identifier
stringlengths 11
32
| pdf_url
stringlengths 17
4.62k
⌀ | lang
stringclasses 120
values | error
stringclasses 1
value | title
stringlengths 2
500
⌀ | source_name
stringlengths 1
435
⌀ | publication_year
float64 1.9k
2.02k
| license
stringclasses 3
values | word_count
int64 0
1.64M
| text
stringlengths 1
9.75M
|
|---|---|---|---|---|---|---|---|---|---|
https://openalex.org/W4244572299
|
https://esurf.copernicus.org/articles/9/1239/2021/esurf-9-1239-2021.pdf
|
English
| null |
Short communication: Analytical models for 2D landscape evolution
| null | 2,021
|
cc-by
| 9,745
|
Short communication: Analytical
models for 2D landscape evolution Philippe Steer
Univ. Rennes, CNRS, Géosciences Rennes, UMR 6118, 35000 Rennes, France
Correspondence: Philippe Steer (philippe.steer@univ-rennes1.fr)
Received: 14 April 2021 – Discussion started: 21 April 2021
Revised: 12 July 2021 – Accepted: 2 August 2021 – Published: 15 September 2021 Philippe Steer
Univ. Rennes, CNRS, Géosciences Rennes, UMR 6118, 35000 Rennes, France
Correspondence: Philippe Steer (philippe.steer@univ-rennes1.fr)
Received: 14 April 2021 – Discussion started: 21 April 2021
Revised: 12 July 2021 – Accepted: 2 August 2021 – Published: 15 September 2021 Abstract. Numerical modelling offers a unique approach to understand how tectonics, climate and surface pro-
cesses govern landscape dynamics. However, the efficiency and accuracy of current landscape evolution models
remain a certain limitation. Here, I develop a new modelling strategy that relies on the use of 1D analytical
solutions to the linear stream power equation to compute the dynamics of landscapes in 2D. This strategy uses
the 1D ordering, by a directed acyclic graph, of model nodes based on their location along the water flow path to
propagate topographic changes in 2D. This analytical model can be used to compute in a single time step, with an
iterative procedure, the steady-state topography of landscapes subjected to river, colluvial and hillslope erosion. This model can also be adapted to compute the dynamic evolution of landscapes under either heterogeneous or
time-variable uplift rate. This new model leads to slope–area relationships exactly consistent with predictions
and to the exact preservation of knickpoint shape throughout their migration. Moreover, the absence of numerical
diffusion or of an upper bound for the time step offers significant advantages compared to numerical models. The main drawback of this novel approach is that it does not guarantee the time continuity of the topography
through successive time steps, despite practically having little impact on model behaviour. Published by Copernicus Publications on behalf of the European Geosciences Union. 1
Introduction to a non-linear kinematic wave equation, which offers sim-
ple finite-difference or finite-volume solutions in 1 and 2D
(e.g. Pelletier, 2008; Braun and Willett, 2013; Campforts and
Govers, 2015; Campforts et al., 2017). Despite these benefits,
these numerical solutions have several drawbacks: (1) their
stability or consistency requires the use of a small time step
that must respect the Courant condition, i.e. that an erosional
wave cannot travel over a distance greater than one or a few
node spacings during one time step, and (2) they are prone
to numerical diffusion and therefore only offer approximate
solutions. Numerical schemes in 2D have recently been de-
veloped to reduce the time-step dependency on grid spac-
ing (Braun and Willett, 2013) or numerical diffusion (Camp-
forts and Govers, 2015). In 1D, evolution of river profiles
can be derived using analytical solutions determined by the
method of the characteristics (Luke, 1972, 1974, 1976; Weis-
sel and Seidl, 1998; Whipple and Tucker, 1999; Lavé, 2005;
Pritchard et al., 2009; Royden and Taylor Perron, 2013). These solutions have been successfully used in formal inver- While the elevated but incised landscapes of mountain belts
testify to the cumulated actions of tectonics, erosion and cli-
mate, unravelling how these processes act and interact to
shape the Earth’s surface remains one of the most challeng-
ing issues in Earth sciences (e.g. Molnar and England, 1990;
Willett, 1999; Whipple, 2009; Steer et al., 2014; Croissant
et al., 2019). Numerical models have been pivotal to under-
standing how topography and erosion respond to spatial and
temporal changes in climate and tectonics (e.g. Howard et al.,
1994; Whipple and Tucker, 1999; Tucker and Whipple, 2002;
Carretier and Lucazeau, 2005; Thieulot et al., 2014; Crois-
sant et al., 2017). At the mountain scale, numerical mod-
els generally account for geomorphological processes using
effective and reduced-complexity erosion laws such as the
stream power incision model (SPIM) for rivers (e.g. Howard
et al., 1994) and diffusion for hillslopes (e.g. Roering et al.,
1999). In particular, the SPIM is popular in landscape evo-
lution models (LEMs) as its physical expression resolves Published by Copernicus Publications on behalf of the European Geosciences Union. 1240 P. Steer: Short communication: Analytical models for 2D landscape evolution where U is the uplift rate, K′ the erodibility, Qw = rA the
water discharge with A the drainage area, r the mean daily
runoff, and m and n are two exponents. 2
From a 1D to a 2D analytical solution to the
stream power law Under this condition and assuming a constant and
homogeneous uplift rate U, the steady-state river profile ele-
vation is Using this response time and assuming a constant but poten-
tially heterogeneous uplift rate U(l) or a uniform but poten-
tially variable uplift rate U(t), river profile elevation can be
derived analytically assuming A is known (see derivation in
Royden and Taylor Perron, 2013). As I intend to implement
a solution in a LEM, the solution needs to remain practical. In particular, it is noticeable that the response time and celer-
ity become independent of local river slope S(l) = ∂z(l,t)/∂l
when n = 1, which is a classical choice in forward or inverse
landscape evolution models (e.g. Goren et al., 2014a; Fox et
al., 2014). Under this condition and assuming a constant and
homogeneous uplift rate U, the steady-state river profile ele-
vation is z(l) =z(0) + Uτ(l) = z(0) + U
l
Z
0
1
KA(l′)m dl′, with z(0) = zbase,
(4) with z(0) = zbase, (4) and with zbase the base-level elevation. Note that this solution
is asynchronous as steady state is achieved for an increas-
ing response time in the upstream direction. Importantly, as
the flow network is not known a priori, this integral solution
still requires one to numerically compute a flow network and
drainage area over a discretized grid. In the following, I adapt
this formalism to develop two modelling approaches which
either computes the steady-state topography of a landscape
or solves for its dynamic evolution (Fig. 1). and with zbase the base-level elevation. Note that this solution
is asynchronous as steady state is achieved for an increas-
ing response time in the upstream direction. Importantly, as
the flow network is not known a priori, this integral solution
still requires one to numerically compute a flow network and
drainage area over a discretized grid. In the following, I adapt
this formalism to develop two modelling approaches which
either computes the steady-state topography of a landscape
or solves for its dynamic evolution (Fig. 1). In 1D, a classical detachment-limited approach to describe
the rate of change in river elevation change z with time t is
the SPIM (Howard and Kerby, 1983; Howard, 1994; Whipple
and Tucker, 1999; Lague, 2014): 3
A single time step iterative solution to
topographic steady state in 2D ∂z(l,t)
∂t
= U(l,t) −K′(l)Qw(l)m
∂z(l,t)
∂l
n
,
(1) This solution (Eq. 1
Introduction This equation can be
cast in a more commonly used form, as a function of drainage
area, by defining an effective erodibility K = K′rm: sion of river profiles (Goren et al., 2014a; Fox et al., 2014;
Goren, 2016), but they have been largely ignored in forward
landscape evolution models, despite their inherent exact ac-
curacy. This likely results from the apparent absence of an
analytical solution in 2D. In this study, I extend the applicability of these 1D ana-
lytical solutions to 2D problems by developing a new type
of landscape evolution model based on analytical solutions. I first demonstrate how this model, that I refer to as Salève,
can be used to compute – in a single time step – a steady-
state topography in 2D. I then develop a dynamic version of
Salève to solve for transient landscape changes under hetero-
geneous or time-variable uplift. Last, I demonstrate the abil-
ity of Salève to accurately model the propagation of knick-
points in LEMs and to account for river, colluvial and hills-
lope erosion. ∂z(l,t)
∂t
= U(l,t) −K(l)A(l)m
∂z(l,t)
∂l
n
. (2) (2) This equation corresponds to a non-linear kinematic wave
equation with a celerity C(l) = K(l)A(l)m(∂z(l,t)/∂l)n−1
representing the speed at which information propagates
along the river (e.g. Rosenbloom and Anderson, 1994; Weis-
sel and Seidl, 1998; Whipple and Tucker, 1999; Royden and
Taylor Perron, 2013). Following Royden and Taylor Per-
ron (2013), this migrating information can be referred to as
slope patches. Integrating the inverse of this celerity along
the river path, from the river outlet at l = 0 to a point of co-
ordinate l along the river, defines the river response time: 2
From a 1D to a 2D analytical solution to the
stream power law τ(l) =
l
Z
0
1
C(l′)dl′ =
l
Z
0
1
K(l′)A(l′)m(∂z(l′,t)/∂l′)n−1 dl′. (3) (3) Most LEMs require the computation of river water discharge
as the main driver of river erosion and sediment transport. While flow algorithms based on physical considerations of-
fer more accurate solutions (e.g. Davy et al., 2017), wa-
ter routing in 2D LEMs is generally achieved using sim-
ple flow algorithms, like the steepest slope (O’Callaghan
and Mark, 1984) or the multi-flow direction (Quinn et al.,
1991; Freeman, 1991). The Fastscape algorithm, and other
graph-based approaches, offers a very efficient means to or-
der nodes along the steepest water flow path and to compute
river discharge and drainage area (Braun and Willett, 2013;
Schwanghart and Scherler, 2014). A single receiver and po-
tentially several donors are attributed to each node of the to-
pographic grid to recursively build a node stack (or graph)
from the outlet node to the crest nodes of each catchment. Each node is therefore associated with its outlet node through
a single flow path. These flow paths represent 2D trajectories
in the (x, y) space that can be converted to pseudo-1D trajec-
tories (i.e. to directed acyclic graphs) using the node order-
ing of the stack. For instance, local river slope along the wa-
ter flow can be computed by simply differentiating elevation
over the distance along the river length l between successive
nodes. The 2D LEMs solving for river erosion using a single
flow algorithm and local river slope or water discharge are
therefore fundamentally solving a 1D problem, based on a
2D description of the flow. To be more accurate, they actu-
ally solve for a series of 1D problems, with one 1D problem
for each catchment connected to an outlet. Using this response time and assuming a constant but poten-
tially heterogeneous uplift rate U(l) or a uniform but poten-
tially variable uplift rate U(t), river profile elevation can be
derived analytically assuming A is known (see derivation in
Royden and Taylor Perron, 2013). As I intend to implement
a solution in a LEM, the solution needs to remain practical. In particular, it is noticeable that the response time and celer-
ity become independent of local river slope S(l) = ∂z(l,t)/∂l
when n = 1, which is a classical choice in forward or inverse
landscape evolution models (e.g. Goren et al., 2014a; Fox et
al., 2014). P. Steer: Short communication: Analytical models for 2D landscape evolution 1241 Figure 1. Overview of the algorithms used for the (a) steady-state
and (b) dynamic simulations. convergence of this iterative procedure, I define the degree of
crest disequilibrium 1zcrest as being the average of the abso-
lute difference of elevation between crest nodes of juxtapos-
ing catchments. I find that 1zcrest follows a rapid decay with
Niter until reaching a slower decay phase when Niter ≥40. 1zcrest never reaches 0 m, even after 100 iterations, as dif-
ferences of elevation can remain along the two sides of the
crests, as in other LEMs, due to the non-continuity of the spa-
tial discretization for grid-based models (Fig. 2c). However,
the model reaches a stable solution at Niter = 127. Note that
running the same model but with a different initial topogra-
phy leads to a variability of this required number of iterations
due to the initial configuration of the flow network. Changing U, K and L while keeping npt constant does
not lead to a significant change in the number of iterations
required to reach steady state (Fig. 3). This shows that the
convergence of this algorithm is independent of the model
parametrization. However, increasing the number of points
npt leads to an increase in the number of iterations required to
reach steady state, which scales with n0.5
pt , or in other words
with the number of nodes in one of the horizontal dimen-
sions (Fig. 3). This scaling emerges due to the more numer-
ous numbers of local (i.e. among direct neighbours) permu-
tations of the crest location required to reach a stable fluvial
organization when increasing npt. Figure 1. Overview of the algorithms used for the (a) steady-state
and (b) dynamic simulations. ceiver node τR(l) and its elevation zR(l): z(l) =zR(l) + U(l)(τ(l) −τR(l)) for l > 0,
and z(0) = zbase. (5) (5) Obviously, this operation needs to be performed iteratively
and in the correct node order, from the outlet node towards
the upstream direction using the node stack or graph (Braun
and Willett, 2013; Schwanghart and Scherler, 2014). Ignor-
ing hillslope processes, I use this solution to attempt com-
puting the steady-state topography with Salève in a single
iteration (Fig. 2). The initial topography consists of a flat sur-
face with a random noise discretized by a regular grid. P. Steer: Short communication: Analytical models for 2D landscape evolution by com-
puting the steepest slope, node order, and drainage area or
discharge) after each iteration leads to a steady-state topog-
raphy after a few tens of iterations Niter (Fig. 2). To assess the The obtained solution looks very roughly like a clas-
sical steady-state topography, and yet it is not strictly at
steady state (Fig. 2). Indeed, during this first iteration, the
scheme used (Fig. 1a) imposes the constraint that rivers de-
velop over the flow network defined by the initial topogra-
phy and, in turn, does not ensure that the nodes located on
the same crest of two juxtaposing catchments share the same
response time or the same elevation. This leads to an exces-
sive elevation as some rivers have planar length greater than
predicted. This is the main limit of this 1D algorithm that
cannot ensure the optimality of the 2D organization of the
river network at steady state after only one iteration (Fig. 2). P. Steer: Short communication: Analytical models for 2D landscape evolution I use
m = 0.5, corresponding to the classical unit stream power,
U = 10 mm yr−1, K′ = 1×10−6 yr−1, r = 5/365 m d−1 and
a square model domain of extent L = 10 km with a reso-
lution of 50 m, corresponding to npt = 40.401 points. Flow
over the topography is computed using the single-flow algo-
rithm provided by TopoToolbox (Schwanghart and Scherler,
2014), which efficiently exploits the directed acyclic graph
structure of the flow network (Phillips et al., 2015). The new algorithm developed in Salève presents sig-
nificant advantages compared to finite-difference schemes,
which are fundamentally limited by the time step 1t that
must respect the Courant conditions 1t < k1x/max(C(l)),
with k equal to ∼0.1 or to 100 for explicit or implicit
schemes, respectively (e.g. Braun and Willett, 2013). There-
fore, these finite-difference solutions are doomed to use
shorter time steps and a larger number of iterations when
considering finer resolutions. On the contrary, this analyt-
ical LEM converges towards steady state with roughly the
same number of iterations, independently of the celerity C(l),
which is set by K, A (i.e. L2) and m. The number of required
iterations, however, increases with n0.5
pt , which is equivalent
to an increase with decreasing 1x = L/n0.5
pt when L is con-
stant, as in classical finite-difference schemes. Moreover, this
steady-state modelling approach is compatible with spatially
variable U, K and r. (
p
)
The obtained solution looks very roughly like a clas-
sical steady-state topography, and yet it is not strictly at
steady state (Fig. 2). Indeed, during this first iteration, the
scheme used (Fig. 1a) imposes the constraint that rivers de-
velop over the flow network defined by the initial topogra-
phy and, in turn, does not ensure that the nodes located on
the same crest of two juxtaposing catchments share the same
response time or the same elevation. This leads to an exces-
sive elevation as some rivers have planar length greater than
predicted. This is the main limit of this 1D algorithm that
cannot ensure the optimality of the 2D organization of the
river network at steady state after only one iteration (Fig. 2). However, repeating this operation by computing the to-
pography and then updating the flow network (i.e. 2
From a 1D to a 2D analytical solution to the
stream power law 4) can be extended to spatially variable
uplift rate U(l) by simply using the response time of the re- (1) ∂t Earth Surf. Dynam., 9, 1239–1250, 2021 Earth Surf. Dynam., 9, 1239–1250, 2021 https://doi.org/10.5194/esurf-9-1239-2021 P. Steer: Short communication: Analytical models for 2D landscape evolution https://doi.org/10.5194/esurf-9-1239-2021 4
A 2D dynamical model with analytical accuracy I now explore the use of this analytical model in dynamic
simulations with Salève (Fig. 1b). I first consider the case
of potentially heterogeneous but constant uplift rate U(l). A
transient solution for river elevation z(l,t) at a specific time t
can be computed using Eqs. (4) or (5) by simply thresholding
the response time so that for every node τ(l,t) = min(τ(l),t). It results in the following: However, repeating this operation by computing the to-
pography and then updating the flow network (i.e. by com-
puting the steepest slope, node order, and drainage area or
discharge) after each iteration leads to a steady-state topog-
raphy after a few tens of iterations Niter (Fig. 2). To assess the z(l,t) =zR(l,t) + U(l)(τ(l,t) −τR(l,t)) for l > 0,
and z(0,t) = zbase. (6) (6) Earth Surf. Dynam., 9, 1239–1250, 2021 Earth Surf. Dynam., 9, 1239–1250, 2021 https://doi.org/10.5194/esurf-9-1239-2021 1242 P. Steer: Short communication: Analytical models for 2D landscape evolution Figure 2. Modelled steady-state topographies obtained after (a) 1 (left panel), 10 (middle panel) and 50 (right panel) iterations. (b) The
steady-state topography is obtained after 127 iterations. (c) Convergence of the iterative algorithm inferred from the degree of crest dis-
equilibrium 1zcrest, computed as the average of the absolute difference of elevation between crest nodes of juxtaposing catchments. Red
dot indicates model shown in panel (b). Note that in panel (a), the colour map is bounded by the maximum elevation of the steady-state
topography shown in panel (b). Figure 2. Modelled steady-state topographies obtained after (a) 1 (left panel), 10 (middle panel) and 50 (right panel) iterations. (b) The
steady-state topography is obtained after 127 iterations. (c) Convergence of the iterative algorithm inferred from the degree of crest dis-
equilibrium 1zcrest, computed as the average of the absolute difference of elevation between crest nodes of juxtaposing catchments. Red
dot indicates model shown in panel (b). Note that in panel (a), the colour map is bounded by the maximum elevation of the steady-state
topography shown in panel (b). This solution therefore enables computation of the time evo-
lution of a landscape under potentially heterogeneous erodi-
bility, uplift and runoff (or precipitation) rates. Thresholding
the response time enforces that the uplift rate is considered
null before the beginning of the simulation. The limitation
of non-optimality of the planar organization of flow network
remains as in the steady-state solution. https://doi.org/10.5194/esurf-9-1239-2021 Earth Surf. Dynam., 9, 1239–1250, 2021 4
A 2D dynamical model with analytical accuracy However, this limita-
tion can be solved by simply updating the river network, the
node order, the steepest slope and water discharge after each
time step, as in any other LEMs. As the time step is not con-
strained by numerical stability issues, such as the Courant
condition, it can be chosen only based on the rate of flow
network reorganization linked to river capture and piracy. Note, however, that in the dynamic Salève models, flow net-
work reorganization will lead to an immediate topographic
reorganization, to respect Eq. (6). Indeed, time evolution of
the elevation in Salève should not be seen as a continuous
time evolution of a same topography, which would evolve by
erosion under different time and space distributions of water
discharge (e.g. as in other LEMs), but as a succession of to-
pographic realizations which respect that the distribution of elevation is set by the flow network. In other words, Salève
does not fully guarantee the time continuity of the topogra-
phy through successive time steps, despite practically having
a limited impact on model behaviour as I will demonstrate
later. I here run a simulation, using the same parameters as
in the steady-state simulation, over a duration of 500 kyr
(Fig. 4). The time steps 1t = 2 and 0.2 kyr correspond to
about 45 and 4.5 times the Courant condition, respectively. Because implicit finite-difference solutions to the SPIM also
remain numerically stable for time steps longer than the one
imposed by the Courant condition, I also run simulations us-
ing an implicit solution with the same parameters and time
steps and compare them to the results of the Salève simula-
tions. The implicit solution is computed following Eq. (22) in
Braun and Willett (2013). I also compare Salève with results
obtained with an implicit solution using a time step 1t =
0.002 kyr, corresponding to a Courant condition of 0.45. The final topographies, i.e. at steady state, obtained with
Salève or with the implicit solution share roughly the same
statistical properties in terms of vertical and horizontal orga- Earth Surf. Dynam., 9, 1239–1250, 2021 https://doi.org/10.5194/esurf-9-1239-2021 P. Steer: Short communication: Analytical models for 2D landscape evolution P. Steer: Short communication: Analytical models for 2D landscape evolution 1243 Figure 3. Influence of model parameters and geometry on the con-
vergence towards a steady-state landscape. (a) Uplift rate U was
varied between 10−4 and 1 m yr−1. 4
A 2D dynamical model with analytical accuracy (b) Erodibility K was varied
between 1 × 10−7 and 1 × 10−3 yr−1. (c) Model length L was var-
ied between 0.1 and 100 km. (d) The number of model points npt
was varied between 1.2 × 103 and 0.4 × 106. (e) The relationship
between the number of iterations required to reach steady state and
npt follows a power law with an exponent 0.5 (blue line). models continues to evolve after steady state, in particular the
maximum elevation max(z), with larger variations for mod-
els with longer time steps, which occurs due to catchment
reorganization and numerical noise. g
Moreover, erosion rates E first increase more slowly and
then more rapidly in Salève than with the implicit solu-
tions before reaching steady state (Fig. 3d). In particular,
the second phase is due to longer upstream distances and
erosional response times in the topographies simulated with
the implicit solution than with Salève (Fig. 3f). This is at
least partly due to the dependency of the transient phase du-
ration on 1t for finite-difference models (Braun and Wil-
lett, 2013). Geometrically, longer transient phases are as-
sociated with fluvial networks with longer upstream dis-
tances, i.e. distances to the outlet, in the implicit models
with longer time steps compared to implicit models with
shorter time steps or to Salève models (Fig. 3e). These re-
sults also show that the response time of the landscapes is
shorter than with other 2D LEMs as it is equal to the 1D re-
sponse time, based on the flow network length at steady state,
when the time step used is sufficiently short to allow progres-
sive reorganization of the fluvial network (e.g. model with
1t = 0.2 kyr). Erosion rates in Salève, calculated by differencing eleva-
tion between successive time steps and subtracting the con-
tribution of uplift, are significantly more variable, in partic-
ular for the model with the shorter time step 1t = 0.2 kyr
than with the implicit solutions. This variability highlights
phases of fluvial network reorganization which lead to im-
mediate topographic reorganization, due to time discontinu-
ity, and therefore to an immediate increase in erosion rates. Figure 3. Influence of model parameters and geometry on the con-
vergence towards a steady-state landscape. (a) Uplift rate U was
varied between 10−4 and 1 m yr−1. (b) Erodibility K was varied
between 1 × 10−7 and 1 × 10−3 yr−1. 4
A 2D dynamical model with analytical accuracy (c) Model length L was var-
ied between 0.1 and 100 km. (d) The number of model points npt
was varied between 1.2 × 103 and 0.4 × 106. (e) The relationship
between the number of iterations required to reach steady state and
npt follows a power law with an exponent 0.5 (blue line). In terms of horizontal organization, all the Salève and im-
plicit models lead to the same Hack’s law (Hack, 1957),
which relates, through a power-law relationship, the down-
stream maximum river length Lr with catchment area: Lr ∝
Ah. A least-square fitting gives an exponent h of 0.65 ±
0.01 for Salève and the implicit models at steady state,
with no dependency over 1t. In terms of vertical organiza-
tion, the slope–discharge relationship obtained with Salève
at steady state fits perfectly with the predicted one, S =
(U/K)1/nQ−m/n, while the implicit solution shows a signif-
icant spread, in particular at low drainage area or discharge,
which increases with 1t (Fig. 3d). Using 1t = 0.02 instead
of 2 kyr leads to a slightly better consistency between the im-
plicit and Salève solution, including the slope–discharge re-
lationship and the temporal evolution of elevation. nization. The time evolution of the mean elevation (mean(z))
and maximum elevation (max(z)) is similar in all the mod-
els, even if the steady-state value is higher by ∼50 for
mean(z) and ∼500 m for max(z), with the implicit solution
(Fig. 4c). Moreover, the fluvial network and hence the to-
pography modelled with Salève reach a stable configuration
once at steady state, with no subsequent vertical or horizon-
tal changes. Topographic stability occurs when the model
time t becomes greater or equal to the response time τ(l)
of all the model nodes, and in particular the ones located on
crests (Fig. 4b). This is particularly true if 1t is small enough
to allow the horizontal organization of the fluvial network
to evolve concomitantly with its vertical component. On the
contrary, the topography simulated by the finite-difference 5
Application: time-variable uplift and knickpoint
propagation I now investigate the case of time-variable but homogeneous
uplift rate U(t). Following Royden and Taylor Perron (2013),
this case leads to additional complexity as the uplift rate,
when the slope patches were initiated, must be tracked during https://doi.org/10.5194/esurf-9-1239-2021 Earth Surf. Dynam., 9, 1239–1250, 2021 1244
P. Steer: Short communication: Analytical models for 2D landscape evolutio
Figure 4. Dynamic behaviour of the Salève model. (a) Time evolution of the modelled topography after 50 (left panel), 150 (middle pane
and 500 kyr (right panel). Time evolution of the (b) max elevation, (c) mean elevation and (d) mean erosion rate for Salève, using a time ste
of 1t = 2 kyr (black line) and 0.2 kyr (dashed black line) and for the implicit solution with 1t = 2 kyr (blue line), 0.2 kyr (green line) an
0.02 kyr (red line). The uplift rate U is shown in panel (d) with a cyan line. (e) Slope–discharge distributions at steady state (at 500 kyr) f
the three models compared to the predicted relationship (cyan line). No binning is done, and all the model nodes are represented in panel (d
(f) Histograms of upstream distances d (left panel) and response times τ (right panel) for the different models at steady state. upstream migration. In a LEM, this is performed by com-
i
h
ifi
i
h
I
f
h
lif
computed in the upstream direction, starting with the riv
l P. Steer: Short communication: Analytical models for 2D landscape evolution 1244 Figure 4. Dynamic behaviour of the Salève model. (a) Time evolution of the modelled topography after 50 (left panel), 150 (middle panel)
and 500 kyr (right panel). Time evolution of the (b) max elevation, (c) mean elevation and (d) mean erosion rate for Salève, using a time step
of 1t = 2 kyr (black line) and 0.2 kyr (dashed black line) and for the implicit solution with 1t = 2 kyr (blue line), 0.2 kyr (green line) and
0.02 kyr (red line). The uplift rate U is shown in panel (d) with a cyan line. (e) Slope–discharge distributions at steady state (at 500 kyr) for
the three models compared to the predicted relationship (cyan line). No binning is done, and all the model nodes are represented in panel (d). (f) Histograms of upstream distances d (left panel) and response times τ (right panel) for the different models at steady state. 6
Solving for river and hillslope dynamics p
Discrete temporal changes in uplift rates or in base-level
elevation can lead to sharp ruptures in the slope of river pro-
files, generally referred to as knickpoints (e.g. Rosenbloom
and Anderson, 1994; Whipple and Tucker, 1999; Steer et al.,
2019). Finite-difference solutions to the stream power equa-
tion inherently lead to a progressive numerical diffusion of
knickpoints during their migration, even with n = 1, while
the algorithm developed here preserves the shape of knick-
points. To illustrate this advantage, I run a simulation with the
same parameters as in the steady-state case, except that U is
raised from 10 to 20 mm yr−1 at 250 kyr for a total model
duration of 500 kyr (Fig. 5). Compared to previous models,
the model is here restricted to an extent of 10 km over 2 km,
with only one boundary (left) that is considered as possible
outlets for water. This setting limits fluvial network reorgani-
zation (or time discontinuity) and in turn allows for tracking
geomorphological features during the evolution of the land-
scape. I use a time step of 25 kyr, which is about 500 times
greater than the time step imposed by the Courant condition,
clearly above the range of time steps compatible with nu-
merical solutions. Despite this, the knickpoints formed at the
outlets of the model at 250 kyr, at the onset of the increase
in uplift rate, are accurately modelled, i.e. with analytical ac-
curacy, throughout their propagation (Fig. 5c). The shape of In previous sections, I have considered the steady-state and
dynamic solutions of landscapes subjected only to river ero-
sion following the SPIM. However, these analytical solutions
can be extended to simulate the dynamics and morphology of
colluvial valleys and hillslopes. Indeed, a power-law scaling
for the slope–area relationship is observed in colluvial val-
leys, which suggest they could obey a similar erosion law
as Eq. (1), but with different m and n exponents (Lague
and Davy, 2003). A solution with m = 0.24 and n = 1, but
considering a non-negligible incision threshold, was found
to best explain the geometry of colluvial valleys in the Si-
walik Hills of Nepal for drainage area between 7 × 10−3
and 1 km2, representing the thresholds in drainage area be-
tween colluvial valleys and hillslopes or rivers, respectively
(Lague and Davy, 2003). 5
Application: time-variable uplift and knickpoint
propagation computed in the upstream direction, starting with the river
outlets, as upstream migration. In a LEM, this is performed by com-
puting, at the specific time t, what I refer to as the uplift
memory map Umem(l,t) = U(t −τ(l,t)). It is not equivalent
to a classical uplift map and corresponds to the uplift rate
when the slope patches were formed. I remind the reader
here that the response time is bounded by actual model time
τ(l,t) = min(τ(l),t). The elevation at a time t is then simply z(l,t) =zR(l,t) + Umem(l,t)(τ(l,t) −τR(l,t)) for l > 0,
and z(0,t) = zbase. (7) (7) As in the heterogeneous uplift case, this solution is easily
implemented in a LEM by updating the river network and its As in the heterogeneous uplift case, this solution is easily
implemented in a LEM by updating the river network and its Earth Surf. Dynam., 9, 1239–1250, 2021 https://doi.org/10.5194/esurf-9-1239-2021 P. Steer: Short communication: Analytical models for 2D landscape evolution 1245 Figure 5. Dynamic evolution of the topography and knickpoint migration over 500 kyr. The initial uplift rate U = 10 mm yr−1 is doubled
after 250 kyr. (a) Topography before the increase in uplift at 50 (top panel), 125 (middle panel) and 225 kyr (bottom panel). (b) Topography
after the increase in uplift at 300 (top panel), 400 (middle panel) and 500 kyr (bottom panel). (c) Temporal evolution of the longest river
profile shown at every time step (except the first one), with the “winter” and “autumn” colour map showing river profiles before and after the
increase in uplift. (d) Temporal evolution of the uplift (blue squares) and erosion (red circles) rates. Figure 5. Dynamic evolution of the topography and knickpoint migration over 500 kyr. The initial uplift rate U = 10 mm yr−1 is doubled
after 250 kyr. (a) Topography before the increase in uplift at 50 (top panel), 125 (middle panel) and 225 kyr (bottom panel). (b) Topography
after the increase in uplift at 300 (top panel), 400 (middle panel) and 500 kyr (bottom panel). (c) Temporal evolution of the longest river
profile shown at every time step (except the first one), with the “winter” and “autumn” colour map showing river profiles before and after the
increase in uplift. (d) Temporal evolution of the uplift (blue squares) and erosion (red circles) rates. the knickpoint is also kept throughout its migration. 5
Application: time-variable uplift and knickpoint
propagation I also
highlight here that, due to the model setting with only one
outlet boundary, which limits river reorganization (and time
discontinuity), erosion rates are smoother than in Fig. 4. properties after each time step. I also emphasize here that the
previous model example (Fig. 4) is already a specific case
of a time-variable uplift rate, with a change in uplift rate
which occurs at the beginning of the simulation, leading in
turn to a simpler formalism (Eq. 6). In the following, I focus
on demonstrating the ability of the model to simulate and
track knickpoints. 7
Discussion and conclusion hillslope erosion (e.g. Tucker and Bras, 1998; Densmore et
al., 1998; Roering et al., 1999; Lague and Davy, 2013; Jean-
det et al., 2019) but that this framework can approximate the
observed geometrical relationships between slope and area. Based on previous analytical developments (e.g. Royden and
Taylor Perron, 2013), I have designed a new method to solve
for the steady-state topography or the dynamic evolution of a
landscape in 2D, following the SPIM, with analytical preci-
sion. The model can solve in a single time step, using an iter-
ative scheme, the steady-state topography of a landscape un-
der homogeneous or heterogenous conditions (i.e. uplift rate,
erodibility and runoff). Iterations are required to optimize the
planar organization of the river network and crest positions,
starting from a random network. The number of iterations
required for the convergence of the scheme only depends on
the number of nodes discretizing the surface topography and
only scales with n0.5
pt , independently of other model parame-
ters. Moreover, the model can also solve for the dynamic evo-
lution of a landscape under either heterogeneous but constant
or time-variable but homogeneous conditions. The dynamic
and steady-state Salève models can solve for river, colluvial
and hillslope erosion, if the associated erosion laws lead to
slope–area (or discharge) relationships that can be modelled
using a linear SPIM. The two main benefits of this new model
are (1) its analytical accuracy that enables suppression of nu-
merical diffusion and, for instance, the maintenance of the
shape of knickpoints and (2) the absence of an upper bound
for the time step that is not limited by the Courant condi-
tion. Contrary to any other state-of-the-art LEMs using the
SPIM (e.g. Braun and Willett, 2013; Carretier et al., 2016;
Campforts et al., 2017; Hobley et al., 2017; Salles, 2018), the
time-stepping strategy in Salève can be chosen only based
on physical considerations, such as the rate of river network
reorganization, and not on numerical ones. All these advan-
tages make Salève unique in its ability to efficiently model
landscape evolution. In addition to its use in landscape evolu-
tion modelling, Salève could offer new opportunities to gen-
erate terrains for applications in computer graphics (e.g. Cor-
donnier et al., 2016); to infer the time and space evolution
of uplift by inverting landscapes in 2D (e.g. 6
Solving for river and hillslope dynamics Below the area transition between
colluvial valleys and hillslopes, the power-law scaling for the
slope–area relationship becomes flat, due to landsliding and
mass wasting processes, or reverts where hilltops are convex
(Ijjasz-Vasquez and Bras, 1995; Tarolli and Dalla Fontana,
2009). Once again, this hillslope domain could be geometri-
cally modelled using the SPIM with different m and n, e.g. with m = 0 and n = 1, to model hillslopes following a critical
angle of repose Sc. I do not argue here that these laws nec-
essarily encapsulate the processes controlling colluvial and https://doi.org/10.5194/esurf-9-1239-2021 Earth Surf. Dynam., 9, 1239–1250, 2021 P. Steer: Short communication: Analytical models for 2D landscape evolution P. Steer: Short communication: Analytical models for 2D landscape evolution P. Steer: Short communication: Analytical models for 2D landscape evolution 1246 https://doi.org/10.5194/esurf-9-1239-2021 Earth Surf. Dynam., 9, 1239–1250, 2021 7
Discussion and conclusion Other analytical solutions can be considered to account
for hillslope processes such as the one developed in the DAC
model (Goren et al 2014b) τ(l) =
l
Z
0
1
K1(l)A(l)m1 dl′
for l < l1,
τ(l) =
l1
Z
0
1
K1(l)A(l)m1 dl′ +
l
Z
l1
1
K2(l)A(l)m2 dl′
for l1 < l ≤l2,
τ(l) =
l1
Z
0
1
K1(l)A(l)m1 dl′ +
l2
Z
l1
1
K2(l)A(l)m2 dl′
+
l
Z
l2
1
K3(l)A(l)m3 dl′
for l > l2,
(8) τ(l) =
l
Z
0
1
K1(l)A(l)m1 dl′
for l < l1,
τ(l) =
l1
Z
0
1
K1(l)A(l)m1 dl′ +
l
Z
l1
1
K2(l)A(l)m2 dl′
for l1 < l ≤l2,
τ(l) =
l1
Z
0
1
K1(l)A(l)m1 dl′ +
l2
Z
l1
1
K2(l)A(l)m2 dl′
+
l
Z
l2
1
K3(l)A(l)m3 dl′
for l > l2,
(8) (8) where A(l1) and A(l2) are model parameters that define the
threshold areas for river to colluvial valley and for colluvial
valley to hillslope transitions, and (K1, m1), (K2, m2), and
(K3, m3) are the K values and m exponents for rivers, col-
luvial valleys and hillslopes, respectively. I emphasize here
that the colluvial law used here is only inspired from the col-
luvial law described in Lague and Davy (2003), as it neglects
the incision threshold which lead to a non-linear behaviour. Figure 6 shows the steady-state topographies obtained when
considering river, colluvial and hillslope erosion. Consider-
ing these additional erosion laws leads, as expected, to dif-
ferent scaling in the slope–discharge relationships, separated
by thresholds in discharge or drainage area. These thresholds
should be chosen to ensure (1) the continuity of the slope–
discharge relationship and (2) the slope is equal to Sc when
A ≤A(l2). I emphasize, once again, that the models devel-
oped here lead to slope–discharge relationships with exact
accuracy, at steady state, due to the use of analytical solu-
tions. Other analytical solutions can be considered to account
for hillslope processes such as the one developed in the DAC
model (Goren et al., 2014b). where A(l1) and A(l2) are model parameters that define the
threshold areas for river to colluvial valley and for colluvial
valley to hillslope transitions, and (K1, m1), (K2, m2), and
(K3, m3) are the K values and m exponents for rivers, col-
luvial valleys and hillslopes, respectively. 7
Discussion and conclusion Pritchard et al.,
2009; Roberts and White, 2010; Goren et al., 2014a; Fox et
al., 2014; Croissant and Braun, 2014) including river, collu-
vial valleys, and hillslopes; to predict thermochronological
ages from landscape evolution (e.g. Braun et al., 2014); or
to validate the accuracy of numerical schemes used in other
LEMs. The model is fast as it makes use of the optimized
flow routing algorithm provided by TopoToolbox (Schwang-
hart and Scherler, 2014). The developed scheme that uses 1D analytical solutions Practically, considering three different erosion laws, for
river, colluvial valleys and hillslopes, simply requires chang-
ing the value of K, m and n in the definition of celerity in the
response time equation (Eq. 3) for each of the different do-
mains, separated by thresholds in discharge or drainage area. Keeping n = 1 for simplicity leads to the following set of re-
sponse time equations: τ(l) =
l
Z
0
1
K1(l)A(l)m1 dl′
for l < l1,
τ(l) =
l1
Z
0
1
K1(l)A(l)m1 dl′ +
l
Z
l1
1
K2(l)A(l)m2 dl′
for l1 < l ≤l2,
τ(l) =
l1
Z
0
1
K1(l)A(l)m1 dl′ +
l2
Z
l1
1
K2(l)A(l)m2 dl′
+
l
Z
l2
1
K3(l)A(l)m3 dl′
for l > l2,
(8)
where A(l1) and A(l2) are model parameters that define the
threshold areas for river to colluvial valley and for colluvial
valley to hillslope transitions, and (K1, m1), (K2, m2), and
(K3, m3) are the K values and m exponents for rivers, col-
luvial valleys and hillslopes, respectively. I emphasize here
that the colluvial law used here is only inspired from the col-
luvial law described in Lague and Davy (2003), as it neglects
the incision threshold which lead to a non-linear behaviour. Figure 6 shows the steady-state topographies obtained when
considering river, colluvial and hillslope erosion. Consider-
ing these additional erosion laws leads, as expected, to dif-
ferent scaling in the slope–discharge relationships, separated
by thresholds in discharge or drainage area. These thresholds
should be chosen to ensure (1) the continuity of the slope–
discharge relationship and (2) the slope is equal to Sc when
A ≤A(l2). I emphasize, once again, that the models devel-
oped here lead to slope–discharge relationships with exact
accuracy, at steady state, due to the use of analytical solu-
tions. 7
Discussion and conclusion I emphasize here
that the colluvial law used here is only inspired from the col-
luvial law described in Lague and Davy (2003), as it neglects
the incision threshold which lead to a non-linear behaviour. Figure 6 shows the steady-state topographies obtained when
considering river, colluvial and hillslope erosion. Consider-
ing these additional erosion laws leads, as expected, to dif-
ferent scaling in the slope–discharge relationships, separated
by thresholds in discharge or drainage area. These thresholds
should be chosen to ensure (1) the continuity of the slope–
discharge relationship and (2) the slope is equal to Sc when
A ≤A(l2). I emphasize, once again, that the models devel-
oped here lead to slope–discharge relationships with exact
accuracy, at steady state, due to the use of analytical solu-
tions. Other analytical solutions can be considered to account
for hillslope processes such as the one developed in the DAC
model (Goren et al., 2014b). The developed scheme, that uses 1D analytical solutions,
is limited to flow networks that can be topologically classi-
fied as 1D node stacks or graphs (Braun and Willett, 2013), as
resulting from a steepest slope flow routing algorithm. This
excludes, for instance, recent models accounting for flow
algorithms based on physical considerations (Davy et al.,
2017). The main limitation of this new approach is that re-
organizations of the river network, such as catchment piracy,
will not lead to transient phases of erosion, as the river el- Earth Surf. Dynam., 9, 1239–1250, 2021 https://doi.org/10.5194/esurf-9-1239-2021 1247 P. Steer: Short communication: Analytical models for 2D landscape evolution Figure 6. Steady-state topographies obtained with Salève considering only (a) stream power incision (m = 0.5) in rivers (like in Fig. 1),
(b) stream power incision (m = 0.5) in rivers and colluvial erosion (m = 0.24), and (c) stream power incision in rivers (m = 0.5), colluvial
erosion (m = 0.24), and hillslopes following a critical slope (m = 0) of Sc = 30◦. To better highlight relief, elevation is represented by
transparency over the raster of hillshade. (d) Slope–discharge distributions for these three models. Figure 6. Steady-state topographies obtained with Salève considering only (a) stream power incision (m = 0.5) in rivers (like in Fig. https://doi.org/10.5194/esurf-9-1239-2021 References Barnes, R., Lehman, C., and Mulla, D.: Priority-flood: An optimal
depression-filling and watershed-labeling algorithm for digital
elevation models, Comput. Geosci., 62, 117–127, 2014. Braun, J. and Sambridge, M.: Modelling landscape evolution on ge-
ological time scales: a new method based on irregular spatial dis-
cretization, Basin Res., 9, 27–52, 1997. Braun, J. and Willett, S. D.: A very efficient O(n), implicit and
parallel method to solve the stream power equation governing
fluvial incision and landscape evolution, Geomorphology, 180,
170–179, 2013. Braun, J., Simon-Labric, T., Murray, K. E., and Reiners, P. W.: To-
pographic relief driven by variations in surface rock density, Nat. Geosci., 7, 534–540, 2014. Campforts, B. and Govers, G.: Keeping the edge: A numerical
method that avoids knickpoint smearing when solving the stream
power law, J. Geophys. Res.-Earth, 120, 1189–1205, 2015. Campforts, B., Schwanghart, W., and Govers, G.: Accurate simu-
lation of transient landscape evolution by eliminating numerical
diffusion: the TTLEM 1.0 model, Earth Surf. Dynam., 5, 47–66,
https://doi.org/10.5194/esurf-5-47-2017, 2017. Carretier, S. and Lucazeau, F.: How does alluvial sedimentation at
range fronts modify the erosional dynamics of mountain catch-
ments?, Basin Res., 17, 361–381, 2005. Code availability. A
MATLAB
version
of
the
model
can
be
accessed
through
a
Zenodo
repository:
https://doi.org/10.5281/zenodo.4686733
(Steer,
2021). It
is
delivered with a routine to solve for the stream power law using an
implicit finite-difference solution. Code availability. A
MATLAB
version
of
the
model
can
be
accessed
through
a
Zenodo
repository:
https://doi.org/10.5281/zenodo.4686733
(Steer,
2021). It
is
delivered with a routine to solve for the stream power law using an
implicit finite-difference solution. Carretier, S., Martinod, P., Reich, M., and Goddéris, Y.: Modelling
sediment clasts transport during landscape evolution, Earth Surf. Dynam., 4, 237–251, 2016. Cordonnier, G., Braun, J., Cani, M. P., Benes, B., Galin, E., Pey-
tavie, A., and Guérin, E.: Large scale terrain generation from
tectonic uplift and fluvial erosion, Comput. Graph. Forum, 35,
165–175, 2016. Competing interests. The author declares that there is no con-
flict of interest. Croissant, T. and Braun, J.: Constraining the stream power law:
a novel approach combining a landscape evolution model
and an inversion method, Earth Surf. Dynam., 2, 155–166,
https://doi.org/10.5194/esurf-2-155-2014, 2014. Disclaimer. Publisher’s note: Copernicus Publications remains
neutral with regard to jurisdictional claims in published maps and
institutional affiliations. Croissant, T., Lague, D., Steer, P., and Davy, P.: Rapid post-
seismic landslide evacuation boosted by dynamic river width,
Nat. Geosci., 10, 680–684, 2017. 7
Discussion and conclusion lapping or stretching river profiles for n > 1 or n < 1, re-
spectively (Royden and Taylor Perron, 2013). Using Salève
to simulate the impact of both a heterogeneous and time-
variable uplift rate has not been attempted and might also
result in convergence issues. Moreover, using an even more
efficient algorithm to route water also represents a promising
avenue (e.g. Barnes et al., 2014). This is critical for Salève
that can use a time step much greater than the Courant con-
dition and for which the main computational limit is the flow
routing algorithm. Therefore, no computational time bench-
mark was done for this new model, as the computation of
elevation changes, even on large grids, is negligible com-
pared to flow routing. In turn, solving for individual time
steps in this model takes a similar amount of computational
time as in other similar LEMs using the same flow routing
algorithm (e.g. Braun and Willett, 2013; Schwanghart and
Scherler, 2014). Yet, the advantage of this new model is its
ability to use longer time steps while preserving analytical
accuracy and consistency. Lastly, Salève represents the first
attempt to use analytical solutions to model the dynamics of
landscapes in 2D using the SPIM. Because little modifica-
tions are required to implement this solution in other LEMs, I
believe the strategy developed in this paper could be adapted
and further developed to make LEMs more efficient and ac-
curate. Review statement. This paper was edited by Greg Hancock and
reviewed by Sebastien Carretier and Liran Goren. 7
Discussion and conclusion 1),
(b) stream power incision (m = 0.5) in rivers and colluvial erosion (m = 0.24), and (c) stream power incision in rivers (m = 0.5), colluvial
erosion (m = 0.24), and hillslopes following a critical slope (m = 0) of Sc = 30◦. To better highlight relief, elevation is represented by
transparency over the raster of hillshade. (d) Slope–discharge distributions for these three models. evation is directly updated to its optimal elevation for each
node where t ≤τ(l,t). The response time of the modelled
landscapes is therefore shorter than with other 2D LEMs as
it is equal to the 1D response time based on the flow network
length at steady state. Moreover, the flow network topology
is updated at every iteration or time step, in the steady-state
or dynamic modes, respectively, while other strategies, based
on physical criterion, could be adopted (Goren et al., 2014b). If many dynamic LEMs use the same approach (e.g. Braun
and Willett, 2013), this is a critical aspect of the convergence
speed and computational time in the steady-state mode, and
future work should focus on accelerating it. tive to the location of the base-level condition. Moreover,
Salève is a purely detachment-limited model which does not
consider the role of sediment transport and deposition in
landscape dynamics. Only the linear SPIM with n = 1 has
been considered in this study, while some observations sup-
port non-linear models with greater values for n (e.g. Lague,
2014). These limitations also emphasize that analytical so-
lutions to landscape dynamics, such as Salève, represent a
complementary approach to other “numerical” LEMs, which
are in essence more versatile and allow for tackling coupled
or complex scientific problems which characterize geomor-
phological systems. The Salève model is also not designed for horizontal tec-
tonic displacement (e.g. Braun and Sambridge, 1997; Steer
et al., 2011; Miller et al., 2007) that displaces nodes rela- Extending the Salève algorithm to non-linear SPIMs rep-
resents a challenging and non-trivial perspective that requires
accounting for more complex analytical solutions with over- https://doi.org/10.5194/esurf-9-1239-2021 Earth Surf. Dynam., 9, 1239–1250, 2021 P. Steer: Short communication: Analytical models for 2D landscape evolution P. Steer: Short communication: Analytical models for 2D landscape evolution P. Steer: Short communication: Analytical models for 2D landscape evolution 1248 Review statement. This paper was edited by Greg Hancock and
reviewed by Sebastien Carretier and Liran Goren. Financial support. This research has been supported by the
H2020 European Research Council (grant no. 803721). References D., Herman, F., and Braun, J.: Coupled
numerical–analytical approach to landscape evolution modeling,
Earth Surf. Proc. Land., 39, 522–545, 2014b. Roberts, G. G. and White, N.: Estimating uplift rate histories from
river profiles using African examples, J. Geophys. Res.-Solid,
115, B02406, https://doi.org/10.1029/2009JB006692, 2010. Hack, J. T.: Studies of longitudinal profiles in Virginia and Mary-
land, U.S. Geol. Surv. Prof. Pap., 294, 45–97, 1957. Roering, J. J., Kirchner, J. W., and Dietrich, W. E.: Evidence for
nonlinear, diffusive sediment transport on hillslopes and impli-
cations for landscape morphology, Water Resour. Res., 35, 853–
870, 1999. Hobley, D. E. J., Adams, J. M., Nudurupati, S. S., Hutton, E. W. H., Gasparini, N. M., Istanbulluoglu, E., and Tucker, G. E.: Cre-
ative computing with Landlab: an open-source toolkit for build-
ing, coupling, and exploring two-dimensional numerical mod-
els of Earth-surface dynamics, Earth Surf. Dynam., 5, 21–46,
https://doi.org/10.5194/esurf-5-21-2017, 2017. Rosenbloom, N. A. and Anderson, R. S.: Hillslope and channel evo-
lution in a marine terraced landscape, Santa Cruz, California, J. Geophys. Res.-Solid, 99, 14013–14029, 1994. Howard, A. D.: A detachment-limited model of drainage basin evo-
lution, Water Resour. Res., 30, 2261–2285, 1994. Royden, L. and Taylor Perron, J.: Solutions of the stream power
equation and application to the evolution of river longitudinal
profiles, J. Geophys. Res.-Earth, 118, 497–518, 2013. Howard, A. D. and Kerby, G.: Channel changes in badlands, Geol. Soc. Am. Bull., 94, 739–752, 1983. Salles,
T.:
eSCAPE:
parallel
global-scale
landscape
evolution
model,
J. Open
Source
Softw.,
3,
964,
https://doi.org/10.21105/joss.00964, 2018. Howard, A. D., Dietrich, W. E., and Seidl, M. A.: Modeling fluvial
erosion on regional to continental scales, J. Geophys. Res.-Solid,
99, 13971–13986, 1994. Ijjasz-Vasquez, E. J. and Bras, R. L.: Scaling regimes of local slope
versus contributing area in digital elevation models, Geomor-
phology, 12, 299–311, 1995. Schwanghart, W. and Scherler, D.: Short Communication: Topo-
Toolbox 2 – MATLAB-based software for topographic analysis
and modeling in Earth surface sciences, Earth Surf. Dynam., 2,
1–7, https://doi.org/10.5194/esurf-2-1-2014, 2014. Jeandet, L., Steer, P., Lague, D., and Davy, P.: Coulomb mechan-
ics and relief constraints explain landslide size distribution, Geo-
phys. Res. Lett., 46, 4258–4266, 2019. Steer, P.: philippesteer/Saleve_regular: (Version v1), Zenodo
[code], https://doi.org/10.5281/zenodo.4686733, 2021. Lague, D.: The stream power river incision model: evidence, theory
and beyond, Earth Surf. Proc. Land., 39, 38–61, 2014. References Croissant, T., Steer, P., Lague, D., Davy, P., Jeandet, L., and Hilton,
R. G.: Seismic cycles, earthquakes, landslides and sediment
fluxes: Linking tectonics to surface processes using a reduced-
complexity model, Geomorphology, 339, 87–103, 2019. Acknowledgements. The two reviewers, Liran Goren and
Sébastien Carretier, as well as the editor, Joshua West, and asso-
ciate editor, Greg Hancock, are acknowledged for their constructive
comments that helped with improving this article. I am also grate-
ful to Sean Willett for his insightful comments on an earlier version
of this article. I thank Dimitri Lague, Philippe Davy, Jean Braun,
Boris Gailleton, Joris Heyman, Alain Crave, Thomas Croissant and
Edwin Baynes for their helpful comments and for discussions about
this work. Davy, P., Croissant, T., and Lague, D.: A precipiton method to cal-
culate river hydrodynamics, with applications to flood prediction,
landscape evolution models, and braiding instabilities, J. Geo-
phys. Res.-Earth, 122, 1491–1512, 2017. Densmore, A. L., Ellis, M. A., and Anderson, R. S.: Landsliding and
the evolution of normal-fault-bounded mountains, J. Geophys. Res.-Solid, 103, 15203–15219, 1998. Fox, M., Goren, L., May, D. A., and Willett, S. D.: Inversion of
fluvial channels for paleorock uplift rates in Taiwan, J. Geophys. Res.-Earth, 119, 1853–1875, 2014. Financial support. This research has been supported by the
H2020 European Research Council (grant no. 803721). Freeman, T. G.: Calculating catchment area with divergent flow
based on a regular grid, Comput. Geosci., 17, 413–422, 1991. Earth Surf. Dynam., 9, 1239–1250, 2021 https://doi.org/10.5194/esurf-9-1239-2021 https://doi.org/10.5194/esurf-9-1239-2021 P. Steer: Short communication: Analytical models for 2D landscape evolution 1249 Phillips, J. D., Schwanghart, W., and Heckmann, T.: Graph theory
in the geosciences, Earth-Sci. Rev., 143, 147–160, 2015. Goren, L.: A theoretical model for fluvial channel response time
during time-dependent climatic and tectonic forcing and its in-
verse applications, Geophys. Res. Lett., 43, 10753–10763, 2016. Pritchard, D., Roberts, G. G., White, N. J., and Richardson, C. N.: Uplift histories from river profiles, Geophys. Res. Lett., 36,
L24301, https://doi.org/10.1029/2009GL040928, 2009. Goren, L., Fox, M., and Willett, S. D.: Tectonics from fluvial to-
pography using formal linear inversion: Theory and applications
to the Inyo Mountains, California, J. Geophys. Res.-Earth, 119,
1651–1681, 2014a. Quinn, P. F. B. J., Beven, K., Chevallier, P., and Planchon, O.: The
prediction of hillslope flow paths for distributed hydrological
modelling using digital terrain models, Hydrol. Process., 5, 59–
79, 1991. Goren, L., Willett, S. References Steer, P., Cattin, R., Lavé, J., and Godard, V.: Surface Lagrangian
Remeshing: A new tool for studying long term evolution of
continental lithosphere from 2D numerical modelling, Comput. Geosci., 37, 1067–1074, 2011. Lague, D. and Davy, P.: Constraints on the long-term colluvial ero-
sion law by analyzing slope-area relationships at various tectonic
uplift rates in the Siwaliks Hills (Nepal), J. Geophys. Res.-Solid,
108, 2129, https://doi.org/10.1029/2002JB001893, 2003. Steer, P., Simoes, M., Cattin, R., and Shyu, J. B. H.: Erosion in-
fluences the seismicity of active thrust faults, Nat. Commun., 5,
5564, https://doi.org/10.1038/ncomms6564, 2014. Lavé, J.: Analytic solution of the mean elevation of a watershed
dominated by fluvial incision and hillslope landslides, Geophys. Res. Lett., 32, L11403, https://doi.org/10.1029/2005GL022482,
2005. Steer, P., Croissant, T., Baynes, E., and Lague, D.: Statisti-
cal modelling of co-seismic knickpoint formation and river
response to fault slip, Earth Surf. Dynam., 7, 681–706,
https://doi.org/10.5194/esurf-7-681-2019, 2019. Luke, J. C.: Mathematical models for landform evolution, J. Geo-
phys. Res., 77, 2460–2464, 1972. Tarolli, P. and Dalla Fontana, G.: Hillslope-to-valley transition mor-
phology: New opportunities from high resolution DTMs, Geo-
morphology, 113, 47–56, 2009. Luke, J. C.: Special solutions for nonlinear erosion problems, J. Geophys. Res., 79, 4035–4040, 1974. Luke, J. C.: A note on the use of characteristics in slope evolution
models, Z. Geomorph. Supp., 25, 114–119, 1976. Thieulot, C., Steer, P., and Huismans, R. S.: Three-dimensional nu-
merical simulations of crustal systems undergoing orogeny and
subjected to surface processes, Geochem. Geophy. Geosy., 15,
4936–4957, 2014. Miller,
S. R.,
Slingerland,
R. L.,
and
Kirby,
E.:
Char-
acteristics
of
steady
state
fluvial
topography
above
fault-bend
folds,
J. Geophys. Res.-Earth,
112,
F04004,
https://doi.org/10.1029/2007JF000772, 2007. Tucker, G. E. and Bras, R. L.: Hillslope processes, drainage density,
and landscape morphology, Water Resour. Res., 34, 2751–2764,
1998. Molnar, P. and England, P.: Late Cenozoic uplift of mountain ranges
and global climate change: chicken or egg?, Nature, 346, 29–34,
1990. Tucker, G. E. and Whipple, K. X.: Topographic outcomes
predicted by stream erosion models: Sensitivity analysis
and intermodel comparison, J. Geophys. Res., 107, 2179,
https://doi.org/10.1029/2001JB000162, 2002. O’Callaghan, J. F. and Mark, D. M.: The extraction of drainage net-
works from digital elevation data, Comput. Vis. Graph. Image
Process., 28, 323–344, 1984. Weissel, J. K. and Seidl, M. A.: Inland propagation of erosional
escarpments and river profile evolution across the southeast Aus- Pelletier, J.: Quantitative modeling of earth surface processes, Cam-
bridge University Press, Cambridge, 2008. Earth Surf. P. Steer: Short communication: Analytical models for 2D landscape evolution References Dynam., 9, 1239–1250, 2021 https://doi.org/10.5194/esurf-9-1239-2021 P. Steer: Short communication: Analytical models for 2D landscape evolution 1250 tralian passive continental margin, Geophys. Monogr., 107, 189–
206, 1998. Whipple, K. X.: The influence of climate on the tectonic
evolution
of
mountain
belts,
Nat. Geosci.,
2,
97–104,
https://doi.org/10.1038/ngeo413, 2009. Whipple, K. X. and Tucker, G. E.: Dynamics of the stream-power
river incision model: Implications for height limits of mountain
ranges, landscape response timescales, and research needs, J. Geophys. Res.-Solid, 104, 17661–17674, 1999. Willett, S. D.: Orogeny and orography: The effects of erosion on the
structure of mountain belts, J. Geophys. Res.-Solid, 104, 28957–
28981, 1999. Earth Surf. Dynam., 9, 1239–1250, 2021 https://doi.org/10.5194/esurf-9-1239-2021
|
https://openalex.org/W2564807617
|
https://oatext.com/pdf/CRT-2-158.pdf
|
English
| null |
Randomized observational multicenter study to assess the efficacy and safety of the association of Fortigel (10 Gr) and Fucoidan (100 Mg) in patients with Gonarthrosis
|
Clinical research and trials
| 2,016
|
cc-by
| 4,608
|
Abstract Purpose: In order to further elucidate the efficacy and safety of some nutritional supplements on gonarthrosis, we have conducted a preliminary randomized
multicenter (n=9) observational study comparing the effects of an association of Fortigel® (10 gr) and Fucoidan (100 mg) (ACTEN®) versus another commonly
therapeutically used formulation based on Glucosamine (500 mg), Chondroitin Sulfate (400mg) hyaluronic Acid (50 mg) and Vitamin C (100 mg) (COMBIART). Patients and methods: The protocol was administered over a 12-weeks period in a population (n=126) aged 40-65 years, with diagnosed mild-to-moderate
osteoarthritis (OA) of the knee (grade 2-3 of Kellgren Lawrence grading scale). Safety was measured by closely monitoring adverse events. Efficacy was measured by
grading evaluations, at basal, 1 month and 3 months controls, of the Visual Analog Scale (VAS) and the Lequesne algofunctional index for severity of osteoarthritis
(LAI) for articular functionality. Results: Both groups showed an important reduction (P < 0.0001) in the mean visual analog scale values at T1 (28.5% ACTEN®, 21.3% COMBIART at 1 month)
and T3 (49.4% ACTEN®, 40.1% COMBIART at 3 months), as well as a marked reduction in the Lequesne algofunctional index means (P < 0.0001) (ACTEN®
28.9% T1 44.9% T3, COMBIART T1 21.3% T3 37%). The effect seems to be time dependent, as the mean values decrease further for both parameters from T1 to
T2 (P < 0.0001, for VAS for both groups; P 0.0011 for ACTEN® group, P 0.0064 Control group for LAI). No statistically significant difference was found between
the ACTEN® group and the COMBIART group at time T1 or T3. These interesting preliminary data will be further investigated on a larger scale. Conclusions: Fortigel® (10gr) and Fucoidan (100 mg) (ACTEN®) taken as oral nutritional supplements have a significant impact as therapeutic intervention for
knee osteoarthritis as indicated by the marked decrease in VAS and LAI values over the course of the treatment. A similar effect, as expected, has been confirmed in
the COMBIART group, and no statistically significant difference has been detected between the two groups. Acetaminophen and nonsteroidal anti-inflammatory drugs
(NSAIDs) are common treatments for patients with osteoarthritis to
cope with pain and stiffness, in severe conditions on a daily basis. For
this reason, in recent years many studies have focused on alternative
molecules and nutritional supplements as therapeutic options to
achieve cartilage tissue repair, while bypassing the negative effects of
cyclooxygenase 2 (COX-2) inhibitors and other NSAIDs. Research Article Research Article ISSN: 2059-0377 Randomized observational multicenter study to assess the
efficacy and safety of the association of Fortigel (10 Gr)
and Fucoidan (100 Mg) in patients with Gonarthrosis Martin-Martin LS1*, Pierluigi B2, La Medica C3, Melis G4, Nuvoli G5, Piccinni V6,
1Department of Internal Medicine, Regina Apostolorum Hospital, Albano Laziale, Rome-Italy
2Department of Orthopedics, San Giovanni Calibita-Fatebenefratelli Hospital, Rome-Italy
3Department of Orthopedics, Madre Giuseppina Vannini Hospital, Rome-Italy
4Department of Orthopedics, Marino Hospital, Alghero, Sassari-Italy
5Department of Rheumatology, ASL 1, Sassari, Italy
6Department of Orthopedics, Rome-Italy
7Department of Orthopedics, ASL Rome G, Rome-Italy
8Department of Orthopedics, ASL Rome H, Rome-Italy
9Department of Rheumatology, IRCSS Fondazione Santa Lucia, Rome-Italy 9Department of Rheumatology, IRCSS Fondazione Santa Lucia, Rome-Italy 9Department of Rheumatology, IRCSS Fondazione Santa Lucia, Rome-Italy Abstract Glucosamine
has been extensively studied [2-18] showing positive results in the Received: November 02, 2016; Accepted: November 11, 2016; Published:
November 14, 2016 Clinical Research and Trials Clinical Research and Trials Intervention clinical management of pain and structural improvements [19]. Chondroitin sulfate coupled to Glucosamine, or by itself, has been
the center of significant studies [20], but many other compounds
synthetic or natural have been investigated, including Vitamin C [21-
25]. Particular interest has been paid to Collagen hydrolysates (CHs)
and Fucoidans [26-44]. CH is obtained by the enzymatic hydrolysis
of collagenous tissues from mammals. The main characteristic of CH
is its amino acid composition, which is identical to type II collagen,
thus providing high levels of glycine and proline, essential amino acids
for the stability and regeneration of cartilage [28]. This product is
recognized as a safe food ingredient by regulatory agencies. CH is well
digested and is preferentially accumulated in cartilage [29]. Clinical use
of CH has not been associated with adverse effects, aside some gastro-
intestinal side effects, such as fullness or unpleasant taste. Participants underwent a 4-week washout period during which
they stopped taking all dietary supplements for bones, joints, and
inflammation as well as non-prescription drugs. Prescription drugs that were not related to joint health were
allowed, as was OTC rescue medication that was taken only on an as-
needed basis. Participating individuals were also asked not to change
any aspects of their lives during the 4-week trial. Lifestyle variables
were unaltered, including but not limited to diet, fitness regimens,
work and family-related tasks. Participants who passed the initial screening at the baseline
appointment were provided with one of the two randomly assigned
nutritional supplements (ACTEN® or COMBIART), paper copies
of a visual analog scale (VAS) questionnaire and the Lequesne algo-
functional index (LAI). Each participant was asked to fill out the
baseline VAS and LAI questionnaire and return it to the investigator
before beginning to take the supplements. The supplements were
consumed daily for both groups for the first month. The remaining
eight weeks ACTEN® group used the supplement every other day,
while COMBIART continued on a daily basis. Fucoidans, on the other side, are a class of sulfated, fucose-
rich polymers found in several types of brown macroalgae [41,42]
used in a variety of different medical conditions [38]. Several recent
studies indicate a role of fucoidan in addressing the symptoms of
osteoarthritis. Animal models of collagen induced arthritis showed
that orally administered fucoidans successfully inhibited pain [39]. Introduction Osteoarthritis (OA) is a very common, slowly progressive joint
condition, that causes significant discomfort and disability in the adult
population. The prevalence of the condition increases with age, with
well-known risk factors such as genetics, obesity, local trauma, and
occupation. Important radiographic changes of knee OA are found
in 1% of adults of 25–35 years of age and increase almost to 50% in
elders aged 75 years and older. OA of the hips and knees are the most
common complaint in the adult population. Osteoarthritis has an inflammatory component, and a tissue
breakdown component, which result in pain and stiffness [1] in
these crucial weight-bearing joints. This often imposes an important
disability, leading to an increased difficulty in undertaking normal
activities of daily life, up to requiring joint replacement surgery in the
most severe of cases. Correspondence to: Martin-Martin LS, Department of Internal Medicine,
Regina Apostolorum Hospital, Albano Laziale, Rome-Italy, Tel: 06 93298240;
E-mail: severino.martin@gmail.com Received: November 02, 2016; Accepted: November 11, 2016; Published:
November 14, 2016 Clin Res Trials, 2016 doi: 10.15761/CRT.1000158 Volume 2(6): 253-257 Martin-Martin LS (2016) Randomized observational multicenter study to assess the efficacy and safety of the association of Fortigel (10 Gr) and Fucoidan (100 Mg)
in patients with Gonarthrosis Martin-Martin LS (2016) Randomized observational multicenter study to assess the efficacy and safety of the association of Fortigel (10 Gr) and Fucoidan (100 Mg)
in patients with Gonarthrosis Intervention In a
small human clinical study osteoarthritis symptoms were inhibited by
12 weeks oral administration of fucoidan rich seaweed extracts by 52%
[40]. There was no reduction in TNF alpha as inflammation marker,
but an accompanying study in healthy volunteers showed a decrease
in Interleukin 6, a marker for chronic inflammation [43]. Fucoidan’s
effect on pain has been linked to its selective blockade on neutrophils
accumulation [44,45]. Data were collected again at 1 month and 3 months (12 weeks). This
approach was chosen to reflect the higher absorption of gel (ACTEN®)
compared to capsules (COMBIART) [46]. Outcome measures A VAS scale of 0 to 10 for pain, and the LAI scale of 0 to 24 for pain
and functionality were employed to evaluate the 2 measures before and
after 4 and 12 weeks of supplementation. VAS scores were reported
by asking the participants to mark responses on a 10-cm line. The line
contained both end anchor points and 3 additional descriptors that
were evenly spaced along the VAS scale at 2.5-cm intervals to help
orient the participant. Definitions for the descriptors for each scale are
listed in Table 2. In order to test the clinical efficacy of the combined use of these
compounds, CH (Fortigel® 10gr.) and Fucoidan (100mg) (ACTEN®),
we have designed a preliminary multicenter randomized clinical trial. Testing its clinical efficacy against another formulation used in clinical
practice, based on well-known substances: Glucosamine (500mg),
Chondroitin Sulfate (400mg) hyaluronic Acid (50 mg) and Vitamin C
(100mg) (COMBIART). Material and methods At baseline evaluation, participants were told to notify the research
team immediately if any mild, moderate, or severe adverse events
occurred during the period of supplementation. During the 1 month
follow-up, and again at 3 months participants were once again asked
whether they had experienced any adverse events or required any
form of rescue treatment (pain or anti-inflammatory drugs) during the
supplementation period. No complaints were reported. This trial was designed as a randomized preliminary study. It was
conducted over 12 weeks (84 days) by a single research group in nine
centers (Lazio and Sardinia regions, in Italy) between Oct 2015 and
May 2016 and involved 126 participants aged 40-65 years, with mild-
to-moderate osteoarthritis (OA) of the knee (grade 2-3 of Kellgren
Lawrence grading scale). Individuals were excluded from the study if they 1) were aged
39 years or younger at the start of the study; 2) had rheumatoid
or other forms of arthritis; 3) had joint pain as a result of nerve or
muscle damage, accidents, falls, trauma, etc. (4) had comorbidities
often associated with osteoarthritis, such as diabetes, cardiovascular
disease, elevated cholesterol requiring medical intervention, renal
insufficiencies, asthma, or hypertension requiring medical intervention;
5) had cancer within the prior 5 years; 6) were taking any other herbal
product or other supplement for pain or inflammation of joints
health, such as glucosamine/chondroitin/methylsulfonylmethane,
S-adenosylmethionine, or omega-3; 7) were smokers; 8) were heavy
alcohol consumers; 9) were pregnant or nursing women; 10) had
shellfish allergies; and 11) had a BMI lower than 18.5 (underweight)
or greater than 40.0 (morbidly obese) or a body weight exceeding 225
lbs (102 kg). The demographics of the patient population are listed in
Table 1. Population
Age
Mean 57.10
SD 8.04
Men
48
Women
78
VAS cm
Mean 6.595
SD 1.318
LAI (Lequesne index)
Mean 10.595
SD 3.519
Table 1. The demographics of the patient population. Population
Age
Mean 57.10
SD 8.04
Men
48
Women
78
VAS cm
Mean 6.595
SD 1.318
LAI (Lequesne index)
Mean 10.595
SD 3.519
Table 1. The demographics of the patient population. VAS Value (cm)
Pain Level
0
None
2.5
Mild
5
Moderate
7.5
Severe
10
Worst possible
Table 2. Internal descriptor for the VAS Scale, descriptors for LAI are as previously
published [45]. Table 1. The demographics of the patient population. Table 2. Internal descriptor for the VAS Scale, descriptors for LAI are as previously
published [45]. Results Of the 126 participants enrolled in the study, none withdrew or
were removed due to medical complications or lack of compliance
with the study’s protocol. In comparison with baseline, the results
for all participants at the end of the 4/12 weeks for all measures were
statistically significant. The ACTEN® group showed a 28.5% decrease
in joint pain at 1 month (T1), from a mean VAS score of 6.68 (1.38SD)
at baseline to 4.77 (1.98SD) (P = 0.0001; 95% CI, 1.57, 2.25) and a
-49.4% at T3, mean VAS 3.38 (1.78SD) (P = 0.0001; 95% CI, 2.95, 3.65). LAI was also reduced by -28.9% at T1, from a mean baseline of 11.28
(3.69SD) to 8.01 (P = 0.0001; 95% CI, 2.72, 3.82) and by -44.9% at T3
mean LAI 6.21 (3.01SD) (P = 0.0001; 95% CI, 4.42, 5.71). Baseline
T1
VAS
Leq Ind
Figure 3. ACTEN Group. T1 T3 VAS
Leq Ind
Figure 3. ACTEN Group. Leq Ind Figure 3. ACTEN Group. The COMBIART group showed a 21.3% decrease in joint pain,
from a mean VAS score of 6.5 (1.25SD) at baseline to 5.11 (1.53SD)
at T1 (P = 0.0001; 95% CI, 1.09, 1.69) and a – 40.1% at T3 mean VAS
3.89 (1.81SD) (P = 0.0001; 95% CI, 2.97, 4.33). LAI is again reduced by
-21.3% at T1 from a mean baseline of 9.84 (3.18 SD) to 7.74 (3.08 SD)
(P = 0.0001; 95% CI, 1.63, 2.57) and by -37% at T3, mean LAI 6.19 (3.04
SD) (P = 0.0001; 95% CI, 2.97, 4.33) The ACTEN® group seems to work more efficently than the
COMBIART group (VAS T3 means -49.4%/-40.1%; LAI T3 means
-44.9%/-37%), but no statistically relevant significance has been
detected comparing the two groups [Figure 1-4]. T3 Summary of adverse effects No adverse effects were reported during the study. Material and methods VAS Value (cm)
Pain Level
0
None
2.5
Mild
5
Moderate
7.5
Severe
10
Worst possible Clin Res Trials, 2016 doi: 10.15761/CRT.1000158 Volume 2(6): 253-257 Martin-Martin LS (2016) Randomized observational multicenter study to assess the efficacy and safety of the association of Fortigel (10 Gr) and Fucoidan (100 Mg)
in patients with Gonarthrosis Martin-Martin LS (2016) Randomized observational multicenter study to assess the efficacy and safety of the association of Fortigel (10 Gr) and Fucoidan (100 Mg)
in patients with Gonarthrosis Discussion
Osteoarthritis is the most common form of arthritis in Italy and
in the USA [47]. Glucosamine and chondroitin sulfate and hyaluronic
acid are natural substances present in and around cartilage cells and,
as such are the most commonly used natural supplements for OA and
0
2
4
6
8
10
12
Baseline
T1
T3
Acten
Control group
Figure 2. Lequesme Index Acten vs COMBIART. 0
2
4
6
8
10
12
Baseline
T1
T3
VAS
Leq Ind
Figure 3. ACTEN Group. 0
5
10
15
Baseline
T1
T3
VAS
Leq Ind
Figure 4. COMBIART Group. 0
2
4
6
8
10
12
Baseline
T1
T3
Acten
Control group
Figure 2. Lequesme Index Acten vs COMBIART. The criteria for mild, moderate, and severe adverse events were as
follows: (1) mild: an adverse event that does not interfere with usual
day-to-day activities and requires no special intervention or treatment;
(2) moderate: an adverse event that can affect usual daily activities and
that can be addressed with simple therapeutic treatments; (3) severe: an
adverse event that requires therapeutic intervention. 0
2
4
6
8
Baseline
T1
T3 Statistical analysis Data gathered from the VAS and LAI questionnaires underwent
statistical analysis using a 2-tailed, paired t test to test baseline versus
T1 (1 month) and T2 (3 months) for both treatments. Data were cross-
analyzed using a 2-tailed non-paired t test to compare efficacies. The
analyses were performed with the Graphpad PRISM statistical analysis
software, version 5.0 (La Jolla, CA, USA). The alpha that was used for
statistical significance was 0.05. Acten
Control group Acten
Control group
Figure 2. Lequesme Index Acten vs COMBIART. 0
2
4
6
8
10
12
Baseline
T1
T3 Acten
Control group
Figure 2. Lequesme Index Acten vs COMBIART. 0
2
4
6
8
10
12
Baseline
T1
T3
VAS
Leq Ind
Figure 3. ACTEN Group. 0
5
10
15
Baseline
T1
T3
VAS
Leq Ind
Figure 4. COMBIART Group. Figure 2. Lequesme Index Acten vs COMBIART. Discussion 0
0.51
1.52
2.53
3.54
4.55
5.56
6.57
7.5
Baseline
T1
T3
Acten
Control group
Figure 1. VAS Acten vs Control Group. 0
0.51
1.52
2.53
3.54
4.55
5.56
6.57
7.5
Baseline
T1
T3 Osteoarthritis is the most common form of arthritis in Italy and
in the USA [47]. Glucosamine and chondroitin sulfate and hyaluronic
acid are natural substances present in and around cartilage cells and,
as such, are the most commonly used natural supplements for OA and
joint pain. Previous studies have found them to be effective and safe for
addressing the symptoms of OA [48,49]. In particular, the Glucosamine/
Chondroitin Arthritis Intervention Trial in 2006, sponsored by the
National Institutes of Health (NIH), found that glucosamine combined
with chondroitin sulfate provided statistically significant pain relief for
a subset of participants in comparison with a placebo [20]. T3 In this study we have evaluated the clinical safety and efficacy
of ACTEN® (CH 10gr and Fucose 100 mg) and compared it with
a supplement (COMBIART) based on the well- studied effects:
glucosamine, chondroitin sulfate, hyaluronic acid and the added value
of Vitamin C [21]. As expected the COMBIART group showed a Acten
Control group
Figure 1. VAS Acten vs Control Group. Figure 1. VAS Acten vs Control Group. Clin Res Trials, 2016 doi: 10.15761/CRT.1000158 Volume 2(6): 253-257 Volume 2(6): 253-257 Martin-Martin LS (2016) Randomized observational multicenter study to assess the efficacy and safety of the association of Fortigel (10 Gr) and Fucoidan (100 Mg)
in patients with Gonarthrosis Martin-Martin LS (2016) Randomized observational multicenter study to assess the efficacy and safety of the association of Fortigel (10 Gr) and Fucoidan (100 Mg)
in patients with Gonarthrosis 13. Rovati L (1997) Clinical development of glucosamine sulfate as selective drug in
osteoarthritis. Rheumatol Eur pp: 26:70. marked reduction in pain and functionality indexes. The decrease in
pain and functionality is established in the first 4 weeks of treatment
(-21.3% for both VAS and LAI) and is further increased in the
following weeks, up to a -40.1% in VAS and -37% in LAI at T3 (12
weeks). ACTEN® showed similar results, with a reduction in VAS and
LAI at T1 of 28.5% and 28.9% respectively. Again the highest efficacy
is reached with prolonged exposure, reaching a -49.4% in VAS and
-44.9% in LAI at T3. References 1. Litwic A, Edwards MH, Dennison EM, Cooper C (2013) Epidemiology and burden of
osteoarthritis. Br Med Bull 105: 185-199.[Crossref] 23. Oben J, Enonchong E, Kothari S, Chambliss W, Garrison R, et al. (2009) Phellodendron
and Citrus extracts benefit joint health in osteoarthritis patients: a pilot, double-blind,
placebo-controlled study. Nutr J 8:38. 2. Reginster JY, Bruyere O, Fraikin G, Henrotin Y (2005) Current concepts in the
therapeutic management of osteoarthritis with glucosamine. Bull Hosp Jt Dis 63: 31-
36.[Crossref] 24. Witt CM, Michalsen A, Roll S, Morandi A, Gupta S, et al. (2013) Comparative
effectiveness of a complex Ayurvedic treatment and conventional standard care in
osteoarthritis of the knee. Study protocol for a randomized controlled trial.Trials14:149. 3. Largo R, Alvarez-Soria MA, Diez-Ortego I, Calvo E, Sanchez-Pernaute O, et al. (2006)
Glucosamine inhibits IL-1beta-induced NFkappaB activation in human osteoarthritic
chondrocytes.Osteoarthr Cartil 11: 290-298. 25. Ezaki J, Hashimoto M, Hosokawa Y, Ishimi Y (2013) Assessment of safety and efficacy
of methylsulfonylmethane on bone and knee joints in osteoarthritis animal model. J
Bone Miner Metab 31: 16-25.[Crossref] 4. Alvarez-Soria MA, Largo R, Calvo E, Herrero-Beaumont G (2005) Differential
anticatabolic profile of glucosamine sulfate versus other anti-osteoarthritic drugs on
human osteoarthritic chondrocytes and synovial fibroblasts in culture. Osteoarthr
Cartil13:S153. 26. McAlindon TE, Nuite M, Krishnan N, Ruthazer R, Price LL, et al. (2011) Change
in knee osteoarthritis cartilage detected by delayed gadolinium enhanced magnetic
resonance imaging following treatment with collagen hydrolysate: a pilot randomized
controlled trial. Osteoarthritis Cartilage 19: 399-405.[Crossref] 5. Uitterlinden EJ, Jahr H, Koevoet JL, Jenniskens YM, Bierma-Zeinstra SM, et al. (2006) Glucosamine decreases expression of anabolic and catabolic genes in human
osteoarthritic cartilage explants. Osteoarthr Cartil 14: 250-257. 27. Bannuru RR, Osani M, Vaysbrot EE, McAlindon TE (2016) Comparative safety profile
of hyaluronic acid products for knee osteoarthritis: a systematic review and network
meta-analysis. Osteoarthritis Cartilage S1063-4584. 6. Taniguchi S, Ryu J, Seki M, Sumino T, Tokuhashi Y, et al. (2012) Long-term oral
administration of glucosamine or chondroitin sulfate reduces destruction of cartilage
and up-regulation of MMP-3 mRNA in a model of spontaneous osteoarthritis in Hartley
guinea pigs. J Orthop Res 30: 673-678.[Crossref] 28. Walrand S, Chiotelli E, Noirt F, Mwewa S, Lassel T (2008) Consumption of a
functional fermented milk containing collagen hydrolysate improves the concentration
of collagen-specific amino acids in plasma. J Agric Food Chem 56: 7790-7795. 7. Conclusions 20. Clegg DO, Reda DJ, Harris CL, Klein MA, O’Dell JR, et al. (2006) Glucosamine,
chondroitin sulfate, and the two in combination for painful knee osteoarthritis. N Engl
J Med 354: 795-808.[Crossref] Both nutritional supplements (ACTEN® and COMBIART) are
safe, well tolerated, and able to exert an important pain reduction
and improved functionality in the OA of the knee. Further studies are
required to establish pathways for the shown efficacy in pain reduction
and radiological studies to check on the structural changes behind the
improved functionality of the articulation. 21. Peregoy J, Wilder FV (2011) The effects of vitamin C supplementation on incident and
progressive knee osteoarthritis: a longitudinal study. Public Health Nutr 14: 709-715. [Crossref] 22. Malek Mahdavi A, Mahdavi R, Kolahi S, Zemestani M, Vatankhah AM. L-Carnitine
supplementation improved clinical status without changing oxidative stress and lipid
profile in women with knee osteoarthritis. Nutr Res 35:707-715. Discussion Notably the ACTEN® group in the last 8 weeks
only assumed the nutritional supplement once every other day, without
any loss of efficacy. No statistically relevant difference has been found
between the two groups, but larger numbers or prolonged exposures to
the supplements might uncover subtler differences. 14. Houpt JB, McMillan R, Wein C, Paget-Dellio SD (1999) Effect of glucosamine
hydrochloride in the treatment of pain of osteoarthritis of the knee. J Rheumatol 26:
2423-2430.[Crossref] 15. Rovati L (1993) Clinical efficacy of glucosamine sulfate in osteoarthritis of the spine. Rev Esp Reumatol 20(S1): 325. 16. Müller-Fassbender H, Bach GL, Haase W, Rovati LC, Setnikar I (1994) Glucosamine
sulfate compared to ibuprofen in osteoarthritis of the knee. Osteoarthritis Cartilage 2:
61-69.[Crossref] 17. Qiu GX, Gao SN, Giacovelli G, Rovati L, Setnikar I (1998) Efficacy and safety
of glucosamine sulfate versus ibuprofen in patients with knee osteoarthritis. Arzneimittelforschung 48: 469-474.[Crossref] It has to be taken in consideration that, a daily regimen of ACTEN®,
instead of every other day regimen as used in this trial, it is likely to
produce further benefits, and it should be investigated. 18. Rovati L (1997) The clinical profile of glucosamine sulfate as a selective symptom
modifying drug in osteoarhtritis: current data and perspective. Osteoarthr Cartil
5(SA):72. 19. Reginster JY, Neuprez A, Lecart MP, Sarlet N, Bruyere O (2012) Role of glucosamine
in the treatment for osteoarthritis. Rheumatol Int 32: 2959-2967.[Crossref] References Imagawa K, Andres MC, Hashimoto K, Pitt D, Itoi E, et al. (2011) The epigenetic
effect of glucosamine and a nuclear factor-kappa B (NF-kB) inhibitor on primary
human chondrocytes-implications for osteoarthritis. Biochem Biophys Res Commun
405: 362-367. 29. Bello AE, Oesser S (2006) Collagen hydrolysate for the treatment of osteoarthritis and
other joint disorders: a review of the literature. Curr Med Res Opin 22: 2221-2232. [Crossref] 30. Oesser S, Seifert J (2003) Stimulation of type II collagen biosynthesis and secretion in
bovine chondrocytes cultured with degraded collagen. Cell Tissue Res 311: 393-399. [Crossref] 8. Altman RD, Abramson S, Bruyere O, Clegg D, Herrero-Beaumont G, et al. (2006)
Commentary: osteoarthritis of the knee and glucosamine. Osteoarthr Cartil 14: 963–
966. 31. Schunck M, Schulze CH, Oesser S (2006) Disparate efficacy of collagen hydrolysate
and glucosamine on the extracellular matrix metabolism of articular chondrocytes. OA
and Cartilage 14: S114. 9. Reginster JY, Bruyere O, Neuprez A (2007) Current role of glucosamine in the treatment
of osteoarthritis. Rheumatology (Oxford) 46: 731-735.[Crossref] 10. Reichelt A, Förster KK, Fischer M, Rovati LC, Setnikar I (1994) Efficacy and safety of
intramuscular glucosamine sulfate in osteoarthritis of the knee. A randomised, placebo-
controlled, double-blind study. Arzneimittelforschung 44: 75-80.[Crossref] 32. Oesser S, Proksch E, Schunck M (2008) prophylactic treatment with a special collagen
hydrosylate decreases cartilage tissue degeneration in the knee joints. OA and Cartilage
16: S45. 11. Setnikar I, Palumbo R, Canali S, Zanolo G (1993) Pharmacokinetics of glucosamine in
man. Arzneimittelforschung 43: 1109-1113.[Crossref] 33. Nakatani S, Mano H, Sampei C, Shimizu J, Wada M (2009) Chondroprotective effect
of the bioactive peptide prolyl-hydroxyproline in mouse articular cartilage in vitro and
in vivo. Osteoarthritis Cartilage 17: 1620-1627. 12. Leffler CT, Philippi AF, Leffler SG, Mosure JC, Kim PD (1999) Glucosamine,
chondroitin, and manganese ascorbate for degenerative joint disease of the knee or
low back: a randomized, double-blind, placebo-controlled pilot study. Mil Med 164:
85-91.[Crossref] 34. Clark KL, Sebastianelli W, Flechsenhar KR, Aukermann DF, Meza F, et al. (2008) 24-
Week study on the use of collagen hydrolysate as a dietary supplement in athletes with
activity-related joint pain. Curr Med Res Opin 24: 1485-1496.[Crossref] Clin Res Trials, 2016 doi: 10.15761/CRT.1000158 Volume 2(6): 253-257 Martin-Martin LS (2016) Randomized observational multicenter study to assess the efficacy and safety of the association of Fortigel (10 Gr) and Fucoidan (100 Mg)
in patients with Gonarthrosis 42. References Berteau O, Mulloy B (2003) Sulfated fucans fresh perspectives: Structures, functions,
and biological properties of sulfated fucans and an overview of enzymes active toward
this class of polysaccharide. Glycobiolog13:29–40. 35. Zuckley L, Angelopoulou K, Carpenter MSS, Meredith BA, et al. (2004)Collagen
hydrosylate improves joint function in adults with mild symptoms of osteoarthritis of
the knee. Medicine& Science in Sports & Exercise 36: S153–S154. 36. Moskowitz RW (2000) Role of collagen hydrolysate in bone and joint disease. Semin
Arthritis Rheum 30: 87-99.[Crossref] 43. Myers SP, O’Connor J, Fitton JH, Brooks L, Rolfe M, et al. (2011) A combined Phase
I and II open-label study on the immunomodulatory effects of seaweed extract nutrient
complex. Biologics 5:45–60. 37. Benito-Ruiz P, Camacho-Zambrano MM, Carrillo-Arcentales JN, Mestanza-Peralta
MA, Vallejo-Flores CA, et al. (2009) A randomized controlled trial on the efficacy and
safety of a food ingredient, collagen hydrolysate, for improving joint comfort. Int J
Food Sci Nutr 60: 99-113 44. Cunha TM, Verri WA Jr, Schivo IR, Napimoga MH, Parada CA, et al. (2008) Crucial
role of neutrophils in the development of mechanical inflammatory hypernociception. J
Leukoc Biol 83: 824-832.[Crossref] 45. Lequesne MG (1997) The algofunctional indices for hip and knee osteoarthritis. J
Rheumatol 24: 779-781.[Crossref] 38. Fitton JH (2011) Therapies from fucoidan; multifunctional marine polymers. Mar
Drugs 9: 1731-1760.[Crossref] 39. Park SB, Chun KR, Kim JK, Suk K, Jung YM, et al. (2010) The differential effect of
high and low molecular weight fucoidans on the severity of collagen-induced arthritis
in mice. Phytother Res 24: 1384-1391.[Crossref] 46. Raatz SK, Redmon JB, Wimmergren N, Donadio JV, Bibus DM (2009) Enhanced
absorption of n-3 fatty acids from emulsified compared with encapsulated fish oil. J Am
Diet Assoc 109: 1076-1081.[Crossref] 40. Myers SP, O Connor J, Fitton JH, Brooks L, Rolfe M, Connellan P, et al. (2010) A
combined phase I and II open label study on the effects of a seaweed extract nutrient
complex on osteoarthritis. Biologics 4:33-44. 47. Felson DT, Zhang Y (1998) An update on the epidemiology of knee and hip osteoarthritis
with a view to prevention. Arthritis Rheum 41: 1343-1355.[Crossref] 48. Matheson AJ, Perry CM (2003) Glucosamine: a review of its use in the management of
osteoarthritis. Drugs Aging 20: 1041-1060.[Crossref] 41. Kiple KF, Ornelas KC (2000) Important Vegetable Supplements. In: Beck SV (Ed)
The Cambridge World History of Food. Cambridge University Press, Cambridge, UK
1: 231–249. 49. Clin Res Trials, 2016 doi: 10.15761/CRT.1000158 Copyright: ©2016 Martin-Martin LS. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. References Uebelhart D, Thonar EJ, Delmas PD, Chantraine A, Vignon E (1998) Effects of oral
chondroitin sulfate on the progression of knee osteoarthritis: a pilot study. Osteoarthritis
Cartilage 6 (suppl A): 39-46. Copyright: ©2016 Martin-Martin LS. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Clin Res Trials, 2016 doi: 10.15761/CRT.1000158 Clin Res Trials, 2016 doi: 10.15761/CRT.1000158 Volume 2(6): 253-257
|
https://openalex.org/W4213430415
|
https://tspace.library.utoronto.ca/bitstream/1807/110292/1/ijerph-19-02607.pdf
|
English
| null |
Acute Physiological Response to Different Sprint Training Protocols in Normobaric Hypoxia
|
International journal of environmental research and public health/International journal of environmental research and public health
| 2,022
|
cc-by
| 8,428
|
Citation: Maldonado-Rodriguez, N.;
Bentley, D.J.; Logan-Sprenger, H.M. Acute Physiological Response to
Different Sprint Training Protocols in
Normobaric Hypoxia. Int. J. Environ. Res. Public Health 2022, 19, 2607. https://doi.org/10.3390/
ijerph19052607 Keywords: hypoxia; sprint training; physiological response Academic Editors: Chansol Hurr
and Jordan Patik Academic Editors: Chansol Hurr
and Jordan Patik International Journal of
Environmental Research
and Public Health International Journal of
Environmental Research
and Public Health International Journal of
Environmental Research
and Public Health Article Naomi Maldonado-Rodriguez 1, David J. Bentley 1,2 and Heather M. Logan-Sprenger 1,2,3,* 1
Faculty of Kinesiology & Physical Education, University of Toronto, Toronto, ON M5S 1A4, Canada;
nmrod@mail.ubc.ca (N.M.-R.); bentley.dj@gmail.com (D.J.B.) (
)
y j g
(
J
)
2
Canadian Sport Institute of Ontario, Toronto, ON M1C 0C7, Canada y j g
2
Canadian Sport Institute of Ontario, Toronto, ON M1C 0C7, Canada 3
Faculty of Health Sciences, Ontario Tech University, Oshawa, ON L1H 7K4, Canada
*
Correspondence: heather.sprenger@ontariotechu.ca 3
Faculty of Health Sciences, Ontario Tech University, Oshawa, ON L1H 7K4, Canada
*
Correspondence: heather.sprenger@ontariotechu.ca Abstract: Background: the purpose of this study was to examine acute physiological responses to and
the performance effects of two sprint training protocols in normobaric hypoxic conditions. Methods:
Healthy competitive female (n = 2) and male (n = 5) kayakers (19 ± 2.1 years) performed four sprint
training sessions on a kayak ergometer over a period of two weeks. Participants performed five
sets of 12 × 5 s sprints or 3 × 20 s sprints in both normobaric normoxic (NOR, FiO2 = 20.9%) or
normobaric hypoxic (HYP, FiO2 = 13.6%) conditions. The peak power output (PPO), rate of perceived
exertion (RPE), and heart rate (HR) of each participant were monitored continuously. Their blood
lactate concentrations ([BLa+]), in addition to their blood gas (mixed-venous partial pressure (p)
of carbon dioxide (pCO2), O2 (pO2), and oxygen saturations (sO2)) were collected before and after
exercise. Results: A significantly greater RPE, HR, and [BLa+] response and a significant decrease
in pCO2, pO2, and sO2 were observed in HYP conditions versus NOR ones, independent of the
type of training session. The PPO of participants did not differ between sessions. Their RPE in
HYP12 × 5 was greater compared to all other sessions. Conclusions: The HYP conditions elicited
significantly greater physiological strain compared to NOR conditions and this was similar in both
training sessions. Our results suggest that either sprint training protocol in HYP conditions may
induce more positive training adaptations compared to sprint training in NOR conditions. Int. J. Environ. Res. Public Health 2022, 19, 2607. https://doi.org/10.3390/ijerph19052607 1. Introduction Traditional “altitude training”, where athletes live and train at real or simulated al-
titudes of 1800–2400 m, has focused on enhancing sea level endurance performance by
improving red cell mass [1]. Live high train low (LHTL) models are commonly used
in preseason training to enhance aerobic and potentially anaerobic performance [2,3]. LHTL training approaches require athletes to adhere to prolonged and consistent expo-
sure (≥3 weeks) to hypoxia, while training at sea level, in order to stimulate an increase
in red blood cell (RBC) mass whilst reducing the potentially detrimental effects of con-
tinuous altitude exposure on detraining [4]. However, such training is neither time- nor
cost-effective [5]. While the positive effects on aerobic capacity are well-documented, the
reported effects on anaerobic performance have been equivocal. Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
published maps and institutional affil-
iations. Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
published maps and institutional affil-
iations. Traditional LHTL protocols, designed to induce improvements in aerobic capacity,
typically do not result in meaningful anaerobic improvements, most likely as a result of
training design that does not sufficiently stress the anaerobic system [6,7]. Recently, inter-
mittent hypoxia training (IHT), “a method where athletes live at or near sea level but train
under hypoxic conditions”, has been explored as a potential alternative to traditional train-
ing at altitude to stimulate adaptations that may affect anaerobic performance [7]. Studies
have shown that sport-specific IHT may lead to speed/power performance improvements Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article
distributed
under
the
terms
and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/). Int. J. Environ. Res. Public Health 2022, 19, 2607. https://doi.org/10.3390/ijerph19052607 https://www.mdpi.com/journal/ijerph Int. J. Environ. Res. Public Health 2022, 19, 2607 2 of 11 2 of 11 or repeated sprint ability via increased resting pH, enhanced buffering capacity, and im-
proved blood perfusion [7–15]. However, despite many potential physiological adaptations,
IHT has failed to show consistent performance improvements, such as in relation to power
output or performance in 10 s or 30 s all out tests [13,16,17]. One important consideration is
that training must be performed at a maximal intensity in order to augment anaerobic per-
formance [5,7,15]. One way of adapting IHT for anaerobic performance-specific adaptations
may be sprint training in hypoxia [7]. 1. Introduction The parameters of training design (e.g., modality,
work-to-rest ratio, repetition duration) should be such that they result in incomplete re-
covery, so that they induce glycolytic adaptations. One such parameter, sprint duration,
largely influences the relative contribution of aerobic and anaerobic energy systems. A
duration of 30 s is conventionally used in sprint training, with the first 5–10 s representing
the period during which peak power is achieved, with the latter 20–25 s constituting an
effort to maintain this output [18]. Hazell and colleagues (2010), when comparing 10 s and
30 s sprint protocols, suggested that the initial generation of peak power output (PPO) was
likely responsible for sprint interval training adaptations [19]. Sprint training is primarily
dependent on the ability to match ATP resynthesis rate to utilization rate and altered
intracellular and extracellular ion concentrations [12]. The added stimulus of hypoxia is
likely to increase metabolic stress and, thus, hypothetically induce greater physiological
adaptations and performance improvements. The sport of flat water canoeing and kayaking encompasses events ranging between a
‘sprint’ (200 m) of <30 s to events that are 1–2 min in duration (1000 m). It has been shown
that there is a large aerobic component to these events, especially 1000 m events [20]. In
contrast, in the sprint event, there is a heavy anaerobic component, with athletes requiring
considerable upper body anaerobic capacity. Competitive canoe and kayak athletes under-
take sprint training and other forms of anaerobic conditioning in their preparation [20]. The acute response to different durations of anaerobic work intervals, with respect
to work volume and work-to-rest ratio, performed in hypoxia, has not been previously
investigated, and this is especially true in the context of kayak athletes, for whom anaerobic
training is an important sport-specific consideration. The purpose of this study was
to examine acute physiological responses to two sprint training protocols (sets of 5 s
versus 30 s) in normobaric hypoxic conditions. We hypothesized that, (1) the hypoxic
condition would induce greater physiological strain compared to normoxic conditions, and
(2) longer duration sprints would result in a greater physiological response in terms of
blood parameters. 2. Materials and Methods Seven healthy well-trained male or female kayakers (female: n = 2; male: n = 6) aged
15–24 (mean ± SD: 19 ± 2.1 years) were recruited from local canoe–kayak clubs (training
18 ± 2 h per week). All kayakers competed at a national and international level as part of
their respective provincial or national federations in flatwater kayaking. Participants were
sea level natives with no exposure to hypoxia training. All participants were actively train-
ing athletes in their off-season. Prior to the initial training sessions, a risk assessment was
completed to identify any potential confounding respiratory, neurological, musculoskeletal,
or circulatory conditions that may have been deemed a risk to sprint training or training in
hypoxia. Parents (assent was required) and participants were informed both verbally and
in writing of the experimental protocol and potential risks before giving their verbal and
written assent and consent, respectively, to participate. The Research Ethics Board at the
Canadian Sport Institute Ontario approved the study (REB#18-01). 2.3. Blood Sampling Blood samples (5 uL) were collected from participants’ fingertips and analyzed for
blood lactate concentration [BLa+] using a portable hand-held blood lactate analyzer
(Lactate PRO, USA) pre-exercise (5 min prior to start), after set 3, and post-exercise (5 min
post). Blood bicarbonate (HCO3−), pH, mixed-venous partial pressure of carbon dioxide
(pCO2), oxygen (pO2), and oxygen saturation (sO2) were measured via capillary analysis
using a blood gas analyzer (ABL80, Radiometer, Mississauga, ON, Canada). Various
metabolites, including sodium (Na+), potassium (K+), calcium (Ca2+), and chloride (Cl−),
were also assessed using a 125 uL plastic capillary tube with 70iu balanced heparin pre- and
post-exercise and measured using a blood gas analyzer (ABL80, Radiometer, Mississauga,
ON, Canada). All resting blood samples were taken in normoxia while the post-exercise
blood draw was collected in either HYP or NOR conditions depending on the exercise
session. 2.2. Training Protocol Participants performed five sets of 12 × 5 s sprints (protocol 1) or 3 × 20 s sprints
(protocol 2) in both normobaric normoxia (NOR, 0 m altitude, FiO2 = 20.9%) and normobaric
hypoxia (HYP, 3500 m altitude, FiO2 = 13.6%) (see Supplementary Materials). The warm-up
consisted of 5-min of light intensity paddling at a self-selected pace, followed by 4 × 10 s
preparatory ‘submaximal efforts’ with 20 s of light intensity work between each bout and
2 min of passive rest before the start of the sprint session (11 min total). Protocol 1 consisted
of five sets of 12 × 5 s sprints with 15 s of active recovery between each repetition and 2 min
of passive rest between sets. Protocol 2 consisted of five sets of 3 × 20 s sprints with 60 s
active recovery between repetition and 2 min of passive rest between sets. Both protocols
were matched for total work volume and work-to-rest ratio (1:3) based on recommendations
set forth by Brocherie and colleagues (2017) [8]. The focus of the training was to maximize
hypoxia exposure in order to improve anaerobic capacity by way of short high-intensity
exercise, replicating the demands of kayaking. Athletes were asked to perform maximally
for each sprint. p
Training was completed in a normobaric hypoxic chamber that was purpose-built
for intermittent hypoxia training (K2 Room, Storex Ca Inc., Montreal, QC, Canada). The
chamber is a 5 × 5 m room with an airlock and a glass wall for viewing access. The
temperature and humidity were set at approximately 20 ◦C and 20%, respectively, for
consistency. Participants were monitored continuously using heart rate (HR) and rate of
perceived exertion (RPE) [21]. Their peak HR was captured after every sprint using a
Polar Strap (Polar H10, Polar Electro, Nassau, NY, USA) and recorded using the FIT IV
Pulse application on an iPad (iPad version 3, Apple, Cupertino, CA, USA). Their RPE was
recorded after every set on a scale of 6 to 20. Capillary blood samples for [BLa+], blood gas,
and metabolite analysis were collected throughout. [BLa+] was collected pre-exercise, after
set 3, and post-exercise. Blood gas and metabolites were collected immediately pre- and
post-exercise. 2.1. Experimental Procedure Athletes completed four sprint training sessions on a kayak ergometer (K1 Speed
Stroke Ergometer, KayakPro, Miami Beach, FL, USA) over a period of 2 weeks, with a
minimum of 48 h between each session. Each session occurred in an environmentally
controlled chamber (K2 Room, Storex Ca Inc., Montreal, QC, Canada). In a single-blind Int. J. Environ. Res. Public Health 2022, 19, 2607 3 of 11 3 of 11 fashion, each session was performed in the altitude chamber to ensure participants were
blind to the environmental condition. The order of the training sessions was randomized
to control for potential physiological adaptations that may have occurred throughout the
duration of the testing. Previous studies have demonstrated that participants are not able
to distinguish between hypoxia and normoxia during intermittent sprint training [7]. The
trials were conducted at the same of time of the day. Any supplementary normoxic training
that occurred outside the study was recorded (modality, duration, and intensity). 3. Results The mean ± SD values are outlined in Table 1. The PPO of participants did not differ
between training protocols (Table 1). All participants trained at a very high intensity, with
mean session RPEs ranging from 15 to 17 (Table 1). A significant interaction was found
between the environmental condition and training protocol with respect to RPE (p = 0.011,
η2 = 0.76). Post-hoc analyses revealed that participants reported a significantly greater RPE
after the HYP12 × 5 protocol, compared to the NOR12 × 5 protocol (p = 0.003). In addition,
we found a significant interaction in terms of peak HR between training protocols (12 × 5 vs. 3 × 20) and environmental conditions (normoxia vs. hypoxia) (Table 1, p = 0.014, η2 = 0.73). Peak HR in both HYP12 × 5 and HYP3 × 20 was greater than its normoxia counterpart,
with p = 0.029 and p = 0.025 respectively. Peak HR in NOR3 × 20 was significantly greater
than in NOR12 × 5 (p = 0.003). There were no differences in terms of hypoxia between
training protocols. g p
Post-exercise [BLa+] values were elevated in all training protocols, compared to pre-
exercise resting values (refer to Table 1). Mean [BLa+] values were above the lactate
threshold, which is generally defined as between 4 mmol/L [20]. Post-exercise [BLa+]
levels were significantly greater in hypoxia, compared to normoxia (p = 0.029, η2 = 0.65),
regardless of the training session (12 × 5 or 3 × 20) (Table 1). Additionally, post-exercise
[BLa+] levels were significantly greater following the 3 × 20 protocol, compared to the
12 × 5 protocol, regardless of the environmental condition (p = 0.016, η2 = 0.72). p
g
p
No significant differences were observed in pH between conditions or sprint ses-
sions (p > 0.05). However, we did note an interaction that trended towards significance
(p = 0.085). For both the 3 × 20 sprint sessions (HYP and NOR), pH fell below 7.35, sug-
gesting that the 3 × 20 sprint session elicited metabolic acidosis in both HYP and NOR
environmental conditions. Post-exercise pCO2 was significantly greater than pre-exercise
values in the hypoxia conditions only (p = 0.05, η2 = 0.57), independent of the training
session (Figure 1A,B). On the other hand, post-exercise pO2 was significantly reduced in
the hypoxia session (p = 0.001, η2 = 0.91), irrespective of the training session (Figure 1C,D). 2.5. Statistical Analysis Data are mean ± standard deviation (SD), unless otherwise stated. Changes in the
mean and standard deviation of the variables representing between- and within-subject
variability were assessed using a two-way repeated-measures ANOVA in SPSS (Version 24,
IBM Corp., Armonk, NY, USA). RPE and peak HR were averaged to a session mean for
all four trials. The difference between pre- and post-exercise values for [BLa+], blood gas,
and metabolites was calculated to obtain a mean change over time, thus removing the
third factor of time. Only mean values in PPO were compared using a three-way ANOVA
with repeated measures model. Post-hoc analyses were conducted where applicable and
adjusted for multiple comparisons using Bonferroni correction. Both HR and sO2 were not
normally distributed; as both did not respond to transformation, data analysis was run
with and without outliers (one in each). As they did not change, results from analysis with
outliers are reported. To supplement important findings, effect sizes (η2) were calculated as
the ratio of the mean difference to the pooled SD of the difference. The magnitude of the
effect size was classed as trivial (<0.2), small (0.2–0.6), moderate (0.6–1.2), large (1.2–2.0),
and very large (>2.0) based on previous published guidelines [22]. Moreover, exact p values
and Cohen d are presented to show the magnitude of effect. 2.4. Performance Measures The participant’s peak power output (PPO) for each sprint was recorded using the
kayak ergometer’s integrated monitor. The PPO was then averaged per set and per session
and normalized to body mass (W/kg). 4 of 11 Int. J. Environ. Res. Public Health 2022, 19, 2607 3. Results There was no interaction between training protocol and environmental condition in either
blood gases. Additionally, sO2 was significantly lower in hypoxia than in normoxia, in-
dependent of the training protocol (p = 0.001, η2 = 0.9, Figure 1E,F). The training protocol
(12 × 5 or 3 × 20) had no statistical effect on pCO2 or pO2 response. Lastly, we found no
significant changes in the blood metabolites measured (Na+, K+, Ca2+, Cl−, HCO3−). While
it did not reach significance, HCO3−showed a trending decrease (p = 0.067, η2 = 0.52) in
the NOR3 × 20 and both hypoxia sessions. Int. J. Environ. Res. Public Health 2022, 19, 2607 5 of 11 Table 1. Mean performance and physiological measures pre- and post-training. 12 × 5 Protocol
3 × 20 Protocol
NOR
HYP
NOR
HYP
PPO (W/kg)
3.87 ± 1.04
3.84 ± 0.89
3.56 ± 0.32
4.14 ± 1.4
RPE
15 ± 1.21
17 ± 0.89 *
16 ± 0.73
16 ± 1.35
Peak HR (bpm)
159 ± 11 ˆ
167 ± 10 *
164 ± 8
170 ± 11 *
[BLa+] (mmol/L)
Pre
1.18 ± 0.2
1.9 ± 0.57
1.64 ± 0.6
1.44 ± 0.48
Post
4.23 ± 1.74
8.52 ± 2.5 *
9.02 ± 3.8 ˆ
10.28 ± 3.0 *
Blood Gas/Metabolites
pH
Pre
7.41 ± 0.042
7.41 ± 0.013
7.43 ± 0.031
7.42 ± 0.035
Post
7.39 ± 0.051
7.36 ± 0.037
7.31 ± 0.010
7.34 ± 0.072
pCO2 (mmHg)
Pre
36.33 ± 2.66
37.00 ± 2.92
37.00 ± 3.10
38.33 ± 4.32
Post
33.67 ± 3.33
25.8 ± 4.44 *
29.00 ± 3.39
29.33 ± 2.34 *
pO2 (mmHg)
Pre
76.33 ± 14.26
75.4 ± 9.26
65.8 ± 5.17
69.17 ± 9.79
Post
80.33 ± 16.75
57.8 ± 5.45 *
90.80 ± 11.26
57.17 ± 14.74 *
HCO3−(mEq/L)
Pre
22.6 ± 2.90
23.20 ± 1.63
24.38 ± 1.95
24.25 ± 1.71
Post
19.98 ± 2.69
14.18 ± 2.30
14.6 ± 4.81
15.7 ± 3.14
sO2 (%)
Pre
95.8 ± 3.6
94.25 ± 5.75
95.28 ± 1.9
95.28 ± 2.84
Post
96.07 ± 3.7
89.2 ± 2.52 *
97.43 ± 1.0
87.97 ± 5.6 *
Data are mean ± SD. 3. Results NOR, normobaric normoxia (20.9% O2); HYP, normobaric hypoxia (13.6% O2); PPO, peak
power output; W/kg, watts per kilogram body mass; HR, heart rate; bpm, beats per minute; [BLa+], blood lactate
concentration; pCO2, partial pressure of carbon dioxide; pO2, partial pressure of oxygen; HCO3−, bicarbonate;
sO2, saturation of oxygen. * Significant difference between the normoxic and hypoxic response within the training
protocol (p < 0.05); ˆ Significant difference between training protocols (p < 0.05). 2, 19, × FOR PEER REVIEW
6 Table 1. Mean performance and physiological measures pre- and post-training. Data are mean ± SD. NOR, normobaric normoxia (20.9% O2); HYP, normobaric hypoxia (13.6% O2); PPO, peak
power output; W/kg, watts per kilogram body mass; HR, heart rate; bpm, beats per minute; [BLa+], blood lactate
concentration; pCO2, partial pressure of carbon dioxide; pO2, partial pressure of oxygen; HCO3−, bicarbonate;
sO2, saturation of oxygen. * Significant difference between the normoxic and hypoxic response within the training
protocol (p < 0.05); ˆ Significant difference between training protocols (p < 0.05). 19, × FOR PEER REVIEW Data are mean ± SD. NOR, normobaric normoxia (20.9% O2); HYP, normobaric hypoxia (13.6% O2); PPO, peak
power output; W/kg, watts per kilogram body mass; HR, heart rate; bpm, beats per minute; [BLa+], blood lactate
concentration; pCO2, partial pressure of carbon dioxide; pO2, partial pressure of oxygen; HCO3−, bicarbonate;
sO2, saturation of oxygen. * Significant difference between the normoxic and hypoxic response within the training
protocol (p < 0.05); ˆ Significant difference between training protocols (p < 0.05). 19, × FOR PEER REVIEW
6 Figure 1. Cont. Figure 1. Cont. Figure 1. Cont. 6 of 11 Int. J. Environ. Res. Public Health 2022, 19, 2607 Figure 1. Mean pre- and post-exercise blood gas measurements for the two sprint training pro
(12 × 5 versus 3 × 20). (A) partial pressure of carbon dioxide (pCO2) in the 12 × 5 protocol; (B)
pressure of carbon dioxide (pCO2) in the 3 × 20 protocol; (C) partial pressure of oxygen (pO2)
12 × 5 protocol; (D) partial pressure of oxygen (pO2) in the 3 × 20 protocol; (E) blood oxygen s
tion (sO2) in the 12 × 5 protocol; (F) blood oxygen saturation (sO2) in the 3 × 20 protocol. Da
mean ± SD. *Significant difference versus normoxia, independent of training protocol (p < 0.0
Figure 1. 3. Results Mean pre- and post-exercise blood gas measurements for the two sprint training protocols
(12 × 5 versus 3 × 20). (A) partial pressure of carbon dioxide (pCO2) in the 12 × 5 protocol; (B) partial
pressure of carbon dioxide (pCO2) in the 3 × 20 protocol; (C) partial pressure of oxygen (pO2) in
the 12 × 5 protocol; (D) partial pressure of oxygen (pO2) in the 3 × 20 protocol; (E) blood oxygen
saturation (sO2) in the 12 × 5 protocol; (F) blood oxygen saturation (sO2) in the 3 × 20 protocol. Data
are mean ± SD. * Significant difference versus normoxia, independent of training protocol (p < 0.05). igure 1. Mean pre- and post-exercise blood gas measurements for the two sprint training pro
Figure 1. Mean pre- and post-exercise blood gas measurements for the two sprint training protocols Figure 1. Mean pre- and post-exercise blood gas measurements for the two sprint training pr
(12 × 5 versus 3 × 20). (A) partial pressure of carbon dioxide (pCO2) in the 12 × 5 protocol; (B)
pressure of carbon dioxide (pCO2) in the 3 × 20 protocol; (C) partial pressure of oxygen (pO2
12 × 5 protocol; (D) partial pressure of oxygen (pO2) in the 3 × 20 protocol; (E) blood oxygen
tion (sO2) in the 12 × 5 protocol; (F) blood oxygen saturation (sO2) in the 3 × 20 protocol. D
mean ± SD. *Significant difference versus normoxia, independent of training protocol (p < 0.0
Figure 1. Mean pre- and post-exercise blood gas measurements for the two sprint training protocols
(12 × 5 versus 3 × 20). (A) partial pressure of carbon dioxide (pCO2) in the 12 × 5 protocol; (B) partial
pressure of carbon dioxide (pCO2) in the 3 × 20 protocol; (C) partial pressure of oxygen (pO2) in
the 12 × 5 protocol; (D) partial pressure of oxygen (pO2) in the 3 × 20 protocol; (E) blood oxygen
saturation (sO2) in the 12 × 5 protocol; (F) blood oxygen saturation (sO2) in the 3 × 20 protocol. Data
are mean ± SD. * Significant difference versus normoxia, independent of training protocol (p < 0.05). 4. Discussion
4. Discussion The results of this study demonstrate that regardless of the sprint training stim
(12 × 5 vs. 3 × 20), a controlled normobaric hypoxic environment of 13.6% O2 elicite
nificantly greater acute responses in terms of RPE, HR, BLa concentration, and pCO2
significantly lower post-exercise pO2 and sO2, along with a trend of lower blood pH
HCO3−, compared to a sprint training session in normobaric normoxic conditions. comparing the sprint training session stimulus (12 × 5 vs. 3 × 20), the results show th
RPE of the participants was higher in the 12 × 5 sprint workout; however, their H
BLa+ concentrations were significantly greater in the 3 × 20 sprint workout, with no d
ence between the sprint training stimulus in terms of blood gases, pH, or blood m
The results of this study demonstrate that regardless of the sprint training stimulus
(12 × 5 vs. 3 × 20), a controlled normobaric hypoxic environment of 13.6% O2 elicited
significantly greater acute responses in terms of RPE, HR, BLa concentration, and pCO2,
with significantly lower post-exercise pO2 and sO2, along with a trend of lower blood pH
and HCO3−, compared to a sprint training session in normobaric normoxic conditions. When comparing the sprint training session stimulus (12 × 5 vs. 3 × 20), the results show
that the RPE of the participants was higher in the 12 × 5 sprint workout; however, their
HR and BLa+ concentrations were significantly greater in the 3 × 20 sprint workout, with
no difference between the sprint training stimulus in terms of blood gases, pH, or blood
metabolites. lites.
4.1. Peak Power Output during Sprint Training in Hypoxia and Normoxia Athletes were able to maintain their PPO, independent of the training session. This
is congruent with the literature, which suggests that PPO is generated during the first
5–10 s of exertion [19,23]. Thus, athletes would have had time to reach their maximal
power output even during the short-duration sprint protocol. An athlete’s ability to
generate power throughout a session is an important consideration when it comes to
potential adaptations to the anaerobic system. It is well-documented that athletes must
train at maximal intensities in order to induce improvement in anaerobic capacity, likely
due to enhanced glycolytic activity in muscles via increased mRNA expression related
to pH regulation, upregulation of anaerobic metabolism, increased buffering capacity,
modified fast twitch (FT) fiber behavior, and increased end-product metabolite removal
mechanisms [5,7,8,13–15,24,25]. In contrast, a reduction in PPO may have indicated that the
training stimulus was too high. This has historically been an issue in this field of research,
where prolonged exposure to hypoxia leads to a reduction in training quality and intensity,
which may explain the lack of performance improvements previously noted, despite
physiological adaptations [26–28]. It is thus paramount that athletes work maximally. Our
results demonstrate that the sprint prescription (12 × 5 or 3 × 20) did not impair repeated
maximal power output over a single session. The question becomes whether the repeated
maximal power output can be sustained over multiple sessions to elicit positive training
adaptations. 7 of 11 7 of 11 Int. J. Environ. Res. Public Health 2022, 19, 2607 4.2. Physiological Responses to Sprint Training in Hypoxia and Normoxia 4.2. Physiological Responses to Sprint Training in Hypoxia and Normoxia Peak HR was greater in hypoxia than normoxia, independent of the training session. As expected, the reduction in the fraction of inspired oxygen (FiO2 = 13.6%) resulted in
greater cardiovascular strain, which translated into an increase in HR. Moreover, peak HR
in NOR3 × 20 was greater than in NOR12 × 5. Additionally, athletes rated the intensity
of the exercise as very high. Only HYP12 × 5 resulted in a greater RPE compared to its
normoxia counterpart, but this was not reflected in any PPO differences. Interestingly, no
differences were noted between NOR3 × 20 and HYP3 × 20. Studies have reported that
shorter sprint durations see a greater relative contribution from the anaerobic system [29]. lites.
4.1. Peak Power Output during Sprint Training in Hypoxia and Normoxia Thus, a 5 s sprint would be a greater stressor on the anaerobic system compared to a
20 s sprint. This trend is also seen in [BLa+], which was greater in HYP12 × 5 than in
NOR12 × 5. Post-exercise [BLa+] values were greater than pre-exercise values, regardless
of the training session. These results are not surprising, as the athletes were instructed to
sprint maximally. A high lactate accumulation is consistent with the literature, which has
shown that high intensity short duration exercise, such as sprint training, leads to [BLa+]
accumulation above the lactate threshold (typically defined as 4 mmol/L). Elevated lactate
levels at the cessation of exercise is indicative of anaerobic metabolism [30]. Additionally,
[BLa+] was higher in HYP12 × 5 compared to NOR12 × 5, but no differences were noted
between NOR3 × 20 and HYP3 × 20. This appears to be the only physiological response
that supports our RPE findings. Much of our data suggests that the acute physiological
response to HYP12 × 5 and HYP3 × 20 was similar. It is possible that the increase in
[BLa+] resulted in greater muscular discomfort and, consequently, an increase in RPE and
[BLa+] [31,32]. 4.3. Blood Gas Responses to Sprint Training in Hypoxia and Normoxia Public Health 2022, 19, 2607 8 of 11 sprint training in hypoxia resulted in greater physiological strain compared to normoxia,
with no differences seen between the training protocols. sprint training in hypoxia resulted in greater physiological strain compared to normoxia,
with no differences seen between the training protocols. 4.4. Perceptual Response to Sprint Training in Hypoxia and Normoxia It is well-documented that many anaerobic performance improvements, such as speed
or power development, are mediated via adaptations in the neuromuscular system by
way of motor unit recruitment, activation, and firing [37–40]. Studies show that maximal
effort sprints require high levels of motor unit activation [40,41]. In this study, participants
perceived the HYP12 × 5 session to be harder than the three other sessions, despite them
resulting in a similar PPO. One potential reason for this may be that the greater repetition
of sprints in this session produced a greater stressor on the neuromuscular system due
to rapid acceleration and deceleration. There is evidence that neural fatigue may be
caused by a decrease in reflex sensitivity, which has been associated with force production
and propulsion [18,42]. Bowtell and colleagues (2014) noted significantly reduced iEMG
activity and running speed following sprint training in hypoxia [14]. These changes in
neuromuscular activity may reflect fatigue development, possibly due to reduced central
neural drive or impaired neuromuscular transmission [14,43]. Moreover, metabolic changes
in the muscle, such as the [BLa+] accumulation and the decrease in pH seen in this study,
may have accelerated the onset of muscle fatigue [40]. It is worth noting that in severely
hypoxic conditions, neural fatigue may be a limiting factor and prevent athletes from
training at the maximal intensities needed to obtain performance increments [3,44]. As
such, the interaction between training protocol and altitude should be carefully considered
when designing a program to achieve a stimulus great enough to induce adaptations but
that does not impair performance. 4.5. Limitations This study included a relatively small sample size, which may partly explain why
certain effects were observed and others were not. Additionally, the results may have been
affected by the range of competition levels tested. Participants ranged from national level
to internationally ranked athletes. However, research shows that elite and sub-elite athletes
often have different strengths and anaerobic power profiles [45,46]. Therefore, testing a
sample of athletes of mixed competition levels may have confounded the results, especially
given the small sample size. Moreover, although an effort was made to standardize the
encouragement given, it is possible that the encouragement provided varied between
athletes and may have affected the PPO results [47]. We also did not control the athlete’s
training outside of the four sessions. We asked athletes to record the modality, intensity, and
duration of their training and maintain their training schedules consistently throughout
the study. However, adherence to instructions is not always high and it is possible that
supplementary training affected the athlete’s ability to perform maximally. 4.3. Blood Gas Responses to Sprint Training in Hypoxia and Normoxia A significant decrease in pCO2 and pO2 was observed in the hypoxic conditions. However, this response did not differ between the training protocols. A decrease in pCO2
is in accordance with a left shift of the oxyhemoglobin curve, which is typically observed
following acute exposure to hypoxia [33]. The increase in ventilation, and, resulting respi-
ratory alkalosis, are the body’s attempt to increase O2 saturation in an environment with
reduced oxygen availability. This reduction in pCO2 may also reflect increased buffering
activity, whereby, in an attempt to maintain a stable pH, the body will employ various
mechanisms to buffer and maintain its acid-base balance. However, given the fact that
HCO3−did not decrease significantly, ventilation may have played a greater role in the
pCO2 response. Nonetheless, it is more likely that both contributed to this response. On the
other hand, a decrease in mixed-venous pO2 is a typical response to high-intensity exercise,
as oxygen consumption increases at the tissue level. The magnitude of this response is
likely a reflection of hypoxic conditions. It is also important to note that in normoxia,
the mean post-exercise O2 values increased (non-significantly) compared to pre-exercise. Elevated pO2 levels following exercise are indicative of hyperventilation and are congruent
with our pCO2 results [25]. The reason why pO2 decreased in hypoxia is unclear and may
be related to the magnitude of the hypoxic stimulus delivered [34]. Similarly, sO2 signifi-
cantly decreased in hypoxia compared to normoxia, independent of the training session. This supports the literature, which has established that sO2 decreases acutely in hypoxia,
reflecting the lower FiO2 and the increase in oxygen extraction during exercise [14,25]. g
yg
g
While pH did not reach statistical significance, the mean post-exercise values suggest
that metabolic acidosis (pH < 7.35) was present or very close in three of the training
protocols (HYP12 × 5, NOR3 × 20, and HYP3 × 20) but not in NOR12 × 5 (pH = 7.39) [35]. This is possibly a result of the body’s inability to eliminate or buffer waste metabolites or
[BLa+], thereby leading to the accumulation of the measured metabolites and a decrease in
pH [36]. Given the fact that one important adaptation induced from training in hypoxia is an
increase in resting pH, it is possible that this acute response may indicate that this protocol
provided an adequate stressor to stimulate changes. These results clearly demonstrate that Int. J. Environ. Res. 4.6. Future Directions and Practical Application Ultimately, our results suggest that sprint training in hypoxia elicits a greater physio-
logical response compared to training in normoxic conditions, irrespective of the training
protocol. However, athletes found HYP12 × 5 more difficult, despite recording similar phys-
iological responses to other sessions. Understanding the reasons why athletes’ perceived
rate of exertion was higher in this training protocol, while eliciting a similar physiological
response, has important implications for training prescription. Special care should be taken
when selecting a protocol that is applicable to the sport in question (i.e., which considers
the demands of the sport) and one that considers the contribution of metabolic systems. Lastly, given the cross-sectional design of this study, we are only able to comment on acute
physiological responses. Future research should explore the physiological response and
adaptation to different training protocols in hypoxia using a longitudinal study design. 9 of 11 Int. J. Environ. Res. Public Health 2022, 19, 2607 5. Conclusions Conflicts of Interest: The authors declare no conflict of interest. References 1. Böning, D. Altitude and Hypoxia Training—A Short Review. Int. J. Sports Med. 1997, 18, 565–570. [CrossRef] [PubMed]
2. Wehrlin, J.P.; Zuest, P.; Hallén, J.; Marti, B. Live high-train low for 24 days increases hemoglobin mass and red cell volume in elite
endurance athletes. J. Appl. Physiol. 2006, 100, 1938–1945. [CrossRef] [PubMed] 2. Wehrlin, J.P.; Zuest, P.; Hallén, J.; Marti, B. Live high-train low for 24 days increases hemoglobin mass and red cell volume in elite
endurance athletes. J. Appl. Physiol. 2006, 100, 1938–1945. [CrossRef] [PubMed] endurance athletes. J. Appl. Physiol. 2006, 100, 1938–1945. [CrossRef] [PubMed]
3. Levine, B.D.; Stray-Gundersen, J. “Living high-training low”: Effect of moderate-altitude acclimatization with low-altitude
training on performance J Appl Physiol 1997 83 102–112 [CrossRef] [PubMed] 3. Levine, B.D.; Stray-Gundersen, J. “Living high-training low”: Effect of moderate-alti
training on performance. J. Appl. Physiol. 1997, 83, 102–112. [CrossRef] [PubMed] 3. Levine, B.D.; Stray-Gundersen, J. “Living high-training low”: Effect of moderate-altitude acclimatization with low-altitude
training on performance. J. Appl. Physiol. 1997, 83, 102–112. [CrossRef] [PubMed] 4. Kraemer, W.J.; Rogol, A.D. The Endocrine System in Sports and Exercise; John Wiley & Sons: Hoboken 4. Kraemer, W.J.; Rogol, A.D. The Endocrine System in Sports and Exercise; John Wiley & Sons: Hoboken, NJ, USA, 2008; Volume 11. 5. McLean, B.D.; Gore, C.J.; Kemp, J. Application of “live low-train high” for enhancing normoxic exercise performance in team
sport athletes. Sports Med. 2014, 44, 1275–1287. [CrossRef] 5. McLean, B.D.; Gore, C.J.; Kemp, J. Application of “live low-train high” for enhancing normoxic exercise performance in team
sport athletes. Sports Med. 2014, 44, 1275–1287. [CrossRef] p
p
6. Roberts, A.; Clark, S.; Townsend, N.; Anderson, M.; Gore, C.; Hahn, A. Changes in performance, maximal oxygen uptake and
maximal accumulated oxygen deficit after 5, 10 and 15 days of live high:train low altitude exposure. Eur. J. Appl. Physiol. 2003, 88,
390–395. [CrossRef] 7. Faiss, R.; Girard, O.; Millet, G.P. Advancing hypoxic training in team sports: From intermittent hypoxic training to repeated
sprint training in hypoxia. Br. J. Sports Med. 2013, 47 (Suppl. S1), i45–i50. [CrossRef] 7. Faiss, R.; Girard, O.; Millet, G.P. Advancing hypoxic training in team sports: From intermittent hypoxic training to repeated
sprint training in hypoxia. Br. J. Sports Med. 2013, 47 (Suppl. S1), i45–i50. [CrossRef] p
g
yp
J
p
(
pp
)
[
]
8. Brocherie, F.; Girard, O.; Faiss, R.; Millet, G.P. 5. Conclusions The results of this study indicate that many of the acute responses seen were associated
with the environmental conditions. Overall, the hypoxic conditions were physiologically
more stressful than the normoxic conditions, irrespective of the training protocol, which is
in keeping with our hypothesis. The significant changes observed in RPE, [BLa+], pCO2,
pO2, and sO2, as well as the non-significant but potentially meaningful changes seen in
pH and HCO3−, indicate that the hypoxia sessions were more physiologically stressful
for the athletes. It does not appear that the type of training influenced performance or
physiological response, except in the case of [BLa+]. Supplementary Materials: The following supporting information can be downloaded at: https:
//www.mdpi.com/article/10.3390/ijerph19052607/s1, Figure S1: Study Timeline. Author Contributions: All authors contributed to this study. Conceptualization: N.M.-R., D.J.B. and H.M.L.-S.; methodology: N.M.-R. and D.J.B.; data collection: N.M.-R.; writing—original draft
preparation: N.M.-R.; writing—reviewing and editing: N.M.-R., D.J.B. and H.M.L.-S.; supervision:
D.J.B. and H.M.L.-S. All authors have read and agreed to the published version of the manuscript. Funding: This research received no external funding. Funding: This research received no external funding. Institutional Review Board Statement: The Research Ethics Board at the Canadian Sport Institute
Ontario approved the study (REB#18-01). Institutional Review Board Statement: The Research Ethics Board at the Canadian Sport Institute
Ontario approved the study (REB#18-01). Institutional Review Board Statement: The Research Ethics Board at the Canadian Sport Institute
Ontario approved the study (REB#18-01). Informed Consent Statement: Parents (assent was required) and participants were informed both
verbally and in writing of the experimental protocol and potential risks before giving their verbal and
written assent and consent, respectively, to participate. Written informed consent has been provided
by all participants to publish this paper. Data Availability Statement: The data presented in this study are available on request from the
corresponding author. The data are not publicly available due to privacy restrictions. Data Availability Statement: The data presented in this study are available on request from the
corresponding author. The data are not publicly available due to privacy restrictions. Acknowledgments: We would like to thank the University of Toronto, Faculty of Kinesiology and
Physical Education and the Canadian Sport Institute of Ontario (CSIO) for their support. Acknowledgments: We would like to thank the University of Toronto, Faculty of Kinesiology and
Physical Education and the Canadian Sport Institute of Ontario (CSIO) for their support. Conflicts of Interest: The authors declare no conflict of interest. References Geiser, J.; Vogt, M.; Billeter, R.; Zuleger, C.; Belforti, F.; Hoppeler, H. Training High—Living Low: Changes of Aerobic Performance
and Muscle Structure with Training at Simulated Altitude. Int. J. Sports Med. 2001, 22, 579–585. [CrossRef] 27. Fulco, C.S.; Rock, P.B.; Cymerman, A. Maximal and submaximal exercise performance at altitude. Aviat. 69, 793–801. Available online: http://www.ncbi.nlm.nih.gov/pubmed/9715971 (accessed on 25 April 28. Ventura, N.; Hoppeler, H.; Seiler, R.; Binggeli, A.; Mullis, P.; Vogt, M. The Response of Trained Athletes to Six Weeks of Endurance
Training in Hypoxia or Normoxia. Int. J. Sports Med. 2003, 24, 166–172. [CrossRef] 29. Spencer, M.; Bishop, D.; Dawson, B.; Goodman, C. Physiological and Metabolic Responses of Repeated-Sprint Activities. Sport
Med. 2005, 35, 1025–1044. [CrossRef] 30. Keskinen, O.P.; Keskinen, K.L.; Mero, A.A. Effect of pool length on blood lactate, heart rate, and velocity in swimming. Int. J. Sports Med. 2007, 28, 407–413. [CrossRef] 31. Girard, O.; Billaut, F.; Christian, R.J.; Bradley, P.S.; Bishop, D.J. Exercise-related sensations contribute to decrease power during
repeated cycle sprints with limited influence on neural drive. Eur. J. Appl. Physiol. 2017, 117, 2171–2179. [CrossRef] p
y
p
pp
y
32. Hamlin, M.J.; Lizamore, C.A.; Hopkins, W.G. The Effect of Natural or Simulated Altitude Training on H
Running Performance in Team-Sport Athletes: A Meta-Analysis. Sport Med. 2017, 46, 431–446. [CrossR in, M.J.; Lizamore, C.A.; Hopkins, W.G. The Effect of Natural or Simulated Altitude Training on High-Intensi
ing Performance in Team-Sport Athletes: A Meta-Analysis. Sport Med. 2017, 46, 431–446. [CrossRef] 33. Stringer, W.; Wasserman, K.; Casaburi, R.; Porszasa, J.; Maehara, K.; French, W. Lactic acidosis as a facilitator of oxyhemoglobin
dissociation during exercise. J. Appl. Physiol. 1994, 76. Available online: https://www.physiology.org/doi/pdf/10.1152/jappl.19
94.76.4.1462 (accessed on 30 April 2018). 94.76.4.1462 (accessed on 30 April 2018). p
34. Sutton, J.R.; Reeves, J.T.; Wagner, P.D.; Groves, B.M.; Cymerman, A.L.L.E.N.; Malconian, M.K.; Rock, P.B.; Young, P.M.; Walter,
S.D.; Houston, C.S. Operation Everest II: Oxygen transport during exercise at extreme simulated altitude. J. Appl. Physiol. 1988,
64, 1309–1321. [CrossRef] [PubMed] 35. Meert, K.L.; Clark, J.; Sarnaik, A.P. Metabolic acidosis as an underlying mechanism of respiratory distress in children with severe
acute asthma. Pediatr. Crit. Care Med. 2007, 8, 519–523. [CrossRef] [PubMed] 36. Meyer, T.; Faude, O.; Scharhag, J.; Urhausen, A.; Kindermann, W. Is lactic acidosis a cause of exercise induced hyperventilation at
the respiratory compensation point? Br. J. Sports Med. 2004, 38, 622–625. [CrossRef] [PubMed] 37. References [CrossRef] pp
y
20. Micheal, J.S.; Rooney, K.B.; Smith, R.M. The metabolic demands of kayaking: 20. Micheal, J.S.; Rooney, K.B.; Smith, R.M. The metabolic demands of kayaking: A review. J. Sports Sci. M 21. Borg, G.A. Psychophysical bases of perceived exertion. Med. Sci. Sports Exerc. 1982, 14, 377–381. [Cross 22. Batterham, A.; Hopkins, W.G. Making meaningful inferences about magnitudes. Int. J. Sports Physiol. Perform. 2006, 1, 50–57. [CrossRef] [PubMed] [
] [
]
23. Heck, H.; Mader, A.; Hess, G.; Mücke, S.; Müller, R.; Hollmann, W. Justification of the 4-mmol/L Lactate Threshold. Int. J. Sports
Med. 1985, 6, 117–130. [CrossRef] [PubMed] , G.C.; Nevill, M.E.; Lakomy, H.K.A.; Boobis, L.H. Power output and muscle metabolism during and followin 24. Bogdanis, G.C.; Nevill, M.E.; Lakomy, H.K.A.; Boobis, L.H. Power output and muscle metabolism during and following recovery
from 10 and 20 s of maximal sprint exercise in humans. Acta Physiol. Scand. 1998, 163, 261–272. [CrossRef] [PubMed]
25. Puype, J.; Van Proeyen, K.; Raymackers, J.M.; Deldicque, L.; Hespel, P. Sprint interval training in hypoxia stimulates glycolytic
enzyme activity Med Sci Sports Exerc 2013 45 2166 2174 [CrossRef] [PubMed] 24. Bogdanis, G.C.; Nevill, M.E.; Lakomy, H.K.A.; Boobis, L.H. Power output and muscle metabolism during and following recovery
from 10 and 20 s of maximal sprint exercise in humans. Acta Physiol. Scand. 1998, 163, 261–272. [CrossRef] [PubMed] 24. Bogdanis, G.C.; Nevill, M.E.; Lakomy, H.K.A.; Boobis, L.H. Power output and muscle metabolism during and following recovery
from 10 and 20 s of maximal sprint exercise in humans. Acta Physiol. Scand. 1998, 163, 261–272. [CrossRef] [PubMed]
25. Puype, J.; Van Proeyen, K.; Raymackers, J.M.; Deldicque, L.; Hespel, P. Sprint interval training in hypoxia stimulates glycolytic from 10 and 20 s of maximal sprint exercise in humans. Acta Physiol. Scand. 1998, 163, 261–272. [CrossRef] [PubMed]
25. Puype, J.; Van Proeyen, K.; Raymackers, J.M.; Deldicque, L.; Hespel, P. Sprint interval training in hypoxia stimulates glycolytic
enzyme activity. Med. Sci. Sports Exerc. 2013, 45, 2166–2174. [CrossRef] [PubMed] 25. Puype, J.; Van Proeyen, K.; Raymackers, J.M.; Deldicque, L.; Hespel, P. Sprint interval training in hypoxia stimulates glycolytic
enzyme activity. Med. Sci. Sports Exerc. 2013, 45, 2166–2174. [CrossRef] [PubMed] y
y
p
26. Geiser, J.; Vogt, M.; Billeter, R.; Zuleger, C.; Belforti, F.; Hoppeler, H. Training High—Living Low: Change
and Muscle Structure with Training at Simulated Altitude. Int. J. Sports Med. 2001, 22, 579–585. [CrossR 26. References Effects of Repeated-Sprint Training in Hypoxia on Sea-Level Performance: A
Meta-Analysis. Sport Med. 2017, 47, 1651–1660. [CrossRef] 8. Brocherie, F.; Girard, O.; Faiss, R.; Millet, G.P. Effects of Repeated-Sprint Training in Hypoxia on Sea-Level Performance: A
Meta-Analysis. Sport Med. 2017, 47, 1651–1660. [CrossRef] y
p
9. Nummela, A.; Rusko, H. Acclimatization to altitude and normoxic training improve 400-m running performance at sea level. J. Sports Sci. 2010, 18, 411–419. [CrossRef] 10. Czuba, M.; Wilk, R.; Karpi´nski, J.; Chalimoniuk, M.; Zajac, A.; Zef Langfort, J. Intermittent hypoxic training improves anaerobic
performance in competitive swimmers when implemented into a direct competition mesocycle. PLoS ONE 2017, 12, 1–17. [CrossRef] 11. Bonetti, D.L.; Hopkins, W.G.; Kilding, A.E. High-intensity kayak performance after adaptation to intermittent hypoxia. Int. J. Sports Physiol. Perform. 2006, 1, 246–260. [CrossRef] 12. Galvin, H.M.; Cooke, K.; Sumners, D.P.; Mileva, K.N.; Bowtell, J.L. Repeated sprint training in normobaric hypoxia. Br. J. Sports
Med. 2013, 47 (Suppl. S1), i74–i79. [CrossRef] [PubMed] 10 of 11 10 of 11 Int. J. Environ. Res. Public Health 2022, 19, 2607 13. Faiss, R.; Léger, B.; Vesin, J.M.; Fournier, P.E.; Eggel, Y.; Dériaz, O.; Millet, G.P. Significant Molecular and Systemic Adaptations
after Repeated Sprint Training in Hypoxia. PLoS ONE 2013, 8, e56522. [CrossRef] [PubMed] p
p
g
yp
14. Bowtell, J.L.; Cooke, K.; Turner, R.; Mileva, K.N.; Sumners, D.P. Acute physiological and performance responses to repeated
sprints in varying degrees of hypoxia. J. Sci. Med. Sport 2014, 17, 399–403. [CrossRef] [PubMed] p
y
g
g
yp
p
15. Iaia, F.M.; Bangsbo, J. Speed endurance training is a powerful stimulus for physiological adaptations and performance improve-
ments of athletes. Scand. J. Med. Sci. Sport 2010, 20 (Suppl. S2), 11–23. [CrossRef] 16. Gore, C.J.; Hahn, A.G.; Aughey, R.J.; Martin, D.T.; Ashenden, M.J.; Clark, S.A.; Garnham, A.P.; Roberts, A.D.; Slater, G.J.; McKenna,
M.J. Live high:train low increases muscle buffer capacity and submaximal cycling efficiency. Acta Physiol. Scand. 2001, 173,
275–286. [CrossRef] 17. Kasai, N.; Mizuno, S.; Ishimoto, S.; Sakamoto, E.; Maruta, M.; Goto, K. Effect of trianing in hypoxia on repeated sprint performance
in female athletes. Springerplus 2015, 4, 310–317. [CrossRef] 18. Ross, A.; Leveritt, M. Long-Term Metabolic and Skeletal Muscle Adaptations to Short-Sprint Training. Sport Med. 2001, 31,
1063–1082. [CrossRef] 19. Hazell, T.J.; MacPherson, R.E.K.; Gravelle, B.M.R.; Lemon, P.W.R. 10 or 30-S Sprint Interval Training Bouts Enhance both Aerobic
and Anaerobic Performance. Eur. J. Appl. Physiol. 2010, 110, 153–160. p
p y
gy
g
p
j
p
43.
Amann, M.; Eldridge, M.W.; Lovering, A.T.; Stickland, M.K.; Pegelow, D.F.; Dempsey, J.A. Arterial oxygenation influences central
motor output and exercise performance via effects on peripheral locomotor muscle fatigue in humans. J. Physiol. 2006, 575,
937–952. [CrossRef] [PubMed] 42.
Dietz, V.; Schmidtbleicher, D.; Noth, J. Neuronal Mechanisms of Human Locomotion. J. Neurophysiol. 1979, 42, 1212–1222.
Available online: https://www.physiology.org/doi/pdf/10.1152/jn.1979.42.5.1212 (accessed on 24 April 2018). [CrossRef] [
] [
]
44.
Truijens, M.J.; Toussaint, H.M.; Dow, J.; Levine, B.D. Effect of high-intensity hypoxic training on sea-level swimming performances.
J. Appl. Physiol. 2003, 94, 733–743. [CrossRef] [PubMed] p y
J
p
[
] [
]
46.
Gabbett, T.; Kelly, J.; Ralph, S.; Driscoll, D. Physiological and anthropometric characteristics of junior
league players, with special reference to starters and non-starters. J. Sci. Med. Sport 2009, 12, 215–222. [ References Creer, A.R.; Ricard, M.D.; Conlee, R.K.; Hoyt, G.L.; Parcell, A.C. Neural, Metabolic, and Performance A
of High Intensity Sprint-Interval Training in Trained Cyclists. Int. J. Sports Med. 2004, 25, 92–98. [Cross 37. Creer, A.R.; Ricard, M.D.; Conlee, R.K.; Hoyt, G.L.; Parcell, A.C. Neural, Metabolic, and Performance Adaptations to Four Weeks
of High Intensity Sprint-Interval Training in Trained Cyclists. Int. J. Sports Med. 2004, 25, 92–98. [CrossRef] [PubMed]
38. Strass, D. Effects of Maximal Strength Training on Sprint Performance of Competitive Swimmers. Int. Ser. Sport Sci. 1988, 18,
149–156. g
y p
g
y
p
38. Strass, D. Effects of Maximal Strength Training on Sprint Performance of Competitive Swimmers. Int. Ser. Sport Sci. 1988, 18,
149–156. 39. Myer, G.D.; Ford, K.R.; Palumbo, J.P.; Hewett, T.E. Neuromuscular training improves performance and lower-extremity biome-
chanics in female athletes. J. Strength Cond. Res. 2005, 19, 51–60. [CrossRef] [PubMed] 40. Ross, A.; Leveritt, M.; Riek, S. Neural Influences on Sprint Running. Sport Med. 2001 p
g
p
41. Mendez-Villanueva, A.; Hamer, P.; Bishop, D. Fatigue in repeated-sprint exercise is related to muscle power factors and reduced
neuromuscular activity. Eur. J. Appl. Physiol. 2008, 103, 411–419. [CrossRef] 11 of 11 11 of 11 Int. J. Environ. Res. Public Health 2022, 19, 2607 42. Dietz, V.; Schmidtbleicher, D.; Noth, J. Neuronal Mechanisms of Human Locomotion. J. Neurophysiol. 1979, 42, 1212–1222. Available online: https://www.physiology.org/doi/pdf/10.1152/jn.1979.42.5.1212 (accessed on 24 April 2018). [CrossRef] p
p y
gy
g
p
j
(
p
) [
]
43. Amann, M.; Eldridge, M.W.; Lovering, A.T.; Stickland, M.K.; Pegelow, D.F.; Dempsey, J.A. Arterial oxygenation influences central
motor output and exercise performance via effects on peripheral locomotor muscle fatigue in humans. J. Physiol. 2006, 575,
937–952. [CrossRef] [PubMed] [
] [
]
44. Truijens, M.J.; Toussaint, H.M.; Dow, J.; Levine, B.D. Effect of high-intensity hypoxic training on sea-level swimming performances. J. Appl. Physiol. 2003, 94, 733–743. [CrossRef] [PubMed] J
pp
y
,
,
[
] [
]
45. Cometti, G.; Maffiuletti, N.; Pousson, M.; Chatard, J.; Maffulli, N. Isokinetic strength and anaerobic power of elite, subelite, and
amateur french soccer players. Int. J. Sports Med. 2001, 22, 45–51. [CrossRef] [PubMed] p y
p
46. Gabbett, T.; Kelly, J.; Ralph, S.; Driscoll, D. Physiological and anthropometric characteristics of junior elite and sub-elite rugby
league players, with special reference to starters and non-starters. J. Sci. Med. Sport 2009, 12, 215–222. [CrossRef] 47. 47.
Andreacci, J.L.; Lemura, L.M.; Cohen, S.L.; Urbansky, E.A.; Chelland, S.A.; von Duvillard, S.P. Th
encouragement on performance during maximal exercise testing. J. Sports Sci. 2002, 20, 345–352. [Cros p y
J
p
,
,
[
] [
]
46.
Gabbett, T.; Kelly, J.; Ralph, S.; Driscoll, D. Physiological and anthropometric characteristics of junior elite and sub-elite rugby
league players with special reference to starters and non starters J Sci Med Sport 2009 12 215 222 [CrossRef] pp
y
45.
Cometti, G.; Maffiuletti, N.; Pousson, M.; Chatard, J.; Maffulli, N. Isokinetic strength and anaerobic
amateur french soccer players. Int. J. Sports Med. 2001, 22, 45–51. [CrossRef] [PubMed] p y
J
p
abbett, T.; Kelly, J.; Ralph, S.; Driscoll, D. Physiological and anthropometric characteristics of junior elite an
l
h
l
f
d
S i
d S
12
1
[C References Andreacci, J.L.; Lemura, L.M.; Cohen, S.L.; Urbansky, E.A.; Chelland, S.A.; von Duvillard, S.P. The effects of frequency of
encouragement on performance during maximal exercise testing. J. Sports Sci. 2002, 20, 345–352. [CrossRef]
|
https://openalex.org/W4312736016
|
https://research.rug.nl/files/101556023/Beumer2019_Article_HowToIncludeSocio_economicCons.pdf
|
English
| null |
How to Include Socio-Economic Considerations in Decision-Making on Agricultural Biotechnology? Two Models from Kenya and South Africa
| null | 2,022
|
cc-by
| 15,278
|
University of Groningen
How to include socio-economic considerations in decision-making on agricultural
biotechnology?
Beumer, Koen
Published in:
Agriculture & Human Values
DOI:
10.1007/s10460-019-09934-1
IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from
it. Please check the document version below.
Document Version
Publisher's PDF, also known as Version of record
Publication date:
2019
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Beumer, K. (2019). How to include socio-economic considerations in decision-making on agricultural
biotechnology? Two models from Kenya and South Africa. Agriculture & Human Values, 36(4), 669-684.
https://doi.org/10.1007/s10460-019-09934-1 University of Groningen
How to include socio-economic considerations in decision-making on agricultural
biotechnology? Beumer, Koen
Published in:
Agriculture & Human Values
DOI:
10.1007/s10460-019-09934-1
IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from
it. Please check the document version below. Document Version
Publisher's PDF, also known as Version of record
Publication date:
2019
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Beumer, K. (2019). How to include socio-economic considerations in decision-making on agricultural
biotechnology? Two models from Kenya and South Africa. Agriculture & Human Values, 36(4), 669-684. https://doi.org/10.1007/s10460-019-09934-1 University of Groningen How to include socio-economic considerations in decision-making on agricultural
biotechnology? Beumer, Koen
Published in:
Agriculture & Human Values
DOI:
10.1007/s10460-019-09934-1
IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from
it. Please check the document version below. Document Version
Publisher's PDF, also known as Version of record
Publication date:
2019
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Beumer, K. (2019). How to include socio-economic considerations in decision-making on agricultural
biotechnology? Two models from Kenya and South Africa. Agriculture & Human Values, 36(4), 669-684. https://doi.org/10.1007/s10460-019-09934-1 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from
it. Please check the document version below. Document Version
Publisher's PDF, also known as Version of record Citation for published version (APA):
Beumer, K. (2019). How to include socio-economic considerations in decision-making on agricultural
biotechnology? Two models from Kenya and South Africa. Agriculture & Human Values, 36(4), 669-684. https://doi.org/10.1007/s10460-019-09934-1 Copyright
Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the
author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). The publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: https://www.rug.nl/library/open-access/self-archiving-pure/taverne-
amendment. Take-down policy
If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately
and investigate your claim. Abstract This article contributes to the debate about how regulatory science for agricultural technologies can be ‘opened up’ for a
more diverse set of concerns and knowledges. The article focuses on the regulation of ‘socio-economic considerations’ for
genetically modified organisms. While numerous countries have declared their intent to include these considerations in
biotechnology decision-making, it is currently unclear both what counts as a socio-economic consideration and how such
considerations should be assessed. This article provides greater clarity about how socio-economic considerations can be
included in regulations by drawing upon the experience of two countries whose efforts in this field are particularly advanced:
Kenya and South Africa. Based on extensive fieldwork, this article identifies the contours of an emerging regulatory regime
by presenting two practice-based models for including socio-economic considerations in biotechnology decision-making. Whereas Kenya has taken a bottom-up process prior to assessing the first technologies and strongly emphasises scientific
expertise, South Africa has instead established regulatory standards in an ad hoc fashion on a case-to-case basis, with a less
prominent role for scientific evidence. The discussion of the distinct characteristics and tensions of both models provides
insight into two potential pathways for including socio-economic considerations in the regulation of agricultural technologies. GMO · Regulation · Socio-economic considerations · Genetic modification · Kenya · South Africa Abbreviations
ACB
African Centre for Biodiversity
ARC
Agricultural Research Council
Bt
Bacillus thuringiensis
CBD
Convention on biological diversity
COP-MOP
Conference of Parties serving as the meeting
of the Parties to the Protocol
CPB
Cartagena Protocol on Biodiversity
DEAT
Department of environmental affairs
GMO
Genetically modified organism
KARI
Kenyan Agricultural Research Institute
NACBAA
National Advisory Committee on Biotech-
nology Advances and their Applications Abbreviations
ACB
African Centre for Biodiversity
ARC
Agricultural Research Council
Bt
Bacillus thuringiensis
CBD
Convention on biological diversity
COP-MOP
Conference of Parties serving as the meeting
of the Parties to the Protocol
CPB
Cartagena Protocol on Biodiversity
DEAT
Department of environmental affairs
GMO
Genetically modified organism
KARI
K
A
i
l
l R
h I
i
NBA
National Biosafety Authority
NGO
Non-governmental organization
SAGENE
South African Committee for Genetic
Experimentation
SEC
Socio-economic considerations
SOP
Standard operating procedure
SPS
Sanitary and phytosanitary measures
USAID
United States Agency for International
Development
WTO
World Trade Organization How to include socio‑economic considerations in decision‑making
on agricultural biotechnology? Two models from Kenya and South
Africa Koen Beumer1,2 Accepted: 23 March 2019 / Published online: 3 April 2019
© The Author(s) 2019 Accepted: 23 March 2019 / Published online: 3 April 2019
© The Author(s) 2019 University of Groningen
How to include socio-economic considerations in decision-making on agricultural
biotechnology?
Beumer, Koen
Published in:
Agriculture & Human Values
DOI:
10.1007/s10460-019-09934-1
IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from
it. Please check the document version below.
Document Version
Publisher's PDF, also known as Version of record
Publication date:
2019
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Beumer, K. (2019). How to include socio-economic considerations in decision-making on agricultural
biotechnology? Two models from Kenya and South Africa. Agriculture & Human Values, 36(4), 669-684.
https://doi.org/10.1007/s10460-019-09934-1 Take-down policy
If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately
and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the
number of authors shown on this cover page is limited to 10 maximum. Agriculture and Human Values (2019) 36:669–684
https://doi.org/10.1007/s10460-019-09934-1 Introduction One of the recurring criticisms of regulatory science is that
it functions to erroneously ‘close down’ the appraisal of food
and agricultural technologies (Stirling 2008). The starting
point for these critiques is the recognition that discussions
about new food and agricultural technologies are “not just
about the pros and cons of a particular set of technologies,
but about politics and values and the future of agrarian
society” (Scoones 2008). From this perspective, regulatory :(012345
1 3 (0121 3456789)
3 670 K. Beumer science has been criticized for predominantly framing issues
in terms of risk to human health and the environment. While
these issues are certainly important, the predominant focus
on risks to human health and the environment has been criti-
cized for narrowing down the scope of societal appraisal,
and for relegating issues of risk to the realm of specialists,
thereby excluding other types of knowledge and expertise
from the decision-making process (Levidow and Carr 1997;
Chataway and Tait 1993; Wynne 2001, 2005; Jasanoff 2005). The issue is ‘scientized’, as one commentator described it
(Kinchy 2010). for SEIA [socio-economic impact assessment].” Hence
it remains unclear what impacts should be considered
under Article 26, how such impacts should be assessed,
and how decisions should eventually be reached. Actors
across the board have cited this lack of clarity a cause of
concern, amongst others because of fears that SECs will
only act “as justifications for the imposition of trade barri-
ers” (Kerr et al. 2014) and because the ensuing regulatory
uncertainty may deter investments in potentially beneficial
technologies. This article aims to provide greater clarity about how
SECs can be regulated based on ethnographic observations
in two countries whose efforts in this field are particu-
larly advanced: Kenya and South Africa. In both coun-
tries, there are significant societal controversies around
GMOs, often revolving around socio-economic impacts of
the technology, thus sparking the need for including these
considerations in decision-making processes. The promi-
nence of African countries in this endeavour fits within a
larger trend in that was already visible during the negotia-
tions for the Cartagena Protocol, when most developed
countries argued that SECs should not be included because
they could better be left to market conditions and hence
were “of little relevance” to the Cartagena Protocol (Secre-
tariat of the CBD 2003, p. 79), while African countries on
the other hand presented the most comprehensive submis-
sion of socio-economic factors. Introduction Although several devel-
oped nations have meanwhile taken pro-active attempts
to include SECs (for instance see COGEM (2009) for the
Netherlands and Binimelis and Myhr (2016) for Norway),
it is hence not surprising that Kenya and South Africa,
frontrunners in African biotechnology, have been particu-
larly advanced in shaping regulatory practices for SECs. y
This article takes forward these criticisms and investi-
gates attempts to expand regulatory science and include
different types of concerns and knowledges. In particular, I
focus on the regulation of ‘socio-economic considerations’
(SECs) for genetically modified organisms. The concept
‘socio-economic considerations’ emerged in biotechnology
regulation in the context of the Cartagena Protocol on Bio-
diversity (CPB), an international agreement that, amongst
others, regulates the cross-border movement of genetically
modified organisms (GMOs). Article 26 of the protocol
provided countries the option to include “socio-economic
considerations arising from the impact of living modified
organisms” (Secretariat of the Convention on Biological
Diversity 2000, p. 19). The ethical, social, and economic
consequences of genetically modified organisms has been
subject to intense societal controversy over the last decades,
and Article 26 for the first time provides countries with the
possibility to take into account these widely perceived soci-
etal concerns into their regulations. Numerous countries
have meanwhile declared their intent to include these con-
siderations in biotechnology decision-making for regulating
both the import and domestic development of genetically
modified organisms, including Argentina, China, Mexico,
the Philippines, the Netherlands, Norway, Kenya, and South
Africa (Falck-Zepeda et al. 2013). y
p
g
g
y p
By providing a detailed account the work done under
Article 26 of the Cartagena protocol at the national level,
this article identifies the contours of an emerging regula-
tory regime. Based on extensive fieldwork in Kenya and
South Africa, I will identify two practice-based models
for including socio-economic considerations in biotech-
nology decision-making. Kenya and South Africa have
taken different approaches to settle what SECs should (and
should not) be taken into account, how these considera-
tions should be assessed, and how decisions are eventually
reached. These experiences are set to become even more
important as a new wave of technological developments
in the field of genetic editing will raise new questions
about the ethical, societal, and economic consequences
of biotechnology. Socio‑economic considerations as a new
object of regulation However, despite these
efforts, and despite the fact that numerous countries have
pledged to include SECs in their decision-making processes,
these attempts are hampered because as of yet “there is little
experience in dealing with these issues in actual decision-
making processes” (Fransen et al. 2005, p. 7). Even in a
country like Norway, which is often referred to as having
a progressive system for including SECs, thus far did not
experience cases where SECs played a decisive role in
decision-making (Rosendal and Myhr 2009). Despite these
efforts, overall little consensus has emerged over the defini-
tion and scope of SECs, the way SECs should be assessed,
and the distribution of roles between different stakeholders
in the decision-making process. “may take into account, consistent with their inter-
national obligations, socio-economic considerations
arising from the impact of living modified organisms
on the conservation and sustainable use of biologi-
cal diversity, especially with regard to the value of
biological diversity to indigenous and local commu-
nities” (Secretariat of the CBD 2000, p. 19). Although the Cartagena Protocol focused on the trans-
boundary movement of GMOs, discussions and regula-
tions of SECs soon transcended this focus. As we will see
later, also in Kenya and South Africa the regulation of
SECs is not limited to transboundary movements. Never-
theless, it was the adoption of the Cartagena Protocol that
spurred debate about the definitions and scope of SECs—
i.e. about what counts as a valid SECs. In the most narrow
int erpretation, SECs only apply to the impact genetically
modified organisms on the value of biological diversity
to indigenous and local communities, as is described in
Article 26 (Jaffe 2005). In its broadest interpretation, a
wide variety of concerns can be shared under the heading
of SECs. RAEIN-Africa (2012), COGEM (2009), Lud-
low et al. (2014) and Fransen et al. (2005) for instance
mention economic impacts such as the costs of inputs and
labour, the impact on employment, food supply, and on
recreation; social impacts such as freedom of consumer
choice, equity issues along the lines of gender and age, and
religious beliefs; and cultural impacts such as traditional
seed exchange systems, cultural uses of biodiversity, and
cropping practices associated with indigenous knowledge
systems. All these considerations seem to share, is that
their object of regulation is not risks to human health and
the environment. Socio‑economic considerations as a new
object of regulation Questions have furthermore been raised about how SECs
should be assessed and how decisions should eventually be
reached. Various scholars and organizations have for exam-
ple discussed the benefits and drawbacks for ex ante or ex
post assessments (Falck-Zepeda 2009) and the importance
of carefully manage the expectations arising from regula-
tory frameworks (COGEM 2014). Also different methodolo-
gies have been proposed for performing these assessments,
ranging from economics-oriented methods like cost–benefit
analysis (Hall and Moran 2003), social-economic impact
analysis (Stabinsky 2000), and effectiveness tests (Chatur-
vedi et al. 2012), to broader frameworks that include dif-
ferent types of public participation (Fransen et al. 2005),
scenario planning methodologies (AHTEG-SEC 2014), and
problem formulation tools (Tepfer et al. 2013). Socio-economic considerations emerged in a context
where the public debate about agricultural biotechnology
continuously ‘overflowed’ the confines of the regulatory
focus on risks to human health and the environment. The
concept of ‘socio-economic considerations’ can be under-
stood as a response to this perceived gap between the nar-
row focus on risks in regulation and the broader concerns
that are expressed in public debates. The term entered bio-
technology regulations as a compromise in negotiations
in the context of the Cartagena Protocol on Biodiversity. As countries were unable to reach consensus over the
inclusion of criteria other than those concerning risk and
trade, the compromise was reached to provide countries
the option to include SECs in decision-making (Secretariat
of the CBD 2003). This was articulated in Article 26 of the
Protocol, noting that signatories of the Protocol: There has hence been quite some work that enables coun-
tries to shape their regulations for SECs. There have been a
few attempts to sketch the broad outlines of existing regula-
tory schemes that include SECs (COP-MOP 2008; Falck-
Zepeda 2009; Falck-Zepeda and Zambrano 2011; Binimelis
and Myhr 2016), including for example Argentina, where the
assessment of SECs is limited to impacts on trade, which
are assessed using principles from cost–benefit analysis. And the regulation of SECs has also repeatedly received a
prominent place on the agenda of the Conference of Parties
serving as the meeting of the Parties to the Protocol (COP-
MOP), the European Committee, and the Food and Agricul-
ture Organization, amongst others. Introduction These two models, along with a critical
discussion of their benefits and drawbacks, can provide
guidance to other countries by highlighting different strat-
egies for dealing with the practical difficulties of including
SECs into biotechnology decision-making. In practice, however, it is far from clear what it means
to include SECs in decision-making. For example there
are vast differences in the definition of socio-economic
considerations. While narrow interpretations limit the
definition of SECs to economic effects on farmers rela-
tive to existing crops, wider definitions include anything
from impacts on gender, income, indigenous communi-
ties, and even cultural and religious concerns. Further-
more, traditionally the regulation of GMOs has heavily
focused on sanitary and phytosanitary measures and the
possibility to include SECs in decision-making—rather
than leaving these to the market—is a rather new devel-
opment. As a consequence, not only is there considerable
lack of clarity as to what counts as a valid socio-economic
consideration, also, as RAEIN-Africa (2012, p. 1) notes,
“whilst methodology for environmental and health risk
assessment is well-developed the same cannot be said 1 3 3 3 671 How to include socio-economic considerations in decision-making on agricultural… Theoretical and methodological approach The practice-based approach taken in this article can best be
explained by contrasting it to what will be called a ‘tradi-
tional’ approach to regulation. In this traditional approach,
a strong distinction is made between the ‘science-based’
regulation of health and environmental risks and the sup-
posedly ‘non-scientific’ nature of regulations based on other
concerns, like socio-economic considerations. The scientific
basis of regulations of health and environmental risks is for
instance articulated in the WTO agreement on the applica-
tion of Sanitary and Phytosanitary Measures (SPS), which
specifies that trade-curtailing measures may only be taken
if “based on scientific principles” and “sufficient scientific
evidence” (WTO 1995). From this perspective, including
SECs in decision-making potentially opens the floodgates
to various ‘non-scientific justifications’ that hamper trade. j
p
g
Socio-economic considerations, in contrast, present regu-
lators with a largely new concern for which it has not yet
been crystallized what work is required to take them into
account in decision-making. From this perspective, the dif-
ference between objective/science-based/predictable regula-
tion of risks and subjective/politics-based/unpredictable reg-
ulation of SECs comes into view as the difference between
a practice that is well-established and a practice that is only
emerging. Although there is certainly no guarantee that the
regulation of SECs will travel the same path as SPS, the
practice-based perspective helps to highlight that in theory,
SECs too can evolve over time from subjective to objective
and from unpredictable to predictable. There are no inherent
properties to SECs as an object of regulation that prevent a
potential consensus to emerge over what counts as a valid
SEC and how this can best be measured (Table 1). ii
This view is founded upon the assumption that the objec-
tive or subjective nature of regulatory practices are somehow
inherent to the regulated concern. In this reading the very
nature of SECs makes it impossible for them to be regulated
in an objective and predictable manner because they amount
to mere opinions, values, and political interests that cannot
be dealt with through science. This article builds upon sev-
eral authors who have earlier rejected this seemingly clear
distinction. Kleinman and Kinchy (2007) for instance point
out that this distinction itself rests upon views about the con-
ditions under which circumvention of the market is deemed
legitimate that are themselves informed by neoliberal ideol-
ogy. Socio‑economic considerations as a new
object of regulation In the absence of consensus over what counts as valid
socio-economic considerations and how to assess them,
countries are caught in between seemingly mutually exclu-
sive desires. On the one hand, these countries wish to
broaden the scope of valid regulatory concerns to include
issues beyond risks to human health and the environment. Doing so, on the other hand, risks ruling out potentially ben-
eficial technologies since SECs “may constitute an unwork-
able hurdle if the assessment procedure is not clearly defined
up front” (Falck-Zepeda 2009). Failing to define what SECs
are taken into considerations and how these can best be
assessed could bar potentially beneficial technologies to 1 3 672 K. Beumer as a consensus that has slowly evolved over course of the last
centuries (Luhmann 1993; Boholm 2015), reflecting both the
value that is attributed to human health and the environment,
the objects that are considered to pose a risk to those values,
and the particular types of knowledge that are considered
credible (e.g. Porter 1996; Jasanoff 2005). enter countries and could hamper technological progress
as it dis-incentivizes researchers to put time and effort in
developing new agricultural biotechnologies that may later
be rejected. This article suggests one way to overcome this conun-
drum is to take a practice-based approach to regulation that
draws on literature from the sociology of science and tech-
nology. This will be set out in the next section. f
This perspective furthermore draws attention to all the
practices involved in producing the knowledge about the
object of regulation that enables objective forms of decision-
making (de Vries et al. 2011; Boholm 2015; Beumer 2017). For instance, in the case of risks to human health and the
environment thousands of people work to isolate relevant
properties, administer those in a particular dosage, carefully
selected animal models, whose exposure to the risk object
is in turn measured after a particular period, using care-
fully calibrated machines, operated by staff with the right
educational background, who look for damage done by the
risk object in predetermined organs in the animal models. 3 Agricultural biotechnology regulation Researchers in Kenya have been working on genetic modi-
fication since at least the early 1990s and the government
has taken several steps to promote and regulate the tech-
nology since. In 1991, the National Advisory Commit-
tee on Biotechnology Advances and their Applications
(NACBAA) was established to identify research priorities
and 1 year later the Kenyan Agricultural Research Institute
(KARI) formulated the first biosafety guidelines (Wafula
1995). More recently the government approved a National
Biotechnology Development Policy in 2006, outlining how
Kenya could move ahead with biotechnology, and in 2009
the Biosafety Act was approved by the Kenyan president. These events have been accompanied by significant resist-
ance, culminating in the 2012 imposition of a moratorium
on the import of GMOs. Interviews focused on actors that were closely involved in
the regulation of SECs so as to gain a detailed understanding
of the process through which particular considerations were
included or excluded from the regulatory process and how
decisions were taken to measure and assess these considera-
tions in particular ways. These interviews were supplemented
with several other interviews with key actors who have been
active in discussions about biotechnology regulation but
who were less closely involved in the regulation of SECs. This helped to gain an alternative perspective on the events
described by those closely involved in the regulatory process. Interviewees were first identified through a preliminary docu-
ment analysis and internet search and thereafter also by asking
interviewees once in Kenya and South Africa to suggest names
of other relevant actors. The 2009 Biosafety Act established the structures
through which SECs were first explicitly addressed. The
Act foresaw the establishment of a new competent author-
ity that was charged with the responsibility to implement
the Act. This institute was called the National Biosafety
Authority (NBA) and was placed under the Ministry of
Science and Technology. The decision-making power is
situated with the board of the biosafety authority, which by
law consists of the chairperson and chief executive officer,
along with scientists, interest groups, and representatives
of various ministries and government agencies. The Act
set forth different requirements for the contained use,
environmental release, import, export, transit, and plac-
ing on the market of genetically modified organisms. SECs
were solely included in the approval for the environmental
release of genetically modified organisms. Theoretical and methodological approach Agreement over what counts as a risks and how
to measure that risk is not a given that is implicated in the
nature of the object of regulation: it instead comes into view 3 How to include socio-economic considerations in decision-making on agricultural… 673 How to include socio-economic considerations in decision-making on agricultural… 673
How to include socio-economic considerations in decision-making on agricultural…
Table 1 Differences in framing the regulation of risks and SECs
Sanitary and phytosanitary measures
Socio-economic considerations
Traditional frame
Science-based
Politics-based
Objectivity follows from nature of object of regulation
Subjectivity follows from nature of object of regulation
Practice-based frame
Product of both science and politics
Product of both science and politics
Well-established practice
Newly emerging practice
Objectivity product of agreement over what constitutes
valid evidence
Subjectivity product of agreement over what consti-
tutes valid evidence Socio-economic considerations Politics-based
Subjectivity follows from nature of object of regulation
Product of both science and politics
Newly emerging practice
Subjectivity product of agreement over what consti-
tutes valid evidence Politics-based
Subjectivity follows from nature of object of regulation
Product of both science and politics
Newly emerging practice
Subjectivity product of agreement over what consti-
tutes valid evidence the regulations, as well as scientists and companies filing
applications, peer reviewers, and local and international non-
governmental organizations. The interviews were conducted
in the home institute of the interviewee (in and around Nairobi
and Eldoret in Kenya, in and around Pretoria, Onderstepoort,
Midrand, Johannesburg, Cape Town, Somerset West and Stel-
lenbosch in South Africa) and they were fully transcribed. The
semi-structured nature of the interviews allowed for compari-
sons between interviewees and countries while their open-
ended nature was essential in capturing regulatory practices
that are not formalized in written documents and allowed the
analyst to go further into detail when merited. in the process of assessing concrete applications. The empiri-
cal sections mirror these differences and hence are structured
rather differently. Theoretical and methodological approach The attempt to entrench this ideologically informed dis-
tinction by characterizing the regulation of risks as scientific
and delegating all other forms of regulation as unscientific
is a form of scientism that cannot be reasonably be defended
(Kinchy et al. 2008). This has consequences for the purpose of identifying the
contours of a new regulatory regime. If the establishment
of what counts as a valid SECs and what counts as valid
evidence is the outcome of hard work, then the contours of
the new regulatory regime can best be identified by observ-
ing the practices through which actors attempt to define and
measure SECs. The question hence is what evolving prac-
tices can be observed through which SECs as an object of
regulation are made sufficiently objective and predictable? fi
This article takes an ethnographic approach, which is par-
ticularly suited to investigate emerging practices that have not
yet been fully formalized. I mainly rely upon two types of
sources to identify relevant regulatory practices: semi-struc-
tured qualitative interviews and written documents. I spent
a total of 3 weeks in Kenya in March 2016 and 3 weeks in
South Africa in April 2016 to conduct semi-structured qualita-
tive interviews with a total of 39 people. This included inter-
views with government officials from different regulatory
agencies and ministries, actors directly involved in drafting This article instead adopts a practice-based approach to
regulation. This perspective helps to show that differences in
objectivity or subjectivity (and predictability or unpredict-
ability) of different objects of regulation are the outcome of
particular practices through which actors either manage or
fail to agree on what constitutes valid conditions for market
intervention. Agricultural biotechnology regulation The Act notes
that in reaching its decision, the Authority “shall take into The documents were gathered through an elaborate inter-
net search for which both academic and non-academic search
engines were used (including EBSCOHOST, Google Scholar,
and Google). Additional documents were gathered during field
work, amongst others by asking interviewees if they could
identify further relevant documents. Both documents were
gathered that play a role in the regulatory process itself (such
as laws, regulations, or guidelines) and documents that com-
ment upon the process (such as academic studies, newspaper
articles, or organizational websites). Together the interviews
and documents provide a good base for triangulating findings
and tracing the emergence of a regulatory regime for SECs. It was found that the regulation of SECs in Kenya was
established largely separate from concrete applications
whereas in South Africa the regulatory practices only emerged 1 674 K. Beumer send the applications to for review to look for” (interview 31
March 2016a). Initially the NBA board considered drafting
the guidelines themselves, ensuring that the SECs consid-
ered “should not be varying from one applicant to another”
(interview 17 March 2016a). As an example, a former board
member pointed to the highland area of Kitale, where the
bulk of maize in the country comes from, and suggested that
“you can say for Kitale … we want that area to be free of
any issues from GM” (interview 17 March 2016a). Instead
the NBA opted for a more participative approach to develop
the standard operating procedure by organizing a workshop
that was meant to solicit views from various stakeholders
about what SECs had to be included and how they should
be assessed. account … socio-economic considerations arising from
the impact of the genetically modified organism on the
environment” (Government of Kenya 2011). As one civil
servant highlighted, whereas the Cartagena protocol stated
that parties may consider socio-economic factors, “when
you look at our biosafety law, it says it is a mandatory
thing” (interview 31 March 2016a). The newly established National Biosafety Authority
was charged with the responsibility to shape the regulation
of SECs. The application form In order to decide whether or not a genetically modified crop
will be approved for environmental release, the National
Biosafety Authority requires applicants to provide infor-
mation about the crop. Applicants therefore have to fill in
a form consisting of a long list of detailed questions. The
application process thereby “passes the ball to those who
have developed the product” (interview 18 March 2016). SECs are not included in the form itself but applicants are
obliged to provide information on socio-economic impacts
in an annex (interview 31 March 2016a). The Biosafety Act itself does not specify what SECs
should be taken into consideration. As one industry actor
told me, the passage about SECs in the Biosafety Act “is
just a general statement that is put there but digging deeper
into guidelines and everything else, there’s no other place
you’ll find when looking into socioeconomic considerations”
(interview 31 March 2016b). Different actors perceived this
as problematic. For applicants this meant that there was lit-
tle clarity as to whether or not the Act’s requirements had
been met. And regulators did not trust that applicants would
provide sufficient and credible information in the absence of
more specific criteria for providing information on SECs. As one former board member of the NBA mentioned: “they
will give you biased information. An applicant will never tell
you that our product is going to affect the choice of varieties
from farmers, or that it’s going to take away from a variety
which has medicinal value” (interview 17 March 2016a). Eventually “it was up to the NBA to decide what to take
and what not to take” (interview 18 March 2016). Issues that
were occasionally mentioned in literature on SECs but that
were not brought up during the stakeholder workshop, like
the impact on local seed systems or indigenous knowledge,
were not included. Facing the lack of consensus amongst
workshop participants, the biosafety authority simply
included all SECs that were raised during the stakeholder
workshop. The scope of the standard operating procedure
was subsequently very broad, ranging from issues concern-
ing equal access of men and women to farmers income, and
from enhanced nutritional composition (see Table 2). The biosafety authority therefore set out to create a stand-
ard operating procedure (SOP) for SECs. Agricultural biotechnology regulation SECs were eventually included in the applica-
tion procedure for environmental release in three distinct
moments: first, through information provided by the appli-
cant, which is reviewed by socio-economic experts; sec-
ond, through public comments that are invited after every
application; and third, in the final decision taken by the
board of the biosafety authority about the environmental
release. These three moments will now be discussed in
greater detail. The workshop was facilitated by a well-known interna-
tional expert on SECs and was attended by about 25 different
stakeholders, from scientists to consumer organizations, and
from industry to environmental NGOs (interview 18 March
2016). Both participants and the organizers of the workshop
mentioned that the participants failed to reach consensus
about how to regulate SECs. This was hardly surprising con-
sidering the antagonistic biotechnology debate in Kenya. Even the format of the workshop was subject to contestation. Actors from civil society organizations for instance noted
that the international expert facilitating the workshop “is
known to be a pro-GM person, … and that in itself tells
me NBA is not interested in being impartial (interview 17
March 2016b). In his introductory presentation the expert
furthermore put a strong emphasis on economic issues, in
particular on “comparing the economic benefit of growing
Bt maize vis-à-vis growing normal hybrid maize” (interview
17 March 2016b), thereby foreclosing discussions on non-
economic issues “like indigenous varieties, co-existence,
… and the impact on non-target organism like butterflies
and bees” (interview 17 March 2016b). Yet, despite the fact
that “it was a wide group of people with various opinions”
(interview 18 March 2016), as one biotechnology proponent
tactfully noted, different participants that were interviewed
noted that they were nevertheless able to openly put forward
what SECs they thought should be included in the decision-
making process (NBA 2013). 1 For instance a question like “are seeds and other farm inputs afford-
able to ordinary farmers” may include information about the seed
price, over which the applicant may have a certain amount of con-
trol, but could also include information about other factors affecting
the economic situation of farmers, since this may determines what is
affordable for farmers. Similarly, a question like “will other technolo-
gies be available to guarantee freedom of choice” may include infor-
mation about other commodities currently offered by the applicant
but could also include an assessment of government policies and the
strategies of competitors that structure this availability. The application form This document, in
the words of one NBA employee, was supposed to provide
“a guideline on what issues as NBA we want applicants to
report, [and on what issues we want] the experts that we 1 3 3 3 How to include socio-economic considerations in decision-making on agricultural… How to include socio-economic considerations in decision-making on agricultural… 675 Table 2 Socioeconomic consideration criteria in the standard operating procedure
Concept
Elements/criteria
Food security and sustainability Will there be increase in yield/ha? Will there be surplus for individuals/country? Will the technology be con-
tinuous? Will technology complement other income sources? Access to the technology
Will other technologies be available to guarantee freedom of choice? Will SEC increase time and cost of regu-
latory approvals hence delaying its adoption? Gender issues: women versus men
Income to farmers
Will farmers make more money using GM technology compared to status quo? Will cost–benefit analysis be
beneficial to farmers? Cost of seeds and other inputs
Are seeds and other farm inputs affordable to ordinary farmers? Does the technology reduce cost of produc-
tion? Are there economies of scale? Co-existence
How to ensure genetic integrity on organic and conventional food? How to deal with litigation? Trade implications
How approval of GM technology will impact on exports and other trade factors? Will Kenyan products access
EU market? Are we going to be competitive? How will the technology affect our branding? Will it affect
surpluses too? Benefits and freedom of choice
Any tangible benefits to consumer? - Reduced commodity prices, enhanced nutritional composition? Is the
society healthier? Is there good labelling practices? Can consumers easily access conventional or organic
products? Biosafety and stewardship
What happens if adverse effects are detected later when the product is in the market and people have consumed
the GMO? Will farmers be trained and follow laid down GAPs? Will there be increase in yield/ha? Will there be surplus for individuals/country? Will the technology be con-
tinuous? Will technology complement other income sources? Any tangible benefits to consumer? - Reduced commodity prices, enhanced nutritional composition? Is the
society healthier? Is there good labelling practices? Can consumers easily access conventional or organic
products? What happens if adverse effects are detected later when the product is in the market and people have consumed
the GMO? Will farmers be trained and follow laid down GAPs? The application form Significantly, the standard operating procedure takes the
form of a series of questions, 25 in total. The questions are
explicitly meant to provide guidance for applicants and regu-
lators about the type of issues that will be assessed. How
these questions should be answered thus remains open, since
the document specifies neither the information nor the meth-
ods required for answering these questions (with the possible
exception of cost–benefit analysis).1 The standard operating
procedure furthermore does not define clear benchmarks of
what socio-economic impacts are considered desirable or
unacceptable. The senior NBA official strongly emphasized
this point: “Very importantly, if you remember the SOP,
… the document is not saying ‘if it is so high, then it’s not
acceptable’. There are questions that do not have limits as to
how much” (interview 31 March 2016c).f should not influence my decision and … because if I recom-
mend something negative then they can come for my neck”
(interview 16 March 2016). The reviewers assess whether
the information provided by the applicant is correct and
whether all relevant information is provided. In reviewing the information on SECs, the experts contin-
uously balance the ambitious assessment criteria with practi-
cal limitations. On the one hand the requirements are very
high. For instance in assessing the correctness of informa-
tion provided, so one reviewer told me, evidence that has not
been published in academic journals “may not be acceptable. … It’s just like I can sit down and write the paper” (inter-
view 16 March 2016). And even if the application draws on
evidence that has been published in a peer reviewed journal,
the anonymous experts are still required to review the quality
of the scientific evidence. Although one reviewer highlights
that deciding whether the evidence is sufficiently convinc-
ing is to some extent a subjective exercise, the reviewers
generally follow basic scientific guidelines: “Was there a
good sampling? Were the data collection methods good
enough? Was the analysis good? Is the interpretation good? … It has to be good science” (interview 16 March 2016). Furthermore, in assessing the completeness of the informa-
tion, reviewers are instructed by the NBA staff to “go beyond
what the applicant has provided because the applicant some-
times doesn’t have some information, or maybe they are shy-
ing away from giving some information that they feel can
limit the approval” (interview 31 March 2016a). Public consultation Next to the information that applicants have to provide, the
second way that SECs enter the Kenyan decision-making
process is through a public consultation. The Biosafety Act
requires the NBA to inform the public about any applica-
tion for environmental release in order to provide the public
with the opportunity to voice their opinion and to “address
appropriately any relevant concerns raised by such a person”
(Government of Kenya 2011). Formally the Act requires
the NBA to publish a summary of the application in the
Kenya Gazette and at least two nationally circulated news-
papers, after which concerns can be send to the NBA within
30 days (Government of Kenya 2011; interview 31 March
2016a). There are no restrictions on who can voice concerns,
whether they are individual members of the public or repre-
sentatives of public or private organizations. Nor are there
restrictions as to what concerns can be raised during this The application form …
We want consumers and producers to benefit” (inter-
view 16 March 2016). The biosafety authority furthermore introduced an obliga-
tory form for written responses only days before the dead-
line for submitting comments, when most actors had already
prepared their responses on their own terms. A civil society
representative observed: “I think a lot still needs to be done
in defining and actually organizing a meaningful public par-
ticipation process for biotechnology” (interview 29 March
2016). In practice the reviewers strike a balance between the
strict criteria of completeness and scientific validity on the
one hand and practical limitations in providing that informa-
tion on the other—a practice that raised no objections by any
of the actors interviewed. The expert reviewers subsequently
write a report, including a recommendation, and send this to
the board of the biosafety authority. After receiving the public comments, staff from the
biosafety authority analyzes them and makes a shift. Both
NBA staff and outsiders mentioned that they proceed by
first setting apart concerns and questions that can readily
be answered. These public comments are addressed by the
NBA itself. In all other cases the NBA asks the applicant to
submit a written response to each of these issues. The public
comments as well as the applicant’s reply are then sent to the
NBA board, informing them that the “public listed the fol-
lowing issues, then we took the issues to the applicant, and
this is the response” (interview 31 March 2016a). The application form In reviewing the information on SECs, the experts contin-
uously balance the ambitious assessment criteria with practi-
cal limitations. On the one hand the requirements are very
high. For instance in assessing the correctness of informa-
tion provided, so one reviewer told me, evidence that has not
been published in academic journals “may not be acceptable. … It’s just like I can sit down and write the paper” (inter-
view 16 March 2016). And even if the application draws on
evidence that has been published in a peer reviewed journal,
the anonymous experts are still required to review the quality
of the scientific evidence. Although one reviewer highlights
that deciding whether the evidence is sufficiently convinc-
ing is to some extent a subjective exercise, the reviewers
generally follow basic scientific guidelines: “Was there a
good sampling? Were the data collection methods good
enough? Was the analysis good? Is the interpretation good? I h
b
d
i
” (i
i
16 M
h 2016) After an application is submitted, the NBA staff screens
whether the application is complete and sends the annex
on SECs out for peer review. The review is done by social
scientists specialized in socio-economic issues (hence not
by biotechnology scientists). Their identities are kept confi-
dential, as one reviewer said, “because I think other people … It has to be good science” (interview 16 March 2016). Furthermore, in assessing the completeness of the informa-
tion, reviewers are instructed by the NBA staff to “go beyond
what the applicant has provided because the applicant some-
times doesn’t have some information, or maybe they are shy-
ing away from giving some information that they feel can
limit the approval” (interview 31 March 2016a). In practice, on the other hand, it is not always feasible to
meet these stringent criteria. The expert reviewers take into
account such practical limitations in forming their judgment. For instance a reviewer pointed out that they understand that
studies on consumer perception could only provide rough 1 3 676 K. Beumer public consultation, including concerns about risks to human
health and socio-economic considerations. indications since consumer behavior regularly changes after
commodities enter the market. And several interviewees
pointed out the difficulties in establishing the cross-national
validity of socio-economic studies. The application form Also here reviewers con-
sider the practical limitations of providing this information,
noting that “it is preferable when we get continental data
[from Africa], but if it is lacking then you can get other data
from other countries” (interview 16 March 2016). Hence
while preference is given to peer reviewed publications of
the technology in question in Kenya, these are commonly not
available, after which also evidence will be considered from
similar technologies in the country, or otherwise of similar
technologies in other countries. And despite the wide range
of issues mentioned in the standard operating procedure, in
practice the emphasis lies rather strongly on the economic
impacts of the genetically modified crop. When asking a
reviewer what information applicants have to provide, a
reviewer noted: So far two applications for environmental release have
gone through this procedure for a public hearing and in both
cases the articulation of SECs by members of the public
did not proceed without problems—an observation that was
shared by the NBA itself. Several actors who wanted to sub-
mit comments during the public hearing, especially from
NGOs, for instance pointed out that it is not a simple task to
go through the technical aspects of applications, especially
“if you’re not a scientist” (interview 17 March 2016b), as an
actor from an environmental NGO testified. And this task
was made even harder because the application is not readily
available: “The application is a big dossier, probably hundreds
of pages. The National Biosafety Authority did not put
this application document on their website. It was only
available in their offices. … You can’t take it home,
they couldn’t give you a copy, it was not available on
their website” (interview 17 March 2016b). “They’re supposed to include reports to show that the
biotechnology is going to generate more income for
the farmers. … That’s the bottom line. … And then the
other be on the consumer side they have to show that
the consumers are willing to consume the product. …
We want consumers and producers to benefit” (inter-
view 16 March 2016). “They’re supposed to include reports to show that the
biotechnology is going to generate more income for
the farmers. … That’s the bottom line. … And then the
other be on the consumer side they have to show that
the consumers are willing to consume the product. The NBA board Finally, the board of the biosafety authority gathers all this
information: the annex on SECs that is provided by the
applicant, the report and recommendations of the expert
reviewer, the comments from the public consultation, and
the replies by the applicant. The NBA board is responsible
for taking an overall decision about whether the application
for environmental release is granted. The board first consid-
ers the risks to human health and the environment. Once an
application has met the criteria for sanitary and phytosani-
tary impacts the board subsequently takes into account the 1 3 3 How to include socio-economic considerations in decision-making on agricultural… 677 different SECs that have been articulated by the applicant,
the expert reviewers, and the public. of SECs in the standard operation procedure, this lack of
transparency runs the risk of obscuring the potentially con-
flicting social and economic interests that underlie the dif-
ferent considerations. Crucially, thus far it has remained unclear how the board
weighs SECs in the decision-making process. Both NBA
staff members and current and former members of the board
confirmed that such a procedure is currently missing. The
preceding procedure for articulating and assessing SECs—
the standard operating procedure, the application annex,
the expert review and the public consultation—certainly
shapes what considerations can and cannot be included by
the board. But each of these steps is explicitly framed as pro-
viding information to the board of the NBA, thereby situat-
ing the final authority to include SECs into decision making
with the board of the biosafety authority. Thus far two appli-
cations have gone through the entire procedure—one for a
Bt maize event and one for a Bt cotton event. While in both
cases permission was granted for environmental release, it
has remained curiously unclear what role socio-economic
considerations played in reaching that decision, if any. In the
absence of clarity about how the board reaches its final deci-
sion, both applicants aiming to put GM crops on the market
and actors concerned about the negative socio-economic
impact of those GM crops are left in the dark as to what
socio-economic considerations are decisive. The NBA board As for the evidence, although the expert reviewers for-
mally require applicants to provide evidence published in
peer reviewed scientific journals, it is unrealistic to expect
that applicants can meet this criteria for all the questions
listed in the standard operating procedure, nor does this cri-
teria of scientific evidence clarify what kinds of evidence are
deemed sufficient. The biosafety authority currently seems
to take a pragmatic approach by using the criterion for sci-
entific evidence more as an objective rather than a stringent
requirement, accepting evidence from peer reviewed publi-
cations on related technologies or on related countries, or
even non-peer reviewed publications, in case peer reviewed
publications on the technology in question in the Kenyan
context is not available. It is not inconceivable that by tak-
ing such a pragmatic approach, over time a consensus about
the standards of evidence will emerge from the interaction
between applicants, expert reviewers, public comments and
the biosafety authority. Any such tacit agreement over the
standards of evidence can only emerge when requests for
additional information are balanced with the practical limita-
tions and additional burden for applicants. Socio‑economic considerations in South
African biotechnology The regulation of socio-economic considerations in Kenya
was predominantly shaped by the National Biosafety Author-
ity, who made a sustained effort to define what counts as a
valid SEC through a bottom-up process, prior to assessing
the first application. The biosafety authority formalized the
selection of relevant SECs in a standard operating proce-
dure and further shaped the process for assessing SECs so
as to include input from socio-economic experts judging the
completeness and robustness of the scientific information
provided by the applicant, and to include public from other
actors through a public consultation to which the applicants
are invited to reply. Although the ways in which various
actors are invited to participate is not without its problems,
overall the process is designed with the intent to offer vari-
ous moments for stakeholder inclusion. Agricultural biotechnology regulation Socio-economic considerations play a very different
role in decision-making in South Africa. South Africa
has been a pioneer in genetic modification on the South
African continent. The country already had a regulatory
body since 1979, the first field trials took place in 1987,
and the first GMOs were allowed on the market in 1997,
even if GMOs have been accompanied by significant soci-
etal controversy up to this day. In 1999 the government
enacted a GMO Act that established a new regulatory
structure, that abolished the older regulatory body and
established two new bodies: an Advisory Council consist-
ing of biotechnology scientists that provides advice about
the scientific validity of applications and an Executive
Council with representatives from different government
ministries. The Executive Council takes the final deci-
sion and for applications to be granted, members of the
Executive Council have to reach a consensus: if only one
of the ministry representatives has doubts, applications
will be refused. Despite these measures to ensure inclusion, expert review,
and formalization, at this point it is not quite clear what evi-
dence is required for the assessment and when SECs make a
difference in the decision to approve or reject an application. It is thus far unclear what the thresholds are for SECs to
make a difference in decision-making and how positive and
negative socio-economic impacts are weighed against each
other. This lack of transparency endangers the credibility
of the regulatory procedure as there currently is no way of
finding out whether SECs have indeed been taken into con-
sideration. In combination with the seeming rationalization Both the SAGENE guidelines and the 1999 GMO Act
were primarily concerned with risks to human health and 1 1 3 678 K. Beumer the environment and neither mentioned SECs. These first
appeared in South African regulation in 2006, when the
GMO Act was amended in order to align South African
regulations to the Cartagena Protocol. The Act now notes
that in reaching its decision, the Executive Council may
consider “the potential socio-economic impact of such
activities” (Republic of South Africa 2007, p. 11). And
indeed SECs began to play an important role in decision-
making around the same time. Even though South Africa
is known as being rather permissive towards GMOs, they
have nevertheless banned several genetically modified
crops on socio-economic grounds, as we will see shortly. Agricultural biotechnology regulation taste of the wine and malolactic yeasts in particular are used
by wine producers in the production of less acidic tasting
wines like Chardonnay. Grapes naturally contain the acidic-
tasting malic acid and the malolactic yeast converts malic
acid into the softer-tasting lactic acid. In 2006, a group of
Canadian researchers had genetically modified a yeast strain
so as to perform both alcoholic and malolactic fermentation
at the same time (Husnik et al. 2006), raising the interest
of researchers at Stellenbosch University Institute for Wine
Biotechnology. In 2006 they applied for field trials, claiming
‘proof of concept’ as the main purpose, and the Executive
Council denied the application in September 2007 (EC min-
utes of 18 September 2007).l crops on socio economic grounds, as we will see shortly. In the current regulatory procedure, like in Kenya,
the applicant has to provide information on SECs when
applying for environmental release, and like in Kenya,
a public consultation forms part of this procedure. But
other than that, the way SECs were included in South
African decision-making strongly diverged from Kenya,
and in this process, different conclusions were drawn
about what counts as a valid concern and how this can
best be measured. The information provided by the appli-
cant is not send out for peer review, it is not assessed by
socio-economic experts, there have been no stakeholder
workshops to identify the most relevant considerations,
and there is no Standard Operating Procedure to stipulate
what information is required for what SECs, even though
the 2006 amendment to the GMO Act noted that the Min-
ister “may make regulations … prescribing the procedure
to be followed by an applicant for the purpose of drawing
up … socio-economic considerations” (Republic of South
Africa 2007, p. 20). The possibility for contamination and gene flow to non-
GM yeast varieties played an important role the rejection. Although the applicants argued that the trial site would
be effectively contained by covering the grapevines with
nets to prevent seed dispersal, both civil society organiza-
tions and winemakers questioned the effectiveness of these
measures (Jordan 2006). This gene flow was not considered
important for maintaining biodiversity in yeast varieties: it
was trade that was the central concern. The largest export
markets for South African wineries were in Europe and it
was perceived that the widespread resistance against geneti-
cally modified crops in Europe could negatively affect South
African exports. Agricultural biotechnology regulation Although the South African wine industry
had long been supporting research into genetic modifica-
tion, they were eventually not willing to take the risk. The
head winemaker at Spier Estate, a large wine estate close
to the envisioned test site, clearly formulated this when he
said that “for us on the production side, GMOs are a no-go”
(Jordan 2006). Instead the process for assessing SECs was established
in an ad hoc fashion as the Executive Council looked
at the considerations arising from new applications on
a case-to-case basis. Hence the description of the South
African regulation of SECs will take a different structure. There have been two instances in which SECs played a
decisive role in deciding the faith of an application: the
application for a GM yeast in 2007 and the application
for a GM potato in 2009. It is through the assessment of
these cases, that various standards were established for
what concerns were and were not considered valid, and
what evidence was deemed required to take an objective
decision. In preparing its decision, the Executive Council sent the
application to the Advisory Council, who recommended
approval, and they received letters from both wine mak-
ers and civil society organizations like Biowatch and the
African Centre for Biodiversity (ACB). Although Biowatch
also questioned the robustness of the risk assessment (ACB
2006), it was the socio-economic impact on trade that was
the main concern of the Executive Council. Representa-
tives from different ministries highlighted in the committee
meeting that concerns existed surrounding the “impact on
the marketability of the product, both within or outside the
RSA” and the “demand for the product” (EC minutes of
15 May 2007). The Department of Trade and Industry sub-
sequently sat down with the South African Wine Industry
Council, the representative body of the wine industry, who
clearly communicated: GM potatoes Whereas the Executive Council is usually rather scant in
its comments, in this case it cited a wide range of reasons in
its July 2009 decision. These reasons for rejecting the GM
potato can be grouped into two main categories: the benefits
of the GM potato were insufficiently proven and the potato
could potentially have a negative effect on South African
potato exports. The second case where SECs played a decisive role con-
cerned an application for the general release of a genetically
modified potato. This was by far the most high-profile case
in the country, with active civil society protest and wide
media coverage. The potato variety in question was modified
in order to gain resistance to tuber moth, a moth whose lar-
vae damage potato tubers in storage. By inserting a gene of
the Bacillus thuringiensis (Bt), the protein would disrupt the
digestion of the moths that eat the potato, thereby allowing
farmers to grow potatoes using less pesticides. The project
was funded by the United States Agency for International
Development (USAID) and ran by the Agricultural Research
Council (ARC), as part of a larger consortium that included
the International Potato Centre, Syngenta, and Michigan
State University, who had developed the original genetic
modification (Douches et al. 2002). The concern about trade, to start with the latter, had been
raised in the previous years by several different actors. In
2008, the African Centre for Biodiversity had published
a book in which they pointed out that the great majority
of South Africa’s potato exports are destined for various
Southern African countries that had previously restricted the
import of genetically modified products (Black 2008). And
at least as important, in the same year various large retailers
and processors in South Africa had publically stated their
opposition to the GM potato. Woolworths and Pick & Pay,
two of the largest supermarkets in South Africa, made clear
they would not sell these potatoes and McDonalds wrote
a letter to the Executive Council stating that they did not
want to use genetically modified potatoes for their French
fries (Hall 2008). Also McCain, a processing company from
whom McDonalds purchased their potatoes, explicitly said
that all their products are GM free. Their managing director
was quoted saying: “we’re very much driven by consumer
needs and they don’t want GM” (Gosling 2008). GM yeast The first time socio-economic considerations played a deci-
sive role was in 2006, when the government received an
application for a genetically modified strain of malolactic
yeast that could be used in the production of wine, one of
South Africa’s best-known export products. Besides their
function in fermentation, yeasts can also have effects on the “that they are against a general release due to the mas-
sive consumer resistance against GMOs, especially
from the wine drinking consumers. The Council noted
that the major export market for the wine industry is 1 3 How to include socio-economic considerations in decision-making on agricultural… 679 the United Kingdom who is against GMOs and the
local wine industry indicated that the risk is just too
high” (EC minutes of 18 September 2007). “improving storage conditions to prevent infection of tubers
after harvesting” (Ashton et al. 2004, p. 4).i The ARC was nevertheless allowed to pursue field trials
with Bt potato and between 2000 and 2007 the Executive
Council granted another nine applications for field trials,
contained use, and trial release. Yet as the ARC consor-
tium moved closer towards environmental release, concerns
about the socio-economic implications of the GM potato
grew. When the Agricultural Research Council finally filed
a request for the general release of the GM potato in July
2008, the Executive Council rejected the application by
unanimous decision (EC minutes of 21 July 2009; inter-
view 11 April 2016). The applicants subsequently filed an
appeal in September 2009 and it took until March 2015 for
the Minister of Agriculture of take a final decision on the
application, eventually deciding to uphold the decision of the
Executive Council not to allow the GM potato on the market
(EC minutes of 24 March 2015). The representative of the DEAT, the only one who had
voted in favour of approval in the May meeting, concluded
that apparently “the international industry is not yet ready
for a general release of malolactic wine yeast” (EC minutes
of 18 September 2007). The letters and opinions of the wine industry and non-
governmental organizations were deemed sufficient evidence
for the proclaimed reluctance of European markets to buy
the wines using the GM malolactic yeast and the Execu-
tive Council subsequently rejected the application on trade
grounds, noting that “we are major exporters of wine, we
cannot jeopardize those markets” (interview 14 April 2016). GM potatoes When
the Executive Council finally consulted with Potato South
Africa, the body representing the South African potato
industry, who had initially had supported the Bt potato pro-
ject (interview 15 April 2016), they too said they would
oppose GM potatoes. And so the government rejected the
crop because the “the markets were not ready” (interview
14 April 2016). The Executive Council cited this concern in
their rejection when noting that “entry of these GM potatoes i
The ARC had been conducting field trials with the Bt
potato since 2001 and, in contrast to the yeast case, SECs
only played out when the ARC applied for environmental
release. Outside of the regulatory process, however, these
concerns were raised much earlier. Already in 2004 civil
society organizations like ACB and Biowatch formally filed
an objection to the Executive Council protesting against the
request for continued field trials (Ashton et al. 2004). They
mainly protested the design of the environmental risk assess-
ment but also highlighted a wide range of SECs. They for
instance argued that smallholder farmers could not benefit
from a patented potato, which they would not be allowed to
replant, and “which consumers in all likelihood will not buy”
(Ashton et al. 2004, p. 6). The ACB furthermore questioned
whether genetic modification was an effective solution to
the tuber moth problem in the first place, pointing out that
“tuber moths mainly affect tubers during storage” (Ashton
et al. 2004, p. 4) and that it may be more effective to focus on 1 3 680 K. Beumer into the formal trade remains a particular concern” (EC min-
utes of 21 July 2009). minutes of 21 July 2009). And smallholder farmers were
cited to identify “more pressing challenges related to pro-
duction such as lack of water, seed availability, fertilizers,
etc.” (EC minutes of 21 July 2009). This was aggravated by
the observation that tuber moth, the pest that was targeted
through the genetic modification, “is not a major pest for
stored potatoes but rather rodents” (EC minutes of 21 July
2009). y
The ARC consortium had repeatedly emphasized that the
potato was also meant to bring benefits to South African
farmers, and to subsistence farmers in particular, who do not
produce potatoes for export. GM potatoes To substantiate these claims,
their application included two socio-economic studies that
sought to identify the agricultural needs and constraints by
performing surveys amongst commercial and smallholder
farmers (Jordaan and Carstens 2007; Hart and Vorster 2006). But while the studies set out to identify “the socio-economic
benefits of the Bt potato” (Black 2008, p. 57 [italics added]),
the results were rather mixed, to say the least. The studies
showed that commercial farmers were willing to grow GM
potatoes if this improved their output and profitability yet
that tuber moth was not a dire problem to them and that
they were sceptical it about pesticide savings, domestic mar-
ketability, and exportability (Jordaan and Carstens 2007). The survey amongst smallholder farmers, furthermore, con-
cluded that “farmers indicated a range of problems, many
of which might be simply and cost effectively reduced by
means of adopting existing technology to local conditions
and practices” (Hart and Vorster 2006, p. 3). Tuber moth
was mentioned by smallholder farmers as a problem but
other challenges were mentioned much more frequently, like
access to water and transport and damage done by other
pests like millipedes, moles and cutworm. In the interviews with key South African stakeholders,
several other reasons for rejecting the potato were suggested. For instance one scientist highlighted that the genetic modi-
fication was made in Spunta, a potato variety that was not
widely grown by South African farmers (interview 15 April
2016). Potato South Africa had earlier noted that this variety
“is not suitable for processing, so the big food chains would
not use it anyway” (Gosling 2008). And several interviewees
further raised the suspicion that it may have played a role
that no genetically modified potatoes had been allowed at
that time anywhere in the world (interview 7 April 2016;
Pretoria, 11 April 2016; Pretoria, 15 April 2016). As one
interviewee said: “We don’t want to be the first. Who dares
to be the first?” (interview 15 April 2016). i
However, these concerns and the evidence provided for
them did not appear in any official documentation and did
not seem to play a role in the discussions leading up to the
decision, while the Executive Council did provide a list of
other objections in their rejection. GM potatoes This claim effectively challenged
the decision to ex ante assess the socio-economic impact of
genetically modified organisms, claiming that this can only
be done ex post (despite having performed ex-ante socio-
economic evaluations themselves). One civil society organ-
ization fiercely dismissed this proposal, noting that “it is
shameful that the most vulnerable people in our society are
being asked to take on the burden of experimenting with new
and very expensive technology” (Stafford et al. 2008, p. 26). GM potatoes The main concerns were
the potentially negative impact on trade and domestic mar-
ketability, for which industry consultations provided suffi-
cient evidence, and the lack of benefits for smallholder farm-
ers, for which farmer’s surveys provided the most important
evidence. Perhaps it is telling that although it only takes the
objection of one member of the Executive Council for an
application to be rejected, in the case of the GM potato the
Executive Council rejected the application by an unanimous
vote. p
p
The applicants concluded from this that a need for the
GM potato had been proven. In addition, and perhaps in
contradiction, they argued that proper “information on many
of the socio-economic issues can only be collected if the
application is approved” (Thomson et al. 2010), suggesting
that these trials could be conducted with active participation
by South African farmers. This claim effectively challenged
the decision to ex ante assess the socio-economic impact of
genetically modified organisms, claiming that this can only
be done ex post (despite having performed ex-ante socio-
economic evaluations themselves). One civil society organ-
ization fiercely dismissed this proposal, noting that “it is
shameful that the most vulnerable people in our society are
being asked to take on the burden of experimenting with new
and very expensive technology” (Stafford et al. 2008, p. 26). This more fundamental challenge of whether ex ante or
ex post assessments were necessary in the regulatory process
was never responded to, however. The Executive Council
went ahead and included SECs into their decision. Draw-
ing upon the very farmers surveys provided by the ARC,
the Executive Council outright dismissed the applicants’
claims and decided that the benefits of the GM potato were
insufficiently proven. The Executive Council concluded
that commercial farmers did not expect the GM potato to
be very beneficial “as the same spraying regime is required
to manage other pests which this event does not target” (EC The applicants concluded from this that a need for the
GM potato had been proven. In addition, and perhaps in
contradiction, they argued that proper “information on many
of the socio-economic issues can only be collected if the
application is approved” (Thomson et al. 2010), suggesting
that these trials could be conducted with active participation
by South African farmers. 3 Discussion and conclusion This article has investigated both what
SECs are (and are not) included, what evidence is required
for these considerations to be deemed sufficiently credible,
and how these considerations are eventually included in
decision-making. By thus looking at the work that is put into
crafting a regime of regulation in a context where standards
for taking such decisions are lacking, I have identified two
practice-based models for including SECs in biotechnology
decision-making. These can be seen as two sets of practices
by which subjective and politically contentious issues evolve
over time towards more objective and predictable objects
of regulation. The models, which can be labelled are sum-
marized in Table 3. The regulatory regime for SECs are emerging in rather
different ways in Kenya and South Africa. The Kenyan
model is characterized by a sustained effort to define what
counts as a valid socio-economic consideration through a
bottom-up process prior to assessing the first application,
with input from socio-economic experts judging the com-
pleteness and robustness of the information provided, and
with a public consultation to which applicants are invited to
reply. This can be understood as a definitive approach to reg-
ulate new object of concerns—as an attempt to include these
considerations in specified and stable way, sealing the proce-
dure before the first assessment. The South African model is
characterized by a case-to-case assessment by the Executive
Council, that takes into account views from other actors in
an ad hoc manner, and that does not require scientific evi-
dence of socio-economic impacts but instead largely draws
upon farmer surveys and letters by representative organiza-
tions and key stakeholders, thereby establishing regulatory
standards in the process. This can be understood as a tenta-
tive approach to regulate new objects of concerns—as an Even though these standards are not written down any-
where, both regulators, civil society organizations, and
industry organizations seem to know well what considera-
tions are important, when there is enough evidence for those
considerations, and hence what applications do not stand a
chance. In the words of one industry representative: “the
whole potato story, if I can say that, left a mark on the pub-
lic companies” (interview 7 April 2016), a claim that rings
equally true for the malolactic yeast story. Ever since these
applications were rejected, no other applications have been
filed that touched upon either of these issues. Discussion and conclusion This article started by observing that actors around the world
are struggling to ‘open up’ regulatory science to different
types of issues and knowledges (Stirling 2008). The inclu-
sion of socio-economic considerations into biotechnology
decision-making is a case in point. Omitting SECs is deemed
undesirable because limiting decision-making to issues of
risks to human health and the environment does not answer
to widely held societal concerns about the impact of bio-
technology on other aspects of life. Yet including SECs
in the absence of formalized methods for identifying and
assessing what counts as a valid SEC runs the risk of creat-
ing a decision-making process that is both subjective and
unpredictable. The decisions about SECs furthermore lacked transpar-
ency. Like the board of the biosafety authority in Kenya,
the Executive Council in South Africa provides little
insight into how they arrived at their decision. They pub-
lish minutes of their meeting but these generally provide
only little information. The paradoxical outcome of this ad hoc process, how-
ever, is that over the years very clear standards have been
established for what SECs are deemed valid. Genetically
modified organisms will not be allowed on the South Afri-
can market if they adversely impact indigenous biodiver-
sity, potentially endanger exports, are unlikely to realize
proclaimed benefits for smallholder farmers, and if they
are not supported by those that eventually have to sell them
to consumers. And also the evidence required for these
claims is relatively clear, with stakeholder views being
considered as sufficient evidence for assessing ‘if the mar-
kets are ready or not’. As one interviewee told me: “When
someone says they don’t need something, they don’t neces-
sarily need scientific evidence or anything” (interview 4
April 2016). Not all actors fully agreed on either the SECs
included (the ACB and Biowatch argued also the relative
efficacy vis-à-vis non-GMO solutions to improving potato
yields should be considered)) nor on the type of evidence
required (the ARC challenged the need for providing ex
ante assessments). Yet after the yeast and potato decisions,
it was relatively clear for all actors what role SECs play
in decision-making. This article aims to contribute to solving this dilemma
by investigating the way Kenya and South Africa, in prac-
tice, have tried to move beyond the regulation of health and
environmental risks by including SECs in biotechnology
decision-making. South Africa: ad hoc and case‑to‑case The regulation of socio-economic considerations in South
Africa took shape in an ad hoc fashion, on a case-to-case
basis. At first sight this process was less inclusive than in
Kenya and also scientific evidence played a much smaller
role in South Africa. While the different considerations
that were taken into account were certainly fed by con-
cerns that were articulated by a variety of actors in South
Africa, ranging from corporations like McKain to civil
society organizations like the ACB, the decision about
what considerations were and were not taken into account
was exclusively taken by the Executive Council. These
civil servants were accountable to their respective min-
isters and they did not provide clarity to applicants about
what information had to be provided with respect to SECs. f
This more fundamental challenge of whether ex ante or
ex post assessments were necessary in the regulatory process
was never responded to, however. The Executive Council
went ahead and included SECs into their decision. Draw-
ing upon the very farmers surveys provided by the ARC,
the Executive Council outright dismissed the applicants’
claims and decided that the benefits of the GM potato were
insufficiently proven. The Executive Council concluded
that commercial farmers did not expect the GM potato to
be very beneficial “as the same spraying regime is required
to manage other pests which this event does not target” (EC 3 3 How to include socio-economic considerations in decision-making on agricultural… 681 And in contrast to Kenya, the most decisive evidence con-
sisted of non-academic papers (like the farmers’ surveys)
and letters from industry, all of which varied from case
to case, and none of which was subjected to external peer
review to establish the credibility of the claims. Discussion and conclusion Table 3 Emerging regulatory regimes for socio-economic considerations
Kenya
Definitive approach
South Africa
Tentative approach
Inclusion
Establishment procedure
Standard Operating Procedure drafted by NBA staff based on stakeholder
workshop including all stakeholder concerns
Ad hoc case by case assessment by executive committee that occasionally
takes into account stakeholders views
Socio-economic considerations Impact on food security and sustainability, access to the technology, income
to farmers, cost of seeds and other inputs, co-existence, trade implications,
benefits and freedom of choice, biosafety and stewardship
Impact on trade, biodiversity, marketability, and smallholder farmers
Assessment
Responsible actor
NBA board
Executive Council
Provision of evidence
Application in application form, expert reviewer report, comments from
public consultation
Applicant in application form, Executive Council may request other actors fo
additional information
Type of evidence
Peer reviewed scientific studies on Kenya or proxies thereof in case such
studies are not available, report by export reviewer, comments from public
consultation
Public comments and statements by representative organizations and key
stakeholders. Occasionally farmer surveys
Assessment mechanism
Unclear how evidence is weighed and what thresholds are
Clear thresholds for negative impacts have been established through prec-
edents, though unclear how evidence is weighed, though )
Perhaps more than anything else, the Kenyan and South
African practices demonstrate the challenges pioneers face
when translating concerns from subjective and politically
contentious issues into more objective and predictable
objects of regulation. This particularly becomes clear when
observing the similarities between Kenya and South Africa
compared to other countries, particularly Argentina (Falck-
Zepeda and Zambrano 2011; Binimelis and Myhr 2016). Argentina, which has signed but not ratified the Cartagena
Protocol, has limited the assessment of SECs to the potential
impacts on trade, specifically the competitiveness of Argen-
tinean exports (Falck-Zepeda and Zambrano 2011), and its
regulations stipulate that the assessment of these consid-
erations should be conducted by one specific government
agency on the basis of cost–benefit principles (Binimelis
and Myhr 2016). While the exclusive focus on trade and
on a well-established assessment method like cost–benefit
analysis makes it easier for regulatory procedures to become
objective and predictable, this in turn makes it more difficult
to be responsive to the wide range of different considerations
that gave to the societal controversy around GMOs in the
first place. Discussion and conclusion While the pro-
cess through which these standards were established was
marked by substantial uncertainty and unpredictability, the
current situation comes remarkably close to Falck-Zepeda’s
(2009, p. 91) requirements for a system including SECs
where the rules of the game are “transparent, well defined,
protective, and understood by all actors and stakeholders.” 1 3 682 K. Beumer Table 3 Emerging regulatory regimes for socio economic considerations
Kenya
Definitive approach
South Africa
Tentative approach
nclusion
Establishment procedure
Standard Operating Procedure drafted by NBA staff based on stakeholder
workshop including all stakeholder concerns
Ad hoc case by case assessment by executive committee that occasionally
takes into account stakeholders views
Socio-economic considerations Impact on food security and sustainability, access to the technology, income
to farmers, cost of seeds and other inputs, co-existence, trade implications,
benefits and freedom of choice, biosafety and stewardship
Impact on trade, biodiversity, marketability, and smallholder farmers
Assessment
Responsible actor
NBA board
Executive Council
Provision of evidence
Application in application form, expert reviewer report, comments from
public consultation
Applicant in application form, Executive Council may request other actors for
additional information
Type of evidence
Peer reviewed scientific studies on Kenya or proxies thereof in case such
studies are not available, report by export reviewer, comments from public
consultation
Public comments and statements by representative organizations and key
stakeholders. Occasionally farmer surveys
Assessment mechanism
Unclear how evidence is weighed and what thresholds are
Clear thresholds for negative impacts have been established through prec-
edents, though unclear how evidence is weighed, though ongoing process that is prudent and preliminary (Kuhlmann
et al. 2019). References Ad Hoc Technical Expert group on Socioeconomic Considerations
(AHTEG-SEC). 2014. Report of the ad hoc technical expert group
on socioeconomic considerations. UNEP/CBD/BS/AHTEG-
SEC/1/3. Seoul: CBD. African Centre for Biosafety (ACB). 2006. South Africa’s wine
industry threatened by GM grapevine trials. http://acbio.org.za/
south-africas-wine-industry-threatened-by-gm-grapevine-trials/. Accessed 19 Mar 2019.f i
In many ways, creating regulations for socio-economic
considerations is a learning process and these regulatory
practices will therefore undoubtedly continue to evolve over
time. This mirrors the trajectory taken by the regulation of
risks to human health and the environment. These regula-
tions too once emerged from a shared concern—in this case
for human health and the environment—in a context where
consensus over the scope of these concerns and the methods
for assessing them was lacking. The practices of regulating
these risks has only emerged over the course of the last dec-
ades, as consensus slowly emerged over the scope of these
considerations and the types of knowledge that are deemed
credible in assessing them (Luhmann 1993; Boholm 2015). The regulation of SECs is arguably only at an early stage in
this trajectory and subsequently is largely open to change. Ashton, G., G. Baker, M. Mayet, E. Pschorn-Strauss, and W. Stafford. 2004. Objections to application for a permit for additional tri-
als with insect resistant Bt Cry V Genetically Modified Potatoes
(Solanum Tuberosum L. Variety ‘Spunta’G2 and G3). http://acbio
.org.za/wp-content/upload/2015/02/objection_bt_potato_g2_g3. pdf. Accessed 19 Mar 2019. Beumer, K. 2017. Travelling risks. How did nanotechnology become
a risk in India and South Africa? Journal of Risk Research 21
(11): 1362–1383. Binimelis, R., and A.I. Myhr. 2016. Inclusion and implementation of
socio-economic considerations in GMO regulations: Needs and
recommendations. Sustainability 8 (1): 62. Black, V. 2008. Hot potato. GM potatoes in South Africa - a critical
analysis. Johannesburg: ACB. y
g
Boholm, A. 2015. Anthropology and risk. London: Routledge.l Chataway, J., and J. Tait. 1993. Is risk regulation a strategic influence
on decision making in the biotechnology industry? Agriculture
and Human Values 10 (10): 60–67. Identifying these two models for including socio-eco-
nomic considerations into biotechnology decision-making is
therefore both relevant and timely. Many countries currently
intend to take into account SECs but struggle to implement
it as detailed information about practical experiences with
SECs in biotechnology regulation are absent. References It should be
clear that the two models for solving this problem presented
in this article are shaped by the local contexts of Kenya
and South Africa and therefore cannot unproblematically
be copy-pasted to other countries. However, the in-depth
description of the two models, as well as the identification
of distinct tensions in each model, provides insight into two
potential pathways for including SECs into biotechnology
decision-making. This may help policy makers in devising
robust regulations for SECs. Chaturvedi, S., K.R. Srinavas, R.K. Joseph, and P. Singh. 2012. Approval of GM crops. Socio-economic considerations in devel-
oping countries. Economic and Political Weekly 47 (23): 53–61.i Chaturvedi, S., K.R. Srinavas, R.K. Joseph, and P. Singh. 2012. Approval of GM crops. Socio-economic considerations in devel- Approval of GM crops. Socio-economic considerations in devel-
oping countries. Economic and Political Weekly 47 (23): 53–61.i Commissie Genetische Modificatie (COGEM). 2009. Sociaal-econo-
mische aspecten van ggo’s. Bouwstenen voor een EU duurzaam-
heidsbeoordeling van genetisch gemodificeerde gewassen. The
Hague: COGEM.i Commissie Genetische Modificatie (COGEM). 2014. Report—Inter-
national workshop on a socio-economic assessment framework
for GMOs. https://www.cogem.net/showdownload.cfm?objec
tId=0D11C206-1517-64D9-CC263B30A61B4F01&objectType
=mark.hive.contentobjects.download.pdf. Accessed 19 Mar 2019. Conference of Parties serving as the meeting of the Parties to the Pro-
tocol (COP-MOP). 2008. Socio-economic considerations (Article
26, Paragraph 2). UNEP/CBD/BS/COP-MOP/4/15 17 Mar 2008. De Vries, G., I. Verhoeven, and M. Boeckhout. 2011. Taming uncer-
tainty: The WRR approach to risk governance. Journal of Risk
Research 14 (4): 485–499. Douches, D.S., et al. 2002. Development of Bt-cry5 insect resistant
potato lines Spunta-G2 and Spunta G3. Horticultural Science 37
(7): 1103–1107. Acknowledgements I would like to thank Dorington Ogoyi and Hennie
Groenewald for their invaluable support during the fieldwork. Also I
would like to thank Sjaak Swart for his valuable comments and support,
as well as the participants of the various ERAfrica workshops and the
4S conference in Boston, and the S.NET conference in Bergen. The
paper has been developed under the project titled ‘Addressing societal
challenges of biotechnology in Africa. Towards balanced innovation’,
funded by ERAfrica. Falck-Zepeda, J.B. 2009. Socio-economic considerations, Article 26.1
of the Cartagena Protocol on Biosafety: What are the issues and
what is at stake? AgBioForum 12 (1): 90–107. Falck-Zepeda, J.B., and P. Zambrano. 2011. Socio-economic consid-
erations in biosafety and biotechnology decision making: The
Cartagena Protocol and national biosafety frameworks. Review
of Policy Research 28 (2): 171–195. Funding Funding was provided by Nederlandse Organisatie voor
Wetenschappelijk Onderzoek. Discussion and conclusion The regulatory practice in both Kenya and South
Africa instead have dedicated places for societal actors to
raise concerns and contribute evidence, and both countries
subsequently consider a much broader spectrum of socio-
economic impacts, thereby being more responsive to consid-
erations raised by various societal actors. The two practice-
based models reflect different strategies for dealing with this. lf
The analysis shows that the two models produce distinct
tensions. While the Kenyan ‘definitive model’ contains dif-
ferent moments for stakeholder inclusion, the lack of trans-
parency over how SECs are weighed into the decision-mak-
ing results in a lack of clarity as to what voices matter. And
while there are high standards to ensure the credibility of the
information provided, which in the long term may be a com-
mendable aim for creating objective regulations, in practice
the emphasis on peer reviewed scientific publications cannot
be realistically adhered to and does not specify the kinds of
studies that are deemed best suited for the concerns in ques-
tion. And finally, while formalizing the procedure prior to
the first assessment may increase the predictability of the
regulatory procedure, this also runs the risk of obscuring
the way conflicts over conflicting concerns are contested. In
the South African ‘tentative model’, on the other hand, clear
standards and thresholds have emerged regarding negative
socio-economic impacts but there is uncertainty about both
what new issues may emerge in the future and about what
thresholds are operated in cases where distinct negative and
positive socio-economic impacts have to be weighed. And
while the pragmatic reliance on statements by key stakehold-
ers provides valuable information for the cases assessed, it Table 3 Emerging regulatory regimes for socio-economic considerations 1 3 How to include socio-economic considerations in decision-making on agricultural… 683 is unlikely that this type of evidence is sufficient in cases
where the socio-economic impact of new crops is unclear
or contested. These tensions can serve as lessons for other
countries aiming to include socio-economic considerations
into biotechnology decision-making, highlighting that regu-
lations for SECs can be made objective and predictable in
diverging ways, each with distinct benefits and drawbacks. References Journal of Public Affairs 5 (3–4): 299–311.f Stabinsky, D. 2000. Bringing social analysis into a multilateral envi-
ronmental agreement: Social impact assessment and the Biosafety
Protocol. Journal of Environment & Development 9 (3): 260–283.f f
Jasanoff, S. 2005. Designs on nature: Science and democracy in Europe
and the United States. Princeton: Princeton University Press.i Stafford, W., H. Swanby, and M. Mayet. 2008. Objections by African
Centre for Biosafety iro application for general release of geneti-
cally modified potato made by the Agricultural Research Council
(ARC). Johannesburg: ACB. Jordaan, A.J., and J.P. Carstens. 2007. Potential economic benefits of
a genetically modified (GM) tuber moth-resistant potato variety
in South Africa: An ex-ante socio-economic evaluation for com-
mercial producers. Pretoria and Bloemfontein: ARC-LNR and
University of the Free State. Stirling, A. 2008. “Opening up” and “closing down”. Power, participa-
tion, and pluralism in the social appraisal of technology. Science,
Technology and Human Values 33 (2): 262–294. Jordan, B. 2006. Genetically engineered grapes have South Africa’s
wine producers alarmed. Sunday Times. https://www.organiccon
sumers.org/news/genetically-engineered-grapes-have-south-afric
as-wine-producers-alarmed. Accessed 19 Mar 2019.l Tepfer, M., M. Racovita, and W. Craig. 2013. Putting problem formu-
lation at the forefront of GMO risk analysis. GM Crops & Food
4 (1): 10–15. Kerr, W.A., et al. 2014. Conflicting rules for the international trade of
GM products: Does international law provide a solution? AgBi-
oForum 17 (2): 105–122. Thomson, J.A., D.N. Shepherd, and H.D. Mignouna. 2010. Develop-
ments in agricultural biotechnology in sub-Saharan Africa. AgBi-
oForum 13 (4): 314–319. Kinchy, A.J. 2010. Anti-genetic engineering activism and scientized
politics in the case of “contaminated” Mexican maize. Agriculture
and Human Values 27 (4): 505–517. Wafula, J.S. 1995. State of the art biotechnology and biosafety in
Kenya. African Crop Science Journal 3 (3): 277–280. Kinchy, A., D.L. Kleinman, and R. Autry. 2008. Against free markets,
against science? Regulating the socio-economic effects of biotech-
nology. Rural Sociology 73 (2): 147–179. World Trade Organization (WTO). 1995. The WTO Agreement on the
application of Sanitary and Phytosanitary Measures (SPS Agree-
ment). Geneva: WTO. Kleinman, D.L., and A.J. Kinchy. 2007. Against the neoliberal steam-
roller? The Biosafety Protocol and the social regulation of agri-
cultural biotechnologies. Agriculture and Human Values 24 (2):
195–206. Wynne, B. 2001. Creating public alienation: Expert cultures of risk and
ethics on GMOs. Science as Culture 10 (4): 445–481. Wynne, B. 2005. Risk as globalizing ‘democratic’ discourse? Framing
subjects and citizens. References Falck-Zepeda, J.B., J. Wesseler, and S.J. Smyth. 2013. The current
status of the debate on socio-economic regulatory assessments:
Positions and policies in Canada, the USA, the EU and developing
countries. World Review of Science, Technology and Sustainable
Development 10 (4): 203–227. Open Access This article is distributed under the terms of the Crea-
tive Commons Attribution 4.0 International License (http://creativeco
mmons.org/licenses/by/4.0/), which permits unrestricted use, distribu-
tion, and reproduction in any medium, provided you give appropriate
credit to the original author(s) and the source, provide a link to the
Creative Commons license, and indicate if changes were made. Fransen L et al. 2005. Integrating socio-economic considerations into
biosafety decisions. The role of public participation. WRI White
Paper. Washington D.C.: WRI. 1 3 684 K. Beumer Gosling, M. 2008. Farmers oppose GM potatoes. IOL News. http://
www.iol.co.za/news/south-africa/farmers-oppose-gm-potatoes-
416704. Accessed 19 Mar 2019. Porter, T.M. 1996. Trust in numbers: The pursuit of objectivity in sci-
ence and public life. Princeton: Princeton University Press. RAEIN-Africa. 2012. Socio-economic impacts of living modified
organisms in agriculture. Towards and assessment guideline. Windhoek: RAEIN-Africa. Government of Kenya. 2011. Biosafety Act. http://faolex.fao.org/docs/
pdf/ken89675.pdf. Hall, D.R. 2008. GMO potatoes. http://acbio.org.za/wp-content/uploa
ds/2015/02/mcdonalds.pdf. Accessed 19 Mar 2019.i Republic of South Africa. 2007. Government Gazette 501 (29803). http://www.gov.za/sites/www.gov.za/files/a23-06_0.pdf. Accessed
19 Mar 2019. Hall, C., and D. Moran. 2003. Cost benefit analysis of GM crops in
Scotland. Part one: outlining scenarios and categorizing costs and
benefits for valuation. Paper presented at 77th AES Annual Con-
ference, April 11–14, in Plymouth. Rosendal, G.K., and A.I. Myhr. 2009. GMO assessment in Norway:
Social utility and sustainable development. EMBO Reports 10
(9): 939–940. p
y
Hart, T.G.B., and H.J. Vorster. 2006. Smallholder potato production
activities in South Africa: A socio-economic and technical assess-
ment of five cases in three provinces. Pretoria: HSRC and ARC
LNR. Scoones, I. 2008. Mobilizing against GM crops in India, South Africa
and Brazil. Journal of Agrarian Change 8 (2–3): 315–344. Secretariat of the Convention on Biological Diversity. 2000. Cartagena
protocol on biosafety to the convention on biological diversity. Montreal: CBD. Husnik, J.I., et al. 2006. Metabolic engineering of malolactic wine
yeast. Metabolic Engineering 8 (4): 315–323.f Secretariat of the Convention on Biological Diversity. 2003. The
Cartagena protocol on biosafety: A record of the negotiations. Montreal: CBD. Jaffe, G. 2005. Implementing the Cartagena Biosafety Protocol through
national biosafety regulatory systems: an analysis of key unre-
solved issues. References In Science and citizens: globalization and
the challenge of Engagement, ed. M. Leach, I. Scoones, and B. Wynne, 66–82. London: Zed Books. Kuhlmann, S., P. Stegmaier, and K. Konrad. 2019. The tentative gov-
ernance of emerging science and technology – a conceptual intro-
duction. Research Policy 48 (5): 1091–1097. Levidow, L., and S. Carr. 1997. How biotechnology regulation sets
a risk/ethics boundary. Agriculture and Human Values 14 (1):
29–43. Publisher’s Note Springer Nature remains neutral with regard to
jurisdictional claims in published maps and institutional affiliations. Publisher’s Note Springer Nature remains neutral with regard to
jurisdictional claims in published maps and institutional affiliations. Ludlow, K., S.J. Smyth, and J.B. Falck-Zepeda. 2014. Socio-economic
considerations in biotechnology regulation. New York: Springer. Koen Beumer is an assistant professor at the Copernicus Institute of
Sustainable Development, Utrecht University. His research focuses
on the societal implications of emerging sciences and technologies,
especially in relation to questions of development in India and Africa. Luhmann, N. 1993. Risk: A sociological theory. New York: Aldine
de Gruyter. National Biosafety Authority (NBA). 2013. Report of the socio-eco-
nomic workshop held on 11th–12th July 2013 at the Red Court
Hotel, Nairobi. Nairobi, NBA. 1 3
|
https://openalex.org/W3210321740
|
https://ruc.udc.es/dspace/bitstream/2183/29351/3/Pereira-Ruisanchez_Dariel_2021_Deep_Learning-Based_Strategy.pdf
|
English
| null |
A Deep Learning-Based Strategy to Predict Self-Interference in SFN DTT
| null | 2,021
|
cc-by
| 1,968
|
Keywords: SFN; deep learning; broadcasting; self-interference Citation: Pereira-Ruisánchez, D.;
Pérez-Adán, D.; Castedo, L. A Deep
Learning-Based Strategy to Predict
Self-Interference in SFN DTT. Eng. Proc. 2021, 7, 57. https://doi.org/
10.3390/engproc2021007057 Proceeding Paper
A Deep Learning-Based Strategy to Predict Self-Interference in
SFN DTT † , Darian Pérez-Adán
and Luis Castedo Dariel Pereira-Ruisánchez * Pereira-Ruisánchez *
, Darian Pérez-Adán
and Luis Castedo Department of Computer Engineering & CITIC Research Center, University of A Coruña, Campus de Elviña S/N,
15071 A Coruña, Spain; d.adan@udc.es (D.P.-A.); luis.castedo@udc.es (L.C.)
* Correspondence: d.ruisanchez@udc.es
† Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021. Department of Computer Engineering & CITIC Research Center, University of A Coruña, Campus de Elviña S/N,
15071 A Coruña, Spain; d.adan@udc.es (D.P.-A.); luis.castedo@udc.es (L.C.)
* Correspondence: d.ruisanchez@udc.es
† Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021. Department of Computer Engineering & CITIC Research Center, University of A Coruña, Campus de Elviña S/N,
15071 A Coruña, Spain; d.adan@udc.es (D.P.-A.); luis.castedo@udc.es (L.C.)
* Correspondence: d.ruisanchez@udc.es
† Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021. Department of Computer Engineering & CITIC Research Center, University of A Coruña, Campus de Elviña S/N,
15071 A Coruña, Spain; d.adan@udc.es (D.P.-A.); luis.castedo@udc.es (L.C.)
* Correspondence: d.ruisanchez@udc.es
† Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021. Abstract: A deep learning-based strategy for the analysis of the self-interference in single frequency
networks (SFNs) for digital terrestrial television (DTT) broadcasting is considered. Several laboratory
measurements were performed to create a dataset that relates the self-interference parameters and
some quality metrics of the resulting received signal. The laboratory setup emulates an SFN scenario
with two DTT transmitters. The strongest received signal and the relative values of attenuation and
delay between the signals stand for the input parameters. The modulation error ratio (MER) of the
strongest received signal, the MER of the resulting signal, and the SFN gain (SFNG) are the output
parameters. This dataset is used to train four different multi-layer perceptron (MLP) models to
predict accurate maps of interference and signal quality metrics. The considered models are suitable
as complements for any multiple frequency network (MFN) coverage software with the capability to
return the signal strength and the position data. This way, the SFN self-interference behavior can be
predicted by considering only a proper description of the MFN coverage. 1. Introduction The remarkable growth of mobile services and wireless communication technologies
has led to a revision of the way the available spectrum bands are allocated. In digital
terrestrial television (DTT) broadcasting, the spectral efficiency achieved with multiple
frequency networks (MFNs) is significantly improved when moving to single frequency
networks (SFNs). Furthermore, the deployment of SFNs leads to a more homogeneous
distribution of the electric-field strength in the coverage area and to savings in transmission
power [1]. In previous works, self-interference in SFNs is only considered when the interfering
signals arrive with a delay longer than the guard interval. However, this only represents a
critical scenario where the interference is mostly destructive. Signals arriving within the
guard interval also produce self-interference, and it can be either constructive or destructive. The effect of this kind of interference is called SFN gain (SFNG) and it must be properly
controlled to obtain a good performance in SFN systems [2–4]. Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
published maps and institutional affil-
iations. Several network planning strategies based on deep learning (DL) algorithms are
being considered as a reasonable alternative for the configuration of broadcasting systems. These strategies allow reducing the computational complexity of theoretical models and
the planning cost of the field-testing-based approaches [5–7]. The predictive capability
of DL algorithms and the lack of works about using them for SFN interference analyses
have motivated this research. The major contributions of this work can be summarized
as follows: Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article
distributed
under
the
terms
and
conditions of the Creative Commons
Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ https://www.mdpi.com/journal/engproc Eng. Proc. 2021, 7, 57. https://doi.org/10.3390/engproc2021007057 Eng. Proc. 2021, 7, 57 2 of 4 •
The development of a laboratory test-based dataset that relates the parameters of the
received signals to several metrics of interference and signal quality. •
The development of a laboratory test-based dataset that relates the parameters of the
received signals to several metrics of interference and signal quality. g
g
q
y
•
The implementation of deep learning-based models to predict the interference and
the resulting signal quality metrics. •
The implementation of deep learning-based models to predict the interference and
the resulting signal quality metrics. 2. Dataset and Proposed Deep Learning-Based Models The proposed laboratory setup emulates an SFN scenario with two interfering trans-
mitters. The interfering signals were generated by using a Broadcast Test Center (BTC) from
Rohde and Schwarz and the signal quality metrics were measured by using the S7000 TV
Analyzer professional receiver. The electric-field strength of the main signal (EMainSignal),
and the values of Attenuation and Delay of the secondary signal, were configured to emulate
self-interference scenarios. These parameters are the input features in the proposed dataset. The modulation error ratio (MER) was the metric employed to quantify the signal quality. The measured values of modulation error ratio (MER) of both the main signal (MERMFN)
and the resulting received signal (MERSFN) are output features. The SFN gain (GSFN) is
the third output feature, which is calculated as the difference between the MERSFN and
the MERMFN parameters. p
p
p
p
The modulation error ratio (MER) was the metric employed to quantify the signal quality. The measured values of modulation error ratio (MER) of both the main signal (MERMFN)
and the resulting received signal (MERSFN) are output features. The SFN gain (GSFN) is
the third output feature, which is calculated as the difference between the MERSFN and
the MERMFN parameters. p
The resulting dataset was employed to train four multi-layer perceptron (MLP) models
by using a supervised-learning strategy (Table 1). The first models are regression models;
thus, they were trained to predict the exact values of their respective output features. The last one is a binary classification model and it was trained to predict whether the
value of GSFN is positive or negative. Positive GSFN values stand for the cases where the
received signal improves when moving to SFN while the negative values correspond to a
signal degradation. Table 1. Proposed deep learning-based models. MLP Models
Output Feature
Type
MLP_MfnMER
MERMFN
Regression
MLP_SfnMER
MERSFN
Regression
MLP_SfnG
GSFN
Regression
MLP_SfnGclass
GclassSFN
Classification Table 1. Proposed deep learning-based models. 3. Results Table 2 summarizes the accuracy values obtained by employing the proposed regres-
sion models. The coefficient of determination (R2), the mean absolute error (MAE), the
mean square error (MSE) and the root mean square error (RMSE) are the metrics used to
measure the performance. A lower accuracy is obtained with the MLP_SfnG model since
the correspondence between GSFN and the input features cannot be easily determined. Table 2. Performance metrics of the regression models. MLP Models
R2
MAE
MSE
RMSE
MLP_MfnMER
0.998
0.159
0.036
0.191
MLP_SfnMER
0.997
0.134
0.041
0.203
MLP_SfnG
0.909
0.151
0.049
0.221 Table 2. Performance metrics of the regression models. In Figure 1, the predicted values are plotted versus the measured values. As expected,
a higher dispersion can be observed in the GSFN predictions because the performance of
this model is lower than the others. Some dispersion can also be observed in the edge
values of the parameters due to the instrument measuring ranges. Figure 2 shows the confusion matrix for the MLP_SfnGclass classification model. From the 317 samples considered for the validation process, the 91.5% were well predicted Eng. Proc. 2021, 7, 57 3 of 4 (184 true negatives and 106 true positives). The remaining 8.5% of the predictions were
either false positives or false negatives. 18
20
22
24
26
28
30
18
20
22
24
26
28
30
MERMFN measurements (dB)
MERMFN predictions (dB)
(a)
18
20
22
24
26
28
30
18
20
22
24
26
28
30
MERSFN measurements (dB)
MERSFN predictions (dB)
(b)
−2
−1
0
1
2
3
4
−2
−1
0
1
2
3
4
GSFN measurements (dB)
GSFN predictions (dB)
(c)
Figure 1. Predicted values versus measured values of (a) MERMFN, (b) MERSFN and (c) GSFN. −2
−1
0
1
2
3
4
−2
−1
0
1
2
3
4
GSFN measurements (dB)
GSFN predictions (dB)
(c) 18
20
22
24
26
28
30
18
20
22
24
26
28
30
MERSFN measurements (dB)
MERSFN predictions (dB)
(b) 18
20
22
24
26
28
30
18
20
22
24
26
28
30
MERMFN measurements (dB)
MERMFN predictions (dB)
(a) (b) (c) Figure 1. Predicted values versus measured values of (a) MERMFN, (b) MERSFN and (c) GSFN. Figure 2. Confusion matrix of the MLP_SfnGclass model. Figure 2. Confusion matrix of the MLP_SfnGclass model. Figure 2. Confusion matrix of the MLP_SfnGclass model. 4. Conclusions This paper proposes a deep learning-based strategy to analyze the self-interference
in SFNs for DTT broadcasting. Unlike most planning-oriented researches, interference in
SFNs is analyzed over the entire overlapping area and not only in critical cases where delays
are especially long. A dataset obtained from laboratory measurements is employed to train
four MLP models for predicting signal quality parameters in an SFN DTT deployment. The prediction results exhibit the high degree of relation between the received signal’s
parameters and the resulting signal quality. The proposed dataset and the MLP models
are suitable for any SFN interference analysis since this approach is not limited to specific
terrain or transmission variables. Author Contributions: Conceptualization, formal analysis, investigation, visualization and writing
original draft, D.P.-R. and D.P.-A.; writing—review and editing original draft, D.P.-R., D.P.-A. and
L.C.; project administration and funding acquisition, L.C. Funding: This work has been funded by the Xunta de Galicia (by grant ED431C 2020/15, and grant
ED431G2019/01 to support the CITIC, Centre for Information and Communications Technology
Research, from the University System of Galicia), the Agencia Estatal de Investigación of Spain (by
grants RED2018-102668-T and PID2019-104958RB-C42) and ERDF funds of the EU (FEDER Galicia
2014–2020 & AEI/FEDER Programs, UE), and the predoctoral grant BES-2017-081955. Institutional Review Board Statement: Not applicable. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: The dataset used to train the deep learning-based models is publicly
available at https://github.com/DarielPereira/SFN_Dataset.git (accessed on 30 September 2021). Conflicts of Interest: The authors declare no conflict of interest. Eng. Proc. 2021, 7, 57 4 of 4 2.
Plets, D. On the Methodology for Calculating SFN Gain in Digital Broadcast Systems. IEEE Trans. Broadcast. 2010, 56, 331–339.
[CrossRef] 3.
Plets, D.; Joseph, W.; Angueira, P.; Arenas, J.A.; Verloock, L.; Martens, L. SFN gain in broadcast networks. In Proceedings
of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Nuremberg, Germany,
8–10 June 2011. 1.
Mattson, A. Single frequency networks in DTV. IEEE Trans. Broadcast. 2005, 51, 413–422. [CrossRef] References [
]
3. Plets, D.; Joseph, W.; Angueira, P.; Arenas, J.A.; Verloock, L.; Martens, L. SFN gain in broadcast networks. In Proceedings
of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Nuremberg, Germany,
8–10 June 2011. J
4. Ruisánchez, D.P. Estudio de la interferencia mutua en SFN para DTMB. RIELAC 2020, 41, 73–88. J
4. Ruisánchez, D.P. Estudio de la interferencia mutua en SFN para DTMB. RIELAC 2020, 41, 73–88. ,
p
,
,
5. Moreta, C.E.G. Prediction of Digital Terrestrial Television Coverage Using Machine Learning Regression. IEEE Trans. Broadcast. 2019, 65, 702–712. [CrossRef] 5. Moreta, C.E.G. Prediction of Digital Terrestrial Television Coverage Using Machine Learning Regression. IEEE Trans. Broadcast. 2019, 65, 702–712. [CrossRef] 7. Kibria, M.G. Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networks. IEEE
Access 2018, 6, 32328–32338. [CrossRef]
|
https://openalex.org/W2969637735
|
https://europepmc.org/articles/pmc6769464?pdf=render
|
English
| null |
Creatine for the Treatment of Depression
|
Biomolecules
| 2,019
|
cc-by
| 17,203
|
Received: 31 July 2019; Accepted: 21 August 2019; Published: 23 August 2019 Abstract: Depressed mood, which can occur in the context of major depressive disorder, bipolar
disorder, and other conditions, represents a serious threat to public health and wellness. Conventional
treatments are not effective for a significant proportion of patients and interventions that are often
beneficial for treatment-refractory depression are not widely available. There is, therefore, an immense
need to identify novel antidepressant strategies, particularly strategies that target physiological
pathways that are distinct from those addressed by conventional treatments. There is growing
evidence from human neuroimaging, genetics, epidemiology, and animal studies that disruptions in
brain energy production, storage, and utilization are implicated in the development and maintenance
of depression. Creatine, a widely available nutritional supplement, has the potential to improve
these disruptions in some patients, and early clinical trials indicate that it may have efficacy as an
antidepressant agent. Keywords: major depressive disorder; bipolar disorder; creatine; phosphocreatine Brent M. Kious 1,*, Douglas G. Kondo 1,2 and Perry F. Renshaw 1,2 2
George E. Wahlen Veterans Affairs Medical Center, 500 Foothill Drive, Salt Lake City, UT 84148, USA
*
Correspondence: brent.kious@hsc.utah.edu; Tel.: +1-801-585-1418
biomolecules Review Biomolecules 2019, 9, 406; doi:10.3390/biom9090406 www.mdpi.com/journal/biomolecules 1. Introduction Major depressive disorder (MDD) and associated syndromes, such as dysthymic disorder and
bipolar depression, impact a substantial fraction of children and adults globally. Despite the widespread
availability and utilization of conventional antidepressants such as the selective serotonin reuptake
inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs), roughly 53% of persons
with depression fail to respond to an initial trial of those medications [1], and as much as 35% of
patients do not respond to multiple trials of different antidepressants [2]. Therapies that may be
beneficial for treatment-refractory depression, such as electroconvulsive therapy or ketamine, are not
widely available [3]. Most conventional antidepressants alter the release or reuptake of the monoamine
neurotransmitters serotonin, norepinephrine, and dopamine. The limited efficacy of conventional
antidepressants and the limited availability of more novel treatments with different mechanisms
together demonstrate a crucial need to identify antidepressant interventions with different mechanisms
of action which also have the potential to be accessible to many patients. Although recently much work in the pharmacological treatment of depression has been devoted
to studying the potential of medications that alter the activity of the glutamatergic system—especially,
the anesthetic agent ketamine and its enantiomer esketamine, which are potent antagonists of the
N-methyl-D-aspartic acid (NMDA) glutamatergic receptor [4,5]—other physiologic pathways may
also contribute to the development of depression. In particular, as we review below, there is growing
evidence that both unipolar and bipolar depression involve alterations in the regulation of brain energy
stores, which could produce depression, or limit antidepressant response, by several routes. As a
result of this research, a number of investigators have begun to examine the antidepressant potential of
compounds that could improve brain bioenergetics—that is, the processes of brain energy storage, Biomolecules 2019, 9, 406; doi:10.3390/biom9090406 www.mdpi.com/journal/biomolecules www.mdpi.com/journal/biomolecules 2 of 25 Biomolecules 2019, 9, 406 transport, and utilization. In particular, there has been increasing interest in the possible antidepressant
efficacy of creatine (N-aminoiminomethyl-N-methylglycine). In what follows, we review the evidence
that altered brain bioenergetics contribute to the pathogenesis of some cases of depression and to
limitations on response to conventional antidepressants, examine the pharmacological properties of
creatine relevant to its use as an antidepressant agent, examine pre-clinical evidence from animal
studies and studies of healthy (non-depressed) humans that pertain to its potential antidepressant
efficacy, and consider the limited but growing cadre of clinical studies that have examined creatine for
the treatment of depression. 2.1. Creatine Biochemistry as it Pertains to Depression Although the basic biochemistry of creatine is reviewed elsewhere in this issue (CITE), we will
highlight a few facts that are pertinent to its possible role in the treatment of depression. Creatine
is an organic acid that is synthesized from the amino acids arginine, glycine, and methionine. It is
also derived from diet, particularly from foods containing meat and fish [8]. It is synthesized in
brain to a limited degree, but brain levels are primarily maintained by active transport from the
serum via the sodium- and chloride-dependent creatine transporter SLC6A8 [9,10]. The brain is an
energetically demanding organ and accounts for approximately 20% of body energy consumption
at rest, even though it accounts for roughly 2% of body mass [11,12]. The best-characterized role of
creatine in energy metabolism is as an energy buffer: creatine is converted to phosphocreatine (PCr) by
the creatine kinase reaction, thereby storing energy in a more stable form than is provided by adenosine
triphosphate (ATP) [13]. The creatine kinase reaction occurs in muscles as well as in the brain [13]. Creatine also serves as an “energy shuttle,” as its more rapid rate of intracellular diffusion compared
to ATP means that it is able to more efficiently transport energy from sites where it is synthesized
(e.g., mitochondria) to sites where it is utilized (e.g., the neuronal membrane) along a concentration
gradient [8,14]. Creatine kinase is most extensively expressed in brain regions that exhibit higher levels
of activity, such as the hippocampus and cerebellum [15]. 1. Introduction This topic has previously been reviewed elsewhere [6,7]; the current review
adds to these excellent papers in that it encompasses more information about neuroimaging findings
in depression that indicate the presence of bioenergetics deficits, considers additional background
pertaining to the role of hypoxia in the production of depression, and examines the results of the
relevant clinical studies in more detail. 2. Methods For this review, we identified empirical studies published in peer-reviewed journals in English
using several search engines (PubMed, PsycINFO, and Google Scholar) encompassing publication
dates up to June 30, 2019. The following initial search parameters were used: depression creatine OR
major depressive disorder creatine OR bipolar creatine OR suicide creatine. The initial search revealed
733 records which were manually screened for relevance and duplication by the first author, leaving
112 records. Additional studies of relevance were identified through review of the reference lists of the
studies identified in the initial search. 2.2. Animal Studies of Depression-Like Behavior Ovariectomized rats who received estradiol exhibited significantly fewer depressive symptoms
than ovariectomized rats who received vehicle only. The investigators also found that creatine at
both the 2% and 4% by weight doses reduced depressive behaviors in the ovariectomized rats who
received estradiol and progesterone compared to no creatine; this effect was not observed in the other
groups [20]. These studies of the antidepressant effects of creatine in animal models are supported by others
that indicate that creatine and phosphocreatine levels are altered in animal models of depression. Using proton magnetic resonance spectroscopy (1H MRS), Kim et al. showed that mice exposed to
the forced swim test exhibited reduced total creatine (creatine + phosphocreatine) levels in the left
dorsolateral prefrontal cortex; this reduction was corrected by treatment with the tricyclic antidepressant
desipramine [21]. Other studies of animal models of depression and chronic stress also tend to show
reduced brain creatine concentrations. Rats exposed acutely to the forced swim test plus restraint
stress and ether exhibit reduced creatine in the frontal cortex [22], including in the medial prefrontal
cortex as measured by 1H MRS [23]. A social isolation model of depression, in which rats are reared in
isolation from conspecifics for 8 weeks, showed that they exhibited reduced hippocampal (though not
cortical) phosphocreatine, along with glutamate and glutamine, coupled with reductions in antioxidant
enzymes and increases in brain levels of hydrogen peroxide [24]. Male tree shrews subjected to
chronic social defeat stress (another model of depression) exhibited on average a 15% reduction in
cerebral total creatine levels, which was associated with reductions in neurogenesis measured by
immunohistochemistry for BrdUrd. These changes were prevented by treatment with tianeptine,
a tricyclic antidepressant [25]. Other, similarly-designed studies using the social defeat stress model
in tree shrews have also found reductions in cerebral creatine, which are attenuated by a variety of
potential antidepressant compounds [26–29]. A large series of animal studies conducted by Rodriques and collaborators and designed to
ascertain the mechanisms underpinning creatine’s antidepressant activity for rats in the tail suspension
test (TST) also indicate that creatine has an antidepressant effect. These studies suggest that creatine
may, in addition to its role in energy storage, function as a neurotransmitter. Almeida et al. 2.2. Animal Studies of Depression-Like Behavior Animal studies clearly indicate the essential role of creatine, phosphocreatine, and the creatine
kinase system in the regulation of behavior and in brain development [16,17], and have provided
compelling evidence of the antidepressant effect of creatine. Allen et al. [18] evaluated the effect
of creatine supplementation on depression-like behavior, measured via the forced swim test (FST),
in rats. In their studies, the wire suspension test (WST) was used to control for motor ability. In one
experiment, 30 female rats were given either no creatine, 2% creatine by weight, or 4% creatine by
weight. In another experiment, 36 male rats were exposed to the same dietary protocols and behavioral
tests. Female rats receiving 4% creatine exhibited significantly longer latency to immobility on the
FST than controls, suggesting reduced depression-like behavior, though there was no difference 3 of 25 Biomolecules 2019, 9, 406 between groups in the WST. Surprisingly, male rats maintained on 4% creatine showed reduced time
to immobility and increased immobility in the FST, and again no difference in the WST. In a later
study, the investigators used a similar protocol to assess the impact of creatine supplementation on
response to the antidepressant fluoxetine. They found that female rats maintained on 4% creatine
by weight for 5 weeks exhibited reduction in depressive behavior on the FST, and that the addition
of creatine to fluoxetine enhanced the antidepressant effect of fluoxetine. Analysis of estrous cycle
data for the animals indicated that ovarian hormones likely affected the response to creatine, with the
antidepressant effects in females occurring in the proestrous and estrous phases [19]. To further
explore the effect of gonadal hormones on creatine’s antidepressant efficacy, Allen and colleagues later
conducted two related experiments. In the first experiment, male rats underwent either gonadectomy
or sham surgery. Gonadectomized rats were then implanted with a supplemental testosterone capsule
or an empty capsule. Sham-treated males did not demonstrate any significant change in performance
on the FST with creatine supplementation, while gonadectomized males who received testosterone
exhibited a non-significant trend toward reduced depressive behavior on the FST with increasing doses
of creatine, and gonadectomized males who did not receive testosterone exhibited a non-significant
trend toward worsening depressive behavior on the FST with increasing creatine doses. In the second
experiment, female rats were either ovariectomized or sham-treated; a subset of those who were
ovariectomized were treated with either estradiol, progesterone, the combination, or sesame oil vehicle
only. 2.2. Animal Studies of Depression-Like Behavior [30] found
that radiolabeled creatine is released from stimulated brain tissue in a fashion that appeared consistent
with action-potential dependence—for instance, creatine was not released if the culture medium lacked
calcium, which is necessary for the degranulation of synaptic vesicles. It has also been found that
the antidepressant-like effect of exogenous creatine in mice in the TST is blocked by compounds that
inhibit PKA, PKC, CAMK-II, and MEK1/2, a group of protein kinases that have been implicated in 4 of 25 Biomolecules 2019, 9, 406 depression, suggesting that the antidepressant effect of creatine is mediated by these pathways [31]. The group later showed that the antidepressant effect of creatine in the TST was blocked by compounds
that inhibit PI3K, such as wortmannin and rapamycin, indicating that its antidepressant effect involves
Akt, mTOR, and GSK3, among other intracellular signals [32]. In a related study, they found that the
effect of creatine in the TST in rats exposed to corticosterone was similar to that of ketamine (a novel
antidepressant), and that these effects were reduced for both compounds by substances that targeted
the PI3K/Akt and mTOR pathways [33,34]. These intracellular signals have been implicated in the
pathogenesis of depression [35,36], potentially because of their effects on synaptic sprouting, mediated
by BDNF [37]. Creatine may interact with other neurotransmitter systems, such as the monoamines and adenosine. The antidepressant effect of creatine in the TST is blocked by compounds that inhibit serotonin
synthesis [38], and enhanced by co-administration with SSRIs like fluoxetine [38]. Likewise, haloperidol
and other dopamine receptor antagonists reduce the anti-immobility effect of creatine in the TST,
while this effect is enhanced by co-administration with dopaminergic compounds such as bupropion [39],
implying that creatine may interact with the dopaminergic system. The antidepressant effect of creatine
in a rodent model is also attenuated by compounds that block adenosine receptors, and enhanced by
compounds that agonize those receptors [40,41]; adenosine receptors, too, have been implicated in the
etiology of depression [42]. Finally, creatine may contribute to an antidepressant response by reducing oxidative and nitrosative
stress. It has been observed that creatine can reduce glutamate-induced neuronal excitotoxicity, as it
reduced the production of reactive oxygen species and mono-nitrogen oxides; this ability appeared to be
dependent on its antioxidant effect, as it also reduced the effects of exposure to hydrogen peroxide [43]. 2.3. Altered Brain Bioenergetics in Human Depression 2.3. Altered Brain Bioenergetics in Human Depression 2.3. Altered Brain Bioenergetics in Human Depression Hibbeln and colleagues [56] found, in a sample of 9668 male participants in the Avon Longitudinal
Study of Parents and Children, that persons with vegetarian diets (n = 350) had greater depression
scores (on the Edinburgh Postnatal Depression Scale or EPDRS) and a greater risk of clinically significant
depressive symptoms (EPDRS total score >= 10) than those with omnivorous diets, after adjusting
for sociodemographic confounds. In a related study involving both men and women [57], however,
there was no association between a vegetarian diet and developing clinically significant depressive
symptoms on the EPDRS, defined in this case as scores > 12. Similarly, Jin et al. [58] noted that
vegetarians in a sample of 892 participants in the Mediators of Atherosclerosis in South Asians Living
in America (MASALA) study had 43% lower odds of exhibiting significant depressive symptoms,
while Beezhold et al. observed, in a study of 138 Seventh Day Adventists [59], that vegetarians
reported less negative symptoms than omnivores on both the Profile of Mood States (POMS) and the
Depression Anxiety Stress Scale (DASS). In a related study, Beezhold and colleagues [60] conducted
an online survey of persons who participated in diet-related social media sites and found that those
who followed vegan and vegetarian diets had less anxiety and stress on the DASS than omnivores. Sanchez-Villegas and colleagues [61] reported that in the Seguimiento Universidad de Navarra (SUN)
cohort study, adherence to a pro-vegetarian dietary pattern was associated with a reduced incidence
of depression in 15,093 Spanish persons followed for an average of 8.5 years, while Velten et al. [62]
found that having a non-vegetarian diet was associated with greater positive mental health in a sample
of 15,396 German and Chinese students. Still, there is evidence that creatine supplementation can
improve cognitive performance in vegetarians, as supplementation with creatine at 5 gm per day for 6
weeks improved performance on backward digit span and Raven’s Progressive matrices compared to
placebo in vegetarian subjects [63]. Medical conditions associated with relative hypoxia, such as asthma and chronic obstructive
pulmonary disease (COPD), are associated with increased rates of depression and suicide [64–68]. COPD is also linked to increased odds of suicidal ideation and suicide attempts compared to
non-hypoxic chronic medical conditions [66,67], and the risk of depression in COPD is almost twice
that in non-hypoxic illnesses [68]. 2.3. Altered Brain Bioenergetics in Human Depression Multiple sources of evidence, from epidemiology, genetics, biochemistry, and neuroimaging,
indicate that bioenergetic abnormalities contribute to the development of depressive symptoms in both
MDD and bipolar disorder (BD). Together, they suggest that compounds that might enhance brain
energy storage, like creatine, could contribute to the treatment of depression. Many clinical conditions that are associated with impaired energy storage and bioenergetics
synthesis are also associated with depression. Depression frequently afflicts persons suffering from
chronic medical illness, including both type 1 and type 2 diabetes [44,45]. Depression is three times
more prevalent in people with type 1 diabetes than in the general population, and twice as common
in type 2 diabetes [46]. Similarly, type 1 diabetes is associated with changes in energy metabolism,
and mitochondrial function plays a primary role in the treatment and prevention of long term
consequences of the disorder [47]. A case-control study showed that brain energy metabolism is
abnormal in type 1 diabetes as represented by the PCr/ATP ratio [48]. Furthermore, phosphorus-31
magnetic resonance spectroscopy (31P MRS) studies in the heart showed altered energy homeostasis
and decreased PCr/ATP ratios in type 1 diabetes patients, identical to the pattern observed in the
brain [49–51]. Dietary patterns that may reduce creatine intake are also associated with the risk of depression
in some studies, although results are mixed. Li and colleagues [52] observed that elderly men who
followed a vegetarian diet had a higher risk of depression, more severe symptoms of depression,
and increased scores on the Geriatric Depression Scale, though a similar result was not found for
women. Matta et al. [53] also found evidence that a vegetarian diet was associated with increased
depressive symptoms on the CES-D in a large (n = 90380) cross-sectional study of French persons,
but observed, in addition, that any dietary restrictions were associated with increased symptoms of
depression, not merely restriction of the intake of meat, fish, eggs, or dairy. Larssen and colleagues [54]
reported that among 2041 Swedish and Norwegian students, vegetarian diet was associated with
increased self-reported frequency of depressive episodes in both males and females. Although the
apparent associations between depression and vegetarian or vegan diets may be related to nutrient 5 of 25 Biomolecules 2019, 9, 406 deficiencies, including deficiencies of creatine intake, it has also been suggested that the onset of mental
disorders may precede the adoption of a vegetarian diet in some cases [55]. 2.3. Altered Brain Bioenergetics in Human Depression Cigarette smoking, which causes relative hypoxia independent
of associated lung diseases [69], is also linked to increased risk for suicide and depression [70]. In adolescents, smoking increases the odds of developing depression by 1.7 times compared to
non-smokers [71]. Current smoking in adults is linked in a dose-dependent fashion to increases in
suicide rates [72]; long-term abstinence reduces this risk, while relapse precedes a return to high
risk [73]. Poorly-controlled asthma is also associated with an increased incidence of suicide rates
compared to remitted asthma [64], and suicide rates for teens with asthma are more than double those
of teens without asthma [65]. There is also extensive, and growing, evidence accumulated by our group and others that
increased altitude of residence, which may be associated with chronic relative hypoxia, is a risk factor
for depression, suicide, and related adverse psychiatric outcomes [74–88]. In conjunction with this,
it has been show that simulated high altitude can produce depression in a rodent model, and that these
symptoms are not responsive to most antidepressants [89–92]. 31P MRS studies have also indicated
that increased altitude of residence is associated with alterations in cerebral bioenergetic signatures
that are similar to those seen in depression (described below) [93,94]. There is increasing reason to believe that mood disorders themselves involve alterations in brain
bioenergetics, in some cases related to underlying abnormalities in mitochondria and mitochondrial
activity, including changes in the mitochondrial genome that affect oxidative phosphorylation and
mitochondrial proliferation, increased frequency of the common mtDNA deletion in depressed persons,
and lower levels of mtDNA expression in depression [95–98]. Inherited mitochondrial disorders are
associated with an increased risk of depression in both pediatric patients and adults [99], where MDD
may be the initial symptom of a mitochondrial disorder; depression may affect up to 54% of patients 6 of 25 Biomolecules 2019, 9, 406 with such disorders [100]. Children with mitochondrial disorders exhibit increased rates of depression
compared to the general population [101], with higher rates of mood and anxiety disorders in matrilineal
relatives (mitochondrial genes follow a matrilineal pattern of inheritance) [102]. There is also peripheral
evidence of abnormal mitochondrial activity in depressed subjects. Gardner et al. [103] performed
muscle biopsies on 28 patients with MDD and examined rates of mitochondrial ATP production and
enzyme levels, as well as the frequency of mitochondrial genome deletions. 2.3. Altered Brain Bioenergetics in Human Depression They found that, compared
to controls, ATP production rates and mitochondrial enzyme levels were lower, and the frequency of
mitochondrial genome deletions higher, in the depressed patients. These differences may be due to
alterations in mitochondrial genetics. g
Biochemical studies of persons with depression indicate altered bioenergetic signatures. Agren and
Niklasson demonstrated increased creatine levels in the CSF of persons with MDD, which were
positively correlated with CSF levels of dopamine and serotonin metabolites [104]. The authors
reported a similar finding in an earlier, smaller study [105]. It has also been shown that peripheral
creatine kinase levels are significantly higher in persons with non-psychotic major depression than in
other groups of psychiatric patients with psychotic disorders [106]. Neuroimaging studies also indicate altered bioenergetics in depression. Cerebral glucose
metabolism is frequently noted to be abnormal in persons with depression in positron emission
tomography studies, particularly in the prefrontal cortex [107–112]. Proton (1H) and phosphorus (31P)
magnetic resonance spectroscopy (MRS) studies that allow the measurement of cerebral metabolite
concentrations indicate that both unipolar and bipolar depression are associated with alterations in
metabolites related to cerebral energy utilization and storage (Figure 1). Although essentially all
spectroscopic studies provide at least indirect information about brain energy homeostasis, as they
report metabolite levels that indicate the rates of synthetic processes, synaptogenesis, or membrane
turnover, we focus here on studies that report directly on the measurement of nucleotide triphosphate
(NTP) (which include levels of adenosine triphosphate, the primary energetic compound in cells) and
creatine or phosphocreatine (Table 1). Although several studies in persons with depression have reported no difference in total creatine
concentrations ([tCr]), which include concentrations of both creatine ([Cr]) and phosphocreatine ([PCr]),
in multiple brain regions [113–122], others indicate increased [tCr] in some regions, such as in the
inferior prefrontal white matter (WM) [123] and left caudate [124]. Studies have shown reduced [tCr]
in MDD in the left dorsolateral prefrontal cortex (PFC) [125], posterior cingulate cortex (PCC) [126],
and left hippocampus (HC) [127]. A study in of geriatric depression found reduced [tCr] in the
PFC in persons with remitted depression compared to healthy controls [128]. It was also found that
after electroconvulsive therapy patients with MDD exhibited increases in [tCr] in the dorsal anterior
cingulate cortex (ACC) and subgenual ACC. 31P MRS studies can measure [PCr] as well as total nucleotide triphosphates ([tNTP]), and beta
nucleotide triphosphates ([β-NTP]) such as adenosine triphosphate ([ATP]). 2.3. Altered Brain Bioenergetics in Human Depression Abbreviations: PCr: phosphocreatine; α/β/γ-NTP: α/β/γ-nucleoside triphosphate; PME:
phosphomonoester; PDE: phosphodiester; Pi: inorganic phosphate. Figure 1. Example phosphorus 31 magnetic resonance spectrum from the frontal lobes of a single
subject. Abbreviations: PCr: phosphocreatine; α/β/γ-NTP: α/β/γ-nucleoside triphosphate; PME:
phosphomonoester; PDE: phosphodiester; Pi: inorganic phosphate. Figure 1. Example phosphorus 31 magnetic resonance spectrum from the frontal lobes of a single
subject. Abbreviations: PCr: phosphocreatine; α/β/γ-NTP: α/β/γ-nucleoside triphosphate; PME:
phosphomonoester; PDE: phosphodiester; Pi: inorganic phosphate. Figure 1. Example phosphorus 31 magnetic resonance spectrum from the frontal lobes of a single
subject. Abbreviations: PCr: phosphocreatine; α/β/γ-NTP: α/β/γ-nucleoside triphosphate; PME:
phosphomonoester; PDE: phosphodiester; Pi: inorganic phosphate. 31P MRS studies can measure [PCr] as well as total nucleotide triphosphates ([tNTP]), and beta
nucleotide triphosphates ([β-NTP]) such as adenosine triphosphate ([ATP]). Kato et al. (1992) found
that [PCr] were significantly reduced in persons with depression compared to persons who were
euthymic, with lower [PCr] in those with more severe depression. The study included persons with
both BD and MDD [129]. Moore et al. first demonstrated that basal ganglia [β-NTP] were reduced in
depressed subjects [130]. Later, it was shown that frontal cortical [β -NTP] were reduced in depressed
subject [131]. Renshaw et al. [132] found that, although basal ganglia [β-NTP] and total purine levels
did not differ between depressed subjects and healthy controls overall in their sample, in the
subgroup of depressed subjects who responded to fluoxetine, [β-NTP] were 21% lower. In female
adolescents with depression, baseline depression severity is negatively correlated with [β-NTP] [133]. Volz et al. (1998) found, in subjects with depression who were mostly taking antidepressants, that
frontal cortical [ATP] were reduced in depression [131]. In some studies, [PCr] and [B-NTP] have been found to be unchanged in MDD [129,134,135]. In some studies, [PCr] and [B-NTP] have been found to be unchanged in MDD [129,134,135]. One reason for these negative findings, however, may be a failure to segment the brain regions studied
into gray matter (GM) and white matter (WM). When segmentation is used, differences in brain
energy storage that are intrinsic to the different metabolic properties of GM and WM may be revealed. When patients with MDD were compared to healthy controls and whole brain metabolites were
segmented into GM and WM, it was observed that total tissue (GM+WM) [β-NTP] and [tNTP] were
lower in depressed subjects and that [tNTP] decreased after 12 weeks of treatment with sertraline [136]. 2.3. Altered Brain Bioenergetics in Human Depression Kato et al. (1992) found
that [PCr] were significantly reduced in persons with depression compared to persons who were
euthymic, with lower [PCr] in those with more severe depression. The study included persons with
both BD and MDD [129]. Moore et al. first demonstrated that basal ganglia [β-NTP] were reduced in
depressed subjects [130]. Later, it was shown that frontal cortical [β -NTP] were reduced in depressed
subject [131]. Renshaw et al. [132] found that, although basal ganglia [β-NTP] and total purine levels
did not differ between depressed subjects and healthy controls overall in their sample, in the subgroup
of depressed subjects who responded to fluoxetine, [β-NTP] were 21% lower. In female adolescents
with depression, baseline depression severity is negatively correlated with [β-NTP] [133]. Volz et al. (1998) found, in subjects with depression who were mostly taking antidepressants, that frontal cortical
[ATP] were reduced in depression [131]. 31P MRS studies can measure [PCr] as well as total nucleotide triphosphates ([tNTP]), and beta
nucleotide triphosphates ([β-NTP]) such as adenosine triphosphate ([ATP]). Kato et al. (1992) found
that [PCr] were significantly reduced in persons with depression compared to persons who were
euthymic, with lower [PCr] in those with more severe depression. The study included persons with
both BD and MDD [129]. Moore et al. first demonstrated that basal ganglia [β-NTP] were reduced in
depressed subjects [130]. Later, it was shown that frontal cortical [β -NTP] were reduced in depressed
subject [131]. Renshaw et al. [132] found that, although basal ganglia [β-NTP] and total purine levels
did not differ between depressed subjects and healthy controls overall in their sample, in the subgroup
of depressed subjects who responded to fluoxetine, [β-NTP] were 21% lower. In female adolescents
with depression, baseline depression severity is negatively correlated with [β-NTP] [133]. Volz et al. (1998) found, in subjects with depression who were mostly taking antidepressants, that frontal cortical
[ATP] were reduced in depression [131]. 7 of 25 Biomolecules 2019, 9, 406 Figure 1. Example phosphorus 31 magnetic resonance spectrum from the frontal lobes of a single
subject. Abbreviations: PCr: phosphocreatine; α/β/γ-NTP: α/β/γ-nucleoside triphosphate; PME:
phosphomonoester; PDE: phosphodiester; Pi: inorganic phosphate. Figure 1. Example phosphorus 31 magnetic resonance spectrum from the frontal lobes of a single
subject. Abbreviations: PCr: phosphocreatine; α/β/γ-NTP: α/β/γ-nucleoside triphosphate; PME:
phosphomonoester; PDE: phosphodiester; Pi: inorganic phosphate. Figure 1. Example phosphorus 31 magnetic resonance spectrum from the frontal lobes of a single
subject. 2.3. Altered Brain Bioenergetics in Human Depression It appears that [tCr] is reduced in several brain regions in BD,
including in the frontal lobes [141], cerebellar vermis [142], hippocampi [143], caudate [144], medial
PFC [145,146], dorsolateral PFC WM [146], and PCC [126], although some studies indicate that [tCr] is
increased in BD in several brain regions [147–149]. Several studies have also failed to find alterations
in [tCr], including in the left dorsolateral PFC [122,150,151] and ACC [152,153]. One study found that
there were no significant differences in [tCr] between unmedicated BD subjects and controls in a variety
of GM and WM regions including the medial frontal cortex, ACC, putamen, caudate, insula, thalamus,
parietal cortex, and occipital cortex [147]. The study did, however, find that the severity of bipolar
depression was inversely correlated with [tCr]. Using 31P MRS, Kato et al. [129] found that [PCr] trended toward being reduced in euthymic
subjects with a history of BD. They later demonstrated lower [PCr] in subjects with BD type II
compared to controls, though no difference in [PCr] in subjects with BD type I [154]. In a related study,
left ventrolateral PFC [PCr] was reduced in euthymic BD subjects compared to controls [155]. It has
also been shown that [PCr] is reduced in the whole brain as well as right hemisphere GM in bipolar
subjects irrespective of mood state [156]. Other studies indicate that there are no significant differences
between bipolar subjects’ [PCr] and those of healthy controls [157–164]. A major limitation of these
studies, however, is that subjects were often in different mood states, and bioenergetics markers could
vary significantly between mania, euthymia, and depression. Table 1. Studies reporting phosphocreatine and total creatine levels in major depressive disorder. 2.3. Altered Brain Bioenergetics in Human Depression When the authors compared GM and WM, however, they found that [tNTP] was reduced in WM but
not in GM before treatment. In a study of older subjects with MDD, again with tissue segmentation,
increased WM [β-NTP] and increased GM [PCr] were positively associated with executive function [137]. In a larger study encompassing 50 subjects with MDD, [PCr] was significantly elevated in GM in
depression but reduced in WM, while depression ratings were correlated with GM [PCr], but not with
WM [PCr] [138]. One reason for these negative findings, however, may be a failure to segment the brain regions
studied into gray matter (GM) and white matter (WM). When segmentation is used, differences in
brain energy storage that are intrinsic to the different metabolic properties of GM and WM may be
revealed. When patients with MDD were compared to healthy controls and whole brain metabolites
were segmented into GM and WM, it was observed that total tissue (GM+WM) [β-NTP] and [tNTP]
were lower in depressed subjects and that [tNTP] decreased after 12 weeks of treatment with
sertraline [136]. When the authors compared GM and WM, however, they found that [tNTP] was
d
d i
WM b
i
GM b f
I
d
f
ld
bj
i h MDD
i
i h
These findings may indicate that increased [PCr] is associated with depression but is also a
marker of antidepressant response-readiness, implying that efforts to increase [PCr] could increase
the likelihood of antidepressant response in some patients. This is consistent with a study by
Iosifescu et al. [134], which found that subjects who responded to triiodothyronine (T3) exhibited
increased [tNTP] but reduced [PCr], while elevated baseline [PCr] predicted response. There are also
several reports that [PCr] can increase with antidepressant treatment. Treatment with acetyl-L-carnitine
was associated with an antidepressant response and [PCr] in the prefrontal cortex (PFC) increased in 8 of 25 Biomolecules 2019, 9, 406 tandem with improvements in depression severity [139]. Similarly, adolescent females treated with
fluoxetine and adjunctive creatine exhibited increases in [PCr] [133]. Spectroscopic evidence for altered bioenergetics in BD has previously been reviewed [140]. BD has
been associated with changes in [tCr]. 2.3. Altered Brain Bioenergetics in Human Depression Study
Condition/Control
Brain Region
Change Compared to Controls
31P-MRS Studies reporting phosphocreatine levels in MDD and Bipolar Disorder
Kato 1992 [129]
MDD-D/MDD-E
30mm frontal axial slice
None
Kato 1994 [154]
BDII/HC
30mm frontal axial slice
↓
BDI/HC
30mm F axial slice
None
Murashita 2000 [161]
BD/HC (+ PS)
OCC
↓after PS in BD except in
lithium responders
Pettegrew 2002 [139]
MDD/HC
PFC
↑after treatment associated with
AD response
Iosifescu 2008 [134]
MDD/HC
20 mm-thick axial slice
None overall but ↓baseline PCr
in those who responded to T3
Sikoglu 2013 [164]
BD/HC
FL
None
Weber 2013 [155]
BD-E/HC
L VLP FC
↓
Yuksel 2015 [163]
BD/HC (+ PS)
OCC
↓after PS in HC but not BD; no
difference in PCr at baseline
Dudley 2016 [156]
BD/HC
WB WM
↓
Harper 2016 [137]
MDD/HC
WB WM, WB GM
↑
Harper 2017 [138]
MDD/HC
WB WM, WB GM
↑in GM, ↓in WM Table 1. Studies reporting phosphocreatine and total creatine levels in major depressive disorder. 9 of 25 Biomolecules 2019, 9, 406 Table 1. Cont. 2.3. Altered Brain Bioenergetics in Human Depression Study
Condition/Control
Brain Region
Change Compared to Controls
1H-MRS Studies Reporting total creatine levels in MDD and Bipolar Disorder
Hamakawa 1999 [141]
BD-D/BD-E
L FL
↓
Auer 2000 [113]
MDD/HC
B A CC
None
Farchione 2000 [114]
MDD/HC
B DL PFC
None
Kumar 2002 [115]
MDD/HC
DL WM, ACC
None
Cecil 2003 [142]
BD-D/HC
CV
↓
Deicken 2003 [143]
BD- E/HC
B Hippo
↓
Gruber 2003 [123]
MDD/HC
L PF WM
↑
Michael 2003 [122]
MDD/HC
L AMG
None
Pfleiderer 2003 [117]
MDD/HC
L A CC
None
Dager 2004 [147]
BD/HC
FL WM, BG, Thal
tCr inversely correlated with
depression severity
Brambilla 2005 [150]
BD/HC
L DL PFC
None
Mirza 2006 [120]
MDD/HC
B Thal
None
Frye 2007 [150]
BD-D/HC
A CC, M CC, M PFC
↑
Gabbay 2007 [124]
MDD/HC
L CN
↑
Moore 2007 [152]
BD/HC
B ACC
None
Olvera 2007 [151]
BD/HC
L DLPFC
None
Patel 2008 [149]
BD-D/HC
B VL PFC
↑
Port 2008 [144]
BD-D/HC
R CN
↓
Nery 2009 [125]
MDD/HC
L DL PFC
↑in women
↓in men
Öngür 2009 [153]
BD-M/HC
B ACC and POC
None
Venkatraman 2009 [128]
MDD/HC
M PFC
↓
Caetano 2011 [147]
BD/HC
R M PFC, L DL PFC WM
↓
Portella 2011 [118]
MDD/HC
B VM PFC
None
McEwen 2012 [116]
PPD/HC
B M PFC
None
Özdel 2012 [145]
BD-E/HC
B M PFC
↓
Bradley 2016 [121]
MDD/HC
B CN, B Put, B Thal
None
Li 2016 [126]
MDD/HC
P CC
↓
Njau 2017 [127]
MDD/HC
SG ACC, D ACC
↑
Rosa 2017 [119]
PPD/HC
B A CC, L DL PFC
None
A: anterior; AMG: amygdala; B: bilateral; BD: bipolar disorder; BD D: bipolar depressed state; BD E: bipolar Condition/Control
Brain Region A: anterior; AMG: amygdala; B: bilateral; BD: bipolar disorder; BD-D: bipolar, depressed state; BD-E: bipolar,
euthymic state; BDI: bipolar disorder type I; BDII: bipolar disorder type II; BD-M: bipolar, manic or mixed state;
BG: basal ganglia; CC: cingulate cortex; CV: cerebellar vermis; D: dorsal; DL: dorsolateral; FL: frontal lobes; GM:
gray matter; HC: healthy controls; Hippo: hippocampus; Ins: insula; L: left; M: medial; MCC: middle cingulate cortex;
MDE: major depressive episode; MDD: major depressive disorder; MDD-D: major depressive disorder, depressed
state; MDD-E; major depressive disorder, euthymic state; M: medial; OCC: occipital cortex; OFC: orbitofrontal
cortex; OL: occipital lobe; P: posterior; PCr: phosphocreatine; PFC: prefrontal cortex; POC: parieto-occipital cortex;
PPD: post-partum depression; PS: photic stimulation; Put: putamen; R: right; SG: subgenual; tCr: total creatine
(phosphocreatine + creatine); Thal: thalamus; TL: temporal lobes; T3: triiodothyronine; V: ventral; VL: ventrolateral;
WB: whole brain; WM: white matter; ↑: significantly increased/higher; ↓: significantly reduced/lower. 2.3. Altered Brain Bioenergetics in Human Depression A: anterior; AMG: amygdala; B: bilateral; BD: bipolar disorder; BD-D: bipolar, depressed state; BD-E: bipolar,
euthymic state; BDI: bipolar disorder type I; BDII: bipolar disorder type II; BD-M: bipolar, manic or mixed state;
BG: basal ganglia; CC: cingulate cortex; CV: cerebellar vermis; D: dorsal; DL: dorsolateral; FL: frontal lobes; GM:
gray matter; HC: healthy controls; Hippo: hippocampus; Ins: insula; L: left; M: medial; MCC: middle cingulate cortex;
MDE: major depressive episode; MDD: major depressive disorder; MDD-D: major depressive disorder, depressed
state; MDD-E; major depressive disorder, euthymic state; M: medial; OCC: occipital cortex; OFC: orbitofrontal
cortex; OL: occipital lobe; P: posterior; PCr: phosphocreatine; PFC: prefrontal cortex; POC: parieto-occipital cortex;
PPD: post-partum depression; PS: photic stimulation; Put: putamen; R: right; SG: subgenual; tCr: total creatine
(phosphocreatine + creatine); Thal: thalamus; TL: temporal lobes; T3: triiodothyronine; V: ventral; VL: ventrolateral;
WB: whole brain; WM: white matter; ↑: significantly increased/higher; ↓: significantly reduced/lower. Several studies have suggested dynamic abnormalities in PCr synthesis in BD. In subjects with
BD who were treated with lithium, [PCr] fell after photic stimulation (a method of increasing visual Several studies have suggested dynamic abnormalities in PCr synthesis in BD. In subjects with
BD who were treated with lithium, [PCr] fell after photic stimulation (a method of increasing visual 10 of 25 Biomolecules 2019, 9, 406 cortex activity) in subjects who did not respond to lithium but remained stable in lithium-responsive
subjects and controls [161]. This suggested that subjects with BD have a deficit in PCr synthesis that is
ameliorated by lithium. In a similar study [163], however, [PCr] fell in response to photic stimulation
in controls, but not in bipolar subjects, even though PCr/ATP ratios were reduced in BD, and [ATP]
fell in BD in response to photic stimulation. A study using magnetization transfer to estimate the
rate constant for the creatine kinase reaction in BD found that it did not differ significantly between
euthymic or depressed bipolar subjects and controls [162]. In contrast, subjects with a first episode of
bipolar depression (BD) or mania and psychotic features exhibited a 13% reduction in the rate constant
for the creatine kinase reaction [159]. The difference between these studies may be due to the absence
of psychosis among the subjects in the first study or, again, to the difference in mood states, as many of
the subjects in the second study were manic. 2.4. Biochemical Effects of Creatine Supplementation Evidence that brain creatine and phosphocreatine metabolism are altered in depression has
suggested that they have promise as antidepressant treatments. Creatine monohydrate, the most
common commercially-available form of creatine, has the ability to alter brain creatine levels. The ingestion of 20 g per day of creatine for a month increased brain creatine levels measured
by 1H MRS by, on average, 4.7% in gray matter and 11.5% in cerebral white matter, though there was
significant inter-subject variability that appeared to be related to both gender and body mass [165]. In a placebo controlled study, Lyoo et al. found that supplementation with 0.3 g/kg/d for one week,
followed by 0.03 g/kg/d for one week, increased brain [tCr]/[n-acetyl aspartate] ratios by 8.1%, and brain
[tCr]/[choline] ratios by 9.3%, as measured by 1H MRS. Similar changes were not observed in a placebo
control group. The researchers also found, using 31P MRS, that creatine supplementation reduced
[β-NTP] significantly and produced a trend toward increased [PCr] [166]. The overall effect of creatine
supplementation on [PCr] is unclear, but in a study of creatine supplementation in a variety of tissues in
several animal species, it appeared that, while the ratio of [PCr] to [Cr] did not change, total [PCr] and
[Cr] both increased [167]. This appears to be consistent with findings in human skeletal muscle [168,169]. It was also shown that creatine supplementation at 20g/day × 5 days followed by 5 g/day × 2 days
in healthy subjects reduced the fMRI BOLD signal in the V1 region in a visual stimulation paradigm
compared to placebo [170]. Creatine supplementation also significantly improved performance on the
backward digit span, a test of cognition. The authors speculated that creatine reduces the BOLD signal
by increasing local energy stores and thereby reducing the metabolic stimulus for cortical blood flow,
or, instead, promoting an increase in the efficiency of O2 uptake with associated attenuation of the
BOLD signal. 2.5. Clinical Studies in Conditions Related to Depression Subjects
who received 20 g of creatine per day exhibited significantly less decline in cognitive performance,
motor performance and mood state than subjects who had received placebo after 24 h of sleep
deprivation [177]; in a subsequent study, creatine supplementation improved performance on central
executive tasks after 36h of sleep deprivation, though it did not affect mood [178]. Another small
study of healthy young adults who were not sleep-deprived found no effect of creatine on cognitive
performance compared to placebo over 6 weeks [179]. In the elderly, however, creatine supplementation
at 20 g per day for two weeks appears to improve a broad array of cognitive measures [180]. Inspired by findings like those above, Kaptsan and colleagues [181] examined whether creatine
could improve neurocognitive and other symptoms in schizophrenia. The investigators randomized
12 patients with schizophrenia to creatine 3 g or 5 g per day or placebo for 3 months in a double-blind,
crossover fashion. They found that there was no significant difference between the groups with respect
to improvements in neurocognitive function or on study measures such as the Positive and Negative
Symptoms Scale (PANSS) or the Clinical Global Impression-Improvement scale, though there were no
significant adverse effects. The study did not specifically assay for improvements in mood related to
creatine, though no significant difference were observed in the PANSS Negative Symptom or PANSS
General Psychopathology subscales, which might indirectly capture depressive symptoms. Amital et al. (2006) provided oral creatine to subjects with PTSD who were taking SSRIs or
SNRIs, with or without comorbid depression. Subjects received 3 g/day of creatine for 1 week,
then 5 gm/day for three weeks. The authors found that subjects exhibited significant improvements in
the HAM-D, HAM-A, Sheehan Disability Scale, and the Clinician Assessment of PTSD Symptoms,
and that improvements were greater in the six subjects who had comorbid MDD [182]. Fibromyalgia is a rheumatological condition that is often associated with depression [183]. Creatine
was thought to have potential as a treatment for fibromyalgia because of its benefits for muscle strength
and pain [184]. Amital et al. [185] first reported the potential antidepressant benefit of creatine in
persons with fibromyalgia based on the experiences of one of the participants in the PTSD study cited
above [182]; the patient was a 52-year-old who was treated with creatine in addition to citalopram for
4 weeks. 2.5. Clinical Studies in Conditions Related to Depression In human trials, creatine has been studied extensively for the treatment of neuropsychiatric
conditions other than depression—especially neurodegenerative illnesses such as Parkinson disease
(PD) and Huntington disease (HD), as well as in other neuromuscular disorders. The results of
many of these studies are reviewed elsewhere in this issue, but we touch on some of this work here
because it provided preliminary clinical evidence that creatine supplementation could improve mood. A 2-year study of the effect of creatine supplementation on the progression of Parkinson disease
randomized 60 subjects between placebo or three stages of creatine dosing: 20 g/day for 6 days, 2 g/day
for 6 months, and 4 g/day for 18 months. Although there was no significant effect on primary PD
symptoms, the investigators observed a significant improvement, relative to placebo, in the “mentation,
behavior, mood” subscale of the Unified Parkinson Disease Rating Scale (UPDRS) [171]. Unfortunately,
a subsequent multisite study involving 1741 subjects randomized between creatine monohydrate
10 g/day and placebo for 5 years found no difference between groups on the UPDRS mental subscale,
nor on the Beck Depression Inventory [172]. 11 of 25 Biomolecules 2019, 9, 406 A separate study also failed to find evidence of a beneficial effect of creatine on mood in a
trial of creatine and strength training in older women (who were without clinical depression at
baseline). The women were between the ages of 60 and 80, and were randomized between four
arms: creatine alone, placebo alone, creatine plus strength training, and placebo plus strength training. The investigators found that mood changes in the creatine groups did not differ from those in the
placebo groups, but that strength training, whether added to creatine or placebo, was associated with
improvement in mood. p
Persons with depression may exhibit mental fatigue and there are phenomenological similarities
between mental fatigue and depression [173,174]. Kato et al. found, in healthy subjects, that the rate of
occipital cortex phosphocreatine depletion in response to photic stimulation is associated with the rate
of improvement after rest during the Uchida-Kraepelin test (UKT), a paradigm for measuring mental
fatigue [175]. In a follow-up to this study, Watanabe et al. discovered that supplementation with 8 g of
creatine per day for 5 days reduced mental fatigue on the UKT compared to placebo [176]. Creatine has
also been shown to improve cognitive performance in persons subjected to sleep deprivation. 2.6. Clinical Trials of Creatine for Depression Creatine monohydrate has, to this point, been studied only in small clinical trials for the treatment
of MDD, BD, and depression associated with methamphetamine use disorder (see Table 2). With a few
exceptions, most trials to date have been positive. To our knowledge, the first trial to examine creatine for the treatment of depression was conducted
by Roitman and colleagues [187]. They examined eight patients with MDD and two patients with
BDU and treated them with open-label creatine at 3–5 g/day for four weeks, as an add-on to their
existing antidepressants or mood stabilizers. Although both of the patients with BD developed
mania/hypomania and were withdrawn from the study, seven out of the eight patients with MDD
exhibited significant improvement while receiving creatine. The adverse events reported in the MDD
group were mild and transient. Subsequently, Kondo et al. [133] conducted an open-label trial of creatine supplementation in
female adolescents with MDD who had not responded adequately to SSRIs. The study included five
girls who had taken fluoxetine for at least 8 weeks but who continued to have clinically significant
depressive symptoms, as evidence by a score on the Children’s Depression Rating Scale-Revised
(CDRS-R) of at least 40. The subjects were treated with 4g of creatine per day for 8 weeks. The mean
CDRS-R score fell by 50.6% between baseline and week 8. The baseline CDRS-R score was correlated
with pH as measured by 31P MRS, and inversely correlated with [β-NTP]. Creatine-treated subjects
exhibited a significant increase in whole brain [PCr] compared to controls. In a follow up to this study, Kondo and colleagues randomized 34 adolescent and young-adult
women with MDD who had not responded to an SSRI to placebo or creatine monohydrate in doses
of 2 g, 4 g, or 10 g/day for 8 weeks. They found that creatine increased [PCr] in the frontal cortex
compared to placebo, and that higher [PCr] were associated with lower depression scores. There was
not a significant difference between creatine groups with respect to the change in [PCr] [170]. 2.5. Clinical Studies in Conditions Related to Depression She exhibited improvements in both her Hamilton Depression Rating Scale (HAM-D) scores
(which fell from 24 to 16) and symptoms of fibromyalgia. In a randomized, placebo-controlled trial for
fibromyalgia lasting 16 weeks, supplementation with creatine at 20 g per day for 5 days, followed by
5 g per day for 15 weeks, produced significant improvements in mental health scores on the Short-Form
36 disability rating scale compared to placebo, though no significant difference was observed in the
depression or fatigue subscales of the Fibromyalgia Impact Questionnaire [186]. 12 of 25 Biomolecules 2019, 9, 406 12 of 25 2.6. Clinical Trials of Creatine for Depression In a later study, 52 adult women up to age 65 with depression (HAM-D > 16 and confirmation
by the Structured Clinical Interview for DSM-IV) were randomized 1:1 between escitalopram (10 mg
per day for one week and then 20 mg per day for seven weeks) plus creatine (3 g per day for one
week, then 5 g per day for seven weeks) or matched placebo, to ascertain whether creatine enhanced
response to SSRIs. The subjects were otherwise unmedicated before the trial and most (78.8%) were
medication-naïve. The creatine-treated group exhibited a superior antidepressant response, compared
to the placebo group, as early as week 2, which continued for the 8 weeks of the study; the mean
reduction in HAM-D score for the creatine group at week 8 was 79.7%, while in the placebo group it
was 62.5%. The creatine group did not experience significantly more adverse effects than the placebo
group [188]. Yoon and colleagues later reported neuroimaging results from the women participating in the
study above. They hypothesized that creatine administration would increase structural connectivity
between rich-club hub network connections, as these connections are energy-demanding. Using 1H
MRS and structural connectivity imaging, they found that prefrontal N-acetylaspartate levels increased
with creatine compared to placebo, and also that rich-club hub network connections in the creatine
group increased significantly more than in the placebo group or in healthy controls. There was,
however, no evidence that changes in rich-club connectivity were associated with the degree of
antidepressant response. 13 of 25 Biomolecules 2019, 9, 406 Table 2. Clinical trials involving creatine for the treatment of depression. 2.6. Clinical Trials of Creatine for Depression Study
Population (n)
Design
Creatine Dose
Duration
Effect
Significant Adverse
Effects Related to
Creatine
Roitman 2007 [186]
MDD-D (n = 8); BD-D
(n = 2)
Open-label, adjunctive
3–5 g/day
4 weeks
Average HAM-D scores declined from
23.1 at baseline to 12.6 at week 4
Both bipolar subjects
developed
hypomania/mania
Kondo 2011 [133]
Adolescent girls with
MDD-D (n = 5)
Open-label, adjunctive
4 g/day
8 weeks
The mean CDRS-R score fell by 50.6%
None
Kondo 2016 [170]
Adolescent and
young-adult women
with MDD-D (n = 34)
Open-label, adjunctive,
dose-ranging
2 g, 4 g, or 10 g/day
8 weeks
Creatine increased frontal cortical
phosphocreatine levels in a fashion
associated with lower depression ratings
None
Lyoo 2012 [188]
Women with MDD-D
(n = 52)
Randomized,
double-blind,
placebo-controlled,
adjunctive
3 g/day × 1 week
then 5 g/day × 7
weeks
8 weeks
HAM-D scores in the creatine group fell
by 79.7% by week 8, compared to 62.5%
in the placebo group
None
Nemets 2013 [189]
MDD-D (n = 18)
Randomized,
double-blind,
placebo-controlled,
adjunctive
5 g/day or 10 g/day
4 weeks
No significant difference between
creatine and placebo in HAM-D scores
None
Hellem 2015 [193]
Methamphetamine
dependence with
depression (n = 14)
Open-label, monotherapy
5 g/day
8 weeks
Mean HAM-D scores fell to 10.4 by week
2, representing response
Gastrointestinal
symptoms (n = 5) and
muscle cramps (n = 2)
Kious 2017 [190]
Women with MDD-D
(n = 15)
Open-label, adjunctive
5 g/day (with 5-HTP
200 mg twice daily)
8 weeks
HAM-D scores improved by ~60% by
week 8
None
Toniolo 2017 [191]
BD-D (n = 18)
Randomized,
double-blind,
placebo-controlled,
adjunctive
6 g/day
6 weeks
Significant improvement in verbal
fluency but no significant changes in
other measures reported
None
Toniolo 2018 [192]
BD-D (n = 53)
Randomized,
double-blind,
placebo-controlled,
adjunctive
6 g/day
6 weeks
No significant difference in MADRS
scores between groups, but MADRS
remission rate was significantly greater
in creatine group (52.9% vs. 11.1%)
Two participants in
creatine group
developed
hypomania/mania
BD-D: bipolar disorder, depressed state; CDRS-R: Children’s Depression Rating Scale, Revised; HAM-D; 17-item Hamilton Depression Rating Scale; MADRS: Montgomery-Asberg
Depression Rating Scale MDD-D: major depressive disorder, depressed state. Table 2. Clinical trials involving creatine for the treatment of depression. 14 of 25 Biomolecules 2019, 9, 406 The only negative trial of creatine in MDD to our knowledge was conducted by Nemets and
Levine [189]. 2.6. Clinical Trials of Creatine for Depression Strikingly,
however, they did find a significant difference in the likelihood of MADRS remission (score <= 12)
between the two groups; using intention-to-treat analysis, they found 52.9% remission in the creatine
group, with only 11.1% remission in the placebo group. Two patients in the creatine group switched to
mania/hypomania early in the study, but no other significant adverse effects were observed. Although creatine may increase the risk of developing hypomania or mania in persons with
bipolar depression [186], it has been investigated in two trials for persons with bipolar depression. In the first trial, Toniolo and colleagues [191] randomized 18 patients with bipolar depression to 6 g of
creatine or placebo as augmentation to existing mood-stabilizers or antipsychotics daily for 6 weeks,
and assessed the effect on several measures of cognition. They found that subjects taking creatine had
a significant improvement in verbal fluency but no significant change in the other measures included. They did not report any effects on the measures of mood included in the study, which included the
HAM-D, Montgomery-Asberg Depression Rating Scale (MADRS), and the Young Mania Rating Scale. ,
g
y
g
p
g
(
),
g
g
In a more recent study, Toniolo and colleagues [192] randomized 53 patients with BD type I or II
who were currently in a depressive episode to 6g of creatine daily or matched placebo for 6 weeks,
as an adjunct to their existing medications. The researchers did not identify any significant difference
between creatine and placebo on the primary endpoint, change in the MADRS after 6 weeks. Strikingly,
however, they did find a significant difference in the likelihood of MADRS remission (score <= 12)
between the two groups; using intention-to-treat analysis, they found 52.9% remission in the creatine
group, with only 11.1% remission in the placebo group. Two patients in the creatine group switched to
mania/hypomania early in the study, but no other significant adverse effects were observed. Hellem et al. (2015) studied the effects of supplementation of 5 g of creatine per day used as
monotherapy (i.e., without concomitant antidepressants) on depressive symptoms over 8 weeks in
persons with methamphetamine dependence. In this open-label trial involving 14 subjects, the authors
found that HAM-D scores were significantly reduced by as soon as 2 weeks after the start of creatine
supplementation. 2.6. Clinical Trials of Creatine for Depression They enrolled 18 subjects (14 women) who had received an SSRI, SNRI, or noradrenergic
and specific serotonergic antidepressant (NaSSA) for at least three weeks and who continued to be
depressed in a 4-week trial of adjunctive creatine at 5 g or 10 g per day, or placebo. Although two
women receiving in the trial showed an early > 50% reduction in HAM-D scores, overall there was no
significant difference between either creatine dose or placebo. The authors concluded that creatine
may not be effective for the treatment of depression as an augmenting agent, though it is noteworthy
that the period of supplementation in this study was much shorter than in the other, positive, trials. More recently, our group conducted an open-label trial involving 15 adult women who had failed
to respond to adequate trials of at least one SSRI or SNRI, who were treated with 5 g of creatine
daily in combination with the serotonin precursor 5-hydroxytryptophan (5-HTP) at 200 mg twice
daily for 8 weeks. We found that subjects exhibited significant improvements in HAM-D scores
compared to baseline, with an average decrease of approximately 60%. There were no significant
adverse events [190]. Although creatine may increase the risk of developing hypomania or mania in persons with
bipolar depression [186], it has been investigated in two trials for persons with bipolar depression. In the first trial, Toniolo and colleagues [191] randomized 18 patients with bipolar depression to 6 g of
creatine or placebo as augmentation to existing mood-stabilizers or antipsychotics daily for 6 weeks,
and assessed the effect on several measures of cognition. They found that subjects taking creatine had
a significant improvement in verbal fluency but no significant change in the other measures included. They did not report any effects on the measures of mood included in the study, which included the
HAM-D, Montgomery-Asberg Depression Rating Scale (MADRS), and the Young Mania Rating Scale. In a more recent study, Toniolo and colleagues [192] randomized 53 patients with BD type I or II
who were currently in a depressive episode to 6g of creatine daily or matched placebo for 6 weeks,
as an adjunct to their existing medications. The researchers did not identify any significant difference
between creatine and placebo on the primary endpoint, change in the MADRS after 6 weeks. 2.6. Clinical Trials of Creatine for Depression They also found that Beck Anxiety Inventory scores were significantly reduced,
and that brain [PCr], measured by 31P MRS, were significantly increased after 8 weeks. Brain [PCr] were
higher at the second 31P MRS scan compared to baseline, suggesting that creatine supplementation
increased [PCr] [193]. References 1. Rush, A.J.; Trivedi, M.H.; Wisniewski, S.R.; Nierenberg, A.A.; Stewart, J.W.; Warden, D.; Niederehe, G.;
Thase, M.E.; Lavori, P.W.; Lebowitz, B.D. Acute and longer-term outcomes in depressed outpatients requiring
one or several treatment steps: A STAR* D report. Am. J. Psychiatry 2006, 163, 1905–1917. [CrossRef]
[PubMed] 2. Nemeroff, C.B. Prevalence and management of treatment-resistant depression. J. Clin. Psychiatry 2007, 68, 17. [PubMed] 2. Nemeroff, C.B. Prevalence and management of treatment-resistant depression. J. Clin. Psychiatry 2007, 68, 17. [PubMed] 3. Sackeim, H.A. Modern electroconvulsive therapy: Vastly improved yet greatly underused. JAMA Psychiatry
2017, 74, 779–780. [CrossRef] [PubMed] 3. Sackeim, H.A. Modern electroconvulsive therapy: Vastly improved yet greatly underused. JAMA Psychiatry
2017, 74, 779–780. [CrossRef] [PubMed] 4. Caddy, C.; Amit, B.H.; McCloud, T.L.; Rendell, J.M.; Furukawa, T.A.; McShane, R.; Hawton, K.; Cipriani, A. Ketamine and other glutamate receptor modulators for depression in adults. Cochrane Database Syst. Rev. 2015, 9. [CrossRef] [PubMed] 4. Caddy, C.; Amit, B.H.; McCloud, T.L.; Rendell, J.M.; Furukawa, T.A.; McShane, R.; Hawton, K.; Cipriani, A. Ketamine and other glutamate receptor modulators for depression in adults. Cochrane Database Syst. Rev. 2015, 9. [CrossRef] [PubMed] 5. Newport, D.J.; Carpenter, L.L.; McDonald, W.M.; Potash, J.B.; Tohen, M.; Nemeroff, C.B. Ketamine and Other
NMDA Antagonists: Early Clinical Trials and Possible Mechanisms in Depression. Am. J. Psychiatry 2015,
172, 950–966. [CrossRef] [PubMed] 5. Newport, D.J.; Carpenter, L.L.; McDonald, W.M.; Potash, J.B.; Tohen, M.; Nemeroff, C.B. Ketamine and Other
NMDA Antagonists: Early Clinical Trials and Possible Mechanisms in Depression. Am. J. Psychiatry 2015,
172, 950–966. [CrossRef] [PubMed] 6. Allen, P.J. Creatine metabolism and psychiatric disorders: Does creatine supplementation have therapeutic
value? Neurosci. Biobehav. Rev. 2012, 36, 1442–1462. [CrossRef] [PubMed] 6. Allen, P.J. Creatine metabolism and psychiatric disorders: Does creatine supplementation have therapeutic
value? Neurosci. Biobehav. Rev. 2012, 36, 1442–1462. [CrossRef] [PubMed] 7. Pazini, F.L.; Cunha, M.P.; Rodrigues, A.L.S. The possible beneficial effects of creatine for the management of
depression. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 2019, 89, 193–206. [CrossRef] [PubMed] 8. Andres, R.H.; Ducray, A.D.; Schlattner, U.; Wallimann, T.; Widmer, H.R. Functions and effects of creatine in
the central nervous system. Brain Res. Bull. 2008, 76, 329–343. [CrossRef] 9. Hahn, K.A.; Salomons, G.S.; Tackels-Horne, D.; Wood, T.C.; Taylor, H.A.; Schroer, R.J.; Lubs, H.A.; Jakobs, C.;
Olson, R.L.; Holden, K.R. X-linked mental retardation with seizures and carrier manifestations is caused by a
mutation in the creatine-transporter gene (SLC6A8) located in Xq28. Am. J. Hum. Genet. 2002, 70, 1349–1356. 3. Conclusions Creatine is a naturally-occurring organic acid that serves as an energy buffer and energy shuttle in
tissues, such as brain and skeletal muscle, that exhibit dynamic energy requirements. Evidence, deriving
from a variety of scientific domains, that brain bioenergetics are altered in depression and related
disorders is growing. Clinical studies in neurological conditions such as PD have indicated that creatine
might have an antidepressant effect, and early clinical studies in depressive disorders—especially
MDD—indicate that creatine may have an important antidepressant effect. Future work should,
we think, involve larger clinical trials of creatine when used as an adjunctive treatment in MDD,
extend to encompass trials of creatine as monotherapy, examine the potential efficacy of creatine
as an augmenting agent when combined with neurostimulation techniques such as ECT and TMS, 15 of 25 Biomolecules 2019, 9, 406 and better characterize the neurochemical and network-level effects of creatine and their correlations
with antidepressant response. and better characterize the neurochemical and network-level effects of creatine and their correlations
with antidepressant response. Author Contributions: Conceptualization, B.M.K., D.G.K., P.F.R.; Writing—Original Draft Preparation, B.M.K.;
Writing—Review & Editing, B.M.K., D.G.K., P.F.R.; Supervision, P.F.R. Funding: This work was supported by the U.S. Department of Veterans Affairs (VA) Rocky Mountain VISN
19 Mental Illness Research, Education and Clinical Center (MIRECC), as well as VA grant I01-CX000812 to
Dr. Renshaw and VA grant I01-CX001611 to Dr. Kondo. The views in this paper are those of the authors and do
not necessarily represent the official policy or position of the Department of Veterans Affairs or the United States
Government. Dr. Kious was supported by a National Alliance for Research on Schizophrenia and Depression
Young Investigator Grant (2016). Acknowledgments: Xian-Feng Shi provided the example 31P-MRS spectrum included in Figure 1. Conflicts of Interest: The authors declare no conflicts of interest. Conflicts of Interest: The authors declare no conflicts of interest. References [CrossRef] 10. Salomons, G.S.; van Dooren, S.J.; Verhoeven, N.M.; Cecil, K.M.; Ball, W.S.; Degrauw, T.J.; Jakobs, C. X-linked
creatine-transporter gene (SLC6A8) defect: A new creatine-deficiency syndrome. Am. J. Hum. Genet. 2001,
68, 1497–1500. [CrossRef] 11. Attwell, D.; Laughlin, S.B. An energy budget for signaling in the grey matter of the brain. J. Cereb. Blood Flow
Metab. 2001, 21, 1133–1145. [CrossRef] [PubMed] 12. Rolfe, D.F.; Brown, G.C. Cellular energy utilization and molecular origin of standard metabolic rate in
mammals. Physiol. Rev. 1997, 77, 731–758. [CrossRef] 13. Sahlin, K.; Harris, R.C. The creatine kinase reaction: A simple reaction with functional complexity. Amino Acids
2011, 40, 1363–1367. [CrossRef] 14. Vendelin, M.; Eimre, M.; Seppet, E.; Peet, N.; Andrienko, T.; Lemba, M.; Engelbrecht, J.; Seppet, E.K.; Saks, V.A. Intracellular diffusion of adenosine phosphates is locally restricted in cardiac muscle. Mol. Cell. Biochem. 2004, 256, 229–241. [CrossRef] [PubMed] 15. Kaldis, P.; Hemmer, W.; Zanolla, E.; Holtzman, D.; Wallimann, T. ‘Hot spots’ of creatine kinase localization in
brain: Cerebellum, hippocampus and choroid plexus. Dev. Neurosci. 1996, 18, 542–554. [CrossRef] 16 of 25 16 of 25 Biomolecules 2019, 9, 406 16. Jost, C.R.; Van der Zee, C.E.; In ‘t Zandt, H.J.; Oerlemans, F.; Verheij, M.; Streijger, F.; Fransen, J.; Heerschap, A.;
Cools, A.R.; Wieringa, B. Creatine kinase B-driven energy transfer in the brain is important for habituation and
spatial learning behaviour, mossy fibre field size and determination of seizure susceptibility. Eur. J. Neurosci. 2002, 15, 1692–1706. [CrossRef] [PubMed] 17. In ‘t Zandt, H.J.; Renema, W.K.; Streijger, F.; Jost, C.; Klomp, D.W.; Oerlemans, F.; Van der Zee, C.E.;
Wieringa, B.; Heerschap, A. Cerebral creatine kinase deficiency influences metabolite levels and morphology
in the mouse brain: A quantitative in vivo 1H and 31P magnetic resonance study. J. Neurochem. 2004, 90,
1321–1330. [CrossRef] 18. Allen, P.J.; D’Anci, K.E.; Kanarek, R.B.; Renshaw, P.F. Chronic creatine supplementation alters depression-like
behavior in rodents in a sex-dependent manner. Neuropsychopharmacology 2009, 35, 534–546. [CrossRef] 19. Allen, P.J.; D′Anci, K.E.; Kanarek, R.B.; Renshaw, P.F. Sex-specific antidepressant effects of dietary creatine
with and without sub-acute fluoxetine in rats. Pharmacol. Biochem. Behav. 2012, 101, 588–601. [CrossRef] 20. Allen, P.J.; DeBold, J.F.; Rios, M.; Kanarek, R.B. Chronic high-dose creatine has opposing effects on
depression-related gene expression and behavior in intact and sex hormone-treated gonadectomized male
and female rats. Pharmacol. Biochem. Behav. 2015, 130, 22–33. [CrossRef] [PubMed] 21. References Kim, S.Y.; Lee, Y.J.; Kim, H.; Lee, D.W.; Woo, D.C.; Choi, C.B.; Chae, J.H.; Choe, B.Y. Desipramine attenuates
forced swim test-induced behavioral and neurochemical alterations in mice: An in vivo 1H-MRS study at
9.4T. Brain Res. 2010, 1348, 105–113. [CrossRef] 22. Lim, S.I.; Song, K.H.; Yoo, C.H.; Woo, D.C.; Choe, B.Y. Decreased glutamatergic activity in the frontal cortex
of single prolonged stress model: In vivo and ex vivo proton MR spectroscopy. Neurochem. Res. 2017, 42,
2218–2229. [CrossRef] [PubMed] 23. Knox, D.; Perrine, S.A.; George, S.A.; Galloway, M.P.; Liberzon, I. Single prolonged stress decreases glutamate,
glutamine, and creatine concentrations in the rat medial prefrontal cortex. Neurosci. Lett. 2010, 480, 16–20. [CrossRef] [PubMed] 24. Shao, Y.; Yan, G.; Xuan, Y.; Peng, H.; Huang, Q.J.; Wu, R.; Xu, H. Chronic social isolation decreases glutamate
and glutamine levels and induces oxidative stress in the rat hippocampus. Behav. Brain Res. 2015, 282, 201–208. [CrossRef] 25. Czeh, B.; Michaelis, T.; Watanabe, T.; Frahm, J.; de Biurrun, G.; van Kampen, M.; Bartolomucci, A.; Fuchs, E. Stress-induced changes in cerebral metabolites, hippocampal volume, and cell proliferation are prevented
by antidepressant treatment with tianeptine. Proc. Natl. Acad. Sci. USA 2001, 98, 12796–12801. [CrossRef]
[PubMed] 26. Michael-Titus, A.T.; Albert, M.; Michael, G.J.; Michaelis, T.; Watanabe, T.; Frahm, J.; Pudovkina, O.; van der
Hart, M.G.; Hesselink, M.B.; Fuchs, E.; et al. SONU20176289, a compound combining partial dopamine D(2)
receptor agonism with specific serotonin reuptake inhibitor activity, affects neuroplasticity in an animal
model for depression. Eur. J. Pharmacol. 2008, 598, 43–50. [CrossRef] [PubMed] 27. Van der Hart, M.G.; Czeh, B.; de Biurrun, G.; Michaelis, T.; Watanabe, T.; Natt, O.; Frahm, J.; Fuchs, E. Substance P receptor antagonist and clomipramine prevent stress-induced alterations in cerebral metabolites,
cytogenesis in the dentate gyrus and hippocampal volume. Mol. Psychiatry 2002, 7, 933–941. [CrossRef]
28. Fuchs, E. Social stress in tree shrews as an animal model of depression: An example of a behavioral model of
a CNS disorder CNS Spectr 2005 10 182 190 [CrossRef] [PubMed] 27. Van der Hart, M.G.; Czeh, B.; de Biurrun, G.; Michaelis, T.; Watanabe, T.; Natt, O.; Frahm, J.; Fuchs, E. Substance P receptor antagonist and clomipramine prevent stress-induced alterations in cerebral metabolites,
cytogenesis in the dentate gyrus and hippocampal volume. Mol. Psychiatry 2002, 7, 933–941. [CrossRef] 28. Fuchs, E. Social stress in tree shrews as an animal model of depression: An example of a behavioral model of
a CNS disorder. References CNS Spectr. 2005, 10, 182–190. [CrossRef] [PubMed] 9. Fuchs, E.; Flugge, G. Social stress in tree shrews: Effects on physiology, brain function, and behavio
subordinate individuals. Pharmcol. Biochem. Behav. 2002, 73, 247–258. [CrossRef] 30. Almeida, L.S.; Salomons, G.S.; Hogenboom, F.; Jakobs, C.; Schoffelmeer, A.N. Exocytotic release of creatine in
rat brain. Synapse 2006, 60, 118–123. [CrossRef] 31. Cunha, M.P.; Budni, J.; Pazini, F.L.; Oliveira, Á.; Rosa, J.M.; Lopes, M.W.; Leal, R.B.; Rodrigues, A.L.S. Involvement of PKA, PKC, CAMK-II and MEK1/2 in the acute antidepressant-like effect of creatine in mice. Pharmacol. Rep. 2014, 66, 653–659. [CrossRef] [PubMed] 32. Cunha, M.P.; Budni, J.; Ludka, F.K.; Pazini, F.L.; Rosa, J.M.; Oliveira, A.; Lopes, M.W.; Tasca, C.I.; Leal, R.B.;
Rodrigues, A.L.S. Involvement of PI3K/Akt signaling pathway and its downstream intracellular targets in
the antidepressant-like effect of creatine. Mol. Neurobiol. 2016, 53, 2954–2968. [CrossRef] [PubMed] 33. Pazini, F.L.; Cunha, M.P.; Rosa, J.M.; Colla, A.R.; Lieberknecht, V.; Oliveira, A.; Rodrigues, A.L. Creatine,
similar to ketamine, counteracts depressive-like behavior induced by corticosterone via PI3K/Akt/mTOR
Ppthway. Mol. Neurobiol. 2016, 53, 6818–6834. [CrossRef] [PubMed] 17 of 25 Biomolecules 2019, 9, 406 34. Cunha, M.P.; Pazini, F.L.; Lieberknecht, V.; Rodrigues, A.L.S. Subchronic administration of creatine produces
antidepressant-like effect by modulating hippocampal signaling pathway mediated by FNDC5/BDNF/Akt in
mice. J. Psychiatr. Res. 2018, 104, 78–87. [CrossRef] [PubMed] 35. Yuan, L.L.; Wauson, E.; Duric, V. Kinase-mediated signaling cascades in mood disorders and antidep
treatment. J. Neurogenet. 2016, 30, 178–184. [CrossRef] [PubMed] 36. Abelaira, H.M.; Reus, G.Z.; Neotti, M.V.; Quevedo, J. The role of mTOR in depression and antidepressant
responses. Life Sci. 2014, 101, 10–14. [CrossRef] 37. Bjorkholm, C.; Monteggia, L.M. BDNF—A key transducer of antidepressant effects. Neuropharmacology 2016,
102, 72–79. [CrossRef] [PubMed] 38. Cunha, M.P.; Pazini, F.L.; Oliveira, A.; Machado, D.G.; Rodrigues, A.L. Evidence for the involvement of
5-HT1A receptor in the acute antidepressant-like effect of creatine in mice. Brain Res. Bull. 2013, 95, 61–69. [CrossRef] 39. Cunha, M.P.; Machado, D.G.; Capra, J.C.; Jacinto, J.; Bettio, L.E.; Rodrigues, A.L. Antidepressant-like effect of
creatine in mice involves dopaminergic activation. J. Psychopharmacol. 2012, 26, 1489–1501. [CrossRef] 40. Cunha, M.P.; Pazini, F.L.; Rosa, J.M.; Ramos-Hryb, A.B.; Oliveira, A.; Kaster, M.P.; Rodrigues, A.L. Creatine,
similarly to ketamine, affords antidepressant-like effects in the tail suspension test via adenosine A1 and
A2A receptor activation. Purinergic Signal. 2015, 11, 215–227. [CrossRef] 41. Cunha, M.P.; Pazini, F.L.; Oliveira, A.; Bettio, L.E.; Rosa, J.M.; Machado, D.G.; Rodrigues, A.L. References [CrossRef] [PubMed] 18 of 25 18 of 25 Biomolecules 2019, 9, 406 53. Matta, J.; Czernichow, S.; Kesse-Guyot, E.; Hoertel, N.; Limosin, F.; Goldberg, M.; Zins, M.; Lemogne, C. Depressive symptoms and vegetarian diets: Results from the Constances cohort. Nutrients 2018, 10, 1695. [CrossRef] [PubMed] 54. Larsson, C.L.; Klock, K.S.; Nordrehaug Åstrøm, A.; Haugejorden, O.; Johansson, G. Lifestyle-related
characteristics of young low-meat consumers and omnivores in Sweden and Norway. J. Adol. Health 2002,
31, 190–198. [CrossRef] 55. Michalak, J.; Zhang, X.C.; Jacobi, F. Vegetarian diet and mental disorders: Results from a representative
community survey. Int. J. Behav. Nutr. Phys. Act. 2012, 9, 67. [CrossRef] [PubMed] 56. Hibbeln, J.R.; Northstone, K.; Evans, J.; Golding, J. Vegetarian diets and depressive symptoms among men. J. Affect. Disord. 2018, 225, 13–17. [CrossRef] 57. Northstone, K.; Joinson, C.; Emmett, P. Dietary patterns and depressive symptoms in a UK cohort of men
and women: A longitudinal study. Public Health Nutr. 2018, 21, 831–837. [CrossRef] 58. Jin, Y.; Kandula, N.R.; Kanaya, A.M.; Talegawkar, S.A. Vegetarian diet is inversely associated with prevalence
of depression in middle-older aged South Asians in the United States. Ethn. Health 2019, 1–8. [CrossRef] 9. Beezhold, B.L.; Johnston, C.S.; Daigle, D.R. Vegetarian diets are associated with healthy mood st
A cross-sectional study in Seventh Day Adventist adults. Nutr. J. 2010, 9, 26. [CrossRef] 0. Beezhold, B.; Radnitz, C.; Rinne, A.; DiMatteo, J. Vegans report less stress and anxiety than omniv
Nutr. Neurosci. 2015, 18, 289–296. [CrossRef] 61. Sanchez-Villegas, A.; Henriquez-Sanchez, P.; Ruiz-Canela, M.; Lahortiga, F.; Molero, P.; Toledo, E.;
Martinez-Gonzalez, M.A. A longitudinal analysis of diet quality scores and the risk of incident depression in
the SUN Project. BMC Med. 2015, 13, 197. [CrossRef] [PubMed] 62. Velten, J.; Bieda, A.; Scholten, S.; Wannemuller, A.; Margraf, J. Lifestyle choices and mental health:
A longitudinal survey with German and Chinese students. BMC Public Health 2018, 18, 632. [CrossRef]
[PubMed] 63. Rae, C.; Digney, A.L.; McEwan, S.R.; Bates, T.C. Oral creatine monohydrate supplementation improves brain
performance: A double–blind, placebo–controlled, cross–over trial. Proc. Biol. Sci. 2003, 270, 2147–2150. [CrossRef] [PubMed] 64. Goodwin, R.D.; Demmer, R.T.; Galea, S.; Lemeshow, A.R.; Ortega, A.N.; Beautrais, A.L. Asthma and suicide
behaviors: Results from the Third National Health and Nutrition Examination Survey (NHANES III). J. Psychiatr. Res. 2012, 46, 1002–1007. [CrossRef] [PubMed] 65. Kuo, C.J.; Chen, V.C.H.; Lee, W.C.; Chen, W.J.; Ferri, C.P.; Stewart, R.; Lai, T.J.; Chen, C.C.; Wang, T.N.;
Ko, Y.C. References The activation
of alpha1-adrenoceptors is implicated in the antidepressant-like effect of creatine in the tail suspension test. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 2013, 44, 39–50. [CrossRef] [PubMed] 42. El Yacoubi, M.; Costentin, J.; Vaugeois, J.M. Adenosine A2A receptors and depression. Neurology 2003, 61,
S82–S87. [CrossRef] [PubMed] 43. Cunha, M.P.; Lieberknecht, V.; Ramos-Hryb, A.B.; Olescowicz, G.; Ludka, F.K.; Tasca, C.I.; Gabilan, N.H.;
Rodrigues, A.L. Creatine affords protection against glutamate-induced nitrosative and oxidative stress. Neurochem. Int. 2016, 95, 4–14. [CrossRef] [PubMed] 44. Pouwer, F. Depression: A common and burdensome complication of diabetes that warrants the continued
attention of clinicians, researchers and healthcare policy makers. Diabetologia 2017, 60, 30–34. [CrossRef]
[PubMed] 45. Herder, C.; Furstos, J.F.; Nowotny, B.; Begun, A.; Strassburger, K.; Mussig, K.; Szendroedi, J.; Icks, A.;
Roden, M.; Group, G.D.S. Associations between inflammation-related biomarkers and depressive symptoms
in individuals with recently diagnosed type 1 and type 2 diabetes. Brain Behav. Immun. 2017, 61, 137–145. [CrossRef] [PubMed] 46. Roy, T.; Lloyd, C.E. Epidemiology of depression and diabetes: A systematic review. J. Affect. Disord. 2012,
142, S8–S21. [CrossRef] 47. Sivitz, W.I.; Yorek, M.A. Mitochondrial dysfunction in diabetes: From molecular mechanisms to functional
significance and therapeutic opportunities. Antioxid. Redox Signal. 2010, 12, 537–577. [CrossRef] 48. Bischof, M.G.; Mlynarik, V.; Brehm, A.; Bernroider, E.; Krssak, M.; Bauer, E.; Madl, C.; Bayerle-Eder, M.;
Waldhäusl, W.; Roden, M. Brain energy metabolism during hypoglycaemia in healthy and type 1 diabetic
subjects. Diabetologia 2004, 47, 648–651. 49. Metzler, B.; Schocke, M.F.; Steinboeck, P.; Wolf, C.; Judmaier, W.; Lechleitner, M.; Lukas, P.; Pachinger, O. Decreased high-energy phosphate ratios in the myocardium of men with diabetes mellitus type I. J. Cardiovasc. Magn. Reson. 2002, 4, 493–502. [CrossRef] 50. Scheuermann-Freestone, M.; Madsen, P.L.; Manners, D.; Blamire, A.M.; Buckingham, R.E.; Styles, P.;
Radda, G.K.; Neubauer, S.; Clarke, K. Abnormal cardiac and skeletal muscle energy metabolism in patients
with type 2 diabetes. Circulation 2003, 107, 3040–3046. [CrossRef] 51. Shivu, G.N.; Phan, T.T.; Abozguia, K.; Ahmed, I.; Wagenmakers, A.; Henning, A.; Narendran, P.; Stevens, M.;
Frenneaux, M. Relationship between coronary microvascular dysfunction and cardiac energetics impairment
in type 1 diabetes mellitus. Circulation 2010, 121, 1209–1215. [CrossRef] [PubMed] 52. Li, X.D.; Cao, H.J.; Xie, S.Y.; Li, K.C.; Tao, F.B.; Yang, L.S.; Zhang, J.Q.; Bao, Y.S. Adhering to a vegetarian diet
may create a greater risk of depressive symptoms in the elderly male Chinese population. J. Affect. Disord. 2019, 243, 182–187. References Asthma and suicide mortality in young people: A 12-year follow-up study. Am. J. Psychiatry 2010,
167, 1092–1099. [CrossRef] [PubMed] 66. Goodwin, R.D.; Lavoie, K.L.; Lemeshow, A.R.; Jenkins, E.; Brown, E.S.; Fedoronko, D.A. Depression, anxiety,
and COPD: The unexamined role of nicotine dependence. Nicotine Tob. Res. Off. J. Soc. Res. Nicotine Tob. 2011, 14, 176–183. [CrossRef] [PubMed] 67. Webb, R.T.; Kontopantelis, E.; Doran, T.; Qin, P.; Creed, F.; Kapur, N. Suicide risk in primary care patients
with major physical diseases: A case-control study. Arch. Gen. Psychiatry 2012, 69, 256–264. [CrossRef]
[PubMed] 68. Van den Bemt, L.; Schermer, T.; Bor, H.; Smink, R.; Van Weel-Baumgarten, E.; Lucassen, P.J.; Van Weel, C. The risk for depression comorbidity in patients with COPD. Chest 2009, 135, 108–114. [CrossRef] [PubMed]
69. Jensen, J.A.; Goodson, W.H.; Hopf, H.W.; Hunt, T.K. Cigarette smoking decreases tissue oxygen. Arch. Surg. 68. Van den Bemt, L.; Schermer, T.; Bor, H.; Smink, R.; Van Weel-Baumgarten, E.; Lucassen, P.J.; Van Weel, C. The risk for depression comorbidity in patients with COPD. Chest 2009, 135, 108–114. [CrossRef] [PubMed] 68. Van den Bemt, L.; Schermer, T.; Bor, H.; Smink, R.; Van Weel Baumgarten, E.; Lucassen, P.J.; Van Weel, C. The risk for depression comorbidity in patients with COPD. Chest 2009, 135, 108–114. [CrossRef] [PubMed]
69. Jensen, J.A.; Goodson, W.H.; Hopf, H.W.; Hunt, T.K. Cigarette smoking decreases tissue oxygen. Arch. Surg. 1991, 126, 1131–1134. [CrossRef] 69. Jensen, J.A.; Goodson, W.H.; Hopf, H.W.; Hunt, T.K. Cigarette smoking decreases tissue oxygen. Arch. Surg. 1991, 126, 1131–1134. [CrossRef] 70. Aubin, H.J.; Berlin, I.; Reynaud, M. Current smoking, hypoxia, and suicide. Am. J. Psychiatry 2011, 168,
326–327. [CrossRef] 71. Chaiton, M.O.; Cohen, J.E.; O′Loughlin, J.; Rehm, J. A systematic review of longitudinal studies on the
association between depression and smoking in adolescents. BMC Public Health 2009, 9, 356. [CrossRef]
[PubMed] 72. Hughes, J.R. Smoking and suicide: A brief overview. Drug Alcohol Depend. 2008, 98, 169–178. [CrossRef]
[PubMed] 73. Covey, L.S.; Berlin, I.; Hu, M.C.; Hakes, J.K. Smoking and suicidal behaviours in a sample of US adults with
low mood: A retrospective analysis of longitudinal data. BMJ Open 2012, 2, e000876. [CrossRef] [PubMed] 19 of 25 19 of 25 Biomolecules 2019, 9, 406 74. Young, S.N. Elevated incidence of suicide in people living at altitude, smokers and patients with chronic
obstructive pulmonary disease and asthma: Possible role of hypoxia causing decreased serotonin synthesis. J. Psychiatry Neurosci. 2013, 38, 423–426. References [CrossRef] [PubMed] 75. Sabic, H.; Kious, B.; Boxer, D.; Fitzgerald, C.; Riley, C.; Scholl, L.; McGlade, E.; Yurgelun-Todd, D.; Renshaw, P.F.;
Kondo, D.G. Effect of altitude on suicide rates among U.S. military veterans. High Alt. Med. Biol. 2018, 20,
171–177. [CrossRef] [PubMed] 76. Kious, B.M.; Kondo, D.G.; Renshaw, P.F. Living high and feeling low: Altitude, suicide, and depression. Harv. Rev. Psychiatry 2018, 26, 43–56. [CrossRef] 77. Kious, B.M.; Bakian, A.V.; Zhao, J.; Mickey, B.; Guille, C.; Renshaw, P.; Sen, S. Altitude and risk of depression
and anxiety: Findings from the Intern Health Study. Int. Rev. Psychiatry 2019, 14, 1–9. [CrossRef] 78. Kim, N.; Mickelson, J.B.; Brenner, B.E.; Haws, C.A.; Yurgelun-Todd, D.A.; Renshaw, P.F. Altitude,
gun ownership, rural areas, and suicide. Am. J. Psychiatry 2011, 168, 49–54. [CrossRef] 79. Kim, J.; Choi, N.; Lee, Y.J.; An, H.; Kim, N.; Yoon, H.K.; Lee, H.J. High altitude remains associated with
elevated suicide rates after adjusting for socioeconomic status: A study from South Korea. Psychiatry Investig. 2014, 11, 492–494. [CrossRef] 80. Gamboa, J.L.; Caceda, R.; Arregui, A. Is depression the link between suicide and high altitude? High Alt. Med. Biol. 2011, 12, 403–405. [CrossRef] 81. Cheng, D.C.; Mendenhall, T.I.; Brenner, B.E. Suicide rates strongly correlate with altitude. Acad. Emerg. Med. 2005, 12, 141. [CrossRef] 82. Cheng, D.; Yakobi, R.; Dobbins, W.N.; Neuman, K.; Brenner, B. Moderate altitude increases suicide deaths. Ann. Emerg. Med. 2002, 40, S55. 83. Riblet, N.B.; Gottlieb, D.J.; Watts, B.V.; Cornelius, S.L.; Fan, V.S.; Shi, X.; Shiner, B. Hypoxia-related risk factors
for death by suicide in a national clinical sample. Psychiatry Res. 2019, 273, 247–251. [CrossRef] [PubMed] 83. Riblet, N.B.; Gottlieb, D.J.; Watts, B.V.; Cornelius, S.L.; Fan, V.S.; Shi, X.; Shiner, B. Hypoxia-related risk factors
for death by suicide in a national clinical sample. Psychiatry Res. 2019, 273, 247–251. [CrossRef] [PubMed]
84. Brenner, B.; Cheng, D.; Clark, S.; Camargo, C.A. Positive association between altitude and suicide in 2584
U S counties High Alt Med Biol 2011 12 31 35 [CrossRef] [PubMed] 84. Brenner, B.; Cheng, D.; Clark, S.; Camargo, C.A. Positive association between altitude and suicide in 2584
U.S. counties. High Alt. Med. Biol. 2011, 12, 31–35. [CrossRef] [PubMed] 85. Betz, M.E.; Valley, M.A.; Lowenstein, S.R.; Hedegaard, H.; Thomas, D.; Stallones, L.; Honigman, B. Elevated
suicide rates at high altitude: Sociodemographic and health issues may be to blame. Suicide Life Threat. Behav. 2011, 41, 562–573. [CrossRef] 86. References Huber, R.S.; Coon, H.; Kim, N.; Renshaw, P.F.; Kondo, D.G. Altitude is a risk factor for completed suicide in
bipolar disorder. Med. Hypotheses 2014, 82, 377–381. [CrossRef] 87. Ha, H.; Tu, W. An ecological study on the spatially varying relationship between county-level suicide rates
and altitude in the United States. Int. J. Environ. Res. Public Health 2018, 15, 671. [CrossRef] 88. Brenner, B.E.; Cheng, D.; Muller, E.; Clark, S.; Camargo, C.A. Suicide rates strongly correlate with altitude:
A study of 3060 U.S. counties. Acad. Emerg. Med. 2006, 13, S195. [CrossRef] 89. Kanekar, S.; Bogdanova, O.V.; Olson, P.R.; Sung, Y.H.; D’Anci, K.E.; Renshaw, P.F. Hypobaric hypoxia induces
depression-like behavior in female Sprague-Dawley rats, but not in males. High Alt. Med. Biol. 2015, 16, 52–60. [CrossRef] 90. Bogdanova, O.V.; Abdullah, O.; Kanekar, S.; Bogdanov, V.B.; Prescot, A.P.; Renshaw, P.F. Neurochemical
alterations in frontal cortex of the rat after one week of hypobaric hypoxia. Behav. Brain Res. 2014, 263, 203–209. [CrossRef] 91. Sheth, C.; Ombach, H.; Olson, P.; Renshaw, P.F.; Kanekar, S. Increased anxiety and anhedonia in fem
following exposure to altitude. High Alt. Med. Biol. 2018, 19, 81–90. [CrossRef] [PubMed] 92. Kanekar, S.; Sheth, C.S.; Ombach, H.J.; Olson, P.R.; Bogdanova, O.V.; Petersen, M.; Renshaw, C.E.;
Sung, Y.H.; D′Anci, K.E.; Renshaw, P.F. Hypobaric hypoxia exposure in rats differentially alters antidepressant
efficacy of the selective serotonin reuptake inhibitors fluoxetine, paroxetine, escitalopram and sertraline. Pharm. Biochem. Behav. 2018, 170, 25–35. [CrossRef] [PubMed] 93. Shi, X.F.; Carlson, P.J.; Kim, T.S.; Sung, Y.H.; Hellem, T.L.; Fiedler, K.K.; Kim, S.E.; Glaeser, B.; Wang, K.; Zuo, C.S. Effect of altitude on brain intracellular pH and inorganic phosphate levels. Psychiatry Res. Neuroimaging 2014,
222, 149–156. [CrossRef] [PubMed] 94. Renshaw, P.F.; Prescot, A.; Ongur, D.; Huber, R.; Yurgelun-Todd, D. Suicide and brain chemical changes with
altitude. In Proceedings of the 6th Biennial Congress of The International Society of Affective Disorders,
London, UK, 19–22 June 2012. 20 of 25 20 of 25 Biomolecules 2019, 9, 406 95. Shao, L.; Martin, M.V.; Watson, S.J.; Schatzberg, A.; Akil, H.; Myers, R.M.; Jones, E.G.; Bunney, W.E.;
Vawter, M.P. Mitochondrial involvement in psychiatric disorders. Ann. Med. 2008, 40, 281–295. [CrossRef]
[PubMed] 96. Torrell, H.; Montana, E.; Abasolo, N.; Roig, B.; Gaviria, A.M.; Vilella, E.; Martorell, L. Mitochondrial DNA
(mtDNA) in brain samples from patients with major psychiatric disorders: Gene expression profiles, mtDNA
content and presence of the mtDNA common deletion. Am. J. Med. Genet. B Neuropsychiatr. References Genet. 2013, 162,
213–223. [CrossRef] [PubMed] (
t N )
b a
sa
p es
o
pat e ts w t
ajo psyc
at c d so de s: Ge e e p ess o
p o
es,
t N
content and presence of the mtDNA common deletion. Am. J. Med. Genet. B Neuropsychiatr. Genet. 2013, 162,
213–223. [CrossRef] [PubMed] 97. Rollins, B.; Martin, M.V.; Sequeira, P.A.; Moon, E.A.; Morgan, L.Z.; Watson, S.J.; Schatzberg, A.; Akil, H.;
Myers, R.M.; Jones, E.G.; et al. Mitochondrial variants in schizophrenia, bipolar disorder, and major
depressive disorder. PLoS ONE 2009, 4, e4913. [CrossRef] 98. Stine, O.C.; Luu, S.U.; Zito, M.; Casanova, M. The possible association between affective disorder and
partially deleted mitochondrial DNA. Biol. Psychiatry 1993, 33, 141–142. [CrossRef] 99. Bansal, Y.; Kuhad, A. Mitochondrial dysfunction in depression. Curr. Neuropharmacol. 2016, 14, 610–618. [CrossRef] 100. Fattal, O.; Link, J.; Quinn, K.; Cohen, B.H.; Franco, K. Psychiatric comorbidity in 36 adults with mitoch
cytopathies. CNS Spectr. 2007, 12, 429–438. [CrossRef] 101. Koene, S.; Kozicz, T.L.; Rodenburg, R.J.; Verhaak, C.M.; de Vries, M.C.; Wortmann, S.; van de Heuvel, L.;
Smeitink, J.A.; Morava, E. Major depression in adolescent children consecutively diagnosed with
mitochondrial disorder. J. Affect. Disord. 2009, 114, 327–332. [CrossRef] 102. Boles, R.G.; Burnett, B.B.; Gleditsch, K.; Wong, S.; Guedalia, A.; Kaariainen, A.; Eloed, J.; Stern, A.; Brumm, V. A high predisposition to depression and anxiety in mothers and other matrilineal relatives of children with
presumed maternally inherited mitochondrial disorders. Am. J. Med. Genet. B Neuropsychiatr. Genet 2005,
137, 20–24. [CrossRef] [PubMed] 103. Gardner, A.; Johansson, A.; Wibom, R.; Nennesmo, I.; von Döbeln, U.; Hagenfeldt, L.; Hällström, T. Alterations
of mitochondrial function and correlations with personality traits in selected major depressive disorder
patients. J. Affect. Disord. 2003, 76, 55–68. [CrossRef] 104. Agren, H.; Niklasson, F. Creatinine and creatine in CSF: Indices of brain energy metabolism in depression. Short note. J Neural Transm. 1988, 74, 55–59. [CrossRef] [PubMed] 105. Niklasson, F.; Agren, H. Brain energy metabolism and blood-brain barrier permeability in depressive patients:
Analyses of creatine, creatinine, urate, and albumin in CSF and blood. Biol. Psychiatry 1984, 19, 1183–1206. [PubMed] 106. Segal, M.; Avital, A.; Drobot, M.; Lukanin, A.; Derevenski, A.; Sandbank, S.; Weizman, A. Serum creatine
kinase level in unmedicated nonpsychotic, psychotic, bipolar and schizoaffective depressed patients. Eur. Neuropsychopharmacol. 2007, 17, 194–198. [CrossRef] 107. References Frontal white matter biochemical abnormalities in late-life major depression detected with
proton magnetic resonance spectroscopy. Am. J. Psychiatry 2002, 159, 630–636. [CrossRef] [PubMed] p
g
p
py
116. McEwen, A.M.; Burgess, D.T.; Hanstock, C.C.; Seres, P.; Khalili, P.; Newman, S.C.; Baker, G.B.; Mitchell, N.D.;
Khudabux-Der, J.; Allen, P.S.; et al. Increased glutamate levels in the medial prefrontal cortex in patients
with postpartum depression. Neuropsychopharmacology 2012, 37, 2428–2435. [CrossRef] [PubMed] 117. Pfleiderer, B.; Michael, N.; Erfurth, A.; Ohrmann, P.; Hohmann, U.; Wolgast, M.; Fiebich, M.; Arolt, V.;
Heindel, W. Effective electroconvulsive therapy reverses glutamate/glutamine deficit in the left anterior
cingulum of unipolar depressed patients. Psychiatry Res. Neuroimaging 2003, 122, 185–192. [CrossRef] 118. Portella, M.J.; de Diego-Adelino, J.; Gomez-Anson, B.; Morgan-Ferrando, R.; Vives, Y.; Puigdemont, D.;
Perez-Egea, R.; Ruscalleda, J.; Enric, A.; Perez, V. Ventromedial prefrontal spectroscopic abnormalities
over the course of depression: A comparison among first episode, remitted recurrent and chronic patients. J. Psychiatric Res. 2011, 45, 427–434. [CrossRef] 119. Rosa, C.E.; Soares, J.C.; Figueiredo, F.P.; Cavalli, R.C.; Barbieri, M.A.; Schaufelberger, M.S.; Salmon, C.E.G.;
Del-Ben, C.M.; Santos, A.C. Glutamatergic and neural dysfunction in postpartum depression using magnetic
resonance spectroscopy. Psychiatry Res. Neuroimaging 2017, 265, 18–25. [CrossRef] 120. Mirza, Y.; O’Neill, J.; Smith, E.A.; Russell, A.; Smith, J.M.; Banerjee, S.P.; Bhandari, R.; Boyd, C.; Rose, M.;
Ivey, J.; et al. Increased medial thalamic creatine-phosphocreatine found by proton magnetic resonance
spectroscopy in children with obsessive-compulsive disorder versus major depression and healthy controls. J. Child Neurol. 2006, 21, 106–111. [CrossRef] 121. Bradley, K.A.; Mao, X.; Case, J.A.; Kang, G.; Shungu, D.C.; Gabbay, V. Increased ventricular cerebrospinal
fluid lactate in depressed adolescents. Eur. Psychiatry 2016, 32, 1–8. [CrossRef] 122. Michael, N.; Erfurth, A.; Ohrmann, P.; Arolt, V.; Heindel, W.; Pfleiderer, B. Neurotrophic effects of
electroconvulsive therapy: A proton magnetic resonance study of the left amygdalar region in patients with
treatment-resistant depression. Neuropsychopharmacology 2003, 28, 720–725. [CrossRef] [PubMed] 123. Gruber, S.; Frey, R.; Mlynárik, V.; Stadlbauer, A.; Heiden, A.; Kasper, S.; Kemp, G.J.; Moser, E. Quantification
of metabolic differences in the frontal brain of depressive patients and controls obtained by 1H-MRS at 3
Tesla. Investig. Radiol. 2003, 38, 403–408. [CrossRef] [PubMed] 124. Gabbay, V.; Hess, D.A.; Liu, S.; Babb, J.S.; Klein, R.G.; Gonen, O. Lateralized caudate metabolic abnormalities
in adolescent major depressive disorder: A proton MR spectroscopy study. Am. J. Psychiatry 2007, 164,
1881–1889. [CrossRef] 125. References Buchsbaum, M.S.; Wu, J.; DeLisi, L.E.; Holcomb, H.; Kessler, R.; Johnson, J.; King, A.C.; Hazlett, E.;
Langston, K.; Post, R.M. Frontal cortex and basal ganglia metabolic rates assessed by positron emission
tomography with [18F] 2-deoxyglucose in affective illness. J. Affect. Disord. 1986, 10, 137–152. [CrossRef] 108. Baxter, L.R.; Schwartz, J.M.; Phelps, M.E.; Mazziotta, J.C.; Guze, B.H.; Selin, C.E.; Gerner, R.H.; Sumida, R.M. Reduction of prefrontal cortex glucose metabolism common to three types of depression. Arch. Gen. Psychiatry
1989, 46, 243–250. [CrossRef] 109. Martinot, J.L.; Hardy, P.; Feline, A.; Huret, J.D.; Mazoyer, B.; Attar-Levy, D.; Pappata, S.; Syrota, A. Left prefrontal
glucose hypometabolism in the depressed state: A confirmation. Am. J. Psychiatry 1990, 147, 1313–1317. [CrossRef] 110. Ho, A.P.; Gillin, J.C.; Buchsbaum, M.S.; Wu, J.C.; Abel, L.; Bunney, W.E., Jr. Brain glucose metabolism during
non-rapid eye movement sleep in major depression. A positron emission tomography study. Arch. Gen. Psychiatry
1996, 53, 645–652. [CrossRef] 111. Mayberg, H.S.; Liotti, M.; Brannan, S.K.; McGinnis, S.; Mahurin, R.K.; Jerabek, P.A.; Silva, J.A.; Tekell, J.L.;
Martin, C.C.; Lancaster, J.L.; et al. Reciprocal limbic-cortical function and negative mood: Converging PET
findings in depression and normal sadness. Am. J. Psychiatry 1999, 156, 675–682. [CrossRef] 112. Hosokawa, T.; Momose, T.; Kasai, K. Brain glucose metabolism difference between bipolar and unipolar
mood disorders in depressed and euthymic states. Prog. Neuropsychopharmacol. Biol. Psychiatry 2009, 33,
243–250. [CrossRef] [PubMed] 21 of 25 21 of 25 Biomolecules 2019, 9, 406 113. Auer, D.P.; Pütz, B.; Kraft, E.; Lipinski, B.; Schill, J.; Holsboer, F. Reduced glutamate in the anterior cingulate
cortex in depression: An in vivo proton magnetic resonance spectroscopy study. Biol. Psychiatry 2000, 47,
305–313. [CrossRef] 113. Auer, D.P.; Pütz, B.; Kraft, E.; Lipinski, B.; Schill, J.; Holsboer, F. Reduced glutamate in the anterior cingulate
cortex in depression: An in vivo proton magnetic resonance spectroscopy study. Biol. Psychiatry 2000, 47,
305–313. [CrossRef] 113. Auer, D.P.; Pütz, B.; Kraft, E.; Lipinski, B.; Schill, J.; Holsboer, F. Reduced glutamate in the anterior cingulate
cortex in depression: An in vivo proton magnetic resonance spectroscopy study. Biol. Psychiatry 2000, 47,
305–313. [CrossRef] 14. Farchione, T.R.; Moore, G.J.; Rosenberg, D.R. Proton magnetic resonance spectroscopic imaging in pedi
major depression. Biol. Psychiatry 2002, 52, 86–92. [CrossRef] 115. Kumar, A.; Thomas, A.; Lavretsky, H.; Yue, K.; Huda, A.; Curran, J.; Venkatraman, T.; Estanol, L.; Mintz, J.;
Mega, M.; et al. References 31P-Magnetic resonance spectroscopy and thyroid hormones in major depressive
disorder: Toward a bioenergetic mechanism in depression? Harv. Rev. Psychiatry 2003, 11, 51–63. [CrossRef]
[PubMed] 136. Forester, B.P.; Harper, D.G.; Jensen, J.E.; Ravichandran, C.; Jordan, B.; Renshaw, P.F.; Cohen, B.M. 31Phosphorus
magnetic resonance spectroscopy study of tissue specific changes in high energy phosphates before and after
sertraline treatment of geriatric depression. Int. J. Geriatr. Psychiatry 2009, 24, 788–797. [CrossRef] [PubMed] 137. Harper, D.G.; Joe, E.B.; Jensen, J.E.; Ravichandran, C.; Forester, B.P. Brain levels of high-energy phosphate
metabolites and executive function in geriatric depression. Int. J. Geriatr. Psychiatry 2016, 31, 1241–1249. [CrossRef] [PubMed] 138. Harper, D.G.; Jensen, J.E.; Ravichandran, C.; Perlis, R.H.; Fava, M.; Renshaw, P.F.; Iosifescu, D.V. Tissue
type-specific bioenergetic abnormalities in adults with major depression. Neuropsychopharmacology 2017, 42,
876–885. [CrossRef] 139. Pettegrew, J.W.; Levine, J.; Gershon, S.; Stanley, J.A.; Servan-Schreiber, D.; Panchalingam, K.; McClure, R.J. 31P-MRS study of acetyl-l-carnitine treatment in geriatric depression: Preliminary results. Bipolar Disord. 2002, 4, 61–66. [CrossRef] [PubMed] 140. Stork, C.; Renshaw, P.F. Mitochondrial dysfunction in bipolar disorder: Evidence from magnetic resonance
spectroscopy research. Mol. Psychiatry 2005, 10, 900–919. [CrossRef] [PubMed] 141. Hamakawa, H.; Kato, T.; Shioiri, T.; Inubushi, T.; Kato, N. Quantitative proton magnetic resonance
spectroscopy of the bilateral frontal lobes in patients with bipolar disorder. Psychol. Med. 1999, 29, 639–644. [CrossRef] 142. Cecil, K.M.; Delbello, M.P.; Sellars, M.C.; Strakowski, S.M. Proton magnetic resonance spectroscopy of the
frontal lobe and cerebellar vermis in children with a mood disorder and a familial risk for bipolar disorders. J. Am. Acad. Child Adolesc. Psychiatry 2003, 13, 545–555. [CrossRef] [PubMed] 143. Deicken, R.F.; Pegues, M.P.; Anzalone, S.; Feiwell, R.; Soher, B. Lower concentration of hippocampal
N-acetylaspartate in familial bipolar I disorder. Am. J. Psychiatry 2003, 160, 873–882. [CrossRef] [PubMed] 144. Port, J.D.; Unal, S.S.; Mrazek, D.A.; Marcus, S.M. Metabolic alterations in medication-free patients with bipolar
disorder: A 3T CSF-corrected magnetic resonance spectroscopic imaging study. Psychiatry Res. Neuroimaging
2008, 162, 113–121. [CrossRef] [PubMed] 145. Özdel, O.; Kalayci, D.; Sözeri-Varma, G.; Kiro˘glu, Y.; Tümkaya, S.; Toker-U˘gurlu, T. Neurochemical
metabolites in the medial prefrontal cortex in bipolar disorder: A proton magnetic resonance spectroscopy
study. Neural Regen. Res. 2012, 7, 2929–2936. [CrossRef] [PubMed] 146. Caetano, S.C.; Olvera, R.L.; Hatch, J.P.; Sanches, M.; Chen, H.H.; Nicoletti, M.; Stanley, J.A.; Fonseca, M.;
Hunter, K.; Lafer, B.; et al. Lower n-acetyl-aspartate levels in prefrontal cortices in pediatric bipolar disorder:
A 1H magnetic resonance spectroscopy study. J. References Nery, F.G.; Stanley, J.A.; Chen, H.H.; Hatch, J.P.; Nicoletti, M.A.; Monkul, E.S.; Matsuo, K.; Caetano, S.C.;
Peluso, M.A.; Najt, P.; et al. Normal metabolite levels in the left dorsolateral prefrontal cortex of unmedicated
major depressive disorder patients: A single voxel 1H spectroscopy study. Psychiatry Res. 2009, 174, 177–183. [CrossRef] [PubMed] 126. Li, H.; Xu, H.; Zhang, Y.; Guan, J.; Zhang, J.; Xu, C.; Shen, Z.; Xiao, B.; Liang, C.; Chen, K.; et al. Differential
neurometabolite alterations in brains of medication-free individuals with bipolar disorder and those with
unipolar depression: A two-dimensional proton magnetic resonance spectroscopy study. Bipolar Disord. 2016, 18, 583–590. [CrossRef] [PubMed] 127. Njau, S.; Joshi, S.H.; Espinoza, R.; Leaver, A.M.; Vasavada, M.; Marquina, A.; Woods, R.P.; Narr, K.L. Neurochemical correlates of rapid treatment response to electroconvulsive therapy in patients with major
depression. J. Psychiatry Neurosci. 2017, 42, 6–16. [CrossRef] [PubMed] 128. Venkatraman, T.N.; Krishnan, R.R.; Steffens, D.C.; Song, A.W.; Taylor, W.D. Biochemical abnormalities of the
medial temporal lobe and medial prefrontal cortex in late-life depression. Psychiatry Res. 2009, 172, 49–54. [CrossRef] [PubMed] 129. Kato, T.; Takahashi, S.; Shioiri, T.; Inubushi, T. Brain phosphorous metabolism in depressive disorders
detected by phosphorus-31 magnetic resonance spectroscopy. J. Affect. Disord. 1992, 26, 223–230. [CrossRef] 22 of 25 Biomolecules 2019, 9, 406 130. Moore, C.M.; Christensen, J.D.; Lafer, B.; Fava, M.; Renshaw, P.F. Lower levels of nucleoside triphosphate
in the basal ganglia of depressed subjects: A phosphorous-31 magnetic resonance spectroscopy study. Am. J. Psychiatry 1997, 154, 116–118. [CrossRef] 131. Volz, H.P.; Rzanny, R.; Riehemann, S.; May, S.; Hegewald, H.; Preussler, B.; Hubner, G.; Kaiser, W.A.; Sauer, H. 31P magnetic resonance spectroscopy in the frontal lobe of major depressed patients. Eur. Arch. Psychiatry
Clin. Neurosci. 1998, 248, 289–295. [CrossRef] 132. Renshaw, P.F.; Parow, A.M.; Hirashima, F.; Ke, Y.; Moore, C.M.; Frederick, B.; Fava, M.; Hennen, J.; Cohen, B.M. Multinuclear magnetic resonance spectroscopy studies of brain purines in major depression. Am. J. Psychiatry
2001, 158, 2048–2055. [CrossRef] [PubMed] 133. Kondo, D.G.; Sung, Y.H.; Hellem, T.L.; Fiedler, K.K.; Shi, X.F.; Jeong, E.K.; Renshaw, P.F. Open-label adjunctive
creatine for female adolescents with SSRI-resistant major depressive disorder: A 31-phosphorus magnetic
resonance spectroscopy study. J. Affect. Disord. 2011, 135, 354–361. [CrossRef] [PubMed] 134. Iosifescu, D.V.; Bolo, N.R.; Nierenberg, A.A.; Jensen, J.E.; Fava, M.; Renshaw, P.F. Brain bioenergetics and
response to triiodothyronine augmentation in major depressive disorder. Biol. Psychiatry 2008, 63, 1127–1134. [CrossRef] [PubMed] 135. Iosifescu, D.V.; Renshaw, P.F. References Am. Acad. Child Adolesc. Psychiatry 2011, 50, 85–94. [CrossRef] [PubMed] 147. Dager, S.R.; Friedman, S.D.; Parow, A.; Demopulos, C.; Stoll, A.L.; Lyoo, I.K.; Dunner, D.L.; Renshaw, P.F. Brain metabolic alterations in medication-free patients with bipolardisorder. Arch. Gen. Psychiatry 2004, 61,
450–458. [CrossRef] [PubMed] 23 of 25 Biomolecules 2019, 9, 406 148. Frye, M.A.; Watzl, J.; Banakar, S.; O’Neill, J.; Mintz, J.; Davanzo, P.; Fischer, J.; Chirichigno, J.W.; Ventura, J.;
Elman, S.; et al. Increased anterior cingulate/medial prefrontal cortical glutamate and creatine in bipolar
depression. Neuropsychopharmacology 2007, 32, 2490–2499. [CrossRef] 149. Patel, N.C.; Cecil, K.M.; Strakowski, S.M.; Adler, C.M.; DelBello, M.P. Neurochemical alterations in adolescent
bipolar depression: A proton magnetic resonance spectroscopy pilot study of the prefrontal cortex. J. Child
Adolesc. Psychopharmacol. 2008, 18, 623–627. [CrossRef] 150. Brambilla, P.; Stanley, J.A.; Nicoletti, M.A.; Sassi, R.B.; Mallinger, A.G.; Frank, E.; Kupfer, D.J.; Keshavan, M.S.;
Soares, J.C. 1H magnetic resonance spectroscopy investigation of the dorsolateral prefrontal cortex in bipolar
disorder patients. J. Affect. Disord. 2005, 86, 61–67. [CrossRef] 151. Olvera, R.L.; Caetano, S.C.; Fonseca, M.; Nicoletti, M.; Stanley, J.A.; Chen, H.H.; Hatch, J.P.; Hunter, K.;
Pliszka, S.R.; Soares, J.C. Low levels of n-acetyl aspartate in the left dorsolateral prefrontal cortex of pediatric
bipolar patients. J. Child Adolesc. Psychopharmacol. 2007, 17, 461–473. [CrossRef] 152. Moore, C.M.; Frazier, J.A.; Glod, C.A.; Breeze, J.L.; Dieterich, M.; Finn, C.T.; Frederick, B.D.; Renshaw, P.F. Glutamine and glutamate levels in children and adolescents with bipolar disorder. J. Am. Acad. Child Adolesc. Psychiatry 2007, 46, 524–534. [CrossRef] [PubMed] y
y
153. Öngür, D.; Prescot, A.P.; Jensen, J.E.; Cohen, B.M.; Renshaw, P.F. Creatine abnormalities in schizophrenia and
bipolar disorder. Psychiatry Res. Neuroimaging 2009, 172, 44–48. [CrossRef] [PubMed] 154. Kato, T.; Takahashi, S.; Shioiri, T.; Murashita, J.; Hamakawa, H.; Inubushi, T. Reduction of brain phosphocreatine
in bipolar II disorder detected by phosphorus-31 magnetic resonance spectroscopy. J. Affect. Disord. 1994, 31,
125–133. [CrossRef] 155. Weber, W.A.; Dudley, J.; Lee, J.H.; Strakowski, S.M.; Adler, C.M.; DelBello, M.P. A pilot study of alterations in
high energy phosphoryl compounds and intracellular pH in unmedicated adolescents with bipolar disorder. J. Affect. Disord. 2013, 150, 1109–1113. [CrossRef] [PubMed] 156. Dudley, J.; DelBello, M.P.; Weber, W.A.; Adler, C.M.; Strakowski, S.M.; Lee, J.H. Tissue-dependent cerebral
energy metabolism in adolescents with bipolar disorder. J. Affect. Disord. 2016, 191, 248–255. [CrossRef]
[PubMed] 157. Brennan, B.P.; Jensen, J.E.; Hudson, J.I.; Coit, C.E.; Beaulieu, A.; Pope, H.G., Jr.; Renshaw, P.F.; Cohen, B.M. References Parallel increases in phosphocreatine and total creatine in
human vastus lateralis muscle during creatine supplementation. Int. J. Sport Nutr. Exerc. Metab. 2007, 17,
624–634. [CrossRef] 169. Jones, A.M.; Wilkerson, D.P.; Fulford, J. Influence of dietary creatine supplementation on muscle
phosphocreatine kinetics during knee-extensor exercise in humans. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2009, 296, 1078–1087. [CrossRef] 170. Kondo, D.G.; Forrest, L.N.; Shi, X.; Sung, Y.H.; Hellem, T.L.; Huber, R.S.; Renshaw, P.F. Creatine target
engagement with brain bioenergetics: A dose-ranging phosphorus-31 magnetic resonance spectroscopy
study of adolescent females with SSRI-resistant depression. Amino Acids 2016, 1941–1954. [CrossRef] 171. Bender, A.; Koch, W.; Elstner, M.; Schombacher, Y.; Bender, J.; Moeschl, M.; Gekeler, F.; Muller-Myhsok, B.;
Gasser, T.; Tatsch, K.; et al. Creatine supplementation in Parkinson disease: A placebo-controlled randomized
pilot trial. Neurology 2006, 67, 1262–1264. [CrossRef] 172. Kieburtz, K.; Tilley, B.C.; Elm, J.J.; Babcock, D.; Hauser, R.; Ross, G.W.; Augustine, A.H.; Augustine, E.U.;
Aminoff, M.J.; Bodis-Wollner, I.G. Effect of creatine monohydrate on clinical progression in patients with
Parkinson disease: A randomized clinical trial. JAMA 2015, 313, 584–593. [CrossRef] [PubMed] 173. Arnold, L.M. Understanding fatigue in major depressive disorder and other medical disorders. Psychosomatics
2008, 49, 185–190. [CrossRef] [PubMed] 174. Stahl, S.M.; Zhang, L.; Damatarca, C.; Grady, M. Brain circuits determine destiny in depression: A novel
approach to the psychopharmacology of wakefulness, fatigue, and executive dysfunction in major depressive
disorder. J. Clin. Psychiatry 2003, 64, 6–17. [PubMed] 175. Kato, T.; Murashita, J.; Shioiri, T.; Inubushi, T.; Kato, N. Relationship of energy metabolism detected by
31P-MRS in the human brain with mental fatigue. Neuropsychobiology 1999, 39, 214–218. [CrossRef] [PubMed]
176. Watanabe, A.; Kato, N.; Kato, T. Effects of creatine on mental fatigue and cerebral hemoglobin oxygenation. N
i R
2002 42 279 285 [C
R f] 175. Kato, T.; Murashita, J.; Shioiri, T.; Inubushi, T.; Kato, N. Relationship of energy metabolism detected by
31P-MRS in the human brain with mental fatigue. Neuropsychobiology 1999, 39, 214–218. [CrossRef] [PubMed] 31P-MRS in the human brain with mental fatigue. Neuropsychobiology 1999, 39, 214–218. [CrossRef] [PubMed]
176. Watanabe, A.; Kato, N.; Kato, T. Effects of creatine on mental fatigue and cerebral hemoglobin oxygenation. Neurosci. Res. 2002, 42, 279–285. [CrossRef] 176. Watanabe, A.; Kato, N.; Kato, T. Effects of creatine on mental fatigue and cerebral hemoglobin oxygenation. Neurosci. Res. 2002, 42, 279–285. [CrossRef] 177. References A
placebo-controlled trial of acetyl-l-carnitine and alpha-lipoic acid in the treatment of bipolar depression. J. Clin. Psychopharmacol. 2013, 33, 627–635. [CrossRef] [PubMed] y
p
158. Deicken, R.F.; Fein, G.; Weiner, M.W. Abnormal frontal lobe phosphorous metabolism in bipolar disorder. Am. J. Psychiatry 1995, 152, 915–918. [CrossRef] [PubMed] 159. Du, F.; Yuksel, C.; Chouinard, V.A.; Huynh, P.; Ryan, K.; Cohen, B.M.; Öngür, D. Abnormalities in high-energy
phosphate metabolism in first-episode bipolar disorder measured using 31P-magnetic resonance spectroscopy. Biol. Psychiatry 2017, 84, 797–802. [CrossRef] 160. Jensen, J.E.; Daniels, M.; Haws, C.; Bolo, N.R.; Lyoo, I.K.; Yoon, S.J.; Cohen, B.M.; Stoll, A.L.; Rusche, J.R.;
Renshaw, P.F. Triacetyluridine (TAU) decreases depressive symptoms and increases brain pH in bipolar
patients. Exp. Clin. Psychopharmacol. 2008, 16, 199–206. [CrossRef] 161. Murashita, J.; Kato, T.; Shioiri, T.; Inubushi, T.; Kato, N. Altered brain energy metabolism in lithium-resistant
bipolar disorder detected by photic stimulated 31P-MR spectroscopy. Psychol. Med. 2000, 30, 107–115. [CrossRef] 162. Shi, X.F.; Carlson, P.J.; Sung, Y.H.; Fiedler, K.K.; Forrest, L.N.; Hellem, T.L.; Huber, R.S.; Kim, S.E.; Zuo, C.;
Jeong, E.K.; et al. Decreased brain PME/PDE ratio in bipolar disorder: A preliminary 31P magnetic resonance
spectroscopy study. Bipolar Disord. 2015, 17, 743–752. [CrossRef] [PubMed] 163. Yuksel, C.; Du, F.; Ravichandran, C.; Goldbach, J.R.; Thida, T.; Lin, P.; Dora, B.; Gelda, J.; O’Connor, L.;
Sehovic, S.; et al. Abnormal high-energy phosphate molecule metabolism during regional brain activation in
patients with bipolar disorder. Mol. Psychiatry 2015, 20, 1079–1084. [CrossRef] [PubMed] 164. Sikoglu, E.M.; Jensen, J.E.; Vitaliano, G.; Liso Navarro, A.A.; Renshaw, P.F.; Frazier, J.A.; Moore, C.M. Bioenergetic measurements in children with bipolar disorder: A pilot 31P magnetic resonance spectroscopy
study. PLoS ONE 2013, 8, e54536. [CrossRef] [PubMed] 165. Dechent, P.; Pouwels, P.J.; Wilken, B.; Hanefeld, F.; Frahm, J. Increase of total creatine in human brain after
oral supplementation of creatine-monohydrate. Am. J. Physiol. 1999, 277, 698–704. [CrossRef] [PubMed] 24 of 25 24 of 25 Biomolecules 2019, 9, 406 166. Lyoo, I.K.; Kong, S.W.; Sung, S.M.; Hirashima, F.; Parow, A.; Hennen, J.; Cohen, B.M.; Renshaw, P.F. Multinuclear magnetic resonance spectroscopy of high-energy phosphate metabolites in human brain
following oral supplementation of creatine-monohydrate. Psychiatry Res. 2003, 123, 87–100. [CrossRef] 167. Ipsiroglu, O.S.; Stromberger, C.; Ilas, J.; Hoger, H.; Muhl, A.; Stockler-Ipsiroglu, S. Changes of tissue creatine
concentrations upon oral supplementation of creatine-monohydrate in various animal species. Life Sci. 2001,
69, 1805–1815. [CrossRef] 168. Brault, J.J.; Towse, T.F.; Slade, J.M.; Meyer, R.A. References McMorris, T.; Harris, R.C.; Swain, J.; Corbett, J.; Collard, K.; Dyson, R.J.; Dye, L.; Hodgson, C.; Draper, N. Effect of creatine supplementation and sleep deprivation, with mild exercise, on cognitive and psychomotor
performance, mood state, and plasma concentrations of catecholamines and cortisol. Psychopharmacology
2006, 185, 93–103. [CrossRef] 178. McMorris, T.; Harris, R.C.; Howard, A.N.; Langridge, G.; Hall, B.; Corbett, J.; Dicks, M.; Hodgson, C. Creatine
supplementation, sleep deprivation, cortisol, melatonin and behavior. Physiol. Behav. 2007, 90, 21–28. [CrossRef] [PubMed] 179. Rawson, E.S.; Lieberman, H.R.; Walsh, T.M.; Zuber, S.M.; Harhart, J.M.; Matthews, T.C. Creatine
supplementation does not improve cognitive function in young adults. Physiol. Behav. 2008, 95, 130–134. [CrossRef] 180. McMorris, T.; Mielcarz, G.; Harris, R.C.; Swain, J.P.; Howard, A. Creatine supplementation and cognitive
performance in elderly individuals. Neuropsychol. Dev. Cogn. B Aging Neuropsychol. Cogn. 2007, 14, 517–528. [CrossRef] [
]
181. Kaptsan, A.; Odessky, A.; Osher, Y.; Levine, J. Lack of efficacy of 5 grams daily of creatine in schizophrenia:
A randomized, double-blind, placebo-controlled trial. J. Clin. Psychiatry 2007, 68, 881–884. [CrossRef]
182. Amital, D.; Vishne, T.; Roitman, S.; Kotler, M.; Levine, J. Open study of creatine monohydrate in
t
t
t
i t
t
tt
ti
t
di
d
J Cli
P
hi t
2006 67 836 837 [C
R f] [P bM d] 181. Kaptsan, A.; Odessky, A.; Osher, Y.; Levine, J. Lack of efficacy of 5 grams daily of creatine in schizophrenia:
A randomized, double-blind, placebo-controlled trial. J. Clin. Psychiatry 2007, 68, 881–884. [CrossRef] p
J
y
y
[
]
182. Amital, D.; Vishne, T.; Roitman, S.; Kotler, M.; Levine, J. Open study of creatine monohydrate in
treatment-resistant posttraumatic stress disorder. J. Clin. Psychiatry 2006, 67, 836–837. [CrossRef] [PubMed]
183. Thieme, K.; Turk, D.C.; Flor, H. Comorbid depression and anxiety in fibromyalgia syndrome: Relationship to 182. Amital, D.; Vishne, T.; Roitman, S.; Kotler, M.; Levine, J. Open study of creatine monohydrate in
treatment-resistant posttraumatic stress disorder. J. Clin. Psychiatry 2006, 67, 836–837. [CrossRef] [PubMed] 183. Thieme, K.; Turk, D.C.; Flor, H. Comorbid depression and anxiety in fibromyalgia syndrome: Relationship to
somatic and psychosocial variables. Psychosom. Med. 2004, 66, 837–844. [CrossRef] [PubMed] 184. Leader, A.; Amital, D.; Rubinow, A.; Amital, H. An open-label study adding creatine monohydrate to ongoing
medical regimens in patients with the fibromyalgia syndrome. Ann. N. Y. Acad. Sci. 2009, 1173, 829–836. [CrossRef] [PubMed] 25 of 25 Biomolecules 2019, 9, 406 25 of 25 185. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/). References Amital, D.; Vishne, T.; Rubinow, A.; Levine, J. Observed effects of creatine monohydrate in a patient with
depression and fibromyalgia. Am. J. Psychiatry 2006, 163, 1840–1841. [CrossRef] [PubMed] 186. Alves, C.R.; Santiago, B.M.; Lima, F.R.; Otaduy, M.C.; Calich, A.L.; Tritto, A.C.; de Sa Pinto, A.L.; Roschel, H.;
Leite, C.C.; Benatti, F.B.; et al. Creatine supplementation in fibromyalgia: A randomized, double-blind,
placebo-controlled trial. Arthritis Care Res. 2013, 65, 1449–1459. [CrossRef] [PubMed] p
187. Roitman, S.; Green, T.; Osher, Y.; Karni, N.; Levine, J. Creatine monohydrate in resistant depression:
A preliminary study. Bipolar Disord. 2007, 9, 754–758. [CrossRef] [PubMed] 188. Lyoo, I.K.; Yoon, S.; Kim, T.S.; Hwang, J.; Kim, J.E.; Won, W.; Bae, S.; Renshaw, P.F. A randomized, double-blind
placebo-controlled trial of oral creatine monohydrate augmentation for enhanced response to a selective
serotonin reuptake inhibitor in women with major depressive disorder. Am. J. Psychiatry 2012, 169, 937–945. [CrossRef] [PubMed] 189. Nemets, B.; Levine, J. A pilot dose-finding clinical trial of creatine monohydrate augmentation to
SSRIs/SNRIs/NASA antidepressant treatment in major depression. Int. Clin. Psychopharmacol. 2013, 28, 127–133. [CrossRef] [PubMed] 190. Kious, B.M.; Sabic, H.; Sung, Y.H.; Kondo, D.G.; Renshaw, P. An open-label pilot study of combined
augmentation with creatine monohydrate and 5-hydroxytryptophan for selective serotonin reuptake inhibitor-
or serotonin-norepinephrine reuptake inhibitor-resistant depression in adult women. J. Clin. Psychopharmacol. 2017, 37, 578–583. [CrossRef] [PubMed] 191. Toniolo, R.A.; Fernandes, F.B.F.; Silva, M.; Dias, R.S.; Lafer, B. Cognitive effects of creatine monohydrate
adjunctive therapy in patients with bipolar depression:
Results from a randomized, double-blind,
placebo-controlled trial. J. Affect. Disord. 2017, 224, 69–75. [CrossRef] 192. Toniolo, R.A.; Silva, M.; Fernandes, F.B.F.; Amaral, J.; Dias, R.D.S.; Lafer, B. A randomized, double-blind,
placebo-controlled, proof-of-concept trial of creatine monohydrate as adjunctive treatment for bipolar
depression. J. Neural Transm. 2018, 125, 247–257. [CrossRef] [PubMed] 193. Hellem, T.L.; Sung, Y.H.; Shi, X.F.; Pett, M.A.; Latendresse, G.; Morgan, J.; Huber, R.S.; Kuykendall, D.;
Lundberg, K.J.; Renshaw, P.F. Creatine as a novel treatment for depression in females using methamphetamine:
A pilot study. J. Dual Diagn. 2015, 11, 189–202. [CrossRef] [PubMed] © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/). © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
|
https://openalex.org/W4298874644
|
https://www.scielo.br/j/rsp/a/fyTSjqS3vyQn5hDYn6SnrRQ/?lang=pt&format=pdf
|
Portuguese
| null |
Hipovitaminose A em crianças de áreas rurais do semi-árido baiano
|
Revista de saúde pública/Revista de Saúde Pública
| 1,995
|
cc-by
| 4,007
|
Separatas/Reprints: Matildes da Silva Prado - Escola de Nutrição da Universidade Federal da Bahia - Rua Araújo Pinho, 32 - 40110-
150 - Canela - Salvador, BA - Brasil - Fax: (071) 245.0587
Recebido em 29.3.1994. Reapresentado em 23.4. 1995. Aprovado em 27. 6. 1995. Matildes da Silva Prado, Ana Marlúcia Oliveira Assis, Maisa Cruz Martins,
Maria da Purificação Araújo Nazaré, Ioná F. Bonfim Rezende,
Maria Ester Pereira Conceição Matildes da Silva Prado, Ana Marlúcia Oliveira Assis, Maisa Cruz Martins,
Maria da Purificação Araújo Nazaré, Ioná F. Bonfim Rezende,
Maria Ester Pereira Conceição Escola de Nutrição da Universidade Federal da Bahia- Brasil (M. S. P., A. M. O. A.),
Secretaria de Saúde do Estado - Salvador - Brasil (M. C. M., M. P. A. N.),
Conselho Nacional de Desenvolvimento Tecnológico/CNPq-Brasília, D. F. - Brasil
(I. F. B. R., M. E. P. C. - bolsistas) Objetivou-se avaliar a distribuição e a magnitude da deficiência de vitamina A e o consumo dietético de 161 crianças de
6 a 72 meses de idade, de áreas rurais do Município de Cansanção-Bahia, Brasil. Os níveis de retinol sérico foram medidos
pelo método espectrofotométrico (Bessey-Lowry modificado por Araújo e Flores, 1978). A média do retinol sérico distribuiu-
se homogeneamente entre as diferentes faixas etárias. Níveis inadequados de retinol sérico (deficiente <10,0 mg/dl e baixos
<20,0 mg/dl) foram detectados em 44,7% das crianças, caracterizando a deficiência como problema de saúde pública. Os
níveis de retinol sérico não mostraram associação estatisticamente significante com sexo e idade das crianças, contudo
as menores de 24 meses apresentaram prevalência mais alta de níveis inadequados. A principal fonte de vitamina A,
disponível para essas crianças, é representada pelos carotenóides, em especial beta-caroteno. Foi observada maior
diversificação no consumo dos alimentos de conteúdos moderado e baixo em vitamina A no grupo de 24 a 72 meses de
idade, sem contudo assegurar níveis adequados de retinol sérico para este grupo etário. Deficiência de Vitamina A, epidemiologia. Inquéritos sobre dieta. População rural. Sommer e col.30, 1986; West e col.33, 1991;
Rahmathullah e col.25, 1990; Milton e col.18, 1987;
Barreto e col. 4,1994). Sommer e col.30, 1986; West e col.33, 1991;
Rahmathullah e col.25, 1990; Milton e col.18, 1987;
Barreto e col. 4,1994). Introdução A vitamina A é tradicionalmente conhecida como
um micronutriente essencial na manutenção da inte-
gridade do sistema ocular (Sommer e col.30, 1986;
Olson22, 1986; WHO16, 1982), sistema imune
(Nauss21,1986), divisão e diferenciação celular (De
Luca e col.9, 1989). Essa deficiência geralmente apresenta-se acompa-
nhada de outras carências nutricionais, e a desnutrição
energético protéica é um exemplo (Venkataswamy e
col.31 , 1977). É conhecido também que o processo
metabólico, que envolve a vitamina A e seus precurso-
res, depende da biodisponibilidade de outros nutrien-
tes; a diminuição das vitaminas C e E na dieta contribui
com a oxidação da vitamina A na luz intestinal e a
carência de lipídeos compromete a absorção desse
micronutriente em especial dos carotenóides. O avanço no conhecimento sobre esse micronu-
triente permitiu estabelecer, também, a sua associ-
ação com a morbi-mortabilidade infantil; esta asso-
ciação tem sido demonstrada em estudos observaci-
onais (Sommer e col.29,1983; Milton e col.18,1987;
El Bushra e col.10,1992). Estudos de intervenção,
controlados, envolvendo crianças menores de seis
anos de idade de áreas onde existe a deficiência nas
formas clínicas ou subclínicas, têm confirmado a
redução na morbi-mortalidade para o grupo
suplementado quando comparado com o controle
(Muhilal e col.19, 1988; Daulaire e col.8,1992; p
Estudos desenvolvidos em vários países têm
demonstrado que a deficiência está ainda associada
com o desmame precoce e o consumo inadequado
de alimentos fontes de vitamina A preformada ou
carotenóides (Mele e col.17,1991; Newman20,1993). Esses fatores podem explicar a ampla difusão da
deficiência de vitamina A nos países periféricos, onde se estima que 43 milhões das crianças menores
de cinco anos de idade apresentam deficiência desse
micronutriente (Vital32, 1991). às escolas das localidades, com as crianças em
jejum. Compareceram 223 crianças para a coleta de
sangue; entretanto, não foi possível dosar o retinol
em 62 delas, porque a quantidade de sangue foi
insuficiente ou a criança não colaborou. Assim, o
estudo foi realizado com 161 crianças. Existem evidências de que se a renda e o nível
educacional elevam-se, a dieta ingerida torna-se mais
diversificada e as manisfestações da deficiência A
diminuem e/ou não aparecem, (Beaton e col.6,1992). Para o estudo da ingestão dietética, foi constitu-
ída uma subamostra aleatória, em relação à popula-
ção de estudo, representando 76,8% das crianças
com informações da dosagem do retinol. * Dra. Leonor Maria Pacheco Santos - Escola de Nutrição da
Universidade Federal da Bahia (Comunicação pessoal) Avaliação Bioquímica g
O presente estudo teve como objetivo avaliar a
distribuição e magnitude da deficiência de vitamina
A e o consumo dietético de crianças de seis a setenta
e dois meses de idade, residentes em áreas rurais do
Município de Cansanção-Bahia. De cada criança, em jejum, foram coletados 5ml
de sangue por venopunção, utilizando-se material
descartável. As amostras de sangue foram colocadas
em tubos de vacutener, devidamente protegidas da
luz. Após a retração do coágulo (cerca de 20 min após
a coleta), este material foi centrifugado a 7.000 rpm
durante 10 min, para separação do soro; e imediata-
mente congelado a -15 °C. As amostras foram trans-
portadas sob refrigeração em caixas de isopor, cuida-
dosamente lacradas, até o Laboratório de Bioquímica
da Nutrição da UFBA, para análise. O método
bioquímico espectrofotométrico de Bessey-Lowry,
modificado por Araújo e Flores2 (1978), foi adotado
para determinar os níveis de retinol sérico. As amos-
tras foram dosadas em duplicata. População Integra o presente estudo a população infantil de
6 a 72 meses de idade, cadastradas pelas Associa-
ções de Pequenos Agricultores, vinculadas ao Pro-
jeto Cansanção (Gaudenzi e col.13, 1982), oriundas
de famílias de pequenos produtores rurais das loca-
lidades do Município de Cansanção-Bahia: Caeta-
no, Capoeira, Lagoa das Moças e Lage de Gameleira. Após conhecer os objetivos da investigação e os
procedimentos para o diagnóstico da deficiência de
vitamina A, o voluntário responsável pela criança
assinou um termo de consentimento e compareceu Devido à baixa prevalência de nível de retinol
sérico deficiente, optou-se por agregar as classifi-
cações "baixa" e "deficiente" na categoria de ní-
veis retinol sérico "inadequado", para fins de aná-
lise estatística. Introdução Os dados
foram coletados por professores e estudantes da
Escola de Nutrição da UFBA, no período de dezem-
bro de 1992 a janeiro de 1993, época de safra de
alimentos fontes de vitamina A. Não existem dados que caracterizem a distribui-
ção e severidade da deficiência de vitamina A para
toda a população brasileira; contudo, estudos obser-
vacionais isolados registram para a região Nordeste
inadequação dos níveis séricos de retinol, variando
de 14,7 a 54,7%* (Batista Filho e Torres5, 1982);
sinais clínicos foram detectados na década de 80 para
essa mesma região (Santos e col.28, 1983). Caracterização da Área O Município de Cansanção está situado no Nor-
deste do Estado da Bahia, numa das regiões mais
secas e quentes do trópico semi-árido, a uma distân-
cia de 350 km da capital, com superfície de 1.317
km2. Conforme o Censo Demográfico de 1991,
apresenta uma população de aproximadamente
30.800 habitantes, sendo 23.900 residentes na zona
rural e 6.900 na área urbana (IBGE12, 1991). Para interpretação dos resultados utilizou-se os
critérios propostos pelo Interdepartmental
Committee on Nutrition for National Defense
(ICNND14, 1963) que classifica os níveis de retinol
em 4 categorias: alto (> 50,0 mg/dl), aceitável (20,0
a 49,9 mg/dl), baixo (10,0 a 19,9 mg/dl) e deficiente
(< 10 mg/dl). A caracterização da deficiência de
vitamina A como um problema de saúde pública foi
baseada nos critérios recomendados pela Pan Ame-
rican Health Organization/ World Health
Organization (PAHO/WHO23, 1970). Segundo es-
sas instituições, a deficiência de vitamina A consti-
tui problema de saúde pública quando >5,0% ou
15,0% ou mais da população apresentarem níveis
sérico de retinol < 10,0 mg/dl ou < 20 mg/dl, respec-
tivamente. A economia do município tem como sustentácu-
lo as atividades agrícolas baseadas no cultivo de
mandioca, milho, feijão e sisal; a atividade secundá-
ria e complementar é representada pela ovinocultura. A pecuária é exercida de forma extensiva, por pe-
quena parcela de médios e grandes proprietários
existentes na área (IBGE12, 1991). Inquérito Dietético O método recordatório de 24h foi usado para
estimar a ingestão de macro e micronutrientes con-
sumidos pelas crianças. A mãe ou o responsável pela criança foi entrevistada em sua residência por
nutricionistas e estudantes devidamente treinados. Como recurso para ajudar à mãe a recordar as
porções de alimentos servidos e aumentar a confia-
bilidade das informações (Witschi34, 1990), foi uti-
lizado um álbum com desenhos de alimentos e suas
dimensões e medidas-padrão de líquidos (Araújo e
col.3,1993). A freqüência alimentar foi outro méto-
do de inquérito dietético adotado para estimar o
consumo mensal, semanal e diário de alimentos
fontes de vitamina A. Utilizou-se a proposta do
International Vitamin A Consultative Group
(IVACG15, 1989) que classifica os alimentos con-
forme o conteúdo de retinol equivalente, em alto,
moderado e baixo, para caracterizar o padrão de
consumo de vitamina A. pela criança foi entrevistada em sua residência por
nutricionistas e estudantes devidamente treinados. Como recurso para ajudar à mãe a recordar as
porções de alimentos servidos e aumentar a confia-
bilidade das informações (Witschi34, 1990), foi uti-
lizado um álbum com desenhos de alimentos e suas
dimensões e medidas-padrão de líquidos (Araújo e
col.3,1993). A freqüência alimentar foi outro méto-
do de inquérito dietético adotado para estimar o
consumo mensal, semanal e diário de alimentos
fontes de vitamina A. Utilizou-se a proposta do
International Vitamin A Consultative Group
(IVACG15, 1989) que classifica os alimentos con-
forme o conteúdo de retinol equivalente, em alto,
moderado e baixo, para caracterizar o padrão de
consumo de vitamina A. Infelizmente a falta de informação nas tabelas de
composição de alimentos do país impossibilita
quantificar a contribuição específica dos carotenóides
na dieta da população estudada. Contudo, os con-
sultores do IVACG, baseados em informações da
FAO, agruparam os alimentos vegetais segundo a
percetagem de beta-caroteno, em três categorias:
alta, moderada e baixa, permitindo caracterizar,
ainda que grosseiramente, o padrão de consumo
deste micronutriente. A distribuição dos níveis séricos de retinol é
apresentada na Tabela 2. Níveis séricos de retinol
considerados deficientes e baixos foram detectados
em 4,3 e 40,4% das crianças respectivamente,
totalizando 44,7% dos níveis considerados inade-
quados. Não foi identificado nenhum caso de nível
de retinol sérico considerado alto. Análise Estatística A análise quali-quantitativa da dieta foi realiza-
da através dos "softwares" Sistema de Apoio em
Nutrição, versão 1.0, desenvolvido pela Escola
Paulista de Medicina, e do Epi-Info. Os resultados
foram comparados à ingestão diária recomendada
pela Organização das Nações Unidas para a Agri-
cultura e Alimentos e Organização Mundial de
Saúde (FAO/OMS11, 1991). Os resultados do inquérito dietético (recordatório
de 24 h) estão apresentados na Tabela 5. O consumo
de energia, expressa em percentagem das recomen-
dações dietéticas permitidas, apresentou valor abai-
xo do recomendado para todas as faixas etárias;
ressalte-se que a energia proveniente do consumo
de coco de ouricuri não foi computada por ser este
alimento consumido "ad libitum", o que pode ter
subestimado este cálculo. O consumo da proteína
ultrapassou a recomendação para as crianças de 24
a 72 meses. A ingestão média de ferro foi inadequa-
da para as crianças menores de 36 meses de idade. A mais baixa inadequação do consumo de vitamina As análises estatísticas foram realizadas utilizan-
do-se o programa SPSS-PC+ e DEPID versão 2.12,
para cálculo do intervalo de confiança. Devido a
distribuição não homogênea dos níveis de retinol
sérico, optou-se em utilizar a média geométrica para
este indicador bioquímico. A prevalência e a média
foram as estatísticas utilizadas para detectar a ocor-
rência do evento, e o teste de qui-quadrado e a análise
de variância foram adotados, respectivamente, para
testar a diferença entre as proporções e as várias
médias, a um nível de significância de 5,0%. Inquérito Dietético A adequação dos níveis séricos de retinol, se-
gundo a faixa etária, não mostrou associação com a
idade das crianças (p=0,06); contudo aquelas maio-
res de 60 meses apresentaram a menor taxa de
inadequação (Tabela 3). A deficiência da vitamina
A distribui-se homogeneamente entre os meninos e
meninas (p=0,93) (Tabela 4). Resultados A média e o desvio-padrão dos níveis séricos do
retinol, segundo a faixa etária, estão apresentados
na Tabela l. Os menores valores de retinol sérico
foram encontrados para os menores de 12 meses de
idade, contudo nenhuma diferença estatisticamente
significante foi detectada entre as médias (p=0,31). vitamina A na dieta dos pré-escolares é representa-
do pelo fígado; pequena proporção (7,1%) das cri-
anças menores de dois anos consome este alimento
urna vez por semana. Para as maiores de dois anos,
este percentual eleva-se para 24,2%. Dos alimentos de conteúdo moderado em vita-
mina A, somente a batata doce e a manga atingem
maior percentual de consumo alimentar no grupo de
crianças menores de dois anos de idade. Para as
crianças de 24 a 72 meses de idade, verifica-se
maior diversificação no consumo destes alimentos
(Tabela 6 e 7 ). Os alimentos que compõem a lista de baixo
conteúdo em vitamina A são consumidos pelas
crianças dos dois grupos etários, contudo a maior
freqüência foi observada para o grupo de 24 a 72
meses de idade. Comentários Segundo a definição do PAHO/WHO23 (1970), a
deficiência da vitamina A, para as crianças rurais das
localidades do semi-árido estudado, constitui proble-
ma de saúde pública, desde quando foi detectado, C foi observada para os menores de 12 meses. A
adequação do consumo deste micronutriente au-
menta com a idade, sem contudo atingir os valores
recomendados (Tabela 4). As Tabelas 6 e 7 ilustram a freqüência do consu-
mo de alimentos fontes de vitamina A, cuja principal
fonte é representada pelos carotenóides, em especial
o beta-caroteno. O alimento de alto conteúdo em contribuíram para uma melhor utilização da vitami-
na A, sem contudo assegurar os níveis adequados de
retinol sérico para este grupo etário. Maiores percentuais de níveis de retinol sérico
inadequados foram detectados em crianças menores
de 24 meses de idade. O padrão alimentar dessas
crianças é caracterizado por dietas lácteas, altamen-
te diluídas e elevados percentuais de hidrato de
carbono (Prado e col.24, 1975). Este padrão de con-
sumo, aliado à supressão precoce do leite materno
(Assis e col.1, 1994) e consumo reduzido de alimen-
tos fontes de carotenóides, podem explicar os mai-
ores níveis de inadequação de retinol sérico. A alta prevalência de parasitose intestinal observa-
da neste grupo populacional (Gaudenzi e col.13,1992)
é outro fator que pode estar comprometendo a absor-
ção e a utilização da vitamina A ingerida. É conhecido
que crianças portadoras de doenças infecciosas e para-
sitárias, mesmo nas suas formas subclínicas, apresen-
tam menores níveis de retinol sérico. Se durante o período de safra, quando há aumen-
to da disponibilidade de alimentos fontes de vitami-
na A, forem detectados percentuais de níveis de
retinol sérico que colocam a deficiência de vitamina
A como problema de saúde pública, efeitos dramá-
ticos poderão ser esperados durante a entressafra,
quando há escassez desses e de outros alimentos. Os resultados desta investigação evidenciam o
risco a que está exposto esse grupo de crianças, uma
vez que a vitamina A tem função específica na
redução da morbi-mortalidade infantil. A curto prazo recomenda-se a suplementação
em massa com vitamina A para a população estuda-
da, em especial em época de seca e entressafra. A
adoção de política agrícola que assegurem a produ-
ção, aumento do consumo de alimentos ricos neste
micronutriente e melhoria das condições básicas de
vida devem ser priorizadas como medidas que a
médio prazo serão capazes de erradicar a deficiên-
cia nutricional na área. * Dra. Leonor Maria Pacheco Santos, Escola de Nutrição da
Universidade Federal da Bahia (Comunicação pessoal). Comentários nesta população, um percentual maior do que 15,0%
de níveis séricos de retinol considerados inadequa-
dos (<20,0 mg/dl). g
Este percentual é mais baixo do que o observado
por Santos* (54,7%), para pré-escolares de áreas
urbanas do semi-árido baiano, e inferior também
aos 51,4% detectados por Roncada e col. 27(1978),
em crianças migrantes em trânsito pela capital do
Estado de São Paulo. Referências Bibliográficas Interrelationship between diarrhea
and vitamin A deficiency a risk factor for diarrhea? Pediat. Infect. Dis., 11: 380-4, 1992. 24. PRADO, M. S. et al. Padrão e seleção de alimentos comple-
mentares e secedâneos do leite materno em comunidades
rurais do semi-árido baiano. Rev. Nutr. PUCCAMP, 8:
47-64,1995, f
11. FAO/OMS. Necesidades de vitamin A, hierro folato y vitamin
B12. Roma, 1991. (Estudios FAO/Alimentación y
Nutrición No 23). ,
,
25. RAHMATHULLAR, L. M. B. et al. Reduced mortality among
children in Southern India receiving a small weekly dose
of vitamin A. J. Med., 323: 929-35, 1990. 12. FUNDAÇÃO IBGE. Censo demográfico Bahia 1991. Rio de
Janeiro, 1992. 13. GAUDENZIE, N. et al. Projeto Cansanção: uma vivência da
universidade no sertão da Bahia. Salvador, Coordena-
ção Central de Extensão, 1992. 26. REUNION CONSULTIVA CONJUNTA FAO/OMS/UNU
DE EXPERTOS EN NECESIDADES DE ENERGIA Y
DE PROTEINAS, Roma, 1981. Informe. Ginebra, OMS,
1985 (OMS - Ser. Inf. Téc., 724). ç
14. INTERDEPARTAMENTAL COMMITTEE ON NUTRITION
FOR NATIONAL DEFENSE. Manual for nutrition survey. Washington, D. C., Governement Printing Office, 1963. 27. RONCADA, M. J. et al. Hipovitaminose A em filhos de
migrantes nacionais em trânsito pela capital do Estado de
São Paulo, Brasil: estudo clínico-bioquímico. Rev.Saúde
Pública, 12: 345-50, 1978. 15. INTERNATIONAL VITAMIN A CONSULTIVE GROUP. Guidelines for the development of a simplified dietary
assessment to identify groups at risk for inadequate
intake of vitamin A: report of the international vitamin A
Consultative Group. Washington, 1989. 28. SANTOS, L. M. P. et al. Xerophthalmia in the state of Paraiba
Northeast of Brazil: clinical findings. Am. J. Clin. Nutr.,
38: 139-44, 1983. 16. JOINT WHO/UNICEF/USAID/Helen Keller International/
IVAGG. Meeting on the Control of Vitamin A Deficiency
and Xerophthalmia, Jakarta, 1980. Report. Geneva, 1982. (WHO-Tech. Rep. Ser., 672). 29. SOMMER, A. et al. Increased mortality in children with mild
vitamin A deficiency. Lancet, 2:585-8, 1983. 30. SOMMER, A. et al. Impact of vitamin A supplementation on
childhood mortality. Lancet, 1: 1169-91, 1986. p
17. MELE, L. et al. Nutritional and household risk factors for
xerophthalmia in Aceh, Indonesia: a case-control study. Am. J. Clin. Nutr., 53:1460-5, 1991. 31.VENKATASWANY, G. et al. Retinol-binding protein in
serum of xerophthalmic, malnourished children before
and after treatment at a nutrition center. Am. J. Clin. Nutr., 30: 1968-73, 1977. 18. MILTON, R.C. et al. Mild vitamin A deficiency and childhood
morbidity-an Indian experience. Am. J. Clin. Nutr., 46:
287-9, 1987. 32. Referências Bibliográficas Para a população estudada, as principais fontes
de vitamina A são constituídas basicamente por
carotenóides cuja conversão é de aproximadamente
20-50% da quantidade ingerida (Blomhoff e col.7,
1992). A maior freqüência no consumo de alimen-
tos ricos em beta-caroteno, tais como: manga, ma-
mão, batata doce entre outros, talvez explique os
menores percentuais de níveis séricos de retinol
considerados inadequados para as crianças de 24 a
72 meses de idade. A presença de vitamina C na
dieta e a gordura oriunda do coco de ouricuri, além de
uma boa adequação de ferro dietético, seguramente 1. ASSIS, A. M. O. et al. Prática do aleitamento materno em
comunidades rurais do semi-árido baiano. Rev. Saúde
Pública, 28: 308-4, 1994. 2. ARAÚJO, C. R. C. & FLORES, H. Improved spectrophoto-
metric vitamin A assay. Clin. Chem., 24: 386, 1978. Ú 3. ARAÚJO, M. P. N. et al. Dimensionamento de medidas
caseiras. Salvador, Departamento das Ciências da Nutri-
ção/Escola de Nutrição-UFBA, 1993. 4. BARRETO, M. L. et al. Effect of vitamin A supplementation
on diarrhoea and acute lower-respiratory-tract infection
in young children in Brazil. Lancet, 344: 228-31,1994. y
g
5. BATISTA FILHO, M. & TORRES, M. A. A. Acesso a terra
e situação nutricional em populações do smi-árido nor-
destino. Rev. Pernambucana Desenv., 9: 101-19, 1982. 6. BEATON, G. H. et al. Effectiveness of vitamin A supplementa-
tion in the control of young child morbidity and mortality
in developing countries. Toronto, International Nutrition
Program, 1992. Nutrition, 1993. 7. BLOMHOFF, R. et al. Vitamin A: physiological and bioche-
mical processing. Ann. Rev. Nutr., 12: 37-57, 1992. 21. NAUSS, M. K. Influence of vitamin a status on the immune
system. In: Bauernfeind, J. C. Vitamin A deficiency and
its control. Orlando, Academic Press, 1986. p. 207-36. g
8. DAULAIRE, N. M. P. et al. Childhood mortality after a high
dose of vitamin A in a high risk population. BMJ (London),
304: 207-10, 1992. 22. OSLON, J. A. Phisiologiccal and metabolic basis of myor sigs
of vitamin A deficiency. In: Bauernfeind, J. C. Vitamin
A deficiency and its control. Orlando, Academic Press,
1986. p. 350-84. ,
9. DELUCA, L. M. & McDOWELL, L. M. Effects of vitamin A
status on hamster tracheal epithelium in vivo and vitro. Food Nutr.BulL, 11: 20-4, 1989. p
23. PAN AMERICAN HEALTH ORGANIZATION. Hypovita-
minosis A in the Americas. Washington, 1970. 10. EL BUSHRA, H. E. et al. Referências Bibliográficas VITAMIN A FIELD SUPPORT PROJECT (VITAL). Inter-
national Science and Technology Institute, Vital
nutrients. Arlington. 1991. 19. MUHIAL, P. et al. Vitamin A-fortified monosodium glutamate
and health, gowth and survival of children: a controlled
field trial. Am. J. Clin. Nutr., 48: 1271-4, 1988. g
field trial. Am. J. Clin. Nutr., 48: 1271-4, 1988. 33. WEST, K. P. et al. Efficacy of vitamin A in reducing pre-school
child mortality in Nepal. Lancet, 338: 67-71, 1991. 20. NEWMAN, V. Vitamin A and breastfeeding: a comparison
of data from developed and developing countries. San Diego, Cooperative Agreement, United Satates
Agency for International Development Office of 34. WITSCHI, J. C. Short-term dietary and recording methods. In: Willett, W. Nutritional epidemiology. Oxford, Oxford
University, 1990. p. 52-65. The distribution and magnitude of vitamin A deficiency and dietary consumption of 161 children at 6 to 72 months of age
in rural zones in Cansanção-Bahia-Brazil were evaluated. The serum retinol levels were measured by the spectrophotome-
tric method (Bassey-Lowry modified by Araújo and Flores). The serum retinol average was found to be distributed
homogeneously throughout the different age groups. Inadequate serum retinol levels (<20,0 mg/dl) were detected in 44.7%
of the children, which characterized the deficiency as constituting a public health problem. The serum retinol levels showed
no statistically significant association as between the sex and age of the children; however the chilfren of less than 24 months
showed a higher prevalence of inadequate serum retinol levels. The main available source of vitamin A for these children
was represented by carotenoids, especially beta-carotene. Foods regarded as being rich in vitamin A were consumed by
all age groups. The greatest diversification of consumption of foordstuffs with moderate and low vitamin A content was
observed in the group of children of from 24 to 72 months of age, through this was no guarantee of adequate serum retinol
levels in this group however. Vitamin A deficiency, epidemiology. Diet survays. Rural population. Abstract The distribution and magnitude of vitamin A deficiency and dietary consumption of 161 children at 6 to 72 months of age
in rural zones in Cansanção-Bahia-Brazil were evaluated. The serum retinol levels were measured by the spectrophotome-
tric method (Bassey-Lowry modified by Araújo and Flores). The serum retinol average was found to be distributed
homogeneously throughout the different age groups. Inadequate serum retinol levels (<20,0 mg/dl) were detected in 44.7%
of the children, which characterized the deficiency as constituting a public health problem. The serum retinol levels showed
no statistically significant association as between the sex and age of the children; however the chilfren of less than 24 months
showed a higher prevalence of inadequate serum retinol levels. The main available source of vitamin A for these children
was represented by carotenoids, especially beta-carotene. Foods regarded as being rich in vitamin A were consumed by
all age groups. The greatest diversification of consumption of foordstuffs with moderate and low vitamin A content was
observed in the group of children of from 24 to 72 months of age, through this was no guarantee of adequate serum retinol
levels in this group however. Vitamin A deficiency, epidemiology. Diet survays. Rural population.
|
https://openalex.org/W4379412825
|
https://jurnal.plb.ac.id/index.php/atrabis/article/download/565/372
|
Indonesian
| null |
Strategi Marketing Menggunakan Instagram
|
Atrabis: Jurnal Administrasi Bisnis
| 2,021
|
cc-by
| 3,959
|
ATRABIS: Jurnal Administrasi Bisnis ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 Strategi Marketing Menggunakan Instagram
(Studi kasus: Sapinesia) Asye Rachmawaty
Program Studi Manajemen Informatika
Politeknik LP3I
e-mail: asyerachmawaty@plb.ac.id Abstrak: Tingginya pengguna media sosial di Indonesia, membuat para pelaku
bisnis/UMKM mengembangkan strategi marketingnya dengan cara memanfaatan media
sosial sebagai salah satu media promosi. Sudah banyak diantara pelaku bisnis
memanfaatkan media sosial untuk memperkenalkan bisnis dan produk-produk yang
dipasarkannya. Namun bagaimana memaksimalkan fitur-fitur dari media sosial yang
digunakan, ternyata masih banyak pelaku bisnis yang kurang memahami sehingga
strategi marketing dengan sosial medianya kurang memberikan keuntungan. Penulis,
melalui penelitian ini ingin mengetahui bagaimana perkembangan sebuah bisnis/UMKM
yang menggunakan sosial media dalam menjalankan strategi marketingnya, yaitu
memperkenalkan produknya dengan memanfaatkan iklan berbayar pada salah satu media
sosial. Metode yang digunakan dalam penelitian ini adalah metode deskriptif kualitatif,
dimana peneliti melakukan pengumpulan data dengan observasi partisipan. Hasil yang
ditemukan dalam penelitian ini, bahwa dengan memanfaatkan fitur-fitur yang tersedia
pada sebuah media sosial, membuat konten-konten yang menarik secara berkelanjutan,
memaksimalkan akses link yang pada berbagai akun, dan memiliki teknik closing yang
baik, dapat menjadi salah satu strategi marketing yang sangat mutakhir di era digital. Kata Kunci : Media Sosial, Instagram, Strategi Marketing. PENDAHULUAN Adapun tujuan
dari penelitian ini adalah untuk mengetahui keberhasilan sapinesia dalam menjalankan
strategi marketing untuk menaikkan jumlah followers melalui Instagram Ads. pada enam
akun resminya. Dengan jumlah followers sebanyak itu, lima akun resmi lainnya yang juga aktif dalam
iklan berbayar, penulis tertarik untuk meneliti sejauh mana keberhasilan strategi
marketing menggunakan Instagram Ads. yang selama ini mereka lakukan. Adapun tujuan
dari penelitian ini adalah untuk mengetahui keberhasilan sapinesia dalam menjalankan
strategi marketing untuk menaikkan jumlah followers melalui Instagram Ads. pada enam
akun resminya. PENDAHULUAN Media sosial sebagai sarana pemasaran digital, saat ini, menjadi sangat penting
kehadirannya bagi para pelaku bisnis dalam memperkenalkan produknya. Beragam fitur
yang ditawarkan media sosial juga memudahkan dalam melakukan promosi. A.A. Manik
Pratiwi (2020:75): “Pemasaran media sosial adalah bentuk mempromosikan beragam
konten bisnis dalam berbagai cara kepada pengguna media sosial. Kegiatan ini dilakukan
untuk menemukan formula yang tepat dalam menyebarkan informasi yang dibutuhkan
untuk mengarahkan tujuan bisnis dan peningkatan penjualan.” Dewi Utari, Dewi Endah
Fajariana (2018). Terdapat banyak media sosial yang menjadi kegemaran warganet di Indonesia, salah
satunya adalah Instagram. Rakha fahreza (2020) dalam tulisannya menyebutkan bahwa
dari 150 juta pengguna media sosial di Indonesia, 80% diantaranya adalah pengguna
Instagram yaitu sekitar 120 juta orang. Itu yang mengakibatkan banyaknya pelaku bisnis
mulai merambah Instagram sebagai media pemasaran produk mereka. Salah satu produk
yang diperkenalkan dan dipasarksn melalui akun media sosial Instagram adalah sei sapi. Dikutip dalam sebuah tulisan karya Syifa Nuri Khairunnisa (2020), bahwa sei merupakan
salah satu sajian khas Provinsi Nusa Tenggara Timur tepatnya Kabupaten Rote Ndao. Daging ini diiris tipis-tipis memanjang kemudian diasapi dengan bara api hingga matang. 39 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 Karena nikmatnya, daging sei ini terkenal di seluruh NTT hingga akhirnya sebuah
UMKM berani memperkenalkan daging sei ini secara online melalui media sosial
Instagram. Tak hanya satu akun akun saja, sapinesia, hingga saat ini memiliki enam akun
resmi dan kerap mempromosikan produknya menggunakan iklan berbayar dengan fitur
Instagram Ads. Tak hanya iklan berbayar dalam memperkenalkan produk sei sapinya,
sapinesia juga memberikan promosi gratis biaya kirim se-Jawa. Berikut adalah akun
utama dari sapinesia dengan jumlah followers lebih dari 15 ribu akun. Gambar 1. Akun Instagram @sapinesia Gambar 1. Akun Instagram @sapinesia
Dengan jumlah followers sebanyak itu, lima akun resmi lainnya yang juga aktif dalam
iklan berbayar, penulis tertarik untuk meneliti sejauh mana keberhasilan strategi
marketing menggunakan Instagram Ads. yang selama ini mereka lakukan. Adapun tujuan
dari penelitian ini adalah untuk mengetahui keberhasilan sapinesia dalam menjalankan
strategi marketing untuk menaikkan jumlah followers melalui Instagram Ads. pada enam
akun resminya. Gambar 1. Akun Instagram @sapinesia Gambar 1. Akun Instagram @sapinesia Gambar 1. Akun Instagram @sapinesia Dengan jumlah followers sebanyak itu, lima akun resmi lainnya yang juga aktif dalam
iklan berbayar, penulis tertarik untuk meneliti sejauh mana keberhasilan strategi
marketing menggunakan Instagram Ads. yang selama ini mereka lakukan. Strategi Marketing Online g
g
Menurut Assauri (2014:168), “strategi pemasaran adalah serangkaian tujuan dan sasaran,
kebijakan dan aturan yang memberi arah kepada usaha-usaha pemasaran perusahaan dari
waktu ke waktu, pada masing-masing tingkatan dan acuan serta aloksinya, terutama
sebagai tanggapan perusahaan dalam menghadapi lingkungan dan keadaan persaingan
yang selalu berubah”. Strategi pemasaran memberikan arah dalam kaitannya dengan
segmentasi pasar, identifikasi pasar sasaran, positioning dan bauran pemasaran. Moh
Rusdi (2019). Strategi pemasaran menurut Dewi U. dan Dewi E. (2018) merupakan
rangkaian suatu kegiatan yang terarah untuk mencapai sasaran dan dengan
pola berpikir yang inovatif dan kreatif, untuk menghadapi kecenderungan
yang terjadi di dalam perusahaan maupun di luar perusahaan, yang akan berpengaruh
terhadap kepentingan maupun masa depan perusahaan sendiri. Berdasarkan beberapa teori di atas, dapat disimpulkan bahwa strategi pemasaran adalah
suatu kegiatan yang terarah berdasarkan tujuan dan aturan, dilakukan secara kreatif dan
inovatif sesuai perkembangan jaman untuk menghasilkan sesuatu yang baik bagi
perusahaan. Untuk mencapai kesuksesan dalam menjalankan strategi marketing, salah 40 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 satu unsur pentingnya adalah bauran pemasaran atau marketing mix. Menurut Kotler
(2001: 264-312) bauran pemasaran memiliki lima poin, yaitu: 1) Advertising atau
periklanan; 2) Sales Promotion; 3) Public Relation and Publisity; 4) Personal Selling;
dan 5) Direct Marketing. Masing-masing poin bauran pemasaran memiliki manfaat yang
berbeda dengan tujuan yang sama, yaitu kesuksesan berbisnis. satu unsur pentingnya adalah bauran pemasaran atau marketing mix. Menurut Kotler
(2001: 264-312) bauran pemasaran memiliki lima poin, yaitu: 1) Advertising atau
periklanan; 2) Sales Promotion; 3) Public Relation and Publisity; 4) Personal Selling;
dan 5) Direct Marketing. Masing-masing poin bauran pemasaran memiliki manfaat yang
berbeda dengan tujuan yang sama, yaitu kesuksesan berbisnis. Dalam penelitian ini, akan dibahas bauran pemasaran yang pertama, yaitu advertising
atau periklanan menggunakan media sosial. Permatasari (2016:5) mengungkapkan
karakteristik melakukan promosi melalui media sosial, yaitu: 1) Promosi dan pemasaran
dilakukan kapan saja selama tersambung dengan jaringan internet; 2) Jangkauan luas dan
tak terbatas; 3) Dapat memilih beragam sosial media yang ada; 4) Penyebaran informasi
cepat; 5) Akses konsumen mudah; 6) Waktu promosi 24 jam; 7) Rawan akan resiko; dan
8) Biaya promosi rendah karena tidak perlu mencetak poster atau memasang iklan di
media (contoh : televisi atau radio). Media Sosial Media sosial menurut Caleb T. Carr dan Rebecca A. Hayes (2015) adalah media berbasis
Internet yang memungkinkan pengguna berkesempatan untuk berinteraksi dan
mempresentasikan diri, baik secara seketika ataupun tertunda, dengan khalayak luas
maupun tidak yang mendorong nilai dari user-generated content dan persepsi interaksi
dengan orang lain. Kotler dan Keller (2016) mengatakan bahwa media sosial adalah
media yang digunakan oleh konsumen untuk berbagi teks, gambar, suara, dan video
informasi baik dengan orang lain maupun perusahaan dan vice versa. Strategi Marketing Online Penelitian sebelumnya, Zahrah Latifah (2018),
menyimpulkan bahwa penggunaan media sosial sebagai media promosi dapat digunakan
untuk menyampaikan informasi, menerima feedback dari konsumen, serta untuk
menyampaikan pesan dalam berbagai jenis konten yang dapat membuat promosi menjadi
semakin menarik untuk dilihat oleh konsumen Instagram Anugerah Ayu (2019) dalam artikelnya mengatakan bahwa ”Instagram adalah sebuah
aplikasi berbagi foto dan video yang memungkinkan pengguna mengambil foto,
mengambil video, menerapkan filter digital, dan aktivitas berjejaring lainnya. Nama
Instagram berasal dari Kata ‘Instan’ dan ‘telegram’. Kata ‘instan’ yang mendasari
penamaan ‘insta’ dimaksudkan seperti kamera polaroid yang pada masanya lebih dikenal
dengan sebutan "foto instan". Dengan makna ini Instagram juga dapat menampilkan foto-
foto secara instan, seperti polaroid di dalam tampilannya. Sedangkan kata telegram
merujuk pada sebuah alat yang bekerja mengirimkan informasi kepada orang lain dengan
cepat.” Terdapat beberapa fitur canggih dalam aplikasi Instagram, diantaranya adalah sebagai
berikut: 1) Berbagi foto dan video adalah fitur utama dari Instagram; 2) Komentar dan
like, fitur yang sama dengan aplikasi lainnya yaitu Facebook; 3) Explore yaitu fitur
pencarian, menampilkan foto atau video terpopuler, dan lokasi terdekat; 4) Instagram
Story yaitu fitur pengambilan foto atau video untuk kemudian ditampilkan di kilas cerita
Instagram; dan 5) IGTV yaitu fitur pemutaran video berdurasi hingga 60 menit dengan
ukuran file hingga 5.4 GB. Fitur lainnya yang dimiliki Instagram sebagai media promosi
atau periklanan adalah Instagram Ads. Dimana pemilik akun dapat menayangkan iklan 41 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 dalam bentuk foto ataupun video dengan jangkauan yang lebih luas, sehingga tujuan
promosi dapat tercapai. dalam bentuk foto ataupun video dengan jangkauan yang lebih luas, sehingga tujuan
promosi dapat tercapai. METODE PENELITIAN Teknik pengumpulan data dilakukan dengan cara observasi lapangan. Metode kualitatif
menjadi pilihan penulis dalam menentukan cara mencari, mengumpulkan, mengolah, dan
menganalisis data hasil penelitian. Penelitan yang digunakan adalah penelitian kualitatif deskriptif. Penelitian deskriptif
kualitatif adalah pengumpulan data suatu latar alamiah dengan maksud menafsirkan
fenomena yang terjadi dimana peneliti adalah sebagai instrument kunci, hasil penelitian
lebih menekankan makna dari pada generalisasi. (Albi Anggito, Johan Setiawan:2018) PEMBAHASAN Sapinesia adalah salah satu jenis usaha yang bergerak dibidang kuliner, yaitu olahan
daging sapi, tepatnya sei sapi. Sei sapi ini dijual dalam bentuk frozen atau makanan beku,
dipasarkan secara online melalui beberapa media sosial, website, dan juga marketplace. Terdapat tiga daerah pengiriman di pulau Jawa, yaitu Jawa Barat, Jawa Tengah, dan Jawa
Timur. Sei sapi ini diperkenalkan oleh sapinesia melalui media sosial Instagram dengan
fasilitas iklan berbayar, lalu kemudian calon konsumen digiring untuk mempelajari lebih
lanjut mengenai sei sapi olahan mereka melalui website yang berisi berbagai informasi
produk, testimoni, dan juga formulir pembelian yang tahapan berikutnya adalah
pemberian link WhatsApp admin dari sapinesia. Dalam melakukan promosinya, sapinesia
mempunyai beberapa akun aktif di Instagram dengan nama akun yang berbeda namun
hampir sama dan tampilan profil juga feeds yang sama di setiap akun. Berikut profil dari
beberapa akun resmi sapinesia. 42 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 Gambar 2. Profil @Sapinesia
Gambar 3. Profil @Sapinesia.id
Gambar 4. Profil Frozenseisapinesia
Gambar 5. Profil @Seisapinesiafrozen Gambar 3. Profil @Sapinesia.id Gambar 2. Profil @Sapinesia p
Gambar 4. Profil Frozenseisapinesia Gambar 5. Profil @Seisapinesiafrozen 43 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 Gambar 6. Profil @Seisapinesiafrozenku
Gambar 7. Profil @Seisapinesiaku
Setidaknya, hingga penulis melakukan penelitian, terdapat enam akun resmi sapinesia. Dapat dilihat pada masing-masing profilnya, cara penulisan hingga link yang mereka
tampilkan adalah sama. Penulis melakukan penelusuran pada masing-masing akun, dan
ternyata baik link marketplace, contact person, dan website mereka adalah sama. Berikut
adalah tampilan dari marketplace dan website sapinesia: Gambar 7. Profil @Seisapinesiaku Gambar 6. Profil @Seisapinesiafrozenku Gambar 7. Profil @Seisapinesiaku Gambar 6. Profil @Seisapinesiafrozenku Gambar 6. Profil @Seisapinesiafrozenku Setidaknya, hingga penulis melakukan penelitian, terdapat enam akun resmi sapinesia. Dapat dilihat pada masing-masing profilnya, cara penulisan hingga link yang mereka
tampilkan adalah sama. Penulis melakukan penelusuran pada masing-masing akun, dan
ternyata baik link marketplace, contact person, dan website mereka adalah sama. Berikut
adalah tampilan dari marketplace dan website sapinesia: Setidaknya, hingga penulis melakukan penelitian, terdapat enam akun resmi sapinesia. Dapat dilihat pada masing-masing profilnya, cara penulisan hingga link yang mereka
tampilkan adalah sama. Penulis melakukan penelusuran pada masing-masing akun, dan
ternyata baik link marketplace, contact person, dan website mereka adalah sama. Berikut
adalah tampilan dari marketplace dan website sapinesia: Gambar 9. Website Sapinesia Gambar 8. Sapinesia on marketplace
Gambar 9. Website Sapinesia Gambar 8. Sapinesia on marketplace Gambar 8. Sapinesia on marketplace Gambar 9. Website Sapinesia Gambar 9. PEMBAHASAN Website Sapinesia 44 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 Pada marketplace tersebut hanya ada satu akun sapinesia yang pengirimannya berasal
dari kota Sidoarjo, dengan jumlah pengikut 2600 akun dan penilaian sebesar 4,6 dari 5,0. Dapat dilihat juga bahwa paket produk mereka sudah banyak yang membelinya melalui
marketplace tersebut. Sedangkan untuk website, ada banyak sub-link yang dibagikan
sesuai dengan nama akun Instagram seperti pada gambar berikut. Penulis masuk dengan
link dari akun Instagram @sapinesia yaitu www.sapinesia.com/frozen2 yang
menampilkan banyak informasi produk, promo, testimoni pembeli, hingga formulir untuk
calon konsumen. Berdasarkan teori mengenai karakteristik pemasaran atau promosi melalui media sosial
oleh Permatasari (2016:5) serta hasil penelitian yang dilakukan oleh penulis, dapat
dibahas beberapa karakteristik sebagai berikut: Promosi dan pemasaran dilakukan kapan saja selama tersambung dengan jaringa
internet Media sosial Instagram sebagai sarana melakukan promosi dan pemasaran, memudahkan
pengguna yaitu pelaku bisnis untuk memasarkan produknya kapan saja selama adanya
jaringan internet. Hal itupun yang dilakukan oleh Sapinesia dalam memasarkan produk
sei sapinya. p y
Pada awalnya penulis mengenal sapinesia melalui jaringan internet, yaitu media sosial
Instagram yang langsung terlihat pada laman Instagram tanpa penulis follow terlebih
dahulu. Sapinesia dengan keenam akunnya menggunakan fitur Instagran Advertising atau
biasa dikenal dengan sebutan Instagram Ads., yaitu fitur iklan berbayar dengan jangkauan
lebih luas sehingga promosi dapat dilihat oleh lebih banyak akun bahkan yang belum
mengikuti akun yang melakukan promosi tersebut, dalam hal ini sapinesia. Siapapun,
kapanpun, dan dimanapun selama lokasi akunnya terjangkau oleh promosi berbayar
tersebut, maka dapat melihat iklan bersponsor dari Sapinesia. Dengan iklan yang menarik, berupa video testimoni seseorang yang lahap menikmati
hidangan sei sapi, tentu saja banyak viewers yang tertarik untuk mengetahui lebih lanjut
mengenai hidangan sei sapi tersebut. Berikut salah satu iklan bersponsor dari Sapinesia. 45 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 Gambar 10. Iklan berbayar Sapinesia melalui akun @seisapinesiaku
Terlihat dari gambar tersebut, bahwa akun @seisapinesiaku melakukan iklan bersponsor
dengan 455,414 views nya. Sudah ratusan ribu akun yang menyaksikan video tersebut. Gambar 10. Iklan berbayar Sapinesia melalui akun @seisapinesiaku Terlihat dari gambar tersebut, bahwa akun @seisapinesiaku melakukan iklan bersponsor
dengan 455,414 views nya. Sudah ratusan ribu akun yang menyaksikan video tersebut. Terlihat dari gambar tersebut, bahwa akun @seisapinesiaku melakukan iklan bersponsor
dengan 455,414 views nya. Sudah ratusan ribu akun yang menyaksikan video tersebut. Jangkauan luas dan tak terbatas Berikut media sosial yang menjadi
aplikasi pemasaran: Instagram (akun resmi), Facebook (Fanpage), Youtube (testimoni),
dan WhatsApp (customer service). p
g
y
g
Rakha F. (2020) dalam artikelnya menyebutkan bahwa terdapat 10 media sosial yang
paling banyak digunakan, yaitu: YouTube; WhatsApp; Facebook; Instagram; TikTok;
Line; Twitter; Reddit; Pinterest; dan Tumblr. Setidaknya, Sapinesia menggunakan empat
dari 10 media sosial sebagai media pemasarannya. Berikut media sosial yang menjadi
aplikasi pemasaran: Instagram (akun resmi), Facebook (Fanpage), Youtube (testimoni),
dan WhatsApp (customer service). Jangkauan luas dan tak terbatas Sapinesia memiliki enam akun resmi pada media sosial Instagram dan seringkali aktif
memperkenalkan produk sei sapinya dengan fitur Instagram Ads. Selain jangkauan iklan
tersebut sangat luas, sesuai dengan biaya yang dianggarkan, hal ini berpotensi untuk
menarik lebih banyak followers karena kaingintahuan dari calon konsumen yang secara
tidak sengaja menyaksikan iklan berbayar tersebut yang tampil di feed Instagram mereka. Berikut adalah profil akun @seisapinesiaku pada tanggal 5 Maret 2021 dengan 336
followers, namun pada Gambar 7 yang diambil tanggal 27 Mei 2021, jumlah followers
dari akun @seisapinesiku sudah mencapai 4043 followers. Terbukti dengan mengaktifkan iklan berbayar, akun @seisapinesia mendapatkan
peningkatan followers sebanyak 3707 dalam waktu dua bulan saja. Terlihat pada gambar sebelumnya, dalam satu tayangan iklan saja ternyata jumlah
viewers-nya mencapai ratusan ribu. Dapat dikatakan bahwa jangkauan iklan berbayar ini
sangat luas, hal ini dapat dilihat melalui menu insight yang terdapat pada akun profesional
Instagram. 46 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 Gambar 11. Jumlah followers akun @seisapinesiaku pada 5 Maret 2021
Dapat memilih beragam sosial media yang ada
Rakha F. (2020) dalam artikelnya menyebutkan bahwa terdapat 10 media sosial yang
paling banyak digunakan, yaitu: YouTube; WhatsApp; Facebook; Instagram; TikTok;
Line; Twitter; Reddit; Pinterest; dan Tumblr. Setidaknya, Sapinesia menggunakan empat
dari 10 media sosial sebagai media pemasarannya. Berikut media sosial yang menjadi
aplikasi pemasaran: Instagram (akun resmi), Facebook (Fanpage), Youtube (testimoni),
dan WhatsApp (customer service). Gambar 11. Jumlah followers akun @seisapinesiaku pada 5 Maret 2021 Gambar 11. Jumlah followers akun @seisapinesiaku pada 5 Maret 2021 Gambar 11. Jumlah followers akun @seisapinesiaku pada 5 Maret 2021 Gambar 11. Jumlah followers akun @seisapinesiaku pada 5 Maret 2021 Dapat memilih beragam sosial media yang ada Dapat memilih beragam sosial media yang ada
Rakha F. (2020) dalam artikelnya menyebutkan bahwa terdapat 10 media sosial yang
paling banyak digunakan, yaitu: YouTube; WhatsApp; Facebook; Instagram; TikTok;
Line; Twitter; Reddit; Pinterest; dan Tumblr. Setidaknya, Sapinesia menggunakan empat
dari 10 media sosial sebagai media pemasarannya. Berikut media sosial yang menjadi
aplikasi pemasaran: Instagram (akun resmi), Facebook (Fanpage), Youtube (testimoni),
dan WhatsApp (customer service). Dapat memilih beragam sosial media yang ada
Rakha F. (2020) dalam artikelnya menyebutkan bahwa terdapat 10 media sosial yang
paling banyak digunakan, yaitu: YouTube; WhatsApp; Facebook; Instagram; TikTok;
Line; Twitter; Reddit; Pinterest; dan Tumblr. Setidaknya, Sapinesia menggunakan empat
dari 10 media sosial sebagai media pemasarannya. Penyebaran informasi cepat Melalui media sosial, informasi yang disampaikan dapat menyebar dengan sangat cepat. Hal ini dikemukakan juga oleh Staf Ahli Menteri Bidang Komunikasi dan Media Massa
Kementerian Komunikasi dan Informasi (Kemenkominfo) RI, Drs. Gun Gun Siswadi,
M.Si. (2016) bahwa Pesatnya teknologi informasi memungkinkan publik berinteraksi
lebih cepat dalam mengabarkan peristiwa dibanding media arus utama. Hal ini kemudian
memunculkan istilah citizen journalism, dimana informasi dari masyarakat dapat
langsung disebarluaskan melalui jagat maya. Konsep ini lebih mengedepankan kecepatan
penyebaran informasi. Ini sudah dibuktikan oleh Sapinesia, ketika jumlah followers-nya
bertambah banyak dalam waktu dua bulan saja. Testimoni Sapinesia juga banyak ditayangkan melalui channel Youtube oleh para
Youtuber dengan jumlah views ribuan. Tentu saja hal ini diharapkan dapat mempengaruhi
tingkat penjualan sei sapi Sapinesia, diharapkan viewers akan semakin penasaran setelah
melihat testimoni dari para Youtuber yang berpengalaman di bidang kuliner. Biasanya,
calon pembeli yang sudah melihat iklan sebuah produk di media sosial seperti Instagram
ataupun Facebook, akan mencari tahu lebih lanjut melalui review dari beberapa Youtuber
terpercaya, baru setelah itu mereka akan memutuskan untuk membelinya atau tidak. Berikut beberapa testimoninya. 47 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 Gambar 12. Reviews Sapinesia di Youtube Gambar 12. Reviews Sapinesia di Youtube Gambar 12. Reviews Sapinesia di Youtube Gambar 12. Reviews Sapinesia di Youtube Gambar 12. Reviews Sapinesia di Youtube Gambar 12. Reviews Sapinesia di Youtube Rawan akan resiko Era digital, dimana teknologi informasi menjadi yang paling banyak digunakan dalam
berbagai kegiatan, sangat memungkinkan para penjahat internet atau dikenal dengan
hacker untuk melakukan banyak tindakan kejahatan. Salah satu kejahatannya adalah
memperjual-belikan database konsumen demi meraup keuntungan pribadi. Hal ini bukan
hanya menjadi kekhawatiran pelau usaha kecil ataupun menengah, tapi juga kehawatiran
pelaku usaha yang database konsumennya sudah sangat banyak. Yang perlu dilakukan
untuk mengatasi kejahatan siber adalah: 1) menggunakan pelatihan dan aktivitas yang
akan mendidik karyawan tentang dasar-dasar keamanan siber, misalnya, untuk tidak
membuka atau menyimpan file dari email atau situs web yang tidak dikenal karena dapat
membahayakan seluruh perusahaan; 2) mengingatkan karyawan secara rutin tentang cara
menangani data sensitif, misalnya, untuk menyimpan hanya di layanan cloud tepercaya
dengan autentikasi diaktifkan, jangan membagikannya dengan pihak ketiga yang tidak
tepercaya; 3) menerapkan penggunaan perangkat lunak yang sah, diunduh dari sumber
resmi;4) membuat cadangan data penting dan perbarui peralatan serta aplikasi TI secara
teratur untuk menghindari kerentanan yang belum ditambal yang dapat menjadi penyebab
kebocoran; dan 5) menggunakan produk titik akhir khusus yang menuntut manajemen
minimum yang memungkinkan karyawan melakukan pekerjaan utama mereka, namun
tetap terlindung dari malware, ransomware, pengambilalihan akun, penipuan online, dan
penipuan. Stephan Neumeier dalam Rafki Fahrizal (2020). iaya promosi rendah karena tidak perlu mencetak poster atau memasang iklan di
edia Sapinesia yang memiliki enam akun resmi di Instagram, aktif membuat iklan berbayar. Tentu saja ada biaya untuk melakukan promosi tersebut, tapi jika dibandingkan dengan
menayangkan iklan di media massa seperti majalah, koran, ataupun televisi, dimana harga
tayang iklan televisi per 30 detiknya bisa mencapai puluhan bahkan ratusan juta rupiah,
maka bagi pelaku usaha menengah ke bawah jauh lebih efisien menayangkan iklan di
media sosial yang biayanya jauh lebih terjangkau. Cukup dengan puluhan ribu per hari
saja, pelaku usaha dapat menayangkan iklannya di media sosial dengan ribuan cakupan
akun aktif. Sapinesia membuat promo gratis biaya kirim se-Jawa, kemungkinan
jangkauan iklan yang ditargetkan Sapinesia tertuju pada Pulau Jawa. Akses konsumen mudah Akses konsumen mudah Media sosial dengan akses tak terbatas, menjadi penghubung antara pelaku usaha dengan
konsumennya. Untuk mendapatkan berbagai informasi yang dibutuhkan, pengguna
media sosial dapat melakukan pencarian bukan hanya informasi yang ada di dalam negeri
saja, namun informasi yang berada di luan negeri pun didapatkan dengan mudah. Hal ini
pun berlaku pada dunia bisnis, dimana konsumen mendapatkan kemudahan dalam
mengakses produk apapun yang ingin dicarinya. Sapinesia menyertakan beberapa link
pada profil akun Instagramnya untuk memudahkan calon konsumen mengaksesnya,
termasuk dalam melakukan transaksi. Gambar 13. Kemudahan Akses Konsumen
Pada gambar tersebut di atas, Sapinesia memberian kemudahan bagi calon konsumennya
untuk mendapatkan informasi lebih lanjut mengenai usaha dan produknya. Pada gambar tersebut di atas, Sapinesia memberian kemudahan bagi calon konsumennya
untuk mendapatkan informasi lebih lanjut mengenai usaha dan produknya. 48 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 Waktu promosi 24 jam Dunia internet tak terbatas oleh waktu, kapanpun pengguna dapat mengaksesnya tanpa
kecuali selama terhubung dengan jaringan internet. Oleh sebab itu, meskipun beberapa
pakar periklanan online mengatakan adanya waktu-waktu khusus dimana banyak
pengguna mengakses internet atau media sosial, namun para pelaku usaha tetap dapat
melakukan promosi selama 24 jam pada jam yang diinginkan. KESIMPULAN Berdasarkan penelitian yang dilakukan penulis secara online, dengan menjadi instrumen
kunci, dimana penulis memperhatikan dan mengalaminya sebagai konsumen secara
langsung, dapat disimpulkan bahwa media sosial saat ini adalah sarana paling penting
bagi Sapinesia dalam mempromosikan produknya. Hal ini dibuktikan dengan
perkembangan dari masing-masing akun resmi Sapinesia di Instagram yang jumlah
followers-nya meningkat tajam dalam waktu relatif singkat. Meningkatnya followers juga 49 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 membuktikan bahwa semakin banyak konsumen yang tertarik pada produk olahan daging
sapi dari Sapinesia tersebut. Keterbatasan yang dimiliki penulis adalah tidak dapatnya mengetahui perkembangan
penjualan produk dari Sapinesia, dan insight dari iklan yang ditayangkan, sehingga
penulis tidak dapat membahas mengenai hal tersebut. Penulis berharap dapat melakukan
penelitian lebih lanjut agar dapat menampilkan informasi yang lebih dalam lagi. Serta
tidak menutup kemungkinan bagi peneliti lainnya jika tertarik untuk melanjutkan
penelitian ini. Daftar Pustaka [1] Albi Anggito, Johan Setiawan. (2018). Metodologi Penelitian Kualitatif. CV Jejak. https://books.google.co.id/books?hl=id&lr=&id=59V8DwAAQBAJ&oi=fnd&
pg=PP1&dq=penelitian+deskriptif+kualitatif+menurut+para+ahli&ots=5Haxs
DhrEq&sig=-
IyZobJmjXJczoqwevitBzE0n1M&redir_esc=y#v=onepage&q=penelitian%20d
eskriptif%20kualitatif%20menurut%20para%20ahli&f=false [2] Anugerah, A. (2019). Instagram Adalah Platform Berbagi Foto Dan Video, Ini Deretan
Fitur Canggihnya. Diakses 29 Mei 2021. https://www.liputan6.com/tekno/read/3906736/instagram-adalah-platform-
berbagi-foto-dan-video-ini-deretan-fitur-canggihnya [3] Arif, M. (2016). Media Massa Semakin Tergerus Perkembangan Teknologi Informasi. Diakses 31 Mei 2021. https://www.unpad.ac.id/2016/12/media-massa-semakin-tergerus-
perkembangan-teknologi-informasi/ [4] Assauri, S. (2014). Manajemen Pemasaran. Jakarta: Rajawali Pers. [5] Carr, Caleb T. and Hayes, Rebecca A. (2015). Sosial Media: Defining, Developing,
and Divining, Atlantic Journal of Communication. [6] Dewi, U., Dewi, E F. (2018). Strategi Pemasaran Melalui Media Sosial Instagram. Jurnal Widya Cipta, Vol 2, No 2. 271-278. http://ejournal.bsi.ac.id/ejurnal/index.php/widyacipta [7] Feibe, K. dkk. (2018). Analisis Strategi Pemasaran Dalam Menigkatkan Penjualan
Motor Yamaha Mio Pada PT. Hasjrat Abadi Outlet Yamaha Sam Ratulangi. Jurnal EMBA, Vol. 6, No. 2, 968-977. https://ejournal.unsrat.ac.id/index.php/emba/article/viewFile/20024/20294 [8] Kotler, Philip dan Gary Asmtrong. (2001). PrinsipPrinsip Pemasaran. (Terj) Damos
Shihombing. Jakarta: Erlangga [9] Kotler, Philip and Kevin Lane Keller, 2016. Marketing Managemen, 15th Edition,
Pearson Education,Inc. [10] Moh Rusdi. (2019). Strategi Pemasaran Untuk Meningkatkan Volume Penjualan
Pada Perusahaan Genting Ud. Berkah Jaya. Jurnal Trunojoyo, Vol. 6 (2), 49-54. [11] Permatasari, G. (2016). Efektivitas Media Sosial Instagram sebagai Media Promosi
Produk Olahan Pertanian Yogurt Cimory. Institut Pertanian Bogor. [10] Moh Rusdi. (2019). Strategi Pemasaran Untuk Meningkatkan Volume Penjualan
Pada Perusahaan Genting Ud. Berkah Jaya. Jurnal Trunojoyo, Vol. 6 (2), 49-54. [11] Permatasari, G. (2016). Efektivitas Media Sosial Instagram sebagai Media Promosi
Produk Olahan Pertanian Yogurt Cimory. Institut Pertanian Bogor. [12] Rakha F. (2020). 10 Macam Media Sosial yang Paling Sering Digunakan Oleh Orang
Indonesia. https://www.merdeka.com/jatim/10-macam-media-sosial-yang-paling-sering-
digunakan-oleh-orang-indonesia-kln.html?page=1 50 ATRABIS: Jurnal Administrasi Bisnis Vol. 7, No. 1 Juni 2021 [13] Rafki, F. (2020). Tips Bagi Perusahaan Agar Terhindar dari Insiden Kebocoran Data. Diakses 31 Mei 2021. https://infokomputer.grid.id/read/122411078/tips-bagi-perusahaan-agar-
terhindar-dari-insiden-kebocoran-data
[14] Syifa, N K. (2020). Apa Itu Sei Sapi? Daging Asap Khas NTT Yang Sedang Naik
Daun. Diterbitkan 24 Juli 2020. https://www.kompas.com/food/read/2020/07/24/080800275/apa-itu-sei-daging-
asap-khas-ntt-yang-sedang-naik-daun?page=all
[15] Zahrah, L., Djuara, P. (2018). Hubungan Penggunaan Media Sosial Dengan
Perkembangan Usaha Kecil Dan Menengah Kuliner Wilayah Solo Raya. Jurnal
IPB, Vol. 16 No. 1, 75-88. https://Instagram.com/sapinesia
https://Instagram.com/sapinesiaku
https://Instagram.com/sapinesia.id
https://Instagram.com/frozenseisapinesia
https://Instagram.com/seisapinesiafrozen
https://Instagram.com/seisapinesiafrozenku [13] Rafki, F. (2020). Tips Bagi Perusahaan Agar Terhindar dari Insiden Kebocoran Data. Diakses 31 Mei 2021. https://infokomputer.grid.id/read/122411078/tips-bagi-perusahaan-agar-
terhindar-dari-insiden-kebocoran-data 51 51 51
|
https://openalex.org/W4289477692
|
https://www.e3s-conferences.org/10.1051/e3sconf/202234202003/pdf
|
English
| null |
InSAR assets in ground movements survey on abandoned coalfields
|
Springer Link (Chiba Institute of Technology)
| 2,022
|
cc-by
| 4,366
|
© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons
Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/). E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 https://doi.org/10.1051/e3sconf/202234202003 * Corresponding author: j.morel@brgm.fr Atouts
de
l'InSAR
pour
le
suivi
des
mouvements
de
terrain
dans
les zones
minières abandonnées Jacques Morel1,*, Daniel Raucoules1 , Michael Foumelis1 and Sandrine Lemal1
1BRGM, French Geological Survey, 3 avenue Claude Guillemin, 45060 Orléans, France Abstract. Rising groundwater in abandoned mines may result in ground
movements at the surface overlying underground works. Feedbacks on
several abandoned coalfields show that ground uplift is generally observed,
reaching in some cases several centimetres or more. Although such ground
movements, slow and associated with slight slopes, are not expected to
generate surface damages, the survey of potential ground movements on
abandoned coalfield is necessary, especially to confirm the end of mining-
induced subsidence. The most common used method for this mission is
levelling. A retro-analysis of ground movements, based on Interferometric
Synthetic Aperture Radar (InSAR) technique, covering more than 20 years
after mine activity ceasing, has been realised on the French abandoned
coalfield of Nord-Pas de Calais. This analysis aimed to extend ground
movements detection capabilities in areas not covered by levelling as well
as compare InSAR analysis to levelling data for evaluating the robustness
of satellite-based displacement measurements. InSAR analysis was able to
highlight ground movements of a few millimetres per year, with the same
order of precision than classical levelling methods. The observed ground
displacement patterns expand well beyond the coalfield, indicating the
influence of non-mining-induced phenomena, such as local geology and
surface morphology. Our findings underline the operational capability of
space-borne InSAR for monitoring abandoned coalfields. Résumé. La remontée des eaux souterraines dans les mines abandonnées
peut entraîner des mouvements de terrain à la surface recouvrant les
travaux souterrains. Les retours d'expérience sur plusieurs bassins houillers
abandonnés montrent qu’un soulèvement est généralement observé,
atteignant dans certains cas plusieurs centimètres ou plus. Bien que ces
mouvements lents et à très grand rayon de courbure ne soient pas
susceptibles de générer des dommages en surface, la surveillance de ces
mouvements de sol reste nécessaire, notamment pour confirmer la fin des
affaissements d’origine minière. La méthode la plus couramment utilisée
pour cette mission est le nivellement. Une rétro-analyse des mouvements
du sol, basée sur la technique InSAR (Interferometric Synthetic Aperture * Corresponding author: j.morel@brgm.fr https://doi.org/10.1051/e3sconf/202234202003 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 Radar), couvrant plus de 20 ans après la cessation de l'activité minière, a
été réalisée sur le bassin houiller abandonné du Nord-Pas de Calais. Atouts
de
l'InSAR
pour
le
suivi
des
mouvements
de
terrain
dans
les zones
minières abandonnées Cette
analyse visait à étendre les capacités de détection des mouvements du sol
dans les zones non couvertes par le nivellement, ainsi qu'à comparer
l'analyse InSAR aux données de nivellement pour évaluer la robustesse des
mesures de déplacement par satellite. L'analyse InSAR a permis de mettre
en évidence des mouvements du sol de quelques millimètres par an, avec le
même ordre de précision que les méthodes classiques de nivellement. Les
déplacements du sol observés s'étendent bien au-delà du bassin houiller,
indiquant l'influence de facteurs non induits par l'exploitation minière, tels
que la géologie locale et la morphologie de surface. Nos conclusions
soulignent la capacité opérationnelle de l'InSAR spatial pour la
surveillance des bassins houillers abandonnés. 1 Introduction The Nord-Pas de Calais coal basin is located in the North of France. It extends from East to
West on approximately 100 km for a width of 10 to 20 km (figure 1). The basin was
exploited between 1750 and 1990, for a total production of 2400 Mt. Coal extraction, down
to more than 1000 m deep, and along superimposed seams, has generated subsidence that,
in some places, reached cumulatively more than 20 m. Fig. 1. Location and configuration of the Nord-Pas de Calais coalfield (underground mining works in
grey) Fig. 1. Location and configuration of the Nord-Pas de Calais coalfield (underground mining works in
grey) At the end of the exploitation, the termination of pumping operations initiated a
progressive flooding of underground works, which will last in the case of the Nord-Pas de
Calais basin more than one century. This flooding process may result in ground movements
at the surface overlying underground works. After a transition phase, lasting a few years, 2 https://doi.org/10.1051/e3sconf/202234202003 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 during which residual subsidence occurs, ground uplift is generally observed [1, 2]. This
uplift finds its origin in two mechanisms: during which residual subsidence occurs, ground uplift is generally observed [1, 2]. This
uplift finds its origin in two mechanisms: 1. The dilation of underground caved works under pore pressure rise: this
mechanism constitutes the main source of the uplift phenomenon, and will be
related to the volume of underground works; 2. The swelling of clay material present in the overburden: the contribution of this
second mechanism is much smaller and will concern essentially the first
hundreds of meters below the surface. Feedback on several European abandoned coalfields [3] shows that this uplift can reach
several centimetres or more. Largest uplifts are generally observed on places where largest
subsidence occurred during exploitation. Their kinetic is directly related to the one of rising
groundwater. In some cases (as observed for the Lorraine Coal basin in France), a small
reactivation of subsidence might be observed before heave, due to the rearrangement of
equilibrium found after residual subsidence. Although of much smaller intensity than
subsidence during exploitation, these ground movements induced by water recovery are not
negligible. g g
In the framework of its missions, the Post-mining Department of the French Geological
Survey (BRGM) has the mandate of surveying these potential ground movements. 1 Introduction The
most common used monitoring technique is levelling, performed at a given frequency. On
the Nord-Pas de Calais coal basin, five levelling lines of several kilometres long, which
were implemented during exploitation for the monitoring of subsidence, are used for the
post-mining survey and measured on a yearly basis. The levelling lines provide high precision (of a few millimetres) measurements of
ground movement. However, this technique stays spatially limited and does not offer the
opportunity to detect ground movements at the coalfield scale. Mining-induced ground
movement might occur also at places not covered by levelling. Mine water recovery is a process that can last several tens of years. With the goal to
optimise the long-term survey, an InSAR retro-analysis of ground movements, covering
more than 20 years after mine activity ceasing, has been realised on the Nord-Pas de Calais
coalfield. Our work aims to: 1. Extend ground movements detection capabilities in areas not covered by
levelling; 2. Compare InSAR analysis to levelling data to evaluate robustness of displacement
measurements by spaceborne geodetic techniques; 3. Investigate the impact of non-mining-induced factors on measured ground
movements. 2 Methodology Spaceborne InSAR is a technique for processing of SAR images acquired from Earth
Observation satellites. The interferometric processing of a sequence of SAR acquisitions
imaged from approximately the same location at different dates allows the measurement of
ground displacements, with a precision of a few millimetres. Such multi-temporal InSAR
analysis is applicable for monitoring wide areas, while permitting the retro-analysis using
already archived SAR data. The above facts make spaceborne InSAR a relevant technique
to detect and monitor mine induced ground deformation. In the current study, we aim at detecting motion rate typically of the order of several
millimetres per year (5 mm/yr or less, as expected by levelling campaigns), expanded over 3 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 https://doi.org/10.1051/e3sconf/202234202003 several kilometre distances. For this purpose, the entire archive of the European Space
Agency’s (ESA) historical ERS and ENVISAT as well as the Copernicus Sentinel-1 SAR
missions (in descending acquisition geometries) were used, covering an area of
approximately 5500 km2: 1. ERS mission – 246 images covering the period 1995-2000; three adjacent tracks
were necessary to cover the entire coalfield; 2. ENVISAT mission – 141 images covering the period 2002-2010; three adjacent
tracks were necessary to cover the entire coalfield; 3. Sentinel-1 mission – 164 IW TOPSAR images covering the period 2015-2018; a
single track was enough to cover the entire coalfield. Noteworthy is the fact that
the repeat cycle of Sentinel 1 mission is 6-12 days (compared to 35 days for ERS
and ENVISAT). For a given time span, Sentinel 1 provides a temporally denser
archive resulting into more robust InSAR results. The InSAR processing implemented is the interferometric stacking, which is based on
the estimation of the average displacement rates by examining a set of successfully
unwrapped differential interferograms [4, 5, and 6]. Processing was performed using the
GAMMA software packages [7]. Considering the large amount of data that had to be
managed, calculations were implemented on a Virtual Machine (VM) of the European
Space
Agency
(ESA)
Grid
Processing
on
Demand
(G-POD)
service
(https://gpod.eo.esa.int/). (
p
gp
)
For the co-registration of SAR scenes an iteration process applying initially image
matching followed by Enhanced Spectral Diversity approach [8, 9]. The ALOS Global
Digital Surface Model (AW3D30) (http://eorc.jaxa.jp/ALOS/en/aw3d30/) was used to
compensated for the topographic component. Multi-looking factors both in range and
azimuth were considered leading to interferometric outputs at 60m spatial resolution. 3 Results Displacements are measured along the radar beam’s Line-of-Sight (LOS). It is assumed that
ground motion is occurring essentially along the vertical direction, and given that the area is
practically flat, the vertical motion can therefore be reliably deduced from the LOS
measurements. Slight deviations could be introduced due to differences in the incident
angle between ERS/ENVISAT and Sentinel-1 observations. The displacement rates are expressed in millimetres per year over the considered period,
with local reference point at the town of Lille, far enough from the coalfield influence. As
expected, the density of InSAR results is much higher in urban and suburban areas
compared to vegetated lands (forest and/or agricultural fields), mainly due to temporal
decorrelation effects. 2 Methodology More
details on the interferometric methods used can be found in [10], [11], [12] and [13]. 3.1 ERS and ENVISAT observation periods (1995-2000 and 2002-2010) A significant subsidence reaching approximately 4 mm/year can be noticed in the central
region of the coalfield during the ERS observation period (1995-2000) (figure 2). This
phenomenon occurs a few years after the end of the exploitation and might be attributed to
residual subsidence. During the following period, ENVISAT observation (2002-2010), the
subsidence in this central region is lower but still present (at 2 mm/year), despite the fact
that residual subsidence is expected to end few months to few years after exploitation [14]. 4 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 https://doi.org/10.1051/e3sconf/202234202003 An increase in subsidence rates can be observed on some isolated areas during the
ENVISAT period, e.g. more than 12 years after the end of coal exploitation. This
observation points out a clear and significant impact of non-mining-induced phenomena on
measured ground movements. This result is developed in paragraph 3.3. Fig. 2. InSAR ground displacement rates during ERS (1995-2000) (up) and ENVISAT (2002-2010)
(down) observation periods. Selected local reference point shown as square. In background a
hillshade based on the AW3D30 DSM heights. Black polygons correspond to mining concessions
(see Figure 1). Fig. 2. InSAR ground displacement rates during ERS (1995-2000) (up) and ENVISAT (2002-2010)
(down) observation periods. Selected local reference point shown as square. In background a
hillshade based on the AW3D30 DSM heights. Black polygons correspond to mining concessions
(see Figure 1). 3.2 Sentinel-1 observation period (2015-2018) Subsidence is still observed over the main part of the region reaching in some places up to 5
mm/year (figure 3). At the eastern part of the coal basin subsidence is still ongoing, while
extending much farer than the mining works influence, especially towards the southeast. Other areas with no relation to the coalfield show also significant subsidence, however,
they cannot be attributed to mining-induced effects. Specific natural areas, such as
riverbeds, are characterised by high subsidence rates, while a very localised uplift pattern is
recognised within the urban area of Valenciennes (figure 4). 5 5 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 https://doi.org/10.1051/e3sconf/202234202003 Journées Scientifiques AGAP Qualité 2022 All these observations point out the influence of natural and/or non-mining-induced
anthropogenic phenomena. These phenomena should be taken into account when
interpreting the origin of ground movements in the coal basin. All these observations point out the influence of natural and/or non-mining-induced
anthropogenic phenomena. These phenomena should be taken into account when
interpreting the origin of ground movements in the coal basin. Fig. 3. Sentinel-1 InSAR ground displacement rates for the period 2015-2018. Selected local
reference point shown as square. In background a hillshade based on the AW3D30 DSM heights. Black polygons correspond to mining concessions (see Figure 1). Fig. 3. Sentinel-1 InSAR ground displacement rates for the period 2015-2018. Selected lo
reference point shown as square. In background a hillshade based on the AW3D30 DSM heig
Black polygons correspond to mining concessions (see Figure 1). Fig. 3. Sentinel-1 InSAR ground displacement rates for the period 2015-2018. Selected local
reference point shown as square. In background a hillshade based on the AW3D30 DSM heights. Black polygons correspond to mining concessions (see Figure 1). Fig. 4. Subsidence along a channelled river and localised uplift in urban area of Valenciennes, as
shown by Sentinel-1 InSAR results (period 2015-2018). Satellite imagery layer in background (source
ESRI basemaps). Fig. 4. Subsidence along a channelled river and localised uplift in urban area of Valenciennes, as
shown by Sentinel-1 InSAR results (period 2015-2018). Satellite imagery layer in background (source
ESRI basemaps). 3.3 Influence of non-mining-induced phenomena 7 7 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 https://doi.org/10.1051/e3sconf/202234202003 3.3 Influence of non-mining-induced phenomena Large and long-term geological processes, such as tectonic activity or post-glacial rebound,
might generate ground movements reaching up to 1 cm/year in the Nord-Pas de Calais
region [15]. However, the most important natural factor remains local geology. Figure 5
shows the geology characterizing the Nord-Pas de Calais region. The coalfield is located
close to the boundary between upper Cretaceous (green colour, mainly at the SW of the 6 6 6 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 https://doi.org/10.1051/e3sconf/202234202003 coal basin) and lower Eocene (orange colour, dominating the north-eastern part of the coal
basin). The eastern part of the coal basin is also characterized by an important amount of
alluvial deposits (light grey colour). Highest subsidence rates are essentially observed in
this part of the coal basin during the Sentinel-1 observation period (cf. Figure 3), one of the
most remarkable example being along the channelled Sensée riverbed. coal basin) and lower Eocene (orange colour, dominating the north-eastern part of the coal
basin). The eastern part of the coal basin is also characterized by an important amount of
alluvial deposits (light grey colour). Highest subsidence rates are essentially observed in
this part of the coal basin during the Sentinel-1 observation period (cf. Figure 3), one of the
most remarkable example being along the channelled Sensée riverbed. No further attempts were made to interpret these naturally induced (non-mining related)
signals, given the focus of the current work. Fig. 5. Geology of the Nord-Pas de Calais coalfield area (BRGM 1/1.000.000 scale geological map,
source http://infoterre.brgm.fr). Mining concessions are shown as dark red polygons. Fig. 5. Geology of the Nord-Pas de Calais coalfield area (BRGM 1/1.000.000 scale geological map,
source http://infoterre.brgm.fr). Mining concessions are shown as dark red polygons. Anthropogenic activities might also result in significant ground movements. Figure 6
shows a detail view of the central part of the coal basin, where the highest ground
displacement rates are identified on open pit quarries, often associated with old coal
extraction waste heaps. Other anthropogenic factors such as ground water pumping for
domestic use or forgotten underground stone quarries might also induce ground
movements. movements. Fig. 6. Correlation between highest observed displacement rates (period 2015-2018) and
anthropogenic activities (quarries, red rectangles) in the study area. Fig. 6. Correlation between highest observed displacement rates (period 2015-2018) and
anthropogenic activities (quarries, red rectangles) in the study area. 4 Intercomparison between InSAR and levelling The location of the five levelling lines used for ground movement surveys on the coal basin
is shown in figure 7. As previously mentioned, they do not allow for a complete coverage
of the coalfield, whereas some of them are located within the underground works influence
zone. Each levelling line measurement is referred to benchmarks located at both ends of the
line. Measurements are carried out once per year, with precision at the order of a few
millimetres. Two of the levelling lines indicate a continuous subsidence since the beginning of the
measurements (examples of the Billy-Montigny and Lens levelling lines, figure 7), at a rate
of 1 to 4 mm/year. Two others do not show clear trend, with lower displacement rates
(Bruay and Estevelles-Courrières levelling lines). The last one shows apparent continuous
uplift since the beginning of the measurements (Wallers-Arenberg levelling line). p
g
g
(
g
g
)
Fig. 7. Location of the five levelling line in the Nord-Pas de Calais coal basin and the corresponding
vertical displacement measurements for campaigns between 2011 and 2018. The inter-comparison between InSAR displacement rates and levelling has been done
for the period 2015-2018 covered by Sentinel-1 mission data. Fig. 7. Location of the five levelling line in the Nord-Pas de Calais coal basin and the corresponding
vertical displacement measurements for campaigns between 2011 and 2018. The inter-comparison between InSAR displacement rates and levelling has been done
for the period 2015-2018 covered by Sentinel-1 mission data. The inter-comparison between InSAR displacement rates and levelling has been done
for the period 2015-2018 covered by Sentinel-1 mission data. 8 8 https://doi.org/10.1051/e3sconf/202234202003 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 The results presented in the former paragraph, particularly through figures 3 and 5,
show the strong influence of non-mining-induced factors, especially geology, on the origin
of measured ground movements. Hence, the potential mining-induced contribution (that
could be associated with rising groundwater) to these already very small movements,
cannot be distinguished from that associated with non-mining-induced phenomena. The following proposed interpretation considers then the measured ground movements
as the sum of all factors likely to generate ground movements, without being able at this
stage to distinguish them. The impact of non-mining-induced phenomena, however, appears
to be preponderant. Figure 8 presents InSAR displacement rates in the surroundings of the Wallers levelling
line. 4 Intercomparison between InSAR and levelling Alluvial deposits are particularly presents in the sector where this levelling line is
implemented. Figure 8 shows that the benchmarks at both ends of the levelling line are also
affected by ground movements during the observation period. Subsidence rates at the
levelling benchmarks up to 4.3 mm/year are measured. This relative movement of the
levelling benchmarks generates an offset, which must be corrected when interpreting
levelling data. Moreover, the middle part of the Wallers levelling line appears to undergo slower
subsidence than its ends, with displacement rates less than 3 mm/yr. Therefore, what was
interpreted as uplift based on levelling (Figure 7) is in fact the result of subsidence being
faster at its ends where the reference benchmarks are located (Figure 8). Fig. 8. InSAR ground displacement rates in the Wallers levelling line area, Sentinel-1 period (2015-
2018). World topographic map in background (source ESRI basemaps). Fig. 8. InSAR ground displacement rates in the Wallers levelling line area, Sentinel-1 period (2015-
2018). World topographic map in background (source ESRI basemaps). Fig. 8. InSAR ground displacement rates in the Wallers levelling line area, Sentinel-1 period (2015-
2018). World topographic map in background (source ESRI basemaps). This intercomparison points out that differential motion between benchmarks at both
ends of a levelling line (i.e. one exhibits a relative motion respect to the other), shall
introduce not only an offset but also a distortion in the produced displacement profile. This This intercomparison points out that differential motion between benchmarks at both
ends of a levelling line (i.e. one exhibits a relative motion respect to the other), shall
introduce not only an offset but also a distortion in the produced displacement profile. This 9 9 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 https://doi.org/10.1051/e3sconf/202234202003 is clearly visible on the Bruay levelling line (the westernmost line in the coalmine basin;
see figure 7) for which a difference of about 1 mm/yr is observed between both ends (figure
9). is clearly visible on the Bruay levelling line (the westernmost line in the coalmine basin;
see figure 7) for which a difference of about 1 mm/yr is observed between both ends (figure
9). Fig. 9. Displacement rate differences along the Bruay levelling line, after adjustment on one of the
levelling benchmarks. Fig. 9. Displacement rate differences along the Bruay levelling line, after adjustment on one of the
levelling benchmarks. 4 Intercomparison between InSAR and levelling Following the adjustment of the InSAR displacement rates to compensate for the
referencing differences generated by the movement of levelling benchmarks, displacements
rates calculated with both methods fit remarkably well (figure 10). This result shows that
InSAR is a perfectly adapted tool to monitor ground displacements with a precision
equivalent to that of levelling method. 10 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 https://doi.org/10.1051/e3sconf/202234202003 Fig. 10. Comparison of the displacements calculated from Sentinel-1 InSAR and levelling for (a)
Billy-Montigny, (b) Estevelles-Courrières, (c) Lens and (d) Wallers-Arenberg levelling lines (see
Figure 7). Fig. 10. Comparison of the displacements calculated from Sentinel-1 InSAR and levelling for (a)
Billy-Montigny, (b) Estevelles-Courrières, (c) Lens and (d) Wallers-Arenberg levelling lines (see
Figure 7). Fig. 10. Comparison of the displacements calculated from Sentinel-1 InSAR and levelling for (a)
Billy-Montigny, (b) Estevelles-Courrières, (c) Lens and (d) Wallers-Arenberg levelling lines (see
Figure 7). 5 Conclusion This study demonstrated that the effective monitoring of mining-induced ground
movements at the scale of a coalfield requires techniques able to operate at large spatio-
temporal scales as well as properly designed to facilitate identification of non-mining
related deformation mechanisms, particularly the influence of local geological conditions. Spaceborne InSAR techniques offers the opportunity to examine historical data archives,
while covering much larger regions compared to standard levelling methods. By achieving
comparable level of precision, InSAR has been proven well suited for revealing ground
movements not detectable by local levelling campaigns. InSAR appears also as a complementary tool to emphasize the impact of non-mining-
induced phenomena on levelling measurements, especially on the potential movement of
levelling benchmarks. These results highlight the necessity of being cautious when
interpreting the origin of damages caused by ground movements. Our findings underline the capability of satellite InSAR for the operational surveying of
ground movements on abandoned coalfields. The ability to cover wide area, the frequency
of data availability, the accuracy of the measured displacements and the opportunity to
perform retro analysis are strong assets in post-mining monitoring context. The authors would like to thank the French Ministry for the Ecological and Inclusive Transition, for
financial support and the ESA Research and Service Support (RSS) for the provisioning of the
employed computer resources. The Hauts de France Regional Directorate for Environment,
Development and Housing (DREAL) is also gratefully acknowledged. 11 https://doi.org/10.1051/e3sconf/202234202003 E3S Web of Conferences 342, 02003 (2022)
Journées Scientifiques AGAP Qualité 2022 E3S Web of Conferences 342, 02003 (2022) References 1. C. Banton, L. Bateson, H. McCormack, R. Holley, I.A. Watson, R. Burren, D. Lawrence, F. Cigna, Proceedings of the Mine Closure International conference, 97–
108 (M Tibbett, AB Fourie & C Digby (eds), 2013) 2. X. Devleeschouwer, P.Y. Declercq, B. Flamion, J. Brixko, A. Timmermans, J. Vanneste, Proceedings of the Post-Mining Symposium (2008) 3. C. Herrero, A. Munoz, J.C. Catalina, F. Hadj-Hassen, R. Kuchenbecker, V. Spreckels,
J. Juzwa, S. Bennett, M. Purvis, D. Bigby, D. Moore, Prediction and monitoring of
subsidence hazards above coal mines (Presidence), RFCS Presidence project final
report,
https://op.europa.eu/en/publication-detail/-/publication/598607f4-5606-4a80-
90f5-39406c498b3f/language-en (2012) 4. T. Strozzi, U. Wegmüller, C. Werner, A. Wiesmann, 2000, IEEE International
Geoscience and Remote Sensing Symposium, 24 (IGARSS, 2000) 5. E. Papageorgiou, M. Foumelis, I. Parcharidis, IEEE Journal of Selected Topics in
Applied
Earth
Observations
and
Remote
Sensing,
5(5),
1531,
doi:
10.1109/JSTARS.2012.2198871 (2012) 6. E. Papageorgiou, M. Foumelis, A. Mouratidis, C. Papazachos, IEEE International
Geoscience and Remote Sensing Symposium (IGARSS, 2018) 7. U. Wegmüller, C. Werner, T. Strozzi, A. Wiesmann, O. Frey, M. Santoro, Procedia
Computer Science, 100, 1305 (2016) 8. R. Scheiber, A. Moreira, IEEE Transactions on Geoscience and Remote Sensing, 38,
2179 (2000) 9. P. Prats-Iraola, M. Nannini, N. Yague-Martinez, R. Scheiber, F. Minati, F. Vecchioli,
M. Costantini, S. Borgstrom, P. De Martino, V. Siniscalchi, T. Walter, M. Foumelis,
Y.L. Desnos, IEEE International Geoscience and Remote Sensing Symposium
(IGARSS, 2016) 10. D. Massonnet, K. Feigl, Rev. Geophys., 36-4, 441 (1998) 10. D. Massonnet, K. Feigl, Rev. Geophys., 36-4, 441 (1998)
11
d
f
d
d
l
(S 11. R.F. Hanssen, Radar Interferometry: data interpretation and error analysis (Springer
Verlag edition, 2001) 11. R.F. Hanssen, Radar Interferometry: data interpretation and error analysis (Springer
Verlag edition, 2001)
12. D. Raucoules, C. Colesanti, C. Carnec, Compte Rendus Geosciences, 339-5, 289 Verlag edition, 2001)
12. D. Raucoules, C. Colesanti, C. Carnec, Compte Rendus Geosciences, 339-5, 289
(2007) D. Raucoules, C. Colesanti, C. Carnec, Compte Rendus Geosciences, 339-5, 289
(2007) 12. D. Raucoules, C. Colesanti, C. Carnec, Compte Rendus Geosciences, 339-5, 289
(2007)
13. M. Foumelis, D. Raucoules, B. Colas, M. de Michele, Proceedings of the International
Geoscience and Remote Sensing Symposium (2019) (2007)
13. M. Foumelis, D. Raucoules, B. Colas, M. de Michele, Proceedings of the International
Geoscience and Remote Sensing Symposium (2019) (
)
13. M. Foumelis, D. Raucoules, B. Colas, M. de Michele, Proceedings of the International
Geoscience and Remote Sensing Symposium (2019) 14. References B.N. Whittaker, D.J. Reddish, Subsidence. Occurrence, Prediction and Control,
(Elsevier, 1989) 15. H. Van Vliet-Lanoë, Evolution morphotectonique récente du bassin houiller Nord-Pas
de Calais dans le cadre de l’Europe de l’Ouest, (Specific report for Charbonnages de
France, 1999) 12
|
https://openalex.org/W3215890699
|
https://bmcpublichealth.biomedcentral.com/track/pdf/10.1186/s12889-021-12211-8
|
English
| null |
Association of early-life undernutrition and risk of dyslipidemia in adulthood: a population-based cohort study
|
BMC public health
| 2,021
|
cc-by
| 7,033
|
Association of early-life undernutrition
and risk of dyslipidemia in adulthood:
a population-based cohort study Minmin Wang1†, Mengfei Liu1†, Chuanhai Guo1, Fenglei Li2, Zhen Liu1, Yaqi Pan1, Fangfang Liu1, Ying Liu1,
Huanyu Bao1, Zhe Hu1, Hong Cai1, Zhonghu He1* and Yang Ke1* Minmin Wang1†, Mengfei Liu1†, Chuanhai Guo1, Fenglei Li2, Zhen Liu1, Yaqi Pan1, Fangfang Liu1, Ying Liu1,
Huanyu Bao1, Zhe Hu1, Hong Cai1, Zhonghu He1* and Yang Ke1* Wang et al. BMC Public Health (2021) 21:2129
https://doi.org/10.1186/s12889-021-12211-8 Wang et al. BMC Public Health (2021) 21:2129
https://doi.org/10.1186/s12889-021-12211-8 Abstract 1 Key Laboratory of Carcinogenesis and Translational Research (Ministry
of Education/Beijing), Laboratory of Genetics, Peking University Cancer
Hospital & Institute, #52 Fucheng Rd, Haidian District, 100142 Beijing,
China *Correspondence: zhonghuhe@foxmail.com; keyang@bjmu.edu.cn
†Minmin Wang and Mengfei Liu contributed equally to this work. Background
Mortality associated with cardiovascular disease
(CVD) has risen in China over the last decade, and
CVD accounted for over 40% of deaths from all
causes in 2014 [1]. Lipid abnormalities are a principal Full list of author information is available at the end of the article Abstract Background: The association of early-life undernutrition and dyslipidemia found in previous studies may be con-
founded by the uncontrolled age difference between exposed and unexposed participants. The study aimed to
investigate the association of early-life undernutrition and the risk of dyslipidemia in adulthood with good control of
the age variable. Methods: We took the Great Chinese Famine (1959–1961) as a natural experiment of severe undernutrition. This
study was based on the baseline investigation of a population-based cohort in rural China. Undernutrition in early
life was defined as being exposed to famine at younger than 3 years of age. Three approaches including Adjustment,
Restriction, and Matching were applied to control the confounding effect of age. Logistic regression models were
applied to evaluate the association between early-life famine and the presence of dyslipidemia. Stratified analysis by
gender was also performed, and potential effect modification was tested by adding the interaction term of the fam-
ine exposure variable and gender into the model. Results: Undernutrition in early life was associated with increased risk of borderline high and above (BHA) levels
of total cholesterol (TC, ORAdjustment = 1.61; ORRestriction = 1.56; ORMatching = 1.87), triglycerides (TG, ORAdjustment = 1.33;
ORRestriction = 1.30; ORMatching = 1.34), low-density lipoprotein cholesterol (LDL-C, ORAdjustment = 1.75; ORRestriction = 1.53;
ORMatching = 1.77) and dyslipidemia (ORAdjustment = 1.52; ORRestriction = 1.45; ORMatching = 1.60), as well as high levels of
TC, TG, LDL-C and dyslipidemia. An inverse association of undernutrition and risk of low high-density lipoprotein
cholesterol (HDL-C) was found. Female participants with undernutrition experience had an increased risk of BHA TG
and LDL-C (TG: ORAdjustment, female = 1.45; ORRestriction, female = 1.39; ORMatching, female = 1.51; LDL-C: ORAdjustment, female = 2.11;
ORRestriction, female = 1.80; ORMatching, female = 2.15), but this association was not found in males. Conclusion: Early-life undernutrition increased the risk of TC, TG, LDL-C, and dyslipidemia. Gender would significantly
modify this effect for TG and LDL-C. These results emphasize the importance of nutritional conditions in the early
stages of life to long-term health consequences. Keywords: Undernutrition, Great Chinese Famine, Dyslipidemia, Confounding effect *Correspondence: zhonghuhe@foxmail.com; keyang@bjmu.edu.cn
†Minmin Wang and Mengfei Liu contributed equally to this work. Methods
P
l ti contributor to CVD, and the prevalence of dyslipidemia
is over 30% in rural residents in China [2–5]. Dyslipi-
demia is a long-term result of the combined effects of
genetic factors and environmental exposure (such as
unhealthy diet and lifestyle). Exposure to undernutri-
tion in early life will likely have a long-term influence
on lipid metabolism mode [6–8]. This study was conducted in Hua County of Henan Prov-
ince, China, which covered an area of 700 mile2. This area
is predominantly rural and 90% of the total population is
involved in agriculture. Henan province suffered severe
food shortages during the Great Famine. The mortal-
ity in 1960 reached 39.6‰, which was two-fold higher
than the average level in 1956–58 [9, 13]. The population
sizes of individuals of 51–53 years (born in 1959–1961)
decreased about 50% compared with the population of
54–56 years (born in 1956–1958) according to the popu-
lation statistics in 2012 [14]. China experienced a serious famine in 1959–1961,
which caused millions of excess deaths with an annual
mortality of over 3.0% during the years of famine [9–
11]. The Great Chinese Famine was characterized by
long duration, a large affected geographic area, and the
serious consequences it engendered. In the current era,
most middle-aged Chinese were exposed to this famine
at some point in their early life.h The study enrolled participants aged 45–69 years from
668 randomly selected villages in Hua County based on
the baseline investigation of Endoscopic Screening for
Esophageal Cancer in China (ESECC) randomized con-
trolled trial (ClinicalTrials.gov identifier: NCT01688908). The design and preliminary results of the “ESECC” trial
can be found elsewhere [15]. Briefly, 668 out of 846 vil-
lages in rural Hua County with population size ranging
from 500 to 3000 were randomly selected and permanent
residents aged 45–69 in each of the target villages were
invited to participate in the trial on a voluntary basis. A
total of 35,772 permanent residents were recruited dur-
ing the period December 2011–September 2016. There have been several studies that have taken the
1959–61 Chinese famine as a natural experiment to
investigate the association of severe undernutrition
and the onset of dyslipidemia in adulthood. Methods
P
l ti As it is
difficult to establish an “unexposed control” in paral-
lel with the famine-exposed cohort, previous stud-
ies typically applied a “birth cohort” design, where the
control cohorts are selected from individuals of post-
famine birth who are at least 3–5 years younger than
the exposed subjects. The association of undernutri-
tion and the risk of dyslipidemia is then evaluated by
comparing the prevalence of dyslipidemia in these two
cohorts. However, under this study design, it is of con-
cern that the estimated undernutrition effect might
be confounded by age, as age is strongly associated
with undernutrition exposure as well as with the risk
of dyslipidemia [4]. Given the fact there is almost no
overlap in the age range in the two birth cohorts, using
multivariable models in traditional statistical meth-
ods may not be sufficient to diminish the confound-
ing effect of age. One meta-analysis [12] suggested
that most of the associations observed in undernutri-
tion and metabolic syndrome would turn null if age
was additionally matched when selecting the control
cohorts. This revealed that uncontrolled age differences
might explain some aspects of the effect attributed to
undernutrition in previous studies. As a result, age dif-
ferences in undernutrition exposed and unexposed
cohorts should be controlled as the priority in studies
investigating the association between early-life under-
nutrition and long-term health risk. g
p
p
All participants in this study were measured for height
and weight at enrollment. Participants’ seated blood
pressure was measured after 5 min of rest with a mer-
cury sphygmomanometer. A computer-aided one-on-one
questionnaire was completed by well-trained interview-
ers to collect information on personal characteristics,
socioeconomic status, lifestyle factors and health sta-
tus. A fasting blood sample of ~ 5 mL was then collected
from each participant in a heparin sodium anticoagulant
tube. These tubes were then centrifuged at 1000 rpm
for 5 min and the supernatants were sent within 4 h for
measurement of total cholesterol (TC), low-density lipo-
protein cholesterol (LDL-C), high-density lipoprotein
cholesterol (HDL-C) and triglycerides (TG) at the clini-
cal laboratory of Hua County People’s Hospital. Lipid
measurements were conducted using a HITACHI7600
automatic biochemistry analyzer (Hitachi High Technol-
ogies Co., Tokyo, Japan) with commercially available rea-
gents (Autobio Diagnostics Co., Ltd., Beijing, China). All
experiments were performed in accordance with relevant
guidelines and regulations. Detailed information on the
measurement of lipids can be found elsewhere [4]. Methods
P
l ti In this study, we applied three approaches for analy-
sis, namely Adjustment, Restriction, and Matching
to control for the confounding effect of age, and then
investigated the association of early-life undernutrition
exposure and risk of dyslipidemia in adulthood based
on the baseline investigation of a population-based
cohort in rural China. © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco
mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Wang et al. BMC Public Health (2021) 21:2129 Page 2 of 9 Page 2 of 9 Definition of dyslipidemia According to the guidelines for the prevention and
treatment of dyslipidemia in Chinese adults (2016 ver-
sion), borderline high TC was defined as ≥200 mg/dL
(5.2 mmol/L) and <240 mg/dL (6.2 mmol/L); high TC
as ≥240 mg/dL (6.2 mmol/L); borderline high TG as
≥150 mg/dL (1.7 mmol/L) and <200 mg/dL (2.3 mmol/L);
high TG as ≥200 mg/dL (2.3 mmol/L); borderline high
LDL-C as ≥130 mg/dL (3.4 mmol/L) and <160 mg/dL
(4.1 mmol/L); high LDL-C as ≥160 mg/dL (4.1 mmol/L);
reduced HDL-C as <40 mg/dL (1.0 mmol/L). In view
of discrepancies in age distribution [4] and in the iden-
tified association of HDL-C and other lipid indicators Statistical analysis was performed using STATA (Ver-
sion 13.1; Stata Corp LLC, TX, USA). All tests were two-
sided and P values < 0.05 were considered statistically
significant. Covariates Risk factors for dyslipidemia identified in the previous
study were collected as covariates [4], including age,
occupation (physical or nonphysical worker), body mass
index (BMI: normal, overweight, or obesity), blood pres-
sure (normal, or hypertension), cigarette smoking (no
smoking, moderate-smoker, and heavy-smoker), alcohol
drinking (no drinking, moderate-drinker, and heavy-
drinker), fried food intake (seldom intake, occasional or
often intake), salty food intake (seldom intake, occasional
or often intake), spicy food intake (seldom intake, occa-
sional or often intake), heartburn and regurgitation, and
self-reported history of diabetes. Detailed information on
the definitions and coding forms of the covariates were
listed in Supplementary Table 1. Distinct from other cross-sectional studies, the base-
line investigation of the “ESECC” continued from 2011
to 2016. Due to the five-year enrollment process, par-
ticipants in both the undernutrition-exposed and non-
exposed cohorts had a relatively wide age range at
enrollment where individuals were at 50–60 years and
43–53 years in the exposed and non-exposed cohort,
respectively. The overlap in age at enrollment provided
an opportunity to control the confounding effect of age
through three analytical approaches. First, under the
Adjustment Approach, all participants who fulfilled the
eligibility criteria were included, and a multivariable
model was adopted to adjust the age variable as in previ-
ous studies [16, 17]. Secondly, the Restriction Approach
included only participants aged 50–53 years (the over-
lapped age range for undernutrition-exposed cohort and
non-exposed cohort) in order to decrease the age differ-
ence between cohorts before statistical adjustment. The
multivariable model was also applied to further diminish
the confounding effect of age. Lastly, under the Matching
Approach, individual-level matching was applied to com-
pletely rule out the confounding effect of the age variable
where each subject in the undernutrition-exposed cohort
was matched to a subject from the non-exposed cohort
by age and gender. These three approaches showed an
increasingly strong capacity to control age differences
between cohorts despite decreased sample size (Fig. 1). Study design Undernutrition exposure was defined based on partici-
pants’ date of birth. Individuals who were under the age
of 3 during the 1959–1961 Great Chinese Famine (i.e., Wang et al. BMC Public Health (2021) 21:2129 Page 3 of 9 born between 1 January 1956 and 31 December 1961)
were defined as having early-life undernutrition. The
non-exposed cohort was defined as participants born
between 1 January 1963 and 31 December 1968 with one
year after the famine as a washout period to minimize
misclassification. born between 1 January 1956 and 31 December 1961)
were defined as having early-life undernutrition. The
non-exposed cohort was defined as participants born
between 1 January 1963 and 31 December 1968 with one
year after the famine as a washout period to minimize
misclassification. (Fig. 2, Supplementary Fig. 1), dyslipidemia was defined
based only on TC, TG and LDL-C. Two sets of defini-
tions for dyslipidemia were used in this study, namely
borderline high and above (BHA) dyslipidemia, and high
dyslipidemia. BHA dyslipidemia was defined as the pres-
ence of a high level or borderline high level of any factor
including TC, TG and LDL-C, and high dyslipidemia was
defined as the presence of a high level of any one of these
three lipid molecules in a given study subject. i
Eligibility criteria for the current study included: 1)
“ESECC” cohort member; 2) member of the defined
undernutrition exposed or non-exposed cohorts; 3)
signed informed consent for participation; 4) question-
naire completed; 5) blood samples provided, with valid
test results for blood lipids. Statistical analysis
Th Chi The Chi-square test and Student t-test were used to com-
pare demographic characteristics and behavioral factors
in exposed and non-exposed cohorts. Logistic regres-
sion models were applied to evaluate the association of
early-life undernutrition experience and the presence of
dyslipidemia. In multivariable models, covariates of risk
factors for dyslipidemia were adjusted. The identified
associations were further validated in subgroup analy-
sis stratified by BMI groups given the strong association
of BMI and dyslipidemia. Considering the gender het-
erogeneity in dyslipidemia prevalence, trends with age
and associated factors [4], we estimated the association
in stratification of gender. Potential interaction between
undernutrition exposure and gender was tested by add-
ing an interaction term of the undernutrition variable
and gender into the model. Results From the baseline investigation of the ESECC trial,
7474 participants in the exposed cohort and 4666 in the
non-exposed cohort were eligible for the current study. All 12,140 eligible individuals were enrolled into the Wang et al. BMC Public Health (2021) 21:2129 Page 4 of 9 Fig. 1 Flowchart for participants enrolled in three analytic approaches Fig. 1 Flowchart for participants enrolled in three analytic approaches matching, the mean age was 51.85 years for both
cohorts. The exposed and non-exposed cohorts showed
significant differences in BMI, prevalence of hyper-
tension, and intake of spicy food. These two groups of
participants did not show marked differences in other
behavioral or lifestyle variables. Regarding the distri-
bution of lipid indicators, undernutrition exposed sub-
jects had a significantly higher level of TC and HDL-C
compared with non-exposed participants across these
three analytic approaches. The undernutrition exposure
was also associated with a significantly higher level of
TG under the Restriction and Matching Approach. For
LDL-C, the Adjustment Approach demonstrated a sig-
nificant difference in these two groups but not in the
other two approaches. Adjustment Approach, and from this group, 3201 indi-
viduals aged 50–53 years (2477 from the undernutrition
exposed cohort and 724 from the non-exposed cohort)
were enrolled into the Restriction Approach; and 531
age- and gender-matched pairs (1062 individuals) were
included in the Matching Approach (Fig. 1). Key demographic characteristics and behavior vari-
ables were compared in the exposed and non-exposed
cohorts using three separate analytic approaches
(Table 1, Supplementary Table 2). In the Adjust-
ment Approach, the mean age of enrolled partici-
pants was 48.78 years for the non-exposed cohort and
55.86 years for the exposed cohort. In the Restriction
Approach, the mean age was 50.94 and 52.16 years for
non-exposed and exposed subjects. In individual-level Wang et al. BMC Public Health (2021) 21:2129 Page 5 of 9 Fig. 2 Estimates of association of early-life undernutrition and risk of dyslipidemia in three analytic approaches*. A Association of early-life
undernutrition and risk of borderline high and above (BHA) status of dyslipidemia in adulthood. B Association of early-life undernutrition and risk
of high status of dyslipidemia in adulthood. *ORs were adjusted for age, occupation, BMI, blood pressure, cigarette smoking, alcohol drinking, fried
food intake, salty food intake, spicy food intake, heartburn and regurgitation, and self-reported history of diabetes Fig. Results TG and BHA LDL-C in females (TG: ORAdjustment,
female = 1.45, 95% CI: 1.17–1.81; ORRestriction, female = 1.39,
95% CI: 1.04–1.86; ORMatching, female = 1.51, 95% CI: 1.04–
2.20; LDL-C: ORAdjustment, female = 2.11, 95% CI: 1.47–3.02;
ORRestriction, female = 1.80, 95% CI: 1.15–2.81; ORMatching,
female = 2.15, 95% CI: 1.19–3.88). However, this associa-
tion was not identified among males. The gender specific
association patterns of undernutrition and TC, HDL-C,
and dyslipidemia were not consistent across the three
analytic approaches (Fig. 3, Supplementary Fig. 1). TG and BHA LDL-C in females (TG: ORAdjustment,
female = 1.45, 95% CI: 1.17–1.81; ORRestriction, female = 1.39,
95% CI: 1.04–1.86; ORMatching, female = 1.51, 95% CI: 1.04–
2.20; LDL-C: ORAdjustment, female = 2.11, 95% CI: 1.47–3.02;
ORRestriction, female = 1.80, 95% CI: 1.15–2.81; ORMatching,
female = 2.15, 95% CI: 1.19–3.88). However, this associa-
tion was not identified among males. The gender specific
association patterns of undernutrition and TC, HDL-C,
and dyslipidemia were not consistent across the three
analytic approaches (Fig. 3, Supplementary Fig. 1). TG and BHA LDL-C in females (TG: ORAdjustment,
female = 1.45, 95% CI: 1.17–1.81; ORRestriction, female = 1.39,
95% CI: 1.04–1.86; ORMatching, female = 1.51, 95% CI: 1.04–
2.20; LDL-C: ORAdjustment, female = 2.11, 95% CI: 1.47–3.02;
ORRestriction, female = 1.80, 95% CI: 1.15–2.81; ORMatching,
female = 2.15, 95% CI: 1.19–3.88). However, this associa-
tion was not identified among males. The gender specific
association patterns of undernutrition and TC, HDL-C,
and dyslipidemia were not consistent across the three
analytic approaches (Fig. 3, Supplementary Fig. 1). Results 2 Estimates of association of early-life undernutrition and risk of dyslipidemia in three analytic approaches*. A Association of early-life
undernutrition and risk of borderline high and above (BHA) status of dyslipidemia in adulthood. B Association of early-life undernutrition and risk
of high status of dyslipidemia in adulthood. *ORs were adjusted for age, occupation, BMI, blood pressure, cigarette smoking, alcohol drinking, fried
food intake, salty food intake, spicy food intake, heartburn and regurgitation, and self-reported history of diabetes To evaluate the effect of early-life undernutrition
on long-term risk of dyslipidemia, we compared the
prevalent risk of dyslipidemia in the exposed cohort to
that of the non-exposed cohort. As shown in Fig. 2A,
undernutrition increased the risk of having BHA TC
(ORAdjustment = 1.61, 95% CI: 1.37–1.89; ORRestriction = 1.56,
95% CI: 1.27–1.93; ORMatching = 1.87, 95% CI: 1.42–
2.47), TG (ORAdjustment = 1.33, 95% CI: 1.13–1.55;
ORRestriction = 1.30, 95% CI: 1.05–1.60; ORMatching = 1.34,
95% CI: 1.02–1.76), LDL-C (ORAdjustment = 1.75, 95%
CI: 1.35–2.27; ORRestriction = 1.53, 95% CI: 1.10–2.12;
ORMatching = 1.77, 95% CI: 1.15–2.73), and dyslipidemia
(ORAdjustment = 1.52, 95% CI: 1.31–1.76; ORRestriction = 1.45,
95% CI: 1.19–1.77; ORMatching = 1.60, 95% CI: 1.24–2.06),
and these associations were statistically significant over
all three approaches. When the outcome was set as high
levels of TC, TG, LDL-C, and dyslipidemia (Fig. 2B),
similar patterns of association were observed. Regard-
ing HDL-C, an inverse association in undernutrition and
risk of low HDL-C was identified (ORAdjustment = 0.34,
95% CI: 0.26–0.43; ORRestriction = 0.27, 95% CI: 0.18–0.42;
ORMatching = 0.30, 95% CI: 0.18–0.51, Supplementary
Fig. 1). The identified association of undernutrition expo-
sure and risk of dyslipidemia remained in subgroup anal-
ysis stratified by BMI groups, especially in participants
with BMI ≤ 24 kg/m2 (Supplementary Fig. 2).i TG and BHA LDL-C in females (TG: ORAdjustment,
female = 1.45, 95% CI: 1.17–1.81; ORRestriction, female = 1.39,
95% CI: 1.04–1.86; ORMatching, female = 1.51, 95% CI: 1.04–
2.20; LDL-C: ORAdjustment, female = 2.11, 95% CI: 1.47–3.02;
ORRestriction, female = 1.80, 95% CI: 1.15–2.81; ORMatching,
female = 2.15, 95% CI: 1.19–3.88). However, this associa-
tion was not identified among males. The gender specific
association patterns of undernutrition and TC, HDL-C,
and dyslipidemia were not consistent across the three
analytic approaches (Fig. 3, Supplementary Fig. 1). Discussion Nutrition is vital to the developmental processes of
humans, and undernutrition in early-stage of develop-
ment may have significant long-term health effects [6–8]. In the current study, we took the Great Chinese Fam-
ine as a model for the investigation of the association of
severe under-nutrition and risk of dyslipidemia during
adulthood. After carefully controlling the confounding
effect of age, results of this study confirmed that exposure
to undernutrition in early life (being exposed to the Great
Famine under the age of 3) increases the prevalent risk of
dyslipidemia in adulthood. A strength of this study lies in the design and ana-
lytic approaches. In previous studies, there were mainly
two methods used to control the confounding effect of
the age variable, namely adjustment and combination
[12, 16–19]. The principle of adjustment is to report
the age-adjusted prevalence of dyslipidemia by using a In the subgroup analysis stratified by gender (Fig. 3,
Supplementary Fig. 1, Supplementary Fig. 3), under-
nutrition was associated with an increased risk of BHA Wang et al. Discussion BMC Public Health (2021) 21:2129 Page 6 of 9 Table 1 Distribution of age, gender and four lipid indicators in three analytic approaches
a Adjustment Approach enrolled 12,140 individuals met eligibility criteria
b Restriction Approach enrolled 3201 individuals aged 50–53 years
c Matching Approach enrolled 531 age- and gender-matched pairs (1062 individuals)
d The Chi-square test and Student’s t test were used to compare demographic characteristics and behavioral factors in the undernutrition exposed and non-exposed
Adjustment Approacha
Restriction Approachb
Matching Approachc
Non-
exposed
cohort
(N = 7474)
Undernutrition
exposed cohort
(N = 4666)
P valued Non-
exposed
cohort
(N = 2477)
Undernutrition
exposed cohort
(N = 724)
P valued Non-
exposed
cohort
(N = 531)
Undernutrition
exposed cohort
(N = 531)
P valued
Age
Mean (SD)
48.78 (2.12)
55.86 (2.23)
< 0.001
50.94 (0.92)
52.16 (0.95)
< 0.001
51.85 (0.94)
51.85 (0.94)
–
Gender
Male
3422 (45.79)
2213 (47.43)
0.077
1149 (46.39)
320 (44.20)
0.299
241 (45.39)
241 (45.39)
–
Female
4052 (54.21)
2453 (52.57)
1328 (53.61)
404 (55.80)
290 (54.61)
290 (54.61)
TC level (mmol/L)
Mean (SD)
4.69 (0.88)
4.86 (0.91)
< 0.001
4.68 (0.88)
4.91 (0.91)
< 0.001
4.61 (0.85)
4.92 (0.93)
< 0.001
TC categories
Ideal
5545 (74.19)
3103 (66.50)
< 0.001
1842 (73.64)
475 (65.61)
< 0.001
410 (77.21)
347 (65.35)
< 0.001
Borderline
High
1533 (20.51)
1200 (25.72)
518 (20.91)
190 (26.24)
94 (17.70)
139 (26.18)
High
396 (5.30)
363 (7.78)
135 (5.45)
59 (8.15)
27 (5.08)
45 (8.47)
TG level (mmol/L)
Mean (SD)
1.62 (1.50)
1.57 (1.16)
0.099
1.56 (1.20)
1.67 (1.42)
0.039
1.50 (0.85)
1.72 (1.56)
0.004
TG categories
Ideal
5171 (69.16)
3218 (68.97)
0.309
1718 (69.36)
481 (66.44)
0.307
365 (68.74)
346 (65.16)
0.017
Borderline
High
1168 (15.63)
771 (16.52)
410 (16.55)
128 (17.68)
106 (19.96)
93 (17.51)
High
1135 (15.19)
677 (14.51)
349 (14.09)
115 (15.88)
60 (11.30)
92 (17.33)
LDL-C level (mmol/L)
Mean (SD)
2.45 (0.62)
2.54 (0.66)
< 0.001
2.48 (0.59)
2.53 (0.71)
0.107
2.49 (0.60)
2.52 (0.74)
0.402
LDL-C categories
Ideal
6943 (92.90)
4215 (90.33)
< 0.001
2298 (92.77)
646 (89.23)
0.001
492 (92.66)
469 (88.32)
0.032
Borderline
High
444 (5.94)
362 (7.76)
153 (6.18)
59 (8.15)
32 (6.03)
45 (8.47)
High
87 (1.16)
89 (1.91)
26 (1.05)
19 (2.62)
7 (1.32)
17 (3.20)
HDL-C level (mmol/L)
Mean (SD)
1.33 (0.36)
1.38 (0.38)
< 0.001
1.25 (0.32)
1.50 (0.35)
< 0.001
1.24 (0.26)
1.52 (0.35)
< 0.001
HDL-C categories
Normal
6694 (89.56)
4266 (91.43)
0.001
2149 (86.76)
697 (96.27)
< 0.001
465 (87.57)
511 (96.23)
< 0.001
Low
780 (10.44)
400 (8.57)
328 (13.24)
27 (3.73)
66 (12.43)
20 (3.77) Table 1 Distribution of age, gender and four lipid indicators in three analytic approaches individuals (who have been exposed to famine) were
assigned into the control group and led to potentially
biased estimation. Discussion In this study, the baseline investiga-
tion was of 5 years duration for the ESECC trial, creating
a unique situation where the age range was lengthened
(50–60 years in the exposed cohort and 43–53 years in
the non-exposed cohort) and overlapped at 50–53 years
in the two birth cohorts. This age overlap helps
strengthen the power of age adjustment in multivariable multivariable model. However, adjustment was usually
not been strong enough, given the fact that there was an
“age gap” in the conventional birth cohorts under a cross-
sectional design. As such, residual confounding still had
the potential to bias the magnitude or even the direc-
tion of the observed association. The second method
employed an age-appropriate control by combining
post- and pre-famine cohorts together. This method may
result in exposure contamination that pre-famine cohort Wang et al. BMC Public Health (2021) 21:2129 Page 7 of 9 Fig. 3 Association of undernutrition and risk of borderline high and above (BHA) dyslipidemia status stratified by gender*. *Interaction between
early-life undernutrition and gender was tested by adding the interaction term of the undernutrition variable and gender into the model. ORs
were adjusted for age, occupation, BMI, blood pressure, cigarette smoking, alcohol drinking, fried food intake, salty food intake, spicy food intake,
heartburn and regurgitation, and self-reported history of diabetes Fig. 3 Association of undernutrition and risk of borderline high and above (BHA) dyslipidemia status stratified by gender*. *Interaction between
early-life undernutrition and gender was tested by adding the interaction term of the undernutrition variable and gender into the model. ORs
were adjusted for age, occupation, BMI, blood pressure, cigarette smoking, alcohol drinking, fried food intake, salty food intake, spicy food intake,
heartburn and regurgitation, and self-reported history of diabetes survival (e.g. catch-up growth) but may increase the risk
of metabolic disorders especially during a period of ade-
quate or plentiful nutrition in growth. 2) The epigenetic
dysregulation theory proposes that epigenetic change is
one of the molecular mechanisms behind these epidemi-
ological associations of early-life undernutrition and the
risk of metabolic disorders. Exposure to undernutrition
in sensitive stages of development may lead to epigenetic
changes, which in turn may generate the unique birth
phenotype and result in dysregulation in physiological
functions. models under the Adjustment Approach. Discussion Moreover, we
made use of two other analytical approaches (Restriction
and Matching) to reduce the age difference and to make
the exposed and non-exposed cohorts more compara-
ble based on this unique “overlapped age range” in the
ESECC cohort members. Due to these measurements, for
the first time we can efficiently reduce the potential con-
founding effects brought by age. f
In this study, we found that early-life undernutri-
tion increased the risk of having BHA and high levels
of TC, TG, LDL-C, and dyslipidemia during adulthood,
and this confirmed results in several previous studies in
China [10, 16, 17, 20]. Hypotheses have been proposed to
explain this phenomenon including the thrifty phenotype
hypothesis [21–23] and epigenetic dysregulation theory
[24, 25]: 1) The “thrifty phenotype” hypothesis proposes
that fetal and infant undernutrition would set in train
mechanisms of nutritional thrift, which has a differential
impact on the growth of different organs, with selective
protection of brain growth. The adaptive responses to the
nutritional thrift permanently change the structure and
function of the body which could be beneficial for early When stratified by gender, female participants with
severe undernutrition experience had an increased risk of
BHA TG and LDL-C, but this association was not identi-
fied in males. Potential explanations for this gender spe-
cific association pattern in undernutrition and BHA TG
and LDL-C included: 1) males usually have higher mor-
tality rates under the influence of nutritional deficiency,
and as such male survivors tend to be stronger and
healthier and less vulnerable to health problems during
adulthood [26]. 2) Chinese traditional culture has shown
that male offspring may get preferential attention and Wang et al. BMC Public Health (2021) 21:2129 Page 8 of 9 LDL-C, and dyslipidemia, and decreased the risk of hav-
ing reduced HDL-C in adulthood. The effect of under-
nutrition on TG and LDL-C abnormalities was evident
among females but not observed in males. These results
emphasize the importance of nutrition conditionals in
early-stage of life to the long-term health consequences. suffer less severe food shortages as compared with female
offspring [27]. For TC, although the P value for interac-
tion was < 0.05 in the Adjustment Approach, the absolute
difference in estimated ORs between females and males
was small (1.58 vs. 1.60) with little biological meaning;
and neither of the P values of interaction was significant
in Restriction and Matching Approaches. Abbreviations
BHA B
d l
h Abbreviations
BHA: Borderline high and above; BMI: Body mass index; CVD: Cardiovascular
disease; HDL-C: High-density lipoprotein cholesterol; LDL-C: Low-density
lipoprotein cholesterol; TC: Total cholesterol; TG: Triglycerides. Heterogeneity of the association pattern was detected
in HDL-C and the other three lipid indicators. That is,
undernutrition exposure in early life decreased the risk
of having reduced HDL-C but increased the risk of high
TC, TG, and LDL-C during adulthood. This association
of undernutrition and HDL-C has rarely been reported
in previous studies. To date, only one study suggested
that women with famine experience in adolescence had
a significantly decreased prevalence of low HDL-C as
compared with non-exposed controls [28]. Previously,
we reported prevalence and trends with age were notably
different between HDL-C and three other lipid indica-
tors in the ESECC population [4]. This revealed HDL-C
may have a unique biologic role in the process of lipid
metabolism. Conclusions The datasets used and/or analysed during the current study are available from
the corresponding author on reasonable request. In summary, we carefully evaluated the association of
undernutrition in early life and the risk of dyslipidemia,
based on the Great Chinese Famine of 1959–61. Rigor-
ous study design and analytic approaches were applied to
control the confounding effect of age. Results from this
study demonstrated that undernutrition exposure in early
life increased the risk of having high levels of TC, TG, Acknowledgements We would like to thank the Government of Hua County, Health and Family
Planning Commission of Hua County, Henan Province, and all the participants
of ESECC trial. We also would like to thank Dr. Michael A. McNutt for editing
and correction of this manuscript. Funding This work was supported by Charity Project of National Ministry of Health
[grant number 201202014], Natural Science Foundation of China [grant
number 82073626, 81773501], the national key R&D program of China [grant
number 2016YFC0901404], the National Science & Technology Fundamental
Resources Investigation Program of China [grant number 2019FY101102],
the Beijing-Tianjin-Hebei basic research cooperation project [grant number
J200016], the Digestive Medical Coordinated Development Center of Beijing
Hospitals Authority (XXZ0204), Beijing Natural Science Foundation [grant
number 7182033], Science Foundation of Peking University Cancer Hospital
[grant number 2020–7]. Authors’ contributions Yang Ke and Zhonghu He designed research; Zhonghu He, Mengfei Liu,
Chuanhai Guo, Fenglei Li, Zhen Liu, Yaqi Pan, Fangfang Liu, Ying Liu, Huanyu
Bao, Zhe Hu, Hong Cai conducted research; Minmin Wang, Mengfei Liu,
Zhonghu He analyzed data or performed statistical analysis; Minmin Wang,
Mengfei Liu, Zhonghu He and Yang Ke wrote paper; Yang Ke and Zhonghu He
had primary responsibility for final content. All authors read and approved the
final manuscript. The study also has limitations. First, this is a single-
center study in Henan Province. Although this is an agri-
cultural-dominant area that suffered severe food shortage
in 1959–61, results of the current study still require fur-
ther verification in other populations. Second, the non-
exposed cohort defined in this study may not be ideally
clean even with a one-year washout period, as recovery
from famine is usually slow-paced. Third, unmeasured
confounding might still exist although several lifestyle
factors were collected and accounted for in this study. The online version contains supplementary material available at https://doi.
org/10.1186/s12889-021-12211-8. Additional file 1: Supplement Table 1. Definitions and coding forms
of risk factors of dyslipidemia investigated in ESECC trial from rural
Hua County, China. Supplement Table 2. Selected demographic and
behavioral characteristics in three analytical approaches. Supplementary
Figure 1. Estimates of association of undernutrition and risk of low HDL-C
in pooled analysis and subgroup analysis*. Supplementary Figure 2. Association of undernutrition and dyslipidemia stratified by BMI groups
in three analytic approaches*. Supplementary Figure 3. Association of
undernutrition and high status of dyslipidemia stratified by gender in
three analytic approaches*. Findings from this study have practical implications. First, middle-aged individuals who have been exposed
to severe undernutrition in early life are at increased
risk of having dyslipidemia, and priority should be given
to these individuals in dyslipidemia screening projects. Second, more attention should be paid to the nutritional
conditions of vulnerable individuals (e.g. infants and
young children) in poverty areas to ensure better popula-
tion-level primary prevention and management of CVD
in their future adulthood. Discussion Thus, gender
difference regarding early-life undernutrition and BHA
TC needs to be further investigated. Supplementary Information The online version contains supplementary material available at https://doi.
org/10.1186/s12889-021-12211-8. References Prevalence, awareness,
treatment and control of dyslipidemia among adults in northwestern
China: the cardiovascular risk survey. Lipids Health Dis. 2014;13:4. 26. Mu R, Zhang X. Gender Difference in the Long-Term Impact of Famine;
2008.f 26. Mu R, Zhang X. Gender Difference in the Long-Term Impact of Famine;
2008. 6. Barker DJ. The fetal and infant origins of adult disease. BMJ (Clinical
research ed). 1990;301(6761):1111. 6. Barker DJ. The fetal and infant origins of adult disease. BMJ (Clinical
research ed). 1990;301(6761):1111. 27. Mu R, Zhang X. Why does the great Chinese famine affect the male and
female survivors differently? Mortality selection versus son preference. Econ Hum Biol. 2011;9(1):92–105. 27. Mu R, Zhang X. Why does the great Chinese famine affect the male and
female survivors differently? Mortality selection versus son preference. Econ Hum Biol. 2011;9(1):92–105. 7. Barker DJ. The fetal and infant origins of disease. Eur J Clin Investig. 1995;25(7):457–63. 7. Barker DJ. The fetal and infant origins of disease. Eur J Clin Investig. 1995;25(7):457–63. 8. Gluckman PD, Hanson MA, Bateson P, Beedle AS, Law CM, Bhutta ZA,
et al. Towards a new developmental synthesis: adaptive developmental
plasticity and human disease. Lancet. 2009;373(9675):1654–7. 28. Wang N, Wang X, Li Q, Han B, Chen Y, Zhu C, et al. The famine expo-
sure in early life and metabolic syndrome in adulthood. Clin Nutr. 2017;36(1):253–9. 28. Wang N, Wang X, Li Q, Han B, Chen Y, Zhu C, et al. The famine expo-
sure in early life and metabolic syndrome in adulthood. Clin Nutr. 2017;36(1):253–9. 9. Luo Z, Mu R, Zhang X. Famine and Overweight in China. Appl Econ
Perspect Policy. 2006;28(3):296–304. 10. Xin X, Wang W, Xu H, Li Z, Zhang D. Exposure to Chinese famine in early
life and the risk of dyslipidemia in adulthood. Eur J Nutr. 2019;58(1):391–8 Consent for publication 15. He Z, Liu Z, Liu M, Guo C, Xu R, Li F, et al. Efficacy of endoscopic screening
for esophageal cancer in China (ESECC): design and preliminary results of
a population-based randomised controlled trial. Gut. 2019;68(2):198–206.i Received: 25 March 2021 Accepted: 9 November 2021 Received: 25 March 2021 Accepted: 9 November 2021 Received: 25 March 2021 Accepted: 9 November 2021 18. Zheng X, Wang Y, Ren W, Luo R, Zhang S, Zhang JH, et al. Risk of meta-
bolic syndrome in adults exposed to the great Chinese famine during the
fetal life and early childhood. Eur J Clin Nutr. 2012;66(2):231–6. 19. Zhang W, Luan R. Early-life exposure to the Chinese famine of 1959-61
and risk of Hyperuricemia: results from the China health and retirement
longitudinal study. BMC Public Health. 2020;20(1):15. The authors declare that they have no competing interests. The authors declare that they have no competing interests. 16. Lumey LH, Stein AD, Kahn HS, Romijn JA. Lipid profiles in middle-aged
men and women after famine exposure during gestation: the Dutch
hunger winter families study. Am J Clin Nutr. 2009;89(6):1737–43. References 20. Yao H, Li L. Famine exposure during the fetal period increased the risk of
dyslipidemia in female adults. Lipids. 2019;54(5):301–9. 1. Chen W-W, Gao R-L, Liu L-S, Zhu M-L, Wang W, Wang Y-J, et al. China
cardiovascular diseases report 2015: a summary. J Geriatr Cardiol. 2017;14(1):1–10. 1. Chen W-W, Gao R-L, Liu L-S, Zhu M-L, Wang W, Wang Y-J, et al. China
cardiovascular diseases report 2015: a summary. J Geriatr Cardiol. 2017;14(1):1–10. 21. Hales CN, Barker DJ. The thrifty phenotype hypothesis. Br Med Bull. 2001;60:5–20. 2. Pan L, Yang Z, Wu Y, Yin RX, Liao Y, Wang J, et al. The prevalence, aware-
ness, treatment and control of dyslipidemia among adults in China. Atherosclerosis. 2016;248:2–9. 22. Hales CN, Barker DJ. Type 2 (non-insulin-dependent) diabetes mel-
litus: the thrifty phenotype hypothesis. 1992. Int J Epidemiol. 2013;42(5):1215–22. 3. Huang Y, Gao L, Xie X, Tan SC. Epidemiology of dyslipidemia in Chinese
adults: meta-analysis of prevalence, awareness, treatment, and control. Popul Health Metrics. 2014;12(1):28. 3. Huang Y, Gao L, Xie X, Tan SC. Epidemiology of dyslipidemia in Chinese
adults: meta-analysis of prevalence, awareness, treatment, and control. Popul Health Metrics. 2014;12(1):28. 23. Wells JC. The thrifty phenotype: an adaptation in growth or metabolism? Am J Hum Biol. 2011;23(1):65–75. 24. Tobi EW, Lumey LH, Talens RP, Kremer D, Putter H, Stein AD, et al. DNA
methylation differences after exposure to prenatal famine are common
and timing- and sex-specific. Hum Mol Genet. 2009;18(21):4046–53. 24. Tobi EW, Lumey LH, Talens RP, Kremer D, Putter H, Stein AD, et al. DNA
methylation differences after exposure to prenatal famine are common
and timing- and sex-specific. Hum Mol Genet. 2009;18(21):4046–53. 4. Wang M, Liu M, Li F, Guo C, Liu Z, Pan Y, et al. Gender heterogeneity in
dyslipidemia prevalence, trends with age and associated factors in mid-
dle age rural Chinese. Lipids Health Dis. 2020;19(1):135. 25. Heijmans BT, Tobi EW, Stein AD, Putter H, Blauw GJ, Susser ES, et al. Persis-
tent epigenetic differences associated with prenatal exposure to famine
in humans. Proc Natl Acad Sci U S A. 2008;105(44):17046–9. 25. Heijmans BT, Tobi EW, Stein AD, Putter H, Blauw GJ, Susser ES, et al. Persis-
tent epigenetic differences associated with prenatal exposure to famine
in humans. Proc Natl Acad Sci U S A. 2008;105(44):17046–9. 5. Luo JY, Ma YT, Yu ZX, Yang YN, Xie X, Ma X, et al. Wang et al. BMC Public Health (2021) 21:2129 participants included in the study. All experiments were performed in accord-
ance with relevant guidelines and regulations. 13. Lin JY, Yang DT. Food availability, entitlements and the Chinese famine of
1959–61. Econ J (London). 2000;110(460):136–58. 14. Tian H, Yang W, Hu Y, Liu Z, Chen L, Lei L, et al. Estimating cancer inci-
dence based on claims data from medical insurance systems in two areas
lacking cancer registries in China. EClinicalMedicine. 2020;20:100312. Author details
1 1 Key Laboratory of Carcinogenesis and Translational Research (Ministry of Edu-
cation/Beijing), Laboratory of Genetics, Peking University Cancer Hospital &
Institute, #52 Fucheng Rd, Haidian District, 100142 Beijing, China. 2 Hua County
People’s Hospital, Anyang, Henan Province, China. 17. Wang Z, Li C, Yang Z, Ma J, Zou Z. Fetal and infant exposure to severe
Chinese famine increases the risk of adult dyslipidemia: results from
the China health and retirement longitudinal study. BMC Public Health. 2017;17(1):488. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in pub-
lished maps and institutional affiliations. Springer Nature remains neutral with regard to jurisdictional claims in pub-
lished maps and institutional affiliations. 11. Song S, Wang W, Hu P. Famine, death, and madness: schizophrenia in
early adulthood after prenatal exposure to the Chinese great leap for-
ward famine. Soc Sci Med. 2009;68(7):1315–21. 11. Song S, Wang W, Hu P. Famine, death, and madness: schizophrenia in
early adulthood after prenatal exposure to the Chinese great leap for-
ward famine. Soc Sci Med. 2009;68(7):1315–21. 12. Li C, Lumey LH. Exposure to the Chinese famine of 1959-61 in early life
and long-term health conditions: a systematic review and meta-analysis. Int J Epidemiol. 2017;46(4):1157–70. 12. Li C, Lumey LH. Exposure to the Chinese famine of 1959-61 in early life
and long-term health conditions: a systematic review and meta-analysis. Int J Epidemiol. 2017;46(4):1157–70. •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress. Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress. Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress. Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Ethics approval and consent to participate
R
h
l f
h
d Research protocols for the present study were approved by the Institutional
Review Board of the Peking University School of Oncology, Beijing, China
(approval no. 2011101110). Informed consent was obtained from all individual Page 9 of 9 Wang et al. BMC Public Health (2021) 21:2129 Publisher’s Note Choose BMC and benefit from:
? Choose BMC and benefit from:
|
https://openalex.org/W3134567456
|
https://digital.csic.es/bitstream/10261/239058/1/vaccines-09-00243.pdf
|
English
| null |
Emerging SARS-CoV-2 Variants and Impact in Global Vaccination Programs against SARS-CoV-2/COVID-19
|
Vaccines
| 2,021
|
cc-by
| 9,376
|
Keywords: SARS-CoV-2; COVID-19; variant; spike protein; mutation; lineage; vaccine efficacy;
neutralizing antibodies Citation: Gómez, C.E.;
Perdiguero, B.; Esteban, M. Emerging
SARS-CoV-2 Variants and Impact in
Global Vaccination Programs against
SARS-CoV-2/COVID-19. Vaccines
2021, 9, 243. https://doi.org/
10.3390/vaccines9030243 Carmen Elena Gómez *
, Beatriz Perdiguero and Mariano Esteban * Carmen Elena Gómez * Centro Nacional de Biotecnología, Department of Molecular and Cellular Biology, Consejo Superior de
Investigaciones Científicas (CNB-CSIC), Campus de Cantoblanco, 28049 Madrid, Spain; perdigue@cnb.csic.es
* Correspondence: cegomez@cnb.csic.es (C.E.G.); mesteban@cnb.csic.es (M.E.);
Tel.: +34-915854560 (C.E.G.); +34-915854553 (M.E.) Abstract: The emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants
in different continents is causing a major concern in human global health. These variants have
in common a higher transmissibility, becoming dominant within populations in a short time, and
an accumulation of a high number of mutations in the spike (S) protein, especially within the
amino terminal domain (NTD) and the receptor binding domain (RBD). These mutations have direct
implications on virus infection rates through higher affinity of S RBD for the cellular angiotensin-
converting enzyme-2 (ACE-2) receptor. There are also signs of enhanced virulence, re-infection
frequency, and increased resistance to the action of monoclonal and polyclonal antibodies from
convalescence sera and in vaccinated individuals in regions where the variants spread dominantly. In this review, we describe the different SARS-CoV-2 variants that have thus far been identified in
various parts of the world with mutational changes and biological properties as well as their impact
in medical countermeasures and human health. Review
Emerging SARS-CoV-2 Variants and Impact in Global
Vaccination Programs against SARS-CoV-2/COVID-19 *
, Beatriz Perdiguero and Mariano Esteban * Citation: Gómez, C.E.;
Perdiguero, B.; Esteban, M. Emerging
SARS-CoV-2 Variants and Impact in
Global Vaccination Programs against
SARS-CoV-2/COVID-19. Vaccines
2021, 9, 243. https://doi.org/
10.3390/vaccines9030243 1. Introduction The four SARS-CoV-2 vaccines licensed at present by the regulatory agencies are based on
nucleic acid or non-replicating viral vectored platforms. The two vaccines based on messenger ribonucleic acid (mRNA) have been developed
by Moderna (mRNA-1273) and Pfizer/BioNTech (BNT162b2) pharmaceutical companies
and contain the genetic information for the synthesis of the stabilized pre-fusion form of
the SARS-CoV-2 spike (S) protein encapsulated in a lipid nanoparticle (LNP) vector that
enhances uptake by host immune cells. These vaccines used host cell transcription and
translation machinery to produce the viral S protein, that is afterwards processed and
recognized by specific B and T cells eliciting both humoral and cellular adaptive immune
responses able to confer protection against COVID-19 illness, including severe disease. The
reported efficacy of a two-dose regimen of the mRNA-1273 or the BNT162b2 vaccines is
94.1% [4] or 95% [5], respectively. The two other licensed vaccines have been developed by Oxford University/AstraZeneca
(AZD1222) and Janssen (Ad26.COV2.S) pharmaceutical companies and are based on two
different modified non-replicating adenoviruses. The AstraZeneca candidate is a mono-
valent vaccine composed of a single recombinant, replication-deficient chimpanzee ade-
novirus (ChAdOx1) vector encoding the S glycoprotein of SARS-CoV-2. The S protein
is expressed in the trimeric pre-fusion conformation. Following administration, the S
glycoprotein of SARS-CoV-2 is expressed locally, stimulating neutralizing antibody and
cellular immune responses, which may contribute to protection against COVID-19. The
AZD1222 vaccine has an efficacy of 63.09% against symptomatic SARS-CoV-2 infection. Vaccine efficacy was 62.6% in participants receiving two recommended doses with any dose
interval (ranging from 3 to 23 weeks) [6]. The Janssen vaccine is based on the adenovirus
serotype 26 (Ad26) which expresses the stabilized pre-fusion SARS-CoV-2 S protein. As
opposed to the ubiquitous Ad5 serotype, very few people have been exposed to the rare
Ad26 serotype; therefore, pre-existing immunity against the vector reducing this candi-
date’s immunogenicity is not expected to be a major concern. A phase 3 randomized and
placebo-controlled trial of the single-dose Ad26.COV2.S in approximately 40,000 partici-
pants is currently ongoing. The primary analysis of 39,321 participants using a data cut-off
date of 22 January 2021 demonstrated a vaccine efficacy of 66.9%. The fifth vaccine waiting for approval has been developed by Novavax Company
(NVX-CoV2373). It is a protein subunit vaccine constructed from the full-length, stabi-
lized, pre-fusion SARS-CoV-2 S glycoprotein, produced in the established Sf9 insect cell
expression system and adjuvanted by saponin-based Matrix M1 [7]. 1. Introduction Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the causal agent of
the worldwide coronavirus disease 2019 (COVID-19) pandemic, which is causing major
health as well as social and economic burden with unprecedented consequences. Records
show 116 million infection cases worldwide with a global death of 2.6 million people early
March 2021. At the beginning of the SARS-CoV-2 pandemic, there were only modest levels
of genetic evolution mainly because of two factors: (i) the global absence of immunity
against this new pathogen; and (ii) the low mutation rates of the coronaviruses which
encode an enzyme with proofreading function that increases the fidelity of the replication
process [1]. In early March 2020, a new variant was detected with a single D614G mutation
in the spike (S) glycoprotein of SARS-CoV-2 that spread to global dominance over the next
month due to increased transmissibility and virus replication [2,3]. Since December 2020,
novel SARS-CoV-2 variants that accumulate a high number of mutations, mainly in the
S protein, have been detected in some geographical regions. These variants have been
considered by the World Health Organization (WHO) as variants of concern (VOC) because
of their potential risk to human health. The changes observed in the viral mutation rate
during the course of the pandemic indicate a tendency towards a rapid antigenic variation
and, hence, it is important to strengthen surveillance systems to control the emergence and
the dissemination of new variants, looking over their impact on disease transmission and
severity and on the efficacy of vaccines and treatments used globally. Academic Editor: Steven B. Bradfute Received: 22 February 2021
Accepted: 9 March 2021
Published: 11 March 2021 Received: 22 February 2021
Accepted: 9 March 2021
Published: 11 March 2021 Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
published maps and institutional affil-
iations. Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article
distributed
under
the
terms
and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/). The COVID-19 pandemic has required rapid action and development of vaccines in
an unprecedented timeframe. According to WHO (https://www.who.int/publications/
m/item/draft-landscape-of-covid-19-candidate-vaccines (accessed on 9 March 2021)), https://www.mdpi.com/journal/vaccines Vaccines 2021, 9, 243. https://doi.org/10.3390/vaccines9030243 Vaccines 2021, 9, 243 2 of 13 76 vaccine candidates based on several different platforms are being currently evaluated in
human clinical trials, while 182 candidates are under investigation in preclinical models. 1. Introduction In January, Novavax
announced that, in the British trial, the vaccine had an efficacy rate of 89%. Since all the
vaccines that have been administered worldwide are focused on the spike protein, which
accumulates high rate of mutations during viral evolution, as evidenced in the genome
sequences from the new emerging SARS-CoV-2 variants, it is imperative to evaluate the
impact of those mutations on the actual efficacy of COVID-19 vaccines. 2.1. B.1.1.7 (VOC 202012/01 or 20B/501Y.V1) Variant 2.1. B.1.1.7 (VOC 202012/01 or 20B/501Y.V1) Variant B.1.1.7 variant, also known as VOC 202012/01 or 20B/501Y.V1, was unveiled on
14 December 2020 by the United Kingdom (UK) authorities who declared an increase in the
incidence of SARS-CoV-2 infections in eastern and south-eastern England and the London
metropolitan area associated with the emergence of a new SARS-CoV-2 variant. The first
clinical sample in which it could be identified dates back to September 2020. Since then,
it has largely replaced the circulating viruses, becoming the predominant variant in the
UK. This variant is characterized by greater transmission, which has contributed to an
increase in incidence, hospitalizations, and pressure on the health system since the second
half of December 2020. Epidemiological studies and mathematical modeling suggest that it
spreads 56% faster than other lineages and results in higher nasopharyngeal viral loads
than the wild-type strain [8]. By January 2021, the UK reported the highest daily mortality
from COVID-19 since the onset of the pandemic [9]. Retrospective observational studies
estimate a 35% (12–64%) increased risk of death associated with B.1.1.7 variant, indicating
that it is not only more transmissible than pre-existing linages but can also cause a more
serious disease [10]. However, there was no evidence of more severe disease in children
and young people [11]. y
g p
p
Compared to ancestral viruses containing the D614G mutation, the B.1.1.7 variant has
accumulated 23 mutations, and it is not phylogenetically related to the viruses circulating
in the UK when it was detected. Of these mutations, 14 are non-synonymous: [[T1001I,
A1708D, and I2230T] in open reading frame (ORF)1ab; [N501Y, A570D, P681H, T716I,
S982A, and D1118H] in the spike (S) protein; [Q27stop, R52I, and Y73C] in ORF8; and [D3L
and S235F] in the nucleocapsid (N) protein]; 6 are synonymous: [[C913T, C5986T, C14676T,
C15279T, and T16176C] in ORF1ab; and [T26801C] in M (membrane) gene]; and 3 are
deletions: [[SGF 3675-3677del] in ORF1ab; and [H69-V70del and Y144del] in S protein]. It
is unclear how this variant achieves prominence, although the unusual genetic divergence
of the B.1.1.7 lineage may have resulted, at least in part, from the evolution of the virus
in an individual with chronic infection [12]. Excluding synonymous mutations, 47% of
reported changes in B.1.1.7 variant occur in the gene encoding for the spike protein that
contains the receptor binding domain (RBD). 2. Emerging SARS-CoV-2 Variants That Raise Global Concern Natural selection usually determines the fate of a newly arising mutation. However,
other potential mechanisms such as chance events, host shifts, persistent infection in
immunocompromised host, or mutations affecting the proofreading function could also
drive viral evolution. Those mutations that confer a competitive advantage with respect
to viral replication, transmission, or escape from immunity will increase in frequency,
becoming the dominant variant. Currently, an exhaustive surveillance monitoring has
being performed on three SARS-CoV-2 variants: B.1.1.7 (VOC 202012/01 or 20B/501Y.V1),
B.1.351 (20H/501Y.V2), and P.1 (B.1.1.28.1). Vaccines 2021, 9, 243 3 of 13 2.1. B.1.1.7 (VOC 202012/01 or 20B/501Y.V1) Variant SARS-CoV-2 S protein is the main target of
neutralizing antibodies and, hence, it has been used as vaccine antigen in most of the SARS-
CoV-2 candidates under development and in the licensed vaccines that are being globally
administered. The high frequency of mutations in this protein has caused global concern
because these mutations, either individually or as a whole, can induce structural changes
that might: (i) alter the interaction with the human angiotensin-converting enzyme-2
(hACE2) receptor, modifying the infection rate or even the interaction of the virus with
the ACE2 receptor from other species supporting host shifts; (ii) modify the efficacy of
both neutralizing antibodies and specific T cells elicited either during natural infection or
through vaccination; or (iii) alter the sensitivity to neutralization by monoclonal antibodies
or sera from convalescent patients, compromising the efficacy of treatments. The three
mutations of B.1.1.7 with the greatest potential to affect the biological behavior of the virus
are: H69-V70del, N501Y, and P681H. H69/V70 deletion is one of the recurrent mutations
observed in the amino terminal domain (NTD) of S protein and emerged independently
in at least six lineages of the SARS-CoV-2 virus prevalent in Europe. It is present in over
6000 sequences worldwide and often co-occurs with the RBD amino acid replacements
N501Y, N439K, and Y453F [13,14]. H69/V70 deletion itself favored a two-fold increase in
S protein-mediated infectivity in vitro using pseudotyped lentivirus, indicating that this
effect on virus fitness seems to be independent of the RBD changes [13]. Protein structure
modeling shows that H69/V70 deletion could be a “permissive” mutation that modifies
the immunodominant epitopes located at variable loops within NTD, conferring resistance
to neutralization by sera from both convalescent patients and vaccinated individuals [14]. The N501Y mutation is of major concern because it involves one of the six key amino
acid residues determining a tight interaction of the SARS-CoV-2 RBD with ACE2 receptor. Modeling analysis showed that the N501Y mutation would allow a potential aromatic ring— Vaccines 2021, 9, 243 4 of 13 ring interaction and an additional hydrogen bond between RBD and ACE2 [15] and, hence,
an increase in the binding affinity of SARS-CoV-2 S protein for hACE2 receptor [16]. A
retrospective study has recently reported a three-fold higher inferred viral loads in a group
of UK individuals infected with the viral variant carrying the N501Y mutation, evidencing
the high efficiency of infection and transmission associated with B.1.1.7 variant [17]. 2.1. B.1.1.7 (VOC 202012/01 or 20B/501Y.V1) Variant The
N501Y mutation has also been associated with increased infectivity and virulence in mouse
and ferret models [18]. The function of the P681H mutation is not yet clear, but it is located
immediately adjacent to the amino acids 682–685, the furin cleavage site (FCS) identified at
the S1/S2 in the spike protein. SARS-CoV-2 FCS is not found in closely related coronavirus
and has been shown to promote the entry of the virus into respiratory epithelial cells [19]. Similarly, it has been shown that the insertion generated by FCS into SARS-CoV-2 S protein
enhances transmembrane serine protease (TMPRSS)-induced cleavage ability and viral
infectivity [20]. Both N501Y and P681H mutations have been reported independently, but
thus far they have not appeared in combination. The mutation Q27stop in ORF8 observed in the B.1.1.7 variant truncates the ORF8
protein or makes it inactive, allowing the accumulation of additional mutations in other
regions. At the beginning of the pandemic, multiple viruses with deletions that led to the
loss of ORF8 expression were isolated worldwide, including a large group in Singapore. These deletions were associated with a milder clinical infection and lower post-infection
inflammation; however, this group disappeared at the end of March after Singapore
successfully implemented control measures. In subsequent reports, it was found that the
deletion of ORF8 has only a very modest effect on virus replication in human primary
respiratory cells compared to viruses without the deletion [21]. The rapid transmission of B.1.1.7 variant in and out of the UK suggests that this variant
could become the dominant lineage responsible for the upcoming infections in Europe. As
of 16 February 2021, 71.413 sequences of B.1.1.7 lineage have been detected in 64 countries,
while 82 have reported cases related with this variant [22]. This emphasizes the importance
of a global approach to surveillance, tracking, and vaccine deployment. How does B.1.1.7 dissemination impact the efficacy of vaccines and treatments that
are being administered globally? To date, low or no significant impact of the vaccines
efficacy against B.1.1.7 variant has been reported. Xiu et al. show small effects of some
of the mutations present in the B.1.1.7 variant on neutralization by sera from vaccinated
individuals elicited after two BNT162b2 doses (Pfizer). Nevertheless, the modified virus
used in the study lacked the full set of spike mutations described in B.1.1.7 variant [23]. Similarly, Collier et al. 2.2. B.1.351 (20H/501Y.V2) Variant 2.2. B.1.351 (20H/501Y.V2) Variant The second variant that has raised global concern is the B.1.351 variant, also known
as 20H/501Y.V2, identified on 18 December 2020 by the authorities from Republic of
South Africa. The first clinical sample in which this variant could be detected dates back
to 8 October 2020, and one month later, it replaced the circulating viruses in the region,
becoming the dominant variant. This behavior suggests higher transmission rates, although
no evidence of greater virulence or disease severity has been reported to date. As of
16 February 2021, 1383 sequences of B.1.351 lineage have been detected in 35 countries,
while 40 have reported cases related with this variant [22]. p
Compared to the Wuhan reference strain, the B.1.351 variant has 12 non-synonymous
mutations and one deletion. Approximately 77% of these mutations are located in the spike
protein [L18F, D80A, D215G, LAL 242–244 del, R246I, K417N, E484K, N501Y, D614G, and
A701V] while the remaining ones are located in ORF1a [K1655N], envelope (E) [P71L], and
N [T205I] viral proteins. Similar to B.1.1.7 variant, it could have emerged through intra-host
evolution in one or more individuals with prolonged viral replication. However, the high
number of mutations accumulated within two of the most immunodominant regions of
S protein, such as the NTD and the RBD domains, suggests that it could also be originated
as an escape variant to neutralization [28]. Therefore, the concern about the effect that the
B.1.351 mutations might have on vaccine efficacy and treatments is even greater than with
the B.1.1.7 variant. B.1.351 and B.1.1.7 variants share the N501Y mutation, located in the RBD domain of
the spike protein. As described above, this mutation confers an increased binding affinity
of S RBD for the ACE2 receptor, raising the viral transmission rate. However, in addition
to the N501Y mutation, this variant accumulates two additional mutations in the same
RBD domain (K417N and E484K) that could play a pivotal role in both the interaction
with the receptor and the immune evasion. The E484K mutation is present in <0.02% of
sequences outside South Africa. There is evidence that this mutation can modestly improve
the binding affinity of the virus to the receptor. 2.1. B.1.1.7 (VOC 202012/01 or 20B/501Y.V1) Variant did not observe a significant reduction in the ability of sera from
vaccinated individuals (Pfizer) to inhibit parental or mutant pseudoviruses including only
three (H69/V70del, N501Y, and A570D) S mutations; however, a reduction in the neutraliza-
tion titers was evident using pseudoviruses with the complete set of mutations described
for B.1.1.7 variant [24]. Slightly reduced but overall largely preserved neutralizing titers
against the B.1.1.7 lineage pseudovirus were also detected in sera from people receiving
the Pfizer vaccine [25]. Correspondingly, modest reductions in the neutralizing activity
of both plasma from convalescent patients (2.7–3.8-fold) and sera from individuals that
received Moderna or Pfizer vaccines (1.8–2-fold) were described by Wang et al. [26]. This
group also evaluated a panel of 30 monoclonal antibodies (mAbs) directed against the
NTD and the RBD domains of S protein and observed that the B.1.1.7 variant is refractory
to neutralization by most of the mAbs that recognized NTD and is relatively resistant
to several RBD-directed mAbs, including two that have been approved for emergency
treatment [26]. Finally, Wu et al. did not detect a significant impact in the neutralizing
capacity of sera from human subjects or non-human primates (NHPs) who received the
mRNA-1273 (Moderna) vaccine against the B.1.1.7 variant [27]. Overall, although these
in vitro studies have their limitations either by methodology, by sample size, or by only
considering the humoral arm of the immune response, what they indicate is that the efficacy
of the vaccines that have being administered is similar or moderately lower against the
B.1.1.7 variant. Vaccines 2021, 9, 243 5 of 13 2.2. B.1.351 (20H/501Y.V2) Variant show that B.1.351 variant is notably more resistant to
neutralization by polyclonal antibodies derived from individuals vaccinated with Pfizer
(6.5-fold) or Moderna (8.6-fold) vaccines [26]. Furthermore, Wu et al. reported a significant
decrease in the neutralization of B.1.351 variant by sera from either humans or NHPs
who were vaccinated with mRNA-1273 (Moderna); however, the authors highlight that,
despite the observed decreases, the geometric mean of the neutralization titers in sera from
human vaccinated individuals against B.1.351 variant remained at ~1/300, a value that
they still consider acceptable for protection [27]. Finally, a new study assaying the antibody
responses and memory B cells in volunteers who received Moderna (mRNA-1273) or Pfizer
(BNT162b2) vaccines reported a reduced activity against the SARS-CoV-2 variants that
contain the E484K or the N501Y mutations or the K417N:E484K:N501Y combination [31]. Overall, these data reflect a more pronounced decrease in the efficacy of antibody-based
vaccines and therapies against this variant. p
g
The most worrying statistics are derived from the interim efficacy results from two
randomized placebo-controlled clinical trials reported in press release by Novavax and
Janssen companies in South Africa, the region where B.1.351 variant prevails. Biotechnology
company Novavax reports that its COVID-19 vaccine NVX-CoV2373, which includes
the S protein from the SARS-CoV-2 Wuhan reference strain, has shown 85.6% efficacy
against the B.1.1.7 variant (95.6% against the original strain) in the phase 3 clinical trial
involving 15,000 participants between 18 and 84 years old in the UK. However, in the
phase 2b study developed in South Africa, involving more than 4400 individuals, the
efficacy in the overall population was 49.4% against B.1.351 variant. This value increases
up to 60% efficacy in the prevention of mild, moderate, and severe COVID-19 disease if
the human immunodeficiency virus (HIV) positive group is eliminated from the overall
count [34]. These interim data evidence a significant decrease in the efficacy of a vaccine
influenced by the dominance of a viral variant such as B.1.351. Additionally, Janssen’s
coronavirus vaccine has shown 72% efficacy in a single dose in the ENSEMBLE trial in
the United States to prevent moderate to severe COVID-19 at 28 days after vaccination. However, these values were reduced to 66% in Latin America and 57% in South Africa. Despite the reduced efficacy, the rAd26 vaccine was 85% effective overall in preventing
severe COVID-19, and protection was similar in all regions [35]. 2.2. B.1.351 (20H/501Y.V2) Variant Similarly, although K417 residue is a unique
SARS-CoV-2 S RBD residue that interacts with ACE2 contributing to an enhanced affinity
of the virus for the receptor, a mutational scanning study suggests that the amino acid
change of K by N minimally affects this binding [16]. Moreover, a molecular dynamics
simulation study reveals that both E484K and N501Y mutations increase affinity of S RBD
for hACE2 and E484K in particular switches the charge on the flexible loop region of
S RBD, which leads to the formation of novel favorable contacts. Moreover, the combination
of E484K, K417N, and N501Y mutations results in the highest degree of conformational
alterations of S RBD when bound to hACE2, compared to either E484K or N501Y alone,
allowing the virus a more effective escape to neutralization [29]. It should be noted that
the rest of the mutations that this variant holds in the spike protein are located in the
NTD region (L18F, D80A, D215G, LAL 242-244 del, and R246I), especially within or near
flexible variable loops that accept sequence changes without modifying the structure of the
functional domains of S protein. NTD is also a preferential target of antibodies isolated
from convalescent patients or vaccinated individuals. Preliminary studies highlight that a
combination of RBD and NTD mutations in the B.1.351 spike protein significantly affects
the neutralization of this variant by both mAbs targeting these regions and immune sera
derived from convalescent or vaccinated patients [26,27,30–33]. Studies evaluating panels
of potent mAbs that have been identified against the spike protein indicate that B.1.351
variant is refractory to be neutralized by antibodies that recognize S NTD while the S RBD
mutations reduce or abolish the neutralization capacity of nearly 80% of the mAbs that
recognize this region [26,30,31]. In line with these findings, a significant reduction in
the neutralization capacity of polyclonal antibodies derived from convalescent patients
against B.1.351 variant has been reported, being the sera from hospitalized patients with a
more severe disease those who displayed higher neutralization efficacy [26,31–33]. These
data point to a possible decrease in the efficacy of the treatments based on monoclonal or Vaccines 2021, 9, 243 6 of 13 polyclonal antibodies as well as an increase in the rate of reinfection in regions where this
variant spreads dominantly. p
y
In terms of vaccine efficacy against B.1.351 variant, the results are more worrying than
those shown for B.1.1.7. Wang et al. 2.2. B.1.351 (20H/501Y.V2) Variant Finally, a clinical trial
evaluating two-dose regimen of AZD1222 (AstraZeneca/Oxford vaccine) in South Africa
did not show protection against mild to moderate COVID-19 due to B.1.351 variant [36]. Altogether, these results confirm that it is imperative to minimize the circulation of the
virus, prevent infections, and reduce the opportunities for the SARS-CoV-2 to evolve,
resulting in mutations that could reduce the efficacy of existing vaccines. 2.3. P.1 (B.1.1.28.1) Variant The third variant of SARS-CoV-2 that raises concerns is P.1 variant, also known as
B.1.1.28.1. It was detected by Japan’s National Institute of Infectious Diseases on 6 January
2021 and was isolated from four travelers who arrived in Tokyo from Amazonas, Brazil,
on 2 January 2021 at airport control. P.1 variant was later identified in Brazil, where
it has become the dominant circulating virus [37]. The rapid increase in the number
of hospital admissions by COVID-19 in January 2021 (six-fold higher than the number
reported in December) [38] is unexpected and worrying considering that this city reached
76% seroprevalence during the summer wave [39]. P.1 variant belongs to the B.1.1.28 lineage and contains 17 non-synonymous muta-
tions: [L18F, T20N, P26S, D138Y, R190S, K417T, E484K, N501Y, D614G, H655Y, T1027I,
and V1176F] in S protein, [S1188L, K1795Q, and E5665D] in ORF1ab, [E92K] in ORF8,
and [P80K] in N protein; 1 deletion: [SGF 3675-3677del] in ORF1ab; and 4 synonymous
mutations. P.1 is the SARS-CoV-2 variant that accumulates the highest number of mutations Vaccines 2021, 9, 243 7 of 13 in the spike protein (12 mutations). The mutation N501Y is present in the three variants,
while L18F, K417T, E484K, and D614G mutations are shared with the B1.351 variant. As
described above, this set of spike mutations has important implications for transmission,
reinfection rates, and evasion of antibody-mediated immunity. In fact, one clinical case of
reinfection has been reported in this region [40]. As of 16 February 2021, 150 sequences of
P.1 lineage have been detected in 14 countries, while 18 have reported cases related with
this variant [22]. [
]
One of the most worrying mutations in terms of immune evasion is the E484K, which
is shared by the P.1 and the B.1.351 variants. Recently, the effect of this mutation has been
evaluated in the neutralization ability of sera from convalescent or vaccinated patients
considering their SARS-CoV-2 spike immunoglobulin G (IgG) antibody titer. The efficacy
of serum neutralization against the virus carrying the E484K mutation was reduced in both
vaccination samples and convalescent sera. However, sera with high anti-S IgG titers were
still able to neutralize the virus with the mutation, indicating that it is important to induce
the highest possible levels of specific antibodies through vaccination to improve protection
against emerging variants of SARS-CoV-2 [41]. 2.3. P.1 (B.1.1.28.1) Variant Although this study does not use a virus
containing the entire set of mutations that are present in combination with E484K in the
spike protein of the different variants in order to provide a more realistic estimate of this
effect, it makes clear that it is necessary to optimize the vaccination schedules to increase
the possibility of counteracting the expansion of the new variants. Findings by Planas
et al. using authentic clinical viral isolates to assess inherent viral fitness and potential
impact of additional mutations outside of the spike on sensitivity to neutralizing antibod-
ies also demonstrated that low global antibody levels or declining antibody responses
are associated with a loss of cross-reactivity against novel emerging variants [42]. These
findings indicate that it is necessary to follow rigorously the vaccination regimen estab-
lished and approved by the regulatory authorities for the different licensed vaccines. In
addition, it is important to study in the clinical settings how the introduction of combined
or “prime/boost” heterologous vaccination protocols could optimize the strength of both
humoral and cellular immune responses [43]. There is still a long way to go into the study of this and other variants circulating in
Brazil; however, considering the high number of mutations that P.1 accumulates in the
spike protein, it is probable that it behaves as resistant or even more resistant than B.1.351
variant to neutralization by monoclonal antibodies and vaccinee sera. Scientists in Brazil reported on 14 January 2021 that the coronavirus vaccine of the
Chinese pharmaceutical company Sinovac (CoronaVac) based on inactivated virus was
50.38% effective when tested in 12,508 volunteers, all of them health professionals in direct
contact with the coronavirus [44]. It remains to be determined whether the efficacy of this
vaccine (which is close to the approval threshold for emergence use) is maintained against
the new P.1 variant that is expanding dramatically in the country. A summary of the key features of the emergent SARS-CoV-2 variants is depicted
in Table 1. aracteristics of the emergent severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants. Data
uary 16 2021 (https://outbreak.info (accessed on 9 March 2021)). Table 1. Main characteristics of the emergent severe acute respiratory syndrome coronavirus-2 (SARS-CoV-
updated on February 16 2021 (https://outbreak.info (accessed on 9 March 2021)). Table 1. Main characteristics of the emergent severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants. Data
updated on February 16 2021 (https://outbreak.info (accessed on 9 March 2021)). 3. Other Variants of Interest The United States is the country with the highest incidence rates of COVID-19, and
different states have reported the prevalence of all the emergent variants of concern. How-
ever, the expansion of a novel variant descended from cluster 20C and designated CAL.20C
(20C/S:452R or B.1.429) has been reported in Southern California [45]. CAL.20C variant
was first observed in July 2020 in one of 1247 samples from Los Angeles County and was
not detected in Southern California again until October. Since then, the prevalence of this
variant has increased, and, in January 2021, it accounted for 35% and 44% (37 of 85) of
all samples collected in California state and Southern California, respectively. However,
relatively few samples have been sequenced, and sequencing is not performed uniformly
throughout the state, making it difficult to establish a more accurate estimate of the expan-
sion of this variant [46]. CAL.20C variant is defined by five mutations (ORF1a: I4205V;
ORF1b: D1183Y; S: S13I, W152C, and L452R). In particular, the L452R mutation in the spike
protein has been found to be resistant to certain therapeutic monoclonal antibodies [47]. As clinical outcomes have yet to be established, the functional effect of CAL.20C variant
regarding infectivity and disease severity remains uncertain. Another new coronavirus variant, named A.23.1, has been detected in Uganda and
has quickly become the most common coronavirus in Uganda’s capital city, Kampala. The
set of the spike mutations in A.23.1 includes R102I, F157L, V367F, Q613H, and P681R. Additional substitutions in non-spike regions include non-structural protein (nsp) 3: E95K;
nsp6: M86I and L98F; ORF8: L84S and E92K, and N: S202N and Q418H. As of 16 February
2021, 274 sequences of A.23.1 lineage have been detected in 17 countries [48]. In addition,
an emerging lineage (now designated as B.1.526) of viral isolates in the New York region
that shares mutations with previously reported variants has been recently detected by
West et al. using a tool to query the spike mutational landscape. The most common sets of
spike mutations in B.1.526 are L5F, T95I, D253G, and E484K or S477N, D614G, and A701V. This lineage appeared in late November 2020, and it accounts for ~5% of coronavirus
genomes sequenced and was deposited in Global Initiative on Sharing Avian Influenza
Data (GISAID) during late January 2021 [49]. 2.3. P.1 (B.1.1.28.1) Variant Variants
B.1.1.7
B.1.351
P.1
1st detection
September 2020
8 October 2020
2 January 2021
Detection site
United Kingdom
South Africa
Japan/Brazil
Mutations in S protein
7 mutations: N501Y, A570D,
D614G, P681H, T716I,
S982A, D1118H
2 deletions:
H69-V70del, Y144del
9 mutations: L18F, D80A,
D215G, R246I, K417N, E484K,
N501Y, D614G, A701V
1 deletion: LAL 242-244 del
12 mutations: L18F, T20N,
P26S, D138Y, R190S, K417T,
E484K, N501Y, D614G,
H655Y, T1027I, V1176F
Countries reported cases
82
40
19
Countries with sequences
64
35
14 Vaccines 2021, 9, 243 8 of 13 Variants
B.1.1.7
B.1.351
P.1
Potential risk
-
Higher transmission
-
Higher disease severity
-
Modest reduction in the
neutralization efficacy of
sera from convalescent
patients or vaccinees
-
Higher transmission
-
Higher reinfection rates
-
Significant reduction in
the neutralization
efficacy of sera from
convalescent patients or
vaccinees
-
Higher transmission
-
Higher reinfection rates
-
Significant reduction in
the neutralization
efficacy of sera from
convalescent patients or
vaccinees 3. Other Variants of Interest Although the clinical impact of the A.23.1 and
the B.1.526 variants is not yet clear, it is essential to perform a careful monitoring of these
variants as well as a rapid assessment of the consequences of the spike protein changes for
vaccine efficacy. The UK has strengthened genomic surveillance to evaluate the molecular evolution of
the prevalent B.1.1.7 variant. New variants with different substitutions have emerged as
a consequence of both the high replication rates of the virus and the increasing selection
pressure resulting from the growth of the seroprevalent fraction of the population of
England. The ones that worry the most are L18F and E484K. The introduction of the
L18F mutation confers a replicative advantage to the virus [50], whereas E484K mutation
could confer resistance to immunity. Moreover, other non-B.1.1.7 lineages with the E484K
mutation have been identified in some UK regions such as the VUI 202102/01 (A.23.1
with E484K) or the B.1.525 (VUI 2021 02/03) with 4 mutations within the spike protein
(Q52R, E484K, Q677H, and F888L). Further work is needed to establish the impact of these
mutations on protective vaccines efficacy in the context of the evolving variants that have
acquired E484K mutation [51]. Vaccines 2021, 9, 243 9 of 13 9 of 13 There is substantial variability in the course of COVID-19, ranging from asymptomatic
infection to death. One of the main topics of ongoing research is how the emergence of the
new SARS-CoV-2 variants impacts patient’s outcome. However, there are no consistent
data published yet, in part due to the fact that most of the genome sequences shared are
not linked to clinical outcomes. One study performed by researchers from the University of
Washington comparing two dominant clades of virus in circulation showed no significant
difference in outcomes of hospitalization or death between clades [52]. Similarly, clinicians
and scientists working in the frontline in South Africa have not observed any differences in
symptoms in people infected with the new variant P.1.351, compared with people infected
with other variants [53]. Nevertheless, further analysis is necessary to screen differences in
COVID-19 symptom type, severity, or duration of the disease caused by the new VOC. 4. Population Monitoring of Variant by Genomic Sequencing Worldwide expansion of genomic sequencing and data exchange is essential to detect
the emergence of new variants or their introduction in a given country or region. To date,
more than 528,000 sequences have been submitted to the GISAID that promotes the rapid
sharing of data from the coronavirus causing COVID-19; however, most of them come from
only a few countries. It is necessary that all the countries share sequence information to
understand the spread of SARS-CoV-2. Improving the geographical coverage of sequencing
is essential for the world to adequately capture the viral changes and establish alternative
measures, as previously reported in Netherlands [54]. Increased sequencing capacity is
a priority research area for the WHO. In order to achieve this objective, a number of
recommendations have been established highlighting the need to have or implement a
network of laboratories with sequencing experience integrated within the epidemiological
surveillance system to generate useful information for the decision-making of public health
measures and to ensure that resources are available to manage increasing numbers of
COVID-19 detection and characterization of sample requests. 5. Defining SARS-CoV-2 Variants More Resistant to Vaccine Action There are several lines of action to establish the role played by the mutations intro-
duced into the SARS-CoV-2 genome on resistance to the action of the immune responses
induced by current vaccines mostly targeting the spike protein. To this end, the scientific
community, WHO, and companies have warned of the need to experimentally establish
assays that determine to what extent the various variants already identified and those
upcoming, that are spreading in the population, are due to mutational changes that confer
an enhanced degree of resistance to the antibodies generated in infected or vaccinated
people. Experimental approaches to be followed are: (1) demonstration in experimental
animal models (humanized mice susceptible to virus, hamsters, ferrets, and macaques) that
emerging variants are more virulent (higher transmission, replication, organ damage, mor-
bidity, and mortality) than Wuhan’s reference strain; (2) demonstration that these variants
withstand the neutralizing action of immune sera induced in current vaccination cam-
paigns, such as mRNA-based vaccines (Pfizer, Moderna), non-replicating adenovirus-based
vaccines (AstraZeneca, Janssen, Sputnik), protein subunit (Novavax), inactivated virus
(Sinovac), and others; and (3) demonstration of the degree of variant control in vaccinated
personnel in comparison with infection by the parental Wuhan strain In those cases in which increased resistance to antibodies was demonstrated, as indi-
cated by the above experimental data, it should also be confirmed that T cell responses are
also affected, or if, on the contrary, the controlling effect of the infection by T lymphocytes
is maintained. These experimental data in animals and humans are necessary to establish
the highest sensitivity and resistance of the different variants to the immune action. g
y
The reduction in the efficacy of different vaccine candidates in regions where the
variants of concern have become prevalent has accelerated the decision of many of the
companies that produce current COVID-19 vaccines to consider modifying their designs to
cover circulating viral variants. The immediate consequence is that there should be on the Vaccines 2021, 9, 243 10 of 13 10 of 13 market new vaccines from the same production companies, which could be given either
to those people already vaccinated as a recall dose or to those who have not yet received
the vaccine dose. These new vaccines modified in their specific platforms would entail
additional costs and could in turn lead to more resistant variants with additional mutations
due to selective pressure from the immune system. 5. Defining SARS-CoV-2 Variants More Resistant to Vaccine Action We hope this does not occur, but we
must remain vigilant about the evolution. g
Anything that can be done to suppress spread of SARS-CoV-2 will help to limit the
emergence of new variants. However, other strategies that include multivalent designs
focused on conserved regions of different viral proteins could be of great prophylactic
relevance to counteract escape variants that are emerging. In this regard, a sustained effort
to develop a pan-SARS-CoV-2 vaccine is warranted. Similarly, to improve the efficacy of
the current treatments, it will be of relevance to use a combination of antibodies directed
against other viral regions in addition to the spike protein or to implement the “lethal
mutagenesis” strategy as alternatives that slow the viral diversification [55]. Conflicts of Interest: The authors declare no conflict of interest. References 1. Denison, M.R.; Graham, R.L.; Donaldson, E.F.; Eckerle, L.D.; Baric, R.S. Coronaviruses: An RNA Proofreading Machine Regulates
Replication Fidelity and Diversity. RNA Biol. 2011, 8, 270–279. [CrossRef] p
y
y
2. Korber, B.; Fischer, W.M.; Gnanakaran, S.; Yoon, H.; Theiler, J.; Abfalterer, W.; Hengartner, N.; Giorgi, E.E.; Bhattacharya, T.;
Foley, B.; et al. Tracking Changes in SARS-CoV-2 Spike: Evidence That D614G Increases Infectivity of the COVID-19 Virus. Cell
2020, 182, 812–827.e19. [CrossRef] [
]
3. Hou, Y.J.; Chiba, S.; Halfmann, P.; Ehre, C.; Kuroda, M.; Dinnon, K.H.; Leist, S.R.; Schäfer, A.; Nakajima, N.; Takahashi, K.; et al. SARS-CoV-2 D614G Variant Exhibits Efficient Replication Ex Vivo and Transmission In Vivo. Science 2020, 370. [CrossRef] 3. Hou, Y.J.; Chiba, S.; Halfmann, P.; Ehre, C.; Kuroda, M.; Dinnon, K.H.; Leist, S.R.; Schäfer, A.; Nakajima, N.; Takahashi, K.; et al. SARS-CoV-2 D614G Variant Exhibits Efficient Replication Ex Vivo and Transmission In Vivo. Science 2020, 370. [CrossRef]
4
Baden L R ; El Sahly H M ; Essink B ; Kotloff K ; Frey S ; Novak R ; Diemert D ; Spector S A ; Rouphael N ; Creech C B ; et al 4. Baden, L.R.; El Sahly, H.M.; Essink, B.; Kotloff, K.; Frey, S.; Novak, R.; Diemert, D.; Spector, S.A.; Rou
Efficacy and Safety of the MRNA-1273 SARS-CoV-2 Vaccine. N. Engl. J. Med. 2021, 384, 403–416. [C 4. Baden, L.R.; El Sahly, H.M.; Essink, B.; Kotloff, K.; Frey, S.; Novak, R.; Diemert, D.; Spector, S.A.; Rouphael, N.; Creech, C.B.; et al. Efficacy and Safety of the MRNA-1273 SARS-CoV-2 Vaccine. N. Engl. J. Med. 2021, 384, 403–416. [CrossRef] 5. Polack, F.P.; Thomas, S.J.; Kitchin, N.; Absalon, J.; Gurtman, A.; Lockhart, S.; Perez, J.L.; Pérez Marc,
et al. Safety and Efficacy of the BNT162b2 MRNA Covid-19 Vaccine. N. Engl. J. Med. 2020, 383, 2603 et al. Safety and Efficacy of the BNT162b2 MRNA Covid-19 Vaccine. N. Engl. J. Med. 2020, 383, 2603–2615. [CrossRef] [PubMed]
6. Voysey, M.; Clemens, S.A.C.; Madhi, S.A.; Weckx, L.Y.; Folegatti, P.M.; Aley, P.K.; Angus, B.; Baillie, V.L.; Barnabas, S.L.; Bhorat,
Q.E.; et al. Safety and Efficacy of the ChAdOx1 NCoV-19 Vaccine (AZD1222) against SARS-CoV-2: An Interim Analysis of Four
Randomised Controlled Trials in Brazil, South Africa, and the UK. Lancet 2021, 397, 99–111. [CrossRef] 7. Tian, J.-H.; Patel, N.; Haupt, R.; Zhou, H.; Weston, S.; Hammond, H.; Logue, J.; Portnoff, A.D.; Norton, J.; Guebre-Xabier, M.; et al. References SARS-CoV-2 Spike Glycoprotein Vaccine Candidate NVX-CoV2373 Immunogenicity in Baboons and Protection in Mice. Nat. Commun. 2021, 12, 372. [CrossRef] 8. Davies, N.G.; Barnard, R.C.; Jarvis, C.I.; Kucharski, A.J.; Munday, J.; Pearson, C.A.B.; Russell, T.W.; Tully, D.C.; Abbott, S.;
Gimma, A.; et al. Estimated Transmissibility and Severity of Novel SARS-CoV-2 Variant of Concern 202012/01 in England. medRxiv 2020. [CrossRef] 9. Risk Related to the Spread of New SARS-CoV-2 Variants of Concern in the EU/EEA—First Update. Available online: https:
//www.ecdc.europa.eu/en/publications-data/covid-19-risk-assessment-spread-new-variants-concern-eueea-first-update
(accessed on 28 January 2021). y
10. Davies, N.G.; Jarvis, C.I.; CMMID COVID-19 Working Group; Edmunds, W.J.; Jewell, N.P.; Diaz-Ordaz, K.; Keogh, R.H. Increased
Hazard of Death in Community-Tested Cases of SARS-CoV-2 Variant of Concern 202012/01. medRxiv 2021. [CrossRef] 11. Brookman, S.; Cook, J.; Zucherman, M.; Broughton, S.; Harman, K.; Gupta, A. Effect of the New SARS-CoV-2 Variant B.1.1.7 on
Children and Young People. Lancet Child Adolesc. Health 2021. [CrossRef] 12. Preliminary Genomic Characterisation of an Emergent SARS-CoV-2 Lineage in the UK Defined by a Novel Set of Spike Mutations—
SARS-CoV-2 Coronavirus/NCoV-2019 Genomic Epidemiology. Available online: https://virological.org/t/preliminary-genomic-
characterisation-of-an-emergent-sars-cov-2-lineage-in-the-uk-defined-by-a-novel-set-of-spike-mutations/563 (accessed on
28 January 2021). 13. Kemp, S.A.; Harvey, W.T.; Datir, R.P.; Collier, D.A.; Ferreira, I.A.T.M.; Carabelli, A.M.; Robertson, D.L
Emergence and Transmission of a SARS-CoV-2 Spike Deletion H69/V70. bioRxiv 2021. [CrossRef] Emergence and Transmission of a SARS-CoV-2 Spike Deletion H69/V70. bioRxiv 2021. [CrossRef]
14. McCarthy, K.R.; Rennick, L.J.; Nambulli, S.; Robinson-McCarthy, L.R.; Bain, W.G.; Haidar, G.; Duprex, W.P. Recurrent Deletions in
the SARS-CoV-2 Spike Glycoprotein Drive Antibody Escape. Science 2021. [CrossRef] 14. McCarthy, K.R.; Rennick, L.J.; Nambulli, S.; Robinson-McCarthy, L.R.; Bain, W.G.; Haidar, G.; Duprex, W
the SARS-CoV-2 Spike Glycoprotein Drive Antibody Escape. Science 2021. [CrossRef] p
y
p
y
p
15. Liu, M.A. A Comparison of Plasmid DNA and MRNA as Vaccine Technologies. Vaccines 2019, 7, 37. [CrossRef] [PubMed] 15. Liu, M.A. A Comparison of Plasmid DNA and MRNA as Vaccine Technologies. Vaccines 2019, 7, 37. [CrossRef] [PubMed]
16. Starr, T.N.; Greaney, A.J.; Hilton, S.K.; Ellis, D.; Crawford, K.H.D.; Dingens, A.S.; Navarro, M.J.; Bowen, J.E.; Tortorici, M.A.; 15. Liu, M.A. A Comparison of Plasmid DNA and M 16. Starr, T.N.; Greaney, A.J.; Hilton, S.K.; Ellis, D.; Crawford, K.H.D.; Dingens, A.S.; Navarro, M.J.; Bowen, J.E.; Tortorici, M.A.;
Walls, A.C.; et al. Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2
Binding. Cell 2020, 182, 1295–1310.e20. [CrossRef] [PubMed] 17. 6. Concluding Remarks The appearance of variants of SARS-CoV-2 is not an unexpected virological finding
but rather a result of natural selection, giving rise to mutations within the long-RNA
(30,000 nucleotides) sequence of coronaviruses. In spite of a viral proof-reading exonuclease,
multiple variants emerge in the population, but only those with an advantage on virus
replication and dissemination prevail. This is further enhanced by the large incidence of
infection rates within humans, accentuated by the presence within the viral genome of
genes encoding antagonists of host defense mechanisms, such as blocking interferon action
and other immune stimulatory molecules. The virus tries to counteract the host response,
giving rise to mutations. Within a year since the virus first appeared in China and its rapid
spread, we are confronted with the emergence of variants of concern in different parts
of the world. The main characteristics are higher binding affinity for the cellular ACE-2
receptor than the parental Wuhan virus, the enhanced resistance to neutralizing antibodies,
and increased virulence. To promote actions for the control of the emerging variants, a major effort is being put
forward by different nations and institutions, such as WHO, CEPI (Coalition for Epidemic
Preparedness Innovations), Gates Foundation, GAVI (Global Alliance for Vaccines and
Immunizations), and others, with the purpose to make universal access to vaccines and
to assure control of virus infection. Indeed, we have proven that current and incoming
vaccines will cope with the control of variants and the potential eradication of the virus. In this regard, the results coming out from Israel on the high efficacy of the Pfizer vaccine
against SARS-CoV-2 infections are encouraging, in a country where the UK variant is
prevalent. It will be only through the detailed understanding of the virus structure, biology,
and vaccine developments that we can finally achieve the control of SARS-CoV-2 infections. Author Contributions: C.E.G. conceptualized and wrote the manuscript. B.P. helped in the draft
writing and editing. M.E. supervised the overall conceptualization and draft writing. All authors
have read and agreed to the published version of the manuscript. Funding: This investigation was supported by grants from Spanish CSIC and Obra Social La Caixa
(CaixaImpulse CF01-0008). Institutional Review Board Statement: Not applicable. nstitutional Review Board Statement: Not applicable Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest. 11 of 13 Vaccines 2021, 9, 243 References Impact of SARS-CoV-2 B.1.1.7 Spike Variant on Neutralisation Potency of Sera from
Individuals Vaccinated with Pfizer Vaccine BNT162b2. medRxiv 2021. [CrossRef] 25. Muik, A.; Wallisch, A.-K.; Sänger, B.; Swanson, K.A.; Mühl, J.; Chen, W.; Cai, H.; Maurus, D.; Sar
Neutralization of SARS-CoV-2 Lineage B.1.1.7 Pseudovirus by BNT162b2 Vaccine–Elicited Human Sera Neutralization of SARS CoV 2 Lineage B.1.1.7 Pseudovirus by BNT162b2 Vaccine Elicited Human Sera. Science 2021. [CrossRef]
26. Wang, P.; Liu, L.; Iketani, S.; Luo, Y.; Guo, Y.; Wang, M.; Yu, J.; Zhang, B.; Kwong, P.D.; Graham, B.S.; et al. Increased Resistance of
SARS-CoV-2 Variants B.1.351 and B.1.1.7 to Antibody Neutralization. bioRxiv 2021. [CrossRef] g
y
26. Wang, P.; Liu, L.; Iketani, S.; Luo, Y.; Guo, Y.; Wang, M.; Yu, J.; Zhang, B.; Kwong, P.D.; Graham, B.S.; et a
SARS-CoV-2 Variants B.1.351 and B.1.1.7 to Antibody Neutralization. bioRxiv 2021. [CrossRef] 27. Wu, K.; Werner, A.P.; Moliva, J.I.; Koch, M.; Choi, A.; Stewart-Jones, G.B.E.; Bennett, H.; Boyoglu-Barnum, S.; Shi, W.;
Graham, B.S.; et al. MRNA-1273 Vaccine Induces Neutralizing Antibodies against Spike Mutants from Global SARS-CoV-
2 Variants. bioRxiv 2021. [CrossRef] 28. Tegally, H.; Wilkinson, E.; Giovanetti, M.; Iranzadeh, A.; Fonseca, V.; Giandhari, J.; Doolabh, D.; Pillay, S.; San, E.J.; Msomi, N.;
et al. Emergence and Rapid Spread of a New Severe Acute Respiratory Syndrome-Related Coronavirus 2 (SARS-CoV-2) Lineage
with Multiple Spike Mutations in South Africa. medRxiv 2020. [CrossRef] p
p
29. Nelson, G.; Buzko, O.; Spilman, P.; Niazi, K.; Rabizadeh, S.; Soon-Shiong, P. Molecular Dynamic Simulation Reveals E484K
Mutation Enhances Spike RBD-ACE2 Affinity and the Combination of E484K, K417N and N501Y Mutations (501Y.V2 Variant)
Induces Conformational Change Greater than N501Y Mutant Alone, Potentially Resulting in an Escape Mutant. bioRxiv 2021. [CrossRef] [
]
30. Wang, Z.; Schmidt, F.; Weisblum, Y.; Muecksch, F.; Barnes, C.O.; Finkin, S.; Schaefer-Babajew, D.; Cipolla, M.; Gaebler, C.;
Lieberman, J.A.; et al. MRNA Vaccine-Elicited Antibodies to SARS-CoV-2 and Circulating Variants. Nature 2021, 1–10. [CrossRef]
31. Wibmer, C.K.; Ayres, F.; Hermanus, T.; Madzivhandila, M.; Kgagudi, P.; Lambson, B.E.; Vermeulen, M.; Berg, K.;
van den Rossouw T Boswell M et al SARS CoV 2 501YV2 Escapes Neutralization by South African COVID 19 Donor Plasma 30. Wang, Z.; Schmidt, F.; Weisblum, Y.; Muecksch, F.; Barnes, C.O.; Finkin, S.; Schaefer-Babajew, D.; Cipolla, M.; Gaebler, C.;
Lieberman, J.A.; et al. MRNA Vaccine-Elicited Antibodies to SARS-CoV-2 and Circulating Variants. Nature 2021, 1–10. [CrossRef] 30. References Wang, Z.; Schmidt, F.; Weisblum, Y.; Muecksch, F.; Barnes, C.O.; Finkin, S.; Schaefer-Babajew, D.; Cipolla, M.; Gaebler, C.;
Lieberman, J.A.; et al. MRNA Vaccine-Elicited Antibodies to SARS-CoV-2 and Circulating Variants. Nature 2021, 1–10. [CrossRef]
31. Wibmer, C.K.; Ayres, F.; Hermanus, T.; Madzivhandila, M.; Kgagudi, P.; Lambson, B.E.; Vermeulen, M.; Berg, K.;
van den Rossouw, T.; Boswell, M.; et al. SARS-CoV-2 501Y.V2 Escapes Neutralization by South African COVID-19 Donor Plasma. bioRxiv 2021, 1–4. [CrossRef] g
31. Wibmer, C.K.; Ayres, F.; Hermanus, T.; Madzivhandila, M.; Kgagudi, P.; Lambson, B.E.; Vermeulen, M.; Berg, K.;
van den Rossouw, T.; Boswell, M.; et al. SARS-CoV-2 501Y.V2 Escapes Neutralization by South African COVID-19 Donor Plasma. bioRxiv 2021, 1–4. [CrossRef] 32. Cele, S.; Gazy, I.; Jackson, L.; Hwa, S.-H.; Tegally, H.; Lustig, G.; Giandhari, J.; Pillay, S.; Wilkinson, E.; Naidoo, Y.; et al. Escape of
SARS-CoV-2 501Y.V2 Variants from Neutralization by Convalescent Plasma. medRxiv 2021. [CrossRef]
f
d
l
h
l
h
f 33. Greaney, A.J.; Loes, A.N.; Crawford, K.H.D.; Starr, T.N.; Malone, K.D.; Chu, H.Y.; Bloom, J.D. Comprehensive Mapping of
Mutations in the SARS-CoV-2 Receptor-Binding Domain That Affect Recognition by Polyclonal Human Plasma Antibodies. Cell Host Microbe 2021. [CrossRef] 34. Callaway, E.; Mallapaty, S. Novavax Offers First Evidence That COVID Vaccines Protect People again
590, 17. [CrossRef] 35. Ledford, H. J&J’s One-Shot COVID Vaccine Offers Hope for Faster Protection. Nature 2021. [CrossRef] 36. Madhi, S.A.; Baillie, V.L.; Cutland, C.L.; Voysey, M.; Koen, A.L.; Fairlie, L.; Padayachee, S.D.; Dheda, K.; Barnabas, S.L.; Bhorat,
Q.E.; et al. Safety and Efficacy of the ChAdOx1 NCoV-19 (AZD1222) Covid-19 Vaccine against the B.1.351 Variant in South Africa. medRxiv 2021. [CrossRef] 37. Genomic Characterisation of an Emergent SARS-CoV-2 Lineage in Manaus: Preliminary Findings—SARS-CoV-2 Coronavirus/
NCoV-2019 Genomic Epidemiology. Available online: https://virological.org/t/genomic-characterisation-of-an-emergent-sars-
cov-2-lineage-in-manaus-preliminary-findings/586 (accessed on 3 February 2021). g
y
g
y
38. Sabino, E.C.; Buss, L.F.; Carvalho, M.P.S.; Prete, C.A.; Crispim, M.A.E.; Fraiji, N.A.; Pereira, R.H.M.; Parag, K.V.; da Silva Peixoto,
P.; Kraemer, M.U.G.; et al. Resurgence of COVID-19 in Manaus, Brazil, despite High Seroprevalence. Lancet 2021. [CrossRef] 39. Buss, L.F.; Prete, C.A.; Abrahim, C.M.M.; Mendrone, A.; Salomon, T.; Almeida-Neto, C.; de França, R.F.O.; Belotti, M.C.; Carvalho,
M.P.S.S.; Costa, A.G.; et al. Three-Quarters Attack Rate of SARS-CoV-2 in the Brazilian Amazon during a Largely Unmitigated
Epidemic. Science 2021, 371, 288–292. [CrossRef] [PubMed] p
40. SARS-CoV-2 Reinfection by the New Variant of Concern (VOC) P.1 in Amazonas, Brazil—SARS-CoV-2 Coronavirus/NCoV-2019
Genomic Epidemiology. References Golubchik, T.; Lythgoe, K.A.; Hall, M.; Ferretti, L.; Fryer, H.R.; MacIntyre-Cockett, G.; de Cesare, M.; Trebes, A.; Piazza, P.;
Buck, D.; et al. Early Analysis of a Potential Link between Viral Load and the N501Y Mutation in the SARS-COV-2 Spike Protein. medRxiv 2021. [CrossRef] 18. Gu, H.; Chen, Q.; Yang, G.; He, L.; Fan, H.; Deng, Y.-Q.; Wang, Y.; Teng, Y.; Zhao, Z.; Cui, Y.; et al. Adaptation of SARS-CoV-2 in
BALB/c Mice for Testing Vaccine Efficacy. Science 2020, 369, 1603–1607. [CrossRef] [PubMed] u, H.; Chen, Q.; Yang, G.; He, L.; Fan, H.; Deng, Y.-Q.; Wang, Y.; Teng, Y.; Zhao, Z.; Cui, Y.; et al. Adaptation
ALB/c Mice for Testing Vaccine Efficacy. Science 2020, 369, 1603–1607. [CrossRef] [PubMed] 19. Hoffmann, M.; Kleine-Weber, H.; Pöhlmann, S. A Multibasic Cleavage Site in the Spike Protein of SARS-CoV-2 Is Essential for
Infection of Human Lung Cells. Mol. Cell 2020, 78, 779–784.e5. [CrossRef] 19. Hoffmann, M.; Kleine-Weber, H.; Pöhlmann, S. A Multibasic Cleavage Site
Infection of Human Lung Cells. Mol. Cell 2020, 78, 779–784.e5. [CrossRef] 20. Meng, T.; Cao, H.; Zhang, H.; Kang, Z.; Xu, D.; Gong, H.; Wang, J.; Li, Z.; C
Enhances Spike Protein Cleavage by TMPRSS. bioRxiv 2020. [CrossRef] 20. Meng, T.; Cao, H.; Zhang, H.; Kang, Z.; Xu, D.; Gong, H.; Wang, J.; Li, Z.; Cui, X.; Xu, H.; et al. The Insert Sequence in SARS-CoV-2
Enhances Spike Protein Cleavage by TMPRSS. bioRxiv 2020. [CrossRef] 21. Gamage, A.M.; Tan, K.S.; Chan, W.O.Y.; Liu, J.; Tan, C.W.; Ong, Y.K.; Thong, M.; Andiappan, A.K.; Anderson, D.E.; Wang, D.Y.;
et al. Infection of Human Nasal Epithelial Cells with SARS-CoV-2 and a 382-Nt Deletion Isolate Lacking ORF8 Reveals Similar
Viral Kinetics and Host Transcriptional Profiles. PLoS Pathog. 2020, 16, e1009130. [CrossRef] p
g
22. Tracking the International Spread of SARS-CoV-2 Lineages B.1.1.7 and B.1.351/501Y-V2—SARS-CoV-2 Coronavirus/NCoV-2019
Genomic Epidemiology. Available online: https://virological.org/t/tracking-the-international-spread-of-sars-cov-2-lineages-b-
1-1-7-and-b-1-351-501y-v2/592 (accessed on 13 February 2021). y
/
(
y
)
23. Xie, X.; Liu, Y.; Liu, J.; Zhang, X.; Zou, J.; Fontes-Garfias, C.R.; Xia, H.; Swanson, K.A.; Cutler, M.; Cooper, D.; et al. Neutralization
of SARS-CoV-2 Spike 69/70 Deletion, E484K and N501Y Variants by BNT162b2 Vaccine-Elicited Sera. Nat. Med. 2021. [CrossRef] 12 of 13 12 of 13 Vaccines 2021, 9, 243 24. Collier, D.A.; Meng, B.; Ferreira, I.; Datir, R.; The CITIID-NIHR BioResource COVID-19 Collaboration; Temperton, N.; Elmer, A.;
Kingston, N.; Graves, B.; McCoy, L.E.; et al. J
J.; Zhang, L.; Hao, H.; Liu, S.; Zhao, C.; Zhang, Q.; Liu, H.; Nie, L.; et al. The Impact of Mutations in
on Viral Infectivity and Antigenicity. Cell 2020, 182, 1284–1294.e9. [CrossRef] [PubMed] References Available online: https://virological.org/t/sars-cov-2-reinfection-by-the-new-variant-of-concern-voc-
p-1-in-amazonas-brazil/596 (accessed on 4 February 2021). p
y
41. Jangra, S.; Ye, C.; Rathnasinghe, R.; Stadlbauer, D.; PVI Study Group; Krammer, F.; Simon, V.; Martinez-Sobrido, L.;
García-Sastre, A.; Schotsaert, M. The E484K Mutation in the SARS-CoV-2 Spike Protein Reduces but Does Not Abolish
Neutralizing Activity of Human Convalescent and Post-Vaccination Sera. medRxiv 2021. [CrossRef] 42. Planas, D.; Bruel, T.; Grzelak, L.; Guivel-Benhassine, F.; Staropoli, I.; Porrot, F.; Planchais, C.; Buchrieser, J.; Rajah, M.M.;
Bishop, E.; et al. Sensitivity of Infectious SARS-CoV-2 B.1.1.7 and B.1.351 Variants to Neutralizing Antibodies. bioRxiv 2021. [CrossRef]
43. Ledford, H. Could Mixing COVID Vaccines Boost Immune Response? Nature 2021, 590, 375–376. [CrossRef] [PubMed] 42. Planas, D.; Bruel, T.; Grzelak, L.; Guivel-Benhassine, F.; Staropoli, I.; Porrot, F.; Planchais, C.; Buchrieser, J.; Rajah, M.M.;
Bishop, E.; et al. Sensitivity of Infectious SARS-CoV-2 B.1.1.7 and B.1.351 Variants to Neutralizing Antibodies. bioRxiv 2021. [CrossRef] 43. Ledford, H. Could Mixing COVID Vaccines Boost Immune Response? Nature 2021, 590, 375–376. [Cros 44. Mallapaty, S. China COVID Vaccine Reports Mixed Results—What Does That Mean for the Pandemic? Nature 2021. [CrossRef]
45. Available online: https://www.times-standard.com/2021/01/18/covid-19-heres-what-we-know-about-the-l452r-variant-that-
was-found-in-humboldt-county (accessed on 9 March 2021). 44. Mallapaty, S. China COVID Vaccine Reports Mixed Results—What Does That Mean for the Pandemic? 45. Available online: https://www.times-standard.com/2021/01/18/covid-19-heres-what-we-know-about-the-l452r-variant-that-
was-found-in-humboldt-county (accessed on 9 March 2021). y (
)
46. Zhang, W.; Davis, B.D.; Chen, S.S.; Sincuir Martinez, J.M.; Plummer, J.T.; Vail, E. Emergence of a Novel SARS-CoV-2 Variant in
Southern California. JAMA 2021. [CrossRef] g
Southern California. JAMA 2021. [CrossRef] 47. Li, Q.; Wu, J.; Nie, J.; Zhang, L.; Hao, H.; Liu, S.; Zhao, C.; Zhang, Q.; Liu, H.; Nie, L.; et al. The Impact of Mutations in
SARS-CoV-2 Spike on Viral Infectivity and Antigenicity. Cell 2020, 182, 1284–1294.e9. [CrossRef] [PubMed] 13 of 13 13 of 13 Vaccines 2021, 9, 243 48. Bugembe, D.L.; Phan, M.V.T.; Ssewanyana, I.; Semanda, P.; Nansumba, H.; Dhaala, B.; Nabadda, S.; O’Toole, Á.N.; Rambaut, A.;
Kaleebu, P.; et al. A SARS-CoV-2 Lineage A Variant (A.23.1) with Altered Spike Has Emerged and Is Dominating the Current
Uganda Epidemic. medRxiv 2021. [CrossRef] 49. West, A.P.; Barnes, C.O.; Yang, Z.; Bjorkman, P.J. SARS CoV 2 Lineage B.1.526 Emerging in the New York Region Detected by
Software Utility Created to Query the Spike Mutational Landscape. bioRxiv 2021. [CrossRef]
50. Grabowski, F.; Kocha´nczyk, M.; Lipniacki, T. L18F Substrain of SARS-CoV-2 VOC-202012/01 Is Rapidly Spreading in England. medRxiv 2021. References [CrossRef] y
y
p
p
50. Grabowski, F.; Kocha´nczyk, M.; Lipniacki, T. L18F Substrain of SARS-CoV-2 VOC-202012/01 Is Rapid
medRxiv 2021. [CrossRef] 51. Investigation of Novel SARS-CoV-2 Variant—Variant of Concern; Public Health England: Birmingham, UK, 2021. 52. Nakamichi, K.; Shen, J.Z.; Lee, C.S.; Lee, A.; Roberts, E.A.; Simonson, P.D.; Roychoudhury, P.; Andriesen, J.; Randhawa, A.K.;
Mathias, P.C.; et al. Hospitalization and Mortality Associated with SARS-CoV-2 Viral Clades in COVID-19. Sci. Rep. 2021,
11, 1–11. [CrossRef] 53. de Oliveira, T.; Hanekom, W. South African Scientists Who Discovered New COVID-19 Variant Share What They Know. Available online: http://theconversation.com/south-african-scientists-who-discovered-new-covid-19-variant-share-what-they-
know-153313 (accessed on 4 March 2021). 54. Oude Munnink, B.B.; Nieuwenhuijse, D.F.; Stein, M.; O’Toole, Á.; Haverkate, M.; Mollers, M.; Kamga, S.K.; Schapendonk, C.;
Pronk, M.; Lexmond, P.; et al. Rapid SARS-CoV-2 Whole-Genome Sequencing and Analysis for Informed Public Health
Decision-Making in the Netherlands. Nat. Med. 2020, 26, 1405–1410. [CrossRef] g
[
]
55. Shannon, A.; Selisko, B.; Le, N.-T.-T.; Huchting, J.; Touret, F.; Piorkowski, G.; Fattorini, V.; Ferron, F.; Decroly, E.; Meier, C.; et al. Rapid Incorporation of Favipiravir by the Fast and Permissive Viral RNA Polymerase Complex Results in SARS-CoV-2 Lethal
Mutagenesis. Nat. Commun. 2020, 11, 4682. [CrossRef]
|
https://openalex.org/W1966219511
|
https://iris.unimore.it/bitstream/11380/608282/1/Clinic0l%20Cardiology%20-%202000-%20Mattioli%20-%20Relationship%20between%20mean%20right%20atrial%20pressure%20and%20doppler%20parameters%20in%20patients.pdf
|
English
| null |
Relationship between mean right atrial pressure and doppler parameters in patients with right ventricular infarction
|
Clinical cardiology
| 2,000
|
cc-by
| 4,572
|
Summary Background: The incidence of an inferior left ventricular in-
farction involving the right ventricle is very high, ranging from
14 to 84%. Isolated right ventricular infarction accounts for
< 3% of all cases of infarction. Introduction The incidence of an inferior left ventricular infarction in-
volving the right ventricle is very high, ranging from 14 to
84%.'3 * Isolated right ventricular infarction accounts for < 3%
of all cases of infarction3 In the presence of a right ventricular
infarction, it is necessary to increase atrial contractility to over-
come the increased myocardial stiffness3 Any reduction in
atrial function is likely to have significant adverse effects on
hemodynamics in patients with a large right ventricular infarc-
t i ~ n . ~
Right atrial pressure (RAP) is highly sensitive and spe-
cific for identifying right ventricular infarction and is a reliable
guide for the rap^.^^^ A comprehensive evaluation of the rela-
tionship between echocardiographic and Doppler parameters
of right ventricular function, right atrial (RA) function, and in-
ferior vena cava, and mean RAP (-)
in patients with right
ventricular infarction has not been performed previously. This
study was undertaken to assess the relationship between Dop-
pler parameters of hepatic vein and tricuspid inflow and right
ventricular and W. Hypothesis: The aim of the present study was to assess the
relationship between Doppler parameters of hepatic vein and
tricuspid inflow, as well as mean right atrial (RA) pressure in
patients with right ventricular infarction. Methods: In all, 59 consecutive patients with inferior left
ventricular infarction involving the right ventricle were select-
ed for the study. All patients underwent Doppler echocardio-
graphic evaluation of tricuspid and hepatic vein parameters
and catheterization of the right side of the heart. Patients were
divided into two groups according to the presence or absence
of severe tricuspid regurgitation. Results: In patients with severe tricuspid regurgitation, a
significant correlation (r = 0.64; p < 0.001) between RA max-
imal volume and mean right atrial pressure (RAP) was found,
and the sensitivity of RA maximal volume in identifying
mean RAP > 7 mmHg was 64% with a specificity of 78%. In
patients without severe tricuspid regurgitation, the most sig-
nificant relationship was observed between mean RAP and in-
ferior vena cava collapse index. Significant correlations be-
tween maximal and minimal diameters of the inferior vena
cava were also observed. Relationship between Mean Right Atrial Pressure and Doppler Parameters in
Patients with Right Ventricular Infarction ANNA V m m MA~OLI,
M.D., ANNADELE CASTELLI,
M.D., GIORGIO
MATTIOLI,
M.D. Department of Cardiology, University of Modena and Reggio Emilia, Modena, Italy Department of Cardiology, University of Modena and Reggio Emilia, Modena, Italy Department of Cardiology, University of Modena and Reggio Emilia, Modena, Italy Key words: right ventricular infarction, mean right atrial pres-
sure, Doppler echocardiography Address for reprints:
Anna Vittoria Mattioli, M.D.
Department of Cardiology
University of Modena and Reggio Emilia
Via del pozzo, 7 1
41 100 Modena, Italy
Received: April 13, I999
Accepted with revision: December 15, 1999 Clin. Cardiol. 23, 771-775 (2000) Clin. Cardiol. 23, 771-775 (2000) 19328737, 2000, 10, Downloaded from https://onlinelibrary.wiley.com/doi/10.1002/clc.4960231015 by CochraneItalia, Wiley Online Library on [22/01/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA a Clin. Cardiol. Vol. 23, October 2000 772 TABLE
I Hemodynamic and two-dimensional echocardiographic parameters on right-side cardiac structure and function in patients with and
without severe tricuspid regurgitation
Hemod ynamics
With severe TR
Without severe TR
Mean RAP (mmHg)
17.2 ~t
7.4 (8-28)
Heart rate @eats/min)
69 f 10 (56-74)
Diastolic blood pressure (mmHg)
84 f 8 (78-88)
31+13(13-35)
16.5 f 6.8 (6-28)
66 f 9 (52-78)
88 f 6 (74-84)
Systolic blood pressure (mmHg)
104* lO(78-130)
106* 14(72-128)
Pulmonary wery systolic pressure (mmHg)
Pulmonary artery diastolic pressure (mmHg)
28*12(17-36)
14 + 6 (7-21)
7 f 6 (6-15)
12 -t 7 (5-19)
8 & 6 (7-1 2)
Pulmonary artery wedge pressure (mmHg)
Cardiac output (Vmin)
2.3 f 1.3 (1.6-4.3)
3,2& lS(1.8-4.7)
Echocardiographic parameters
R.4 vol max cm3
49.7 f 7.5 (38-60)
45.8 & 6.7 (36-57)
R.4 vol min cm3
44.5 rt 6.5 (32-54)
41.6-~6.2(32-52)
IVCmaxcm
1.71 *0.8(1.5-1.85)
1.61 fOS(1.5-1.7)
IVCmincm
1.69 f 0.8 (1.4-1.84)
l.lO+O.4(1-1.2)
IVC collapse (%)
31 f 18 (9-98)
45223(1&98)
RVEF (%)
38.4 f 11 (16-58)
32.5 -t 12(17-58)
Abbreviations: TR = tricuspid regurgitation, mean RAP = mean right atrial pressure, FL4 = right atrium, IVC = inferior vena cava, RVEF = right
ventricular ejection fraction. Doppler echocardiogmphy was used to screen for the presence
of valvular regurgitation. A pulsed Doppler recording of tri-
cuspid inflow was obtained from the low parastemal and api-
cal windows, with the sample volume positioned at the tips of
the tricuspid valve. The flow velocity of the hepatic vein was
obtained from the subcostal view. Ten cardiac cycles from
each window were recorded and measured. Right ventricular
function was quantified from the four-chamber view using
modified Simpson’s rule.’ Study htocol Right ventricular infarction was diagnosed if patients fit at
least three of the electrocardiographic, hemodynamic, angio-
graphic, or echocardiographic In all patients, a standard 12-lead electrocardiogram (ECG)
and right precordial leads (v3-v6R) were recorded within 10 h
from the onset of symptoms. ST-segment deviations were as-
sessed 0.04 s after the J point in all 16 leads. A 1 mm ST-seg-
ment elevation andor Q waves in V4-V6R leads were required
to diagnose the presence of right ventricular infarction.*,’ All
patients had ECG signs of right ventricular involvement. Maximal right atrial volume preceding the opening of the tri-
cuspid valve and minimal RA volume following atrial contrac-
tion were measured from the apical four-chamber view. Right
atrial volumes were calculated with modified Simpson’s rule.’ p
g
g
Radiographic and echocardiographic features of right ven-
tricular infarction were evaluated as previously described in
detail.7.9. 10 The inspiratory change was measured from the two-dimen-
sional subcostal view, from which a percent collapse index
was obtained. The inspiratory change, commonly referred to
as a sniff test, was used frequently to estimate RAP. l2 The hemodynamic alterations that were considered highly
indicative of a right ventricular infarction included signifi-
cantly elevated RAP that exceeded the pulmonary-capillary
wedge
Coronary angiography was considered
indicative of right ventricular infarction if there was an occlu-
sion of the right coronary artery proximal to the acute margin-
al branches .* q
y
Tricuspid inflow measurements were performed from the
window providing the highest overall velocities, allowing the
best angulation with flow. The following parameters were measured: peak early in-
flow velocity, peak late velocity, and the ratio of deceleration:
acceleration time. On the basis of this protocol, 59 patients were enrolled in
this study. Thrombolytic therapy was used in all eligible pa-
tients; 54 patients were eligible while 4 patients had major
contraindications. From the hepatic vein flow velocity, the parameters for peak
velocity and time velocity integral of the systolic, diastolic,
and atrial reversal waves were measured. The duration of the
atrial reversal wave was measured from the beginning to the
end of the atrial reversal wave. All measurements represented
the average of five consecutive cycles. This approach allowed
parameters to be almost identical to those obtained during end-
espiratory apnea. ’ The study protocol was approved by the Ethical Committee
of the University, and all patients signed an informed consent
form. Echocardiographic and Doppler Evaluation Echocardiographic studies were performed with patients in
the supine position. Measurements were taken at end expira-
tion. Standard echocardiographic imaging was obtained from
the parastemal, apical, and subcostal windows for the evalua-
tion of right and left ventricular function and for assessment of
the size of the right atrium and inferior vena ~ a v a . ~
Color flow Patient Population Conclusions: Echocardiographic and Doppler parameters
may be useful for evaluating mean RAP in patients with right
ventricular infarction. In patients with severe tricuspid regur-
gitation, the more important parameters are maximal and
minimal RA volumes. In patients without severe tricuspid re-
gurgitation together with right atrial volume, the important
parameters are acceleration and deceleration time of the tri-
cuspid inflow peak E velocity and hepatic systolic and dias-
tolic venous flow. In all, 74 consecutive patients with inferior left ventricular
infarction involving the right ventricle were screened for the
study. Fifteen patients were excluded from the study because
of an inadequate recording of Doppler tracings andor inade-
quate recording of pressures. The remaining 59 patients (43
men and 16 women) had a mean age of 65 f 8 years. All pa-
tients had indwelling central venous catheters or underwent
catheterization of the right side of the heart, and were in the
Intensive Care Unit of our University Hospital. Simultaneous recordings of transthoracic echocardiogra-
phy, mRAP, and standard upright posteroanterior chest x-ray
film were obtained in all patients. The transthoracic echocardiographic studies were inde-
pendently examined by an observer blinded to the diagnosis
of the patients. Exclusion criteria included inadequate record-
ings of pressures or Doppler tracings, or a chest x-ray inade-
quate for a quantitative evaluation of the width of the azygos
vein. Patients with bundle-branch block, previous cardiac
failure, or those admitted > 10 h after the onset of symptoms
were excluded from the study. Address for reprints:
Anna Vittoria Mattioli, M.D. Department of Cardiology
University of Modena and Reggio Emilia
Via del pozzo, 7 1
41 100 Modena, Italy
Received: April 13, I999
Accepted with revision: December 15, 1999 Address for reprints:
Anna Vittoria Mattioli, M.D. Department of Cardiology
University of Modena and Reggio Emilia
Via del pozzo, 7 1
41 100 Modena, Italy
Received: April 13, I999
Accepted with revision: December 15, 1999 The clinical data of the patients are presented in Table I. Results Patients were divided into two groups according to the pres-
ence or absence of severe tricuspid regurgitation. Group 1 in-
cluded 32 patients (23 men, 9 women, mean age 66 k 8 years)
with severe tricuspid regurgitation. Group 2 included 27 pa-
tients (20 men, 7 women, mean age 64 * 9 years ) without se-
vere tricuspid regurgitation. Right ventricular ejection fraction averaged 32.5 ~t 12%
(range 17-58%). Right atrial maximal volume averaged 45.8
k 6.7 (range 36-57), and minimal volume averaged41.6 f 6.2
(range 32-52). The mean percent collapse of the inferior vena
cava was 45 k 20% (range 1&82%). Doppler and Echocardiographic Features of Patients with
Severe nicuspid Regurgitation Table I shows the hemodynamic and echocardiographic pa-
rameters of patients in Group l. Right ventricular ejection
hction averaged 34 k 1 1 % (range 16-58%). Right atrial max-
imal volume averaged 49 f 7 cm3 (range 38-60 cm3), and
minimal volume averaged 44 f 6 cm3 (range 32-54 cm3). The
maximal diameter of the inferior vena cava averaged 1.7 1 f
0.1 cm (range 1.5-1.8 cm) with a minimal diameter after in-
spiratory effort of 1.69 * 0.8 cm (range 1.4-1.8 cm) and a per-
cent collapse of 3 1 f 18% (range 9-98%). Table IV shows the correlation between echocardiographic
parameters and mRAp. Among echocardiographic parame-
ters, a significant relationship was observed between mRAP TABLE
IIl Correlation between Doppler-derived parameter and mean
right atrial pressure in patients with severe tricuspid regurgitation
Tricusuid flow
r
I, Value
Peak E velocity
Peak A velocity
WA ratio
AFF
A-wave duration
Deceleration time
Acceleration time
Hepatic vein flow
Diastolic velocity
Systolic velocity
Abbreviations as in Table II. 0.11
0.28
0.14
0.29
0.06
0.47
0.42
0.012
0.25
0.5
0.1
0.4
0.1
0.7
0.006
0.01
0.09
0.16 TABLE
IIl Correlation between Doppler-derived parameter and mean
right atrial pressure in patients with severe tricuspid regurgitation Doppler-derived parameters in patients with severe tricus-
pid regurgitation are listed in Table II. Statktical Analysis p
y
A strong inverse relationship was observed between mean
RAP and right ventricular ejection fraction. Correlations be-
tween maximal and minimal diameters and the collapse in-
dex of the inferior vena cava were weak and not significant. The strongest relationship between Doppler parameters and
mRAP was seen with the deceleration and acceleration time
of the tricuspid inflow. Data are expressed as mean f 1 standard deviation. An un-
paired t-test was used to compare variables between groups of
patients. To compare qualitative ventricular function assess-
ment and mean RAP, the chi-square test was used. Correla-
tions were performed with linear regression analysis. Step-
wise multiple linear regression was subsequently performed. The difference was considered statistically significant when
p < 0.05. A.V. Mattioli et al.: Mean right atrial pressure in RV infarction 773 TABLE
II Mean value of Doppler-derived parameters in patients with and without severe tricuspid regurgitation
Tricuspid flow
With severe TR
Without severe TR
Peak E velocity (cds)
58.8 f 16.9 (30-82)
Peak A velocity ( c d s )
76.30k9.2 (54-91)
57.1 f 14.1 (34-80)
AFF
0.27 -I- 0.05 (0.26-0.36)
0.25 f0.03 (0.2-0.31)
% Deceleration time (ms)
218.6f 139(64465)
163.9 f 46 (40-220)
Hepatic vein flow
68.28 k 10.9 (55-96)
WA ratio
0.89 k0. 12 (0.66-1.29)
1.08-~0.39(0.5-2.17)
Diastolic velocity (cds)
39.1 f 16 ( I 8-70)
34.0k 12(18-55)
Systolic velocity (cds)
- 14.2 f 10 [ -7(-24)]
14.4 f 5 (8-28)
Abbreviations: AFF = atrial filling fraction, TR = hicuspid regurgitation. LE
II Mean value of Doppler-derived parameters in patients with and without severe tricuspid regurgitation mean RAP (r = 0.64; p <0.001) (Fig. 2), and the sensitivity of
RA maximal volume in identifying mean RAP >7 mmHg
was 64% with a specificity of 78%. were determined at end expiration and an average of three to
five cycles was obtained. Doppler and Echocardiographic Features of Patients with-
out Severe nicuspid Regurgitation (Group 2) Hemodynamics and Doppler echocardiographic parame-
ters in patients without severe tricuspid regurgitation are pre-
sented in Tables 11 and m. 19328737, 2000, 10, Downloaded from https://onlinelibrary.wiley.com/doi/10.1002/clc.4960231015 by CochraneItalia, Wiley Online Library on [22/01/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online A.V. Mattioli et al.: Mean right atrial pressure in RV infarction A.V. Mattioli et al.: Mean right atrial pressure in RV infarction Hernodynamic Recordings All readings were referenced to the midaxillaty line with
the patients in the supine position. The position of the catheter
was identified by chest radiograms. Pressure measurements Relation of Echocardiographic Measurements to Mean
Right Atrial Pressure Table III shows the correlation between echocardiograph-
ic parameters and mean RAP. A significant correlation was
present for deceleration time (r = 0.47; p <0.006) (Fig. 1). A
relationship was observed between RA maximal volume and 19328737, 2000, 10, Downloaded from https://onlinelibrary.wiley.com/doi/10.1002/clc.4960231015 by CochraneItalia, Wiley Online Library on 19328737, 2000, 10, Downloaded from https://onlinelibrary.wiley.com/doi/10.1002/clc.4960231015 by CochraneItalia, Wiley Online Library on [22/01/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Li Clin. Cardiol. Vol. 23, October 2000 774 23, October 2000
30.00 -
25.00 -
h
I" 20.00 -
E
15.00
4 10.00 -
E
5.00 -
*q< - :*
I
Maximal right atrial volumes (cm3)
FIG. 2 Scatterplot showing the relation of maximal right atrial vol-
ume with mean right atrial pressure (mRAP) in patients with severe
tricuspid regurgitation. + r = 0.64, p < 0.001. 30.00 -
25.00 -
h
I" 20.00 -
E
v
E 15.00 -
3 10.00 -
5.00 -
0.00 -
*
*
/
-* ***-
-
1
30.00 -
25.00 -
h
I" 20.00 -
E
15.00
4 10.00 -
E
5.00 -
*q< - :*
I
Deceleration time
FIG. 1 Scatterplot showing the relation of tricuspid deceleration
time with mean right atrial pressure (mRAP) in patients with severe
tricuspid regurgitation. + r = 0.47, p < 0.01. Maximal right atrial volumes (cm3)
FIG. 2 Scatterplot showing the relation of maximal right atrial vol-
ume with mean right atrial pressure (mRAP) in patients with severe
tricuspid regurgitation. + r = 0.64, p < 0.001. 30.00 -
25.00 -
h
I" 20.00 -
E
v
E 15.00 -
3 10.00 -
5.00 -
0.00 -
*
*
/
-* ***-
-
1
Deceleration time
FIG. 1 Scatterplot showing the relation of tricuspid deceleration
time with mean right atrial pressure (mRAP) in patients with severe
tricuspid regurgitation. + r = 0.47, p < 0.01. 30.00 -
25.00 -
h
I" 20.00 -
E
15.00
4 10.00 -
E
5.00 -
*q< - :*
I
Maximal right atrial volumes (cm3) 30.00 -
25.00 -
h
I" 20.00 -
E
v
E 15.00 -
3 10.00 -
5.00 -
0.00 -
*
*
/
-* ***-
-
1
Deceleration time Maximal right atrial volumes (cm3) FIG. 1 Scatterplot showing the relation of tricuspid deceleration
time with mean right atrial pressure (mRAP) in patients with severe
tricuspid regurgitation. + r = 0.47, p < 0.01. FIG. Relation of Echocardiographic Measurements to Mean
Right Atrial Pressure 2 Scatterplot showing the relation of maximal right atrial vol-
ume with mean right atrial pressure (mRAP) in patients with severe
tricuspid regurgitation. + r = 0.64, p < 0.001. and maximal and minimal right atrial volumes. Larger atrial
volumes at end systole and end diastole were found to be asso-
ciated with higher mRAP. The sensitivity of this parameter in
identifying mRAP > 7 mmHg was 74% and specificity was
87% (Table V). astolic inflow reflects the effect of filling pressure, right ven-
tricular relaxation, and net atrioventricular compliance. l3 The
dependence of tricuspid filling dynamics on loading condition
has been previously described. l4 Right ventricular infarction is
characterized by elevated mRAl', resulting in a higher early
velocity of tricuspid
In patients with right ventricular
infarction and severe tricuspid regurgitation, there was a sig-
nificant correlation between RA maximal volume and mRAp,
this parameter had high sensitivity and specificity in identify-
ing patients with mRAP > 7 mmHg. A larger atrial volume at
the end of ventricular systole is probably due to several factors. The severity of the hemodynamic derangements associated
with right ventricular infarction is related not only to the extent
of right ventricular ischemia, and consequently right ventricu-
lar dysfunction, but also to the restraining effect of the peri-
cardium and the resulting interaction between the ventricles. l5
The restraining effect of the pericardium induces a reduction
in right ventricular systolic pressure in a patient with severe tri-
cuspid regurgitation. (
)
The most significant relationship was observed between
mRAP and the inferior vena cava collapse index. Significant
correlations were observed between maximal and minimal
diameters of the inferior vena cava. Table V shows the sensi-
tivity and specificity of the best Doppler and two-dimension-
al variables for separating normal from elevated mRAP. Discussion The present study was undertaken to assess the relationship
between Doppler echocardiographic parameters and mRAP in
patients with right ventricular infarction. A previous paper by
Nagueh et al. has demonstrated that Doppler parameters of
hepatic vein flow, particularly those including the systolic fill-
ing wave, had the strongest relation with mRAP.I3 This feature
is confirmed by the present paper in a patient population with
acute right ventricular infarction. It was postulated that, as right ventricular systolic function
diminishes, the atrial contraction becomes the driving force for
pulmonary perfusion.'43 16 The inverse relationship between
mRAP and right ventricular ejection time is probably due to
the active right ventricular systolic pressure wave caused by
left ventricular contraction, which bulges in piston-like fashion
into the right ventricle. This generates a systolic force suffi-
cient for pulmonary perfusion and a simultaneous increase in
tricuspid regurgitation.17 g
The strongest relation was observed between systolic and
diastolic hepatic vein flow velocities and mRAP. Tricuspid di- TABLE IV Correlation between Doppler-derived parameter and
mean right atrial pressure in patients without severe tricuspid regur-
gitation
Tricuspid flow
r
p Value
Peak E velocity
0.13
0.5
Peak A velocity
0.41
0.03
WA ratio
0.19
0.32
AFF
0.17
0.39
A-wave duration
0.52
0.005
Deceleration time
0.64
0.0003
Acceleration time
0.65
0.0002
Hepatic vein flow
Diastolic velocity
0.47
0.01
Systolic velocity
0.73
0.001
Abbreviations as in Table II. p
y p
tricuspid regurgitation.17
TABLE V Sensitivity and specificity of echocardiographic and Dop-
pler parameters for mean right atrial pressure > 7mmHg in patients
without severe tricuspid regurgitation
Sensitivity
Specificity
RA volume max > 35 cm
74
87
Acceleration time < 65
65
80
Deceleration time < 200
76
79
Systolic velocity hepatic vein > 30
81
92
Diastolic velocity hepatic vein > 12
84
94
Abbreviation: RA = right atrial. TABLE IV Correlation between Doppler-derived parameter and
mean right atrial pressure in patients without severe tricuspid regur-
gitation
Tricuspid flow
r
p Value
Peak E velocity
0.13
0.5
Peak A velocity
0.41
0.03
WA ratio
0.19
0.32
AFF
0.17
0.39
A-wave duration
0.52
0.005
Deceleration time
0.64
0.0003
Acceleration time
0.65
0.0002
Hepatic vein flow
Diastolic velocity
0.47
0.01
Systolic velocity
0.73
0.001
Abbreviations as in Table II. References The behavior of acceleration time is probably due to right
ventricular pressure tracing, which is often bifid in right ven-
tricular infarction and characterized by a “dip-plateau” pat-
tern in the diastolic pressure curve with a high early gradient
between the right atrium and ventricle.I8 The correlation of
mRAP with deceleration time is similar to that observed in
patients with constrictive peri~arditis.’~ I . Isner JM, Roberts WC: Right ventricular infarction complicating
left ventricular infarction secondary to coronary artery disease. Am
J Cardiol1978;42:885-894 2. Andersen HR, Nielsen D, Falk E: Right ventricular infarction:
Diagnostic value of ST elevation in lead 111 exceeding that of lead II
during inferior/posterior infarction. Am Heart J 1989; 1 17:82-85 In patients without severe tricuspid regurgitation, larger vol-
umes were found to be associated with a hgher mRAP There
was also a strong sensitivity and specificity of the acceleration
and deceleration time of the tricuspid E wave. Furthermore,
these parameters correlated well with mRAP. In this group,
there was also a “dip-plateau’’ in the right ventricular diastolic
pressure curve that reflects a decrease in compliance as well as
in pericardial constraining
l9 Our findings in patients
without severe tricuspid regurgitation were similar to those
previously ~p3rted.I~ 3. Cohn JN: Right ventricular infarction revisited. Am J Cardiol
1979;43:666-668 4. Dell’Italia LJ, Starling MR, Crawford MH, Boros BL, Chanduri
TK, O’Rourke RA: Right ventricular infarction: Identification by
hernodynamic measurements before and after volume loading and
correlation with noninvasive techniques. J Am Coll Cardiol 1984
4:931-939 5. Kazemi H, Parson EF, Valenca LM, Strieder DJ: Distribution of
pulmonary blood flow after myocardial ischemia and infarction. Circulation 1970;41: 1025-1030 6. Milne EN, Pistolesi M, Miniati M, Giuntini C: The vascular pedicle
of the heart and vena azygos. Radiology 1984; 152:%17 p
y
p
The contribution of RA contraction to pulmonary perfusion
explains the correlation between mRAP and hepatic venous
flow. Determinants of the systolic forward flow include atrial
relaxation, the descent of the tricuspid annular plane toward
the ventricle apex, and, more important, the RAP. The higher
the RAP, the lower the pressure gradient between the hepatic
veins and the right atrium, and thus the lower the forward sys-
tolic
l3 In the present study, systolic forward flow pa-
rameters correlated well with RAP, and the diastolic flow also
showed a strong relationship with RAP. Goldstein et al. References ob-
served the right atrial wave form and demonstrated that the
predominant atrial descent in diastole is blunted, reflecting an
increase in resistance to diastolic filling which is proportional
to RAP.^^.^^ 7. Bellamy GR, Rasmussen HH, Nasser FN, Wiseman JC, Cooper
RA: Value of two-dimensional echocardiography, electrocardiog-
raphy and clinical signs in detecting right ventricular infarction. Am
Heart J 1986; 1 12:304-309 8. Berger PB, Ruocco NA, Timm CT, Zaret BL, Wackers FJ, and the
TIM1 Investigators: The impact of thrombolytic therapy in right
ventricular infarction complicating inferior myocardial infarction:
Results fromTIMI II. Circularion 1989;80:313-314 Results fromTIMI II. Circularion 1989;80:313-314 9. Mattioli AV, Bastia E, Mattioli G: Doppler echocardiographic find-
ings in patients with right ventricular infarction. J Ultrasound Med
1998; 17;297-301 10. Mattioli AV, Mattioli G Radiographic finding of patients with right
ventricular infarction: Prognostic evaluation. Radiography 2000;
6~19-26 I I. Panidis IF‘, Ren J, Kotler MN, Mintz G, Iskandrian AM, Ross J,
Kane S: Two dimensional echocardiographic estimation of right
ventricular ejection fraction in patients with coronary artery dis-
ease. JAm Coll Cardiol1983;2:911-918 Clinical Implication 12. Kircher BJ, Himelman RB, Schiller NB: Noninvasive estimation of
right atrial pressure from the inspiratory collapse of the inferior
vena cava. Am J Cardiol1990;66:493-496 A recent paper reported the reference values for right ven-
tricular filling of normal persons?’ suggesting the role of right-
side Doppler parameters in the comprehensive evaluation of
many diseases. The role of Doppler echocardiography in the
Coronary Care Unit has been increasing over the years, and we
need to get more information, not only about the extension of
the ischemic disease but also to assess hemodynamics and
function. The Doppler echocardiographic parameters we test-
ed can be useful in identifying patients with right ventricular
infarction and increased mRAP when invasive techniques are
not immediately available. 13. Nagueh SF, Kopelen HA, Zoghbi WA: Relation of mean right atrial
pressure to echocardiographic and Doppler parameters of right atri-
al and right ventricular function. Circulation 1996;93: 1 160-1 169 g
14. Sadler DB, Brown J, Mursett H, Roberts J: Impact of hemodialysis
on left and right ventricular Doppler diastolic filling indices. Am J
Med Sci 1992;304:83-90 15. Calvin J E Optimal right ventricular filling pressures and the role
of pericardial constraint in right ventricular infarction in dogs. Circulation 199 1;84852-861 16. Kuo LC, Quinones MA, Rokey R, Sartori M, Abinader EG, Zoghbi
WA: Quantification of atrial contribution to ventricular filling by
pulsed Doppler echocardiography and the effect of age in normal
and diseased heart. Am J Curdiol 1987;59: 1 174-1 178 17. Goldstein JA, Barzilai B, Rosamond TL, Eisenberg PR, Jaffe AS:
Determinants of hernodynamic compromise with severe right ven-
tricular infarction. Circulation I990;82:359-368 Discussion TABLE IV Correlation between Doppler-derived parameter and
mean right atrial pressure in patients without severe tricuspid regur-
gitation TABLE V Sensitivity and specificity of echocardiographic and Dop-
pler parameters for mean right atrial pressure > 7mmHg in patients
without severe tricuspid regurgitation
Sensitivity
Specificity
RA volume max > 35 cm
74
87
Acceleration time < 65
65
80
Deceleration time < 200
76
79
Systolic velocity hepatic vein > 30
81
92
Diastolic velocity hepatic vein > 12
84
94
Abbreviation: RA = right atrial. TABLE V Sensitivity and specificity of echocardiographic and Dop-
pler parameters for mean right atrial pressure > 7mmHg in patients
without severe tricuspid regurgitation A.V. Mattioli et al.: Mean right atrial pressure in RV infarction 775 Conclusions 18. Kinch JW, Ryan TJ: Right ventricular infarction. N Engl J Med
1994;330;1211-1217 The echocardiographic and Doppler parameters may be
useful for evaluating mRAP in patients with right ventricular
infarction. In patients with severe tricuspid regurgitation, the
more important parameters are maximal and minimal RA vol-
umes. The increase of RA volumes suggested an increased
mRAP > 7 d
g
. In patients without severe tricuspid regur-
gitation together with right atrial volume, the important pa-
rameters are the acceleration and deceleration times of the tri-
cuspid E wave and hepatic, systolic, and diastolic venous flow. 19. Oh JK, Hatle LK, Seward JB, Danielson GK, Schaff HV, Reeder
GS, Tajik AJ: Diagnostic role of Doppler echocardiography in con-
strictive pericarditis. JAm Coll Cardiol1994;22 1935-1943 p
20. Goldstein JA, ’heddell JS, Barzilai B, Yagi Y, Jaffe AS, Cox JL:
Importance of left ventricular function and systolic ventricular in-
teraction to right ventricular performance during acute right heart
ischemia. JAm Coll Cardiol1992;19:704-711 21. Klein AL, h u n g DY, Murray RD, Urban LH, Bailey KR, Tajik AJ:
Effects of age and physiologic variables on right ventricular filling
dynamics in normal subjects. Am J Curdiol1999;84:440-448
|
https://openalex.org/W4381094598
|
https://link.springer.com/content/pdf/10.1007/s00338-023-02397-1.pdf
|
English
| null |
Quantifying capture and ingestion of live feeds across three coral species
|
Coral reefs
| 2,023
|
cc-by
| 10,831
|
Coral Reefs (2023) 42:931–943
https://doi.org/10.1007/s00338-023-02397-1 REPORT REPORT Quantifying capture and ingestion of live feeds across three coral
species Julia Saper1,2,3 · Lone Høj2 · Craig Humphrey2 ·
David G. Bourne1,2 Received: 12 March 2023 / Accepted: 29 May 2023 / Published online: 17 June 2023
© Crown 2023, corrected publication 2023 Abstract Nutrient acquisition through heterotrophy is
critical for the health of reef-building corals. The optimi-
zation of exogenous nutrition protocols to support a diver-
sity of aquaculture corals requires improved techniques to
assess feeding rates. Here, we compared the feeding rates of
three coral species (Acropora millepora, Pocillopora acuta
and Galaxea fascicularis) fed Artemia salina through cap-
ture rate (indirect) and dissection (direct) approaches, with
direct detection and enumeration within dissected polyps
facilitated by fluorescent microbeads ingested by the Arte-
mia. When A. millepora was provided Artemia at 3 indi-
viduals ml−1 for one hour, the calculated capture rates (0.7
ind. polyp−1 h−1) overestimated prey ingested compared to
prey detected directly within polyps (0.2 ind. polyp−1 h−1),
and ingestion varied significantly between genotypes. In contrast, for P. acuta, capture rate calculations (1 ind. polyp−1 h−1) underestimated prey detected within polyps
(3.5 ind. polyp−1 h−1) and ingestion did not vary between
genotypes. For G. fascicularis, the feeding rates were similar
as calculated by both capture rates (59 ind. polyp−1 h−1) and
by polyp dissections (75 ind. polyp−1 h−1). Results from this
study provide valuable insights into coral feeding rates of different coral species that can improve prey enrichment and
feeding strategies for nutritional supplementation of corals
in captivity. Keywords Coral feeding · Coral aquaculture ·
Fluorescence microscopy · Artemia · Feeding rates ·
Dissections * David G. Bourne
david.bourne@jcu.edu.au 3
AIMS@JCU, James Cook University, Townsville,
QLD 4811, Australia 1
College of Science and Engineering, James Cook University,
Townsville, QLD 4811 , Australia 2
Australian Institute of Marine Science, PMB 3 Townsville
MC, Townsville, QLD 4810, Australia Introduction 2016;
Smith et al. 2016; Axworthy & Padilla-Gamino 2019). However, dissections require time, refined microscopic
approaches and are complicated by small coral polyps and
cryptic prey (Trager et al. 1994; Houlbrèque et al. 2004b). Importantly, though polyp dissections are an important
tool to understand the amount and types of prey consumed,
it is not always feasible to differentiate degraded prey from
coral tissue. One approach to overcome these limitations
is visual aids (e.g., dyes, fluorescent markers) to improve
prey detection. The addition of fluorescent markers could
extend our understanding of feeding by facilitating docu-
mentation of uptake and increasing contrast between prey
and coral tissue. Visualization methods using fluorescent
polystyrene microbeads first emerged as a biomedical
diagnostic tool (Popielarski et al. 2005; Madden et al. 2013; Bott 2014) and have since been applied to investi-
gate prey preference in ornamental marine fish (Lee et al. 2018). Many zooplankton species, including copepods,
rotifers and mysid shrimp, graze on particulate matter
and inadvertently ingest microplastics. Direct detection
of microplastics ingestion in experimentally infected zoo-
plankton has been demonstrated by the application of fluo-
rescent polystyrene microbeads (Setälä et al. 2014; Lee
et al. 2018; Miller et al. 2020). These studies suggest that
many zooplankton species can be readily incubated with
fluorescent microbeads (Setälä et al. 2014; Lee et al. 2018;
Miller et al. 2020). Among a range of diets employed by aquarium facili-
ties, Artemia spp. nauplii is a cost-effective, commercially
available option. Artemia is offered to an estimated 85%
of all marine organisms in aquaculture (Trager et al. 1994;
Sebens et al. 1998; Kumar & Babu 2015) and has been dem-
onstrated to stimulate growth and improve survivability of
a range of captive corals (Osinga et al. 2012a; Tagliafico
et al. 2018a). The growth and survival of juvenile and adult
aquarium reared Pocillopora acuta (Toh et al. 2013; Huang
et al. 2020), Pocillopora damicornis (Conlan et al. 2018),
Acropora tenuis, Favia fragum (Petersen et al. 2008) and
Duncanopsammia axifuga (Tagliafico et al. 2018b) improved
significantly when fed Artemia nauplii when compared to
unfed corals. A range of indirect and direct approaches have assessed
coral feeding abilities, each with strengths and limitations. The capture rate approach is an indirect method of assess-
ment commonly used to select optimal feeding densities for
aquarium reared corals (Osinga et al. 2008, 2012b; Kuanui
et al. 2016). Introduction Coral aquaculture is expanding rapidly to supply a grow-
ing ornamental trade and to replenish reefs that have been
degraded due to anthropogenic impacts (Osinga et al. 2011;
Leal et al. 2016). Across the ornamental and hobbyist indus-
try, there are over 100 coral species collected from the wild
and propagated in relatively small-scale aquarium systems
(Borneman 2009; Tagliafico et al. 2018a). However, as the
demand for coral increases, the scale at which corals are
cultured in captivity must also expand to reduce impacts of
wild harvesting (Barton et al. 2015). Exogenous feeds are
needed to fully meet the nutritional needs of captive corals. Our limited understanding of the nutritional requirements of
corals and their species-specific feeding abilities represent
significant hurdles for large-scale production. Supplementary Information The online version contains
supplementary material available at https://doi.org/10.1007/
s00338-023-02397-1. i
Heterotrophic feeding is essential to the health of all
symbiotic, reef-building corals (Brafield & Llewellyn 1982;
Anthony & Fabricius 2000; Houlbrèque et al. 2004a). Sym-
biotic corals are mixotrophs, obtaining energy through auto-
trophic assimilation of photosynthates derived from their
algal symbiotic partners (Symbiodiniaceae) and through
heterotrophic feeding (Houlbrèque & Ferrier-Pagès, 2009;
Ferrier-Pagès et al. 2011). Although some corals can acquire
significant amounts of their energy needs from photosyn-
thates, all corals require heterotrophic inputs to survive (0121 932 Coral Reefs (2023) 42:931–943 (Palardy et al. 2008; Hughes et al. 2010; Ezzat et al. 2016). Morphological characteristics can provide useful insights
into a coral species’ feeding ability. For example, a fast-
growing branching or tabulate coral colony, such as an
Acropora sp., has small polyps (< 1 mm diameter) and the
high surface to volume ratios of colonies maximizes light-
acquisition which can impede capture of live prey. In con-
trast, a slow-growing massive coral colony, such as a Favites
sp., has larger polyps (> 5 mm diameter), which may have
evolved to maximize plankton-capture (Houlbrèque et al. 2009; Conti-Jerpe et al. 2020). accurately assess coral feeding and to date have employed
video (Wijgerde et al. 2011; Osinga et al. 2012b) and coral
polyp dissections (Hall et al. 2015; Kuanui et al. 2016;
Smith et al. 2016). For example, dissections of P. dami-
cornis, A. millepora and A. nobilis polyps have been uti-
lized to investigate the breakdown of Artemia nauplii in
fed corals as well as the composition of ingested plankton
in G. fascicularis across reef habitats (Kuanui et al. 1 3 Coral collection and maintenance Three adult colonies (genotypes) of each species (A. mille-
pora, P. acuta and G. fascicularis) were collected from
Davies Reef (lat.: 18°49′31″ S, long.: 147°38′50″ E) (AIMS
General Permit G12/35236.1). Following collection, corals
were transported to the National Sea Simulator (SeaSim)
located at the Australian Institute of Marine Science (AIMS,
Cape Cleveland, Australia) and acclimated to aquarium con-
ditions in outdoor tanks for two weeks, with the tempera-
ture set to emulate reef conditions (24 °C) at the time of
collection. Adult colonies were cut into small fragments (2–5 cm
length) using a Gryphon Coral Saw then adhered to either
aragonite (capture rate experiment) or ceramic plugs with a
wax coating to prevent biofouling (ingestion experiment). Plugs were placed on elevated PVC trays, which were moved
to 250 l indoor holding tanks where fragments further accli-
mated for four weeks. Holding tanks were supplied with
filtered (1 µm) flow-through seawater and a circulation pump
(Tunze® Turnbelle® nanostream®) for water movement. The temperature of the holding tanks was maintained at
27 ± 0.02 °C, and a light regime was programmed to match
the natural day and night cycle and oscillations in intensity
(maximum 200–250 µmol photons m−2 s−1). Lights were
ramped up to maximum intensity over four hours, held for
four hours then ramped down over four hours. Coral frag-
ments in holding tanks were fed low concentrations of Arte-
mia instar I nauplii and Brachionus plicatilis daily to sup-
port their nutritional health prior to experimental trials. To
control algal growth, tanks were manually cleaned weekly
as well as via herbivorous snails (Turbo spp. and Thalo-
tia strigata) and orange-shoulder surgeonfish (Acanthurus
olivaceus). For the ingestion experiment’s feeding trials, prior to use,
small volumes of the microbeads stock solution (3.8 × 1010
particles ml−1, in a 2% solids solution) were dispensed and
diluted with ultra-filtered seawater (0.22 µm) at 1:1 ratio. The diluted solution was sonicated briefly to prevent aggre-
gation, and then, 10 µl was added to 25 ml suspension cul-
ture flasks with vented caps (Sarstedt, Germany) with 7 ml
of Artemia nauplii (~ 600 ind. ml−1). Flasks were placed on
an orbital shaker (50 rpm) for 1 h before rinsing thoroughly
with seawater using a 250 µm mesh net for 5 min. Methods ingested fluorescent microbeads and their average size at this
time. For the ingestion experiment, Artemia were harvested
at this time point to ensure that they could ingest microbeads
and hence could be visualized in fed corals. At eight fixed
time points after harvest, Artemia nauplii were incubated
with fluorescent microbeads, as described below. After incu-
bations, nauplii were placed onto glass cavity slides with the
addition of a viscous solution (1% methocel) to slow down
prey movement for visualization using an inverted fluores-
cent microscope (LEICA DMI6000B, LAS-X software) with
fluorescent filters (ET-GFP, 450/490 nm) and images were
taken (AxioCam MRc Rev. 3). Lengths of nauplii (n = 30)
were measured from the eye to the end of the tail (Ekono-
mou et al. 2019) using Leica Application Suite X (LAS-X)
microscope software. Larval developmental stage was deter-
mined by detection of fluorescence beads in the nauplii guts
since microbeads could only be taken up by feeding nauplii,
which occurs after their first molt into instar II nauplii, with
developed mouthparts and guts. Coral collection and maintenance To assess
if the washing step removed microbeads from nauplii sur-
faces and the surrounding solution, aliquots of Artemia were
fixed in 4% neutral buffered formaldehyde (NBF) in sea-
water solution before and after and subsequently inspected
by fluorescence microscopy. Similarly, an Artemia aliquot
was fixed after each feeding trial to confirm gut retention of
microbeads for downstream detection. Introduction Determination of mean capture rates involves
counting prey in a fixed volume of water before and after
a feeding period and then, normalizing to a unit of coral
(e.g., surface area or polyp number). The capture of Artemia
by a range of corals, including small polyp Acropora spe-
cies (Hoogenboom et al. 2015; Kuanui et al. 2016; Taglia-
fico et al. 2018a), P. damicornis (Hoogenboom et al. 2015;
Kuanui et al. 2016) and relatively large polyp Galaxea fas-
cicularis (Hii et al. 2009; Osinga et al. 2012b; Hoogenboom
et al. 2015) and D. axifuga (Tagliafico et al. 2018a), has been
measured through this approach. However, such indirect
methods rely on problematic assumptions that prey captured
equals prey consumed and do not account for the dynam-
ics of prey capture, ingestion and release, or prey passively
caught by mucus secretions but not ingested (Osinga et al. 2012b). Additionally, the capture rate approach calculates
average capture rates per polyp based on whole fragment
measurements, although there is likely a non-uniform dis-
tribution of ingested prey across polyps within a fragment
and across the larger colony. To aid in the direct quantification of feeding rates, this
study compares the capture and ingestion abilities of three
morphologically distinct scleractinian coral species (Acro-
pora millepora, Pocillopora acuta and Galaxea fascicula-
ris) fed Artemia nauplii. Furthermore, this study compares
and develops methods that can accurately inform feeding
regimes for corals in aquaculture. The ability of these cor-
als to capture and ingest Artemia was investigated through
two experiments. The first, referred to as “the capture rate
experiment,” compared the ability of corals to capture
Artemia salina instar I nauplii supplied at different initial
densities, as measured by the number of prey items cleared
from a fixed volume of water. The second experiment,
referred to as “the ingestion experiment,” directly quanti-
fied the number of prey items ingested by coral polyps
via fluorescence microscopy detection of Artemia instar II
nauplii, incubated with fluorescent microbeads. To quantify and assess both capture and ingestion
of delivered feeds by individual coral polyps, direct
approaches must be utilized. Direct approaches can more 1 3 1 3 933 Coral Reefs (2023) 42:931–943 Capture rate experiment Capture rate experiment A drop of suspended Artemia was added to each chamber to
elicit a feeding response prior to delivering feeds. For P. acuta
and A. millepora trials, instar I nauplii were delivered to nine
chambers per species, each housing one coral fragment, per
prey density treatment (3 replicate chambers per treatment:
Low (1 ind. ml−1), Medium (2 ind. ml−1) and High (4 ind. ml−1). For G. fascicularis trials, an additional prey density
treatment (8 ind. ml−1) was added due to the high feeding rates
previously documented for G. fascicularis (Osinga et al. 2008;
2012b). For each experimental chamber with coral, there was
a corresponding control chamber without coral. Trials com-
menced at 10:00 h, during peak light intensity, on three con-
secutive mornings. This controlled for potential differences in
feeding based on light intensity fluctuations and repeat cap-
ture rate measurements over consecutive days tested satiation
effects (e.g., decreases in mean daily capture rates over time). Initial (C0) and final (Ct) prey concentrations were determined
by counting 20 ml seawater aliquots collected five min after
feed delivery and again one hour later. After feeding trials were completed, coral fragments were
fixed for 24 h in 4% NBF at 4 °C and then rinsed in ultra-
filtered seawater (0.22 µm) prior to placement in 4% formic
acid solution for decalcification for 24 h–48 h. Decalcified
fragments were rinsed in ultra-filtered seawater (0.22 µm)
and placed in 2 × PBS in 50% ethanol (0.44 µm syringe fil-
tered) for storage at −20 °C until dissected.i Decalcified corals were pinned to wax dissecting plates
using headless stainless-steel pins (5 mm, Cat. no. E185,
Australian Entomological SuppliesPTY LTD) and dissected
under a dissecting stereoscope (LEICA MZ109) with an in-
built GFP long-pass filter (LEICA ET-GFP LP FLUO filter;
excitation filter: 480/40 nm, barrier filter: 254/511 nm) using
forceps, dissecting scissors, scalpels, and fine tip dissect-
ing probes (0.25 mm, product 10,140, Fine Science Tools,
Inc.). Decalcified corals were cut into tissue sections and
imaged one section at a time (Software: LAS V4, Camera:
Leica DFC450 C). After imaging, ingested Artemia were
counted within all the polyps present within each tissue sec-
tion. Lastly, tissue sections were discarded to avoid double
counting. Upon conclusion of the third day of trials, polyp counts
were obtained for each fragment. A. millepora and P. Ingestion experiment Ingestion experiment Capture rate experiment acuta
polyp counts were derived by multiplying their respective
average number of polyps per square centimeter with their
surface area measured using a wax dipping protocol (Veal
et al. 2010). The average number of polyps per square centim-
eter for A. millepora and P. acuta fragments was estimated by
counting the number of polyps within a measured area using
ToupView software version 4.10 (ToupTek, Zhejiang, China)
from a minimum of three different sections (e.g., base, trunk,
branch) of 20 representative fragments per species. Due to
their larger size, G. fascicularis polyps were counted manu-
ally. Mean capture of Artemia per coral polyp was calculated
by the following Eq. (1): Acropora millepora fragments (L: ~ 2 cm, W: ~ 0.5 cm)
were incised longitudinally with the axial corallites bisected. P. acuta fragments (L: ~ 2 cm, W: ~ 2 cm) were ‘unfolded’
and flattened. Each fragment was cut into 6 ± 2 sections. G. fascicularis fragments (L: ~ 2 cm W: ~ 2 cm) each had four
to five polyps, which were dissected separately. The mouth
of each G. fascicularis polyp was probed to separate clumps
of Artemia from the tentacles, which auto-fluoresced. Each
polyp was then longitudinally incised, flattened and pinned
to the wax dish. The flattened sections were further divided
to avoid double counting. A series of images were taken for
all dissected samples and imported into Image J (https://
imagej.nih.gov/ij/) for analysis and annotation. In each sec-
tion, polyps were outlined and numbered with prey enumer-
ated using the multi-point tool. Correct detection of ingested
Artemia was ensured by comparison with control images
generated in pilot studies where corals were delivered (i)
Artemia without beads; (ii) Artemia incubated with beads
or (iii) beads only. (1)
Capture rate ∶(Co −Ct
)xVwater∕N (1) where Co is the initial, and Ct is the final number of nauplii
in a sample volume of water at the end of an allocated feed-
ing time (1 h), Vwater is the volume of water in the feeding
chamber, and N is the number of coral polyps (Osinga et al. 2012b). Artemia preparation Prior to feeding trials, coral fragments were moved into 2.5 l
cylindrical acrylic feeding chambers to acclimate for 24 h
with flow-through filtered seawater set to one turnover per
hour (2.5 l h−1). Feeding chambers were placed in freshwater
baths to maintain constant temperature of 24 °C. Water pow-
ered, magnetic stirrers and a magnetic stir bar were added to
the bottom of each feeding chamber to homogenize delivered
prey and provide water movement.l Artemia salina cysts (Sep-Art magnetic GSL Artemia cysts,
INVE, Belgium) were hatched overnight and harvested daily
(2.5 g cysts in 1 l seawater; pH:8, salinity 25–35 ppt). A
magnetized collector tube (Sep-Art™, INVE, Belgium) sep-
arated cysts from hatched nauplii. Newly harvested instar I
nauplii were diluted with filtered seawater (1 µm) and gently
aerated (~ 1:4 Artemia to seawater ratio; ~ 600 ind. ml−1). Repeat counts of Artemia nauplii in the diluted solution
(n = 5 or until the standard error was < 10% of the mean)
were conducted in a Bogrov counting chamber to determine
the delivered prey densities. The diluted Artemia solution
was kept at 27 ± 0.02 °C until the feeding trials. Water flow to the feeding chambers was stopped and the
water volume in each chamber carefully adjusted by siphoning
to 2 l (capture rate experiment) or 1 l (ingestion experiment). Feeds were delivered to the feeding chambers via syringe. Magnetic stir bars (80 revolutions min−1) ensured distribu-
tion of prey without stratification. Observations on feeding An initial study was conducted to determine an aver-
age time point (hours post-harvest) when all Artemia had 1 3 3 Coral Reefs (2023) 42:931–943 934 species. Each chamber housed three fragments of differ-
ent genotypes (n = 12 fragments per species; four of each
genotype). To calculate capture rates for the corals in the
same chambers, initial and final prey counts were taken
from 20 ml seawater aliquots collected immediately after
feed delivery and again 70 min later, allowing 10 min for
corals to elicit a feeding response to added prey. response indicators (e.g., polyp extension, tentacle move-
ment, formation of mucus-prey agglomerations) were taken
at 10 min post-feed delivery as well as throughout each trial. Experiment I: capture rate For A. millepora, the average surface area of fragments was
84 ± 4.5 cm2, with an average number of 46 ± 2 polyps cm−2
(3844 ± 219 mean polyps fragment−1) (Table 1). There was
no significant difference in initial Artemia prey counts
between control and experimental chambers (t =− 0.75,
df = 52, P = 0.5) and no significant difference between ini-
tial and final Artemia counts in control chambers without
corals (t =− 0.04, df = 52, P = 0.96). In contrast, a signifi-
cant difference was found between initial and final Artemia
counts for chambers with A. millepora, with final counts
being lower (t = 6.39, df = 52, P < 0.0005). The capture rates
of Artemia delivered at initial concentrations of 1, 2 and 4
ind. ml−1 were 0.31 ± 0.08, 0.57 ± 0.08 and 1.22 ± 0.13 ind. polyp−1 h−1, respectively. There was a strong linear rela-
tionship between capture rate and prey density as the ini-
tial prey concentration increased (capture rate ~ initial ind. polyp−1, r2 = 0.88) (Fig. 1a). Capture rates, normalized to
polyps across chambers, on consecutive days and delivered
prey levels did not differ significantly (Analysis of Deviance,
x2 = 1.33, P = 0.25 and x2 = 3.17, P = 0.20, respectively). However, coral mucus secretions were observed trapping
delivered Artemia, particularly in chambers delivered 2 or
4 ind. ml−1 (Online Resource 2a). There were no significant
interactions between fixed factors (Analysis of Deviance,
x2 = 3.25, P = 0.19). For the ingestion experiment, count regression models
assessed the effect of genotype and feeding chamber on the
number of Artemia counted within polyps of each dissected
section of a particular species. Dissected sections within
samples were included as random effects, when this was
found to improve the model. Overdispersion in the nauplii
counts was handled by using the negative binomial as the
family for the count regression. Analyses of deviance (car
R-package) determined whether the two main effects (geno-
type, chamber) influenced the number of Artemia consumed
by each species. Paired t tests assessed differences in feeding
rates as calculated by capture rate and ingestion rate values
for a given chamber. Lastly, pairwise two-sample t tests,
allowing for unequal mean variances, were used to analyze
the mean feeding rates from both experiments where initial
prey densities were comparable to 3 ind. Data analysis Artemia instar II nauplii, incubated with fluorescent micro-
beads as described above, were delivered at a fixed den-
sity (3 ind. ml−1) to four replicate feeding chambers per Statistical analyses were carried out in R-studio (version
1.4.1106, R Core Development Team, 2009) using a sig-
nificance level of P < 0.05. Models that best explained the 1 3 3 935 Coral Reefs (2023) 42:931–943 trends in the feeding rate data, outlined below, were selected
using Akaike Information Criterion (AIC). For the capture
rate experiment, maximum-likelihood models were used
to evaluate the effect of day and initial prey densities (ind. ml−1) on capture rates (ind. polyp−1 h−1) (car, lme4 R-pack-
ages). Two sets of models were fitted. One examined the
effects of coral species, day (i.e., satiation) and initial prey
density on the prey capture rate and all interactions. This
first model was then reduced to the simplest model, using
AIC to compare alternative models. To clarify the signifi-
cant interactions identified in the final model, each species
was then analyzed separately. Additionally, the difference
in initial and final Artemia nauplii concentrations between
control chambers (Artemia only) and experimental chambers
(Artemia + corals) was assessed by paired t tests. trends in the feeding rate data, outlined below, were selected
using Akaike Information Criterion (AIC). For the capture
rate experiment, maximum-likelihood models were used
to evaluate the effect of day and initial prey densities (ind. ml−1) on capture rates (ind. polyp−1 h−1) (car, lme4 R-pack-
ages). Two sets of models were fitted. One examined the
effects of coral species, day (i.e., satiation) and initial prey
density on the prey capture rate and all interactions. This
first model was then reduced to the simplest model, using
AIC to compare alternative models. To clarify the signifi-
cant interactions identified in the final model, each species
was then analyzed separately. Additionally, the difference
in initial and final Artemia nauplii concentrations between
control chambers (Artemia only) and experimental chambers
(Artemia + corals) was assessed by paired t tests. Experiment I: capture rate ml−1 ± 1.5 to com-
pare results derived from three calculations. For P. acuta, the average surface area of fragments
was 153 ± 10 cm2, with an average of 70 ± 2 polyps cm−2
(10,762 ± 748 polyps fragment−1) (Table 1). Mean P. acuta capture rates ranged from 0 to 0.29 ind. polyp−1 h−1
(Fig. 1b). Initial and final Artemia counts in the control
chambers were not significantly different (t =− 0.06, df = 34,
P = 0.949) though initial counts made five min after feed
delivery were higher in control chambers than in cham-
bers with corals (t = 2.73, df = 30, P < 0.005). In chambers
with P. acuta fragments, fewer Artemia were counted at the
final compared to the initial time point (t = 3.69, df = 22,
P < 0.005). Mean capture rates when delivered Artemia
at 1, 2 and 4 ind. ml−1 were 0.06 ± 0.02, 0.06 ± 0.01 and
0.14 ± 0.09 ind. polyp−1 h−1, respectively. Mean capture
rates across chambers on consecutive days and delivered
prey levels did not differ significantly (Analysis of Deviance,
x2 = 1.73, P = 0.22 and x2 = 1.33, P = 0.30, respectively). Artemia developmental stages For the capture rate experiment, the average length of deliv-
ered Artemia nauplii was 508 ± 45 µm (instar I, 3 h post-har-
vest). For the ingestion experiment, Artemia were delivered
after 22 h post-harvest, as initial trials showed that all nauplii
had undergone a first molt into instar II nauplii at this time
with an average length of 735 ± 94 µm (Online Resource
1). Observations via fluorescence microscopy found that
Artemia instar II nauplii ingested fluorescent microbeads
and retained their gut contents 2 h post-rinsing, confirming
that the fluorescent markers were not lost through excretion
during the feeding trials. Galaxea fascicularis fragments had an average of 103 ± 5
polyps (Table 1). Mean G. fascicularis capture rates ranged
from 1 to 110 ind. polyp−1 h−1 in experiments performed
on consecutive days (Fig. 1c). The initial and final Arte-
mia counts in control chambers as well as initial Artemia
counts in control and experimental chambers did not dif-
fer significantly (t =− 0.75, df = 52, P = 0.5 and t =− 0.04,
df = 52, P = 0.96, respectively). Significantly fewer Artemia 1 3 Coral Reefs (2023) 42:931–943 936 (
)
hamber and genotype did not improve the model, however
dding in section as a random effect did (Car package R)
Table 2) (Fig. 2b). This is consistent with the observation Fig. 1 Relationship between capture rate and initial prey per polyp in
corals fed Artemia Instar I nauplii. The x- axis shows number of prey
items normalized to polyps per coral fragment (ind. polyp−1 h−1),
and the y-axis is the number of prey caught per polyp over an hour
from one coral within a chamber on any given day (ind. polyp−1). In
G. fascicularis trials (c) there was an interaction between day and
level on capture rates. The (*) shows an outlier where the day one
capture rate was 110, and day three capture rate was 13.5, from the
same coral fragment
▸ were counted for the final compared to the initial time point
for chambers containing G. fascicularis (t = 2.95, df = 67,
P < 0.005). Delivered prey density had a significant effect on
capture rates (Analysis of Deviance, x2 = 25.04, P = < 0.001)
and were found to be 16.15 ± 1.69, 26.16 ± 2.20, 43.67 ± 5.01
and 47.87 ± 9.56 ind. Experiment II: ingestion Dissection of coral polyps fed instar II Artemia nauplii with
fluorescent microbeads identified variation in prey ingestion
between coral species. For A. millepora, the total number of
polyps assessed over the 12 fragments was 477 with an aver-
age of 40 ± 2 polyps per fragment. Eight of 165 polyps (5%
of total polyps) from genotype A fragments had ingested
Artemia, with between 1 and 3 Artemia detected per polyp. Two of 150 polyps (1.3% of total polyps) from genotype
B fragments were detected to have ingested Artemia, with
2 Artemia detected per polyp. In contrast, 45 out of 162
polyps from genotype C fragments ingested Artemia, with
the number of Artemia ranging from 1 to 4 per polyp. The
fragments from genotype C were observed to have full polyp
extension at 10 min post-feed delivery and were noticeably
paler than the fragments sourced from other adult colonies. A negative binominal count regression model was found to
be the best fit for the A. millepora dataset. Genotype signifi-
cantly influenced the Artemia counts in dissected A. mille-
pora polyps (Analysis of Deviance, x2 = 15.6, P < 0.0005),
and there was also a significant interaction between genotype
and chamber (Analysis of Deviance, x2 = 29.8, P < 0.0005)
(Table 2) (Fig. 2a). Dissection of coral polyps fed instar II Artemia nauplii with
fluorescent microbeads identified variation in prey ingestion
between coral species. For A. millepora, the total number of
polyps assessed over the 12 fragments was 477 with an aver-
age of 40 ± 2 polyps per fragment. Eight of 165 polyps (5%
of total polyps) from genotype A fragments had ingested
Artemia, with between 1 and 3 Artemia detected per polyp. A negative binominal count regression model was found to
be the best fit for the A. millepora dataset. Genotype signifi-
cantly influenced the Artemia counts in dissected A. mille-
pora polyps (Analysis of Deviance, x2 = 15.6, P < 0.0005),
and there was also a significant interaction between genotype
and chamber (Analysis of Deviance, x2 = 29.8, P < 0.0005)
(Table 2) (Fig. 2a). For P. acuta, data were collected from 1443 polyps within
72 sections of 12 fragments, with an average of 3.3 ± 0.1
Artemia per polyp. A negative binomial mixed-effects
model with genotype and chamber as fixed effects was
found to be the best fit for the P. acuta dataset. Artemia developmental stages polyp−1 h−1 for initial Artemia densi-
ties of 1, 2, 4 and 8 ind. ml−1, respectively. Capture rates
were not influenced by day (Analysis of Deviance, x2 = 1.58,
P = 0.21), but there was a significant interaction between
day and delivered prey level indicating effects of an outlier
(Analysis of Deviance, x2 = 20.46, P = < 0.001). Capture
rates from a single G. fascicularis fragment in one chamber
equated to 110 on day one and 13.5 prey captured per polyp
on day three. 1 3 Discussion Most aquarium-based feeding studies have calculated coral
feeding rates from indirect capture rate methods (Petersen
et al. 2008; Osinga et al. 2012b; Tagliafico et al. 2018a). However, direct approaches, such as calculating ingestion
rates from prey enumerated in polyp dissections, produce
more accurate feeding rates and provide insights into how
prey is ingested across the entire coral (Sebens et al. 1998;
Kuanui et al. 2016). Ingested prey is often difficult to dif-
ferentiate from coral tissue, and visual markers are one way
of mitigating this constraint. Here, visualization of ingested
prey was achieved by incubating them with fluorescent
microbeads prior to feeding the corals. For G. fascicularis, strong auto-fluorescence in replicate
fragments taken from two out of the three adult colonies
(i.e., two out of three genotypes) prevented enumeration
of ingested prey because Artemia was unable to be distin-
guished from the coral tissue. However, in four replicate
fragments taken from a third adult colony (i.e., one geno-
type), Artemia was able to be enumerated without auto-flu-
orescence interfering. The average prey counts within these
replicate fragments were 75 ± 13 ind. polyp−1 h−1 (n = 20
polyps). Experiment II: ingestion Effects of chamber and genotype did not improve the model, however
adding in section as a random effect did (Car package R)
(Table 2) (Fig. 2b). This is consistent with the observation 1 3 1 3 Coral Reefs (2023) 42:931–943 937 Table 1 Summary of mean
surface area, polyp number
and capture rates of corals fed
Artemia instar I nauplii
a Individual corals were placed in triplicate chambers per prey concentration level (ind. ml−1) and fed over
three successive days
b Capture rates are expressed as Mean ± S.E
Speciesa
Surface area (cm2)
No. Polyps
Conc. of
nauplii (ind. ml −1)
Capture
rateb (ind. polyp−1 h−1)
cm −2
fragment −1
Acropora millepora
84 ± 4.5
46 ± 2.4
3844 ± 219
1
0.31 ± 0.08
2
0.57 ± 0.08
4
1.22 ± 0.13
Pocillopora acuta
153 ± 10
70 ± 2
10,762 ± 748
1
0.06 ± 0.02
2
0.06 ± 0.01
4
0.14 ± 0.09
Galaxea fascicularis
n/a
n/a
103 ± 5
1
16.15 ± 1.70
2
26.16 ± 2.20
4
43.67 ± 5.01
8
47.87 ± 9.56 Table 1 Summary of mean
surface area, polyp number
and capture rates of corals fed
Artemia instar I nauplii a Individual corals were placed in triplicate chambers per prey concentration level (ind. ml−1) and fed over
three successive days
b a Individual corals were placed in triplicate chambers per prey concentration level (ind. ml−1) and fed over
three successive days
b Capture rates are expressed as Mean ± S.E that Artemia were clumped within polyps and that polyps
closer together consumed similar numbers of Artemia prey. Artemia clusters were typically present in the polyps furthest
away from the fragment’s point of attachment to the ceramic
plug (Online Resource 2b). Comparison of capture and ingestion rates Results from the capture rate experiment suggest that differ-
ent coral species have varying abilities to capture delivered
Artemia salina instar I nauplii. The capture rates increased
with prey density level for A. millepora and P. acuta; how-
ever, for these coral species the trend was only significant
when capture rates were normalized to polyps per fragment. In contrast, for G. fascicularis, the delivered prey density
treatment was found to be a significant factor for Artemia
capture rate, without normalization based on polyp number. The fixed density levels were relatively similar (1–4 ind. ml−1), which partly explains why normalization was required
for the resulting capture rates to display significant differ-
ences. Our results confirm previous studies where capture
rates of Artemia by corals increased with higher initial prey
densities, normalized to polyps per fragment (Petersen et al. 2008; Osinga et al. 2012b; Tagliafico et al. 2018a). Further-
more, given the large number of polyps per A. millepora Both capture rates and ingestion rates were determined in
experiment II to enable direct comparison between these
two measures of coral feeding. When normalized to the
total number of polyps in the chamber (i.e., across three
fragments), the measured capture and ingestion rates dif-
fered significantly for A. millepora and P. acuta but were
similar for G. fascicularis (Fig. 3). For A. millepora, cap-
ture rates were higher than ingestion rates (tone-tail = 2.99,
df = 4, P < 0.05), while the opposite was seen for P. acuta
(tone-tail = − 14.84, df = 4, P < 0.0005). For G. fascicularis,
capture and ingestion rates were not significantly different
(tone-tail =− 0.83, df = 6, P = 0.21). For the latter coral spe-
cies, the measured rates were based on counts from only one
fragment per chamber due to tissue auto-fluorescence in the
fragments from the other two genotypes. 1 3 938 Coral Reefs (2023) 42:931–943 (x = 3844) and P. acuta (x = 10,762) fragments, satiation was
not reached at these low-density levels. Galaxea fascicularis has larger polyps and lower surface
area to volume ratios than the other coral species in this
study. G. fascicularis fragments in the capture rate experi-
ment had on average of 103 polyps per fragment, and the
delivered prey density was found to be a significant fac-
tor of Artemia capture rate. G. fascicularis is a fast-feeding
Fig. Fig. 2 Mean Artemia instar II
nauplii per (a) Acropora mille-
pora (n = 477) and (b) Pocillo-
pora acuta (n = 1443) polyps in
12 fragments from four feeding
chambers and three genotypes
(A, B, C). Significant effects of
genotype and chambers (“One,”
“Two,” “Three,” “Four”) on
the response variable, prey
nauplii counts were assessed per
species Comparison of capture and ingestion rates ml−1 are included from the
first experiment (Capture Rate
Experiment). Mean capture
rates and mean ingestion rates
from chambers delivered instar
II nauplii and 3 ind. ml−1 are
included from the second
experiment’s chambers (Inges-
tion Experiment). Significant
values adjusted from pairwise
Welch two-sample t tests to
account for unequal variance of
mean feeding rates per chamber. For Pocillopora acuta and Gal-
axea fascicularis, an additional
four chambers from experiment
2 pilot studies (*) were included
for this analysis Fig. 3 Cross-study and cross-
species comparison of mean
feeding rates in corals derived
from feeding chambers. Mean
capture rates from chambers
with initial instar I nauplii
prey counts of 3 ± 1.5 ind. ml−1 are included from the
first experiment (Capture Rate
Experiment). Mean capture
rates and mean ingestion rates
from chambers delivered instar
II nauplii and 3 ind. ml−1 are
included from the second
experiment’s chambers (Inges-
tion Experiment). Significant
values adjusted from pairwise
Welch two-sample t tests to
account for unequal variance of
mean feeding rates per chamber. For Pocillopora acuta and Gal-
axea fascicularis, an additional
four chambers from experiment
2 pilot studies (*) were included
for this analysis higher mean polyp counts per P. acuta fragments than A. millepora, calculated capture rates may not be a suitable
measure for the comparison. At a delivered Artemia den-
sity of 1 ind. ml−1 or less, A. millepora and P. acuta corals
in this study captured 0.31 ind. polyp−1 h−1 and 0.06 ind. polyp−1 h−1, respectively, similar to 0.13 ind. polyp−1 h−1
and 0.05 ind. polyp−1 h−1 corals reported by Kuanui et al. (2016). A study by Hoogenboom et al. (2015) reported
similar capture rates of Artemia nauplii delivered to
Acropora sp., as reported in this study, though in contrast
recorded higher capture rates for P.acuta at 188 nauplii
cm−2 h−1 (approx. 18 ind. polyp−1 h−1 based on average
polyp density per cm2 calculated here). The difference in
the P.acuta capture rates reported between studies could
be attributable to differences in experimental factors, such
as flow rates, recently shown to significantly affect prey
capture rates in Caribbean species (Geertsma et al. 2022). However, variable Artemia capture rates have previously
been documented for Pocillopora sp. with capture rates
from fragments within the same experiment varying signif-
icantly based on the collection location; thus, differences
could also be attributed to feeding variability between
Pocillopora spp. or genotypes. (Kuanui et al. 2016). Comparison of capture and ingestion rates higher mean polyp counts per P. acuta fragments than A. millepora, calculated capture rates may not be a suitable
measure for the comparison. At a delivered Artemia den-
sity of 1 ind. ml−1 or less, A. millepora and P. acuta corals
in this study captured 0.31 ind. polyp−1 h−1 and 0.06 ind. polyp−1 h−1, respectively, similar to 0.13 ind. polyp−1 h−1
and 0.05 ind. polyp−1 h−1 corals reported by Kuanui et al. (2016). A study by Hoogenboom et al. (2015) reported
similar capture rates of Artemia nauplii delivered to
Acropora sp., as reported in this study, though in contrast
recorded higher capture rates for P.acuta at 188 nauplii
cm−2 h−1 (approx. 18 ind. polyp−1 h−1 based on average
polyp density per cm2 calculated here). The difference in
the P.acuta capture rates reported between studies could
be attributable to differences in experimental factors, such
as flow rates, recently shown to significantly affect prey
capture rates in Caribbean species (Geertsma et al. 2022). However, variable Artemia capture rates have previously
been documented for Pocillopora sp. with capture rates
from fragments within the same experiment varying signif-
icantly based on the collection location; thus, differences
could also be attributed to feeding variability between
Pocillopora spp. or genotypes. (Kuanui et al. 2016). capture rates across our three experimental species are con-
sistent with other aquarium-based studies. For example,
fast-feeding corals, such as G. fascicularis and Duncanop-
sammia axifuga, have been observed to consume over one
hundred Artemia nauplii per polyp compared to autotrophic
dominant, smaller polyp corals, such as A. millepora, or H. rigida, which may consume one nauplii per every ten polyps
at the same prey densities (Kuanui et al. 2016; Tagliafico
et al. 2018a). In the capture rate experiment, the lower mean cap-
ture rates per delivered prey treatments (1, 2 and 4 ind. ml−1), observed in P. acuta trials as compared to A. mille-
pora trials, was unexpected. Pocillopora spp. have been
documented to consume significantly more Artemia instar
I nauplii than Acropora spp. (Latyshev et al. 1991; Toh
et al. 2013; Hoogenboom et al. 2015; Conlan et al. 2018;
Geertsma et al. 2022). However, true P. acuta capture rates
in this experiment were likely higher than calculated due
to prey capture occurring between the time of delivery,
and before initial counts were made five minutes later. Comparison of capture and ingestion rates 2 Mean Artemia instar II
nauplii per (a) Acropora mille-
pora (n = 477) and (b) Pocillo-
pora acuta (n = 1443) polyps in
12 fragments from four feeding
chambers and three genotypes
(A, B, C). Significant effects of
genotype and chambers (“One,”
“Two,” “Three,” “Four”) on
the response variable, prey
nauplii counts were assessed per
species
Table 2 Analysis of Deviance table for the best fit fixed and mixed
effect models of the number of Artemia salina instar II nauplii
ingested by Acropora millepora and Pocillopora acuta
× 2
df
p valuea
Acropora millepora
Genotype
15.6
2
< 0.0005 ***
Chamber
2.05
3
0.56
G
h
b
29 8
6
0 0005*** (x = 3844) and P. acuta (x = 10,762) fragments, satiation was
not reached at these low-density levels. Table 2 Analysis of Deviance table for the best fit fixed and mixed
effect models of the number of Artemia salina instar II nauplii
ingested by Acropora millepora and Pocillopora acuta Galaxea fascicularis has larger polyps and lower surface
area to volume ratios than the other coral species in this
study. G. fascicularis fragments in the capture rate experi-
ment had on average of 103 polyps per fragment, and the
delivered prey density was found to be a significant fac-
tor of Artemia capture rate. G. fascicularis is a fast-feeding
coral which requires high numbers of Artemia for satiation
(Osinga et al. 2012b; Tagliafico et al. 2018a), and, except for
one fragment that consumed a mean 110 ind. polyp−1 h−1 on
day one and 13.5 ind. polyp−1 h−1 on day three, satiation was
not observed here (see Fig. 1c). The differences in Artemia a Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘’ 1
× 2
df
p valuea
Acropora millepora
Genotype
15.6
2
< 0.0005 ***
Chamber
2.05
3
0.56
Genotype x chamber
29.8
6
< 0.0005***
Pocillopora acuta
Genotype
4.54
2
0.1
Chamber
2.83
3
0.4
Genotype x chamber
7.29
6
0.3 1 939 Coral Reefs (2023) 42:931–943 (
)
capture rates across our three experimental species are con-
sistent with other aquarium-based studies. For example,
fast-feeding corals, such as G. fascicularis and Duncanop-
sammia axifuga, have been observed to consume over one
hundred Artemia nauplii per polyp compared to autotrophic
dominant, smaller polyp corals, such as A. millepora, or H. Comparison of capture and ingestion rates rigida, which may consume one nauplii per every ten polyps
at the same prey densities (Kuanui et al. 2016; Tagliafico
et al. 2018a). In the capture rate experiment, the lower mean cap-
ture rates per delivered prey treatments (1, 2 and 4 ind. ml−1), observed in P. acuta trials as compared to A. mille-
pora trials, was unexpected. Pocillopora spp. have been
documented to consume significantly more Artemia instar
I nauplii than Acropora spp. (Latyshev et al. 1991; Toh
et al. 2013; Hoogenboom et al. 2015; Conlan et al. 2018;
Geertsma et al. 2022). However, true P. acuta capture rates
in this experiment were likely higher than calculated due
to prey capture occurring between the time of delivery,
and before initial counts were made five minutes later. This is suggested by significantly fewer Artemia counted
in initial prey counts from experimental chambers than
in control chambers. Additionally, given the significantly
higher mean polyp counts per P. acuta fragments than A. millepora, calculated capture rates may not be a suitable
measure for the comparison. At a delivered Artemia den-
sity of 1 ind. ml−1 or less, A. millepora and P. acuta corals
in this study captured 0.31 ind. polyp−1 h−1 and 0.06 ind. polyp−1 h−1, respectively, similar to 0.13 ind. polyp−1 h−1
and 0.05 ind. polyp−1 h−1 corals reported by Kuanui et al. (2016). A study by Hoogenboom et al. (2015) reported
similar capture rates of Artemia nauplii delivered to
Acropora sp., as reported in this study, though in contrast
recorded higher capture rates for P.acuta at 188 nauplii
cm−2 h−1 (approx. 18 ind. polyp−1 h−1 based on average
polyp density per cm2 calculated here). The difference in
the P.acuta capture rates reported between studies could
be attributable to differences in experimental factors, such
as flow rates, recently shown to significantly affect prey
capture rates in Caribbean species (Geertsma et al. 2022). However, variable Artemia capture rates have previously
been documented for Pocillopora sp. with capture rates
from fragments within the same experiment varying signif-
icantly based on the collection location; thus, differences
could also be attributed to feeding variability between
Pocillopora spp. or genotypes. (Kuanui et al. 2016). Fig. 3 Cross-study and cross-
species comparison of mean
feeding rates in corals derived
from feeding chambers. Mean
capture rates from chambers
with initial instar I nauplii
prey counts of 3 ± 1.5 ind. Comparison of capture and ingestion rates This is suggested by significantly fewer Artemia counted
in initial prey counts from experimental chambers than
in control chambers. Additionally, given the significantly 1 3 940 Coral Reefs (2023) 42:931–943 from the adult colony, would similarly need to consume
more prey. Alternatively, polyps within the tips may benefit
from higher surface area exposed to prey, increasing chances
of an encounter. This clumped distribution pattern of prey
ingestion cannot be observed by capture rate methods, which
assume an even consumption of prey by polyps across a
fragment, yet this observation has important implications. For example, it may be important to maximize the number
of branch tips that have unrestricted exposure to the water
column and maximize the vertical height of each fragment
when arranging and attaching P. acuta fragments to a sub-
strate in aquaculture. Regardless, studies repeatedly show that Pocillopora spp. readily feed and derive physiological benefits from Arte-
mia as compared to unfed counterparts (Raymundo &
Maypa 2004; Toh et al. 2013; Huang et al. 2020). In general, capture rates estimated using the initial prey
density per milliliter of seawater result in inconsistent
measures across studies. For example, capture rate calcula-
tions of G. fasicularis delivered Artemia instar I nauplii at
2 ind. ml−1 produced rates of 9 ind. polyp−1 h−1 (Osinga
et al. 2008), 26 ind. polyp−1 h−1 (this study) and 51 ind. polyp−1 h−1 (Ferrier-Pages et al. 2010). Similarly, when
prey was delivered at 4 ind. ml−1, capture rates recorded
in this study were 44 ind. polyp−1 h−1 compared to 93 ind. polyp−1 h−1 in a study by Wijgerde et al. (2011). However,
normalizing the initial prey densities to the individual unit
of the polyp results in more consistent capture rates across
studies. For example, the capture rate calculated for G. fasicularis delivered Artemia instar I nauplii at a density of
between 40 and 100 ind. polyp−1, fell between 10 and 70 ind. polyp−1 h−1 in this study, which is consistent with capture
rates of 15 and 75 ind. polyp−1 h−1 by G. fascicularis in a
different study, using the same initial density range (Osinga
et al. 2012b). Delivered prey density does significantly affect
capture rate calculations, though normalizing prey densities
to individuals per polyp are likely to produce more compara-
ble results across studies looking at multiple species (Online
Resource 3). Comparison of capture and ingestion rates This study further highlights that factors such as geno-
type and environmental conditions can influence ingestion
rates. Here, this was particularly apparent for A. millepora,
with two of the three A. millepora genotypes not displaying
feeding responses such as extended tentacles. In these two
genotypes, few dissected polyps (10 out of 315) contained
ingested prey. In contrast, 45 out of 162 polyps from the
third genotype (genotype ’C’ in Fig. 2a) contained ingested
prey although the proportion of polyps with and without
prey varied between fragments, likely explaining the signifi-
cant interaction between genotype and chamber on Artemia
counts. Notably, this third genotype contained fragments that
were visually paler, indicating a possible stress response. Additionally, these A.millepora fragments were the only
ones observed to have fully extended tentacles at 10 min
post-delivery. Stressed corals displaying bleaching signs
may compensate for lowered autotrophic energetic acquisi-
tion through increasing heterotrophic feeding (Hughes &
Grottoli 2013). Increased assimilation of heterotrophic car-
bon has been observed in bleached Montipora capitata and
Porites lobata compared to unbleached controls (Hughes &
Grottoli 2013), and a similar mechanism may be at play here. Low feeding rates of Acropora spp. on Artemia instar I nau-
plii have been postulated to be due to their higher depend-
ence on autotrophic carbon and small polyp size (Tagliafico
et al. 2018a, b). By this reasoning, A. millepora corals would
be less capable of ingesting larger instar II nauplii. Our
results indicate that, although possible for A. millepora to
consume the larger Artemia instar II nauplii, ingestion rates
are variable and depend on complex genotype and holobiont
health factors, such as the need to compensate for lost nutri-
tion during times of stress. Use of visual tools to assess prey ingestion Determining the ingestion rate of Artemia through gut dis-
sections facilitated by fluorescent markers provides a more
accurate assessment of feeding. This study confirmed that
different coral species have different feeding rates on the
same prey (A. millepora, 0.2; P. acuta 3.5; G. fascicularis,
75 ind. polyp−1 h−1 at 3 ind. ml−1) and showed species-spe-
cific patterns in how prey is ingested across the fragment,
such as the non-homogenous distribution of ingested prey
between polyps observed in P. acuta. Pocillopora acuta fragments had clusters of ingested prey
in polyps located in the branch tips, and fewer clusters were
found in polyps near the point of adhesion to the coral plug,
although the mean number of prey ingested per polyp did
not differ across replicate fragments. Previous studies have
demonstrated that polyps in different colony branch posi-
tions exhibit significantly different nutritional profiles with
high-energy nutrients catabolized more readily at the edges
of colonies, such as branch tips (Conlan et al. 2018). A simi-
lar mechanism could be at play in the P. acuta fragments,
where the polyps at the tips need to consume more prey to
meet the higher nutritional demands of proliferating cells. However, if this were the case, actively growing polyps at
the base of the fragment, adjacent to the site of excision References Anthony KRN, Fabricius KE (2000) Shifting roles of heterotrophy and
autotrophy in coral energetics under varying turbidity. J Exp Mar
Biol Ecol 2:221–253 Understanding species-specific feeding behavior and
the amount of prey corals ingest is critically important
for the development of improved feeding regimes in coral
aquaculture. We recommend that future coral feeding stud-
ies utilize visual markers to assess feeding rates in corals
fed live prey items. The potential health benefit derived
from enriching live feeds depends on the ability of a coral
to capture, ingest, digest and furthermore, assimilate nutri-
ents from the feed. Therefore, this approach is particularly
suitable for live feeds that are also suitable for nutritional
enrichment. Here, we were able to confirm and compare
the capture and ingestion rates of Artemia salina nauplii
using fluorescent microbeads allowing for the direct detec-
tion of prey within individual polyps which allowed stand-
ardization across studies and comparison between coral
species. Corals possess diverse feeding strategies, physi-
ologies and varying degrees of reliance on autotrophic and
heterotrophic nutrient acquisition pathways as seen in here
and other studies. Future studies could expand the proto-
cols established herein to assess feeding abilities and prey
preferences to cater to the nutritional needs of different
corals and develop appropriate nutritional supplementation
regimes, required for the expansion of coral aquaculture. Barton JL, Willis B, Hutson K (2015) Coral propagation: A review of
techniques for ornamental trade and reef restoration. Rev Aquac
22:1–19 Borneman E (2009) Aquarium corals: selection, husbandry, and natural
history. TFH Publications, New Jersey, USA Bott R (2014) Brock biology of microorganisms. Pearson Education
Limited, Londoni Brafield AE, Llewellyn MJ (1982) Animal energetics. Springer, New
York Conlan JA, Bay LK, Severati A, Humphrey C, Francis DS (2018) Com-
paring the capacity of five different dietary treatments to optimise
growth and nutritional composition in two scleractinian corals. PLoS ONE. https://doi.org/10.1371/journal.pone.0207956 Conti-Jerpe IE, Thompson PD, Wong CWM, Oliveira NL, Duprey NN,
Moynihan MA, Baker DM (2020) Trophic strategy and bleach-
ing resistance in reef-building corals. Sci Adv. https://doi.org/10.
1126/sciadv.aaz5443i Ekonomou G, Lolas A, Castritsi-Catharios J, Neofitou C, Zouganelis
G, Tsiropoulos N, Exadactylos A (2019) Mortality and Effect on
growth of artemia franciscana exposed to two common organic
pollutants. Water. https://doi.org/10.3390/w11081614 Ezzat L, Towle E, Irisson JO, Langdon C, Ferrier-Pagès C (2016) The
relationship between heterotrophic feeding and inorganic nutrient
availability in the scleractinian coral T. reniformis under a short-
term temperature increase. Declarations Conflict of interest On behalf of all authors, the corresponding au-
thor states that there is no conflict of interest. Open Access This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing, adap-
tation, distribution and reproduction in any medium or format, as long
as you give appropriate credit to the original author(s) and the source,
provide a link to the Creative Commons licence, and indicate if changes
were made. The images or other third party material in this article are
included in the article’s Creative Commons licence, unless indicated
otherwise in a credit line to the material. If material is not included in
the article’s Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will
need to obtain permission directly from the copyright holder. To view a
copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Development of feeding assessment methods Because the auto-fluorescence overlapped with the signal
emitted from the microbeads, it obscured differentiation
between ingested prey and coral tissue and therefore pre-
vented accurate counts of ingested prey. These observa-
tions highlight the need to select markers that maximize
contrast with auto-fluorescent pigments present in the
coral species and genotypes under study. Funding Open Access funding enabled and organized by CAUL and
its Member Institutions. Development of feeding assessment methods Whereas the capture rate approach is a quick and effi-
cient metric, a coral’s feeding behavior can influence the
efficacy of this assessment method. In this study, capture
and ingestion rates were calculated from the same feed-
ing event enabling side-by-side comparison, with the
mean values calculated by the two approaches differing 3 3 941 Coral Reefs (2023) 42:931–943 significantly for A. millepora and P. acuta. For A. mille-
pora, secretion of high volumes of mucus, which capture
and cause agglomeration of Artemia (Huettel et al. 2006;
Naumann et al. 2009), could explain why the calculated
capture rates were significantly higher than the ingestion
rates. In contrast, P. acuta capture rates were lower than
ingestion calculations, though the reason for this pattern
is unclear. It may be associated with uneven distribution
of feeding polyps across the colony, resulting in a bias
dependent on which polyps were chosen to be dissected. For G. fascicularis, there was no significant difference
between the capture rate and ingestion rate calculations. This could be related to the low sample size for the inges-
tion rate calculations resulting from the high auto-fluores-
cent tissues of two of the three G. fascicularis genotypes. Because the auto-fluorescence overlapped with the signal
emitted from the microbeads, it obscured differentiation
between ingested prey and coral tissue and therefore pre-
vented accurate counts of ingested prey. These observa-
tions highlight the need to select markers that maximize
contrast with auto-fluorescent pigments present in the
coral species and genotypes under study.i significantly for A. millepora and P. acuta. For A. mille-
pora, secretion of high volumes of mucus, which capture
and cause agglomeration of Artemia (Huettel et al. 2006;
Naumann et al. 2009), could explain why the calculated
capture rates were significantly higher than the ingestion
rates. In contrast, P. acuta capture rates were lower than
ingestion calculations, though the reason for this pattern
is unclear. It may be associated with uneven distribution
of feeding polyps across the colony, resulting in a bias
dependent on which polyps were chosen to be dissected. For G. fascicularis, there was no significant difference
between the capture rate and ingestion rate calculations. This could be related to the low sample size for the inges-
tion rate calculations resulting from the high auto-fluores-
cent tissues of two of the three G. fascicularis genotypes. References Limnol Oceanogr. https://doi.org/10.
1002/lno.10200 Ferrier-Pages C, Rottier C, Beraud E, Levy O (2010) Experimental
assessment of the feeding effort of three scleractinian coral species
during a thermal stress: Effect on the rates of photosynthesis. J
Exp Mar Biol Ecol 390:118–124 Acknowledgements This study was made possible by grants pro-
vided by AIMS@JCU, the College of Science and Engineering at
James Cook University and in-kind support from the National Sea
Simulator at the Australian Institute of Marine Science. Furthermore,
we would like to thank the National Sea Simulator personnel, Tom
Barker, Loni Koukoumaftsis and Andrea Severati and volunteer, Nata-
lia Robledo, for technical assistance and support. Lastly, Rhondda
Jones is thanked for her assistance with statistical analyses. Geertsma RC, Wijgerde T, Latijnhouwers KRW, Chamberland VF
(2022) Onset of zooplanktivory and optimal water flow rates for
prey capture in newly settled polyps of ten Caribbean coral spe-
cies. Coral Reefs 41:1651–1664 Goulden EF, Hall MR, Bourne DG, Pereg LL, Høj L (2012) Patho-
genicity and infection cycle of Vibrio owensii in larviculture of 1 3 942 Coral Reefs (2023) 42:931–943 the ornate spiny lobster (Panulirus ornatus). Appl Environ Micro-
biol 78:2841–2849 pelagic–benthic coupling in the reef ecosystem. Mar Ecol Prog
Ser 385:65–76fifi Osinga R, Schutter M, Griffioen B, Wijffels RH, Verreth JAJ, Shafir S,
Henard S, Taruffi M, Gili C, Lavorano S (2011) The biology and
economics of coral growth. Mar Biotechnol 13:658–671i Hall NM, Berry KLE, Rintoul L, Hoogenboom MO (2015) Micro-
plastic ingestion by scleractinian corals. Mar Biol 162:725–732 Hii YS, Soo CL, Liew HC (2009) Feeding of scleractinian coral, Gal-
axea fascicularis, on Artemia salina nauplii in captivity. Aquac
Int 17:363–376 Osinga R, Schutter M, Wijgerde T, Rinkevich B, Shafir S, Shpigel M,
Marco Luna G, Danovaro R, Bongiorni L, Deutsch A, Kücken M,
Hiddinga B, Janse M, McLeod A, Gili C, Lavorano S, Henard S,
Barthelemy D, Westhoff G, Laterveer M (2012a) The CORAL-
ZOO project: A synopsis of four years of public aquarium science. Mar Biol Assoc UK 92:753–768 Hoogenboom M, Rodolfo-Metalpa R, Ferrier-Pagès C (2010) Co-var-
iation between autotrophy and heterotrophy in the Mediterranean
coral Cladocora caespitosa. J Exp Biol 14:2399–2409 Hoogenboom M, Rottier C, Sikorski S, Ferrier-Pagès C (2015)
Among-species variation in the energy budgets of reef-building
corals: scaling from coral polyps to communities. References J Exp Biol
218:3866–3877 Osinga R, Van Delft S, Lewaru M, Janse M, Verreth J (2012b) Determi-
nation of prey capture rates in the stony coral Galaxea fascicularis:
a critical reconsideration of the clearance rate concept. Mar Biol
Assoc UK 92:713–719 Horn D, Miller M, Anderson S, Steele C (2019) Microplastics are
ubiquitous on California beaches and enter the coastal food web
through consumption by Pacific mole crabs. Mar Pollut Bull
139:231–237 Osinga R, Charko F, Cruzeiro C, Janse M, Grymonpre D, Sorgeloos, P
(2008) Feeding corals in captivity: uptake of four Artemia - based
feeds by Galaxea fascicularis. In: Proceeding 11th international
coral reef symptoms 1: 149–153 Houlbrèque F, Tambutté E, Allemand D, Ferrier-Pagès C (2004a) Inter-
actions between zooplankton feeding, photosynthesis and skeletal
growth in the scleractinian coral Stylophora pistillata. J Exp Biol
207:1461–1469 Palardy JE, Rodrigues LJ, Grottoli AG (2008) The importance of
zooplankton to the daily metabolic carbon requirements of
healthy and bleached corals at two depths. J Exp Mar Biol Ecol
367(2):180–188. https://doi.org/10.1016/j.jembe.2008.09.015lf Houlbrèque F, Tambutté E, Richard C, Ferrier-Pagès C (2004b) Impor-
tance of a micro-diet for scleractinian corals. Mar Ecol Prog Ser
282:151–160 Petersen D, Wietheger A, Laterveer M (2008) Influence of differ-
ent food sources on the initial development of sexual recruits
of reefbuilding corals in aquaculture (vol 277, pg 174, 2008). Aquaculture 277:174–178 Houlbreque F, Ferrier-Pagès C (2009) Heterotrophy in tropical scler-
actinian corals. Biol Rev Camb Philos Soc 84:1–17if Popielarski SR, Pun SH, Davis ME (2005) A nanoparticle-based model
delivery system to guide the rational design of gene delivery to the
liver. 1. Synth Charact Bioconjug Chem 16:1063–1070 Huang YL, Mayfield AB, Fan TY (2020) Effects of feeding on the
physiological performance of the stony coral Pocillopora acuta. Sci Rep. https://doi.org/10.1038/s41598-020-76451-1 Huettel M, Wild C, Gonelli S (2006) Mucus trap in coral reefs: Forma-
tion and temporal evolution of particle aggregates caused by coral
mucus. Mar Ecol Prog Ser 307:69–84 Raymundo LJ, Maypa AP (2004) Getting bigger faster: Mediation of
size-specific mortality via fusion in juvenile coral transplants. Ecol Appl 14:281–295 Hughes AD, Grottoli AG (2013) Heterotrophic compensation: a pos-
sible mechanism for resilience of coral reefs to global warming or
a sign of prolonged stress? PLoS ONE. References https://doi.org/10.1371/
journal.pone.0081172 Sebens KP, Grace SP, Helmuth B, Maney EJ, Miles JS (1998) Water
flow and prey capture by three scleractinian corals, Madracis mira-
bilis, Montastrea cavernoss and Porites porites in a field enclosure. Mar Biol 131:347–360 Setälä O, Fleming-Lehtinen V, Lehtiniemi M (2014) Ingestion and
transfer of microplastics in the planktonic food web. Environ Pol-
lut 185:77–83 Hughes AD, Grottoli AG, Pease TK, Matsui Y (2010) Acquisition and
assimilation of carbon in non-bleached and bleached corals. Mar
Ecol Prog Ser 420:91–101 Kuanui P, Chavanich S, Viyakarn V, Park HS, Omori M (2016) Feed-
ing behaviors of three tropical scleractinian corals in captivity. Tropical Zoology 29:1–9f Sheridan C, Kramarsky-Winter E, Sweet M, Kushmaro A, Leal MC
(2013) Diseases in coral aquaculture: causes, implications and
preventions. Aquaculture 396:124–135 p
gy
Kumar GR, Babu DE (2015) Effect of light, temperature and salinity on
the growth of Artemia. Int J Eng Sci Invention 4:7–14 Smith JN, Strahl J, Noonan SHC, Schmidt GM, Richter C, Fabricius
KE (2016) Reduced heterotrophy in the stony coral Galaxea fas-
cicularis after life-long exposure to elevated carbon dioxide. Sci
Rep. https://doi.org/10.1038/srep27019i Latyshev NA, Naumenko NV, Svetashev VI, Latypov YY (1991) Fatty-
acids of reef building corals. Mar Ecol Prog Ser 76:295–301 Leal MC, Ferrier-Pagès C, Petersen D, Osinga R (2016) Coral aqua-
culture: applying scientific knowledge to ex situ production. Rev
Aquac 8:136–153 Tagliafico A, Rangel S, Kelaher B, Christidis L (2018a) Optimizing
heterotrophic feeding rates of three commercially important scle-
ractinian corals. Aquaculture 483:96–101if Lee IS, Ohs CL, Broach JS, DiMaggio MA, Watson CA (2018) Deter-
mining live prey preferences of larval ornamental marine fish uti-
lizing fluorescent microspheres. Aquaculture 490:125–135 Tagliafico A, Rangel S, Kelaher B, Scheffers S, Christidis L (2018b) A
new technique to increase polyp production in stony coral aquaculture
using waste fragments without polyps. Aquaculture 484:303–308 l
Madden CJ, Tupone D, Cano G, Morrison SF (2013) α2 adrenergic
receptor-mediated inhibition of thermogenesis. J Neurol Sci
33:2017–2028 Toh TC, Peh JWK, Chou LM (2013) Heterotrophy in recruits of the
scleractinian coral Pocillopora damicornis. Mar Freshw Behav
Physiol 46:313–320f Miller ME, Hamann M, Kroon FJ (2020) Bioaccumulation and bio-
magnification of microplastics in marine organisms: a review and
meta-analysis of current data. PLoS ONE. https://doi.org/10.1371/
journal.pone.0240792 Trager G, Achituv Y, Genin A (1994) Effects of prey escape ability,
flow speed, and predator feeding mode on zooplankton capture by
barnacles. Wijgerde T, Diantari R, Lewaru MW, Verreth JAJ, Osinga R (2011)
Extracoelenteric zooplankton feeding is a key mechanism of nutri-
ent acquisition for the scleractinian coral Galaxea fascicularis. J
Exp Biol 214:3351–3357 p
Xu J, Jia H, Cui G, Tong H, Wei J, Shao D, Liu K, Qiu Y, Li B, Ma Z
(2018) ICEAplChn1, a novel SXT/R391 integrative conjugative References Mar Biol 120:251–259 Veal CJ, Carmi M, Fine M, Hoegh-Guldberg O (2010) Increasing the
accuracy of surface area estimation using single wax dipping of
coral fragments. Coral Reefs 29:893–897 Naumann M, Richter C, El-Zibdah M, Wild C (2009) Coral mucus as
an efficient trap for picoplanktonic cyanobacteria: implications for 1 3 943
Coral Reefs (2023) 42:931–943
Wijgerde T, Diantari R, Lewaru MW, Verreth JAJ, Osinga R (2011)
Extracoelenteric zooplankton feeding is a key mechanism of nutri-
ent acquisition for the scleractinian coral Galaxea fascicularis. J
Exp Biol 214:3351–3357
Xu J, Jia H, Cui G, Tong H, Wei J, Shao D, Liu K, Qiu Y, Li B, Ma Z
(2018) ICEAplChn1, a novel SXT/R391 integrative conjugative
element (ICE), carrying multiple antibiotic resistance genes in
Actinobacillus pleuropneumoniae. Vet Microbiol 220:18–23
Publisher’s Note Springer Nature remains neutral with regard to
jurisdictional claims in published maps and institutional affiliations. Coral Reefs (2023) 42:931–943 943 element (ICE), carrying multiple antibiotic resistance genes in
Actinobacillus pleuropneumoniae. Vet Microbiol 220:18–23 Publisher’s Note Springer Nature remains neutral with regard to
jurisdictional claims in published maps and institutional affiliations. 1 3 1 3 3
|
https://openalex.org/W2053052032
|
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0073633&type=printable
|
English
| null |
Restoration of the Normal Splicing Pattern of the PLP1 Gene by Means of an Antisense Oligonucleotide Directed against an Exonic Mutation
|
PloS one
| 2,013
|
cc-by
| 5,639
|
Introduction Pelizaeus–Merzbacher disease (PMD, MIM #312080) and X-
linked paraplegia type 2 (SPG2, MIM #312920) are allelic
hypomyelinating leukodystrophies caused by mutations in the
PLP1 gene (MIM #300401). The resulting clinical phenotypes
vary quite widely, ranging from the most severe connatal
phenotype, presenting at birth with nystagmus, severe
spasticity and hypotonia, to relatively mild cases of paraplegia
without mental retardation [1]. Despite their abundance in CNS myelin, myelination occurs
in knockout mice lacking the Plp1 gene, even though the
myelin produced exhibits reduced physical stability [5]. In
similar vein, male PMD patients harbouring a complete PLP1
gene deletion are relatively mildly affected [1]. However, male
PMD patients with a duplication of the PLP1 gene exhibit a
more severe phenotype, with severity increasing in the rarer
PMD patients with three or five PLP1 gene copies [6]. Point
mutations can give rise to a wide range of PMD/SPG2
phenotypes, the most severe being those that impair PLP and
DM20 folding and transport [7], whilst mutations with a limited
impact on PLP/DM20 protein structure are predicted to lead to
milder phenotypes. Among these mild mutations are those that
are located in exon 3B and which therefore involve PLP but not
DM20 [3]. Duplication of a region of chromosome Xq22.2 containing the
PLP1 gene is the most frequent gene defect reported in PMD
(60-70% of cases). The complete deletion of the gene has
been reported only rarely as a cause of PMD/SPG2, while point
mutations have been identified in 20% of cases [2]. The PLP1
gene, which is mainly expressed in oligodendrocytes, encodes
a 4-pass transmembrane protein, termed PLP, which is the
most abundant protein in the myelin sheaths of the central
nervous system (CNS) [3]. A shorter protein isoform, DM20,
which lacks 35 amino acids from an intracellular domain, is
however generated by alternative splicing of the same primary
PLP1 gene transcript. Two competing 5’ donor splice sites,
residing within the 3’ portion of exon 3 (commonly termed exon
3B) are responsible for the alternative splicing [4]. The We previously reported a mildly affected PMD patient with a
c.436C>G mutation located in exon 3B, and demonstrated that
this mutation, which would be expected to substitute leucine at
residue 146 with a valine (p.L146V), resulted instead in the loss
of the PLP isoform [8]. Stefano Regis1, Fabio Corsolini1, Serena Grossi1, Barbara Tappino1, David N. Cooper2, Mirella Filocamo1* Stefano Regis1, Fabio Corsolini1, Serena Grossi1, Barbara Tappino1, David N. Cooper2, Mirella Filocamo1* g
1 Centro di Diagnostica Genetica e Biochimica delle Malattie Metaboliche, Istituto G. Gaslini, Genova, Italy, 2 Institute of Medical Genetics, School of Medicine,
Cardiff University, Cardiff, United Kingdom 1 Centro di Diagnostica Genetica e Biochimica delle Malattie Metaboliche, Istituto G. Gaslini, Genova, Italy, 2 Institute of Medical Genetics, School of Medicine,
Cardiff University, Cardiff, United Kingdom Abstract An exonic missense mutation, c.436C>G, in the PLP1 gene of a patient affected by the hypomyelinating
leukodystrophy, Pelizaeus–Merzbacher disease, has previously been found to be responsible for the alteration of the
canonical alternative splicing profile of the PLP1 gene leading to the loss of the longer PLP isoform. Here we show
that the presence of the c.436C>G mutation served to introduce regulatory motifs that appear to be responsible for
the perturbed splicing pattern that led to loss of the major PLP transcript. With the aim of disrupting the interaction
between the PLP1 splicing regulatory motifs and their cognate splicing factors, we designed an antisense
oligonucleotide-based in vitro correction protocol that successfully restored PLP transcript production in
oligodendrocyte precursor cells. Citation: Regis S, Corsolini F, Grossi S, Tappino B, Cooper DN, et al. (2013) Restoration of the Normal Splicing Pattern of the
Antisense Oligonucleotide Directed against an Exonic Mutation. PLoS ONE 8(9): e73633. doi:10.1371/journal.pone.0073633 Editor: Ralf Krahe, University of Texas MD Anderson Cancer Center, United States of America Editor: Ralf Krahe, University of Texas MD Anderson Cancer Center, United States of America Received February 25, 2013; Accepted July 30, 2013; Published September 3, 2013 Copyright: © 2013 Regis et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This work was supported by grants from the Italian Health Department ‘Finanziamento Cinque per mille e Ricerca Corrente’ and FP7-HEALTH,
LeukoTreat no.241622. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors have declared that no competing interests exist. Funding: This work was supported by grants from the Italian Health Department ‘Finanziamento Cinque per mille e Ricerca Corrente’ and FP7-HEALTH,
LeukoTreat no.241622. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors have declared that no competing interests exist. * E-mail: mirellafilocamo@ospedale-gaslini.ge.it biological roles of the PLP/DM20 proteins remain to be
clarified. Restoration of the Normal Splicing Pattern of the PLP1
Gene by Means of an Antisense Oligonucleotide Directed
against an Exonic Mutation Stefano Regis1, Fabio Corsolini1, Serena Grossi1, Barbara Tappino1, David N. Cooper Stefano Regis1, Fabio Corsolini1, Serena Grossi1, Barbara Tappino1, David N. Cooper2, Mirella Filocamo1* Introduction Although none of the regulatory splice
sites known to be involved in PLP/DM20 alternative splicing
regulation [9–11] was directly altered by the mutation, 1 PLOS ONE | www.plosone.org September 2013 | Volume 8 | Issue 9 | e73633 Oligonucleotide-Mediated Splicing Restoration CGCGGGCCCTCTAGACTCGA -3’, according to Grossi et al. [8]. RT-PCR from non-specifically primed reverse transcription
reactions was performed using both minigene-specific primers
31GF: 5’- TGATTTCAGCCGCGCTGTACTGG-3’ and LACT2R
[8]. computational analysis suggested that c.436C>G leads to the
acquisition of exon splicing silencer (ESS) motifs [8]. In the
present report, we have extended this analysis by identifying
several splicing regulatory motifs created by the c.436C>G
mutation. In vitro experimentation subsequently confirmed the
predictions of the in silico hypotheses and suggested the
therapeutic potential of a specific antisense oligonucleotide to
correct the splicing defect by blocking the splicing regulatory
motifs. To evaluate PLP transcript expression in morpholino-treated
Oli-neu cells transfected with the mutant plasmid construct, we
performed real-time PCR on cDNA reverse transcribed from
LACT2R-primed RNA using a PLP transcript-specific primer-
TaqMan probe set encompassing PLP1 exons 3 and 4 (P2),
and a PLP/DM20 transcripts-specific primer-TaqMan probe set
encompassing PLP1 exons 2 and 3 (P23B). Set P2 was used
as target, whereas set P23B was used as a reference [8]. Using this experimental approach, we were able to derive the
PLP/(DM20+PLP) ratio for cells treated with the morpholino
antisense oligonucleotide. cDNA samples, reverse transcribed
from LACT2R-primed RNAs, were run in quadruplicate, each
well containing the cDNA obtained from 10 ng RNA. A plasmid
containing the cDNA corresponding to PLP transcript isoform
was used to generate the standard curves for the P2 and the
P23B amplicons, respectively. Standards were run in duplicate. Standard wells contained 10-2, 10-3, 10-4, 10-5, 10-6 and 10-7
ng/µl plasmid DNA. GTTTGGGAAAATGGGAAGGACATCCCGACAAG-3’
and
146UPR:
5’- All patient samples were obtained from the “Cell Line and
DNA Biobank from Patients Affected by Genetic Diseases” (G. Gaslini Institute, Genoa) and processed as previously
described [8]. CTTGTCGGGATGTCCTTCCCATTTTCCCAAAC-3’)
were
used to introduce a further mutation (c.437T>A) adjacent to the
c.436C>G in the mutant plasmid. Thus, three versions of the
construct were used: the wild-type version (TGGCTAGG), the
naturally occurring mutant version (TGGGTAGG), and the
double mutant version (TGGGAAGG). Plasmid constructs, transfection and transcript
analysis Plasmid constructs, derived from the pcDNA3.1/V5-His-
TOPO/LacZ vector (Invitrogen, San Diego, CA), with a
recombinant in-frame LacZ-PLP1-LacZ minigene containing
the genomic region between exons 2 and 4 of the PLP1 gene,
were previously prepared as wild-type and mutant (c.436C>G)
versions [8]. In the present study, a double mutant construct
was
produced
using
the
QuikChange
II
Site-Directed
Mutagenesis Kit (Stratagene Agilent, Santa Clara, CA, USA). In
accordance with the manufacturer’s instructions, specific
primers
(146UPF:
5’- Ethical aspects Following ethical guidelines, all cell and nucleic acid samples
stored in the Biobank were obtained for analysis and storage
with the patients’ (and/or a family member’s) written informed
consent. Consent was sought using a form approved by local
Ethics Committee. Wild-type and mutant plasmid constructs were transfected
into murine oligodendroglial Oli-neu cells [12] using the
Lipofectamine
2000
Transfection
Reagent
(Invitrogen)
according to the manufacturer’s instructions. SRSF6-specific
siRNA (Ambion, Austin, TX, USA) was cotransfected with the
mutant (c.436G) minigene into Oli-neu cells using the
lipofectamine
2000
Transfection
Reagent
(Invitrogen)
according to the manufacturer’s guidelines. A morpholino
antisense oligonucleotide (Gene Tools, Philomath, OR, USA)
(5’-GATGTCCTACCCATTTTCCCAAACA-3’) was designed by
the Gene Tools Oligo Design Support based upon the target
sequence surrounding the c.436G mutation. When morpholino
treatment was performed, various amounts of morpholino
oligonucleotide were added with the EndoPorter peptide
delivery system (Gene Tools) to the c.436G mutant minigene-
transfected Oli-neu cells as detailed in the Results and
Discussion section. Patient samples p
(
GTTTGGGAAAATGGGAAGGACATCCCGACAAG-3’
and
146UPR:
5’- Results and Discussion In a previously studied PMD patient, we identified a PLP1
gene mutation, c.436C>G, located within exon 3B, the PLP-
specific region [8]. Since no RNA sample was available from
the patient, the functional effect of the c.436C>G mutation was
investigated using a recombinant LacZ-PLP1-LacZ in-frame
minigene containing a PLP1 gene exon 2 – exon 4 fragment
cloned
into
the
pcDNA3.1/V5-His-TOPO/LacZ
vector. Comparison of the mRNAs generated through the transfection
of the wild-type (c.436C) and mutated (c.436G) versions of the
construct into Oli-neu cells, demonstrated that the c.436C>G,
expected to result in a missense p.L146V mutation, led instead
to the loss of the PLP transcript encoding the major isoform of
the PLP1 gene, whereas the shorter DM20 version of the PLP1
transcript was produced normally [8]. Transfected cells were harvested 48 hrs after transfection. RNA was extracted using an RNeasy Plus Mini kit (Qiagen,
Valencia, CA, USA) and reverse transcribed using the
SuperScript® VILO™ cDNA Synthesis Kit (Invitrogen). To
avoid reverse transcription of endogenous Plp1 gene
transcripts from the Oli-neu cells, when specific priming was
required, first-strand cDNA synthesis was performed using the
SuperScript III First-Strand Synthesis System for RT-PCR
(Invitrogen), using a minigene-specific primer, LACT2R: 5’- To investigate the apparent association between the c. 436C>G mutation and the observed alteration in the mRNA
splicing phenotype, we analyzed the mutated region in silico to
ascertain whether the mutation was responsible for the gain or
loss of splicing regulatory motifs. The ESEfinder 3.0 program PLOS ONE | www.plosone.org 2 September 2013 | Volume 8 | Issue 9 | e73633 Oligonucleotide-Mediated Splicing Restoration Figure 1. Schematic representation of the analysis of PLP1 gene structure with the ESEfinder, Human Splicing Finder and
FAS-ESS programs. (a) Schematic representation of PLP1 gene structure (7 exons) and the alternative splicing of the PLP1 gene
into the major PLP1 transcript and a minor transcript encoding the shorter DM20 isoform, which differs only in terms of the latter half
of exon 3 (3B) which is post-transcriptionally spliced out. (b) Only part of the sequence of exon 3A (sequence in black type) and
exon 3B (sequence in red type) mutant PLP1 transcript is represented. The mutated nucleotide (c.436C>G) is underlined. According
to the ESEfinder 3.0 program, the c.436C>G change created an exonic splicing enhancer (EES, green trapezium), whereas Human
Splicing Finder version 2.4.1 and FAS-ESS web server predicted the creation of two exonic splicing silencers (ESS, purple
trapezia). Results and Discussion doi: 10 1371/journal pone 0073633 g001 Figure 1. Schematic representation of the analysis of PLP1 gene structure with the ESEfinder, Human Splicing Finder and
FAS-ESS programs. (a) Schematic representation of PLP1 gene structure (7 exons) and the alternative splicing of the PLP1 gene
into the major PLP1 transcript and a minor transcript encoding the shorter DM20 isoform, which differs only in terms of the latter half
of exon 3 (3B) which is post-transcriptionally spliced out. (b) Only part of the sequence of exon 3A (sequence in black type) and
exon 3B (sequence in red type) mutant PLP1 transcript is represented. The mutated nucleotide (c.436C>G) is underlined. According
to the ESEfinder 3.0 program, the c.436C>G change created an exonic splicing enhancer (EES, green trapezium), whereas Human
Splicing Finder version 2.4.1 and FAS-ESS web server predicted the creation of two exonic splicing silencers (ESS, purple
trapezia). doi: 10 1371/journal pone 0073633 g001 doi: 10.1371/journal.pone.0073633.g001 [13,14] predicted that the c.436C>G mutation would create an
exonic splice enhancer (ESE, sequence TGGGTA, mutation
site underlined) specific for the SRSF6 splicing factor with a
score (2.70848) that was above the threshold level (2.676); the
corresponding score for the wild-type sequence (TGGCTA,
score: 0.40451) was considerably lower (Table 1 and Figure 1). SRSF6 (also known as Srp55) is a splicing factor belonging to
the SR protein family which, by binding to ESEs, helps to
ensure the correct 5’ to 3’ linear order of exons in spliced
mRNA and also prevents exon skipping [15]. It is therefore
likely that SRSF6, by acting negatively on the splicing of exon
3B, plays a role in promoting PLP transcript production. The
Human Splicing Finder program (version 2.4.1) [16] and the
FAS-ESS web server [17] predicted the creation of two exonic
splice silencers (ESS), more specifically two FAS-hex3
hexamers (GGGTAG and GGTAGG) [16] (Figure 1). FAS-hex3
hexamers are potential exonic splicing silencer motifs [17]. They were found to be contained (and were overrepresented)
in decamers selected from a decamer random library by a cell-
based splicing reporter system specifically designed to detect
sequences with splicing silencer activity [17]. Fas-hex3 [13,14] predicted that the c.436C>G mutation would create an
exonic splice enhancer (ESE, sequence TGGGTA, mutation
site underlined) specific for the SRSF6 splicing factor with a
score (2.70848) that was above the threshold level (2.676); the
corresponding score for the wild-type sequence (TGGCTA,
score: 0.40451) was considerably lower (Table 1 and Figure 1). Results and Discussion SRSF6 (also known as Srp55) is a splicing factor belonging to
the SR protein family which, by binding to ESEs, helps to
ensure the correct 5’ to 3’ linear order of exons in spliced
mRNA and also prevents exon skipping [15]. It is therefore
likely that SRSF6, by acting negatively on the splicing of exon
3B, plays a role in promoting PLP transcript production. The
Human Splicing Finder program (version 2.4.1) [16] and the
FAS-ESS web server [17] predicted the creation of two exonic
splice silencers (ESS), more specifically two FAS-hex3
hexamers (GGGTAG and GGTAGG) [16] (Figure 1). FAS-hex3
hexamers are potential exonic splicing silencer motifs [17]. They were found to be contained (and were overrepresented)
in decamers selected from a decamer random library by a cell-
based splicing reporter system specifically designed to detect
sequences with splicing silencer activity [17]. Fas-hex3 Table 1. Output of ESEfinder program when the wild-type
and mutated PLP1 exon 3B sequences are compared. Sequence
Splicing factor motif
Score
Threshold score
TGGCTA (Wt)
SRSF6
0.40451
2.676
TGGGTA (M)
2.70848
TGGGAA (DM)
0.10328
Legend: the mutated nucleotides are underlined; Wt = wild-type; M = mutant; DM =
double mutant. Table 1. Output of ESEfinder program when the wild-type
and mutated PLP1 exon 3B sequences are compared. hexamers could therefore be responsible for the loss of the
PLP transcript isoform. By means of in silico analysis, we determined that the
identified regulatory motifs (ESE, TGGGTA and ESS,
GGGTAG and GGTAGG), could be functionally altered by
introducing a second mutation (c.437T>A) immediately
adjacent to c.436C>G. Indeed, the resulting double mutant
(TGGGAA, GGGAAG and GGAAGG) not only abolished the
FAS-hex3 hexamer ESSs but also led to a significant reduction PLOS ONE | www.plosone.org 3 September 2013 | Volume 8 | Issue 9 | e73633 Oligonucleotide-Mediated Splicing Restoration Figure 2. RT-PCR from Oli-neu cells transfected with the wild-type and mutated minigenes. Lane U: untransfected cells; lane
WT: cells transfected with the wild-type minigene construct; lane SM: cells transfected with the minigene construct harbouring the c. 436C>G mutation; lane DM: cells transfected with the minigene construct harbouring the double mutation [c.436C>T plus c. 437T>A]; lane C: negative (no template) control; lane M: φX174 DNA HaeIII-restricted molecular weight marker. The minigene-
specific primer 31GF/LACT2R-mediated RT-PCR products are 711 bp (PLP product) and 606 bp (DM20 product) in length,
respectively. The asterisk denotes samples transfected with the pcDNA3.1/V5-His-TOPO/LacZ-PLP1-LacZ vector. doi: 10.1371/journal.pone.0073633.g002 Figure 2. Results and Discussion RT-PCR from Oli-neu cells transfected with the wild-type and mutated minigenes. Lane U: untransfected cells; lane
WT: cells transfected with the wild-type minigene construct; lane SM: cells transfected with the minigene construct harbouring the c. 436C>G mutation; lane DM: cells transfected with the minigene construct harbouring the double mutation [c.436C>T plus c. 437T>A]; lane C: negative (no template) control; lane M: φX174 DNA HaeIII-restricted molecular weight marker. The minigene-
specific primer 31GF/LACT2R-mediated RT-PCR products are 711 bp (PLP product) and 606 bp (DM20 product) in length,
respectively. The asterisk denotes samples transfected with the pcDNA3.1/V5-His-TOPO/LacZ-PLP1-LacZ vector. doi: 10.1371/journal.pone.0073633.g002 On the basis of this working hypothesis, we next investigated
the possibility of correcting in vitro the splicing defect caused
by the c.436G mutation by preventing the interaction of the
identified consensus sequences with their cognate splicing
factors. To this end, we employed an antisense oligonucleotide
designed to target the mutated region. When the antisense
oligonucleotide, specifically a morpholino oligonucleotide, was
introduced into Oli-neu cells transfected with the mutant
plasmid, restoration of PLP-transcript isoform expression was
observed. Although transcript rescue was not effectively
achieved using less than 10µm morpholino oligonucleotide (not
shown), satisfactory results were obtained with 10µM
morpholino delivered with different amounts of Endoporter
transfection reagent (from 2 to 10 µM) (Figure 3). in the ESE score (Table 1). Thus, the newly introduced c. 437T>A mutation would be predicted to abolish the effect of the
c.436C>G mutation on splicing thereby potentially restoring
PLP transcript production. To experimentally confirm this
postulate, we prepared by site-specific mutagenesis a double-
mutant version of the recombinant minigene construct and
transfected the three versions of the minigene [(wild-type
(TGGCTAGG), single mutant (TGGGTAGG) and double-
mutant (TGGGAAGG)] into Oli-neu cells. As shown in Figure 2,
the PLP transcript, which was present in cells transfected with
the wild-type minigene but absent in cells transfected with the
single mutant minigene, was expressed in cells transfected
with the double-mutant minigene. This served to confirm the
direct relationship between the presence of the c.436C>G
mutation-introduced regulatory motifs and the loss of the PLP
transcript isoform. in the ESE score (Table 1). Thus, the newly introduced c. 437T>A mutation would be predicted to abolish the effect of the
c.436C>G mutation on splicing thereby potentially restoring
PLP transcript production. Results and Discussion To experimentally confirm this
postulate, we prepared by site-specific mutagenesis a double-
mutant version of the recombinant minigene construct and
transfected the three versions of the minigene [(wild-type
(TGGCTAGG), single mutant (TGGGTAGG) and double-
mutant (TGGGAAGG)] into Oli-neu cells. As shown in Figure 2,
the PLP transcript, which was present in cells transfected with
the wild-type minigene but absent in cells transfected with the
single mutant minigene, was expressed in cells transfected
with the double-mutant minigene. This served to confirm the
direct relationship between the presence of the c.436C>G
mutation-introduced regulatory motifs and the loss of the PLP
transcript isoform. To evaluate quantitatively the morpholino-induced PLP
isoform transcript production, we performed real-time PCR
experiments using a primer-TaqMan probe-set specific for the
PLP transcript (P2) and a primer-TaqMan probe-set specific for
both the PLP and DM20 transcripts (P23B), as previously
described [8]. Following this procedure, we determined the
PLP/(PLP+DM20) ratio for the morpholino-treated Oli-neu cells
tranfected with the mutant construct; as shown in Table 2, we
obtained PLP/(PLP+DM20) ratios ranging from 0.079 to 0.122. These values compare with a PLP/(PLP+DM20) ratio of 0.212
for Oli-neu cells transfected with the wild-type construct. Thus,
employing the morpholino oligonucleotide, we succeeded in
increasing the PLP/(DM20+PLP) ratio to a level which was
58% of the wild–type ratio. Although the presence of the PLP
and DM20 protein isoforms could not be directly confirmed
experimentally, we suspect that the translation of the detected Having analyzed separately the potential effects of the ESE
and the ESS motifs, we surmise that SRSF6, by binding to the
ESE site, would direct the mRNA splicing phenotype towards
the PLP isoform. To test this hypothesis experimentally, we
cotransfected the mutant c.436C>G minigene construct and an
SRSF6-specific siRNA into Oli-neu cells. As predicted, the
mRNA splicing pattern, lacking the PLP transcript isoform, was
unmodified by the siRNA-mediated inhibition of the SRSF6-
ESE interaction (Figure S1). These results were consistent with
the hypothesis that the observed impact of the c.436C>G
mutation on splicing, leading to the loss of the PLP transcript
isoform, was mediated by the ESS motifs. We therefore
concluded that it was likely that the two newly created ESS
motifs played a role in the loss of the PLP isoform. PLOS ONE | www.plosone.org September 2013 | Volume 8 | Issue 9 | e73633 4 Oligonucleotide-Mediated Splicing Restoration Figure 3. Analysis of morpholino treatment: RT-PCR from minigene-transfected morpholino-treated Oli-neu cells. Results and Discussion RNA
was extracted from cells transfected with the wild-type (Wt) and mutant (c.436C>G) minigene constructs (Mut, 2, 4, 6, 8, 10). Samples 2, 4, 6, 8 and 10 were treated with the morpholino oligonucleotide, whereas samples Mut and Wt were untreated. Treated
cells received 10 mM morpholino oligonucleotide in 2, 4, 6, 8, 10 mM Endoporter reagent; lane C: no template control; lane M:
φX174 DNA HaeIII restricted molecular weight marker. The minigene-specific primer 31GF/LACT2R-mediated RT-PCR products
are 711 bp (PLP product) and 606 bp (DM20 product) in length, respectively. doi: 10.1371/journal.pone.0073633.g003 Figure 3. Analysis of morpholino treatment: RT-PCR from minigene-transfected morpholino-treated Oli-neu cells. RNA
was extracted from cells transfected with the wild-type (Wt) and mutant (c.436C>G) minigene constructs (Mut, 2, 4, 6, 8, 10). Samples 2, 4, 6, 8 and 10 were treated with the morpholino oligonucleotide, whereas samples Mut and Wt were untreated. Treated
cells received 10 mM morpholino oligonucleotide in 2, 4, 6, 8, 10 mM Endoporter reagent; lane C: no template control; lane M:
φX174 DNA HaeIII restricted molecular weight marker. The minigene-specific primer 31GF/LACT2R-mediated RT-PCR products
are 711 bp (PLP product) and 606 bp (DM20 product) in length, respectively. doi: 10.1371/journal.pone.0073633.g003 the likely clinical severity associated with the hypothetical PLP
p.L146V mutation as compared with the complete absence of
the PLP isoform. The p.L146V mutation would be located
within the cytoplasmic loop of PLP. The analysis of the extent
of evolutionary conservation of this loop, flanking the Leu 146
residue, in 7 orthologous PLP proteins showed that it has been
conserved in amphibians but not in fish, suggesting that the
PLP isoform is typical of higher vertebrates (Table S1) [19]. In
general, mutations located within this loop, and, in particular,
mutations located in amino acid residues in the vicinity of
Leu146, are not associated with severe clinical phenotypes. Indeed, the closest reported missense mutations, H147Y [20]
and H140Y [21], both of which are predicted to lead to the
production of a mutant PLP isoform, have been reported in
patients affected by a relatively mild SPG2 clinical phenotype. Table 2. Real-time RT-PCR analysis of morpholino-treated
Oli-neu cells transfected with mutated (Mut) and wild-type
(Wt) PLP1 minigene constructs. Table 2. Real-time RT-PCR analysis of morpholino-treated
Oli-neu cells transfected with mutated (Mut) and wild-type
(Wt) PLP1 minigene constructs. Results and Discussion Mut
2
4
6
8
10
Wt
PLP/(PLP+DM20) ratio
0.002
0.122
0.094
0.079
0.094
0.116
0.212
REC %
0.9
58
44
37
44
55
100
Legend: Columns 2, 4, 6, 8 and 10 indicate samples treated with 10 µM
morpholino oligonucleotide in 2, 4, 6, 8 and 10 µM Endoporter reagent,
respectively. The PLP/(PLP+DM20) ratio, obtained using the P2 and P23B sets of
primers and probes, is reported for each sample. Rec % denotes the proportion of
recovered PLP1 transcript expression as compared to the wild-type. PLP and DM20 transcript might occur without blocking, owing
to the mRNA-morpholino interactions, as the region involved is
largely downstream of the ATG (approx. 1.9kb) translational
start site in the LacZ-PLP1-LacZ minigene. It is already known
that the blocking efficiency of morpholino oligonucleotides falls
dramatically as the distance of the binding region from the
initial ATG increases [18]. It should be noted that these results
were obtained using Oli-neu cells as recipients in all the
transfection
experiments. The
use
of
these
mouse
oligodendrocyte precursor cells was deemed appropriate with a
view to mimicking the cellular environment in which PMD
displays its effects, and also avoiding potential biases in
splicing selection due to the action of tissue-specific factors. Th
f l
li
l
tid
di t d
t
ti
f th PLP and DM20 transcript might occur without blocking, owing
to the mRNA-morpholino interactions, as the region involved is
largely downstream of the ATG (approx. 1.9kb) translational
start site in the LacZ-PLP1-LacZ minigene. It is already known
that the blocking efficiency of morpholino oligonucleotides falls
dramatically as the distance of the binding region from the
initial ATG increases [18]. It should be noted that these results
were obtained using Oli-neu cells as recipients in all the
transfection
experiments. The
use
of
these
mouse
oligodendrocyte precursor cells was deemed appropriate with a
view to mimicking the cellular environment in which PMD
displays its effects, and also avoiding potential biases in
splicing selection due to the action of tissue-specific factors. PLP and DM20 transcript might occur without blocking, owing
to the mRNA-morpholino interactions, as the region involved is
largely downstream of the ATG (approx. 1.9kb) translational
start site in the LacZ-PLP1-LacZ minigene. It is already known
that the blocking efficiency of morpholino oligonucleotides falls
dramatically as the distance of the binding region from the
initial ATG increases [18]. September 2013 | Volume 8 | Issue 9 | e73633 References PubMed: 15689360. 18. Summerton J (1999) Morpholino antisense oligomers: the case for an
RNase H-independent structural type. Biochim Biophys Acta 1489:
141-158. doi:10.1016/S0167-4781(99)00150-5. PubMed: 10807004. 7. Gow A, Lazzarini RA (1996) A cellular mechanism governing the
severity of Pelizaeus-Merzbacher disease. Nat Genet 13: 422-428. doi:
10.1038/ng0896-422. PubMed: 8696336. 19. Schweitzer J, Becker T, Schachner M, Nave KA, Werner H (2005)
Evolution of myelin proteolipid proteins: gene duplication in teleosts and
expression pattern divergence. Mol Cell Neurosci 31: 161-177. PubMed: 16289898. g
8. Grossi S, Regis S, Biancheri R, Mort M, Lualdi S et al. (2011) Molecular
genetic analysis of the PLP1 gene in 38 families with PLP1-related
disorders: identification and functional characterization of 11 novel
PLP1
mutations. Orphanet
J
Rare
Dis
6:
40. doi:
10.1186/1750-1172-6-40. PubMed: 21679407. 20. Sivakumar K, Sambuughin N, Selenge B, Nagle JW, Baasanjav D et al. (1999) Novel exon 3B proteolipid protein gene mutation causing late-
onset spastic paraplegia type 2 with variable penetrance in female
family
members. Ann
Neurol
45:
680-683. doi:
10.1002/1531-8249(199905)45:5. PubMed: 10319897. 9. Hobson GM, Huang Z, Sperle K, Stabley DL, Marks HG et al. (2002) A
PLP splicing abnormality is associated with an unusual presentation of
PMD. Ann Neurol 52: 477–488. doi:10.1002/ana.10320. PubMed:
12325077. 21. Saugier-Veber P, Munnich A, Bonneau D, Rozet JM, Le Merrer M et al. (1994) X-linked spastic paraplegia and Pelizaeus-Merzbacher disease
are allelic disorders at the proteolipid protein locus. Nat Genet 6:
257-262. doi:10.1038/ng0394-257. PubMed: 8012387. 10. Wang E, Huang Z, Hobson GM, Dimova N, Sperle K et al. (2006) PLP1
alternative splicing in differentiating oligodendrocytes: characterization
of an exonic splicing enhancer. J Cell Biochem 97: 999–1016. doi:
10.1002/jcb.20692. PubMed: 16288477. 11. Wang E, Dimova N, Cambi F (2007) PLP/DM20 ratio is regulated by
hnRNPH and F and a novel G-rich enhancer in oligodendrocytes. Nucleic Acids Res 35: 4164–4178. doi:10.1093/nar/gkm387. PubMed:
17567613. 22. Dhaunchak AS, Colman DR, Nave KA (2011) Misalignment of PLP/
DM20 transmembrane domains determines protein misfolding in
Pelizaeus-Merzbacher disease. J Neurosci 31: 14961-14971. doi:
10.1523/JNEUROSCI.2097-11.2011. PubMed: 22016529. 12. Jung M, Krämer E, Grzenkowski M, Tang K, Blakemore W et al. (1995)
Lines of murine oligodendroglial precursor cells immortalized by an
activated neu tyrosine kinase show distinct degrees of interaction with 23. Swanton E, High S, Woodman P (2003) Role of calnexin in the glycan-
independent quality control of proteolipid protein. EMBO J 22: 2948–
2958. doi:10.1093/emboj/cdg300. PubMed: 12805210. 24. References 1. Garbern JY, Hobson GH (1999) PLP1-related disorders, updated 2010. In: RA PagonTD BirdCR Dolan. GeneReviews. Seattle (WA): University
of Washington; (1993).. Available: http://www.ncbi.nlm.nih.gov/books/
NBK1182/. 1. Garbern JY, Hobson GH (1999) PLP1-related disorders, updated 2010. In: RA PagonTD BirdCR Dolan. GeneReviews. Seattle (WA): University
of Washington; (1993).. Available: http://www.ncbi.nlm.nih.gov/books/
NBK1182/. axons in vitro and in vivo. Eur J Neurosci 7: 1245-1265. doi:10.1111/j. 1460-9568.1995.tb01115.x. PubMed: 7582098. axons in vitro and in vivo. Eur J Neurosci 7: 1245-1265. doi:10.1111/j. 1460-9568.1995.tb01115.x. PubMed: 7582098. 13. Cartegni L, Wang J, Zhu Z, Zhang MQ, Krainer AR (2003) ESEfinder: a
web resource to identify exonic splicing enhancers. Nucleic Acids Res
31: 3568-3571. doi:10.1093/nar/gkg616. PubMed: 12824367. 2. Inoue K (2005) PLP1-related inherited dysmyelinating disorders:
Pelizaeus–Merzbacher disease and spastic paraplegia type 2. Neurogenetics 6: 1–16. doi:10.1007/s10048-004-0207-y. PubMed:
15627202. 2. Inoue K (2005) PLP1-related inherited dysmyelinating disorders:
Pelizaeus–Merzbacher disease and spastic paraplegia type 2. Neurogenetics 6: 1–16. doi:10.1007/s10048-004-0207-y. PubMed:
15627202. 14. Smith PJ, Zhang C, Wang J, Chew SL, Zhang MQ et al. (2006) An
increased specificity score matrix for the prediction of SF2/ASF-specific
exonic splicing enhancers. Hum Mol Genet 15: 2490-2508. doi:
10.1093/hmg/ddl171. PubMed: 16825284. 3. Garbern JY (2007) Pelizaeus–Merzbacher disease: genetic and cellular
pathogenesis. Cell
Mol
Life
Sci
64:
50–65. doi:10.1007/
s00018-006-6182-8. PubMed: 17115121. 15. Long JC, Caceres JF (2009) The SR protein family of splicing factors:
master regulators of gene expression. Biochem J 417: 15-27. doi:
10.1042/BJ20081501. PubMed: 19061484. 4. Nave KA, Lai C, Bloom FE, Milner RJ (1987) Splice site selection in the
proteolipid protein (PLP) gene transcript and primary structure of the
DM-20 protein of central nervous system myelin. Proc Natl Acad Sci U
S A 84: 5665–5669. doi:10.1073/pnas.84.16.5665. PubMed: 2441390. 16. Desmet FO, Hamroun D, Lalande M, Collod-Béroud G, Claustres M et
al. (2009) Human Splicing Finder: an online bioinformatics tool to
predict splicing signals. Nucleic Acids Res 37: e67. doi:10.1093/nar/
gkp215. PubMed: 19339519. 5. Klugmann M, Schwab MH, Pühlhofer A, Schneider A, Zimmermann F,
et al. (1997) Assembly of CNS myelin in the absence of proteolipid
protein. Neuron 18: 59–70. 17. Wang Z, Rolish ME, Yeo G, Tung V, Mawson M et al. (2004)
Systematic identification and analysis of exonic splicing silencers. Cell
119: 831–845. doi:10.1016/j.cell.2004.11.010. PubMed: 15607979. 6. Wolf NI, Sistermans EA, Cundall M, Hobson GM, Davis-Williams AP et
al. (2005) Three or more copies of the proteolipid protein gene PLP1
cause severe Pelizaeus–Merzbacher disease. Brain 128: 743–751. doi:
10.1093/brain/awh409. (DOCX) PLP isoform. If this turns out to be the case, then our
oligonucleotide-mediated in vitro correction strategy should
have a high likelihood of being successful in ameliorating the
clinical phenotype of the patient as part of a sequence-targeted
therapeutic approach in this case of PMD. Acknowledgements We thank the “Cell Line and DNA Biobank from Patients
Affected by Genetic Diseases” (G. Gaslini Institute) - Telethon
Network of Genetic biobanks (Project No. GTB12001) for
providing the patient samples. Supporting Information Figure S1. siRNA-mediated inhibition of the SRSF6-ESE
interaction. Author Contributions Conceived and designed the experiments: SR. Performed the
experiments: SR FC SG BT. Analyzed the data: SR MF DNC. Contributed reagents/materials/analysis tools: SR FC SG BT
MF. Wrote the manuscript: SR DNC MF. Table S1. Evolutionary comparison of the PLP1 protein
intracellular loop flanking the L146V missense mutation
with their orthologous counterparts in seven vertebrates. Results and Discussion It should be noted that these results
were obtained using Oli-neu cells as recipients in all the
transfection
experiments. The
use
of
these
mouse
oligodendrocyte precursor cells was deemed appropriate with a
view to mimicking the cellular environment in which PMD
displays its effects, and also avoiding potential biases in
splicing selection due to the action of tissue-specific factors. The successful oligonucleotide-mediated restoration of the
major PLP transcript expression is important because the
ultimate cause of the disease in this patient is the absence of
the PLP isoform. However, unlike the situation with the DM20
transcript, restoration of the PLP transcript would be expected
to lead to the production of a PLP protein isoform harbouring
the p.L146V substitution. We neither know, nor can we predict, In addition, mutations residing within the cytoplasmic loop do
not appear to exert a particularly detrimental impact on the
general structure of the PLP protein, in particular on the
tetraspan structure, whose integrity prevents retention of the
protein in the endoplasmic reticulum (ER) [22] with consequent
potential activation of the unfolded protein response (UPR). The p.L146V mutation would not be predicted to alter any of
the previously proposed putative ER-retention signals: namely,
the fourth transmembrane domain of the PLP protein [23], and
a heptapeptide within the intracellular loop [24]. Finally, the
conservative replacement of the aliphatic hydrophobic side
chain of Leu with the slightly smaller aliphatic hydrophobic side
chain of Val is not inconsistent with a mild clinical phenotype. The successful oligonucleotide-mediated restoration of the
major PLP transcript expression is important because the
ultimate cause of the disease in this patient is the absence of
the PLP isoform. However, unlike the situation with the DM20
transcript, restoration of the PLP transcript would be expected
to lead to the production of a PLP protein isoform harbouring
the p.L146V substitution. We neither know, nor can we predict, Taking the above considerations together, we would
therefore predict that the p.L146V mutation should not give rise
to a major structural alteration of PLP nor is it likely that it
would result in the retention of the PLP protein isoform in the
ER. We would therefore predict that the presence of the
L146V-mutated PLP isoform would be less detrimental to the
individual harbouring it than would the complete absence of the September 2013 | Volume 8 | Issue 9 | e73633 PLOS ONE | www.plosone.org 5 Oligonucleotide-Mediated Splicing Restoration References Southwood C, Olson K, Wu CY, Gow A (2007) Novel alternatively
spliced endoplasmic reticulum retention signal in the cytoplasmic loop
of proteolipid protein-1. J Neurosci Res 85: 471–478. doi:10.1002/jnr. 21153. PubMed: 17171701. PLOS ONE | www.plosone.org September 2013 | Volume 8 | Issue 9 | e73633 6
|
https://openalex.org/W2804136752
|
https://www.nature.com/articles/s42003-018-0086-7.pdf
|
English
| null |
Genomic evidence for the degradation of terrestrial organic matter by pelagic Arctic Ocean Chloroflexi bacteria
|
bioRxiv (Cold Spring Harbor Laboratory)
| 2,018
|
cc-by
| 8,974
|
1 Department of Biology, Concordia University, 7141 Sherbrooke St. West, Montreal, QC H4B 1R6, Canada. 2 Department of Chemistry and School of the
Environment, Trent University, 1600 West bank Drive, Peterborough, ON K9J 7B8, Canada. 3 Fisheries and Oceans Canada, Institute of Ocean Sciences,
9860 West Saanich Road, Sidney, BC V8V 4L1, Canada. 4 Département de biologie, Institut de Biologie Intégrative et des Systèmes (IBIS) and Québec-
Océan, Université Laval, Laval, QC G1K 7P4, Canada. 5 Takuvik Joint International Laboratory, Centre National de la Recherche Scientifique (France, CNRS
UMI 3376), Université Laval, Laval, QC G1V 0A6, Canada. Correspondence and requests for materials should be addressed to
D.A.W. (email: david.walsh@concordia.ca) Genomic evidence for the degradation of terrestrial
organic matter by pelagic Arctic Ocean Chloroflexi
bacteria Genomic evidence for the degradation of terrestrial
organic matter by pelagic Arctic Ocean Chloroflexi
bacteria David Colatriano1, Patricia Q. Tran1, Celine Guéguen2, William J. Williams3, Connie Lovejoy
4,5
& David A. Walsh1 The Arctic Ocean currently receives a large supply of global river discharge and terrestrial
dissolved organic matter. Moreover, an increase in freshwater runoff and riverine transport of
organic matter to the Arctic Ocean is a predicted consequence of thawing permafrost and
increased precipitation. The fate of the terrestrial humic-rich organic material and its impact
on the marine carbon cycle are largely unknown. Here, a metagenomic survey of the Canada
Basin in the Western Arctic Ocean showed that pelagic Chloroflexi from the Arctic Ocean are
replete with aromatic compound degradation genes, acquired in part by lateral transfer from
terrestrial bacteria. Our results imply marine Chloroflexi have the capacity to use terrestrial
organic matter and that their role in the carbon cycle may increase with the changing
hydrological cycle. 1 COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio ARTICLE COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 T
he Arctic Ocean accounts for 1.4% of global ocean volume
but receives 11% of global river discharge1. Up to 33% of
the dissolved organic matter in the Arctic Ocean is of
terrestrial origin and a major fraction of this terrestrial dissolved
organic matter (tDOM) originates from carbon-rich soils and
peatlands2,3. With thawing permafrost and increased precipita-
tion occurring across the Arctic4, increases in freshwater runoff
and riverine transport of organic matter to the Arctic Ocean are
predicted, which will increase tDOM fluxes and loadings5,6. The
additional tDOM may represent new carbon and energy sources
for the Arctic Ocean microbial community and contribute to
increased respiration, which would result in the Arctic being a
source of dissolved inorganic carbon to the ocean. Alternatively,
as it moves from its source of origin to the Arctic Ocean tDOM
could become more recalcitrant to bacterial metabolism and
represent a long-term sequestration of the newly released carbon
making the Arctic more carbon neutral7,8. However, an estimated
50% of Arctic Ocean tDOM is removed before being released to
the Atlantic, at least in part by microbial processes9. As input of
tDOM increases, knowledge on its microbial transformation will
be critical for understanding changes in Arctic carbon cycling. locations and 4 separate bathypelagic metagenomes indicated that
the Canada Basin Chloroflexi MAGs were not widely distributed
in the oceans (Fig. 2c, Supplementary Data 1). These findings are
evidence that the Chloroflexi MAGs represent genotypes that are
rare outside Arctic marine waters. T The Chloroflexi MAGs contained many genes implicated in the
degradation of aromatic compounds typically associated with
humic-rich tDOM (Supplementary Data 2). A single MAG
(SAR202-VII-2) from a previously undescribed clade (SAR202-
VII) exhibited a striking enrichment in these genes (Fig. 3a). Partial pathways for the catabolism of aromatic compounds were
recently reported from deep ocean SAR202 SAGs18. COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio To assess
whether the abundance and diversity of SAR202-VII-2 genes
involved in aromatic compound catabolism is unique to Arctic
Ocean MAGs or is a more broad characteristic of marine
Chloroflexi, we compared gene content between SAR202-VII-2
and
two
SAGs
(SAR202-V-AB-629-P13
and
SAR202-III-
AAA240-O15) reported in Landry et al.18 Of the 117 SAR202-
VII-2 orthologs implicated in aromatic compound degradation,
12 were identified in SAR202-III-AAA240-O15 and only one was
identified in SAR202-V-AB-629-P13, implying distinct and less
diverse pathways in deep ocean SAR202 compared to the Arctic
Ocean populations (Supplementary Data 2). The marine SAR202 is a diverse and uncultivated clade of
Chloroflexi bacteria that comprise roughly 10% of planktonic
cells in the dark ocean10–14. SAR202 is also common in marine
sediments and deep lakes15–17. It has long been speculated that
SAR202 may have a role in the degradation of recalcitrant organic
matter11,14, and the recent analysis of SAR202 single-cell-amplified
genomes (SAGs) lends support to this notion18. More generally,
Chloroflexi, including those in the SAR202 clade, are also present
in the upper layers of the Arctic Ocean19, leading to the
hypothesis that recalcitrant organic compounds present in high
Arctic tDOM could be utilized by this group. p p
(
pp
y
)
Proteins for the modification and degradation of monoaryl and
biaryl compounds were predicted, including a diversity of aro-
matic ring-cleaving dioxygenases24–26. A total of 42 ring-cleaving
dioxygenases targeting compounds related to catechol, proto-
catechuate and gentisate were present in the six MAGs, with 25
dioxygenases predicted in SAR202-VII-2 alone (Fig. 3a, b). Ring
demethylation, hydroxylation, and decarboxylation are important
prerequisite steps to prime diverse aromatic compounds for
downstream oxidative cleavage27,28. Thirty ring-demethylating
monooxygenases, ten ring-hydroxylating dioxygenases, and ele-
ven ring-decarboxylases were annotated in the SAR202-VII-2
MAG (Fig. 3c, Supplementary Data 2). Proteins involved in the
conversion of ring-cleavage products to central intermediates of
the citric acid cycle were also present in the SAR202-VII-2 MAG,
including
dehydrogenases
(i.e.,
2,3-dihydroxy-2,3-dihy-
drophenylpropionate dehydrogenase), decarboxylases (i.e., oxa-
loacetate B-decarboxylase), aldolases (i.e., HMG aldolase and
4-carboxymuconolactone
decarboxylase),
hydratases
(i.e.,
4-
oxalmescanoate hydratase and 2-oxopent-4-enoate hydratase),
isomerases
(i.e.,
mycothiol
maleulpyruvate
isomerase
and
muconolactone isomerase) and hydrolases (i.e., 3-oxoadipate
enol-lactonase and β-ketoadipate enol-lactone hydrolase) (Sup-
plementary Data 2, Supplementary Figure 2). We note that we
were unable to identify a single complete reference pathway for
humic-like aromatic compound degradation. COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio Since estimated
genome completeness for SAR202-VII-2 was 99%, it is unlikely
the genes were missed due to an incomplete genome. Another
explanation is that marine Chloroflexi genomes encode novel
pathway variants. Indeed, numerous metal-dependent hydrolases,
hydrolases
of
the
HAD
family
and
NAD(P)-dependent
dehydrogenase were clustered in genomic regions with the ring-
modifying oxygenases, decarboxylases, and demethylases descri-
bed above. In addition to the array of aromatic compound
degradation genes, the SAR202-VII-2 MAG also contained 34
copies
of
the
flavin
mononucleotide
(FM)/F420-dependent
monooxygenase catalytic subunit (FMNO) proteins previously
implicated in activation of recalcitrant organic compounds in the
deep ocean18. These results are consistent with Chloroflexi in the
Arctic Ocean having the metabolic potential to access carbon and
energy available in aromatic compounds typically associated with
tDOM. COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio Results
h In this study, we analyzed Chloroflexi metagenome-assembled
genomes (MAGs) generated from samples collected from the
vertically stratified waters of the Canada Basin in the Western
Arctic Ocean (Fig. 1a). A metagenomic co-assembly was gener-
ated from samples originating from the surface layer (5–7 m), the
subsurface chlorophyll maximum (25–79 m) and a layer corre-
sponding to the terrestrially-derived DOM fluorescence (FDOM)
maximum previously described within the cold Canada Basin
halocline comprised of Pacific-origin waters (177–213 m)20. The
Pacific-origin FDOM maximum is due to sea ice formation and
interactions with bottom sediments on the Beaufort and Chukchi
shelves, which themselves are influenced by coastal erosion and
river runoff20. Binning based on tetranucleotide frequency and
coverage resulted in 360 MAGs from a diversity of marine
microbes (Fig. 1b). Six near-complete Chloroflexi MAGs were
identified. Based on 16S rRNA gene phylogeny, these MAGs
represented three distinct SAR202 subclades (SAR202-II, -VI,
-VII), the AncK29 clade and the TK10 clade (Fig. 2a). Estimated
MAG completeness ranged from 77 to 99%, while contamination
ranged from 0 to 2.3% (Table 1). All MAGs exhibited highest
coverage
just
below
the
subsurface
chlorophyll
maximum
(Fig. 2b) which is consistent with earlier findings on SAR202
distribution in the North Pacific Ocean12. However, the con-
centration and composition of the FDOM maximum in the
Canada Basin is significantly different compared to the North
Pacific Ocean21 and the North Atlantic Subtropical Gyre22. A
concatenated protein phylogeny demonstrated that the SAR202
MAGs were distinct from previously published MAGs from the
deep ocean18 and oxygen minimum zones23 (Supplementary
Figure 1). Fragment recruitment of 21 TARA Ocean metage-
nomic datasets spanning epipelagic to mesopelagic waters at 7 The diversity of SAR202-VII-2 genes implicated in aromatic
compound degradation lead us to hypothesize that they may have COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio 2 COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 ARTICLE originated by lateral gene transfer from terrestrial bacteria. To test
this, we targeted aromatic compound degradation genes (the
ring-cleaving dioxygenases, specifically) in the Chloroflexi MAGs
for in-depth phylogenetic analyses. The genomic diversity of marine Chloroflexi was expanded in our analysis by including
130 Chloroflexi MAGs recently assembled and binned from the
TARA Oceans project29. Results
h A number of the SAR202-VII-2 ring-
cleaving dioxygenase homologs were most closely related to Relative coverage
0
0.4 0.6 0.8 1
Completeness
FDOM max
SCM
Surface
Completeness
FDOM max
SCM
Surface
USA
CANADA
CB2
CB4
CB8
CB11
80°N
a
b
70°N
60°N
50°N
40°N
72°N
73°N
74°N
75°N
76°N
77°N
78°N
79°N
80°N
Ocean data view
Ocean data view
Depth (m)
Temperature (°C)
Salinity (PSU)
Chlorophyll
fluorescence (mg/m3)
FDOM (mg/m3)
0.75
0
–0.75
–1.5
33
30
27
0.3
0.2
0.1
4.5
3.75
3
2.25
0
300
0
300
0
300
0
300
CB2
CB4
CB8
CB11
150°W
120°W
90°W
60°W
0.2
Arc
ha
ea
Eu
kar
yot
es
Cy
ano
ba
c
Chl
oro
fle
xi
Act
ino
ba
cte
ria
Ba
cte
roi
de
te
s
MG
A
Ver
ruc
o P
lan
cto
Ga
mm
a-p
rot
eob
act
eri
a
Bet
a-p
rot
eob
act
eria
Alp
ha-
pro
teo
bac
ter
ia
Del
ta-
pro
teo
Aci
dob
act
eria 72°N
73°N
74°N
75°N
76°N
77°N
78°N
79°N
80°N
Ocean data view
Depth (m)
Temperature (°C)
Salinity (PSU)
Chlorophyll
fluorescence (mg/m3)
FDOM (mg/m3)
0.75
0
–0.75
–1.5
33
30
27
0.3
0.2
0.1
4.5
3.75
3
2.25
0
300
0
300
0
300
0
300
CB2
CB4
CB8
CB11 a USA
CANADA
CB2
CB4
CB8
CB11
80°N
a
70°N
60°N
50°N
40°N
Ocean data view
150°W
120°W
90°W
60°W Relative coverage
0
0.4 0.6 0.8 1
Completeness
FDOM max
SCM
Surface
Completeness
FDOM max
SCM
Surface
b
50°N
40°N
72°N
73°N
74°N
75°N
76°N
77°N
78°N
79°N
80°N
Ocean data view
Ocean data view
FDOM (mg/m3)
4.5
3.75
3
2.25
300
150°W
120°W
90°W
60°W
0.2
Arc
ha
ea
Eu
kar
yot
es
Cy
ano
ba
c
Chl
oro
fle
xi
Act
ino
ba
cte
ria
Ba
cte
roi
de
te
s
MG
A
Ver
ruc
o P
lan
cto
Ga
mm
a-p
rot
eob
act
eri
a
Bet
a-p
rot
eob
act
eria
Alp
ha-
pro
teo
bac
ter
ia
Del
ta-
pro
teo
Aci
dob
act
eria
Fig. 1 Metagenomic survey of microbial diversity in the Canada Basin. a Sampling locations and environmental profiles of the Canada Basin. Sa
locations and the associated environmental datasets were plotted using Ocean Data View version 4.7.742. b Concatenated protein phylogeny of 36
Ocean MAGs inferred by MetaWatt and visualized in iTOL. Results
h The three inner tracks present relative coverage of MAGs averaged across samples c
from surface waters, subsurface chlorophyll maximum (SCM) and the fluorescent dissolved organic matter maximum (FDOM max). The outer
presents estimated MAG completeness as inferred by MetaWatt. MAG completeness ranged from 25 to 94%
COMMUNICATIONS BIOLOGY | (2018)1 90 | DOI 10 1038/ 42003 018 0086 7 |
t
/
bi Relative coverage
0
0.4 0.6 0.8 1
Completeness
FDOM max
SCM
Surface
Completeness
FDOM max
SCM
Surface
b
0.2
Arc
ha
ea
Eu
kar
yot
es
Cy
ano
ba
c
Chl
oro
fle
xi
Act
ino
ba
cte
ria
Ba
cte
roi
de
te
s
MG
A
Ver
ruc
o P
lan
cto
Ga
mm
a-p
rot
eob
act
eri
a
Bet
a-p
rot
eob
act
eria
Alp
ha-
pro
teo
bac
ter
ia
Del
ta-
pro
teo
Aci
dob
act
eria
Metagenomic survey of microbial diversity in the Canada Basin. a Sampling locations and environmental profiles of the Canada Basin. S
ns and the associated environmental datasets were plotted using Ocean Data View version 4.7.742. b Concatenated protein phylogeny of 3
MAGs inferred by MetaWatt and visualized in iTOL. The three inner tracks present relative coverage of MAGs averaged across samples Relative coverage
0
0.4 0.6 0.8 1
Completeness
FDOM max
SCM
Surface
b
0.2
Arc
ha
ea
Eu
kar
yot
es
Cy
ano
ba
c
Chl
oro
fle
xi
Act
ino
ba
cte
ria
Ba
cte
roi
de
te
s
Alp
ha-
pro
teo
bac
ter
ia
Del
ta-
pro
teo
Aci
dob
act
eria b Fig. 1 Metagenomic survey of microbial diversity in the Canada Basin. a Sampling locations and environmental profiles of the Canada Basin. Sample
locations and the associated environmental datasets were plotted using Ocean Data View version 4.7.742. b Concatenated protein phylogeny of 360 Arctic
Ocean MAGs inferred by MetaWatt and visualized in iTOL. The three inner tracks present relative coverage of MAGs averaged across samples collected
from surface waters, subsurface chlorophyll maximum (SCM) and the fluorescent dissolved organic matter maximum (FDOM max). The outer track
presents estimated MAG completeness as inferred by MetaWatt. MAG completeness ranged from 25 to 94% Fig. 1 Metagenomic survey of microbial diversity in the Canada Basin. a Sampling locations and environmental profiles of the Canada Basin. Sample
locations and the associated environmental datasets were plotted using Ocean Data View version 4.7.742. Results
h b Concatenated protein phylogeny of 360 Arctic
Ocean MAGs inferred by MetaWatt and visualized in iTOL. The three inner tracks present relative coverage of MAGs averaged across samples collected
from surface waters, subsurface chlorophyll maximum (SCM) and the fluorescent dissolved organic matter maximum (FDOM max). The outer track
presents estimated MAG completeness as inferred by MetaWatt. MAG completeness ranged from 25 to 94% 3 COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio ARTICLE COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 a SAR202 cluster
SAR202-V-AB-629-P13
SAR202-III-AAA240-O15
Surface
SCM
Mesopelagic
Bathypelagic
SAR202-II-3
SAR202-II-177A
SAR202-VII-2
SAR202-VI-29A
TK10-74A
Anck29-46
CB2
b
c
CB4
CB8
CB11
CB2
CB4
CB8
CB11
CB2
CB4
CB8
CB11
Surface
SCM
FDOM max
0
0.5
2.5
5
0
1
2
5
10
20
50
Coverage (x)
RPKG
II
CL500-11
cluster
Deep ocean
cluster
Anck29
cluster
TK10 cluster
I
VII
V
VI
VIII
IV
III
SAR202-II-3
SAR202-II-177A
SAR202-VII-2
SAR202-VI-29A
TK10-74A
Anck29-46
60°N
30°N
30°S
60°S
150°W 120°W 90°W
60°W
30°W
30°E
Ocean data view
0°
EQ SAR202-II-3
SAR202-II-177A
SAR202-VII-2
SAR202-VI-29A
TK10-74A
Anck29-46
CB2
b
CB4
CB8
CB11
CB2
CB4
CB8
CB11
CB2
CB4
CB8
CB11
Surface
SCM
FDOM max
0
1
2
5
10
20
50
Coverage (x) SAR202 cluster
SAR202-V-AB-629-P13
SAR202-III-AAA240-O15
Surface
SCM
Mesopelagic
Bathypelagic
SAR202-II-3
SAR202-II-177A
SAR202-VII-2
SAR202-VI-29A
TK10-74A
Anck29-46
CB2
b
c
CB4
CB8
CB11
CB2
CB4
CB8
CB11
CB2
CB4
CB8
CB11
Surface
SCM
FDOM max
0
0.5
2.5
5
0
1
2
5
10
20
50
Coverage (x)
RPKG
0.08
Station Aloha AAA240-O15 (HQ675645.1)
Pacific Ocean sediment MBAE74 (AJ567614.1)
Western Arctic Ocean Ga0133547_100409911
Saanich Inlet SGPZ645 (GQ346975.1)
Crater Lake CL500-9 (AF316763.1)
Sargasso Sea SAR317 (AY534093.1)
Lake Michigan CL500-11LM (Denef et al. Results
h 2016) Lake Michigan
Station Aloha AAA240O05 (HQ675640.1)
Sponge-associated clone AncK29 (FJ900348.1)
Western Arctic Ocean Ga0133547_10017273
MAG SAR202 Anck29-46 (Ga0133547_10007268)
Anck29 (Ga0133547_10000780)
SAR202-I (Ga0133547_11227957)
Gulf of Mexico 86 (HQ015617.1)
Sargasso Sea SAR261 (AY534091.1)
Pacific Ocean sediment MBMPE42 (AJ567556.1)
Arctic Ocean Arctic95A18 (AF355054.1)
Seawater clone D92_22 (AY534099.1) Sargaso Sea
Sargasso Sea SAR202 (U20797.1)
North Atlantic Ocean AB-629-P13 v2 (2640444700)
Atlantic Ocean AAA007-M09 (HQ675482.1)
Trichloroethene-contaminated site FTL276 (AF529110.1)
Seawater clone SAR259 (AY534094.1) Sargasso Sea
Sponge TK17 (AJ347036.1)
Thermomicrobia
Atlantic Ocean AAA001-F05 (HQ675371.1)
SAR202 (Ga0133547_10004625)
Sargasso Sea SAR194 (AY534098.1)
Chloroflexia
MAG SAR202-II-177A (Ga0133547_1000294)
SAR202-II (Ga0133547_11014312)
Atlantic Ocean MOC-1-361 (KX427939.1)
MAG SAR202-VI-29A (Ga0133547 10002442)
Sargasso Sea SAR307 (U20798.1)
Anaerolineae
Chloroflexi (Ga0133547_10365966)
Chloroflexia
MAG SAR202-II-3 (Ga0133547_10001736)
Sponge XC1005 (JN596666.1)
Western Arctic Ocean Ga0133547_10010958
Forrest soil C083 (AF507700.1)
Crater Lak CL500-11 (AF316759.1) Crater Lake, 500 m
North Aegean Sea AEGEAN_116 (AF406538.1)
Southeast India sediment bac140 (JX138712.1)
MAG SAR202-VII-2 (Ga0133547_10000360)
SAR202-II (Ga0133547_10310572)
Station Aloha AAA240-N13 (2264260034)
SAR202-I (Ga0133547_11319260)
Hotoke-Ike Lake MPB1-195 (AB630577.1)
Western Arctic Ocean Ga0133547_10472218
Ardenticatena maritima (AB576167.1)
Sargasso Sea SAR242 (AY534089.1) Sargasso Sea
Sargasso Sea SAR188 (AY534087.1)
Canada Basin CB0563b.27 (GQ337107.1)
Station Aloha HF770_09E03 (EU361081.1)
Caldilineaeceae
Ktedonobacteria
DOC (Ga0133547_10351421)
Sponge Klon-I-93-voll (HF912758.1)
Chloroflexi (Ga0133547_10005725)
Station Aloha HF500_13N24 (EU361068.1)
Red Sea Sponge C433/GW1046 (HG423495.1)
Western Arctic Ocean Ga0133547_10002546
SAR202-II (Ga0133547_10453494)
Western Arctic Ocean Ga0133547_10016871
MAG SAR202-TK10-74A (Ga0133547_10008775)
Crater Lake CL500-10 (AF316764.1)
SAR202-II (Ga0133547_10001767)
Dehalococcoidia
Western Arctic Ocean Ga0133547_10035846
Gulf of Mexico DS34_F10 (KU578722.1)
Arctic Ocean Arctic96BD6 (AF355053.1)
SAR202-II (Ga0133547_10125571)
Chloroflexi (Ga0133547_10000969)
Anck29 (Ga0133547_10183849)
Saanich Inlet SGPZ590 (GQ346947.1)
Thermoflexus hugenholtzii JAD2 (KC526151.1)
SAR202-II (Ga0133547_10341800)
Gulf of Mexico 52331 (JN018849.1)
SAR202-II Ga0133547_10000170
Sargasso Sea SAR272 (AY534088.1)
Anck29 (Ga0133547_10009981)
100
83
89
94
72
100
100
100
90
100
99
100
91
85
100
91
100
100
100
100
100
99
84
98
100
100
100
100
100
100
87
84
100
97
100
100
100
86
99
100
100
100
99
91
100
100
100
100
95
100
Lake Gatun 5C231021 (EU903451.1)
Lake Zurich ZS4311 (FN668371.2)
II
CL500-11
cluster
Deep ocean
cluster
Anck29
cluster
TK10 cluster
I
VII
V
VI
VIII
IV
III
SAR202-II-3
SAR202-II-177A
SAR202-VII-2
SAR202-VI-29A
TK10-74A
Anck29-46
60°N
30°N
30°S
60°S
150°W 120°W 90°W
60°W
30°W
30°E
Ocean data view
0°
EQ
Fig. 2 Diversity and distribution of Arctic Ocean Chloroflexi MAGs. a Maximum likelihood tree of Chloroflexi based on partial 16S rRNA gene sequences. Blue taxa are from Canada Basin metagenomes and red taxa are from the six Chloroflexi MAGs. COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio Results
h Bootstrap values of >70% are shown (100 replicates). b Distribution of MAGs in the Canada Basin based on metagenome coverage at the surface, subsurface chlorophyll maximum (SCM) and fluorescent
dissolved organic matter maximum (FDOM max). c Distribution of MAGs in global ocean metagenomes based on fragment recruitment. Two deep ocean
SAR202 SAGs from Landry et al.18 were included for comparison. Location of TARA ocean metagenomes (red) and bathypelagic metagenomes (green) are
shown on the map generated using Ocean Data View version 4.7.742 SAR202-V-AB-629-P13
SAR202-III-AAA240-O15
Surface
SCM
Mesopelagic
Bathypelagic
c
0
0.5
2.5
5
RPKG
SAR202-II-3
SAR202-II-177A
SAR202-VII-2
SAR202-VI-29A
TK10-74A
Anck29-46
60°N
30°N
30°S
60°S
150°W 120°W 90°W
60°W
30°W
30°E
Ocean data view
0°
EQ SAR202-V-AB-629-P13
SAR202-III-AAA240-O15
Surface
SCM
Mesopelagic
Bathypelagic
c
0
0.5
2.5
5
RPKG
SAR202-II-3
SAR202-II-177A
SAR202-VII-2
SAR202-VI-29A
TK10-74A
Anck29-46 c c 60°N
30°N
30°S
60°S
150°W 120°W 90°W
60°W
30°W
30°E
Ocean data view
0°
EQ 150°W 120°W 90°W
60°W
30°W
30°E
0° Fig. 2 Diversity and distribution of Arctic Ocean Chloroflexi MAGs. a Maximum likelihood tree of Chloroflexi based on partial 16S rRNA gene sequences. Blue taxa are from Canada Basin metagenomes and red taxa are from the six Chloroflexi MAGs. Bootstrap values of >70% are shown (100 replicates). b Distribution of MAGs in the Canada Basin based on metagenome coverage at the surface, subsurface chlorophyll maximum (SCM) and fluorescent
dissolved organic matter maximum (FDOM max). c Distribution of MAGs in global ocean metagenomes based on fragment recruitment. Two deep ocean
SAR202 SAGs from Landry et al.18 were included for comparison. Location of TARA ocean metagenomes (red) and bathypelagic metagenomes (green) are
shown on the map generated using Ocean Data View version 4.7.742 proteins from the TARA Ocean Chloroflexi MAGs and other
marine originating genomes, particularly the catechol dioxy-
genases (Supplementary Figure 3), gentisate 1,2-dioxygenases
(Fig. 4) and methylgallate dioxygenases (Supplementary Figure 4)
indicating that aromatic compound degradation in Chloroflexi is
not restricted to the Arctic Ocean. However, lateral gene transfer
from terrestrial bacteria was also evident. For example, an annotated gentisate dioxygenase gene was positioned within a
clade of terrestrial Actinomycetes (Fig. 4). Additional genes
involved in the degradation of structures related to catechol,
protocatechuate and gentisate were phylogenetically associated
with homologs from terrestrial Acidobacteria (Supplementary
Figure 5), Actinobacteria (Supplementary Figure 6), Armatimo-
nadetes (Fig. Results
h of genes
a ligA
Decarboxylation
ligB
2_0234
2_0233
4_0522
4_0523
4_0200
4_0237
4_0238
2_0146
4_0244
60_0179
103_0019
360_0073
8610_0002
8610_0007
Hydroxylation
2_0074
2_0240
2_0408
2_0449
45_0109
60_0003
60_0202
297_0090
336_0078
2_0528
Gentisate dioxygenase
Catechol dioxygenase
Demethylation
5,5′-dehydrodivanillate
O-demethylase
4,5-dihydroxyphthalate
decarboxylase
3-Phenylpropionate/
Trans-cinnamate dioxygenase
Biphenyl 2,3-dioxygenase
4_0172
c
b
Dearomatization
Terrestrial clade
Marine clade
Mixed clade
HO
HO
HO
HO
HO
HO
HO
HO
HO
HO
HO
OH
O
OH
HO
OH
O
O
O
O
O
O
O
OH
OH
OH
O
OH
OH
OH
O
O
HO
OH
OH
O
HO
HO
HO
HO
HO
HO
O
O
O
H
HO
HO
HO
HO
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
OH
OH
OH
HO
OH
OH
OH
OH
HO
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
CH3
CH3
CH3
CH3
CH3
CH3
H3C
OH
O
O ligA
ligB
2_0234
2_0233
4_0522
4_0523
4_0200
4_0237
4_0238
2_0146
4_0244
60_0179
103_0019
360_0073
8610_0002
8610_0007
2_0074
2_0240
2_0408
2_0449
45_0109
60_0003
60_0202
297_0090
336_0078
2_0528
Gentisate dioxygenase
Catechol dioxygenase
4_0172
b
Dearomatization
Terrestrial clade
Marine clade
Mixed clade
HO
HO
O
O
O
OH
OH
HO
HO
O
O
O
H
HO
HO
HO
HO
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
OH
OH
OH
HO
OH
OH
OH
OH
HO
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
CH3
CH3
CH3
H3C
OH
O
O ligA
Decarboxylation
ligB
2_0234
2_0233
4_0522
4_0523
4_0200
4_0237
4_0238
2_0146
4_0244
60_0179
103_0019
360_0073
8610_0002
8610_0007
Hydroxylation
2_0074
2_0240
2_0408
2_0449
45_0109
60_0003
60_0202
297_0090
336_0078
2_0528
Gentisate dioxygenase
Catechol dioxygenase
Demethylation
5,5′-dehydrodivanillate
O-demethylase
4,5-dihydroxyphthalate
decarboxylase
3-Phenylpropionate/
Trans-cinnamate dioxygenase
Biphenyl 2,3-dioxygenase
4_0172
c
b
Dearomatization
Terrestrial clade
Marine clade
Mixed clade
HO
HO
HO
HO
HO
HO
HO
HO
HO
HO
HO
OH
O
OH
HO
OH
O
O
O
O
O
O
O
OH
OH
OH
O
OH
OH
OH
O
O
HO
OH
OH
O
HO
HO
HO
HO
HO
HO
O
O
O
H
HO
HO
HO
HO
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
OH
OH
OH
HO
OH
OH
OH
OH
HO
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
CH3
CH3
CH3
CH3
CH3
CH3
H3C
OH
O
O
Fig. Results
h c Examples of predicted aromatic ring-modifying enzymatic reactions identified in SAR202-VII-2
Table 1 Genomic characteristics of MAGs
Size (Mb)
Cov (x)
GC (%)
Completeness (%)
Contamination (%)
N50 (kb)
# of Contigs
SAR202-II-3
1.36
68
39
80
0
35
46
SAR202-II-177A
1.62
101
42
82
1
36
52
SAR202-VII-2
2.78
16
59
99
0
246
8
SAR202-VI-29A
1.52
16
46
97
2
59
2
TK10-74A
2.45
12
69
81
2.3
38
76
Anck29-46
1.11
11
32
77
0
75
22
COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio
5 117
8
13
9
3
20
SAR202-VII-2
SAR202-II-3
SAR202-II-177A
SAR202-VI-29A
Anck29-46
TK10-74A
0
10
20
30
40
Protocatechuate 4,5-dioxygenase
Gentisate 1,2-dioxygenase
Catechol 2,3-dioxygenase
Ring-hydroxylating dioxygenase
Ring-decarboxylases
O-demethylases
Flavin-dependent monooxygenases
No. of genes
a
ligA
Decarboxylation
ligB
2_0234
2_0233
4_0522
4_0523
4_0200
4_0237
4,5-dihydroxyphthalate
decarboxylase
c
b
Dearomatization
HO
HO
HO
HO
OH
O
HO
HO
O
O
O
O
O
O
O
O
O
O
O
OH
OH
OH
HO
OH
OH
OH
OH
OH
OH
OH
CH3
H3C
OH
O
O
Table 1 Genomic characteristics of MAGs
Size (Mb)
Cov (x)
GC (%)
Completeness (%)
Contamination (%)
N50 (kb)
# of Contigs
SAR202-II-3
1.36
68
39
80
0
35
46
SAR202-II-177A
1.62
101
42
82
1
36
52
SAR202-VII-2
2.78
16
59
99
0
246
8
SAR202-VI-29A
1.52
16
46
97
2
59
2
TK10-74A
2.45
12
69
81
2.3
38
76
Anck29-46
1.11
11
32
77
0
75
22 Table 1 Genomic characteristics of MAGs
Size (Mb)
Cov (x)
GC (%)
Completeness (%)
Contamination (%)
N50 (kb)
# of Contigs
SAR202-II-3
1.36
68
39
80
0
35
46
SAR202-II-177A
1.62
101
42
82
1
36
52
SAR202-VII-2
2.78
16
59
99
0
246
8
SAR202-VI-29A
1.52
16
46
97
2
59
2
TK10-74A
2.45
12
69
81
2.3
38
76
Anck29-46
1.11
11
32
77
0
75
22 Table 1 Genomic characteristics of MAGs 117
8
13
9
3
20
SAR202-VII-2
SAR202-II-3
SAR202-II-177A
SAR202-VI-29A
Anck29-46
TK10-74A
0
10
20
30
40
Protocatechuate 4,5-dioxygenase
Gentisate 1,2-dioxygenase
Catechol 2,3-dioxygenase
Ring-hydroxylating dioxygenase
Ring-decarboxylases
O-demethylases
Flavin-dependent monooxygenases
No. Results
h 4), Delta-proteobacteria (Supplementary Figures 3 COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio 4 ARTICLE COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 117
8
13
9
3
20
SAR202-VII-2
SAR202-II-3
SAR202-II-177A
SAR202-VI-29A
Anck29-46
TK10-74A
0
10
20
30
40
Protocatechuate 4,5-dioxygenase
Gentisate 1,2-dioxygenase
Catechol 2,3-dioxygenase
Ring-hydroxylating dioxygenase
Ring-decarboxylases
O-demethylases
Flavin-dependent monooxygenases
No. of genes
a
ligA
Decarboxylation
ligB
2_0234
2_0233
4_0522
4_0523
4_0200
4_0237
4_0238
2_0146
4_0244
60_0179
103_0019
360_0073
8610_0002
8610_0007
Hydroxylation
2_0074
2_0240
2_0408
2_0449
45_0109
60_0003
60_0202
297_0090
336_0078
2_0528
Gentisate dioxygenase
Catechol dioxygenase
Demethylation
5,5′-dehydrodivanillate
O-demethylase
4,5-dihydroxyphthalate
decarboxylase
3-Phenylpropionate/
Trans-cinnamate dioxygenase
Biphenyl 2,3-dioxygenase
4_0172
c
b
Dearomatization
Terrestrial clade
Marine clade
Mixed clade
HO
HO
HO
HO
HO
HO
HO
HO
HO
HO
HO
OH
O
OH
HO
OH
O
O
O
O
O
O
O
OH
OH
OH
O
OH
OH
OH
O
O
HO
OH
OH
O
HO
HO
HO
HO
HO
HO
O
O
O
H
HO
HO
HO
HO
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
OH
OH
OH
HO
OH
OH
OH
OH
HO
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
CH3
CH3
CH3
CH3
CH3
CH3
H3C
OH
O
O
Fig. 3 Aromatic compound degradation genes and pathways in Arctic Ocean Chloroflexi MAGs. a Abundance of aromatic compound degradation genes in
Chloroflexi MAGs from the Canada Basin (pie chart) and a breakdown of those found specifically in SAR202-VII-2 (column plot). b Predicted aromati
ring-opening enzymatic reactions identified in SAR202-VII-2 with gene loci displayed in the colored boxes. Genes in green and blue boxes were most
closely related to homologs from terrestrial or marine bacteria, respectively. Genes in the blue/green boxes were in clades containing diverse
environmental bacteria. COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 0.4
Chloroflexi bacterium 5419 | Bioreactor (A0A1Q3SS95)
Pseudomonas alcaligenes | Experimnetally validated (Q9S3U6)
Deltaproteobacteria bacterium | Terrestrial, Soil (A0A1F9K2A2)
Streptomyces odonnellii | Terrestrial, Soil (UPI0004C7D6A2)
Deltaproteobacteria bacterium | Terrestrial, Soil (A0A1F9KKT3)
Kyrpidia tusciae strain DSM 2912 | Freshwater, Pond (D5WS41)
Hydrothermal vent metagenome | Marine, Hydrothermal vent (A0A160V9W9)
Armatimonadetes bacterium | Terrestrial, Soil (A0A1Q7Q8F3)
Microbacterium sp. Root53 | Terrestrial, Arabidopsis thaliana root (A0A0Q7UW44)
Leadbetterella sediminis | Freshwater sediment (A0A0P7C872)
Ca. Rokubacteria bacterium | Terrestrial, Soil (A0A1Q7GJ09)
Sulfolobales archaeon AZ1 | Freshwater, Acidic hot spring (W7KL35)
TOBG SP-2981
Chryseobacterium piperi | Freshwater, Creek (A0A086BJU5)
Streptomyces sp. AcH 505 | Terrestrial, Soil (A0A0C2AZL0)
Deltaproteobacteria bacterium | Terrestrail, Soil (A0A1F9JXN1)
Dyadobacter beijingensis | Terrestrial, Soil (UPI00037A3AB9)
Chloroflexi bacterium | Terrestrial, Soil (A0A1Q7MBJ3)
Pseudonocardia spinosispora | Terrestrial, Soil (UPI0003FB56B0)
MAG SAR202-VII-2 (Ga0133547_10000002_0146)
MAG SAR202-VII-2 (Ga0133547_10000004_0172)
Streptomyces sp. | Experimentally validated (Q7X284)
Deltaproteobacteria bacterium | Terrestrial, Soil (A0A1F9KQT30
Acidobacteria bacterium | Terrestrial, Soil (A0A1Q6XSE4)
Deltaproteobacteria bacterium | Terrestrial, Soil (A0A1F9KR35)
MAG SAR202-VII-2 (Ga0133547_10000004_0224)
Hydrothermal vent metagenome | Marine, Hydrothermal vent (A0A160V8U3)
Chloroflexi bacterium | Terrestrial, Soil (A0A1Q7QL69)
Betaproteobacteria bacterium | Freshwater, Groundwater (A0A1F3ZZ05)
Puniceibacterium sp. IMCC21224 | Marine, Coastal waters (A0A0J5QC59)
Pseudonocardia acaciae | Terrestrial, Acacia auriculiformis rhizosphere (UPI00048CFA4D)
Betaproteobacteria bacterium | Freshwater, Groundwater (A0A1F3ZF54)
Marinobacter algicola DG893 | Marine (A6F042)
Hydrogenophaga pseudoflava | (UPI00082636C0)
MAGSAR202-VII-2 (Ga0133547_10000002_0528)
Actinoplanes globisporus | Terrestrial, Soil (UPI00035C3EFA)
MAG SAR202-VII-2 (Ga0133547_10000360_0073)
Hydrothermal vent metagenome | Marine, Hydrothermal vent (A0A160V9N6)
Rhizobiales bacterium 6217 | Bioreactor (A0A1Q4BBC1)
Metallosphaera yellowstonensis MK1 | Freshwater, Thermal spring (H2C979)
Streptomyces avicenniae | Terrestrial, Avicennia mariana rhizosphere (UPI00069C8037)
Ca. Rokubacteria | Terrestrial, Soil (A0A1Q6Z3E1)
Mycobacterium sp. JS623 | Human, Soft tissue lesion (L0ITX6)
Photorhabdus temperata | Insect symbiont (W3V0B8)
Cohnella kolymensis | Terrestrial, Permafrost soil (A0A0C2QCW1)
Allosalinactinospora lopnorensis | Terrestrial, Tamarisk tree rhizosphere (UPI000623DDAE)
Conexibacter woesei | Terrestrial, Soil (D3FAR9)
Stigmatella aurantiaca | (A0A1H8DFG8)
Pusillimonas noertemannii | Freshwater, River water (UPI0002D6E76C)
TOBG EAC-693
TOBG SP-320
Deltaproteobacteria bacterium | Terrestrial, Soil (A0A1Q7J4E1)
Micromonospora rhizosphaerae | Terrestrial, Mangrove rhizosphere (A0A1C6SGZ1)
Deltaproteobacteria bacterium | Terrestrial, Soil (A0A1F9KR04)
Azohydromonas lata | (UPI000829F41D)
Solirubrobacter sp. URHD0082 | Terrestrial, Soil (UPI000422E0D1)
Paracoccus versutus | (A0A099FP16)
Actinoplanes globisporus | Terrestrial, Soil (UPI000371AF25)
Magnaporthe oryzae | Terrestrial (Q2KEQ4)
Chloroflexi bacterium | Terrestrial, Soil (A0A1Q8AAT0)
Deltaproteobacteria bacterium | Terrestrial, Soil (A0A1Q7JAY6)
TOBG NAT-93
Ca. Acidianus copahuensis | Freshwater, Acidic hot spring (A0A031LPX2)
Frankia sp. Results
h 3 Aromatic compound degradation genes and pathways in Arctic Ocean Chloroflexi MAGs. a Abundance of aromatic compound degradation genes in
Chloroflexi MAGs from the Canada Basin (pie chart) and a breakdown of those found specifically in SAR202-VII-2 (column plot). b Predicted aromatic
ring-opening enzymatic reactions identified in SAR202-VII-2 with gene loci displayed in the colored boxes. Genes in green and blue boxes were most
closely related to homologs from terrestrial or marine bacteria, respectively. Genes in the blue/green boxes were in clades containing diverse
environmental bacteria. c Examples of predicted aromatic ring-modifying enzymatic reactions identified in SAR202-VII-2
5 Decarboxylation
Hydroxylation
Demethylation
5,5′-dehydrodivanillate
O-demethylase
4,5-dihydroxyphthalate
decarboxylase
3-Phenylpropionate/
Trans-cinnamate dioxygenase
Biphenyl 2,3-dioxygenase
c
HO
HO
HO
HO
HO
HO
HO
HO
HO
OH
O
OH
HO
OH
O
O
O
O
OH
OH
OH
O
OH
O
O
HO
OH
OH
O
HO
HO
HO
HO
O
O
O
O
O
O
O
H
OH
OH
CH3
CH3
CH3 b c Decarboxylation 4,5-dihydroxyphthalate
decarboxylase Demethylation Fig. 3 Aromatic compound degradation genes and pathways in Arctic Ocean Chloroflexi MAGs. a Abundance of aromatic compound degradation genes in
Chloroflexi MAGs from the Canada Basin (pie chart) and a breakdown of those found specifically in SAR202-VII-2 (column plot). b Predicted aromatic
ring-opening enzymatic reactions identified in SAR202-VII-2 with gene loci displayed in the colored boxes. Genes in green and blue boxes were most
closely related to homologs from terrestrial or marine bacteria, respectively. Genes in the blue/green boxes were in clades containing diverse
environmental bacteria. c Examples of predicted aromatic ring-modifying enzymatic reactions identified in SAR202-VII-2 COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio 5 5 ARTICLE COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 Methods
S
li Sampling and DNA extraction. Twelve samples for metagenomics were collected
in September 2015 during the Joint Ocean Ice Study cruise to the Canada Basin. For each sample, 4–8 L of seawater was sequentially filtered through a 50 μm pore
mesh, followed by a 3 μm pore size polycarbonate filter and a 0.22 μm pore size
Sterivex filter (Durapore; Millipore, Billerica, MA, USA). Filters were preserved in
RNAlater and stored at −80 °C until processed in the laboratory. DNA was
extracted from the Sterivex filter using the following method: filters were thawed on
ice and RNAlater was removed. The Sterivex was then rinsed twice with a sucrose-
based lysis buffer, and filled with 1.8 mL of the lysis buffer. Filters were treated with
100 μL of 125 mg mL−1 lysozyme and 20 μL of 10 μg mL−1 RNAse A and left to
rotate at 37 °C for 1 h. After incubation, 100 μL of 10 mg mL−1 proteinase K and
100 μL of 20% SDS was added. Filters were left to rotate for 2 h at 55 °C. Lysate was
removed from the filters. Protein was precipitated and removed with 0.583 volumes
of MPC Protein Precipitation Reagent (Epicentre, Madison, WI, USA) and cen-
trifugation at 10,000×g at 4 °C for 10 min. The supernatant was transferred to a
clean tube. DNA was precipitated with cold isopropanol, and resuspended in low
TE buffer. Metagenomic fragment recruitment. The distribution of the Canada Basin
MAGs in the global ocean was determined using best-hit reciprocal blast analysis
similar to Landry et al.18 Unassembled metagenomic data from 25 samples
(Supplementary Data 1) was first recruited to the six Canada Basin Chloroflexi
MAGS as well as two SAR202 SAGs originating from the deep North Pacific Ocean
from the Hawaiian ocean time series (HOTS) and the deep North Atlantic
Ocean18. Metagenomes from the TARA Ocean project used here were repre-
sentative of the surface, chlorophyll maximum and mesopelagic waters from the
North Atlantic, South Atlantic, North Pacific, Coastal North Pacific, South Pacific,
Coast of Brazil and the Antarctic peninsula. To reduce computational demand,
only part 1 (1 Gbp of a random subset of reads) of each metagenomic dataset
available at EBI was used (Supplementary Data 1). Additional bathypelagic
metagenomes from the North Pacific and South Atlantic Oceans (LineP P04, P12
and P26, and Knorr S15 2500 m) were also included. Conclusions
l h In total, these results are consistent with Chloroflexi having a role
in tDOM transformation in waters of the Arctic Ocean. This is
the first study to our knowledge to associate a specific microbial
group with tDOM metabolism in the Arctic Ocean and it expands
on recent studies contributing to our understanding of the
metabolic diversity of the abundant yet uncultivated marine
Chloroflexi18,23. Moreover, lateral gene transfer from terrestrial
bacteria appears to have contributed to the evolution of aromatic
compound degradation capabilities within marine Chloroflexi,
particularly in regions of the Arctic Ocean impacted by
terrestrial input. Single protein and concatenated protein phylogenies. A concatenated protein
phylogeny was constructed using 30 Chloroflexi reference genomes and the
6 Canada Basin Chloroflexi MAGs. Orthologous genes in the 36 Chloroflexi
genomes were identified using ProteinOrtho38. Fifty orthologs present in at least
34 of the 36 genomes were selected for concatenated phylogenetic analysis (Sup-
plemetary Data 3). Each orthologous protein family was aligned using MUSCLE
(implemented in MEGA6) and alignment positions were masked using the prob-
abilistic masker ZORRO39, masking columns with weights <0.5. The concatenated
alignment consisted of 14,815 amino acid positions. Phylogenetic reconstructions
were conducted by maximum likelihood using MEGA6-v.0.6 and the following
settings: JTT substitution model, gamma distribution with invariant sites model for
the rate variation with four discrete gamma categories, and the nearest-neighbor
interchange (NNI) heuristic search method40 with a bootstrap analysis using 100
replicates. p
The majority of MAGs were restricted to the humic-rich
Pacific-origin halocline of the Canada Basin, however it is the
surface waters that will be most immediately affected by increased
freshwater input1. Hence, our initial observations suggest a need
for further research on the distribution of tDOM-utilizing
microbes in other Arctic water masses with an aim to establish
how common and phylogenetically widespread tDOM metabo-
lism is in the Arctic Ocean. These water masses could include
coastal surface waters at the mouth of the Mackenzie River, as
well as regions of differing DOM composition such as the East
Siberian Sea20. Moreover, metagenomic studies such as this are,
in essence, hypothesis-generating and future work that includes
targeted cultivation, in situ gene expression analysis, and rate
measurement-based approaches are required to validate and
quantify microbial metabolic contributions to nutrient cycling. Conclusions
l h Overall, it is likely that marine Chloroflexi have the capacity to
degrade tDOM, and their role in the Arctic carbon cycle may
increase as Arctic warming leads to greater inputs of terrestrial
organic matter. p
For phylogenetic analysis of ring-cleaving dioxygenase sequences identified in
SAR202-VII-2, query sequences were searched against UniRef90 and 130
Chloroflexi MAGs constructed from the TARA Oceans dataset29. The TARA
Ocean Chloroflexi MAGs were used as is with no manual curation. UniRef90 sequences and the top TARA Ocean MAG hits for each dioxygenase
were aligned with their respective SAR202-VII-2 homologs with MUSCLE
(implemented in MEGA6) and alignment positions were masked using the
probabilistic masker ZORRO39, masking columns with weights less than 0.5. Phylogenetic reconstruction was conducted using the same settings as the
concatenated phylogeny. Comparative genomics and metabolic reconstruction. The distribution of
orthologs across Arctic Ocean genomes, as well as the identification of orthologs
shared with the deep ocean SAGs, was determined using proteinortho38. Inference
of protein function and metabolic reconstruction was based on the IMG annota-
tions provided by the JGI, including KEGG, Pfam, EC numbers, and Metacyc
annotations. Metabolic reconstruction was also facilitated by generated pathway
genome databases for each MAG using the pathologic software available through
Pathway Tools41. ARTICLE The taxonomic identity of
MAGs was assessed using a concatenated phylogenetic tree based on 138 single
copy conserved genes as implemented in MetaWatt32. Visualization of the tree and
mapping of data on to taxa was performed with iTOL33. Estimation of MAG
completeness and contamination was performed using CheckM34. Six Chloroflexi
MAGs were selected for further analysis based on the presence of a 16S rRNA gene,
high completeness and low contamination. Manual curation of the six Chloroflexi
MAGs was performed and suspected contaminating scaffolds (single copy genes
most similar to non-Chloroflexi taxa) were removed prior to further analysis of
MAGs. 16S rRNA phylogenetic analysis. Chloroflexi diversity in the metagenomic
assembly was assessed by 16S rRNA gene analysis. All 16S rRNA genes in the co-
assembly were assigned to taxonomic groups using mothur35 and the Wang
method with a bootstrap value cutoff of 60%36. Chloroflexi 16S rRNA genes greater
than 360 bp were included in a phylogenetic analysis with Chloroflexi reference
sequences. A multiple sequence alignment was generated using MUSCLE (imple-
mented in MEGA6)37. Phylogenetic reconstructions were conducted by maximum
likelihood using MEGA6-v.0.6 and the following settings: general time reversible
model, gamma distribution model for the rate variation with four discrete gamma
categories, and the nearest-neighbor interchange (NNI) heuristic search method38
with a bootstrap analysis using 100 replicates. ARTICLE ARTICLE and 6), Beta-proteobacteria (Supplementary Figure 7) and a clade
of diverse terrestrial phyla (Supplementary Figure 8). Addition-
ally, 2 gentisate 1,2-dioxygenase genes and 1 protocatechuate
dioxygenase ligB gene were phylogenetically associated to a
clade of genes from both terrestrial Delta-proteobacteria and
marine microbes (Fig. 4 and Supplementary Figure 8). These
putative gene acquisitions were unlikely due to contaminating
scaffolds because the genes were located on long scaffolds that
were assigned to Chloroflexi with high confidence based on tet-
ranucleotide frequencies and the phylogenetic identity of house-
keeping
genes. Such
a
phylogenetic
pattern
supports
the
hypothesis that marine Chloroflexi acquired the capacity for
aromatic compound degradation, at least in part, by lateral gene
transfer from terrestrial bacteria. Paired-end sequences of 2 × 150 bp were generated for all libraries. A metagenome
co-assembly of all raw reads was generated using MEGAHIT30 with kmer sizes of
23,43,63,83,103,123. Gene prediction and annotation was performed using the
DOE Joint Genome Institute’s Integrated Microbial Genomes (IMG) database tool
(version 4.11.0)31. Metagenomic binning was performed on scaffolds ≥10 kb in
length using MetaWatt32. Relative weight of coverage binning was set to 0.75 and
the optimize bins and polish bins options were set to on. The taxonomic identity of
MAGs was assessed using a concatenated phylogenetic tree based on 138 single
copy conserved genes as implemented in MetaWatt32. Visualization of the tree and
mapping of data on to taxa was performed with iTOL33. Estimation of MAG
completeness and contamination was performed using CheckM34. Six Chloroflexi
MAGs were selected for further analysis based on the presence of a 16S rRNA gene,
high completeness and low contamination. Manual curation of the six Chloroflexi
MAGs was performed and suspected contaminating scaffolds (single copy genes
most similar to non-Chloroflexi taxa) were removed prior to further analysis of
MAGs. Paired-end sequences of 2 × 150 bp were generated for all libraries. A metagenome
co-assembly of all raw reads was generated using MEGAHIT30 with kmer sizes of
23,43,63,83,103,123. Gene prediction and annotation was performed using the
DOE Joint Genome Institute’s Integrated Microbial Genomes (IMG) database tool
(version 4.11.0)31. Metagenomic binning was performed on scaffolds ≥10 kb in
length using MetaWatt32. Relative weight of coverage binning was set to 0.75 and
the optimize bins and polish bins options were set to on. COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 Iso899 | Terrestrial, Soil (UPI0003B34178)
MAG SAR202-VII-2 (Ga0133547_10000060_0179)
Burkholderiaceae arationis LMG 29324 | Terrestrial, Soil (A0A158B6L5)
Sulfitobacter geojensis | Marine, Coastal waters (UPI00046AA492)
Acidobacteria bacterium | Terrestrial, Soil (A0A1Q7MJD6)
Streptomyces sp. MnatMPM17 | Terrestrial, Soil (A0A1C5CS47)
TOBG SAT-91
Acidobacteria bacterium | Freshwater, Groundwater (A0A1F2T6K4)
Armatimonadetes bacterium CSP13 | Freshwater sediments (A0A0T6ART8)
TOBG SP-253
Marine sediment metagenome | Marine sediments (A0A0F9CXY8)
Alphaproteobacteria bacterium | Terrestrial, Soil (A0A1Q7BII2)
Marine microorganism HF4000ANIW93N21 | Marine (B3T345)
MAG SAR202-VII-2 (Ga0133547_10000103_0019)
Nodosilinea nodulosa | Marine (UPI0003025B02)
Haloferax sp. | Experimentally validated (Q330M9)
Deltaproteobacteria bacterium | Freshwater, Groundwater (A0A1F8XVR5)
Chromobacterium sp. LK11 | Terrestrial (A0A0J6NGJ2)
Nocardia arthritidis | Human (UPI0007A3EF410)
Pseudonocardia sp. CNS139 | Marine, Sediment (A0A1Q9SZW9)
87
100
96
100
78
100
98
100
92
100
100
75
83
100
93
99
100
100
100
73
100
100
100
100
98
94
65
100
74
100
100
64
100
97
100
60
95
74
100
93
Actinomycetales
kelihood tree of predicted gentisate 1,2-dioxygenases. Bootstrap values of >60% are shown (100 replicates). Homologs
ed in red and homologs from TARA Ocean MAGs are highlighted in blue Fig. 4 Maximum likelihood tree of predicted gentisate 1,2-dioxygenases. Bootstrap values of >60% are shown (100 replicates). Homologs from SAR202-
VII-2 are highlighted in red and homologs from TARA Ocean MAGs are highlighted in blue Fig. 4 Maximum likelihood tree of predicted gentisate 1,2-dioxygenases. Bootstrap values of >60% are shown (100 replicates). Homologs from SAR202-
VII-2 are highlighted in red and homologs from TARA Ocean MAGs are highlighted in blue Fig. 4 Maximum likelihood tree of predicted gentisate 1,2-dioxygenases. Bootstrap values of >60% are shown (100 replicates). Homologs from SAR202-
VII-2 are highlighted in red and homologs from TARA Ocean MAGs are highlighted in blue Fig. 4 Maximum likelihood tree of predicted gentisate 1,2-dioxygenases. Bootstrap values of >60% are shown (100 replicates). Homologs from SAR202-
VII-2 are highlighted in red and homologs from TARA Ocean MAGs are highlighted in blue COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio 6 COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 References Biochemistry of Marine Dissolved Organic
Matter 2nd ed (Academic Press, Amsterdam, 2015). 34. Parks, D. H., Imelfort, M., Skennerton, C. T., Hugenholtz, P. & Tyson, G. W. CheckM: assessing the quality of microbial genomes recovered from isolates,
single cells, and metagenomes. Genome Res. 25, 1043–1055 (2015). 9. Kaiser, K., Benner, R. & Amon, R. M. W. The fate of terrigenous dissolved
organic carbon on the Eurasian shelves and export to the North Atlantic. J. Geophy. Res. 122, 4–20 (2017). 35. Schloss, P. D. et al. Introducing mothur: open-source, platform-independent,
community-supported software for describing and comparing microbial
communities. Appl. Environ. Microbiol. 75, 7537–7541 (2009). 10. Giovannoni, S. J., Rappé, M. S., Vergin, K. L. & Adair, N. L. 16S rRNA genes
reveal stratified open ocean bacterioplankton populations related to the green
non-sulfur bacteria. Proc. Natl Acad. Sci. USA 93, 7979–7984
(1996). 36. Wang, Q., Garrity, G. M., Tiedje, J. M. & Cole, J. R. Naïve bayesian classifier
for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 73, 5261–5267 (2007). 11. DeLong, E. F. et al. Community genomics among stratified microbial
assemblages in the ocean’s interior. Science 311, 496–503 (2006). pp
37. Edgar, R. C. MUSCLE: multiple sequence alignment with high accuracy and
high throughput. Nucleic Acids Res. 32, 1792–1797 (2004). 12. Morris, R. M., Rappé, M. S., Urbach, E., Conon, S. A. & Giovannoni, S. J. Prevalence of the chloroflexi-related SAR202 bacterioplankton cluster
throughout the mesopelagic zone and deep ocean. Appl. Environ. Microbiol. 70, 2836–2842 (2004). g
g p
38. Lechner, M. et al. Proteinortho: detection of (co-)orthologs in large-scale
analysis. BMC Bioinformatics 12, 124 (2011). 39. Wu, M., Chatterji, S. & Eisen, J. A. Accounting for alignment uncertainty in
phylogenomics. PLoS ONE 7, e30288 (2012). 13. Schattenhofer, M. et al. Latitudinal distribution of prokaryotic picoplankton
populations in the Atlantic ocean. Environ. Microbiol. 11, 2078–2093
(2009). 40. Tamura, K., Stecher, G., Peterson, D., Filipski, A. & Kumar, S. MEGA6:
molecular evolutionary genetics analysis version 6.0. Mol. Biol. Evol. 30,
2725–2729 (2013). 14. Varela, M. M., van Aken, H. M. & Herndl, G. J. Abundance and activity
of Chloroflexi-type SAR202 bacterioplankton in the meso- and bathypelagic
waters of the (sub)tropical Atlantic. Environ. Microbiol. 10, 1903–1911
(2008). 41. Karp, P. D., Latendresse, M. & Caspi, R. The pathway tools pathway
prediction algorithm. Stand. Genom. Sci. 5, 424–429 (2011). 42. Schlitzer, R. Ocean data view. http://odv.awi.de (2016). 15. References 1. Carmack, E. C. et al. Freshwater and its role in the Arctic marine system:
sources, disposition, storage, export, and physical and biogeochemical
consequences in the Arctic and global oceans. J. Geophys. Res. Biogeosci. 121,
675–717 (2016). 27. Fetzner, S. Ring-cleaving dioxygenases with a cupin fold. Appl. Environ. Microbiol. 78, 2505–2514 (2012). 28. Fuchs, G., Boll, M. & Heider, J. Microbial degradation of aromatic
compounds—from one strategy to four. Nat. Rev. Microbiol. 9, 803–816
(2011). 2. Benner, R., Benitez-Nelson, B., Kaiser, K. & Amon, R. M. W. Export of young
terrigenous dissolved organic carbon from rivers to the Arctic Ocean. Geophys. Res. Lett. 31, 1–4 (2004). 29. Tully, B., Graham, E. D. & Heidelberg, J. F. The reconstruction of 2,631 draft
metagenome-assembled-genomes from the global oceans. Sci. Data. 5, 170203
(2018). 3. Opsahl, S., Benner, R. & Amon, R. M. W. Major flux of terrigenous dissolved
organic matter through the Arctic Ocean. Limnol. Oceanogr. 44, 2017–2022
(1999). 30. Li, D., Liu, C.-M., Luo, R., Sadakane, K. & Lam, T.-W. MEGAHIT: an ultra-
fast single-node solution for large and complex metagenomics assembly via
succinct de Bruijn graph. Bioinformatics 31, 1674–1676 (2015). 4. Bintanja, R. & Andry, O. Towards a rain-dominated Arctic. Nat. Clim. Change
7, 263–267 (2017). 31. Huntemann, M. et al. The standard operating procedure of the DOE-JGI
Metagenome Annotation Pipeline (MAP v.4). Stand. Genom. Sci. 11, 1–17
(2016). 5. Frey, K. E. & McCelland, J. W. Impacts of permafrost degradation on arctic
river biogeochemistry. Hydrol. Process 23, 169–182 (2009). g
y
y
6. Vonk, J. E. et al. Activation of old carbon by erosion of coastal and subsea
permafrost in Arctic Siberia Nature 489 137 140 (2012) 6. Vonk, J. E. et al. Activation of old carbon by erosion of coastal and subsea
permafrost in Arctic Siberia. Nature 489, 137–140 (2012). 32. Strous, M., Kraft, B., Bisdorf, R. & Tegetmeyer, H. E. The binning of
metagenomic contigs for microbial physiology of mixed cultures. Front. Microbiol. 3, 1–11 (2012). permafrost in Arctic Siberia. Nature 489, 137–140 (2012). 7. Jiao, N. et al. Microbial production of recalcitrant dissolved organic matter:
long-term carbon storage in the global ocean. Nat. Rev. Microbiol. 8, 593–599
(2010). 33. Letunic, I. & Bork, P. Interactive tree of life (iTOL)v3: an online tool for
display and annotation of phylogenetic and other trees. Nucleic Acids Res. 44,
242–245 (2016). 8. Hansell, D. A. & Carlson, C. A. References Urbach, E. et al. Unusual bacterioplankton community structure in ultra-
oligotrophic Crater Lake. Limnol. Oceanogr. 46, 557–572 (2001). COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 Received: 6 November 2017 Accepted: 24 May 2018 Received: 6 November 2017 Accepted: 24 May 2018 Received: 6 November 2017 Accepted: 24 May 2018 25. Kasai, D., Masai, E., Miyauchu, K., Katayama, Y. & Fukuda, M. Characterization of the gallate dioxygenases are involved in syringate
degradation by Sphingomonas paucimobilis SYK-6. J. Bacteriol. 187,
5067–5074 (2005). 26. Werwath, J., Arfmann, H.-A., Pieper, D. H., Timmis, K. N. & Wittich, R.-M. Biochemical and genetic characterization of a gentisate 1,2-dioxygenase from
Sphingomonas sp. Strain RW5. J. Bacteriol. 180, 4171–4176 (1998). Methods
S
li All hits from the initial blast
were then reciprocally queried against the Canada Basin Chloroflexi MAGs,
bathypelagic SAR202 SAGs, and 130 Chloroflexi MAGs constructed from the Metagenomic sequencing, assembly, annotation, and binning. DNA sequen-
cing of 12 samples was performed at the Department of Energy Joint Genome
Institute (Walnut Creek, CA, USA) on the HiSeq 2500-1TB (Illumina) platform. 7 COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio MMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 TARA oceans data. The best-hit was reported. Only hits with an alignment length
≥100 bp and a percent identity of 95% or more were counted (lower % identity cut-
offs did not alter the number of reads recruited in any significant manner). To
compare the results among the different datasets, the number of recruited reads
was normalized to total number of reads in each sample. The final coverage results
were expressed as the number of reads per kilobase of the MAG per gigabase of
metagenome (rpkg). 18. Landry, Z., Swan, B. K., Herndl, G. J., Stepanauskas, R. & Giovannoni, S. J. SAR202 genomes from the dark ocean predict pathways for the oxidation of
recalcitrant dissolved organic matter. mBio 8, e00413–e00417 (2017). 19. Bano, N. & Hollibaugh, J. T. Phylogenetic composition of bacterioplankton
assemblages from the Arctic ocean. Appl. Environ. Microbiol. 68, 505–528
(2002). 20. Guéguen, C. et al. The nature of colored dissolved organic matter in the
southern Canada Basin and East Siberian Sea. Deep Sea Res. Part 2 81-84,
102–113 (2012). Data availability. The metagenomic data generated in this study are available in
the Integrated Microbial Genomes database at the Joint Genome Institute at
https://img.jgi.doe.gov, GOLD Project ID: Ga0133547. Metagenome-assembled
genome projects have been deposited at DDBJ/ENA/GenBank under the Bioproject
PRJNA471535 and accession numbers QGNM00000000 (for SAR202-II-3),
QGNN00000000 (for SAR202-II-177A), QGNO00000000 (for SAR202-VI-29A),
QEVV00000000 (for SAR202-VII-2), QGNP00000000 (for Anck29-46), and
QGNQ00000000 (for TK10-74A). The versions described in this paper are versions
QGNM01000000 (for SAR202-II-3), QGNN01000000 (for SAR202-II-177A),
QGNO01000000 (for SAR202-VI-29A), QEVV01000000 (for SAR202-VII-2),
QGNP01000000 (for Anck29-46), and QGNQ01000000 (for TK10-74A). 21. Dainard, P. G. & Guéguen, C. Distribution of PARAFAC modeled CDOM
components in the North Pacific Ocean, Bering, Chukchi and Beaufort Seas. Mar. Chem. 157, 216–223 (2013). 22. Dainard, P. G., Guéguen, C., McDonald, N. & Williams, W. J. Photobleaching
of fluorescent dissolved organic matter in Beaufort Sea and North Atlantic
Subtropical Gyre. Mar. Chem. 177, 630–637 (2015). p
y
23. Thrash, J. C. et al. Metabolic roles of uncultivated bacterioplankton
lineages in the Northern Gulf of Mexico “dead zone”. mBio 8, e01017–e01017
(2017). 24. Barry, K. P. & Taylor, E. A. Characterizing the promiscuity of LigAB, a lignin
catabolite degrading extradiol dioxygenase from Sphingomonas paucimobilis
SYK-6. Biochemistry 52, 6724–6736 (2013). Reprints and permission information is available online at http://npg.nature.com/
reprintsandpermissions/ Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations. Reprints and permission information is available online at http://npg.nature.com/
reprintsandpermissions/ Reprints and permission information is available online at http://npg.nature.com/
reprintsandpermissions/ Research Chair Program (D.W., C.G.) are acknowledged. D.C. was supported by FRQNT
and Concordia’s Institute for Water, Energy and Sustainable Systems. Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations. COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 Competing interests: The authors declare no competing interests. DE-AC02-05CH11231. Funding from the Canadian Natural Science and Engineering
Research Council (NSERC) Discovery grants (D.W., C.G. and C.L.) and the Canada
Research Chair Program (D.W., C.G.) are acknowledged. D.C. was supported by FRQNT
and Concordia’s Institute for Water, Energy and Sustainable Systems. DE-AC02-05CH11231. Funding from the Canadian Natural Science and Engineering
Research Council (NSERC) Discovery grants (D.W., C.G. and C.L.) and the Canada Acknowledgements 16. Urbach, E., Vergin, K. L., Larson, G. L. & Giovannoni, S. J. Bacterioplankton
communities of Crater Lake, OR: dynamic changes with euphotic zone food
web structure and stable deep water populations. Hydrobiologia 574, 161–177
(2007). The data were collected aboard the CCGS Louis S. St-Laurent in collaboration with
researchers from Fisheries and Oceans Canada at the Institute of Ocean Sciences and
Woods Hole Oceanographic Institution’s Beaufort Gyre Exploration Program and are
available at http://www.whoi.edu/beaufortgyre. We would like to thank both the 17. Yamada, T. & Sekiguchi, Y. Cultivation of uncultured Chloroflexi subphyla:
significance and ecophysiology of formerly uncultured Chloroflexi
“subphylum I” with natural and biotechnological relevance. Microbes Environ. 24, 205–216 (2009). Captain and crew of the CCGS Louis S. St-Laurent and the scientific teams aboard. The
work was conducted in collaboration with the U.S. Department of Energy Joint Genome
Institute, a DOE Office of Science User Facility, and was supported under Contract No. 8 COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio ARTICLE COMMUNICATIONS BIOLOGY | DOI: 10.1038/s42003-018-0086-7 Authors contributions D.C. and D.W. designed and carried out the metagenomic experiments. W.J.W., C.L. and
C.G. designed the sampling strategy. W.J.W. provided oceanographic data. D.W. col-
lected samples. D.C. extracted the environmental genomic DNA and analyzed sequen-
cing data. P.T. contributed to the bioinformatic analyses. D.C. and D.W. with
contributions from C.G. and C.L. wrote the manuscript. All authors commented on the
manuscript. Open Access This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative
Commons license, and indicate if changes were made. The images or other third party
material in this article are included in the article’s Creative Commons license, unless
indicated otherwise in a credit line to the material. If material is not included in the
article’s Creative Commons license and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this license, visit http://creativecommons.org/
licenses/by/4.0/. Reprints and permission information is available online at http://npg.nature.com/
reprintsandpermissions/ Additional information
l
f © The Author(s) 2018 Supplementary information accompanies this paper at https://doi.org/10.1038/s42003-
018-0086-7. © The Author(s) 2018 COMMUNICATIONS BIOLOGY | (2018) 1:90 | DOI: 10.1038/s42003-018-0086-7 | www.nature.com/commsbio 9
|
https://openalex.org/W4385718095
|
https://www.researchsquare.com/article/rs-3215723/latest.pdf
|
English
| null |
Factors affecting public transportation in the Covid-19 period
|
Research Square (Research Square)
| 2,023
|
cc-by
| 8,966
|
Factors affecting public
period
Tünde Kovács
(
kovacs.tunde.zita@econ.unid
University of Debrecen
László Huzsvai
University of Debrecen
Adrián Nagy
University of Debrecen
András Nábrádi
University of Debrecen
Szabolcs Tóth
University of Debrecen
Beáta Bittner
University of Debrecen Research Article License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full
License Additional Declarations: No competing interests reported. Additional Declarations: No competing interests reported. Version of Record: A version of this preprint was published at Sustainability on October 26th, 2023. See the
published version at https://doi.org/10.3390/su152115310. Page 1/24 Page 1/24 Abstract In the European Union Member States, the share of public transport use from the turn of the millennium to the
beginning of the pandemic period was 17–18%, while in Hungary, it was 27%. The number of public transport
users has fallen due to the Covid-19 virus to 13% in the EU and 21% in Hungary. The decrease can be attributed
to changes in travel habits and the impact of the measures taken in the context of the virus situation. In
Debrecen, Hungary's second-largest city, the situation is similar. During a shorter period of the first wave of the
virus, the public service operator realized only 30% of its usual revenue. The present study analyzes the
relationship between the number of active cases of Covid-19, the impact of the measures taken and the number
of paying passengers on public transport in Debrecen. Four hypotheses were put forward: 1) travel tickets, 2)
general passes, 3) discount passes and 4) supplement passes were influenced by the evolution of Covid-19's
active caseload. The data were collected from the Debrecen Transport Company (DKV) for 2020.01–2021.12,
and the active Covid-19 case numbers were collected from the Worldometers.info database. Statistical analyses
were performed using the ARMA (autoregressive and moving-average) model. We found that all four of our
hypotheses had to be rejected, as Covid's active caseload did not influence sales of tickets and various passes. 1. Introduction With the intensification of urbanization processes, the evolution of urban mobility and the possibilities for its
development are nowadays a focus of the transport profession (Barbosa et al., 2021). In recent decades, private
transport has played an increasingly important role in passenger transport in the Member States of the
European Union (EU). In contrast, the use of public transport has gradually decreased, which was also observed
in Hungary (Hungarian Central Statistical Office (KSH), 2021). Increasing road congestion means it takes longer
to reach our destinations (Pouliakas, 2018). These processes are becoming an increasing problem for the
livability of cities, with more and more vehicles on the roads. Several factors influence the decline in the number of passengers using public transport. In addition to the
dynamic increase in the number of cars, the development of cycling, scooter transport and ridesharing systems
may also reduce the number of people using public transport (Anagnostopoulou et al., 2020). In recent years, in
addition to the underlying decline in passenger numbers, the effects of the Covid-19 pandemic and the
measures taken during this period have also reduced the number of people using public transport. According to
Continental's Mobility Study 2020, the Covid-19 pandemic has increased the importance of private or individual
transport (Continental AG, 2020; Furcher et al., 2021). At the same time, the number of people using public
transport has fallen, for example, by half in Germany and over 50% in Japan and China. An analysis of the proportion of individual and public transport users in the EU Member States shows that from
the turn of the millennium until the beginning of the pandemic, the proportion of people using public transport
for passenger transport was around 17–18%. The share of rail and suburban and local transport users (Fig. 1)
remained relatively stagnant during these years. Although these figures still show a more favourable picture for
Hungary than the EU average, they show a significant downward trend over this period. The overall 38% in the
early 2000s had fallen below Hungary's 27% modal split by the year before the pandemic. On 11 March 2020, the World Health Organization (WHO) declared the outbreak of the new coronavirus a global
pandemic (WHO, 2020). 1. Introduction At the same time, the Hungarian government declared a state of emergency and a state Page 2/24 Page 2/24 Page 2/24 of public health emergency for the whole country on the same day (Ministry of Justice, 2020b). The decree was
followed by a series of restrictive measures, all with one thing in common: limiting personal contacts to prevent
the spread of the epidemic. These provisions had severe economic and social implications, including mobility in
all its forms. Today, the proportion of people using social networking tools has fallen further due to the viral
situation, to 13% in the EU and 21% in Hungary. It can be argued that this is due to changes in travel habits
during the pandemic period (people's fear of the virus spreading faster in confined spaces) and the effects of the
measures taken in the context of the epidemic situation, which has had a significant impact on public transport
in the city of Debrecen. The seat occupancy rate and fare revenues have been significantly reduced. During the
first, shorter period of the first wave of the virus, the public service operator realized about 30% of its regular
revenues. Transport experts had already predicted a slower "bounce-back" at the beginning of the virus' spread,
expecting the population to return to public transport after up to five years. That ridership would return to the
levels seen in previous years. The two years since then confirm these predictions, with a slow recovery in
ridership and revenue. This study examines the impact of the Covid-19 epidemic and the measures taken to evolve the number of
paying passengers in the city of Debrecen. The following working hypotheses have been formulated: H1: Sales of travel tickets were influenced by the evolution of active caseloads. H2: Sales of general passes were influenced by the evolution of active caseloads. H3: Sales of discounted passes were influenced by the evolution of active caseloads. H3: Sales of discounted passes were influenced by the evolution of active caseloads. H4: Sales of supplement passes were influenced by the evolution of active caseloads. H4: Sales of supplement passes were influenced by the evolution of active caseloads. 2. Literature review Their analysis highlights that,
instead of strict lockdowns that might seriously damage the economy, milder travel restrictions could have a
similar impact on controlling the domestic transmission of Covid-19 without devastating economic damage. Tirachini & Cats (2020) stated if public transportation is perceived as unsafe and unhealthy by large segments
of the population, it will not be able to fulfill the societal roles that it is set to serve, including accessibility,
sustainability, and equity. Our societies need public transportation services to prosper and to address key
societal challenges that are paramount and persistent. It is therefore critical to avoid contributing to stereotyping
the use of public transportation as unhealthy, which may outlive the pandemic itself and hinder the long-term
prospects of public transportation services. The results of the above studies, while different in approach, confirm that over-restrictive measures and closures
impose more burdens on the economy than they bring benefits. In the present study, we examine this at the firm
level, from the perspective of a public transport operator, by looking at the effects of Covid-19 measures. 2. Literature review In this paper, we look at the impact of COVID-19 on public transport. The study's uniqueness lies in the fact that
we analyzed not only the relationship between the number of active cases of Covid-19 but also the impact of the
measures taken and the number of paying passengers on public transport. Many studies have examined the
impact of the pandemic on the service sector since its spread in 2020 (Bittner & Gavaldi, 2021; Bittner & Posta,
2020; Dominiak, 2022; Gunay & Kurtulmus, 2021; Lee & Eom, 2023; Mazzucato & Kattel, 2020; Prentice et al.,
2021; Vida & Popovics, 2020; Xiang et al., 2021). Still, only 44 in the Web of Science (WoS) database collection
have examined the effects of Covid-19 restrictions on public transport. Research by Meena & Sharma (2020)
and Tóth et al. (2022) shows that since the pandemic, consumers have preferred to travel individually rather
than by public transport. The study by Fumagalli et al. (2022) in Curitiba, Brazil, showed an 80% drop in public
transport in March 2020, with 1,36 million daily passengers down to 200.000. In line with our present research,
they also showed that this was partly due to the spread of the virus, but they also highlighted that it was partly
due to strict measures such as cancelling more flights. However, they did not investigate the role of case
numbers and measures in this decline. They found that 90% of passengers use the same route every day, given
that a large proportion of the travelling public are commuters and students, and suggested that their travel
habits should be studied to design ways and services that are convenient for them. Page 3/24 Page 3/24 Proper scaling and scheduling to connect people's daily activities can bring more comfort and safety during the
Covid-19 pandemic and give users more time synchronized with their routines. Luo et al. (2022) also came to
this conclusion when studying public transport in New York. Based on the Covid-19 pandemic, they stated that a
well-planned subway system in New York City could sustain 88% of transit flow while reducing the risk of
disease transmission by 50% relative to fully-loaded public transit systems. Wang et al. (2022) analyzed the
effects of government measures by comparing data from 121 countries on morbidity and mortality. They
highlighted misguided measures and their consequences, focusing on public transport. 2. Literature review They concluded that
without public transportation closures, cases and deaths would have been reduced by 40% and 10%,
respectively. In Japan, Murano et al. (2021) examined the impact of government measures in the context of
public transport, but they looked at the effect on the spread of the virus, not the economics, as this study does. However, many of their conclusions align with the present study's findings. Their analysis highlights that,
instead of strict lockdowns that might seriously damage the economy, milder travel restrictions could have a
similar impact on controlling the domestic transmission of Covid-19 without devastating economic damage. Tirachini & Cats (2020) stated if public transportation is perceived as unsafe and unhealthy by large segments
of the population, it will not be able to fulfill the societal roles that it is set to serve, including accessibility,
sustainability, and equity. Our societies need public transportation services to prosper and to address key
societal challenges that are paramount and persistent. It is therefore critical to avoid contributing to stereotyping
the use of public transportation as unhealthy, which may outlive the pandemic itself and hinder the long-term
prospects of public transportation services. Proper scaling and scheduling to connect people's daily activities can bring more comfort and safety during the
Covid-19 pandemic and give users more time synchronized with their routines. Luo et al. (2022) also came to
this conclusion when studying public transport in New York. Based on the Covid-19 pandemic, they stated that a
well-planned subway system in New York City could sustain 88% of transit flow while reducing the risk of
disease transmission by 50% relative to fully-loaded public transit systems. Wang et al. (2022) analyzed the
effects of government measures by comparing data from 121 countries on morbidity and mortality. They
highlighted misguided measures and their consequences, focusing on public transport. They concluded that
without public transportation closures, cases and deaths would have been reduced by 40% and 10%, respectively. In Japan, Murano et al. (2021) examined the impact of government measures in the context of
public transport, but they looked at the effect on the spread of the virus, not the economics, as this study does. However, many of their conclusions align with the present study's findings. 3. Public transportation in Debrecen The evolution of passenger numbers in the city of Debrecen also shows changes in the modal split at the
European and national transport levels (Tóth et al., 2022). In the years preceding the pandemic, passenger
numbers showed a slight increase due to the stability and improvements in service quality. Nearly 100 million trips are made to the city each year. Commuters mainly use the services on their daily
commute to work and school. In Debrecen, tourism has become increasingly important in recent years, so the
number of ad-hoc trips is also significant. These passengers mainly buy one-way travel tickets or day tickets. Thanks to its geographical location and role as an economic, educational and health centre, the city is a prime
destination for daily commuters from the agglomeration and the surrounding cities. In addition to the travel
tickets, these residents can buy supplement passes to accompany general passes. The city's sales figures show that around 25% of fare revenue comes from travel tickets and 75% from passes. Within passes, combined general passes represent about 51%, discounted passes 36%, and supplement passes
13% (Fig. 2). The most significant number of passengers buying passes comprises workers and students,
representing over 90% of total passes. Page 4/24 Page 4/24 Page 4/24 In addition to fare revenue, a significant share of revenue is represented by social policy fare subsidies, which
are the supplementary fare for discounted passes and the subsidy for free travel. In addition to fare revenue, a significant share of revenue is represented by social policy fare subsidies, which
are the supplementary fare for discounted passes and the subsidy for free travel. Data from travel ticket and pass sales cannot always be linked to the actual use of the service. While the actual
use time can be well determined for general passes and travel tickets, this cannot be reported for pre-purchase
tickets. Tickets are sold through external partners in addition to service ticket offices, ticket vending machines
and onboard points. These partners tend to stock larger quantities at a time, which may distort the time series
derived from the sales data and the time series characterizing the use of fare products. Typically, they occur at
the beginning and end of the year, but also continuously. Travel tickets are used in local public transport for ad-hoc journeys, including tourists arriving in the city, but the
less frequent traveller population buys these fare products. 3. Public transportation in Debrecen A segment of the population also mainly uses these
services in combination with private transport, for example, people who use these means of transport to access
the city centre less frequently, to do business or for entertainment. Many car users also park their cars in external
nonpaying zones and use public transport to reach their destination due to the high parking tariffs in the city
centre. A slight increase in the consumption of travel tickets is most noticeable in the summer months, which is
to a lesser extent linked to the school holidays when students no longer travel daily. However, more frequent, daily travellers will buy longer distance, unlimited-use fare products, e.g. (monthly/yearly) passes, after considering whether the network and the associated timetable service is an
appropriate transport alternative to reach their destination. Seasonality can also be observed for these passes,
as, for example, a significant part of annual holidays is spent in the summer and winter months, so fractional
months are solved by using a travel ticket for a shorter period or ad hoc travel or even by other means of
transport. Discounted passes also show a diverging trend during school and non-school periods, primarily
reflecting the travel habits of students. The long-term trend in selling discounted passes for pensioners is affected by the constantly decreasing number
of people entitled, as the number of retirees under 65 is falling yearly. 4.1. Used databases The sales records of the DKV for the period between 01.01.2020 and 31.12.2021 were provided by the
company's sales department. The sales data were provided monthly, but in the case of the means of transport
entitlement, we aggregated the data and created four main groups, as follows: The group of travel tickets include the following items: single advance tickets, single mobile tickets, a single
ticket from the driver, a block of 11 tickets, small group tickets, one our mobile tickets, one-, three- and
seven-day tickets, tickets for student groups and three-day family tickets. The group of travel tickets include the following items: single advance tickets, single mobile tickets, a single
ticket from the driver, a block of 11 tickets, small group tickets, one our mobile tickets, one-, three- and
seven-day tickets, tickets for student groups and three-day family tickets. General passes include half-monthly, monthly, yearly, and transferable passes General passes include half-monthly, monthly, yearly, and transferable passes as a group rate. The following passes have been grouped under discounted passes: student monthly combined passes,
pensioner monthly combined passes and passenger with young children pass. The following passes have been grouped under discounted passes: student monthly combined passes,
pensioner monthly combined passes and passenger with young children pass. Page 5/24 Page 5/24 The supplement passes include the general monthly pass supplements and the student monthly pass
supplements. The supplement passes include the general monthly pass supplements and the student monthly pass
supplements. The groups representing each travel entitlement are based on the DKV recommendation. Data related to the Covid-19 epidemic are from Worldometers.info (2022). Worldmeters' publisher is a small,
independent, US-based digital media company, and the operating team is made up of developers, cadres and
volunteers. Worldmeter's data on the outbreak is obtained from official government reports or indirectly from
local media sources deemed reliable by the publisher. For our calculations of the outbreak data, we used the
Active Case Rate indicator, which is calculated using the formula below: The Active Cases = (total cases) - (total deaths) – (recovered) so the active case figure represents the current number of people detected and confirmed to be infected with the
virus. Data published on the Worldmeters.info website are daily. Sometimes, we must combine daily data and
produce monthly statistics. 4.2. Correlation analysis and stochastic time series ARMA
model Pearson's correlation coefficient (1901) was used to test the correlation between the different means of
providing transport entitlements. The correlation between active caseloads and travel entitlements was performed using stochastic time series
analysis. We chose this method because we had a relatively short time series with only 24 months of data. On
the other hand, we believe that random effects and stresses on the process are built into the phenomenon and
have a process-building role in the longer term. Time series that considers the role of chance, stochastic time
series, started to become known in the 1970s. During this period, Box and Jenkins popularized the use of
autoregressive integrated moving average (ARIMA) models (Bartholomew, 1971; Box & Tiao, 1975). First, we examined the stationarity of the data series. For this, we used the Augmented Dickey-Fuller (ADF) test. The null hypothesis of this test is that the time series has a unit root, i.e. it is not stationary. Based on the ADF
test, we obtained significant results for all travel entitlements; the null hypothesis was rejected, i.e. the processes
are stationary. The stationary time series do not contain trend effects, and the time series values fluctuate
around a constant mean value with a constant standard deviation. Stationary time series is also characterized
by the temporal constancy of the autocorrelation coefficients of the time series, representing the internal
relationships between the data of the time series. The values of the autocorrelation coefficients depend on the
distance between variables, on lags, but not on time. The autocorrelation coefficients as a function of the lag are
given by the autocorrelation function, also known as the correlogram. In the theory and practice of time series analysis, autoregressive and moving average (ARMA) processes have
gained significant importance since the 1970s because ARMA processes are mathematically tractable, and
many of the random processes that occur in practice and follow stationary behaviour can be well approximated
and described by them (Zdjelar et al., 2019). Stationary processes can be well-modelled with ARMA models. Such processes can be economical, biological, industrial, chemical and others. Thus, the use of ARMA
processes is indeed wide-ranging. Page 6/24 In this model, the number of active cases can be included as a regressor. Its coefficient shows how Covid-19
affects the evolution of different travel entitlements. The indicator autoregressive (AR) indicates that the process
can be described as a linear regression in its history. 4.2. Correlation analysis and stochastic time series ARMA
model Furthermore, the moving average (MA) indicator expresses
that the "error term" of the linear regression is the moving average of the white noise εt, i.e. the linear
combination of the present and the finite past. The first-order ARMA(1, 1) model with regressor (R) was of the following form:
yt = C + ϕ1yt−1 + βRt + ϵt + θ1ϵt−1 The first-order ARMA(1, 1) model with regressor (R) was of the following form:
yt = C + ϕ1yt−1 + βRt + ϵt + θ1ϵt−1 he first-order ARMA(1, 1) model with regressor (R) was of the following form: yt = C + ϕ1yt−1 + βRt + ϵt + θ1ϵt−1 yt = C + ϕ1yt−1 + βRt + ϵt + θ1ϵt−1 where: yt Amount of travel entitlement for the t time; yt Amount of travel entitlement for the t time; φ1 Coefficient of the autoregressive term; : Moving average coefficient;
θ1 εt−1 Error term of t-1 time. εt−1 Error term of t-1 time. 5. Public transportation in Debrecen during the Covid-19 pandemic In Hungary, and with it in Debrecen, public transport has been significantly affected by the government and
municipal measures in the emergency. The measures taken in the context of the emergency declared in March
2020 significantly impacted passenger numbers and, thus, the revenue from passengers and the costs incurred
to facilitate the protection. The measures that have had the most significant impact on public transport ridership
are presented in Table 1. The changes in travel patterns brought about by the virus, the measures taken, and the emergence of atypical
employment and distance learning have significantly impacted travel demand and the development of paying
passenger numbers. The public service operator in the city of Debrecen has also suffered a significant drop in
demand for travel and, thus, a significant loss of revenue. In the first months of the pandemic, with the launch of
distance learning, sales of student passes fell to 6%, but sales of general passes also fell to 40%. Ad-hoc travel
also dropped sharply, with ticket volumes below 13% in the first month of the pandemic. Page 7/24 Page 7/24 Table 1
Government's restrictive measures during the Covid-19 pandemic
Measure
Begin
End
Government decision number
Remote
learning I. 16 March
2020
15 June
2020
1102/2020 (Ministry of Justice, 2020c)
Curfew I. 28 March
2020
30 April
2020
71/2020 (Ministry of Justice, 2020a)
Wearing mask
I. 01 May 2020
26 June
2021
168/2020 (Ministry of Justice, 2020e)
Free travel
entitlement
01 April
2020
30 June
2022
486/2020 (Ministry of Justice, 2020f)
Free parking I. 06 April
2020
17 June
2020
87/2020 (Ministry of Justice, 2020d)
Curfew II. 04
November
2020
21 May
2021
479/2020 (Ministry of Justice, 2020h)
Free parking II. 04
November
2020
21 May
2021
478/2020 (Ministry of Justice, 2020i) and 512/2020
(Ministry of Justice, 2020g)
Remote
learning II. 10
November
2020
10 May
2021
at the individual discretion of educational institutions
Wearing mask
II. 21
November
2021
07 March
2022
597/2021 (Ministry of Justice, 2021)
Source: Own data collection and editing
Several waves of the Covid-19 epidemic can be distinguished in Hungary, the periods shown in Table 2. The Table 1 Several waves of the Covid-19 epidemic can be distinguished in Hungary, the periods shown in Table 2. The
identification of each wave is based on the current active case numbers. 5. Public transportation in Debrecen during the Covid-19 pandemic Page 8/24 Page 8/24 Page 8/24 Table 2
Covid-19 pandemic waves in Hungary
Begin
End
Wave 1
04 March 2020
17 July 2020
Wave 2
18 July 2020
16 February 2021
Wave 3
17 February 2021
02 September 2021
Wave 4
03 September 2021
04 January 2022
Wave 5
05 January 2022
22 June 2022
Wave 6
23 June 2022
currently
Source: Own editing based on Worldometer's (Worldometers.info, 2022) data Table 2
Covid 19 pandemic waves in Hungary Table 2 During the pandemic wave and to adapt to the measures, several timetable changes had to be made while the
service remained in operation. Driver ticket sales were suspended, and contactless purchase options were
introduced, which also required service improvements in the city. During the second wave, increasing the
proportion of articulated vehicles with a higher capacity was necessary to ensure adequate passenger spacing. The continuous daily disinfection of vehicles and public spaces also increased operator costs. Combining the evolution of the active case numbers and the restrictive measures the government took, we get
the following very suggestive graph (Fig. 3). The first wave of the epidemic is barely noticeable on the graph, but
each subsequent wave is much more pronounced. It is also clear that the measures more specific to public
transport, such as distance learning, curfew, and parking fees, were introduced almost simultaneously. These
measures were repealed before the first wave (17 July 2020), even though the active caseload was no less than
when the measures were introduced (Table 1). The second and third waves are not distinctly different, with
curfews, free parking and distance learning being reintroduced during their duration. It should be noted that distance learning does not affect all students, only those in secondary and higher
education (Zeng & Zhang, 2019). The above measures will expire in May 2021, well before the end of the third
wave (02 September 2021). The fourth and fifth waves will not be sharply different, but during this period, the
only daily restrictions that public transport users will face will be wearing masks. However, we highlighted a crucial moment in (Fig. 3) − 26.12.2020, marking the start of vaccination against
Covid-19 uniformly in the EU countries. Our graph shows that the start of vaccination in Hungary coincides with
the peak of the second wave. Source: Own editing The relationship between general and discounted passes is also not correlated, primarily because students did
not purchase travel entitlements during the period under study because of the multiple distance learning
restrictions, while the restrictions for the working population were lower, resulting in less change in their travel
habits and options. The dependency between Supplement and General passes is because many supplement
pass users are commuters from rural areas. Students who bought supplement passes during this period could
travel to the county centre to access health and other services, despite distance learning. 6.2. ARMA model We used the ARMA model to investigate how the evolution of different travel entitlements is influenced by the
rate/shape of active case numbers during the epidemic. To conduct the study, we examined each travel
entitlement separately. 6.1. Correlation matrix Correlation analysis aims to determine the extent to which entitlements for each mode of transport change
simultaneously. The correlation coefficients are significant in all cases, with positive, medium and high Page 9/24 relationships between variables. We find higher correlation coefficients between the long-distance and unlimited-
use fare products, with a strong relationship (0.795) for the General and Discounted passes. A solid dependent
relationship for the General passes, the supplement passes, the Discount passes, and the supplement passes,
with correlation coefficients above 0.9. The correlation coefficient between ticket-type vouchers and any fare
product providing unlimited use over a more extended period shows a medium strength, typically between 0.48
and 0.57 (Table 3). The results of the correlation study in the transport professional context show that no strong
relationship exists between the evolution of sales volumes of ad-hoc travel tickets and frequent travel passes. Table 3: Pearson's correlation Source: Own editing Source: Own editing 6.2.1. Analysis of the correlation between travel ticket sales and
active cases There was a sharp drop in ad-hoc travel of almost 90% in the first period of the pandemic. In Fig. 4, we have
graphically depicted the evolution of ticket types and active case numbers by month for 2020 to 2021. The
graph shows the duration of each Covid-19 wave and the trends in ticket sales over this period. However, it is not
suitable to establish a clear correlation between whether the trend in active caseloads is due to a decrease in
ticket sales or other external influences. In our case, by external influence, we mean the government measures
listed in Table 1. Applying the first-order ARMA(1,1) model to the time series of travel ticket sales and active case numbers, the
parameters given in Table 4 are obtained. Page 10/24 Page 10/24 Table 4
Parameters of the ARMA(1,1) model describing the effect of Active
cases on Travel ticket sales in Debrecen, Hungary
Coefficient
Estimate
Standard error
t value
Pr (>|t|)1
Intercept
172138,927
24398,210
7,06
< 0,0001*
ϕ 1
0,603
0,206
2,93
0,0083 *
β1
-0,199
0,127
-1,56
0,1333
θ1
0,390
0,170
2,29
0,0328*
1 * significance level P < 0.05 (dup: 6 ?) Table 4 Source: Own calculations The most important is the value of the coefficient β1. As shown in Table 4, the coefficient is negative (β1 =
-0,199), indicating an opposite shift in travel ticket sales and active caseload evolution. However, the coefficient
is not significant, as Pr is greater than 5%, so the working hypothesis H1 could not be confirmed. In conclusion,
active case numbers did not affect travel ticket sales during the Covid-19 outbreak. There was a significant drop in travel ticket sales in the first months of the first wave of the pandemic, which is
certainly related to the fact that several government measures during this period resulted in a significant
reduction in the use of community facilities. People feared a greater risk of infection in the confined spaces of
public vehicles and preferred to use private transport. With the gradual lifting of restrictions, a more significant
increase in travel ticket volumes was observed after the first, second, third and fourth waves, which occurred
close together in time, peaked. The pandemic has led to a change in travel habits, with a return to greater use of
public transport, albeit on an ad hoc basis. 6.2.1. Analysis of the correlation between travel ticket sales and
active cases With the lifting of restrictions, domestic tourism also resumed,
bringing occasional visitors and passengers to the city. 6.2.2. Analysis of the correlation between general pass sales
and active cases The pandemic has also brought about significant changes in travel patterns in this segment. The spread of
atypical forms of employment has reduced daily commuting, and the lack of comfort for passengers in public
transport has led to a preference for individual transport to reach their destination. Similar fluctuations can be
observed for the general pass in the first wave, but there were no increases in magnitude after the subsequent
waves (Fig. 5). The general passes are mainly used by employees who are not eligible for discounted passes,
usually for frequent travel, even several times a day. This group is most likely to be able to afford to maintain
and even use their vehicle daily, thus requiring more time for them to return to public transport. Applying the first-order ARMA(1,1) model to the time series of general passes and active caseloads, the
parameters given in Table 5 are obtained. Page 11/24 Page 11/24 Table 5
Parameters of the ARMA(1,1) model describing the effect of Active
cases on the General pass sales in Debrecen, Hungary
Coefficient
Estimate
Standard error
t value
Pr (>|t|)1
Intercept
13486,750
1761,697
7,66
< 0,0001*
ϕ1
0,635
0,2691
2,36
0,0285 *
β1
-0,005
0,0107
-0,49
0,6296
θ1
0,067
0,2371
0,28
0,7795
evel P < 0.05 Table 5 1 * significance level P < 0.05 Source: Own calculations Source: Own calculations The coefficient β is also negative for general rents. Although it is very low (-0.005), it is not significant in this
case, so we cannot confirm working hypothesis H2. In this case, our conclusion is that the number of active
cases did not influence the sales of general passes. The coefficient β is also negative for general rents. Although it is very low (-0.005), it is not significant in this
case, so we cannot confirm working hypothesis H2. In this case, our conclusion is that the number of active
cases did not influence the sales of general passes. Source: Own calculations Source: Own calculations Source: Own calculations The coefficient β is also negative in the case of concessionary season tickets. Although low (-0.016), it is not
significant, so we cannot confirm working hypothesis H3. In this case, we conclude that the active caseload did
not influence discounted pass sales. 6.2.3. Analysis of the correlation between discounted pass
sales and active cases Several factors also influenced the development of discounted passes. Mandated remote learning is reflected in
the declining number of student pass sales, with the biggest drop in this case also being caused by the first
wave, with a significant "bounce back" in 2020 at the start of school in September (Fig. 6). The trend was quickly
broken by the new measures taken in November, with volumes remaining low until the end of the school year
due to remote learning. With the fourth wave, remote learning was not mandated, and sales resumed upward
until winter break. The decline in December is due to the usual seasonal effect when a large part of the
population travels by ticket or other means of transport because of the holidays. The discounted passes also include passengers under 65 who are already retired. In their case, the fear of viral
infection may have been the main factor influencing the change in travel habits. Applying the first-order ARMA(1,1) model to the time series of discounted passes and active caseloads, the
parameters in Table 6 are obtained. Page 12/24 Page 12/24 Table 6
Parameters of the ARMA(1,1) model describing the effect of Active
cases on the Discounted pass sales in Debrecen, Hungary
Coefficient
Estimate
Standard error
t value
Pr (>|t|)1
Intercept
16382,925
2604,826
6,29
< 0,0001*
ϕ1
0,457
0,259
1,76
0,0932
β1
-0,016
0,018
-0,87
0,3968
θ1
0,307
0,264
1,16
0,2578
gnificance level P < 0.05 1 * significance level P < 0.05 6.2.4. Analysis of the correlation between supplement pass
sales and active cases When examining the trend in the number of supplement passes, it can be seen that the trend is similar to that of
discounted passes (Fig. 7). After a significant recovery following the first wave, there was a significant decline
during the second and third waves. The decline was also due to the introduction of remote learning. In the fourth
wave, as with the discounted pass type, a larger volume increase was observed due to the normal schooling
regime. A smaller increase reduces the spike intensity in sales of supplement passes for employees. The
seasonal decline at the end of the year can also be observed for this type of pass. Applying the first-order ARMA(1,1) model to the time series of supplement pass sales and active caseloads, we
obtain the parameters in Table 7. Page 13/24
Table 7
Parameters of the ARMA(1,1) model describing the effect of Active
cases on the Supplement pass sales in Debrecen, Hungary
Coefficient
Estimate
Standard error
t value
Pr (>|t|)1
Intercept
5812,682
909,627
6,39
< 0,0001*
ϕ1
0,484
0,266
1,82
0,0840
β1
-0,054
0,007
-0,83
0,4193
θ1
0,2083
0,253
0,82
0,4199
1 * significance level P < 0.05
Source: Own calculations Table 7
Parameters of the ARMA(1,1) model describing the effect of Active
cases on the Supplement pass sales in Debrecen, Hungary
Coefficient
Estimate
Standard error
t value
Pr (>|t|)1
Intercept
5812,682
909,627
6,39
< 0,0001*
ϕ1
0,484
0,266
1,82
0,0840
β1
-0,054
0,007
-0,83
0,4193
θ1
0,2083
0,253
0,82
0,4199 Table 7
Parameters of the ARMA(1,1) model describing the effect of Active
cases on the Supplement pass sales in Debrecen, Hungary 1 * significance level P < 0.05 The coefficient β for the supplement passes are also negative, very low (-0.054), but not significant, so we
cannot confirm working hypothesis H4. In this case, our conclusion is that active caseloads did not influence the
sales of supplement passes. The coefficient β for the supplement passes are also negative, very low (-0.054), but not significant, so we
cannot confirm working hypothesis H4. In this case, our conclusion is that active caseloads did not influence the
sales of supplement passes. 7. Discussion and conclusion The emergence and spread of the Covid-19 virus have changed our lives dramatically, affecting our daily lives in
several distinct waves of active cases (Fig. 3). In Hungary, government measures to control and slow the spread
of the virus have affected our mobility patterns in the city of Debrecen. The analysis showed that most
measures affecting public transport were taken during the first two waves regarding their number and restrictive
effect. These included the introduction of remote learning, curfews and free parking. The mandatory use of
masks and distance control has further increased the minimization of the use of public spaces. Travel habits
changed radically during this period, with the fear of contamination by the virus making private transport the
preferred form of mobility for the population. However, the ARMA model results show that the evolution of active caseloads did not influence the evolution of
sales volumes. All of our hypotheses, whether logical or evident, had to be rejected. Many factors may have influenced the decline in demand for public transport, but this study only examined
government action as an objective factor. The Oxford Coronavirus Government Response Tracker (Hale et al.,
2021) scored countries based on governmental stringency measures, with Hungary's stringency (Fig. 8) index
ranking among the most stringent throughout the pandemic. Declarations Authors The authors confirm that neither the manuscript nor any part of its content is currently under
consideration or published in another journal. Authors The authors confirm that neither the manuscript nor any part of its content is currently under
consideration or published in another journal. Authors have no financial or non-financial interests that are directly or indirectly related to the work subm
publication. Authors have no financial or non-financial interests that are directly or indirectly related to the work submitted for
publication. Limitations and further research directions The present research only examines the relationship between active caseloads, travel entitlements sold and
government measures, not other factors influencing travel. The conclusions drawn are valid only for the region
under study. In the future, the impact of the measures and Covid-19 on public transport should be further investigated, and
the results used to help decision-makers to reorient travel demand towards public transport. In the future, the impact of the measures and Covid-19 on public transport should be further investigated, and
the results used to help decision-makers to reorient travel demand towards public transport. Source: Hale et al. (2021) Limitations and further research directions Source: Hale et al. (2021) Source: Hale et al. (2021) Of the two impact factors examined, the number of active cases had a minor impact on the decline in ticket and
pass sales, while government measures had a more significant impact. Our analysis, although different in approach, confirms the studies by Meena & Sharma (2020), as well as Tóth et
al. (2022), Fumagalli et al. (2022) and Wang et al. (2022), where these authors highlight that strict restriction
that severely damages the economy are not essential to control the spread of Covid-19. Stochastic, i.e. probabilistic, systems can be modelled using random walk models, even if these phenomena are not necessarily
random. Such or similar correlations exist in the field of Covid-19 evolution. The stochastic random walk
process leads to the best solution in systems for which we do not know how it works (Malkiel, 2007). We
assume that the economic disadvantages of direct intervention are more significant for DKV than if there had
been no governmental-municipal restrictive action. In contrast to the sudden and significant negative impact on
the transport sector at the onset of the virus, the reversal of travel patterns during the pandemic is likely to be a
long process, lasting several years. The DKV has had to take several forced steps to ensure the sustainability of the service. To adapt to changes in
travel demand, it has had to adjust its capacity, sometimes by reducing the number of timetables and increasing
them. Unfortunately, these measures have led to an even more unfortunate shift away from public transport. The
effects of these measures can still be felt today in the travel habits of the city of Debrecen and the proportion of
people using public transport because travel habits have shifted towards individual modes of transport (Bittner Page 14/24 Page 14/24 et al., 2023; Tóth et al., 2022). To encourage people to choose public transport again, it is necessary to
rationalize timetables and improve service quality. et al., 2023; Tóth et al., 2022). To encourage people to choose public transport again, it is necessary to
rationalize timetables and improve service quality. A significant challenge for public transport operators in the coming period will be to attract people back from
private transport to public transport. To achieve this as soon as possible, continuous service improvement is
necessary to ensure that public transport offers people a suitable mobility alternative regarding journey time and
comfort. References 1. Anagnostopoulou, E., Urbancic, J., Bothos, E., Magoutas, B., Bradesko, L., Schrammel, J., Mentzas, G.: From
mobility patterns to behavioural change: leveraging travel behaviour and personality profiles to nudge for
sustainable transportation. J. Intell. Inform. Syst. 54(1), 157–178 (2020). 10.1007/s10844-018-0528-1 2. Barbosa, H., Hazarie, S., Dickinson, B., Bassolas, A., Frank, A., Kautz, H., Ghoshal, G.: Uncovering the
socioeconomic facets of human mobility. Sci. Rep. 11(1), 13 (2021). 10.1038/s41598-021-87407-4 3. Bartholomew, D.J., Box, G.E.P., Jenkins], G.M.: Oper. Res. Q. (1970–1977), 22(2), 199–201. doi:10.2307/3008255 (1971) 3. Bartholomew, D.J., Box, G.E.P., Jenkins], G.M.: Oper. Res. Q. (1970–1977), 22(2), 199–201. doi:10.2307/3008255 (1971) Gavaldi, Ã.: A pandémia hatása a szolgáltatókra. Debreceni Sz. 29(4), 439–445 4. Bittner, B., Gavaldi, Ã.: A pandémia hatása a szolgáltatókra. Debreceni Sz. 29( 4. Bittner, B., Gavaldi, Ã.: A pandémia hatása a szolgáltatókra. Debreceni Sz. 29(4), 439–445 (2021) 5. Bittner, B., Hajdu, C.A., Kovács, T., Nagy, A.: Személyszállítás fogyasztói megítélése – esettanulmány
Debrecen városában. Logisztikai Trendek. 9(1), 5 (2023). 10.21405/logtrend.2023.9.1.35 5. Bittner, B., Hajdu, C.A., Kovács, T., Nagy, A.: Személyszállítás fogyasztói megítélése – esettanulmány
Debrecen városában. Logisztikai Trendek. 9(1), 5 (2023). 10.21405/logtrend.2023.9.1.35 6. Bittner, B., Posta, M.: The Impact Of The Coronavirus On The Service Industry-A Case Study Is Through On
The Example Of A Hungarian Band. THE ANNALS OF THE UNIVERSITY OF ORADEA. 29(1), 336 (2020) 6. Bittner, B., Posta, M.: The Impact Of The Coronavirus On The Service Industry-A Case Study Is Through On
The Example Of A Hungarian Band. THE ANNALS OF THE UNIVERSITY OF ORADEA. 29(1), 336 (2020) 7. Box, G.E.P., Tiao, G.C.: Intervention Analysis with Applications to Economic and Environmental Problems. J. Am. Stat. Assoc. 70(349), 70–79 (1975). 10.2307/2285379 7. Box, G.E.P., Tiao, G.C.: Intervention Analysis with Applications to Economic and Environmental Problems. J. Am. Stat. Assoc. 70(349), 70–79 (1975). 10.2307/2285379 Page 15/24 Page 15/24 8. Continental, A.G.: (Electric) Mobility During the COVID-19 Pandemic. Retrieved from (2020). https://www.continental.com/en/press/studies-publications/continental-mobility-studies/mobility-study-
2020/electricmobility-during-the-pandemic/ 8. Continental, A.G.: (Electric) Mobility During the COVID-19 Pandemic. Retrieved from (2020). https://www.continental.com/en/press/studies-publications/continental-mobility-studies/mobility-study-
2020/electricmobility-during-the-pandemic/ 9. Dominiak, J.: The impact of the COVID-19 pandemic on changes in the services sector in Poland. Prace
Komisji Geografii Przemyslu Polskiego Towarzystwa Geograficznego-Studies of the Industrial Geography
Commission of the Polish Geographical Society. 36(2), 126–136 (2022). 10.24917/20801653.362.8 9. Dominiak, J.: The impact of the COVID-19 pandemic on changes in the services sector in Poland. Prace
Komisji Geografii Przemyslu Polskiego Towarzystwa Geograficznego-Studies of the Industrial Geography
Commission of the Polish Geographical Society. References 36(2), 126–136 (2022). 10.24917/20801653.362.8 10. European Commission:. Modal split of passenger transport. Retrieved from: (2022). https://ec.europa.eu/eurostat/databrowser/product/view/TRAN_HV_PSMOD 10. European Commission:. Modal split of passenger transport. Retrieved from: (2022). https://ec.europa.eu/eurostat/databrowser/product/view/TRAN_HV_PSMOD 11. Fumagalli, L.A.W., Rezende, D.A., Guimarães, T.A.: Data Intelligence in Public Transportation: Sustainable
and Equitable Solutions to Urban Modals in Strategic Digital City Subproject. Sustainability. 14(8), 4683
(2022). 10.3390/su14084683 12. Furcher, T., Holland-Letz, D., Rupalla, F., Tschiesner, A.: Car buying is on again, and mobility is picking up. In. (2021) 13. Gunay, S., Kurtulmus, B.E.: COVID-19 social distancing and the US service sector: What do we learn? Res. Int. Bus. Finance. 56 (2021). 10.1016/j.ribaf.2020.101361 14. Hale, T., Angrist, N., Goldszmidt, R., Kira, B., Petherick, A., Phillips, T., Tatlow, H.: A global panel database of
pandemic policies (Oxford COVID-19 Government Response Tracker). Nat. Hum. Behav. 5(4), 529–538
(2021). 10.1038/s41562-021-01079-8 15. Hungarian Central Statistical Office (KSH):. A helyi személyszállítás országos és budapesti forgalma
közlekedési módok szerint (2001–). (24.1.1.21.). Retrieved 2022.11.18., from KSH (2021). 15. Hungarian Central Statistical Office (KSH):. A helyi személyszállítás országos és budapesti forgalma
közlekedési módok szerint (2001–). (24.1.1.21.). Retrieved 2022.11.18., from KSH (2021). https://www.ksh.hu/stadat_files/sza/hu/sza0021.html 16. Lee, K.-S., Eom, J.K.: Systematic literature review on impacts of COVID-19 pandemic and corresponding
measures on mobility. Transportation. (2023). 10.1007/s11116-023-10392-2 17. Luo, Q., Gee, M., Piccoli, B., Work, D., Samaranayake, S.: Managing public transit during a pandemic: The
trade-off between safety and mobility. Transp. Res. Part C: Emerg. Technol. 138, 103592 (2022). https://doi.org/10.1016/j.trc.2022.103592 18. Malkiel, B.G.: A Random Walk Down Wall Street, 9th edn. W. W. Norton & Company, New York, USA (2007) 18. Malkiel, B.G.: A Random Walk Down Wall Street, 9th edn. W. W. Norton & Company, New York, USA (2007)
19. Mazzucato, M., Kattel, R.: COVID-19 and public-sector capacity. Oxf. Rev. Econ. Policy. 36, S256–S269 18. Malkiel, B.G.: A Random Walk Down Wall Street, 9th edn. W. W. Norton & Co 18. Malkiel, B.G.: A Random Walk Down Wall Street, 9th edn. W. W. Norton & Company, New York, USA (2007)
19. Mazzucato, M., Kattel, R.: COVID-19 and public-sector capacity. Oxf. Rev. Econ. Policy. 36, S256–S269
(2020). 10.1093/oxrep/graa031 19. Mazzucato, M., Kattel, R.: COVID-19 and public-sector capacity. Oxf. Rev. Econ. Policy. 36, S256–S269
(2020). 10.1093/oxrep/graa031 20. Meena, M.K., Sharma, M.: The effect of Covid-19 on public transportation. J. Indian Manage. Strategy. 25(4), 7 (2020). 10.5958/0973-9343.2020.00033.2 21. Ministry of Justice: A kijárási korlátozásról, 71/2020. (III. 27.) C.F.R. (2020a) 22. References Ministry of Justice: A Kormány Korm. 40/2020. (III. 11.) rendelete veszélyhelyzet kihirdetéséről, 40/2020. (2020b). (III. 11.) C.F.R. 23. Ministry of Justice: A koronavírus miatt a köznevelési és szakképzési intézményekben új munkarend
bevezetéséről, 1102/2020 (2020c). (III.14) C.F.R. 24. Ministry of Justice: A várakozási díj megfizetésének a veszélyhelyzet során alkalmazandó eltérő
szabályairól. (2020d) 24. Ministry of Justice: A várakozási díj megfizetésének a veszélyhelyzet során alkalmazandó eltérő
szabályairól. (2020d) 25. Ministry of Justice: A védelmi intézkedésekről, 168/2020. (IV. 30.) C.F.R. (2020e) 25. Ministry of Justice: A védelmi intézkedésekről, 168/2020. (IV. 30.) C.F.R. (2020e) Ministry of Justice: A védelmi intézkedésekről, 168/2020. (IV. 30.) C.F.R. (2020e) Page 16/24 Page 16/24 Page 16/24 26. Ministry of Justice: A veszélyhelyzet ideje alatt az egészségügyi dolgozók és a koronavírus világjárvány
elleni védekezésben közreműködő orvos-, egészségtudományi képzésben részt vevő hallgatók közforgalmú
személyszállítási utazási kedvezményéről, 486/2020. (2020f). (XI. 10.) C.F.R. 27. Ministry of Justice: A veszélyhelyzet idején a parkolást könnyítő intézkedésekről, 512/2020. (2020g). (XI. 21.) C.F.R. 28. Ministry of Justice: A veszélyhelyzet idején alkalmazandó további védelmi intézkedésekről, 479/2020. C.F.R
(2020h). (XI. 3.) inistry of Justice: A veszélyhelyzet kihirdetéséről, 478/2020. C.F.R (2020i). (XI. 3.) 29. Ministry of Justice: A veszélyhelyzet kihirdetéséről, 478/2020. C.F.R (2020i). (XI. 3.) 30. Ministry of Justice: A veszélyhelyzet idején alkalmazandó védelmi intézkedések második üteméről szóló
484/2020. (XI. 10.) Korm. rendelet módosításáról, 597/2021. (2021). (X. 28.) C.F.R. 31. Murano, Y., Ueno, R., Shi, S., Kawashima, T., Tanoue, Y., Tanaka, S., Yoneoka, D.: Impact of domestic travel
restrictions on transmission of COVID-19 infection using public transportation network approach. Sci. Rep. 11(1), 3109 (2021). 10.1038/s41598-021-81806-3 32. Pearson, K.: LIII On Lines and Planes of Closest Fit to Systems of Points in Space. Philosophical Magazine
and Journal of Science. 2(11), 559–572 (1901). 10.1080/14786440109462720 33. Pouliakas, K.J.A., a., S.: Determinants of automation risk in the EU labour market: A skills-needs approach. (2018) 34. Prentice, C., Altinay, L., Woodside, A.G.: Transformative service research and COVID-19. Serv. Ind. J. 41(1–2),
1–8 (2021). 10.1080/02642069.2021.1883262 35. Tirachini, A., Cats, O.: COVID-19 and Public Transportation: Current Assessment, Prospects, and Research
Needs. J. Public Transp. 22(1), 1–21 (2020). 10.5038/2375-091.22.1.1 35. Tirachini, A., Cats, O.: COVID-19 and Public Transportation: Current Assessment, Prospects, and Research
Needs. J. Public Transp. 22(1), 1–21 (2020). 10.5038/2375-091.22.1.1 36. Tóth, S., Bittner, B., Kovács, T., Nagy, A.: Digital transformation possibilities in public transportation in
Debrecen. Issues in Information Systems. 23(3), 14 (2022). https://doi.org/10.48009/3_iis_2022_125 36. References Tóth, S., Bittner, B., Kovács, T., Nagy, A.: Digital transformation possibilities in public transportation in
Debrecen. Issues in Information Systems. 23(3), 14 (2022). https://doi.org/10.48009/3_iis_2022_125 37. Vida, V., Popovics, P.: Impact Of The Covid-19 On Behaviour: A Survey Of Different Aspects Of Life Of The
Hungarian Population. CrossCultural Manage. J.(2), 13. (2020) 37. Vida, V., Popovics, P.: Impact Of The Covid-19 On Behaviour: A Survey Of Different Aspects Of Life Of The
Hungarian Population. CrossCultural Manage. J.(2), 13. (2020) 38. Wang, F., Ge, X., Huang, D.: Government Intervention, Human Mobility, and COVID-19: A Causal Pathway
Analysis from 121 Countries. Sustainability. 14(6), 3694 (2022) 38. Wang, F., Ge, X., Huang, D.: Government Intervention, Human Mobility, and COVID-19: A Causal Pathway
Analysis from 121 Countries. Sustainability. 14(6), 3694 (2022) 39. WHO:. Director-General's opening remarks at the media briefing on COVID-19 [Press release]. Retrieved from
(2020). https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-
the-media-briefing-on-covid-19---11-march-
2020#:~:text=We%20have%20therefore%20made%20the,to%20unnecessary%20suffering%20and%20death 39. WHO:. Director-General's opening remarks at the media briefing on COVID-19 [Press release]. Retrieved from
(2020). https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-
the-media-briefing-on-covid-19---11-march-
2020#:~:text=We%20have%20therefore%20made%20the,to%20unnecessary%20suffering%20and%20death 2020#:~:text=We%20have%20therefore%20made%20the,to%20unnecessary%20suffering%20and%20death
40. Worldometers.info. 2022.09.18). Coronavirus Hungary. daily. Retrieved from (2022). 40. Worldometers.info. 2022.09.18). Coronavirus Hungary. daily. Retrieved from (2022). https://www.worldometers.info/coronavirus/country/hungary/ 40. Worldometers.info. 2022.09.18). Coronavirus Hungary. daily. Retrieved from (2022). https://www.worldometers.info/coronavirus/country/hungary/ 41. Xiang, S.H., Rasool, S., Hang, Y., Javid, K., Javed, T., Artene, A.E.: The Effect of COVID-19 Pandemic on
Service Sector Sustainability and Growth. Front. Psychol. 12 (2021). 10.3389/fpsyg.2021.633597 42. Zdjelar, R., Hrustek, N.Z., Sumpor, M.J.E., Proceedings, S.D.B.: 21–22 March 2019). Sustaintable
development and active ageing in EU countries–bridges and gaps. Paper presented at the 38th International
Scientific Conference on Economic and Social Development, Faculty of Law, Economics and Social
Sciences Sale - Mohammed V University in Rabat, Rabat, Morocco. (2019) 42. Zdjelar, R., Hrustek, N.Z., Sumpor, M.J.E., Proceedings, S.D.B.: 21–22 March 2019). Sustaintable
development and active ageing in EU countries–bridges and gaps. Paper presented at the 38th International
Scientific Conference on Economic and Social Development, Faculty of Law, Economics and Social
Sciences Sale - Mohammed V University in Rabat, Rabat, Morocco. (2019) Page 17/24 Page 17/24 43. Zeng, Q.R., Zhang, G.X.: Nov 15–16). Exploration on the Construction of Statistical Index System of Sharing
Economy Based on Problem Orientation. Paper presented at the 5th Annual International Conference on
Social Science and Contemporary Humanity Development (SSCHD), Wuhan, PEOPLES R CHINA. (2019)
Figures 43. Zeng, Q.R., Zhang, G.X.: Nov 15–16). Exploration on the Construction of Statistical Index System of Sharing
Economy Based on Problem Orientation. References Paper presented at the 5th Annual International Conference on
Social Science and Contemporary Humanity Development (SSCHD), Wuhan, PEOPLES R CHINA. (2019) 43. Zeng, Q.R., Zhang, G.X.: Nov 15–16). Exploration on the Construction of Statistical Index System of Sharing
Economy Based on Problem Orientation. Paper presented at the 5th Annual International Conference on
Social Science and Contemporary Humanity Development (SSCHD), Wuhan, PEOPLES R CHINA. (2019)
Figures
Figure 1
The percentage share of modal split transportation
Source: Own editing based on the Eurostat database (European Commission, 2022) Page 18/24
Social Science and Contemporary Humanity Development (SSCHD), Wuhan, PEOPLES R CHINA. (2019)
Figures
Figure 1
The percentage share of modal split transportation
Source: Own editing based on the Eurostat database (European Commission, 2022) Figure 1 The percentage share of modal split transportation Source: Own editing based on the Eurostat database (European Commission, 2022) Page 18/24 Page 18/24 Figure 2 Figure 2 Distribution of fare revenues Distribution of fare revenues Source: Own editing Figure 3
Trends in active caseloads and various restrictive measures
Source: Own editing based on Worldometer's (2022) data and authors' data collection Figure 3 Figure 3 Trends in active caseloads and various restrictive measures Source: Own editing based on Worldometer's (2022) data and authors' data collection Source: Own editing based on Worldometer's (2022) data and authors' data collection Page 19/24 Page 19/24 Page 19/24 Figure 4
Travel ticket sales and evolution of active cases between 2020 - 2021
Source: Own editing Page 20/24
Figure 4
Travel ticket sales and evolution of active cases between 2020 - 2021
Source: Own editing Figure 4 Figure 4 Travel ticket sales and evolution of active cases between 2020 - 2021 Source: Own editing Source: Own editing Source: Own editing Page 20/24 Figure 5
General pass sales and evolution of active cases between 2020 - 2021
Source: Own editing Figure 5 General pass sales and evolution of active cases between 2020 - 2021 General pass sales and evolution of active cases between 2020 - 2021 Source: Own editing Source: Own editing Source: Own editing Page 21/24 Page 21/24 Figure 6
Discounted pass sales and evolution of active cases between 2020 – 2021
Source: Own editing Figure 6 Discounted pass sales and evolution of active cases between 2020 – 2021 Source: Own editing Page 22/24 Figure 7
Supplement pass sales and evolution of active cases between 2020 - 2021
Source: Own editing Figure 7 Figure 7 Supplement pass sales and evolution of active cases between 2020 - 2021 Supplement pass sales and evolution of active cases between 2020 - 2021 Page 23/24
Source: Own editing
Figure 8 Page 23/24
Source: Own editing
Figure 8 Figure 8 Page 23/24 Covid-19 stringency index in Hungary
Source: Hale et al. (2021) Covid-19 stringency index in Hungary
Source: Hale et al. (2021) Page 24/24
|
https://openalex.org/W2291685772
|
https://bmccancer.biomedcentral.com/track/pdf/10.1186/s12885-016-2221-5
|
English
| null |
Stroke related to androgen deprivation therapy for prostate cancer: a meta-analysis and systematic review
|
BMC cancer
| 2,016
|
cc-by
| 5,192
|
© 2016 Meng et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Meng et al. BMC Cancer (2016) 16:180
DOI 10.1186/s12885-016-2221-5 Meng et al. BMC Cancer (2016) 16:180
DOI 10.1186/s12885-016-2221-5 * Correspondence: yuanjieniu68@hotmail.com
†Equal contributors
2Department of Urology, Second Hospital of Tianjin Medical Unversity, Tianjin
Institute of Urology, 23 Pingjiang Road, Tianjin 300211, China
Full list of author information is available at the end of the article Stroke related to androgen deprivation
therapy for prostate cancer: a meta-analysis
and systematic review Fanzheng Meng1,2†, Shimiao Zhu2†, Jinsheng Zhao1†, Larissa Vados3, Lei Wang4, Yusheng Zhao5, Dan Zhao1
and Yuanjie Niu2* Abstract Background: Whether androgen deprivation therapy (ADT) leads to stroke morbidity is still unclear because of
inconsistent evidence. We performed a systematic review and meta-analysis to evaluate if ADT used in men with
prostate cancer (PCa) is associated with stroke. Methods and results: Medline, Embase and Cochrane Library databases up to September 30th 2014 were
systematically searched with no date or language restriction, and reports from potentially relevant journals were
complementally searched. Both randomized controlled trials and observational studies were included. Two reviewers
independently extracted data and assessed study quality. Six observational studies finally met inclusion criteria,
with 74,538 ADT users and 85,947 non-ADT users reporting stroke as an endpoint. Although no significant
association was observed in pooled estimates, the incidence of stroke in ADT users was 12 % higher than
control groups, (HR = 1.12, 95 % confidence interval [CI]: 0.95 to 1.32; P = 0.16). In subgroup-analyses of different
ADT types, stroke was found to be significantly associated with gonadotropin-releasing hormone (GnRH) alone (HR = 1.20,
95 % CI: 1.12 to 1.28; P < 0.001), GnRH plus oral antiandrogen (AA) (HR = 1.23, 95 % CI: 1.13 to 1.34; P < 0.001) and
orchiectomy (HR = 1.37, 95 % CI: 1.33 to 1. 46; P = 0.001), but not with AA alone (HR = 1.06, 95 % CI: 0.71 to 1.57; P = 0.78). Conclusions: GnRH alone, GnRH plus AA and orchiectomy is significantly associated with stroke in patients with PCa. Keywords: Stroke, Androgen deprivation therapy, Prostate cancer, Meta-analysis Keywords: Stroke, Androgen deprivation therapy, Prostate cancer, Meta-analysis increasingly used as a treatment for PCa, this effect on
prolonging life expectancy is unclear or even negative in
several clinical studies [5, 6]. In our previous study [7],
we found that ADT was positively associated with car-
diovascular disease. Because both cardiovascular and
cerebrovascular
diseases
share
many
common
risk
factors including atherosclerosis, dyslipidemia, visceral
obesity, arterial endothelial dysfunction, and hyperten-
sion [8–12], ADT may also be associated with stroke. Additionally, one population-based cohort study [13]
demonstrated that, GnRH agonists could significantly in-
crease the risk of stroke (adjusted rate ratio [RR], 1.18;
95 % confidence interval [CI], 1.00–1.39). However, con-
flicting results were also reported. In a nation-wide
population-based cohort study [14], authors found that
ADT was associated with decreased stroke risk (adjusted
hazard ratio [HR], 0.88; P = 0.001). Therefore, there is * Correspondence: yuanjieniu68@hotmail.com Search strategy and study selection We
systematically
searched
Medline,
Embase
and
Cochrane Library databases up to September 30th 2014,
with all possible combinations of the keywords as follows:
prostate cancer or prostate tumor or prostate carcinoma,
androgen deprivation or androgen suppression or endo-
crine treatment or ADT or AST; and stroke or cerebrovas-
cular or transient ischemic attack or hemiplegia or TIA or
cardiovascular (Additional file 1: Methods S1). No lan-
guage, date, or other restrictions was used. Publications
from potentially relevant journals were complementally
searched. Data extraction and quality assessment Two reviewers (Meng & Zhu) independently extracted
the data from eligible and potentially relevant publica-
tions, with differences resolved by the third reviewer
(Niu) as necessary. General characteristics of each in-
cluded publication were recorded: first author’s name,
year of publication, medical center, study design, sample
size, population characteristics, follow-up period, inter-
ventions, definition of stroke morbidity, HRs and corre-
sponding 95 % CIs of estimates in each comparisons. Definition of stroke was according to what descripted in
each included publication. Our meta-analysis involved
different types of ADT including AA, GnRH agonists,
orchiectomy, and two or more types above combined. We used Begg adjusted rank correlation test and Egger
linear regression test to evaluate publication bias. All
meta-analyses were conducted with Review Manage
(version 5.3; The Cochrane Collaboration, Oxford) and
STATA software (version 11.0; College Station, Texas). Two-tailed
P < 0.05
indicated
significant
difference
statistically. Background Prostate cancer (PCa) is the most prevalent malignancy
and remains a major healthcare problem in men in the
United States [1]. Because the development and growth
of PCa cells depends on androgens [2, 3], Androgen
deprivation therapy (ADT) undoubtedly plays an import-
ant role to treat PCa, and recently, approximately 40 %
of men diagnosed with PCa within 6 months have been
treated with ADT in the US [4]. ADT is a palliative therapy, including different types of
treatments such as gonadotropin-releasing hormone
(GnRH), oral antiandrogen (AA), orchiectomy, and two
or more types above combined. Although ADT is * Correspondence: yuanjieniu68@hotmail.com
†Equal contributors
2Department of Urology, Second Hospital of Tianjin Medical Unversity, Tianjin
Institute of Urology, 23 Pingjiang Road, Tianjin 300211, China
Full list of author information is available at the end of the article Meng et al. BMC Cancer (2016) 16:180 Page 2 of 7 agreement reached. Level of evidence (LOE) of all eli-
gible publications were evaluated using the classifica-
tions of Phillips et al’s, [17]. still no consensus regarding that ADT is associated with
stroke. Based on the controversy of this clinical issue, we per-
formed a meta-analysis and systematic review to investi-
gate whether ADT is associated with stroke in patients
with PCa. Subgroups analyses In order to minimize the influence of concomitant treat-
ments (e.g. radiotherapy and prostatectomy), subgroup
analysis of ADT monotherapy vs watchful waiting or
active surveillance (WW/AS) for stroke morbidity was
carried out. ADT monotherapy was defined as a single
therapeutic that in addition to ADT, no other previous
therapy was used in intervention group. Considering the
significance of existing heterogeneity in overall-analysis,
additional subgroup-analyses for various types of ADT
(e.g. GnRH, AA, GnRH + AA and Orchiectomy) vs non-
ADT were also performed. Statistical analysis
h Using the same methods as in our previous study [18],
weighted HRs and 95 % CIs were estimate to compare
all of these dichotomous variables. Different methods
were employed to calculate the HRs on the basis of the
data provided in the studies. When studies compared
more than one types of ADT with the same control
group severally (for example, GnRH vs Control, Orchi-
ectomy vs Control), random effects meta-analyses were
used to combine these results together as necessary. Studies were included if they fulfilled the following in-
clusion criteria: 1) Patients diagnosed with PCa only; 2)
Intervention groups must include ADT (either mono-
therapy or combination therapy); 3) Treatments in con-
trol groups were non-ADT (e.g. radical prostatectomy,
radiotherapy, active surveillance.); 4) Studies must have
the data of risk estimates with 95 % CIs; 5) Studies must
report comparative data. If more than one study were
identified from the same population, we extracted data
from all available informations, rather than just a single
publication. Statistical heterogeneity among studies was evaluated
with the Cochrane’s Q statistic [19]. In addition, incon-
sistency was quantified by I2 statistic (100 % × [(Q-df)/
Q]), different I2 values (25, 50, and 75 %) denote differ-
ent levels (low, medium, and high levels) of heterogen-
eity [20]. Using the Der-Simonian and Laird method, we
chose random-effects models throughout this analysis
no matter whether heterogeneity existed or not. Study characteristics and study quality Study characteristics and study quality HRs and 95 % CIs were directly given in two publications
[14, 21], and four studies [13, 14, 23, 24] respectively com-
pared different types of ADT with control groups. All of
these observational studies were of high LOE (2a). Details
of the eligible studies were summarized in Table 1. According to the assessment of NOS for observational
studies, all eligible studies were high-quality with scores
more than seven stars (Additional file 1: Table S2). ADT is considered to be effective when serum testos-
terone is declined to the recommended levels of 50 ng/
dl, according to the 2012 NCCN (National Comprehen-
sive Cancer Network) guidelines [26]. However, How-
ever, as reported in our previous study [7], low level of
serum testosterone is likely related to many stroke risk
factors including high triglyceride and low-density lipo-
protein cholesterol levels, endothelial dysfunction and
proinflammatory factors [12, 27–29]. In addition, previ-
ous studies [11, 30] showed that testosterone deficiency
was significantly associated with hypertension, high body
mass index, hypercoagulable states, and hyperfibrinogen-
emia [31]. All of these adverse effects may put patients
at a high risk of stroke. Results Based on the titles, abstracts, and full text screening, we
finally identified five cohort studies [14, 21–24] and one
nested case–control study [13] that met the inclusion
criteria. All articles included were published in English. Details of reasons for exclusion of articles through full
text screening are shown in Additional file 1: Table S1. Figure 1 shows the literature search and study selection
process of our meta-analysis. Study qualities of the selected trials were assessed by
the Jadad score [15]. Trails were considered to be of
high quality if they achieved more than 4 scores. Newcastle-Ottawa quality assessment scale (NOS) [16]
was used to assess the observational studies. Studies
with more than 6 scores were considered high-quality. Two authors (Zhu & Meng) respectively addressed the
assessments
and
discussed
the
discrepancies
until Meng et al. BMC Cancer (2016) 16:180 Page 3 of 7 Fig. 1 Flow Diagram of Search Strategy and Study Selection subgroup-analyses of orchiectomy vs non-ADT. Figure 3
showed the subgroup analyses for the effect of different
types of ADT vs control on stroke events. Stroke was sig-
nificantly associated with GnRH alone (HR = 1.20; 95 % CI
1.12–1.28; P < 0.001), GnRH plus AA (HR = 1.23; 95 % CI
1.13-1.34; P < 0.001), and orchiectomy (HR = 1.37; 95 % CI
1.33–1.64; P = 0.001), but not with AA alone (HR = 1.06;
95 % CI 0.71–1.57; P = 0.78). Details of meta-analyses for
each type of ADT were shown in Additional file 1: Figure
S1. Additionally, two studies [23, 24] with 81,402 pa-
tients were included for subgroup analysis of ADT
monotherapy vs WW/AS. 6150 stroke events were re-
corded, containing 3317 events from ADT users (8.2 %)
and 2349 from WW/AS groups (5.5 %). Pooled result re-
vealed that ADT monotherapy could significantly increase
the risk of stroke, with a higher incidence of 16 % than
WW/AS (HR = 1.16, 95%CI: 1.03–1.31, P = 0.01; Fig. 2b). Discussion Although the occurrence of stroke in men undergoing
ADT with PCa has been an emerging problem over re-
cent years, the relationship between ADT and stroke
morbidity is still unclear. This meta-analysis including
five population-based observational studies showed that
ADT has a tendency to increase the risk of stroke. Evi-
dence was directly proved by Azoulay et al. [13], show-
ing that ADT could significantly increase the risk of
stroke over a median follow-up of 3.9 years in men with
newly diagnosed PCa (HR = 1.34, P = 0.0001). Another
cohort study [24] involving 29,443 ADT users, and
19,527 with surveillance showed the standardized mor-
tality ratios of stroke was 1.17. Meta-analysis results Six studies [13, 14, 21, 23–25] involving 160,485 partici-
pants were identified for inclusion criteria. Figure 2a
showed the impact of ADT vs non-ADT on the end
point of fatal or non-fatal stroke morbidity. 5578 (7.4 %)
stroke events occurred among 74,538 ADT users compared
with 5134 events (5.7 %) within control participants. Pooled
HR showed that the incidence of stroke morbidity in ADT
group was 12 % higher than non-ADT users, although sta-
tistically significant difference was not observed (HR = 1.12;
95 % CI, 0.95–1.32; P = 0.16). As to subgroup-analyses of
different types of ADT, four studies [13, 23–25] were identi-
fied: three studies [13, 23, 24] respectively compared AA
alone, GnRH alone and GnRH plus AA with control
groups, four studies [13, 23–25] were available for the Out of the six studies we analyzed, only one [14] did
not show the positive relationship between ADT and
stroke (HR = 0.88; P = 0.001). This inconsistency was
likely due to the contamination bias caused by radical
prostatectomy. To reduce this bias, a sensitivity analysis
was
performed
comparing
ADT
monotherapy
with
WW/AS. When ADT users undergoing other treatments
were excluded, more significantly increased risk of Table 1 Characteristics of Studies Investigating Stroke Related to ADT Table 1 Characteristics of Studies Investigating Stroke Related to ADT
First author
year
Design, LOE
Database
source
(Duration)
Definition of
Stroke
(ICD codes)
Types of
ADT
Treatments
of control
No. of ADT/
Control
Age ya(SD)
of patients
Follow-up,
(ya)
Hazard
Ratios(95%CI)
Jespersen et al. [25] 2013
Cohort, 2a
Danish Cancer
Registry (2002–2010)
Ischemic Stroke/TIA
(ICD-8 codes 433, 434.09/99,
436.01/436.90, ICD-10 codes
DI63.x, DI64.x)
GnRH/AA
non-ADT
9204
20,307 71
3.3
(1.8 to 5.2)
1.19(1.06,1.35)c
1.17 (0.94, 1.50)d
Orchiectomy
2060
1.11(0.90,1.36)c
Hemelrijck et
al. [24] 2010
Cohort, 2a
NPCR of Sweden
(1997–2007)
Stroke (ICD-10: 160–164, G45)
GnRH
agonist
RP
9066
26,432 ≤65: 19,153
3.8
4.4
1.21(1.11,1.32)b 1.16 (1.01, 1.32)d
AA
3391
4
0.88(0.76,1.00)b
GnRH + AA
WW/AS
11,646 19,527 66 to 74:
27,737
3.3
4.7
1.25(1.15,1.35)b
Orchiectomy
5340
≥75: 13,110
3.1
1.30(1.18,1.44)b
Other types
1199
-
-
Alibhai et al. [14] 2009
Cohort, 2a
ICES (1995–2005)
Stroke (ICD-9-CM codes
430–438)
ADT
non-ADT
19,079/19,079
75 ± 6.3
6.47
0.88(0.81,0.96)c
Keating et al. Abbreviations: LOE level of evidence, ADT androgen deprivation therapy, GnRH gonadotropin-releasing hormone (leuteinizing hormone releasing hormone, LHRH), AA oral antiandrogens, RP radical prostatectomy/cura-
tive treatment, WW/AS watchful waiting (WW)/active surveillance (AS), SD standard deviation, NA not applicable, NPCR National Prostate Cancer Register, GPRD UK general practice research database, ICES institute for
clinical evaluative sciences
amean or median
bcompared with WW/AS
cHR was directly given in the publication
dCombined estimates from all types of ADT with random effect meta-analysis Abbreviations: LOE level of evidence, ADT androgen deprivation therapy, GnRH gonadotropin-releasing hormone (leuteinizing hormone releasing hormone, LHRH), AA oral antiandrogens, RP radical prostatectomy/cura-
tive treatment, WW/AS watchful waiting (WW)/active surveillance (AS), SD standard deviation, NA not applicable, NPCR National Prostate Cancer Register, GPRD UK general practice research database, ICES institute for
clinical evaluative sciences Abbreviations: LOE level of evidence, ADT androgen deprivation therapy, GnRH gonadotropin-releasing hormone (leuteinizing hormone releasing hormone, LHRH), AA oral antiandrogens, RP radical prostatectomy/cura-
tive treatment, WW/AS watchful waiting (WW)/active surveillance (AS), SD standard deviation, NA not applicable, NPCR National Prostate Cancer Register, GPRD UK general practice research database, ICES institute for
clinical evaluative sciences
amean or median
bcompared with WW/AS
cHR was directly given in the publication Meta-analysis results [23] 2010
Cohort, 2a
Veterans Healthcare
Administration
(2001–2004)
Ischemic Stroke/TIA
(ICD-9 codes 433.XX −435.XX)
GnRH
agonist
WW/AS
14,037 22,846 66.9 ± 8.6
2.6
1.18(1.02,1.36)c
1.18 (0.91, 1.51)d
AA
1229
0.89(0.46,1.73)c
GnRH + AA
1838
0.91(0.60,1.39)c
Orchiectomy
308
1.81(1.15,2.84)c
Huang et al. [21], 2014
Cohort, 2a
Queen Mary Hospital,
Hong Kong (1998–2011)
Ischemic Stroke (NA)
ADT
non-ADT
517/228
72.2 ± 0.3
5.3
0.94 (0.35, 2.45)c
Azoulay et al. [13] 2011
Nested Case–
control, 2a
GPRD (1988–2008)
Stroke/TIA (NA)
GnRH
agonist
non-ADT
3274
3960
72.3 ± 3.9
3.9
1.18(1.00,1.39)c
1.34 (1.15, 1.55)d
AA
457
1.47(1.08,2.01)c
GnRH + AA
481
1.26(0.93,1.72)c
Orchiectomy
295
1.77(1.25,2.51)c
Other types
142
1.42(0.84,2.39)c
Abbreviations: LOE level of evidence, ADT androgen deprivation therapy, GnRH gonadotropin-releasing hormone (leuteinizing hormone releasing hormone, LHRH), AA oral antiandrogens, RP radical prostatectomy/cura-
tive treatment, WW/AS watchful waiting (WW)/active surveillance (AS), SD standard deviation, NA not applicable, NPCR National Prostate Cancer Register, GPRD UK general practice research database, ICES institute for Meng et al. BMC Cancer (2016) 16:180 Page 5 of 7 Fig. 2 a. HRs of Stroke Related to ADT. b. HRs of Stroke Related to ADT Monotherapy vs WW/AS Fig. 2 a. HRs of Stroke Related to ADT. b. HRs of Stroke Related to ADT Monotherapy vs WW/AS stroke
was
observed
in
ADT
monotherapy
users
(Fig. 2b). heterogeneity, and showed that stroke morbidity was sig-
nificantly associated with GnRH alone, GnRH plus AA,
and prostatectomy. The US Food and Drug Administra-
tion announced a safety warning that GnRH agonists
could increase the risk of stroke in men receiving these
drugs for treating PCa [1]. As previously reported [32], There may be bias in the results due to different types
of ADT that were used in some studies [13, 23–25]. Therefore, we carried out subgroup analyses stratified by
different
types
of
ADT
in
order
to
reduce
this Fig. 3 HRs of Subgroup Analyses for Stroke Related to Different Types of ADT Fig. 3 HRs of Subgroup Analyses for Stroke Related to Different Types of ADT Meng et al. Conclusion In conclusion, there is a tendency that ADT could in-
crease the risk of stroke. Significant association of ADT
monotherapy with stroke was observed after removing
patients with prostatectomy and radiotherapy. Addition-
ally, GnRH, GnRH plus AA, and orchiectomy can sig-
nificantly result in stroke. These findings may help
clinicians be aware of the potential risks of ADT and en-
sure clinical management when prescribing this treat-
ment. Additional studies should also focus on the
different definitions of stroke since they require different
approaches to treatment. This meta-analysis and systematic review has several
strengths. First, the included studies were all large-scale
observational studies with long term of follow-up. Sec-
ond, if the HRs were not available in eligible studies, all
the data which could be used to calculate these were ad-
justed for the durations of follow-up. Finally, funnel
plots showed balance in our assessment of publication
bias. Begg’s and Egger’s tests also indicated that no sig-
nificant publication bias existed (Table 2). Additionally,
there was no obvious publication bias as shown in Add-
itional file 1: Figure S2, since points are distributed
around the verticals. Therefore, the findings in this
meta-analysis can be considered credible. Authors’ contributions NY had full access to all of the data in the study and takes responsibility for
the integrity of the data and the accuracy of the data analysis. MF, ZS and ZJ
made substantial contributions to concept, design, and acquisition of data,
statistical analysis and interpretation of data. V helped to edit English
expression. WL and ZD drafted the manuscript, ZY revised this manuscript
critically for important intellectual content and offering a lot of revise
opinions. All authors read and approved the final manuscript. Competing interests No competing interests exit in the submission of this manuscript, and
manuscript is approved by all authors for publication. All authors have
contributed significantly, and are in agreement with the content of the
manuscript. Meta-analysis results BMC Cancer (2016) 16:180 Page 6 of 7 Table 2 Pooled Results and Publication Bias for All Comparisons
Measurement
na
Case/control
Heterogeneity
Pooled rate/HR
Begg’s
test (P)
Egger’s
test (P)
P
I2 (%)
(95 % CI)
Stroke morbidity
ADT vs Non-ADT
5
74538/85947
<0.001
85
1.13 (0.95–1.33)
0.806
0.261
AA vs Non-ADT
3
5078/47309
0.010
78
1.06 (0.71–1.57)
1.000
0.653
GnRH vs Non-ADT
3
49292/47309
0.930
0
1.20 (1.12–1.28)
1.000
0.125
GnRH plus AA vs Non-ADT
3
13906/47309
0.360
3
1.23 (1.13–1.34)
0.296
0.501
Orchiectomy vs Non-ADT
4
7963/67616
0.060
59
1.37 (1.33–1.64)
0.734
0.456
a Number of included studies Table 2 Pooled Results and Publication Bias for All Comparisons ischemic events as the endpoint. Finally, the certain
characteristics of patients that may contribute to stroke
were different in each included study, which might con-
found the presented results. Therefore, adjusted data
were extracted when available to minimize the bias. GnRH agonist may cause the development of metabolic
syndrome, which in turn could accelerate the athero-
sclerotic process and then lead to increased stroke mor-
bidity. One included cohort study [23] investigating the
relationship between GnRH and stroke over a median
follow-up of 2.6 years, concluded that GnRH was signifi-
cantly associated with stroke morbidity (adjusted HR =
1.18, P = 0.03). All of these listed above was in accord-
ance with our findings. Additional file Additional file 1: Methods S1. Literature Search Strategy. Table S1. List
of Excluded Full-text Articles with Reasons for Exclusions. Table S2. Newcastle-Ottawa Scale Quality Assessment of Included Studies. Figure S1. Details of Subgroup Analyses for Stroke Related to Different Types of ADT. Figure S2. Funnel plots for Meta-analyses. (DOC 180 kb) Additional file 1: Methods S1. Literature Search Strategy. Table S1. List
of Excluded Full-text Articles with Reasons for Exclusions. Table S2. Newcastle-Ottawa Scale Quality Assessment of Included Studies. Figure S1. Details of Subgroup Analyses for Stroke Related to Different Types of ADT. Figure S2. Funnel plots for Meta-analyses. (DOC 180 kb) y
However, we acknowledge that several limitations
should be taken into consideration with the results
found in this meta-analysis. First, all eligible reports
were retrospective observational studies, which may
introduce recall limitation, so the integrity of records
may weaken the reliability of the results to some extent. Second, selection bias may have influenced our results. To minimize this bias, we carried out a predesigned
search strategy with independent selection, and data was
extracted by two reviewers. Third, incomplete data in
some included publications [24, 25] may have influenced
the overall result. As described in detail in our previous
study [7], we have tried to minimize this limitation as
much as possible. Furthermore, the stroke definition (is-
chemic, hemorrhagic, or TIA) was not specified in some
studies [13, 14, 24], introducing potential bias in stroke
incidence estimate. However, most of events in these eli-
gible studies were defined as ischemic events, and this
bias is possibly minimized because these overall stroke
rates were similar to the study [23] only including References 1. FDA drug safety communication. FDA requests label changes and single-
use packaging for some over-the-counter topical antiseptic products to
decrease risk of infection. Clin Infect Dis. 2014;58(3):i–ii. 25. Jespersen CG, Norgaard M, Borre M. Androgen-deprivation therapy in
treatment of prostate cancer and risk of myocardial infarction and stroke: a
nationwide Danish population-based cohort study. Euro Urol. 2014:65(4):
704–9. 2. Huggins C. Endocrine-induced regression of cancers. Cancer Res. 1967;
27(11):1925–30. 3. Huggins C, Hodges CV. Studies on prostatic cancer. I. The effect of
castration, of estrogen and androgen injection on serum phosphatases in
metastatic carcinoma of the prostate. CA Cancer J Clin. 1972;22(4):232–40. 3. Huggins C, Hodges CV. Studies on prostatic cancer. I. The effect of
castration, of estrogen and androgen injection on serum phosphatases in
metastatic carcinoma of the prostate. CA Cancer J Clin. 1972;22(4):232–40. 4. Shahinian VB, Kuo YF, Gilbert SM. Reimbursement policy and androgen-
deprivation therapy for prostate cancer. N Engl J Med. 2010;363(19):1822–32. 5. Heidenreich A, Aus G, Bolla M, Joniau S, Matveev VB, Schmid HP, et al. EAU
guidelines on prostate cancer. Eur Urol. 2008;53(1):68–80. 26. Adolfsson J. Words of wisdom. Re: Parenteral estrogen versus combined
androgen deprivation in the treatment of metastatic prostatic cancer: part
2. Final evaluation of the Scandinavian Prostatic Cancer Group (SPCG) Study
No. 5. Eur Urol. 2009;55(2):525. 27. Traish AM, Saad F, Feeley RJ, Guay A. The dark side of testosterone
deficiency: III. Cardiovascular disease. J Androl. 2009;30(5):477–94. 5. Heidenreich A, Aus G, Bolla M, Joniau S, Matveev VB, Schmid HP, et al. EAU
guidelines on prostate cancer. Eur Urol. 2008;53(1):68–80. 5. Heidenreich A, Aus G, Bolla M, Joniau S, Matveev VB, Schmid HP, et al. EAU
guidelines on prostate cancer. Eur Urol. 2008;53(1):68–80. 28. Laughlin GA, Barrett-Connor E, Bergstrom J. Low serum testosterone and
mortality in older men. J Clin Endocrinol Metab. 2008;93(1):68–75. 6. Sammon JD, Abdollah F, Reznor G, Pucheril D, Choueiri TK, Hu JC, Kim SP,
Schmid M, Sood A, Sun M, et al. Patterns of Declining Use and the Adverse
Effect of Primary Androgen Deprivation on All-cause Mortality in Elderly
Men with Prostate Cancer. Euro Urol. 2015:68(1):32-9. 6. Sammon JD, Abdollah F, Reznor G, Pucheril D, Choueiri TK, Hu JC, Kim SP,
Schmid M, Sood A, Sun M, et al. Patterns of Declining Use and the Adverse
Effect of Primary Androgen Deprivation on All-cause Mortality in Elderly
Men with Prostate Cancer. Euro Urol. 2015:68(1):32-9. 29. References Isidori AM, Giannetta E, Greco EA, Gianfrilli D, Bonifacio V, Isidori A, et al. Effects of testosterone on body composition, bone metabolism and serum
lipid profile in middle-aged men: a meta-analysis. Clin Endocrinol. 2005;
63(3):280–93. 7. Zhao J, Zhu S, Sun L, Meng F, Zhao L, Zhao Y, et al. Androgen deprivation
therapy for prostate cancer is associated with cardiovascular morbidity and
mortality: a meta-analysis of population-based observational studies. PLoS
One. 2014;9(9):e107516. 7. Zhao J, Zhu S, Sun L, Meng F, Zhao L, Zhao Y, et al. Androgen deprivation
therapy for prostate cancer is associated with cardiovascular morbidity and
mortality: a meta-analysis of population-based observational studies. PLoS
One. 2014;9(9):e107516. 30. Marin P, Holmang S, Gustafsson C, Jonsson L, Kvist H, Elander A, et al. Androgen treatment of abdominally obese men. Obes Res. 1993;1(4):245–51. 31. Glueck CJ, Glueck HI, Stroop D, Speirs J, Hamer T, Tracy T. Endogenous
testosterone, fibrinolysis, and coronary heart disease risk in hyperlipidemic
men. J Lab Clin Med. 1993;122(4):412–20. 8. Levine GN, D’Amico AV, Berger P, Clark PE, Eckel RH, Keating NL, et al. Androgen-deprivation therapy in prostate cancer and cardiovascular risk: a
science advisory from the American Heart Association, American Cancer
Society, and American Urological Association: endorsed by the American
Society for Radiation Oncology. CA Cancer J Clin. 2010;60(3):194–201. 32. Conteduca V, Di Lorenzo G, Tartarone A, Aieta M. The cardiovascular risk of
gonadotropin releasing hormone agonists in men with prostate cancer: an
unresolved controversy. Crit Rev Oncol Hematol. 2013;86(1):42–51. 9. Jones TH, Saad F. The effects of testosterone on risk factors for, and the
mediators of, the atherosclerotic process. Atherosclerosis. 2009;207(2):318–27. 10. Malkin CJ, Pugh PJ, Morris PD, Asif S, Jones TH, Channer KS. Low serum
testosterone and increased mortality in men with coronary heart disease. Heart. 2010;96(22):1821–5. 11. Svartberg J, von Muhlen D, Schirmer H, Barrett-Connor E, Sundfjord J,
Jorde R. Association of endogenous testosterone with blood pressure
and left ventricular mass in men. The Tromso Study. Eur J Endocrinol. 2004;150(1):65–71. 12. Whitsel EA, Boyko EJ, Matsumoto AM, Anawalt BD, Siscovick DS. Intramuscular testosterone esters and plasma lipids in hypogonadal men: a
meta-analysis. Am J Med. 2001;111(4):261–9. 13. Azoulay L, Yin H, Benayoun S, Renoux C, Boivin JF, Suissa S. Androgen-
deprivation therapy and the risk of stroke in patients with prostate cancer. Eur Urol. 2011;60(6):1244–50. 14. Alibhai SM, Duong-Hua M, Sutradhar R, Fleshner NE, Warde P, Cheung AM,
et al. Received: 8 January 2015 Accepted: 28 February 2016 Received: 8 January 2015 Accepted: 28 February 2016 24. Van Hemelrijck M, Garmo H, Holmberg L, Ingelsson E, Bratt O, Bill-Axelson A,
et al. Absolute and relative risk of cardiovascular disease in men with
prostate cancer: results from the Population-Based PCBaSe Sweden. J Clin
Oncol. 2010;28(21):3448–56. Acknowledgements
h
k The work was supported by the National Basic Research Program of China
(grant no. 2012CB518304) and the International S&T Cooperation Program of
China (ISTCP) (grant no. S2012GR0142). Thank all of the authors of primary
studies included in their meta-analyses. Page 7 of 7 Page 7 of 7 Page 7 of 7 Page 7 of 7 Meng et al. BMC Cancer (2016) 16:180 Author details
1D
f 21. Huang G, Yeung CY, Lee KK, Liu J, Ho KL, Yiu MK, et al. Androgen
deprivation therapy and cardiovascular risk in chinese patients with
nonmetastatic carcinoma of prostate. J Oncol. 2014;2014:529468. 1Department of Neurology, Tianjin Nankai Hospital, Nankai Clinical School of
Tianjin Medical University, Tianjin, China. 2Department of Urology, Second
Hospital of Tianjin Medical Unversity, Tianjin Institute of Urology, 23
Pingjiang Road, Tianjin 300211, China. 3Tianjin University of Traditional
Chinese Medicine, Tianjin, China. 4Tianjin Institute of Medical and
Pharmaceutical Sciences, Tianjin, China. 5First Teaching Hospital of Tianjin
University of Traditional Chinese Medicine, Tianjin, China. 1Department of Neurology, Tianjin Nankai Hospital, Nankai Clinical School of
Tianjin Medical University, Tianjin, China. 2Department of Urology, Second
Hospital of Tianjin Medical Unversity, Tianjin Institute of Urology, 23
Pingjiang Road, Tianjin 300211, China. 3Tianjin University of Traditional
Chinese Medicine, Tianjin, China. 4Tianjin Institute of Medical and
Ph
i
l S i
Ti
ji
Chi
5Fi
T
hi
H
i l
f Ti
ji 22. Jespersen CG, Norgaard M, Borre M. Reply to C. Mary Schooling, Grace
Sembajwe and Ilir Agalliu’s letter to the editor Re: Christina G. Jespersen,
Mette Norgaard, Michael Borre. Androgen-deprivation therapy in treatment
of prostate cancer and risk of myocardial infarction and stroke: a nationwide
Danish population-based cohort study. Eur Urol. 2013;64(3):e61. Pharmaceutical Sciences, Tianjin, China. 5First Teaching Hospital of Tianjin
University of Traditional Chinese Medicine, Tianjin, China. 23. Keating NL, O’Malley AJ, Freedland SJ, Smith MR. Diabetes and
cardiovascular disease during androgen deprivation therapy: observational
study of veterans with prostate cancer. J Natl Cancer Inst. 2010;102(1):39–46. References Impact of androgen deprivation therapy on cardiovascular disease and
diabetes. J Clin Oncol. 2009;27(21):3452–8. 15. Moher D, Pham B, Jones A, Cook DJ, Jadad AR, Moher M, et al. Does quality
of reports of randomised trials affect estimates of intervention efficacy
reported in meta-analyses? Lancet. 1998;352(9128):609–13. 15. Moher D, Pham B, Jones A, Cook DJ, Jadad AR, Moher M, et al. Does quality
of reports of randomised trials affect estimates of intervention efficacy
reported in meta-analyses? Lancet. 1998;352(9128):609–13. Submit your next manuscript to BioMed Central
and we will help you at every step: Submit your next manuscript to BioMed Central
and we will help you at every step: • We accept pre-submission inquiries
• Our selector tool helps you to find the most relevant journal
• We provide round the clock customer support
• Convenient online submission
• Thorough peer review
• Inclusion in PubMed and all major indexing services
• Maximum visibility for your research
Submit your manuscript at
www.biomedcentral.com/submit
and we will help you at every step: 16. Wells G, Shea B, O’connell D, Peterson J, Welch V, Losos M, Tugwell P. The
Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised
studies in meta-analyses. 2000. 16. Wells G, Shea B, O’connell D, Peterson J, Welch V, Losos M, Tugwell P. The
Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised
studies in meta-analyses. 2000. • We accept pre-submission inquiries 17. Phillips B. GRADE: levels of evidence and grades of recommendation. Arch
Dis Child. 2004;89(5):489. 17. Phillips B. GRADE: levels of evidence and grades of recommendation. Arch
Dis Child. 2004;89(5):489. 18. Zhu S, Tang Y, Li K, Shang Z, Jiang N, Nian X, et al. Optimal schedule of
bacillus calmette-guerin for non-muscle-invasive bladder cancer: a meta-
analysis of comparative studies. BMC Cancer. 2013;13:332. 19. Handoll HH. Systematic reviews on rehabilitation interventions. Arch Phys
Med Rehabil. 2006;87(6):875. 19. Handoll HH. Systematic reviews on rehabilitation interventions. Arch Phys
Med Rehabil. 2006;87(6):875. 20. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in
meta-analyses. BMJ. 2003;327(7414):557–60.
|
https://openalex.org/W2588723626
|
https://www.intechopen.com/citation-pdf-url/53080
|
English
| null |
Application of Optical Interferometry for Characterization of Thin-Film Adhesion
|
InTech eBooks
| 2,017
|
cc-by
| 8,900
|
Application of Optical Interferometry for
Characterization of Thin-Film Adhesion
Application of Optical Interferometry for
Characterization of Thin-Film Adhesion Sanichiro Yoshida , David R. Didie ,
Jong-Sung Kim and Ik-Keun Park
Sanichiro Yoshida, David R. Didie,
Jong-Sung Kim and Ik-Keun Park
Additi
l i f
ti
i
il bl
t th
d
f Sanichiro Yoshida , David R. Didie ,
Jong-Sung Kim and Ik-Keun Park
Sanichiro Yoshida, David R. Didie,
Jong-Sung Kim and Ik-Keun Park
Additi
l i f
ti
i
il bl
t th
d
f Additional information is available at the end of the chapter Additional information is available at the end of the chapter http://dx.doi.org/10.5772/66205 http://dx.doi.org/10.5772/66205 Abstract In this chapter, application of optical interferometry for the characterization of thin-film
adhesion to the substrate is discussed. The thin-film system is configured as one of the
end mirrors of a Michelson interferometer and oscillated with an acoustic transducer
from the substrate side. The oscillation causes sinusoidal displacement of the film
surface around the initial (neutral) position, and the interferometer detects its amplitude
as the relative phase difference behind the beam splitter. When the driving frequency
of this oscillation is tuned to a range where the film-substrate interface is dominantly
oscillated, the elasticity of the interface can be analyzed from the oscillation amplitude. The principle of this method is straightforward but in reality, fluctuation of the initial
phase (the relative phase corresponding to the initial film position) compromises the
signal. A technique known as the carrier fringe method along with spatial frequency
domain analysis is employed to reduce the noise associated with the initial phase
fluctuation. The possibility of the present method to analyze the so-called blister effect
on thin-film adhesion is discussed. Keywords: optical interferometry, opto-acoustic technique, thin-film adhesion, blister
effects, non-destructive evaluation Selection of our books indexed in the Book Citation Index
in Web of Science™ Core Collection (BKCI)
Interested in publishing with us?
Contact book.department@intechopen.com
Numbers displayed above are based on latest data collected.
For more information visit www.intechopen.com
Open access books available
Countries delivered to
Contributors from top 500 universities
International authors and editors
Our authors are among the
most cited scientists
Downloads
We are IntechOpen,
the world’s leading publisher of
Open Access books
Built by scientists, for scientists
14%
191,000
210M
TOP 1%
154
7,200 Chapter 4
al chapter 1. Introduction Thin-film systems are used in a variety of applications ranging from micro-electro-mechanical-
systems (MEMS) to artificial joints. Poor adhesion of the film material to the substrate leads to
delamination or other modes of coating failure, and is an important factor of quality control in © 2017 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited. © 2017 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use,
distribution, and reproduction in any medium, provided the original work is properly cited. © 2017 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited. © 2017 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, and reproduction in any medium, provided the original work is properly cited. Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use,
distribution, and reproduction in any medium, provided the original work is properly cited. Optical Interferometry 62 the manufacturing stage. However, detection of poor adhesion is not easy. In particular, when
the film material is poorly adhered but not causing a structural abnormality, detection is very
difficult. Static methods such as acoustic imaging microscopy or X-ray diffractometry cannot
be used to identify the problem. Dynamic analysis capable of characterizing the elastic behavior
of the interface is essential. Among dynamic techniques to evaluate the film adhesion strength, ultrasonic techniques
[1–5] are the prevailing methods. In these methods, ultrasonic waves are excited in the sub-
strate and film materials, and abnormality is detected from the propagation characteristics
of the ultrasonic wave. The recent trend indicates that the film thickness is reduced for bet-
ter performance of the thin-film system. This forces the ultrasonic wavelength to be shorter,
hence the frequency to be higher. Reduction in the wavelength works well for the purpose
of detecting defects or other nonuniform issues in the interface, as the spatial resolution is
increased. However, for characterization of elasticity of the film-substrate interface, an in-
crease in the frequency makes the analysis difficult. This is because normally, poor adhe-
sion has lower elastic modulus than the healthy adhesion. Consequently, the frequency is
too high to oscillate the poor adhesion effectively, and the signal representing the poor ad-
hesion tends to be small. For several thin-film specimens, resonance-like behaviors of the film-substrate
interface have been found [7]. In the course of this research, we have learned much about practical issues of Michelson
interferometers. The operation principle of a Michelson interferometer is straightforward. However, in reality, its application to engineering is not as simple as it sounds. Especially, when
the interferometer is used in air, environmental disturbance can easily affect the measurement. It is always possible to place the entire interferometric paths in a vacuum, but it causes extra
costs and handling procedures. In many engineering applications, it is not favorable. In this paper, after various findings from the above research being discussed, a method is
proposed to reduce environmental disturbance that compromises the optical phase signal
representing the oscillation at the acoustic frequency. In this method, a known optical-path
variation is introduced in a direction lateral to the interferometer axis so that the Initial Phase
Difference is visualized as a pattern of mutually parallel dark and bright stripes (known as a
carrier-fringe pattern [8]), and the data is processed in the spatial-frequency domain. With this
configuration, a change in the relative optical path shifts the fringe locations in a plane normal
to the interferometric axis. This allows us to perform two-dimensional analysis on the image
plane of the imaging device, and thereby find a weakly-adhered spot. The method is especially
useful when the frame rate of the imaging device is significantly lower than the acoustic
frequency, as is normally in this case. Under this condition, the relative phase change at the
acoustic frequency is detected as the corresponding reduction in the fringe contrast that can
be related to the height of the main peak in the Fourier spectrum. Since the spatial frequency
corresponding to the main peak is determined by the spacing of the carrier fringe pattern, the
peak value does not depend on slow shift of the entire fringe pattern due to an environmental
disturbance. In other words, the detection system tries to probe the oscillatory
behavior caused by the poor adhesion at a frequency on the blue side of the spectrum, as
schematically illustrated in Figure 1. The transmissibility (the transfer function) of a me-
chanical oscillator decreases with a quadratic dependence on the frequency (f−2) on the high
frequency side of the resonance. Figure 1. Resonance curves with different resonant frequencies. Figure 1. Resonance curves with different resonant frequencies. Considering the above situation, we have devised an optical interferometric system to
characterize the adhesion of thin films to their substrate [6]. A Michelson interferometer is used
to analyze harmonic response of thin-film specimens when they are oscillated with an acoustic
transducer. The film surface displacement resulting from the acoustic oscillation is detected as
relative optical path changes behind the beam splitter. With the assumption that the film-
substrate interface has a lower elastic modulus than the film or the substrate material and by
choosing the acoustic frequency appropriately, it is possible to characterize the elastic behavior Figure 1. Resonance curves with different resonant frequencies. Considering the above situation, we have devised an optical interferometric system to
characterize the adhesion of thin films to their substrate [6]. A Michelson interferometer is used
to analyze harmonic response of thin-film specimens when they are oscillated with an acoustic
transducer. The film surface displacement resulting from the acoustic oscillation is detected as
relative optical path changes behind the beam splitter. With the assumption that the film-
substrate interface has a lower elastic modulus than the film or the substrate material and by
choosing the acoustic frequency appropriately, it is possible to characterize the elastic behavior Considering the above situation, we have devised an optical interferometric system to
characterize the adhesion of thin films to their substrate [6]. A Michelson interferometer is used
to analyze harmonic response of thin-film specimens when they are oscillated with an acoustic
transducer. The film surface displacement resulting from the acoustic oscillation is detected as
relative optical path changes behind the beam splitter. With the assumption that the film-
substrate interface has a lower elastic modulus than the film or the substrate material and by
choosing the acoustic frequency appropriately, it is possible to characterize the elastic behavior Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205
63 63 of the interfaces. 2.1. Why optical interferometer? The substrate of typical thin film systems is of the order of 100 μm or less in thickness. In order
to excite 10 waves in the substrate, the wavelength of the acoustic signal must be 10 μm or
shorter. The acoustic velocity in silicon (a typical substrate) is 8 km/s. This results in the acoustic
frequency higher than 800 MHz, leading to the situation where detection of elastic behavior
associated with resonant frequency of the order of 100 MHz or less is difficult. Poor adhesion
normally has a resonant frequency substantially lower than 100 MHz. In addition, most thin-
film systems are subject to environmental disturbance of much lower frequency. Therefore, the
use of high acoustic frequency is unrealistic. 2.2. Optical configurations Figure 2 illustrates the principle of operation of the present method. A Michelson interferom-
eter is configured with one end mirror replaced by the thin-film specimen. Call this interfero- Optical Interferometry 64 metric arm the signal arm, and the other the reference arm. In the signal arm, the specimen is
placed with the film side facing the beam splitter. The specimen is oscillated with an acoustic
transducer from the rear (substrate) side, and the resultant oscillation of the film surface is
detected as the corresponding change in the optical path length relative to the reference path. It is postulated that the elastic modulus of the interface is lower than that of the film or the
substrate material, as the right drawing of Figure 1 illustrates. With this postulate, it follows
that the resonant frequency of the interface is lower than that of the film or substrate. In other
words, when the acoustic frequency is tuned in a frequency range where the interface can
possibly have resonant points, both the film and substrate oscillate as rigid bodies. Therefore,
it is possible to detect the differential displacement of the film surface that represents the
dynamics of the interface. Figure 2. Michelson interferometer and experimental arrangement. 2.3. Optical intensity behind beam splitter
The light intensity on the image plane behind the beam splitter can be expressed as follows. Figure 2. Michelson interferometer and experimental arrangement. 2.3. Optical intensity behind beam splitter ht intensity on the image plane behind the beam splitter can be expressed as follows. ( )
(
)
0
0
0
0
0
0
0
2
2
cos
sin
2
2
cos
sin
é
ù
=
+
-
+
=
+
+
é
ù
ë
û
ë
û
s
r
I t
I
I
k l
l
kd
t
I
I
t
w
d
d
w
(1) (1) Here I0 is the intensity of the reference and signal beams, k is the wave number of the laser light
in (rad/m), ls0 and lr0 are respectively, the initial (physical) length of the signal and reference
arms, δ0 = ls0 – lr0 is the arm length difference, δ = kd and d are the oscillation amplitude of the
film surface in (rad) and (m), and ω is the oscillation (driving) angular frequency of the film
specimen. Here the reference and signal beams are the noninterfering light beams in the Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205
65 65 reference and signal arms, respectively; their intensities are assumed to be equal to each other. (In reality, they are not equal to each other but the gist of the argument here is not affected by
inequality. The error associated with the inequality is discussed later in this paper.) The second
term in the right-hand side of Eq. (1) with cos[δ0+ δ sin ωt] is called the interference term. This
term is important as it contains the relative phase change information. I(t) is captured by a
photodetector or an imaging device placed behind the beam splitter. Two methods are possible to detect the relative optical path change behind the beam splitter. Call them the total-intensity and two-dimensional methods. Both methods have advantages
and disadvantages. In the total-intensity method, the total intensity I(t) is captured by a fast
photodetector such as a silicon PIN photodiode. The advantage of this method is that the
response time of the detector is fast enough to analyze I(t) at the same frequency as the acoustic
transducer (ω in Eq. (1)). A disadvantage of this method is that it detects the interference term
representing the entire cross-sectional area of the laser beam reflected off the specimen. It is
unable to resolve the intensity over the plane of the specimen. 2.3. Optical intensity behind beam splitter Another disadvantage of this
method is that it is vulnerable to unwanted optical path changes due to environmental
disturbance. In the two-dimensional method, an imaging device (an array of photodetector such as a CCD
(Charge Coupled Device)) is used for the photodetector behind the beam splitter. (Hereafter,
this type of imaging device is referred to as a CCD.) A typical CCD consists of approximately
500 rows and 500 columns of pixels. It is possible to detect the relative phase change two
dimensionally on a pixel-by-pixel basis. Another advantage of this method is that by intro-
ducing a so-called carrier fringe system, it is possible to reduce the influence of the unwanted
optical path length change due to environmental disturbance. The disadvantage of this method
is that the frame rate (the sampling rate) of a CCD has normally orders of magnitude lower
than the acoustic frequency. Consequently, the detected signal is greatly down-sampled. Below
we discuss the two configurations in more detail. 2.3.1. Total intensity configuration In this configuration, the light beams from the two arms are aligned so that they overlap each
other for the entire path they share, i.e., the optical path from the beam splitter to the photo-
detector. Under these conditions, the film surface displacement due to the acoustic oscillation
changes the relative path length difference commonly to all points on the x-y plane (the plane
of the specimen). The photodetector signal is proportional to the total intensity expressed by
Eq. (1), where the oscillation comes from the interference term. By measuring the intensity of
the signal beam and the reference beam separately, we can evaluate 2I0 and express the
interference as follows. ( )
0
0
0
2
cos
sin
2
-
+
=
é
ù
ë
û
I t
I
t
I
d
d
w
(2) (2) Optical Interferometry 66 In evaluating the oscillation amplitude δ from Eq. (2), the initial phase difference δ0 plays an
important role. The phase oscillation due to the acoustic transducer occurs around δ0. Since
the function cosθ has the greatest slope at θ = 0, the oscillation amplitude of Eq. (2) is maxi-
mized when δ0 = 0. In other words, the amplitude of the oscillation due to δ is maximized when
the initial interference is totally destructive. Figure 3 illustrates this situation for
�0 = 0, �
4, �
2, when the oscillation amplitude δ is 0.2 as an example. The issue is that when
an environmental factor such as changes in the refractive index of the air due to temperature
fluctuations vary the value of δ0 in a random fashion, it becomes impossible to distinguish
whether observed interferometric intensity variation is due to δ or δ0 in Eq. (2). Figure 3. Interference term with three different initial phases. Figure 3. Interference term with three different initial phases. 2.3.2. Two-dimensional configuration
In this configuration, a CCD is used to capture the intensity represented by Eq. (1). Normally,
the frame rate of a CCD is significantly lower than the acoustic frequency. A CCD with a frame
rate comparable to the acoustic frequency is available but it is expensive and sometimes the
number of pixels is limited in exchange for a higher frame rate. So, here we discuss image
analysis for a low frame rate case. The issue of environmental relative phase fluctuation discussed above applies to the two Figure 3. 2.3.1. Total intensity configuration Interference term with three different initial phases. (a) Simple Michelson method Eq. (1) represents the instantaneous intensity observed behind the beam splitter. To discuss the
case where the CCD’s frame rate is much lower than the signal frequency, it is convenient to
rewrite Eq. (1) in terms of Bessel functions of first kind. Using the following identities, (
)
( )
( )
( )
0
2
4
cos
sin
2
cos2
2
cos4
=
+
+
+L
t
J
J
t
J
t
d
w
d
d
w
d
w
(
)
( )
( )
1
3
sin
sin
2
sin
2
sin3
=
+
+L
t
J
t
J
t
d
w
d
w
d
w (
)
( )
( )
( )
0
2
4
cos
sin
2
cos2
2
cos4
=
+
+
+L
t
J
J
t
J
t
d
w
d
d
w
d
w (
)
( )
( )
1
3
sin
sin
2
sin
2
sin3
=
+
+L
t
J
t
J
t
d
w
d
w
d
w Eq. (1) can be rewritten as follows. Eq. (1) can be rewritten as follows. Eq. (1) can be rewritten as follows. ( )
(
)
(
)
(
)
( )
( )
{
}
( )
( )
( )
0
0
0
0
0
0
0
0
0
0
0
0
2
4
0
0
1
3
2
2
cos
sin
2
2
cos
cos
sin
2
sin
sin
sin
2
2
cos
2
cos2
2
cos4
}
2
sin
{2
sin
2
sin3
}
=
+
+
=
+
-
=
+
+
+
+
-
+
+
L
L
I t
I
I
t
I
I
t
I
t
I
I
J
J
t
J
t
I
J
t
J
t
d
d
w
d
d
w
d
d
w
d
d
d
w
d
w
d
d
w
d
w
(3) (3) In the present case, the acoustic frequency is in the range of 1–20 KHz, and the CCD has a
frame rate of 30 fps (frames per second), or three orders of magnitude lower than the acoustic
frequency. In other words, the data taken by the digital camera is greatly down-sampled. Under
these conditions, the output of the CCD
can be expressed as follows. 2.3.2. Two-dimensional configuration In this configuration, a CCD is used to capture the intensity represented by Eq. (1). Normally,
the frame rate of a CCD is significantly lower than the acoustic frequency. A CCD with a frame
rate comparable to the acoustic frequency is available but it is expensive and sometimes the
number of pixels is limited in exchange for a higher frame rate. So, here we discuss image
analysis for a low frame rate case. The issue of environmental relative phase fluctuation discussed above applies to the two-
dimensional configuration as well. However, the introduction of a carrier fringe system in
conjunction with frequency domain analysis greatly overcomes this issue. Below we first
consider the case when a carrier fringe system is not introduced (called the simple Michelson
method) followed by the carrier fringe method. Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205 67 (a) Simple Michelson method (a) Simple Michelson method (a) Simple Michelson method ( )
{
}
( )
(
)
( )
0
0 0
0
0
2
1
0
0
0
0
2
1
10
2
1
cos
4
cos
cos 2
4
sin
sin(2
1)
¥
=
¥
-
=
+
+
-
-
å
ò
ò
åò
N
N
N
N
I
J
dt
I
J
N t dt
I
J
N
t
t
t
t
d
d
d
d
w
d
d
w
(4) ( )
{
}
( )
(
)
0
0 0
0
0
2
1
0
0
2
1
cos
4
cos
cos 2
¥
=
+
+
-
å
ò
ò
N
N
I
J
dt
I
J
N t dt
t
t
d
d
d
d
w
(4 (4) ( )
0
0
2
1
10
4
sin
sin(2
1)
¥
-
=
-
åò
N
N
I
J
N
t
t
d
d
w ( )
0
0
2
1
10
4
sin
sin(2
1)
¥
-
=
-
åò
N
N
I
J
N
t
t
d
d
w Here τ is the exposure time of the CCD and N is an integer. Of the terms on the right-hand side
of Eq. (4), those terms that contain the summation over N oscillate. On the other hand, the first
integral is constant with respect to time and therefore increases in proportion to τ. Conse-
quently, under the condition where the exposure time is much greater than the period of
oscillation, i.e., τ ≫ 2π/ω, the signal S(τ) can be approximated by the first integral. ( )
( )
{
}
0
0 0
2
1
cos
@
+
S
I
J
t
t
d
d
(5) (5) Figure 4 compares the signal evaluated by Eq. (4) and the approximate signal by Eq. (5) for the
driving frequency of 11 KHz as a function of the exposure time. It is seen that for τ = 1/30 =33 Figure 4 compares the signal evaluated by Eq. (4) and the approximate signal by Eq. (5) for the
driving frequency of 11 KHz as a function of the exposure time. It is seen that for τ = 1/30 =33 Optical Interferometry 68 (ms), the exposure time corresponding to the frame rate of 30 fps (the frame rate used in the
present study), the approximation by Eq. (5) is accurate. Figure 4. (a) Simple Michelson method ( )
( )
{
}
0
0
2
1
cos
@
+
S
I
xJ
t
t
a
d
(7) (7) Here, x is the coordinate axis set up on the specimen’s surface and α is the angle of til Here, x is the coordinate axis set up on the specimen’s surface and α is the angle of tilt. The advantage of this technique in the present context is as follows. In the simple Michelson
method, if environmental disturbance changes the relative phase, it directly affects the signal
expressed by Eq. (5). There is no way of knowing whether the change in the signal is due to
the oscillation amplitude or the environmental noise unless the sampling rate of the optical
detector is higher than the acoustic frequency. When the sampling rate is lower than the
acoustic frequency, the detector’s signal passes though a number of maxima and minima
corresponding to the constructive and destructive interference. On the other hand, if carrier
fringes are introduced, it is always possible to capture the constructive and destructive
interferences; the former corresponds to the bright fringes and the latter to the dark fringes. An optical path length change causes a shift of the fringe pattern in a lateral direction at the
same frequency as the optical path length change. If the optical path length change is due to
the acoustic oscillation of the specimen, the fringes move back and forth transversely to the
beam (dither) at the acoustic frequency. The CCD cannot resolve this fast dithering motion. Consequently, the fringe contrast is reduced. If the optical path length change is due to an
environmental effect, the fringe shift is most likely slower than the sampling rate and can be
resolved as a change in the fringe location by the CCD with the fringe contrast unchanged. A
slight angular misalignment changes the fringe spacing, and causes some error in the fre-
quency-domain analysis as will be discussed later. However, the error is much smaller than
the simple Michelson method. The carrier fringe method is especially effective if the fringe data is analyzed in the spatial-
frequency domain. The reduction in the fringe contrast due to fast dithering is detected in the
Fourier spectrum as a reduction in the height of the main peak at the frequency determined
by the fringe spacing associated with cos αx in Eq. (7). (a) Simple Michelson method Comparison of J0(δ) approximation and complete integral. Figure 4. Comparison of J0(δ) approximation and complete integral. In Eq. (5), the first term 2I0τ is the sum of the optical intensity of the signal and reference arms. Experimentally, these intensities can be easily obtained by blocking one of the arms at a time
and using the CCD behind the beam splitter. By subtracting this term from the total signal and
dividing the result by 2I0τ, we can derive expression of the interference term (Eq. (2)) for the
total intensity configuration as follows. ( )
( )
0
0 0
0
2
cos
2
-
= S
I
J
I
t
t
d
d
t
(6) (6) In principle, by knowing the initial relative phase δ0 from an independent experiment (such
as changing the reference arm length through fringes with the acoustic transducer turned off),
we can even estimate the value of δ from the known curve of J0(δ) and d = δ/k. However, in
reality, environmental noise causes fluctuations in the optical path length. As will be discussed
later, a temperature change of 0.1°C in the air in the beam path can cause a considerable change
in the relative phase δ0. Also, angular misalignment such as the one due to seismic disturbance
reduces the accuracy in the subtraction of the I0 in Eq. (6); since the intensity of the reference
and signal beams is measured at different times from the total intensity, any angular misalign-
ment shifts the beam center on the image plane of the CCD, and that reduces the accuracy of
Eq. (6). (b) Carrier fringe method Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205
6 69 In this method a linear spatial phase-variation is introduced so that the relative phase changes
over several periods of 2π across the cross-section of the laser beam. This technique is known
as the introduction of carrier fringes and widely used in ESPI (Electronic Speckle–Pattern
Interferometry) [7]. Carrier fringes can be introduced by slightly tilting the specimen or the
reference mirror, or by inserting a mechanism to introduce a linear phase variation such as an
optical wedge. Figure 2 shows an example where the specimen is slightly tilted. We can express the CCD’s output in this case by replacing cos δ0 with cos αx as follows. 3.1. Thin film specimens A pair of platinum-titanium (Pt-Ti) coated silicon (Si) thin film specimens is used in the present
experiments. The Si substrate is cut along the [1 0 0] plane and 750 μm in thickness. The Ti
layer is coated on the Si substrate and the Pt is coated over the Ti layer. The thickness of the Pt
and Ti layers are 100 nm and 10 nm, respectively. In one specimen (the treated specimen) of
the pair, the Ti layer is coated after the substrate surface is treated with oxygen-plasma
bombardment. This treatment makes the Si surface hydrophilic, and therefore strengthens the
Ti-Si bond. In the other specimen (the untreated specimen), the Ti layer is coated without a
surface treatment. (a) Simple Michelson method Thus, by forming Fourier spectrum of
the optical intensity profile and evaluating the peak height of the spectrum we can evaluate
the fringe contrast, and in turn, estimate the oscillation amplitude. The spatial fringe shift due
to environmental change in δ0 does not change the Fourier spectrum as it is not a function of
x. An angular misalignment due to environmental disturbance can change the spectrum peak
height, but the effect is relatively small (see below). Optical Interferometry 70 (a) Analysis with simple Michelson method Figure 5 shows the intensity profiles of the reference and signal beams captured by a CCD
placed behind the beam splitter. For the measurement of each profile, the other beam is blocked. Thus, they do not include the interference term in Eq. (1). The reference beam is reflected off
the mirror (the Y-end mirror in Figure 2) and therefore its profile is Gaussian. The signal beam
is reflected off the specimen whose surface is not as flat as the mirror. Consequently, its profile
is somewhat deformed. When these intensities are subtracted from Eq. (1) for the evaluation
of the relative phase in Eq. (2), this causes some part of the interference beam in its cross-
sectional area to miss interference. Figure 6 indicates those non-interfering portion as a dip. Figure 5. Reference and signal beam profiles. Figure 5. Reference and signal beam profiles. Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205
71 Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205
71 Figure 6. Beam profile of interference term. The two profiles in Figure 6 are taken from the same experiment where the specimen is driven
by the acoustic transducer under the same condition; the driving frequency and amplitude
being the same. The left and right profiles are obviously different. The left profile indicates that
the interference term is positive and the left profile indicates that it is more negative. Since the
phase change due to the film surface displacement is not large enough to change the sign of
Eq. (6) (i.e., it is unlikely that J0(δ)<0), it is likely that the difference comes from a change in the
reference phase difference (δ0 in Eq. (6)). http://dx.doi.org/10.5772/66205 Figure 6. Beam profile of interference term. The two profiles in Figure 6 are taken from the same experiment where the specimen is driven
by the acoustic transducer under the same condition; the driving frequency and amplitude
being the same. The left and right profiles are obviously different. The left profile indicates that
the interference term is positive and the left profile indicates that it is more negative. Since the
phase change due to the film surface displacement is not large enough to change the sign of
Eq. (6) (i.e., it is unlikely that J0(δ)<0), it is likely that the difference comes from a change in the
reference phase difference (δ0 in Eq. (6)). (a) Analysis with simple Michelson method The two profiles in Figure 6 are taken from the same experiment where the specimen is driven
by the acoustic transducer under the same condition; the driving frequency and amplitude
being the same. The left and right profiles are obviously different. The left profile indicates that
the interference term is positive and the left profile indicates that it is more negative. Since the
phase change due to the film surface displacement is not large enough to change the sign of
Eq. (6) (i.e., it is unlikely that J0(δ)<0), it is likely that the difference comes from a change in the
reference phase difference (δ0 in Eq. (6)). The two profiles in Figure 6 are taken from the same experiment where the specimen is driven
by the acoustic transducer under the same condition; the driving frequency and amplitude
being the same. The left and right profiles are obviously different. The left profile indicates that
the interference term is positive and the left profile indicates that it is more negative. Since the
phase change due to the film surface displacement is not large enough to change the sign of
Eq. (6) (i.e., it is unlikely that J0(δ)<0), it is likely that the difference comes from a change in the
reference phase difference (δ0 in Eq. (6)). Figure 7(a) shows the interference term as a function of time when the acoustic transducer
is on and off. Apparently, the fluctuation is significantly higher when the transducer is on. Figure 7(b) is the Fourier transform of Figure 7(a). The peak frequency of the disturbance
is less than 1 Hz which is lower than the frame rate of the CCD used in the experiment. This indicates that the phase fluctuation affects the approximated expression Eq. (5) when
the transducer is on. Figure 7. Variation of interference term as a function of time (left) and frequency (right). Figure 7. Variation of interference term as a function of time (left) and frequency (right). It is likely that the temperature rise due to heat emitted from the transducer is one of the causes
of the phase fluctuation. An independent temperature measurement indicates that the air Optical Interferometry 72 temperature easily rises over 0.1°C within 1 s after the transducer is turned on, and that the
temperature fluctuates by ±0.1°C approximately every few minutes. (a) Analysis with simple Michelson method In one set of measurement
in which the transducer is turned on and off every 3 min, a total temperature rise of 0.4°C is
recorded over a period of 30 min. It is suspected that air convection causes the temperature
fluctuation. It is informative to make a rough estimate of the phase change due to the above temperature
change. The optical phase change due to the temperature dependence of the refractive index
of air can be expressed as follows. 2
l
n
d
dT
T
f
p l
¶
=
¶
(8) (8) (8) Here λ is the wavelength, l is the path length, n is the refractive index of air and dT is the
temperature change. The temperature coefficient ∂n/∂T of air is −0.87×10−6 (1/°C) [8]. The arm
length of the interferometer used in this experiment is 10 (cm). The wavelength of the laser
used in this study is 632.8 nm. So, the phase change due to a temperature change of ±0.1°C
over the round trip in the interferometric arm is 20 (cm)/632.8 (nm) ×0.87×10−6×0.1=2.75% (of
the period 2π). Accordingly, the phase error due to the air temperature change of 0.4°C
observed over 30 min is 2.75×4 = 11.0% of the period. The issues of the deformed phase front and the initial phase fluctuation observed in Figures 6
and 7 make it difficult to use Eq. (5) with the total intensity method. In the next section, the
carrier fringe method that greatly reduces the influence of the initial phase fluctuation is
discussed. (b) Analysis with carrier fringe method (b) Analysis with carrier fringe method The fluctuation of the initial phase δ0 can be evaluated with the carrier fringe method as well. In this case, a change in δ0 causes a shift in the carrier fringe location. The top row of Figure 8
shows the spatial shift of carrier fringes at three different driving frequencies. In conducting
the measurement at the three driving frequencies, the voltage input to the transducer is
adjusted so that the oscillation amplitude of the transducer surface is the same for all the
frequencies. It is seen that the shift, i.e., the change in the reference phase δ0 is rather random,
supporting the above speculation that convection of air in the interferometric arm causes the
initial phase fluctuation. The lower row of Figure 8 is the Fourier spectrum of the spatial intensity variation of the fringe
pattern observed at the respective driving frequencies. The first and main spectral peak
observed at the spatial frequency of 0.02 (1/pxl) represents the carrier fringe periodicity of the
light intensity; cos αx in Eq. (6) or the fringe pattern (see top of Figure 9). The Fourier spectrum
is computed from the intensity profile over the horizontal span of 600 pxl (across a horizontal
line near row 250 in the fringe image in Figure 9). Thus, the minimum frequency is 1/600 (1/
pxl). This means that the frequency of 0.02 (1/pxl) corresponds to the 0.02/(1/600) =12th
harmonics, or the periodicity of 600/12=50 (pxl). The fringe patterns in Figure 9 indicate this
periodicity. Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205 Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205
73 73 Figure 8. Fluctuation of the initial phase and corresponding change in Fourier spectrum observed with carrier fringe
method. Figure 8. Fluctuation of the initial phase and corresponding change in Fourier spectrum observed with carrier fringe
method. Figure 9. Effect of fringe shift and intensity profile change on Fourier spectrum. Figure 9. Effect of fringe shift and intensity profile change on Fourier spectrum. The lower row of Figure 8 clearly illustrates the advantage of the carrier fringe method. The
spectrum plotted for each driving frequency is superposition of 100 frames. Since the CCD
frame rate is 30 fps, 100 frames correspond to approximately 3 s in time. Notice that the spectra
observed at driving frequency 14.0 KHz show that the spectrum data are scattered in the
frequency range left of the peak. This observation indicates that the random variation of the
reference phase change is reflected in the low spatial frequency region of the spectrum; as
cosδ0 changes, the total intensity detected by the CCD fluctuates, and that changes the low
spatial frequency component. However, the peak height of the FFT spectrum is unaffected. This is because the peak value corresponds to the spatial dependence cos αx, not cosδ0 as a Figure 9. Effect of fringe shift and intensity profile change on Fourier spectrum. The lower row of Figure 8 clearly illustrates the advantage of the carrier fringe method. The
spectrum plotted for each driving frequency is superposition of 100 frames. Since the CCD
frame rate is 30 fps, 100 frames correspond to approximately 3 s in time. Notice that the spectra
observed at driving frequency 14.0 KHz show that the spectrum data are scattered in the
frequency range left of the peak. This observation indicates that the random variation of the
reference phase change is reflected in the low spatial frequency region of the spectrum; as
cosδ0 changes, the total intensity detected by the CCD fluctuates, and that changes the low
spatial frequency component. However, the peak height of the FFT spectrum is unaffected. This is because the peak value corresponds to the spatial dependence cos αx, not cosδ0 as a Optical Interferometry 74 function of time. Thus, it can be said that the peak height difference comes from the oscilla-
tion amplitude δ in Eq. (6). Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205
73 Here, the change in the total intensity depends on the initial phase
δ0 ; when δ0 is closer to π/2 its change is greater as the cosine function has the greatest slope
around π/2 (Figure 3). Since the initial phase changes randomly, we have no control over the
total intensity. Figure 9 illustrates the advantage of the carrier fringe method more explicitly. This figure
depicts two representative cases observed at driving frequency of 8.5 and 14.0 KHz. For each
frequency, the first and last frames of 100 consecutive frames are shown. Figure 9(a) and (b)
shows the fringe images, the upper graphs of Figure 9(c) and (d) are the spatial intensity
profiles over 640 horizontal pixels, and the lower graphs of Figure 9(c) and (d) are the
corresponding Fourier spectra. In the case of 8.5 KHz driving, the fringe pattern shifts
approximately by 10 pxl over the 100 frames, but its profile is unchanged. In this case, the peak
value of the Fourier spectrum is the same for the first and last frames. In the case of 14.0 KHz driving, the fringe shift is similar or less than the 8.5 KHz case but
the intensity profiles are changed; the fringe image for the first frame (the left image of
Figure 9(b)) shows that the right bright fringe is stronger than the left bright fringe in in-
tensity whereas the image of the last frame (the right image of Figure 9(b)) shows that the
left bright fringe is stronger in intensity. The top graph of Figure 9(d) indicates the differ-
ence in the intensity patterns between the first and last frames more explicitly. In this case,
the peak values of the Fourier spectrum for the first and last frames are different. As indicated above, the fringe shifts are due to the random change in the initial phase. The
change in the intensity profile is most likely caused by angular misalignment of the reference
and signal beams. These observations indicate that while the carrier fringe method is not
affected by fluctuation of the initial phase, the angular misalignment must be suppressed as
much as possible to reduce errors. 3.3. Frequency domain analysis with carrier fringe method The consistency of the spectrum peak observed in Figure 8 indicates that it is possible to
evaluate the oscillation amplitude quantitatively. Consider the relation between the input
voltage to the acoustic transducer and the oscillation amplitude of the film surface. At a
given oscillation frequency, the electric power of the transducer is proportional to the
square of the applied (input) voltage, and the mechanical power associated with the elastic
motion of the film is proportional to the square of the oscillation amplitude. Thus, the in-
put voltage and the film surface oscillation amplitude are proportional to each other. Un-
der the condition that the oscillation frequency is orders of magnitude higher than the
CCD’s frame rate, an increase in the oscillation amplitude reduces the fringe contrast (be-
cause the CCD cannot follow the fast shift of the fringes). Therefore, it is expected that the
blurriness of the fringe pattern increases with the input voltage to the transducer. With the
reduction of fringe contrast, the peak value of the Fourier spectrum decreases. Further, by
fitting the reduction in the fringe contrast with the use of Eq. (6), it is possible to estimate
the oscillation amplitude accurately. Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205
7 75 Figure 10 compares fringe contrasts as a function of the input voltage. As expected, the fringe
becomes blurrier with the increase in the input voltage. Figure 11 plots the Fourier spectra
obtained at the six voltages (including 0 V) indicated in Figure 10. With the increase in the
input voltage, the spectrum peak decreases. Figure 10. Fringe contrast at various input voltage to transducer. Figure 10. Fringe contrast at various input voltage to transducer. Figure 11. Fourier spectra for six input voltages shown in Figure 10. Figure 10. Fringe contrast at various input voltage to transducer. Figure 11. Fourier spectra for six input voltages shown in Figure 10. Figure 11. Fourier spectra for six input voltages shown in Figure 10. Based on the proportionality between the input voltage and the oscillation amplitude, it is
possible to estimate the oscillation amplitude by fitting the experimental relation between the
input voltage and the spectrum peak value to J0(δ) (Eq. (5)). When the input voltage is zero
hence δ = 0, J0 takes the maximum value of unity. As the oscillation amplitude increases, J0(δ)
decreases to the first root at δ = 2.4048. 3.3. Frequency domain analysis with carrier fringe method Thus, by evaluating the peak value relative to the case
when the transducer is turned off, it is possible to estimate the oscillation amplitude d = δ/k. Figure 12 plots the peak values shown in Figure 11 relative to the highest value obtained with
the null input voltage using a factor a in J0(aV) as the fitting parameter. Here V denotes the
input voltage. The measured spectrum peak values fit to the Bessel function reasonably well. Based on the proportionality between the input voltage and the oscillation amplitude, it is
possible to estimate the oscillation amplitude by fitting the experimental relation between the
input voltage and the spectrum peak value to J0(δ) (Eq. (5)). When the input voltage is zero
hence δ = 0, J0 takes the maximum value of unity. As the oscillation amplitude increases, J0(δ)
decreases to the first root at δ = 2.4048. Thus, by evaluating the peak value relative to the case
when the transducer is turned off, it is possible to estimate the oscillation amplitude d = δ/k. Figure 12 plots the peak values shown in Figure 11 relative to the highest value obtained with
the null input voltage using a factor a in J0(aV) as the fitting parameter. Here V denotes the
input voltage. The measured spectrum peak values fit to the Bessel function reasonably well. Optical Interferometry
76 Figure 12. Spectrum peak value as a function of input voltage to transducer. Figure 13. Oscillation amplitude estimated for each voltage input. Figure 12. Spectrum peak value as a function of input voltage to transducer. Figure 12. Spectrum peak value as a function of input voltage to transducer. Figure 13. Oscillation amplitude estimated for each voltage input. Figure 13. Oscillation amplitude estimated for each voltage input. Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205
77 77 77 Now that the Bessel function-like behavior of the spectrum peaks is confirmed, the value of δ
can be estimated from the spectrum peak value obtained for each input voltage relative to the
peak value obtained with the transducer turned off (zero input voltage). Subsequently, the
oscillation amplitude can be found from d = δ/k. Figure 13 plots the value of d found in this
fashion. 3.4. Driving frequency sweep By repeating the same measurement as the lower row of Figure 8, it is possible to find out
the frequency dependence of the film surface. As is the case of Figure 8, the input voltage
to the acoustic transducer is adjusted so that the oscillation amplitude of the transducer
surface is the same for all the driving frequencies tested. Figure 14 shows the result of such
a series of measurement for a driving frequency range of 8–14.5 KHz. Here, the vertical
axis is the value of the Fourier spectrum peak obtained from the intensity profile across the
fringe pattern averaged over five rows near the vertical center of the fringe images. In ac-
cordance with the argument made above, the higher the peak, the smaller the film surface
oscillation. Since the transducer surface has the same oscillation amplitude for all the driv-
ing frequencies, the frequency dependence of the film surface oscillation observed in this
figure represents the transducer surface to the film surface transfer function. Since the
transfer function of the substrate and film materials themselves are considered to be unity Figure 14. Driving frequency sweep of Fourier spectrum peak value. Figure 14. Driving frequency sweep of Fourier spectrum peak value. Optical Interferometry 78 in this frequency range, the transfer function represents the elastic property of the film-sub-
strate interface. The lower the spectrum peak the greater the oscillation on the film surface,
which can be interpreted as the greater oscillation of the interface. The transfer function shown in Figure 14 is obtained for five rows near the vertical center of
the fringe image. By repeating the same procedure for other rows, it is possible to draw a map
of the transfer function. Figure 15 shows a three-dimensional map obtained in this fashion for
four specimens; the untreated, treated, and bare silicon specimens. Here one horizontal axis
is the row number and the other horizontal axis is the driving frequency. The top two plots are
the cases when silicon substrates only are used (called the bare silicon specimens), and the
bottom two plots are cases when the treated and untreated specimens are used. The treated
and untreated specimens are attached to two different acoustic transducers. 3.4. Driving frequency sweep To eliminate the
effect associated with the use of the different transducer, one bare silicon specimen is attached
to the same transducer as the treated specimen and the other bare silicon specimen is attached
to the other transducer used for the untreated specimen. Figure 15. Fourier spectrum peak for several rows as a function of driving frequency. Figure 15. Fourier spectrum peak for several rows as a function of driving frequency. Figure 15. Fourier spectrum peak for several rows as a function of driving frequency. The two plots for the bare silicon specimens appear to be flat, indicating that the bare silicon
specimens do not have clear frequency dependence in the oscillation. On the other hand, the Application of Optical Interferometry for Characterization of Thin-Film Adhesion
http://dx.doi.org/10.5772/66205
7 79 treated and untreated specimens show frequency dependences. As mentioned above, the
frequency dependence represents the elastic characteristics of the substrate-film interface. It is interesting to note that the untreated specimen shows a crater-like pattern around row 250
through 280 near driving frequency of 10 KHz. It is possible to interpret this pattern as
representing the so-called blister effect [9–11]; the interface has a weakly adhered spot where
the film experiences membrane-like oscillation when the specimen is driven. The treated
specimen does not show a crater-like pattern. Instead, there is a valley running through all
rows around the driving frequency of 8 KHz. We observed similar patterns in the treated and
untreated specimens for a number of times. It is possible that the precoating surface treatment
makes the adhesion more uniform so that the chances of the specimen having blisters is lower. These observations particularly interest us because there is no established technique to
evaluate the blister effect non-destructively. 4. Conclusion An optical interferometric method to characterize the elastic behavior of the interface of thin-
film systems is discussed. The thin-film specimen is configured as one of the end-mirrors of a
Michelson interferometer with the film side facing the beam splitter. The specimen is oscillated
sinusoidally with an acoustic transducer. The harmonic response of the film surface to the
acoustic oscillation is detected as relative optical phase difference between the two interfero-
metric arms. An algorithm to estimate the amplitude of the film surface oscillation from the
relative optical phase measurement is discussed. Environmental noise that compromises the relative phase measurement is analyzed. The use
of a carrier fringe system in conjunction with analysis in the spatial frequency domain is
proposed as a method to reduce the influence of environmental noise is discussed. Under some
conditions, the effectiveness of the proposed method is demonstrated with experiment. A sample set of data obtained with Pt-Ti-Si thin-film system is presented. The three-dimen-
sional mapping of the adhesion strength obtained with the carrier fringe method indicates
some behavior of the film surface that can be interpreted as representing the so-called blister
effect. It is interesting to note that the blister-like behaviors observed in the surface-treated and
non-treated specimen are different from each other. This observation is of particular interest
to us as non-destructive evaluation of the blister effect is not easy. More investigation is
under way. This work was supported by the National Research Foundation of Korea (NRF) grant funded
by the Korea government (MSIP), NRF-2013M2A2A9043274, NRF-2011-220-D00002, and the
Louisiana Board of Regents, LEQSF(2016-17)-RD-C-13. Author details Sanichiro Yoshida1*, David R. Didie1, Jong-Sung Kim2 and Ik-Keun Park2 *Address all correspondence to: syoshida@selu.edu *Address all correspondence to: syoshida@selu.edu 1 Department of Chemistry and Physics, Southeastern Louisiana University, Hammond,
Louisiana, USA 1 Department of Chemistry and Physics, Southeastern Louisiana University, Hammond,
Louisiana, USA 2 Department of Mechanical and Automotive Engineering, Seoul National University of Sci-
ence and Technology, Nowon-gu, Seoul, South Korea 2 Department of Mechanical and Automotive Engineering, Seoul National University of Sci-
ence and Technology, Nowon-gu, Seoul, South Korea Acknowledgements This work was supported by the National Research Foundation of Korea (NRF) grant funded
by the Korea government (MSIP), NRF-2013M2A2A9043274, NRF-2011-220-D00002, and the
Louisiana Board of Regents, LEQSF(2016-17)-RD-C-13. Optical Interferometry
0 80 References [1] Lemons RA, Quate CF: Acoustic microscopy. In: Mason WP, Thurston RN, editors. Physical Acoustics. London: Academic Press; 1979; Vol. XIV, pp. 1–92. [2] Weglein RD: Acoustic microscopy applied to SAW dispersion and film thickness
measurement. IEEE. Trans. Sonics. 1980; 27: 82–86. [3] Atalar A: An angular-spectrum approach to contrast in reflection acoustic microscopy. J. Appl. Phys. 1978; 49: 1530–1539. [4] Atalar A: A physical model for acoustic signatures. J. Appl. Phys. 1979; 50: 8237–8239. [5] Telschow KL, Deason VA, Cottle DL, Larson JD: III: Full-field imaging of gigahertz film
bulk acoustic random motion. IEEE. Trans. Ultrason. 2003; 94: 79–88. [6] Yoshida S, Didie DR, Didie D, Sasaki T, Park HS, Park IK, Gurney D: Opto-acoustic
method for the characterization of thin-film adhesion. Appl. Sci. 2016; 6: doi:10.3390/
app6060163. [7] Sciammarella CA, Sciammarella FM: Experimental Mechanics of Solids. Hoboken:
Wiley; 2012. ISBN-10: 0470689536. [8] Effect of Temperature on Refractive Index (dn/dt). Available from: http://www.ohara-
gmbh.com/e/katalog/tinfo_2_4.html [Accessed on 2016-09-11]. [9] Bedrossian J, Kohn RV: Blister patterns and energy minimization in compressed thin
films on compliant substrates. Commun. Pure Appl. Math. 2015; 68: 472–510. [10] Dennenberg H: Measurement of adhesion by a blister method. J. Appl. Polym. Sci. 1961;
5: 125–134. [11] Volinsky AA, Moody NR, Gerberich WW: Interfacial toughness measurements for thin
films on substrates. Act Mater. 2002; 50: 441–466.
|
https://openalex.org/W2010787595
|
https://journals.oslomet.no/index.php/formakademisk/article/download/801/1117
|
English
| null |
From Product to Service Design: A Thinking Paradigm Shift
|
Formakademisk
| 2,014
|
cc-by
| 10,412
|
Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Abstract Society, industry and the economy are all experiencing changes caused by a shift from products
to services. While a “problem-solving” approach is commonly used for the development of
products, new design approaches are needed as the primary unit of exchange moves from goods
to services. This research argues that a fundamental transformation in the design world is
taking place, manifested in a thinking paradigm shift from problem solving (designing
products) towards systems thinking (designing services). This paper draws on design literature
to identify concepts of systems thinking and problem solving to help understand core elements
in the shift from product to service design. It also reports on a series of semi-structured
interviews with designers working in five design consultancies that have moved from product
design to services design. The results show a change in the way designers think and approach
projects when facing the challenges of designing services, confirming a movement from
problem solving to systems thinking. However, systems thinking is not replacing problem
solving but complementing it. The results also indicate that the growing complexity of the issues
designers deal with influences the adoption of systems thinking in responding to service design
challenges, as well as current changes in people’s ideas about sustainability and society. Keywords: Service design, product design, systems thinking, paradigm shift, innovation,
problem solving www.FORMakademisk.org Moving away from problem solving in product design Problem solving is regarded as a main driver for design activity (Lawson & Dorst, 2009). Designers tend to develop products in response to phenomena framed as “problems”. This way
of dealing with a world they are supposed to modify and improve gives designers the means to
focus their activities towards an end. Also, it provides a pattern to measure the success of their
design proposals against, since “problems solved” can often be seen as an indicator of “good
design solutions”. In addition, the problem-solving approach can also define the design process in full. Johansson-Skoldberg et al. (2013, p. 125) suggest that the design process is a problem-solving
activity framed by analytical and synthetic thinking, and present Buchanan’s idea that design
activity is related to a “step-by-step model of the design process with its two distinct phases: an
analytical step of problem definition, followed by a synthetic sequence of problem solution”. As the problem-solving approach helps designers to focus, to measure the success of their
creations and to undertake design activity following a suitable design process, it seems to be
sufficient as an overarching principle for product design activity. However, the problem-solving approach seems to be associated with a model of design
that may be becoming obsolete. On the one hand, as suggested by Jonas (1996), this approach
seems to be based on the assumption that problems can be well-defined and solved through a
good knowledge of people’s needs and desires, and that it assumes the designer’s ability to
know what is “good for people”. This renders design as an activity almost exclusively driven
by the designers’ own understanding of the issues they are dealing with. However, user
involvement through participatory design methods is increasingly becoming standard practice
in design. As a consequence of this, the problem-solving approach model coming from the
“design methods movement” underpinned by cybernetic thinking from the 60’s and 70’s (Jonas,
1996), seems to be at odds with the idea of a design process in which users take an active part
in the formulation and resolution of issues through design. Conversely, as social change and technological developments mean that society is
becoming more interconnected, and new ways of interaction and organisation lead to new
experiences and ways of being, so the nature of the issues that designers deal with are changing,
as is the way in which designers deal with them. Literature review A literature review has been conducted in order to identify the two main concepts of this
research, problem solving and systems thinking, and how they relate to product and service
design. This has been embedded in a narrative that describes the transition from product design
to service design in current design practice, articulating the adoption of systems thinking by
service designers in response to the increasing complexity of services. This literature review
covers the areas of design (product design and design thinking in particular), service design
(mostly from the design point of view and occasionally from the management perspective),
systems thinking and complexity. The narrative has been developed around 5 main headings: -Moving away from problem solving in product design -The shift from product to service design -Services as complex systems -Designers dealing with services are designers dealing with systems -Systems thinking in the design of services Introduction Society, industry and the economy are all experiencing a shift from products to services. As a
result of this there is an on-going ‘conceptual shift’ in business and industry characterised by a
movement from traditional goods-centred dominant logic (G-DL) to emerging service-centred
dominant logic (S-DL) (Vargo & Lusch, 2008). While a “problem-solving” approach is commonly used in the design of products(Cross,
1990; Taura & Nagai, 2011; Rogers et al., 2005; Dorst & Dijkhuis, 1995) the primary unit of
exchange is moving from goods to services (Vargo & Lusch, 2008) evidencing that new design
approaches for the development of services are needed. This need becomes even more critical
as on the one hand, the very nature of products that might be related to services has changed
from being purely physical and tangible to become a mixture of both physical and virtual (or
intangible) attributes (Rodriguez, 2010); while on the other hand, goods are being absorbed or
replaced by services, which are now considered to be specialised competences such as
knowledge and skills that people can acquire and exchange (Vargo & Lusch, 2008). These changes have direct implications for the work of designers and the way they
approach problems and issues. Designers are moving from product-centred design activity to
product-service or service-centred design activity. As Young (2008, p. 43) explains, “The shift
in focus from product- and artefact-centred design theory to system- and service-oriented
thinking has followed the advent and growth of services in our economy and society
accompanied by corresponding changes in technology”. This research seeks to understand if a fundamental transformation in the design world
is taking place, manifested in a thinking paradigm shift from problem solving (designing
products) to systems thinking (designing services). Bearing in mind the increasingly complex
issues designers face while designing services, systems thinking would appear the most
appropriate approach As Hugentobler et al. (2004, p. 2) argue, while discussing the implications
of systems thinking as an answer to complexity as a problem, “If we really want to support the
shift from designers as executants to designers as executives, who originate ideas and plan Vol.7, Nr.3, 2014, Art. 5, 1-27 1 www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift processes to put these ideas into practice, then systems thinking has to be considered an essential
part of this programme.” Moving away from problem solving in product design Jonas explains how a problem-solving
approach is becoming less central in design, as designers have to deal with issues that are
complex, fuzzy, non-predictable and pluralistic in values. He describes them as “ill-defined” Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org 2 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift problems, arguing the need for design tools and methods for “the description and analysis of
complex problem fields” (Jonas, 1996, p. 4). The shift from product to service design f f
p
g
While dealing with increasingly complex issues, product designers have expanded the scope of
their activities beyond the design of objects within their “traditional” boundaries of form,
function, material and production (Miettinen, 2011, p. 56), moving into the realm of
interactions, systems and environments. Consequently, the conception of product amongst
product designers has departed from its material existence, becoming activities, services, and
policies (Buchanan, 2001). p
(
)
This expansion in the activity and scope of product designers, framed by the economic
and industrial shift from G-DL to S-DL, has enabled them to move into the design of services. Additionally, specific product design perspectives such as “a user-centred design approach, a
variety of qualitative and quantitative research and data gathering approaches, and visualisation
techniques such as sketching, imagining and prototyping” (Miettinen, 2011, p. 60) has allowed
product designers to champion the development of service design as a new design discipline
heavily underpinned by research and user involvement. For example, this can be noticed in the
UK in the creation of pioneering services design consultancies by product designers such as
Live Work (2001), or Engine (2000), or by innovative curricular shifts in product design courses
towards the design of services such as took place at the Glasgow School of Art in 2005. In this
context, service design can be thought as an enquiry rather than a problem-solving activity,
situated in the realm of non-engineering design and based on the conception of services as the
basic unit of economic exchange instead of something distinct from goods (Kimbell, 2011). Diagram 1 shows Kimbell’s graphic synthesis of this concept. Diagram 1 (Redrawn from (Kimbell, 2011) Diagram 1 (Redrawn from (Kimbell, 2011) 3 3 Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Designers dealing with services are designers dealing with systems Designers dealing with services are designers dealing with systems
It seems that while designing services, designers need to deal with the “complexity and multiple
stakeholders that are inherent in services Polaine et al., (2013, p. 187) and with ‘systems’ that
“present a different type of complexity than industrial products” p. 85. Additionally, Clatworthy
(2011, p. 80) identifies services as systems in which “customers and services interact through
many different touch points during the customer journey”. Also, alluding to the services
dynamic nature, Clatworthy (2011, p. 85) argues that “services require us to design systems that
adapt well to constantly changing parts”. Following Polaine and Clathworthy’s connection
between the design services and the development of systems, and their consideration of services
as complex dynamic systems, it seems natural that there is a need for designers to use a systemic
approach when facing the challenges of designing a service. From a different perspective, Love (2003) problematises the “uncritical conflation of
the activities of designing and systems analysis” as it can create confusion in the theoretical
development of both fields, as well as leading to the hampering of design and system analysis
processes and outcomes. In contrast to the systems thinking approach, Love suggests that the
problem-solving approach provides “information that designers and design stakeholders can
draw on to make better judgments about the compositional issues that are central to the core
activity of designing” (Love, 2003, p. 4). Yet Love recognises that designers use “system
methods and perspectives” as sophisticated tools for gathering information. However, using
“system methods and perspectives” simply for gathering information seems to be insufficient
to help understand the complex and fuzzy issues designers might be trying to address, and to
unravel possible undetected areas with potential and relevance for design intervention. The
scope of systems thinking can be wider, and encompass critical analytical, synthetic and
creative aspects of the design of services. As Nielsen & Nielsen (2009, p. 5) explain,“having
detailed knowledge about the service as a system opens up for experimentation with new
innovations around how the service can be designed.” www.FORMakademisk.org Services as complex systems Services often involve complex interactions between users, service providers and other
stakeholders. Furthermore, they mediate the exchange of information and goods between
people. Services are regarded as “complex and multifaceted phenomena” that comprise
interrelated aspects as diverse as: “Environment, domain, activities, tools and artefacts, goals,
agents, collaborations and group value(s) and Effectiveness” (Wild, 2009, p. 25). Making such reference to the complexity of services, Polaine et al. (2013, p. 81) justify
the use of the ‘ecologies metaphor’ used to describe how services often “harbour a complexity
that can be compared to systems in nature”. As systems, services can ‘interact’ with other
services creating networks of services, becoming service systems. Also, as the provision of
services from companies and organisations are often interlaced with the provision of products,
they become product service systems (PSS) (Morelli, 2006). Systems thinking in the design of services As services can be thought of as systems, and designing systems of services might offer scope
for a service designer, the adoption of systems thinking seems to become essential for the
practice of service design. Thus several authors recognise the importance of systems thinking
in services design. For example, while Gloppen (2009, p. 89) describes systems thinking as a
research area to “further develop the service design leadership role”, Kwon & van Boeijen
(2012) see systems thinking as one of the three service design focuses along with experience
and time-based medium. As the service design discipline emerges, networks of services grow and evolve,
generating newer and wider networks of interdependent systems. Within these systems and their
complexity lie the challenges for service designers. In this respect Polaine et al. (2013, p. 85) Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org 4 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift explain, “These systems present a different type of complexity than industrial products. Products require designers to deal with many moving parts, but services require us to design
systems that adapt well to constantly changing parts. Networks, organizations, and technology
evolve on a daily basis, but the service still needs to deliver a robust customer experience”. explain, “These systems present a different type of complexity than industrial products. Products require designers to deal with many moving parts, but services require us to design
systems that adapt well to constantly changing parts. Networks, organizations, and technology
evolve on a daily basis, but the service still needs to deliver a robust customer experience”. y
p
Consequently, it is not surprising that systems thinking has been adopted by service
designers, as the Design Council’s RED paper 2 reports that “A number of design groups have
broadened the scope of design to include disciplines such as interaction, experience and service
design. All of these demand a holistic approach, a level of systems thinking, a focus on
individual behaviour, and the orchestration of a range of different design inputs.” (Burns et al,
2006, p. 10) Nelson & Stolterman suggest a view of systems thinking with characteristics that seem
to cohere with fundamental aspects of service design, and which opens up the possibility of
being used beyond Love’s concept of “gathering information”. Systems thinking in the design of services In their book “The Design
Way”, they outline a list of elements that characterise the systems approach, which coincides
with the holistic, dynamic and complex nature of designing services (Nelson & Stolterman,
2012, p. 60): www.FORMakademisk.org Systems approach • Interrelationships/compositions • Interconnections/emergence • Inclusive, unifying, and integrating • Holistic inquiry • Observer dependent • Multidimensional • Mutual: - Analytic and synthetic - Left and right brain - Rational and aesthetic - Objective and subjective - Individual and unified - Complex and simple - Complex and simple
- Similar and different - Similar and different - Thinking and acting - Big picture and details Nelson & Stolterman argue the existence of two distinctive scholarly discourses around the idea
of systems. They identify systems from an epistemological stance when they are an “embodied
way of thinking” or from an ontological stance when a system is “the thing that is thought
about”. The ontological stance refers to the “understanding of systems as “real things” and is
located within the confines of system science and the scientific method. The epistemological
refers to a “systemic inquiry approach”, which focuses on a way of thinking that enables
different fields of focused enquiry to be related to each other”. These authors emphasise the
idea that systems thinking is “a stance that can be assumed by a change in mindset”, one which
relies less on the “mastery of a set of theories, methods, and facts”. (Nelson & Stolterman, 2012,
p. 64) This study takes the view of systems thinking as a way of thinking about and
understanding phenomena, embracing Nelson & Stolterman’s elements of a system approach. Their systems thinking approach can help to understand relational aspects of otherwise fuzzy
and complex issues, and become an instrument of analysis and synthesis. Rather than a
collection of science-based methods, systems thinking should be read in this study as a world
view that sees things as being holistic and interconnected (Maani & Maharaj, 2001). Vol.7, Nr.3, 2014, Art. 5, 1-27 5 5 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Vol.7, Nr.3, 2014, Art. 5, 1-27 Approach and methodology pp
gy
As the literature review provides a theoretical framework for this study, it also contextualises a
series of one hour semi-structured interviews with designers from five different design
consultancies (Table 1) who have moved from product design to services design. Table 1
These designers have been chosen as they are regarded as protagonists in the shift from product
to service design, mainly in the UK. Table 1 shows primary information about the interviewees. Diagram 2 presents a timeline illustrating some of the interviewees’ relevant landmarks within
the context of product and services design during the last 20 years. These designers have been chosen as they are regarded as protagonists in the shift from product
to service design, mainly in the UK. Table 1 shows primary information about the interviewees. Diagram 2 presents a timeline illustrating some of the interviewees’ relevant landmarks within
the context of product and services design during the last 20 years. Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org www.FORMakademisk.org 6 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift www.FORMakademisk.org
7
Vol.7, Nr.3, 2014, Ar
Diagram 2 Diagram 2 Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org www.FORMakademisk.org www.FORMakademisk.org www.FORMakademisk.org 7 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift The interviews aimed to elicit interviewees’ perceptions of: www.FORMakademisk.org The interviews aimed to elicit interviewees’ perceptions of: Concepts: In order to gain understanding of the interviewees’ perceptions about the
relevant concepts by which they might articulate their views (on products, services,
service design)
The shift: With the purpose of understanding interviewees’ view of the shift from
product design to service design (drivers, development, influences)
Design thinking/approach: To elicit interviewees’ perceptions about the potential
changes in their design thinking and approach, particularly in relation to problem
solving and systems thinking (in the context of the shift from designing products to
designing services). Concepts: In order to gain understanding of the interviewees’ perceptions about the
relevant concepts by which they might articulate their views (on products, services,
service design) Concepts: In order to gain understanding of the interviewees’ perceptions about the
relevant concepts by which they might articulate their views (on products, services,
service design) p
y
y
g
(
p
,
,
service design)
The shift: With the purpose of understanding interviewees’ view of the shift from
product design to service design (drivers, development, influences)
Design thinking/approach: To elicit interviewees’ perceptions about the potential
changes in their design thinking and approach, particularly in relation to problem
solving and systems thinking (in the context of the shift from designing products to g
The shift: With the purpose of understanding interviewees’ view of the shift from
product design to service design (drivers, development, influences) To achieve this, the interview questions were divided into five main themes, normally with two
questions each. Interviewees were asked to answer each question, and on occasions to draw or
write some of their ideas (to facilitate eliciting their thoughts). The themes and questions were
as follows: Theme 1 - Product vs. services
What is the difference between a product and a service? How different is it to design a product than a service? Theme 2 - Design of Services
When did you start to design services and why? (What was the first service design
project you did?)
Wh
d
i
kill h
d
l
d f
d
i
i
i
? What design skills have you developed for designing services? Theme 3 - Shift from products to services
There has been a shift from product to services design. What has influenced this shift? How has professional practice changed with the design of services? The interviews aimed to elicit interviewees’ perceptions of: (Has the nature of
your work changed?) me 4 - Problem solving and systems thinking Theme 4 - Problem solving and systems thinking
Would you be able to write 5 words to explain your design thinking when designing
products and when designing services? You have one minute for each. Would you be able to write 5 words to explain your design thinking when designing
products and when designing services? You have one minute for each. Problem-solving thinking is a fundamental skill for the design of products. Do you
agree? Elaborate. ems thinking is a fundamental skill for the design of services. Do you agree? Elaborate. Systems thinking is a fundamental skill for the design of services. Do you agree? Elaborate. How does problem solving weigh in comparison to systems thinking when designing
products and when designing services? y
g
g
y
g
How does problem solving weigh in comparison to systems thinking when designing
products and when designing services? The interviews were conducted personally or via Skype. They were audio-recorded and
summarised. The audio recordings were played and listened to by the researchers several times
and notes of key concepts were taken on Post-its. These Post-its were subsequently organized
on a grid, becoming a method of coding. Further discussions took place between the researchers
in order to identify and differentiate the range of views in response to the interview questions. Diagrams and tables helped to synthesise emerging ideas and findings. The findings of this study have been synthesised following the themed structure of the
interview. Each theme corresponds to individual sub-sections. The views of the interviewees
have been reported, emphasising perceived commonalities and differences between the
interviewees’ responses. At the end of each subsection a table or a diagram has been included,
synthesising emergent ideas. Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org 8 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift The discussion section examined the findings and made comparisons with the literature review. By extrapolating theory from the literature and first-hand information from the interviews, an
attempt has been made to offer a synthetic view of the extent to which a shift in design thinking
has taken place in the transition from product to design services, moving from a problem solving
to a systems thinking approach. The interviews aimed to elicit interviewees’ perceptions of: The validity of this research is limited, as its finding are based on the subjective
perceptions of the researcher about the phenomena studied, as well as the views collected from
the people interviewed. Equally, it has limitations in terms of reliability (generalisation) as the
number of people interviewed does not constitute a representative sample of people involved
in the issues of this study. The claims of this study are moderatum generalisations (Payne & Williams, 2005) and
do not attempt to offer a comprehensive and definitive explanation of the phenomena studied. However, a start has been made to underpin further and more conclusive research on the subject
of the shift from problem solving to systems thinking in services design. Findings The interviews were structured according to the main themes of the research, in order to gain
understanding of (i) the interviewees’ perceptions of the differences between products and
services; (ii) what the design of services entails; (iii) how the shift from product to service
design developed; and (iv) their views about changes in their thinking with regard to problem
solving and systems thinking. Theme 1 - Product and services This difference
relates to the “manufactured” character of products and to the relationship of services with
“organisational change” and “back-end systems”. For example one of the interviewees declares that while the process is the same, different
“crafts” and “techniques” are employed for the design of services and products. This difference
relates to the “manufactured” character of products and to the relationship of services with
“organisational change” and “back-end systems”. Another interviewee emphasises the scale of products and services as a factor affecting
their design process. She suggests that the design process for services is more complex as
services are “bigger” and more complex than objects. One of the interviewees suggests that there is a substantial difference between the
development of prototypes when designing products and services. In the first instance, the
prototypes are a representation of the final product made through models, renderings and mock-
ups amongst others. In the second instance, prototypes are the realisation of the entire service,
only at a smaller scale in terms of duration and coverage (number of stake holders). Actually,
it is a fully functional scaled down version of the service (a pilot), rather than a representation
of it. Another interviewee seems to imply that there is only one design process, This process
helps to understand the context in such a way that a decision can be made about whether a
product or a service is the best medium to deliver a design solution. Another interviewee argues that the design process is affected by the nature of services
and products in regard to their complexity and constrains. He explains how products have
limited features and functions, and therefore the process to design those deals only with a
defined set of constrains. In contrast, services are complex in nature and ask the design process
for a broader set of deliverables. He says “the more you work on it, the more you uncover”. Yet there seems to be one single difference at a higher level in the process of designing
products and services, in the form of an additional step towards the end of the process. For
products, the design process finishes with the final specification for production. For services it
goes beyond the specification of the service to include the implementation of it and, in some
cases, the initial running of it. Theme 1 - Product and services What is the difference between a product and a service? Views on the differences between product and services amongst services designers are
noticeable and not homogeneous. One of the interviewees believes that products and services relate functionally to each
other, as products can deliver services and services are “ecosystems” that can contain products. Two other interviewees see the difference in terms of interaction. They explain that
while a product involves a single interaction, a service consists of multiple and different
interactions over time. One interviewee declares that the nature of products is static (as they remain unchanged
once they have been designed) and the nature of a service is dynamic: they have an “on-going”
and flexible character. He highlights the wider scope of services, which includes for example
the role of people. Another interviewee makes reference to the physical character of products as opposed
to the intangible character of services. This interviewee highlights the commonality of product
and services as they are both means by which design solves problems. A further interviewee emphasises the academic character of any differentiation between
products and services, arguing that this is not relevant for users. Six criteria emerged from the interviewees’ answers to establish differences between
products and services: -Complexity and number of interactions -Static/dynamic character -Static/dynamic character
Scope -Static/dynamic character
-Scope -Scope -Tangibility -Relationship with problems -Relevance of differentiation Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org 9 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift According to these criteria, perceived differences between products and services are outlined
in Table 2. According to these criteria, perceived differences between products and services are outlined
in Table 2. Table 2 How different is it to design a product than a service? How different is it to design a product than a service? Services designers seem to agree that the process for the design of services and for the design
of products is similar at a high level. However they find some differences at lower levels. Vol.7, Nr.3, 2014, Art. 5, 1-27 10 www.FORMakademisk.org www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift For example one of the interviewees declares that while the process is the same, different
“crafts” and “techniques” are employed for the design of services and products. Theme 1 - Product and services To summarise, the differences between designing a product and a service relate to five
main areas: first, in relation to the craft and techniques employed; secondly in terms of their
perceived complexity; thirdly, regarding the type of prototypes employed; fourthly, concerning
the project constraints and breadth of expected deliverables; and finally, in connection with
their process length, number of steps and end point. Table 3 illustrates the perceived differences
between designing a product and designing a service. Vol.7, Nr.3, 2014, Art. 5, 1-27 11 www.FORMakademisk.org www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Table 3 Table 3 Table 3 Theme 2 - Design of Services g
f
When did you start to design services and why? (What was the first service design project you
did?) When did you start to design services and why? (What was the first service design project you
did?) When did you start to design services and why? (What was the first service design project you )
It seems that the transition from product design to services design occurred gradually and started
with the realisation of the importance of user experience and user-centred design. It seems that the transition from product design to services design occurred gradually and started
with the realisation of the importance of user experience and user-centred design. One interviewee reported that his first contact with services design occurred during one of his
projects when studying product design. He realised that a very important part of the product he
was designing was to offer to its user a good experience. His first professional services design
project was at Cisco. It was related to data storage, and he integrated work carried out by
developers with the insights of users. Another interviewee was also exposed to services design for the first time during her
product design course at the Glasgow School of Art. While developing a project involving a
lamp shade, she went beyond it by setting up a website to allow customers to personalise their
products. Later she got involved in services design through a social innovation lab organised
by Nesta and from there she set up a design services consultancy. One of the interviewees started his first service-related design activities while working
for the Red group at the design council, exploring new interactions for voting, citizenship
ceremonies, etc. www.FORMakademisk.org Theme 1 - Product and services This made him realise the importance of experiences and behaviours in design. Vol.7, Nr.3, 2014, Art. 5, 1-27 12 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift He then specialised in services design projects, working for the design consultancy Participle
and later in social innovation design at Tacsi in Australia. Another interviewee with an educational background in product design and interaction
design got involved in the design of services via his professional activity designing web pages. His first design services project was about data management. He then co-founded Livework,
considered by many to be the first services design consultancy. It is noticeable that all of these designers have moved from product design to services
design, but none of them have returned to product. Instead they have moved to other areas such
as experience design or social innovation design. Four main reasons explain why the product designers who were interviewed moved into
services design. First, the nature of their design approach “naturally” led them to the
development of services rather than products as a design output; secondly, the government
agenda seems to stimulate design work in the area of services; thirdly, the transferability of
their product design skills to service design challenges enables them to make a swift transition;
and finally, the development of new professional design areas stimulated the shift. Table 4
summarises these reasons. Table 4 Table 4 Table 4 13 Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift What design skills have you developed for designing services? As service designers, the interviewees felt they had developed a wide set of skills. These skills
have been grouped into 10 different categories: Attitude, Interpersonal, Research,
Communication, Participatory Design, Aesthetics, Business, Thinking (about the situation),
Knowledge and Interdisciplinary. It is noticeable that systems thinking was named by only one of the designers, while
skills related to business were mentioned by three of them. The categories of Research,
Communication and Thinking (about the situation) are the ones that have most items,
suggesting some emerging skills in the shift from product to services design. Table 5 shows the
skills developed according to the interviewees’ account. 14 Vol.7, Nr.3, 2014, Art. Theme 3 - Shift from products to services Theme 3 - Shift from products to services f f
p
There has been a shift from product to services design. What has influenced this shift? f f
p
g
f
f
It seems that a diverse collection of factors has influenced the shift from product to services
design. First, general awareness and concern amongst designers (and the general public) about
environmental issues has increased: for example, one of the interviewees says that
environmental concerns are moving designers to think that creating fewer objects is a positive
action. He also says that as objects become multifunctional they become “dumb”, as they are
difficult to use and most of their functions become redundant and easily replaceable in a service
environment. As function is delivered mostly through an immaterial entity (the service),
services seems a more sustainable (and designerly) option to physical products. He also
mentions that this is sometimes not supported outside design, and that for example some
politicians in the UK still support the development of products over services, in the hope of
generating more employment in the manufacturing sector. Secondly, the worldwide expansion of the internet and the development of interactive
technology has also played a fundamental influence on the shift. One of the interviewees
explains it by saying that being digital enable multimodal experiences, and that this enables
designers to develop services that improve user journeys. Networking technologies and the
internet are also identified by other interviewees as accelerators and amplifiers of the services
phenomenon. A third aspect relates to an on-going trend in social and government environments
towards user and citizen centeredness. As highlighted by another interviewee, this implies the
need for service design thinking rather than product design thinking, as “face to face” design
interventions typical of service design practice are required, such as co-design, user
conversations, etc. He also highlights that services, as opposed to products, are a better platform
for inducing behavioural change, for finding new innovation methodologies and new business
models in public services, and to tackle social challenges such as youth disengagement or child
protection issues. While he recognises the potential of services design to bring tools to
addressing these challenges, he also insists on the need for a rigorous approach that involves
other disciplines such as business or social sciences in order to achieve real innovation. Theme 1 - Product and services 5, 1-27 14 www.FORMakademisk.org www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Table 5 15 Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Theme 3 - Shift from products to services Otherwise, he says, “...if we keep doing the same thing, we will keep getting what we always
got.” One last aspect that influences the shift relates to the start-up phenomenon. One of the
interviewees argues that this embodies the transition from product to services, as it enables the
design and development of new services business models. The interviewee comments that this
might be a negative development for established services design consultancies, as the start-up
model removes the need for a service designer. This is becoming ever more critical, as current
services design consultancies have relied too much on public funding for their work (as they
mostly works for public organisations), and have developed less expertise in working with
business and the private sector (at least in the UK). Diagram 3 shows a summary of factors influencing the shift from product to services
design according to the interviewees. Vol.7, Nr.3, 2014, Art. 5, 1-27 16 www.FORMakademisk.org www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift
Diagram 3 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Diagram 3 How has professional practice changed with the design of services? (Has the nature of your
work changed?) How has professional practice changed with the design of services? (Has the nature of your
work changed?) As one of the interviewees explains, the manufacturing industry has been drying out in the last
30 years and this has made product designers refocus their professional practice towards the
design of services. Initially, they concentrated on working for the public sector and the
government, as their agenda focused on behavioural change and having people’s needs driving
their activity and policies. With the financial crisis, public funding for pursuing this agenda
became less abundant and a new shift towards the financial, insurance and banking services
occurred. Consultancies such as IDEO exemplify this shift. In this context, there have been noticeable changes in the practice of design. For
example, services designers need to invest time and energy in justifying their research methods
(as that often requires investing more time and money than clients would expect). As one of the
interviewees explains, this might be necessary because some of the research methods used by
designers are perceived by their clients as something they have already done. www.FORMakademisk.org www.FORMakademisk.org Theme 3 - Shift from products to services One aspect raised by several interviewees highlights the increased focus of design
activity on understanding people, their needs and behaviours, as the expected design output is
often a user behavioural change. However, as another interviewee explains, designers need also
to focus their activity beyond customer experience improvement towards the design of the
business model. Another important change relates to the disciplinary identity of the designers. Services
design projects often involve teamwork with people from a wide range of disciplines, and with
different project stakeholders. The activity of these teams, as highlighted by one of the
interviewees, is centred on the purpose rather than the participants’ skills. Therefore, designers
ought to “care” less about their discipline, and be more ready to embrace other people’s
approaches. One of the interviewees illustrates this by explaining how, in the interdisciplinary
project sessions he holds in his services practice, he asks colleagues to “leave their profession” Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org www.FORMakademisk.org 17 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift outside the meeting room, and come in not as designer or architect, or whatever profession they
have, but as a person. One last change is expressed by one of the interviewees as the need for designers to be
more responsible. This refers to the idea that the design of a service does not end with the
approval of a final concept (as may well happen in a product design project). Instead, the service
design project includes the realisation of prototypes and the implementation of pilots for testing
purposes, and can also include the operation and running of the service for an initial period. As
this happens, the designers’ area of responsibility increases, as well as the provision of their
design toolkit. Diagram 4 illustrates the main changes in professional design practice while doing
service design identified by the interviewees. Diagram 4 Theme 4 - Problem solving and systems thinking Theme 4 - Problem solving and systems thinking Theme 4 - Problem solving and systems thinking g
y
g
The questions relating to problem solving and systems thinking did not offer the interviewees
a predefinition of these concepts or ask them directly to give their own definition. However, as
inferred from their answers, it became evident that although the interviewees did not have an
homogeneous understanding of problem-solving thinking and systems thinking they did share
several fundamental ideas in their definitions, especially in regard to systems thinking. The first interviewee, for example, describes problem solving as a designer’s mental
process for seeking, finding and creating new visions and new technological opportunities in
order to solve issues. He believes that systems thinking as well as problem solving is part of
design thinking and that both are fundamental to being a designer. He refers to systems thinking
as architectural orchestration. He argues that since product designers need to understand various Vol.7, Nr.3, 2014, Art. 5, 1-27 18 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift complex processes such as manufacturing processes, as well as investment and how
organisations do things, they will use problem solving more than systems thinking, while in
designing services he believes that the “eco-system” is much more complicated or perhaps
much less mature and fuzzier, needing more of a systems thinking approach. complex processes such as manufacturing processes, as well as investment and how
organisations do things, they will use problem solving more than systems thinking, while in
designing services he believes that the “eco-system” is much more complicated or perhaps
much less mature and fuzzier, needing more of a systems thinking approach. g
y
g pp
The second interviewee thinks that to create new products a designer has to constantly
use problem solving thinking to identify problems. She sees systems thinking as a quality that
a service designer should have in order to design services and as an ability to deal with
complexity. She thinks that in systems thinking the designer’s brain will zoom out from very
specific things or from single things to tackle more complex situations or systems comprising
various elements. Another interviewee believes that systems thinking refers to the ability to deal with
complex situations, where multiple elements need to “work together”. Theme 4 - Problem solving and systems thinking It also relates to the
ability to systematise and to grow or scale things and keep them working. It is also about the
ability to think of multiple interrelated concepts and being able to see a situation from the
outside. The fourth interviewee thinks that systems thinking is a tool to understand the impact
that individual products or services have in society in the context of a complex world. Within
systems thinking, problem solving can result from problem analysis. Problem analysis is the
identification of the current state of affairs at the onset of the design process. The last interviewee thinks that systems thinking is a way of understanding situations
structured as networks of interconnected nodes. He also regards problem solving as design,
implying that problem-solving thinking is equivalent to design thinking. It is clear that all these competing views have in common the idea of systems thinking
as a necessary skill to deal with complexity and fussiness, and as a design tool to enable
designers to step back from specific problems and rethink them as part of wider complex
systems. Even if they not agree, they do not contradict the view this study takes (as explained
in the literature review) that systems thinking is a way of thinking about and understanding
phenomena, and a holistic world view which helps to understand relational aspects of otherwise
fuzzy and complex issues, thus becoming an instrument of analysis and synthesis. Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift www.FORMakademisk.org Would you be able to write 5 words to explain your design thinking when designing products
and when designing services? Would you be able to write 5 words to explain your design thinking when designing products
and when designing services? The interviewees were able to identify a wide range of words to describe their thinking while
designing products and services. Even though most of them manifested at the beginning of the
interview (in theme 1) that the design of services was not that different from designing products
(at least at a higher levels), the results of this question seems to indicate otherwise. Out of 12
words elicited for product and 10 for service, there was only one in common: user. This leads
to thinking that the user-centred approach, common amongst product designers, is transferred
to the design of services. It is also noticeable that words directly associated with systems
thinking, such as network, organisation, system, task, outputs and process, were only include
as descriptors for the design of services. Table 6 shows the design thinking concepts elicited by the interviewees. The words in
the left-hand column represent categories identified by the researchers of this study. Vol.7, Nr.3, 2014, Art. 5, 1-27 19 www.FORMakademisk.org www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shi Table 6
Problem-solving thinking is a fundamental skill for the design of products. Do you agree? El b
t Table 6
Problem-solving thinking is a fundamental skill for the design of products. Do you agree? Elaborate www.FORMakademisk.org Table 6 Problem-solving thinking is a fundamental skill for the design of products. Do you agree? Elaborate. The interviewees generally agreed that problem-solving thinking is a fundamental skill for the
design of products. However, some of them suggested that there are equivalent but more
“positive” ways of framing this skill, implying the negative character of the word problem. One
interviewee equates “problem” with “opportunity”, emphasising the optimistic character of the
later. Similarly, another interviewee proposes to replace problem-solving with opportunity-
grasping. g
p g
Some additional observations were made on the usefulness of problem solving. For
example, one of the interviewees stated that the problem-solving approach is useful for
integrating tangible and intangible elements in design. Another highlighted its usefulness if
geared towards the building of visions. Other interviewee made a distinction between design
tasks which focus on altering or improving an existing product and those concerned with the
creation of a “new product or innovation”. He pointed out that problem solving is more useful
for the latter than for the former. Diagram 5 shows the reasons underpinning the idea that the problem-solving approach is a
fundamental skill for the design of products according to the interviewees. Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org 20 z & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Diagram 5 Systems thinking is a fundamental skill for the design of services. Do you agree? Elaborate. The interviewees agreed on the importance of systems thinking for designing services. A
generalised conception amongst the interviewees is the usefulness of systems thinking to deal
with complex issues in design services. For example, one of them explains that in dealing with complexity, systems thinking
can be useful to zoom in on specific processes such as customer journeys, to understand
dynamic processes such as service delivery, and to zoom out into wider contextual structures
such as government. Another interviewee values systems thinking as a tool for grasping
complexity, for making multiple things work together and to enable the generation of multiple
interrelated concepts. He also believes that systems thinking enables the systematisation of pilot
services with the purpose of making them grow and work when scaled up. Another interviewee comments on the perceived quality of systems thinking to develop services
for social benefit. He claims that in order to do good for society, “systems thinking is your basic Vol.7, Nr.3, 2014, Art. 5, 1-27 21 www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift toolkit”. In contrast, a further interviewee affirms that systems thinking helps to understand that
the solution is not in an individual artefact, but is the combination of a network of actors coming
together. Diagram 6 illustrates concepts associated with the relevance of systems thinking in
the design of services according to the interviewees. toolkit”. In contrast, a further interviewee affirms that systems thinking helps to understand that
the solution is not in an individual artefact, but is the combination of a network of actors coming
together. Diagram 6 illustrates concepts associated with the relevance of systems thinking in
the design of services according to the interviewees. Diagram 6 Theme 3 - Shift from products to services Amongst the main factors influencing the shift from product to services design are the
increasing development of technology, the emergence of new business models, government
agendas for the development of services, and changes in people’s mainstream thinking and
values. As designers move from product design to services design, there are perceived changes
in the scope of their profession, especially regarding the increasing involvement of users in the
design process and the focus on user behavioural change and innovation in business models and
public services. This possibly suggests that important changes in designers’ thinking are necessary,
related to their ability to understand complex areas such as business and public services. However, as important as the adoption of systems thinking might appear for the satisfaction of
this need, other types of thinking such as business thinking and customer service thinking might
be as important as systems thinking. Diagram 6 Diagram 6 How does problem solving weigh in comparison to systems thinking, when designing products
and when designing services? How does problem solving weigh in comparison to systems thinking, when designing products
and when designing services? The interviewees seem to agree on the value of both problem-solving and systems thinking
approaches for both product and services design. However, some of them believe that one
particular approach is better suited to either product or services design. For example, one of the
interviewees explains how problem solving is more appropriate to product design, while
systems thinking is better for the design of services due to their fuzzy nature and greater size
and complexity. He argues that systems thinking helps the designer of services to “orchestrate”
multiple variables and stakeholders within a service. Other interviewees believe that systems thinking and problem solving can be integrated
to address complex or “wicked” problems in product and service design. Additionally, one of
them explains that both approaches are necessary and not mutually exclusive. Furthermore,
systems thinking serves to sketch the landscape in which problems are identified and solved:
systems thinking overarches problem solving. Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org www.FORMakademisk.org 22 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Another interviewee describes how in services design is possible to use systems thinking
without needing to employ problem solving; for example, to understand a network of mutually
interacting elements. Yet, he explains, as solving a problem in a network brings repercussions
to the whole network, a systems thinking approach allows designers to understand these
repercussions. He summarises this concept by explaining that service design is solving a
problem (using problem-solving thinking) in the context of systems (understood by using
systems thinking). Table 7 summarises when a problem-solving and/or a systems thinking approach is
appropriate in product and service design according to the interviewees. Six different factors
determine the level of appropriateness of each approach, and help to define the weight of each
approach in product design and service design. It is noticeable that in regard to two of these
factors (“integration” and “function of approach”) both problem solving and systems thinking
have similar weight. Table 7 Table 7 23 Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Theme 2 - Design of Services It is apparent that product designers have been able to move into the design of services thanks
mainly to the transferability of their skills, and that this process has been also stimulated by
government and social drive. Systems thinking is recognised as an important skill, but others such as research skills,
collaborative skills, etc. are considered important too. It might be the case that the thinking shift
in service design is not necessarily towards the paradigm of systems thinking, but to another
one and yet to be identified. Discussion Based on the findings from the interviews, it is apparent that the shift from problem-solving
thinking to systems thinking as a consequence of a shift from product to services design is not
as simple as the literature review suggests, and systems thinking appears to be only one of the
aspects of this change in design thinking. To develop this idea, each of the finding themes of
the previous “finding” section will be discussed. Theme 1 - Product vs. services It seems that differences between products and services are related to their dynamicity, scope
width and tangibility. However, product and services seem to be integrateable, as products can
be accompanied by or be part of services, and contingent, as neither one is mutually necessary
for the other’s existence. Designing services is regarded as a more complex activity than designing products. The
design process nature changes for services as its end becomes fuzzy and entangled with the
implementation and running of the service. If there is an identifiable factor related to the difference between products and services
and their design processes which indicates a shift in design thinking, it must be the dynamic
and intangible nature of services, as well as its higher complexity. These differences might be
an indication that a new type of thinking is required by product designers for the design of
services. Theme 4 - Problem solving and systems thinking Theme 4 Problem solving and systems thinking
It is apparent that design thinking changes noticeably from product design to service design,
but regardless of this the focus on the user remains a key consideration in both cases. It seems that systems thinking is not regarded as a very important feature in product design, but
i
i
d
i
it i
i ll b
f it
f l
t d
l
ith
l
it
t d It is apparent that design thinking changes noticeably from product design to service design,
but regardless of this the focus on the user remains a key consideration in both cases. It seems that systems thinking is not regarded as a very important feature in product design, but
in service design it is, especially because of its usefulness to deal with complexity, as suggested
in the literature. In contrast, problem solving is perceived as equally useful in the design of both Vol.7, Nr.3, 2014, Art. 5, 1-27 www.FORMakademisk.org 24 Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift products and services (although it has been suggested that problem solving is sometimes
counterproductive in service design). This may imply that, rather than causing a shift from problem-solving thinking to
systems thinking, the transition from product to service design has produced an “addition”,
bringing systems thinking to the design of services. Actually, in service design, problem solving
and systems thinking are not opposite, competing or mutually exclusive ways of thinking, but
complementary. This research suggests that the need for problem-solving and systems thinking
approaches in design activity is not determined by the desired design output (products and/or
services). Instead, it seems to be individually dictated by the particular and individual design
process adopted by an individual designer in each project undertaken. Their likelihood of being
employed mostly depends on how general (holistic) or specific is the view that the designer
takes at the moment of application, as well as whether the reason for adopting either approach
is geared more towards understanding or resolution. Conclusions This paper has presented the results of a study examining how design activity has changed for
product designers who have become service designers. In particular, it has explored the
adoption of systems thinking as an approach to the design of services, in relation to the problem-
solving approach commonly utilised by product designers. First, it has examined relevant literature, explaining how the problem-solving approach
has become insufficient to deal with the fuzzy nature of the issues designers face nowadays. It
has also explored how product design has shifted to service design, explaining why the systems
thinking approach can be useful to deal with the complex nature of services and how it has been
adopted by service designers. Secondly, it has presented the results of a series of semi-structured interviews with
designers working in five design consultancies that have moved from product design towards
services design. It has reported the interviewees’ views about differences and commonalities
between product design and service design, about their experiences while shifting from product
to service design, and about their design approach in relation to problem solving and systems
thinking approaches. The literature review and the interviews results have been compared, showing that a
change in the way designers think and approach projects has taken place, demonstrating that
the design of products requires a different approach to the design of services. The weight of the evidence seems to indicate that a movement from problem solving to
systems thinking takes place when designers are faced with the challenges of designing a
service. However it seems that the systems thinking approach does not necessarily replace the
problem-solving approach but complements it. The results also indicate that the growing
complexity of the issues designers have to deal with influences the adoption of systems thinking
in response to service design challenges. It also shows that current changes in ideas about
sustainability, society, etc. have also an impact on this. This paper does not claim to be definitive and can be taken only as initial exploration of
the subject. Further study will be needed to establish exactly how the systems thinking approach
is utilised in the design of services, and to examine how it compares with other alternative
design approaches employed in services design. Vol.7, Nr.3, 2014, Art. Conclusions 5, 1-27 25 www.FORMakademisk.org www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Liliana Rodriguez
PhD student
Loughborough Design School, Loughborough University
Email address: lulugaia01@yahoo.co.uk Liliana Rodriguez
PhD student
Loughborough Design School, Loughborough University
Email address: lulugaia01@yahoo.co.uk Carlos Peralta
Senior Lecturer in Design. School of Art, Design and Media, University of Brighton
Email address: purplecamaleon@yahoo.co.uk Vol.7, Nr.3, 2014, Art. 5, 1-27 26 www.FORMakademisk.org Liliana Rodriguez & Carlos Peralta From Product to Service Design: A Thinking Paradigm Shift Bibliography Buchanan, R. (2001). Design Research and the New Learning. Design Issues, 17(4), pp. 3-23. Burns, C., Cottam, H., Vanstone, C. & Winhall, J. (2006). Transformation Design. Red Paper 02, London: Design
Council. Clatworthy, S. (2011). Interaction Design: Services as a Series of Interactions. In: This is Service Design Thinking. Amsterdam: BIS, pp. 80-87. Cross, N. (1990). The Nature and Nurture of Design Ability. Design Studies, pp. 127-140. Dorst, K. & Dijkhuis, J. (1995). Comparing paradigms for describing design activity. Design Studies, pp. 261-274. Gloppen, J. (2009). Service Design Leadership. Linköping, Sweden: Linköping University Electronic Press, pp. 77-92. Hugentobler, H. K., Jonas, W. & Rahe, D. (2004). Designing a Methods Platform for Design and Design Research. Melbourne: DRS, pp. 1-13. Johansson-Skoldberg, U., Woodilla, J. & Cetinkaya, M. (2013). Design Thinking: Past, Present and Possible
Futures. Creativity and Innovation Management, 22(2), pp. 121-146. Jonas, W. (1996). Systems thinking in Industrial Design. Cambridge, Massachussetts: ICSDS, pp. 241-244. Kimbell, L. (2011). Designing for Service as One Way of Designing Services. International Journal of Design,
5(2), pp. 41-52. Kwon, O. & van Boeijen, A. (2012). Co-designing an SMS Service for London’s Homeless People. Linköping:
Sweden Linköping University Electronic Press, pp. 133-145. Lawson, B. & Dorst, K. (2009). Design Expertise. 1st ed. Oxford: Elsevier. Love, T. (2003). A Fork in the Road: Systems and Design. Melbourne Monix. Maani, K. E. & Maharaj, V. (2001). Systemic Thinking and Complex Problem Solving. A Theory Building
Empirical Study. Atlanta, Systems Dynamics Society. Miettinen, S. (2011). Product Design: Developing Products with Services Applications. In: This is service design
thinking: Basics, tools, cases. Amsterdam: BIS, pp. 56-67. Morelli, N. (2006). Design in New Industrial Contexts: Shifting Design Paradigms and Methodologies. Bremen,
6th EAD Conference. Nelson, H. & Stolterman, E. (2012). The Design Way. Intentional Change in an Unpredictable World. Cambridge,
Massachussetts: MIT Press. Nielsen, K. A. & Nielsen, J. A. (2009). Systems Thinking – Understanding Services as a System. Linköping:
Linköping University Electronic Press, pp. 1-6. Payne, G. & Williams, M. (2005). Generalization in qualitative research. Sociology, 39(2), pp. 295-314. Polaine, A., Lovlie, L. & Reason, B. (2013). Service Design. From Insight to Implementation. New York: Louis
Rosenfeld. Rodriguez, L. (2010). Product Design XXI: A Refreshing Panorama. Available at:
https://www.academia.edu/1156596/Product_Design_XXI_century_A_refreshing_landscape._Diseno_d
e_Producto_Siglo_XXI_Un_panorama_refrescante
[Accessed 19 11 2013]. Rogers, J., Duplok, P. & Towson, D. (2005). In Bed with Electronics. Edinburgh, Taylor & Francis. Taura, T. & Nagai, Y. (2011). Bibliography New definition of design and creativity: Beyond the problem-solving paradigm. London: Springer, pp. 3-8. Vargo, S. L. & Lusch, R. F. (2008). Service-dominant Logic: Continuing the Evolution. Journal of the Academy
of Marketing Science, pp. 1-10. Wild, P. (2009). Review of Service Design Definitions, Cambridge: University of Cambridge. Young, R. (2008). A perspective on design theory and service design practice. In: Designing for Services -
Multidisciplinary Perspectives. Oxford: University of Oxford, pp. 43-44. Vol.7, Nr.3, 2014, Art. 5, 1-27 27 www.FORMakademisk.org
|
https://openalex.org/W4287111926
|
https://iris.unica.it/bitstream/11584/320237/1/journal.pcbi.1009045.pdf
|
English
| null |
Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep
|
Zenodo (CERN European Organization for Nuclear Research)
| 2,021
|
cc-by
| 18,353
|
OPEN ACCESS Citation: Golosio B, De Luca C, Capone C,
Pastorelli E, Stegel G, Tiddia G, et al. (2021)
Thalamo-cortical spiking model of incremental
learning combining perception, context and NREM-
sleep. PLoS Comput Biol 17(6): e1009045. https://
doi.org/10.1371/journal.pcbi.1009045 Citation: Golosio B, De Luca C, Capone C,
Pastorelli E, Stegel G, Tiddia G, et al. (2021)
Thalamo-cortical spiking model of incremental
learning combining perception, context and NREM-
sleep. PLoS Comput Biol 17(6): e1009045. https://
doi.org/10.1371/journal.pcbi.1009045 Editor: Maxim Bazhenov, University of California
San Diego, UNITED STATES
Received: April 27, 2020
Accepted: May 5, 2021
Published: June 28, 2021 Editor: Maxim Bazhenov, University of California
San Diego, UNITED STATES Editor: Maxim Bazhenov, University of California
San Diego, UNITED STATES Peer Review History: PLOS recognizes the
benefits of transparency in the peer review
process; therefore, we enable the publication of
all of the content of peer review and author
responses alongside final, published articles. The
editorial history of this article is available here:
https://doi.org/10.1371/journal.pcbi.1009045 Thalamo-cortical spiking model of
incremental learning combining perception,
context and NREM-sleep Bruno GolosioID1,2☯, Chiara De LucaID3,4☯*, Cristiano CaponeID4, Elena PastorelliID3,4,
Giovanni StegelID5, Gianmarco TiddiaID1,2, Giulia De BonisID4, Pier Stanislao PaolucciID4 Bruno GolosioID1,2☯, Chiara De LucaID3,4☯*, Cristiano CaponeID4, Elena PastorelliID3,4,
Giovanni StegelID5, Gianmarco TiddiaID1,2, Giulia De BonisID4, Pier Stanislao PaolucciID4
1 Dipartimento di Fisica, Università di Cagliari, Cagliari, Italy, 2 Istituto Nazionale di Fisica Nucleare (INFN),
Sezione di Cagliari, Cagliari, Italy, 3 Ph.D. Program in Behavioural Neuroscience, “Sapienza” Università di
Roma, Rome, Italy, 4 Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Roma, Rome, Italy,
5 Dipartimento di Chimica e Farmacia, Università di Sassari, Sassari, Italy 1 Dipartimento di Fisica, Università di Cagliari, Cagliari, Italy, 2 Istituto Nazionale di Fisica Nucleare (INFN),
Sezione di Cagliari, Cagliari, Italy, 3 Ph.D. Program in Behavioural Neuroscience, “Sapienza” Università di
Roma, Rome, Italy, 4 Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Roma, Rome, Italy,
5 Dipartimento di Chimica e Farmacia, Università di Sassari, Sassari, Italy a1111111111
a1111111111
a1111111111
a1111111111
a1111111111 a1111111111
a1111111111
a1111111111
a1111111111
a1111111111 ☯These authors contributed equally to this work. * Chiara.DeLuca@roma1.infn.it Abstract The brain exhibits capabilities of fast incremental learning from few noisy examples, as well
as the ability to associate similar memories in autonomously-created categories and to com-
bine contextual hints with sensory perceptions. Together with sleep, these mechanisms are
thought to be key components of many high-level cognitive functions. Yet, little is known
about the underlying processes and the specific roles of different brain states. In this work,
we exploited the combination of context and perception in a thalamo-cortical model based
on a soft winner-take-all circuit of excitatory and inhibitory spiking neurons. After calibrating
this model to express awake and deep-sleep states with features comparable with biological
measures, we demonstrate the model capability of fast incremental learning from few exam-
ples, its resilience when proposed with noisy perceptions and contextual signals, and an
improvement in visual classification after sleep due to induced synaptic homeostasis and
association of similar memories. Citation: Golosio B, De Luca C, Capone C,
Pastorelli E, Stegel G, Tiddia G, et al. (2021)
Thalamo-cortical spiking model of incremental
learning combining perception, context and NREM-
sleep. PLoS Comput Biol 17(6): e1009045. https://
doi.org/10.1371/journal.pcbi.1009045 1 Introduction Increasing experimental evidence is mounting for both the role played by the combination of
bottom-up (perceptual) and top-down/lateral (contextual) signals [1] and for the beneficial
effects of sleep as key components of many high-level cognitive functions in the brain. In the
following, we give an overview of some aspects, driven from experimental observations, that
we have taken as fundamental building blocks for the construction of the model we present. g
p
It is known that the cortex follows a hierarchical structure [2]; starting from this, Larkum
et al. [1] propose an associative mechanism built-in at a cellular level into the pyramidal neu-
ron (see Fig 1B), exploiting the cortical architectural organization (see Fig 1C). Long-range
connectivity in the cortex follows the basic rule that sensory input (i.e., the feed-forward
stream) terminates in the middle cortical layers, whereas information from other parts of the
cortex (i.e., the feedback stream) mainly projects to the outer layers. This also applies to projec-
tions from the thalamus, a structure that serves as both a gateway for feed-forward sensory
information to the cortex and a hub for feedback interactions between cortical regions. Indeed,
only 10% of the synaptic feedback inputs to the apical tuft come from nearby neurons, and the
missing 90% arise from long-range feedback connections. This feedback information stream is
vitally important for cognition and conscious perception: this picture leads to the suggestion
that the cortex operates via an interaction between feed-forward and feedback information. Larkum et al. [1] highlight that, counter-intuitively, distal feedback input to the tuft dendrite
could dominate the input/output function of the cell: short high-frequency bursts would be
produced on a combination of distal and basal input. As a consequence, although small
(under-threshold) signals contribute only to their respective spike initiation zones, the fact
that input has reached the threshold in one zone is quickly signalled to other zones. This pro-
vides the possibility for a contextual prediction: the activity in the apical tuft of the cell can
lower the activity threshold driven by the basal region, the target of the specific nuclei in the
thalamus that projects there the perceptual and feed-forward streams. In summary, this mech-
anism is ideally suited to associating feed-forward and feedback cortical pathways. Thus, they
propose a conceptual interpretation of these biological pieces of evidence: the feedback signal
aims at predicting whether a particular pyramidal neuron could or should be firing. PLOS COMPUTATIONAL BIOLOGY PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles Funding: This work has been supported by the
European Union Horizon 2020 Research and
Innovation program under the FET Flagship Human
Brain Project (grant agreement SGA3 n. 945539
and grant agreement SGA2 n. 785907; recipient
Pier Stanislao Paolucci) and by the INFN APE
Parallel/Distributed Computing laboratory. The
funders had no role in study design, data collection
and analysis, decision to publish, or preparation of
the manuscript. fights noise in perceptual and internal knowledge and it supports the categorical associa-
tion of examples belonging to the same digit class, through reinforcement of class-specific
cortico-cortical synapses. The distributions of pre-sleep and post-sleep firing rates during
classification change in a manner similar to those of experimental observation. These
changes promote energetic efficiency during recall of memories, better representation of
individual memories and categories and higher classification performances. Competing interests: The authors have declared
that no competing interests exist. Author summary We created a thalamo-cortical spiking model (ThaCo) with the purpose of demonstrating
a link among two phenomena that we believe to be essential for the brain capability of effi-
cient incremental learning from few examples in noisy environments. Grounded in two
experimental observations—the first about the effects of deep-sleep on pre- and post-sleep
firing rate distributions, the second about the combination of perceptual and contextual
information in pyramidal neurons—our model joins these two ingredients. ThaCo alter-
nates phases of incremental learning, classification and deep-sleep. Memories of hand-
written digit examples are learned through thalamo-cortical and cortico-cortical plastic
synapses. In absence of noise, the combination of contextual information with perception
enables fast incremental learning. Deep-sleep becomes crucial when noisy inputs are con-
sidered. We observed in ThaCo both homeostatic and associative processes: deep-sleep Copyright: © 2021 Golosio et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited. Data Availability Statement: The model and data
used to draw the results outlined in this manuscript
are available at https://github.com/APE-group/
ThaCo2.git and 10.5281/zenodo.4769175. 1 / 26 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 1 Introduction Moreover,
any neuron can fire only if it receives enough feed-forward input. Resulting from this interpre-
tation, the internal representation of the world by the brain can be matched at every level with
ongoing external evidence via a cellular mechanism, allowing the cortex to perform the same
operation with massively parallel processing power. Soft Winner-Take-All (WTA) plays an important role in many high-level cognitive func-
tions such as decision making [3–5] classification and pattern recognition [6, 7]. Under a
rough simplification, this mechanism can be realized through the competition among groups
of excitatory neurons connected towards the same population of inhibitory neurons, which in
turn is connected towards the excitatory groups it arbitrates [8–11]. Within appropriate condi-
tions, the inhibitory signal will be sufficiently high to suppress the signal of all the low-firing PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 2 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles Fig 1. Thalamo-cortical spiking model (ThaCo). Panels B and C to compare the architecture of our model with the biological principles described in [1]. A) Scheme
of the Thalamo-cortical spiking model (ThaCo). Input images, passed through a filter (HOG) are projected (blue arrow) to thalamic excitatory neurons (tc), mimicking
the mechanism of the retinal visual stimulus. Thalamic neurons stimulate cortical excitatory neurons (cx) with a perceptual feedforward excitation (blue). Cortico-
cortical and cortico-thalamic are considered as top-down prediction connections (red). (Red arrows—context/prediction) Currents coding for higher abstraction
features incoming from other cortical areas. Cortical inhibitory neurons (in) arbitrate competition among cortical groups in a soft Winner-Take-All mechanism
(WTA). Inhibitory reticular neurons (re) control the thalamic firing rate. The cortical layer is in turn connected to readout neurons (ro) B) A cellular mechanism for
associating feed-forward and feedback signals. Low-level features are encoded in primary sensory regions and this signal propagates up the visual hierarchy (e.g. striate
cortex (V1) sensitive to orientation, V4 sensitive to colour, V5 sensitive to motion, and inferior temporal (IT) cortex sensitive to shapes and objects). Higher-level areas
provide feedback information (context or expectation) to lower areas. The ThaCo model presented in this paper is a single area model and the contextual signal is
assumed to collect during training the knowledge carried by all other areas in the hierarchy (see red arrows in panel A). 1 Introduction C) Conceptual representation of the back-
propagation activated calcium (BAC) firing hypothesis supporting efficient binding of features and recognition. Pyramidal neurons receiving predominantly feed-
forward information are likely to fire steadily at low rates, whereas the simultaneous presence of contextual and perceptual streams changes the mode of firing to bursts
(BAC firing). This coincidence mechanism is mimicked in our ThaCo model. D) During training (left), the injection of contextual signal, plays the role of internal
prediction and increases the perceptual threshold of a subset of cortical neurons. The simultaneous presence of perceptual and contextual promotes a high firing rate in
h
i
i ki
h BAC
h
i
Al
h
i
l
f h
i
l f
h
i
l l
d f h
l i
l
hi h Fig 1 Thalamo-cortical spiking model (ThaCo) Panels B and C to compare the architecture of our model with the biological principles described in [1] A) Scheme Fig 1. Thalamo-cortical spiking model (ThaCo). Panels B and C to compare the architecture of our model with the biological principles described in [1]. A) Scheme
of the Thalamo-cortical spiking model (ThaCo). Input images, passed through a filter (HOG) are projected (blue arrow) to thalamic excitatory neurons (tc), mimicking
the mechanism of the retinal visual stimulus. Thalamic neurons stimulate cortical excitatory neurons (cx) with a perceptual feedforward excitation (blue). Cortico-
cortical and cortico-thalamic are considered as top-down prediction connections (red). (Red arrows—context/prediction) Currents coding for higher abstraction
features incoming from other cortical areas. Cortical inhibitory neurons (in) arbitrate competition among cortical groups in a soft Winner-Take-All mechanism
(WTA). Inhibitory reticular neurons (re) control the thalamic firing rate. The cortical layer is in turn connected to readout neurons (ro) B) A cellular mechanism for
associating feed-forward and feedback signals. Low-level features are encoded in primary sensory regions and this signal propagates up the visual hierarchy (e.g. striate
cortex (V1) sensitive to orientation, V4 sensitive to colour, V5 sensitive to motion, and inferior temporal (IT) cortex sensitive to shapes and objects). Higher-level areas
provide feedback information (context or expectation) to lower areas. The ThaCo model presented in this paper is a single area model and the contextual signal is
assumed to collect during training the knowledge carried by all other areas in the hierarchy (see red arrows in panel A). 1 Introduction C) Conceptual representation of the back-
propagation activated calcium (BAC) firing hypothesis supporting efficient binding of features and recognition. Pyramidal neurons receiving predominantly feed-
forward information are likely to fire steadily at low rates, whereas the simultaneous presence of contextual and perceptual streams changes the mode of firing to bursts
(BAC firing). This coincidence mechanism is mimicked in our ThaCo model. D) During training (left), the injection of contextual signal, plays the role of internal
prediction and increases the perceptual threshold of a subset of cortical neurons. The simultaneous presence of perceptual and contextual promotes a high firing rate in
such neurons, mimicking the BAC mechanism. Also, the simulataneous presence of the signal from the cortical layer and of the contextual signal promotes a high Fig 1. Thalamo-cortical spiking model (ThaCo). Panels B and C to compare the architecture of our model with the biological principles described in [1]. A) Scheme
of the Thalamo-cortical spiking model (ThaCo). Input images, passed through a filter (HOG) are projected (blue arrow) to thalamic excitatory neurons (tc), mimicking
the mechanism of the retinal visual stimulus. Thalamic neurons stimulate cortical excitatory neurons (cx) with a perceptual feedforward excitation (blue). Cortico-
cortical and cortico-thalamic are considered as top-down prediction connections (red). (Red arrows—context/prediction) Currents coding for higher abstraction
features incoming from other cortical areas. Cortical inhibitory neurons (in) arbitrate competition among cortical groups in a soft Winner-Take-All mechanism
(WTA). Inhibitory reticular neurons (re) control the thalamic firing rate. The cortical layer is in turn connected to readout neurons (ro) B) A cellular mechanism for
associating feed-forward and feedback signals. Low-level features are encoded in primary sensory regions and this signal propagates up the visual hierarchy (e.g. striate
cortex (V1) sensitive to orientation, V4 sensitive to colour, V5 sensitive to motion, and inferior temporal (IT) cortex sensitive to shapes and objects). Higher-level areas
provide feedback information (context or expectation) to lower areas. The ThaCo model presented in this paper is a single area model and the contextual signal is
assumed to collect during training the knowledge carried by all other areas in the hierarchy (see red arrows in panel A). C) Conceptual representation of the back-
propagation activated calcium (BAC) firing hypothesis supporting efficient binding of features and recognition. 1 Introduction Pyramidal neurons receiving predominantly feed-
forward information are likely to fire steadily at low rates, whereas the simultaneous presence of contextual and perceptual streams changes the mode of firing to bursts
(BAC firing). This coincidence mechanism is mimicked in our ThaCo model. D) During training (left), the injection of contextual signal, plays the role of internal
prediction and increases the perceptual threshold of a subset of cortical neurons. The simultaneous presence of perceptual and contextual promotes a high firing rate in
such neurons, mimicking the BAC mechanism. Also, the simulataneous presence of the signal from the cortical layer and of the contextual signal promotes a high PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 3 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles firing rate in readout neurons. In the classification phase (centre) the contextual signal is turned off. In the sleeping phase (right), the sensory pathways are turned off,
and all the activity is generated spontaneously. https://doi.org/10.1371/journal.pcbi.1009045.g001 firing rate in readout neurons. In the classification phase (centre) the contextual signal is turned off. In the sleeping phase (right), the sensory pathways are turned off,
and all the activity is generated spontaneously. https://doi.org/10.1371/journal.pcbi.1009045.g001 https://doi.org/10.1371/journal.pcbi.1009045.g001 https://doi.org/10.1371/journal.pcbi.1009045.g001 https://doi.org/10.1371/journal.pcbi.1009045.g001 excitatory groups of neurons whereas the high-firing ones survive. Such conditions can be
achieved thanks to synaptic plasticity, which strengthens the connections among neurons of
the same group and weakens those among competing groups, coupled with homeostatic mech-
anisms [12, 13]. Spike-timing-dependent plasticity (STDP) has been proposed as one of the essential learn-
ing ingredients in the cortex [14–18]. According to this plasticity rule, if the postsynaptic neu-
ron fires an action potential just after a presynaptic spike, the synaptic weight will increase,
whereas in the opposite case it will decrease. Through this mechanism, the synapses connect-
ing neurons correlated by a principle of causality are metabolically rewarded. Chen et al. [19]
have shown that networks of excitatory and inhibitory spiking neurons with either STDP or
short-term plasticity can generate dynamically-stable WTA behaviour under certain condi-
tions on initial synaptic weights. Another key aspect that we consider in this study is the role of sleep during learning. Sleep
is essential in all animal species, and it is believed to play a crucial role in memory consolida-
tion [20, 21], in the creation of novel associations, as well as in the preparation of tasks
expected during the next awake periods. 1 Introduction Indeed, young humans pass the majority of time
sleeping, and the youngest are the subjects that have to learn at faster rates. In adults, sleep
deprivation is detrimental for cognition [22] and it is one of the worst tortures that can be
inflicted. Among the multiple effects of sleep on the brain and body, we focus here on the con-
solidation of learned information [23]. Homeostatic processes could normalize the representa-
tion of memories and optimize the energetic working point of the system by recalibrating
synaptic weights [24] and firing rates [25]. Specifically, Watson et al. [25] show that fast-firing
pyramidal neurons decrease their firing rates over sleep, whereas slow-firing neurons increase
their rates, resulting in a narrower population firing rate distribution after sleep. Also, sleep
should be able to select memories for association, promoting higher performance during the
next awake phases [26]. Indeed, Capone et al. [27] demonstrate the beneficial effects of sleep-
wake phases involving homeostatic and associative processes in a visual classification task. Indeed, in [27], some of us illustrated how to assemble a simplified thalamo-cortical spiking
model that can both express deep-sleep-like oscillations (in the form of an emergent, self-
induced network phenomenon) and enter an awake-like asynchronous regime. This dynam-
ical behaviour has been obtained by changing a few parameters in the equation that describes
the dynamics of excitatory neurons in the spiking model, and thus exploiting a well established
modelling principle that represents a few prominent features of brain-state acetylcholine-
mediated neuromodulation, able to induce in the model the transition between awake-like
asynchronous and deep-sleep-like oscillatory regimes [28]. However, this neuromodulation
modelling principle has neither been previously applied to the study of the deep-sleep cogni-
tive effects nor to simulations of learning-sleep cycles (such as in our previous work [27] and
in this study). Specifically, the spiking model we propose is trained on a set of training patterns
(here, on images of handwritten digits) and then exposed to never-seen examples to be classi-
fied (here, among human-assigned digit classes). Also, the model structure proposed in [27]
and adopted in this work, is able to perform an asynchronous awake-like state of the network,
by acting on the neural dynamics parameters. When the prescribed changes in the neural
parameters induce the network to express deep-sleep-like oscillations, STDP is observed to
produce in the model the spontaneous emergence of a differential homeostatic process. 1 Introduction First, a
down-regulation emerges of the stronger synapses created by the STDP during the training, Another key aspect that we consider in this study is the role of sleep during learning. Sleep
is essential in all animal species, and it is believed to play a crucial role in memory consolida-
tion [20, 21], in the creation of novel associations, as well as in the preparation of tasks
expected during the next awake periods. Indeed, young humans pass the majority of time
sleeping, and the youngest are the subjects that have to learn at faster rates. In adults, sleep
deprivation is detrimental for cognition [22] and it is one of the worst tortures that can be
inflicted. Among the multiple effects of sleep on the brain and body, we focus here on the con-
solidation of learned information [23]. Homeostatic processes could normalize the representa-
tion of memories and optimize the energetic working point of the system by recalibrating
synaptic weights [24] and firing rates [25]. Specifically, Watson et al. [25] show that fast-firing
pyramidal neurons decrease their firing rates over sleep, whereas slow-firing neurons increase
their rates, resulting in a narrower population firing rate distribution after sleep. Also, sleep
should be able to select memories for association, promoting higher performance during the
next awake phases [26]. Indeed, Capone et al. [27] demonstrate the beneficial effects of sleep-
wake phases involving homeostatic and associative processes in a visual classification task. PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 4 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles those synapses that connect the best-tuned neurons during the training phase on each training
example. At the same time, we observe that STDP increases the strength of synapses among
neurons tuned on patterns belonging to the same class. Such hierarchical, spontaneous reorga-
nization promotes better post-sleep classification performances. In short, the underlying
mechanism is based on the similarity among thalamic coding of training examples belonging
to the same class. During deep-sleep oscillations, such similarity supports the preferential acti-
vation of thalamo-cortico-thalamic connection paths among neural groups tuned to training
examples belonging to the same class, and the consequent coactivation and unsupervised
strengthening of class-specific synapses. This point has been illustrated in [27]. Combining the above-described set of cortical principles, we aimed at creating a simplified,
yet biologically-plausible, thalamo-cortical spiking model (ThaCo, see Fig 1A). 1 Introduction ThaCo exploits
the combination of contextual and perceptual signals to construct a soft Winner-Take-All
mechanism (WTA) capable of fast learning from few examples [29] in a synaptic matrix
shaped by spike-timing-dependent plasticity (STDP). ThaCo has been calibrated to express
deep-sleep-like activity and to induce modifications to the distributions of pre- and post-sleep
firing rates comparable to biological measures like those carried out by Watson et al. [25] for
an investigation of the deep-sleep effects on learning and classification (another beneficial
aspect, the recovery and restoration of bio-chemical optimality, is not considered at this level
of abstraction). In the context of machine learning, a distinction is made between instance-
incremental methods, which learn from each training example as it arrives, and batch-incre-
mental methods, in which the training data are organized in groups of examples, called
batches, and the model is trained only on complete batches [30]. Depending on how different
classes are represented by the examples in the batches, there are three training schemes [31]:
new instances (NI), in which each new batch contains different instances of the same classes
represented in previous batches, new classes (NC) in which examples belonging to novel clas-
ses become available in subsequent batches, and new instances and classes (NIC) in which sub-
sequent training batches contain examples from both known and new classes. However, it
should be noted that when it is necessary to constantly evaluate the performance of incremen-
tal learning, for reasons of computational efficiency the training set is divided into batches
even for models capable of instance-incremental learning. Shimizu et al. [32] propose a train-
ing method based on balanced mini-batches, which reduces the effect of imbalanced data in
supervised training. Our work is focused on instance incremental learning, and the training
scheme is based on balanced mini-batches. Specifically, with ThaCo we investigated several
brain aspects and learning capabilities: 1- incremental learning from few examples; 2- resil-
ience to noise when trained over degraded-quality examples and asked to classify corrupted
images; 3- comparison with the performances of knn algorithms; 4- the ability to fight noise
in the contextual signal thanks to the introduction of a biologically-plausible deep-sleep-like
state, inducing beneficial homeostatic and associative synaptic effects. 2 Results In this work we test the capability of the implemented thalamo-cortical network model
(ThaCo) of expressing incremental learning when trained to learn and recall images (from the
MNIST dataset), and we investigated the role and the mechanisms of the occurrence of biolog-
ical-like deep-sleep dynamics. First, we present a comparison of the ThaCo model behaviour
with the biological observations made by Watson et al. [25] on the changes of firing rate distri-
butions in awake, sleep and post-sleep phases (see Fig 2). Indeed, since one of the goals of this
work is to implement a biologically-plausible model capable to display different “cognitive
states”, the comparison with experimental outcomes is important to question its plausibility. 5 / 26 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 Fig 2. Sleep-like features. A) State-wise differences of average firing rate, to be compared with Fig 2A by Watson et al. [25]. Cumulative
distribution of the firing rates of individual cortical neurons (log scale); note the brain-state dependent differences (colour). Vertical lines separate
neurons sorted by AWAKE firing rates into six subgroups (sextiles) with an equal number of elements. B) Firing rate changes across sleep in each
of the six groups defined by the awake firing rates, to be compared with Fig 3B by Watson et al. [25]. High firing rate neurons show decreasing
activity; low firing rate neurons do not increase their activity over sleep. C) Opposite modulation of neurons of different firing rates, to be
UTATIONAL BIOLOGY
Thalamo-cortical spiking model of incremental learning/sleep cycles
nal Biology | https://doi org/10 1371/journal pcbi 1009045
June 28 2021
6 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles Fig 2. Sleep-like features. A) State-wise differences of average firing rate, to be compared with Fig 2A by Watson et al. [25]. Cumulative
distribution of the firing rates of individual cortical neurons (log scale); note the brain-state dependent differences (colour). Vertical lines separate
neurons sorted by AWAKE firing rates into six subgroups (sextiles) with an equal number of elements. B) Firing rate changes across sleep in each
of the six groups defined by the awake firing rates, to be compared with Fig 3B by Watson et al. [25]. High firing rate neurons show decreasing
activity; low firing rate neurons do not increase their activity over sleep. 2 Results C) Opposite modulation of neurons of different firing rates, to be PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 6 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles compared with Fig 3D by Watson et al. in [25]. Comparison of individual neuron firing rates during the first and last packet of sleep. The
regression line is significantly different from unity, showing that high and low firing rate neurons are oppositely modulated over sleep. D) Cortical
neuron population mean firing rate changes across sleep, to be compared with Fig 3B by Watson et al. in [25]. E) Awake firing rate distribution of
cortical neurons pre-sleep (upper plot) and plot-sleep (lower plot). Solid lines depict descriptive statistics parameters: Q1, 25% quartile; Q2, 50%
quartile (median); Q3, 75% quartile. Middle plot: boxplots of the distributions. The central mark indicates the median, and the bottom and top
edges of the box indicate the 25th and 75th percentiles, respectively. https://doi.org/10.1371/journal.pcbi.1009045.g002 https://doi.org/10.1371/journal.pcbi.1009045.g002 After the validation obtained against experimental results, we demonstrate the capability of the
model to learn incrementally, i.e. to continuously extend its knowledge by learning from new
training examples while retaining most of the previously acquired memories. The learning
ability of the model was assessed using an approach that alternates incremental training with
tests meant to evaluate the pre-sleep and post-sleep classification performance. During the
training phase, samples are randomly extracted from the training set of the MNIST database;
they are given in input to the system together with example-specific contextual signals that
reach the cortical neurons, and a digit-class-specific contextual signal that reaches only the
read-out neurons. Notably, to stress out the difference with respect to the training phase, dur-
ing the classification phase no contextual signal is transmitted: the response of the network is
recorded, based on the firing rates of the excitatory neurons of the cortex. It should be empha-
sized that the proposed model is not an engineering solution to the problem of incremental
learning in pattern classification, but a simplified model of the low-level processes that sup-
ports and emulates the ability to learn incrementally in the biological brain. Indeed, the size of
the training set is relatively small compared to those often used in machine learning, and some
issues that are of primary importance for both artificial and biological incremental learning,
such as catastrophic forgetting, go beyond the aims of this paper. 2 Results Then, We measure the
model incremental classification performance and we compare it to that expressed by the
K-Nearest neighbour family of artificial incremental learning algorithms (specifically Knn-1,
Knn-3, Knn-5). Knn is an extensively used classification algorithm, which has been succesfully
applied to a wide range of problems in different fields. Furthermore, unlike many other classi-
fication systems used in machine learning, the Knn family is suitable for incremental learning
and also it works relatively well even with few training examples and, for large enough training
sets, the Knn algorithm is guaranteed to yield an error rate no worse than twice the Bayes error
rate, which is the minimum achievable given the distribution of the data [33]. For these rea-
sons, the Knn classifier has been chosen as reference for the evaluation of the classification
ability of the proposed system. We show that—even without the beneficial contribution of
sleep—this model shows higher resilience to noisy inputs than Knn. Finally, we demonstrate
the beneficial effects of deep-sleep-like cortical slow oscillations on the post-sleep classification
accuracy of MNIST characters when a noisy contextual signal is injected during the awake
training (a situation that could be interpreted both as the case of different levels of prior
knowledge about the correct classification label of the current example during the training,
and as related to the largely stochastic nature of cortical organisation and of the activity of
other cortical areas). 2.1 ThaCo model pre- and post-sleep firing rates and comparison with the
experiments We compare the network behaviour of the ThaCo model during three simulated phases (pre-
sleep awake-like, deep-sleep-like and post-sleep awake-like, see Fig 2) with those observed in
rats by Watson et al. in [25]. When approaching the design of the ThaCo spiking model, an
improvement of what some of us presented in [27], we relied on the well-established frame-
work of Mean-Field theories [34], [35] to construct a network capable of spontaneously 7 / 26 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles displaying two different dynamical regimes. This is obtained by acting on some parameters of
the excitatory neurons (specifically, the spike frequency adaptation (SFA) and the excitatory
synaptic conductance), to model acetylcholine-mediated neuromodulation on neural dynam-
ics that supports the transitions between awake-like asynchronous activity and deep-sleep-like
slow oscillations [28]. Specifically, in Fig 3A we show the incoming current to each cortical
neuron versus its adaptation current during different network stages (pre- and post-sleep clas-
sification, beginning and end of the sleeping phase). In particular, sleep states are characterized
by high levels of spike frequency adaptation currents (obtained through a modulation of the
SFA parameter), inducing oscillations. Moreover, late sleep and after-sleep classification have
low levels of input currents, due to a sleep-mediated synaptic depression leading to a reduction
in the current circulating in the network. When set in the deep-sleep state, a non-specific stim-
ulus, administered at a low steady firing rate to cortical neurons, is sufficient to elicit the emer-
gence of cortically-generated Up-states and of thalamo-cortical Slow Oscillations (SO). As
shown in top lines of Fig 3B and 3C, in the SO regime, the thalamo-cortical spiking network
displays a firing rate oscillation frequency between 0.25Hz and 1.0Hz and durations of Up-
states (a few hundreds of ms) comparable with experimental observations in deep-sleep
recordings. During the initial stages of SO, Up-states are independently sustained by neuron
populations tuned to specific images memorized during the training phase, and tend to reacti-
vate thalamic neuron coding for the memorized images. Then, thanks to the similarity among
training instances, the recruitment of other neural groups in the cortex is promoted. This cre-
ates preferential cortico-talamo-cortical excitatory pathways, inducing an STDP-mediated
association of cortical neurons previously tuned to training instances that expressed similar
thalamic representation (see Fig 3B and 3C). 2.1 ThaCo model pre- and post-sleep firing rates and comparison with the
experiments Sleep-like activity, on the other hand, affects
the network status during the following awake classification phase 4: the effect of STDP during sleep is a general reduction and homogenization of input
current distribution, as shown in a comparison between the pre-sleep stage 1 and post-sleep stage 4 in the diagram. B and C) Spiking cortical and thalamic
activity produced during training (10 examples, one per digit class), classification (20 images) and sleeping phase for two consecutive sets respectively. First
row: mean firing rate of the cortical neurons trained over a set of 10 examples (each set is used to independently train 200 cortical neurons, 20 per digit
example); during the sleeping phase, the slow oscillation frequency trend in time is also depicted. Second row: raster plot of the first 400 cortical neurons. Third row: mean firing rates of thalamic neurons. Once recruited in the training phases, the cortical neurons participate in classification and sleeping phases. https://doi.org/10.1371/journal.pcbi.1009045.g003 Fig 3. Incremental learning with alternation of awake training and sleep in ThaCo. A) Dots: incoming current to each cortical neuron versus its
adaptation current during different network stages of the activity presented in B. Pre-sleep classification phase (represented in blue, number 1), early sleep-
like phase (in red, number 2), late sleep-like phase (in orange, number 3) and post-sleep classification phase (in green, number 4). Ellipses: Areas in the plot
associated with different network stages, estimated from data through a Gaussian Mixture Model with a full covariance matrix. During sleep, the total input
current to the cortical neurons decreases due to the sleep-induced homeostatic effect, that reduces recurrent connections weights in the cortical layer (see the
transition from number 2 to number 3 in the diagram), notwithstanding the constant external aspecific stimulus. Sleep-like activity, on the other hand, affects
the network status during the following awake classification phase 4: the effect of STDP during sleep is a general reduction and homogenization of input
current distribution, as shown in a comparison between the pre-sleep stage 1 and post-sleep stage 4 in the diagram. B and C) Spiking cortical and thalamic
activity produced during training (10 examples, one per digit class), classification (20 images) and sleeping phase for two consecutive sets respectively. 2.1 ThaCo model pre- and post-sleep firing rates and comparison with the
experiments We name top-down prediction such cortico-tha-
lamic activation that spontaneously occurs during SO. During the sleep period, thanks to cor-
tico-cortical plasticity, the coactivation of neurons originally tuned to training instances of the
same class becomes a typical feature of each Up-state: the WTA mechanism cooperates in
selecting different neuron codings for different classes during each Up-State. Another key
aspect is the generalized homeostatic depression, which is known to happen during deep-sleep
and serves as a protection, to prevent Up-state-mediated associations that could drive towards
a fully associated network. This effect is modelled thanks to the Non-Linear Temporal Asym-
metric Hebbian (NLTAH) learning rule of the STDP we used [36], which reduces the strength
among the most frequently coactivated neurons, leading to a progressive reduction of mean
firing rates and frequency of the Up-States (see Fig 3B and 3C, top rows) which is consistent
with experimental observations, in particular for what concerns the decrease of SO frequency
during the night course [37]. The first noteworthy result presented in this paper is that this
new calibration of the model greatly enhances the match with experimental data, as detailed in
the following. Indeed, while the model [27] was already able to express the transition between
states [38] such as sleep-like slow oscillations activity and awake-like classification, the refine-
ments of its parameters here introduced make ThaCo more biologically plausible, leveraging
as calibration tool the accurate comparison with experimental observations of differential
changes in firing rates. In their work, Watson et al. [25] used large-scale recordings to examine
the activity of neurons in the frontal cortex of rats and observe the distributions of pyramidal
cell firing rates in different brain states: Awake, REM, nonREM and Microarousals. They
found that periods of nonREM sleep reduced the post-sleep awake activity of neurons with
high pre-sleep firing rate while up-regulating the firing of slow-firing neurons. Moreover, in PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 8 / 26 Fig 3. Incremental learning with alternation of awake training and sleep in ThaCo. A) Dots: incoming current to each cortical neuron versus its
adaptation current during different network stages of the activity presented in B. Pre-sleep classification phase (represented in blue, number 1), early sleep-
like phase (in red, number 2), late sleep-like phase (in orange, number 3) and post-sleep classification phase (in green, number 4). 2.1 ThaCo model pre- and post-sleep firing rates and comparison with the
experiments Ellipses: Areas in the plot
associated with different network stages, estimated from data through a Gaussian Mixture Model with a full covariance matrix. During sleep, the total input
current to the cortical neurons decreases due to the sleep-induced homeostatic effect, that reduces recurrent connections weights in the cortical layer (see th
transition from number 2 to number 3 in the diagram), notwithstanding the constant external aspecific stimulus. Sleep-like activity, on the other hand, affec
the network status during the following awake classification phase 4: the effect of STDP during sleep is a general reduction and homogenization of input
current distribution, as shown in a comparison between the pre-sleep stage 1 and post-sleep stage 4 in the diagram. B and C) Spiking cortical and thalamic
activity produced during training (10 examples, one per digit class), classification (20 images) and sleeping phase for two consecutive sets respectively. First
row: mean firing rate of the cortical neurons trained over a set of 10 examples (each set is used to independently train 200 cortical neurons, 20 per digit
example); during the sleeping phase the slow oscillation frequency trend in time is also depicted Second row: raster plot of the first 400 cortical neurons
COMPUTATIONAL BIOLOGY
Thalamo-cortical spiking model of incremental learning/sleep cycle PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles Fig 3. Incremental learning with alternation of awake training and sleep in ThaCo. A) Dots: incoming current to each cortical neuron versus its
adaptation current during different network stages of the activity presented in B. Pre-sleep classification phase (represented in blue, number 1), early sleep-
like phase (in red, number 2), late sleep-like phase (in orange, number 3) and post-sleep classification phase (in green, number 4). Ellipses: Areas in the plot
associated with different network stages, estimated from data through a Gaussian Mixture Model with a full covariance matrix. During sleep, the total input
current to the cortical neurons decreases due to the sleep-induced homeostatic effect, that reduces recurrent connections weights in the cortical layer (see the
transition from number 2 to number 3 in the diagram), notwithstanding the constant external aspecific stimulus. 2.1 ThaCo model pre- and post-sleep firing rates and comparison with the
experiments As shown in Fig 2B, the sextile with the
highest firing rates significantly decreased its activity over sleep, in accordance with results
obtained by Watson et al. [25] (see Fig 3B of their work). Finally, we evaluated the impact of
sleep on the cortical firing rates distribution during awake states. In Fig 2E, we compare firing
rates distribution pre- and post-sleep depicting the homeostatization effect of sleep. An interesting feature is that lognormal distributions spontaneously emerge from our sim-
ulations. This result is coherent with experimental observations and with theoretical consider-
ations showing that the lognormal distribution of activities in randomly connected recurrent
networks is a natural consequence of the non-linearity of the input-output gain function [39]. In agreement with Watson et al. [25], we also found that the arithmetic mean of the population
firing rates declined throughout sleep, as visible using a test of correlation of spike rate versus
time (see Fig 2D to be compared with Fig 3B by [25], the slope of the rate change within time-
normalized sleep from all cx neurons in all recordings is R = −0.10, p = 10−3). In order to dem-
onstrate that sleep brings varying differential effects across the rate spectrum, we compared
mean firing rates in the first and the last 100s of sleep. As depicted in Fig 2C, fast-firing neu-
rons decreased their rates over sleep, whereas slow-firing neurons increased their rates (to be
compared with Fig 3D by [25]). To quantify this observation, we assessed spike rates of the
same neurons in the first versus the last nonREM 100s of sleep and found the slope of this cor-
relation significantly departed from unity (slope, 95% confidence interval 0.6015 −0.6130). F
h
f ll
i
[
]
di id d Th C
i
i
l
i
i
il Furthermore, following [25], we divided ThaCo excitatory cortical neurons into six sextile
groups sorted by their awake firing rates (Fig 2A). As shown in Fig 2B, the sextile with the
highest firing rates significantly decreased its activity over sleep, in accordance with results
obtained by Watson et al. [25] (see Fig 3B of their work). Finally, we evaluated the impact of
sleep on the cortical firing rates distribution during awake states. In Fig 2E, we compare firing
rates distribution pre- and post-sleep depicting the homeostatization effect of sleep. 2.1 ThaCo model pre- and post-sleep firing rates and comparison with the
experiments First
row: mean firing rate of the cortical neurons trained over a set of 10 examples (each set is used to independently train 200 cortical neurons, 20 per digit
example); during the sleeping phase, the slow oscillation frequency trend in time is also depicted. Second row: raster plot of the first 400 cortical neurons. Third row: mean firing rates of thalamic neurons. Once recruited in the training phases, the cortical neurons participate in classification and sleeping phases. https://doi.org/10.1371/journal.pcbi.1009045.g003 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 9 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles distribution of neuronal mean firing rates for both awake and nonREM states of our model, to
be compared with Fig 2A of Watson et al. [25] (REM not included in ThaCo). Median rates (±
SD) of excitatory cortical neurons in ThaCo in each state are: awake, 1.2 ± 1.1Hz and nonREM,
0.6 ± 0.3Hz. 0.6 ± 0.3Hz. An interesting feature is that lognormal distributions spontaneously emerge from our sim-
ulations. This result is coherent with experimental observations and with theoretical consider-
ations showing that the lognormal distribution of activities in randomly connected recurrent
networks is a natural consequence of the non-linearity of the input-output gain function [39]. In agreement with Watson et al. [25], we also found that the arithmetic mean of the population
firing rates declined throughout sleep, as visible using a test of correlation of spike rate versus
time (see Fig 2D to be compared with Fig 3B by [25], the slope of the rate change within time-
normalized sleep from all cx neurons in all recordings is R = −0.10, p = 10−3). In order to dem-
onstrate that sleep brings varying differential effects across the rate spectrum, we compared
mean firing rates in the first and the last 100s of sleep. As depicted in Fig 2C, fast-firing neu-
rons decreased their rates over sleep, whereas slow-firing neurons increased their rates (to be
compared with Fig 3D by [25]). To quantify this observation, we assessed spike rates of the
same neurons in the first versus the last nonREM 100s of sleep and found the slope of this cor-
relation significantly departed from unity (slope, 95% confidence interval 0.6015 −0.6130). Furthermore, following [25], we divided ThaCo excitatory cortical neurons into six sextile
groups sorted by their awake firing rates (Fig 2A). 2.2 The ThaCo network model and the training protocol signal, leading to an enhancement of connections between the cortical neurons trained over
the presented example and the subgroup of readout neurons associated with the correct class. The simultaneous stimulation by perceptual signals and contextual signals emulates the orga-
nizing principle of the cerebral cortex as described by Larkum et al. [1], approximating the
effects of the dendritic apical amplification mechanism at the cellular level. It is worth noting
that this is the only phase when a category-specific (rather than an example-specific) signal is
given to the network: protocols concerning this ro layer are supervised training protocols, We set the network parameters in an under threshold regime that enables the training above
described through the selected STDP model on the single-compartment standard Adaptive
Exponential (AdEx) integrate-and-fire neuron that would not otherwise distinguish among
basal and apical stimuli. See details about the model construction, the presentation of visual
stimuli and the addition of noise in the Material and Methods, Section 4 and in S1 Text. 2.2 The ThaCo network model and the training protocol It is worth noting
that this is the only phase when a category-specific (rather than an example-specific) signal is
given to the network: protocols concerning this ro layer are supervised training protocols,
whereas those for the other layers can be referred as unsupervised training protocols. During
the classification phase, signals resulting from preprocessed images are again transmitted to
the thalamus analogously to the training phase, however, no contextual signal is transmitted to
either cortical and readout neurons. During this stage, the neuronal activation results from the
combination of the current injected by perceptual signals and the one injected by recurrent
interconnections strengthened by the synaptic STDP dynamics during the training and modi signal, leading to an enhancement of connections between the cortical neurons trained over
the presented example and the subgroup of readout neurons associated with the correct class. The simultaneous stimulation by perceptual signals and contextual signals emulates the orga-
nizing principle of the cerebral cortex as described by Larkum et al. [1], approximating the
effects of the dendritic apical amplification mechanism at the cellular level. It is worth noting
that this is the only phase when a category-specific (rather than an example-specific) signal is
given to the network: protocols concerning this ro layer are supervised training protocols,
whereas those for the other layers can be referred as unsupervised training protocols. During
the classification phase, signals resulting from preprocessed images are again transmitted to
the thalamus analogously to the training phase, however, no contextual signal is transmitted to
either cortical and readout neurons. During this stage, the neuronal activation results from the
combination of the current injected by perceptual signals and the one injected by recurrent
interconnections strengthened by the synaptic STDP dynamics during the training and modi-
fied by STDP during sleep cycles. We infer the network answer to the classification task in two
different ways: first, unsupervised, taking the class of the example over which the most active
subgroup of cortical neurons has been trained; second, supervised, taking the class associated
to the most active subgroup of readout neurons. Specifically, the readout layer performs the
integration of signals coming from the subgroups of cortical neurons trained over different
examples belonging to the same class (see Section 4.1 for a more detailed representation of the
learning process). The activity produced by the cortical neurons during training, classification
and sleeping phases is depicted in Fig 3B and 3C. 2.2 The ThaCo network model and the training protocol The proposed ThaCo circuit is organized into three layers, as shown in Fig 1A: an input layer,
the thalamus, which consists of an excitatory population (tc) whose firing rate is under the
control of a reticular inhibitory fully-connected population (re); the cortex, consisting of an
excitatory population (cx) and an inhibitory population (in), both fully connected as well; a
readout (ro) layer, to which the cortex is also fully connected, composed of subgroups of neu-
rons of neurons associated to each class. The learning protocol is organized in alternation of
training phases—when the internal structure of the network is shaped according to the learnt
examples—and testing phases—when the classification performance of the network is evalu-
ated (see Section 4.1). In both training and classification phases, the network is provided with
sample images drawn from the MNIST dataset. The sample images are pre-processed to pro-
duce stimulus signals that are transmitted to the excitatory neurons of the thalamus (see para-
graphs “The datasets of handwritten characters” and “Thalamic coding of visual stimuli” in S1
Text for more details). During the training phase, simultaneously with the input sensory-like
stimulus, contextual signals are transmitted to the excitatory neurons of the cortex and to the
readout neurons. The observed bursting behaviour of the neurons is a consequence of the tem-
poral coincidence between impinging perceptual and contextual signals. Specifically, for each
example to learn, an example-specific group of excitatory neurons in cx is facilitated through
the presentation of a contextual signal. This induces a higher activity in these neurons causing
a strengthening of both thalamo-cortical synapses and recurrent synapses. This example-spe-
cific tuning involves each neuron with a single training example only, whose category defines
(in an unsupervised manner) a natural category for which the neuron is better tuned. Mean-
while, a subgroup of readout neurons (ro) is stimulated by a digit-class specific contextual PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 10 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles signal, leading to an enhancement of connections between the cortical neurons trained over
the presented example and the subgroup of readout neurons associated with the correct class. The simultaneous stimulation by perceptual signals and contextual signals emulates the orga-
nizing principle of the cerebral cortex as described by Larkum et al. [1], approximating the
effects of the dendritic apical amplification mechanism at the cellular level. 2.3 Incremental learning: Performances We trained the proposed network over an incremental number of training examples and eval-
uated its classification performances on a set of images never shown. We also compared the
average accuracy of our thalamo-cortical spiking model with that obtained using standard
Knn-x classification systems for different numbers of training examples per digit category. See
Fig 4 and Table 1. The model presented in this work enables instance-incremental as well as
class-incremental learning. The training protocol we adopted for the results presented here
was based on the balanced-mini-batches scheme proposed by [32]. More specifically, the train-
ing set of hand-written digits was divided into mini-batches of 10 examples each, in which
each class was represented by just one example. In S1 Text, we include a comparison of perfor-
mance obtained using different training protocols. MNIST images have been presented to the ThaCo th layer using the improved pre-process-
ing protocol described in paragraph Thalamic coding of visual stimuli of the S1 Text. The
accuracy has been evaluated over classification trials, each one including 500 images, and the
classification accuracy has been averaged over 20 trials. Fig 4A shows the accuracy for incre-
mental learning as a function of the number of training examples per class. Fig 4B and 4C, on
the other hand, depict the average accuracy of the compared training algorithms for the last 10
to 20 and the first 1 to 5 training examples per class respectively, to better show their different
behaviour at different stages of the learning process. For the MNIST dataset, higher-order Knn
algorithms surpass the performance of Knn-1 only when the training set includes more than
10 examples per digit class. It is worth noting that the soft WTA mechanism of ThaCo can PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 11 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles Fig 4. Comparison of the average accuracy of the proposed thalamo-cortical spiking model compared to artificial K-nearest-neighbour incremental algorithms
in absence of noise (solid lines) and with noisy inputs(dotted lines). A) We infer the network answer to the classification task in two different ways: 1) Digit-Class
Readout, as the class associated to the most active subgroup of readout neurons in ThaCo (supervised approach); 2) Example-Specific Group, by mapping the class
over which the most active subgroup of cortical neurons has been trained (unsupervised approach). 2.3 Incremental learning: Performances Solid lines depict accuracy in absence of noise, dotted lines depict
accuracy with “Salt and Pepper” noise (density = 0.2) injected into the unprocessed MNIST images for both training and classification phases. Accuracy is assessed on
an independent test set, consisting of 500 examples; the average and standard error of the mean (SEM) are evaluated on 20 different trials using independent training
sets in each. B), C) represent the same plots shown in A) on different scales, for visualization purposes and for highlighting selected features. Specifically, B) ThaCo
behaves like Knn-k1 for a small number of examples; C) as the number of training examples increases, ThaCo Digit-Class-Readout exhibits performances that are
comparable with higher-order Knn algorithms. https://doi.org/10.1371/journal.pcbi.1009045.g004 Fig 4. Comparison of the average accuracy of the proposed thalamo-cortical spiking model compared to artificial K-nearest-neighbour incremental algorithms
in absence of noise (solid lines) and with noisy inputs(dotted lines). A) We infer the network answer to the classification task in two different ways: 1) Digit-Class
Readout, as the class associated to the most active subgroup of readout neurons in ThaCo (supervised approach); 2) Example-Specific Group, by mapping the class
over which the most active subgroup of cortical neurons has been trained (unsupervised approach). Solid lines depict accuracy in absence of noise, dotted lines depict
accuracy with “Salt and Pepper” noise (density = 0.2) injected into the unprocessed MNIST images for both training and classification phases. Accuracy is assessed on
an independent test set, consisting of 500 examples; the average and standard error of the mean (SEM) are evaluated on 20 different trials using independent training
sets in each. B), C) represent the same plots shown in A) on different scales, for visualization purposes and for highlighting selected features. Specifically, B) ThaCo
behaves like Knn-k1 for a small number of examples; C) as the number of training examples increases, ThaCo Digit-Class-Readout exhibits performances that are
comparable with higher-order Knn algorithms. learn incrementally and has comparable performances to the best Knn-n algorithm for a given
number of training examples. Specifically, the supervised ThaCo is proven to be able to per-
form the integration of signals coming from subgroups of cortical neurons trained over differ-
ent examples belonging to the same class and its performances are comparable to higher-order learn incrementally and has comparable performances to the best Knn-n algorithm for a given
number of training examples. 2.3 Incremental learning: Performances Specifically, the supervised ThaCo is proven to be able to per-
form the integration of signals coming from subgroups of cortical neurons trained over differ-
ent examples belonging to the same class and its performances are comparable to higher-order PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 12 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles Knns, whereas the unsupervised ThaCo performances are proven to be comparable with Knn-
1 performances when few examples are presented. Table 1. Accuracy achieved by the different learning algorithms over a different number of training examples. The accuracy has been computed over a test set of 500
examples, and the average is done over 20 trials. Accuracy (%)
Training examples per class
Algorithm
1
2
3
5
10
20
Knn, k = 1
68.0 ± 1.0
76.1 ± 1.0
80.6 ± 0.8
84.5 ± 0.4
88.3 ± 0.4
90.4 ± 0.3
Knn, k = 3
37.2 ± 1.3
66.0 ± 1.1
75.4 ± 0.9
82.7 ± 0.4
88.3 ± 0.3
91.0 ± 0.3
Knn, k = 5
23.9 ± 1.5
62.0 ± 1.3
72.2 ± 0.9
81.9 ± 0.4
88.2 ± 0.3
91.2 ± 0.3
ThaCo—Digit class readout
65.7 ± 1.0
74.8 ± 0.8
80.4 ± 0.7
84.8 ± 0.6
88.6 ± 0.5
91.1 ± 0.3
ThaCo—Example specific group
65.7 ± 0.9
73.6 ± 0.9
78.1 ± 0.6
82.7 ± 0.4
86.4 ± 0.4
88.6 ± 0.4
https://doi.org/10.1371/journal.pcbi.1009045.t001 Knns, whereas the unsupervised ThaCo performances are proven to be comparable with Knn-
1 performances when few examples are presented. Knns, whereas the unsupervised ThaCo performances are proven to be comparable with Knn-
1 performances when few examples are presented. 2.4 Classification of noisy input We evaluated the network behaviour within a noisy input environment and compared it to the
Knn performances. For this, we injected a ‘Salt and Pepper’ noise [40] (density = 0.2) into the
unprocessed MNIST images. Noisy images are then pre-processed (see 1) and presented to the
network in both training and classification phases. Fig 4A depicts the average accuracy of the
network trained incrementally over a total number of 20 noisy examples per class and com-
pares it to performances of Knn-n algorithms (as in section 2.3, both Knn and ThaCo algo-
rithms are trained incrementally). It is worth noting that in this scenario the ThaCo algorithm
has better performances than the Knn-n algorithms. PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 2.5 Beneficial effect of deep-sleep in compensating the impact of noisy
contextual labels some examples are associated with stronger synapses), leading to a drop in performances (comparison between blue and
violet line). Still, the interposition deep-sleep-like phases between noisy-training and classification phases recovers the performances of the network trained
with a non-noisy protocol. B) Sleep-induced homeostatic and associative effects on cortico-cortical synaptic-weight distributions. Pre-sleep (violet),
post-sleep (green). Solid lines: mean and standard deviation. a) Intra-group connections: weight distributions of synapses connecting neurons trained over
the same example (i.e. that during the training stage were triggered by the same contextual stimulus, thus activated simultaneously during a specific training
p
g
g
p y Fig 5. A) Sleep mitigates the effects of noisy contextual signals on the classification performances of ThaCo Classification performances evaluated over
the Readout layer (supervised learning protocol, left) and Cortical layer (unsupervised learning protocol, right). Comparison among the network trained
over non noisy examples (blue), the network trained over noisy examples without any deep-sleep like phase (violet), and the network trained over noisy
examples interposing a deep-sleep-like activity between the training and the classification phases (green). The contextual signal provided in the training
phase is corrupted by noise (i.e. some examples are associated with stronger synapses), leading to a drop in performances (comparison between blue and
violet line). Still, the interposition deep-sleep-like phases between noisy-training and classification phases recovers the performances of the network trained
with a non-noisy protocol. B) Sleep-induced homeostatic and associative effects on cortico-cortical synaptic-weight distributions. Pre-sleep (violet),
post-sleep (green). Solid lines: mean and standard deviation. a) Intra-group connections: weight distributions of synapses connecting neurons trained over
the same example (i.e. that during the training stage were triggered by the same contextual stimulus, thus activated simultaneously during a specific training
example); b) Intra-class connections: weight distributions of synapses connecting neurons trained over different examples belonging to the same class (i.e. that have not been simultaneously triggered by the contextual stimulus in the training phase, but still have been triggered by a sensorial thalamic signal
associated to images belonging to the same class) c) Inter-class connections: Connections among groups trained over different classes (i.e. triggered by the
contextual stimulus together with a sensorial thalamic signal associated to images belonging to different classes). We note the homeostatic effect of sleep (in
A) leading to a general reduction of weights associated to example-specific synapses and a reinforcement of the intra-class connections (in B). Synapses Fig 5. 2.5 Beneficial effect of deep-sleep in compensating the impact of noisy
contextual labels For the aim of introducing more biologically-plausible elements regarding the combination of
contextual and perceptual signals, we slightly modify the ThaCo training protocol: the magni-
tude of the contextual signal given to both the cortex and the readout layer trained over a new
learning example is now randomly extracted from a Gaussian distribution. As a consequence,
some of the presented examples are better represented than others, resembling a more realistic
situation in the cortex in which both the degree of knowledge projected by other areas and the
number and strength of apical synapses carrying the contextual information and raising the
perceptual thresholds during learning are not exactly equal for all the presented examples and
all the neurons in the selected group. We introduce the deep-sleep state in our training protocol, as follows: after each training
phase, we disconnect ThaCo from external inputs and induce deep-sleep-like oscillations, fol-
lowing the method described in [27] and here described in Section 2.1 and in S1 Text, para-
graph Sleep-like oscillatory dynamics. As expected, noise in the contextual signal leads to a
drop in performance, compared to the idealized situation presented in the previous section
(i.e. the careful equalization of contextual signal), but such drop can be reduced by sleep, as
shown in Fig 5A. At the synaptic level, it is possible to observe how deep-sleep-like slow oscillations induce in
the current ThaCo model both a regularisation of the strength of the memories of individual
learned examples through homeostasis and an association between groups of neurons trained
over different examples of the same class. Figs 5B and 6 report such sleep-induced optimiza-
tion of the synaptic representation of memories. Specifically, within neurons belonging to the PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 13 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles Fig 5. A) Sleep mitigates the effects of noisy contextual signals on the classification performances of ThaCo Classification performances evaluated over
the Readout layer (supervised learning protocol, left) and Cortical layer (unsupervised learning protocol, right). Comparison among the network trained
over non noisy examples (blue), the network trained over noisy examples without any deep-sleep like phase (violet), and the network trained over noisy
examples interposing a deep-sleep-like activity between the training and the classification phases (green). The contextual signal provided in the training
phase is corrupted by noise (i.e. 2.5 Beneficial effect of deep-sleep in compensating the impact of noisy
contextual labels The inset, showing part of the same plot in a lin-lin
scale, is added to illustrate the shape of the pre-sleep distribution, and the difference in the mean values before and after sleep. https://doi.org/10.1371/journal.pcbi.1009045.g005 same example-specific group, the synaptic weights distribution decreases its mean and coeffi-
cient of variation (from μ = 74, μ/σ = 0.3, skewness 0.55 pre-sleep to μ = 60, μ/σ = 0.2, skewness
−0.26 post-sleep) whereas within neurons belonging to different example-specific group but
coding for the same class, the synaptic weights distribution increases its mean and coefficient same example-specific group, the synaptic weights distribution decreases its mean and coeffi-
cient of variation (from μ = 74, μ/σ = 0.3, skewness 0.55 pre-sleep to μ = 60, μ/σ = 0.2, skewness
−0.26 post-sleep) whereas within neurons belonging to different example-specific group but
coding for the same class, the synaptic weights distribution increases its mean and coefficient same example-specific group, the synaptic weights distribution decreases its mean and coeffi-
cient of variation (from μ = 74, μ/σ = 0.3, skewness 0.55 pre-sleep to μ = 60, μ/σ = 0.2, skewness
−0.26 post-sleep) whereas within neurons belonging to different example-specific group but
coding for the same class, the synaptic weights distribution increases its mean and coefficient same example-specific group, the synaptic weights distribution decreases its mean and coeffi-
cient of variation (from μ = 74, μ/σ = 0.3, skewness 0.55 pre-sleep to μ = 60, μ/σ = 0.2, skewness
−0.26 post-sleep) whereas within neurons belonging to different example-specific group but
coding for the same class, the synaptic weights distribution increases its mean and coefficient Fig 6. Effects of sleep on intra-class and example-specific synapses after training with a noisy contextual signal. Comparison of synaptic-weight matrices,
pre-sleep (Left) vs post-sleep (Right). Training over 5 examples per class (20 neurons per example). 2.5 Beneficial effect of deep-sleep in compensating the impact of noisy
contextual labels A) and B) depict all cortico-cortical synaptic weights
connecting the full set of trained neurons (colour bar, logarithm scale), black lines separate neurons solicited by contextual signal together with thalamic
sensorial signal pointing to images belonging to the same digit class in the training phase; C) and D) focus on the synaptic weights connecting groups of
cortical neurons simultaneously solicited by a contextual signal in the training phase (thus stimulated over the same sensorial signal identifying images
belonging to the same class) (colour bar, linear scale), vertical black lines separate neurons trained over different categories, horizontal black lines separate
cortical groups of neurons solicited during the presentation of the same 10 examples (one per digit class). The post-sleep intra-class cooperation is evident in B
and in agreement with Fig 5B.b, while the homeostatic effect over example-specific synapses is manifest in D as already suggested by Fig 5B.a. The strong,
example-specific differences in synaptic weights (e.g. third example of class 4) are due to the noisy training protocol that introduces randomness in the
magnitude of the contextual signal that reaches the example-specific group. https://doi.org/10.1371/journal.pcbi.1009045.g006 Fig 6. Effects of sleep on intra-class and example-specific synapses after training with a noisy contextual signal. Comparison of synaptic-weight matrices,
pre-sleep (Left) vs post-sleep (Right). Training over 5 examples per class (20 neurons per example). A) and B) depict all cortico-cortical synaptic weights
connecting the full set of trained neurons (colour bar, logarithm scale), black lines separate neurons solicited by contextual signal together with thalamic
sensorial signal pointing to images belonging to the same digit class in the training phase; C) and D) focus on the synaptic weights connecting groups of
cortical neurons simultaneously solicited by a contextual signal in the training phase (thus stimulated over the same sensorial signal identifying images
belonging to the same class) (colour bar, linear scale), vertical black lines separate neurons trained over different categories, horizontal black lines separate
cortical groups of neurons solicited during the presentation of the same 10 examples (one per digit class). The post-sleep intra-class cooperation is evident in B
and in agreement with Fig 5B.b, while the homeostatic effect over example-specific synapses is manifest in D as already suggested by Fig 5B.a. The strong,
example-specific differences in synaptic weights (e.g. 2.5 Beneficial effect of deep-sleep in compensating the impact of noisy
contextual labels A) Sleep mitigates the effects of noisy contextual signals on the classification performances of ThaCo Classification performances evaluated over
the Readout layer (supervised learning protocol, left) and Cortical layer (unsupervised learning protocol, right). Comparison among the network trained
over non noisy examples (blue), the network trained over noisy examples without any deep-sleep like phase (violet), and the network trained over noisy
examples interposing a deep-sleep-like activity between the training and the classification phases (green). The contextual signal provided in the training
phase is corrupted by noise (i.e. some examples are associated with stronger synapses), leading to a drop in performances (comparison between blue and
violet line). Still, the interposition deep-sleep-like phases between noisy-training and classification phases recovers the performances of the network trained
with a non-noisy protocol. B) Sleep-induced homeostatic and associative effects on cortico-cortical synaptic-weight distributions. Pre-sleep (violet),
post-sleep (green). Solid lines: mean and standard deviation. a) Intra-group connections: weight distributions of synapses connecting neurons trained over
the same example (i.e. that during the training stage were triggered by the same contextual stimulus, thus activated simultaneously during a specific training
example); b) Intra-class connections: weight distributions of synapses connecting neurons trained over different examples belonging to the same class (i.e. that have not been simultaneously triggered by the contextual stimulus in the training phase, but still have been triggered by a sensorial thalamic signal
associated to images belonging to the same class) c) Inter-class connections: Connections among groups trained over different classes (i.e. triggered by the
contextual stimulus together with a sensorial thalamic signal associated to images belonging to different classes). We note the homeostatic effect of sleep (in
A) leading to a general reduction of weights associated to example-specific synapses and a reinforcement of the intra-class connections (in B). Synapses PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 14 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles connecting groups trained on different examples, on the other hand, are much less affected by sleep. The inset, showing part of the same plot in a lin-lin
scale, is added to illustrate the shape of the pre-sleep distribution, and the difference in the mean values before and after sleep. https://doi.org/10.1371/journal.pcbi.1009045.g005 connecting groups trained on different examples, on the other hand, are much less affected by sleep. PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 2.5 Beneficial effect of deep-sleep in compensating the impact of noisy
contextual labels third example of class 4) are due to the noisy training protocol that introduces randomness in the
magnitude of the contextual signal that reaches the example-specific group. https://doi.org/10.1371/journal.pcbi.1009045.g006 https://doi.org/10.1371/journal.pcbi.1009045.g006 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 15 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles of variation (from μ = 0.005, μ/σ = 0.001, skewness 0.003 pre-sleep to μ = 0.5, μ/σ = 1.6, skew-
ness −2.9 post-sleep). Specifically, the homeostatic effect of deep-sleep-like SOs can be identified comparing Fig
6C and 6D: the distribution of synaptic weights sharpens (i.e. it exhibits smaller post-sleep σ
and μ) and presents a general depression of synaptic weights. These two variations combine
to produce beneficial effects. First, this leads to a lowering of the heterogeneity of representa-
tion of learned examples, a reduction of the energetic cost of memory recall (reduced synap-
tic strength is associated with a lower metabolic cost of synaptic activity) and lower post-
sleep spiking rates (see section 2.1). Moreover, deep-sleep-like oscillations affects categorical
association and is depicted in Fig 5B.b: synapse weights connecting groups of neurons
trained over different examples but belonging to the same digit class increase from a nearly
zero pre-sleep value, while synapses connecting representations of memories belonging to
different classes are much less affected. This effect is also visible comparing Fig 6A and 6B,
where synapses connecting representations of memories belonging to the same digit class
light up (big squares along the diagonal). Asymmetric STDP induces, on one hand, the
depression of strong synapses, on the other the association among neuronal groups coding
for the same class (i.e. trained over similar stimuli), through a mechanism of resemblance in
their thalamic representation. 3 Discussion PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 16 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles We stress that, even though we showed to be successful in reproducing specific experimen-
tal observations, the aim of this work is not to exactly reproduce a biological network (for
instance, the emulation of metabolic processes goes beyond the scope of this work), but to
develop a simplified task-specific spiking neural network able to express biological features,
and receive an indication on how even an approximated emulation of deep-sleep and of the
combination of contextual and perceptual information can positively affect the network per-
formances. Specifically, without any pretence to be biologically realistic, the neuron model
used in these simulations is a point-like AdEx (see section The neuron model), yet we are able
to emulate a compartment neuron behaviour (described in [1]) without introducing more
complex morphological units in the network. For this, we approximated the coincidence
mechanism by setting both the contextual and sensory inputs impinging on cortical neurons
in a subthreshold point (see 4.1). Another major aspect of our work is the effect of sleep on the network and on the memories
stored in it. The role played by sleep in memory consolidation has been widely studied from
an experimental point of view [46, 47], but only recently it has become the object of theoretical
and computational modelizations [27, 48–50]. In our work, we investigated computationally
the effect of slow oscillations on the structure and the performances of the network when the
STDP plasticity is turned on. We proved that deep-sleep-like slow oscillations can be beneficial
to equalize the memories stored in a cortico-thalamic structure when learned in noisy condi-
tions. Indeed, slow oscillations can compensate for the contextual noise through homeostasis,
equalizing synaptic weights and creating beneficial associations that improve classification
performance. The predictions of our model are also a first step toward the reconciliation of recent experi-
mental observations about both an average synaptic down-scaling effect (synaptic homeostatic
hypothesis—SHY [51]) and a differential modulation of firing rates [25] induced by deep-
sleep, which is believed to be a default state mode for the cortex [52]. As mentioned above, we focused on the role of NREM-sleep for memory consolidation. The simulation of a complete sleep cycle that includes REM and micro-arousal phases goes
beyond the scope of this paper and is currently under investigation. 3 Discussion One more limitation of
this work is that it does not take into account the role of synchronization among different
brain regions. Actually, assuming a typical neural density in the range of 5 104 neurons per
mm2 of the cortex, and considering that the maximum size of the proposed model rises up to
5000 cortical neurons, such a number is equivalent to a small cortical area with a dimension of
about 300μm, that is well below the size of a single cortical area. To overcome this limitation,
we are extending the model to multi-layers and multi-area descriptions. Finally, this work represents an additional contribution in understanding sleep mechanisms
and functions, in line with the efforts we are carrying out in data analysis [53, 54] and in large-
scale simulations [55], aimed at bridging different elements in a multi-disciplinar approach. In particular, it hints to a careful balance between architectural abstraction and experimental
observations as a valid methodology for the description of brain mechanisms and of their links
with cognitive functions. 3 Discussion We propose a simplified thalamo-cortical spiking model (ThaCo) that exploits the combina-
tion of context and perception to build a soft-WTA circuit, and that is able to express sleep-
like slow oscillations. In order to be compliant with biological rhythms, we first verified that
the proposed network is able to reproduce the experimental measures of neuronal firing rates
during awake and deep-sleep states performed by Watson et al [25]. The agreement with the
experiments has been achieved by further developing the thalamo-cortical spiking model pro-
posed in [27] and by setting the model parameters to better fit the experimental recordings. The model we propose is capable of fast incremental learning from few examples (its perfor-
mances are comparable to those expressed by Knn, of rank increasing with the number of
examples) and of alternating several learning-sleep phases; moreover, it demonstrates resil-
ience when subjected to noisy perceptions with better performances than Knn algorithms;
these three facts constitute significant extensions to the previous study [27]. In recent years, there has been growing interest in the development of artificial neural net-
works (ANNs) or deep neural networks inspired by features found in biology, yet still using
mechanisms for learning and inference which are fundamentally different from what is actu-
ally observed in biology. On the other hand, there is also a plenty of computational models
aiming at reproducing biological proprieties in an exact way. Many models have been pro-
posed for pattern recognition tasks that use biologically-plausible mechanisms, combining
spiking networks and STDP plasticity [41–43]. The ThaCo model has been developed in line
with this philosophy, delivering a spiking neural network which relies on a combination of
biologically plausible mechanisms. It uses conductance-based AdEx neurons, STDP and lateral
inhibition. A crucial ingredient, which mostly differentiates our approach from previous
works, is the introduction of a contextual signal which drives the training procedure, making
it similar to a target-based approach [44, 45] and enabling huge advantages in terms of training
velocity and precision. Such mechanism was inspired by the work done by Larkum [1] sug-
gesting that the activity of a neuron is amplified when it receives a coincidence of signals from
both lower and higher levels of abstraction. This allows the recruitment of new neurons to
learn novel examples through the incremental building of a soft-WTA mechanism. 4.1 Winner-take-all mechanisms by combining context and perception We set the network parameters to induce the creation of WTA mechanisms by emulating the
organizing principle of the cortex described by Larkum et al. [1]. During the training, the network is set in a hard-WTA regime (firing rate different from
zero only on a selected example-specific sub-set of neurons), while during classification it
works in a soft-WTA regime (i.e. the firing rate can be different from zero in multiple groups
of neurons, and the winner group is assumed to be the one firing at the higher rate). Specifi-
cally, during the training, we set our parameters to be so that the thalamic signal alone is not
sufficient to make neurons spike. This is reported in Fig 7C that represents the mean firing
rate and the membrane potential over time for a group of cortical neurons stimulated to
encode for a training example in three different contextual scenarios: Fig 7C-center shows the
network behaviour in the absence of a thalamic signal; Fig 7C-left shows the network response
without the contextual signal; Fig 7C-right shows the network behaviour with both the contex-
tual and the thalamic signal. The cortical activity in the absence of contextual signal is null and
it is really low when only the stimulation of the contextual signal is present. The combined
action of the two, on the other hand, yields a higher spiking activity. We can therefore con-
clude that we put the network in what we named an under-threshold regime. Moreover, to bet-
ter show the implemented soft Winner-take-all dynamics, we present the mean firing rate of
three subgroups of cortical neurons trained over different examples belonging to different cat-
egories during both retrieval (i.e. training examples are presented again to the network without
any contextual signal) and classification phases. The implementation of WTA dynamics is
depicted in Fig 7D. 4.1.1 Simple mathematical model of soft-WTA creation. In this section, we discuss the
capability of our model to learn over a few examples through soft-WTA mechanisms. First, we
demonstrate how the network is surely endowed with the capability to behave like a Knn clas-
sifier. In the first training step, the network is exposed to one example for each of ten digit
class (L = 10). Let D(l) = {1 + (l −1)K, . . 4 Materials and methods The results of the ThaCo model (Section 2) have been obtained thanks to fine implementations
of several features. Such fine-tuning is presented in this Section and in the S1 Text. In particu-
lar, Section 4.1 addresses the crucial point of the model calibration, aimed at inducing a soft-
WTA mechanism by combining context and perception, achieved by setting the network
parameters in what we call an under-threshold regime, that enables a training through the 17 / 26 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles selected STDP model on single-compartment standard Adaptive Exponential integrate-and-
fire neuron (AdEx) that would not otherwise distinguish among basal and apical stimuli (see
S1 Text). MNIST characters are coded by the thalamus according to the scheme presented in
S1 Text that preserves a notion of distance among visual features. Simulation reported were executed on dual-socket servers with eight-core Intel(R) Xeon(R)
E5–2620 v4 CPU per socket. The cores are clocked at 2.10GHz with HyperThreading enabled,
so that each core can run 2 processes, for a total of 32 processes per server. The ThaCo model
has been implemented using the NEST 2.12.0 [56] simulation engine. 4.1 Winner-take-all mechanisms by combining context and perception Here, the WTA mechanism is essential to decide the classification answer; the network decision can be evaluated
measuring the activation level of the groups, either in the cortex or in the readout layer. C) Combination of contextual and perceptual signals to create one group of
cortical neurons sensible to a specific example in a soft winner-take-all mechanism. Three examples are presented to three cortical groups for 2s (start and stop
presentation time marked by green and red dashed lines). High firing rate is induced only when the example-specific cortical group is reached by both the thalamic
(perceptual) stimulus and the contextual (example-specific) signal. Upper row: mean firing rates of a cortical subgroup of cortical neurons; lower row: mean
membrane potentials (the black dotted line depicts the firing threshold potential). Left column: Neuron activity when stimulated by the thalamic signal only
(perception): null firing rate and under-threshold membrane potential. Central column: Neuron activity when stimulated by contextual signal only (internal
prediction): a moderate firing rate is induced. Right column: Simultaneous perceptual and contextual signals induce a high firing rate in the example-specific group. D) Soft Winner-take-all dynamics among example-specific groups of cortical neurons during retrieval and classification phases. Mean firing rates of three groups
trained to be sensitive to three different examples. D-Rows) Firing rates of the firs (blue), second(orange), third (green) neural group. D-Retrieval phase column)
Exactly the three learnt examples (belonging to three different digit classes) are re-presented to the network without any contextual signal, resulting in an almost hard-
WTA dynamics among the three groups. D-Classification phase column) Three novel images, for which the network has not been trained, are presented to the
network without any hint from the contextual signal; a soft-WTA dynamics is emerging, rewarding for each presentation the neuron group with the highest firing rate
and still allowing all the other groups to fire with non-zero probability. Here read-out neurons are not represented and the figure demonstrates how it is possible to
extract a classification answer looking at the cortical layer only. https://doi org/10 1371/journal pcbi 1009045 g007
PLOS COMPUTATIONAL BIOLOGY
Thalamo cortical spiking model of incremental learning/sleep cycles Fig 7. Training and classification phases. A) Training Phase: the sensorial perception (blue arrow) is encoded into the thalamic excitatory neurons. 4.1 Winner-take-all mechanisms by combining context and perception A time-specific
contextual signal is delivered to a subset of cortical excitatory neurons (red arrow), raising their perceptual threshold on the example-specific thalamic activity and
inducing in such group of neurons a high firing rate during training (represented with red flames drawing). STDP induces group-specific connectivity in the subset of
facilitated cortical neurons, and the thalamic pattern is sculptured into synapses that connect the thalamus with the example-specific group. The readout layer, made of
as many groups of cortical neurons as the number of classification classes, is also trained through the simultaneous administration of a class-specific contextual signal
addressing the subset associated to the correct class label (red arrow). B) Classification Phase: no contextual signal is given to the cortex. One or more subgroups of
excitatory cortical neurons reach a high (red flames), intermediate (yellow flames) or low (no flames) level of activity, depending on the similarity between the
stimulating thalamic pattern and the training set. Here, the WTA mechanism is essential to decide the classification answer; the network decision can be evaluated
measuring the activation level of the groups, either in the cortex or in the readout layer. C) Combination of contextual and perceptual signals to create one group of
cortical neurons sensible to a specific example in a soft winner-take-all mechanism. Three examples are presented to three cortical groups for 2s (start and stop
presentation time marked by green and red dashed lines). High firing rate is induced only when the example-specific cortical group is reached by both the thalamic
(perceptual) stimulus and the contextual (example-specific) signal. Upper row: mean firing rates of a cortical subgroup of cortical neurons; lower row: mean
membrane potentials (the black dotted line depicts the firing threshold potential). Left column: Neuron activity when stimulated by the thalamic signal only
(perception): null firing rate and under-threshold membrane potential. Central column: Neuron activity when stimulated by contextual signal only (internal
prediction): a moderate firing rate is induced. Right column: Simultaneous perceptual and contextual signals induce a high firing rate in the example-specific group. D) Soft Winner-take-all dynamics among example-specific groups of cortical neurons during retrieval and classification phases. Mean firing rates of three groups
trained to be sensitive to three different examples. D-Rows) Firing rates of the firs (blue), second(orange), third (green) neural group. 4.1 Winner-take-all mechanisms by combining context and perception ., lK} be the set of indices of the K excitatory cortical
neurons that are induced to fire by the simultaneous presence of the contextual stimulation
and the thalamic input, carried by T thalamic neurons (see Fig 7C) when presented with one
of the training examples l 2 {1, ‥, L}. Also, starting from an initial value wth!cx
0
, let wth!cx
eq
be
the final average weight induced by STDP on the connections between the thalamic excitatory
neurons that are active during the learning of the training example l and the K excitatory corti-
cal neurons that are induced to activity. Finally, let x
ðlÞ
th be the binary feature vector of the train-
ing example l. The average weight at equilibrium of the connections between the thalamic
neurons activated by the example l and the excitatory cortical neurons can be written as: wth!cx
nj
¼ ðwth!cx
eq
wth!cx
0
Þx
ðlÞ
th;j þ wth!cx
0
j 2 f1; ::; Tg;
n 2 DðlÞ ¼ f1 þ ðl 1ÞK; ::; lKg;
l 2 f1; . . . ; Lg
ð1Þ ð1Þ PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 18 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles Fig 7. Training and classification phases. A) Training Phase: the sensorial perception (blue arrow) is encoded into the thalamic excitatory neurons. A time-specific
contextual signal is delivered to a subset of cortical excitatory neurons (red arrow), raising their perceptual threshold on the example-specific thalamic activity and
inducing in such group of neurons a high firing rate during training (represented with red flames drawing). STDP induces group-specific connectivity in the subset of
facilitated cortical neurons, and the thalamic pattern is sculptured into synapses that connect the thalamus with the example-specific group. The readout layer, made of
as many groups of cortical neurons as the number of classification classes, is also trained through the simultaneous administration of a class-specific contextual signal
addressing the subset associated to the correct class label (red arrow). B) Classification Phase: no contextual signal is given to the cortex. One or more subgroups of
excitatory cortical neurons reach a high (red flames), intermediate (yellow flames) or low (no flames) level of activity, depending on the similarity between the
stimulating thalamic pattern and the training set. https://doi.org/10.1371/journal.pcbi.1009045.g007 4.1 Winner-take-all mechanisms by combining context and perception D-Retrieval phase column)
Exactly the three learnt examples (belonging to three different digit classes) are re-presented to the network without any contextual signal, resulting in an almost hard-
WTA dynamics among the three groups. D-Classification phase column) Three novel images, for which the network has not been trained, are presented to the
network without any hint from the contextual signal; a soft-WTA dynamics is emerging, rewarding for each presentation the neuron group with the highest firing rate
and still allowing all the other groups to fire with non-zero probability. Here read-out neurons are not represented and the figure demonstrates how it is possible to
extract a classification answer looking at the cortical layer only. 19 / 26 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles After the training on the first set of L examples, a total of C = kL cortical neurons will have
been exposed to the combination of contextual and thalamic stimulation (see Fig 3A). During
the classification phase, represented in Fig 3B, when a never seen stimulus (the image S to be
classified) is presented to the network, the average signal from the thalamic layer (composed of
T neurons) to the excitatory cortical neurons (in all the L trained cortical groups) is: g
ðSÞ
n;th!cx ¼
X
j¼1;T
wth!cx
nj
rthx
ðSÞ
th;j
j 2 f1; ::; Tg
n 2 DðlÞ;
l 2 f1; . . . ; Lg
ð2Þ ð2Þ where ρth is the rate of the active thalamic neurons, and x
ðSÞ
th is the binary thalamic feature vec-
tor of the novel image S to be classified. Assuming w0 to be much smaller than weq, the average
signal from thalamic neurons to each cortical neuron belonging to D(l) group can thus be writ-
ten as: g
ðSÞ
n;th!cx ’
X
j¼1;T
wth!cx
eq
rthx
ðlÞ
th;jx
ðSÞ
th;j ¼ wth!cx
eq
rthx
ðlÞ
th x
ðSÞ
th
for n 2 DðlÞ
ð3Þ ð3Þ where S is the novel stimulus presented during the classification phase and l is the learning
example over which the set of neurons D(l) have been trained. The vectors of thalamic features
can be normalized (u = x/N(x), using their Euclidean norm (NðxÞ ¼ kxk2 ¼ ðP
ix2
i Þ
1
2). 4.1 Winner-take-all mechanisms by combining context and perception The
Euclidean distance among each training example (l) and the images (S) to be classified can be
written as dl,S = ku(l) −u(S)k2. It follows that d2
l;S ¼ 2 2uðlÞ uðSÞ, where we used the normali-
zation condition for both u(l) and u(S). In this way Eq 3 can be rewritten as: can be normalized (u = x/N(x), using their Euclidean norm (NðxÞ ¼ kxk2 ¼ ðP
ix2
i Þ
1
2). The
Euclidean distance among each training example (l) and the images (S) to be classified can be
written as dl,S = ku(l) −u(S)k2. It follows that d2
l;S ¼ 2 2uðlÞ uðSÞ, where we used the normali-
zation condition for both u(l) and u(S). In this way Eq 3 can be rewritten as: g
ðSÞ
ðlÞ;th!cx ’ wth!cx
eq
rthNðlÞNðSÞuðlÞ uðSÞ ¼ wth!cx
eq
rthNðlÞNðSÞð1 1
2 d2
l;SÞ
ð4Þ ð4Þ Eq 4 tells us that the thalamic signal is a decreasing function of the distance dl,S, if all training
examples are equally normalized(kx(i)k2 = kx(j)k28i, j 2 1, ‥L) and neglecting for a while the
possible changes in the thalamic rate ρth, that in our model can be mediated by the existing
cortico-thalamic feedback path. Under the approximation of constant ρth we can immediately
show that, after having being exposed to the first set of training examples, the soft-WTA
ThaCo excitatory network is at least endowed with the capability to behave as a nearest neigh-
bour classifier of the first order (Knn-1 classifier). The winning candidate K among the L com-
peting cortical groups is initially suggested to the network as the one reached by the strongest
thalamic stimulus when presented with the never seen image S: Eq 4 tells us that the thalamic signal is a decreasing function of the distance dl,S, if all training
examples are equally normalized(kx(i)k2 = kx(j)k28i, j 2 1, ‥L) and neglecting for a while the
possible changes in the thalamic rate ρth, that in our model can be mediated by the existing
cortico-thalamic feedback path. Under the approximation of constant ρth we can immediately
show that, after having being exposed to the first set of training examples, the soft-WTA
ThaCo excitatory network is at least endowed with the capability to behave as a nearest neigh-
bour classifier of the first order (Knn-1 classifier). 4.1 Winner-take-all mechanisms by combining context and perception Assuming that wcx!cx
0
wcx!cx
eq
, after learn-
ing we have: wcx!cx
l1;l2
¼ wcx!cx
eq
dl1;l2 þ wcx!cx
0
ð1 dl1;l2Þ wcx!cx
eq
dl1;l2
l1; l2 2 1; ::; L
ð7Þ ð7Þ Under the assumption that the activities of the K neurons belonging to the same subgroup
(l) are similar to each other, the second term in Eq 6 reduces to the recurrent intra-group excit-
atory contribution: Under the assumption that the activities of the K neurons belonging to the same subgroup
(l) are similar to each other, the second term in Eq 6 reduces to the recurrent intra-group excit-
atory contribution: g
ðSÞ
cx!cxðlÞ g
ðSÞ
cxðlÞ!cxðlÞ ¼ ðk 1Þ wcx!cx
eq
r
ðSÞ
ðlÞ
ð8Þ ð8Þ where r
ðSÞ
ðlÞ is the average firing rate reached by the cortical group l when activated by the novel
stimulus S. In our simplified mode, all wcx!inh and winh!cx synapses are non-plastic and set to an iden-
tical value. Therefore, the third term, the input signal from cortico-cortical inhibition, is in our
architecture equal to: g
ðSÞ
inh!cxðlÞ ¼ g
ðSÞ
inh!cx ¼ Ninh winh!cxr
ðSÞ
inh
ð9Þ ð9Þ where Ninh is the number of cortical inhibitory neurons and ρinh is the inhibitory neurons
activity. In summary, Eq 6, i.e. the total current stimulating each of the L groups of cortical neurons
responding to the thalamic stimulus S can be reformulated: g
ðSÞ
ðlÞ;tot
g
ðSÞ
ðlÞ;th!cx þ g
ðSÞ
cxðlÞ!cxðlÞ þ g
ðSÞ
inh!cx ¼
¼ wth!cx
eq
rthNðlÞNðSÞð1 1
2 d2
l;SÞ þ ðk 1Þ wcx!cx
eq
r
ðSÞ
ðlÞ þ Ninh winh!cxr
ðSÞ
inh
ð10Þ ð10Þ When the average rate is well below saturation, its relationship to the total input signal is well
described by a threshold-linear function: r
ðSÞ
ðlÞ ¼ aðg
ðSÞ
ðlÞ;tot gthreshÞHðg
ðSÞ
ðlÞ;tot gthreshÞ
ð11Þ ð11Þ where α is a constant coefficient, H is the Heaviside function and gthresh is the firing threshold. 4.1 Winner-take-all mechanisms by combining context and perception The winning candidate K among the L com-
peting cortical groups is initially suggested to the network as the one reached by the strongest
thalamic stimulus when presented with the never seen image S: ThaCo excitatory network is at least endowed with the capability to behave as a nearest neigh-
bour classifier of the first order (Knn-1 classifier). The winning candidate K among the L com-
peting cortical groups is initially suggested to the network as the one reached by the strongest
thalamic stimulus when presented with the never seen image S: initial candidate KðSÞ ¼ argl max½g
ðSÞ
ðlÞ;th!cx ¼ argl min½dl;S
for l 2 1; ::; L
ð5Þ ð5Þ Indeed, under the assumption that the neuron activity depends on the incoming signal (both
excitatory and inhibitory) through a transfer function FðgÞ monotonically increasing over the
total incoming current g, we will now show that: 1) the role of inhibition will be to help the
computation of (a soft) argmax; 2) the recurrent intra-group cortical excitation provides an
additional boost to the selection of the winner. To confirm this, we shall now consider explic-
itly the contribution of both recurrent and inhibitory contributions. The total average input
signal to each cortical neuron depends on the group l the neuron belongs to and on the the
stimulus S to be classified: g
ðSÞ
ðlÞ;tot ¼ g
ðSÞ
ðlÞ;th!cx þ g
ðSÞ
cx!cxðlÞ þ g inh!cxðlÞ
ð6Þ ð6Þ Under the approximation of constant ρth, the first term in Eq 6 is provided by Eq 3. 20 / 26 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles Concerning the second term, the training protocol illustrated by Fig 7 creates cortico-corti-
cal synapses of strength wcx!cx
eq
only among neurons belonging to the same group l, i.e among
neurons trained on the same example, while connections among neurons selective for different
training examples are left to the initial value wcx!cx
0
. 4.1 Winner-take-all mechanisms by combining context and perception Therefore, assuming that the input signal is above threshold (g
ðSÞ
ðlÞ;tot > gthresh), we have that g
ðSÞ
ðlÞ;tot ¼
wth!cx
eq
rthNðlÞNðSÞð1 1
2 d2
l;SÞ þ Ninh winh!cxr
ðSÞ
inh aðk 1Þ wcx!cx
eq
gthresh
1 aðk 1Þ wcx!cx
eq
ð12Þ ð12Þ we also require that aðk 1Þ wcx!cx
eq
< 1, i.e. self feedback should be smaller than one, other-
wise the system would become unstable. Considering that the inhibitory signal is equal for all L groups under the provisional
assumption of constant ρth, i.e. no cortico-thalamic feedback), Eq 12 tells us that the final
choice of the network would confirm the initial guess of Eq 5: winning KðSÞ ¼ argl max½g
ðSÞ
ðlÞ;tot ¼ argl min½dl;S
l 2 1; ::; L
ð13Þ ð13Þ i.e. the network tends to a stationary condition in which the L groups of K neurons can be
set at different firing rates that decrease with the distance dl,S. Moreover, the readout layer PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 21 / 26 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles combines signal coming from groups of cortical neurons trained over different examples yet
belonging to the same class: thus, the network expresses a behaviour similar to that of a a
higher-order Knn—n,. 5 Supporting information S1 Text. Mechanisms and implementation details. The reader can find in this section details
about the mechanisms in action in ThaCo during the Training and Classification phases (see
the ‘Training and classification phases’ and ‘Balanced mini-batch training’ paragraphs, specifi-
cally Fig A providing a comparison of incremental learning protocols) and details concerning
the implementation and effects of deep sleep dynamics (see ‘Sleep-like oscillatory dynamics’). The specific form of STDP plasticity is described in paragraph ‘Spike-Timing-Dependent Plas-
ticity’ (and depicted in Fig B showing the effects of deep-sleep on network performances) and
the neuronal model in ‘The neuron model’. Details about the handwritten digits datatsets are
presented in the ‘The datasets of handwritten characters’ paragraph, while paragraph ‘Tha-
lamic coding of visual stimuli’ describes the fuzzy-logic-inspired pre-processing algorithm,
adopted for a tuning of thalamic activity that preserves a notion of distance among visual fea-
tures. The ‘Salt-and-pepper noise’ paragraph is about the method used to add noise to images
during training and classification. Finally, the set of parameters needed to configure the spik-
ing model is provided in Table A, paragraph ‘Parameters of the spiking model’. (PDF) Acknowledgments We thank the artist Lorenzo PONT Pontani for cat drawing in Fig 1. References 1. Larkum M. A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex. Trends in Neurosciences. 2013; 36(3):141—151. Available from: http://www.sciencedirect.com/
science/article/pii/S0166223612002032. PMID: 23273272 2. Barone P, Batardiere A, Knoblauch K, Kennedy H. Laminar Distribution of Neurons in Extrastriate
Areas Projecting to Visual Areas V1 and V4 Correlates with the Hierarchical Rank and Indicates the
Operation of a Distance Rule. The Journal of neuroscience: the official journal of the Society for Neuro-
science. 2000 06; 20:3263–81. https://doi.org/10.1523/JNEUROSCI.20-09-03263.2000 PMID:
10777791 3. Wang XJ. Probabilistic Decision Making by Slow Reverberation in Cortical Circuits. Neuron. 2002; 36
(5):955—968. Available from: http://www.sciencedirect.com/science/article/pii/S0896627302010929. PMID: 12467598 4. Furman M, Wang XJ. Similarity Effect and Optimal Control of Multiple-Choice Decision Making. Neuron. 2008; 60(6):1153—1168. Available from: http://www.sciencedirect.com/science/article/pii/
S0896627308010490. PMID: 19109918 5. Walther D, Koch C. Modeling attention to salient proto-objects. Neural Networks. 2006; 19(9):1395—
1407. Brain and Attention. Available from: http://www.sciencedirect.com/science/article/pii/
S0893608006002152. PMID: 17098563 6. Wolfrum P. A Correspondence-Based Neural Model for Face Recognition. In: Heidelberg SB, editor. Information Routing, Correspondence Finding; 2010. p. 29–67. Available from: https://doi.org/10.1007/
978-3-642-15254-2_3. 7. Nessler B, Pfeiffer M, Buesing L, Maass W. Bayesian Computation Emerges in Generic Cortical Micro-
circuits through Spike-Timing-Dependent Plasticity. PLOS Computational Biology. 2013 04; 9(4):1–30. Available from: https://doi.org/10.1371/journal.pcbi.1003037. PMID: 23633941 8. Coultrip R, Granger R, Lynch G. A cortical model of winner-take-all competition via lateral inhibition. Neural Networks. 1992; 5(1):47—54. Available from: http://www.sciencedirect.com/science/article/pii/
S0893608005800061. 9. Maass W. On the Computational Power of Winner-Take-All. Neural Computation. 2000; 12(11):2519–
2535. Available from: https://doi.org/10.1162/089976600300014827. PMID: 11110125 10. Douglas RJ, Martin KAC. NEURONAL CIRCUITS OF THE NEOCORTEX. Annual Review of Neurosci-
ence. 2004; 27(1):419–451. Available from: https://doi.org/10.1146/annurev.neuro.27.070203.144152. PMID: 15217339 11. Rutishauser U, Douglas RJ, Slotine JJ. Collective Stability of Networks of Winner-Take-All Circuits. Neural Computation. 2011; 23(3):735–773. Available from: https://doi.org/10.1162/NECO_a_00091. PMID: 21162667 12. Jug F, Cook M, Steger A. Recurrent competitive networks can learn locally excitatory topologies. In:
The 2012 International Joint Conference on Neural Networks (IJCNN); 2012. p. 1–8. 13. Binas J, Rutishauser U, Indiveri G, Pfeiffer M. Learning and stabilization of winner-take-all dynamics
through interacting excitatory and inhibitory plasticity. Frontiers in Computational Neuroscience. 2014;
8:68. Available from: https://www.frontiersin.org/article/10.3389/fncom.2014.00068. PMID: 25071538 14. Gerstner W, Kempter R, van Hemmen JL, Wagner H. A neuronal learning rule for sub-millisecond tem-
poral coding. Nature. 1996 sep; 383(6595):76–78. Available from: https://doi.org/10.1038/383076a0. PMID: 8779718 15. Song S, Miller KD, Abbott LF. Competitive Hebbian learning through spike-timing-dependent synaptic
plasticity. Nature Neuroscience. Visualization: Chiara De Luca, Cristiano Capone. Visualization: Chiara De Luca, Cristiano Capone. Writing – original draft: Bruno Golosio, Chiara De Luca, Cristiano Capone, Elena Pastorelli,
Pier Stanislao Paolucci. Writing – original draft: Bruno Golosio, Chiara De Luca, Cristiano Capone, Elena Pastorelli,
Pier Stanislao Paolucci. Writing – review & editing: Bruno Golosio, Cristiano Capone, Elena Pastorelli, Giulia De
Bonis, Pier Stanislao Paolucci. Writing – review & editing: Bruno Golosio, Cristiano Capone, Elena Pastorelli, Giulia De
Bonis, Pier Stanislao Paolucci. Author Contributions Conceptualization: Bruno Golosio, Chiara De Luca, Cristiano Capone, Elena Pastorelli, Pier
Stanislao Paolucci. Data curation: Chiara De Luca, Elena Pastorelli. Formal analysis: Bruno Golosio, Chiara De Luca, Cristiano Capone, Giovanni Stegel, Giulia
De Bonis, Pier Stanislao Paolucci. Funding acquisition: Pier Stanislao Paolucci. Investigation: Bruno Golosio, Chiara De Luca, Cristiano Capone, Elena Pastorelli, Gianmarco
Tiddia, Pier Stanislao Paolucci. Methodology: Bruno Golosio, Chiara De Luca, Cristiano Capone, Giovanni Stegel, Pier Stani-
slao Paolucci. Project administration: Pier Stanislao Paolucci. Resources: Chiara De Luca, Elena Pastorelli. Software: Bruno Golosio, Chiara De Luca, Cristiano Capone, Elena Pastorelli, Gianmarco
Tiddia. Supervision: Chiara De Luca, Cristiano Capone, Elena Pastorelli, Giulia De Bonis, Pier Stani-
slao Paolucci. Validation: Chiara De Luca, Cristiano Capone, Elena Pastorelli. 22 / 26 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles References 2000 sep; 3(9):919–926. Available from: https://doi.org/10.1038/
78829. PMID: 10966623 16. Morrison A, Diesmann M, Gerstner W. Phenomenological models of synaptic plasticity based on spike
timing. Biological Cybernetics. 2008 Jun; 98(6):459–478. Available from: https://doi.org/10.1007/
s00422-008-0233-1. PMID: 18491160 23 / 26 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles 17. Sboev A, Vlasov D, Serenko A, Rybka R, Moloshnikov I. On the applicability of STDP-based learning
mechanisms to spiking neuron network models. AIP Advances. 2016; 6(11):111305. Available from:
https://doi.org/10.1063/1.4967353. 18. Levenstein D, Watson BO, Rinzel J, Buzsa´ki G. Sleep regulation of the distribution of cortical firing
rates. Current Opinion in Neurobiology. 2017; 44:34–42. Neurobiology of Sleep. Available from: https://
www.sciencedirect.com/science/article/pii/S0959438816301933. PMID: 28288386 19. Chen Y, Mckinstry J, Edelman G. Versatile networks of simulated spiking neurons displaying winner-
take-all behavior. Frontiers in Computational Neuroscience. 2013; 7:16. Available from: https://www. frontiersin.org/article/10.3389/fncom.2013.00016. PMID: 23515493 20. Walker MP, Stickgold R. Sleep, Memory, and Plasticity. Annual Review of Psychology. 2006; 57
(1):139–166. Available from: https://doi.org/10.1146/annurev.psych.56.091103.07007. PMID:
16318592 21. Jadhav SP, Kemere C, German PW, Frank LM. Awake Hippocampal Sharp-Wave Ripples Support
Spatial Memory. Science. 2012; 336(6087):1454–1458. Available from: https://science.sciencemag. org/content/336/6087/1454. PMID: 22555434 22. Killgore WDS. Effects of sleep deprivation on cognition. vol. 185 of Progress in Brain Research. Else-
vier; 2010. p. 105–129. Available from: http://www.sciencedirect.com/science/article/pii/
B9780444537027000075. 23. Buzsa´ki G. Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning. Hippocampus. 2015; 25(10):1073–1188. Available from: https://onlinelibrary.wiley.com/doi/abs/10. 1002/hipo.22488. PMID: 26135716 24. Tononi G, Cirelli C. Sleep and the Price of Plasticity: From Synaptic and Cellular Homeostasis to Mem-
ory Consolidation and Integration. Neuron. 2014; 81(1):12—34. Available from: http://www. sciencedirect.com/science/article/pii/S0896627313011860. PMID: 24411729 25. Watson BO, Levenstein D, Greene JP, Gelinas JN, Buzsa´ki G. Network Homeostasis and State
Dynamics of Neocortical Sleep. Neuron. 2016; 90(4):839—852. Available from: http://www. sciencedirect.com/science/article/pii/S0896627316300563. PMID: 27133462 26. Smulders FTY, Kenemans JL, Jonkman LM, Kok A. The effects of sleep loss on task performance and
the electroencephalogram in young and elderly subjects. Biological Psychology. 1997; 45(1):217—239. Mental Resources: Intensive and Selective Aspects. Available from: http://www.sciencedirect.com/
science/article/pii/S0301051196052295. PMID: 9083651 27. Capone C, Pastorelli E, Golosio B, Paolucci PS. Sleep-like slow oscillations improve visual classification
through synaptic homeostasis and memory association in a thalamo-cortical model. Scientific Reports. 2019 June; 9:8990. Available from: https://https://www.nature.com/articles/s41598-019-45525-0. PMID: 31222151 28. Goldman JS, Tort-Colet N, di Volo M, Susin E, Boute´ J, Dali M, et al. References Bridging Single Neuron Dynamics
to Global Brain States. Frontiers in Systems Neuroscience. 2019; 13:75. Available from: https://www. frontiersin.org/article/10.3389/fnsys.2019.00075. PMID: 31866837 29. Vul E., Goodman N., Griffiths T.L. and Tenenbaum J.B. One and Done? Optimal Decisions From Very
Few Samples. Cognitive Science. 2014 jan; 38(4):599–637. Available from: https://onlinelibrary.wiley. com/doi/full/10.1111/cogs.12101. PMID: 24467492 30. Read J, Bifet A, Pfahringer B, Holmes G. Batch-Incremental versus Instance-Incremental Learning in
Dynamic and Evolving Data . In: Advances in Intelligent Data Analysis XI. Springer Berlin Heidelberg;
2012. p. 313–323. Available from: https://doi.org/10.1007/978-3-642-34156-4_29. 31. Lomonaco V, Maltoni D. CORe50: a New Dataset and Benchmark for Continuous Object Recognition. In: Levine S, Vanhoucke V, Goldberg K, editors. Proceedings of the 1st Annual Conference on Robot
Learning. vol. 78 of Proceedings of Machine Learning Research. PMLR; 2017. p. 17–26. Available
from: http://proceedings.mlr.press/v78/lomonaco17a.html. 32. Shimizu R, Asako K, Ojima H, Morinaga S, Hamada M, Kuroda T. Balanced Mini-Batch Training for
Imbalanced Image Data Classification with Neural Network. In: 2018 First International Conference on
Artificial Intelligence for Industries (AI4I); 2018. p. 27–30. 33. Cover T, Hart P. Nearest neighbor pattern classification. IEEE Transactions on Information Theory. 1967 January; 13(1):21–27. https://doi.org/10.1109/TIT.1967.1053964 34. Gigante G, Mattia M, Giudice PD. Diverse Population-Bursting Modes of Adapting Spiking Neurons. Phys Rev Lett. 2007 Apr; 98:148101. Available from: https://link.aps.org/doi/10.1103/PhysRevLett.98. 148101. PMID: 17501315 35. Capone C, Rebollo B, Muñoz A, Illa X, Del Giudice P, Sanchez-Vives MV, et al. Slow Waves in Cortical
Slices: How Spontaneous Activity is Shaped by Laminar Structure. Cerebral Cortex. 2017 11; 29
(1):319–335. Available from: https://doi.org/10.1093/cercor/bhx326. 24 / 26 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles 36. Gu¨tig R, Aharonov R, Rotter S, Sompolinsky H. Learning Input Correlations through Nonlinear Tempo-
rally Asymmetric Hebbian Plasticity. Journal of Neuroscience. 2003; 23(9):3697–3714. Available from:
https://www.jneurosci.org/content/23/9/3697. PMID: 12736341 37. Hobson JA, Pace-Schott EF. The cognitive neuroscience of sleep: neuronal systems, consciousness
and learning. Nature Reviews Neuroscience. 2002; 3(9):679–693. https://doi.org/10.1038/nrn915
PMID: 12209117 38. Tort-Colet N, Capone C, Sanchez-Vives MV, Mattia M. Attractor competition enriches cortical dynamics
during awakening from anesthesia. bioRxiv. 2019; Available from: https://www.biorxiv.org/content/
early/2019/01/10/517102. 39. Roxin A, Brunel N, Hansel D, Mongillo G, van Vreeswijk C. On the Distribution of Firing Rates in Net-
works of Cortical Neurons. Journal of Neuroscience. 2011; 31(45):16217–16226. Available from:
https://www.jneurosci.org/content/31/45/16217. PMID: 22072673 40. Charles B. 4.5—Image Noise Models. In: BOVIK A, editor. References Handbook of Image and Video Processing
(Second Edition). second edition ed. Communications, Networking and Multimedia. Burlington: Aca-
demic Press; 2005. p. 397—409. Available from: http://www.sciencedirect.com/science/article/pii/
B9780121197926500875. 41. Diehl P, Cook M. Unsupervised learning of digit recognition using spike-timing-dependent plasticity. Frontiers in Computational Neuroscience. 2015; 9:99. Available from: https://www.frontiersin.org/
article/10.3389/fncom.2015.00099. PMID: 26941637 42. Mozafari M, Ganjtabesh M, Nowzari-Dalini A, Thorpe SJ, Masquelier T. Bio-inspired digit recognition
using reward-modulated spike-timing-dependent plasticity in deep convolutional networks. Pattern Rec-
ognition. 2019; 94:87—95. Available from: http://www.sciencedirect.com/science/article/pii/
S0031320319301906. 43. Bagheri A, Simeone O, Rajendran B. Training Probabilistic Spiking Neural Networks with First- To-
Spike Decoding. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP); 2018. p. 2986–2990. 44. Muratore P, Capone C, Paolucci PS. Target spike patterns enable efficient and biologically plausible
learning for complex temporal tasks. PLOS ONE. 2021 02; 16(2):1–22. Available from: https://doi.org/
10.1371/journal.pone.0247014. 45. Ingrosso A, Abbott L. Training dynamically balanced excitatory-inhibitory networks. PloS one. 2019; 14
(8). https://doi.org/10.1371/journal.pone.0220547 PMID: 31393909 46. Walker MP, Stickgold R. Sleep-Dependent Learning and Memory Consolidation. Neuron. 2004
2020/03/20; 44(1):121–133. Available from: https://doi.org/10.1016/j.neuron.2004.08.031. PMID:
15450165 47. Diekelmann S, Born J. The memory function of sleep. Nature Reviews Neuroscience. 2010; 11(2):114–
126. Available from: https://doi.org/10.1038/nrn2762. PMID: 20046194 48. Wei Y, Krishnan GP, Komarov M, Bazhenov M. Differential roles of sleep spindles and sleep slow oscil-
lations in memory consolidation. PLOS Computational Biology. 2018 07; 14(7):1–32. Available from:
https://doi.org/10.1371/journal.pcbi.1006322. PMID: 29985966 49. Wei Y, Krishnan GP, Marshall L, Martinetz T, Bazhenov M. Stimulation Augments Spike Sequence
Replay and Memory Consolidation during Slow-Wave Sleep. Journal of Neuroscience. 2020; 40
(4):811–824. Available from: https://www.jneurosci.org/content/40/4/811. PMID: 31792151 50. Fachechi A, Agliari E, Barra A. Dreaming neural networks: Forgetting spurious memories and reinforc-
ing pure ones. Neural Networks. 2019; 112:24—40. Available from: http://www.sciencedirect.com/
science/article/pii/S0893608019300176. PMID: 30735914 51. Tononi G, Cirelli C. Sleep and synaptic down-selection. European Journal of Neuroscience. 2020; 51
(1):413–421. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/ejn.14335. PMID:
30614089 52. Sanchez-Vives MV, Massimini M, Mattia M. Shaping the default activity pattern of the cortical network. Neuron. 2017; 94(5):993–1001. https://doi.org/10.1016/j.neuron.2017.05.015 PMID: 28595056 53. De Bonis G, Dasilva M, Pazienti A, Sanchez-Vives MV, Mattia M, Paolucci PS. Analysis Pipeline
for Extracting Features of Cortical Slow Oscillations. Frontiers in Systems Neuroscience. 2019;
13:70. Available from: https://www.frontiersin.org/article/10.3389/fnsys.2019.00070. PMID:
31824271 54. Celotto M, De Luca C, Muratore P, Resta F, Allegra Mascaro AL, Pavone FS, et al. Analysis and Model
of Cortical Slow Waves Acquired with Optical Techniques. Cortical Model With Long-Range Interconnections. Frontiers in Systems Neuroscience. 2019; 13:33.
Available from: https://www.frontiersin.org/article/10.3389/fnsys.2019.00033. PMID: 31396058
56.
Kunkel S, Morrison A, Weidel P, Eppler JM, Sinha A, Schenck W, et al. NEST 2.12.0. Zenodo; 2017.
Available from: https://doi.org/10.5281/zenodo.259534. PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 Thalamo-cortical spiking model of incremental learning/sleep cycles 56.
Kunkel S, Morrison A, Weidel P, Eppler JM, Sinha A, Schenck W, et al. NEST 2.12.0. Zenodo; 2017.
Available from: https://doi.org/10.5281/zenodo.259534. Cortical Model With Long-Range Interconnections. Frontiers in Systems Neuroscience. 2019; 13:33.
Available from: https://www.frontiersin.org/article/10.3389/fnsys.2019.00033. PMID: 31396058 References Methods and Protocols. 2020; 3(1). Available
from: https://www.mdpi.com/2409-9279/3/1/14. PMID: 32023996 55. Pastorelli E, Capone C, Simula F, Sanchez-Vives MV, Del Giudice P, Mattia M, et al. Scaling of a
Large-Scale Simulation of Synchronous Slow-Wave and Asynchronous Awake-Like Activity of a 25 / 26 PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1009045
June 28, 2021 PLOS COMPUTATIONAL BIOLOGY Thalamo-cortical spiking model of incremental learning/sleep cycles 26 / 26
|
https://openalex.org/W4221136009
|
http://cds.cern.ch/record/2789647/files/Fulltext from publisher.pdf
|
English
| null |
Prospects in the search for a new light <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msup><mml:mrow><mml:mi>Z</mml:mi></mml:mrow><mml:mrow><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math> boson with the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>NA</mml:mi><mml:mrow><mml:mn>64</mml:mn><mml:mi>μ</mml:mi></mml:mrow></mml:mrow></mml:math> experiment at the CERN SPS
|
Physical review. D/Physical review. D.
| 2,022
|
cc-by
| 8,734
|
Prospects in the search for a new light Z0 boson with the NA64μ experiment
at the CERN SPS H. Sieber ,1 D. Banerjee ,2 P. Crivelli ,1 E. Depero ,1 S. N. Gninenko ,3 D. V. Kirpichnikov ,3 M. M. Kirsanov
V. Poliakov ,4 and L. Molina Bueno
1,5,*
1ETH Zürich, Institute for Particle Physics and Astrophysics, CH-8093 Zürich, Switzerland
2CERN, European Organization for Nuclear Research, CH-1211 Geneva, Switzerland
3Institute for Nuclear Research of the Russian Academy of Sciences, 117312 Moscow, Russia
4State Scientific Center of the Russian Federation Institute for High Energy Physics of National Research
Center Kurchatov Institute (IHEP), 142281 Protvino, Russia
5CSIC—Universitat de Val`encia, Instituto de Física Corpuscular (IFIC), E-46980 Paterna, Spain
(Received 4 November 2021; accepted 31 January 2022; published 22 March 2022) Banerjee ,2 P. Crivelli ,1 E. Depero ,1 S. N. Gninenko ,3 D. V. Kirpichnikov ,3 M. M. Kirs
V. Poliakov ,4 and L. Molina Bueno
1,5,* (Received 4 November 2021; accepted 31 January 2022; published 22 March 2022) A light Z0 vector boson coupled to the second and third lepton generations through the Lμ −Lτ current
with mass below 200 MeV provides a very viable explanation in terms of new physics to the recently
confirmed ðg −2Þμ anomaly. This boson can be produced in the bremsstrahlung reaction μN →μNZ0 after
a high energy muon beam collides with a target. NA64μ is a fixed-target experiment using a 160 GeV muon
beam from the CERN Super Proton Synchrotron accelerator looking for Z0 production and its subsequent A light Z0 vector boson coupled to the second and third lepton generations through the Lμ −Lτ current
with mass below 200 MeV provides a very viable explanation in terms of new physics to the recently
confirmed ðg −2Þμ anomaly. This boson can be produced in the bremsstrahlung reaction μN →μNZ0 after
a high energy muon beam collides with a target. NA64μ is a fixed-target experiment using a 160 GeV muon
beam from the CERN Super Proton Synchrotron accelerator looking for Z0 production and its subsequent
decays, Z0 →invisible. In this paper, we present the study of the NA64μ sensitivity to search for such a
boson. This includes a realistic beam simulation, a detailed description of the detectors and a discussion μ
with mass below 200 MeV provides a very viable explanation in terms of new physics to the recently
confirmed ðg −2Þμ anomaly. This boson can be produced in the bremsstrahlung reaction μN →μNZ0 after
a high energy muon beam collides with a target. Prospects in the search for a new light Z0 boson with the NA64μ experiment
at the CERN SPS NA64μ is a fixed-target experiment using a 160 GeV muon
beam from the CERN Super Proton Synchrotron accelerator looking for Z0 production and its subsequent
decays, Z0 →invisible. In this paper, we present the study of the NA64μ sensitivity to search for such a
boson. This includes a realistic beam simulation, a detailed description of the detectors and a discussion
about the main potential background sources. A pilot run is scheduled in order to validate the simulation
results. If those are confirmed, NA64μ will be able to explore all the remaining parameter space which
could provide an explanation for the g −2 muon anomaly in the Lμ −Lτ model. *Corresponding author.
laura.molina.bueno@cern.ch Published by the American Physical Society under the terms of
the Creative Commons Attribution 4.0 International license.
Further distribution of this work must maintain attribution to
the author(s) and the published article’s title, journal citation,
and DOI. Funded by SCOAP3. PHYSICAL REVIEW D 105, 052006 (2022) PHYSICAL REVIEW D 105, 052006 (2022) DOI: 10.1103/PhysRevD.105.052006 2006-1
Published by the American Physical Society I. INTRODUCTION ð5Þ It is worth noting that adding to the minimal Uð1ÞLμ−Lτ
gauge extension of the SM a dark current interaction of the
type L ⊃Z0αJDM
α
makes it possible to also probe light
thermal dark matter and the dark matter (DM) relic abun-
dance (see e.g., Ref. [37,38]). It is worth noting that adding to the minimal Uð1ÞLμ−Lτ
gauge extension of the SM a dark current interaction of the
type L ⊃Z0αJDM
α
makes it possible to also probe light
thermal dark matter and the dark matter (DM) relic abun-
dance (see e.g., Ref. [37,38]). p
The experimental setup for the feasibility studies to
look for a light Z0 boson is sketched in Fig. 1. The
experiment will use the high-energy M2 muon beam at
the CERN SPS [39,46] with momentum ≃160 GeV=c
produced by a 450 GeV=c primary proton beam (intensity
1012–1013 protons=spill). Within this context, muons are
dumped against an active target, which is a 40 radiation
lengths (40X0) lead-scintillator sandwich electromagnetic
calorimeter (ECAL), with a 6 × 5 cell matrix structure. While the scattered muon carries away a fraction E0μ ¼ fEμ
of the primary muon energy Eμ, the other fraction of the
energy, ð1 −fÞEμ, is carried away by the bremsstrahlung
dark boson Z0 and its decay products resulting in missing
energy Emiss ¼ Eμ −E0μ. The subdetectors downstream of
the target include, in particular, a five interaction lengths
(5λI) copper-scintillator veto calorimeter (VHCAL) seg-
mented with a 4 × 4 matrix of cells and a hole in the
middle, to veto charged secondaries produced by upstream
muon nuclear interactions. Then, a series of two large
120 × 60 cm2 (6 × 3 matrix) hadronic calorimeter (HCAL)
modules, with a 7.5λI steel-scintillator longitudinal seg-
mentation, ensure maximal hermeticity. The experiment
will use two magnet spectrometers in order to reconstruct
the incoming and outgoing muon momentum. The initial
muon beam momentum will be measured by the existing
beam momentum stations (BMS) from the COMPASS
experiment [47]. A set of micromesh gaseous structure
(Micromegas or MM) tracking detectors will be located
next to the stations to have a second measurement of the
incoming momentum. The scattered muon momentum is
reconstructed through a second MBPL magnetic spectrom-
eter (a single dipole magnet with 1.4 T · m, MS2) with a set
of six Micromegas tracking detectors. I. INTRODUCTION mZ0 ≤Oð1 GeVÞ, and interacts to the second and third
generations of leptons through The recently confirmed 4.2σ deviation of the muon
magnetic moment [1] with respect to its Standard Model
(SM) prediction [2–22] might be an indication of physics
beyond the SM: ð2Þ L ¼ g0ð¯μγαμ þ ¯νμγανμ −¯τγατ þ ¯ντγαντÞZ0α;
ð2Þ where Z0α is the leptophilic boson field and g0 is its coupling
to SM leptons. Within this model, the Z0 contribution to the
muon vertex function, and thus the muon ðg −2Þμ, is
calculated at one loop [36]: Δaμ ≡aμðexpÞ −aμðthÞ ¼ ð251 59Þ × 10−11:
ð1Þ Interactions between muons and new physics sectors have
been suggested in many models [23–26]. In particular,
models with Uð1Þ gauge extension to the SM are well
motivated since they are anomaly free and provide an
explanation to the ðg −2Þμ anomaly through a loop con-
tribution to the muonvertex function [27–32]. In the Lμ −Lτ
model, with SM gauge extension SUð3Þc ⊗SUð2ÞL ⊗
Uð1ÞY ⊗Uð1ÞLμ−Lτ [30,33–35], the massive gauge vector
boson Z0 acquires its mass through symmetry breaking, ΔaZ0
μ ¼ g02
4π2
Z 1
0
dx
x2ð1 −xÞ
x2 þ ð1 −xÞm2
Z0=m2μ
:
ð3Þ ð3Þ The Z0 vector boson decays invisibly to SM neutrinos in the
case mZ0 < 2mμ, with decay width ΓðZ0 →¯νfνfÞ ¼ αμmZ0
3
;
ð4Þ ð4Þ *Corresponding author. laura.molina.bueno@cern.ch Published by the American Physical Society under the terms of
the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to
the author(s) and the published article’s title, journal citation,
and DOI. Funded by SCOAP3. where f ¼ μ, τ, and αμ ¼ g02=4π. For larger Z0 masses,
namely mZ0 ≥2mμ, the gauge boson also decays visibly to
one of the charged components of the SUð2ÞL lepton
doublets, Lμ, Lτ, with partial decay width: 52006-1
Published by the American Physical Society 052006-1
Published by the American Physical Society 2470-0010=2022=105(5)=052006(9) 052006-1 Published by the American Physical Society 052006-1 PHYS. REV. D 105, 052006 (2022) H. SIEBER et al. ΓðZ0 →¯ffÞ ¼ αμmZ0
3
·
1 þ
2m2
f
m2
Z0
·
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
1 −
4m2
f
m2
Z0
s
: ð5Þ particles [44] and could also be used to test lepton flavor
violation in μN →τX conversion in flight [45]. A second
phase of the experiment will be devoted to exploring these
processes [37]. I. INTRODUCTION The Z0 vector boson can be produced through muon
bremsstrahlung μN →μNZ0 after a high energy muon
beam impinges on a target. Within this context, the
NA64μ experiment [37] has been designed to search for
Z0 production and its subsequent invisible decay using the
160 GeV M2 beam line at the CERN Super Proton
Synchrotron (SPS) accelerator [39]. Detailed computations
of the differential and total cross sections for this process
have been recently performed in Ref. [40]. Another experi-
ment, M3, with a similar working principle, has been
proposed at Fermilab [38]. A pilot run of the NA64μ
experiment is planned in the fall of 2021 to study the
feasibility of the technique. In this paper, we discuss the
experiment prospects in terms of the main background
sources and the expected trigger rate. We also study the
projected sensitivities for future physics runs to allow to
probe the region of parameter space suggested by the
ðg −2Þμ anomaly in the context of current and future
searches. II. THE METHOD OF SEARCH The NA64μ experiment [37] is a complementary experi-
ment to NA64e [41,42] aiming to look for dark sectors
weakly coupled to muons. The experiment is foreseen in
two phases. Its first phase physics goal is to search for
invisible decays of the Z0 boson, produced in the muon
scattering process μ−N →μ−NZ0. Additionally, similarly
to the electron mode, the experiment also explores the
production of dark photons, A0, through the bremsstrahlung
μ−N →μ−NA0, allowing to enlarge the parameter space
of interest towards large masses [43]. NA64μ can also
probe scalar, axionlike particles (ALPs), millicharged A signal event, i.e., the production of a Z0 boson, is
defined as a scattered muon after the target with momentum
about half of the beam nominal energy, i.e., E0μ ≲0.5E0 ≃
80 GeV (see Fig. 1). The muon missing momentum will be FIG. 1. Schematic top view of the 2021 muon pilot run experimental setup to search for Z0 →invisible production from 160 GeV=c
muon bremsstrahlung. The dash-dotted line corresponds to the path of a deflected muon after the Z0 bremsstrahlung. FIG. 1. Schematic top view of the 2021 muon pilot run experimental setup to search for Z0 →invisible production from 160 GeV=c
muon bremsstrahlung. The dash-dotted line corresponds to the path of a deflected muon after the Z0 bremsstrahlung. 052006-2 PROSPECTS IN THE SEARCH FOR A NEW LIGHT … PHYS. REV. D 105, 052006 (2022) 3
−
10
2
−
10
1
−
10
1
[GeV]
Z'
m
0
0.1
0.2
0.3
0.4
Trigger efficiency
Beam energy
160 GeV
100 GeV
FIG. 2. Trigger efficiency as a function of the Z0 vector boson
mass. The beam nominal energy is both (blue) 160 GeV and
(green) 100 GeV, for which the scattered muon deflection is
larger. 3
−
10
2
−
10
1
−
10
1
[GeV]
Z'
m
0
0.1
0.2
0.3
0.4
Trigger efficiency
Beam energy
160 GeV
100 GeV To further suppress background coming from SM events,
a set of selection criteria (cuts) is applied as follows: (i) an
initial beam momentum reconstructed in the energy win-
dow [140, 180] GeV; (ii) a single track in the tracking
detectors with reconstructed momentum smaller than half
of the beam energy; (iii) no energy deposit in the VHCAL;
and (iv) no energy deposit in the HCAL modules [i.e.,
compatible with the one of a minimum ionizing particle
(MIP)]. III. SIMULATIONS FRAMEWORK An additional counter in front of the
HCAL, S4, shifted from the beam axis guarantees that only
muons with enough deflection hit this counter. The signal
efficiency for different Z0 masses at this trigger level is
illustrated in Fig. 2. A set of veto counters, before the
HCAL modules (V1), and within MS2 (Vm1;2), are used to
further veto undeflected beam muons and veto charged
secondaries produced in upstream interactions. The trigger
rate after this selection is 0.1% of the primary beam
intensity. A. The beam profile at M2 location Because of the importance of an accurate knowledge
of the initial muon momentum and beam spatial distribu-
tion for the trigger criteria, the M2 beam line optics is
fully simulated using the TRANSPORT [50], TURTLE [51]
and HALO [52] software [46] and made compatible with
GEANT4 through the HEPMC software [53]. This yields
realistic beam profiles as shown in Fig. 3. Simulations
reproduce the large contribution of low-energy halo
muons around the beam spot (about 20% of the full beam
intensity [37]) that are populating the low-energy tail of the
beam energy distribution. Such muons can be efficiently
removed using the beam-defining counters S0 and S1,
leaving 78% of the full beam intensity, with muons energy
≥100 GeV, with beam spot divergency σx ∼0.9 cm and
σy ∼1.9 cm. B. Signal III. SIMULATIONS FRAMEWORK Detailed Monte Carlo (MC) simulations are performed
using the GEANT4 toolkit [48] and the GEANT4-compatible
DM package DMG4 [49] aiming at realistically reproducing
the beam line, detectors and physics, as well as estimating
the background and signal topology within the setup. FIG. 2. Trigger efficiency as a function of the Z0 vector boson
mass. The beam nominal energy is both (blue) 160 GeV and
(green) 100 GeV, for which the scattered muon deflection is
larger. used to keep the trigger rate at the required level. Using the
deflection of the scattered muon in the transverse plane,
a simplified trigger system has been considered for the
initial phase to run the experiment at the low beam intensity
of 107 μ=spill. This trigger option is based on the selection
of the well-defined primary muon beam within a small
beam lateral size and divergency, and momentum spread
by using scintillator counters, the BMS stations and the
trackers next to it. The initial muon is tagged with a set of
three counters, two of them before the target (S0 and S1),
and one ensuring the presence of the muon at the end
of the setup (Sμ). An additional counter in front of the
HCAL, S4, shifted from the beam axis guarantees that only
muons with enough deflection hit this counter. The signal
efficiency for different Z0 masses at this trigger level is
illustrated in Fig. 2. A set of veto counters, before the
HCAL modules (V1), and within MS2 (Vm1;2), are used to
further veto undeflected beam muons and veto charged
secondaries produced in upstream interactions. The trigger
rate after this selection is 0.1% of the primary beam
intensity. used to keep the trigger rate at the required level. Using the
deflection of the scattered muon in the transverse plane,
a simplified trigger system has been considered for the
initial phase to run the experiment at the low beam intensity
of 107 μ=spill. This trigger option is based on the selection
of the well-defined primary muon beam within a small
beam lateral size and divergency, and momentum spread
by using scintillator counters, the BMS stations and the
trackers next to it. The initial muon is tagged with a set of
three counters, two of them before the target (S0 and S1),
and one ensuring the presence of the muon at the end
of the setup (Sμ). B. Signal This result
is obtained assuming that in particular selection criterium
(ii) holds, i.e., a single hit per tracking detectors. In the case
of more than one hit per tracker, the Micromegas detector
inefficiency should be taken into account. An example of
such physics processes is highly energetic secondaries
produced by muons in the tracker material through ioniza-
tion, μe →μe, accompanied by a poorly detected parent
muon, and thus yielding a reconstructed momentum with
energy <100 GeV. The probability for such an event to
happen is estimated from the full sample of simulated
muons, taking into account the values for Micromegas
trackers
inefficiency
(∼0.02)
extracted
by
previous
NA64e run data, and assuming that in the second tracker
downstream MS2 there is more than one hit. From the
simulations, a conservative value of ≤10−11 per MOT is
obtained, and can be further reduced by placing additional
n trackers downstream, with a factor ∼0.02n. FIG. 4. Normalized energy spectra of the Z0 vector boson for
different masses obtained from GEANT4 [48] using the DMG4 [49]
package. The mixing strength is ϵ ¼ g0=
ffiffiffiffiffiffiffiffi
4πα
p
¼ 10−4, where
α ¼ 1=137. See Ref. [40] for more details. the Z0 vector boson is simulated using the fully GEANT4-
compatible DMG4 package [49]. Dark matter observables,
such as the total cross-section production and the differ-
ential cross sections are correspondingly implemented
according to the Weiszäcker-Williams (WW) phase-space
approximation as discussed in Ref. [40]. The program
selects an event where the Z0 production should occur
according to the total cross section, and then both its
fractional energy, x, and emission angle, θ, are accurately
sampled using a Von-Neumann accept-reject sampling
algorithm. The typical energy spectra of a Z0-strahlung
vector boson is shown in Fig. 4 for the mass range 10 MeV
to 1 GeV. In the case of NA64μ, the level of hermeticity of the
detectors is inferred in the plane defined by the muon
energy after ECAL and the total energy deposited in the
calorimeter (ECAL, VHCAL and HCAL), ðE0μ; ECALÞ, as
shown in Fig. 5. Whereas region A corresponds to events
with large energy deposit in the HCAL and the diagonal B
to events with energy deposited in the ECAL, the bulk C is
associated to events with energy deposition in the calo-
rimeters compatible with a MIP. B. Signal To estimate both the signal yield and signal topology,
and thus the
choice of adequate
selection criteria, 1000
−
500
−
0
500
1000
x [mm]
1000
−
500
−
0
500
1000
y [mm]
1
10
2
10
3
10
4
10
0
50
100
150
200
Beam energy [GeV]
1
10
2
10
3
10
4
10
5
10
6
10
Normalised entries / 1 GeV
Trigger
none
μ
+S
1
+S
0
S
FIG. 3. Beam profiles at the entrance of the NA64μ setup as obtained through the TRANSPORT [50], TURTLE [51] and HALO [52]
software [46] for (left) beam spatial distribution and (right) beam energy spectrum with no trigger (blue) and (green) trigger
S0 þ S1 þ Sμ. 1000
−
500
−
0
500
1000
x [mm]
1000
−
500
−
0
500
1000
y [mm]
1
10
2
10
3
10
4
10 0
50
100
150
200
Beam energy [GeV]
1
10
2
10
3
10
4
10
5
10
6
10
Normalised entries / 1 GeV
Trigger
none
μ
+S
1
+S
0
S FIG. 3. Beam profiles at the entrance of the NA64μ setup as obtained through the TRANSPORT [50], TURTLE [51] and HALO [52]
software [46] for (left) beam spatial distribution and (right) beam energy spectrum with no trigger (blue) and (green) trigger
S0 þ S1 þ Sμ. 052006-3 PHYS. REV. D 105, 052006 (2022) H. SIEBER et al. 0
0.2
0.4
0.6
0.8
1
x
10
2
10
3
10
Normalised dN/dx / 0.01
in MeV
Z'
m
10
100
500
1000
FIG. 4. Normalized energy spectra of the Z0 vector boson for
different masses obtained from GEANT4 [48] using the DMG4 [49]
package. The mixing strength is ϵ ¼ g0=
ffiffiffiffiffiffiffiffi
4πα
p
¼ 10−4, where
α ¼ 1=137. See Ref. [40] for more details. 0
0.2
0.4
0.6
0.8
1
x
10
2
10
3
10
Normalised dN/dx / 0.01
in MeV
Z'
m
10
100
500
1000 precision
on
momentum
reconstruction
is
estimated
using the Kalman-filter-based GENFIT toolkit [54] to be
Δp=p ∼3%. The mismeasurement, and thus misidentifi-
cation between Z0-strahlung and SM muons, is extracted
from the exponential tails of the momentum residuals
distribution. Through extrapolation, the probability of a
160 GeV SM muon to be reconstructed with momentum
≤80 GeV is ≲10−12 per muon on target (MOT). B. Signal Thus a high level of
hermeticity is reached for all events lying within those
three regions. On the other side, poor detector hermeticity
due to geometrical acceptance or dead material can lead to
events with large missing energy, and thus leakage
towards the signal box defined in the region D (red box)
of Fig. 5 ðECAL ≤20 GeV; E0μ ≤80 GeVÞ. From the
distribution extrapolation in the plane ðE0μ; ECALÞ, the
probability of leakage in region D due to non-hermeticity
(i.e., detector acceptance) is estimated to be ≲10−12
per MOT. C. Background Missing energy/momentum experiments such as NA64μ
rely not only on a robust detector hermeticity in order to
avoid events with large missing energy appearing because
some particles escaped detection due to acceptance, but
also on a precise momentum reconstruction. Many proc-
esses, such as hard muon nuclear interactions in the ECAL,
hadron admixture in the M2 beam line, or mismatch in
momentum reconstruction, can affect the likelihood to truly
observe a Z0-strahlung process. In the following para-
graphs, the full study of those main background contribu-
tions is covered, being carried out through detailed MC
simulations. Muons usually behave as MIPs, thus most of them
traverse
the
whole
setup
with
nominal
momentum
∼160 GeV=c, with small energy deposit in the calorimeters
(EECAL ∼0.5 GeV, EHCAL ∼2.3 GeV). On the opposite,
scattered muons accompanied by Z0 emission are identified
with energy E0μ ≤0.5E0 ≃80 GeV. Accurate momentum
reconstruction thus allows to discriminate between possible
signal candidates and SM muon events. The muon momen-
tum is reconstructed both upstream of the target and
downstream of the ECAL through a series of magnetic
spectrometers. To account for multiple scattering (material)
effects
as
well as
tracking detector resolution,
the Apart from geometrical properties of the detectors, and
thus acceptance, two main sources of physical background
contribute to events with large missing energy. The first one
arises from hadron admixture in the M2 beam line,
typically charged and neutral hadrons, such as π−, K−
and K0
LðsÞ, and their subsequent (semi)leptonic decays
along the setup. The level of contamination is measured
with a set of beryllium absorbers in the beam line, and
found to be Ph ¼ π=μ ∼10−6, with K=π ∼0.03 [39]. To
estimate the hadron decay probability, Ph→X, and the 052006-4 PROSPECTS IN THE SEARCH FOR A NEW LIGHT … PHYS. REV. D 105, 052006 (2022) 0
50
100
150
200
' [GeV]
μ
Reconstructed muon energy E
0
50
100
150
200
[GeV]
CAL
Sum of energy deposited E
1
10
2
10
3
10
4
10
5
10
A)
B)
C)
D)
0
50
100
150
200
' [GeV]
μ
Reconstructed muon energy E
0
50
100
150
200
[GeV]
CAL
Sum of energy deposited E
1
10
2
10
FIG. 5. C. Background The total number of simulated muons corresponds to
NMOT ¼ 108. Whereas region A, B and C correspond to regions
compatible with SM-related energy deposit, region D defines the
interesting parameter space compatible with Z0-strahlung events
(see text). related level of background, hadrons are simulated at
the end of the COMPASS BMS to account for particle
misidentification through momentum reconstruction. From
MC simulations, along the typical distance to the active
target of ∼36 m, it is found that PK−→X ∼Oð10−3Þ,
whereas Pπ−;K0
L→X ∼Oð10−4Þ. Thus, the total number
of decay hadrons before the entrance of the setup is
estimated through Nh→X ¼ NMOT × Ph × Ph→X, which is
∼Oð10−10–10−11Þ per MOT. From those in-flight decays,
background is associated to events with final state muons in
the decay products, namely h →μ−X, where X is mostly
associated to a neutrino in the case of π−and K−,
susceptible to carry away a large fraction of its parent
hadron energy, thus mimicking a Z0-strahlung event with
missing energy. For such a distance, the probability of
kaons decaying to muons through the purely leptonic
channel, K−→μ−¯νμ, is about PK−→μ−≃0.018. For final
state muons with energy Eμ < 100 GeV, this probability
reduces to PK−→μ−ðEμ < 100 GeVÞ ≃0.011. In the case of
pion decays, this probability is strongly reduced because of related level of background, hadrons are simulated at
the end of the COMPASS BMS to account for particle
misidentification through momentum reconstruction. From
MC simulations, along the typical distance to the active
target of ∼36 m, it is found that PK−→X ∼Oð10−3Þ,
whereas Pπ−;K0
L→X ∼Oð10−4Þ. Thus, the total number
of decay hadrons before the entrance of the setup is
estimated through Nh→X ¼ NMOT × Ph × Ph→X, which is
∼Oð10−10–10−11Þ per MOT. From those in-flight decays,
background is associated to events with final state muons in
the decay products, namely h →μ−X, where X is mostly
associated to a neutrino in the case of π−and K−,
susceptible to carry away a large fraction of its parent
hadron energy, thus mimicking a Z0-strahlung event with
missing energy. For such a distance, the probability of
kaons decaying to muons through the purely leptonic
channel, K−→μ−¯νμ, is about PK−→μ−≃0.018. For final
state muons with energy Eμ < 100 GeV, this probability
reduces to PK−→μ−ðEμ < 100 GeVÞ ≃0.011. C. Background Hermeticity plane defined by the reconstructed muon
energy after the ECAL and the total energy deposit in the
calorimeters, ðE0μ; ECAL ¼ EECAL þ EVHCAL þ EHCALÞ, for SM
muons with a single reconstructed track (one hit per Micromegas)
assuming (top) trigger in counters S0, S1 and Sμ and (bottom)
trigger in all counters, no energy deposit in the vetos, VHCAL
and HCAL. The total number of simulated muons corresponds to
NMOT ¼ 108. Whereas region A, B and C correspond to regions
compatible with SM-related energy deposit, region D defines the
interesting parameter space compatible with Z0-strahlung events
(see text). 0
50
100
150
200
' [GeV]
μ
Reconstructed muon energy E
0
50
100
150
200
[GeV]
CAL
Sum of energy deposited E
1
10
2
10
3
10
4
10
5
10
A)
B)
C)
D) the kinematics of the process. The overall probability for
such a process, given the kaon contamination of the beam,
is estimated at the level of 3.3 × 10−10 per MOT. For the
full set of selection criteria, this background reduces to
1.1 × 10−11 per MOT. Such background can be further
reduced by the mean of additional absorbers in the M2
beam line. For a 3.8λI ¼ 150 cm aluminum absorber,
this probability is reduced by a factor e−3.7 ≃0.023. Additionally, using a dedicated magnetic spectrometer just
before the active target [28,37] reduces the effective hadron
decay length to 4 m, thus suppressing further this back-
ground by at least an order of magnitude according to
simulations. 0
50
100
150
200
' [GeV]
μ
Reconstructed muon energy E
0
50
100
150
200
[GeV]
CAL
Sum of energy deposited E
1
10
2
10 The second important source of background contributing
to missing energy events originates from leading hadron
production in the target. Those arise from muon nuclear
interactions, μ−N →μ−hX, within the ECAL material,
with the outgoing hadron carrying away a significant
fraction of the primary muon energy (Eh ≥80 GeV). C. Background Such events can then leak through [punch through (PT)]
the detector elements downstream of the target, with two
possible scenarios mimicking a signal event: (i) the low
energy outgoing muon is poorly detected and the leading
charged hadrons deposit an energy compatible with the one
of a MIP (EHCAL ∼2.5 GeV) in the HCAL module; (ii) the
outgoing muon is reconstructed with low energy and the
neutral hadron traverses the HCAL modules undetected
(EHCAL ∼0.1 GeV). The probability for leading hadron
production in the target is estimated through MC simu-
lations to be 10−6 per MOT. Similarly, the probability for
punching through a single or multiple HCAL module(s) is
estimated with simulations and compared to available
experimental data [55–57]. In the case of a single module,
the effect of punch-through charged/neutral high energy
hadrons—mostly π, K and neutrons n—appears as a peak
in the low-energy end of the HCAL energy deposited
spectrum. By extrapolating the low-end region of the
spectrum, the PT probability for a single module corre-
sponds to ≲10−2 per incoming hadron. A similar analysis
extended to two and four modules yields a probability of
≲10−6 and ≲10−11 respectively. The overall total proba-
bility of producing a leading hadron which subsequently
punches through two HCAL modules is thus estimated to
be ≲10−12 per MOT. ' [GeV]
μ
Reconstructed muon energy E FIG. 5. Hermeticity plane defined by the reconstructed muon
energy after the ECAL and the total energy deposit in the
calorimeters, ðE0μ; ECAL ¼ EECAL þ EVHCAL þ EHCALÞ, for SM
muons with a single reconstructed track (one hit per Micromegas)
assuming (top) trigger in counters S0, S1 and Sμ and (bottom)
trigger in all counters, no energy deposit in the vetos, VHCAL
and HCAL. The total number of simulated muons corresponds to
NMOT ¼ 108. Whereas region A, B and C correspond to regions
compatible with SM-related energy deposit, region D defines the
interesting parameter space compatible with Z0-strahlung events
(see text). FIG. 5. Hermeticity plane defined by the reconstructed muon
energy after the ECAL and the total energy deposit in the
calorimeters, ðE0μ; ECAL ¼ EECAL þ EVHCAL þ EHCALÞ, for SM
muons with a single reconstructed track (one hit per Micromegas)
assuming (top) trigger in counters S0, S1 and Sμ and (bottom)
trigger in all counters, no energy deposit in the vetos, VHCAL
and HCAL. C. Background Source of background
Level per MOT
Hadron in-flight decay
≲10−11
Momentum mismatch
≲10−12
Detector non-hermeticity
≲10−12
Single-hadron punch through
≲10−12
Dimuon production
< 10−12
Total (conservatively)
≲10−11 of ðme=mμÞ5 compared to electron bremsstrahlung, is
estimated through MC simulations to be ∼10−7 per
MOT. Because of the phase space associated to this
process, final state muons can be efficiently rejected
through the double/triple MIP signature in the HCAL
modules, as well as within the tracking detectors. For
the typical set of cuts used within this framework, possible
background due to dimuons production is rejected at the
level of <10−12 per MOT. FIG. 6. Projected sensitivities for the invisible mode Z0 →¯νν in
the ðmZ0; g0Þ parameter space for a total of 1011 MOT with the
NA64μ experiment. The limits are given using the selection
criteria (i)–(iv) and the requirement of the event lying in the signal
box. The necessary ðmZ0; g0Þ values to explain the ðg −2Þμ
anomaly are shown within the 2σ green band, as well as the
possible parameters to cover the XENON1T excess [62]. Also
shown are current experimental constraints from CCFR [63,64],
BOREXINO [65,66], BABAR [67] and Belle-II [68], together
with the cosmological constraints from the big bang nucleosyn-
thesis (BBN) [69–71]. Projected sensitivities from Dune [72,73],
Belle-II [74] and M3 [38] are also plotted. FIG. 6. Projected sensitivities for the invisible mode Z0 →¯νν in
the ðmZ0; g0Þ parameter space for a total of 1011 MOT with the
NA64μ experiment. The limits are given using the selection
criteria (i)–(iv) and the requirement of the event lying in the signal FIG. 6. Projected sensitivities for the invisible mode Z0 →¯νν in
the ðmZ0; g0Þ parameter space for a total of 1011 MOT with the
NA64μ experiment. The limits are given using the selection
criteria (i)–(iv) and the requirement of the event lying in the signal
box. The necessary ðmZ0; g0Þ values to explain the ðg −2Þμ
anomaly are shown within the 2σ green band, as well as the
possible parameters to cover the XENON1T excess [62]. Also
shown are current experimental constraints from CCFR [63,64],
BOREXINO [65,66], BABAR [67] and Belle-II [68], together
with the cosmological constraints from the big bang nucleosyn-
thesis (BBN) [69–71]. Projected sensitivities from Dune [72,73],
Belle-II [74] and M3 [38] are also plotted. C. Background In the case of
pion decays, this probability is strongly reduced because of For completeness to this study, muon electromagnetic
interactions within the target also constitute a possible
source of background, especially if visible decays of Z0 are
inferred (typically Z0 →μþμ−). The main process is
dimuons production through the emission of a real photon
(Bethe-Heitler
mechanism),
μ−N →μ−Nγ;
γ →μþμ−. Other mechanisms responsible for such dilepton produc-
tion, although more suppressed, are the production of
dimuon through a virtual photon (Trident process) or
through highly energetic knock-on electrons (see e.g.,
Ref. [58–61]). The dimuon yield, suppressed by a factor 052006-5 PHYS. REV. D 105, 052006 (2022) H. SIEBER et al. 3
−
10
2
−
10
1
−
10
1
[GeV]
Z'
m
5
−
10
4
−
10
3
−
10
2
−
10
1
−
10
g'
MOTs
11
10
μ
NA64
Phase 1
3
M
CCFR
BBN
BaBAR
Borexino
σ
2
±
μ
(g-2)
Belle II
-1
Belle II 50 fb
-
μ
+
μ
Dune
XENON1T
FIG. 6. Projected sensitivities for the invisible mode Z0 →¯νν in
the ðmZ0; g0Þ parameter space for a total of 1011 MOT with the
NA64μ experiment. The limits are given using the selection
criteria (i)–(iv) and the requirement of the event lying in the signal
box. The necessary ðmZ0; g0Þ values to explain the ðg −2Þμ
anomaly are shown within the 2σ green band, as well as the
possible parameters to cover the XENON1T excess [62]. Also
shown are current experimental constraints from CCFR [63,64],
BOREXINO [65,66], BABAR [67] and Belle-II [68], together
with the cosmological constraints from the big bang nucleosyn-
thesis (BBN) [69–71]. Projected sensitivities from Dune [72,73],
Belle-II [74] and M3 [38] are also plotted. 3
−
10
2
−
10
1
−
10
1
[GeV]
Z'
m
5
−
10
4
−
10
3
−
10
2
−
10
1
−
10
g'
MOTs
11
10
μ
NA64
Phase 1
3
M
CCFR
BBN
BaBAR
Borexino
σ
2
±
μ
(g-2)
Belle II
-1
Belle II 50 fb
-
μ
+
μ
Dune
XENON1T TABLE I. Main sources of background and expected back-
ground level per muons on target (MOT). C. Background Combining all of the above main sources of background,
the experiment is expected to be background free at the
level of ∼1011 MOTs (see Table I). IV. FUTURE SENSITIVITY TO THE ðg −2Þμ colliders with the BABAR [67] and Belle-II [68] experi-
ments. As a comparison, projected sensitivities for Dune
[72,73], Belle-II [74] and M3 [38] are plotted alongside our
estimated limits. colliders with the BABAR [67] and Belle-II [68] experi-
ments. As a comparison, projected sensitivities for Dune
[72,73], Belle-II [74] and M3 [38] are plotted alongside our
estimated limits. The signal yield of invisible decay of Z0 to SM neutrinos,
Z0 →¯νν, can be estimated according to [37,40] such that Nð¯ννÞ
Z0
¼ NMOT · ρN A
A
·
X
i
σtotðEiμÞΔLi · BrðZ0 →¯ννÞ;
ð6Þ V. CONCLUSION In this work, we presented the expected sensitivity of the
NA64μ experiment to a light Z0 boson coupled to muons as
a remaining low mass explanation of the ðg −2Þμ muon
anomaly. The minimal model based on the broken
Uð1ÞLμ−Lτ symmetry is used as a benchmark in these
studies. We focused on the optimization and design of
the experimental setup for the first phase of the experiment
dedicated to demonstrating the feasibility of the technique. The trigger efficiency and the detector hermeticity have
been studied using a dedicated GEANT4-based MC simu-
lation framework and a realistic M2 beam-optics simula-
tion. A trigger using the scattered muon deflection after
traversing the magnet spectrometer has been designed to
keep the primary beam below 0.1% and a mass-dependent
signal efficiency between 15%–35%. The low trigger
efficiency for smaller masses is compensated by the mass
dependence of the cross section. The main expected
background sources arise from momentum misreconstruc-
tion in the two magnet spectrometers, hadron contamina-
tion and detector hermeticity. The results obtained from the
simulation show that the background level is below 10−11
per MOT being dominated by the decay in flight of
the remaining hadron contamination in the M2 beam line. where N A is the Avogadro number, ρ is the target density
and A the target atomic weight, ΔLi is the ith step length of
the muon with energy Eiμ within the target, and σtot the total
cross section for Z0 emission. The 90% confidence level
upper limit on g0 is calculated using Eq. (6), thus requiring
Nð¯ννÞ
Z0
> 2.3 events, in the ðmZ0; g0Þ parameter space. The
corresponding results are shown in Fig. 6 for NMOT ¼ 1011
assuming the selection criteria (i)–(iv) and a single scat-
tered muon with energy E0μ ≤80 GeV. Also shown is the
values of g0 and mZ0 necessary to explain the muon ðg −2Þμ
within the 2σ band. It can be seen that for NMOT ≥1011, the
parameter space necessary to explain the muon anomalous
magnetic moment is fully covered. Additionally, it is also
shown that with 1011 MOT, NA64μ is also sensitive to the
parameters
space
region
explaining
the
XENON1T
excess [62]. ACKNOWLEDGMENTS We also showed two methods which can potentially reduce
this background by at least an order of magnitude. Finally,
we studied the experiment projected sensitivities compared
to present and future experiments aiming to perform similar
searches. These first estimates based on simulations reveal
that with 1011 MOT we can probe the region relevant to the
ðg −2Þμ anomaly, obtaining the most sensitive coverage for
masses below 200 MeV. The presented simulation results
and calculations are to be validated in the scheduled
pilot run. We acknowledge the members of the NA64 collabora-
tion for fruitful discussions, in particular, N. V. Krasnikov. The work of P. Crivelli, E. Depero, L. Molina Bueno and
H. Sieber is supported by ETH Zürich and SNSF Grants
No. 169133, No. 186181, No. 186158 and No. 197346
(Switzerland). The work of D. V. Kirpichnikov on MC
simulation of Z0 emission is supported by the Russian
Science Foundation RSF Grant No. 21-12-00379. next-to-next- to-leading order, Phys. Lett. B 734, 144
(2014). [1] B. Abi et al. (Muon g −2 Collaboration), Measurement of
the Positive Muon Anomalous Magnetic Moment to
0.46 ppm, Phys. Rev. Lett. 126, 141801 (2021). [14] K. Melnikov and A. Vainshtein, Hadronic light-by-light
scattering contribution to the muon anomalous magnetic
moment reexamined, Phys. Rev. D 70, 113006 (2004). [2] T. Aoyama et al., The anomalous magnetic moment of the
muon in the Standard Model, Phys. Rep. 887, 1 (2020). [15] P. Masjuan and P. Sánchez-Puertas, Pseudoscalar-pole
contribution to the ðgμ −2Þ: A rational approach, Phys. Rev. D 95, 054026 (2017). [3] T. Aoyama, M. Hayakawa, T. Kinoshita, and M. Nio,
Complete Tenth-Order QED Contribution to the Muon
g −2, Phys. Rev. Lett. 109, 111808 (2012). [16] G. Colangelo, M. Hoferichter, M. Procura, and P. Stoffer,
Dispersion relation for hadronic light-by-light scattering:
two-pion contributions, J. High Energy Phys. 04 (2017)
161. [4] T. Aoyama, T. Kinoshita, and M. Nio, Theory of the
anomalous magnetic moment of the electron, Atoms 7,
28 (2019). [5] A. Czarnecki, W. J. Marciano, and A. Vainshtein, Refine-
ments in electroweak contributions to the muon anomalous
magnetic moment, Phys. Rev. D 67, 073006 (2003); 73,
119901(E) (2006). [17] M. Hoferichter, B.-L. Hoid, B. Kubis, S. Leupold, and S. P. Schneider, Dispersion relation for hadronic light-by-light
scattering: pion pole, J. High Energy Phys. 10 (2018)
141. [6] C. Gnendiger, D. Stöckinger, and H. ACKNOWLEDGMENTS Stöckinger-Kim, The
electroweak contributions to ðg −2Þμ after the Higgs-boson
mass measurement, Phys. Rev. D 88, 053005 (2013). [18] A. G´erardin, H. B. Meyer, and A. Nyffeler, Lattice calcu-
lation of the pion transition form factor with Nf ¼ 2 þ 1
Wilson quarks, Phys. Rev. D 100, 034520 (2019). [7] M. Davier, A. Hoecker, B. Malaescu, and Z. Zhang,
Reevaluation of the hadronic vacuum polarization contri-
butions to the Standard Model predictions of the muon g −2
and αðm2
ZÞ using newest hadronic cross-section data, Eur. Phys. J. C 77, 827 (2017). [19] J. Bijnens, N. Hermansson-Truedsson, and A. Rodríguez-
Sánchez, Short-distance constraints for the HLbL contribu-
tion to the muon anomalous magnetic moment, Phys. Lett. B
798, 134994 (2019). [20] G. Colangelo, F. Hagelstein, M. Hoferichter, L. Laub, and
P. Stoffer, Longitudinal short-distance constraints for the
hadronic
light-by-light
contribution
to
ðg −2Þμ
with
large-Nc Regge models, J. High Energy Phys. 03 (2020)
101. [8] A. Keshavarzi, D. Nomura, and T. Teubner, Muon g −2 and
αðM2
ZÞ: A new data-based analysis, Phys. Rev. D 97,
114025 (2018). [9] G. Colangelo, M. Hoferichter, and P. Stoffer, Two-pion
contribution to hadronic vacuum polarization, J. High
Energy Phys. 02 (2019) 006. [21] T. Blum, N. Christ, M. Hayakawa, T. Izubuchi, L. Jin,
C. Jung, and C. Lehner, Hadronic Light-by-Light Scattering
Contribution to the Muon Anomalous Magnetic Moment
from Lattice QCD, Phys. Rev. Lett. 124, 132002 (2020). [10] M. Hoferichter, B.-L. Hoid, and B. Kubis, Three-pion
contribution to hadronic vacuum polarization, J. High
Energy Phys. 08 (2019) 137. [22] G. Colangelo, M. Hoferichter, A. Nyffeler, M. Passera, and
P. Stoffer, Remarks on higher-order hadronic corrections to
the muon g −2, Phys. Lett. B 735, 90 (2014). [11] M. Davier, A. Hoecker, B. Malaescu, and Z. Zhang, A new
evaluation of the hadronic vacuum polarization contribu-
tions to the muon anomalous magnetic moment and to
αðm2
ZÞ, Eur. Phys. J. C 80, 241 (2020); 80, 410(E)
(2020). [23] M. Lindner, M. Platscher, and F. S. Queiroz, A call for new
physics: The muon anomalous magnetic moment and lepton
flavor violation, Phys. Rep. 731, 1 (2018). [12] A. Keshavarzi, D. Nomura, and T. Teubner, g −2 of charged
leptons, αðM2
ZÞ, and the hyperfine splitting of muonium,
Phys. Rev. D 101, 014029 (2020). [24] D. Stöckinger, The muon magnetic moment and new
physics, Hyperfine Interact. 214, 13 (2013). [25] J. P. Miller, R. PHYS. REV. D 105, 052006 (2022) PHYS. REV. D 105, 052006 (2022) V. CONCLUSION where N A is the Avogadro number, ρ is the target density
and A the target atomic weight, ΔLi is the ith step length of
the muon with energy Eiμ within the target, and σtot the total
cross section for Z0 emission. The 90% confidence level
upper limit on g0 is calculated using Eq. (6), thus requiring
Nð¯ννÞ
Z0
> 2.3 events, in the ðmZ0; g0Þ parameter space. The
corresponding results are shown in Fig. 6 for NMOT ¼ 1011
assuming the selection criteria (i)–(iv) and a single scat-
tered muon with energy E0μ ≤80 GeV. Also shown is the
values of g0 and mZ0 necessary to explain the muon ðg −2Þμ
within the 2σ band. It can be seen that for NMOT ≥1011, the
parameter space necessary to explain the muon anomalous
magnetic moment is fully covered. Additionally, it is also
shown that with 1011 MOT, NA64μ is also sensitive to the
parameters
space
region
explaining
the
XENON1T
excess [62]. Nð¯ννÞ
Z0
> 2.3 events, in the ðmZ0; g0Þ parameter space. The
corresponding results are shown in Fig. 6 for NMOT ¼ 1011
assuming the selection criteria (i)–(iv) and a single scat-
tered muon with energy E0μ ≤80 GeV. Also shown is the
values of g0 and mZ0 necessary to explain the muon ðg −2Þμ
within the 2σ band. It can be seen that for NMOT ≥1011, the
parameter space necessary to explain the muon anomalous
magnetic moment is fully covered. Additionally, it is also
shown that with 1011 MOT, NA64μ is also sensitive to the
parameters
space
region
explaining
the
XENON1T
excess [62]. For completeness, existing experimental bounds on Z0
from the gauge extension Lμ −Lτ theory are shown for
neutrino trident production, νN →νNμμ, with the CCFR
experiment [63,64], as well as from neutrino-electron
scattering with the BOREXINO experiment [65,66]. Also
shown are experimental constraints from electron-positron 052006-6 ACKNOWLEDGMENTS Fol-
denauer, Confirming Uð1ÞLμ−Lτ as a solution of ðg −2Þμ with
neutrinos, Eur. Phys. J. C 81, 861 (2021). [49] M. Bondi, A. Celentano, R. R. Dusaev, D. V. Kirpichnikov,
M. M. Kirsanov, N. V. Krasnikov, L. Marsicano, and D. Shchukin, Fully Geant4 compatible package for the simu-
lation of Dark Matter in fixed target experiments, Comput. Phys. Commun. 269, 108129 (2021). [33] R. Foot, New physics from electric charge quantization?,
Mod. Phys. Lett. A 06, 527 (1991). [34] X. G. He, G. C. Joshi, H. Lew, and R. R. Volkas, New-Z
phenomenology, Phys. Rev. D 43, R22 (1991). [50] K. L. Brown et al., TRANSPORT: A computer program for
designing charged-particle beam-transport systems (CERN,
Geneva, 1980), https://cds.cern.ch/record/133647?ln=en. [35] X.-G. He, G. C. Joshi, H. Lew, and R. R. Volkas, Simplest Z
model, Phys. Rev. D 44, 2118 (1991). [51] K. L. Brown and F. C. Iselin, DECAY TURTLE (Trace
Unlimted Rays Through Lumped Elements): A computer
program for simulating charged-particle beam transport
systems, including decay calculations (CERN, Geneva,
1974), https://cds.cern.ch/record/186178?ln=en. [36] S. Baek and P. Ko, Phenomenology of Uð1ÞLμ−Lτ charged
dark matter at PAMELA/ FERMI and colliders, J. Cosmol. Astropart. Phys. 10 (2009) 011. [37] D. Banerjee et al. (NA64 Collaboration), Proposal for an
experiment to search for dark sector particles weakly
coupled
to
muon
at
the
SPS,
Report
No. CERN-
SPSC:2019-002/ SPSC-P-359, 2019, https://cds.cern.ch/
record/2653581?ln=en. [52] C. Iselin, HALO: A computer program to calculate muon
halo, Report No. CERN 74-17 Laboratory II, 1974, https://
inis.iaea.org/search/search.aspx?orig_q=RN:6175777. [53] M. Dobbs and J. B. Hansen, The HepMC C++ Monte
Carlo Event Record for High Energy Physics, Report
No. ATL-SOFT-2000-001,
2000,
https://inspirehep.net/
literature/553387. [38] Y. Kahn, G. Krnjaic, N. Tran, and A. Whitbeck, M3: a new
muon missing momentum experiment to probe ðg −2Þμ and
dark matter at Fermilab, J. High Energy Phys. 09 (2018)
153. [54] J. Rauch and T. Schlüter, GENFIT a Generic Tracking
Fitting Toolkit, J. Phys. Conf. Ser. 608, 012042 (2015). [39] N. Doble, L. Gatignon, G. von Holtey, and F. Novoskoltsev,
The upgraded muon beam the SPS, Nucl. Instrum. Methods
Phys. Res., Sect. A 343, 351 (1994). [55] S. P. Denisov, S. V. Donskov, Y. P. Gorin, R. N. Krasnokut-
sky, A. I. Petrukhin, Y. D. Prokoshkin, and D. A. Stoyanova,
Absorption cross sections for pions, kaons, protons and
antiprotons on complex nuclei in the 6 to 60 GeV/c
momentum range, Nucl. Phys. B61, 62 (1973). ACKNOWLEDGMENTS Eduardo de, B. L. Roberts, and D. Stäckinger,
Muon ðg −2Þ: Experiment and Theory, Annu. Rev. Nucl. Part. Sci. 62, 237 (2012). [13] A. Kurz, T. Liu, P. Marquard, and M. Steinhauser, Hadronic
contribution to the muon anomalous magnetic moment to 052006-7 052006-7 PHYS. REV. D 105, 052006 (2022) H. SIEBER et al. [26] R. Capdevilla, D. Curtin, Y. Kahn, and G. Krnjaic,
Systematically Testing Singlet Models for ðg −2Þμ, arXiv:
2112.08377. [43] S. N. Gninenko, D. V. Kirpichnikov, M. M. Kirsanov, and
N. V. Krasnikov, Search for MeV dark photons in a light-
shining-through-walls experiment at CERN, Phys. Lett. B
796, 117 (2019). [27] S. N. Gninenko and N. V. Krasnikov, The muon anomalous
magnetic moment and a new light gauge boson, Phys. Lett. B 513, 119 (2001). [44] S. N. Gninenko, D. V. Kirpichnikov, and N. V. Krasnikov,
Probing millicharged particles with NA64 experiment at
CERN, Phys. Rev. D 100, 035003 (2019). [28] S. N. Gninenko, N. V. Krasnikov, and V. A. Matveev, Muon
g −2 and searches for a new leptophobic sub-GeV dark
boson in a missing-energy experiment at CERN, Phys. Rev. D 91, 095015 (2015). [45] S. Gninenko, S. Kovalenko, S. Kuleshov, V. E. Lyubovitskij,
and A. S. Zhevlakov, Deep inelastic e −τ and μ −τ con-
version in the NA64 experiment at the CERN SPS, Phys. Rev. D 98, 015007 (2018). [29] C.-Y. Chen, M. Pospelov, and Y.-M. Zhong, Muon beam
experiments to probe the dark sector, Phys. Rev. D 95,
115005 (2017). [46] J. Bernhard et al., Studies for new experiments at the CERN
m2 beamline within physics beyond colliders: AMBER/
COMPASS++, NA64μ, MuonE, AIP Conf. Proc. 2249,
030035 (2020). [30] S. N. Gninenko and N. V. Krasnikov, Probing the muon
gμ −2 anomaly, Lμ −Lτ gauge boson and Dark Matter in
dark photon experiments, Phys. Lett. B 783, 24 (2018). [47] P. Abbon et al. (COMPASS Collaboration), The COMPASS
experiment at CERN, Nucl. Instrum. Methods Phys. Res.,
Sect. A 577, 455 (2007). [31] D. V. Kirpichnikov, V. E. Lyubovitskij, and A. S. Zhevlakov,
Implication of hidden sub-GeV bosons for the ðg −2Þμ,
8Be-4He anomaly, proton charge radius, EDM of fermions,
and dark axion portal, Phys. Rev. D 102, 095024 (2020). [48] S. Agostinelli et al. (GEANT4 Collaboration), GEANT4 a
simulation toolkit, Nucl. Instrum. Methods Phys. Res., Sect. A 506, 250 (2003). [32] D. W. P. Amaral, D. G. Cerdeño, A. Cheek, and P. ACKNOWLEDGMENTS [40] D. V. Kirpichnikov, H. Sieber, L. Molina Bueno, P. Crivelli,
and M. M. Kirsanov, Probing hidden sectors with a muon
beam: Total and differential cross sections for vector boson
production in muon bremsstrahlung, Phys. Rev. D 104,
076012 (2021). [56] M. Aalste, M. Andlinger et al., Measurement of hadron
shower punchthrough in iron, Z. Phys. C 60, 1 (1993). [41] S. Andreas, S. V. Donskov, P. Crivelli, A. Gardikiotis, S. N. Gninenko, N. A. Golubev, F. F. Guber, A. P. Ivashkin, M. M. Kirsanov, N. V. Krasnikov, V. A. Matveev, Y. V. Mikhailov,
Y. V. Musienko, V. A. Polyakov, A. Ringwald, A. Rubbia,
V. D. Samoylenko, Y. K. Semertzidis, and K. Zioutas,
Proposal for an Experiment to Search for Light Dark Matter
at the SPS, arXiv:1312.3309. [57] P. H. Sandler et al., Hadron-shower penetration depth and
muon production by hadrons of 40, 70, and 100 GeV, Phys. Rev. D 42, 759 (1990). [58] N. Chaudhuri and M. S. Sinha, Production of knock-on
electrons by cosmic-ray muons underground (148 m w.e.),
Nuovo Cimento (1955–1965) 35, 13 (1965). [59] S. Kelner et al., About cross section for high-energy muon
bremsstrahlung, MEphI Report No. MEPhI 024-95, 1995,
https://inspirehep.net/literature/400124. [42] S. N. Gninenko, Search for MeV dark photons in a light-
shining-through-walls experiment at CERN, Phys. Rev. D
89, 075008 (2014). 052006-8 PHYS. REV. D 105, 052006 (2022) PROSPECTS IN THE SEARCH FOR A NEW LIGHT … PROSPECTS IN THE SEARCH FOR A NEW LIGHT … [68] I. Adachi et al. (Belle-II),
Search for an Invisibly
Decaying Z Boson at Belle II in eþe−→μþμ−ðeμ∓Þ
Plus Missing Energy Final States, Phys. Rev. Lett. 124,
141801 (2020). [60] A. Akhiezer and V. Berestestsky, Quantum Electrodynamics
(Interscience Publishers, Geneva, 1965). [60] A. Akhiezer and V. Berestestsky, Quantum Electrodynamics
(Interscience Publishers, Geneva, 1965). [61] A. G. Bogdanov, H. Burkhardt, V. N. Ivanchenko, S. R. Kelner, R. P. Kokoulin, M. Maire, A. M. Rybin, and L. Urban, Geant4 simulation of production and interaction of
muons, IEEE Trans. Nucl. Sci. 53, 513 (2006). [69] A. Kamada and H.-B. Yu, Coherent propagation of PeV
neutrinos and the dip in the neutrino spectrum at IceCube,
Phys. Rev. D 92, 113004 (2015). [62] D. Borah, M. Dutta, S. Mahapatra, and N. Sahu, Muon
ðg −2Þ and XENON1T excess with boosted dark matter in
Lμ −Lτ model, Phys. Lett. B 820, 136577 (2021). [70] B. Ahlgren, T. Ohlsson, and S. Zhou, Comment on Is Dark
Matter with Long-Range Interactions a Solution to All
Small-Scale Problems at Λ Cold Dark Matter Cosmology?,
Phys. Rev. Lett. 111, 199001 (2013). μ
[63] S. R. Mishra et al. (CCFR Collaboration), Neutrino tridents
and W −Z interference, Phys. Rev. Lett. 66, 3117 (1991). [71] M. Escudero, D. Hooper, G. Krnjaic, and M. Pierre,
Cosmology with a very light Lμ −Lτ gauge boson, J. High
Energy Phys. 03 (2019) 071. [64] W.Altmannshofer,S.Gori,M.Pospelov,andI.Yavin,Neutrino
Trident Production: A Powerful Probe of New Physics with
Neutrino Beams, Phys. Rev. Lett. 113, 091801 (2014). [72] P. Ballett, M. Hostert, S. Pascoli, Y. F. Perez-Gonzalez, Z. Tabrizi,andR. Z.Funchal,Zs inneutrinoscattering atDUNE,
Phys. Rev. D 100, 055012 (2019). [65] Y. Kaneta and T. Shimomura, On the possibility of a search
for the Lμ −Lτ gauge boson at Belle-II and neutrino beam
experiments, Prog. Theor. Exp. Phys. 2017, 053B04 (2017). [73] W. Altmannshofer, S. Gori, J. Martín-Albo, A. Sousa, and
M. Wallbank, Neutrino tridents at DUNE, Phys. Rev. D 100,
115029 (2019). [66] S. Gninenko and D. Gorbunov, Refining constraints from
Borexino measurements on a light Z-boson coupled to
Lμ −Lτ current, Phys. Lett. B 823, 136739 (2021). [74] M. Campajola (Belle-II Collaboration), Dark Sector first
results at Belle II, Phys. Scr. 96, 084005 (2021). μ
[67] J. P. Lees et al. (BABAR Collaboration), Search for a muonic
dark force at BABAR, Phys. Rev. D 94, 011102 (2016). 052006-9
|
https://openalex.org/W2966115183
|
https://figshare.com/ndownloader/files/16871642
|
Hungarian
| null |
Knockout of Babesia bovis rad51 ortholog and its complementation by expression from the BbACc3 artificial chromosome platform
|
PloS one
| 2,019
|
cc-by
| 28,868
|
MSC - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
QE LQRV ENS I
V V P - - - - - - -
- - - - - - - - - -
- - - - Y T D T YA
- - - - - - - - - -
- - - - - - - - - -
- - - - - - SGLQ
MDS L E ERCS F
SA TGSD I F R -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - R
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
MDCN - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - GS
KE I A I PQNDA
L VA - - - - - - -
- - - - - - - - - -
- - - - ASDS - -
- - - - - - - - - -
- - - - - - - - - -
- - MS - - ANPQ
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - VC
KE L A I PQEN T
L VA - - - - - - -
- - - - - - - - - -
- - - - V T DS - -
- - - - - - - - - -
- - - - - - - - - -
- - MS - - ANPQ
M - - - - - - - CH
EDKH - - - - - -
- - - - - - - - GS
DE L A T T T AAE
T V - - - - - - - -
- - - - - - - - - -
- - - - VCEG - -
- - - - - - - - - -
- - - - - - - - - -
- - F A - - TGAQ
MAMQMQL EAN
AD T S V - - - - -
- - - - - - - - - -
- - - - - - - - - -
E E E - - - - - - -
- - - - - - - - - -
- - - - S - - - F -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - GPQ
MSQVQEQH I S
E SQLQYGNGS
LMS T V PAD L S
QS V VDGNGNG
S S E - - - - - - -
- - - - - - - - - -
- - - - D I EA T N
GSGDGGGLQE
QAEAQGEMED
EAYDEAA LGS
M - - - - - - - - K
QAN T - - - - - -
- - - - - - - - KE
DKSQK I SNS S
T I D - - - - - - -
- - - - - - - - - -
- - - - E I E E - -
- - - - - - - - - -
- - - - - - - - - -
- - EQL Y TGP L
MSAV S LQQSR
AAS V - - - - - -
- - - - - - - - QE
S E PQQRQAQQ
L AE - - - - - - -
- - - - - - - - - -
- - - - E VQ - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - SGP L
MN T R T KNKKR
T KE V I - - - - -
- - - - - - - - - -
- - - - - - - - - -
EDE - - - - - - -
- - - - - - - - - -
- - - - VHD I DD
T A F DDAAVDA
VNDN TQEMQQ
QVGDAAGGP S
M - - - - - - - - K
QAN T - - - - - -
- - - - - - - - KE
DKSQK I SNS S
T I D - - - - - - -
- - - - - - - - - -
- - - - E I E E - -
- - - - - - - - - -
- - - - - - - - - -
- - EQL Y TGP L
M - - - - - - - - K
PAN T - - - - - -
- - - - - - - - RE
DA T HK F SNNN
AVD - - - - - - -
- - - - - - - - - -
- - - - E I E E - -
- - - - - - - - - -
- - - - - - - - - -
- - EH L Y SGP L
M - - - - - - - - K
PANP - - - - - -
- - - - - - - - KE
DA T HK I PNNN
T VD - - - - - - -
- - - - - - - - - -
- - - - E I E E - -
- - - - - - - - - -
- - - - - - - - - -
- - EH L Y SGP L
M - - - - - - - - K
SANA - - - - - -
- - - - - - - - KE
D T I SQT CDNS
T T E - - - - - - -
- - - - - - - - - -
- - - - DVDE - -
- - - - - - - - - -
- - - - - - - - - -
- - - H L Y TGP L
M - - - - - - - - K
SANA - - - - - -
- - - - - - - - KE
D T I SQT CDNS
T T E - - - - - - -
- - - - - - - - - -
- - - - E VDE - -
- - - - - - - - - -
- - - - - - - - - -
- - - H L YAGP L
MPAM - - - - - K
SANA - - - - - -
- - - - - - - - KE
D T V SQT CDNS
T I E - - - - - - -
- - - - - - - - - -
- - - - DADE - -
- - - - - - - - - -
- - - - - - - - - -
- - - H L YAGP L
MPAM - - - - - K
SANA - - - - - -
- - - - - - - - KE
D T V SQT CDNS
T I E - - - - - - -
- - - - - - - - - -
- - - - DADE - -
- - - - - - - - - -
- - - - - - - - - -
- - - H L Y SGP L
M - - - - - - - - K
AANA - - - - - -
- - - - - - - - RP
DE I QT I SHNN
AV E - - - - - - -
- - - - - - - - - -
- - - - E V E E - -
- - - - - - - - - -
- - - - - - - - - -
- - E P L Y SGP L
MSAV S VQQAR
AAS V - - - - - -
- - - - - - - - QE
S E PQQQQAQQ
L AE - - - - - - -
- - - - - - - - - -
- - - - E VQ - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - SGP L
MSAV S I QQSK
P V S T - - - - - -
- - - - - - - - QE
HE PQQQQ - - Q
L AE - - - - - - -
- - - - - - - - - -
- - - - DVQ - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - TGP L
M - - - - - - - - K
PAN T - - - - - -
- - - - - - - - KE
DV V PKV SNS S
T L E - - - - - - -
- - - - - - - - - -
- - - - E V E E - -
- - - - - - - - - -
- - - - - - - - - -
- - EQL YAGP L
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - S S
DE L S L VKE EN
SMG - - - - - - -
- - - - - - - - - -
- - - - V S E S - -
- - - - - - - - - -
- - - - - - - - - -
- - GS - - QNPQ
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - S S
DE L S L VKE EN
SMG - - - - - - -
- - - - - - - - - -
- - - - V S E T - -
- - - - - - - - - -
- - - - - - - - - -
- - GS - - QNPQ
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - GS
DE L S L VNENN
A L S - - - - - - -
- - - - - - - - - -
- - - - I S E P - -
- - - - - - - - - -
- - - - - - - - - -
- - AP - - QNPQ
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - AS
E E L S L VNDS S
AVA - - - - - - -
- - - - - - - - - -
- - - - L AEA - -
- - - - - - - - - -
- - - - - - - - - -
- - V S - - ANPQ
MS T I NP - - - -
- - N - - - - - - -
- - - - - - - - - -
- - - E V VNENN
ENQ - - - - - - -
- - - - - - - - - -
- - - - NN L N - -
- - - - - - - - - -
- - - - - - - - - -
- - E T V YNGP L
MS T I NP - - - -
- - N - - - - - - -
- - - - - - - - - -
- - - E I VNENN
ENQ - - - - - - -
- - - - - - - - - -
- - - - NN L N - -
- - - - - - - - - -
- - - - - - - - - -
- - E T V YNGP L
MS I I NV - - - -
- - NS - - - - - -
- - - - - - - - S S
DV T E F I SAN I
DEN - - - - - - -
- - - - - - - - - -
- - - - T EKN - -
- - - - - - - - - -
- - - - - - - - - -
- - S - - - NGP L
MT S V LQVQRN
SAQ I - - - - - -
- - - - - - - - MK
TGE L RPDSRC
S VQ - - - - - - -
- - - - - - - - - -
- - - - T VAS V T
EMARDMEHGF
GDQT I MT NEQ
A L E S V S EGP L
MA - - - - - E YA
EDV - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- EQ - - - - - - -
- - - - - - - - - -
- - - - S - - - D -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - GPM
MQKQQNEQ I E
EDE Y - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- E E - - - - - - -
- - - - - - - - - -
- - - - V - - - I -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - S Y T
MS S SGAAAAA
AA T AE - - - - -
- - - - - - - - - -
- - - - - - - - - -
EAA - - - - - - -
- - - - - - - - - -
- - - - AGGEH -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - GP F
MAAAME EMHA
QE V V E - - - - -
- - - - - - - - - -
- - - - - - - - - -
GE E - - - - - - -
- - - - - - - - - -
- - - - AAG - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - F CGPM
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - E E
T KQDK F ENDS
L - - - - - - - - -
- - - - - - - L R -
SGV S T TG - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- D LGS I GS - -
- - - - - - - - - -
MRD I P L AH - -
- - - - - L P L RP
S T LQT LQ - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- KRGF YGT R -
- - - - - - - - - -
MRN - - - - - - -
- - - - - - K LMS
CGYC T I A - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- D I QE V SA - -
- - - - - - - - - -
MA L I ECAE S L
S S S T KAK LQD
AG I L Y V S E V V
S L L S S TGYRA
GDEGDSKPAS
A L RH L S T A L K
HHMS P SDPRA
PRR L RRDAGG
DDRGA LGGQA
E PAS V SRS I E
MA - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - - MSC - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
QE LQRV ENS I
V V P - - - - - - -
- - - - - - - - - -
- - - - Y T D T YA
- - - - - - - - - -
- - - - - - - - - -
- - - - - - SGLQ
MDS L E ERCS F
SA TGSD I F R -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - R
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
MDCN - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - GS
KE I A I PQNDA
L VA - - - - - - -
- - - - - - - - - -
- - - - ASDS - -
- - - - - - - - - -
- - - - - - - - - -
- - MS - - ANPQ
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - VC
KE L A I PQEN T
L VA - - - - - - -
- - - - - - - - - -
- - - - V T DS - -
- - - - - - - - - -
- - - - - - - - - -
- - MS - - ANPQ
M - - - - - - - CH
EDKH - - - - - -
- - - - - - - - GS
DE L A T T T AAE
T V - - - - - - - -
- - - - - - - - - -
- - - - VCEG - -
- - - - - - - - - -
- - - - - - - - - -
- - F A - - TGAQ
MAMQMQL EAN
AD T S V - - - - -
- - - - - - - - - -
- - - - - - - - - -
E E E - - - - - - -
- - - - - - - - - -
- - - - S - - - F -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - GPQ
MSQVQEQH I S
E SQLQYGNGS
LMS T V PAD L S
QS V VDGNGNG
S S E - - - - - - -
- - - - - - - - - -
- - - - D I EA T N
GSGDGGGLQE
QAEAQGEMED
EAYDEAA LGS
M - - - - - - - - K
QAN T - - - - - -
- - - - - - - - KE
DKSQK I SNS S
T I D - - - - - - -
- - - - - - - - - -
- - - - E I E E - -
- - - - - - - - - -
- - - - - - - - - -
- - EQL Y TGP L
MSAV S LQQSR
AAS V - - - - - -
- - - - - - - - QE
S E PQQRQAQQ
L AE - - - - - - -
- - - - - - - - - -
- - - - E VQ - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - SGP L
MN T R T KNKKR
T KE V I - - - - -
- - - - - - - - - -
- - - - - - - - - -
EDE - - - - - - -
- - - - - - - - - -
- - - - VHD I DD
T A F DDAAVDA
VNDN TQEMQQ
QVGDAAGGP S
M - - - - - - - - K
QAN T - - - - - -
- - - - - - - - KE
DKSQK I SNS S
T I D - - - - - - -
- - - - - - - - - -
- - - - E I E E - -
- - - - - - - - - -
- - - - - - - - - -
- - EQL Y TGP L
M - - - - - - - - K
PAN T - - - - - -
- - - - - - - - RE
DA T HK F SNNN
AVD - - - - - - -
- - - - - - - - - -
- - - - E I E E - -
- - - - - - - - - -
- - - - - - - - - -
- - EH L Y SGP L
M - - - - - - - - K
PANP - - - - - -
- - - - - - - - KE
DA T HK I PNNN
T VD - - - - - - -
- - - - - - - - - -
- - - - E I E E - -
- - - - - - - - - -
- - - - - - - - - -
- - EH L Y SGP L
M - - - - - - - - K
SANA - - - - - -
- - - - - - - - KE
D T I SQT CDNS
T T E - - - - - - -
- - - - - - - - - -
- - - - DVDE - -
- - - - - - - - - -
- - - - - - - - - -
- - - H L Y TGP L
M - - - - - - - - K
SANA - - - - - -
- - - - - - - - KE
D T I SQT CDNS
T T E - - - - - - -
- - - - - - - - - -
- - - - E VDE - -
- - - - - - - - - -
- - - - - - - - - -
- - - H L YAGP L
MPAM - - - - - K
SANA - - - - - -
- - - - - - - - KE
D T V SQT CDNS
T I E - - - - - - -
- - - - - - - - - -
- - - - DADE - -
- - - - - - - - - -
- - - - - - - - - -
- - - H L YAGP L
MPAM - - - - - K
SANA - - - - - -
- - - - - - - - KE
D T V SQT CDNS
T I E - - - - - - -
- - - - - - - - - -
- - - - DADE - -
- - - - - - - - - -
- - - - - - - - - -
- - - H L Y SGP L
M - - - - - - - - K
AANA - - - - - -
- - - - - - - - RP
DE I QT I SHNN
AV E - - - - - - -
- - - - - - - - - -
- - - - E V E E - -
- - - - - - - - - -
- - - - - - - - - -
- - E P L Y SGP L
MSAV S VQQAR
AAS V - - - - - -
- - - - - - - - QE
S E PQQQQAQQ
L AE - - - - - - -
- - - - - - - - - -
- - - - E VQ - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - SGP L
MSAV S I QQSK
P V S T - - - - - -
- - - - - - - - QE
HE PQQQQ - - Q
L AE - - - - - - -
- - - - - - - - - -
- - - - DVQ - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - TGP L
M - - - - - - - - K
PAN T - - - - - -
- - - - - - - - KE
DV V PKV SNS S
T L E - - - - - - -
- - - - - - - - - -
- - - - E V E E - -
- - - - - - - - - -
- - - - - - - - - -
- - EQL YAGP L
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - S S
DE L S L VKE EN
SMG - - - - - - -
- - - - - - - - - -
- - - - V S E S - -
- - - - - - - - - -
- - - - - - - - - -
- - GS - - QNPQ
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - S S
DE L S L VKE EN
SMG - - - - - - -
- - - - - - - - - -
- - - - V S E T - -
- - - - - - - - - -
- - - - - - - - - -
- - GS - - QNPQ
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - GS
DE L S L VNENN
A L S - - - - - - -
- - - - - - - - - -
- - - - I S E P - -
- - - - - - - - - -
- - - - - - - - - -
- - AP - - QNPQ
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - AS
E E L S L VNDS S
AVA - - - - - - -
- - - - - - - - - -
- - - - L AEA - -
- - - - - - - - - -
- - - - - - - - - -
- - V S - - ANPQ
MS T I NP - - - -
- - N - - - - - - -
- - - - - - - - - -
- - - E V VNENN
ENQ - - - - - - -
- - - - - - - - - -
- - - - NN L N - -
- - - - - - - - - -
- - - - - - - - - -
- - E T V YNGP L
MS T I NP - - - -
- - N - - - - - - -
- - - - - - - - - -
- - - E I VNENN
ENQ - - - - - - -
- - - - - - - - - -
- - - - NN L N - -
- - - - - - - - - -
- - - - - - - - - -
- - E T V YNGP L
MS I I NV - - - -
- - NS - - - - - -
- - - - - - - - S S
DV T E F I SAN I
DEN - - - - - - -
- - - - - - - - - -
- - - - T EKN - -
- - - - - - - - - -
- - - - - - - - - -
- - S - - - NGP L
MT S V LQVQRN
SAQ I - - - - - -
- - - - - - - - MK
TGE L RPDSRC
S VQ - - - - - - -
- - - - - - - - - -
- - - - T VAS V T
EMARDMEHGF
GDQT I MT NEQ
A L E S V S EGP L
MA - - - - - E YA
EDV - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- EQ - - - - - - -
- - - - - - - - - -
- - - - S - - - D -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - GPM
MQKQQNEQ I E
EDE Y - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- E E - - - - - - -
- - - - - - - - - -
- - - - V - - - I -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - S Y T
MS S SGAAAAA
AA T AE - - - - -
- - - - - - - - - -
- - - - - - - - - -
EAA - - - - - - -
- - - - - - - - - -
- - - - AGGEH -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - GP F
MAAAME EMHA
QE V V E - - - - -
- - - - - - - - - -
- - - - - - - - - -
GE E - - - - - - -
- - - - - - - - - -
- - - - AAG - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - F CGPM
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - E E
T KQDK F ENDS
L - - - - - - - - -
- - - - - - - L R -
SGV S T TG - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- D LGS I GS - -
- - - - - - - - - -
MRD I P L AH - -
- - - - - L P L RP
S T LQT LQ - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- KRGF YGT R -
- - - - - - - - - -
MRN - - - - - - -
- - - - - - K LMS
CGYC T I A - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- D I QE V SA - -
- - - - - - - - - -
MA L I ECAE S L
S S S T KAK LQD
AG I L Y V S E V V
S L L S S TGYRA
GDEGDSKPAS
A L RH L S T A L K
HHMS P SDPRA
PRR L RRDAGG
DDRGA LGGQA
E PAS V SRS I E
MA - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - - - - V V EC L L SK
GF LQRD I DV L
KAAG - Y V T L D
S I A - - QVASK
T L L E VKGL - -
- - - S EQKVAK
I KE I VKE L CP
P - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
Y F KRY V F T KC
P F L NNDAE LG
V F TG - GGT I -
CV SGPCS SGK
T L VCMHA L AD
I I SDCGMCER
V I Y VD I D L - -
- - - - - - - - - -
- - - - - - - - S F
D L A L F KN I F R
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - P PH T T
- - - - QKVN T D
AE LQ I P I AV L
NQSA L F NSNE
Y L F SAC TGT S
QT RGVRG - - -
- - - S E SQASQ
P I P L NDY L - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - R L EC L L T K
GL LQRD L D I L
KEAG - F S T L E
CVA - - YAP L K
S L L E VKGL - -
- - - S EQKV EK
I KNACKE L CH
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - R L EC L L T K
GL LQRD I D L L
KEAG - F S T L E
CVA - - YAPAK
ML L DVKGL - -
- - - S EQKV EK
I K L ACKE L CH
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K L EC L L SK
GL L VRD I D I L
REAG - Y S T L E
CVA - - YAP T K
T L L S I KGF - -
- - - S EQKVDK
L KQACKE L CH
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - P I SR L EQC
G I NANDVKK L
E EAG - F H T V E
AVA - - YAPKK
E L I N I KG I - -
- - - S EAKADK
I L AEAAK L V P
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
F V P I EK LQVN
G I TMADVKK L
RE SG - L H T AE
AVA - - YAPRK
D L L E I KG I - -
- - - S EAKADK
L L NEAAR L V P
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K I EQL L AK
GF VKRD L E L L
KEGG - LQT V E
CVA - - YAPMR
T L CA I KG I - -
- - - S EQKAEK
L KKACKE L CN
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K L EH L L AK
GF T KRD L E L L
KDAG - YQT V E
C I A - - F AP VK
N L VAVKGL - -
- - - S EQKV EK
L KKASKE L CN
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
F RV LQ I MENY
GVASAD I KK L
MECG - F L T V E
S VA - - YAPKK
S I L AVKG I - -
- - - S EAKAEK
I MAECCK L T P
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K I EQL L AK
GF VKRD L E L L
KEGG - LQT V E
CVA - - YAPMR
T L CA I KG I - -
- - - S EQKAEK
L KKACKE L CN
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K I EQL L AK
GF VKRD L E L L
KEGG - LQT V E
CVA - - YAPMR
T L CA I KG I - -
- - - S EQKAEK
L KKACKE L CN
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K I EQL L AK
GF VKRD L E L L
KEGG - LQT V E
CVA - - YAPMR
T L CA I KG I - -
- - - S EQKAEK
L KKACKE L CN
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K I EQL L AK
GF VKRD L E L L
KEGG - LQT V E
CVA - - YAPMR
T L CS I KG I - -
- - - S EQKAEK
L KKACKE L CN
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K I EQL L AK
GF VKRD L E L L
KEGG - LQT V E
CVA - - YAPMR
T L CS I KG I - -
- - - S EQKAEK
L KKACKE L CN
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K I EQL L AK
GF VKRD L E L L
KEGG - LQT V E
CVA - - YAPMR
T L CS I KG I - -
- - - S EQKAEK
L KKACKE L CN
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K I EQL L AK
GF VKRD L E L L
KEGG - LQT V E
CVA - - YAPMR
T L CS I KG I - -
- - - S EQKAEK
L KKACKE L CN
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K I EQL L AK
GF VKRD L E L L
KEGG - LQT V E
CVA - - YAPMR
T L CA I KG I - -
- - - S EQKAEK
L KKACKE L CN
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K L EH L L AK
GF T KRD L E L L
KDAG - YQT V E
C I A - - F AP VK
N L VAVKGL - -
- - - S EQKV EK
L KKASKE L CN
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K L EH L L AK
GF T KRD L E L L
KDGG - YQT V E
CVA - - F AP VK
N L VA I KGL - -
- - - S EQKV EK
L KKASKE L CN
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K I EQL L AK
GF VKRD L E L L
KEGG - LQT V E
CVA - - YAPMR
T L CA I KG I - -
- - - S EQKAEK
L KKACKE L CN
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - R L EC L L SK
GL LQRD L D L L
REAG - Y S T L E
CVA - - YAPQK
N L L V I KGL - -
- - - S EQKV L K
I KAACRE L CH
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - R L EC L L SK
GL LQRD L D L L
REAG - Y S T L E
CVA - - YAPQK
N L L V I KGL - -
- - - S EQKV L K
I KAACRE L CH
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - A L EC L L SK
GL LQRD L D L L
REAG - Y S T L E
CVA - - YAPQK
N L L V I KGL - -
- - - S EQKVAK
I KAACRE L CH
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - R L EC L L SK
GL LQRD L E L L
REAG - Y S T L E
CVA - - YAPQK
N L L V I KGF - -
- - - S EQKVCK
I KAACKE L CH
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K L EH L L P S
GL T KRD L E I L
RENG - YH T I E
C L A - - YAPKK
A L L S VKG I - -
- - - S EQKCDK
I KSACKE L VA
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K L EH L L P S
GL T KRD L E I L
RENG - YH T I E
C L A - - YAPKK
A L L S VKG I - -
- - - S EQKCDK
I KSACKE L VA
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - K L EH L L S S
GL T KRD L D L L
RENG - YH T V E
C L A - - YAPKR
S L L C I KG I - -
- - - S EQKCEK
I K T ACKD L VA
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - QL E V L L SK
GF T HRD L E L L
REGG - I QT V E
C I A - - F S PDR
A I AE I KG I - -
- - - SDQKV EK
L K T ACRGL LG
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - L I AK L E EH
G I NNADVKK L
I DAG - FQT V E
S I S - - Y T AKK
N L LQ I KGM - -
- - - T EAK I DK
I L DVAAK L V P
N - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - S L EK L A I P
GFGAVD I QR L
KDAG - F T T CE
S I A - - Y T AKK
N LMN I KGM - -
- - - T DAK I EK
L V EAVAK L V V
N - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - P I EQLQAS
G I AA L DVKK L
KDAG - L C T V E
S V V - - Y S PRK
D L LQ I KG I - -
- - - S EAKVDK
I I EGASK L V P
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - T V EN LQAH
GVAAAD I KK L
KEGG - I H T V E
A L A - - FMPKK
QL S E I KGL - -
- - - S EAK I DK
MQL VA F KMV P
M - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
WKH I S I L KNN
G I CVND I KK L
QN FG - Y Y T V E
S VA - - Y T T KK
K L I E VKG I - -
- - - S EAKAEK
I HS EASKY V P
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - I A T
L AE - - D LGC -
- - - - - - - - - -
- - SAAQAV E Y
VDE I NE I L - -
- - - - - - - - - E
T SGMPQV L AG
DENDS SRGHA
- - - - - - - - - -
- - - - - - - E L T
E SKQ - SGMAN
L AA - - E L A L -
- - - - - - - - - -
- - N L SQT SA L
YAE VDSC L - -
- - - - - - - - - R
T T - - - - - - - -
- - - - - - - - - T
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - VQ
L AQ - - DAQ I -
- - - - - - - - - -
- - SHE EA L - L
V I KVAQRR - -
- - - - - - - - - G
GS VQP T - - - -
- - - - - - - - - E
T T AP S T L RKD
T EASR F L N L T
EDEM - RE I V E
MAA - - RA T AG
ADGEHKGGND
T AS SAQGSDS
I HDVMS S L P P
RAP VC L SRSA
DSAP E T CERA
HRGDRRSGA I
- - - I DENKQK
A L AAA LGQ I E
KQFG - - - - - -
- - - - - - - - - -
- - - - - KGS I M
R LGEDRSMD -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - - 2 - D I C T AAE Y L
ECR L N - - - - -
- - - L I K F T TG
S T A L DA L LQ -
GG I E SGS I T E
I I GD F S TGK T
QL CH T L A I T S
QL P I EQNGGE
GK - C LW I D TQ
NS F - - - RP ER
NQYC T L ERSK
EAQL ND - - - -
- - - - - - - - - -
- - A L NR L Y Y I
P V YNMRD L P P
I LMA L DS Y I S
VH F TQ I M I L D
S L P L KQ - GSR
WNP V F DS V I K
G I RY L HNRYR
P S F T E S - - - -
- - - - - - - - - -
- - - - - - I S LG
I T E I DDA LG -
DC L L LGML T E
I YGE SGSGK T
QVA L T L - VAE
E L VRMQEADS
NDVML Y FQT S
RA F PMQR F CD
- P F I NKRNSC
DS T V E V F S VD
P E - - L KR T PD
S S F L F SD L - -
- - CRS SG I AE
I TGGSGSGK T
S F CVGL - - - -
- - - VN I S SG -
- - L T L Y I D T N
GS L A L PR - - -
- GF CSA T DY L
EAREN - - - - -
- - - L I K F T TG
S T A L DV L LQ -
GGV E TGN I T E
I FGE F K TGK T
QL CH T L AV T C
QL P V EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CSA T DY L
EAREN - - - - -
- - - L I K F T TG
S T A L DA L LQ -
GGV E TGN I T E
I FGE F K TGK T
QL CH T L AV T C
QL P V EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CSANE Y L
EAREN - - - - -
- - - L I K F T TG
S VQL DQL LQ -
GGV E TGN I T E
I FGE F R TGK T
QL CH T L AV T C
QL P V ECSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF T T A T E F H
QRRS E - - - - -
- - - I I Q I T TG
SKE L DK L LQ -
GG I E TGS I T E
MFGE F R TGK T
Q I CH T L AV T C
QL P I DRGGGE
GK - AMY I D T E
GT F - - - RP ER
- GF V T AAD F H
MRRS E - - - - -
- - - L I C L T TG
SKN L D T L LG -
GGV E TGS I T E
L FGE F R TGKS
QL CH T L AV T C
Q I P L D I GGGE
GK - C L Y I D T E
GT F - - - RP VR
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CSAQE Y L
EAREN - - - - -
- - - L I R F T TG
S VQL DS L L K -
GG I E TGN L T E
L FGE F R TGK T
QL CH T L AV T C
QL P I EQAGGE
GK - C LW I D T E
GT F - - - RP ER
- GF T RA T V FQ
EQRKE - - - - -
- - - T I MV T TG
SRE VDK L LG -
GG I E VGS I T E
L FGE F R TGK T
QL CH T L CV T C
QL P L SQGGGE
GM - A L Y I D T E
GT F - - - RP ER
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DS L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DS L L K -
GGV E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CNAVDYH
DARQN - - - - -
- - - L I K F T TG
SKQL DS L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CSAQE Y L
EAREN - - - - -
- - - L I R F T TG
S VQL DS L L K -
GG I E TGN L T E
L FGE F R TGK T
QL CH T L AV T C
QL P I EQAGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CSAQE Y L
EAREN - - - - -
- - - L I R F T TG
S VQL DS L L K -
GG I E TGN L T E
L FGE F R TGK T
QL CH T L AV T C
QL P I EQAGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DS L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CSGQDY L
EARGN - - - - -
- - - L I K F T TG
S SQL DK L LQ -
GGV E TGS I T E
I I GE F K TGKS
QL CH T L AV T C
QL P V EQSGGE
GK - C LWVDS E
GT F - - - RP ER
- GF CSGQDY L
EARGN - - - - -
- - - L I K F T TG
SAQL DK L LQ -
GGV E TGS I T E
I I GE F K TGKS
QL CH T L AV T C
QL P V EQSGGE
GK - C LWVDS E
GT F - - - RP ER
- GF CSGQDY L
QARGN - - - - -
- - - L I K F T TG
S VQF D T L LQ -
GG I E TGS I T E
V I GE F K TGKS
QL CH T L AV T C
QL P V EQSGGE
GK - C LW I DS E
GT F - - - RP ER
- GF CSAHDY L
EARGN - - - - -
- - - L I K F T TG
S VQL DV L L K -
GG I E TGS I T E
I I GE F K TGKS
QL CH T L S V T C
QL P V EQSGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CSGT E Y L
EAR T N - - - - -
- - - L I K F T TG
S SQL DR L LQ -
GG I E TGS I T E
I FGE F R TGK T
QL CH T L AV T C
QL P V EHKGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CSGT E Y L
EAR T N - - - - -
- - - L I K F T TG
S SQL DR L LQ -
GG I E TGS I T E
I FGE F R TGK T
QL CH T L AV T C
QL P V EHKGGE
GK - C LW I D T E
GT F - - - RP ER
- GF CSGS E Y L
QAR T N - - - - -
- - - L I R F T TG
SKQL DR L LQ -
GG I E TGN I T E
I FGE F R TGK T
QL CH T L AV T C
QL P V EHNGGE
GK - C LW I D T E
GT F - - - RP ER
- GF C L A T N F L
EARQN - - - - -
- - - L I R F T TG
S VD L DR I LQ -
GG I E SGS I T E
I FGE F R TGK T
QL CH T L AV T C
QL P VD L AGGD
GR - C LW I D T E
GT F - - - RP ER
- D FQT AAE Y Y
VKRQS - - - - -
- - - V I N L T TG
S T E L DK L LG -
GGF E TGS L T E
I FGE F R TGK T
Q I CH T L C I T C
QL PKEKGGGE
GK - AMY I D T E
GT F - - - RP ER
- QF KPA T DV L
KQRER - - - - -
- - - I VH I S TG
S T K F DK L L R -
GG I E TGG I T E
I FGE F R TGKS
Q I CH T L AV T C
QMNDGKGRPG
GK - C L Y I D T E
GT F - - - RP ER
- GF T SASQL H
AQR L E - - - - -
- - - I I QV T TG
SRE L DK I L D -
GG I E TGS I T E
I YGE F RSGK T
QL CH T L CV T C
QL P L DQGGGE
GK - A L Y I DAE
GT F - - - RPQR
- GF T T AAAVA
EQRKE - - - - -
- - - V I S I T TG
CKE L D T I L E -
GG I E TGS I T E
I YGE YRCGK T
QL CH T L CV T C
QL P V EMGGGE
GK - AMY I D T E
GT F - - - RPQR
- GF CSA F T CY
QMRQD - - - - -
- - - L I H L T TG
SRE I DR I L K -
GG I E TGS I T E
L FGE F R TGK T
Q I CH T L CV T C
QL S I DQGGGE
GR - V L Y I D T E
GT F - - - RP ER
PA T - T AAS L L
RSK L T NHSGT
AQQNRQ I V S F
SQS L DV L LG -
GGVA L AE L T E
I VGRPGSGK T
QL TMQL CVDA
R L P SKYGGV E
GS - V V V I DAE
GSWSCSGMDR
P V T K T AAA L L
E ENV EGQGC -
- - - - - - I I T F
CRHVD T L LG -
GG I AMGE L T E
I AGP PGVGK T
QWGMQL AVDA
R L PN T FGGVA
GE - T V Y VD T E
GS F S - - - P ER
PAV - - SAR L L
F EAERAQV - -
- - - - - R I I T F
S S E L DR L LG -
GG I ARGQV T E
F CGAPGLGK T
Q I GMQL A I DV
Q I PAV FGGL E
GE - AV Y I - - E
GS FM - - - L RR
PGCR T VREMH
AE FQARQA - -
QGF S T HV T T F
SGE L DGV LG -
GGV P VGGV T E
I SGP PGVGK T
QL LMQL AV SC
AMP V E FGGMG
GA - C L F VD T E
GS F VAER L EQ
- - - - - - - - - -
- - - - - - - - - -
- - - V E T I S TG
S L S L D I A LGA
GGL PMGR I V E
I YGP E S SGK T
T L - - T LQV - -
- - - I AAAQRE
GK T CA F I DAE
HA L DP I YARK - D I C T AAE Y L
ECR L N - - - - -
- - - L I K F T TG
S T A L DA L LQ -
GG I E SGS I T E
I I GD F S TGK T
QL CH T L A I T S
QL P I EQNGGE
GK - C LW I D TQ
NS F
NQYC T L ERSK
EAQL ND - - - -
- - - - - - - - - -
- - A L NR L Y Y I
P V YNMRD L P P
I LMA L DS Y I S
VH F TQ I M I L D
S L P L KQ - GSR
WNP V F DS V I K
G I R
P S F T E S - - - -
- - - - - - - - - -
- - - - - - I S LG
I T E I DDA LG -
DC L L LGML T E
I YGE SGSGK T
QVA L T L - VAE
E L VRMQEADS
NDVML Y FQT S
RA F
- P F I NKRNSC
DS T V E V F S VD
P E - - L KR T PD
S S F L F SD L - -
- - CRS SG I AE
I TGGSGSGK T
S F CVGL - - - -
- - - VN I S SG -
- - L T L Y I D T N
GS L
- GF CSA T DY L
EAREN - - - - -
- - - L I K F T TG
S T A L DV L LQ -
GGV E TGN I T E
I FGE F K TGK T
QL CH T L AV T C
QL P V EQSGGE
GK - C LW I D T E
GT F
- GF CSA T DY L
EAREN - - - - -
- - - L I K F T TG
S T A L DA L LQ -
GGV E TGN I T E
I FGE F K TGK T
QL CH T L AV T C
QL P V EQSGGE
GK - C LW I D T E
GT F
- GF CSANE Y L
EAREN - - - - -
- - - L I K F T TG
S VQL DQL LQ -
GGV E TGN I T E
I FGE F R TGK T
QL CH T L AV T C
QL P V ECSGGE
GK - C LW I D T E
GT F
- GF T T A T E F H
QRRS E - - - - -
- - - I I Q I T TG
SKE L DK L LQ -
GG I E TGS I T E
MFGE F R TGK T
Q I CH T L AV T C
QL P I DRGGGE
GK - AMY I D T E
GT F
- GF V T AAD F H
MRRS E - - - - -
- - - L I C L T TG
SKN L D T L LG -
GGV E TGS I T E
L FGE F R TGKS
QL CH T L AV T C
Q I P L D I GGGE
GK - C L Y I D T E
GT F
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F
- GF CSAQE Y L
EAREN - - - - -
- - - L I R F T TG
S VQL DS L L K -
GG I E TGN L T E
L FGE F R TGK T
QL CH T L AV T C
QL P I EQAGGE
GK - C LW I D T E
GT F
- GF T RA T V FQ
EQRKE - - - - -
- - - T I MV T TG
SRE VDK L LG -
GG I E VGS I T E
L FGE F R TGK T
QL CH T L CV T C
QL P L SQGGGE
GM - A L Y I D T E
GT F
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DS L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DS L L K -
GGV E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DA L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F
- GF CNAVDYH
DARQN - - - - -
- - - L I K F T TG
SKQL DS L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F
- GF CSAQE Y L
EAREN - - - - -
- - - L I R F T TG
S VQL DS L L K -
GG I E TGN L T E
L FGE F R TGK T
QL CH T L AV T C
QL P I EQAGGE
GK - C LW I D T E
GT F
- GF CSAQE Y L
EAREN - - - - -
- - - L I R F T TG
S VQL DS L L K -
GG I E TGN L T E
L FGE F R TGK T
QL CH T L AV T C
QL P I EQAGGE
GK - C LW I D T E
GT F
- GF CNA I DYH
DARQN - - - - -
- - - L I K F T TG
SKQL DS L L K -
GG I E TGG I T E
L FGE F R TGKS
QL CH T L A I T C
QL P I EQSGGE
GK - C LW I D T E
GT F
- GF CSGQDY L
EARGN - - - - -
- - - L I K F T TG
S SQL DK L LQ -
GGV E TGS I T E
I I GE F K TGKS
QL CH T L AV T C
QL P V EQSGGE
GK - C LWVDS E
GT F
- GF CSGQDY L
EARGN - - - - -
- - - L I K F T TG
SAQL DK L LQ -
GGV E TGS I T E
I I GE F K TGKS
QL CH T L AV T C
QL P V EQSGGE
GK - C LWVDS E
GT F
- GF CSGQDY L
QARGN - - - - -
- - - L I K F T TG
S VQF D T L LQ -
GG I E TGS I T E
V I GE F K TGKS
QL CH T L AV T C
QL P V EQSGGE
GK - C LW I DS E
GT F
- GF CSAHDY L
EARGN - - - - -
- - - L I K F T TG
S VQL DV L L K -
GG I E TGS I T E
I I GE F K TGKS
QL CH T L S V T C
QL P V EQSGGE
GK - C LW I D T E
GT F
- GF CSGT E Y L
EAR T N - - - - -
- - - L I K F T TG
S SQL DR L LQ -
GG I E TGS I T E
I FGE F R TGK T
QL CH T L AV T C
QL P V EHKGGE
GK - C LW I D T E
GT F
- GF CSGT E Y L
EAR T N - - - - -
- - - L I K F T TG
S SQL DR L LQ -
GG I E TGS I T E
I FGE F R TGK T
QL CH T L AV T C
QL P V EHKGGE
GK - C LW I D T E
GT F
- GF CSGS E Y L
QAR T N - - - - -
- - - L I R F T TG
SKQL DR L LQ -
GG I E TGN I T E
I FGE F R TGK T
QL CH T L AV T C
QL P V EHNGGE
GK - C LW I D T E
GT F
- GF C L A T N F L
EARQN - - - - -
- - - L I R F T TG
S VD L DR I LQ -
GG I E SGS I T E
I FGE F R TGK T
QL CH T L AV T C
QL P VD L AGGD
GR - C LW I D T E
GT F
- D FQT AAE Y Y
VKRQS - - - - -
- - - V I N L T TG
S T E L DK L LG -
GGF E TGS L T E
I FGE F R TGK T
Q I CH T L C I T C
QL PKEKGGGE
GK - AMY I D T E
GT F
- QF KPA T DV L
KQRER - - - - -
- - - I VH I S TG
S T K F DK L L R -
GG I E TGG I T E
I FGE F R TGKS
Q I CH T L AV T C
QMNDGKGRPG
GK - C L Y I D T E
GT F
- GF T SASQL H
AQR L E - - - - -
- - - I I QV T TG
SRE L DK I L D -
GG I E TGS I T E
I YGE F RSGK T
QL CH T L CV T C
QL P L DQGGGE
GK - A L Y I DAE
GT F
- GF T T AAAVA
EQRKE - - - - -
- - - V I S I T TG
CKE L D T I L E -
GG I E TGS I T E
I YGE YRCGK T
QL CH T L CV T C
QL P V EMGGGE
GK - AMY I D T E
GT F
- GF CSA F T CY
QMRQD - - - - -
- - - L I H L T TG
SRE I DR I L K -
GG I E TGS I T E
L FGE F R TGK T
Q I CH T L CV T C
QL S I DQGGGE
GR - V L Y I D T E
GT F
PA T - T AAS L L
RSK L T NHSGT
AQQNRQ I V S F
SQS L DV L LG -
GGVA L AE L T E
I VGRPGSGK T
QL TMQL CVDA
R L P SKYGGV E
GS - V V V I DAE
GSW
P V T K T AAA L L
E ENV EGQGC -
- - - - - - I I T F
CRHVD T L LG -
GG I AMGE L T E
I AGP PGVGK T
QWGMQL AVDA
R L PN T FGGVA
GE - T V Y VD T E
GS F
PAV - - SAR L L
F EAERAQV - -
- - - - - R I I T F
S S E L DR L LG -
GG I ARGQV T E
F CGAPGLGK T
Q I GMQL A I DV
Q I PAV FGGL E
GE - AV Y I - - E
GS F
PGCR T VREMH
AE FQARQA - -
QGF S T HV T T F
SGE L DGV LG -
GGV P VGGV T E
I SGP PGVGK T
QL LMQL AV SC
AMP V E FGGMG
GA - C L F VD T E
GS F
- - - - - - - - - -
- - - - - - - - - -
- - - V E T I S TG
S L S L D I A LGA
GGL PMGR I V E
I YGP E S SGK T
T L - - T LQV - -
- - - I AAAQRE
GK T CA F I DAE
HA L 3 LGP I ANR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL SHAECVA
N I V Y VK - - - -
V SN - - - - - - -
L L L L Y T K I EN
KGR T AA F TMK
RP I T P EMSMG
MNRNAPNNQE
E F NKV L H F A I
P L YW - - - - - -
- - - - - - - - - -
- - LMPAP S I E
EA I YA F HP T F
AYNE PKEGT N
I I EHKRK - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - SKNSR F KG
AP LGPRE I AK
H L R I YRP S E P
T L - - - - - - - -
- I L NQER F L -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - Y
L R L F DHE E L D
- I A L S E F YDA
L V - - - - - - - -
V VA I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL S PASC L E
N I AYAK - - - -
AYN - - - - - - -
I VA I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL S PANC L E
N I AYAK - - - -
AYN - - - - - - -
I VA I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL S P SDC L D
N I AYAK - - - -
AYNCGMY S F V
L L AVAERY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL SGSDV L D
NVAYAR - - - -
A F N - - - - - - -
L V S I AQR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL DPDDA L N
NVAYAR - - - -
AYN - - - - - - -
I VA I AKRY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL HP T DC L N
N I AYAK - - - -
AYN - - - - - - -
I V S I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL NANDC L D
NVAYAR - - - -
AYN - - - - - - -
L VAVAERY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- S L DP EAV L E
NVACAR - - - -
AYN - - - - - - -
I VA I AKRY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL HP T DC L N
N I AYAK - - - -
AYN - - - - - - -
I VA I AKRY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL HP T DC L N
N I AYAK - - - -
AYN - - - - - - -
I VA I AKRY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL HP T DC L N
N I AYAK - - - -
AYN - - - - - - -
I VA I AKRY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL HP T DC L N
N I AYAK - - - -
AYN - - - - - - -
I VA I AKRY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL HP T DC L N
N I AYAK - - - -
AYN - - - - - - -
I VA I AKRY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL HP T DC L N
N I AYAK - - - -
AYN - - - - - - -
I VA I AKRY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL HP T DC L N
N I AYAK - - - -
AYN - - - - - - -
I VA I AKRY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL HP T DC L N
N I AYAK - - - -
AYN - - - - - - -
I V S I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL NANDC L D
NVAYAR - - - -
AYN - - - - - - -
I V S I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL NANDC L D
NVAYAR - - - -
AYN - - - - - - -
I VA I AKRY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL HP T DC L N
N I AYAK - - - -
AYN - - - - - - -
I V S I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL S P SDC L D
NVAYAR - - - -
AYN - - - - - - -
I V S I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL S P SDC L D
NVAYAR - - - -
AYN - - - - - - -
I V S I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL S P SDC L D
NVAYAR - - - -
AYN - - - - - - -
V V S I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL S P SDC L D
N I AYAK - - - -
AYN - - - - - - -
I VQ I ADR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- N L NASDC L D
N I AYAR - - - -
GF N - - - - - - -
I VQ I ADR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- N L NASDC L D
N I AYAR - - - -
GF N - - - - - - -
I VQ I AER F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- S L NASDC L D
N I AYAR - - - -
GF N - - - - - - -
V VA I AERY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- QL T PHV V L D
N I I YGR - - - -
A F N - - - - - - -
L E S I AER F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL DPQECME
NVAYAR - - - -
A F N - - - - - - -
L S E I AKR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- E LG I E E V L E
NV S F AR - - - -
AYN - - - - - - -
L LQ I ADR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL NGADV L E
NVAYAR - - - -
AYN - - - - - - -
L SQ I AERY - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GL AP EDV L N
NVAYAR - - - -
AHN - - - - - - -
I VA I ANR F - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- N L NQQDV L D
N I A F AR - - - -
AYN - - - - - - -
LWDMS VA L VD
H L - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
RGSAARRVAA
KNAMEGRADV
PAS ENE I NS L
V S L T P E S L L E
G I H I F R - - - -
VHDE P SQT S T
CHDMA T S L VQ
H I - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
EAGRRRRQEK
GQK LQ - - - PM
PAW - - - - - - -
- - F APD T I LQ
G I HV YR - - - -
VHDEAAQT S V
I AQMADAA L L
H L - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
ERVAEAKNDA
SRRAAS - - - -
- - - - - - - - - -
AS L SRDA L L D
G I H F F R - - - -
VRDACEQ - - -
MA T AAV S L VR
A I L L TQPQP P
QHE T T VAP S S
DAR L SQE S PK
KRGRS P P L DS
RKASRSHGHC
T D LGAAPG I Q
AE F T V E S V LQ
RVHY I R - - - -
V T D L AGL L A L
L - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GVD - - - - I D
N L L CSQ - - - -
P - - - - - - - - - - - - - - - - - - -
- - - - - - - - - -
- - - - - - T EQQ
F DML V EAAHY
MAQSR F AML I
VDSA T A L YR T
- - DY TGRGE L
AA - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
S SGER T Y YHR
- - - - - - - - - -
- - - - - - - - HN
QQT V L E P T S -
- - - HDV T L F L
I P SR T K F F ER
Y - E Y LG - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - F L
E E L RN L HADV
GAS YH I R L I V
I DS I AC L FGD
CMEDKDADNA
S - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - E
DNY L AR F S S I
RARS - V S T L I
VDS LWP L - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T DHQ
ME L L V EAAN I
MAQAR F A L L I
VDSA T A L YRS
- - DY TGRS E L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T DHQ
L E L L I EAAN I
MAQT R F A L L I
VDSA T A L YRS
- - DY SGRGE L
AN - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
VNS S L F L C F -
- - - - - - - - - -
- - - - - Y T EHQ
L E L L V EA T AM
MAE SR F A L V I
VDSA T A L YRS
- - E Y LGRGE L
AN - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T DHQ
TQL L YQASAM
MV E SRYA L L I
VDSA T A L YR T
- - DY SGRGE L
SA - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - ADHQ
L R L L DAAAQM
MS E SR F S L I V
VDS VMA L YR T
- - D F SGRGE L
SA - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
T E L L I DASAM
MADAR F A L L I
VDSA T A L YRS
- - E Y I GRGE L
AN - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
ME L LMEASAM
MAE SR F A L L I
VDSA T A L YRS
- - E Y TGRGE L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T DHQ
QQL L LQASA T
MAEHRVA I I V
VDSA T A L YR T
- - DYNGRGE L
AA - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
T E L L I DASAM
MADAR F A L L I
VDSA T A L YRS
- - E Y I GRGE L
AN - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
T E L L I DASAM
MADAR F A L L I
VDSA T A L YRS
- - E Y I GRGE L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
T E L L I DASAM
MAD T R F A L L I
VDSA T A L YRS
- - E Y I GRGE L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
T E L L I DASAM
MAD T R F A L L I
VDSA T A L YRS
- - E Y TGRGE L
AN - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
T E L L I DASAM
MAD T R F A L L I
VDSA T A L YRS
- - E Y TGRGE L
AN - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
T E L L I DASAM
MAD T R F A L L I
VDSA T A L YRS
- - E Y TGRGE L
AN - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
T E L L I DASAM
MAD T R F A L L I
VDSA T A L YRS
- - E Y TGRGE L
AN - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
T E L L I DASAM
MADAR F A L L I
VDSA T A L YRS
- - E Y I GRGE L
AN - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
ME L LMEASAM
MAE SR F A L L I
VDSA T A L YRS
- - E Y TGRGE L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
ME L LMEASAM
MAE SR F A L L I
VDSA T A L YRS
- - E Y TGRGE L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
T E L L I DASAM
MADAR F A L L I
V - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T DHQ
L E L L V EASAM
MAQT R F A L L I
VDSA T S L YRS
- - DY SGRGE L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T DHQ
L E L L V EASAM
MAQT R F A L L I
VDSA T S L YRS
- - DY SGRGE L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T DHQ
L E L L V EA T AM
MSQT R F A L L I
VDSA T A L YRS
- - DY SGRGE L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDHQ
L E L L V EA T AM
MSQAR F A L L I
VDSA T A L YRS
- - DY SGRGE L
S T - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T EHQ
MD L LQSAVAM
MT E SR F A LM I
VDSA T A L YRS
- - E YNGRGE L
A T - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T EHQ
MD L LQSAVAM
MT E SR F A LM I
VDSA T A L YRS
- - E YNGRGE L
A T - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T EHQ
MD L LQSAVAM
MS E SR F A LM I
VDSA T A L YRS
- - E YNGRGE L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T DH L
LQL L V E SAA I
MAK T R F A L V V
I DS I I S L YRS
- - E F AGRGE L
AS - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - CDQQ
NK L L VQAAA L
MAE SKYA L L I
VDSA T A L YR T
- - DY SGRGE L
S V - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - VDEQ
MK L L I QACN L
MS T DKYA L L I
VDSA T A L YR T
- - DY LGRGE L
SA - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T DHQ
SR L L L EAASM
MV E T R F A I M I
VDSA T A L YR T
- - D F SGRGE L
SA - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T EHQ
MR L LQEAAGM
MADSR F S L V V
VDSA T A L YR T
- - E F NGRGE L
S I - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - T DHQ
T E L L NQACGM
MAENRYAML I
VDSA T A L YR T
- - DY TGRGE L
AP - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
L Y S L PK F L L K
QE - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
EAG I P VK L V V
I DS L A - - - - -
- - - F HYRVAS
SAAAGSGQS -
- - - - - - - - - -
- - - - - - - - NS
L Y S L PK F LQD
RQ - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
EAGT P VR L V V
VDSMA - - - - -
- - - F HHRAAP
P - - - - - - NS -
- - - - - - - - - -
- - - - - - - - D F
- - SHPK - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - VR L V V
L DS V S - - - - -
- - - F H L RA L E
S SDAP SAP S -
- - - - - - - - - -
- - - - - - - - T A
L HS L P SWF E E
ER T AEAKS VG
T SGT AD T P T R
S SGQGDS S VN
SARAAVQMV L
I DS I A L P F RS
S ED F HREGLM
S S TGS SGDSA
MH L L VD TGRS
AAHNS L F LQS
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - D TG
EQA L E I CDA L
ARSGAVDV I V
VDS VAA L - - -
T PKAE I EGE I
GDS - - - - - - -
- - - - - - - - - -
- - - - - - - - - - 5 - - - - - - - - - -
- - RQMS LGKY
F RA L KR L AD I
YGVAV V V - T N
QVMA - RVDNM
S S FM - - - - - -
- - - - - - - - - -
- - - - - - - - - -
GGNDKV P VGG
HV VAQN TQT R
- - - - - C I YNV
SMAPNS L P P V
S T EC T KKA T C
I P V SK I - - - T
D I T S - QDDEA
- - - - - - - - - -
- - - PKWK L KQ
QL LQS SGP PD
I GT DEMD I D T
N L V VKEQNNE
- - - - - - - - - -
- - - MN T L L NV
AS I L KR L AHQ
KNA L I L L - I N
EA I AGN L DAS
AGTGMT H T L V
- - - - - - - - - -
- - - - - - - - - -
- - - - - T PA LG
D LWSQA I NCR
- - - - - C L L S Y
AERVKY I VQL
CY V L RD I SWT
YKVMV L VC T N
DS YW - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - DNKP I EN
EKDERQE S VK
- - - - - - - - - -
- - RQMH L CR F
L RA LQR I AD T
FGVAV V I - SN
QV I S - KVDNM
A - S F YG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GNDKMP I GG
N I I AHASQT R
- - - - - - - - - -
- - RQMH L CR F
L RA LQR I AD T
FGVAV V I - SN
QV L S - KVDNM
A - S F YG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GNDKMP VGG
N I I AHASQT R
- - - - - - - - - -
- - RQMH L CQF
L RS LQR I AD T
FGVACV I - SN
QV VC - KVGDM
S - SMFG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GNDK L P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQMH L AR F
L RML L R L ADE
FGVAV V I - T N
QV VA - QVDGA
A - MF - - - - - -
- - - - - - - - - -
- - - - - - - - - -
AADPKKP I GG
N I I AHAS T T R
- - - - - - - - - -
- - RQMH L AK F
MRA LQR L ADQ
FGVAV V V - T N
QV VA - QVDGG
MA - F - - - - - -
- - - - - - - - - -
- - - - - - - - - -
NPDPKKP I GG
N I MAHS S T T R
- - - - - - - - - -
- - RQSH L CR F
L RGLQR I AD I
YGVAV I I - T N
QV VA - KVDAM
S - - MFG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GHEK I P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQT H L CR F
L RC LQR I AD T
YGVAV V V - SN
QV VA - KVDNM
GG - MF S - - - -
- - - - - - - - - -
- - - - - - - - - -
- GNEK L P I GG
N I MAHASQT R
- - - - - - - - - -
- - RQMH LGK F
L RS L RN L ANE
YNVAV V V - T N
QV VA - NVDGA
AP T F - - - - - -
- - - - - - - - - -
- - - - - - - - - -
QADSKKP I GG
H I MAHAS T T R
- - - - - - - - - -
- - RQSH L CR F
L RGLQR I AD I
YGVAV I I - T N
QV VA - KVDAM
S - - MFG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GHEK I P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQSH L CR F
L RGLQR I AD I
YGVAV I I - T N
QV VA - KVDAM
S - - MFG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GHEK I P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQSH L CR F
L RGLQR I AD I
YGVAV I I - T N
QV VA - KVDAM
S - - MFG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GHEK I P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQSH L CR F
L RGLQR I AD I
YGVAV I I - T N
QV VA - KVDAM
S - - MFG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GHEK I P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQSH L CR F
L RGLQR I AD I
YGVAV I I - T N
QV VA - KVDAM
S - - MFG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GHEK I P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQSH L CR F
L RGLQR I AD I
YGVAV I I - T N
QV VA - KVDAM
S - - MFG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GHEK L P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQSH L CR F
L RGLQR I AD I
YGVAV I I - T N
QV VA - KVDAM
S - - MFG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GHEK L P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQSH L CR F
L RGLQR I AD I
YGVAV I I - T N
QV VA - KVDAM
N - - V FG - - - -
- - - - - - - - - -
- - - - - - - - - -
- GNDK I P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQT H L CR F
L RC LQR I AD T
YGVAV V V - SN
QV VA - KVDNM
GG - MF S - - - -
- - - - - - - - - -
- - - - - - - - - -
- GNEK L P I GG
N I MAHASQT R
- - - - - - - - - -
- - RQT H L CR F
L RC LQR I AD T
YGVAV V V - SN
QV VA - KVDNM
GGGMF A - - - -
- - - - - - - - - -
- - - - - - - - - -
- GNEK L P I GG
N I MAHASQT R
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - RQMH L CK F
L RA LQR I AD T
FGVAV V I - T N
QV VA - RVDAM
S - T F FG I L L L
Y I I I YCY I L I
N I CK F Y I DK F
VGNDK L P VGG
H I I AHASQT R
- - - - - - - - - -
- - RQMH L CK F
L RA LQR I AD T
FGVAV V I - T N
QV VA - KVDAM
S - T F FG - - - -
- - - - - - - - - -
- - - - - - - - - -
- - NDK L P VGG
H I I AHASQT R
- - - - - - - - - -
- - RQMH L CK F
L RA LQR I AD T
FGVAV V I - T N
QV I A - KVDAM
S - S F FG - - - -
- - - - - - - - - -
- - - - - - - - - -
- - NDK L P VGG
H I I AHASQT R
- - - - - - - - - -
- - RQMH L CK F
L RA LQR I AD T
FGVAV V I - T N
QV V S - RVDAV
A - S F FG - - - -
- - - - - - - - - -
- - - - - - - - - -
- - NDK I P I GG
N I MAHASQT R
- - - - - - - - - -
- - RQSH LGQF
L RA LQK I AD T
FGVAV V I - T N
QVMS - KVDAM
AAMFQ - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - NDKV P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQSH LGQF
L RA LQK I AD T
FGVAV V I - T N
QVMS - KVDAM
AAMFQ - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - NDKV P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQSH LGQF
L RGLQK I AD T
FGVAV I I - T N
QVMS - KVDAM
AA I FQ - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - NDKV P I GG
N I I AHASQT R
- - - - - - - - - -
- - RQMH LGRV
L R T LQR I AD T
FGVGV I L - T N
QVMA - KVDGM
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - I
PGNDKQP TGG
HV L AHASQT R
- - - - - - - - - -
- - RQNH LGK F
L RN LQR L ADE
FG I AV V I - T N
QVMS - QVDGA
A - MF - - - - - -
- - - - - - - - - -
- - - - - - - - - -
AGDMKKP I GG
N I MAHAS T T R
- - - - - - - - - -
- - RQNH LGK F
L RN LQR L ADE
F NVAV V I - T N
QVMS - QV EGT
M - MA - - - - - -
- - - - - - - - - -
- - - - - - - - - -
MGDQKKP I GG
N I MAHAS T T R
- - - - - - - - - -
- - RQMH L AK F
L RS LQK L ADE
FGVAV V I - T N
QV VA - QVDGA
A - MF - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- GPQ I KP I GG
N I MAHAS T T R
- - - - - - - - - -
- - RQ I L LGR F
L RA LQN I ADE
YGVAV V V - T N
QV VA - NPDGA
GAMF - - - - - -
- - - - - - - - - -
- - - - - - - - - -
AGPQT KP I GG
N I MAHA T T T R
- - - - - - - - - -
- - RQQHMAK F
L RR LQR L ADE
FG I A I V I - T N
QV I A - KV EG -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - GV YC
I PDSKKP VGG
NV I AHASQT R
L S T - - - - - - -
- - - T HN L T RM
AA F L T DMANE
F D L AV VA - I N
H L T T - R I DKD
SNSN - GG - - -
- - - - - SN T K -
- - - - - - - - - -
- - - - L V PA LG
E SWAHS V T SR
VGR - - - - - - -
- - - T RS L T SQ
AA F L T N L AAQ
SG I AV VA - I N
QMT T - KMT T S
EAS - - - - - - -
- - - - - - - - K -
- - - - - - - - - -
- - - - QV PA LG
E SWAHAV T T R
AP T PGT VAPA
P PRSRQL AQL
ASA L S S L A T R
HHVAV V L - T N
QL T T - R L T SA
T E T P - LGGP S
L PAPDAGAR -
- - - - - - - - - -
- - - - L V PA LG
EGWL HAC T SR
PNR L L SKHGL
WRRSR L L FQC
S T L L EGL AA T
FQL A I V V - T N
HMT T - KV L HG
T AAN - GT ANG
S SAE E SGCSA
PNS E ENAGQR
RQS V L V PA LG
DAWGQGL S T R
- - - - - - - - HM
GL AARMMSQA
MRK L AGN L KQ
SN T L L I F - I N
Q I RM - K I GVM
FGNP E T T TGG
NA L K F YAS VR
L D I RR I GAVK
EGENV - - VGS
E T RVKV VKNK 6 L F L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KAR
GNSRVCK - V Y
NS P S L - - - - -
- - - - - - - - - -
P EGEAV F A I A
EG - G I VDYDD
AMY - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - PKAK
QQT R T VMN T A
- NP T I N L E I L
QK L R F RR F R I
SKDAML Y - - -
- - - - - - - - - -
I L I EA I R - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - S S S
S T RR F L R I L F
NC - - - - - - - -
- - - - - - - NGP
P S I P L D F K I A
AS - G I RACR -
DY F T SRCY VQ
V S F KN I L S F N
DYNCS T YGV Y
PAKRDP I TGR
V - - - - - - R T S
L E VRR LMN I Y
AGT C F - - - - -
- - - - - - - - - -
- SGHS I N I S I
KRHGL E I F KE
L F L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KSR
GDSR I CK - I Y
DS P S L - - - - -
- - - - - - - - - -
P EGEAV FG I T
EG - G I DDYND
L F L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KSR
GDSR I CK - I Y
DS P S L - - - - -
- - - - - - - - - -
P EGEAV FG I T
EG - G I DDY T D
L F L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGK
GDSR I CK - I Y
DS P S L - - - - -
- - - - - - - - - -
P EGEA I F C I S
QG - G I KDCDD
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE T R I CK - I Y
DS PC L - - - - -
- - - - - - - - - -
P EAEAMF A I N
AD - GVGDAKD
LGF K - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGK
GCQR L CK - V V
DS PC L - - - - -
- - - - - - - - - -
P EAECV F A I Y
ED - GVGDPRE
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
EG - G I ADY E E
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P S L - - - - -
- - - - - - - - - -
AEGEAV F A I G
EG - G I GDY ED
L S L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GEQR I I K - V Y
DS PC L - - - - -
- - - - - - - - - -
AE S EA I FG I Y
EN - GVGDVRD
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
EG - G I ADY E E
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
EG - G I ADY E E
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
EG - G I ADY E E
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
EG - G I ADY E E
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
EG - G I ADY E E
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
EG - G I ADY E E
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
EG - G I ADY E E
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KSR
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EAEAV F A I T
EG - G I ADY E E
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P S L - - - - -
- - - - - - - - - -
AEGEAV F A I G
EG - G I GDY ED
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS P S L - - - - -
- - - - - - - - - -
AEGEAV F A I G
EG - G I GDY ED
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
L F L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - QSK
GE SR I CK - V Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
DG - G I NDYHD
L F L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - QSK
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
DG - G I NDYHD
L F L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - QSK
GE SR I CK - V Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F A I T
DG - G I SDYQD
L F L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - QSK
GE SR I CK - I Y
DS P V L - - - - -
- - - - - - - - - -
P EGEAV F S I T
DG - G I SDYND
L F L K - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE T R I CK - I Y
DS PN L - - - - -
- - - - - - - - - -
P EGDA T F S I T
EG - G I NDPKD
L F L K - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE T R I CK - I Y
DS PN L - - - - -
- - - - - - - - - -
P EGDA T F S I T
EG - G I NDPKD
L Y L K - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
AE T R I CK - I Y
DS PN L - - - - -
- - - - - - - - - -
P EGD T A F A I T
EG - G I NDPND
L YMK - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGK
GQNRVCK - I V
DS PN L - - - - -
- - - - - - - - - -
P EAEAQF S I K
EG - G I DKADN
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GE SR I CK - I Y
DS PC L - - - - -
- - - - - - - - - -
P E S EA I YA I G
KG - G I ED F NE
L Y L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GENR I VK - I Y
DS PC L - - - - -
- - - - - - - - - -
P E S E EQY T I S
PG - G I DDCAD
L F L R - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
AE ER I CK - V V
S S PC L - - - - -
- - - - - - - - - -
AEAEAR FQ I S
P E - GV T DVKD
L S VR - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KGR
GENRV VK - I I
AS P S L - - - - -
- - - - - - - - - -
P EREAN F A I G
QE - GV T DAKD
L Y L K - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - KNK
GNNR T CK - I Y
DS PN L - - - - -
- - - - - - - - - -
P SNECV F S I S
E L - G I GDP I D
LM I DHYRH - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - PQF DMNE
V - - RS V S - L L
KS PHK - - - - -
- - - - - - - - - -
P PGT A L L L I T
EK - G I RGV P S
I L L SR - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - P I SD T NG
V - - R T C T - L V
KS PR L - - - - -
- - - - - - - - - -
ASGSADYQ I L
QC - G I RGVDA
VR L EW - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - - - -
- - - - - - - REG
A - - RVAR - L E
KS P S L - - - - -
- - - - - - - - - -
PGGCAA F DV T
AE - GVRGVRS
L L L S F HHYDV
PACS F ADRP T
S P SAA T EC T E
DV V Y S L S SQQ
QQL P T S L RRV
VQHRV VR - V L
KCSGQ - - - - -
- - - - - - - - - -
PRRE T C F AV T
SK - G I RDARR
I AAP F KQAE F
Q I L YGEG I N F
YGE L VD LGVK
EK L I EKAGAW
Y S YKGEK I GQ
GKANA T AWL K
DNP E T AKE I E
KKVRE L L L SN
PNS T PD F S VD
DS EGVAE T NE 7 S S V - - - - - - -
- - - - - - - -
- - - - - - - - - -
- - - - - - - F
- - - - - - - - - -
- - V T H I DG
- - - - - - - - - -
- - - - - - - -
KS L * - - - - - -
- - - - - - - -
KS L * - - - - - -
- - - - - - - -
KS L HS - - - - -
- - - - - - - S
- - - - - - - - - -
- - - - - - - -
ED - - - - - - - -
- - - - - - - E
K - - - - - - - - -
- - - - - - - -
N - - - - - - - - -
- - - - - - - -
- - - - - - - - - -
- - - - - - - -
K - - - - - - - - -
- - - - - - - -
K - - - - - - - - -
- - - - - - - -
K - - - - - - - - -
- - - - - - - -
K - - - - - - - - -
- - - - - - - -
K - - - - - - - - -
- - - - - - - -
K - - - - - - - - -
- - - - - - - -
K - - - - - - - - -
- - - - - - - -
K - - - - - - - - -
- - - - - - - -
N - - - - - - - - -
- - - - - - - -
N - - - - - - - - -
- - - - - - - -
- - - - - - - - - -
- - - - - - - -
R - - - - - - - - -
- - - - - - - -
R - - - - - - - - -
- - - - - - - -
H - - - - - - - - -
- - - - - - - -
H - - - - - - - - -
- - - - - - - -
EK - - - - - - - -
- - - - - - - -
EK - - - - - - - -
- - - - - - - -
EK - - - - - - - -
- - - - - - - S
- - - - - - - - - -
- - - - - - - -
- - - - - - - - - -
- - - - - - - -
- - - - - - - - - -
- - - - - - - -
- - - - - - - - - -
- - - - - - - -
- - - - - - - - - -
- - - - - - - -
- - - - - - - - - -
- - - - - - - -
- - - - - - - - - -
- - - - - - - T
VHV SDGP - - -
- - - KRQR T
- - - - DKK - - -
- - - RGRGE
DMV SQRVA T A
I RGRE PHK
D - - - - - - - - -
- - - - - - - F 8
|
https://openalex.org/W2918036813
|
https://cdr.lib.unc.edu/downloads/9019s476s
|
English
| null |
Journal of Neurodevelopmental Disorders reviewer acknowledgement 2015
|
Journal of neurodevelopmental disorders
| 2,016
|
cc-by
| 786
|
REVIEWER ACKNOWLEDGEMENT Open Access REVIEWER ACKNOWLEDGEMENT Journal of Neurodevelopmental Disorders
reviewer acknowledgement 2012 Joseph Piven © 2013 Piven; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work is properly cited. Contributing reviewers The editors of Journal of Neurodevelopmental Disorders would like to thank all of our reviewers who have contributed
to the journal in volume 4 (2012). High quality and timely reviews are critical to the overall quality of the journal. We
are committed to providing a unique and important outlet for scholarship regarding neurodevelopmental disorders
and are indebted to the outstanding reviewers who have contributed their time over the last year in helping us to
reach this goal. Piven Journal of Neurodevelopmental Disorders 2013, 5:5
http://www.jneurodevdisorders.com/content/5/1/5 Piven Journal of Neurodevelopmental Disorders 2013, 5:5
http://www.jneurodevdisorders.com/content/5/1/5 Contributing reviewers Joost Janssen
Netherlands
Warren Jones
United States of America
Emily Jones
United States of America
Annette Karmiloff-Smith
United Kingdom
Cary Kogan
Canada
Gregor Kohls
United States of America
Meng-Chuan Lai
United Kingdom
Amir Levine
United States of America
Alice Lin
United States of America
Rhiannon Luyster
United States of America
Carla Mazefsky
United States of America
James McPartland
United States of America Joost Janssen
Netherlands
Warren Jones
United States of America
Emily Jones
United States of America
Annette Karmiloff-Smith
United Kingdom
Cary Kogan
Canada
Gregor Kohls
United States of America
Meng-Chuan Lai
United Kingdom
Amir Levine
United States of America
Alice Lin
United States of America
Rhiannon Luyster
United States of America
Carla Mazefsky
United States of America
James McPartland
United States of America Melissa Allen
United Kingdom
Elizabeth Aylward
United States of America
Margaret Bauman
United States of America
Raphael Bernier
United States of America
Elina Birmingham
Canada
Dorothy Bishop
United Kingdom
Susan Bookheimer
United States of America
Marc Brysbaert
Belgium
Linda Campbell
Australia
Neva Corrigan
United States of America
Ana Cubillo
United Kingdom
Geraldine Dawson
United States of America
Saumitra Deb
United Kingdom
Manny DiCicco-Bloom
United States of America
Maria Luz Dizon
United States of America
Jed Elison
United States of America
Deborah Fidler
United States of America
Carsten Finke
Germany
Chris Frith
United Kingdom
Susanna Fryer
United States of America
Dennis Grayson
United States of America
Paul Hagerman
United States of America
Francesca Happe
United Kingdom
Todd Hare
Switzerland
Correspondence: jpiven@med.unc.edu
Carolina Institute for Developmental Disabilities, University of North Carolina
at Chapel Hill, 100 Renee Lynne Court, Carrboro, NC 27510, USA Joost Janssen
Netherlands
Warren Jones
United States of America
Emily Jones
United States of America
Annette Karmiloff-Smith
United Kingdom
Cary Kogan
Canada
Gregor Kohls
United States of America
Meng-Chuan Lai
United Kingdom
Amir Levine
United States of America
Alice Lin
United States of America
Rhiannon Luyster
United States of America
Carla Mazefsky
United States of America
James McPartland
United States of America Melissa Allen
United Kingdom Geraldine Dawson
United States of America © 2013 Piven; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work is properly cited. Page 2 of 2 Piven Journal of Neurodevelopmental Disorders 2013, 5:5
http://www.jneurodevdisorders.com/content/5/1/5 Catherine Stoodley
United States of America
Bruce Tomblin
United States of America
Anna Tury
United States of America
Jaap van Pelt
Netherlands
Katarina Varnäs
Sweden
David Walker
Australia
Karli Watson
United States of America
Zhengang Yang
China
doi:10.1186/1866-1955-5-5
Cite this article as: Piven: Journal of
Neurodevelopmental Disorders reviewer
acknowledgement 2012. Journal of
Neurodevelopmental Disorders 2013 5:5. Catherine Stoodley
United States of America
Bruce Tomblin
United States of America
Anna Tury
United States of America
Jaap van Pelt
Netherlands
Katarina Varnäs
Sweden
David Walker
Australia
Karli Watson
United States of America
Zhengang Yang
China Nancy Minshew
United States of America
Sandra Mooney
United States of America
Jeff Munson
United States of America
Charles Nelson
United States of America
Joshua New
United States of America
Richard Nowakowski
United States of America
John O'Doherty
United States of America
Noriko Osumi
Japan
Daniela Plesa Skwerer
United States of America Armin Raznahan
United States of America
Allan Reiss
United States of America
Lawrence Reynolds
United States of America
Todd Richards
United States of America
Cary Savage
United States of America
Gaia Scerif
United Kingdom
Stephen Scherer
Canada
Emily Simonoff
United Kingdom
Mikle South
United States of America Nancy Minshew
United States of America
Sandra Mooney
United States of America
Jeff Munson
United States of America
Charles Nelson
United States of America
Joshua New
United States of America
Richard Nowakowski
United States of America
John O'Doherty
United States of America
Noriko Osumi
Japan
Daniela Plesa Skwerer
United States of America
|
https://openalex.org/W3196565435
|
http://izvestia-soigsi.ru/izvestia/2019/33/narbut-krashennikov.pdf
|
Russian
| null |
DONOR TEXTS CORPUS IN THE TRANSLATION RECEPTION OF KOSTA KHETAGUROV'S CREATIVITY
|
Izvestiâ SOIGSI
| 2,019
|
cc-by-sa
| 2,540
|
КОРПУС ТЕКСТОВ-ДОНОРОВ В ПЕРЕВОДЧЕСКОЙ РЕЦЕПЦИИ
ТВОРЧЕСТВА КОСТА ХЕТАГУРОВА Е. В. Нарбут
А. Е. Крашенинников В статье предлагается новый подход для теоретического осмысления опыта художе-
ственного перевода поэзии Коста Хетагурова, а также для практического применения
в дальнейшей переводческой практике. Категория текстов-доноров рассматривается
как база для создания новых текстов. Разработчики данного подхода исходят из идеи
принципиальной интертекстуальности художественного перевода и учета образцов ху-
дожественной речи в принимающей культуре. Текст-донор определятся как текст или
совокупность текстов близкой тематики (гипертекст), которые могут послужить для
переводчика источником решения задач, возникающих при работе с соответствующим
оригиналом. Ключевые слова: осетинская литература, глобализация, национальная литература,
художественный перевод, текст-донор, интертекстуальность, адекватность, эквива-
лентность. Сохранение и развитие национальных
литератур – это совсем не праздный во-
прос. Он напрямую связан с теми вызова-
ми, с которыми сталкиваются народы и их
культуры в процессе глобализации. Для на-
шей страны он имеет бóльшую важность,
чем для многих иных стран, так как Россия
– многонациональное государство, в кото-
ром явлены признаки не только современ-
ной культуры, но и традиционных культур
народов нашей страны. Поэтому в культурной палитре России
осетинская литература является неотъем-
лемой частью, которая развивается, взаи-
модействует с другими культурами наро-
дов России и представляет интерес не толь-
ко для широкого круга читателей, но и для
научного, в частности филологического,
анализа. Об этом свидетельствуют много-
численные статьи, монографии, диссерта-
ционные исследования, имеющие продол-
жительную историю. В этой связи можно
вспомнить «Очерк развития осетинской
литературы» Х. Н. Ардасенова, вышедший
в далеком 1959 г. [2], а из современных –
диссертацию «Осетинская поэзия и рус-
ская литература 30-40-х гг. XX в.» Л. Л. Са-
накоевой [3], а также сборник материалов
международной конференции «Коста и
мировой историко-культурный процесс»,
посвященной 155-летию со дня рождения
Коста Хетагурова [4]. Сохранение и развитие национальных
литератур – это совсем не праздный во-
прос. Он напрямую связан с теми вызова-
ми, с которыми сталкиваются народы и их
культуры в процессе глобализации. Для на-
шей страны он имеет бóльшую важность,
чем для многих иных стран, так как Россия – многонациональное государство, в кото-
ром явлены признаки не только современ-
ной культуры, но и традиционных культур
народов нашей страны. Так, в своих размышлениях об исто-
рическом дискурсе России в рамках дихо-
томии многонациональная империя – на-
циональное
государство
Х. Х. Соблиров
приходит к выводу, что на территории
страны продолжается процесс националь-
ного строительства государства на основе
россиян, т.е. на основе всех народов Рос-
сии [1]. СОИГСИ СОИГСИ Языкознание. Литературоведение. Фольклористика DOI: 10.23671/VNC.2019.72.35262 КОРПУС ТЕКСТОВ-ДОНОРОВ В ПЕРЕВОДЧЕСКОЙ РЕЦЕПЦИИ
ТВОРЧЕСТВА КОСТА ХЕТАГУРОВА В этой связи безусловно возрастает
роль межкультурного диалога, без которо-
го невозможно крепкое объединение наро-
дов хоть под крышей многонациональной
империи, хоть под крышей, разумеется, не
просто национального, а многонациональ-
ного государства. Л. Л. Санакоева отмечает, что история
становления и развития осетинской ли-
тературы, а также творческие биографии
авторов весьма характерны для современ-
ного литературного процесса. Данный про- 73 ИЗВЕСТИЯ СОИГСИ 33 (72) 2019 Языкознание. Литературоведение. Фольклористика СОИГСИ цесс характеризуется несколькими тенден-
циями. Это, с одной стороны, тесная связь
с традициями собственной литературы,
с художественными произведениями, ко-
торые созданы на родном языке. С другой
стороны, опора на традиции не исключает
ориентированность на мировой литератур-
ный опыт и усвоение, а затем и творческое
воплощение традиций более развитых ли-
тератур. Санакоева подчеркивает, что осе-
тинская литература, видные ее представи-
тели тесно связаны с классической русской
литературой и культурой, а Коста Хетагу-
ров, родоначальник осетинской литерату-
ры, создавал свои произведения как на осе-
тинском, так и на русском языках. тагурова на русский язык может, как нам
представляется, корпус текстов-доноров. Категория текстов-доноров рассматри-
вается нами в аспекте «текст – база для соз-
дания новых текстов». Несмотря на то, что
за многовековую историю художественного
перевода возникло и развивается разно-
образное количество приемов и методов,
нацеленных на достижение адекватности
и эквивалентности перевода в самых раз-
нообразных комбинациях языков, метод
использования речевых ресурсов корпуса
текстов-доноров может помочь переводчи-
ку обеспечить соответствие переводного
текста оригиналу на уровне содержания и
формы. Исходя из идеи принципиальной
интертекстуальности художественного пе-
ревода и учета образцов художественной
речи в принимающей культуре, высказан-
ной Л. С. Макаровой [7, 11], мы определя-
ем текст-донор как текст или совокупность
текстов близкой тематики (гипертекст), ко-
торые могут послужить для переводчика
источником решения задач, возникающих
при работе с соответствующим оригиналом. Значение Коста Хетагурова для осетин-
ской культуры и культуры России трудно
переоценить. Поэтому его творчество на
осетинском языке представляет большой
интерес в аспекте художественного пере-
вода с осетинского языка на русский. При
этом перед переводчиком стоит сложная
задача, связанная с самобытностью его
творчества: при попытке найти подходя-
щие переводческие решения нужны, по
сути дела, глубокие знания осетинского
языка и особое поэтическое чутье [5]. Как
отмечал Н. Языкознание. Литературоведение. Фольклористика – Ушаков Николай Николаевич: «Кому
что…», «Синица»; – Ушаков Николай Николаевич: «Кому
что…», «Синица»; – Ушаков Николай Николаевич: «Кому
что…», «Синица»; – Иринин Борис: « В пастухах», «Горе»,
«Желание», «Мать сирот», «Надежда»,
«Тревога»; – Фроман
Михаил
Александрович:
«Без доли» «В разлуке»; – Исаковский
Михаил
Васильевич:
«Знаю», «Тревога», «У могилы» («У гроба»); – Исаковский
Михаил
Васильевич:
«Знаю», «Тревога», «У могилы» («У гроба»); – Шпирт Александр Исаакович: «Будь
мужчиной», «В новогоднюю ночь», «Вса-
ти», «Дума», «Зима», «Киска», «Олень и еж»,
«Осень», «Раздумье», «Редька и мед», «Хе-
таг» (совместно с П. Панченко), «Шалун»,
«Школьник». – Шпирт Александр Исаакович: «Будь
мужчиной», «В новогоднюю ночь», «Вса-
ти», «Дума», «Зима», «Киска», «Олень и еж»,
«Осень», «Раздумье», «Редька и мед», «Хе-
таг» (совместно с П. Панченко), «Шалун»,
«Школьник». – Кедрин Дмирий Борисович: «Мужчи-
на или женщина?», «Прощай»; – Корчагин Александр Иванович: «О,
если бы!»; – Липкин Семен Израилевич: «Безум-
ный пастух», «О, если бы!»; Необходимо отметить, что огромную
помощь при каталогизации ядра корпуса
текстов-доноров оказал ресурс «Речь и речь
нерасторжимы…» (I часть. Осетинская по-
эзия в переводах русских поэтов) [9]. Ав-
тор проекта и составитель И. А. Хайманова
проделала удивительную, кропотливую ра-
боту, которая стала не только подспорьем
для исследователей, но и познавательным
чтением для любого ценителя поэзии и ху-
дожественного перевода. – Озеров Лев Адольфович: «А-ло-лай»,
«Без пастуха», «Будь мужчиной», «В но-
вогоднюю ночь», «Дума жениха», «Если б
запеть мне…», «Зима», «Кто ты?», «Лето»,
«Песня бедняка», «Привет», «Прощай»,
«Синица», «Шалун»; – Олендер Семен: «А-лол-лай», «Безум-
ный пастух», «Волк и журавль», «Ворона и
лисица», «Гуси», «Дума жениха», «Если бы я
пел, как нарт вдохновенный…», «Желание»,
«Лиса и барсук», «О чем?», «Походная песня»,
«Привет», «Солдат», «У могилы», «Упрек»; Со своей стороны мы можем добавить
в ядро корпуса текстов-доноров Елену
Александровну Благинину, П. Сосиева (к
сожалению, нам не удалось уточнить его
имя и отчество) и их переводы поэмы
«Кто ты?». – Панченко Павел Михайлович: «Вес-
на», «Взгляни!..», «Завещание», «Кубады»,
«Ласточка», «Новогодняя песня», «Посла-
ние», «Песня бедняка», «Постник», «Про-
пади!..», «Тоска влюбленного», «Хетаг» (со-
вместно с А. Шпиртом); – Панченко Павел Михайлович: «Вес-
на», «Взгляни!..», «Завещание», «Кубады»,
«Ласточка», «Новогодняя песня», «Посла-
ние», «Песня бедняка», «Постник», «Про-
пади!..», «Тоска влюбленного», «Хетаг» (со-
вместно с А. Шпиртом); К периферии корпуса текстов-доноров
для переводчика поэзии Коста Хетагурова
можно отнести различные качественные
переводы других авторов осетинской поэ-
зии. СОИГСИ Языкознание. Литературоведение. Фольклористика КОРПУС ТЕКСТОВ-ДОНОРОВ В ПЕРЕВОДЧЕСКОЙ РЕЦЕПЦИИ
ТВОРЧЕСТВА КОСТА ХЕТАГУРОВА Джусойты – осетинский поэт,
драматург,
публицист,
литературовед,
переводчик, народный писатель Осетии
– при художественном переводе необхо-
димо умение адекватно и художественно
передавать форму и содержание подлин-
ника средствами переводящего языка,
не говоря уже о трудностях, связанных с
ритмикой и силлабо-тонической струк-
турой осетинского стихосложения, чья
традиция была создана и прочно утвер-
ждена именно поэтическим творчеством
Коста Хетагурова. А это в случае с Коста
Хетагуровым очень сложно: «Коста – поэт,
теряющий в переводе независимо от ран-
га переводчика столько, что он начинает
походить на Антея, оторванного от мате-
ри-земли» [6, 47]. В данной работе мы предприняли
первые шаги, связанные с применением
текста-донора, в изучении опыта художе-
ственного перевода лирики Коста Хетагу-
рова на русский язык. Ядром корпуса текстов-доноров, кото-
рые могут помочь потенциальному пере-
водчику, являются уже созданные перево-
ды поэзии Коста Хетагурова. И в первую
очередь необходимо назвать переводы, сде-
ланные Анной Ахматовой. Хотя сама поэ-
тесса относилась к переводческой деятель-
ности скептически, ее переводы обладают
непреходящей ценностью, о чем свидетель-
ствует тот факт, что не так давно во Влади-
кавказе вышел в свет сборник ее переводов
из осетинской поэзии [8]. К ядру корпуса также необходимо отне-
сти тексты следующих переводчиков: – Брик Борис Ильич: «Зима», «Лето»,
«Привычка», «Сердце бедняка», «Солдат»; – Заболоцкий (Заболотский) Николай
Алексеевич: «На кладбище»; Значительно помочь переводчику на
сложном пути перевода лирики Коста Хе- ИЗВЕСТИЯ СОИГСИ 33 (72) 2019
74 ИЗВЕСТИЯ СОИГСИ 33 (72) 2019 74 Языкознание. Литературоведение. Фольклористика Напрямую не связанные с творчеством
Коста Хетагурова, они позволят перевод-
чику впитать колорит осетинского поэти-
ческого языка, а также помогут в сложном
случае определиться в собственном выборе
того или иного эквивалента. – Потапова Вера Аркадьевна: «Сердце
бедняка»; – Рождественский Всеволод Алексан-
дрович: «Горе»; – Семынин Петр Андреевич: «Ласточ-
ка», «Песня бедняка»; – Серебряков Борис Яковлевич: «Без
пастуха», «Песня бедняка»; – Синельников Михаил Исаакович:
«Безумный пастух», «Знаю», «Сердце бед-
няка»; Дальнейшее изучение корпуса тек-
стов-доноров в области художественного
перевода позволит, на наш взгляд, не толь-
ко расширить наше представление о фе-
номене текстов-доноров, но и сформули-
ровать более определенные рекомендации
для переводчиков. – Тихонов Николай Семенович: «Вес-
на», «Зима», «Лето», «На кладбище»,
«Олень и еж», «Осень», «Походная песня»,
«Прислужник»; ИЗВЕСТИЯ СОИГСИ 33 (72) 2019
75 ИЗВЕСТИЯ СОИГСИ 33 (72) 2019 75 Языкознание. Литературоведение. Фольклористика СОИГСИ 1. Соблиров Х.Х. Исторический дискурс о России: «Многонациональная империя» или
«Национальное государство» // Научные проблемы гуманитарных исследований. 2009. №10-2. С. 104. 1. Соблиров Х.Х. Исторический дискурс о России: «Многонациональная империя» или
«Национальное государство» // Научные проблемы гуманитарных исследований. 2009. №10-2. С. 104. 2. Ардасенов Х.Н. Очерк развития осетинской литературы. Орджоникидзе, 1959. 3. Санакоева Л.Л. Осетинская поэзия и русская литература 30–40-х гг. XX в.: Вопросы
перевода и литературных взаимосвязей: Дис... канд. филол. наук. Владикавказ, 2002. 3. Санакоева Л.Л. Осетинская поэзия и русская литература 30–40-х гг. XX в.: Вопросы
перевода и литературных взаимосвязей: Дис... канд. филол. наук. Владикавказ, 2002. 4. Коста и мировой историко-культурный процесс: Сборник материалов Междуна-
родной конференции, посвященной 155-летию со дня рождения К.Л. Хетагурова. Влади-
кавказ, 2014. 5. Томеллери В.С., Сальватори М. Несколько соображений о переводе «Осетинской
лиры» Коста на итальянский язык // Известия СОИГСИ. 2013. Вып. 10(40). С. 10-19. 5. Томеллери В.С., Сальватори М. Несколько соображений о переводе «Осетинской
лиры» Коста на итальянский язык // Известия СОИГСИ. 2013. Вып. 10(40). С. 10-19. 6. Джусойты Н. Коста Хетагуров // Коста Хетагуров. Стихотворения и поэмы. Вступ. статья, составление, подготовка текста и примечания Н. Джусойты. Л., 1976. С. 5-48. 6. Джусойты Н. Коста Хетагуров // Коста Хетагуров. Стихотворения и поэмы. Вступ. статья, составление, подготовка текста и примечания Н. Джусойты. Л., 1976. С. 5-48. 7. Макарова Л.С. Коммуникативно-прагматические основы художественного перево-
да. М., 2004. 7. Макарова Л.С. Коммуникативно-прагматические основы художественного перево-
да. М., 2004. 8. Ахматова А. Переводы из осетинской поэзии. Владикавказ, 2015. 8. Ахматова А. Переводы из осетинской поэзии. Владикавказ, 2015. 9. «Речь и речь нерасторжимы…» I часть. Осетинская поэзия в переводах русских по-
этов [электронный ресурс]. DONOR TEXTS CORPUS IN THE TRANSLATION RECEPTION OF KOSTA
KHETAGUROV’S CREATIVITY DONOR TEXTS CORPUS IN THE TRANSLATION RECEPTION OF KOSTA
KHETAGUROV’S CREATIVITY DONOR TEXTS CORPUS IN THE TRANSLATION RECEPTION OF KOSTA
KHETAGUROV’S CREATIVITY Keywords: Ossetian literature, globalization, national literature, literary translation, donor text,
intertextuality, adequacy, equivalence. The article offers a new approach to theoretical understanding of the experienceof literary
translation of KostaKhetagurov’s poetry as well as to practical application in further translation
practice. The category of donor texts is considered to be the basis for creating new texts. The developers
of this approach proceed from the idea of the fundamental intertextuality of literary translation and
considering the patterns of artistic speech in the receiving culture. A donor text is defined as a text or
a set of texts of a similar subject (hypertext) which can serve as a source for the translator in solving
problems arising while working with the corresponding original. Языкознание. Литературоведение. Фольклористика URL: http://nslib.tmweb.ru/perevodi/index.html 8. Ахматова А. Переводы из осетинской поэзии. Владикавказ, 2015. 9. «Речь и речь нерасторжимы…» I часть. Осетинская поэзия в переводах русских по-
этов [электронный ресурс]. URL: http://nslib.tmweb.ru/perevodi/index.html Narbut, Elena V. – Northeastern State University; narbut@rambler.ru Narbut, Elena V. – Northeastern State University; narbut@rambler.ru Krasheninnikov, Andrey E. – Northeastern State University; narbut@rambler.ru Krasheninnikov, Andrey E. – Northeastern State University; narbut@rambler.ru REFERENCES 1. Soblirov Kh.Kh. Istoricheskiy diskurs o Rossii: “Mnogonatsional’naya imperiya” ili
“Natsional’noye gosudarstvo” [Historical discourse about Russia: “Multinational Empire” or
“National State”]. Nauchnyye problemy gumanitarnykh issledovaniy [Scientific problems of
humanitarian researches]. 2009, no. 10–2, pp. 104. 2. Ardasenov Kh.N. Ocherk razvitiya osetinskoy literatury [Essay on the development of
Ossetian literature]. Ordzhonikidze, Sevosgiz, 1959. 282 p. 2. Ardasenov Kh.N. Ocherk razvitiya osetinskoy literatury [Essay on the development of
Ossetian literature]. Ordzhonikidze, Sevosgiz, 1959. 282 p. 3. Sanakoyeva, L.L. Osetinskaya poeziya i russkaya literatura 30–40-kh gg. XX v.: Voprosy
perevoda i literaturnykh vzaimosvyazey [Ossetian poetry and Russian literature of the 30–40s
of the XX century: Issues of translation and literary relationships]. Candidate dissertation (in
Philology). Vladikavkaz, 2002. 183 p. 3. Sanakoyeva, L.L. Osetinskaya poeziya i russkaya literatura 30–40-kh gg. XX v.: Voprosy
perevoda i literaturnykh vzaimosvyazey [Ossetian poetry and Russian literature of the 30–40s
of the XX century: Issues of translation and literary relationships]. Candidate dissertation (in
Philology). Vladikavkaz, 2002. 183 p. ИЗВЕСТИЯ СОИГСИ 33 (72) 2019
76 76 ИЗВЕСТИЯ СОИГСИ 33 (72) 2019 СОИГСИ СОИГСИ Языкознание. Литературоведение. Фольклористика 4. Kosta i mirovoy istoriko-kul’turnyy protsess: Sbornik materialov Mezhdunarodnoy
konferentsii, posvyashchennoy 155-letiyu so dnya rozhdeniya K.L. Khetagurova [Kosta and the
world historical and cultural process: Materials of the International Conference to the 155th
birthday of K.L. Khetagurov]. Vladikavkaz, North Ossetian Institute for Humanitarian and
Social Studies, 2014. 333 p. 5. Tomelleri V.S., Salvatori M. Neskol’ko soobrazheniy o perevode “Osetinskoy liry” Kosta na
ital’yanskiy yazyk [Some ideas on the translating Kosta Khetagurov’s “Iron fændyr” into Italian]. Izvestiya SOIGSI [Proceedings of the North Ossetian Institute for Humanitarian and Social
Studies]. 2013, iss. 10(40), pp. 10-19. 5. Tomelleri V.S., Salvatori M. Neskol’ko soobrazheniy o perevode “Osetinskoy liry” Kosta na
ital’yanskiy yazyk [Some ideas on the translating Kosta Khetagurov’s “Iron fændyr” into Italian]. Izvestiya SOIGSI [Proceedings of the North Ossetian Institute for Humanitarian and Social
Studies]. 2013, iss. 10(40), pp. 10-19. 6. Dzhusoyty N. Kosta Khetagurov [Kosta Khetagurov]. Kosta Khetagurov. Stikhotvoreniya
i poemy. Vstup. stat’ya, sostavleniye, podgotovka teksta i primechaniya N. Dzhusoyty [Kosta
Khetagurov. Poems. Entry article, compilation, preparation of the text and notes by N. Dzhusoity]. Leningrad, Sovetskiy pisatel’, Leningradskoye otdeleniye, 1976, pp. 5-48. 6. Dzhusoyty N. Kosta Khetagurov [Kosta Khetagurov]. Kosta Khetagurov. Stikhotvoreniya
i poemy. Vstup. stat’ya, sostavleniye, podgotovka teksta i primechaniya N. Dzhusoyty [Kosta
Khetagurov. Poems. Entry article, compilation, preparation of the text and notes by N. Dzhusoity]. Leningrad, Sovetskiy pisatel’, Leningradskoye otdeleniye, 1976, pp. 5-48. 7. Makarova L.S. Kommunikativno-pragmaticheskiye osnovy khudozhestvennogo perevoda
[Communicative-pragmatic foundations of literary translation]. Moscow, Moscow State Regional
University, 2004. 256 p. 7. Makarova L.S. Kommunikativno-pragmaticheskiye osnovy khudozhestvennogo perevoda
[Communicative-pragmatic foundations of literary translation]. Moscow, Moscow State Regional
University, 2004. 256 p. y
8. Akhmatova A. Perevody iz osetinskoy poezii [Translations from Ossetian poetry]. Vladikavkaz, Ir, 2015. 51 p. 8. Akhmatova A. Perevody iz osetinskoy poezii [Translations from Ossetian poetry]. Vladikavkaz, Ir, 2015. 51 p. 9. “Rech’ i rech’ nerastorzhimy…» I chast’. Osetinskaya poeziya v perevodakh russkikh poetov
[“Speech and speech are indissoluble...” Part I. Ossetian poetry in translations of Russian poets]. [electronic resource]. URL: http://nslib.tmweb.ru/perevodi/index.html 9. “Rech’ i rech’ nerastorzhimy…» I chast’. Osetinskaya poeziya v perevodakh russkikh poetov
[“Speech and speech are indissoluble...” Part I. Ossetian poetry in translations of Russian poets]. [electronic resource]. URL: http://nslib.tmweb.ru/perevodi/index.html ИЗВЕСТИЯ СОИГСИ 33 (72) 2019
77 ИЗВЕСТИЯ СОИГСИ 33 (72) 2019 77
|
W3011934113.txt
|
https://content.sciendo.com/downloadpdf/journals/rtuect/24/1/article-p162.pdf
|
en
|
Calculation of Kinetic Parameters of Thermal Decomposition of Forest Waste using the Monte Carlo Technique
|
Environmental and Climate Technologies
| 2,020
|
cc-by
| 3,718
|
Environmental and Climate Technologies
2020, vol. 24, no. 1, pp. 162–170
https://doi.org/10.2478/rtuect-2020-0010
https://content.sciendo.com
Calculation of Kinetic Parameters of Thermal
Decomposition of Forest Waste using the Monte
Carlo Technique
Alok DHAUNDIYAL1*, Laszlo TOTH2
1,2Institute
of Process Engineering, Doctoral School of Mechanical Engineering,
Szent István University, Gödöllő 2100, Hungary
Abstract – This paper deals with the pyrolysis of forest waste in the presence of an inert
atmosphere. Experiments are carried out at different heating rates (5 °C, 10 °C and 15 °C) to
determine derivative thermogravimetric behaviour of the material. Unlike the conventional
scheme, the Monte Carlo technique is implemented to solve the distributed activation energy
model (DAEM). DAEM is transformed into the inverse pyrolysis problem to determine the
kinetic parameters of thermal degradation of forest waste. Activation energy, the
preexponential factor and the distribution parameters are estimated by introducing the
Monte Carlo Technique in the thermal conversion process.
Keywords – Biomass; distributed activation energy model; Monte Carlo technique;
pyrolysis.
1. INTRODUCTION
Modelling scheme of biomass pyrolysis can be performed on the basis of single reaction and
multi-reaction models. Comprehensive details of these models are reviewed in previous research
[1]–[4]. The latest and up-to-date approach to describe biomass pyrolysis pivots around the
distributed activation energy model [5]–[7]. The numerical solution of DAEM is used to estimate
kinetic parameters. The DAEM is converted into an inverse problem, so that realistic results can
be derived. As the trade-off relationship between material decomposition and mathematical model
is fail to impart the robustness in the results, therefore the Monte Carlo scheme is adopted to make
the solution more pragmatic. Some of the latest developments and the effect of various parameters
on the single-reaction model are investigated by Brown [8]. Gune and Gune [9] reported the effect
of miscellaneous parameters on the behaviour of first Order DAEM. Dhaundiyal et al. [10], [11]
performed a comprehensive analysis of various density functions to predict the nature of thermal
decomposition of biomass through DAEM.
In this study, kinetic parameters are determined by using the Monte Carlo scheme. The
primary objective of this paper is to introduce a new method of solving in -exact integrals
encountered while solving the solid-state kinetic models. It is assumed that the approximated
solution forms an injective set. The Gaussian function is considered to be the initial
distribution function. Only with the help of derivative thermogravimetric (DTG) analysis, the
kinetic parameters of thermal degradation of forest waste is obtained.
* Corresponding author.
E-mail address: alok.dext@hotmail.com
©2020 Alok Dhaundiyal, Laszlo Toth.
This is an open access article licensed under the Creative Commons Attribution License (http://creativecommons.org/
licenses/by/4.0), in the manner agreed with Sciendo.
162
Environmental and Climate Technologies
____________________________________________________________________________ 2020 / 24
2. NON-ISOTHERMAL DAEM AND ITS NUMERICAL SOLUTION
DAEM is one of the multi-reaction models. The postulations, restriction and derivation of
the non-isothermal n th DAEM equations can be found in literature [12], [13]. Non-isothermal
equations for the first order as well as n th DAEM are given below:
t
0
0
(1 − ) = exp −
A
−E
exp
RT
dt f ( E ) dE ,
(1)
1
t A
1−n
−E
(1 − )n1 = 1 − (1 − n ) exp dt f ( E ) dE ,
RT
0
0
(2)
where
E
activation energy;
α
conversion of biomass;
A
frequency factor;
R
gas constant;
t
time;
T
temperature;
N
reaction order;
f(E) density function of the activation energy of the volatile release. In this case, the function
f(E) represents density function of the Gaussian distribution.
The approximated solution of equations (1) and (2) can be done using the asymptotic technique.
Therefore, the whole integral comprises two different kinds of density functions. The first term of
DAEM is density function of temperature distribution, or temperature integral, whereas the
density function of activation energy forms the second part of computational process. On the basis
of these demarcations, the approximation is performed. The asymptotic form of the mean (Es) and
the step width (Ew) of the temperature integral exp A exp − E is derived for the linear ramp
RT
t
0
rate of temperature as mentioned in the study [13], thus, Es = RTY ( ) and Ew =
Es
, applying
1 + Y ( )
the energy scaling and introducing the energy correction factor, we get
ys =
E
Es and
yw = w .
E0
E0
(3)
Therefore, the approximated form of temperature integral is:
ys − y
t A
−E
exp exp
,
~ exp −exp
RT
y
w
0
where
E₀
Y(τ)
τ = A.t
(4)
mean value of activation energy;
Lambert W function;
time-scale factor.
163
Environmental and Climate Technologies
____________________________________________________________________________ 2020 / 24
Equations (1) and (2) are simplified by incorporating functional expressions of the temperature
integral and the distribution of activation energies.
0
ys − y
2
exp − ( y − 1) dy
y
w
)
(
(1 − ) ~ exp −exp −exp
(5)
Similarly, for nth order reactions apply the binomial expansion on the equation (2):
(1 − )n1 ~
ys − y
ys − y n
2
+ exp 2
+ exp − ( y − 1) dy ,
yw 2
y
w
(
1 − exp
0
)
(6)
E0 2
is a constant and σ is standard deviation of Gaussian distribution function.
2 2
Using the Laplace asymptotic scheme for the interior points of the integral ‘dy’ (Equation
(5) and Equation (6)), we get a leading behaviour of the remaining mass fraction of the
volatile (1-α) for the first and n th order reactions.
where =
(1 − ) ~
(1 − )n1 ~1 −
1
2
exp ( − ( ye − 1)( ye + 2 yw − 1) )
(7)
y −1
1+ e
yw
n
exp − ( ye,n − 1)( 2 ys − ye,n − 1) + 2 exp −2 ( ye,n − 1)( ys − ye,n )
(
)
(
)
(8)
Equations (7) and (8) are the desired expressions for the first and nth order reactions. The
values of ye, and ye,n and yʹe,n represent the points where the exponents of the exponential term
in equations (5) and (6) attain maximum values, respectively.
1
y −1
ye = 1 + ywY
exp s
2y 2
yw
w
(9)
1
2yw
(10)
ye ,n = 2 ye,n −1
(11)
ye,n = 1 −
3. MONTE-CARLO SCHEME
The Monte Carlo method is a computational technique used to obtain an unknown
parameter. It is a fundamental tool to calculate and simulate a set of maps which are
independent and identically distributed with the same distribution as the set of all maps [14].
Guo et al. [15] reported that the evolution of bonds in pyrolysis could be simulated by
combining the Boltzmann-Monte-Carlo algorithm with the percolation theory. In pyrolysis
problem of coal, the Monte Carlo algorithm delineates the bond formation by using coupling
164
Environmental and Climate Technologies
____________________________________________________________________________ 2020 / 24
or collision of radical fragment [15]. The concept of Monte-Carlo analysis is to understand
the uncertainty in the system through random sampling. Random number generator assigns a
random value to each variable within the demarcated limit. Thus, it helps to develop a robust
scheme to solve the inverse problem. Mainly, the performance of any given model is carried
out by the deterministic value of parameters, but Monte Carlo is very effective for those
models that have no analytical solutions. However, sometimes deterministic approach ma y
not be able to delineate the actual process, therefore it is necessary to enhance the decision
ability of the model and the gap between numerical approximations and analytical solutions
can be abridged. In this study, the area of the DTG curve is calculated by using the MonteCarlo scheme. The MATLAB software is used to generate random particles of 17 to 20
million, so that the approximated area is nearly equal to the area bounded by the DTG plane.
The area under the DTG curve is estimated by using binary logic matrices, which helps to
determine the number of particles enclosed by the DTG curves, or the number of particles
bombarded on the DTG plane. Programming for computing the area under the curve is
performed on the MATLAB interface.
m
r dm
1
dT
( m0 − mr ) mt dT
p
n .A
(12)
Here:
p
inbound particles;
n
total number of particles bombarded on the DTG plane;
A
area under the DTG plane;
m0, mt and mr are the initial, instantaneous and residual mass of biomass respectively.
4. APPLICATION OF BIOMASS
Thermal degradation of pine waste is conducted in the presence of inert gas (Nitrogen) by
using the thermogravimetry technique. The volumetric flow rate of t he gas is 200 mL/min.
The crucible holder of Alumina (Al 2O3) is used to hold the sample inside the heating chamber.
The thermocouple type ‘R’ is used to measure the temperature of the sample. The derivative
thermogravimetric data is used to explore the kinetic parameters of thermal degradation of
pine samples. The test is conducted at the heating rates of 5 °C/min, 10 °C/min and
15 °C/min. The chemical composition of the pine samples is shown in Table 1.
TABLE 1. CHEMICAL COMPOSITION OF PINE NEEDLES WITH HIGH HEATING VALUE (H.H.V)
C, %
54.28
H, %
6.55
N, %
0.61
O, %
35.50
Ash content, %
2.92
S, %
0.11
H.H.V, MJ/kg
20.65
5. RESULTS AND DISCUSSION
Mathematical computation of the kinetic model is performed by using the Monte Carlo
simulation method. The given pyrolysis problem is converted into the inverse form assuming
the non-surjective nature of the co-domain of kinetic parameters. The estimated range of
variation of activation energy is distinguished by its integral limit. The Brownian movements
of bombarded particles on the DTG plane at different heating r ates are illustrated in Fig. 1,
165
Environmental and Climate Technologies
____________________________________________________________________________ 2020 / 24
Fig. 2, and Fig. 3. The number of inbound particles (p) is used to determine the area
(Equation (12)) enclosed by DTG curves at the heating rates of 5 °C, 10 °C and 15 °C. The
estimated areas under the DTG curve at different heating rates are shown in Table 2. It is
assumed that the significant behaviour of total integrand (Equation (1) and (2)) is about the
central value (Es) of temperature integral, thus it reflects the activation energy required to
initiate the thermal decomposition of the pine waste. The upper limits of activation energies
are estimated to be 154.47 kJ/mol, 144.62 kJ/mol and 147.64 kJ/mol at the heating rates of
5 °C/min, 10 °C/min and 15 °C/min for first-order reactions, respectively, whereas the upper
range of activation energies for nth order reactions lies in the domain of 66.20 kJ/mol to
69.56 kJ/mol (Table 3).
Frequency factors calculated using the proposed scheme lie in between 10 4 and 10 7 min−1.
The activation energy distribution (on the basis of mean value) among the different stages of
decomposition of pine needles is illustrated in Fig. 4. It is indicated that the energy required
during the dehydration phase of pine needles vary from 25 kJ/mol to 50 kJ/mol, whereas the
activation energy rises steadily until the char formation. The activation energy increases by
40 % till the end of 58 % conversion of pine waste. The activation energies of sigmoidal
reactions get changed due to the variation of the heat of reactions (exothermic to
endothermic). Unlike the drift in the activation energy at the end of dehydration of the pine
needle sample, it is marginally very low at the onset of the char formation stage. The
activation energies of pine needles during char formation gets increased by 9 %. The results
are compared with different model-free methods and multi-component devolatisation
mechanisms, and it has been found that the derived solution provided the same solution with
comprehensive details of the variation of activation energies caused by temperature integral ,
as well as the density function. The average variation of activation energy due to the density
function varies from 66 kJ/mol to 76 kJ/mol, whereas the approximated solution of
temperature integral has a significant role in deciding the overall activation energy of the
pine-needles, as both the functions are intertwined in the distributed activation energy model,
therefore it is necessary to demarcate the individual merit of them.
Fig. 1. Brownian motion of inbound and out bound particles on the DTG plane at 5 °C/min.
The significant contribution of the double exponential term to decide the shape and
amplitude of the resultant curve is relatively high to the density function (the Gaussian
distribution). Thus, the solution converges at the energy scaling factor ( y) from 1.3 to 1.4.
166
Environmental and Climate Technologies
____________________________________________________________________________ 2020 / 24
The energy spacing of the temperature integral (or double exponential term), the kinetic
parameters of n th order and the variance of the Gaussian energy distribution are estimated in
Table 4.
It can be concluded that the proposed scheme has good agreement with other statistical
methods, where the solution is predicted by the trade-off relationship between experimental
and mathematical models. However, Monte Carlo simulation is also an approximated
methodology, yet it reduces the scope of multiple iterations through the direct correlation of
experimental data with a mathematical solution.
Fig. 2. Brownian motion of inbound and out bound particles on the DTG plane at 10 °C/min.
Fig. 3. Brownian motion of inbound and out bound particles on the DTG plane at 15°C/min.
167
Environmental and Climate Technologies
____________________________________________________________________________ 2020 / 24
Conversion, α
Fig. 4. Energy distribution at different stages of decomposition of pine needles.
TABLE 2. CALCULATED AREA OF THE DTG CURVES FOR DIFFERENT HEATING RATES
Heating rate
Area under curve (sq. Unit)
1
( m0 − mr )
mr
mt
dm
dT = (1 − )
dT
5 °C/min
10 °C/min
15 °C/min
52.4866
104.3758
153.6810
TABLE 3. PARAMETRIC INFORMATION OF THERMAL DECOMPOSITION OF PINE NEEDLES
Parameters
First order reactions
5 °C/min
10 °C/min
15 °C/min
nth order reactions (n = 0.002)
5 °C/min
10 °C/min
15 °C/min
E0, kJ/mol
76
65.94
20
26
−1
66.72
A, min
6.39·10
3.10·10
3.96·10
5.44·10
6.56·10
7·102
σ , kJ/mol
89.3
75.49
81.76
2
2.0670
2.29
Es, kJ/mol
99.50
92.08
92.78
43.022
40.55
38
Ew, kJ/mol
4.95
4.91
4.98
4.64
4.59
4.64
Integral limit
26.79 ≤ E∞
≤ 154.45
25.15 ≤ E∞ ≤
144.62
25.80 ≤ E∞ ≤
147.64
3.15 ≤ E∞ ≤
69.56
11.44 ≤ E∞ ≤
66.38
3.53 ≤ E∞
≤ 66.20
2
7
7
4
27
2
2
TABLE 4. VALIDATION OF THE PROPOSED SCHEME WITH THE OTHER METHODOLOGIES
Activation
Energy
Monte Carlo
Technique
E, kJ/mol
92–100
Model- free methods [16]
FWO
82.38
KAS
74.83
Kissinger
132.77
Multi-component
devolatilization
mechanism [17]
90–132
6. CONCLUSION
The kinetic parameters of thermal decomposition of pine needles have been derived using
the Monte Carlo technique. The variation of activation energy is demarcated on the basis of
temperature integral, as the significant contribution of temperature integral governs the
168
Environmental and Climate Technologies
____________________________________________________________________________ 2020 / 24
integral problem of DAEM. The estimated value of activation energy varies between
92 kJ/mol and 100 kJ/mol, whereas the lower limit of activation energy changes from
25 kJ/mol to 26 kJ/mol. Similarly, the activation energy for the nth reactions varies from 38
to 43 kJ/mol at the reaction order of 0.002. The obtained values are within the permissible
limit of variation as mentioned in literature [16]–[19]. The proposed scheme is relatively
robust and precise to other methodologies. By applying the inverse function to calculate the
kinetic parameters, the computational burden gets lessened. Secondly, it demarcates the
activation energy variation caused by temperature integral from the energy distribution
introduced by the density function of the distribution function. However, the nature of the
inverse function for the proposed scheme must be non-surjective in its validation. It implies
that the conversion at a particular time cannot have two different activation energies at the
given heating rate. So, the solution must be non-trivial in nature. Apart from precise
calculation of kinetic parameters, the mathematically formulated solution demands one to one
mapping of variables, thus the solution must be injective, and the kinetic parameters must
have a single value at the given conversion (α). Furthermore, should the bombarded particles
cover the DTG plane completely, the technique would be more effective.
ACKNOWLEDGEMENT
This work was supported by the stipendium Hungaricum Programme and by the Institute of Process Engineering,
Doctoral School of Mechanical Engineering, Szent Istvan University, Godollo, Hungary.
REFERENCES
[1] Capart R., Khezami L., Burnham A. K. Assessment of various kinetic models for the pyrolysis of a microgranular
cellulose. Thermochimica Acta 2004:417:79–89. https://doi.org/10.1016/j.tca.2004.01.029
[2] Conesa J. A., Caballero J., Marcilla A., Font R. Analysis of different kinetic models in the dynamic pyrolysis of
cellulose. Thermochimica Acta 1995:254:175–192. https://doi.org/10.1016/0040-6031(94)02102-T
[3] Dhaundiyal A., Singh S. B., Hanon M. M., Rawat R. Determination of Kinetic Parameters for the Thermal
Decomposition of Parthenium hysterophorus. Environmental and Climate Technologies 2018:22(1):5–21.
https://doi.org/10.1515/rtuect-2018-0001
[4] Yaroshenko A. P. Theoretical model and experimental study of pore growth during thermal expansion of graphite
intercalation
compounds.
Journal
of
Thermal
Analysis
and
Calorimetry
2005:79:515–519.
https://doi.org/10.1007/s10973-005-0571-3
[5] Dhaundiyal A., Tewari P. Kinetic Parameters for the Thermal Decomposition of Forest Waste Using Distributed
Activation Energy Model (DAEM). Environmental and Climate Technologies 2017:19(1):15–32.
https://doi.org/10.1515/rtuect-2017-0002
[6] Dhaundiyal A., Singh S. B., Hanon M. M. Study of Distributed Activation Energy Model Using Bivariate Distribution
Function,
f(E1, E2).
Thermal
Science
and
Engineering
Progress
2018:5:388–404.
https://doi.org/10.1016/j.tsep.2018.01.009
[7] Galgano A., Blasi C. Di. Modeling Wood Degradation by the Unreacted-Core-Shrinking Approximation. Industrial &
Engineering Chemistry Research 2003:42:2101–2111. https://doi.org/10.1021/ie020939o
[8] Morgan D. J., Brown M. A. Introduction to Thermal Analysis: Techniques and Applications. London and New York:
Chapman and Hall, 1988.
[9] Güneş M., Güneş S. The influences of various parameters on the numerical solution of non-isothermal DAEM equation.
Thermochimica Acta 1999:336(1–2):93–96. https://doi.org/10.1016/S0040-6031(99)00207-5
[10] Dhaundiyal A., Singh S. B., Hanon M. M. Application of Archimedean copula in the non-isothermal nth order
distributed activation energy model. Biofuels 2019:10:1–12. https://doi.org/10.1080/17597269.2018.1442662
[11] Dhaundiyal A., Singh S. B. Mathematical insight to non-isothermal pyrolysis of pine needles for different probability
distribution functions. Biofuels 2018:9(5):647–658. https://doi.org/10.1080/17597269.2017.1329495
[12] Burnham A. K. Introduction to Chemical Kinetics. Global Chemical Kinetics of Fossil Fuels 2017:25–74.
https://doi.org/10.1007/978-3-319-49634-4_2
169
Environmental and Climate Technologies
____________________________________________________________________________ 2020 / 24
[13] Dhaundiyal A., Singh S. B. Distributed activation energy modelling for pyrolysis of forest waste using Gaussian
distribution. Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences
2016:70(2):64–70. https://doi.org/10.1515/prolas-2016-0011
[14] Cho W. K. T., Liu Y. Y. Sampling from complicated and unknown distributions: Monte Carlo and Markov Chain
Monte Carlo methods for redistricting. Physica A: Statistical Mechanics and its Applications 2018:506:170–178.
https://doi.org/10.1016/j.physa.2018.03.096
[15] Guo X., Liu Z., Xiao Y., Xu X., Xue X., Liu Q. The Boltzmann-Monte-Carlo-Percolation (BMCP) model on pyrolysis
of coal: The volatiles’ reactions. Fuel 2018:230:18–26. https://doi.org/10.1016/j.fuel.2018.05.016
[16] Dhaundiyal A., Abdulrahman T. M., Laszlo T. Thermo-kinetics of Forest Waste Using Model-Free Methods.
Multidisciplinary Sciences 2019:24(1):465–495. https://doi.org/10.11144/javeriana.sc24-1.tofw
[17] Korobeinichev O. P., Paletsky A. A., Gonchikzhapov M. B., Shundrina I. K., Chen H., Liu. N. Combustion Chemistry
and
Decomposition
Kinetics
of
Forest
Fuels.
Procedia
Engineering
2013:62:182–193.
https://doi.org/10.1016/j.proeng.2013.08.054
[18] Dhaundiyal, A., Toth, L. Modeling of Hardwood Pyrolysis Using the Convex Combination of the Mass Conversion
Points. Journal of Energy Resources Technology, Transactions of the ASME 2019:142(6):061901.
https://doi.org/10.1115/1.4045458
[19] Dhaundiyal, A. et al. Analysis of pyrolysis reactor for hardwood (Acacia) chips. Renewable Energy
2020:147(Part 1):1979–1989. https://doi.org/10.1016/j.renene.2019.09.095
Alok Dhaundiyal had been awarded the master’s degree in mechanical engineering from
GBPUAT, Uttarakhand, India in 2014. From 2015 to 2017, he worked as an Assistant Professor
in Himgiri Zee University. He has also worked on Deutsche Gesellschaft für Internationale
Zusammenarbeit (GIZ) projects, which are the part of Indo-German Govt. Programme to
promote renewable energy sector of India under the patronage of state government agency of
Uttrakhand, India, UREDA; and Central ministry, Ministry of New Renewable Energy. The
author’s area of expertise is the energy generation through the biomass waste utilization.
In 2012, he has been awarded the Graduate Aptitude Test Engineering (GATE) Scholarship for
Master of Engineering by the govt. of India. The Faculty of Engineering Excellence award has
been conferred on him by the University of Strathclyde, Scotland, United Kingdom. He has also
received University Grant Commission (2017 to 2022) scholarship. In 2017, the Stipendium
Hungaricum Scholarship has been bestowed upon him by the government of Hungary.
Currently, he has been pursuing his doctoral studies (Mechanical) at Szent István Egyetem (St. Stephen University),
Hungary. ORCID iD: https://orcid.org/0000-0002-3390-0860
Prof. (Emeritus) Laszlo Toth (DSc.) had received his PhD Degree from University of
Agricultural Sciences, Gödöllő in 1967. In 1986, he had been awarded the Doctor of Science
by the Hungarian Academy of Science, Budapest, Hungary. He has been working as Professor
in the Department of Energetics, Szent István University, Hungary, since 1995. He has research
experience of 34 years and teaching experience of 20 years. Currently he is the Editor-in-chief
of ‘Journal of Agricultural Mechanisation’, Hungary. He is also the President of the Hungarian
Scientific Wind Energy Association, and a member of the World Wind Energy Association.
He is also a member of the American Chemical Society and the American Society of
Mechanical Engineers.
ORCID iD: https://orcid.org/0000-0003-0161-1375
170
|
|
https://openalex.org/W4232299740
|
https://www.scienceopen.com/document_file/87c7c4ab-78d0-4af4-a13f-2ba3e5887ad1/ScienceOpen/299_Davies.pdf
|
English
| null |
Managing Gravity Infusion using a Mobile Application
|
Electronic workshops in computing
| 2,014
|
cc-by
| 4,455
|
Managing Gravity Infusion
using a Mobile Application Paul Lee
Singleton Hospital
Swansea
SA2 8QA
paul.lee@wales.nhs.uk Harold Thimbleby
University of Swansea
Swansea
SA2 8PP
harold@thimbleby.net Mark Davies, Alan Chamberlain
University of Nottingham
Nottingham
NG8 1BB
mark.davies, alan.chamberlain
@nottingham.ac.uk Mark Davies, Alan Chamberlain
University of Nottingham
Nottingham
NG8 1BB
mark.davies, alan.chamberlain
@nottingham.ac.uk Gravity infusion, also known as “the drip,” is a common and basic method for delivering fluids to a patient,
without the use of any complex medical devices, such as an infusion pump or a syringe driver. Nevertheless
there are many quite complex and error-prone steps involved in setting up a gravity infusion for the correct
dose, and since there is no computer or similar technology involved to assist with the procedure, it can be
difficult to guarantee the accuracy and consistency of the fluid delivery. This paper presents a new method for accurately setting gravity infusion drug delivery, based on a handheld
mobile application that includes a novel approach to help estimate flow rate and double-check the steps
involved in setting it up. We demonstrate how simple visual interfaces can play an important role in the
healthcare setting, and we explain safety features that have been implemented to catch common errors and
slips that can occur. Human Computer Interaction, Mobile Medical Applications, Gravity Infusion, Intravenous Therapy levels of nurses identified the lack of confidence
when carrying out basic infusion rate calculations. In their day-to-day work, nurses regularly need to
carry out different types of mathematical calculations
when administering fluids and drugs to patients. Calculators can be used as a way of double-checking
their calculations, however calculators have been
criticized for their design in regard to human error
(Thimbleby 1997, 1998, 2000). Another issue is that
similar calculators (sometimes even from the same
manufacturer) can work differently to each other, and
can produce different answers when using the same
key sequences (Thimbleby 2000). Calculators also
have a tendency to display math equations differently
to how we would usually write them out and this
can sometimes lead to confusion, especially when
performing a long calculation (Thimbleby 2000). Calculators cannot be depended on for correct
calculations. 2.1. Mathematical Calculation The first step in carrying out a gravity infusion
is to calculate the correct dosage based on the
patient’s prescription. Each patient’s prescription is
delivered from a fluid bag that can vary in size
from 50 mL to 2 litres and is delivered through
an IV “administration set” (flexible tubing to deliver
the drug). Each administration set will have a “drop
factor” size. These sizes can be 10, 15, 20 or 60
drops per mL. Figure 1: A mobile application to help practitioners carry
out intravenous drip-rate infusions when medical pumps
are not available. inappropriate doses that they may try to administer;
typically smart pumps have “hard” and “soft” limits,
and while they avoid some types of error, they are
complex to use and are often circumvented — it
is easier to set a smart pump to a harmless drug
like “saline” so it does not interfere with what the
practitioner does. However, whether smart pumps
are used or not this still does not guarantee the
calculation or setting-up is right. (Throughout this
paper we use the term “practitioner” to mean any
suitable qualified clinician, such as a nurse.) To calculate the intended drip-rate of a gravity
infusion you need to divide the total volume of
fluid (in milliliters) by the total time required for the
delivery (in hours) and then multiply by the drop
factor (number of drops per mL). This gives you the
total number of drops required per hour. To convert
this to drops per minute, you need to divide by 60. To calculate the intended drip-rate of a gravity
infusion you need to divide the total volume of
fluid (in milliliters) by the total time required for the
delivery (in hours) and then multiply by the drop
factor (number of drops per mL). This gives you the
total number of drops required per hour. To convert
this to drops per minute, you need to divide by 60. The full formula is: Drops per minute = Total volume, mL
Total time, hr
× Drip factor
60 60 Modern electronic infusion pumps provide many
features and are generally recommended to be
used for delivering drugs to patients, but there are
situations where practitioners are faced with having
to carry out infusions by gravity drips. Gravity drips
are simpler and do not suffer from battery failure: Lee
et al (2012) review some of the problems. 2.1. Mathematical Calculation 60 Although this type of calculation is not particularly
difficult to calculate, there are several steps involved
before the final answer can be obtained, also each
variable in the calculation needs to be converted
to the correct unit of measurement. Practitioners
who do not regularly carry out this calculation
can easily forget some of the steps involved. One
should remember that remembering and correctly
performing the calculation under clinical conditions
is very much harder than reading the explicit
calculation above while reading a research paper! In this paper we present a novel mobile application
for the training and checking of gravity infusions. Our aim is to explore new ways of supporting
healthcare tasks through the use of our everyday
mobile devices. The application includes features for
assisting healthcare staff through each of the tasks
involved when carrying out gravity infusions — the
initial medication calculation, setting up the drip and
checking and monitoring the drip. Another calculation is also required. The practitioner
has to adjust the actual drip rate to be equal to the
calculated drip rate. This involves counting the drips
in one minute and making appropriate adjustments. This is a lengthy process, and fortunately it suffices
to count drips in 15 seconds and then multiply by
4. The advantage of having a shorter time and
counting fewer drops (and therefore missing fewer
drops and having less time to be interrupted by other
tasks) is finely balanced against the additional step
of multiplying in by 4. Another calculation is also required. The practitioner
has to adjust the actual drip rate to be equal to the
calculated drip rate. This involves counting the drips
in one minute and making appropriate adjustments. 1. INTRODUCTION Intravenous infusion therapy, administering medica-
tion fluids to a patient directly into their veins, is a
frequently used practice throughout healthcare. In
the UK National Health Service (the NHS) around
15 million infusions are carried out every year. Unfortunately, there are approximately 700 unsafe
incidents reported annually in the UK and many
more going unreported (NPSA 2004); between
44,000–98,000 people die each year as a result
of preventable medical errors in the USA (Kohn,
et al 1999). These rates are higher than those of
deaths from motor-vehicle accidents, breast cancer
and AIDS per year in the USA (Kohn, et al 1999)
and no doubt in any other country with western
healthcare standards (or roads). The problem of
drug dose calculation error has been identified in
the literature (Wright 2012; Warburton 2010); there
have been numerous incidents where calculating or
entering the wrong dose — and administering it —
has led to patient harm or death (e.g., ISMP 2007;
American Medical News 2011 etc). The use of a modern pump such as an infusion
pump assists the safe delivery of IV (intravenous)
medication. Around 90% of hospitalized patients
receive IV medication through an infusion pump. Some “smart pumps” have a pre-installed drug
libraries with fixed thresholds set for each drug. This, in effect, can warn the practitioner of potentially A case study by Lee (2008) carried out in a
large NHS hospital on the mathematical confidence © The Authors. Published by
BCS Learning and Development Ltd. Proceedings of HCI 2014, Southport, UK 299 Managing Gravity Infusion using a Mobile Application
Davies • Chamberlain • Thimbleby • Lee Managing Gravity Infusion using a Mobile Application
Davies • Chamberlain • Thimbleby • Lee infusion is a popular method of infusion due to its
low cost. However as there is no assistance from
a device, there are more steps involved with the
calculation relating to the delivery of any drugs to
be administered in this fashion. Getting each of the
steps right in calculating and delivering the drug is
important to guarantee the safety and well being of a
patient. Figure 1: A mobile application to help practitioners carry
out intravenous drip-rate infusions when medical pumps
are not available. 3.1. Calculating the Right Dose Infusion calculations are carried out in a hospital on
a daily basis. It is crucial that the dose is calculated
correctly to ensure the safety and well-being of a
patient. Figure 2 shows the design of the interface for
calculating drip-rates. There are three main steps
to the calculation: (i) Total volume of the drug to
be infused (in milliliters), (ii) Total time of infusion
(hours/minutes), and (iii) The drop factor (which is
written on the administration set). 2.2. Setting the Drip-Rate Once
the
drip-rate
has
been
calculated,
the
practitioner can then begin to set up the gravity
infusion. This involves hanging the bag of fluid on
a steady drip stand and connecting the correct
administration set from the bag to the patient. The
administration set has a “drip chamber” (shown
in figure 3) built on to it, which is used by the
practitioner to measure the flow rate of the fluid
(that is, watch the drips and time them against their
watch) and adjust a roller clamp to make the flow
rate correct. The flow rate is measured in drops
per minute. One of the problems with this is that it
can be time consuming; adjusting the roller clamp,
looking at your pocket watch, counting the drops,
and trying to adjust the clamp to achieve the precise
drip-rate. Gravity infusion rates are often therefore
approximated. Figure 2: The user interface for calculating a drip-rate for
an infusion. The practitioner must enter the total volume (in
millilitres, mL), total time (in hours and/or minutes) and a
drop-factor (which can be 10, 15, 20 or 60 per mL). When
a value has been set in each of the steps, the drip-rate will
be calculated and displayed. “checker” for practitioners when carrying out gravity
infusions. The mobile application has features for
calculating, setting and checking infusions. 2. GRAVITY INFUSION Gravity infusion is the most basic form of delivering
fluids to a patient. It is delivered intravenously
(into the vein) and can be used in cases where
drug delivery pumps are not available. Since there
is no device to control the delivery, the infusion
rate depends entirely on gravity. The flow rate is
measured by counting the drops per minute. Gravity Practitioners
often
write
down
calculations
on
anything handy, such as wooden tongue depressors. 300 Managing Gravity Infusion using a Mobile Application
Davies • Chamberlain • Thimbleby • Lee Figure 2: The user interface for calculating a drip-rate for
an infusion. The practitioner must enter the total volume (in
millilitres, mL), total time (in hours and/or minutes) and a
drop-factor (which can be 10, 15, 20 or 60 per mL). When
a value has been set in each of the steps, the drip-rate will
be calculated and displayed. This workaround indicates the difficulty of the task for
practitioners in real clinical environments. 2.3. Checking and Monitoring the Drip-Rate Even after completing the process you still need to
check that the rate has not changed of a period
of time. Many factors can influence the drip-rate
of a gravity infusion, from the patient moving their
position, changes in temperature, through to change
in the position/height of the fluid bag. As this is
gravity infusion there are no devices used to monitor
a drip’s activity or alarms to notify staff of changes. It is up to the practitioner to do regular checks
by manually counting the falling drops against the
second hand on their watch. They will usually count
the drops and estimate the drip-rate; that is, they
count drops for approximately 15 seconds on their
watch and then multiply by 4 to get an estimated
number of drops per minutes. We will now discuss how each of the implemented
features in the mobile solution can be used to
carry out gravity infusions safer and briefly describe
the usability techniques that were used in the
development of the system. 4.6. Recognition Rather Than Recall Each step in the calculation is visible and nothing is
hidden. The user is not required to remember any
information from one step to the next. 4.2. Aesthetic and Minimal Design Calculations are very clear to read by breaking down
each calculation step and using a larger font for
answers. The user interface contains only what is
needed for the calculation. on the administration set. For this we used graphical
icons to represent the values, which matches what
is printed on the administration set. Only one value
can be selected at a time and by default, no value is
selected. When a value becomes selected, its button
will change its state and display as highlighted. This
eliminated the chances of a user entering an invalid
value and saves time key pressing. 3. A MOBILE APPLICATION FOR TRAINING
AND CHECKING GRAVITY INFUSIONS We
worked
directly
with
experts
in
the
NHS
and carried out user-centred design approaches
with agile methodologies to allow users to feed
into the design process to
develop a system
that would suit their needs. This included rapid
prototyping and evaluating features through one-on-
one meetings and focus group sessions. We followed
the
recommendations
of
ISO
Standard
14971,
Medical devices – Application of risk management to
medical devices and ISO Standard 62366 Medical
devices – Application of usability engineering to
medical devices. One of the key problems with many software
systems is that they do not always check for human
error. As humans, we make mistakes, which is why
it is critical that we design safety mechanisms into
healthcare systems to detect input errors from the
user. Some of the problems with modern calculators
and how they ignore human error are raised by
Thimbleby (2000), and there are many reports —
both individual cases in the media and in research
— of calculation errors being a leading cause
of medication errors (e.g., ISMP 2007; American
Medical News 2011; BBC 2011). We developed a mobile solution (see figure 1), which
can be used for training purposes and also as a 301 ng a Mobile Application
Thimbleby • Lee
Figure 3: The user interface to help with setting a drip-rate
accurately. The practitioner adjusts the roller clamp on the
infusion and tries to synchronize the real drip-rate (shown
on the left) with the accurate on-screen simulation in the
app. Managing Gravity Infusion using a Mobile Application
Davies • Chamberlain • Thimbleby • Lee 4. USABILITY ENGINEERING We followed the classic Nielsen (1993) for usability
heuristics for user interface design. We sketched
user interfaces, prototyping them, and ran focus
group with nurses, which clearly established the
benefit of the animation. We now summarize some of the error-prevention
methods we engineered into the design to help carry
out safer calculations for infusion drip-rates: 4.3. Help Guides Located
in
the
corner
of
the
interface,
the
“information” icon opens the help features, which
explain each calculation step to the user in case they
get stuck or confused. It also includes the formula
used by the app for the drip-rate calculation. Decimal points have been removed from the number
pad, as they are not needed in this type of
calculation, eliminating the chances of decimal point
errors, which Thimbleby & Cairns (2010) discuss the
risks of. 4.1. Minimize the User’s Memory Load All steps of the calculation appear on the same
screen. This reduces the memory load and allows
users to see previous steps in the calculation, which
lead to the answer. Figure 3: The user interface to help with setting a drip-rate
accurately. The practitioner adjusts the roller clamp on the
infusion and tries to synchronize the real drip-rate (shown
on the left) with the accurate on-screen simulation in the
app. 4.5. Visibility of System Status The interface keeps the user informed about the
state of the calculation by revealing an answer when
all three parts of the calculation have been correctly
entered. Also, whenever a user inputs a number, if
the value is acceptable after a validation check the
number will turn blue to indicate that it has been
accepted and allow the user to progress to the next
step in the calculation. 4.4. Error Prevention Units and conversions are automatically calculated. For example, if a practitioner needs to enter ’75
minutes’ as the total time, there is a feature to
allow them to enter ’75’ as an option directly into
the minutes input field. This also removes the need
to convert 75 minutes into 1 hour and 15 minutes
(which is also an acceptable input). Correct symbols
and abbreviations have been used, and adhere to
the Institute for Safe Medication Practices guidelines
(ISMP 2006). For example “100mL” is correctly
represented as “100 mL” with a space between the
dose and unit of measure, and a capital L is used
for litres, since l (the letter) is too easily confused
with 1 (the digit). The space helps prevent the “m”
from being mistaken as a zero or two zeros (e.g.,
when written badly by hand), risking a 10- to 100-
fold overdose. 4.7. Visual, Audio and Vibration Output for
Better Guidance This visualization
feature is further supported by the use of sound
(“drip falling” sound) and vibration feedback when a
drip falls into the chamber, to guide the practitioner
if they are unable to view the screen continually —
which is likely, as they are also watching the actual
drip chamber. Figure 4: The user interface for checking a drip-rate. The
practitioner taps the icon on the screen every time a drop
falls in the drip chamber. The application will analyse the
taps and time, and calculate the rate, which will then be
displayed on the screen to the practitioner. Figure
4
shows
a
feature
that
we
developed
for
checking
the
drip-rate
of
a
set
infusion. The approach should be compared to current
methods for counting the rate of drips, which
involves a practitioner holding out a pocket watch,
simultaneously counting the number of drops that
fall against the time elapsed, and performing the
appropriate calculations. The
idea
behind
this
feature
was
to
guide
practitioners better when setting up a drip. A
practitioner can hold the visualization up against
the real drip chamber and try to synchronize
the
accurate
on-screen
representation
against
the
real
one,
which
they
try
to
achieve
by
increasing/decreasing the wheel of the roller clamp
on the administration set. We suggest that it can
reduce practitioner workload by not having to count
the drops and time manually, instead matching
the rate of the app’s visualization. It may also be
quicker and could even help achieve the precise rate
that needs to be set. See Future Work, below, in
section 5. As we earlier said, counting how many drops that
fall in 15 seconds, then multiplying this value by 4
to get an average total number of drops per minute
(of course 4 × 15 s = 1 m). The feature that we
have developed works by touching the large “drop”
icon displayed on the interface, each time a drop
falls. When the practitioner first touches the screen,
it will begin a timer and count the number of drops
against the time. The practitioner continues to tap
the interface whenever a drip falls in the chamber. The software measures the intervals between each
screen press and looks for a consistent, steady
pattern in the rate. When a steady pattern has
been made, the software prints a screen alert,
informing the practitioner of the drip-rate value. 4.7. Visual, Audio and Vibration Output for
Better Guidance Each input field has been capped with a threshold to
prevent any accidental lethal doses. “Total volume”
cannot be bigger than 4 digits and the “hours” and
“minutes” fields cannot be greater than 2 digits each. The “drop factor” can only be a value of 10 mL,
15 mL, 20 mL or 60 mL corresponding to the value Once
the
drip-rate
to
an
infusion
has
been
calculated, the next step for the practitioner to do is
set this rate. This involves adjusting a roller clamp
and counting the drops in the drip chamber against 302 Managing Gravity Infusion using a Mobile Application
Davies • Chamberlain • Thimbleby • Lee Managing Gravity Infusion using a Mobile Application
Davies • Chamberlain • Thimbleby • Lee Figure 4: The user interface for checking a drip-rate. The
practitioner taps the icon on the screen every time a drop
falls in the drip chamber. The application will analyse the
taps and time, and calculate the rate, which will then be
displayed on the screen to the practitioner. the seconds-hand on their watch. Carrying out this
process and getting the right rate can be tricky and
therefore the rate is usually approximated. One of the
ways that we thought could help this procedure was
through using some of the affordances that a mobile
device offers — namely visual, audio and vibrations. Figure 3 shows the user interface for supporting
the setting of a drip-rate. The practitioner must first
enter the drip-rate value, which may or may not have
been calculated using the calculate feature. Once a
drip-rate value has been entered, checks are made
to ensure the value is not over the threshold limit. Once the value has been validated and approved,
the visualization can start. The visualization mimics
the design and characteristics of a real drip chamber. Drops will fall from the top and down into the
chamber, repeatedly at the speed of the dripping
rate that was entered by the practitioner. When this
visualization begins, a timer and counter also begins. The timer starts from zero and counts the time of
the drips. The counter counts the number of drops
that have fallen for each second. 4.7. Visual, Audio and Vibration Output for
Better Guidance Instructions and previous recordings are displayed
on the interface to avoid confusion and reduce
memory load. 4.8. Touch Input for Counting Drops Infusions that are administered by a medical pump
(such as an infusion or syringe pump) have the
advantage of monitoring the infusion over the
infusion’s total time set. With gravity infusion there
is no pumping mechanism to deliver the medication
or any tools to monitor the infusion. The practitioner
is required to regularly check that the drip-rate has
not changed and that the patient receives the total
specified amount of medication over the prescribed
amount of time. The idea behind this feature is that practitioners
might be able to perform these regular infusion-rate
checks quicker and also remember what previous
recorded rates were. As this feature relies on the
practitioner’s reactions as input, it is only safe to
say that the final figure is an approximation. Some
initial testing, which has been carried out on a fake
infusion, using a bag of saline showed that this
feature achieved drip-rate values that were within 303 Managing Gravity Infusion using a Mobile Application
Davies • Chamberlain • Thimbleby • Lee profession/308159942/4 [last accessed: March
2014]. a ±3 range. Although it might not be possible to
achieve the exact figure every time, it has shown new
ways of carrying out infusion checks, which can act
as a useful training tool for trainee staff. We aim to
carry out further in-depth studies and focus groups
on the evaluation of this feature with qualified staff
practitioners. BBC News, 2011. Fatal insulin overdose nurse
suspended for year. Available from:
www.bbc.co.uk/news/uk-wales-south-east-wales-
13625168 [last accessed: March
2014]. Wright, K., 2012. How to ensure patient safety in
drug dose calculation. Nursing Times, 108(42),
pp.12–13. 5. FUTURE WORK When we designed this system we used focus
groups and expert users to inform the design, which
allowed us to fine-tune the design. We are now
carrying out user studies with nurses and related
healthcare professionals to evaluate the differences
of carrying out gravity infusion with and without
the app. We are also interested in knowing how
practitioners would use the app and how we can
build on from its current features. Technically, we are
examining the use of augmented reality interfaces
to allow the user to capture drip-rates using the
phone’s camera. We are also examining the use of
the system in a training environment and the way that
as part of training the system could be adapted to
have more social elements. Warburton, P., 2010. Numeracy and patient safety:
the need for regular staff assessment. Nursing
Standard, 24(27), pp.42–44. Kohn, L., Corrigan, J., and Donaldson, M., 1999. To
Err Is Human: Building a Safer Health System. Washington DC: The National Academy Press. Institute for Safe Medication Practices, 2006. List of
Error Prone Abbreviations, Symbols and Dose
Designations. Available from:
ismp.org/tools/errorproneabbreviations.pdf [last
accessed: March 2014]. Institute for Safe Medication Practices, 2007. Fluorouracil Incident Root Cause Analysis. Available from: www.ismp-canada.org [last
accessed: March 2014]. 6. CONCLUSIONS This paper has addressed some of the issues and
difficulties with carrying out gravity infusions. We
have presented a mobile solution and discussed
its design features, which aim to help nurses and
practitioners carry out drug infusions safely and
accurately. Although we still need to carry out user
studies to evaluate the efficiency and usefulness
of these features, our development has shown new
ways of thinking about how we can develop simple
and available mobile solutions that may improve the
quality of safety when carrying out important drug
infusions. We have also demonstrated how we can
apply sound usability engineering techniques and
interactions for future mobile medical software. Lee, P., 2008. Risk-score system for mathematical
calculations in intravenous therapy. Nursing
Standard. 22(33), pp.35–42. Lee, P., Thompson, F., and Thimbleby, H. 2012. Analysis of Infusion Pump Error Logs and Their
Significance for Healthcare. British Journal of
Nursing. 21(8), pp.S12–S22. National Patient Safety Agency, 2004. Safer
Practice Notice 1, Improving Infusion Device
Safety. London. Nielsen, J., 1993. Usability Engineering. Burlington,
MA: Morgan Kaufmann. Acknowledgements Thimbleby, H., 1997. A true calculator. Engineering
Science and Education Journal, 6(3),
pp.128–136. The research on which this article is based was
funded by RCUK research grants [EP/J000604/1,
EP/J000604/2,
and
EP/G065802/1]
and
partly
funded
by
EPSRC
grants
[EP/G059063/1,
EP/L019272/1]. Thimbleby, H., 1995. A new calculator and why it is
necessary. Computer Journal, 38(6), pp.418–433. Thimbleby, H., 2000. Calculators are needlessly
bad. International Journal of Human-Computer
Studies, 52(6), pp.1031–1069. REFERENCES American Medical News, 2011. Revealing their
medical errors: Why three doctors went public. Available from: Thimbleby, H. and Cairns, P., 2010. Reducing
Number Entry Errors: Solving a Widespread,
Serious Problem. Journal Royal Society Interface,
7(51), pp.1429–1439. www.amednews.com/article/20110815/ 304
|
https://openalex.org/W4368347764
|
https://www.researchsquare.com/article/rs-2876848/latest.pdf
|
English
| null |
NME4 promotes cell malignant process by targeting SMAD2 in colorectal cancer
|
Research Square (Research Square)
| 2,023
|
cc-by
| 6,514
|
NME4 promotes cell malignant process by targeting
SMAD2 in colorectal cancer Zhengyu FANG
The First Hospital of Zhejiang University of Traditional Chinese Medicine
Qiongxiang GE Zhengyu FANG
The First Hospital of Zhejiang University of Traditional Chinese Medicine
Qiongxiang GE The First Hospital of Zhejiang University of Traditional Chinese Medicine
Zhi CHEN The First Hospital of Zhejiang University of Traditional Chinese Medicine
Haixin QI The First Hospital of Zhejiang University of Traditional Chinese Medicine
Boan ZHENG
(
13858180116@163.com
)
Zhejiang Provincial People's Hospital Abstract Nucleoside diphosphate kinase 4 (NME4) is aberrantly expressed in several cancer types. However, the
function of NME4 in colorectal cancer (CRC) remains to be elucidated. Bioinformatic analysis and clinical
sample collection revealed that NME4 was highly expressed in CRC tissues and positively correlated with
stage and tumor size. Knockdown of NME4 expression inhibited the proliferation and migration of CRC
cells and promoted apoptosis. Moreover, NME4 inhibition in vivo markedly suppressed the size and
weight of tumors. Then, cDNA microarray and Ingenuity Pathway Analysis (IPA) analysis were applied to
identify SMAD2 and mTOR signaling pathways as downstream targets of NME4. And it was confirmed
that SMAD2 was significantly reduced in CRC tissues and significantly correlated with AJCC staging and
positive numbers. Furthermore, overexpression of NME4 resulted in a substantial increase in SMAD2
expression. NME4 overexpression promoted cell proliferation and migration, whereas knockdown of
SMAD2 greatly reversed its effects. Together, these results suggested that NME4 may act as a novel
tumor-promoting factor that promotes CRC progression by regulating SMAD2 and mTOR signaling
pathways. Research Article Keywords: CYBA, Colorectal cancer, KCNN4, SMAD2, Invasion
Posted Date: May 4th, 2023
DOI: https://doi.org/10.21203/rs.3.rs-2876848/v1
License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License Keywords: CYBA, Colorectal cancer, KCNN4, SMAD2, Invasion
Posted Date: May 4th, 2023
DOI: https://doi.org/10.21203/rs.3.rs-2876848/v1
License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License Posted Date: May 4th, 2023 License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Page 1/24 Page 1/24 Page 1/24 2.1. cDNA microarray and analysis Total RNA was isolated from RKO cells transfected with shCtrl and shNME4. The quality assessment of
microarray data was done by Shanghai Xiaoyan Biotechnology Company (Shanghai, China) on the
microarray data, and all probes with mean values less than 0.005 were filtered out. A linear model based
on empirical Bayesian distribution was calculated for the significant difference level P-value and
corrected for the significant difference level (FDR) with the Benjamini-Hochberg method [21]. The
screening criteria for significantly differential genes were |Fold Change| ≥ 1.5 and FDR < 0.05. Total RNA was isolated from RKO cells transfected with shCtrl and shNME4. The quality assessment of
microarray data was done by Shanghai Xiaoyan Biotechnology Company (Shanghai, China) on the
microarray data, and all probes with mean values less than 0.005 were filtered out. A linear model based
on empirical Bayesian distribution was calculated for the significant difference level P-value and
corrected for the significant difference level (FDR) with the Benjamini-Hochberg method [21]. The
screening criteria for significantly differential genes were |Fold Change| ≥ 1.5 and FDR < 0.05. Differentially expressed genes were further computationally simulated by Ingenuity Pathway Analysis
(IPA; QIAGEN, Valencia, CA, USA) online tool to predict downstream regulators and signaling pathways
potentially regulated by CYBA. Differentially expressed genes were further computationally simulated by Ingenuity Pathway Analysis
(IPA; QIAGEN, Valencia, CA, USA) online tool to predict downstream regulators and signaling pathways
potentially regulated by CYBA. 2.2. Patients 92 patients diagnosed with CRC from in the First Hospital of Zhejiang University of Traditional Chinese
Medicine were recruited for this study. All patients did not receive chemotherapy or radiotherapy pre-
surgery. CRC tissues were collected during surgery. All cases were staged according to the American Joint
Committee on Cancer (AJCC) 7th edition cancer staging manual. Clinical information and pathological
data were collected from patients, and follow-up studies were performed and recorded for a period of X
months after surgery for all patients. The study was approved by the First Hospital of Zhejiang University
of Traditional Chinese Medicine. All patients signed a written informed consent before participation in the
study. 1. Introduction Colorectal cancer (CRC) has been classified as one of the predominantly malignant tumors worldwide. The latest statistics reveal that it ranks 3rd in terms of cancer prevalence and 2nd in mortality globally [1]. As well, CRC appears to be considered in the list of the most commonest malignant tumors in China
recently, with the incidence increasing dramatically. [2, 3]. The causes are linked to diet, nutritional status,
genetics, polyp lesions and chronic inflammation [4]. Further, due to the lack of specific early clinical
signs or validated biomarkers, CRC patients suffer from poor prognosis [5]. According to global cancer
statistics, approximately 930,000 people across the world died from colorectal cancer in 2020 [6]. Although advances in early screening methods and treatment strategies have somewhat improved the
overall survival rate of colorectal cancer patients [7, 8]. Nevertheless, the overall efficacy of current
treatments on account of early metastasis and terminal rapid progression leads to poor survival and
overall prognosis, making it still among the most major medical burdens around the world [9]. Therefore,
seeking sensitive diagnostic biomarkers for colorectal cancer will contribute to the early diagnosis of
colorectal cancer and enable innovative therapeutic targets [10]. Nucleoside diphosphate kinase 4 (NME4/NDPK-D) is a member of the NM23 family[11]. The expression
of human NME4 is widespread, with high expression in the liver, kidney, bladder, and prostate, and low
levels in the brain, testis, and peripheral leukocytes [12, 13]. Previous studies showed that since NME4
contains mitochondrial target sequences, which have been implicated in mitosis, apoptosis, invasive
potential and inflammatory response [14, 15]. Currently, only a few data are available for the study of
NME4 in human cancer. NME4 is differentially expressed in different tumors, with most suggesting
overexpression of NME4 for example in esophageal squamous cell carcinoma, and gastric and colon
cancer tumors [16, 17]. Additionally, research has reported that NME4 affects tumor cell migration,
invasion and lymph node metastasis in a functional manner [18, 19]. However, rarely does the Page 2/24 Page 2/24 relationship between NME4 and CRC been investigated. A previous study showed that NME4 was
statistically down-regulated in response to stimuli thought to be beneficial in the treatment of colon
cancer [20]. This points to the potential involvement of the NME4 in the development of CRC. relationship between NME4 and CRC been investigated. 1. Introduction A previous study showed that NME4 was
statistically down-regulated in response to stimuli thought to be beneficial in the treatment of colon
cancer [20]. This points to the potential involvement of the NME4 in the development of CRC. In this study, bioinformatics and biological experiments were conducted to evaluate the expression of
NME4 in colorectal cancer tissues and cells. Furthermore, the effects of NME4 on the proliferation and
migration ability of colorectal cancer cells and the underlying molecular mechanisms were investigated
by cellular and animal experiments. It will propose new biomarkers and therapeutic targets for the early
diagnosis and treatment of colorectal cancer. 2.3. Tissue microarrays analysis Microarrays of colorectal and paracancerous tissues were prepared as berore [22]. The expression levels
of NME4 and SMAD2 in CRC tissues were examined by immunohistochemical analysis. 2.8. Hematoxylin and eosin (H&E) staining The collected tumor tissue was fixed in 10% formalin and embedded in paraffin. After cutting the tumor
tissues into 4-µm-thick sections, wax was removed and processed. Then, the sections were stained with
H&E (Baso, BA4041, BA4042). Visualization was performed under a light microscope (Leica DM5000B,
Germany). 2.5. Coimmunoprecipitation (Co-IP) assay 2.5. Coimmunoprecipitation (Co-IP) assay For Co-IP assays, cells were lysed with lysis buffer according to the manufacturer's protocol (Invent
Biotechnologies, USA). Nuclear protein lysates were immunoprecipitated with antibodies specific for
NME4, SMAD2, or IgG negative control in a spinner overnight at 4°C. The lysates were then slowly spun
with 50 µL of Protein A/G magnetic beads pre-cleaned with PBST for 2 hours at 4°C. Following washing
the magnetic beads 4 times, the immunoprecipitated complexes were isolated and further analyzed by
Western blotting. 2.4. Cell culture and treatment Page 3/24
The RKO cell line obtained from the Cell Bank of the Chinese Academy of Sciences (Shanghai, China)
was cultured in DMEM (Gibco) of 10% fetal bovine serum (FBS) and incubated at 37°C and 5% CO2 in a humidified atmosphere. NME4 and SMAD2 knockdown lentiviral plasmid (shRNA) were constructed. Negative controls and plasmids were transfected into cells with Lipofectamine 3000 (Invitrogen, CA, USA)
and incubated for 2 days. 2.6. Cell viability assay Cell viability was measured using the CCK-8 assay kit. Treated RKO cells were inoculated into 96-well
culture plates (2000 cells/well) for 12 hours. CCK-8 (100 µL/well) was supplemented and incubated for 2
hours. The absorbance at 450 nm was measured by microplate reader (BioTek, Winooski, VT) and the
growth curve was plotted. 2.7. In vivo tumorigenesis Four-week-old female BALB/c-nude mice were utilized for subcutaneous xenograft experiments. shCtrl or
shNME4 (1×106) was subcutaneously injected into the mice. Tumor size was measured every 5 days with
calipers and calculated with the formula: volume = length × (width2)/2. At the end of the study, mice were
executed under deep anesthesia and tumor tissue was removed. After intraperitoneal injection of D-
luciferin (150 mg/kg), tumor growth was monitored by bioluminescence imaging by the IVIS system. After imaging several time points, the animals were euthanized. All animal experiments were performed
according to institutional guidelines and approved by the First Hospital of Zhejiang University of
Traditional Chinese Medicine 2.9. Ki67 staining After dewaxing the tissue sections, the antigen was recovered with citrate buffer (Sangon Biotech,
Shanghai, China) under autoclave conditions. Then the sections were blocked with 5% normal goat
serum for 1 h at 25℃ and incubated with antibodies against Ki67 (1:100; Abcam, ab16667) overnight at
4°C. Subsequently, sections were treated with HRP anti-rabbit IgG (1:400; Abcam, ab97080). Images were
obtained under a light microscope (Leica DM5000B, Germany). Page 4/24 Page 4/24 2.10. Wound healing assay Cells were seeded in 6-well plates (70,000 cells/well) and cultured to 100% confluence. Scrape the cell
layer on the surface at the plate with a 200 µL sterile plastic tip and remove the suspended cells with
PBS. Culturing the cells in medium without FBS and capturing images of the cells at 0 and 24 hours. 2.12. Western blot analysis Total proteins were extracted from tumor tissues and cells with cell lysis buffer (RIPA, Beyotime)
containing protease inhibitors (PMSF, Boster, China). The protein concentration was measured with a BCA
assay kit (Thermo Fisher Scientific, Shanghai, China). Proteins were transferred onto polyvinylidene
difluoride (PVDF, Millipore, MA, USA) membranes after electrophoresis of 20 µg aliquots of protein in 10%
sodium dodecyl sulfate-polyacrylamide gels (SDS-PAGE). Subsequently, the membranes were incubated
with primary antibodies overnight at 4°C after blocking with 5% skim milk for 1 hour at room temperature. Primary antibodies included anti-NME4 (1:3000, #ab228005, Abcam, UK), anti-SMAD2 (1:2000, #
ab40855, Abcam, UK), anti-MYC (1:1000, #ab32072, Abcam, UK), anti-SMAD6 (1:1000, #ab273106,
Abcam, UK), anti-PTEN (1:2000, #ab170941, Abcam, UK), anti-RPS27A (1:1000, #ab172293, Abcam, UK)
and anti-GAPDH (1:3000, #ab8245, Abcam, UK). The following day, membranes were incubated with HRP
goat anti-rabbit IgG secondary antibody (1:3000, #A0208, Beyotime, China) for 1 h at room temperature. Chemiluminescence was detected on a FluorChem FC system (Alpha Innotech) using an ECL kit
(Millipore, USA) and protein expression was evaluated by ImageJ software. 2.13. Statistical analysis All experimental data are presented as the standard error of the mean (mean ± SD). Statistical analysis
was conducted using GraphPad Prism software 8.0 (San Diego, CA, USA). A two-tailed Student's t-test
was applied to compare data differences between the two groups. Survival analysis was estimated from
the KM Plotter database. Overall survival was estimated using the Kaplan-Meyer method and the logit
test. In addition, variables that were statistically significant in the univariate analysis were included in the
multifactorial analysis. Correlations between NME4 and SMAD2 expression and clinicopathological
characteristics were estimated by chi-square test. For all clinical analyses, * p < 0.05, ** p < 0.01 and *** p
< 0.001 were regarded as statistically significant. 2.11. Quantitative Real-Time PCR (qRT-PCR) analysis Total RNA was extracted with TRIzol reagent (Invitrogen) and qRT-PCR was carried out according to the
previously described method. qRT-PCR reactions were performed in duplicate and repeated three times. Data analysis was performed with 2−ΔΔCT [23] using GAPDH as an internal reference. The primers are in
Table 1. Table 1
Primers sequense. Gene
Forward 5′-3′
Reverse 5′-3′
NME4
GCCCTTCTACCCTGCCCTCA
CGTGGATGACATTCCTGCTGAT
SKI
TCTCGCCACTTGCACCCA
TCCTCCCTGCTTTCAACTTCC
SMAD2
GAAGGCAGACGGTAACAA
TGAGCAACGCACTGAAGG
SMAD6
CATCACTGCTCCGGGTGAATT
GGTCGTACACCGCATAGAGGC
MYC
CTGCGACGAGGAGGAGAA
CCGAAGGGAGAAGGGTGT
BMP2
CTGTATCGCAGGCACTCA
GAATCTCCGGGTTGTTTT
BCL-2
CTGGGAGAACAGGGTACGATAA
GGCTGGGAGGAGAAGATGC
BMPR1A
AAGTTCTGGTAGTGGGTCT
CTGGCTTCTTCAGTGGTA
RPS27A
GATCCAGGATAAGGAAGG
ACCACCACGAAGTCTCAA
HRAS
TTTGCCATCAACAACACCA
TCCTGAGCCTGCCGAGAT
HSPB1
CAAGGATGGCGTGGTGGA
TCTCGTTGGACTGCGTGGC
RPSA
GGGTTTGATGTGGTGGAT
TTGGTCACTGCCTTCTCA
PTEN
ACCATAACCCACCACAGC
CAGTTCGTCCCTTTCCAG
GAPDH
TGACTTCAACAGCGACACCCA
CACCCTGTTGCTGTAGCCAAA Page 5/24 Page 5/24 Table 2
Expression patterns in breast cancer tissues and para-carcinoma tissues
revealed in immunohistochemistry analysis. NME4
expression
Tumor tissue
Para-carcinoma tissue
p value
Cases
Percentage
Cases
Percentage
0.000***
Low
24
26.1%
72
78.2%
High
68
73.9%
20
21.8%
bl
l
i Table 2 Table 2
Expression patterns in breast cancer tissues and para-carcinoma tissues
revealed in immunohistochemistry analysis. 2.12. Western blot analysis Page 6/24 Page 6/24 The different staining intensities of NME4 in TMA-based IHC are shown in the Fig. 1A. The NME4 protein
levels were upregulated in CRC tissues compared to the adjacent tissues (Table. 2). High expression of
NME4 was negatively correlated with OS in CRC patients (Fig. 1B). One-way analysis indicated that NME4
expression had a considerable effect with CRC T Infiltrate and tumor size (P = 0.006 and P = 0.041,
Table 3). Spearman's correlation analyses verified the considerable correlation between high NME4
expression and CRC T Infiltrate and tumor size correlation (Table 4). The different staining intensities of NME4 in TMA-based IHC are shown in the Fig. 1A. The NME4 protein
levels were upregulated in CRC tissues compared to the adjacent tissues (Table. 2). High expression of
NME4 was negatively correlated with OS in CRC patients (Fig. 1B). One-way analysis indicated that NME4
expression had a considerable effect with CRC T Infiltrate and tumor size (P = 0.006 and P = 0.041,
Table 3). Spearman's correlation analyses verified the considerable correlation between high NME4
expression and CRC T Infiltrate and tumor size correlation (Table 4). The different staining intensities of NME4 in TMA-based IHC are shown in the Fig. 1A. The NME4 protein
levels were upregulated in CRC tissues compared to the adjacent tissues (Table. 2). High expression of
NME4 was negatively correlated with OS in CRC patients (Fig. 1B). One-way analysis indicated that NME4
expression had a considerable effect with CRC T Infiltrate and tumor size (P = 0.006 and P = 0.041,
Table 3). Spearman's correlation analyses verified the considerable correlation between high NME4
expression and CRC T Infiltrate and tumor size correlation (Table 4). Page 7/24 Table 3
Relationship between NME4 expression and tumor characteristics in patients with
colorectal cancer. Features
No. Page 6/24 of patients
NME4 expression
p value
low
high
All patients
158
83
75
Age (years)
0.130
<55
68
40
28
≥ 55
84
39
45
Grade
0.642
II
74
40
34
III
60
30
30
AJCC stage
0.095
0
1
1
0
1
26
16
10
2
79
40
39
3
36
15
21
T Infiltrate
0.006**
0
1
1
0
1
39
25
14
2
87
42
45
3
15
4
11
4
1
0
1
lymphatic metastasis(N)
0.455
0
75
41
34
1
39
18
21
2
18
8
10
3
13
7
6
Tumor size
0.041*
< 3cm
61
37
24 Table 3 Page 8/24 Features
No. of patients
NME4 expression
p value
low
high
≥ 3cm
83
36
47
ER nuclear test results
0.738
≤ 5
65
28
37
>5
63
29
34
PR nuclear test results
0.396
=0
78
33
45
>0
50
25
25
HER2 testing results of membrane
0.055
≤ 6
71
37
34
>6
57
20
37
KI67 nuclear test results
0.859
≤ 2.25
64
29
35
>2.25
64
28
36
P53 nuclear test results
0.616
≤ 4
74
35
39
>4
56
24
32
FISH data
0.503
negative
90
43
47
positive
41
17
24 Page 9/24 Page 9/24 Table 4
Relationship between NME4 expression and tumor
characteristics in patients with colorectal cancer Table 4 Table 4
Relationship between NME4 expression and tumor
characteristics in patients with colorectal cancer
NME4
Tumor size
Spearman's correlation
0.171
Significance (two-tailed)
0.041*
N
144
T Infiltrate
Spearman's correlation
0.230
Significance (two-tailed)
0.006**
N
143 Table 5
Expression patterns in colorectal cancer tissues and para-carcinoma tissues
revealed in immunohistochemistry analysis. SMAD2
expression
Tumor tissue
Para-carcinoma tissue
p value
Cases
Percentage
Cases
Percentage
0.000***
Low
39
42.9%
60
65.9%
High
52
57.1%
31
34.1% Page 10/24 Table 6
Relationship between SMAD2 expression and tumor characteristics in
patients with colorectal cancer. Features
No. Page 6/24 Since cell proliferation is closely
related to cell cycle progression, we analyzed the effect of NME4 deletion on cell cycle distribution. The
results indicated that shNME4 treatment resulted in a marked arrest of cell cycle progression,
characterized by the accumulation of cells in the G1 phase (Fig. 2E). The migration and invasion ability of CRC cells transfected with shNME4 was verified using wound
healing assay and transwell assay. The healing rate of scratches in CRC cells was lower in the shNME4
group than in the shCtrl group (Fig. 3A). In vitro cell invasion indicated that the number of cells
penetrating the basement membrane was significantly lower in the shNME4 group than in the shCtrl
(Fig. 3B). 3.3. Loss of NME4 suppresses CRC tumor growth in vivo Next, we explored the effect of NME4 on tumor progression in vivo in a subcutaneous xenograft tumor
mouse model. Bioimaging of animals observed that the bioluminescence of mice injected with NME4
lentiviral cells were all weaker than that of the vector control group (Fig. 4A). Also, as shown in Fig. 4B-D,
tumors in the shNME4 group developed more slowly and mildly than those in the vector group. Additionally, tumor tissues were identified by H&E staining (Fig. 4E). Ki-67 staining resulted in clearly
more Ki-67 positive cells in the control group than in the shNME4 group (Fig. 4F). Page 6/24 of patients
SMAD2 expression
p value
low
high
All patients
91
45
46
Age (years)
0.389
<61.5
42
16
20
≥ 61.5
45
20
16
Tumor size
0.580
<4.75
44
17
27
≥ 4.75
45
20
25
AJCC stage
0.033
1
8
2
6
2
44
15
29
3
34
19
15
4
2
1
1
Positive number
0.048
0
29
10
19
1
15
8
7
2
4
2
2
3
8
5
3
4
1
0
1
6
1
1
0
7
1
1
0
10
1
1
0 Table 6 Relationship between SMAD2 expression and tumor characteristics in
patients with colorectal cancer. Page 11/24 Page 11/24 Page 11/24 Table 7
Relationship between SMAD2 expression and tumor
characteristics in patients with colorectal cancer
SMAD2
AJCC stage
Spearman's correlation
0.229
Significance (two-tailed)
0.032*
N
88
Positive number
Spearman's correlation
0.258
Significance (two-tailed)
0.047*
N
60
3.2. Loss of NME4 promoted apoptosis and inhibited the
activity and migration of CRC cell activity
Transfection with shNME4 was effectively reduced NME4 expression as reported by both wb and qpcr
results (Fig. 2A-B). The results of CCK-8 assay indicated that shNME4 transfection caused a
downregulation of CRC cell proliferation (Fig. 2C). Flow cytometry results indicated that shNME4
transfection elevated the total apoptosis rate of CRC cells (Fig. 2D). Since cell proliferation is closely
related to cell cycle progression, we analyzed the effect of NME4 deletion on cell cycle distribution. The
results indicated that shNME4 treatment resulted in a marked arrest of cell cycle progression,
characterized by the accumulation of cells in the G1 phase (Fig. 2E). Table 7
Relationship between SMAD2 expression and tumor
characteristics in patients with colorectal cancer
SMAD2
AJCC stage
Spearman's correlation
0.229
Significance (two-tailed)
0.032*
N
88
Positive number
Spearman's correlation
0.258
Significance (two-tailed)
0.047*
N
60 Table 7
Relationship between SMAD2 expression and tumor
characteristics in patients with colorectal cancer 3.2. Loss of NME4 promoted apoptosis and inhibited the
activity and migration of CRC cell activity Transfection with shNME4 was effectively reduced NME4 expression as reported by both wb and qpcr
results (Fig. 2A-B). The results of CCK-8 assay indicated that shNME4 transfection caused a
downregulation of CRC cell proliferation (Fig. 2C). Flow cytometry results indicated that shNME4
transfection elevated the total apoptosis rate of CRC cells (Fig. 2D). 3.6. NME4 promoted CRC cell proliferation and migration
i SCAD2 To investigate the role of SMAD2 in the development of CRC, we conducted functional probes. Figure 8A
indicated that overexpression of NME4 increased cell activity and knockdown of SMAD2 decreased it,
while simultaneous overexpression of NME4 and knockdown of SMAD2 decreased cell activity compared
with overexpression of NME4 alone. Moreover, wound healing and cloning experiments revealed that
simultaneous overexpression of NME4 and knockdown of SMAD2 effectively reduced cell migration and
proliferation compared to overexpression of NME4 alone (Fig. 8B-C). Page 12/24
3.4. Knockdown of NME4 suppressed SMAD2 expression
and mTOR pathway Page 12/24 The cDNA microarray analysis suggested that cells in the shNME4 group had significantly differentially
expressed genes compared to cells in the shCtrl group (Fig. 5A). In the classical IPA-based pathway
analysis, we noted interactions between NME4 and ERK/MAPK Signaling, PI3K/AKT Signaling, NF-KB
Signaling, mTOR Signaling, and TGF-β Signaling pathway gene molecules (Fig. 5B). The results of the
biomimetic analysis also suggest a significant enrichment of mTOR Signaling (Fig. 5C). Meanwhile, we
also screened several genes with strong association with NME4, among which MLST8, NPRL3 and
TELO2 were positively associated, and KRAS, MAPK1, ATP6V1A, CAB39, CHUK and PIK3CA were
negatively associated (Fig. 5D). Naturally, the predicted results were verified next. WB outcomes showed that knockdown of NME4
effectively inhibited mTOR pathway activation and reduced SMAD2 expression (Fig. 6A-B). The qpcr
results also clearly demonstrate that knockdown of NME4 effectively decreases SMAD2, SMAD6, MYC,
BMP2, HPAS, HSPB1 and PTEN expression, and increases SKI and RPSA expression (Fig. 6C). 3.5. SMAD2 is positively correlated with NME4 CO-ip assay verified that SMAD2 interacts with NME4 (Fig. 7A). After confirmation that both shSMAD2 1–
3 effectively reduced SMAD2 expression (Fig. 7B), the expression of both NME4 and SMAD2 was
upregulated after overexpression of NME4; knockdown of SMAD2 downregulated both NME4 and
SMAD2 expression; simultaneous overexpression of NME4 and knockdown of SMAD2 decreased in
NME4 and SMAD2 expression compared to overexpression of NME4 (Fig. 7C-E). Furthermore, the SMAD2
protein levels were upregulated in CRC tissues compared to the adjacent tissues (Table. 5). One-way
analysis indicated that SMAD2 expression had a considerable effect with AJCC stage and positive
number (P = 0.033 and P = 0.048, Table. 6). Spearman's correlation analyses verified the considerable
correlation between high SMAD2 expression and CRC AJCC stage and positive number (Table. 7). 4. Discussion Despite the serious burden CRC poses to society, there are currently no available effective biological
targets for its diagnosis and treatment [24, 25]. In the present study, we investigated the specific Page 13/24 expression of NME4 in CRC tissues and proved its pro-carcinogenic effect. Furthermore, we investigated
the possible mechanism by which NME4 may act via regulating SMAD2. NME4, as well as naming Nm23-H4, is an abbreviation for NME/NM23 nucleoside diphosphate kinase 4,
and its primary role is the synthesis of nucleoside triphosphates [26]. Current studies on its function are
mostly focused on mitochondrial function and its role in cancer. It was determined that NME4 interacts
with CL to target dysfunctional mitochondria for lysosomal degradation during mitochondrial inner
membrane potential collapse [11]. NME4 has also been characterized as a novel metastasis suppressor
gene [26]. In this study, we first clarified the specific high expression of NME4 in CRC tissues by tissue
microarray analysis. It was also found that high expression of NME4 was relevant to pathological staging
and poor prognosis of CRC. That established an important role of NME4 in CRC. Earlier research
evidenced that NME4 serves as a possible novel tumor promoter that enhances non-small cell lung
cancer progression by overcoming cell cycle arrest and promoting proliferation [18]. Our experimental
results were similar in that knockdown of NME4 expression inhibited the proliferation and migration of
CRC cells and promoted apoptosis. It demonstrated the pro-carcinogenic role of NME4 in CRC. Similarly,
subcutaneous injection of colon cancer cells for subcutaneous tumorigenesis assay confirmed that
knockdown of NME4 gene in mice also inhibited tumor growth. Knockdown of NME4 was also evaluated
in esophageal squamous cell carcinoma, and similar to our findings, inhibited the proliferation and
invasion of cancer cells [16]. To dive deeper into the mechanism of NME4 action, IPA and bioinformatics were performed to analyze
possible downstream genes and pathways. The mTOR signalling and SMAD2 were selected to further
study. mTOR activity is frequently dysregulated in a variety of human cancers, and upregulation of mTOR
signaling facilitates tumor growth and progression through multiple mechanisms [27]. Study evidenced
that negative regulation of AKT/mTOR/HIF1α signaling inhibits proliferation of colorectal cancer [28]. Additionally, activation of Smad2/3 promotes metastasis in colorectal and breast cancers [29]. These
findings are consistent with our results. Besides, we verified the interaction relationship between NME4
and SMAD2. 4. Discussion In CRC cells, overexpression of NME4 elevated NME4 and SMAD2 expression, and
knockdown of SMAD2 expression decreased NME4 and SMAD2 expression; while knockdown of SMAD2
after overexpression of NME4 also efficiently decreased NME4 and SMAD2 expression. Subsequently, we
demonstrated that NME4 promotes proliferation and migration of CRC cells through regulation of
SMAD2. 5. Conclusions In conclusion, this study identifies a key role for NME4 in CRC development and explores in detail the
mechanisms that positively regulate SMAD2. the critical role of NME4 in CRC development may provide
evidence for the development of new therapies targeting NME4 for CRC. Author Contributions F.ZY and Z.BA conceived and designed the study. F.ZY and G.QJ performed the majority of the
experiments, performed preliminary analysis and drafted the manuscript. C.Z and Q.HX participated in the
completion of the experiments. F.ZY and Z.BA reviewed the data analysis and revised the manuscript. All
the authors read and approved the final manuscript and agree to be accountable for all aspects of the
work. Data Availability Statement The data supporting the findings of this study are available from the corresponding author upon
reasonable request. Declarations Page 14/24 Page 14/24 Conflicts of Interest
The authors have no conflict of interest. Ethics Statement
N/A. Informed Consent
N/A. Registry and the Registration No. of the study/trial
N/A. Animal Studies
N/A. Conflicts of Interest The authors have no conflict of interest. Animal Studies Animal Studies References 1. Kossenas K, Constantinou C. Epidemiology, Molecular Mechanisms, and Clinical Trials: an Update on
Research on the Association Between Red Meat Consumption and Colorectal Cancer[J]. Curr Nutr
Rep. 2021;10(4):435–67. 2. Li N, Lu B, Luo C, et al. Incidence, mortality, survival, risk factor and screening of colorectal cancer: A
comparison among China, Europe, and northern America[J]. Cancer Lett. 2021;522:255–68. 3. Xia C, Dong X, Li H, et al. Cancer statistics in China and United States, 2022: profiles, trends, and
determinants[J]. Chin Med J (Engl). 2022;135(5):584–90. 4. Lawrence BJ, Alexander E, Grant H, et al. Colorectal cancer and absolute risks[J]. Gut. 2021;70(11):2215–6. Page 15/24 5. Mahmoud NN. Colorectal Cancer: Preoperative Evaluation and Staging[J]. Surg Oncol Clin N Am. 2022;31(2):127–41. 6. Cancer CG, Kocarnik JM, Compton K et al. Cancer Incidence, Mortality, Years of Life Lost, Years Lived
With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A
Systematic Analysis for the Global Burden of Disease Study 2019[J], JAMA Oncol 2022; 8(3):420–
444. 7. Ganesh K. Optimizing immunotherapy for colorectal cancer[J]. Nat Rev Gastroenterol Hepatol. 2022;19(2):93–4. 8. Ciardiello F, Ciardiello D, Martini G, et al. Clinical management of metastatic colorectal cancer in the
era of precision medicine[J]. CA Cancer J Clin. 2022;72(4):372–401. 9. Kanemitsu Y, Shimizu Y, Mizusawa J, et al. Hepatectomy Followed by mFOLFOX6 Versus
Hepatectomy Alone for Liver-Only Metastatic Colorectal Cancer (JCOG0603): A Phase II or III
Randomized Controlled Trial[J]. J Clin Oncol. 2021;39(34):3789–99. 10. Zygulska AL, Pierzchalski P. Novel Diagnostic Biomarkers in Colorectal Cancer[J], Int J Mol Sci 2022;
23(2). 11. Schlattner U, Tokarska-Schlattner M, Epand RM, et al. NME4/nucleoside diphosphate kinase D in
cardiolipin signaling and mitophagy[J]. Lab Invest. 2018;98(2):228–32. 12. Herbert E, Potter VR, Takagi Y. Nucleotide metabolism. IV. The phosphorylation of 5'-uridine
nucleotides by cell fractions from rat liver[J]. J Biol Chem. 1955;213(2):923–40. 13. Lacombe ML, Tokarska-Schlattner M, Epand RF, et al. Interaction of NDPK-D with cardiolipin-
containing membranes: Structural basis and implications for mitochondrial physiology[J]. Biochimie. 2009;91(6):779–83. 14. Schlattner U, Tokarska-Schlattner M, Epand RM, et al. Mitochondrial NM23-H4/NDPK-D: a
bifunctional nanoswitch for bioenergetics and lipid signaling[J]. Naunyn Schmiedebergs Arch
Pharmacol. 2015;388(2):271–8. 14. Schlattner U, Tokarska-Schlattner M, Epand RM, et al. Mitochondrial NM23-H4/NDPK-D: a
bifunctional nanoswitch for bioenergetics and lipid signaling[J]. Naunyn Schmiedebergs Arch
Pharmacol. 2015;388(2):271–8. 15. Fujita Y, Fujiwara K, Zenitani S, et al. Acetylation of NDPK-D Regulates Its Subcellular Localization
and Cell Survival[J]. PLoS ONE. 2015;10(10):e0139616. 15. References Fujita Y, Fujiwara K, Zenitani S, et al. Acetylation of NDPK-D Regulates Its Subcellular Localization
and Cell Survival[J]. PLoS ONE. 2015;10(10):e0139616. 16. Zheng S, Liu T, Liu Q, et al. Widely targeted metabolomic analyses unveil the metabolic variations
after stable knock-down of NME4 in esophageal squamous cell carcinoma cells[J]. Mol Cell
Biochem. 2020;471(1–2):81–9. 16. Zheng S, Liu T, Liu Q, et al. Widely targeted metabolomic analyses unveil the metabolic variations
after stable knock-down of NME4 in esophageal squamous cell carcinoma cells[J]. Mol Cell
Biochem. 2020;471(1–2):81–9. 17. Seifert M, Welter C, Mehraein Y, et al. Expression of the nm23 homologues nm23-H4, nm23-H6, and
nm23-H7 in human gastric and colon cancer[J]. J Pathol. 2005;205(5):623–32. 17. Seifert M, Welter C, Mehraein Y, et al. Expression of the nm23 homologues nm23-H4, nm23-H6, and
nm23-H7 in human gastric and colon cancer[J]. J Pathol. 2005;205(5):623–32. 18. Wang W, Dong M, Cui J, et al. NME4 may enhance nonsmall cell lung cancer progression by
overcoming cell cycle arrest and promoting cellular proliferation[J]. Mol Med Rep. 2019;20(2):1629–
36. 18. Wang W, Dong M, Cui J, et al. NME4 may enhance nonsmall cell lung cancer progression by
overcoming cell cycle arrest and promoting cellular proliferation[J]. Mol Med Rep. 2019;20(2):1629–
36. 19. Lu YC, Chang JT, Liao CT et al. OncomiR-196 promotes an invasive phenotype in oral cancer through
the NME4-JNK-TIMP1-MMP signaling pathway[J], Mol Cancer 2014; 13(218. 19. Lu YC, Chang JT, Liao CT et al. OncomiR-196 promotes an invasive phenotype in oral cancer through
the NME4-JNK-TIMP1-MMP signaling pathway[J], Mol Cancer 2014; 13(218. Page 16/24 Page 16/24 20. Maness L, Goktepe I, Chen H, et al. Impact of Phytolacca americana extracts on gene expression of
colon cancer cells[J]. Phytother Res. 2014;28(2):219–23. 21. Ritchie ME, Phipson B, Wu D, et al. limma powers differential expression analyses for RNA-
sequencing and microarray studies[J]. Nucleic Acids Res. 2015;43(7):e47. 22. Rimm DL, Camp RL, Charette LA, et al. Tissue microarray: a new technology for amplification of
tissue resources[J]. Cancer J. 2001;7(1):24–31. 23. Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative C(T) method[J]. Nat
Protoc. 2008;3(6):1101–8. 24. Biller LH, Schrag D. Diagnosis and Treatment of Metastatic Colorectal Cancer: A Review[J]. JAMA. 2021;325(7):669–85. 25. Bien J, Lin A. A Review of the Diagnosis and Treatment of Metastatic Colorectal Cancer[J]. JAMA. 2021;325(23):2404–5. 26. Lacombe ML, Lamarche F, De Wever O, et al. The mitochondrially-localized nucleoside diphosphate
kinase D (NME4) is a novel metastasis suppressor[J]. References BMC Biol. 2021;19(1):228. 27. Hua H, Kong Q, Zhang H, et al. Targeting mTOR for cancer therapy[J]. J Hematol Oncol. 2019;12(1):71. 28. Weng ML, Chen WK, Chen XY, et al. Fasting inhibits aerobic glycolysis and proliferation in colorectal
cancer via the Fdft1-mediated AKT/mTOR/HIF1alpha pathway suppression[J]. Nat Commun. 2020;11(1):1869. 28. Weng ML, Chen WK, Chen XY, et al. Fasting inhibits aerobic glycolysis and proliferation in colorectal
cancer via the Fdft1-mediated AKT/mTOR/HIF1alpha pathway suppression[J]. Nat Commun. 2020;11(1):1869. 29. Zhang L, Zhu Z, Yan H, et al. Creatine promotes cancer metastasis through activation of Smad2/3[J]. Cell Metab. 2021;33(6):1111–23. e1114. Figures Page 17/24
Figure 1 Figure 1 Page 17/24 Page 17/24 NME4 protein expression in CRC tissue samples and corresponding non‐cancer tissue samples. (A)
Representative TMA‐IHC images of different staining intensities of NME4. (B) Patients with high NME4
expression showed lower OS compared to those with low NME4 expression. p<0.001. **** epresentative TMA‐IHC images of different staining intensities of NME4. (B) Patients with high NME4
xpression showed lower OS compared to those with low NME4 expression. p<0.001. ****
gure 2
ffect of shNME4 on CRC cell activity, apoptosis and cell cycle progression
A) WB detected NME4 protein expression in shCtrl and shNME4 groups. (B) qpcr detection of NME4
RNA expression in shCtrl and shNME4 groups. (C) CCK-8 assay of OD450 in shCtrl and shNME4
roups.(D) Flow cytometry assay for apoptosis rate in shCtrl and shNME4 groups. (E) Flow detection of
ell cycle progression in shCtrl and shNME4 groups. Error bars represent mean±SEM and represent the
lt
f th
i
t
0 05
0 01 *** Figure 2 Effect of shNME4 on CRC cell activity, apoptosis and cell cycle progression
(A) WB detected NME4 protein expression in shCtrl and shNME4 groups. (B) qpcr detection of NME4
mRNA expression in shCtrl and shNME4 groups. (C) CCK-8 assay of OD450 in shCtrl and shNME4
groups.(D) Flow cytometry assay for apoptosis rate in shCtrl and shNME4 groups. (E) Flow detection of
cell cycle progression in shCtrl and shNME4 groups. Error bars represent mean±SEM and represent the Effect of shNME4 on CRC cell activity, apoptosis and cell cycle progression (A) WB detected NME4 protein expression in shCtrl and shNME4 groups. (B) qpcr detection of NME4
mRNA expression in shCtrl and shNME4 groups. (C) CCK-8 assay of OD450 in shCtrl and shNME4
groups.(D) Flow cytometry assay for apoptosis rate in shCtrl and shNME4 groups. (E) Flow detection of
cell cycle progression in shCtrl and shNME4 groups. Error bars represent mean±SEM and represent the
results of three experiments. p<0.05, p<0.01. *** (A) WB detected NME4 protein expression in shCtrl and shNME4 groups. (B) qpcr detection of NME4
mRNA expression in shCtrl and shNME4 groups. (C) CCK-8 assay of OD450 in shCtrl and shNME4
groups.(D) Flow cytometry assay for apoptosis rate in shCtrl and shNME4 groups. (E) Flow detection of
cell cycle progression in shCtrl and shNME4 groups. Error bars represent mean±SEM and represent the
results of three experiments. p<0.05, p<0.01. *** Page 18/24 Page 18/24 Figure 3
Effect of shNME4 on CRC cell migration and invasion. A) Representative images and quantitative analysis of wound healing of cells in the shCtrl and shNME4
groups were taken after scratching the CRC cell surface for 0 and 24 h. (B) Number of migrating cells in
he shCtrl and shNME4 groups. Error bars represent the mean ± SEM and are representative of the result
of three experiments p<0 05 p<0 001 **** Figure 3 Effect of shNME4 on CRC cell migration and invasion. Effect of shNME4 on CRC cell migration and invasion. (A) Representative images and quantitative analysis of wound healing of cells in the shCtrl and shNME4
groups were taken after scratching the CRC cell surface for 0 and 24 h. (B) Number of migrating cells in
the shCtrl and shNME4 groups. Error bars represent the mean ± SEM and are representative of the results
of three experiments. p<0.05, p<0.001. **** Page 19/24 igure 4
ffect of shNME4 on the growth of tumor in vivo. A) Quantification of bioluminescence images and fluorescence expression in the shCtrl and shNME4
roups of the exosome mouse model. (B) Tumor images. (C) Quantification of tumor weight. (D)
Quantitative analysis of tumor volumes. (E) Representative images of HE staining. (F) Representative
mages of Ki67 staining. Figure 4 Effect of shNME4 on the growth of tumor in vivo. (A) Quantification of bioluminescence images and fluorescence expression in the shCtrl and shNME4
groups of the exosome mouse model. (B) Tumor images. (C) Quantification of tumor weight. (D)
Quantitative analysis of tumor volumes. (E) Representative images of HE staining. (F) Representative
images of Ki67 staining. Page 20/24 Figure 5
Bioconductivity analysis of pathways and genes strongly associated with NME4. (A) Volcano plot. (B) Significant enrichment of differential genes in classical pathways. (C) KEGG
i h
(D) Si
ifi
i h
f diff
i l
i
l
i
l
h Figure 5
Bioconductivity analysis of pathways and genes strongly associated with NME4. (A) Volcano plot (B) Significant enrichment of differential genes in classical pathways (C) KEGG Figure 5 Bioconductivity analysis of pathways and genes strongly associated with NME4. Bioconductivity analysis of pathways and genes strongly associated with NME4. (A) Volcano plot. (B) Significant enrichment of differential genes in classical pathways. (C) KEGG
enrichmenr. (D) Significant enrichment of differential genes in classical pathways. (A) Volcano plot. (B) Significant enrichment of differential genes in classical pathways. (C) KEGG
enrichmenr. (D) Significant enrichment of differential genes in classical pathways. Page 21/24 gure 6
nockdown of NME4 inhibited mTOR signaling and SMAD2. A) WB detected NME4-related pathway-associated protein expression. (B) WB detected protein
xpression associated with NME4 (C) qpcr detected protein expression associated with NME4 Figure 6 Knockdown of NME4 inhibited mTOR signaling and SMAD2. Knockdown of NME4 inhibited mTOR signaling and SMAD2. (A) WB detected NME4-related pathway-associated protein expression. (B) WB detected protein
expression associated with NME4. (C) qpcr detected protein expression associated with NME4. Page 22/24 Page 22/24 Page 22/24 Figure 7
NME4 and SMAD2 were positively correlated. Figure 7 Figure 7
NME4 and SMAD2 were positively correlated. (A) CO-ip assay. (B) qpcr detection of shSMAD2-1, shSMAD2-2 and shSMAD2-3 efficiency. (C) NME4
expression detected by qpcr. (D) SMAD2 expression detected by qpcr. (E) NME4 and SMAD2 expression
detected by WB. NME4 and SMAD2 were positively correlated. NME4 and SMAD2 were positively correlated. (A) CO-ip assay. (B) qpcr detection of shSMAD2-1, shSMAD2-2 and shSMAD2-3 efficiency. (C) NME4
expression detected by qpcr. (D) SMAD2 expression detected by qpcr. (E) NME4 and SMAD2 expression
detected by WB. Page 23/24 Page 23/24 Figure 8
NME4 promoted CRC cell proliferation and migration via SCAD2. (A) CCK-8 assay of OD450. (B) Representative images and quantitative analysis of wound healing of
cells were taken after scratching the CRC cell surface for 0 and 24 h. (C) Number of migrating cells. Error
bars represent the mean ± SEM and are representative of the results of three experiments. p<0.05, p<0.01. *** Figure 8
NME4 promoted CRC cell proliferation and migration via SCAD2 Figure 8 Figure 8 NME4 promoted CRC cell proliferation and migration via SCAD2. (A) CCK-8 assay of OD450. (B) Representative images and quantitative analysis of wound healing of
cells were taken after scratching the CRC cell surface for 0 and 24 h. (C) Number of migrating cells. Error
bars represent the mean ± SEM and are representative of the results of three experiments. p<0.05, p<0.01. *** (A) CCK-8 assay of OD450. (B) Representative images and quantitative analysis of wound healing of
cells were taken after scratching the CRC cell surface for 0 and 24 h. (C) Number of migrating cells. Error
bars represent the mean ± SEM and are representative of the results of three experiments. p<0.05, p<0.01. *** Page 24/24
|
https://openalex.org/W4296640286
|
https://www.intechopen.com/citation-pdf-url/82666
|
English
| null |
Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study from Benue State, Nigeria
|
IntechOpen eBooks
| 2,023
|
cc-by
| 8,012
|
Abstract Industrial effluent discharged into surface water is an environmental concern, as it
affects the esthetics, water quality as well as microbial and aquatic flora. Brewery
effluents were analyzed for physicochemical parameters (pH, temperature, conduc-
tivity, turbidity, total dissolved solids (TDS), dissolved oxygen (DO), biological oxy-
gen demand (BOD), chemical oxygen demand (COD), nitrate, and sulfate, chloride)
and heavy metals (As, Cd, Co, Cr, Fe, Mn, Ni, Pb, and Zn). Atomic absorption
spectrophotometer was used to characterize heavy metals using standard analytical
methods and compared with WHO standards. The result showed that pH (6.2–6.98),
conductivity (137–273 μS/cm), chloride (31–53 mg/l), nitrate (7.53–10.72 mg/l), BOD,
and DO were within the WHO limit. However, turbidity, sulfate, and phosphate were
above the WHO limit. Heavy metal concentrations Cr, Ni, Pb, Mn, As, and Cd were
higher than the WHO limit and vice versa for Fe, Zn, and Co. Ecological risk assess-
ment revealed that effluent samples pose low to moderate ecological risk, for As, Pb,
and Ni. Therefore, there is a need for proper treatment and continual monitoring
before discharge into the environment. Keywords: brewery effluents, heavy metal, ecological risk, contamination factor,
pollution load index 1. Introduction Due to an increase in industrial activities, environmental pollution is one of the
most critical problems in developing countries. More challenging is the unsafe dis-
posal of solid wastes/industrial wastes into the ambient environment. Industries that
use large amounts of water in their processes include chemical manufacturing, steel
plants, metal processors, etc. Effluents and most products from industries create 1 1 River Basin Management - Under a Changing Climate serious pollution to water bodies and soils. Water bodies especially freshwater reser-
voirs, and rivers are the most affected. This has rendered underground and surface
waters unsafe for human, recreational, and agricultural use. Biotic life is destroyed
and natural ecosystems are infected. Human life is at risk and the principle of sus-
tainable development is compromised [1]. Moderately or untreated industrial effluents may contain high levels of pollutants
which in water body systems cause an increase in BOD, COD, Total Dissolved Solids
(TDS), Total Suspended Solids (TSS), toxic metals such as Cd, As, Cr, Ni, and Pb, and
fecal coliform. Hence make such water unsuitable for drinking, irrigation, and aquatic
life support. Industrial wastewater impacts include high BOD from biodegradable
wastes such as those from human sewage, pulp and paper industries, slaughterhouses,
tanneries, and chemical industries [2–4]. Brewery wastewater effluent is highly variable in quality and composition. The
products of the brewery operations include large volumes of wastewater from liquors
pressed from grains and yeast recovery, from the Clean-in-place system located in the
brewing house, cellar house, and bottling house, which is discharged into the nearby
River. These industrial wastewaters are the main source of heavy metals since nearly
all industrial by-products consist of some level of heavy metals [5]. y
y
Wastewater shows different degrees of environmental nuisance and contamina-
tion hazards due to its chemical and microbiological characteristics. Excessive nutri-
ents (primarily, nitrogen and phosphorus) in wastewater, sludge, and excreta may
contaminate surface waters and cause eutrophication, which affects the esthetics of
water bodies (lakes, rivers), and results in odor and appearance problems, which was
evident in the physiochemical evaluation of brewery effluents in Enugu State [6] and
Edo State [7] both in Nigeria. 1. Introduction Previous research has shown that the release of untreated effluents has the poten-
tial to negatively impact aquatic organisms, by decreasing pH to acid level, increasing
conductivity, temperature turbidity, and total solids in such an environment leading
to a decrease in dissolved oxygen with microbial bloom from rich nutrients (nitro-
groups, sulfur-groups, and phosphors) [8–12]. Heavy metals are also released from these effluents. Studies have shown that long-
term exposure to low concentrations of some heavy metallic anions can result in the
development of sub-chronic to chronic illnesses and diseases in a given population,
usually between 1 in 1000 to 1 in 1,000,000 as institutionalized by the US. Environ-
mental Protection Agency (EPA) [13, 14]. The forms in which metal pollutants exist in wastewater discharges determine
their release into the aquatic ecosystem. Some metals become bio-available when
soluble airborne solids are dissolved by weak acids such as carbonic acid. Their
concentration became enhanced by the abundance of metals in road dust and tire
residues [15]. The physicochemical properties and selected heavy metals of industrial effluents
from consolidated Breweries in Benue State, Nigeria were studied. Therefore, the
study aimed to assess the concentration levels, and ecological and health risks of
industrial effluents discharged daily into the nearby River, a primary source of
fishing activity and domestic purposes in the neighboring community. Information
from the present study will be helpful to the relevant government agencies and
policymakers in preparing preventive action to control the direct discharge of efflu-
ents from chemical industries, agro-based activities, and domestic waste to the rivers
and the sea. 2 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 2.1 Location/study area Consolidated breweries plc Makurdi, Benue state is located at kilometer 5 Gboko
Road, pm 102,339 Makurdi, Benue State, Nigeria. The locality is predominantly an
agrarian community where farming and animal husbandry takes place with a few
industrials such as small and medium scale enterprise (mechanic workshop, local
markets, construction, and mining) activities. Figure 1 shows the map of the study
location. 2.3.5 Biological oxygen demand (BOD) BOD measures the amount of dissolved oxygen used by microorganisms in the
oxidation of organic matter in a water sample. The BOD was determined by collecting
the water sample in a sealed bottle, incubating for a standard period in the dark
(usually 5 days at 200°C), and determining the residual oxygen in the water at the end
of incubation (Model H1 9146, HANNA). BOD was determined using the following
formula as described by AOAC [16]. BOD ¼ DO1–DO5
ð
Þ mg=l (1) Where: DO1 = Sample before incubation. DO1 = Sample before incubation. DO5 = Sample after 5 days of incubation. DO5 = Sample after 5 days of incubation. 2.3.2 Turbidity The turbidity of the samples was determined using the turbidity meter (Labtech
digital model), and EPA 180 was selected as the measurement mode. 2.3.4 Dissolved oxygen (DO) DO is the amount of gaseous oxygen dissolved in the water. It was determined
using a dissolved oxygen meter (Model H1 9146, HANNA) as described by
AOAC [16]. 2.2 Sample collection and preparation Four samples of effluent were collected with a cleaned plastic container at a
different location in the brewery. The plastic containers used were carefully washed
with 1% HNO3 acid, rinsed with tap water, and then distilled water. The samples were
labeled appropriately; Sample A-untreated effluent, B- treated effluent, C- contact
point of the treated effluent with the river, and D- 10 kilometers away from the
contact point. These samples were transported to the laboratory for analysis in an ice-
packs container and protected from direct sunlight. They were stored in the refriger-
ator at 20°C. Figure 1. Study map showing the study locations. Figure 1. Study map showing the study locations. Figure 1. Study map showing the study locations. Figure 1. gu
. Study map showing the study locations. 3 River Basin Management - Under a Changing Climate 2.3.1 pH The pH values of the samples were determined at the point of sampling using a
portable pH meter after calibrating against buffer solution (pH 4.7 and 9.2). 2.3.3 Total dissolved solids (TDS) TDS was determined by an electrometric method using a TDS meter (Jenway,
model 4076). 2.3 Physicochemical analysis 2.3.1 pH 2.3.8 Sulfate Ten ml of water sample was pipetted into a conical flask plus 5 ml of 2 N HCl and
0.05 N BaCl2. The solution was boiled for 5 minutes and allowed to cool. Two ml of
ammonium (NH4
+) and 5 ml of 0.01 N EDTA were added to the solution and boiled
for 5 minutes. Five ml of pH buffer 10 and 3 drops of Eriochrome black) indicators
were added. The solution was titrated with 0.01 N MgCl2. Sulfate was determined by
using the following formula: 10 Tv 0:93
ð
Þ 96:01484
10
mg=l
(4)
Where:
Tv = Titrate value of the sample. 96.01484 = molecular weight of sulfate. 0.93 = Constant. 10
Volume of water sample used (4) 10 p
96.01484 = molecular weight of sulfate. 10 = Volume of water sample used. 2.3.6 Chemical oxygen demand (COD) COD is the amount of oxygen consumed under specified conditions of organic and
oxidizable inorganic matter in water and wastewater. The COD is determined first by
pipetting 10 ml of the water sample into a conical flask and adding 5 ml of 0.025 N
potassium dichromate (K2Cr207). 15 ml of sulfuric acid (H2S04) was added to it, and
the solution was diluted with 40 ml of distilled water to get a 70 ml solution. Seven
drops of phenolphthalein ferrous sulfate indicator were added, and the solution was
allowed to cool. The solution was titrated with 0.025 N ferrous ammonium sulfate. A
blank solution was also titrated. COD was determined by using the following formula: 4 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 T1 T2
ð
Þ N 8000 C
Volume of water sample used mg=l
ð
Þ
(2) (2) Where:
T1 = Titer value for blank. T2 = Titer value for effluent sample. N = Normality of the ferrous ammonium Sulfate used is 0.025. C = Chloride correction which is in Milligram per liter of chloride 0.03. 8000 = Milliequivalent weight of oxygen x 1000 mL/L. T1 = Titer value for blank. 2.3.7 Chloride Ten ml of the water sample was pipetted into a conical flask with 3 drops of
potassium chromate (K2Cr02) and the solution was titrated with 0.1 N silver nitrate
(AgNO3). Chloride was determined by using the following formula: Tv x 0:003546 x 105
ð
Þmg
l
(3) Tv x 0:003546 x 105
ð
Þmg
l
(3) Tv x 0:003546 x 105
ð
Þmg
l
(3) Tv x 0:003546 x 105
ð
Þmg
l (3) Where: Tv = Titer value of sample. p
0.003546 = equivalent weight of chloride 2.4.2 Degree of contamination (Cdeg) This is the summation of the contamination factor of all chemical contaminants in
the study site. It is calculated as follows: Cdeg ¼
X
CF
ð
Þ ¼ CF1 þ CF2 þ CF3 þ ∙∙∙þ CFn
(6) (6) For the description of contamination degree (Cdeg), the following terminologies
have been used: i. Cdeg <8: low degree of contamination; i. Cdeg <8: low degree of contamination; i. Cdeg <8: low degree of contamination; ii. 8 ≤Cdeg <16: moderate degree of contamination; iii. 16 ≤Cdeg <32: considerable degree of contamination; iv. Cdeg ≥32: very high degree of contamination. iv. Cdeg ≥32: very high degree of contamination. 2.4.1 Contamination factor (CF) 2.4.1 Contamination factor (CF) CF is the extent of pollution of the contaminant of interest, it is expressed: CF ¼
chemical contaminant of interest
background value using WHO standard
(5) (5) The following terminology was used to describe the contamination factor: The following terminology was used to describe the contamination factor: The following terminology was used to describe the contamination factor: i. CF < 1: low contamination factor; ii. 1 ≤CF < 3: moderate contamination factor; iii. 3 ≤CF < 6: considerable contamination factor; iv. CF ≥6 _ very high contamination factor. 2.4.2 Degree of contamination (Cdeg) 2.4.2 Degree of contamination (Cdeg) 2.3.9 Analysis of effluent samples for heavy metals concentration An effluent sample of 200 mL was measured into a 500 mL beaker, and 5 mL of
concentrated nitric acid was carefully added. This solution was concentrated to 20 mL
by heating in a water bath for a few hours. The concentrated extract was cooled and
transferred into a 50 mL standard flask, then made up to mark with distilled water. Heavy metal (Pb, Cd, Zn, As, Cr, Fe, Mn, Co, and Ni) contents of the samples were
determined using atomic absorption spectrophotometer (Spectra AA Varian 400
plus) involving direct aspiration of the aqueous solution into air-acetylene flame. A 5 River Basin Management - Under a Changing Climate reagent blank was prepared and analyzed. Heavy metal concentrations of a series of
standards were determined and a calibration graph was developed. From the graph,
the concentrations of heavy metals in the sample were calculated as described by
Braid et al. [17]. 2.4 Ecological risk assessment Ecological risk assessment
1 Contamination factor (CF) 2.4.1 Contamination factor (CF) 2.4.3 Modified degree of contamination (mCdeg) This is the average effect of all chemical contaminants of interest, the advantage of
mCdeg is that it quantifies the chemical contaminants into a composite aggregate to
derive salient information about the study site using the formula: 6 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 mCdeg ¼ 1
n
X
CF
ð
Þ
(7) (7) Where: n is the total chemical contaminant and CF is the contamination factor. mCdeg is classified as: i. mCdeg <4: low moderate contamination;
ii. 4 ≤mCdeg <16: medium moderate contamination;
iii. 12 ≤mCdeg <20: high moderate contamination;
iv. mCdeg ≥20: extreme moderate contamination. i. mCdeg <4: low moderate contamination; ii. 4 ≤mCdeg <16: medium moderate contamination; iv. mCdeg ≥20: extreme moderate contamination. iv. mCdeg ≥20: extreme moderate contamination. 2.4.4 Pollution load index (PLI) This is the geometric mean of CF value to the nth number of chemical contami-
nants of interest, it is given as described by Tomlinson et al. [18]: PLI ¼ CF1 CF2 CF3 ∙∙∙ CFn
ð
Þ1=n
(8) PLI ¼ CF1 CF2 CF3 ∙∙∙ CFn
ð
Þ1=n (8) Where:
n is the total chemical contaminant. CF is the contamination factor. The PLI gives the level of pollution classified as: Where:
n is the total chemical contaminant. CF is the contamination factor. The PLI gives the level of pollution classified as: Where: i. PLI < 1: no pollution; ii. 1 < PLI < 2: modest pollution; iii. 2 < PLI < 3: high pollution; iii. 2 < PLI < 3: high pollution; iv. 3 < PLI: extremely high pollution. iv. 3 < PLI: extremely high pollution. 2.4.5 Potential ecological risk index (PERI) Assesses the toxicity factor of a particular chemical contaminant of interest,
where the definite contamination status is evaluated concerning the ecosystem. It is
expressed as shown in Eq. (9) and (10). A methodology to assess ecological risks for
aquatic pollution was developed by Hakanson [19]. The ecological risk index (RI) is
calculated as a sum of eight elements of heavy metals (As, Cd, Cr, Ni, Mn, Pb, Co,
and Zn). PERI ¼
X
Er ¼ TF CF
(9)
Ri ¼
X
Er
(10) (9) (9) (10) Where: :
Er is the ecological risk index of different chemical contaminants, Er is the ecological risk index of different chemical contaminants, 7 River Basin Management - Under a Changing Climate TF is the toxicity factor of each chemical contaminant of interest as described by
Hussain et al. [20] and Umeh et al. [21]. CF is the contamination factor in Eq. (5), CF is the contamination factor in Eq. (5),
RI is the risk index calculated as the sum of the potential ecological risk factors for RI is the risk index calculated as the sum of the potential ecological risk factors for
heavy metals in the wastewater. y
Er and RI values are categorized using: y
Er and RI values are categorized using: i. Er <40 and RI <150: low ecological risk;
ii. 40 < Er ≤80 and 150 < RI <300: moderate ecological risk;
iii. 80 < Er ≤160, appreciable ecological risk;
iv. 160 < Er ≤320 and 300 < RI <600: high ecological risk;
v. Er > 320 and RI ≥600: extremely high ecological risk. i. Er <40 and RI <150: low ecological risk;
ii. 40 < Er ≤80 and 150 < RI <300: moderate ecological risk;
iii. 80 < Er ≤160, appreciable ecological risk; i. Er <40 and RI <150: low ecological risk;
ii. 40 < Er ≤80 and 150 < RI <300: moderate ecological risk; iii. 80 < Er ≤160, appreciable ecological risk; iv. 160 < Er ≤320 and 300 < RI <600: high ecological risk; v. 160 < Er ≤320 and 300 < RI <600: high ecological risk; v. Er > 320 and RI ≥600: extremely high ecological risk. v. Er > 320 and RI ≥600: extremely high ecological risk. Table 1.
Physical parameters of the studied effluents. Table 1.
Physical parameters of the studied effluents. 3. Results The values of the physical and chemical parameters of effluent samples from the
Brewery are presented in Table 1 and Figure 2 respectively. The pH values were 6.98,
6.20, 6.48, and 6.72 for sampling points A, C, D, and E respectively. In all sampling
locations, the highest pH value of 6.98 was obtained at sampling point A and the
lowest value of 6.20 was obtained at sampling point C. p
g p
The TDS values in the present work ranged from 4.0 to 48.0 mg/l. Dissolved
oxygen values ranged from 4.70 to 23.60 mg/l for all sampling points. The highest
(15.90) and lowest (0.40) biological oxygen demand values were recorded at sampling
points C and A, respectively. The chemical oxygen demand in the present work ranged
from 18.88 to 19.24.32 mg/l. The values of nitrate varied between 1.28–1.95 mg L-1. The
highest (7.16) phosphate value was recorded at sampling point C and the lowest (6.93)
at sampling point A. Sulfate values ranged from 31.69 to 35.39 mg/l for all sampling
points. Chloride values ranged from 28.00 to 53.00 mg/l for all sampling points. g
g
g
Figure 3 shows the results of heavy metals concentration analyses of effluent
samples across the study area. Among the 9 elements studied, concentrations of As,
Pb, and Ni were higher than WHO recommended limits. In contrast, lower concen-
trations of Co, Mn, and Zn were observed in the different sampling locations. Ele-
ments displayed wide variations in their distribution, suggesting control of Parameters
Sample A
Sample B
Sample C
Sample D
WHO
pH
6.20
6.98
6.48
6.72
6.50–8.50
Turbidity (NTU)
102.70
115.00
39.90
30.70
50. 00
TDS (mg/l)
48.00
4.00
16.00
10.00
500.00
Conductivity (μS/cm)
272.00
273.00
178.00
187.00
1000.00
*A-un treated effluent, B- treated effluent, C- contact point of the treated effluent with the river and D- 10 kilometers
away from the contact point. 8 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 anthropogenic activities on water chemistry. Overall, concentration of the study ele-
ments followed the order: As >Fe > Mn > Zn > Ni > Pb > Cr > Co > Cd. The sampling
site C recorded the highest concentration of Fe and As. Figure 3. Heavy metal concentrations. Figure 2. Chemical parameters from the studied effluents. 4. Discussion Water quality in an aquatic environment is very important for the survival of its
flora and fauna. Water pH can affect aquatic organisms as their metabolic activities
are pH-dependent [22, 23]. The pH across the sampling points ranges from 6.20 in
sample A to 6.98 in sample B, indicating slight acidity. A significant (P ≤0.05)
difference was observed between the pH values for each sampling point, although, B
and D were within the WHO [24] guideline regulatory limit of 6.5–8.5 set for drinking
water, while samples A and C were a little below the standard limit. The slight acidity
could be attributed to the chemicals used in the treatment processes and the water
may serve as a sink for various wastes and chemical preservatives used in the brewery
such as oxides of sulfur, nitro, carbon, and phosphor in turn form sulfuric, nitric,
carbonic and phosphoric acid on reaction with water leading to microbial bloom from
rich nutrients source thereby causing reduction in dissolved oxygen, increase turbid-
ity, conductivity, odor and diminish aquatic esthetic respectively. Water pH helps to
control metal solubility, and water hardness and serves as an indicator of water
pollution [7, 9]. p
Nitrate in the present study was all below-recommended limit when compared
to the WHO [24] standard for safe drinking water. Nitrate is alleged to be an
indicator of pollution in the public water supply [25]. It is the stable form of
nitrogen that plays a significant role in the process of eutrophication. The
conductivity range of the various sampling points varied considerably across the study
area. Point B showed the highest value and, therefore, decreased along with the
sampling points, most likely due to the effect of dilution and removal of soluble salts
by biological utilization. y
g
The biological oxygen demand (BOD) and chemical oxygen demand (COD) are
useful parameters in water quality analysis. The highest and lowest BOD values were
recorded at sampling points A and B, respectively. Biological oxygen demand is the
amount of oxygen required by aerobic microorganisms to stabilize the organic mate-
rial of wastewater at a standardized temperature (20°C) and time of incubation
(usually 5 days). It is used to indicate the organic strength of water. When BOD is less
than 4 mg/l, water is deemed to be reasonably clean and unpolluted, while a BOD level
greater than 10 mg/l indicates pollution [26]. 3. Results DO: Dissolved oxygen; BOD: Biological oxygen demand; COD:
Chemical oxygen demand. DOI: http://dx.doi.org/10.5772/intechopen.105955 Figure 2. Figure 2. Chemical parameters from the studied effluents. DO: Dissolved oxygen; BOD: Biological oxygen demand; COD:
Chemical oxygen demand. anthropogenic activities on water chemistry. Overall, concentration of the study ele-
ments followed the order: As >Fe > Mn > Zn > Ni > Pb > Cr > Co > Cd. The sampling
site C recorded the highest concentration of Fe and As. Figure 3. Heavy metal concentrations. Figure 2. Chemical parameters from the studied effluents. DO: Dissolved oxygen; BOD: Biological oxygen demand; COD:
Chemical oxygen demand. 9 anthropogenic activities on water chemistry. Overall, concentration of the study ele-
ments followed the order: As >Fe > Mn > Zn > Ni > Pb > Cr > Co > Cd. The sampling
site C recorded the highest concentration of Fe and As. Figure 3. Heavy metal concentrations. Figure 2. Chemical parameters from the studied effluents. DO: Dissolved oxygen; BOD: Biological oxygen demand; COD:
Chemical oxygen demand. 9 g
3
Heavy metal concentrations. anthropogenic activities on water chemistry. Overall, concentration of the study ele-
ments followed the order: As >Fe > Mn > Zn > Ni > Pb > Cr > Co > Cd. The sampling
site C recorded the highest concentration of Fe and As. anthropogenic activities on water chemistry. Overall, concentration of the study ele-
ments followed the order: As >Fe > Mn > Zn > Ni > Pb > Cr > Co > Cd. The sampling
site C recorded the highest concentration of Fe and As. anthropogenic activities on water chemistry. Overall, concentration of the study ele-
ments followed the order: As >Fe > Mn > Zn > Ni > Pb > Cr > Co > Cd. The sampling
site C recorded the highest concentration of Fe and As. 9 River Basin Management - Under a Changing Climate 4. Discussion g
g
p
Chemical oxygen demand is a measure of organic contamination in water. It is the
amount of dissolved oxygen required to cause chemical oxidation of the organic
material in water and is a key indicator of the environmental health of surface water
[18]. There was a gradual increase in chemical oxygen demand from point B to point
D. Chemical oxygen demand values were below the WHO recommended value of
200 mg/l [24]. High chemical oxygen demand COD values indicate pollution due to
oxidizable organic matter [27]. Phosphate concentration was high in all sampling points and greater than the
WHO recommended value of 2.0 mg/l. Phosphate is known as a limiting nutrient in
the aquatic ecosystem [28]. There is little variation in dissolved oxygen values of
effluent samples across the study areas. The dissolved oxygen concentration is a
function of temperature, pressure, salinity, and biological activities in the water
body. The tropical aquatic ecosystem should have a dissolved oxygen concentration
of at least 5 mg/l in other to support diversified biota, including fish [29–32]. The
level of 4.70 mg/l for point B was within the WHO, [24] standard value of 5 mg/l
necessary for aquatic productivity, while other points were above the standard limit of
5 mg/l. 10 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 The highest value of sulfate was observed in point C (35.39 mg/l). This value is
far below the permissible limit stipulated by World Health Organization WHO, [24]. The present work was in line with the work of Alao [30], who also reported low
sulfate levels in the water receiving brewery effluent in Majawe Ibadan. g
y
j
The values of chloride and iron obtained from point B, C, and D falls below the
WHO permissible limit, while point C was within the 1 mg/l desirable level from
WHO. The result of chloride agrees with Imoobe and Koye [33], who reported the
value of chloride in Eruvbi Stream to be below the permissible limit stipulated by the
World Health Organization [24]. The discharge of industrial effluents into receiving
water bodies invariably results in the presence of a high concentration of pollutants in
the water and sediments. The pollutants are present in concentrations that may be toxic to different organ-
isms [34–36]. 4. Discussion The concentration of Cadmium across the study area ranged from 0.001
at sampling points B and D to 0.007 at sampling point C. The values recorded were
lower than (0.043 mg/l) and (0.072 mg/l) in the water reported by Oguzie and
Okhagbuzo [37]. The value of all samples assessed was above the permissible limit of
0.003 ppm set by WHO [24] for drinking water except for sampling points B and D. High concentrations of Cadmium (Cd) have been reported to inhibit the bio-uptake of
Phosphorus and Potassium by plants [38]. Specific industries involved in electroplating, pigments production, chemicals, and
alloy processing are sources of cadmium to the urban environment. Chromium (Cr)
levels in the effluents were relatively low across the different sampling points. The
concentrations of chromium in effluents were below the 0.050 mg/l value
recommended by the World Health Organization (WHO) [24] in industrial effluents
except for sampling point B. A high concentration of nickel (Ni) was recorded in the effluent samples ranging
from 0.114 ppm in point D to 0.246 ppm in point A. The concentrations of nickel in
effluents are higher than the <1 mg/l value recommended by the WHO [24] in
industrial effluents. Ni has wide applications in the manufacture of batteries, fertil-
izer, welding products, electroplating, and household appliances and has essential
functions in every area of industrial activity [2]. Lead (Pb) and Arsenic (As), a major environmental pollutant is a multi-organ
poison that, in addition to well-known toxic effects, depresses immune status and
causes damage to the central nervous system, kidney, and reproductive system [39]. The lead (Pb) values were quite low in all the sampling points except in point E where
it was not detected. All the points showed a lead value above the maximum acceptable
concentration. 4.1 Contamination factor/pollution index The contamination factor (CF) values were revealed in Table 2. Arsenic (As) can
be categorized as a very high contamination factor across all the sampling locations. The highest values of CF of As at location C (48.46) and the lowest at location B
(33.12), indicating severe anthropogenic contribution to the contamination load of
rivers at this site. The CF of Cd (Cadmium) can be categorized as low to moderate. Two locations (B and D) can be categorized as having low CF of Cd, and two locations
(A and C) can be categorized as having moderate CF of Cd. Lead (Pb) can be
categorized as a very high CF across all the sampling locations. The highest values of
CF of Pb at location A (32) and the lowest at location B (12.1). The CF of Ni
(Nickel) can be categorized as considerable to very high contamination. Two locations 11 River Basin Management - Under a Changing Climate Sample locations/elements
A
B
C
D
Arsenic (As)
48.26
33.12
48.46
45.20
Cadmium (Cd)
1.67
0.33
2.33
0.33
Cobalt (Co)
0.00
0.085
0.10
0.00
Chromium (Cr)
0.64
2.48
0.26
0.38
Iron (Fe)
3.42
0.624
0.83
0.53
Manganese (Mn)
0.51
1.035
0.73
0.30
Nickel (Ni)
8.20
7.17
4.96
3.80
Lead (Pb)
32.00
12.1
13.8
0.00
Zinc (Zn)
0.063
0.038
0.033
0.012
PLI
2.10
1.25
1.16
0.70
C.deg
94.7
25.14
71.50
50.55
M-C.deg
40.17
21.05
29.56
5.616
*A-un treated effluent, B- treated effluent, C- contact point of the treated effluent with the river and D- 10 kilometers
away from the contact point. PLI: pollution load index; C.deg.: degree of contamination; M-C.deg.: modified degree of
contamination. *A-un treated effluent, B- treated effluent, C- contact point of the treated effluent with the river and D- 10 kilometers
away from the contact point. PLI: pollution load index; C.deg.: degree of contamination; M-C.deg.: modified degree of
contamination. Table 2.
Contamination factor, pollution index and contamination index. Table 2. Contamination factor, pollution index and contamination index. (C and D) can be categorized as having considerable CF of Ni, and two locations (A
and B) can be categorized as having very high CF of Ni. The CF of cobalt and Zinc can
be categorized as low contamination factors of Co and Zn, respectively. Other ele-
ments such as Cr (0.26–2.48), Mn (0.29–1.035), and Fe (0.62–3.42) can be categorized
as low to moderate CF. The result indicates that contamination of effluents from
Nigeria Brewery contributed to As and Pb [21]. g
y
The pollution Load Index (PLI) is a resourceful tool to measure and compare
contamination. Analyzed effluents samples discharged into rivers at locations A (2.1),
B (1.25), and C (1.16) displayed higher PLI values (PLI > 1) and progressive deterio-
ration in quality. Location D was observed to have a low pollution index value of 0.7. The order for PLI was A > B > C > D. Higher PLI values in rivers demonstrated
substantial anthropogenic impacts on the river quality signifying the need for imme-
diate intervention to prevent pollution. In contrast, lower PLI values pointed to no
considerable anthropogenic activities, signifying no need for intervention but requir-
ing constant monitoring [31]. g
g
Degrees of contamination (Cdeg) values of effluents from Nigeria’s brewery are
revealed in Table 2. The degree of contamination across the sampling locations can be
categorized into four categories according to the Patil et al. [28] classification. Sam-
pling locations A, C, and D can be categorized as having a very high degree of
contamination (Cd value = 94.7, 71.50, and 50.54, respectively), this indicates very
severe anthropogenic pollution at these sampling sites. Location B indicates a consid-
erable degree of contamination with a Cd value of 25.137. The present study revealed
Pb and Ni as the most severe component causing moderate to very high river con-
tamination. A similar pattern was noted for contamination degree (Cdeg), where
sampling locations having dominant anthropogenic activities displayed a high Con-
tamination degree. Regular monitoring of the river for the presence of trace elements,
especially Arsenic, lead, and nickel, is required [34]. 4.2 Potential ecological risk index method The evaluation results on the potential ecological risk factor (Eir) and the potential
ecological risk index (RI) are summarized in Table 3. The order of potential ecological
risk coefficient (Eir) of heavy metals in discharge effluents was As > The evaluation results on the potential ecological risk factor (Eir) and the potential
ecological risk index (RI) are summarized in Table 3. The order of potential ecological
risk coefficient (Eir) of heavy metals in discharge effluents was As >
Pb > Cd > Ni > Cr > Mn > Co > Zn. The mean potential ecological risk coefficient of
Cd, Cr, Mn, Ni, Co, and Zn were all lower than 40, which is low ecological risk. At the
same time, the mean potential ecological risk coefficient of Pb and As were greater
than 80 and 320, respectively, which indicates moderate to extremely high ecological
risk. All the sampling locations were at High to very high-risk levels where the RI
values were much greater than 600. However, because most samples are contami-
nated with As, Pb, and Ni, their impact on the ERI became very obvious and predom-
inant. Therefore, the present study indicates that As, Pb, and Ni were the major heavy
metal posing an ecological risk in the study area [21, 31, 35]. Table 2.
Contamination factor, pollution index and contamination index. 12 Sample Locations/Elements
A
B
C
D
Mean
Arsenic (As)
482.6
331.2
484.6
452
437.6
Cadmium (Cd)
50.1
9.9
69.9
9.9
34.9
Cobalt (Co)
0
0.425
0.5
0
0.231
Chromium (Cr)
3.2
12.4
1.3
0.76
4.42
Manganese (Mn)
2.55
5.175
3.65
1.475
3.212
Nickel (Ni)
41
35.83
24.8
19
30.15
Lead (Pb)
160
60.5
69
0
72.37
Zinc (Zn)
0.038
0.063
0.0326
0.012
0.036
Risk index
739.48
455.5
653.78
483.14
582.9
Risk grade
Extremely High
High
Extremely High
High
High
A- un treated effluent, B- treated effluent, C- contact point of the treated effluent with the river and D-10 kilometers
away from the contact point. Table 3. Potential ecological risk index. Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Acknowledgements The authors acknowledge and extend their sincere gratitude to all who assisted in
realizing this present work. 5. Conclusion The laboratory analysis results of the effluent samples indicated that metals and
other contaminants from the effluents have compromised the River quality. The results
of the physicochemical analysis showed that sulfate, phosphate, COD, and heavy
metals such as Cr, Ni, Pb, Mn, As, and Cd were slightly higher than WHO and FEPA
standards for drinking water, while the pH, Chloride, Nitrate, Nitrite, TDS, Conduc-
tivity, BOD, COD and some heavy metals such as Fe, Zn, Co were within the standard
of WHO and FEPA, set for drinking water. The study, however, showed that some
contaminants sampled were within statutory limits. It was also observed that sample A
(Untreated effluent) and sample B (Treated effluent) had lower mean differences than
sample C and sample D. Contamination factors follow a similar trend in metal contam-
ination. At the same time, PLI index models confirmed that the effluents from the 13 River Basin Management - Under a Changing Climate different sampled locations were polluted, except for location D, which is unpolluted. The mean anthropogenic input for the sampled effluents for the individual metals
followed the order As> Fe > Mn > Zn > Ni > Pb > Zn > Cr > Co > Cd. The ecological
risk assessments for the heavy metals were at high ecological risk. Furthermore, the
potential ecological index depicts As at extremely high risk, Pb at appreciable risk, Ni at
moderate risk, and Cr, Mn, Co, Zn, and Cd at a low ecological risk level. Hence any
significant increase would persuade environmental challenges. However, the present
study recommends proper treatment of effluents before discharging to reduce their
mean difference from the WHO standard and protect the health of the local population. Conflict of interest All the authors declare no conflict of interest regarding this manuscript. Notes/thanks/other declarations We are thankful for the invitation to contribute to River Basin Management and
other anonymous reviewers for their assistance. This research work was self-funded,
as the authors declare no conflict of interest. Author details
Eucheria N. Nweke1,2, Victor U. Okechukwu1, Daniel O. Omokpariola1*,
Theresa C. Umeh1 and Nwanneamaka R. Oze3
1 Department of Pure and Industrial Chemistry, Nnamdi Azikiwe University, Awka,
Nigeria
2 Department of Chemistry, College of Education Umunze, Nigeria
3 Department of Chemistry, Federal University of Technology, Owerri, Nigeria
*Address all correspondence to: omeodisemi@gmail.com
© 2022 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of
the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0),
which permits unrestricted use, distribution, and reproduction in any medium, provided
the original work is properly cited. 14 Author details Eucheria N. Nweke1,2, Victor U. Okechukwu1, Daniel O. Omokpariola1*,
Theresa C. Umeh1 and Nwanneamaka R. Oze3 Eucheria N. Nweke1,2, Victor U. Okechukwu1, Daniel O. Omokpariola1*,
Theresa C. Umeh1 and Nwanneamaka R. Oze3 1 Department of Pure and Industrial Chemistry, Nnamdi Azikiwe University, Awka,
Nigeria 2 Department of Chemistry, College of Education Umunze, Nigeria 3 Department of Chemistry, Federal University of Technology, Owerri, Nigeria *Address all correspondence to: omeodisemi@gmail.com © 2022 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of
the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0),
which permits unrestricted use, distribution, and reproduction in any medium, provided
the original work is properly cited. References Midwestern Nigeria. Journal of Scientific
Research and Reports. 2014;3(3):514-531 [1] Fakayode SO. Impact assessment of
industrial effluent on water quality of
the receiving Alaro River in Ibadan,
Nigeria. The Journal of African Medical
Association. 2005;10:1-13 [8] Teshome JY, Gelanew A, Abayneh B. Impact of Dashen brewery effluent on
irrigation water quality of Shinta River in
Gondar, Ethiopia. Journal of Academia
and Industrial Research. 2019;8(1):11-15 [8] Teshome JY, Gelanew A, Abayneh B. Impact of Dashen brewery effluent on
irrigation water quality of Shinta River in
Gondar, Ethiopia. Journal of Academia
and Industrial Research. 2019;8(1):11-15 [2] Onwukeme VI, Okechukwu VU. Leaching matrix of selected heavy metals
from soil to groundwater sources in
active dumpsites: A case study of
southern Nigeria. IOSR Journal of
Environmental Science, Toxicology,
Food Technology. 2021;14(4):1-18 [9] Abrha BH, Chen YJ. Analysis of
Physico-chemical characteristics of
effluents from beverage industry in
Ethiopia. Journal of Geoscience and
Environment Protection. 2017;5:172-182. DOI: 10.4236/gep.2017.56016 [9] Abrha BH, Chen YJ. Analysis of
Physico-chemical characteristics of
effluents from beverage industry in
Ethiopia. Journal of Geoscience and
Environment Protection. 2017;5:172-182. DOI: 10.4236/gep.2017.56016 [3] Lin Q, Liu E, Zhang E, Li K, Shen J. Spatial distribution, contamination and
ecological risk assessment of heavy
metals in surface sediments of Erhai
Lake, a large eutrophic plateau lake in
Southwest China. Catena. 2016;145:
193-203 [10] Alemayehu HG. Physico-chemical
characterization of commercial local
alcohol beverages available in south
nations, nationalities and People’s
regional state, Ethiopia. International
Journal of ChemTech Research. 2018;
11(8):227-231 [4] Phiri O, Mumba P, Moyo BHZ,
Kadewa W. Assessment of the impact of
industrial effluents on water quality of
receiving rivers in urban areas of
Malawi. International Journal of
Environmental Science and Technology. 2005;2:237-244 [11] Naibaho J, Korzeniowska M. The
variability of physico-chemical properties
of brewery spent grain from 8 different
brewerie.s. Heliyon. 2021;7:e06583. DOI:
10.1016/j.heliyon.2021.e06583 [11] Naibaho J, Korzeniowska M. The
variability of physico-chemical properties
of brewery spent grain from 8 different
brewerie.s. Heliyon. 2021;7:e06583. DOI:
10.1016/j.heliyon.2021.e06583 [5] Malu SP, Andrew C, Abah J, Oko OJ. Determination of heavy metals in
Brewer’s spent grains obtained from
Benue brewery limited (BBL), Makurdi,
north Central Nigeria. Journal of Natural
Science Research. 2014;4(1):119-122 [12] Pérez-Aguilar J, Ramos-Barrales R. Study of physico-chemical parameters in
smallscale craft beer production. Biosaia
(revista de los másteres de Biotecnología
Sanitaria y Biotecnología Ambiental,
Industrial y Alimentaria de la UPO). 2021;10:1 [6] Ogbu KC, Ebenebe CI, Abaijue MC. © 2022 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of
the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0),
which permits unrestricted use, distribution, and reproduction in any medium, provided
the original work is properly cited. 14 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 [4] Phiri O, Mumba P, Moyo BHZ,
Kadewa W. Assessment of the impact of
industrial effluents on water quality of
receiving rivers in urban areas of
Malawi. International Journal of
Environmental Science and Technology.
2005;2:237-244 [20] Hussain R, Khattak S, Shah M, Ali L.
Multistatistical approaches for
environmental geochemical assessment
of pollutants in soils of Gadoon Amazai
industrial estate, Pakistan. Journal of
Soils and Sediments. 2015;15(5):
1119-1129 United States Environmental Protection
Agency; 2010. Available from: www.epa.
gov/ncea/iris/index.html [22] Asare-Donkor NK, Boadu TA,
Adimado AA. Evaluation of groundwater
and surface water quality and human
risk assessment for trace metals in
human settlements around the
Bosomtwe crater Lake in Ghana. Springer Plus. 2016;5:1812-1821 [15] Lagerweff JV, Specht AW. Contamination of roadside soil and
vegetation with Cd, Ni, Pb, and Zn. Environmental Science & Technology. 1970;5:483-586 [15] Lagerweff JV, Specht AW. Contamination of roadside soil and
vegetation with Cd, Ni, Pb, and Zn. Environmental Science & Technology. 1970;5:483-586 [16] AOAC. Official Methods of Analysis. 18th ed. Marylland, U.S.A: Association of
Official Analytical Chemists; 2011 [23] Wang WN, Wang AL, Chen L,
Liu Y, Sun RY. Effects of pH on survival,
phosphorus concentration, adenylate
energy charge, and Na(+)-K(+) ATPase
activities of Penaeus chinensis Osbeck
juveniles. Aquatic Toxicology. 2002;60
(1–2):75-83 [17] Braid RN, Eaton AD, Rice EW,
Bridgewater L. Standard methods for the
examination of water and wastewater. In: United States: Water Environment
Federation. 23rd ed. Washington, DC:
American Water Works Association;
2017 [17] Braid RN, Eaton AD, Rice EW,
Bridgewater L. Standard methods for the
examination of water and wastewater. In: United States: Water Environment
Federation. 23rd ed. Washington, DC:
American Water Works Association;
2017 [24] WHO. Guidelines for Drinking-
Water Quality: Incorporating the First
Addendum. 4th ed. Geneva. Available
from: https://apps.who.int/iris/rest/b
itstreams/1080656/retrieve;: World
Health Organization (WHO); 2018 [18] Tomlinson DL, Wilson JG,
Harris CR, Jeffrey DW. Problems in the
assessment of heavy-metal levels in
estuaries and the formation of a
pollution index. Helgoland Marine
Research. 1980;33:566-575 [25] Ijeh BI, Onu NN. Assessment of
pollution levels of groundwater in parts
of Imo River basin, south eastern
Nigeria. International Journal of Water
Research and Environmental
Engineering. 2013;5:194-202 [19] Hakanson L. An ecological risk index
for aquatic pollution control. A
sedimentological approach. Water
Research. 1980;14:975-1001 [19] Hakanson L. An ecological risk index
for aquatic pollution control. A
sedimentological approach. Water
Research. 1980;14:975-1001 [26] Mocuba JJ. Dissolved Oxygen and
Biochemical Oxygen Demand in the
Waters Close to the Quelimane Sewage
Discharge [Thesis]. Bergen, Norway:
University of Bergen; 2010 [20] Hussain R, Khattak S, Shah M, Ali L. Multistatistical approaches for
environmental geochemical assessment
of pollutants in soils of Gadoon Amazai
industrial estate, Pakistan. Journal of
Soils and Sediments. 2015;15(5):
1119-1129 [27] Atobatele OE, Morenikeji OA,
Ugwumba OA. Spatial variation in
physical and chemical parameters of
benthic macroinvertebrate fauna of river
Ogunpa, Ibadan. Zoology. [18] Tomlinson DL, Wilson JG,
Harris CR, Jeffrey DW. Problems in the
assessment of heavy-metal levels in
estuaries and the formation of a
pollution index. Helgoland Marine
Research. 1980;33:566-575 References Physico-chemical characteristics of Ama
Brewery effluent and its receiving Ajali
River in Udi, Enugu state, Nigeria. Animal Research International. 2016;
13(2):2392-2399 [13] USEPA. Regional Screening Levels
(RISLS)-user’s Guide-Risk Assessment. Washington DC, USA: United States
Environmental Protection Agency; 2017. Available from: https://www.epa.gov/
risk/regionalscreening-levels-rsls [7] Ikhajiagbe B, Kekere O,
Omoregbee O, Omokha FI. Microbial
and physiochemical quality of effluent
water from a Brewery in Benin City, [7] Ikhajiagbe B, Kekere O,
Omoregbee O, Omokha FI. Microbial
and physiochemical quality of effluent
water from a Brewery in Benin City, Omoregbee O, Omokha FI. Microbial
and physiochemical quality of effluent
water from a Brewery in Benin City, [14] USEPA. Integrated Risk Information
System (IRIS). Washington, DC, USA: 15 River Basin Management - Under a Changing Climate SSRN. 2022;406:1-30. DOI: 10.2139/
ssrn.4067308 [17] Braid RN, Eaton AD, Rice EW,
Bridgewater L. Standard methods for the
examination of water and wastewater.
In: United States: Water Environment
Federation. 23rd ed. Washington, DC:
American Water Works Association;
2017 [23] Wang WN, Wang AL, Chen L,
Liu Y, Sun RY. Effects of pH on survival,
phosphorus concentration, adenylate
energy charge, and Na(+)-K(+) ATPase
activities of Penaeus chinensis Osbeck
juveniles. Aquatic Toxicology. 2002;60
(1–2):75-83 [28] Patil PN, Sawant DV,
Deshmukh RN. Physico-chemical
parameters for testing of water – A
review. International Journal of United States Environmental Protection
Agency; 2010. Available from: www.epa.
gov/ncea/iris/index.html 2005;3:58-67 [21] Umeh CT, Nduka JK,
Omokpariola DO, Morah JE,
Mmaduakor EC, Okoye NH, et al. Ecological pollution and health risk
monitoring assessment of polycyclic
aromatic hydrocarbons and heavy metals
in Enugu River, South-Eastern Nigeria. [21] Umeh CT, Nduka JK,
Omokpariola DO, Morah JE,
Mmaduakor EC, Okoye NH, et al. Ecological pollution and health risk
monitoring assessment of polycyclic
aromatic hydrocarbons and heavy metals
in Enugu River, South-Eastern Nigeria. [28] Patil PN, Sawant DV,
Deshmukh RN. Physico-chemical
parameters for testing of water – A
review. International Journal of [28] Patil PN, Sawant DV,
Deshmukh RN. Physico-chemical
parameters for testing of water – A
review. International Journal of 16 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Pollution Evaluation of Industrial Effluents from Consolidated Breweries: A Case Study…
DOI: http://dx.doi.org/10.5772/intechopen.105955 Chukwu NG. Determination and human
health risk assessment of polycyclic
aromatic hydrocarbons (PAHs) in
surface and ground waters from Ifite
Ogwari, Anambra state, Nigeria. International Journal of Environmental
Analytical Chemistry. 2022;22:2038587. DOI: 10.1080/03067319.2022.2038587 Chukwu NG. Determination and human
health risk assessment of polycyclic
aromatic hydrocarbons (PAHs) in
surface and ground waters from Ifite
Ogwari, Anambra state, Nigeria. International Journal of Environmental
Analytical Chemistry. 2022;22:2038587. DOI: 10.1080/03067319.2022.2038587 Environmental Sciences. 2012;3(3):
1194-1207 [34] Matsuo T, Kumazawa K, Ishii R,
Ishihara K, Hirara H. The Science of the
Rice Plant Physiology. Tokyo, Japan: Food
and Agriculture Research Centre; 1995 Environmental Sciences. 2012;3(3):
1194-1207 [29] Jha P, Barat S, Nayak CR. Fish
production, water quality, and
bacteriological parameters of koi carp
ponds under live-food and manure-
based management regimes. Zoological
Research. 2008;29(2):165-173 [29] Jha P, Barat S, Nayak CR. Fish
production, water quality, and
bacteriological parameters of koi carp
ponds under live-food and manure-
based management regimes. Zoological
Research. 2008;29(2):165-173 [36] Okechukwu VU, Omokpariola DO,
Onwukeme VI, Nweke EN,
Omokpariola PL. Pollution investigation
and risk assessment of polycyclic
aromatic hydrocarbons in soil and water
from selected dumpsite locations in
Rivers and Bayelsa state, Nigeria. Environmental Analysis Health and
Toxicology. 2021;36(4):e2021023. DOI: 10.5620/eaht.2021023 [30] Alao O, Arojojoye O, Ogunlaja O,
Famuyiwa A. Impact assessment of
brewery effluent on water quality in
Majawe, Ibadan, southwestern Nigeria. Resources. 2010;2(5):21-28 [31] Ojaniyi OF, Okoye PAC,
Omokpariola DO. Heavy metals analysis
and health risk assessment of three fish
species, surface water and sediment
samples in Ogbaru Axis of river Niger,
Anambra state, Nigeria. Asian Journal of
Applied Chemistry Research. 2021;9(1):
64-81. DOI: 10.9734/AJACR/2021/
v9i130205 [37] Oguzie FA, Okhagbuzo GA. Concentrations of heavy metals in
effluent discharges downstream of
Ikpoba river in Benin City, Nigeria. African Journal of Biotechnology. 2010;
9(3):319-325 [32] Omokpariola DO, Omokpariola PL. Health and exposure risk assessment of
heavy metals in rainwater samples from
selected locations in Rivers state,
Nigeria. In: Ramasami P editor. Vol. 2. Chemical Sciences in the Focus. 2021. pp. 16-23. ISBN 978-3-11-072659-6. DOI:
10.1515/9783110726145-002 [32] Omokpariola DO, Omokpariola PL. Health and exposure risk assessment of
heavy metals in rainwater samples from
selected locations in Rivers state,
Nigeria. In: Ramasami P editor. Vol. 2. Chemical Sciences in the Focus. 2021. pp. 16-23. ISBN 978-3-11-072659-6. DOI:
10.1515/9783110726145-002 [38] Anetor JI, Oleleye AFAA, SR. Molecular epidemiology: A better
approach for the early detection of
pathophysiologic response to
environmental toxicants and diseases. African Journal of Biomedical Research. 2003;6:113-118 [39] Omokpariola DO, Nduka JK,
Omokpariola PL, Omokpariola ECO. Ionic composition of rainwater from
different sampling surfaces across
selected locations in Rivers state,
Nigeria. World Science News. 2020;150:
132-147 [33] Imoobe TOT, Koye PIO. Assessment
of the impact of effluent from a soft
drink processing factory on the
physicochemical parameters of Eruvbi
stream Benin City, Nigeria. Bayero
Journal of Pure and Applied Sciences. 2010;4(1):126-134 [35] Okafor VN, Omokpariola DO,
Igbokwe EC, Theodore CM, [35] Okafor VN, Omokpariola DO,
Igbokwe EC, Theodore CM, 17
|
https://openalex.org/W4307427353
|
https://link.springer.com/content/pdf/10.1007/s10802-022-00968-4.pdf
|
English
| null |
Reciprocal Relations Between Conflicted Student-teacher Relationship and Children’s Behavior Problems: Within-person Analyses from Norway and the USA
|
Research on child and adolescent psychopathology
| 2,022
|
cc-by
| 10,391
|
Reciprocal Relations Between Conflicted Student-teacher Relationship
and Children’s Behavior Problems: Within-person Analyses from
Norway and the USA Silje Merethe Husby1,2 · Věra Skalická1 · Zhi Li3 · Jay Belsky1,4 · Lars Wichstrøm1,2 Accepted: 16 August 2022 / Published online: 27 October 2022
© The Author(s) 2022 Accepted: 16 August 2022 / Published online: 27 October 2022
© The Author(s) 2022 Research on Child and Adolescent Psychopathology (2023) 51:331–342
https://doi.org/10.1007/s10802-022-00968-4 Research on Child and Adolescent Psychopathology (2023) 51:331–342
https://doi.org/10.1007/s10802-022-00968-4 Abstract Current evidence suggests that conflicted student-teacher relationships may increase behavior problems in children and
vice-versa, but this may be due to confounding. We therefore analyzed their relation applying a within-person approach that
adjusts for all time-invariant confounding effects, involving samples from Norway (n = 964, 50.9% females) and the USA
(n = 1,150, 48.3% females) followed from age 4–12 years with similar measures. Increased parent-reported behavior prob
lems forecasted increased student-teacher conflict to a similar extent in both countries (β = 0.07, p = .010), whereas teacher-
reported behavior problems predicted increased student-teacher conflict more strongly in Norway (β = 0.14, p = .001) than
in the US (β = 0.08, p = .050). Increased teacher-child conflict also predicted increased parent-reported (β = 0.07, p = .010),
but not teacher-reported, behavior problems in both countries. Findings underscore the reciprocal relation between behav
ior problems and a conflictual student-teacher relationship. Keywords Behavior problems · Cross-national · Longitudinal · Random intercept · Student-teacher relationship ·
Within person Keywords Behavior problems · Cross-national · Longitudinal · Random intercept · Student-teacher relationship ·
Within-person Scholars contend that a good student-teacher relationship
may prevent mental health problems in children, whereas a
problematic relationship may increase the risk of develop
ing such problems (e.g., Silver et al., 2005). These claims are supported by observational research, both cross-sec
tional and longitudinal in design, and with particular refer
ence to student-teacher conflict and child behavior problems
(e.g., Pianta & Stuhlman 2004; Silver et al., 2005). There
are also theoretical reasons to expect evocative child effects,
and evidence from diverse samples indicates that this may
be the the case (Nurmi, 2012). In sum, existing prospective
studies converge in suggesting a reciprocal relation between
student-teacher conflict and behavior problems. If these
associations reflect student-teacher conflict being part of the
etiology of behavior problems, preventative measures and
treatment efforts targeting such conflicts should be devel
oped and evaluated for efficacy. However, if such findings
are an artifact of underlying confounding factors, such inter
ventions are unlikely to prove effective. We therefore test
whether prospective and reciprocal associations between
student-teacher conflict and children’s behavior problems
remain when all unobserved time-invariant confounding
effects (e.g., genetics, gender) are adjusted for, using a
within-person approach. Grants ES662241 and 238026, obtained from the Research Council
of Norway, and a grant from the Liaison Committee between Central
Norway RHA and NTNU partially funded this study. Abstract Grants ES662241 and 238026, obtained from the Research Council
of Norway, and a grant from the Liaison Committee between Central
Norway RHA and NTNU partially funded this study. Silje Merethe Husby
silje.husby@ntnu.no
Lars Wichstrøm
lars.wichstrom@ntnu.no 1
Department of Psychology, Norwegian University of Science
and Technology, Trondheim, Norway 2
Department of Child and Adolescent Psychiatry, St. Olav’s
Hospital, Trondheim, Norway 3
School of Psychological and Cognitive Sciences and Beijing
Key Laboratory of Behavior and Mental Health, Peking
University, Beijing, China 4
Department of Human Ecology, University of California,
Davis, USA 1 1 3 Research on Child and Adolescent Psychopathology (2023) 51:331–342 332 Why Teachers Matter for Students and
Students Matter for Teachers been inflated in prior research. Longitudinal studies have
identified a range of predictors of behavioral problems, no
doubt due to the fact that the etiology of disruptive behav
ior problems is multifaceted. These include psychological
and biological characteristics of the child, such as tempera
ment (e.g., negative emotionality (Wichstrøm et al., 2018);
effortful control (Atherton et al., 2019; Wichstrøm et al.,
2018); inattention (Bellanti et al., 2000); language disorders
(Menting et al., 2011); executive functions (Hobson et al.,
2011); physiology (e.g., heart-rate variability and skin con
ductance (Fanti et al., 2019); brain abnormalities (Thijssen
et al., 2015); and genetics (Loeber et al., 2009). Also influ
ential are features of the family, including parenting (Loe
ber et al., 2009), family structure (Rowe et al., 2002), and
socioeconomic circumstances (Bradley & Corwyn, 2002;
Hill, 2002). As children grow older, peer relationships also
become a source of influence via processes of, for example,
rejection and association with deviant peers (Hill, 2002). Factors related to pregnancy have also been tied to the
development of behavior problems, perhaps most especially
prenatal exposure to drugs, alcohol or tobacco (D’Onofrio
et al., 2007), as well as maternal stress (O’Connor et al.,
2002). Just as notably, the interactions among any of the
effects of these multiple determinants likely contribute to
the etiology of child externalizing problems, thus helping to
explain why some exposed children develop behavior prob
lems whereas other do not (Loeber et al., 2009). In sum, the
myriad of identified predictors of behavior problems out
side of the school suggests that conflict with the teacher is
unlikely to prove decisive for a child to develop behavior
problems. As children spend a substantial amount of their weekday
hours in school, the school context, including their rela
tionships with teachers, is presumed to contribute signifi
cantly to their development (Baker et al., 2008; O’Connor
et al., 2011). Indeed, these relationships may be particularly
important for children with externalizing behavior prob
lems, as they may be in especial need for close and support
ive relationships with sensitive adults in order to develop
adaptive emotional and social skills and competences (e.g.,
Baker et al., 2008; Sabol & Pianta, 2012; Silver et al., 2005). Unfortunately, children displaying externalizing behavior
are more likely than others to experience harsh and critical
interactions with teachers, and be subject to teaching that is
less warm, nurturing and responsive (Hughes et al., 1999). Unobserved Confounding Collectively, the observations just noted also raise the issue
of unobserved confounding when seeking to illuminate
reciprocal effects linking student-teacher relationships and
externalizing problems. To illustrate, high levels of negative
emotionality and limited effortful control have been found
to predict behavior problems (Wichstrøm et al., 2018), as
well as undermine student-teacher relationships–beyond
what may be caused by prior, and even covaried, behav
ior problems, in efforts to predict change in problems over
time (Rudasill et al., 2010). Problematical parenting is
another potential source of confounding, given its links to
problem behavior (Miner & Clarke-Stewart, 2008) and dif
ficult teacher-child relationships, one that is not entirely dis
counted by controlling for prior behavior problems (Hygen et
al., 2017). From a demographic stance, low socio-economic
status is associated with more behavior problems (Bradley
& Corwyn, 2002) as well as greater student-teacher conflict There is also the possibility that externalizing behavior
and student-teacher conflict may mutually reinforce each
other over time, consistent with a transactional model
(Mejia & Hoglund, 2016). Support for such a reciprocal
relation can be found in studies chronicling externalizing
behavior and conflict mutually predicting each other over
time (Roorda & Koomen, 2021; Roorda et al., 2014; Ska
licka, Belsky, et al., 2015; Skalicka, Stenseng, et al., 2015). Why Teachers Matter for Students and
Students Matter for Teachers Disruptive behavior creates a disturbance in class set
tings, making teacher interventions necessary (Birch &
Ladd, 1998). As with coercive cycles of parent-child inter
action, some teachers may respond to problematic student
behavior with ineffective, inconsistent, and harsh classroom
management tactics (Hughes et al., 1999), thereby engen
dering a conflictual student-teacher relationship. Consistent
with this claim is evidence indicating that externalizing
behavior at one point is predictive of a more conflictual rela
tionship with teachers later on (e.g., Birch & Ladd 1998;
Jerome et al., 2009). This has been conceptualized as a
child-driven model (Mejia & Hoglund, 2016).l A relationship characterized by high conflict may also
promote later disruptive behavior, reflected in findings link
ing student-teacher conflict with later externalizing prob
lems (Pianta & Stuhlman, 2004; Silver et al., 2005). In
this case, the relationship between behavior problems and
conflict is viewed as a relationship-driven model (Mejia &
Hoglund, 2016). 1 3 Why Teachers and Students May Not Matter
for Each Other Despite the evidence and causal processes just considered,
it remains the case that teachers’ impact on the development
of children’s behavior problems may have, in some respects, 1 3 Research on Child and Adolescent Psychopathology (2023) 51:331–342 333 (Rudasill et al., 2010). Additionally, genetically informed
research indicates that aggressive behavior is substantially
heritable (Brendgen et al., 2011; Rhee & Waldman, 2002),
quite possibly contributing to a conflicted student-teacher
relationship (Brendgen et al., 2011). Although a small-scale
twin-study (n = 217) failed to find evidence that common
genes explained both conflicted student-teacher relation
ships and behavior problems (Brendgen et al., 2011), the
fact that this is the only genetically informed inquiry
addressing this issue raises the possibility that both prob
lem behavior and conflictual student-teacher relationships
may be influenced by the same genes. Although investiga
tors have made considerable strides towards more precise
estimates of the relations between student-teacher conflict
and behavior problems by controlling for many relevant
confounders (Sabol & Pianta, 2012), a range of factors not
adjusted for can still affect any detected associations. (Rudasill et al., 2010). Additionally, genetically informed
research indicates that aggressive behavior is substantially
heritable (Brendgen et al., 2011; Rhee & Waldman, 2002),
quite possibly contributing to a conflicted student-teacher
relationship (Brendgen et al., 2011). Although a small-scale
twin-study (n = 217) failed to find evidence that common
genes explained both conflicted student-teacher relation
ships and behavior problems (Brendgen et al., 2011), the
fact that this is the only genetically informed inquiry
addressing this issue raises the possibility that both prob
lem behavior and conflictual student-teacher relationships
may be influenced by the same genes. Although investiga
tors have made considerable strides towards more precise
estimates of the relations between student-teacher conflict
and behavior problems by controlling for many relevant
confounders (Sabol & Pianta, 2012), a range of factors not
adjusted for can still affect any detected associations. In addition to such methodological advance—and given
concerns about the replication of findings (Aarts & al.,
2015)—we utilize data from two large community stud
ies, conducted in two countries with significant differences
in educational systems and rates of externalizing behavior
(Heiervang et al., 2007), Norway and the USA, to investi
gate reciprocal relations between problematic student behav
ior and conflictual student-teacher relationships. Why Teachers and Students May Not Matter
for Each Other Based on
previous findings, we hypothesize that increased student-
teacher conflict at one wave will forecast increased external
izing problems at the next wave, and vice-versa, when using
a traditional autoregressive cross-lag approach. As shown,
we believe that there are both theoretical and methodologi
cal reasons to believe that these associations may be smaller
in magnitude at the within-person level—i.e. change in one
person predicting later change in that person—than those
obtained from traditional cross-lagged models which uti
lize both within and between-person information—i.e., a
persons’ level relative to others predicting ones’ future level
relative to others. We therefore remain open to the ques
tion of whether these predictions hold when all unmeasured
time-invariant confounding effects at the between-person
level are adjusted for. Finally, we test whether the identified
paths differ by country. To be appreciated is that current evidence linking stu
dent-teacher conflict and child externalizing problems
stems from observational research applying regression-
type approaches, including cross-lagged panel models. These approaches produce results which are a mixture of
between- and within-person variance. The behavior of stu
dents or teachers unknown to a specific child–a between-
person effect–cannot be involved in the etiology of behavior
problems or student-teacher conflicts of the particular child. Rather, causality can only be inferred from within-person
results. Several recent statistical approaches are able to tease
apart between-person effects from within-person sources of
variance (Usami et al., 2019) and by the same token adjust
for all unmeasured time-invariant confounding effects.f Participants and Procedure The Trondheim Early Secure Study (TESS) consists of
members of the 2003 and 2004 birth cohorts in Trondheim,
Norway (N = 3,456) (Steinsbekk & Wichstrøm, 2018). A let
ter of invitation along with the Strengths and Difficulties
Questionnaire (SDQ) 4–16 version (Goodman et al., 2000)
was sent to their homes. The SDQ is a brief and valid screen
for emotional, behavioral and social problems in the general
population (Sveen et al., 2013). Parents were asked to bring
the completed SDQ to their child’s scheduled routine 4-year
health check-up at their local well child clinic (n = 3,358
attended). Here, parents were informed about TESS using
procedures approved by the Regional Committee for Medi
cal and Health Research Ethics Mid-Norway, and written
consent to participate was obtained. Parents who were not
sufficiently proficient in Norwegian to complete the SDQ
screening were excluded (n = 176). Of those who were
asked to participate (n = 3,016), 82.2% consented. Despite differences between methods, they converge
in doing this by including random intercept latent factors
which account for the respective levels of the constructs in
question (e.g., behavior problems and the student-teacher
relationship) during the study period. This random inter
cept then captures what causes one child’s overall levels of
the constructs (i.e., a time-invariant effect), and these dif
ferences in levels between children are adjusted for in the
analyses. Although results from within-person analysis of
student-teacher relationships and behavior problems do not
warrant the strongest claims of causality, as time-varying
confounding effects can still influence the results (e.g.,
changes in maternal depression), they can certainly aid in
moving observational science closer to providing causal
insight. For this reason, we have drawn upon the possibili
ties within the Random Intercept Cross-lagged Panel Model
(RI-CLPM; Hamaker et al., 2015). It affords illumination of
within-person effects, measuring each individual’s change
from each person’s own average level, thereby moving the
study of reciprocal effects of student-teacher relationships
and child externalizing problems closer to a causal analysis. To increase statistical power, children with or likely to
develop emotional or behavioral problems were overs
ampled by dividing children into four strata according to
their SDQ scores (cut-offs: 0–4, 5–8, 9–11 and 12–40). Measures The Student-Teacher Relationship Scale Short Form
(STRS-SF) is a short form of the original STRS, a fre
quently used and validated measure that gauges the teacher-
perceived relationship quality with individual children
(Pianta, 2001). The STRS-SF consists of 15 items and two
factors, closeness and conflict, and has been found to have
good psychometric properties in differing cultural contexts
(Drugli & Hjemdal, 2013; Tsigilis & Gregoriadis, 2008). In
both samples we made use of the 7-item conflict scale (scale
range: 7–35) that measures the degree to which a teacher
feels that his or her relationship with the student in question
is characterized by negativity (Tsigilis & Gregoriadis, 2008)
(α = 0.81-0.89). The items are rated on a 5-point scale where
higher value represents more conflict. The Student-Teacher Relationship Scale Short Form
(STRS-SF) is a short form of the original STRS, a fre
quently used and validated measure that gauges the teacher-
perceived relationship quality with individual children
(Pianta, 2001). The STRS-SF consists of 15 items and two
factors, closeness and conflict, and has been found to have
good psychometric properties in differing cultural contexts
(Drugli & Hjemdal, 2013; Tsigilis & Gregoriadis, 2008). In
both samples we made use of the 7-item conflict scale (scale
range: 7–35) that measures the degree to which a teacher
feels that his or her relationship with the student in question
is characterized by negativity (Tsigilis & Gregoriadis, 2008)
(α = 0.81-0.89). The items are rated on a 5-point scale where
higher value represents more conflict. The mean age in kindergarten was 5.6 years (SD = 0.30). Retesting occurred in first grade (T2): Mage = 7.0 years,
SD = 0.30; third grade (T3): Mage = 9.0, SD = 0.31; fifth
grade (T4): Mage = 10.7, SD = 0.33 and sixth grade (T5) Mage
= 11.9, SD = 0.35. A total of 1,150 cases comprised the ana
lytical sample (48.3% female). A total of 77.0% of the moth
ers were married and mothers had on average 14.2 years
of education, 80.0% of the children were white and 12.9%
were African American. Family income-to-needs was cal
culated by dividing the family’s gross annual income by
the poverty threshold for each family. The average income-
to-needs ratio was 3.59 and 16.9% of the families had a
score < 1 (below the poverty threshold). Participants and Procedure Retesting occurred at 6 years (T2): Mage = 6.7 years,
SD = 0.25; 8 years (T3): Mage = 8.8, SD = 0.24; and 10 years
(T4): Mage = 10.5 years, SD = 0.16, and 12 years (T5) Mage
= 12.5, SD = 0.67. Overall, 964 participants had information
from at least one wave of data collection and comprised the
analytical sample. 1 3 Participants and Procedure Using a random number generator, drawing probabilities 1 3 334 Research on Child and Adolescent Psychopathology (2023) 51:331–342 T5 was predicted by teacher-rated problem behavior at T3
and T4 (OR = 1.06, CI = 1.00-1.11 and OR = 1.06, CI = 1.00-
1.12, respectively). Response rates among teachers were
83.9–98.1% at T1 through T5. to participate increased with increasing SDQ scores. The
drawing probability increased with increasing SDQ scores
of 0.37, 0.48, 0.70, and 0.89 in the four strata, respectively. Of the 1,250 children randomly drawn, 995 were enrolled
at T1 (50.9% female). Most parents were either married
(56.3%) or had been cohabitating for > 6 months (32.6%). Mothers were predominantly of Norwegian (93.0%) or
Western (2.7%) origin. In all, 58.3% had at least a bach
elor’s degree whereas 6.7% had not completed senior high
school (13 years of education). Drop-out rate after consent
did not differ according to SDQ score [(t = 0.17, df = 1, p
=. 86) or gender (χ² = 1.02, df = 1, p = .31]. The mean age
at the first assessment was 4.7 years (SD = 0.30, 49.9%
males). Retesting occurred at 6 years (T2): Mage = 6.7 years,
SD = 0.25; 8 years (T3): Mage = 8.8, SD = 0.24; and 10 years
(T4): Mage = 10.5 years, SD = 0.16, and 12 years (T5) Mage
= 12.5, SD = 0.67. Overall, 964 participants had information
from at least one wave of data collection and comprised the
analytical sample. to participate increased with increasing SDQ scores. The
drawing probability increased with increasing SDQ scores
of 0.37, 0.48, 0.70, and 0.89 in the four strata, respectively. Of the 1,250 children randomly drawn, 995 were enrolled
at T1 (50.9% female). Most parents were either married
(56.3%) or had been cohabitating for > 6 months (32.6%). Mothers were predominantly of Norwegian (93.0%) or
Western (2.7%) origin. In all, 58.3% had at least a bach
elor’s degree whereas 6.7% had not completed senior high
school (13 years of education). Drop-out rate after consent
did not differ according to SDQ score [(t = 0.17, df = 1, p
=. 86) or gender (χ² = 1.02, df = 1, p = .31]. The mean age
at the first assessment was 4.7 years (SD = 0.30, 49.9%
males). Measures The Child Behavior Checklist (CBCL) and The Teacher
Report Form (TRF). Behavior problems were reported by
parents and teachers on the Externalizing Problems scale of
the CBCL and the TRF (Achenbach & Rescorla, 2000). The
CBCL is a standardized questionnaire designed to be filled
out by parents to describe children’s behavioral and emo
tional problems. The CBCL 4–18 version was used at all
time points in the US sample (Achenbach, 1991). In Norway,
the 1.5–5 year version was applied at T1, whereas the 6–18
year version was administered at T2 through T5 (Achen
bach & Rescorla, 2000, 2001). Norwegian scores were har
monized with the version applied in the USA by summing
only the items matching the earlier version (i.e., 25 items at
T1—scale range 0–50, 34 items at T2 and later—scale range
0–68). Correlations between the original version scores and
the newly created scores were 0.94 at T1 and 0.93 at later
time points (α = 0.83-0.88). Day-care centers and schools
were requested to select the teacher who knew the child
best. In the US, the 5–18 version (Achenbach, 1991) was
used. In Norway, the 1.5-5 year version was administered
at T1, and the 6–18 year version at T2-T5 (Achenbach &
Rescorla, 2000, 2001). Following the procedure described
above, the harmonized scores evinced high correlations
with original scores (r = .92-0.97; α = 0.92-0.94). Attrition analyses showed that parent-rated behav
ior problems at T1 predicted dropout at T3 (odds ratio
(OR) = 1.06, 95% confidence interval (CI) = 1.02–1.11). Teacher-rated problem behavior at T1 and T2 predicted
dropout at T5 (OR = 1.05, CI = 1.00-1.09, and OR = 1.05,
CI = 1.01–1.09, respectively). Response rates among teach
ers were 91.8-99.1% at T1 through T5. NICHD Study of Early Child Care and Youth Devel
opment (NICHD SECCYD) consists of participants
recruited from 24 hospitals from 10 data locations in the
USA, during the first 11 months of 1991 (NICHD Early
Child Care Research Network, 2005) Participants were
selected according to a random sampling plan designed to
ensure that the sample reflected the demographic diversity
of each site’s catchment area. In all, 8,986 women who gave
birth during a selected 24 h interval were screened for eligi
bility. From those, 1,364 families of healthy newborns were
included via a home interview one month after birth. Analysis Plan problem behavior; a cross-lagged effect). A conceptual
model is presented in the Online material (Figure S1). We
used the scaled chi-square difference (Satorra & Bentler,
2001) to test (i) whether cross-lagged paths were equal over
time in each country and (ii) whether there were differences
between the countries in a multigroup comparison apply
ing procedures described by Mulder & Hamaker (2020). Because multi-group testing of path equality is based on
comparisons of unstandardized path coefficients, we report
unstandardized estimates. Because standardized estimates
cannot be constrained to be equal, we report mean values of
the respective standardized path coefficients, to enable com
parisons with other studies. Even though the standardized
estimates will be specific to this sample, we follow general
guidelines to interpret effect sizes in RI-CLPM, considering
0.03, 0.07, and 0.12 to represent small, medium and large
effects, respectively (Orth et al., 2022). Although the RI-
CLPM cannot illuminate which unmeasured time-invariant
factors prove influential, it is possible to stratify analyses
according to measured time-invariant variables. Because
behavioral problems as well as student-teacher conflict are
more prevalent in boys than girls, we performed gender spe
cific analyses and compared the cross-lagged paths with the
procedure just described. Potential confounding effects can be divided into time-vary
ing and time-invariant ones. The former change their impact
over the time-period under observation (e.g., schooling, peer
relationships), whereas the latter do not (e.g., stable effects
of genetics, gender) (Wichstrøm et al., 2018). To distinguish
within and between person effects we applied structural
equation modeling (SEM) in Mplus 7.4, employing a robust
maximum likelihood estimator which yields robust standard
errors. As attrition analyses suggested that data were miss
ing at random (MAR), missingness was handled with a full
information maximum likelihood (FIML) procedure. Due to
the aforementioned stratification of the Norwegian sample,
its data were weighted with a factor corresponding to the
number of children in the stratum divided by the number of
participating children in that stratum. Analyses were conducted in two steps. First, we examined
reciprocal relations between student-teacher conflict and
child behavior problems by means of traditional autoregres
sive cross-lagged analysis in which the level of an earlier-
measured predictor vis-à-vis others (‘rank-order’) is used to
forecast the level of a later-measured outcome (‘rank order’,
without regard for individual change). This will allow us
to simultaneously test child-driven, relationship-driven
and reciprocal models. Measures Dropout at T3 was predicted by teacher-rated problem
behavior at T1 (OR = 1.04, CI = 1.00-1.09), and dropout at 1 3 335 Research on Child and Adolescent Psychopathology (2023) 51:331–342 Analysis Plan Because the magnitude of relations
between teacher-rated behavior problems and teacher-rated
student-teacher conflict might be inflated by common rater
bias, two separate autoregressive cross-lagged models were
run, one for teacher and one for parent ratings of behav
ior problems. Because short-term issues might affect par
ent- and teacher ratings of children (e.g., mood-of-the-day
effects or recent conflicts) that are not likely to influence
the rating years later, we expected sleeper effects in stabil
ity, which pertains to a delayed change in a dependent vari
able, bypassing intermediate time points (Cook et al., 1979). All measures were therefore auto-regressed on all preced
ing measures. Error terms of problem behavior and conflict
were allowed to correlate at each time point. The scaled chi-
square difference test (Satorra & Bentler, 2001) was applied
to test equality of cross-lagged paths, and to test equality
between countries in a multigroup analysis. In Norway, the children came from the same city, and thus
some belonged to the same school class, and whether mul
tilevel analyses should be performed or not was therefore
considered. There are about 250 elementary school classes
in Trondheim. Accordingly, the design effect in grades 1–3
varied between 1.2 and 1.6, which is well below the recom
mended cut-off of 2.0 for when multilevel analyses should
be conducted. Results Higher scores on student-teacher conflict and behavior
problems were observed in the USA than in Norway (Table
S1, available online), and variance in all three measures was
also higher in the USA (Table S2). Even so, behavior prob
lems and student-teacher conflict were both concurrently
and prospectively positively correlated in both countries,
meaning that more conflict was associated with more prob
lems, with no apparent systematic or major differences in
magnitude.i Second, to control for all unmeasured time-invariant
effects we employed RI-CLPM for Norway and USA,
respectively. This model extends the autoregressive cross-
lagged model by separating variance into a stable between-
person part (consisting of two latent random intercepts
loading on behavior problems and conflict, respectively)
and a within-person part; in so doing, it estimates changes
from one’s own mean level in a variable (e.g., conflict) as
a function of changes in that variable at the previous mea
surement point (autoregression) and in the predictor (e.g., Cross-lagged Panel Models. We first ran a pair of CLPM,
one for teacher-rated behavior problems and one for parent-
rated behavior problems in each country, resulting in four
models altogether. Then, the cross-lagged paths in the two
countries were compared. Based on the Sattora-Bentler test,
all cross-lagged paths between conflict and problem behav
ior in the traditional autoregressive cross-lagged models 1 3 Research on Child and Adolescent Psychopathology (2023) 51:331–342 336 Table 1 Model fit of the random intercept cross lagged panel models and χ² difference test
Countries
Model Fits
χ² - difference test
across time
χ² - difference
test
across
countries
χ²
RMSEA
SRMR
CFI
TLI
CBCL Norway
47.93 (27), p = .008
0.028
0.041
0.982
0.970
5.78 (6), p = .45
CBCL USA
48.10 (27), p = .008
0.026
0.034
0.993
0.989
9.49 (6), p = .15
CBCL Norway and USA
60.16 (27), p < .001
0.024
0.036
0.992
0.987
0.65 (2), p = .72
TRF Norway
56.85 (27), p < .001
0.034
0.049
0.981
0.969
8.49 (6), p = .20
TRF USA
50.74 (27), p = .004
0.028
0.051
0.993
0.989
4.08 (6), p = .67
TRF Norway and USA
108.52 (54), p < .001
0.031
0.050
0.989
0.981
8.55 (2), p = .014
Note: RMSEA = Root mean square error of approximation, SRMR = Standardized root mean residual, CFI = Comparative fit index, TLI = Tucker-
Lewis index, CBCL = Child behavior checklist, TRF = Teacher report form Fig. Results 1 RI-CLPM showing within-person cross-lagged paths between
behavior problems as measured by the CBCL and student-teacher conflict
Note: CBCL = Child Behavior Checklist; CO = Student-teacher
conflict; Unstandardized path coefficients and p-values, Norway first,
USA second. Results from multigroup analyses, where cross-lagged
paths were held equal across time and across countries Fig. 1 RI-CLPM showing within-person cross-lagged paths between
behavior problems as measured by the CBCL and student-teacher conflict
Note: CBCL = Child Behavior Checklist; CO = Student-teacher conflict; Unstandardized path coefficients and p-values, Norway first,
USA second. Results from multigroup analyses, where cross-lagged
paths were held equal across time and across countries confounding effects at the between-person level, RI-CLPM-
analyses were employed. First, we ran separate analyses for
teacher-rated and parent-rated behavior problems for each
country, respectively. Constraining the cross-lagged paths to
be equal over time did not worsen the model fit (Table 1),
and all such constrained models in each country proved to
evince good fit (Table 1). At the between-person level, ran
dom intercepts of conflict and problem behavior were mod
erately (CBCL) to highly (TRF) correlated and consistent
in direction with associations described in the preceding
paragraph (Norway: CBCL: r = .45 (p < .001), TRF: r = .84
(p < .001); USA: CBCL: r = .51 (p < .001), TRF: r = .97
(p < .001)). At the next step, the cross-lagged paths could be
constrained to be equal across countries without deteriorat
ing model fit in the parent-reported model, while they could
not be in the model involving teacher-reported behavior in
which they proved different (Table 1). were found to be equal across all time points, and also equal
across both countries for both parent-reported and teacher-
reported behavior problems (Table S3). Thus, they indi
cated that greater student-teacher conflict at an immediately
preceding measurement occasion predicted more external
izing problems, irrespective of whether rated by teachers
or parents, by the time of the next measurement occasion;
and, reciprocally, that greater externalizing problems at an
earlier time of measurement, irrespective of whether rated
by teachers or parents, similarly predicted higher teacher-
student conflict at the next measurement occasion (Supple
mentary figures S2 and S3). In sum, a transactional model
was supported in the CLPM analyses. 1 3 Random Intercept Cross-lagged Panel
Models Relationship-driven Model: Student-teacher Con
flict Predicting Behavior Problems. Prospective cross-
lagged within-person results (Fig. 1) revealed that increased
student-teacher conflict predicted increased parent-rated Initial Model Testing: Constraining Paths Across Devel
opment and Countries. To test whether predictions con
veyed in the CLPM could be attributed to time-invariant 1 3 Research on Child and Adolescent Psychopathology (2023) 51:331–342 337 Fig. 2 RI-CLPM showing within-person cross-lagged paths between behavior problems as measured by the TRF and student-teacher conflict
Note: TRF = Teacher Report Form; CO = Student-teacher conflict. Unstandardized path coefficients and p-values, Norway first, USA second Fig. 2 RI-CLPM showing within-person cross-lagged paths between behavior problems as measured by the TRF and student-teacher conflict
Note: TRF = Teacher Report Form; CO = Student-teacher conflict. Unstandardized path coefficients and p-values, Norway first, USA second student-teacher conflict at age 8, Δχ2 = 8.66 (1), p = .003. However, it should be acknowledged that these two signifi
cant results emerged after testing 32 paths. Adjusting for the
false discovery rate (Benjamini & Hochberg, 1995), these
p-values were rendered insignificant, p = .63 and p = .096
respectively. In effect, as the identified cross-lagged effects
were the same in girls and boys, gender was not among the
time-invariant variables captured by the random intercepts. behavior problems (standardized β = 0.06), and the path
coefficients did not differ between countries (Table 1). However, increased student-teacher conflict did not forecast
increased teacher-rated behavior problems in either country
(Fig. 2). Child-driven Model: Behavior Problems Predicting
Student-teacher Conflict. Cross-lagged paths involving
parent-rated behavior problems predicting later conflict did
not differ between countries (Table 1), and a medium effect
of increased behavior problems on later increased conflict
was identified (β = 0.07). In contrast, multigroup analy
sis of the model involving teacher-rated behavior prob
lems revealed that the cross-lagged paths from increased
behavior problems to later increased conflict were stronger
in Norway (β = 0.14) compared to the estimates in the US
(β = 0.08; Table 1; Fig. 2). Of note, path coefficients were
typically smaller than in the ordinary cross-lagged panel
models and medium in magnitude. For example, as can be
seen in Fig. 1, when the student-teacher conflict increased
with 1 point on the STRS above its average for that relation
ship, behavior problems increased with 0.05 points on the
CBCL scale. Random Intercept Cross-lagged Panel
Models One notable exception to these medium effects
was the prediction of increased student-teacher conflict
from increased teacher-rated behavior problems in Norway. Discussion Potential reasons for why increased teacher-rated conflict
does forecast increased behavior problems as seen by par
ents, but not teachers, remain unclear. previous findings (Jerome et al., 2009; Mejia & Hoglund,
2016; Pakarinen et al., 2018; Roorda & Koomen, 2021;
Roorda et al., 2014), and in sum a transaction model was
hence supported irrespective of whether parents or teachers
rated the behavior problems. previous findings (Jerome et al., 2009; Mejia & Hoglund,
2016; Pakarinen et al., 2018; Roorda & Koomen, 2021;
Roorda et al., 2014), and in sum a transaction model was
hence supported irrespective of whether parents or teachers
rated the behavior problems. In the within-person RI-CLPM analysis, that evaluates
whether and how change in the predictor forecasts change
in the outcome, the support for a relationship-driven model
was maintained—increased student-teacher conflict still
predicted increased parent-rated behavior problems in both
countries when parents assessed the behavior problems. However, when teachers assessed the behavior problems, no
effect was seen in either country, perhaps because teachers
see children in a more limited setting than parents do, for
less time, and only during school hours. As regards a child-
driven model, we detected a medium effect of increased
parent-rated behavior problems on later increased conflict
which was similar in both countries. Such a child-driven
effect was also found for teacher-rated behavior problems,
and this effect was slightly stronger in Norway than in
the US. In sum, a transactional model was supported with
respect to parent-rated behavior problems, whereas a child-
driven model was supported for teacher-rated behavior
problems. Notably, coefficients obtained in the RI-CLPM
were generally smaller than in the traditional cross-lagged
panel model, the exception being the path between increased
teacher-rated behavior problems on later increased student-
teacher conflict in Norway. These findings imply that any
suggestive causal inferences from traditional approaches
risk being overstated and may also be context specific. In
the following we advance some possible explanations for
the obtained pattern of results. One possible explanation could be that children experi
encing conflict in the student-teacher relationship respond
with an increase in problematic behavior at home, in a sort
of spillover effect. Previous research indicates that children’s
negative experiences at school predict more aversive interac
tions with parents (Flook & Fuligni, 2008), and higher school
stress predicts more aversive family interactions even three
years later (Flook & Fuligni, 2008). Discussion Evidence from observational studies suggests that student-
teacher conflict contributes to externalizing behavior prob
lems in children and that the reverse is true as well. Yet
it remains the case, even when covariates are included in
prediction models and prior measurements of the outcome
are statistically controlled, that substantial threats to causal
inference remain. For this reason, we sought not only to
discount time-invariant confounding effects, but also to
compare results when these are and are not taken into con
sideration. The fact that we were not positioned to control
for all unmeasured time-varying confounding effects limits,
of course, any strong causal inferences that can be drawn
from this work. Reciprocal Model. Taken together, the RI-CLPM analy
ses supported a transactional model with respect to parent
rated behavior problems. However, the lack of support for
a relationship-driven model when teachers rated behav
ior problems, prevented support for a transactional model
involving teacher ratings of behavior problems.if In the traditional cross-lagged analysis, we found sup
port for a relationship-driven model—more student-teacher
conflict at an earlier measurement occasion predicted later
behavior problems, as rated by both parents and teachers,
in both countries, in line with previous findings (Pianta &
Stuhlman, 2004; Roorda & Koomen, 2021; Roorda et al.,
2014; Silver et al., 2005). Conversely, a child-driven model
was also supported—more behavior problems as rated by
both parents and teachers at an earlier measurement occa
sion, in both countries, predicted more student-teacher con
flict at the next measurement occasion. This also aligns with Gender-specific analyses revealed no differences in
magnitudes, with two exceptions. In Norway, increased
student-teacher conflict at age 4 predicted more parent
rated behavioral problems at age 6 to a stronger degree in
boys than in girls, Δχ2 = 4.05 (1), p = .04, and increased par
ent rated behavior problems at age 6 predicted increased 1 3 338 Research on Child and Adolescent Psychopathology (2023) 51:331–342 In contrast to CLPM results, the effect of student-teacher
conflict on teacher-rated behavior problems were rendered
insignificant in the RI-CLPM—in both countries. This
accords with a view that a seeming effect of student-teacher
conflict on behavior problems is due to unmeasured time-
invariant confounding. Similar to CLPM findings, however,
an effect of student-teacher relationship on parent-rated
behavior problems was retained in the RI-CLPM analysis. Discussion Thus, it is conceivable
that increased student-teacher conflict at school may play out
as an increase in externalizing behavior at home. Moreover,
parents and teachers usually communicate about the student
and their behavior and functioning in school, for example in
parent – teacher meetings; and it is possible that should the
teacher convey a conflictual or problematic relationship with
the child, this may influence parents’ overall impression of
their child’s behavior, as a kind of negative halo-effect. Admittedly, there is no ready explanation for why these
effects do not emerge as behavior problems at school. On a
methodological note, although the teacher-rated effect fell
short of being statistically significant, the effect was almost
identical in magnitude to the parent-rated one. Therefore,
caution is called for before breathing too much meaning into
the parent versus teacher difference. A Relationship-driven Model This report is the first of its kind analyzing data from a
large and diverse population, encompassing children, par
ents and teachers from two different countries with differing
school-systems and differing rates of behavior problems. Methodologically, this may have better situated us to pro
vide accurate estimates of the relations between student-
teacher conflict and behavior problems. In sum, the findings
suggest that previously reported effects of student-teacher
conflict on later behavior problems appear to have been
inflated due to failure to take into account all time-invariant
confounding effects. Regardless of whether effects turned
out statistically significant or not, the effects were medium. Even so, these effects emerged at each time point, so effects
may accumulate across development. Moreover, the effects
appeared at the population level and even medium, aver
aged effects may prove important for a subset of children. Such moderational effects should be addressed in prospec
tive studies given ever-increasing evidence that children Although our traditional CLPM results concurred with those
of many studies chronicling a predictive effect of student-
teacher conflict on later behavior problems as rated by teach
ers, the present effects were not large, and smaller than many
of the ones previously reported. However, these larger effects
generally stem from smaller sized studies (Birch & Ladd,
1998; Mejia & Hoglund, 2016), whereas studies with sample
sizes approaching the ones involved here typically report
smaller estimates, comparable to the ones we found (Pianta
& Stuhlman, 2004; Roorda & Koomen, 2021). Smaller sam
ple sizes result in larger confidence intervals, implying more
uncertainty around the precision of their estimates. With its
combination of two large samples from two different coun
tries, the present study has, to the best of our knowledge,
the largest and most diverse sample to date, and the medium
CLPM estimates therefore line up with previous trends. 1 3 339 Research on Child and Adolescent Psychopathology (2023) 51:331–342 is exposed to several teachers, so that the relationship with
a specific teacher becomes less important. But contrary
to such an analysis, the concurrent correlation between a
negative student-teacher relationship and children’s exter
nalizing problems has been found to be somewhat stronger
in the upper primary grades than in kindergarten and the
lower primary grades (Lei et al., 2016). Such correlational
evidence does not afford much leverage for drawing con
clusions about developmental trends in the importance of
teachers to students’ externalizing behavior. A Child-driven Model An effect of teacher-rated behavior problems on conflict was
retained in the RI-CLPM analyses in both countries, being
stronger in Norway than in the US. In Norway, students are
typically taught by the same teacher from grades 1 to 4 and
from grades 5 to 7, making for much greater continuity in
the student-teacher relationship than in the US. Hence, there
is time to detect a prospective build-up of conflicts in a spe
cific student-teacher relationship when behavior problems
increase. Such a build-up may be disrupted in the US by the
end of the year, so that—to the extent that previous classes
or teachers’ do not forewarn—students and teachers may
start with a clean slate each year.if In the RI-CLPM, we also detected a reduction in esti
mates of prospective relations relative to the traditional
cross-lagged models. Once again, this would seem to be
the result of controlling for time invariant between-person
effects from the CLPM estimates so that only actual within-
person processes are estimated. Of course, we were not
positioned to identify these confounding factors, but there is
no shortage of influential suspects at the level of the child,
such as genetics (Brendgen et al., 2011), attention problems
(Bellanti et al., 2000), temperamental traits (Valiente et al.,
2003) and personality traits (Zee et al., 2013); the level of
the teacher, such as teacher stress (Yoon, 2002), and class
room management strategies (Korpershoek et al., 2016); or
other contextual factors, such as parenting practices (Hygen
et al., 2017) and low socio-economic status (Bradley & Cor
wyn, 2002). This is a task awaiting future research. That said, we did find evidence for a predictive effect
of change in teacher-rated behavior problems on change in
teacher-student conflict in Norway even at those grade-based
transitions when teachers change (i.e., from day-care to 1st
grade, from elementary to middle school). This is consistent
with Brendgen et al.’s (2006) findings that the probability of
experiencing teacher verbal abuse proved highly stable even
when teachers changed from one year to the next. One pos
sible explanation advanced by Brendgen et al. is that teach
ers often talk to each other during staff-meetings—and thus
that some students develop reputations as troublemakers,
deservedly or not. This might help to explain why results
proved different in the USA where teacher-teacher commu
nication practices seem likely to be different. A Relationship-driven Model The present
prospective, within-person associations, however, do pro
vide some support for continued importance of the student-
teacher relationship at least from preschool age through
middle childhood. vary in their susceptibility to environmental effects (Belsky
& Pluess, 2009). Strengths and Limitations In Norway it is also commonplace for teachers to hold
transitional meetings or write transitional reports when chil
dren move from day-care (there is no kindergarten in Nor
way) to school, and when children move from elementary
to middle school. This is particularly true in cases in which
the child has shown behavioral, social or academic difficul
ties. The stability of behavior problems was also moderate
to high, thus increasing the risk of continuing conflict with a
new teacher (Pakarinen et al., 2018).f Despite using prospective and multisource data from two
large population studies in countries with differing educa
tional systems, and strong analytical techniques that discount
one important set of confounding effects—time-invariant
ones—this report is not without limitations. The student-
teacher relationship is a two-way street, and teacher-reports
could be affected by personal characteristics, appraisals,
experiences and expectations on part of the teacher, thereby
reflecting teacher-characteristics rather than actual conflict
(Thijs & Koomen, 2009). However, many of these biases
could be considered more or less time-invariant and thus
are adjusted for in the RI-CLPM analyses. Also, we were
only able to capture the teacher’s appraisal of the amount of
student-teacher conflict, and there is some evidence to indi
cate that student and teacher ratings of their relationship do
not correspond well (Murray et al., 2008). An observational
measure might have provided a more unbiased account of
conflict-level. Even so, the STRS’ conflict dimension and When child-driven and relationship-driven effects were
detected, for both parent and teacher rating of behavior
problems and in both Norway and the USA, cross-lagged
paths in RI-CLPM did not differ between ages. This lack of
developmental differences is notable, as it might have been
expected that the importance of the teacher may change
over time. Conceivably, the student’s primary teacher may
stand out more distinctly as a non-parental socializing agent
in preschool and the lower primary grades, thus making
conflicts with this teacher especially detrimental. This might
seem especially so given that in middle school the student 1 3 Research on Child and Adolescent Psychopathology (2023) 51:331–342 340 conflict ratings of external observers have at least moderate
agreement (Thijs & Koomen, 2009).f no doubt gains to be made from avoiding student-teacher
conflict on many parameters relevant to both student and
teacher adjustment and well-being, but the effect on behav
ior problems is likely smaller than previously assumed. Conclusion Aarts, A. A., et al. (2015). Estimating the reproducibility of psycho
logical science [Article]. Science, 349(6251), 8, Article aac4716. A large body of research into the teacher-child relation
ship clearly suggests that this is a relationship of significant
developmental importance. Prior observational research
has chronicled reciprocal effects linking increased student-
teacher conflict and exacerbated behavior problems. Causal
interpretations of such associations have led to suggestions
that the student-teacher relationship may be a target of inter
vention to help prevent behavior problems (e.g., O’Connor
et al., 2011). Capitalizing on the possibilities of within-per
son analysis, we find that these anticipated statistical asso
ciations are evident in both Norway and the USA, and from
preschool or day-care through middle childhood. These
findings render support for a reciprocal relationship between
a conflictual student-teacher relationship and child behavior
problems, as assessed by parents, and from teacher-rated
behavior problems to conflicts in the student-teacher rela
tionship. However, even though the effects are smaller than
previously portrayed when time-invariant effects were not
adjusted for, they still lend some support to the importance
of the student-teacher relationship for the development
of behavior problems and vice-versa. Future work should
seek to determine whether some children prove more sus
ceptible to the effects under consideration, with the same
perhaps worth considering in the case of teachers. There are Aarts, A. A., et al. (2015). Estimating the reproducibility
logical science [Article]. Science, 349(6251), 8, Arti
https://doi.org/10.1126/science.aac4716 https://doi.org/10.1126/science.aac4716 Achenbach, T. (1991). Manual for the child behaviour checklist/4–18
and 1991 profile Achenbach, T. M., & Rescorla, L. A. (2000). Manual for the ASEBA
preschool forms and profiles (Vol. 30). University of Vermont,
research center for children youth & families Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA
school-age forms & profiles: child behavior checklist for ages
6–18, teacher’s report form, youth self-report: an integrated
system of multi-informant assessment. University of Vermont,
research center for children youth & families Atherton, O. E., Zheng, L. R., Bleidorn, W., & Robins, R. W. (2019). The Codevelopment of Effortful Control and School Behavioral
Problems. Journal of Personality and Social Psychology, 117(3),
659–673. https://doi.org/10.1037/pspp0000201 Baker, J. A., Grant, S., & Morlock, L. (2008). The teacher-student
relationship as a developmental context for children with inter
nalizing or externalizing behavior problems. School Psychology
Quarterly, 23(1), 3–15. https://doi.org/10.1037/1045-3830.23.1.3 Bellanti, C. J., Bierman, K. L., & Res, C. P. P., G (2000). Strengths and Limitations Although Norway and the USA differ in educational systems
and behavior problems, they are still Western and affluent coun
tries. Nevertheless, research indicates that teacher’s perceptions,
interpretations and expectations regarding children’s behavior
are somewhat culture specific, and behaviors that are condu
cive to the relationship in one culture may actually be associated
with higher levels of conflict in another (Gregoriadis & Tsigilis,
2008). Hence, generalization to locales with different educa
tional systems or sociocultural conditions or different ethnicities
should be done with utmost care. Subgroups of children—such
as those with disabilities or those doing poorly academically
(Hamre et al., 2008; Murray & Murray, 2004)—may also be
differentially at risk for, and sensitive to, conflict in the student-
teacher relationship (McGrath & Van Bergen, 2015). Hence,
although we find medium to small overall effects, for some
children—or teachers—the conflict-behavior problems link
may be stronger than is portrayed here. It is also possible, given
evidence of differential susceptibility to many environmental
effects (Belsky & Pluess, 2009), that the general or average
effect sizes evaluated herein mask meaningful variation in the
degree to which both individual teachers and children proved
susceptible to relational processes at school. Supplementary
Information The
online
version
contains
supplementary material available at https://doi.org/10.1007/s10802-
022-00968-4. Funding Open access funding provided by NTNU Norwegian Univer
sity of Science and Technology (incl St. Olav’s Hospital - Trondheim
University Hospital) Declaration The authors have no conflict of interest to disclose. Open Access This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format,
as long as you give appropriate credit to the original author(s) and the
source, provide a link to the Creative Commons licence, and indicate
if changes were made. The images or other third party material in this
article are included in the article’s Creative Commons licence, unless
indicated otherwise in a credit line to the material. If material is not
included in the article’s Creative Commons licence and your intended
use is not permitted by statutory regulation or exceeds the permitted
use, you will need to obtain permission directly from the copyright
holder. To view a copy of this licence, visit http://creativecommons. org/licenses/by/4.0/. 1 3 Conclusion Disentangling
the impact of low cognitive ability and inattention on social behav
ior and peer relationships. Journal of Clinical Child Psychology,
29(1), 66–75. https://doi.org/10.1207/S15374424jccp2901_7f g
j
_
Belsky, J., & Pluess, M. (2009). Beyond Diathesis Stress: Differential
Susceptibility to Environmental Influences [Review]. Psycholog
ical Bulletin, 135(6), 885–908. https://doi.org/10.1037/a0017376
Benjamini, Y., & Hochberg, Y. (1995). Controlling the False Discov
ery Rate - a Practical and Powerful Approach to Multiple Testing. Belsky, J., & Pluess, M. (2009). Beyond Diathesis Stress: Differential
Susceptibility to Environmental Influences [Review]. Psycholog
ical Bulletin, 135(6), 885–908. https://doi.org/10.1037/a0017376 Benjamini, Y., & Hochberg, Y. (1995). Controlling the False Discov
ery Rate - a Practical and Powerful Approach to Multiple Testing. 1 3 341 Research on Child and Adolescent Psychopathology (2023) 51:331–342 Journal of the Royal Statistical Society Series B-Methodological,
57(1), 289–300. ://A1995QE45300017 Hobson, C. W., Scott, S., & Rubia, K. (2011). Investigation of cool
and hot executive function in ODD/CD independently of ADHD. Journal of Child Psychology and Psychiatry, 52(10), 1035–1043. https://doi.org/10.1111/j.1469-7610.2011.02454.xl Birch, S. H., & Ladd, G. W. (1998). Children’s interpersonal behaviors
and the teacher-child relationship. Developmental Psychology,
34(5), 934–946. https://doi.org/10.1037/0012-1649.34.5.934 Hughes, J. N., Cavell, T. A., & Jackson, T. (1999). Influence of the
teacher-student relationship on childhood conduct problems: A
prospective study. Journal of Clinical Child Psychology, 28(2),
173–184. https://doi.org/10.1207/s15374424jccp2802_5 Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and
child development. Annual Review of Psychology, 53, 371–399. https://doi.org/10.1146/annurev.psych.53.100901.135233 Brendgen, M., Boivin, M., Dionne, G., Barker, E. D., Vitaro, F., Girard,
A., Tremblay, R., & Perusse, D. (2011). Gene-Environment Pro
cesses Linking Aggression, Peer Victimization, and the Teacher-
Child Relationship. Child Development, 82(6), 2021–2036. https://doi.org/10.1111/j.1467-8624.2011.01644.x Hygen, B. W., Belsky, J., Li, Z., Stenseng, F., Guzey, I. C., & Wich
strom, L. (2017). Change in Parenting, Change in Student-Teacher
Relationships, and Oxytocin Receptor Gene (OXTR): Testing a
Gene-X-Environment (G X E) Hypothesis in Two Samples [Arti
cle]. Developmental Psychology, 53(7), 1300–1315. https://doi. org/10.1037/dev0000333 Brendgen, M., Wanner, B., & Vitaro, F. (2006). Verbal abuse by the
teacher and child adjustment from kindergarten through grade
6. Pediatrics, 117(5), 1585–1598. https://doi.org/10.1542/
peds.2005-2050 Jerome, E. M., Hamre, B. K., & Pianta, R. C. (2009). Teacher-
Child Relationships from Kindergarten to Sixth Grade: Early
Childhood Predictors of Teacher-perceived Conflict and
Closeness. Social Development, 18(4), 915–945. https://doi. org/10.1111/j.1467-9507.2008.00508.x Cook, T. D., Gruder, C. L., Hennigan, K. M., & Flay, B. R. (1979). Conclusion His
tory of the sleeper effect - some logical pitfalls in accepting the
null hypothesis. Psychological Bulletin, 86(4), 662–679. https://
doi.org/10.1037/0033-2909.86.4.662 Korpershoek, H., Harms, T., de Boer, H., van Kuijk, M., & Doolaard,
S. (2016). A Meta-Analysis of the Effects of Classroom Man
agement Strategies and Classroom Management Programs on
Students’ Academic, Behavioral, Emotional, and Motivational
Outcomes. Review of Educational Research, 86(3), 643–680. https://doi.org/10.3102/0034654315626799f D’Onofrio, B. M., Van Hulle, C. A., Waldman, I. D., Rodgers, J. L.,
Rathouz, P. J., & Lahey, B. B. (2007). Causal inferences regard
ing prenatal alcohol exposure and childhood externalizing prob
lems. Archives of General Psychiatry, 64(11), 1296–1304. https://
doi.org/10.1001/archpsyc.64.11.1296 Lei, H., Cui, Y. H., & Chiu, M. M. (2016). Affective Teacher Student
Relationships and Students’ Externalizing Behavior Problems:
A Meta-Analysis. Frontiers in Psychology, 7, 1311. https://doi. org/10.3389/fpsyg.2016.01311 Drugli, M. B., & Hjemdal, O. (2013). Factor Structure of the Student-
Teacher Relationship Scale for Norwegian School-age Children
Explored with Confirmatory Factor Analysis. Scandinavian Jour
nal of Educational Research, 57(5), 457–466. https://doi.org/10.1
080/00313831.2012.656697 Loeber, R., Burke, J. D., & Pardini, D. A. (2009). Development and
Etiology of Disruptive and Delinquent Behavior. Annual Review
of Clinical Psychology, 5, 291–310. https://doi.org/10.1146/
annurev.clinpsy.032408.153631 Fanti, K. A., Eisenbarth, H., Goble, P., Demetriou, C., Kyranides, M. N., Goodwin, D., Zhang, J. H., Bobak, B., & Cortese, S. (2019). Psychophysiological activity and reactivity in children and ado
lescents with conduct problems: A systematic review and meta-
analysis. Neuroscience and Biobehavioral Reviews, 100, 98–107. https://doi.org/10.1016/j.neubiorev.2019.02.016 McGrath, K. F., & Van Bergen, P. (2015). Who, when, why and to what
end? Students at risk of negative student-teacher relationships and
their outcomes. Educational Research Review, 14, 1–17. https://
doi.org/10.1016/j.edurev.2014.12.001 Flook, L., & Fuligni, A. J. (2008). Family and school spillover in ado
lescents’ daily lives. Child Development, 79(3), 776–787. https://
doi.org/10.1111/j.1467-8624.2008.01157.x Mejia, T. M., & Hoglund, W. L. G. (2016). Do children’s adjustment
problems contribute to teacher-child relationship quality? Sup
port for a child-driven model. Early Childhood Research Quar
terly, 34, 13–26. https://doi.org/10.1016/j.ecresq.2015.08.003 Goodman, R., Ford, T., Simmons, H., Gatward, R., & Meltzer, H. (2000). Using the Strengths and Difficulties Questionnaire (SDQ)
to screen for child psychiatric disorders in a community sample. British Journal of Psychiatry, 177, 534–539. ://000165851200011 Menting, B., van Lier, P. A. C., & Koot, H. M. (2011). Language
skills, peer rejection, and the development of externaliz
ing behavior from kindergarten to fourth grade. Journal of
Child Psychology and Psychiatry, 52(1), 72–79. Conclusion https://doi. org/10.1111/j.1469-7610.2010.02279.x Gregoriadis, A., & Tsigilis, N. (2008). Applicability of the Student-
Teacher Relationship Scale (STRS) in the Greek educational set
ting. Journal of Psychoeducational Assessment, 26(2), 108–120. https://doi.org/10.1177/0734282907306894 Miner, J. L., & Clarke-Stewart, K. A. (2008). Trajectories of externaliz
ing behavior from age 2 to age 9: Relations with gender, tempera
ment, ethnicity, parenting, and rater. Developmental Psychology,
44(3), 771–786. https://doi.org/10.1037/0012-1649.44.3.771 Hamaker, E. L., Kuiper, R. M., & Grasman, R. (2015). A Critique of
the Cross-Lagged Panel Model [Article]. Psychological Methods,
20(1), 102–116. https://doi.org/10.1037/a0038889 Mulder, J. D., & Hamaker, E. L. (2020). Three Extensions of the
Random Intercept Cross-Lagged Panel Model [Article; Early
Access]. Structural Equation Modeling-a Multidisciplinary Jour
nal, 11. https://doi.org/10.1080/10705511.2020.1784738 Hamre, B. K., Pianta, R. C., Downer, J. T., & Mashburn, A. J. (2008). Teachers’ perceptions of conflict with young students: Looking
beyond problem behaviors. Social Development, 17(1), 115–136. https://doi.org/10.1111/j.1467-9507.2007.00418.x Murray, C., Murray, K. A., & Waas, G. A. (2008). Child and teacher
reports of teacher-student relationships: Concordance of perspec
tives and associations with school adjustment in urban kindergar
ten classrooms. Journal of Applied Developmental Psychology,
29(1), 49–61. https://doi.org/10.1016/j.appdev.2007.10.006 Heiervang, E., Stormark, K. M., Lundervold, A. J., Heimann, M.,
Goodman, R., Posserud, M. B., Ullebo, A. K., Plessen, K. J., Bjel
land, I., Lie, S. A., & Gillberg, C. (2007). Psychiatric disorders
in Norwegian 8-to 10-year-olds: An epidemiological survey of
prevalence, risk factors, and service use. Journal of the American
Academy of Child and Adolescent Psychiatry, 46(4), 438–447. ://000245157800005 Murray, C., & Murray, K. M. (2004). Child level correlates of
teacher-student relationships: An examination of demographic
characteristics, academic orientations, and behavioral orienta
tions. Psychology in the Schools, 41(7), 751–762. https://doi. org/10.1002/pits.20015 Hill, J. (2002). Biological, psychological and social processes in the
conduct disorders. Journal of Child Psychology and Psychiatry,
43(1), 133–164. https://doi.org/10.1111/1469-7610.00007 1 3 342 Research on Child and Adolescent Psychopathology (2023) 51:331–342 Skalicka, V., Belsky, J., Stenseng, F., & Wichstrøm, L. (2015a). Reciprocal Relations Between Student-Teacher Relationship
and Children’s Behavioral Problems: Moderation by Child-Care
Group Size. Child Development, 86(5), 1557–1570. https://doi. org/10.1111/cdev.12400 NICHD Early Child Care Research Network (Ed.). (2005). Child care
and child development: Results from the NICHD study of early
child care and youth development. Guilford Press Nurmi, J. E. (2012). Students’ characteristics and teacher-child
relationships in instruction: A meta-analysis. Educational
Research Review, 7(3), 177–197. https://doi.org/10.1016/j. edurev.2012.03.001 Skalicka, V., Stenseng, F., & Wichstrøm, L. (2015b). Conclusion Recipro
cal relations between student-teacher conflict, children’s
social skills and externalizing behavior: A three-wave longi
tudinal study from preschool to third grade. International Jour
nal of Behavioral Development, 39(5), 413–425. https://doi. org/10.1177/0165025415584187i O’Connor, E. E., Dearing, E., & Collins, B. A. (2011). Teacher-Child
Relationship and Behavior Problem Trajectories in Elementary
School. American Educational Research Journal, 48(1), 120–
162. https://doi.org/10.3102/0002831210365008 O’Connor, T. G., Heron, J., Golding, J., Beveridge, M., & Glover, V. (2002). Maternal antenatal anxiety and children’s behavioural/
emotional problems at 4 years - Report from the Avon Longitudi
nal Study of Parents and Children. British Journal of Psychiatry,
180, 502–508. https://doi.org/10.1192/bjp.180.6.502 Steinsbekk, S., & Wichstrøm, L. (2018). Cohort Profile: The Trond
heim Early Secure Study (TESS)-a study of mental health, psy
chosocial development and health behaviour from preschool to
adolescence [Article]. International Journal of Epidemiology,
47(5), 1401–. https://doi.org/10.1093/ije/dyy190 Sveen, T. H., Berg-Nielsen, T. S., Lydersen, S., & Wichstrøm, L. (2013). Detecting Psychiatric Disorders in Preschoolers: Screening With
the Strengths and Difficulties Questionnaire [Article]. Journal
of the American Academy of Child and Adolescent Psychiatry,
52(7), 728–736. https://doi.org/10.1016/j.jaac.2013.04.010 Orth, U., Meier, L. L., Buhler, J. L., Dapp, L. C., Krauss, S., Messerli,
D., & Robins, R. W. (2022). Effect Size Guidelines for Cross-
Lagged Effects. Psychological Methods. https://doi.org/10.1037/
met0000499 Pakarinen, E., Silinskas, G., Hamre, B. K., Metsapelto, R. L.,
Lerkkanen, M. K., Poikkeus, A. M., & Nurmi, J. E. (2018). Cross-Lagged Associations Between Problem Behaviors and
Teacher-Student Relationships in Early Adolescence. Jour
nal of Early Adolescence, 38(8), 1100–1141. https://doi. org/10.1177/0272431617714328 Thijs, J., & Koomen, H. M. Y. (2009). Toward a further understanding
of teachers’ reports of early teacher-child relationships: Exam
ining the roles of behavior appraisals and attributions. Early
Childhood Research Quarterly, 24(2), 186–197. https://doi. org/10.1016/j.ecresq.2009.03.001 Pianta, R. C. (2001). STRS: Student-Teacher Relationship Scale: Pro
fessional manual Thijssen, S., Ringoot, A. P., Wildeboer, A., Bakermans-Kranen
burg, M. J., Marroun, E., Hofman, H., Jaddoe, A., Verhulst, V. W. V., Tiemeier, F. C., van Ijzendoorn, H., M. H., & White, T. (2015). Brain morphology of childhood aggressive behavior: A
multi-informant study in school-age children. Cognitive Affec
tive & Behavioral Neuroscience, 15(3), 564–577. https://doi. org/10.3758/s13415-015-0344-9 Pianta, R. C., & Stuhlman, M. W. (2004). Teacher-child relationships
and children’s success in the first years of school. School Psychol
ogy Review, 33(3), 444–458. ://WOS:000224564100011 Rhee, S. H., & Waldman, I. D. (2002). Genetic and environmen
tal influences on antisocial behavior: A meta-analysis of twin
and adoption studies. Conclusion Psychological Bulletin, 128(3), 490–529. https://doi.org/10.1037//0033-2909.128.3.490 Tsigilis, N., & Gregoriadis, A. (2008). Measuring Teacher-Child
Relationships in the Greek Kindergarten Setting: A Validity
Study of the Student-Teacher Relationship Scale-Short Form. Early Education and Development, 19(5), 816–835. https://doi. org/10.1080/10409280801975826i Roorda, D. L., & Koomen, H. M. Y. (2021). Student-Teacher Relation
ships and Students’ Externalizing and Internalizing Behaviors:
A Cross-Lagged Study in Secondary Education. Child Develop
ment, 92(1), 174–188. https://doi.org/10.1111/cdev.13394 Usami, S., Murayama, K., & Hamaker, E. L. (2019). A Unified Frame
work of Longitudinal Models to Examine Reciprocal Relations. Psychological Methods, 24(5), 637–657. https://doi.org/10.1037/
met0000210 Roorda, D. L., Verschueren, K., Vancraeyveldt, C., Van Craeyevelt, S.,
& Colpin, H. (2014). Teacher-child relationships and behavioral
adjustment: Transactional links for preschool boys at risk. Journal
of School Psychology, 52(5), 495–510. https://doi.org/10.1016/j. jsp.2014.06.004 Valiente, C., Eisenberg, N., Smith, C. L., Reiser, M., Fabes, R. A.,
Losoya, S., Guthrie, I. K., & Murphy, B. C. (2003). The relations
of effortful control and reactive control to children’s externaliz
ing problems: A longitudinal assessment. Journal of Personality,
71(6), 1171–1196. https://doi.org/10.1111/1467-6494.7106011 Rowe, R., Maughan, B., Pickles, A., Costello, E. J., & Angold, A. (2002). The relationship between DSM-IV oppositional defi
ant disorder and conduct disorder: findings from the Great
Smoky Mountains Study. Journal of Child Psychology and
Psychiatry and Allied Disciplines, 43(3), 365–373. https://doi. org/10.1111/1469-7610.00027 Wichstrøm, L., Penelo, E., Viddal, K. R., de la Osa, N., & Ezpeleta,
L. (2018). Explaining the relationship between temperament and
symptoms of psychiatric disorders from preschool to middle
childhood: hybrid fixed and random effects models of Norwegian
and Spanish children. Journal of Child Psychology and Psychia
try, 59(3), 285–295. https://doi.org/10.1111/jcpp.12772 Rudasill, K. M., Reio, T. G., Stipanovic, N., & Taylor, J. E. (2010). A
longitudinal study of student-teacher relationship quality, difficult
temperament, and risky behavior from childhood to early adoles
cence. Journal of School Psychology, 48(5), 389–412. https://doi. org/10.1016/j.jsp.2010.05.001 Yoon, J. S. (2002). Teacher characteristics as predictors of teacher-
student relationships: Stress, negative affect, and self-efficacy. Social Behavior and Personality, 30(5), 485–493. https://doi. org/10.2224/sbp.2002.30.5.485 Sabol, T. J., & Pianta, R. C. (2012). Recent trends in research on
teacher-child relationships. Attachment & Human Development,
14(3), 213–231. https://doi.org/10.1080/14616734.2012.672262f Zee, M., Koomen, H. M. Y., & Van der Veen, I. (2013). Student-
teacher relationship quality and academic adjustment in upper
elementary school: The role of student personality. Journal of
School Psychology, 51(4), 517–533. https://doi.org/10.1016/j. jsp.2013.05.003 Satorra, A., & Bentler, P. M. (2001). Publisher’s Note Springer Nature remains neutral with regard to juris
dictional claims in published maps and institutional affiliations. Conclusion A scaled difference chi-square
test statistic for moment structure analysis. Psychometrika, 66(4),
507–514. https://doi.org/10.1007/bf02296192 Silver, R. B., Measelle, J. R., Armstrong, J. M., & Essex, M. J. (2005). Trajectories of classroom externalizing behavior: Contributions of
child characteristics, family characteristics, and the teacher-child
relationship during the school transition. Journal of School Psy
chology, 43(1), 39–60. https://doi.org/10.1016/j.jsp.2004.11.003 Publisher’s Note Springer Nature remains neutral with regard to juris
dictional claims in published maps and institutional affiliations. 1 3
|
https://openalex.org/W4388279368
|
https://www.nature.com/articles/s41598-023-46036-9.pdf
|
English
| null |
Structure–activity studies of Streptococcus pyogenes enzyme SpyCEP reveal high affinity for CXCL8 in the SpyCEP C-terminal
|
Scientific reports
| 2,023
|
cc-by
| 8,930
|
Structure–activity studies
of Streptococcus pyogenes enzyme
SpyCEP reveal high affinity
for CXCL8 in the SpyCEP C‑terminal
Max Pearson 1,2, Carl Haslam 3, Andrew Fosberry 3, Emma J. Jones 3, Mark Reglinski 1,
Lucy Reeves 1, Robert J. Edwards 4, Richard Ashley Lawrenson 1, Jonathan C. Brown 1,
Danuta Mossakowska 3,5, James Edward Pease 6* & Shiranee Sriskandan 1,2*
OPEN The Streptococcus pyogenes cell envelope protease (SpyCEP) is vital to streptococcal pathogenesis
and disease progression. Despite its strong association with invasive disease, little is known about
enzymatic function beyond the ELR+ CXC chemokine substrate range. As a serine protease, SpyCEP
has a catalytic triad consisting of aspartate (D151), histidine (H279), and serine (S617) residues
which are all thought to be mandatory for full activity. We utilised a range of SpyCEP constructs to
investigate the protein domains and catalytic residues necessary for enzyme function. We designed
a high-throughput mass spectrometry assay to measure CXCL8 cleavage and applied this for the first
time to study the enzyme kinetics of SpyCEP. Results revealed a remarkably low Michaelis-Menton
constant (KM) of 82 nM and a turnover of 1.65 molecules per second. We found that an N-terminally-
truncated SpyCEP C-terminal construct containing just the catalytic dyad of H279 and S617 was
capable of cleaving CXCL8 with a similar KM of 55 nM, albeit with a reduced substrate turnover of
2.7 molecules per hour, representing a 2200-fold reduction in activity. We conclude that the SpyCEP
C-terminus plays a key role in high affinity substrate recognition and binding, but that the N-terminus
is required for full catalytic activity. Group A Streptococcus (GAS) or Streptococcus pyogenes is a leading human pathogen that manifests clinically as
a broad spectrum of diseases, ranging from less severe, usually self-limiting infections, to life-threatening invasive
diseases such as necrotizing fasciitis and toxic shock syndrome. While much of the global health burden of S. pyogenes can be attributed to auto-immune sequelae such as rheumatic heart disease, invasive diseases contribute
greatly to S. pyogenes-associated global mortality. At least 663,000 new cases of invasive infection arise per year,
accounting for approximately 163,000 deaths1, with the global incidence increasing in both high and low-income
countries2. Mortality rates remain high despite intervention; indeed, 20% of patients with invasive S. pyogenes
disease die within 7 days of infection onset3. Several virulence factors contribute to pathogenesis in invasive S. pyogenes disease, chief among which is
Streptococcus pyogenes cell envelope protease (SpyCEP), an immune-modulatory cell wall-associated protease. SpyCEP is responsible for the rapid and efficient cleavage of a distinct group of CXC chemokines comprising
CXCL1, CXCL2, CXCL3, CXCL5, CXCL6, CXCL7, and CXCL8, both locally at the site of an infection, and
systemically4–7. The ELR+ chemokines, named for their conserved N-terminal glutamate-leucine-arginine motifs,
specifically act upon neutrophils eliciting their recruitment and activation. www.nature.com/scientificreports www.nature.com/scientificreports www.nature.com/scientificreports/ such, SpyCEP cleavage of CXC chemokines results in a reduction of CXCR1 and CXCR2-mediated neutrophil
chemotaxis and subsequent paucity of neutrophils at the site of S. pyogenes infection4. SpyCEP has recently been
shown to cleave the human anti-microbial peptide, LL-37 in addition to chemokines10. Whilst cleavage does not
affect the antimicrobial action of the peptide, it was reported to reduce LL-37 specific neutrophil chemotaxis10. f
p p
p
pi
p
SpyCEP is expressed by S. pyogenes as a 1647 amino acid, 180 kDa subtilisin-like serine protease, found
both anchored in the bacterial cell wall and shed into the local enviroment. The crystal structure of SpyCEP was
recently solved to 2.8 Å resolution11 and further refined to 2.2 Å resolution12. It is a member of the S8 subtilase
family, members of which are characterised by a catalytic triad consisting of an aspartate, histidine, and serine
residue, each surrounded by a region of highly conserved amino acids13. SpyCEP is unique among streptococcal
proteases in that, during maturation, it is autocatalytically cleaved between residues Q244 and S245 into 2 distinct
polypeptides, a 30 kDa N-terminal polypeptide and a 150 kDa C-terminal polypeptide. The two polypeptides
harbour the separate residues required for the formation of the catalytic site7; the N-terminal fragment contains
the catalytic D151 residue, and the C-terminal fragment contains the catalytic H279 and S617 residues. Upon
cleavage, the two polypeptides re-associate non-covalently to reconstitute the active enzyme7. The recent crystal
structures have shed further light upon the structure of SpyCEP, describing 9 separate domains, the first 5 of
which contain the catalytic triad necessary for enzymatic activity11. y
y
y
y
SpyCEP has been included as a target antigen in several recent S. pyogenes vaccine designs due to its cell
surface expression, highly conserved nature, and central role in S. pyogenes pathogenesis. Immunisation with
SpyCEP successfully elicits a SpyCEP-specific neutralising antibody response, providing protection against sys-
temic bacterial dissemination and reducing disease severity in S. pyogenes intramuscular, skin infection models
and non-human primate infection models14–19. Data that demonstrate vaccine dependence on enzyme inhibition
highlight the importance of understanding the enzymatic activity of SpyCEP and the potential to improve upon
vaccine or inhibitor design14. Despite this, little is known about the catalytic properties of the enzyme, except preliminary structure–func-
tion studies7,11,12,20. Published data largely focus on the impact of SpyCEP on streptococcal pathogenesis and
disease progression. www.nature.com/scientificreports/ In this study we generated multiple SpyCEP constructs to confirm domains necessary for
catalytic activity. We then used mass spectrometry to determine the enzyme kinetics of two SpyCEP constructs
for the natural substrate CXCL8. Methods
Cl
i Cloning and purification of recombinant SpyCEP constructs in Escherichia coli
Codon-optimised SpyCEP gene constructs were expressed in Escherichia coli using synthetic gene sequences
(GenScript) from Spy_0416 in the SF370 S. pyogenes M1 genome7,21 representing full-length enzyme,
SpyCEP34–1613, the N-terminal polypeptide, SpyCEP34–244, and C-terminal polypeptide SpyCEP245–1613. Con-
structs were also generated with alanine substitutions to replace catalytic residues in the N-terminal fragment
(SpyCEP34–244 D151A), and the C-terminal fragment (SpyCEP245–1613 S617A). To enable downstream protein
purification, both the full-length enzyme and C-terminal polypeptides were expressed with a C-terminal 6-his-
tidine tag and the N-terminal polypeptides were expressed with an N-terminal FLAG tag and TEV linker. g
p yp p
p
g
All SpyCEP constructs were cloned into the vector pET-24B and expressed in BL21 (DE3) competent E. coli,
cultured in Terrific Broth medium supplemented with 50 µg/mL kanamycin at 37 °C and shaken at 200 rpm, for
3 h. The cultures were induced with 0.5 mM Isopropyl β-D-1-thiogalactopyranoside (IPTG), cooled to 15 °C
and shaken at 200 rpm for 16 h before lysis by sonication on ice. Full-length and C-terminal constructs were
purified by Ni-IDA affinity chromatography (GenScript) as per the manufacturer’s instructions. N-terminal
constructs were purified by anti-flag M2 agarose resin chromatography (Sigma-Aldrich) as per manufacturer’s
instruction, and further concentrated and purified by SP ion-exchange (Sigma-Aldrich) and Q FF ion-exchange
chromatography (GE Healthcare) as per manufacturer’s instruction. All SpyCEP constructs were subsequently
concentrated and purified by size exclusion chromatography on a HiLoad Superdex 200 or 75 prep grade column
(GE Healthcare) dependent on molecular weight.h The resultant panel of recombinantly expressed SpyCEP constructs is shown in Table 1. All of the resultant
protein preparations were found to be > 80% pure as determined following analysis by SDS-PAGE (Figure S1). The
re-association of the SpyCEP N and C-termini to create full-length constructs was carried out by equimolar co-
incubation at 37 °C for 30 min in 40 mM Tris–HCl pH 7.5, 0.1 mM CHAPS, 1 mM DTT, 0.1% BSA, 75 mM NaCl. Table 1. SpyCEP constructs used in this study. Constructs were expressed recombinantly in E. coli except for
s.pSpyCEP that was expressed in, and purified from S. pyogenes. SpyCEP construct
SpyCEP construct description
SpyCEP
Full-length, SpyCEP34–1613-6His
SpyCEPD151A, S617A
Full-length double mutant, SpyCEP34–1613 D151A, S617A-6His
N-terminal
N-terminal fragment, FLAG-TEV-SpyCEP34–244
C-terminal
C-terminal fragment, SpyCEP245–1613-6His
N-terminalD151A
N-terminal mutant fragment, FLAG-TEV-SpyCEP34–244 D151A
C-terminalS617A
C-terminal mutant fragment, SpyCEP245–1613 S617A-6His
s.pSpyCEP
SpyCEP from S. Structure–activity studies
of Streptococcus pyogenes enzyme
SpyCEP reveal high affinity
for CXCL8 in the SpyCEP C‑terminal
Max Pearson 1,2, Carl Haslam 3, Andrew Fosberry 3, Emma J. Jones 3, Mark Reglinski 1,
Lucy Reeves 1, Robert J. Edwards 4, Richard Ashley Lawrenson 1, Jonathan C. Brown 1,
Danuta Mossakowska 3,5, James Edward Pease 6* & Shiranee Sriskandan 1,2*
OPEN SpyCEP inactivates these chemokines
by cleaving the chemokine C-terminal α-helix, releasing a 13 amino acid peptide in the case of CXCL84. Although
chemokine specificity for binding neutrophil chemokine receptors, CXCR1 and CXCR2, is conferred to a large
extent by the chemokine N-terminal ELR motif8, the chemokine C-terminus is necessary for efficient recep-
tor binding and activation9, in addition to chemokine translocation from tissues to endothelial lumen8. As 1Department of Infectious Disease, Imperial College London, London W12 0NN, UK. 2Centre for Bacterial
Resistance Biology, Imperial College London, London SW7 2AZ, UK. 3GlaxoSmithKline R&D, Gunnels Wood Road,
Stevenage, Hertfordshire SG1 2NY, UK. 4Department of Medicine, Imperial College London, London W12 0NN,
UK. 5Malopolska Centre of Biotechnology, Jagiellonian University, 30‑387 Kraków, Poland. 6National Heart and
Lung Institute, Imperial College London, London SW7 2AZ, UK. *email: j.pease@imperial.ac.uk; s.sriskandan@
imperial.ac.uk | https://doi.org/10.1038/s41598-023-46036-9 Scientific Reports | (2023) 13:19052 www.nature.com/scientificreports/ Sodium dodecyl sulphate–polyacrylamide gel electrophoresis (SDS‑page) y
p
p
y
y
g
p
p g
To visualise chemokine cleavage, 50 pmol of recombinant human CXCL1 or CXCL8 (R&D Systems) was incu-
bated with C-terminal SpyCEP in a final volume of 20 μl reaction buffer (40 mM Tris-HCL pH 7.5, 0.1% BSA,
75 mM NaCl), at a molar ratio of 1:5, 1:50, 1:500, 1:5000 in favour of chemokine for 2 h at 37 °C. C-terminalS617A
and N-terminal constructs34–244 were included as controls and assayed at the highest 1:5 molar ratio. Reactions
were halted by the addition of Dithiothreitol (DTT) at a final concentration of 100 mM, 4X Bolt LDS sample
buffer and heating to 70 °C for 10 min. Samples were separated on pre-cast 4–12% MES buffered Bolt Bis–Tris
gradient gels (Invitrogen) by SDS-PAGE gel electrophoresis at 165 V for 35 min with SeeBlue Plus 2 (Invitrogen)
used for molecular weight ladder. Gels were stained with PageBlue protein staining solution (Thermo Fisher
Scientific) overnight and de-stained in deionised water. Expression of histidine‑tagged SpyCEP in S. pyogenes Expression of histidine‑tagged SpyCEP in S. pyogenes
l
f
l bl
d
b p
gg
py
py g
To permit release of soluble His-tagged SpyCEP by S. pyogenes, the C-terminal anchor domain of SpyCEP was
replaced by a stop codon in S. pyogenes strain H292, an emm81 strain that makes abundant SpyCEP6, with activity
shown by an ELISA-based method12 to be: KM 101 nM, Kcat 3.19. A 549 base pair region immediately upstream
of the SpyCEP cell wall anchor motif was amplified from S. pyogenes H292 genomic DNA using the primers
5′GGGAATTCTGTTGTCAGGTAACAGTCTTATCTTGCC-3′ and 5′CCGAATTCACAACACTAGGCTTTT
GCTGAGGTCGTTG-3′. EcoRI restriction sites were incorporated at the terminal ends of the primer sequences. The amplified DNA was cloned into the homologous recombination plasmid pUCMUT to produce the vector
pUCMUTCEP which was transformed into One Shot TOP10 Chemically Competent E. coli (Thermo Fisher
Scientific) according to the manufacturer’s instructions. The nucleotide sequence of the SpyCEP C-terminus
was subsequently further modified to encode a hexa-histidine tag by inverse PCR using pUCMUTCEP as the
template and the primers 5′-TATCCTAGGTAGTGTTGTGAATTCGTAATCATGGTCATAG-3′ and 5′-TATCCT
AGGATGATGATGATGATGATGGGCTTTTGCTGAGGTCGTTG-3′. The amplification was performed using
GoTaq Long PCR Master Mix (Promega) according to the manufacturer’s instructions. AvrII restriction sites,
incorporated at the terminal ends of the primer sequences, facilitated re-circulation of the amplified plasmid
(denoted pUCMUTCEP-HIS). The pUCMUTCEP-HIS construct was introduced into H292 by electroporation and
crossed into the chromosome by homologous recombination as previously described22 to generate strain H1317. Secretion of 6-His-tagged SpyCEP into the culture supernatant of H1317 was confirmed by western blotting
(data not shown). To purify SpyCEP, S. pyogenes H1317 was grown in Todd-Hewitt broth (Oxoid) overnight at
37 °C with 5% CO2 The culture was pelleted at 2500 × g for 10 min and the supernatant sterilised using Amicon
0.22 µm filters, then concentrated using 15 ml Amicon 100 kDa centrifuge filter columns and purified by nickel
column affinity chromatography (Novagen His-Bind Resin) as per the manufacturer’s instructions. SDS-PAGE
analysis of the resultant s.pSpyCEP construct showed a pure enzyme preparation (Figure S2). Multiplex fluorescent western blotting l
g
To visualise generation of both intact CXCL8 and the larger (N-terminal) CXCL8 cleavage product, a rabbit anti-
serum was raised against the CXCL8 neo-epitope (anti-ENWVQ) that is exposed following SpyCEP cleavage of
CXCL823. SpyCEP constructs were incubated at 37 °C with 18.75 pmol of recombinant human CXCL8 in a final
volume of 20 μl, at a 1:50 molar ratio in favour of CXCL8. Digests were halted and separated by SDS-PAGE gel
electrophoresis as described above. Proteins were transferred by iBlot2 (Thermo Fisher Scientific) onto 0.2 μm
nitrocellulose membranes as per manufacturer’s instructions. Membranes were subsequently blocked for 1 h at
room temperature in blocking buffer (PBS with 5% skimmed milk powder (Sigma-Aldrich) and 0.1% Tween),
then blotted overnight at 4 °C with 2 primary antibodies, 1 µg/ml mouse anti-human CXCL8 (R&D Systems)
and 1:1000 rabbit anti-ENWVQ. Membranes were washed in wash buffer (PBS with 0.05% Tween) and incubated
with 1:7500 goat anti-rabbit IgG A680nm and 1:7500 goat anti-mouse IgG A790nm for 1 h at room temperature
before being visualised on LiCor Odyssey Fc (Invitrogen). g
y
y
g
SpyCEP activity against LL-37 was assessed by a 16 h, 37 °C incubation of 111.1 pmol human LL-37 (R&D
Systems) with SpyCEP constructs at a 1:10 molar ratio in favour of LL-37 in a final volume of 20 μl. Reactions
were stopped, separated and blotted onto 0.2 μm nitrocellulose as above and incubated overnight at 4 °C in
blocking buffer supplemented with 2 μg/ml polyclonal sheep IgG anti-LL-37 (R&D Systems). Membranes were
washed in wash buffer (PBS with 0.05% Tween) and incubated in blocking solution with rabbit anti-sheep IgG
(Abcam) at 1:40,000 dilution for 1 h at room temperature and visualised on LiCor Odyssey Fc (Invitrogen). Methods
Cl
i pyogenes supernatant, SpyCEP34–1613-6His Table 1. SpyCEP constructs used in this study. Constructs were expressed recombinantly in E. coli except for
s.pSpyCEP that was expressed in, and purified from S. pyogenes. https://doi.org/10.1038/s41598-023-46036-9 Scientific Reports | (2023) 13:19052 | www.nature.com/scientificreports/ Expression of histidine‑tagged SpyCEP in S. pyogenes Enzyme linked immunosorbent assay (ELISA) analysis of chemokine cleavage Enzyme linked immunosorbent assay (ELISA) analysis of chemokine cleavage
Catalytic activities of SpyCEP constructs were measured through detection of remaining intact CXCL8 or CXCL1
substrate following incubation with SpyCEP by ELISA (R&D Systems human CXCL8 and CXCL1 DuoSet ELISA)
as per manufacturer’s instructions. For cleavage time courses of CXCL8 by C-terminal SpyCEP, 5 pmol CXCL8
were incubated with C-terminal constructs at a range of enzyme: chemokine molar ratios, 1:5–1:250, in a final
volume of 100 μl at room temperature for 60 min. Full-length SpyCEP and C-terminal S617A were included
as controls at a molar ratio of 1:1000 and 1:5, respectively. To compare SpyCEP cleavage rates of CXCL8 and
CXCL1, 5 fmol or 10 fmol SpyCEP were incubated with 2 pmol human CXCL8 and CXCL1 respectively (R&D
Systems), in a final volume of 100 μl and incubated at room temperature for 30 min. All reactions were halted
at defined timepoints with the addition of concentration of Pefabloc (Sigma-Aldrich) to a final concentration
of 2 mg/ml (8.34 mM).i g
Linear regression analyses of the initial five time points of CXCL1 and CXCL8 cleavage (0, 1, 2, 3 and 4 min)
were utilised to determine the maximal rate of SpyCEP activity. Scientific Reports | (2023) 13:19052 | https://doi.org/10.1038/s41598-023-46036-9 www.nature.com/scientificreports/ Mass spectrometry analysis of CXCL8 cleavage p
y
y
g
Analysis of CXCL8 cleavage was assayed on a SCIEX API6500 triple quadrupole electrospray mass spectrometer
coupled to a high-throughput robotic sample preparation and injection system, RapidFire200 (Agilent Technolo-
gies). CXCL8 substrate, the 13 amino acid CXCL8 SpyCEP cleavage product RVVEKFLKRAENS, and a heavy
atom substituted internal standard of CXCL8 SpyCEP cleavage product RV [U13C5 15N-VAL]-EKF-[U-13C6
15N-Leu]- KRAENS) were monitored by mass spectrometry. The mass spectrometer was operated in positive
electrospray MRM mode, and transitions (Q1/Q3) for each species were optimised to give m/z as follows: CXCL8,
1048.7/615.3, CXCL8 cleavage product 526.2/211.1, internal standard 530.5/211.1. A dwell time of 50 ms was
used for the MRM transitions. The mass spectrometer was operated with a spray voltage of 5500 V and at a
source temperature of 650 °C. p
To assay CXCL8 cleavage dynamically, chemokine and SpyCEP constructs were loaded into a 384 well plate
to the following final concentrations: 6.25–2000 nM chemokine, 250 pM SpyCEP or 40 nM C-terminal SpyCEP
in a 20 μl reaction volume. Enzyme linked immunosorbent assay (ELISA) analysis of chemokine cleavage Reactions were carried out at 21 °C and stopped at desired time points, 0–240 min, by
the addition of stop solution (1% formic acid) supplemented with 1 µM heavy atom substituted CXCL8 internal
standard and centrifuged 2000 × g for 10 min. Assay plates were transferred onto the RapidFire200 integrated to
the API6500 mass spectrometer. Samples were aspirated under vacuum directly from 384-well assay plates for
0.6 s. The samples were then loaded onto a C18 solid-phase extraction cartridge to remove non-volatile buffer
salts, using HPLC -grade water supplemented with 0.1% (v/v) formic acid at a flow rate of 1.5 mL/min for 4 s. The retained analytes were eluted to the mass spectrometer by washing the cartridge with acetonitrile HPLC-
grade water (8:2, v/v) with 0.1% (v/v) formic acid at 1.25 mL/min for 4 s. The cartridge was re-equilibrated with
HPLC-grade water supplemented with 0.1% (v/v) formic acid for 0.6 s at 1.5 mL/min. g
Results were expressed as a ratio of CXCL8 cleavage product (526.2/211.1) intensity areas compared with the
internal standard (530.5/211.1) instensity areas. The results were interpolated from a standard curve constructed
using known amounts of cleaved CXCL8 over the range of 25–2000 nM where there was a linear relationship
(R2 = 0.99) and with a coefficient of variation < 9% for all concentrations. Where interpolated values were below
25 nM, the assay LOQ, values were assigned an arbitrary value of LOQ/2, 12.5 nM. Kinetic analysis Linear regression analyses from five time points of full-length SpyCEP (1, 2, 3, 4, 5 min) and C-terminal SpyCEP
(15, 30, 45, 60, 75 min) CXCL8 reactions were plotted against substrate concentration and kinetics derived
from the Michaelis-Menton equation Y = Vmax*X/(KM + X) and the Kcat equation Y = ET*kcat*X/(KM + X) where
Et = enzyme concentration as fitted by GraphPad Prism v 8.0.2. Screening of CXCL8 cleavage activity using fluorescent western blotting Differential cleavage of CXCL8 and CXCL1 by full‑length and C‑terminal SpyCEP
To determine whether the catalytic activity of the C terminal SpyCEP fragment was reproducible Screening of CXCL8 cleavage activity using fluorescent western blotting Screening of CXCL8 cleavage activity using fluorescent western blotting
To initially assess the activity of recombinant SpyCEP constructs we screened constructs for specific CXCL8
cleavage activity using two-colour multiplex western blotting. Human CXCL8 was incubated for 2 h at 37 °C with
the different SpyCEP constructs, and the reaction products were separated by SDS-PAGE, then immunoblotted
using separate antibodies that detect either intact or cleaved CXCL8. Detection of full-length CXCL8 (8 kDa,
green bands) or the CXCL8 neo epitope (ENWVQ), exposed after SpyCEP cleavage, (6 kDa, red bands) was evi-
dent with this system (Fig. 1). Recombinant full-length SpyCEP expressed in E. coli successfully cleaved CXCL8
to completion, with no difference observed between CXCL8 cleavage with S. pyogenes SpyCEP and E. coli SpyCEP
(Fig. 1). As expected, no CXCL8 cleavage was observed when using the catalytically inactive mutant, SpyCEPD151A,
S617A. As has been previously reported7, the SpyCEP N- and C-termini, when independently expressed and
purified, can be re-associated to form an active enzyme R.E SpyCEP, which successfully cleaved CXCL8. The
N-terminal fragment of SpyCEP alone could not cleave CXCL8. Unexpectedly, however, the C-terminal frag-
ment of SpyCEP was observed to cleave CXCL8, albeit not to completion. This independent catalytic activity
was negated by mutation of the catalytic S617 to alanine (C-terminalS617A construct, Fig. 1). Cleavage of CXCL8
by the SpyCEP C-terminal fragment was enhanced when re-associated with the catalytically inert N-terminal
mutant (N-terminalD151A construct); indeed, activity was equivalent to that observed with the re-associated
enzyme under these conditions, with cleavage of CXCL8 to near completion. However, the N-terminalD151A
construct was unable to restore catalytic activity to the C-terminalS617A construct when the two were combined.hifi g
g
y
gl
g
To initially assess the activity of recombinant SpyCEP constructs we screened constructs for specific CXCL8
cleavage activity using two-colour multiplex western blotting. Human CXCL8 was incubated for 2 h at 37 °C with
the different SpyCEP constructs, and the reaction products were separated by SDS-PAGE, then immunoblotted
using separate antibodies that detect either intact or cleaved CXCL8. Detection of full-length CXCL8 (8 kDa,
green bands) or the CXCL8 neo epitope (ENWVQ), exposed after SpyCEP cleavage, (6 kDa, red bands) was evi-
dent with this system (Fig. 1). Recombinant full-length SpyCEP expressed in E. coli successfully cleaved CXCL8
to completion, with no difference observed between CXCL8 cleavage with S. pyogenes SpyCEP and E. coli SpyCEP
(Fig. 1). Screening of CXCL8 cleavage activity using fluorescent western blotting As expected, no CXCL8 cleavage was observed when using the catalytically inactive mutant, SpyCEPD151A,
S617A. As has been previously reported7, the SpyCEP N- and C-termini, when independently expressed and
purified, can be re-associated to form an active enzyme R.E SpyCEP, which successfully cleaved CXCL8. The
N-terminal fragment of SpyCEP alone could not cleave CXCL8. Unexpectedly, however, the C-terminal frag-
ment of SpyCEP was observed to cleave CXCL8, albeit not to completion. This independent catalytic activity
was negated by mutation of the catalytic S617 to alanine (C-terminalS617A construct, Fig. 1). Cleavage of CXCL8
by the SpyCEP C-terminal fragment was enhanced when re-associated with the catalytically inert N-terminal
mutant (N-terminalD151A construct); indeed, activity was equivalent to that observed with the re-associated
enzyme under these conditions, with cleavage of CXCL8 to near completion. However, the N-terminalD151A
construct was unable to restore catalytic activity to the C-terminalS617A construct when the two were combined. The results demonstrated for the first time that the SpyCEP C-terminal fragment alone is sufficient for cata-
lytic cleavage of CXCL8 in this assay system. The data also established that, although the presence of the SpyCEP
N-terminal fragment enhanced enzymatic activity, the N-terminal residue D151 was dispensable for enzymatic
activity. We further sought to examine whether the C-terminal displayed activity against the newly described
substrate, LL-3710. Western blot analysis confirmed cleavage of LL-37 by full-length recombinant SpyCEP, dem-
onstrated by a reduction in band size, however the C-terminal fragment was unable to cleave LL-37 despite a
high molar ratio of enzyme to LL-37 (1: 10) and a prolonged 16-h incubation at 37 °C (Figure S3). The results demonstrated for the first time that the SpyCEP C-terminal fragment alone is sufficient for cata-
lytic cleavage of CXCL8 in this assay system. The data also established that, although the presence of the SpyCEP
N-terminal fragment enhanced enzymatic activity, the N-terminal residue D151 was dispensable for enzymatic
activity. We further sought to examine whether the C-terminal displayed activity against the newly described
substrate, LL-3710. Western blot analysis confirmed cleavage of LL-37 by full-length recombinant SpyCEP, dem-
onstrated by a reduction in band size, however the C-terminal fragment was unable to cleave LL-37 despite a
high molar ratio of enzyme to LL-37 (1: 10) and a prolonged 16-h incubation at 37 °C (Figure S3). Differential cleavage of CXCL8 and CXCL1 by full‑length and C‑terminal SpyCEP Reactions were halted at specified timepoints by the addition of Pefabloc to a final concentration of 2 mg/ml. N = 6 experimental replicates for each construct, data points show means, error bars represent SD. ns p > 0.05, *
p ≤ 0.05, **** p ≤ 0.0001, at 60 min as determined by ordinary one-way ANOVA. Figure 2. Cleavage activity of SpyCEP and C-terminal SpyCEP245–1613 constructs using CXCL8 ELISA. SpyCEP constructs were co-incubated with 5 pmol CXCL8. Graphs show residual CXCL8 after a 60-min
room temperature incubation, using full-length SpyCEP at a 1:1000 ratio to CXCL8; the C-terminal SpyCEP
construct at a 1:5–1:250 molar ratio to CXCL8; and the C-terminalS617A mutant at a 1:5 molar ratio to CXCL8. Reactions were halted at specified timepoints by the addition of Pefabloc to a final concentration of 2 mg/ml. N = 6 experimental replicates for each construct, data points show means, error bars represent SD. ns p > 0.05, *
p ≤ 0.05, **** p ≤ 0.0001, at 60 min as determined by ordinary one-way ANOVA. After 5 min incubation full-length SpyCEP cleaved over 50% of the starting CXCL8 input, with only 6.25% of
CXCL8 remaining after 1 h. At the highest concentration of C-terminal SpyCEP tested, a 1:5 molar ratio, the
C-terminal fragment alone cleaved 9% of the starting CXCL8 by 5 min, 25% by 30 min and 42% by 60 min. Indeed, at the lowest concentration tested, a 1:250 molar ratio, the C-terminal of SpyCEP cleaved 9% of CXCL8
input by 1 h. As demonstrated by immunofluorescent western blotting, the serine residue at position 617 was
vital for SpyCEP catalytic function, as no CXCL8 cleavage was observed using the C-terminalS617A construct,
even when employed at the highest enzyme: chemokine ratio. After a 1-h incubation, full-length SpyCEP and
C-terminal constructs (assayed using a molar enzyme: chemokine ratio of 1:5, 1:25 and 1:50) cleaved significantly
more CXCL8 compared to the C-terminalS617A construct. p
SDS-PAGE analysis of the catalytic activity of the C-terminal SpyCEP construct additionally showed that
C-terminal activity was not restricted to the CXCL8 substrate. Over 2 h at 37 °C using a 1:5 molar ratio of
enzyme: substrate, the SpyCEP C-terminal construct was capable of cleaving human CXCL1 to near completion
(Figure S4). Differential cleavage of CXCL8 and CXCL1 by full‑length and C‑terminal SpyCEP f
g
y
g
py
To determine whether the catalytic activity of the C-terminal SpyCEP fragment was reproducible over a shorter
incubation period, we assessed CXCL8 cleavage by ELISA, where CXCL8 cleavage is detected through a reduction
in substrate concentration. SpyCEP C-terminal constructs were incubated with CXCL8 at molar ratios ranging
from 1:5 to 1:250 (enzyme: chemokine) over a 60-min time course at room temperature. Full-length recombinant
SpyCEP and the inactive C-terminal fragment, C-terminalS617A, were included as controls at a molar ratio of
1:1000 and 1:5, respectively. Under these conditions, near complete CXCL8 cleavage was observed for full-length
SpyCEP and a dose-dependent increase in catalytic activity was observed for the C-terminal fragment (Fig. 2). https://doi.org/10.1038/s41598-023-46036-9 Scientific Reports | (2023) 13:19052 | www.nature.com/scientificreports/ Figure 1. Cleavage activity of recombinant SpyCEP constructs assayed by immunoblot. Two colour
immunoblot showing cleavage of 18.75 pmol CXCL8 when incubated for 2 h at 37 °C either alone (2nd lane)
or with a panel of SpyCEP constructs at a 1:50 molar ratio (SpyCEP: CXCL8). Green bands represent intact
CXCL8 (anti-CXCL8 antibody); red bands represent cleaved CXCL8 (anti-ENWVQ). A 17 kDa molecular
weight marker is shown in blue, 8 kDa and 6 kDa molecular weights are highlighted by arrows. Figure has been
cropped and the original blot is presented in supplementary Fig. S6. Figure is representative of 2 independent
immunoblots. Figure 1. Cleavage activity of recombinant SpyCEP constructs assayed by immunoblot. Two colour
immunoblot showing cleavage of 18.75 pmol CXCL8 when incubated for 2 h at 37 °C either alone (2nd lane)
or with a panel of SpyCEP constructs at a 1:50 molar ratio (SpyCEP: CXCL8). Green bands represent intact
CXCL8 (anti-CXCL8 antibody); red bands represent cleaved CXCL8 (anti-ENWVQ). A 17 kDa molecular
weight marker is shown in blue, 8 kDa and 6 kDa molecular weights are highlighted by arrows. Figure has been
cropped and the original blot is presented in supplementary Fig. S6. Figure is representative of 2 independent
immunoblots. Figure 2. Cleavage activity of SpyCEP and C-terminal SpyCEP245–1613 constructs using CXCL8 ELISA. SpyCEP constructs were co-incubated with 5 pmol CXCL8. Graphs show residual CXCL8 after a 60-min
room temperature incubation, using full-length SpyCEP at a 1:1000 ratio to CXCL8; the C-terminal SpyCEP
construct at a 1:5–1:250 molar ratio to CXCL8; and the C-terminalS617A mutant at a 1:5 molar ratio to CXCL8. Differential cleavage of CXCL8 and CXCL1 by full‑length and C‑terminal SpyCEP g
To further assess the activity of SpyCEP and to interrogate reaction rates against separate chemokines, full-
length SpyCEP was incubated with CXCL1 and CXCL8 and the remaining chemokine levels determined by
ELISA. Human CXCL1 or human CXCL8 were incubated with SpyCEP at room temperature over a 30-min time
course, at 1:200 or 1:400 molar ratios respectively (enzyme: chemokine). 5 fmol of SpyCEP rapidly and efficiently
cleaved 2 pmol CXCL8, with ~ 15% of the chemokine input remaining after 10 min of incubation (Fig. 3A). This
contrasted with CXCL1 cleavage, that required 10 fmol SpyCEP to cleave just 25% of the chemokine input over
the same 10-min period. Indeed, by 30 min SpyCEP had yet to cleave half of the starting amount of CXCL1 https://doi.org/10.1038/s41598-023-46036-9 Scientific Reports | (2023) 13:19052 | www.nature.com/scientificreports/ Figure 3. Cleavage of CXCL8 and CXCL1 by recombinant full-length SpyCEP. 30-min, room temperature
cleavage time course of: (A) 2 pmol CXCL8 with 5 fmol SpyCEP and (B) 2 pmol CXCL1 with 10 fmol SpyCEP. Cleavage reactions were halted at specified timepoints by the addition of Pefabloc to a final concentration of
2 mg/ml and the remaining chemokine measured by ELISA. N = 6 experimental replicates for each data point,
error bars represent SD of mean values. Figure 3. Cleavage of CXCL8 and CXCL1 by recombinant full-length SpyCEP. 30-min, room temperature
cleavage time course of: (A) 2 pmol CXCL8 with 5 fmol SpyCEP and (B) 2 pmol CXCL1 with 10 fmol SpyCEP. Cleavage reactions were halted at specified timepoints by the addition of Pefabloc to a final concentration of
2 mg/ml and the remaining chemokine measured by ELISA. N = 6 experimental replicates for each data point,
error bars represent SD of mean values. Figure 3. Cleavage of CXCL8 and CXCL1 by recombinant full-length SpyCEP. 30-min, room temperature
cleavage time course of: (A) 2 pmol CXCL8 with 5 fmol SpyCEP and (B) 2 pmol CXCL1 with 10 fmol SpyCE
Cleavage reactions were halted at specified timepoints by the addition of Pefabloc to a final concentration of
2 mg/ml and the remaining chemokine measured by ELISA. N = 6 experimental replicates for each data poin
error bars represent SD of mean values. (Fig. 3B). Mass spectrometry‑derived kinetics of active SpyCEP constructs
d
l
h
f ll l
h
d
l To directly compare the active full-length and C-terminal SpyCEP constructs and to understand relative catalytic
efficiencies, a mass spectrometry approach to continuously assay the generation of the 13 amino acid peptide
cleaved from the native substrate CXCL8, following incubation with enzyme, was employed. A range of CXCL8
concentrations (25–2000 nM) were incubated with a fixed concentration of enzyme, either 250 pM of full-length
SpyCEP, or 40 nM of the C-terminal SpyCEP245–1613 and the production of the 13 amino acid peptide was moni-
tored over time. 250 pM full-length SpyCEP cleaved CXCL8 to near completion over 30 min when substrate
concentrations were less than 250 nM; incomplete CXCL8 cleavage was observed when substrate concentration
was in excess of 250 nM (Figure S5A). In contrast, 40 nM of the C-terminal SpyCEP245–1613 cleaved CXCL8 to near
completion over 4 h when the CXCL8 concentration was 250 nM or less; incomplete CXCL8 cleavage was again
observed when substrate concentrations were over 250 nM (Figure S5B). Under these conditions the C-terminal
SpyCEP fragment maintained measurable catalytic activity throughout, though with reduced efficacy compared
to the full-length construct. A 160-fold increase in enzyme concentration and additional 3.5 h reaction time were
required to cleave a comparable amount of CXCL8. q
p
Linear regression analyses of 5 time points, where the rate of cleaved CXCL8 production was linear, were used
to derive Michaelis-Menton plots (Fig. 4) and KM and Kcat values for each construct (Table 2). KM values for full-length SpyCEP and the C-terminal fragment were 82 nM and 55 nM respectively, suggesting
nanomolar affinity of the SpyCEP constructs for CXCL8. The similarity in the KM values between the C-terminal
SpyCEP fragment and the full-length enzyme point to a similar ability to bind substrate. The Kcat values (indica-
tive of the number of molecules of cleaved CXCL8 produced per second) however, differed substantially. The Figure 4. Kinetic activity of full-length and C-terminal SpyCEP construct cleavage of CXCL8. Data points
represent the mean change in cleaved CXCL8 production over time (M s-1) of, (A) Full-length SpyCEP and (B)
C-terminal SpyCEP. Error bars represent the standard error of the mean of 5 reactions. Figure 4. Kinetic activity of full-length and C-terminal SpyCEP construct cleavage of CXCL8. Data points
represent the mean change in cleaved CXCL8 production over time (M s-1) of, (A) Full-length SpyCEP and (B)
C-terminal SpyCEP. Differential cleavage of CXCL8 and CXCL1 by full‑length and C‑terminal SpyCEP Utilising a linear regression of the initial 5 timepoints, where SpyCEP activity is maximal, we found
that 5 fmol of SpyCEP was able to cleave 284 fmol of CXCL8 per minute, and 10 fmol of SpyCEP was capable of
cleaving 62 fmol of CXCL1 per minute. These data confirmed the activity of recombinant SpyCEP and highlighted
differential cleavage efficiency across the CXC substrate range—a feature which has been previously recognised
but not quantified9. (Fig. 3B). Utilising a linear regression of the initial 5 timepoints, where SpyCEP activity is maximal, we found
that 5 fmol of SpyCEP was able to cleave 284 fmol of CXCL8 per minute, and 10 fmol of SpyCEP was capable of
cleaving 62 fmol of CXCL1 per minute. These data confirmed the activity of recombinant SpyCEP and highlighted
differential cleavage efficiency across the CXC substrate range—a feature which has been previously recognised
but not quantified9. Discussion SpyCEP is a serine protease and a leading virulence factor of S. pyogenes, with a narrow range of substrate specific-
ity, restricted to the family of ELR+ CXC chemokines which modulate neutrophil mediated immune responses4,5,9
and LL-3710. Autocatalytic processing of SpyCEP results in the generation of two individual fragments that re-
assemble to form an active enzyme7. Here, we describe the enzyme kinetics of full-length SpyCEP and report
the KM of the enzyme for its natural substrate to be remarkably low, just 82 nM, consistent with high efficiency. Furthermore, we demonstrate that the C-terminal SpyCEP fragment can catalyse the cleavage of CXCL1 and
CXCL8 independent of the N-terminal fragment. Indeed, when KM values were compared, they were found to be
similar, suggesting that substrate binding may be confined to the C-terminal domain of SpyCEP. The enzymatic
activity of the C-terminal SpyCEP fragment was, however, markedly reduced compared to full-length SpyCEP. When assessed by immunoblot, the N-terminal and N-terminalD151A constructs were equally able to restore full
catalytic activity of the C-terminal SpyCEP fragment. Collectively, this suggests that although the aspartate 151
of the N-terminal fragment may be dispensable for catalysis, the domain itself is important for optimal enzyme
activity. Serine proteases are ubiquitous and comprise up to one third of all proteolytic enzymes currently described. They are currently categorised by the MEROPS database24 into 13 distinct clans, being differentiated into groups
of proteins based on their evolution from the same common ancestor, with SpyCEP belonging to the S8 family
of the SB clan. S8 serine proteases are typified by a classical catalytic triad composed of serine, histidine and
aspartic acid residues that together contribute to the hydrolysis of a peptide bond within the substrate. It is
recognised that a number of serine protease clans employ a variation on the S8 catalytic triad, utilising instead
a triad of serine, histidine, and glutamic acid, or serine, glutamic acid, and aspartic acid residues. Other clans
utilise catalytic dyads of lysine and histidine or histidine and serine for proteolytic activity. Our data suggest
that SpyCEP activity can reside in a catalytic dyad of histidine and serine, albeit at a greatly reduced efficacy. It
is likely this large gulf in efficiency explains the failure of previous studies to detect catalytic activity within the
isolated C-terminal SpyCEP fragment7. py
g
Within serine proteases there are additional features, beyond the catalytic triad residues, which can contribute
to activity. Discussion The oxyanion hole for example, a pocket in the active site composed of backbone amide NH groups,
may provide substrate stabilisation and help drive catalysis25. Additional residues located in close proximity
to the catalytic pocket can also mitigate a loss of activity resulting from a missing residue, and water also has
the potential to moonlight as a missing functional group25. These ‘stand ins’ can provide a possible substitute
machinery to help drive catalytic function. Indeed, some studies have shown that, even with all three catalytic
triad residues removed, serine proteases are still capable of catalysis at rates 1000-fold greater than the back-
ground rate of hydrolysis25–27. g
y
y
Mass spectrometry-based kinetics showed that recombinant full-length active SpyCEP has a KM of 82 nM
and Kcat of 1.65 molecules per second; values which are in agreement with our initial ELISA-based kinetic
assessment12 and values obtained from native S. pyogenes SpyCEP, KM 101 nM, Kcat 3.19 molecules per second
(not shown). In contrast, the C-terminal fragment of SpyCEP has a KM of 55 nM and Kcat of 0.00075 molecules
per second. These constructs both demonstrated low, nanomolar KM values, suggesting a high binding efficiency
of SpyCEP for its natural substrate CXCL8, likely conferred by the C-terminal domain. This is in keeping with
the fact that low nanomolar concentrations of CXCL8 are optimal for neutrophil recruitment9. Although KM
values are often reported in the µM – mM range, nanomolar KM values are not without precedent for other serine
proteases; human kallikrein 6 has a reported KM of 300 nM and Factor Xa, a constituent of the prothrombinase
complex, has a KM of 150 nM for prothrombin28,29. Enzyme specificity, a constant which measures the cleavage
efficiency of enzymes, (Kcat /KM ), for full-length SpyCEP was estimated to be 2.02 × 107 M-1 s-1, a value in the
order of magnitude typical for serine proteases25. The specificity constant of the C-terminal fragment was ~ 1500-
fold less, 1.36 × 104 M-1 s-1, and Kcat 2200-fold less, a reduction that is in line with previously reported aspartic
acid mutants from a systematic mutational study of the Bacillus amyloliquefaciens subtilisin catalytic triad27. Mass spectrometry‑derived kinetics of active SpyCEP constructs
d
l
h
f ll l
h
d
l Error bars represent the standard error of the mean of 5 reactions. Scientific Reports | (2023) 13:19052 | https://doi.org/10.1038/s41598-023-46036-9 www.nature.com/scientificreports/ Construct
Kcat ± SEM (s-1)
KM ± SEM (nM)
Vmax ± SEM (M s-1)
Kcat/KM (M-1 s-1)
Full-length
1.65 ± 0.13
82 ± 26
4.14 × 10–10 ± 3.35 × 10–11
2.02 × 107
C-terminal
0.00075 ± 0.00005
55 ± 17
3.00 × 10–11 ± 2.17 × 10–12
1.36 × 104 Table 2. Kinetic parameters of full-length and C-terminal SpyCEP construct activity in cleavage of
CXCL8. Kcat, KM and Vmax ± SEM and Kcat/KM for full-length SpyCEP and C-terminal SpyCEP derived from
Michaelis-Menton graphs Y = Vmax*X/(KM + X) and Kcat equation Y = ET*kcat*X/(KM + X) where Et = enzyme
concentration, 2.5 × 10–10 M for full-length SpyCEP and 4 × × 10–8 M for C-terminal SpyCEP. Table 2. Kinetic parameters of full-length and C-terminal SpyCEP construct activity in cleavage of
CXCL8. Kcat, KM and Vmax ± SEM and Kcat/KM for full-length SpyCEP and C-terminal SpyCEP derived from
Michaelis-Menton graphs Y = Vmax*X/(KM + X) and Kcat equation Y = ET*kcat*X/(KM + X) where Et = enzyme
concentration, 2.5 × 10–10 M for full-length SpyCEP and 4 × × 10–8 M for C-terminal SpyCEP. Table 2. Kinetic parameters of full-length and C-terminal SpyCEP construct activity in cleavage of
CXCL8. Kcat, KM and Vmax ± SEM and Kcat/KM for full-length SpyCEP and C-terminal SpyCEP derived from
Michaelis-Menton graphs Y = Vmax*X/(KM + X) and Kcat equation Y = ET*kcat*X/(KM + X) where Et = enzyme
concentration, 2.5 × 10–10 M for full-length SpyCEP and 4 × × 10–8 M for C-terminal SpyCEP. full-length enzyme cleaved 1.65 molecules of CXCL8 per second compared to the C-terminal construct which
cleaved 2.7 molecules per hour, a 2200-fold reduction in activity. ull-length enzyme cleaved 1.65 molecules of CXCL8 per second compared to the C-terminal construct which
leaved 2.7 molecules per hour, a 2200-fold reduction in activity. www.nature.com/scientificreports/ structural contribution to enzyme activity. Our data strongly suggest that substrate binding is likely to be attrib-
uted to the C-terminal fragment, a finding consistent with related cell envelope proteinases of Lactococci13 and
the closely related streptococcal protein, C5a peptidase30.hi The implications of our findings relating to activity of the C-terminal SpyCEP fragment in S. pyogenes patho-
genesis are currently unclear; without the N-terminus, the enzymatic activity detected may be too low to be
of consequence for chemokine cleavage in vivo, and in nature both N- and C-terminal fragments are likely to
co-exist. SpyCEP has been a focus of S. pyogenes vaccine development since 200631, used either in isolation or
combination with other antigenic targets12,15,17,18,32. Vaccine-induced SpyCEP specific antibodies appear not to
act through traditional opsonic means14 and so may act through inhibition of SpyCEP activity. Many vaccine
preparations evaluated have been based on ‘CEP5’; a polypeptide spanning residues 35–587 of SpyCEP which
contains the N-terminal fragment and only part of the C terminal fragment19. Our findings relating to enzyme
function suggest that antibodies targeting the C-terminal fragment of SpyCEP are more likely to provide greater
neutralizing activity, and potentially improve vaccine efficacy. References Cell 91(3), 385–395 (1997). 8. Middleton, J. et al. Transcytosis and surface presentation of IL-8 by venular endothelial cells. Cell 91(3), 385–395 (1997). 9. Goldblatt, J. et al. A requirement for neutrophil glycosaminoglycans in chemokine: Receptor interactions is revealed by the Strep
tococcal protease SpyCEP. J. Immunol. 202(11), 3246–3255 (2019). 10. Biswas, D. et al. LL-37-mediated activation of host receptors is critical for defense against group A Streptococcal infection. Cell
Rep. 34(9), 108766 (2021). 10. Biswas, D. et al. LL-37-mediated activation of host receptors is critical for defense against group A Streptococcal infection. Cell
Rep. 34(9), 108766 (2021). p
11. Jobichen, C. et al. Structure of ScpC, a virulence protease from Streptococcus pyogenes, reveals the functional domains and
maturation mechanism. Biochem. J. 475(17), 2847–2860 (2018). 2. McKenna, S. et al. Structure, dynamics and immunogenicity of a catalytically inactive CXC chemokine-degrading protease SpyCEP
from Streptococcus pyogenes. Comput. Struct. Biotechnol. J. 18, 650–660 (2020). coccus pyogenes. Comput. Struct. Biotechnol. J. 18, 650–660 (2020 p
py g
p
13. Siezen, R. J. Multi-domain, cell-envelope proteinases of lactic acid bacteria. Antonie Van Leeuwenhoek 76(1–4), 139–155 (1999). y g
p
13. Siezen, R. J. Multi-domain, cell-envelope proteinases of lactic acid bacteria. Antonie Van Leeuwenhoek 76(1–4), 139–155 (1999). 14 Rivera Hernandez T et al An experimental group A Streptococcus vaccine that reduces pharyngitis and tonsillitis in a nonhuman 13. Siezen, R. J. Multi-domain, cell-envelope proteinases of lactic acid bacteria. Antonie Van Leeuwenhoek 76(1–4), 139–155 (1999). 14. Rivera-Hernandez, T. et al. An experimental group A Streptococcus vaccine that reduces pharyngitis and tonsillitis in a nonhuman
i
d l MBi 10(2) 10 1128 (2019) . Multi-domain, cell-envelope proteinases of lactic acid bacteria. A
d
l
l
h . Siezen, R. J. Multi-domain, cell-envelope proteinases of lactic ac 3. Siezen, R. J. Multi domain, cell envelope proteinases of lactic acid bacteria. Antonie Van Leeuwenhoek 76(1 4), 139 155 (1999). 4. Rivera-Hernandez, T. et al. An experimental group A Streptococcus vaccine that reduces pharyngitis and tonsillitis in a nonhuman
primate model. MBio 10(2), 10–1128 (2019).i p
5. Bensi, G. et al. Multi high-throughput approach for highly selective identification of vaccine candidates: the Group A Streptococcus
case. Mol. Cell Proteomics 11(6), M111.015693 (2012). 16. Pandey, M. et al. A synthetic M protein peptide synergizes with a CXC chemokine protease to induce vaccine-mediated protection
against virulent streptococcal pyoderma and bacteremia. J. Immunol. 194(12), 5915–5925 (2015). 7. Pandey, M. et al. References References
1. Carapetis, J. R. et al. The global burden of group A Streptococcal diseases. Lancet Infect. Dis. 5(11), 685–694 (2005). ph
g
g
p
p
f
2. Craik, N., et al. Global disease burden of Streptococcus pyogenes, in Streptococcus Pyogenes: Basic Biology to Clinical Manifestations,
(eds Ferretti, J.J., Stevens, D.L., & Fischetti, V.A.) University of Oklahoma Health Sciences Center© The University of Oklahoma
Health Sciences Center.: Oklahoma City (OK) (2022). 2. Craik, N., et al. Global disease burden of Streptococcus pyogenes, in Streptococcus Pyogenes: Basic Biology to Clinical Manifestations,
(eds Ferretti, J.J., Stevens, D.L., & Fischetti, V.A.) University of Oklahoma Health Sciences Center© The University of Oklahoma
Health Sciences Center.: Oklahoma City (OK) (2022). y (
) (
)
3. Ralph, A. P. & Carapetis, J. R. Group a streptococcal diseases and their global burden. Curr. Top. Microbiol. Immunol. 368, 1–27
(2013).i y (
) (
)
3. Ralph, A. P. & Carapetis, J. R. Group a streptococcal diseases and their global burden. Curr. Top. Microbiol. Immunol. 368, 1–27
(2013).i 3. Ralph, A. P. & Carapetis, J. R. Group a streptococcal diseases and their global burden. Curr. Top. Microbiol. Immunol. 368, 1–27
(2013). 4. Edwards, R. J. et al. Specific C-terminal cleavage and inactivation of interleukin-8 by invasive disease isolates of Streptococcus 4. Edwards, R. J. et al. Specific C-terminal cleavage and inactivation of interleukin-8 by invasive disease isolates of Streptococcus
pyogenes. J. Infect. Dis. 192(5), 783–790 (2005).fi py g
f
5. Kurupati, P. et al. Chemokine-cleaving Streptococcus pyogenes protease SpyCEP is necessary and sufficient for bacterial dissemi-
nation within soft tissues and the respiratory tract. Mol. Microbiol. 76(6), 1387–1397 (2010). 5. Kurupati, P. et al. Chemokine-cleaving Streptococcus pyogenes protease SpyCEP is necessary and sufficient for bacterial dissemi-
nation within soft tissues and the respiratory tract. Mol. Microbiol. 76(6), 1387–1397 (2010). t
p
y
6. Turner, C. E. et al. Emerging role of the interleukin-8 cleaving enzyme SpyCEP in clinical Streptococcus pyogenes infection. J. Infect. Dis. 200(4), 555–563 (2009). t
p
y
6. Turner, C. E. et al. Emerging role of the interleukin-8 cleaving enzyme SpyCEP in clinical Streptococcus pyogenes infection. J
Infect. Dis. 200(4), 555–563 (2009). f
7. Zingaretti, C. et al. Streptococcus pyogenes SpyCEP: a chemokine-inactivating protease with unique structural and biochemica
features. Faseb J. 24(8), 2839–2848 (2010). ( )
(
)
8. Middleton, J. et al. Transcytosis and surface presentation of IL-8 by venular endothelial cells. Data availability y
All data generated or analysed during this study are included in this published article and its supplementary
information files. The datasets used and/or analysed during the current study are available from the correspond-
ing auther on reasonable request. Received: 1 August 2023; Accepted: 26 October 2023 Received: 1 August 2023; Accepted: 26 October 2023 Discussion The development of an MS-based assay of SpyCEP activity, that is not dependent on western blotting or ELISA,
provides potential for future high-throughput analysis of SpyCEP activity and detection of SpyCEP inhibitors.h The kinetic assays attributed a marked increase in CXCL8 turnover to the additional presence of the N-ter-
minal fragment. Although we did not specifically evaluate the role of the aspartate residue at position 151 on the
kinetics of SpyCEP activity, this residue did not contribute appreciably to cleavage of CXCL8 when evaluated
using immunoblotting. This raises a question as to whether the N-terminal fragment confers some additional https://doi.org/10.1038/s41598-023-46036-9 Scientific Reports | (2023) 13:19052 | www.nature.com/scientificreports/ www.nature.com/scientificreports/ www.nature.com/scientificreports/ 29. Luettgen, J. M. et al. Apixaban inhibition of factor Xa: Microscopic rate constants and inhibition mechanism in purified protein
systems and in human plasma. J. Enzyme Inhib. Med. Chem. 26(4), 514–526 (2011). 29. Luettgen, J. M. et al. Apixaban inhibition of factor Xa: Microscopic rate constants and inhibition mechanism in purified protein
systems and in human plasma. J. Enzyme Inhib. Med. Chem. 26(4), 514–526 (2011). 29. Luettgen, J. M. et al. Apixaban inhibition of factor Xa: Microscopic rate constants and inhibition mechanism in purified protein
systems and in human plasma. J. Enzyme Inhib. Med. Chem. 26(4), 514–526 (2011). l
d l f
b
d
f
l
f y
p
y
0. Kagawa, T. F. et al. Model for substrate interactions in C5a peptidase from Streptococcus pyogenes: A 1.9 A crystal structure o
the active form of ScpA. J. Mol. Biol. 386(3), 754–772 (2009).i p
J
( ),
(
)
31. Rodriguez-Ortega, M. J. et al. Characterization and identification of vaccine candidate proteins through analysis of the group A
Streptococcus surface proteome. Nat. Biotechnol. 24(2), 191–197 (2006). p
J
( )
(
)
1. Rodriguez-Ortega, M. J. et al. Characterization and identification of vaccine candidate proteins through analysis of the group A
Streptococcus surface proteome. Nat. Biotechnol. 24(2), 191–197 (2006). p
p
2. Reglinski, M. et al. Development of a multicomponent vaccine for Streptococcus pyogenes based on the antigenic targets of IVIG
J. Infect. 72(4), 450–459 (2016). 32. Reglinski, M. et al. Development of a multicomponent vaccine for Streptococcus pyogenes based on the antigenic targets of IVIG. J. Infect. 72(4), 450–459 (2016). 32. Reglinski, M. et al. Development of a multicomponent vaccine for Streptococcus pyogenes based on the antigenic targets of IVIG. J. Infect. 72(4), 450–459 (2016). Acknowledgementsh g
The authors are grateful for the support of a GSK Golden Triangle Discovery Partnership in Academia Collabora-
tion (DPAC) that permitted development of the mass spectrometry high throughput cleavage assay and reagent
provision. SS acknowledges the Imperial College London NIHR Biomedical Research Centre. Fundingh Funding
This work was funded by a Biotechnology and Biological Sciences Research Council (BBSRC) NPIF iCASE
studentship and a Wellcome Trust Collaborative award 215539: ‘Understanding and exploiting Group A strep-
tococcal anti-chemotactic proteases in vaccines for infection’. Author contributions M.P., C.H., A.F., D.M., J.P. and S.S. designed the study. M.P., C.H., M.R., R.A.L., J.B., E.J.J. and L.R. collected
the data. M.P. and C.H. analysed the data. M.P., C.H., A.F., D.M., R.J.E., J.P. and S.S. interpreted the data. M.P. collected and prepared the figures. M.P., M.R., J.P. and S.S. drafted the manuscript. All authors revised the
manuscript content. References Combinatorial synthetic peptide vaccine strategy protects against hypervirulent CovR/S mutant Streptococci. J
Immunol. 196(8), 3364–3374 (2016).ffi 8. Rivera-Hernandez, T. et al. Differing efficacies of lead group A Streptococcal vaccine candidates and full-length m protein in
cutaneous and invasive disease models. MBio 7(3), 10–1128 (2016). 9. Turner, C. E. et al. Impact of immunization against SpyCEP during invasive disease with two streptococcal species: Streptococcus
pyogenes and Streptococcus equi. Vaccine 27(36), 4923–4929 (2009).h y g
q
0. Kaur, S. J. et al. The CXC chemokine-degrading protease SpyCep of Streptococcus pyogenes promotes its uptake into endothelia
cells. J. Biol. Chem. 285(36), 27798–27805 (2010).if 21. Abate, F. et al. Cloning, expression, purification, crystallization and preliminary X-ray diffraction analysis of SpyCEP, a candidate
antigen for a vaccine against Streptococcus pyogenes. Acta Crystallogr. Sect. F Struct. Biol. Cryst. Commun. 69(Pt 10), 1103–1106
(2013). 22. Lynskey, N. N. et al. RocA truncation underpins hyper-encapsulation, carriage longevity and transmissibility of serotype M18
group A Streptococci. PLOS Pathogens 9(12), e1003842 (2013). g
p
p
g
3. Edwards, R. J. et al. C-terminal antibodies (CTAbs): a simple and broadly applicable approach for the rapid generation of protein-
specific antibodies with predefined specificity. Proteomics 7(9), 1364–1372 (2007). specific antibodies with predefined specificity. Proteomics 7(9), 1364 1372 (2007). 24. Rawlings, N. D., Barrett, A. J. & Bateman, A. MEROPS: the database of proteolytic enzymes, their substrates and inhibitors. Nucl. Acids Res 40(Database issue) D343–D350 (2012) pi
pi
pi
y
24. Rawlings, N. D., Barrett, A. J. & Bateman, A. MEROPS: the database of proteolytic enzymes, their substrates and inhibitors. Nucl. Acids Res. 40(Database issue), D343–D350 (2012). d
h
d
fi
h
(
)
(
) 25. Hedstrom, L. Serine protease mechanism and specificity. Chem. Rev. 102(12), 4501–4524 (2002). i
26. Corey, D. R. & Craik, C. S. An investigation into the minimum requirements for peptide hydrolysis by mutation of the catalytic
triad of trypsin. J. Am. Chem. Soc. 114(5), 1784–1790 (1992). 27 P
l C & J
A W Di
ti
th
t l ti t i d f
i
t
N t
332(6164) 564 (1988) yp
27. Paul, C. & James, A. W. Dissecting the catalytic triad of a serine protease. Nature 332(6164), 564 (1988).if g
y
28. Angelo, P. F. et al. Substrate specificity of human kallikrein 6: Salt and glycosaminoglycan activation effects. J. Biol. Chem. 281(6),
3116–3126 (2006). https://doi.org/10.1038/s41598-023-46036-9 Scientific Reports | (2023) 13:19052 | Competing interests p
g
Co-authors Carl Haslam, Andrew Fosberry, Emma J Jones and Danuta Mossakowska were employed by Glaxo-
SmithKline R&D at the time this work was conducted. All other authors declare no conflict of interest. © The Author(s) 2023 Additional informationh Additional information
Supplementary Information The online version contains supplementary material available at https://doi.org/
10.1038/s41598-023-46036-9. Correspondence and requests for materials should be addressed to J.E.P. or S.S. Correspondence and requests for materials should be addressed to J.E.P. or S.S. Reprints and permissions information is available at www.nature.com/reprints. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and
nstitutional affiliations. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and
institutional affiliations. Open Access This article is licensed under a Creative Commons Attribution 4.0 International
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the
Creative Commons licence, and indicate if changes were made. The images or other third party material in this
article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2023 https://doi.org/10.1038/s41598-023-46036-9 Scientific Reports | (2023) 13:19052 |
|
https://openalex.org/W4284880659
|
https://research.rug.nl/files/235154237/s12888_022_04098_5.pdf
|
English
| null |
“I lost so much more than my partner” – Bereaved partners’ grief experiences following suicide or physician-assisted dying in case of a mental disorder
|
BMC psychiatry
| 2,022
|
cc-by
| 10,609
|
University of Groningen
“I lost so much more than my partner” – Bereaved partners’ grief experiences following
suicide or physician-assisted dying in case of a mental disorder
Snijdewind, M. C.; de Keijser, J.; Casteelen, G.; Boelen, P. A.; Smid, G. E. University of Groningen
“I lost so much more than my partner” – Bereaved partners’ grief experiences following
suicide or physician-assisted dying in case of a mental disorder
Snijdewind, M. C.; de Keijser, J.; Casteelen, G.; Boelen, P. A.; Smid, G. E. Abstract Background: There is a lack of existing research on grief following the intentional death of people suffering from a
mental disorder. Our study aims to provide insight into grief experiences and social reactions of bereaved persons
who lost their life partners, who were suffering from a mental disorder, to physician-assisted dying (PAD) or suicide. Methods: For this mixed-methods research, we conducted a survey and in-depth interviews with 27 persons living
in the Netherlands and bereaved by the death of their life partners. The deceased life partners suffered from a mental
disorder and had died by physician-assisted dying (n = 12) or suicide (n = 15). Interviews explored grief experiences
and social reactions. In the survey we compared self-reported grief reactions of partners bereaved by suicide and PAD
using the Grief Experience Questionnaire. Results: Compared to suicide, physician-assisted dying was associated with less severe grief experiences of the
bereaved partners. Participants reported that others rarely understood the suffering of their deceased partners
and sometimes expected them to justify their partners’ death. Following physician-assisted dying, the fact that the
partner’s euthanasia request was granted, helped others understand that the deceased person’s mental suffering had
been unbearable and irremediable. Whereas, following suicide, the involvement of the bereaved partners was some-
times the focus of judicial inquiry, especially, if the partner had been present during the death. Conclusion: When individuals suffering from a mental disorder die by suicide or PAD, their bereaved partners may
experience a lack of understanding from others. Although both ways of dying are considered unnatural, their impli-
cations for bereaved partners vary considerably. We propose looking beyond the dichotomy of PAD versus suicide
when studying grief following the intentional death of people suffering from a mental disorder, and considering other
important aspects, such as expectedness of the death, suffering during it, and partners’ presence during the death. Keywords: Grief, Suicide, Physician-assisted dying, Mental health, Death taboo © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco
mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. “I lost so much more than my partner”
– Bereaved partners’ grief experiences
following suicide or physician‑assisted dying
in case of a mental disorder M. C. Snijdewind1,2, J. de Keijser3, G. Casteelen4, P. A. Boelen1,5,6 and G. E. Smid1,5,7* *Correspondence: g.smid@arq.org 7 Department of Humanistic Chaplaincy Studies, University of Humanistic
Studies, Kromme Nieuwegracht 29, 3512, HD, Utrecht, the Netherlands
Full list of author information is available at the end of the article University of Groningen
“I lost so much more than my partner” – Bereaved partners’ grief experiences following
suicide or physician-assisted dying in case of a mental disorder
Snijdewind, M. C.; de Keijser, J.; Casteelen, G.; Boelen, P. A.; Smid, G. E. University of Groningen “I lost so much more than my partner” – Bereaved partners’ grief experiences following
suicide or physician-assisted dying in case of a mental disorder
Snijdewind, M. C.; de Keijser, J.; Casteelen, G.; Boelen, P. A.; Smid, G. E. “I lost so much more than my partner” – Bereaved partners’ grief experiences following
suicide or physician-assisted dying in case of a mental disorder
Snijdewind, M. C.; de Keijser, J.; Casteelen, G.; Boelen, P. A.; Smid, G. E. Snijdewind, M. C.; de Keijser, J.; Casteelen, G.; Boelen, P. A.; Smid, G. E. DOI:
10.1186/s12888-022-04098-5 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from
it. Please check the document version below. Document Version
Publisher's PDF, also known as Version of record Publication date:
2022 Link to publication in University of Groningen/UMCG research database Citation for published version (APA):
Snijdewind, M. C., de Keijser, J., Casteelen, G., Boelen, P. A., & Smid, G. E. (2022). “I lost so much more
than my partner” – Bereaved partners’ grief experiences following suicide or physician-assisted dying in
case of a mental disorder. BMC Psychiatry, 22(1), Article 454. https://doi.org/10.1186/s12888-022-04098-5 Copyright
Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the
author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). The publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: https://www.rug.nl/library/open-access/self-archiving-pure/taverne-
amendment. Take-down policy
If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately
and investigate your claim. Take-down policy
If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately
and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the
number of authors shown on this cover page is limited to 10 maximum. Snijdewind et al. BMC Psychiatry (2022) 22:454
https://doi.org/10.1186/s12888-022-04098-5 Background Grief, following the loss of a loved one, is influenced by
multiple factors, including the circumstances of the death
and the bereaved person’s involvement in it [1]. Death
from unnatural causes, e.g., suicide, is associated with
more severe and prolonged grief compared to that from
natural causes [2]. Previous research including people © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco
mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Snijdewind et al. BMC Psychiatry (2022) 22:454 Page 2 of 13 of isolation and fear of social stigma [16–19]. However,
if they knew that the passing was an autonomous choice,
they could accept the death and showed less symptoms
of grief and posttraumatic stress disorder [16–19]. How-
ever, research on the impact of PAD on the mental health
of bereaved relatives is scarce. Moreover, to the best of
our knowledge, no former study focused specifically on
grief following PAD in the case of a mental disorder. Therefore, we aimed to provide insight into the experi-
ence of losing a partner to PAD or suicide in case of a
mental disorder. For this, we used mixed methods to con-
duct an exploratory qualitative semi-structured in-depth
interview study combined with a comparative quantita-
tive survey. We hypothesized that the experience of grief
would differ between partners of people dying from sui-
cide and PAD and that intensity of grief would be higher
in case of suicide. bereaved by suicide indicated that feelings of responsi-
bility, guilt, and rejection, and experiencing stigma are
common [2–4]. Grief is more severe in people bereaved
by suicide than those by other forms of sudden death [4]. by suicide than those by other forms of sudden death [4]. Worldwide, around 1.3% of all deaths are caused by sui-
cide [5]. Methodsh This research was performed in accordance with relevant
guidelines and regulations. We consulted the Medical
Ethics Research Committee Utrecht (protocol number
19/596), who exempted the study from formal review
because the Medical Research Involving Human Subjects
Act (WMO) does not apply to the study. Each participant
provided written informed consent before enrolling in
the study. In the Netherlands, 1.1% of deaths were caused
by suicide in 2020 [6] and in 56.8% of such deaths, sui-
cide was motivated by a mental disorder [7]. Worldwide,
mental disorders account for a majority of suicides. A
meta-analysis regarding psychological autopsies of peo-
ple who committed suicide showed that 87.3% of these
people had mental disorders [8]. However, a review of
psychological autopsy studies found that between 5.5%
and 66.7% of suicides occurred in the apparent absence
of a mental health condition [9]. In line with the Dutch
statistics, the 2018 US Surveillance for Violent Deaths
[10] reported that circumstances were identified in 88.3%
of suicides, and among them mental health problem was
the most common circumstance, with 49.7% of decedents
having had a diagnosed mental health problem. Unlike
other forms of unnatural death – for example, accident,
natural disaster, terrorism – suicide is to some extent
intentional and takes perseverance to complete. Death of
a loved one by suicide may be anticipated to some degree,
based on previous suicide attempts or conversations, as
illustrated by studies on people receiving de-medical-
ized assistance in suicide [11], e.g., people passing away
through self-ingesting self-collected lethal medication. Previous research indicates that when the bereaved antic-
ipate the suicide and understand the reasons behind it,
they search less for explanations and have less preoccu-
pation with it [12]. Suicide may be further divided into
violent, i.e., mutilating (e.g., strangulation or high impact
collision) or non-violent, i.e., non-mutilating (e.g., physi-
cian-assisted dying (PAD), drug overdose, ingestion of a
deadly substance, helium inhalation). Violent deaths are
more likely to generate distressing intrusive memories in
the bereaved than nonviolent deaths [13]. Recruitment and selection
Th
l
f a letter was sent informing them about the research,
including a response card, which could be sent to the
researchers to indicate willingness to participate. One
reminder was sent. Twenty-one potential participants
were informed and ten positive responses were received;
all met the inclusion criteria. Next, we used social media
to recruit participants. An invitation was placed on the
website of ARQ Centrum’45 and the University for
Humanistic Studies, the Netherlands. In addition, 113
Zelfmoordpreventie (113 Suicide Prevention) tweeted
about the research. Moreover, during a symposium for
people bereaved through suicide, held on December 11th
2020, the attendees were informed about the research
and the possibility to participate. A newsletter of the
Vrienden van Expertisecentrum Euthanasie contained
information about the research and a call to participate. Through all these, 24 people responded, of which ten
were eligible. We also used snowball sampling to recruit
participants, by sending out flyers about the research in
our professional network and actively asking people if
they knew someone who would be eligible to participate. Thus, nine people responded, of which seven met the
inclusion criteria. a letter was sent informing them about the research,
including a response card, which could be sent to the
researchers to indicate willingness to participate. One
reminder was sent. Twenty-one potential participants
were informed and ten positive responses were received;
all met the inclusion criteria. Next, we used social media
to recruit participants. An invitation was placed on the
website of ARQ Centrum’45 and the University for
Humanistic Studies, the Netherlands. In addition, 113
Zelfmoordpreventie (113 Suicide Prevention) tweeted
about the research. Moreover, during a symposium for
people bereaved through suicide, held on December 11th
2020, the attendees were informed about the research
and the possibility to participate. A newsletter of the
Vrienden van Expertisecentrum Euthanasie contained
information about the research and a call to participate. Through all these, 24 people responded, of which ten
were eligible. We also used snowball sampling to recruit
participants, by sending out flyers about the research in
our professional network and actively asking people if
they knew someone who would be eligible to participate. Thus, nine people responded, of which seven met the
inclusion criteria. The interviews were conducted by a researcher with
extensive experience in this. Since the interviews were
semi-structured, a topic list was used (Table 1). Statistical Analyses
A
l
f Analyses were performed using SPSS version 27 for Win-
dows. Missing scale item responses were present in a
mean of 0.5% of responses per case (range, 0 to 3.6%) and
were handled using mean imputation. Prior to the final
analyses, we checked normality by verifying that none
of the variables had skewness or kurtosis values smaller
than -3 or larger than 3. Descriptive analyses of the sam-
ple included frequencies and percentages for binary and
categorical variables, respectively, and means and stand-
ard deviations for continuous variables. Chi-square tests
and independent t-tests were conducted to examine
sociodemographic and mental health related differences
between the participants bereaved by PAD and suicide
of their partners. Fisher’s exact tests were performed in
addition to chi-square tests if expected counts were < 5
(since the significance levels did not differ, they were not
reported separately). For multiple regression analyses,
binary variables were dummy coded as follows: yes=1,
no=0. Regression analyses evaluated the impact of the
mode of partner’s death and time since death on men-
tal health related variables, with and without adjustment
for the effects of other loss-related variables, specifically,
being present during the partner’s death and violent
mode of partner’s suicide. For this, independent variables
were entered into the regression in two steps, and the sig-
nificance of the R2 change was calculated for the second
step. Visual inspection of residual plots confirmed homo-
scedasticity. There was no evidence of multicollinearity,
as indicated by tolerance values > 0.25. Alpha level was
set at .05 for statistical significance. Study designh The study combined a quantitative survey with a quali-
tative interview. After receiving contact information
of people willing to participate, a researcher called or
emailed to check if they met the inclusion criteria and
if so, appointments were made for the interviews. Two
weeks prior to the interview, the respondent received the
survey questionnaire by mail. The survey contained back-
ground and loss-related questions, the Grief Experiences
Questionnaire, and a list of potential stressful life events,
experienced after the loss of the partner. p
p
The Grief Experience Questionnaire (GEQ) [21] was
used to measure grief reactions. The GEQ is designed to
measure two types of grief: 1) expected in any bereave-
ment, 2) specific to suicide. The original 55-item GEQ
[21] has been psychometrically evaluated in several stud-
ies [12, 22–24]. Kõlves et al. [23] performed confirmatory
factor analysis [23] to evaluate the original GEQ 11 sub-
scale structure proposed by Barrett and Scott [21] and
found that eight original subscales had good reliability. We used these eight validated subscales assessing somatic
reactions, search for explanation, loss of support, stigma-
tization, guilt, responsibility, shame, and rejection, each
consisting of five items [23]. Items were rated on 5-point
Likert scales (1 = never to 5 = almost always), with total
scores ranging between 5 and 25. We used the translation
by Wojtkowiak et al. [12]. Earlier studies established sat-
isfactory internal [12, 22] and test-retest reliability [24]. Recruitment and selection
Th
l
f The inclusion criteria for the participants were: (1) loss
of a life partner to PAD or suicide in case of a mental dis-
order for which the decedent received treatment, or had
been on a waiting list, for at least two years; (2) time since
the loss was between six months and 10 years. The required number of study participants was guided
by the expected number of interviews needed to reach
qualitative data saturation. Given the heterogeneity in our
study population, we anticipated a larger sample would
be needed to achieve this [20]. Since we also wanted to
conduct quantitative comparative analyses, we aimed to
include at least ten participants each in bereaved by PAD
and ten bereaved by suicide of their partners. Partici-
pants were recruited through Expertisecentrum Eutha-
nasie (EE, Euthanasia Expertise Centre, the Netherlands). While PAD related to a mental disorder is still rare, most
of these cases are performed by physicians working for
EE – in 2021 a total of 115 cases of PAD based on mental
disorders were reported, of which 83 by physicians work-
ing for EE [15].h Suicide, however, is not the only cause of death which
depends on an intentional act by the person who dies;
this is also the case in PAD. In this case, the death of the
patient can be anticipated, as the date of death is set in
advance. PAD is legally regulated in several countries
worldwide [14]. In some of these countries, including
the Netherlands, legal criteria of PAD include the medi-
cal condition of mental disorder of the patient. Grant-
ing such a request is still rare – while in 2021 a total of
7666 people died by PAD in the Netherlands (4.5% of
total deaths), only 115 of these (1.5% of all reported PAD-
cases) concerned PAD in psychiatric patients (0.07% of
total deaths) [15]. The EE provided information regarding all cases of
PAD in patients with a mental disorder, performed by
EE-physicians where a life partner had been involved. If
contact information of these life partners was available, Research on the impact of PAD on the mental health of
bereaved relatives showed that they experienced feeling Snijdewind et al. BMC Psychiatry (2022) 22:454 Snijdewind et al. BMC Psychiatry (2022) 22:454 Snijdewind et al. BMC Psychiatry (2022) 22:454 Page 3 of 13 Internal reliability (Cronbach’s alpha) in the current sam-
ple was 0.96. Recruitment and selection
Th
l
f In the
interviews, participants described the period of time
leading up to the death of their partner and the time
afterwards, up to their current situation. Most interviews
were conducted face-to-face at participants’ homes. However due to COVID-19-related restrictions, three
interviews were conducted through video calls. All par-
ticipants were informed about the purpose of the study. They provided either written or oral informed consent. Interviews lasted between 46 and 231 minutes and were
recorded. All interviews were held between February
2020 and March 2021. Interview Analyses Information about the research project
Recording and confidentiality
Questions
Informed consent
Reason(s) to participate
Name of the partner
General information about partner
First experience with partner’s mental disorder(s) and impact
Good day/period, bad day/period
Awareness/reaction social environment
(Professional) care related to the mental disorder(s)
Possible death: awareness/topic of discussion/ suicidal
thoughts or tendencies
Conversations about ending one’s life with care provider
Way of dying, meaning for bereaved partner
Farewell
Period following death
Reactions social environment
Openness and sharing, support, loneliness
Interview experience
Memories
Emotions
Influence loss on current life
Difficulties
Support and comfort
Openness social environment
View on death
Outlook on future
Recap
Other important experiences related to the loss? Current situation Ending Ending researchers and these codes were extensively compared
and discussed until an agreement was reached. Based
on this, a coding scheme was drafted that was further
developed through coding of the next seven interviews. Thereafter, codes were frequently grouped and regrouped
into overarching themes. Codes were added when new
information emerged during analyses. Data analysis was
frequently discussed between the authors and agreement
was reached by discussing the interpretation of specific
quotations in the context of the entire interview. Inter-
subjectivity was assured by coding and discussing three
interviews with two other researchers and discussing
excerpts, codes, and interpretations of other interviews
with another researcher. during the death. Being present during the partner’s sui-
cide only occurred in non-violent suicides. Table 2 lists
the characteristics of the participants and the mode of
death of their partners as well as the GEQ-scores. As shown in Table 2, participants whose partners died
by suicide were significantly higher educated and more
often female compared to those whose partners died by
PAD. In addition, they – and their partners – were signif-
icantly younger, and the duration of the relationship was
shorter. At the moment of study, more time had passed
for the participants whose partners died by suicide. Stressful life experiences following the partner’s death did
not differ significantly between the two groups except the
experience of breakup in a relationship, which occurred
more often in the suicide- than the PAD-bereaved group. Mean GEQ scores were lower for the PAD-bereaved
group on all subscales. Between-group differences in
mean GEQ subscale scores were all significant except for
the guilt subscale. Sample characteristics Twenty-seven bereaved participants were included in this
study, of whom twelve had experienced the death of their
partner by PAD and fifteen by suicide. Using data from
the interviews, the cause of death was further divided
into violent, i.e., mutilating (e.g., strangulation or high
impact collision) or non-violent, i.e., non-mutilating (e.g.,
PAD, drug overdose, ingestion of a deadly substance,
helium inhalation). Fifteen participants were present Interview Analyses All recorded interviews were transcribed. By inductive
coding, we conducted a thematic analysis using ATLAS. ti. The first three interviews were open coded by three Page 4 of 13 Snijdewind et al. BMC Psychiatry (2022) 22:454 Snijdewind et al. BMC Psychiatry (2022) 22:454 Snijdewind et al. BMC Psychiatry (2022) 22:454 Table 1 Topic list (translated, original in Dutch) Table 1 Topic list (translated, original in Dutch)
Interview introduction
Information about the research project
Recording and confidentiality
Questions
Informed consent
Introductory questions
Reason(s) to participate
Name of the partner
General information about partner
Mental disorder of the deceased partner
First experience with partner’s mental disorder(s) and impact
Good day/period, bad day/period
Awareness/reaction social environment
Care providers
(Professional) care related to the mental disorder(s)
Potential/possible death of the partner
Possible death: awareness/topic of discussion/ suicidal
thoughts or tendencies
Conversations about ending one’s life with care provider
Passing of the partner and life afterwards
Way of dying, meaning for bereaved partner
Farewell
Period following death
Reactions social environment
Openness and sharing, support, loneliness
Current situation
Interview experience
Memories
Emotions
Influence loss on current life
Difficulties
Support and comfort
Openness social environment
View on death
Outlook on future
Ending
Recap
Other important experiences related to the loss? Table 1 Topic list (translated, original in Dutch)
Interview introduction
Information about the research project
Recording and confidentiality
Questions
Informed consent
Introductory questions
Reason(s) to participate
Name of the partner
General information about partner
Mental disorder of the deceased partner
First experience with partner’s mental disorder(s) and im
Good day/period, bad day/period
Awareness/reaction social environment
Care providers
(Professional) care related to the mental disorder(s)
Potential/possible death of the partner
Possible death: awareness/topic of discussion/ suicidal
thoughts or tendencies
Conversations about ending one’s life with care provider
Passing of the partner and life afterwards
Way of dying, meaning for bereaved partner
Farewell
Period following death
Reactions social environment
Openness and sharing, support, loneliness
Current situation
Interview experience
Memories
Emotions
Influence loss on current life
Difficulties
Support and comfort
Openness social environment
View on death
Outlook on future
Ending
Recap
Other important experiences related to the loss? Unnatural death Both suicide and PAD are considered non-natural causes
of death. Because of this, the body of the deceased
needs to be released following inspection by the medical Snijdewind et al. BMC Psychiatry (2022) 22:454 Page 5 of 13 Table 2 Sociodemographic variables, stressful life events, and grief experiences by mode of partner’s death
1 vs. Unnatural death lower education
2 vs no children
Full sample
Cause of partner’s death
(N = 27)
Suicide (N = 15)
PAD (N = 12)
N
%
N
%
N
%
χ2 (df = 1)
Gender
Female
13
48.1
10
66.7
3
25.0
4.64
*
Male
14
51.9
5
33.3
9
75.0
Higher education1
17
63.0
14
93.3
3
25.0
13.35
***
Children2
20
74.1
12
80.0
8
66.7
0.62
Filed a complaint3
2
7.4
2
13.3
0
0.0
1.73
Present during the partner’s death4
15
55.6
3
20.0
12
100.0
17.28
***
Violent partner’s death5
8
29.6
8
53.3
0
0.0
9.10
**
Stressful life events after partner’s death
Experienced illness, injury
1
3.7
1
6.7
0
0.0
0.83
Family member ill, injured
6
22.2
5
33.3
1
8.3
2.41
Parent, child or sibling died
4
14.8
4
26.7
0
0.0
3.76
Friend or other family member died
2
7.4
0
0.0
2
16.7
2.70
Breakup of relationship
8
29.6
8
53.3
0
0.0
9.09
**
Relationship problem
8
29.6
6
40.0
2
16.7
1.74
Job loss or inability to find a job
2
7.4
1
6.7
1
8.3
0.03
Fired
0
0.0
0
0.0
0
0.0
-
Financial problem
1
3.7
1
6.7
0
0.0
0.83
Contact with the law
1
3.7
1
6.7
0
0.0
0.83
Theft or loss of valuables
2
7.4
1
6.7
1
8.3
0.03
M
SD
M
SD
M
SD
t (df = 25)
Age
61.02
13.11
54.27
11.45
69.46
9.99
-3.62
**
Years since death
2.63
2.52
3.52
2.81
1.51
1.59
2.21
*
Age partner
58.15
14.61
49.83
11.03
68.56
11.71
-4.27
***
Duration of relationship
30.00
18.22
21.20
14.81
42.04
15.58
-3.55
**
Number of stressful life events
1.30
1.20
1.87
1.25
0.58
0.67
3.21
*
Grief Experience Questionnaire
Somatic reactions
9.04
3.95
10.67
3.77
7.00
3.25
2.67
*
Search for explanation
11.35
3.93
12.85
3.27
9.48
4.01
2.41
*
Loss of support
10.17
4.38
12.43
4.07
7.33
2.93
3.65
**
Stigmatization
9.63
4.82
11.93
5.20
6.75
2.05
3.25
**
Guilt
9.87
4.07
11.20
4.44
8.21
2.93
2.00
Responsibility
7.72
3.53
9.20
4.05
5.88
1.38
2.71
*
Shame
8.04
3.55
9.40
3.79
6.33
2.39
2.44
*
Rejection
9.05
4.32
10.68
4.59
7.00
3.02
2.39
* 2 Sociodemographic variables, stressful life events, and grief experiences by mode of partner’s death examiner. Respondents bereaved by PAD mentioned that
this was just a formality. It was all taken care of by the physician of the eutha-
nasia association [Expertisecentrum Euthanasie].
A medical examiner had to come, had to be called,
or the public prosecutor or something like that. That
was all taken care of, I was not involved in that. I Unnatural death But
then again, if the medical examiner had come and
he would’ve had a suspicion and those bottles were
still in the kitchen... Should I have thrown them out? No, that only raises suspicion. You shouldn’t do that. (r.18, non-violent suicide, present during the death) Anyone may know. If I talk about his death – when
I’m somewhere new, or have new colleagues – I
tell them my husband died not so long ago, he had
so many complaints, it was no longer doable, he
received euthanasia. That I’ll tell them right after. Interviewer (I): And people’s reaction … ? Then it must have been bad. I mean, you don’t
receive euthanasia just like that, do you? (r17, PAD,
present during the death) Anyone may know. If I talk about his death – when
I’m somewhere new, or have new colleagues – I
tell them my husband died not so long ago, he had
so many complaints, it was no longer doable, he
received euthanasia. That I’ll tell them right after. Interviewer (I): And people’s reaction … ? Then it must have been bad. I mean, you don’t
receive euthanasia just like that, do you? (r17, PAD,
present during the death) Following PAD, contact with the officials was organ-
ized by the physician, who was also the liable person. In contrast, following suicide, the respondent was often
the one who needed to initiate contact with the officials. How and when this should take place was not always
self-evident. The respondents faced questions, such as
when should they report their partner missing and how
long should they wait to inform officials to be certain that
their partner actually died. Though sometimes they did
not recognize these moments of choice until later. Respondents often received supportive reactions con-
cerning the loss of their partner. The reactions concerning
the fact their partners had intentionally ended their lives
varied from wondering how this could have happened and
feeling that it should have been prevented, to recogniz-
ing the tragic situation for which there had been no alter-
native solution. Respondents felt they were sometimes
blamed for the suicide of their partner, while respondents
whose partner died by PAD did not feel this way. Being
blamed left respondents feeling vulnerable, isolated and
angry, and resulted in loss of friends and family. Unnatural death Often, the medical examiner
was informed by the physician about the upcoming PAD
beforehand and the examination did not take much time. Snijdewind et al. BMC Psychiatry (2022) 22:454 Page 6 of 13 Page 6 of 13 don’t know if there was a medical examiner, or that
she called the public prosecutor. (r.19, PAD, present
during the death) don’t know if there was a medical examiner, or that
she called the public prosecutor. (r.19, PAD, present
during the death) disorder and its impact. They explained this by saying
that their partner preferred other people not to know,
since they wanted to appear as normal and healthy as
possible and not to be treated differently, or because they
were ashamed of the condition. Others feared an unsup-
portive response from outsiders, based on past experi-
ences. The common experience was that other people,
even loved ones, did not notice the severity of the dis-
order and its impact. This might explain why the social
environment often did not understand the intention of
the deceased to end his or her life. It resulted in openly
questioning this intention and sometimes trying to con-
vince to not follow through, or blaming the respondent
afterwards for not stopping the partner. Respondents
had to face negative emotions and opinions of others
instead of feeling supported by them. While these reac-
tions were not limited to suicide, the granting of a PAD
request sometimes made it easier for the respondents to
explain the severity of the disorder and the suffering of
their partner to others; it seemed to validate the intention
to end one’s life. Respondents bereaved by suicide mentioned that
besides a medical examiner, police officers were present
to investigate the circumstances of the death. Several
respondents were questioned about their involvement
in the suicide and were not allowed near their part-
ner’s body during investigation. This weighed heavily on
them. An extensive examination involving the bereaved
respondents seemed to occur more often in non-violent
suicides where the partner had been present. However,
one of our interviewees mentioned that sometimes a
non-violent suicide could almost pass for a natural death
– in which no medical examination or police investiga-
tion would take place. She [the physician] was about to declare a natural
death. Had I only put the note [of the partner, stat-
ing she ended her life herself] somewhere else. Unnatural death We had the deal that if something happened, we
wouldn’t try to save each other. We didn’t want to
end up in a persistent vegetative state. Afterwards I
felt regret, I went to the neighbors too soon. Should I
not have waited longer? ( … ) I begged them, twice,
three times. First to the officer on duty, to the police,
to the officers on duty, each time there was a higher
ranking... if they would please stop the resuscitation,
but they just kept going. They just kept going. (r21,
violent suicide, not present during the death) And then [their reaction] ‘oh, suicide?’. It is still
taboo. ‘Was he happy?’ I think [partner] was very
happy here, but at certain moment … You can’t
explain it. Then I’ll leave it. Never mind, because
people are so short sighted. ‘Was there no help? Hasn’t there been this [or that]?’ Yeah, as if we
hadn’t tried everything ourselves. ( … ) It’s not only
suicide, that is a taboo, but also just dealing with
grief. (r11, non-violent suicide, not present during
the death) Social environment’s reactions to the partner’s mental
disorderh The respondents mentioned that their social environ-
ment – friends, family, co-workers, or acquaintances
– was often not fully aware of the decedent’s mental Page 7 of 13 Snijdewind et al. BMC Psychiatry (2022) 22:454 Snijdewind et al. BMC Psychiatry (2022) 22:454 They [the partner’s parents] blame me for every-
thing, they blame me for the death of [partner] (r21,
violent suicide, not present during the death) think of anything that I find difficult or have prob-
lems with. No, I knew what the situation was and
that it would never change and that I would have
to continue like this. (r13, PAD, present during the
death) His brother turned me in as a suspect. ( … ) His
brother wanted my role in this story to be re-exam-
ined. So, everything had to be handed in [to the
police]: phones, laptops, whatever. What a suspicion,
on top of everything that’s already happened. (r27,
PAD, present during the death) Mode of death predicting grief experiences and stressful
life events Table 3 shows the factors associated with GEQ scores,
as well as the number of stressful life events the par-
ticipants endured since their partners’ death. In the first
step of the multiple regression analyses, dying by PAD
was found to be associated with less somatic reactions,
search for explanation, loss of support, stigmatization,
guilt, responsibility, and lower number of stressful life
events. In the second step, we added the predictors vio-
lent death and being present during the death. Violent
death was associated with increased somatic reactions,
loss of support, stigmatization, guilt, and responsibility of
the participants. PAD was associated with increased (i.e.,
decreased loss of) support. The number of stressful life
events was associated with longer time since the death
and violent death. Some respondents, from both groups, found it impor-
tant to be open about the way their partner had died,
motivated by a wish to contribute to a society where
these topics were talked about more openly. Many respondents advocated that physicians and psy-
chiatrists should be more willing to consider and grant a
request for PAD in patients with mental disorders. This
was often mentioned as one of the reasons to participate
in the research. Questions and doubts Some respondents indicated that they began to doubt
themselves after the death of their life partners. Self-
doubt concerned their choice of partner, but also their
own current feelings and thoughts. These questions and
insecurities were mostly present in respondents who had
not foreseen the death of their partner. Discussionh The aim of this study was to provide insight into grief
experiences following the loss of a partner, suffering from
mental disorder, to PAD or suicide. Our results show
that people bereaved by suicide and PAD of their part-
ners not only lose their loved one, but also experience a
lack of understanding and support from others. Although
both PAD and suicide are considered unnatural causes
of death, their implications for bereaved partners vary
considerably. Following PAD, all persons involved are
supported by the physician, who initiates and handles
all contacts with officials. In contrast, following suicide,
the bereaved partner has to find out what to do if he or
she was present during the time of death or has found
the partner’s body. Furthermore, many people bereaved
by suicide at some point had to make difficult on-the-
spot decisions, regarding their partner, to which they felt
ill-prepared. I thought, that’s not right, how can this be? How
could this happen, that I’m feeling happy again? My
partner died half a year ago. How can I feel happy
again, that’s strange? I almost felt ashamed because
of it. ( … ) I felt ashamed, I thought I’m doing some-
thing weird, I’m weird, I’m the only one. I’m already
the only one that this had happened to, and now
I’m also the only one who feels this way. That makes
you judge yourself. ( … ) When I’m passionate about
something … then I just get on with it. And right now,
I just can’t. And then I start doubting myself. Am I
right? Am I on the right track? Then I’m overcome
by doubt and with that my self-confidence [declines]
( … ) It’s not like it was before, I’m not so free any-
more, that’s a part of grief. (r20, violent suicide, not
present during the death) A good death?
A
d d
h Respondents who were aware of the impending death, did
not have self-doubt or unanswered questions, as they were
convinced that their partners willingly chose to die and at the
time, it was the only option for their partner to find relief. A good death may be seen from the perspective of its
impact on grief, mental health, and wellbeing of the
bereaved. People bereaved by suicide are at higher risk
of developing mental health issues and suicidal behav-
ior compared to those bereaved by other modes of death
[25]. Notably, it has been shown that loss to violent death
is strongly associated with difficulty in accepting the loss,
and consequently, with other prolonged grief symptoms Well, you obviously prefer to continue [living] as
you’re used to. However, you know that’s not on
option anymore, it’s no longer there. And well, I don’t
really have a hard time dealing with it. ( … ) I can’t Snijdewind et al. A good death?
A
d d
h BMC Psychiatry (2022) 22:454 Page 8 of 13 Table 3 Multiple regressions predicting grief experiences and stressful life events based on mode of partner’s death and time since death
Step 1
Step 2
B
95% CI
Beta
F
R2
B
95% CI
Beta
F
R2
ΔR2
ΔF
Somatic reactions
3.65
*
0.23
4.18
*
0.43
0.20
3.84
*
Years since death
-0.19
-0.82
0.44
-0.12
-0.19
-0.77
0.38
-0.12
Physician-assisted dying1
-4.04
-7.19
-0.90
-0.52
*
-2.83
-7.40
1.75
-0.36
Violent death2
5.29
1.18
9.40
0.62
*
Present during the death3
2.00
-3.15
7.14
0.26
Search for explanation
4.05
*
0.25
2.50
0.31
0.06
0.97
Years since death
-0.43
-1.05
0.19
-0.28
-0.42
-1.05
0.21
-0.27
Physician-assisted dying1
-4.24
-7.33
-1.15
-0.55
**
-2.59
-7.61
2.42
-0.33
Violent death2
2.34
-2.16
6.85
0.28
Present during the death3
-0.46
-6.10
5.18
-0.06
Loss of support
6.42
**
0.35
6.21
**
0.53
0.18
4.27
*
Years since death
-0.07
-0.72
0.58
-0.04
-0.10
-0.68
0.48
-0.06
Physician-assisted dying1
-5.24
-8.45
-2.02
-0.60
**
-5.58
-10.20
-0.97
-0.65
*
Violent death2
5.83
1.69
9.98
0.62
**
Present during the death3
4.25
-0.95
9.44
0.49
Stigmatization
5.14
*
0.30
4.81
**
0.47
0.17
3.44
*
Years since death
0.12
-0.61
0.86
0.06
0.11
-0.57
0.79
0.06
Physician-assisted dying1
-4.94
-8.61
-1.27
-0.52
*
-4.31
-9.72
1.11
-0.45
Violent death2
6.10
1.24
10.96
0.59
*
Present during the death3
3.24
-2.85
9.33
0.34
Guilt
2.02
0.14
5.71
**
0.51
0.37
8.19
**
Years since death
-0.13
-0.82
0.56
-0.08
-0.08
-0.63
0.47
-0.05
Physician-assisted dying1
-3.26
-6.68
0.17
-0.41
1.67
-2.72
6.05
0.21
Violent death2
5.14
1.20
9.08
0.59
*
Present during the death3
-2.60
-7.53
2.33
-0.32
Responsibility
3.53
*
0.23
5.68
**
0.51
0.28
6.28
**
Years since death
0.02
-0.55
0.58
0.01
0.05
-0.43
0.53
0.04
Physician-assisted dying1
-3.29
-6.12
-0.47
-0.47
*
0.34
-3.47
4.16
0.05
Violent death2
4.05
0.63
7.47
0.53
*
Present during the death3
-1.75
-6.04
2.53
-0.25
Shame
3.16
0.21
2.07
0.27
0.07
0.99
Years since death
-0.20
-0.78
0.38
-0.14
-0.22
-0.80
0.37
-0.15
Physician-assisted dying1
-3.47
-6.34
-0.60
-0.49
*
-3.89
-8.54
0.76
-0.56
Violent death2
2.80
-1.38
6.97
0.37 Page 9 of 13 Snijdewind et al. A good death?
A
d d
h BMC Psychiatry (2022) 22:454 Table 3 (continued)
Step 1
Step 2
B
95% CI
Beta
F
R2
B
95% CI
Beta
F
R2
ΔR2
ΔF
Present during the death3
2.35
-2.88
7.58
0.34
Rejection
2.90
0.19
1.69
0.24
0.04
0.58
Years since death
-0.17
-0.88
0.54
-0.10
-0.18
-0.91
0.55
-0.11
Physician-assisted dying1
-4.03
-7.56
-0.51
-0.47
*
-3.80
-9.61
2.01
-0.45
Violent death2
2.70
-2.52
7.92
0.29
Present during the death3
1.49
-5.05
8.02
0.17
Number of stressful life events
7.68
**
0.39
6.10
**
0.53
0.14
3.14
Years since death
0.16
-0.01
0.34
0.34
0.16
0.00
0.32
0.34
*
Physician-assisted dying1
-0.95
-1.81
-0.10
-0.40
*
-0.67
-1.94
0.61
-0.28
Violent death2
1.34
0.20
2.48
0.52
*
Present during the death3
0.53
-0.90
1.96
0.22
1
i id Snijdewind et al. BMC Psychiatry (2022) 22:454 Page 10 of 13 Fig. 1 A heuristic, hypothetical model of death-related factors influencing bereaved partners’ grief experiences following suicide and PAD related to
a mental disorder (e.g., a continued sense of shock, bitterness, emptiness,
and yearning), symptoms of posttraumatic stress disor-
der, and depression [26]. Given the predictive effects of
prolonged grief on reduced mental health over time [27],
it is likely that mental health issues in people bereaved
through suicide are in part grief related. The analysis of
GEQ showed that PAD had a protective effect on the
severity of the grief experiences of bereaved partners
compared to suicide. It is possible that the protective
effect of PAD may be relevant to mental health issues
and suicidal behavior of people bereaved by PAD. Future
research is needed to further investigate this association. following PAD, the bereaved partner can counter these
reactions by the fact that a physician came to the con-
clusion that the suffering of the patient was unbearable
and without a prospect of improvement. This can not
only convince outsiders, but also reinforce the bereaved
partner’s own interpretation of the past situation. Feeling
isolated and experiencing a lack of understanding is also
reflected in the ‘loss of support’ and ‘stigmatization’ sub-
scales of the GEQ. A previous interview study on stigma
suggested that death taboo still exists in Western society,
more specifically concerning sudden deaths [28]. The
authors reasoned that this might be related to the “shock-
ing or unusual nature; causing others significant unease”
[28]. A good death?
A
d d
h Our study findings suggest that stigmatization may
be less prevalent after PAD, despite the unnatural cause
of the death. Thus, death taboo might be less related to
the unnatural cause of death, but more to the violent and
unexpected manner of it. g
Addition of other independent variables showed that
it might be worthwhile to look beyond the PAD-suicide
dichotomy. A partner’s violent death impacted the grief
experiences of the bereaved in addition to the suicide. The interviews offered an even more nuanced view into
grief than did the GEQ results. In addition to the cause of
death (PAD or suicide), bereaved partners’ grief experi-
ences were influenced by the death being violent or non-
violent, irrespective of whether they were present during
the death, and anticipated it. A previous study into grief
experiences of people bereaved by suicide showed that
the more the loved one’s suicide was expected, the less
the bereaved seek explanations and meaning after the
death [12]. Further similar studies might reveal a pattern
in which grief experiences in the context of suicide and
PAD might be placed on a scale from the experience of a
good death without severe grief, to one of a horrible death
followed by severe grief. PAD would be on the one end
of this scale, and an unexpected and violent suicide on
the other. In between we will find a planned non-violent
suicide with the partner present, a planned non-violent
suicide without the partner present, and an unexpected
non-violent suicide without the partner present. Figure 1
illustrates this hypothesis. Overlapping this spectrum
are reactions from outsiders who show little understand-
ing of the severity of the mental disorder. Unlike suicide, We have seen that bereaved persons sometimes strug-
gle with questions and doubts following the loss of their
significant others. Although the subscale ‘search for
explanation’ did not show significant outcomes, the inter-
views showed that some people were confronted with
questions – most often when the suicide was unexpected. The subscales ‘guilt’ and ‘responsibility’ also seem to be
associated with these inner questions and doubts. Being
confronted with blame and having the feeling of not
being understood by the social environment seemed to
stir up inner doubts even more. Our findings show that feelings of self-doubt following
the partner’s death seem to be related to the death being
unanticipated. A good death?
A
d d
h When the death was expected, some of the
questions (e.g., about why and how) had been resolved by
talking to the partner – questions that bereaved partners
following an unexpected death were still struggling with. Anticipating the death of the partner and having conver-
sations about it are parts of a process known as antici-
patory grief [29]. Conversations about the death seem to Snijdewind et al. BMC Psychiatry (2022) 22:454 Page 11 of 13 Page 11 of 13 (particularly expected in PAD), this could lead to under-
representation of severe mental health problems. Since
the actual experiences of the participants were not one-
sided – they also mentioned difficulties experienced in
the process of PAD and positive aspects of suicide – we
expected that self-selection bias did not skew our results. strengthen the bond between partners. However, they
also confront the healthy partner with the past, present,
and future losses [29], as losses are not limited to the
death of the partner but may include altered relationships
or other social and economic changes. In this context
it is interesting to note that a program focused on fam-
ily connections in people with suicidal behavior disorder
[30] may contribute to reducing grief associated with the
mental illness of a loved one, and it would be worthwhile
to investigate the effects of the family connection pro-
gram on grief if the loved one eventually dies by suicide. p
It is noteworthy that our study took place in the Neth-
erlands, and the results may not be generalizable to other
jurisdictions. We found gender differences between participants
bereaved by suicide and PAD. It is known that more
women die by PAD and more men by suicide [31]. Given
the predominance of heterosexual relationships, gen-
der distribution in our sample reflects expected general
population patterns, with participants bereaved by sui-
cide and PAD being most often women and men, respec-
tively. We also found mean age differences between the
two groups. Studies of granted euthanasia requests due
to mental disorders found that most patients were under
treatment for over ten years [32]. Thus, it is possible that
people who died by suicide in our sample had a shorter
mean duration of treatment compared with people who
died by PAD. In addition, the time required to grant a
request for PAD may be a contributing factor. A good death?
A
d d
h Patients
are likely to direct their initial request for PAD to their
treating physician. If the physician refuses, the patient
may turn to the EE. For psychiatric patients, the mean
waiting time at the EE has been 10 months during the
past years [32]. In addition, to meet the due care criteria
of irremediable suffering, remaining treatment options
sometimes need to be tried before considering PAD as an
option. In our sample, participants bereaved by PAD were in
the relationship with their partners longer than those
bereaved by suicide. In addition to the process leading
to PAD, that may support anticipatory grief, the longer
duration of the relationship may have helped anticipate
the death. It was evident from the study that bereaved partners
lost so much more than their partner. Timely conversa-
tions may help them prepare for these losses in advance. Concepts of preparedness and anticipatory grief might be
helpful to open such conversation between care provid-
ers. In case of planned suicides, specifically, in jurisdic-
tions that do not allow PAD related to a mental disorder,
care providers need to be aware of the challenges of
partners having discussions with each other, and try to
prevent the other partner from being seen as aiding and
abetting the suicide. Study strengths and limitationshi This is the first study on grief experiences of life partners
of people who died by PAD or suicide in case of a men-
tal disorder. By including partners of people who died
by mutilating or non-mutilating suicide, we obtained a
nuanced view on grief of losing a loved one who inten-
tionally ended his or her life due to a mental disorder. By combining a survey and an interview, we were able
to show the broad variety of experiences and provide an
indication of the severity of the grief.h Due to the COVID-19 pandemic, three interviews were
conducted through video calls. The impact of COVID-19
was addressed during the interviews. Social restrictions
related to COVID-19 may have impacted the experience
of grief of the participants, such as recent feelings of iso-
lation, or a decline in social contacts. Some respondents
thought the measures, mainly social distancing, indeed
contributed to these feelings. The study had the following limitations. First, for
the quantitative analyses, our sample size was small. Although a small sample size is generally associated with
a low power to detect statistically significant associations,
we found several significant associations to confirm
our hypotheses, suggesting that our sample size yielded
enough statistical power. However, generalizability of our
findings may be limited by the small sample size. In addi-
tion, generalizability may be limited due to self-selection
of participants in the study. It could bias the results if
people were motivated to participate because of nega-
tive experiences, thus overrepresenting the severity of
mental health problems. Conversely, if people were moti-
vated by a desire to advocate for a specific method to die Implications
P
di
f Pending future studies with larger samples, our study
provides initial evidence that PAD due to mental disor-
der may be associated with an increased understanding
of the extent of the suffering of the deceased person by
the bereaved and their social environment. In addition,
the findings provide a more nuanced view on suicide,
which is often considered a traumatic, violent, and sud-
den death. Our results show that it might do more jus-
tice to the act and its experience to distinguish between
ways of suicide, so that non-sudden and non-violent sui-
cides are not overlooked. In practice, non-violent suicide Snijdewind et al. BMC Psychiatry (2022) 22:454 Page 12 of 13 Page 12 of 13 Page 12 of 13 of Clinical Psychology and Experimental Psychopathology, Faculty of Behav-
ioral and Social Sciences, University of Groningen, Grote Kruisstraat 2/1, 9712,
TS, Groningen, The Netherlands. 4 Expertisecentrum Euthanasie, P.O. Box 13480,
2501, EL, Den Haag, The Netherlands. 5 ARQ National Psychotrauma Centre,
Nienoord 5, 1112 XE, Diemen, The Netherlands. 6 Department of Clinical
Psychology, Faculty of Social Sciences, Utrecht University, P.O. Box 80140,
3508, TC, Utrecht, The Netherlands. 7 Department of Humanistic Chaplaincy
Studies, University of Humanistic Studies, Kromme Nieuwegracht 29, 3512, HD,
Utrecht, the Netherlands. of Clinical Psychology and Experimental Psychopathology, Faculty of Behav-
ioral and Social Sciences, University of Groningen, Grote Kruisstraat 2/1, 9712,
TS, Groningen, The Netherlands. 4 Expertisecentrum Euthanasie, P.O. Box 13480,
2501, EL, Den Haag, The Netherlands. 5 ARQ National Psychotrauma Centre,
Nienoord 5, 1112 XE, Diemen, The Netherlands. 6 Department of Clinical
Psychology, Faculty of Social Sciences, Utrecht University, P.O. Box 80140,
3508, TC, Utrecht, The Netherlands. 7 Department of Humanistic Chaplaincy
Studies, University of Humanistic Studies, Kromme Nieuwegracht 29, 3512, HD,
Utrecht, the Netherlands. death cases might be reported as a natural deaths, thus
limiting the reliability of current registrations. Specifi-
cally, planned suicides may be underreported. However,
further research is needed on this. According to the guideline of the Dutch Association
for Psychiatry (NVvP), the physician considering PAD
in case of a mental disorder should involve significant
others of the patients in the process towards PAD and
provide care to them afterwards [33]. Our study results
support this recommendation. Abbreviations
EE E
i EE: Expertisecentrum Euthanasie (Euthanasia Expertise Centre, The Nether-
lands); GEQ: Grief Experience Questionnaire; PAD: Physician-assisted dying. g
j j
3. Scocco P, Preti A, Totaro S, Corrigan P, Castriotta C. Stigma, grief and
depressive symptoms in help-seeking people bereaved through suicide. J
Affect Disord. 2019;244:223–30. https://doi.org/10.1016/j.jad.2018.10.098. Consent for publication Not applicable. Not applicable. Funding 8. Arsenault-Lapierre G, Kim C, Turecki G. Psychiatric diagnoses in 3275
suicides: a meta-analysis. BMC Psychiatry. 2004;4:37. https://doi.org/10.
1186/1471-244X-4-37. 8. Arsenault-Lapierre G, Kim C, Turecki G. Psychiatric diagnoses in 3275
suicides: a meta-analysis. BMC Psychiatry. 2004;4:37. https://doi.org/10.
1186/1471-244X-4-37. This work was supported by ARQ Centrum’45, Vrienden van Expertisecentrum
Euthanasie, and “Stichting Stimuleringsfonds Rouw” – a foundation stimulat-
ing attention for and knowledge development about grief. 9. Milner A, Sveticic J, De Leo D. Suicide in the absence of mental disorder? A review of psychological autopsy studies across countries. Int J Soc
Psychiatry. 2013;59:545–54. https://doi.org/10.1177/0020764012444259. 9. Milner A, Sveticic J, De Leo D. Suicide in the absence of mental disorder? A review of psychological autopsy studies across countries. Int J Soc
Psychiatry. 2013;59:545–54. https://doi.org/10.1177/0020764012444259. Competing interests 15. Regionale Toetsingscommissies Euthanasie. Jaarverslag 2021. Welzijn en
Sport: Ministerie van Volksgezondheid; 2022. 15. Regionale Toetsingscommissies Euthanasie. Jaarverslag 2021. Welzijn en
Sport: Ministerie van Volksgezondheid; 2022. The authors declare that the research was conducted in the absence of any
commercial or financial relationships that could be construed as a potential
conflict of interest. 16. Andriessen K, Krysinska K, Castelli Dransart DA, Dargis L, Mishara BL. Grief
after euthanasia and physician-assisted suicide. Crisis. 2020;41:255–72. https://doi.org/10.1027/0227-5910/a000630. Implications
P
di
f In addition, the results
suggest that involvement of significant others should
include attention for their perspective on a good death
and their grief in order to further reduce the risk of
prolonged grief and other negative grief experiences. Received: 15 March 2022 Accepted: 23 June 2022 Availability of data and materials The datasets generated and/or analysed during the current study are not
publicly available, due to the ethically sensitive nature of the research and
potential participant identifiers in the datasets. Selected data are available
from the corresponding author on reasonable request. 10. Sheats KJ. Surveillance for Violent Deaths — National Violent Death
Reporting System, 39 States, the District of Columbia, and Puerto Rico,
2018. MMWR Surveill Summ. 2022:71. https://doi.org/10.15585/mmwr.
ss7103a1. 11. Hagens M, Pasman HRW, Onwuteaka-Philipsen BD. Cross-sectional
research into people passing away through self-ingesting self-collected
lethal medication after receiving demedicalized assistance in suicide. Omega J Death Dying. 2022;84:1100–21. https://doi.org/10.1177/00302
22820926771. Acknowledgements g
The authors thank Laura Hendrick and Clasine Haringsma for their help in the
data collection, coding and first analysis. The authors thank Roosje van der
Graaf for her help in data collection. f
p
g
j j
4. Kõlves K, de Leo D. Suicide bereavement: piloting a longitudinal study
in Australia. BMJ Open. 2018;8:e019504. https://doi.org/10.1136/bmjop
en-2017-019504. 5. World Health Organization. Suicide Worldwide in 2019: Global Health
Estimates 2021. 5. World Health Organization. Suicide Worldwide in 2019: Global Health
Estimates 2021. References 1. Smid GE. A framework of meaning attribution following loss. Eur J Psy-
chotraumatol. 2020;11:1776563. https://doi.org/10.1080/20008198.2020.
1776563. 1. Smid GE. A framework of meaning attribution following loss. Eur J Psy-
chotraumatol. 2020;11:1776563. https://doi.org/10.1080/20008198.2020.
1776563. 2. Djelantik AAAMJ, Smid GE, Mroz A, Kleber RJ, Boelen PA. The prevalence
of prolonged grief disorder in bereaved individuals following unnatural
losses: Systematic review and meta regression analysis. JAffectDisord. 2020;265:146–56. https://doi.org/10.1016/j.jad.2020.01.034. 2. Djelantik AAAMJ, Smid GE, Mroz A, Kleber RJ, Boelen PA. The prevalence
of prolonged grief disorder in bereaved individuals following unnatural
losses: Systematic review and meta regression analysis. JAffectDisord. 2020;265:146–56. https://doi.org/10.1016/j.jad.2020.01.034. Authors’ contributions All authors contributed substantially to the conception or design of the work. Interviews were performed by MCS; GES and GC contributed to the data
acquisition. MCS and GES conducted to the analysis and interpretation of data. GES and MCS drafted the manuscript, all authors revised it critically. All authors
approved the final version to be published. 6. CBS. StatLine - Deaths; underlying cause of death (shortlist), sex, age
2021. https://opendata.cbs.nl/statline/#/CBS/en/dataset/7052eng/table?
ts=1651929348822 (accessed 7 May 2022). y
7. CBS. StatLine - Deaths; suicide (residents), various themes 2022. https://
opendata.cbs.nl/statline/#/CBS/en/dataset/7022eng/table?ts=16519
29639386 (accessed 7May 2022). Ethics approval and consent to participate This research project was performed in accordance with relevant guidelines
and regulations. We consulted the Medical Ethics Research Committee Utre-
cht (protocol number 19/596), who exempted the study from formal review
because the Medical Research Involving Human Subjects Act (WMO) does not
apply to the study. Each participant provided written informed consent prior
to enrolling in the study. 12. Wojtkowiak J, Wild V, Egger J. Grief Experiences and Expectance of Sui-
cide. Suicide Life Threat Behav. 2012;42:56–66. https://doi.org/10.1111/j.
1943-278X.2011.00070.x. 13. Boelen PA, de Keijser J, Smid GE. Cognitive-behavioral variables mediate
the impact of violent loss on post-loss psychopathology. PsycholTrauma. 2015;7:382–90. https://doi.org/10.1037/tra0000018. 14. Emanuel EJ, Onwuteaka-Philipsen BD, Urwin JW, Cohen J. Attitudes and
practices of euthanasia and physician-assisted suicide in the united
states, canada, and europe. JAMA. 2016;316:79–90. https://doi.org/10.
1001/jama.2016.8499. of Clinical Psychology and Experimental Psychopathology, Faculty of Behav-
ioral and Social Sciences, University of Groningen, Grote Kruisstraat 2/1, 9712,
TS, Groningen, The Netherlands. 4 Expertisecentrum Euthanasie, P.O. Box 13480,
2501, EL, Den Haag, The Netherlands. 5 ARQ National Psychotrauma Centre,
Nienoord 5, 1112 XE, Diemen, The Netherlands. 6 Department of Clinical
Psychology, Faculty of Social Sciences, Utrecht University, P.O. Box 80140,
3508, TC, Utrecht, The Netherlands. 7 Department of Humanistic Chaplaincy
Studies, University of Humanistic Studies, Kromme Nieuwegracht 29, 3512, HD,
Utrecht, the Netherlands. Author details
1 g
17. Ganzini L, Goy ER, Dobscha SK, Prigerson H. Mental health outcomes of
family members of Oregonians who request physician aid in dying. J Pain
Symptom Manage. 2009;38:807–15. https://doi.org/10.1016/j.jpainsym-
man.2009.04.026. 1 ARQ Centrum’45, Nienoord 5, 1112 XE, Diemen, The Netherlands. 2 Depart-
ment of Ethics, Law and Humanities, Amsterdam UMC, Academic Medical
Centre, P.O. Box 22660, 1100, DD, Amsterdam, The Netherlands. 3 Department Page 13 of 13 Snijdewind et al. BMC Psychiatry (2022) 22:454 Snijdewind et al. BMC Psychiatry (2022) 22:454 18. Swarte NB, van der Lee ML, van der Bom JG, Van den Bout J, Heintz AP. Effects of euthanasia on the bereaved family and friends: a cross sectional
study. BMJ. 2003;327:189. https://doi.org/10.1136/bmj.327.7408.189. 19. Wagner B, Müller J, Maercker A. Death by request in Switzerland: Post-
traumatic stress disorder and complicated grief after witnessing assisted
suicide. EurPsychiatry. 2012;27:542–6. https://doi.org/10.1016/j.eurpsy.
2010.12.003. 20. Hennink MM, Kaiser BN, Marconi VC. Code saturation versus mean-
ing saturation: how many interviews are enough? Qual Health Res. 2017;27:591–608. https://doi.org/10.1177/1049732316665344. 21. Barrett TW, Scott TB. Development of the Grief Experience Questionnaire. Suicide Life Threat Behav. 1989;19:201–15. https://doi.org/10.1111/j.1943-
278X.1989.tb01033.x. 21. Barrett TW, Scott TB. Development of the Grief Experience Questionnaire. Suicide Life Threat Behav. 1989;19:201–15. https://doi.org/10.1111/j.1943-
278X.1989.tb01033.x. 22. Bailley SE, Dunham K, Kral MJ. Factor structure of the grief experience
questionnaire (GEQ). Death Stud. 2000;24:721–38. https://doi.org/10.
1080/074811800750036596. 23. Kõlves K, Zhao Q, Ross V, Hawgood J, Spence SH, de Leo D. Suicide
and other sudden death bereavement of immediate family mem-
bers: An analysis of grief reactions six-months after death. J Affect Dis. 2019;243:96–102. https://doi.org/10.1016/j.jad.2018.09.018. 24. Callahan J. Predictors and Correlates of Bereavement in Suicide Support
Group Participants. Suicide Life Threat Behav. 2000;30:104–24. https://doi.
org/10.1111/j.1943-278X.2000.tb01070.x. 25. Erlangsen A, Runeson B, Bolton JM. Association between spousal suicide
and mental, physical, and social health outcomes: A longitudinal and
nationwide register-based study. PSYCH. 2017;74:456–64. https://doi.org/
10.1001/jamapsychiatry.2017.0226. 26. Djelantik AAAMJ, Robinaugh DJ, Kleber RJ, Smid GE, Boelen PA. Symp-
tomatology following loss and trauma: Latent class and network analyses
of prolonged grief disorder, posttraumatic stress disorder, and depres-
sion in a treatment-seeking trauma-exposed sample. Depress Anxiety. 2020;37:26–34. https://doi.org/10.1002/da.22880. 27. Boelen PA, Prigerson HG. The influence of symptoms of prolonged grief
disorder, depression, and anxiety on quality of life among bereaved
adults. Eur Arch Psychiatry Clin Neurosc. 2007;257:444–52. https://doi.
org/10.1007/s00406-007-0744-0. 28. Pitman AL, Stevenson F, Osborn DPJ, King MB. Author details
1 The stigma associated with
bereavement by suicide and other sudden deaths: A qualitative interview
study. Soc Sci Med. 2018;198:121–9. https://doi.org/10.1016/j.socscimed.
2017.12.035. 29. Rando TA. Anticipatory grief: the term is a misnomer but the phenom-
enon exists. J Palliat Care. 1988;4:70–3. https://doi.org/10.1177/08258
59788004001-223. 30. Marco JH, Fonseca S, Fernandez-Felipe I, García-Palacios A, Baños R, Perez
S, et al. Family connections vs treatment at usual optimized in the treat-
ment of relatives of people with suicidal behavior disorder: study proto-
col of a randomized control trial. BMC Psychiatry. 2022;22:335. https://doi.
org/10.1186/s12888-022-03965-5. 30. Marco JH, Fonseca S, Fernandez-Felipe I, García-Palacios A, Baños R, Perez
S, et al. Family connections vs treatment at usual optimized in the treat-
ment of relatives of people with suicidal behavior disorder: study proto-
col of a randomized control trial. BMC Psychiatry. 2022;22:335. https://doi.
org/10.1186/s12888-022-03965-5. g
31. Steck N, Egger M, Zwahlen M. Assisted and unassisted suicide in men
and women: Longitudinal study of the Swiss population. Br J Psychiatry. 2016;208:484–90. https://doi.org/10.1192/bjp.bp.114.160416. 32. Kammeraat M, Kölling P. Psychiatrische patiënten bij Expertisecentrum
Euthanasie - Rapport - Rijksoverheid.nl 2020. https://www.rijksoverheid.
nl/documenten/rapporten/2020/02/17/psychiatrische-patinten-bij-
expertisecentrum-euthanasie (accessed February 19, 2022). 33. Corthals H, Gijsbers van Wijk C, Kerkhof A, Koch L, Legemaate J, Stärcke
P, et al. Levensbeëindiging op verzoek bij patiënten met een psychische
stoornis 2018. https://richtlijnendatabase.nl/richtlijn/levensbeeindiging_
op_verzoek_psychiatrie/startpagina_-_levensbe_indiging_op_verzoek.
html (accessed 30 Sept 2018). •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress. Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress. Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress.
Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in pub-
lished maps and institutional affiliations. Springer Nature remains neutral with regard to jurisdictional claims in pub-
lished maps and institutional affiliations.
|
https://openalex.org/W2174792007
|
https://escholarship.org/content/qt2j86667p/qt2j86667p.pdf?t=phrpfu
|
English
| null |
Variable responses of human and non-human primate gut microbiomes to a Western diet
|
Microbiome
| 2,015
|
cc-by
| 8,651
|
UC San Diego
UC San Diego Previously Published Works
Title
Variable responses of human and non-human primate gut microbiomes to a Western diet
Permalink
https://escholarship.org/uc/item/2j86667p
Journal
Microbiome, 3(1)
ISSN
2049-2618
Authors
Amato, Katherine R
Yeoman, Carl J
Cerda, Gabriela
et al.
Publication Date
2015-12-01
DOI
10.1186/s40168-015-0120-7
Peer reviewed UC San Diego
UC San Diego Previously Published Works
Title
Variable responses of human and non-human primate gut microbiomes to a Western diet
Permalink
https://escholarship.org/uc/item/2j86667p
Journal
Microbiome, 3(1)
ISSN
2049-2618
Authors
Amato, Katherine R
Yeoman, Carl J
Cerda, Gabriela
et al. Publication Date
2015-12-01
DOI
10.1186/s40168-015-0120-7
Peer reviewed UC San Diego
UC San Diego Previously Published
Title
Variable responses of human and non-human prim
Permalink
https://escholarship.org/uc/item/2j86667p
Journal
Microbiome, 3(1)
ISSN
2049-2618
Authors
Amato, Katherine R
Yeoman, Carl J
Cerda, Gabriela
et al. Publication Date
2015-12-01
DOI
10.1186/s40168-015-0120-7
Peer reviewed UC San Diego Title
Variable responses of human and non-human primate gut microbiomes to a Western diet
Permalink
h
h l
hi
i
2j8666 Journal
Microbiome, 3(1)
ISSN
2049-2618
Authors
Amato, Katherine R
Yeoman, Carl J
Cerda, Gabriela
et al. Publication Date
2015-12-01
DOI
10.1186/s40168-015-0120-7
Peer reviewed © 2015 Amato et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Variable responses of human and non-human
primate gut microbiomes to a Western diet Katherine R. Amato1,2,3*, Carl J. Yeoman4, Gabriela Cerda5, Christopher A. Schmitt6,16, Jennifer Danzy Cramer7,
Margret E. Berg Miller8, Andres Gomez8,9, Trudy R. Turner10,11, Brenda A. Wilson8,12, Rebecca M. Stumpf5,8,
Karen E. Nelson13, Bryan A. White8,14, Rob Knight15 and Steven R. Leigh2,8 Abstract Background: The human gut microbiota interacts closely with human diet and physiology. To better understand
the mechanisms behind this relationship, gut microbiome research relies on complementing human studies with
manipulations of animal models, including non-human primates. However, due to unique aspects of human diet
and physiology, it is likely that host-gut microbe interactions operate differently in humans and non-human
primates Results: Here, we show that the human microbiome reacts differently to a high-protein, high-fat Western diet than
that of a model primate, the African green monkey, or vervet (Chlorocebus aethiops sabaeus). Specifically, humans
exhibit increased relative abundance of Firmicutes and reduced relative abundance of Prevotella on a Western diet
while vervets show the opposite pattern. Predictive metagenomics demonstrate an increased relative abundance of
genes associated with carbohydrate metabolism in the microbiome of only humans consuming a Western diet. Conclusions: These results suggest that the human gut microbiota has unique properties that are a result of
changes in human diet and physiology across evolution or that may have contributed to the evolution of human
physiology. Therefore, the role of animal models for understanding the relationship between the human gut
microbiota and host metabolism must be re-focused. Keywords: Gut microbiome, Vervet, Chlorocebus aethiops, Western diet, Human evolution * Correspondence: katherine.amato@northwestern.edu
1Department of Anthropology, Northwestern University, Evanston, USA
2Department of Anthropology, University of Colorado Boulder, Boulder, USA
Full list of author information is available at the end of the article Powered by the California Digital Library
University of California Powered by the California Digital Library
University of California eScholarship.org RESEARCH
Open Access
Variable responses of human and non-human
primate gut microbiomes to a Western diet
Katherine R. Amato1,2,3*, Carl J. Yeoman4, Gabriela Cerda5, Christopher A. Schmitt6,16, Jennifer Danzy Cramer7,
Margret E. Berg Miller8, Andres Gomez8,9, Trudy R. Turner10,11, Brenda A. Wilson8,12, Rebecca M. Stumpf5,8,
Karen E. Nelson13, Bryan A. White8,14, Rob Knight15 and Steven R. Leigh2,8
Amato et al. Microbiome (2015) 3:53
DOI 10.1186/s40168-015-0120-7 Amato et al. Microbiome (2015) 3:53
DOI 10.1186/s40168-015-0120-7 Background in many of these conditions [8–10], indicating a link be-
tween the human gut microbiota, diet, and physiology. A common theme in human gut microbiome research
currently is the effect of diet on gut microbiota compos-
ition, and ultimately, host physiology [1]. In particular, a
number of studies focus on the impact of a “Western”
diet (high in animal fat and protein and low in fiber)
compared to a “non-Western” diet (low in animal fat
and protein and high in fiber; [2–6]). Western and non-
Western human diets are consistently associated with
distinct gut microbial communities [2–6], and humans
consuming a high-protein, high-fat Western diet also
have higher rates of obesity and other metabolic syndromes
such as diabetes [7]. Gut microbes appear to be implicated As data describing patterns in the human gut micro-
biota accumulate, researchers are beginning to turn to-
ward animal models to test the mechanisms driving
host-gut microbe interactions and their physiological
consequences. While the use of rodent models is particu-
larly popular due to ease of manipulation, non-human
primate models are being integrated as well as a result of
their close phylogenetic relationships with humans and
presumably similar physiology [1, 11–13]. For example, a
recent study examined the impact of a high-fat diet on the
gut microbiota of adult female macaques and their off-
spring [12]. However, human evolution appears to reflect a major
dietary shift from a predominantly plant-based diet to an
increasingly carnivorous diet, with relatively recent in-
creases in food digestibility due to tool use, cooking, and Amato et al. Microbiome (2015) 3:53 Page 2 of 9 other processing techniques [14–16]. Additionally, com-
pared to non-human primates, humans are characterized
by a number of unique physiological adaptations, includ-
ing increased brain size, reduced gut size, increased fat
deposition, and decreased muscle mass [17–19]. Differ-
ences also exist between human and non-human primate
Toll-like receptors in the gut as well as expression of
enzymes for the production of hormones such as prosta-
glandin [20–22]. Because diet can alter the taxonomic
composition of the human gut microbiota during an indi-
vidual’s lifetime [23, 24], and human metabolism and
physiology is closely linked to the gut microbiota [25], it is
likely that evolutionary shifts in human diet and physi-
ology were accompanied by shifts in the gut microbiota. Background As a result, the human gut microbiota should exhibit
unique properties when compared to the non-human pri-
mate gut microbiota. If this is the case, non-human primate
models of host-gut microbe relationships may be less ideal
than assumed for addressing questions regarding human
diet and physiology in the context of the gut microbiota. Physiological similarities to humans make vervets, an at-
tractive model for biomedical trials [28], particularly with
regards to human metabolic disorders and obesity [29, 30]. Vervets may therefore provide an excellent reference
system for understanding how unique the responses of
the human gut microbiota to diet are compared to
other primates. Despite the utility of vervets as models for human
physiology in many contexts, we hypothesized that the
vervet gut microbiota would exhibit distinct responses
to a Western diet when compared with the human gut
microbiota. Specifically, we predicted that the relative
abundances of fewer microbial taxa and genes would
differ in response to diet in the vervet gut microbiota
since vervets have not evolved to include large amounts
of animal fat and protein in their natural diets [31]. Consequently, the vervet gut microbiota should be less
able to adapt to this type of Western diet and may not
be an appropriate model for understanding human gut
microbe interactions in the context of diet. Recent data provide evidence that the human gut
microbiota is less diverse and better adapted to a
meat-rich diet compared to closely related extant pri-
mates [26], but no direct comparison of host-gut mi-
crobe dynamics in humans and non-human primates
currently exists. Therefore, it is unclear if the relation-
ship between the gut microbiota and host diet and
physiology differs in humans compared to other pri-
mates. To improve our understanding of how host-gut
microbe interactions are similar or different in human and
non-human primates, here, we use 454 titanium pyrose-
quencing and predictive metagenomics (PICRUSt) [27] to
compare the gut microbiota of humans and African green
monkeys, or vervets (Chlorocebus aethiops sabaeus),
consuming both a Western and a non-Western diet. Results
Vervets Results show that although vervets fed a typical West-
ern diet (TWD, see Methods for composition) had
similar gut microbial richness compared to wild vervets
consuming a non-Western diet (Fig. 1), the compos-
ition of their gut microbiota was distinct (unweighted
UniFrac distance, F1,26 = 4.8, p < 0.001, r2 = 0.16, Fig. 2;
weighted UniFrac distance, F1,26 = 9.6, p < 0.001, r2 = 0.28,
Additional file 1: Figure S1, Table S1-S5). Specifically, at
the phylum level, TWD-fed vervets had significantly lower
relative abundances of Firmicutes, Lentisphaerae, Proteo-
bacteria, Tenericutes, and Verrucomicrobia than wild
vervets (Additional file 1: Table S1). In contrast, TWD-fed Fig. 1 A Western diet reduces gut microbial diversity in humans but not vervets. Chao1 estimates (average ± SD) of microbial community
richness at 1000 sequence reads per sample for vervets and humans consuming a non-Western vs. a Western diet. Star indicates significant
differences (FDR-corrected p < 0.05) in microbial richness between diets. Western humans are from Italy (Schnorr et al. [3]) and the USA
(Yatsunenko et al. [2]). Non-western humans are from Tanzania (Hadza, Schnorr et al. [3]), Venezuela (Guahibo, Yatsunenko et al. [2]), and
Malawi (Yatsunenko et al. [2]). (N = 13 non-Western vervets; N = 14 Western vervets; N = 17 non-Western (Schnorr et al.) humans; N = 11
Western (Schnorr et al.) humans; N = 76 non-Western (Yatsunenko et al.) humans; N = 118 Western (Yatsunenko et al.) humans) Fig. 1 A Western diet reduces gut microbial diversity in humans but not vervets. Chao1 estimates (average ± SD) of microbial community
richness at 1000 sequence reads per sample for vervets and humans consuming a non-Western vs. a Western diet. Star indicates significant
differences (FDR-corrected p < 0.05) in microbial richness between diets. Western humans are from Italy (Schnorr et al. [3]) and the USA
(Yatsunenko et al. [2]). Non-western humans are from Tanzania (Hadza, Schnorr et al. [3]), Venezuela (Guahibo, Yatsunenko et al. [2]), and
Malawi (Yatsunenko et al. [2]). (N = 13 non-Western vervets; N = 14 Western vervets; N = 17 non-Western (Schnorr et al.) humans; N = 11
Western (Schnorr et al.) humans; N = 76 non-Western (Yatsunenko et al.) humans; N = 118 Western (Yatsunenko et al.) humans) Fig. 1 A Western diet reduces gut microbial diversity in humans but not vervets. Humans vs. vervets Fig. 2 The vervet gut microbiome resembles a non-Western human gut
microbiome regardless of the vervet diet. Non-metric multi-dimensional
scaling (NMDS) plot based on unweighted UniFrac distances illustrating
clustering patterns in gut microbiomes across sampling groups at the
OTU level Both human studies revealed differences in the gut micro-
biota associated with diet both in terms of microbial taxo-
nomic composition (unweighted UniFrac distance, Hadza/
Italy, F1,27 = 4.9, p < 0.001, r2 = 0.16, Malawi/Venezuela/
U.S., F1,193 = 31.6, p < 0.001, r2 = 0.14, Fig. 2; weighted Uni-
Frac distance, Hadza/Italy, F1,27 = 5.2, p = 0.001, r2 = 0.17;
Malawi/Venezuela/USA, F1,193 = 72.7, p < 0.001, r2 = 0.27
Additional file 1: Figure S1, Additional file 1: Table S1-S5)
and gene relative abundances (Hadza/Italy, F1,42 = 6.1,
p = 0.003, r2 = 0.13; Malawi/Venezuela/USA, F1,193 = 61.3,
p < 0.001, r2 = 0.24), but we detected more differences in
the relative abundances of microbial taxa between Western
and
non-Western
gut
microbiomes
in
the
Malawi/
Venezuela/USA dataset, presumably as a result of larger
sample sizes (Additional file 1: Tables S1-S7). In addition,
several microbial taxa reacted similarly to a Western diet
across both human and vervet datasets despite different
storage, DNA extraction, and sequencing technologies as
well as variation in Western and non-Western diet across
countries and species. Like the vervets, Western diet
humans from the USA and Italy exhibited lower relative
abundances of Proteobacteria, Lentisphaerae, and Teneri-
cutes (p = 0.06 for Italians) compared to those on a non-
Western diet. Relative abundances of Spirochaetes were
also lower in the humans from Malawi and Venezuela com-
pared to the USA, and we detected lower relative abun-
dances of Clostridium and higher relative abundances of
Desulfovibrionaceae and Collinsella in humans from the
USA compared to Malawi and Venezuela. Fig. 2 The vervet gut microbiome resembles a non-Western human gut
microbiome regardless of the vervet diet. Non-metric multi-dimensional
scaling (NMDS) plot based on unweighted UniFrac distances illustrating
clustering patterns in gut microbiomes across sampling groups at the
OTU level vervets had significantly higher abundances of Bacteroi-
detes and TM7, with a trend for higher relative abun-
dances of Spirochaetes (Additional file 1: Table S1). Results
Vervets Chao1 estimates (average ± SD) of microbial community
richness at 1000 sequence reads per sample for vervets and humans consuming a non-Western vs. a Western diet. Star indicates significant
differences (FDR-corrected p < 0.05) in microbial richness between diets. Western humans are from Italy (Schnorr et al. [3]) and the USA
(Yatsunenko et al. [2]). Non-western humans are from Tanzania (Hadza, Schnorr et al. [3]), Venezuela (Guahibo, Yatsunenko et al. [2]), and
Malawi (Yatsunenko et al. [2]). (N = 13 non-Western vervets; N = 14 Western vervets; N = 17 non-Western (Schnorr et al.) humans; N = 11
Western (Schnorr et al.) humans; N = 76 non-Western (Yatsunenko et al.) humans; N = 118 Western (Yatsunenko et al.) humans) Page 3 of 9 Page 3 of 9 Page 3 of 9 Amato et al. Microbiome (2015) 3:53 Humans vs. vervets While
people in the USA exhibited increased relative abun-
dances of Firmicutes and reduced relative abundances of Page 4 of 9 Page 4 of 9 Amato et al. Microbiome (2015) 3:53 Bacteroidetes compared to people in Venezuela and
Malawi, vervets exhibited the following opposite pattern: a
reduction in Firmicutes relative abundances and an in-
crease in Bacteroidetes relative abundances in response to
a Western diet (Fig. 3a). Furthermore, Western human
populations exhibited lower relative abundances of Prevo-
tella and higher relative abundances of Bacteroides and
Bifidobacterium, which contrasts sharply with the patterns
observed in the vervets (Fig. 3b). Vervets also exhibited
increased levels of Cantenibacterium on a Western diet,
but both human populations we examined showed the
opposite pattern. Finally, in both human populations, rela-
tive abundances of Succinovibrio and Treponema were
lower for people consuming a Western diet, but diet did
not signficantly affect these taxa in vervets. in humans on a Western diet while in vervets its relative
abundance increased (Additional file 1: Table S6). The same
was true of K01858 (myo-inositol-1-phosphate synthase),
K02548 (general secretion pathway protein I), and
K02619 (4-amino-4-deoxychorismate lyase), associated
with carbohydrate metabolism, cofactor and vitamin
metabolism/biosynthesis, and folate biosynthesis, respect-
ively (Additional file 1: Table S6). Additionally, vervets
showed shifts in the relative abundances of eight genes that
did not shift in response to diet in humans in either study. At the pathway level, humans also showed an increased rela-
tive abundance of genes associated with carbohydrate me-
tabolism when consuming a Western diet, a difference that
was not observed in vervets (Additional file 1: Table S7). Humans vs. vervets At the
genus level, we also detected lower relative abundances of
Clostridium and a tendency for lower relative abundances
of Bifidobacterium in TWD-fed vervets as well as higher
relative abundances of Desulfovibrio, Prevotella, Canteni-
bacterium, and Collinsella (Additional file 1: Table S5). Despite the similarities noted above, we also observed
key differences between the gut microbiota of humans
and vervets associated with each type of diet. First, exam-
ination of the presence or absence of microbial taxa
revealed that the vervets clustered more strongly with
non-Western humans, especially the Hadza, regardless of
whether the vervets were consuming a wild or Western
diet (Fig. 2, Additional file 1: Figure S2). Although recent
bottlenecks have resulted in low genetic diversity in both
vervet populations sampled [28, 32], gut microbiome data
from another wild, non-human primate species (Cercoce-
bus agilis, Central African Republic) also cluster with the
vervets (Additional file 1: Figure S3), indicating that in-
creased genetic diversity among human populations com-
pared to the vervet populations is not driving the observed
patterns. (
)
Predictive metagenomics also revealed differences in the
vervet gut microbiome in response to diet (F1,57 = 4.94, p =
0.01, r2 = 0.08). Specifically, 22 genes differed in relative
abundance between wild vervets and TWD-fed vervets. For
example, K00432, a glutathione peroxidase, which is associ-
ated with lipid and amino acid metabolism, was present at
higher relative abundances in vervets consuming a TWD
than wild vervets (Additional file 1: Table S6). The same
pattern was observed in the relative abundance of K02619,
a 4-amino-4-deoxychorismate lyase, which is associated
with folate biosynthesis. In contrast, K00068 (sorbitol-6-
phosphate 2-dehydrogenase), K00844 (hexokinase), and
K05884 (L-2-hydroxycarboxylate dehydrogenase), with
roles in fructose and mannose metabolism, carbohy-
drate and lipid metabolism, and coenzyme M biosyn-
thesis, respectively, were all predicted in lower relative
abundances in TWD-fed vervets (Additional file 1:
Table S6). At the pathway level, TWD-fed vervets exhib-
ited increased relative abundances of genes associated
with amino acid metabolism (Additional file 1: Table S7). In addition, Chao1 species diversity estimates tended
to be lower in humans consuming a Western diet vs. a
non-Western diet (Fig. 1), while diversity in vervets was
unaffected by diet. Compared to humans, vervets also
exhibited distinct changes in the relative abundances of
microbial taxa in response to a Western diet. Discussion Predictive metagenomic data also showed strong differ-
ences in the reactions of the vervet and human gut micro-
biota to diet. Although the relative abundance of K00432
(glutathione peroxidase) changed in response to diet in
both humans and vervets, its relative abundance decreased As hypothesized, our data indicate that the composition
of the human and vervet gut microbiota is distinct on a
Western diet. However, we did not observe differences
in the relative abundance of fewer microbial taxa and Fig. 3 Human and vervet gut microbiomes react differently to a Western diet. Relative abundances of key a phyla and b genera in humans
and vervets consuming non-Western and Western diets. Western humans are from Italy (Schnorr et al. [3]) and the USA (Yatsunenko et al. [2]). Non-Western humans are from Tanzania (Hadza, Schnorr et al. [3]), Venezuela (Guahibo, Yatsunenko et al. [2]), and Malawi (Yatsunenko et al. [2]). Stars indicate significant differences (FDR-corrected p < 0.05) in relative abundances between diets for both humans and vervets. However, Bacteroides
relative abundances were not significantly different between diets for vervets Fig. 3 Human and vervet gut microbiomes react differently to a Western diet. Relative abundances of key a phyla and b genera in humans
and vervets consuming non-Western and Western diets. Western humans are from Italy (Schnorr et al. [3]) and the USA (Yatsunenko et al. [2]). Non-Western humans are from Tanzania (Hadza, Schnorr et al. [3]), Venezuela (Guahibo, Yatsunenko et al. [2]), and Malawi (Yatsunenko et al. [2]). Stars indicate significant differences (FDR-corrected p < 0.05) in relative abundances between diets for both humans and vervets. However, Bacteroides Fig. 3 Human and vervet gut microbiomes react differently to a Western diet. Relative abundances of key a phyla and b genera in humans
and vervets consuming non-Western and Western diets. Western humans are from Italy (Schnorr et al. [3]) and the USA (Yatsunenko et al. [2]). Non-Western humans are from Tanzania (Hadza, Schnorr et al. [3]), Venezuela (Guahibo, Yatsunenko et al. [2]), and Malawi (Yatsunenko et al. [2]). Stars indicate significant differences (FDR-corrected p < 0.05) in relative abundances between diets for both humans and vervets. However, Bacteroides
relative abundances were not significantly different between diets for vervets Fig. 3 Human and vervet gut microbiomes react differently to a Western diet. Relative abundances of key a phyla and b genera in humans
and vervets consuming non-Western and Western diets. Discussion Western humans are from Italy (Schnorr et al. [3]) and the USA (Yatsunenko et al. [2]). Non-Western humans are from Tanzania (Hadza, Schnorr et al. [3]), Venezuela (Guahibo, Yatsunenko et al. [2]), and Malawi (Yatsunenko et al. [2]). Stars indicate significant differences (FDR-corrected p < 0.05) in relative abundances between diets for both humans and vervets. However, Bacteroides
relative abundances were not significantly different between diets for vervets Amato et al. Microbiome (2015) 3:53 Page 5 of 9 exposure to local microbial pools, and antibiotic use. Like-
wise, future studies must control for the potential effects
of non-human primate captivity such as host social
contact networks and early life influences on the gut
microbiota. However, it is unlikely that the results we
present here are primarily driven by these potential
confounds. Patterns in confounding factors such as
antibiotic use across populations of the same host are
likely to be similar for both humans and vervets, with
Western humans and captive vervets generally having
more exposure to antibiotics than non-Western humans
and wild vervets. Therefore, while diet may not be the
only factor causing differences between populations of the
same host species, the comparisons of patterns between
the two host species remains valid. Additionally, the
captive population of vervets was taken from St. Kitts
between 1975 and 1980. As a result, the two popula-
tions are only separated by 3–8 generations, reducing
the impact of host genetics as a potential confound for
the vervets. genes in the vervets compared to the humans. Instead,
the effect of a Western diet on the vervet gut microbiota
was driven by distinct patterns in microbial taxa and genes
compared to humans. Many of the patterns we detected in both vervets and
humans have been reported in other studies. For ex-
ample, we observed elevated microbial richness and
higher relative abundances of Prevotella in non-Western
humans and elevated relative abundances of Bacteroides
in Western humans. These results are concordant with a
study of the human gut microbiota that associates diets
high in protein and animal fat with high levels of Bacter-
oides and diets high in plant carbohydrates with high
levels of Prevotella [23, 33]. Similarly, all published stud-
ies of Western and non-Western humans to-date report
higher microbial richness and higher relative abundances
of Prevotella in non-Western populations [2–6, 34]. Discussion In
contrast, vervets on a Western diet showed similar micro-
bial richness and higher relative abundances of Prevotella,
a change that is mirrored in the macaque model [12]. In addition, we detected an elevated relative abundance
of Collinsella in humans on a Western diet, and Collinsella
has been associated with obesity in other studies of humans
[35]. Similarly, while decreased relative abundances of Bac-
teroidetes coupled with increased relative abundances of
Firmicutes, like those we observed in Western humans
from the USA, are not reported in many studies comparing
Western and non-Western humans [4, 5, 34]; they have
been associated with obesity in human and mouse studies
[36]. In our TWD-fed vervets, we measured the opposite
patterns, and these findings are analogous to previous work
contrasting a high-fat diet to a captive control (chow) diet
in a macaque model (Macaca fuscata) where a shift to a
high-fat diet also resulted in significant increases in Bacter-
oidetes, especially Prevotella and no significant variations in
Firmicutes [12]. Despite the comparison of multiple datasets in this
analysis, studies generally indicate that host diet has the
strongest effect on the gut microbiota compared to other
factors [37], reducing the potential for confounding fac-
tors associated with different host populations to drive
the observed patterns. For example, when human studies
broadly
control
for
host
ethnic
backgrounds,
they
continue to illustrate strong impacts of Western and non-
Western diets, suggesting that differences in gut micro-
biota composition between populations of the same host
species with distinct diets are unlikely to be genetically-
driven [6]. Furthermore, although the vervet Western diet
is distinct from a human Western diet, it is important to
note that Western and non-Western human diets vary
markedly across populations (e.g., USA vs. Italy and
Malawi vs. Venezuela vs. Tanzania; [2, 3]). Despite differ-
ences within these diet categories, Western and non-
Western human populations still cluster together in terms
of gut microbiota composition, and other studies compar-
ing Western and non-Western humans consistently report
similar patterns [2–6, 34], suggesting that differences in the
human and vervet gut microbiota are not driven by subtle
variation in the composition of either a Western or non-
Western diet or by idiosyncrasies in the selected datasets. Discussion Likewise, while the data we present were not all generated
using the same methodology, the potential effects of dis-
tinct DNA extraction protocols, PCR primers, or sequen-
cing platforms on gut microbiota data have been shown to
be small [38, 39] compared to the effects of diet. Addition-
ally, all DNA extractions utilized bead-beating step, which
reduces extraction bias [40], and our use of the same
closed-reference OTU picking pipeline (see methods)
on rarefied data also reduces the potential effect of se-
quencing error and read depth on the results [41]. These commonalities suggest that our results are not
unique to the human and vervet populations that we ex-
amined in this study. The human gut microbiota and its
response to an easy-to-digest Western diet that is low in
fiber differ fundamentally from the non-human primate
gut microbiota. These findings provide the first evidence
implying a specialization of the human gut microbiota. Therefore, while non-human primates may serve as
comparative biomedical models for other aspects of hu-
man physiology [28], we suggest that the non-human
primate gut microbiota may not provide an ideal direct
model for understanding the effect of the human gut
microbiota on host metabolism and nutrition in the
context of a Western diet. It is important to note that both the human and vervet
data used in this study compare distinct populations, and
therefore it is impossible to control for potential non-diet
influences on the gut microbiota such as host genetics, Page 6 of 9 Amato et al. Microbiome (2015) 3:53 protein, high-fat diet can impact the gut microbiota
almost immediately in humans, and changes are similar
to those observed across populations with distinct diets
[24], suggesting that a 6-month interval was sufficient. Although the captive vervets weighed more than the
wild vervets both before and after the diet challenge,
indicating an effect of captivity on body weight, this
effect is likely a result of increased food availability and
decreased activity, both of which would be expected to
exacerbate weight gain and negative health outcomes
on a Western diet, not mitigate them. While additional
research is necessary to confirm and examine this pat-
tern in more detail, we suggest that a side effect of the
proposed unique human gut microbiota may be an
increased susceptibility to obesity and metabolic disor-
ders, particularly when hosts are consuming a high-
protein, high-fat diet. Discussion If the non-human primate gut
microbiota does, in fact, possess properties that make it
resistant to obesity when subjected to a Western diet, it
may open new avenues of exploration for translational
metabolic therapies. What might confer this resistance
and whether it can be maintained over generations of
Western diet consumption remains to be investigated,
but understanding these factors could help develop
treatments to improve human resistance to obesity via
the gut microbiota. Therefore, while we cannot completely eliminate the
biases of study-specific methodology on this dataset,
we are confident that the patterns presented are
biologically-driven. Although data for other non-human primate taxa must
be collected, we propose two explanations for the distinct
responses of the human and non-human primate gut
microbiota to diet. First, it is possible that the unique
properties observed in the human gut microbiota are
simply the result of unique human diet and physiology
(namely an easy-to-digest, meat-heavy diet and increased
brain size, reduced gut size, increased fat deposition, and
decreased muscle mass [17–19]). Since both host diet and
physiology drive gut microbiota composition [42], evolu-
tionary changes in human diet and physiology could have
easily led to a distinct gut microbiota. Another possible
explanation is that, in addition to other factors such as
diet, unique properties of the human gut microbiota con-
tributed to the evolution of human physiology. For ex-
ample, if over time the human gut microbiota shifted in a
way that confers an increased capacity for energy produc-
tion and storage, it could have promoted increased brain
size during human evolution. Similarly, because the hu-
man gut microbiota plays a role in regulating host energy
intake and fat production [43], and an increased capacity
to store energy as fat has been hypothesized to have en-
abled humans to develop larger brains [18, 19], changes in
the gut microbiota that affected host metabolic pathways
could have contributed to the evolution of the human
brain as well. To distinguish between these two alterna-
tives, further studies are necessary that measure the meta-
bolic
potential of the
human
and
non-human
gut
microbiota and more directly compare the physiological
consequences of consuming a Western diet. However, a
recent study suggests that large-brained primates endure
seasonal periods of food limitation more successfully than
small-brained primates [44]. Conclusions Although animal models such as non-human primates
are commonly used to test mechanisms of human gut
microbe interactions, direct comparisons of the influ-
ence of commonly investigated factors on the gut micro-
biota of humans and non-human primates are lacking. This study demonstrates that similar host diets differen-
tially affect the human and non-human primate gut
microbiota. These results indicate that non-human pri-
mates are not appropriate models for directly testing the
relationships between human diet, physiology and the gut
microbiota. However, the observed patterns have implica-
tions for human evolution since they suggest an association
between the gut microbiota and unique shifts in human
diet and physiology across evolutionary time. A more de-
tailed examination of this association has the potential to
transform our understanding of the role of gut microbes in
human biology. Finally, our data indicated that, in addition to the gut
microbiota, the physiological responses of humans and
non-human primates to a Western diet may be distinct. Although vervets have an adverse metabolic reaction to a
Western diet and can become obese in captivity [46, 47],
most of the TWD-fed vervets did not gain weight during
the study (Additional file 1: Table S8). It is possible that
two factors restricted vervet weight gain: (1) finite food
availability and (2) study duration (6 months). We regard
these factors as unlikely to be limiting because the ver-
vets were provided with enough food to result in a
10 % daily surplus, and no obvious reduction in food
intake was observed [47]. Moreover, a sufficiently high- Discussion Together with evidence that
gut microbes compensate for periodically reduced energy
intake in some wild primates [45], these data could indicate
a role for the gut microbiota in buffering hosts nutritionally
against energetically expensive physiological adaptations. Sample collection and processing
l
b
d
l DNA was extracted from rectal swabs
using a MoBio UltraClean Soil DNA Isolation kit
(MoBio, Carlsbad, CA, USA) per manufacturer instruc-
tions. The V1–V3 region of the bacterial 16S rRNA
gene was amplified using pyrotagged primers (MID 1-15)
27f and 534r. Amplicons were checked for specificity
with gel electrophoresis and cleaned using the AMPure
XP system (Beckman Coulter, Danvers, MA, USA). Amplicons were sequenced using 454 pyrosequencing
technology at the J. Craig Venter Institute and/or the
University of Illinois KECK Center. No differences
were seen in the microbial taxonomic distributions of
samples sequenced at both sequencing centers. There-
fore, sequencing center was eliminated as a possible
effect. Chao1 diversity estimates were produced for each
sample using QIIME. We also predicted the metagen-
ome associated with each sample using Phylogenetic
Investigation of Communities by Reconstruction of
Unobserved States (PICRUSt 1.0.0) [27] after normal-
izing for 16S copy number. The average Nearest Se-
quenced Taxon Index was 0.11 ± 0.03, with Western
humans falling at the lower end of the range and non-
Western humans and vervets falling at the higher end. We tested for significant differences between wild
and TWD vervets as well as Western and non-Western
humans from each human study. Although inter-study
effects on patterns of gut microbial community com-
position have been demonstrated to be low [38, 39], we
tested for the effect of diet within each individual data-
set independently to eliminate the potential for con-
founding factors. Principle coordinate analyses based
on unweighted and weighted UniFrac distances were
used to visualize differences in gut microbial commu-
nity composition among populations. PERMANOVA (R
software, version 3.0.2, adonis package) was used to test
for the effect of diet on microbial community compos-
ition and predicted metagenomes for all three datasets. Similarly, for each dataset, we tested for differences in
the relative abundances of microbial taxa and genes be-
tween wild and TWD vervets or between Western and
non-Western humans using a series of Kruskal-Wallis
tests at each taxonomic level. p values were adjusted
using either a family-wide detection rate (microbial
taxonomy) or a Bonferroni correction (predicted meta-
genomes). All statistics were performed using QIIME’s
implementation of R. Raw sequence data from non-Western and Western
human populations published by Yatsunenko et al. [2] and
Schnorr et al. [3] were also obtained for analysis. Non-
Western human populations were sampled in Malawi,
Venezuela (Guahibo Amerindians), and Tanzania (Hadza). Sample collection and processing
l
b
d
l Rectal swabs were used to sample the gut microbiota of
27 wild and captive vervets. In January 2010, 15 wild
vervet monkeys were captured, sampled, and released on
the island of St. Kitts. Wild vervets on St. Kitts are not
provisioned and consume mainly ripe fruits, flowers, and
seeds [48]. We considered this a non-Western diet. In Page 7 of 9 Page 7 of 9 Amato et al. Microbiome (2015) 3:53 database with OTUs defined as sharing ≥97 % identity. This strategy made it possible to compare patterns
across studies despite the use of different primers and/
or sequencing platforms and reduced the impact of se-
quencing error on the data. Due to the use of 454 tech-
nology in two of the datasets, we rarefied the number of
sequences from each sample to 1000 for all studies. Previ-
ous studies suggest that this level allows for meaningful
comparison [50]. Additionally, nine TWD vervet samples
were removed from analysis as a result of unusually high
relative abundances of Brachyspira. Several Brachyspira
species are known gut pathogens, and loose stools were
observed in some of the enclosures during the diet trial. Removing these samples did not affect the overall patterns
observed in beta diversity within and across studies
(Additional file 1: Figure S4, S5) but did lead to Brachy-
spira relative abundances in a more typical range. September 2009, 23 vervets at the Wake Forest University
Primate Center were sampled in a similar manner. These
vervets are directly descended from the St. Kitts popula-
tion (with an initial group obtained in 1975) and were fed a
typical Western human diet (TWD; LabDiet 5L0P, Purina,
St. Louis, MO; 18 % protein, 37 % fat, 45 % carbohydrates,
9 % fiber) for 6 months before sampling. Sampling of and
care for the captive TWD vervets was approved by the
Institutional Animal Care and Use Committee at Wake
Forest University (IACUC #A10-091). Sampling of the wild
monkeys was approved by the University of Illinois Institu-
tional Animal Care and Use Committee (IACUCs #08044,
#11046) as well as the University of California Los Angeles
IACUC (#2009-053-13). All sampling was carried out in ac-
cordance with the approved guidelines at each institution. All rectal swabs were immediately placed in RNAlater
(Qiagen Inc., Valencia, CA, USA) and stored at −80 °C
until processing. Data analysis
All All sequence data were quality filtered so that se-
quences shorter than 200 nt, longer than 1000 nt, con-
taining incorrect primer sequences, more than six
ambiguous base calls and/or homopolymers longer
than 7 nt were discarded, resulting in 387,785,923
sequences across all studies. All subsequent data ana-
lyses were performed using QIIME (version 1.8.0)
[49]. Operational taxonomic units (OTUs) were picked
closed-reference
against
the
Green
Genes
13_8 Sample collection and processing
l
b
d
l Western human populations were sampled in the USA
and Italy. Only individuals between the ages of 18 and 50
were included from the Yatsunenko et al. [2] dataset
(Malawi/Venezuela N = 76 people, USA N = 118 people),
while all samples from Schnorr et al. [3] were included
(Hadza N = 17 people, Italy N = 11 people). References References
1. Turnbaugh PJ, Ridaura VK, Faith JJ, Rey FE, Knight R, Gordon HA. The effect of
diet on the human gut microbiome: a metagenomic analysis in humanized
gnotobiotic mice. Sci Transl Med. 2009;1:6ra14. 2. Yatsunenko T, Rey FE, Manary MJ, Trehan I, Dominguez-Bello MG, Contreras M,
et al. Human gut microbiome viewed across age and geography. Nature. 2012;486(7402):222–7. 3. Schnorr SL, Candela M, Rampelli S, Centanni M, Consolandi C, Basaglia G, et
al. Gut microbiome of Hadza hunter-gatherers. Nat Comm. 2014;5:3654. doi:10.1038/ncomms4654. 4. Obregon-Tito AJ, Tito RY, Metcalf JL, Sankaranarayanan K, Clemente JC,
Ursell LK, et al. Subsistence strategies in traditional societies distinguish gut
microbiomes. Nat Comm. 2015;6:6505. 5. Clemente JC, Pehrsson EC, Blaser MJ, Sandhu K, Gao Z, Wang B, et al. The
microbiome of uncontacted Amerindians. Sci Adv. 2015;1(3):e1500183. 6. Ou J, Carbonero F, Zoetendal EG, DeLaney JP, Wang M, Newton K, et al. Diet, microbiota, and microbial metabolitesin colon cancer risk in rural
Africans and African-Americans. Am J Clin Nutr. 2013;98(1):111–20. 7. Hu F, van Dam R, Liu S. Diet and risk of type II diabetes: the role of types of
fat and carbohydrate. Diabetol. 2001;44:805–17. 8. Ley RE. Obesity and the human microbiome. Curr Opin Gastroenterol. 2010;26(1):5–11. 1. Turnbaugh PJ, Ridaura VK, Faith JJ, Rey FE, Knight R, Gordon HA. The effect of
diet on the human gut microbiome: a metagenomic analysis in humanized
gnotobiotic mice. Sci Transl Med. 2009;1:6ra14. 1. Turnbaugh PJ, Ridaura VK, Faith JJ, Rey FE, Knight R, Gordon HA. The effect of
diet on the human gut microbiome: a metagenomic analysis in humanized
gnotobiotic mice. Sci Transl Med. 2009;1:6ra14. 1. Turnbaugh PJ, Ridaura VK, Faith JJ, Rey FE, Knight R, Gordon HA. The effect of
diet on the human gut microbiome: a metagenomic analysis in humanized
gnotobiotic mice. Sci Transl Med. 2009;1:6ra14. 29. Gray SB, Langefeld CD, Ziegler JT, Hawkins GA, Wagner JD, Howard TD. Single-nucleotide polymorphisms in the TBF gene are associated with
obesity-related phenotypes in vervet monkeys. Obesity. 2011;15:1427–32. 2. Yatsunenko T, Rey FE, Manary MJ, Trehan I, Dominguez-Bello MG, Contreras M,
et al. Human gut microbiome viewed across age and geography. Nature. 2012;486(7402):222–7. 2. Yatsunenko T, Rey FE, Manary MJ, Trehan I, Dominguez-Bello MG, Contreras M,
et al. Human gut microbiome viewed across age and geography. Nature. 2012;486(7402):222–7. 30. Kavanagh K, Fairbanks LA, Bailey JN, Jorgensen MJ, Wilson M, Zhang L, et al. Availability of supporting data The raw sequence files supporting the results of this art-
icle are available in the EBI repository, [deposited upon
acceptance]. Page 8 of 9 Page 8 of 9 Page 8 of 9 Amato et al. Microbiome (2015) 3:53 Authors’ contributions KRA wrote the manuscript. KRA and CJY analyzed the data. CJY and GC
processed the vervet samples. CAS, JDC, MEBM, AG, TRT, BAW, RMS, KEN, BAW,
RK, and SRL provided feedback on the manuscript. SRL, RMS, KEN, BAW, and
BAW provided funding. All authors read and approved the final manuscript. 13. Kisidayova S, Varadyova Z, Pristas P, Piknova M, Nigutova K, Petrzelkova KJ,
et al. Effects of high- and low-fiber diets on fecal fermentation and
fecal microbial populations of captive chimpanzees. Am J Primatol. 2009;71:548–57. Received: 20 May 2015 Accepted: 29 September 2015 Received: 20 May 2015 Accepted: 29 September 2015 28. Jasinska AJ, Schmitt CA, Service SK, Cantor RM, Dewar K, Jentsch JD, et al. Systems biology of the vervet monkey. ILAR J. 2013;54(2):122–43. Acknowledgements 14. Leonard WR, Snodgrass JJ, Robertson ML. Effects of brain evolution on
human nutrition and metabolism. Annu Rev Nutr. 2007;27:311–27. This work was supported by the NSF grant #0935347 (Human Origins
Moving in New Directions – HOMINID, PI: Rebecca M. Stumpf), NSF grant
BCS-0820709 (PI: Rebecca M. Stumpf), NCRR P40 grant #RR019963 and VA
contract #VA247-P-0447 (PI: Jay Kaplan) and the NIH grant #5R01RR016300
(Integrated genetic and genomic resources for a model system, PI: Nelson
Freimer). The authors are especially grateful to Jay Kaplan, Matt Jorgensen, and
Nelson Freimer for providing samples from the Wake Forest University-UCLA-VA
Vervet Research Colony and to Klara Petrzelkova and WWF, Bayanga CAR for
facilitating access to mangabey samples. They also wish to thank Marcus Gillis
and Manolito Torralba for assistance in sequencing at JCVI. Nelson Freimer and
Ania Jasinska provided helpful commentary. 15. Teaford MF, Ungar PS. Diet and the evolution of the earliest human ancestors. PNAS. 2000;97(25):13506–11. 16. Carmody RN, Wrangham RW. The energetic significance of cooking. J Human
Evol. 2009;57(4):379–91. 17. Aiello LC, Wheeler P. The expensive-tissue hypothesis: the brain and digestive
system in human and primate evolution. Curr Anthr. 1995;32(2):199–221. 18. Kuzawa CW. Adipose tissue in human infancy and childhood: an
evolutionary perspective Yearb Phys Anthropol 1998 41 177 209 8. Kuzawa CW. Adipose tissue in human infancy and childhood: an 18. Kuzawa CW. Adipose tissue in human infancy and childhood: an
evolutionary perspective. Yearb Phys Anthropol. 1998;41:177–209. 18. Kuzawa CW. Adipose tissue in human infancy and childhood: an
evolutionary perspective. Yearb Phys Anthropol. 1998;41:177–209. 19. Leonard WR, Robertson ML, Snodgrass JJ, Kuzawa CW. Metabolic correlates
of hominid brain evolution. Comp Biochem Physiol A. 2003;135:5–15. 20. Wlasiuk G, Nachman MW. Adaption and constraint at toll-like receptors in
primates. Mol Biol Evol. 2010;27(9):2172–86. Additional file 9. Larsen N, Vogensen FK, van den Berg FWJ, Nielsen DS, Andreasen AS,
Pedersen BK, et al. Gut microbiota in human adults with type 2 diabetes
differs from non-diabetic adults. PLoS One. 2010;5(2):e9085. Competing interests Competing interests 11. Faith JJ, McNulty NP, Rey FE, Gordon JI. Predicting a human gut microbiota’s
response to diet in gnotobiotic mice. Science. 2011;333:101–4. The authors declare that they have no competing interests. 12. Ma J, Prince AL, Bader D, Hu M, Ganu R, Baquero K, et al. High-fat maternal
diet during pregnancy persistently alters the offspring microbiome in a
primate model. Nat Comm. 2014;5:3889. doi:10.1038/ncomms4889. 34.
Martinez I, Stegen JC, Maldonado-Gomez MX, Eren AM, Siba PM, Greenhill AR,
et al. The gut microbiota of rural Papua New Guineans: Composition, diversity
patterns, and ecological processes. Cell Rep. 2015;11:527–38. Additional file 1: Supplementary tables and figures. (DOC 2591 KB) 10. Hosseini E, Grootaert C, Verstraete W, Van de Wiele T. Propionate as a
health-promoting microbial metabolite in the human gut. Nutr Rev. 2011;69(5):245–58. doi:10.1111/j.1753-4887.2011.00388.x. Author details
1D
f 1Department of Anthropology, Northwestern University, Evanston, USA. 2Department of Anthropology, University of Colorado Boulder, Boulder, USA. 3BioFrontiers Institute, University of Colorado Boulder, Boulder, USA. 4Department of Range Sciences, Montana State University, Bozeman, USA. 5Department of Anthropology, University of Illinois, Urbana, USA. 6Department of Anthropology, Boston University, Boston, USA. 7Department
of Sociology, Anthropology, and Women’s Studies, American Military
University and American Public University, Charles Town, USA. 8The Institute
for Genomic Biology, University of Illinois, Urbana, IL 61801, USA. 9Department of Ecology, Evolution, and Behavior, University of Minnesota,
Minneapolis, USA. 10Department of Anthropology, University of Wisconsin,
Milwaukee, USA. 11Department of Genetics, University of the Free State,
Bloemfontein, South Africa. 12Department of Microbiology, University of
Illinois, Urbana, USA. 13The J. Craig Venter Institute, Rockville, USA. 1Department of Anthropology, Northwestern University, Evanston, USA. 2Department of Anthropology, University of Colorado Boulder, Boulder, USA. 3BioFrontiers Institute, University of Colorado Boulder, Boulder, USA. 4Department of Range Sciences, Montana State University, Bozeman, USA. 5Department of Anthropology, University of Illinois, Urbana, USA. 6Department of Anthropology, Boston University, Boston, USA. 7Department
of Sociology, Anthropology, and Women’s Studies, American Military
University and American Public University, Charles Town, USA. 8The Institute
for Genomic Biology, University of Illinois, Urbana, IL 61801, USA. 9Department of Ecology, Evolution, and Behavior, University of Minnesota,
Minneapolis, USA. 10Department of Anthropology, University of Wisconsin,
Milwaukee, USA. 11Department of Genetics, University of the Free State,
Bloemfontein, South Africa. 12Department of Microbiology, University of
Illinois, Urbana, USA. 13The J. Craig Venter Institute, Rockville, USA. 14
15 21. Casanova JL, Abel L, Quintana-Murci L. Human TLRs and IL-1Rs in host
defense: Natural insights from evolutionary, epidemiological, and clinical
genetics. Immunology. 2011;29:447–91. 22. Kargman S, Charleson S, Cartwright M, Frank J, Riendeau D, Mancini J, et al. Characterization of prostaglandin G/H synthase 1 and 2 in rat, dog, monkey,
and human gastrointestinal tracts. Gastroenterol. 1996;111(2):445–54. 23. Wu GD, Chen J, Hoffmann C, Bittinger K, Chen YY, Keilbaugh SA, et al. Linking long-term dietary patterns with gut microbial enterotypes. Science. 2011;334:105–8. 24. David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, et
al. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2014;505:559–66. doi:10.1038/nature12820. 25. Tremaroli V, Backhed F. Functional interactions between the gut microbiota
and host metabolism. Nature. 2012;489:242–9. 14Department of Animal Sciences, University of Illinois, Urbana, USA. 15School
of Medicine, University of California San Diego, La Jolla, USA. Author details
1D
f 16Center for
Neurobehavioral Genetics, University of California, Los Angeles, CA, USA. 14Department of Animal Sciences, University of Illinois, Urbana, USA. 15School
of Medicine, University of California San Diego, La Jolla, USA. 16Center for
Neurobehavioral Genetics, University of California, Los Angeles, CA, USA. 26. Moeller AH, Li Y, Ngole EM, Ahuka-Mendeke S, Lonsdorf EV, Pusey AE, et al. Rapid changes in the gut microbiome during human evolution. PNAS. 2014;111(46):16431–5. doi:10.1073/pnas.1419136111. 27. Langille MGI, Zaneveld J, Caporaso JG, McDonald D, Knights D, Reyes JA, et
al. Predictive functional profiling of microbial communitiesusing 16S rRNA
marker gene sequences. Nat Biotech. 2013;8:1–10. Received: 20 May 2015 Accepted: 29 September 2015 References Characterization and heritability of obesity and associated risk factors in
vervet monkeys. Obesity. 2007;15:1666–74. 3. Schnorr SL, Candela M, Rampelli S, Centanni M, Consolandi C, Basaglia G, et
al. Gut microbiome of Hadza hunter-gatherers. Nat Comm. 2014;5:3654. doi:10.1038/ncomms4654. 3. Schnorr SL, Candela M, Rampelli S, Centanni M, Consolandi C, Basaglia G, et
al. Gut microbiome of Hadza hunter-gatherers. Nat Comm. 2014;5:3654. doi:10.1038/ncomms4654. 31. Jaffe KE, Isbell LA. The guenons: polyspecific associations in socioecological
perspective. In: Campbell C, Fuentes A, MacKinnon KC, Bearder SK, Stumpf RM,
editors. Primates in perspective. Second Editionth ed. New York: Oxford
University Press; 2011. p. 277–99. 4. Obregon-Tito AJ, Tito RY, Metcalf JL, Sankaranarayanan K, Clemente JC,
Ursell LK, et al. Subsistence strategies in traditional societies distinguish gut
microbiomes. Nat Comm. 2015;6:6505. 4. Obregon-Tito AJ, Tito RY, Metcalf JL, Sankaranarayanan K, Clemente JC,
Ursell LK, et al. Subsistence strategies in traditional societies distinguish gut
microbiomes. Nat Comm. 2015;6:6505. 32. Aarnink A, Jacquelin B, Dauba A, Hebrard S, Moureaux E, Muller-Trutwin M,
et al. MHC polymorphism in Caribbean African green monkeys. Immunogen. 2014;66(6):353–60. 5. Clemente JC, Pehrsson EC, Blaser MJ, Sandhu K, Gao Z, Wang B, et al. The
microbiome of uncontacted Amerindians. Sci Adv. 2015;1(3):e1500183. 5. Clemente JC, Pehrsson EC, Blaser MJ, Sandhu K, Gao Z, Wang B, et al. The
microbiome of uncontacted Amerindians. Sci Adv. 2015;1(3):e1500183. 6. Ou J, Carbonero F, Zoetendal EG, DeLaney JP, Wang M, Newton K, et al. Diet, microbiota, and microbial metabolitesin colon cancer risk in rural
Africans and African-Americans. Am J Clin Nutr. 2013;98(1):111–20. 33. De Filippo C, Cavalieri D, Di Paola M, Ramazzotti M, Poullet JB, Massart S, et
al. Impact of diet in shaping gut microbiota revealed by a comparative
study in children from Europe and rural Africa. PNAS. 2010;107(33):14691–6. 7. Hu F, van Dam R, Liu S. Diet and risk of type II diabetes: the role of types of
fat and carbohydrate. Diabetol. 2001;44:805–17. 34. Martinez I, Stegen JC, Maldonado-Gomez MX, Eren AM, Siba PM, Greenhill AR,
et al. The gut microbiota of rural Papua New Guineans: Composition, diversity
patterns, and ecological processes. Cell Rep. 2015;11:527–38. 8. Ley RE. Obesity and the human microbiome. Curr Opin Gastroenterol. 2010;26(1):5–11. Page 9 of 9 Page 9 of 9 Amato et al. Microbiome (2015) 3:53 Amato et al. Microbiome (2015) 3:53 35. Turnbaugh PJ, Hamady M, Yatsunenko T, Cantarel BL, Duncan A, Ley RE, et
al. References A core gut microbiome in obese and lean twins. Nature. 2009;457:480–4. 36. Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An
obesity-associated gut microbiome with increased capacity for energy
harvest. Nature. 2006;444(21):1027–31. harvest. Nature. 2006;444(21):1027–31. 37. Xu ZZ, Knight R. Dietary effects on human gut microbiome diversity. Br J
Nutr. 2015;113(S1):S1–5. 38. Lozupone C, Stombaugh J, Gonzalez A, Ackermann G, Wendel D, Vasquez-
Baeza Y, et al. Meta-analysis studies of the human microbiota. Genome Res. 2013;23:1704–14. doi:10.1101/gr.151803.112. 39. Wesolowski-Andersen A, Bahl MI, Carvalho V, Kristiansen K, Sicheritz-Ponten T,
Gupta R, et al. Choice of bacterial DNA extraction method from fecal material
influences community structure as evaluated by metagenomic analysis. Microbiome. 2014;5(2):19. 40. Walker AW, Martin J, Scott P, Parkhill J, Flint HJ, Scott KP. 16s rRNA gene-
based profiling of the human infant gut microbiota is strongly influenced
by sample processing and PCR primer choice. Microbiome. 2015;3:26. 41. Schloss PD, Gevers D, Westcott SL. Reducing the effects of PCR
amplification and sequencing artifacts on rRNA-based studies. PLoS One. 2011;6(12):e27310. 42. Dethlefsen L, Eckburg PB, Bik EM, Relman DA. Assembly of the human intestinal
microbiota. Trends Ecol Evol. 2006;21(9):517–23. 43. Backhed F, Ding H, Wang T, Hooper LV, Koh GY, Nagy A, et al. The gut
microbiota as an environmental factor that regulates fat storage. PNAS. 2004;101:15718–23. 44. van Woerden JT, Willems EP, Van Schaik CP, Isler K. Large brains buffer
energetic effects of seasonal habitats in catarrhine primates. Evol. 2012;66(1):191–9. 45. Amato KR, Leigh SR, Kent A, Mackie RI, Yeoman CJ, Stumpf RM, et al. The
gut microbiota appears to compensate for seasonal diet variation in the
wild black howler monkey (Alouatta pigra). Microb Ecol. 2014;69(2):434–43. doi:10.1007/s00248-014-0554-7. 46. Voruganti VS, Jorgensen MJ, Kaplan JR, Kavanagh K, Rudel LL, Temel R, et al. Significant genotype by diet (GxD) interaction effects on cardiometabolic
responses to a pedigree-wide, dietary challenge in vervet monkeys
(Chlorocebus aethiops sabaeus). Am J Primatol. 2013;75(5):491–9. 47. Jorgensen MJ, Aycock ST, Clarkson TB, Kaplan JR. Effects of a Western-type diet
on plasma lipids and other cardiometabolic risk factors in African green monkeys
(Chlorocebus aethips sabaeus). J Am Assoc Lab Anim Sci. 2013;52(4):448–53. 48. Chapman C, Fedigan LM, Fedigan L. Ecological and demographic influences
on the pattern of association in St. Kitts vervets. Primates. 1988;29:417–21. 49. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello
EK, et al. Amato et al. Microbiome (2015) 3:53 References QIIME allows analysis of high-throughputcommunity sequencing
data. Nature Methods. 2010;7:335-336. 50. Hamady M, Knight R. Microbial community profiling for human microbiome
projects: Tools, techniques and challenges. Genome Res. 2009;19:1141–52. 50. Hamady M, Knight R. Microbial community profiling for human microbiome
projects: Tools, techniques and challenges. Genome Res. 2009;19:1141–52. Submit your next manuscript to BioMed Central
and take full advantage of:
• Convenient online submission
• Thorough peer review
• No space constraints or color figure charges
• Immediate publication on acceptance
• Inclusion in PubMed, CAS, Scopus and Google Scholar
• Research which is freely available for redistribution
Submit your manuscript at
www.biomedcentral.com/submit Submit your next manuscript to BioMed Central
and take full advantage of:
• Convenient online submission
• Thorough peer review
• No space constraints or color figure charges
• Immediate publication on acceptance
• Inclusion in PubMed, CAS, Scopus and Google Scholar
• Research which is freely available for redistribution
Submit your manuscript at
www.biomedcentral.com/submit Submit your next manuscript to BioMed Central
and take full advantage of:
• Convenient online submission
• Thorough peer review
• No space constraints or color figure charges
• Immediate publication on acceptance
• Inclusion in PubMed, CAS, Scopus and Google Scholar
• Research which is freely available for redistribution
Submit your manuscript at
www.biomedcentral.com/submit Submit your next manuscript to BioMed Central
and take full advantage of: Submit your next manuscript to BioMed Central
and take full advantage of: • Convenient online submission
|
https://openalex.org/W3186694034
|
https://www.researchsquare.com/article/rs-11319/v1.pdf
|
English
| null |
Imputation benchmark of β-value and M-value from DNA methylation data under different missing data mechanisms.
|
Research Square (Research Square)
| 2,020
|
cc-by
| 567
|
Preprint: Please note that this article has not completed peer review. Preprint: Please note that this article has not completed peer review. CURRENT STATUS: UNDER REVISION CURRENT STATUS: UNDER REVISION methylation, M-value, β-value, Missing data mechanisms, MCAR, 1 1 Abstract Background: High-throughput technologies enable the cost-effective collection and analysis of DNA
methylation data throughout the human genome. This naturally entails missing values management
that can complicate the analysis of the data. Several general and specific imputation methods are
suitable for DNA methylation data. However, there are no detailed studies of their performances
under different missing data mechanisms -(completely) at random or not- and different
representations of DNA methylation levels (β and M-value). Results: We make an extensive analysis of the imputation performances of seven imputation methods
on simulated missing completely at random (MCAR), missing at random (MAR) and missing not at
random (MNAR) methylation data. We further consider imputation performances on the β- and M-
value popular representations of methylation levels. Overall, β -values enable better imputation
performances than M-values. Imputation accuracy is lower for mid-range β -values, while it is
generally more accurate for values at the extremes of the β -value range. The MAR values distribution
is on the average more dense in the mid-range in comparison to the expected β -value distribution. As
a consequence, MAR values are on average harder to impute. Conclusions: The results of the analysis provide guidelines for the most suitable imputation
approaches for DNA methylation data under different representations of DNA methylation levels and
different missing data mechanisms. Full Text Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF. Figures 2 Figure 1
β-value distributions of different missingness mechanisms. Comparison of the β-value
distribution against the distribution of simulated MCAR, MAR and MNAR missing values. Figure 1
β-value distributions of different missingness mechanisms. Comparison of the β-value β-value distributions of different missingness mechanisms. Comparison of the β-value
distribution against the distribution of simulated MCAR, MAR and MNAR missing values. 3 3 Figure 2 Figure 2 β-value distributions of CpGs with frequently missing values. Comparison of the β-value
distribution against the β-value distribution of CpGs with missing values on > 20%;> 25%;>
30% samples. MAR simulated distribution included. β-value distributions of CpGs with frequently missing values. Comparison of the β-value
distribution against the β-value distribution of CpGs with missing values on > 20%;> 25%;> 30% samples. MAR simulated distribution included. 4 5
Figure 3
Healthy datasets. Average RMSE with respect to β-value range. Average RMSE for M-value
and β-value imputation with respect to different - value ranges and with respect to the
MCAR, MAR, MNAR (low, mid, high) missing data mechanisms. Figure 3 Healthy datasets. Average RMSE with respect to β-value range. Average RMSE for M-value
and β-value imputation with respect to different - value ranges and with respect to the
MCAR, MAR, MNAR (low, mid, high) missing data mechanisms. Healthy datasets. Average RMSE with respect to β-value range. Average RMSE for M-value
and β-value imputation with respect to different - value ranges and with respect to the
MCAR, MAR, MNAR (low, mid, high) missing data mechanisms. 5 Supplementary Files This is a list of supplementary files associated with this preprint. Click to download. AdditionalFile2.pdf
AdditionalFile1.pdf AdditionalFile2.pdf
AdditionalFile1.pdf 6 6
|
W4387276480.txt
|
https://amu.hal.science/hal-03938731/document
|
en
|
Homeland in the world.
|
HAL (Le Centre pour la Communication Scientifique Directe)
| 2,022
|
cc-by
| 3,959
|
La patria nel mondo. Il mondo in una Patria.
Claudio Milanesi
To cite this version:
Claudio Milanesi. La patria nel mondo. Il mondo in una Patria.: Effetti di transculturalità e modi
di rappresentazione delle culture straniere nell’Italia del tempo presente. Enrico Deaglio, Patria
(1978-2000).. TRANSCULTURALITÀ E PLURILINGUISMI NELLA LETTERATURA ITALIANA
DEGLI ANNI DUEMILA, A cura di Alessandro Benucci, Silvia Contarini e Giuliana Pias, Franco
Cesati Editore, 2022, 978-88-7667-993-3. �hal-03938731�
HAL Id: hal-03938731
https://amu.hal.science/hal-03938731
Submitted on 23 Jan 2023
HAL is a multi-disciplinary open access
archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from
teaching and research institutions in France or
abroad, or from public or private research centers.
L’archive ouverte pluridisciplinaire HAL, est
destinée au dépôt et à la diffusion de documents
scientifiques de niveau recherche, publiés ou non,
émanant des établissements d’enseignement et de
recherche français ou étrangers, des laboratoires
publics ou privés.
Distributed under a Creative Commons Attribution 4.0 International License
Claudio Milanesi,
Aix Marseille Université, CAER, Aix-en-Provence, France
La patria nel mondo. Il mondo in una Patria. Effetti di transculturalità e modi di
rappresentazione delle culture straniere nell’Italia del tempo presente. Enrico Deaglio, Patria
(1978-2000).
Alla base di questo lavoro vi è la volontà di verificare in che modo il buon giornalismo
italiano renda conto dei fenomeni transazionali, intendendo in questo caso le
rappresentazioni dei paesi stranieri, le rappresentazioni degli italiani nel mondo, le
rappresentazioni delle influenze di paesi e fenomeni culturali, sociali e politici stranieri nella
politica, nella cultura e nella società italiana.
Il campione di osservazione prescelto è costituito dai tre volumi Patria di Enrico Deaglio che
coprono un periodo che va dal 1968 al 2020, il tutto per complessive 2250 pagine1.
Del primo volume che va dal 1978 al 2010 avevo già parlato in un convegno a Varsavia2, in
un dialogo con il compianto Remo Ceserani. Avevamo fatto una lettura incrociata del libro di
Deaglio, e Cesarani ne parlava come del “grande romanzo italiano”, mutuando l’espressione
dalla critica americana. Intendeva, per “grande romanzo italiano”, che Patria avesse i numeri
per rappresentare, sia per quello che raccontava che per come rendeva conto di vent’anni
anni di vita italiana, IL romanzo che si candidava a meglio raccontare lo spirito del paese e di
un’epoca, che diventava fra l’altro metonimia di tutta la sua storia e delle continuità che
l’avevano attraversata.
Solo che non era un romanzo. Ma una non fiction: Deaglio non inventava niente (o meglio,
stringeva un patto col lettore secondo il quale non avrebbe inventato niente)3, ma inanellava
fatti di cronaca, personaggi, citazioni di libri, evocazioni di canzoni, di film, di romanzi,
dichiarazioni di personaggi dell’epoca… Finiva così per compilare una grande narrazione
esplosa, spezzettata in mille tasselli, un grande racconto per frammenti, un patchwork in
puro stile postmoderno. Una storia globale fondata però sulla sfiducia postmoderna nella
storia globale delle grandi narrazioni novecentesche. Il grande romanzo italiano era quindi
un non romanzo sulla storia della fine del XX secolo fondato su una sostanziale sfiducia nella
capacità della Storia di inserire gli eventi in un quadro coerente. Ne risultava una sorta di
storia per microstorie, per spie, senza una direzione, priva di una filosofia della storia, e per
questo ricca, variegata, libera, laica, soggettiva e oggettiva al tempo stesso, e per tutte
queste ragioni profondamente intrigante.
1
DEAGLIO Enrico, Patria. 1978-2000, Milano,Il Saggiatore, 2010 (prima edizione Patria. 1978-2008 Milano, Il
Saggiatore, 2018), id. Patria. 1967-1977, Milano, Feltrinelli, 2017 ; id., Patria. 2011-2020, Milano, Feltrinelli,
2020.
2
Si tratta del convegno Fiction Faction Reality: incontri, scambi, intrecci nella letteratura italiana dal 1990 ad
oggi tenutosi all’Università di Varsavia nel novembre 2009.
3
Infatti, nel testo troviamo alcuni dialoghi cui lo scrittore non ha potuto assistere. Per esempio: : il colloquio fra
i reclutatori delle Brigate Rosse e patrizio Peci: “Come sarà la mia vita? Come mi mantengo?” […] “Devi
troncare tutti i rapporti con la famiglia e con il paese, cambi nome e ti diamo 200mila lire al mese, che è la paga
di un metalmeccanico, vestiti e bollette li paghiamo noi. Stai agli ordini dell’Esecutivo”, DEAGLIO Enrico, Patria.
1978-2000, cit., p. 81. Oppure: Salvo Lima risponde ai maggiorenti democristiani che lo interrogano
sull’omicidio di Piersanti Mattarella, dicendo: “Sapete, i patti vanno rispettati”, ibid., p. 90.
1
Da quel convegno di Varsavia (2009) in cui discutevamo di Patria con Ceserani, i cui atti sono
poi usciti nel 20114, sono passati 12 anni, ma sembra un secolo. Nel frattempo Deaglio ha
aumentato l’arco temporale della sua Patria: se il primo volume andava dal 1978 al 2010, il
secondo (il prequel) risale dal 1968 al 1977, il terzo (il sequel), uscito l’anno scorso, va dal
2011 al 2020.
Nel quadro di un lavoro molto più ampio (un volume collettivo sui grandi libri della non
fiction italiana, francese, spagnola e latinoamericana, ad opera del Network Non Fiction,
un’équipe di ricercatori dedicata alla ricerca sull’emergere del genere), sto cominciando un
corposo capitolo su questi tre volumi che a mio modo di vedere – e con l’autorità di Cesarani
alle spalle – costituiscono il monumento della non fiction italiana, e probabilmente europea,
pur non essendo tradotti in nessuna lingua del continente.
Il presente articolo è una sorta di spin-off di questo lavoro. La questione affrontata riguarda
la forma e la rappresentazione degli interscambi fra l’Italia e il resto del mondo in questa
storia frammentata. Quali interazioni fra l’Italia e il resto del mondo vengono raccontati fra
le microstorie selezionate da Deaglio? Che idea dei paesi stranieri appare nel “grande
romanzo italiano”? Come vengono rappresentati i fatti e i personaggi d’oltrefrontiera? E che
influenza si pensa esercitino le culture e le politiche dei Paesi Altri sulla cultura, sulla politica
sulla società della penisola?
Per far questo ho cominciato a isolare un decennio particolare, quello degli anni ’80, e sono
andato a verificare quali fossero le modalità di apparizione del resto del mondo in questa
sezione di Patria. In questo articolo prendo come esempio un triennio di storia italiana di
questo decennio in modalità Patria. Si tratta di un triennio di svolta in cui sembra
concentrarsi un grande numero di fenomeni che segnano tutta la storia italiana da allora a
oggi. Proprio come voleva la retorica del “grande romanzo americano”, è una metonimia di
tutto l’insieme. Quasi una monade che concentra il tutto nell’uno. Si tratta del triennio
1979/1981.
L’oggetto della ricerca consiste nell’analisi delle rappresentazioni del flusso degli eventi e
delle influenze straniere sui fatti italiani. E inversamente di come i fatti e i personaggi italiani
si trovino ad agire all’estero lasciando così la loro impronta fuori dai confini. La cosa può
sembrare di poco interesse. Ma non è così. In quest’epoca di mondialismo e sovranismo,
ondeggiamo fra due rappresentazioni estreme, opposte e a somma zero. Una è quella della
metafora del battito d’ala della farfalla, secondo la quale le interconnessioni della
globalizzazione avrebbero fatto sparire le differenze fra i luoghi e le culture, l’altra quella
dell’esaltazione del confine e della frontiera, del ritorno nostalgico e fantasmatico di
sovranità nazionali che si nutrirebbero da sé. Ma questi sono, appunto, solo fantasmi: da un
lato, nonostante la globalizzazione, le differenze fra le culture e i modi di vivere continuano
ad esistere, e dall’altro le frontiere sono ancora– per fortuna – permeabili. Permeabili alle
4
SERKOWSKA Hanna (a cura di), Finzione cronaca realtà. Scambi intrecci e prospettive nella narrativa italiana
contemporanea, Massa, Transeuropa, 2011. Negli atti del convegno, i due articoli in cui si discute di Patria
sono: MILANESI Claudio, « Enrico Deaglio, Bella ciao, Besame mucho, Patria: dalle storie minime alla Storia per
frammenti », pp. 69-79 e CESERANI Remo, « Il caso di un montaggio di cronache, ricordi, documenti e
interpretazioni della realtà che sembrano costruire un romanzo italiano: Patria di Enrico Deaglio », pp. 81-94.
2
merci, certo, ma permeabili anche alle idee, ai sogni e a volte anche agli uomini e alle donne,
e persino ai bambini, quando non li si fa morire di freddo al confine. Ma è da qui che voglio
partire. Mi sono chiesto che tipo di rappresentazione fornissero a questi moti dello spirito e
dei corpi le pagine di Patria. Mi sono chiesto se non ci fosse il modo, invece di bloccarsi
davanti ai fantasmi, di vedere cosa succede davvero agli albori della nostra epoca glocal.
Certo giornalismo italiano è gretto e becero. E a guardare la televisione italiana certe volte
vien de credere che l’Italia sia il centro del mondo e possa ancora “fare da sé”, appartata dal
resto, e che possa, per usare l’espressione dei proto sovranisti di inizio secolo, “tornare alla
vecchia lira”. Rileggendo Patria, ho voluto vedere se l’oltrefrontiera nel giornalismo italiano
possa esistere non solo come proiezione dei fantasmi, ma come realtà concreta, specifica,
coi suoi eventi e personaggi particolari, unici, singolari e irripetibili. Ho voluto vedere se il
buon giornalismo italiano, che esiste eccome, espanso fino a diventare non fiction, possa
essere un modo per reimmettere il mondo in Italia e l’Italia nel mondo. Ho voluto verificare
se ne emerga un‘idea transnazionale del Paese che faccia da contrasto alle deliranti posizioni
sovraniste.
Il 1980 è un anno cerniera, il passaggio fra l’impegno e il riflusso, fra l’epoca dei movimenti e
il decennio dell’edonismo reaganiano. È l’anno di Ustica e della strage di Bologna, della
marcia dei Quarantamila, degli omicidi di Carlo Casalegno e di Walter Tobagi. Ho quindi
preso in considerazione il triennio di cui il 1980 è al cuore. Il 1979, l’anno del 7 aprile e degli
omicidi di Guido Rossa e di Guido Ambrosoli. E il 1981, l’anno della P2, l’anno in cui le BR
uccidono Roberto Peci e in cui Alì Agcà non riesce a uccidere Papa Woytila. Ce n’era
abbastanza per riempire le pagine dei giornali e i telegiornali. Eppure…
Quello che mi interessava era vedere se in Patria la preminenza di eventi così sconvolgenti
finiva per inghiottire, annullandolo, lo sguardo verso l’esterno o se invece la selezione dei
frammenti significativi della cronaca teneva comunque viva la coscienza del legame
necessario fra il Paese e il resto del mondo. Così ho fatto un primo sondaggio dei frammenti
in questione per rilevare la presenza dell’estero nelle cronache italiane, il tipo di
rappresentazioni e il loro peso nell’economia della narrazione.
Non mi soffermo sull’analisi quantitativa delle presenze di queste interazioni nel testo.
L’unico dato che riporto è che nel breve spazio di tre anni (per un totale di 77 pagine), i paesi
citati perché in un qualche modo interagiscono con l’Italia (e/o perché l’Italia interagisce con
loro) sono 25.
Il grosso delle citazioni è costituito dai paesi dell’Unione europea più la Svizzera. Seguiti dalla
coppia USA/Canada. L’altro grosso insieme è costituito dai paesi dell’America Latina.
Seguono i Paesi del Medio Oriente. Vengono poi la Russia e la Somalia, che è l’unico paese
africano ad essere evocato, anche se di riflesso. Non c’è traccia dell’Estremo Oriente (Cina,
Giappone, Vietnam…) né di Australia e Nuova Zelanda. Forse il fatto che la guerra del
Vietnam fosse finita, e che in Cina, morto Mao e liquidata la Banda dei Quattro, le riforme di
Deng fossero ancora agli albori, spiega questa assenza.
Nessuna sorpresa che l’Unione Europea, con Francia e Germania in testa, e il Nordamerica
facciano la parte del leone. Più sorprendente la presenza preminente del Medio Oriente,
nonostante lo scontro di civiltà non fosse ancora iniziato, e dell’America Latina, che oggi ci
appare più lontana di quanto apparentemente non fosse allora.
3
Il mondo è cambiato da allora, inutile negarlo. Tuttavia, certe continuità “italiane” sono
quasi scioccanti. Faccio un inciso prima di tornare ai Paesi stranieri. Leggendo le cronache di
quei tre anni è come se assistessimo a una sorta di onda lunga del caso Italia: diversi
fenomeni d'attualità di allora sono realtà di lungo periodo, e certi casi raccontati in Patria e
relativi all’inizio degli anni ’80 sono ancora i nostri di oggi.
Appare stupefacente che personaggi e fenomeni del triennio rivelino una continuità che
resiste e ritorna nei quarant’anni successivi: vi sono già l’immigrazione e il razzismo (un
cittadino somalo viene bruciato vivo da una banda vicino Piazza Navona5), ci sono i
fuoriusciti della lotta armata in Francia (allora accolti dalla dottrina Mitterrand oggi sotto la
minaccia di estradizione dalla controdottrina Darmanin), c’è Berlusconi , allora occupato a
stringere un patto coi siciliani perché non gli rapiscano i figli, oggi alla ricerca di un’elezione a
Presidente della Repubblica, e c’è persino il progetto del ponte sullo stretto, allora elaborato
in Svizzera in gran segreto da Licio Gelli della P2 e Carlo Pesenti, patron dell'Italcementi. Il
ponte poi non si è fatto, ma il progetto ritorna fuori a ritmo costante come un’araba fenice,
rilanciato ancora di recente dal ministro delle Infrastrutture Giovannini6.
Ultimo degli elementi di questa onda lunga dell’attualità italiana: la violenza sulle donne,
fenomeno già diffuso allora, e rimasto di tragica attualità fino a noi. È nel 1979 che viene
trasmesso dalla RAI il Processo per stupro, il processo per la violenza perpetrata su una
ragazza da un gruppo di maschi in una villetta di Nettuno nel 1977. Durante il dibattimento,
la madre di uno degli imputati giustifica lo stupro subita dalla minorenne perché il ragazzo
“s’è andato a diverti`”; e un avvocato usa questo argomento: “Se questa ragazza fosse stata
a casa, se l’avessero tenuta presso il caminetto non le sarebbe successo tutto questo”7.
Argomenti analoghi saranno utilizzati nel 2021 da un noto comico diventato uomo politico
per minimizzare le violenze di gruppo perpetrate da suo figlio e da un gruppo di amici nei
confronti di una studentessa diciannovenne in una villa in Costa Smeralda nel 20198.
Di fronte a queste ossessioni che scavalcano il tempo, mi sono chiesto se sia lo sguardo di
Deaglio a istituire queste continuità, se sia cioè lo scrittore a selezionare, del passato, le linee
di eventi che si riverberano sul presente della scrittura. O se invece queste continuità
possiedono una loro oggettività, e in quale misura. La domanda è legittima, e riguarda
l’equilibro fra l’obiettività della conoscenza storica e il suo aspetto soggettivo, insito nella
necessità del ricorso alla narrazione. È un dibattito epistemologico di fondo che si protrae da
diversi anni. Ma nel caso di Patria non ho ancora una risposta sull’equilibrio fra conoscenza
documentata e soggettività della narrazione, e la questione resta in questa fase della ricerca
ancora aperta.
5
Il caso dell’omicidio di Ahmed Alì Giama, ingegnere e dissidente somalo, verrà evocato anche in un’altra opera
di non fiction, la cui prima edizione risale al 1983. Nel resoconto sul suo soggiorno nel carcere romano di
Rebibbia, Goliarda Sapienza racconta di avervi incontrato, fra le altre, « uno degli imputati dell’omicidio del
somalo bruciato vivo vicino a Piazza Navona » : SAPIENZA Goliarda, L’Università di Rebibbia, [1983] Torino,
Einaudi, 2012, p. 77.
6
Il Sole 24 Ore, 4 agosto 2021
7
DEAGLIO Enrico, Patria 1978-2008, cit., p. 63.
8
“Beppe Grillo difende il figlio accusato di stupro : ‘Non ha fatto niente, arestate me’”, Il Messaggero, s.d.
https://www.ilmessaggero.it/video/politica/beppe_grillo_figlio_stupro_cosa_e_successo_ultime_notizie5908927.html (consultato l ’11 dicembre 2021).
4
Torniamo ai fatti transazionali. Per quali motivi i vari Paesi vengono evocati?
La prima grande impresa transnazionale che appare in Patria è – non ce ne stupiremo – la
mafia. Onnipresente: a New York Miami Chicago Detroit, in Canada, in Belgio Germania
Francia Svizzera e Venezuela. Qui i siciliani sono emigrati, da almeno un secolo a questa
parte, qui alcuni di loro hanno fatto fortuna, chi con il lavoro chi con il crimine, da qui
mandano le loro rimesse a casa. Deaglio ricostruisce un giro vorticoso di denaro, perlopiù
sotterraneo, che a volte emerge in superficie come nel caso Sindona, il banchiere della mafia
e del Vaticano, che scende al Pierre o al Regency Hotel a Manhattan, dove convoca il
presidente di Mediobanca Enrico Cuccia e gli annuncia che il curatore fallimentare del Banco
Ambrosiano che ha osato andargli contro ha le ore contate. Ambrosoli, il curatore, che
Cuccia non avvertirà, verrà ammazzato, davanti casa, a Milano, l’11 luglio del 1979. E
nessuna autorità si farà vedere al suo funerale. Intanto, il banco Ambrosiano, prima di fallire,
di investimenti e finanziamenti all’estero ne aveva fatti: i suoi beneficiari stanno in tutto il
mondo, dal sindacato Solidarnosc nella Polonia di Lech Walesa alle dittature di Massera in
Argentina e dei Gorillas in Brasile. E in Argentina fa affari Licio Gelli della P2, che dalla ESMA,
la scuola di polizia di Buenos Aires, si faceva fare uno dei suoi tanti passaporti falsi, stampato
proprio là, dove si facevano sparire gli oppositori prima di buttarli nell’oceano dagli elicotteri
dell’esercito. Una brutta storia, il peggio dell’Italia fuori d’Italia.
Più incoraggiante è il ritratto che Deaglio fa del consiglio di fabbrica della FIAT e delle sue
aperture al mondo. Certo, nel “consiglione” si discuteva di quanto succedeva in fabbrica
(siamo poco prima del grande sciopero che finirà con la marcia dei Quarantamila) ma si
guardava anche al di là della frontiera: gli scioperi in Polonia appunto (i membri del consiglio
di fabbrica ignoravano all’epoca che fossero finanziati dal Banco Ambrosiano), i colpi di Stato
in America Latina (ignoravano che ci fosse lo zampino della P2), la rivoluzione sandinista in
Nicaragua (che è poi finita com’è finita). Grandi ideali, grandi speranze, volontà di capire non
solo il quotidiano presente, ma il quadro internazionale. E più tardi, e a Deaglio basta
evocare i fatti senza orientarne la lettura per far risaltare la loro inattualità, grandi
disillusioni della sinistra.
La FIAT: l’altra grande impresa italiana che va oltre confine è la Fiat, la sola “America
d’Italia”9. Deaglio evoca l’aspetto transnazionale della società, allora ben impiantata in Italia,
senza però evocare gli stabilimenti impiantati nel 1966 a Togliattigrad in Russia; si sofferma
piuttosto su un caso che, della grande impresa torinese, fornisce una luce particolare: chi
salvò la Fiat dal fallimento a metà degli anni ‘70 ? I fondi di investimento americani? No. Le
case concorrenti francesi o tedesche? Nemmeno. Il grande investitore straniero che aveva
salvato la prima casa automobilistica italiana era il colonnello libico Gheddafi, che comprò il
10% delle azioni della società. Proprio quel colonnello Gheddafi che secondo alcune versioni
mai acclarate sarà, il 27 giugno 1980, il bersaglio (mancato) di un missile che colpì invece un
aereo Itavia che attraversava il cielo sopra Ustica, facendo 81 vittime. Un intrigo
internazionale mai risolto.
Quella della FIAT e dell’America è un’altra lunga ossessione che culminerà nel nostro secolo
con l’arrivo di Sergio Marchionne alla direzione del gruppo e l’acquisizione di Chrysler nel
2014. Giovanni Agnelli, quando vi entra come Amministratore Delegato, dice che il Lingotto
è come “la General Motors di Detroit”, Deaglio la chiama “l’unica America d’Italia”10. E qui
cambiamo registro, e dai misteri internazionali siamo passati a un altro aspetto, quello delle
9
DEAGLIO Enrico, Patria 1978-2008, cit., p. 82.
Ibid.
10
5
mitologie esterofile dell’Italia degli anni ‘80. Certo, fra queste ci troviamo l’ammirazione
sconfinata per l’America dell’industria e del successo che leggiamo nelle parole di Agnelli.
Ma ci troviamo anche altro: per Gianna Nannini, che ha scritto un pezzo chiamato America
pubblicato in un LP intitolato California, l’America è la libertà, e l’essenza di questa libertà
celebrata nella canzone è la libertà sessuale: “fammi l’amore forte sempre più forte e io
sono l’America”11. Sempre per stare in tema di cultura giovanile, qual è il romanzo che segna
la letteratura italiana del 1981? Per Deaglio è Treno di Panna dell’esordiente Andrea De
Carlo che “narra le vicende felici di una ragazzo italiano in California, all’epoca uno dei miti
della felicità giovanile”12. Eh sì, l’America non è solo quella della mafia, della CIA e della
General Motors, ma anche quella di Andrea De Carlo e Gianna Nannini, le voci della giovane
generazione di allora che la celebrano come il mito della libertà e della felicità. E fra l’altro,
l’America sarà anche quella degli aiuti alla città di Napoli colpita dal terremoto dell’Irpinia del
23 novembre del 1980.
Per restare in tema di riferimenti culturali transnazionali, il più controverso riguarda però
Franco Piperno, l’allora leader dell’Autonomia Operaia, che parlando della strage di via Fani
in cui persero la vita i cinque uomini della scorta di Aldo Moro, parlò della “terribile
bellezza”13 dell’agguato. Citava William Butler Yeats, Piperno. Yeats aveva cantato la
”terrible beauty” dell’assalto al Post Office di Dublino della Pasqua del 1916: un gruppo di
patrioti irlandesi aveva assalito l’ufficio postale, la rivolta era fallita e poi era finita in un
bagno di sangue14. Certo, a sentir parlare di terribile bellezza della violenza politica a noi
italiani vien più in mente lo “zang zang tumb tumb” del Marinetti filofascista che il linguaggio
della sinistra. Ma tant’è. Piuttosto, vien da ricordare, ma Deaglio questa volta trascura il
riferimento, che l’assalto al Post Office era già stato decostruito e trasformato in una sorta di
commedia sprizzante sensualità e comicità da un altro scrittore francese, Raymond Quéneau
in Troppo buoni con le donne (1947), pubblicato in Italia solo nel 199215. Ma al giovane fisico
Piperno l’ironica decostruzione delle mitologie rivoluzionarie a quanto pare non piaceva
molto. Preferiva evidentemente la retorica del sangue e della morte. O forse non leggeva il
francese.
Arrivo a una prima e parziale conclusione, molto generica, in attesa di un lavoro più
sistematico: la Patria di Deaglio è un colabrodo, un passoir. Non c'è fenomeno italiano di
peso che non sia collegato a un paese "di fuori". Che sia un fenomeno criminale
(l'esportazione della mafia in mezzo mondo), un fenomeno culturale (le mitologie giovanili
rivolte alla parte migliore degli Stati Uniti), un fenomeno politico (il ruolo di Mitterrand negli
affari italiani, la protezione degli esuli degli anni di piombo, e anche il suo modello vincente
di unione delle sinistre): sempre e comunque, fra le determinanti dei fenomeni che segnano
l’attualità italiana, c'è una variabile straniera. I mafiosi emigrano in Venezuela e in USA e di là
mandano soldi in Sicilia; e i riferimenti obbligati sono i politici stranieri: Mitterrand per la
sinistra e Margaret Thatcher per la Destra; le mitologie giovanili (il sesso libero) e industriali
(la fabbrica) si nutrono di California, Detroit e New York.
11
ID., Patria 1978-2008, cit., a p. 77 cita L’America di Mauro Paoluzzi e Gianna Nannini, inclusa nell’LP di NANNINI
Gianna, California, Milano, Ricordi, 1979.
12
DEAGLIO Enrico, Patria 1978-2000, cit. p. 126.
13
ID., p. 124.
14
YEATS William Butler, Easter, 1916, composta nel settembre 1916 e pubblicata inizialmente su The New
Statesman e su The Dial nell’autunno 1920; trad. italiana in Poesie, Milano, Mondadori, 1974, p. 185.
15
QUENEAU Raymond, On est toujours trop bons avec les femmes [1947]. Traduzione italiana, Troppo buoni con
le donne, Torino, Einaudi, 1992.
6
E verso l'estero vanno, certo, gli emigrati italiani, di allora come adesso (in Svizzera, Francia,
USA), ma anche gli esuli (Francia) e gli uomini d'affari, buoni o cattivi che siano (Ferruzzi in
Argentina e USA, Sindona a New York, tornando poi a Palermo via Patrasso).
Leggere Patria è il miglior antidoto ai sovranismi attuali. Non perché plauda a un ingenuo
mondialismo, e nemmeno perché trasudi esterofilia di maniera, ma perché mostra nei fatti,
nelle circostanze, nel modo di vivere delle persone reali, quanto sia sterile e vuoto il
chiacchiericcio sulle presunte virtù di una comunità che si vorrebbe chiusa su se stessa, e
quanto invece siano intensi e inevitabili - e il più delle volte produttivi di senso oltre che di
esiti concreti - gli scambi fra la Patria e li mondo.
Per concludere. La storia, fra le tante, che mi piaciuta di più, sia per l’affettuosa ironia della
scena riportata che per il suo carattere simbolico di passaggio da un’epoca all’altra, è quella
che riguarda gli operai Fiat e le sigarette: reduci da un ciclo di lotte operaie durato un
decennio, nei primi anni ‘80 ormai fumano Marlboro, però le nascondono nei pacchetti di
MS.
7
|
|
https://openalex.org/W3116427975
|
http://revistascientificas.filo.uba.ar/index.php/RPS/article/download/9695/8506, http://repositorio.filo.uba.ar/bitstream/filodigital/11895/1/uba_ffyl_a_punto%20sur_3_1-8.pdf
|
es
|
Geografía, política y resistencias: perspectivas, casos y estrategias de abordaje
|
Punto Sur
| 2,020
|
cc-by
| 3,692
|
DOSSIER
ISSN 2683-7404
Punto Su.r3 (julio-diciembre, 2020): [1-8]
doi: 10.34096/ps.n3.9695
Presentación al Dossier
Geografía, política y resistencias: perspectivas,
casos y estrategias de abordaje
" Mariana Arzeno
CONICET - Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto de
Geografía “Romualdo Ardissone”. Buenos Aires, Argentina.
Mónica Farías
CONICET - Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto de
Geografía “Romualdo Ardissone”. Buenos Aires, Argentina.
Sam Halvorsen
School of Geography. Queen Mary University of London. Reino Unido.
Este trabajo está bajo una Licencia Creative Commons Atribución 4.0 Internacional
Introducción
El presente dossier es resultado de una serie de colaboraciones e intercambios entre
investigadores del Grupo de Estudios Geografías Emergentes del Instituto de Geografía
de la UBA (GEm-IIGEO) y de la red de trabajo Latin American Geographies in the
United Kingdom (LAG-UK), que tuvieron un hito importante en 2018 a partir de la
organización de la Mesa Redonda “Geografía y Política en América Latina: espacialidad
de y en los procesos políticos”. Dicha Mesa reunió a investigadores de distintas unidades académicas de Latinoamérica y también del Reino Unido, así como a militantes de
organizaciones sociales, interesados en debatir respecto de dos interrogantes centrales:
¿qué papel le compete a la geografía en la política de América Latina en la actualidad?
¿Cómo contribuye la disciplina a pensar lo político tanto en su dimensión teórica como
en la materialidad de las prácticas cotidianas? Las discusiones giraron en torno a los
procesos políticos de resistencias y conflictos que vienen cobrando visibilidad en las
últimas décadas en América Latina, en particular aquellos que surgen en torno a tensiones entre actores por la apropiación del espacio y organización de la vida socioespacial. La organización del dossier constituyó una instancia para materializar algunas
de las discusiones que se plantearon durante este evento –así como para sumar otras
nuevas– con el objetivo de profundizar la discusión teórica y epistemológica relativa
a la espacialidad de esos procesos políticos, en cuanto elemento indisociable de los
mismos. Otro de los objetivos ha sido el de promover el diálogo entre geógrafxs y otras
disciplinas en lo que respecta a su estudio.
En las últimas décadas en Argentina, tal como en otros países de la región, hubo un
notorio giro espacial en torno al análisis de los procesos de resistencias frente al avance y la consolidación de políticas y prácticas –por parte de privados y también del
Estado– excluyentes, desiguales y hasta violentas. Esto se evidencia, por ejemplo, en
1
DOSSIER
ISSN 2683-7404
Punto Su.r3 (julio-diciembre, 2020): [1-8]
Presentación al Dossier Geografía, política y resistencias: perspectivas, casos y estrategias de abordaje
Mariana Arzeno, Mónica Farías, Sam Halvorsen
el rol central que ha ocupado el territorio en múltiples trabajos sobre la movilización
colectiva, en donde se subraya ya sea la importancia de las identidades, los vínculos
sociales y los valores producidos en los barrios urbanos (Grimson, Ferraudi y Segura,
2009; Manzano, 2013; Merklen, 2005; Rodríguez, 2018; Rodríguez y Di Virgilio, 2016;
Svampa y Pereyra, 2009, Rossi, 2017), así como las experiencias comunitarias en zonas
extractivas y del agronegocio (Domínguez, 2009, 2016; Svampa, 2011; Wahren, 2012).
Desde el campo de la geografía algunos trabajos se han centrado específicamente en la
dimensión espacial de las movilizaciones colectivas. Por ejemplo, los trabajos de Tobío
(2011; 2014) sobre la territorialidad piquetera, los de Sznol (2007) sobre la espacialidad
de la protesta social en ámbitos urbanos y Pintos (2004) sobre la espacialidad de las
resistencias de movimientos sociales.
En este dossier nos proponemos, en primer lugar, subrayar la importancia de seguir
pensando el giro espacial en clave geográfica, es decir, desde las orientaciones epistemológicas y con las herramientas conceptuales y metodológicas del campo disciplinar
geográfico. En segundo lugar, buscamos llamar la atención acerca de la relevancia
de conceptos como el de “lugar” o ideas como “ordenamiento espacial” que no son
utilizados con tanta frecuencia como el de “territorio” para dar cuenta de los procesos
políticos. Por último, consideramos necesario destacar la variedad de actores sociales
en los procesos políticos de resistencia, actores a los que frecuentemente no se los ve
actuando e incidiendo en el plano de lo político. Por ello, este dossier busca interrogar
y problematizar el recurso del espacio y la constelación de conceptos asociados a él
(Haesbaert, 2014) que abundan en el lenguaje cotidiano de las ciencias sociales en la
actualidad. Consideramos necesario fomentar un diálogo que examine la importancia de la geografía y el de un enfoque geográfico sobre los fenómenos políticos, que
también avance en la discusión teórica sobre el espacio, el territorio y el lugar como
conceptos nodales para problematizar la dimensión espacial de los procesos políticos
de resistencias.
Los seis artículos que conforman este dossier presentan discusiones que no sólo buscan
problematizar la dimensión espacial implicada en los procesos que analizan, sino que
además proponen, en algunos casos, temas poco trabajados en general desde el campo
disciplinar. Cada uno de ellos aporta elementos teóricos y empíricos sobre procesos
de resistencia, algunos de los cuales son protagonizados por movimientos sociales/
movimientos socioterritoriales (en el caso de Torres y Halvorsen) y, en otros casos,
por actores que no se definen como movimiento, pero que sin embargo presentan
grados diversos de organización y/o articulación entre sí y con el Estado (son los casos
de Fernández et al., Jurado, Cardozo y Palladino). En estos trabajos el espacio y otras
categorías espaciales se vuelven relevantes para comprender la diversidad y complejidad
de los procesos de resistencia en el contexto actual, así como para pensar estrategias
de lucha y de cambio social. De este modo, lxs autores contribuyen a profundizar la
discusión teórica relativa a la espacialidad de (su expresión espacial), así como también
la espacialidad en los procesos (en tanto elemento co-constitutivo y por lo tanto productor de estos). Para su abordaje recurren a diversas herramientas analíticas –espacio,
orden espacial, territorio, territorialización, lugar– que ponen en juego en el análisis
empírico a través de distintas formas de operacionalización.
El dossier comienza con el artículo de Fernández Romero, Muñecas, Zanotti y Piccinali,
Mapeando el (des)orden espacial: cartografía social en Cabure-í, Misiones. Allí lxs
doi: 10.34096/ps.n3.9695
2
DOSSIER
ISSN 2683-7404
Punto Su.r3 (julio-diciembre, 2020): [1-8]
Presentación al Dossier Geografía, política y resistencias: perspectivas, casos y estrategias de abordaje
Mariana Arzeno, Mónica Farías, Sam Halvorsen
autores exploran los modos en que la cartografía social puede contribuir a poner de
relieve la dimensión espacial en las situaciones donde existen tensiones en torno al
uso, ocupación o apropiación del espacio. El artículo analiza una práctica de mapeo
colectivo que llevaron a cabo con una cooperativa campesina del norte de la provincia
de Misiones en conflicto con los titulares registrales de las tierras que habitan. Recuperando discusiones recientes del campo de las cartografías críticas, esta práctica de
mapeo les permitió problematizar las ideas de orden/desorden espacial, así como el rol
de las cartografías oficiales en la producción/contestación del ordenamiento espacial.
El mapeo colectivo resultó en un mapa en donde la distribución de las tierras ocupadas
por las familias respeta los límites perimetrales del loteo del catastro, aunque los usos
y apropiaciones son diferentes a los prescriptos. Asumiendo al ordenamiento como
una práctica intrínseca a la producción del espacio, en donde la definición de “orden”
está siempre en disputa, este caso demuestra que las cartografías oficiales pueden ser
apropiadas, interpretadas y usadas creativamente de múltiples formas como parte de
órdenes espaciales alternativos.
De alguna manera, este artículo deja planteado el interrogante sobre qué sujetos se constituyen como actores políticos y cómo la politicidad de las acciones queda en evidencia
cuando recurrimos a un análisis espacial. Un tema que se repite en los tres siguientes
artículos. En este sentido, los dos primeros se adentran en discusiones sobre la economía social y solidaria (ESS), un campo de estudios académicos y de debate político
que desde hace dos décadas viene cobrando relevancia en Argentina. En su artículo
Territorio y lugar: la espacialidad en debate en la Economía Social y Solidaria, Jurado
recupera algunas de las principales discusiones teóricas sobre los conceptos “territorio” y “lugar”, y hace un ejercicio analítico para abordar con cada concepto el caso de
una organización campesina de la ESS en Mendoza. El autor reafirma la pertinencia
del concepto de territorio en el abordaje de las luchas contra los cercamientos y la
integración a la lógica del capital de espacios comunitarios por parte de productores
campesinos. Sin embargo, también encuentra limitaciones en la capacidad de dar cuenta
de otras dimensiones. Así, recurre al concepto de lugar para analizar el entramado de
acciones que desarrollan estas experiencias una vez que lograron territorializarse (es
decir, controlar un área geográfica que deviene espacio apropiado por la organización,
donde llevan adelante sus proyectos productivos). Según el autor, la concepción de lugar
que articula las dimensiones de localización o emplazamiento (y su relación con otros
lugares), locale (o escenas donde las actividades diarias se desarrollan) y sentido de
lugar, resulta muy productiva para explicar desde una perspectiva geográfica el origen
y despliegue de circuitos alternativos en contextos de resistencia campesina.
Por su parte, Cardozo, en su artículo Políticas de promoción de la Economía Social
y Solidaria en la comunidad mocoví Com-Caia de Recreo (Santa Fe, Argentina).
La construcción de circuitos cortos de comercialización en el período 2012-2017,
focaliza en la territorialización de las políticas para ESS en esa comunidad. El autor
recupera algunas discusiones que permiten conceptualizar la dimensión territorial
de la implementación de las políticas públicas. Para ello, retomando el planteo de
Haesbaert (2018), pone en diálogo la idea de territorio como categoría normativa que
enfatiza la mirada estatal sobre el mismo, con la idea del territorio como categoría de
la práctica política de los sectores subalternos que son objeto de esas políticas. Este
cruce le permite analizar el “encuentro” entre las formas de territorialización de ciertos procesos espaciales que atraviesa la comunidad y las intervenciones de distintos
doi: 10.34096/ps.n3.9695
3
DOSSIER
ISSN 2683-7404
Punto Su.r3 (julio-diciembre, 2020): [1-8]
Presentación al Dossier Geografía, política y resistencias: perspectivas, casos y estrategias de abordaje
Mariana Arzeno, Mónica Farías, Sam Halvorsen
actores con proyectos que involucran a esta población. Así, la territorialización de la
política se manifiesta en nuevas estrategias de organización socioespacial que emergen de la negociación entre los actores. Esto implica negociar las condiciones de
posibilidad para la puesta en funcionamiento de circuitos cortos de comercialización
campo-ciudad de productos hortícolas. Cardozo, además, se detiene y reflexiona en
algunos de los procesos por los que atraviesa una comunidad indígena que logra el
acceso a la tierra y que además avanza en el desarrollo de procesos productivos para
su reproducción. Se trata, en definitiva, de comunidades cuya adscripción territorial
es producto de un complejo proceso de desplazamientos y de luchas, algo que es
retomado en el siguiente artículo.
El trabajo de Palladino, Territorio(s) e indigeneidad(es): aportes a partir del trabajo de campo con comunidades comechingonas cordobesas, focaliza su análisis en
la forma en que los procesos de re-emergencia comunal de los comechingones en la
provincia de Córdoba construye la adscripción territorial apelando a distintas formas
de identificación con el territorio. Para ello el autor toma dos casos de estudio en donde
discute el papel del territorio en los procesos de comunalización desde la perspectiva
relacional e integradora propuesta por el geógrafo Rogerio Haesbaert, lo que le permite
abordar los procesos de territorialización indígena desde la movilidad e identificación
territorial con distintos sitios. Así, el autor se distancia de los enfoques que identifican
las reivindicaciones indígenas con territorialidades sustentadas en la continuidad espacial, es decir,en la fijación y la rigidez en lo que respecta al vínculo identidad-territorio.
Esto da lugar a la posibilidad de problematizar dichas territorialidades como móviles y
fluidas, y asociadas a los procesos de desagregación y fractura a las que fueron sometidas durante la colonia. El autor muestra cómo los procesos de des-territorialización
y re-territorialización se vuelven elementos clave en la reconstrucción de narrativas y
memoria territorial en la que se basan esos procesos de reemergencias y comunalización.
Finalmente, cierran el dossier dos artículos que ponen el foco en los movimientos
socioterritoriales, aportando distintas discusiones que permiten, por un lado, operacionalizar el concepto de manera tal de abordar la dimensión espacial intrínseca
a ellos y, por otro, complejizar el análisis relativo a sus vínculos con el Estado en la
producción del territorio de los movimientos. En el artículo Movimientos sociales e
institucionalización: la especificidad de los movimientos socioterritoriales, Torres
presenta un método analítico para entender las relaciones entre movimientos sociales
e instituciones, recurriendo a la categoría de movimiento socioterritorial y recuperando las discusiones teóricas planteadas por Fernandes en torno a sus particularidades
(2005). La autora se centra en la dimensión de la institucionalización de las formas
organizacionales, en y a través del territorio, característica de los movimientos (Halvorsen, Fernandes y Torres, 2019); es decir, la producción de instituciones que garanticen las relaciones de poder que sustentan esa apropiación del espacio convertido en
el territorio del movimiento. Para ello utiliza el caso de la Organización Barrial Túpac
Amaru de Jujuy, que por medio de la ocupación de tierras logró construir un barrio
y producir instituciones laborales, educativas, de salud y culturales, entre otras. El
control del territorio habilita relaciones sociales, reglas y prácticas que regulan la
vida cotidiana desde lógicas distintas a la mercantil. De este modo, para la autora,
los movimientos socioterritoriales dejan en evidencia la importancia de la dimensión
espacial, específicamente la producción y control de territorios para la creación de
instituciones y nuevas ciudadanías territorializadas.
doi: 10.34096/ps.n3.9695
4
DOSSIER
Presentación al Dossier Geografía, política y resistencias: perspectivas, casos y estrategias de abordaje
Mariana Arzeno, Mónica Farías, Sam Halvorsen
Halvorsen también recurre al concepto de movimiento socioterritorial en su artículo
El Territorio en disputa: estrategias políticas y movimientos socioterritoriales, para
discutir el concepto “territorio”. El autor pone en diálogo las discusiones anglosajonas
sobre el territorio –como el ámbito de ejercicio del poder estatal– y las latinoamericanas
–en donde abundan las referencias al territorio como ámbito de poder emancipatorio
para los movimientos–. Apoyándose en tres tipos de movimiento de América Latina
cuyo objetivo es el de la apropiación de un espacio determinado, Halvorsen sugiere que
lejos de ser algo estable, el territorio es un proceso de apropiación siempre aconteciendo. Propone entonces una definición abierta de territorio que resulta de la apropiación
del espacio a través de estrategias políticas intrincadas y superpuestas. Esto supone
considerar al menos tres dimensiones: las configuraciones territoriales hegemónicas,
pasadas y presentes, en donde tiene un rol predominante el Estado; la coexistencia de
diversas apropiaciones que generan múltiples territorios; y el cruce de diversas prácticas e ideas que materializan relaciones de poder en el espacio. El autor recupera estas
dimensiones en el análisis de los casos para detenerse en las distintas negociaciones
y puntos de tensión entre éstos y las estrategias de control del Estado. Esto le permite
alejarse de las miradas romantizadas sobre los movimientos que enfatizan mayormente
su poder emancipatorio, al tiempo que deja en evidencia la potencialidad de los cruces
epistemológicos provenientes de distintas tradiciones académicas.
En su conjunto el dossier sugiere algunas posibles líneas de trabajo para continuar con
el debate sobre la espacialidad de los procesos políticos y el potencial de la geografía
para dar cuenta de ellos. Creemos necesario continuar y extender las discusiones acerca
de la/s espacialidad/es de las resistencias presentes en la región. Dado el fuerte interés
que el concepto de territorio ha suscitado en las ciencias sociales en América Latina
en los últimos años –al punto de plantearse un “giro territorial” más que espacial en la
región (Haesbaert, 2009; Souza, 2009)–, consideramos particularmente importante
ahondar en otras espacialidades de la política y en los modos en los que las mismas se
relacionan. Pensar los procesos políticos a partir de los conceptos de lugar, escala, red,
paisaje (ej. Jessop et al., 2008) no sólo permite enriquecer su discusión teórica, sino que
además habilita nuevos campos de acción para la práctica política. Además, creemos
necesario dar lugar a más y mayores diálogos interdisciplinarios en lo que respecta a
la producción de saberes sobre la espacialidad de y en los procesos políticos. Para ello
será necesario tener presente la construcción de los bordes disciplinares y las “regiones
ontológicas” (Lander, 2000) de las disciplinas implicadas en el “giro espacial”, de modo
de alentar su constante revisión y enriquecer así el intercambio. Por último, resultaría
interesante considerar la importancia de los lugares y los ámbitos donde estos saberes
emergen, se manifiestan y circulan. Tener en cuenta la situacionalidad de los saberes
anclados en contextos geohistóricos específicos –Argentina, América Latina– necesariamente requeriría repensar los modos en los que se traducen y comunican esos saberes.
La foto de la portada fue tomada en el año 2016 en la localidad de Tilcara,
situada en la Quebrada de Humahuaca, provincia de Jujuy. Se trata de un
graffiti que expresa una serie de resistencias que se vienen dando en ese
lugar y en la Quebrada en general: resistencias a la minería a cielo abierto,
de uranio y otros minerales, resistencias a la valorización inmobiliaria que
se deriva del turismo. Como dijo Rodolfo Walsh, las paredes son la imprenta
de los pueblos, de aquellxs que, sin tener el poder para llegar a los grandes
medios de comunicación, buscan modos de comunicarse, de hacer oír su voz
ISSN 2683-7404
Punto Su.r3 (julio-diciembre, 2020): [1-8]
doi: 10.34096/ps.n3.9695
5
DOSSIER
Presentación al Dossier Geografía, política y resistencias: perspectivas, casos y estrategias de abordaje
Mariana Arzeno, Mónica Farías, Sam Halvorsen
y visibilizar sus reclamos. Podemos pensar a este graffiti como una práctica
espacial de resistencia (Souza, 2013), un modo de visibilizar y rectificar una
situación de injusticia socioespacial. Nos pareció entonces apropiado, sumar
esta imagen a las geografías de las resistencias presentes en este dossier.
ISSN 2683-7404
Punto Su.r3 (julio-diciembre, 2020): [1-8]
doi: 10.34096/ps.n3.9695
6
DOSSIER
Presentación al Dossier Geografía, política y resistencias: perspectivas, casos y estrategias de abordaje
Mariana Arzeno, Mónica Farías, Sam Halvorsen
# Bibliografía
» Domínguez, D. (2009). La lucha por la tierra en Argentina en los albores del
Siglo XXI. La recreación del campesinado y de los pueblos originarios. Tesis de
doctorado, Facultad de Ciencias Sociales, Universidad de Buenos Aires.
» Domínguez, D. (2016). Territorialidades campesinas entre lo heterónomo y lo
disidente: formas de gestión de la producción y tenencia de la tierra en el campo
argentino. Política & Trabalho. Revista de Ciências Sociais, 45, 67-84.
» Fernandes, B. M. (2005). Movimentos Socioterritoriais e Movimentos
Socioespaciais: Contribuição Teorica Para Uma Leitura Geografica Dos
Movimentos Sociais. Revista Nera, 8(6), 14–34.
» Grimson, A., Ferraudi, C. y Segura, R. (Eds) (2009). La vida política en los barrios
populares de Buenos Aires. Buenos Aires: Ed. Prometeo.
» Haesbaert, R. (2009). Dilema de conceitos: espaço-território e contenção
territorial. En M. A., Saquet y E. Sposito (Org.), Territórios e territorialidades:
teorias, processos e conflitos (pp. 95-120). São Paulo: Expressão Popular.
» Haesbaert, R. (2014). Por uma constelação de conceitos. En R. Haesbaert, Viver
no limite. Território e multi/transterritorialidade em tempos de in-segurança e
contenção (pp. 19-51). Rio de Janeiro: Bertrand Brasil.
» Haesbaert, R. (2018). De categoria de análise a categoria da prática: A
multiplicidade do território numa perspectiva latino-americana. En F., Fridman,
L., Alem Gennari y S. Lencioni (Org.). Políticas públicas e territórios: onze estudos
latinoamericanos (pp. 267-288). Ciudad Autónoma de Buenos Aires: CLACSO.
» Halvorsen, S. (2018). Cartographies of epistemic expropriation: critical reflections
on learning from the South. Geoforum, 95, 11-20.
» Halvorsen, S. Fernandes, B. M. y Torres, F. (2019). Mobilising Territory:
Socioterritorial movements in comparative perspective. Annals of the Association
of American Geographers, 109(5), 1454-1470.
» Jessop, B., Brenner, N., y Jones, M. (2008). Theorizing sociospatial relations.
Environment and Planning D: Society and Space, 26, 389-401. https://doi.
org/10.1068/d9107
» Lander, E. (2000). La colonialidad del saber: eurocentrismo y ciencias sociales:
perspectivas latinoamericanas. Caracas, Venezuela: Facultad de Ciencias
Económicas y Sociales (FACES-UCV): Instituto Internacional de la UNESCO para la
Educación Superior en América Latina y el Caribe (IESALC).
» Manzano, V (2013). La política en movimiento: Movilizaciones colectivas y políticas
estatales en la vida del Gran Buenos Aires. Rosario: Prohistoria ediciones.
» Merklen, D. (2005). Pobres ciudadanos: Las clases populares en la era democrática
(Argentina 1983–2003). Buenos Aires: Editorial Gorla.
» Pintos, P. (2004). La espacialidad de la resistencia social: entre la visibilidad en
las calles y la acción en el territorio. Notas sobre la espacialidad piquetera en la
Argentina reciente. Reflexiones geográficas, 11, 45-67.
ISSN 2683-7404
Punto Su.r3 (julio-diciembre, 2020): [1-8]
doi: 10.34096/ps.n3.9695
7
DOSSIER
ISSN 2683-7404
Punto Su.r3 (julio-diciembre, 2020): [1-8]
Presentación al Dossier Geografía, política y resistencias: perspectivas, casos y estrategias de abordaje
Mariana Arzeno, Mónica Farías, Sam Halvorsen
» Rodríguez, M. C. (2018). Género, espacialidad y urbanismo autogestionario.
Algunas claves para su comprensión y debate. Revista Vivienda y Ciudad, 5, 67-79.
» Rodríguez, M. C. y Di Virgilio, M. (2016). A city for all? Public policy and resistance
to gentrification in the southern neighborhoods of Buenos Aires. Urban Geography,
37, 1215-1234.
» Rossi, F. (2017). The Poor’s Struggle for Political Incorporation: The Piquetero
Movement in Argentina. Cambridge: Cambridge University Press.
» Souza, M. L. de (2013). Os conceitos fundamentais da pesquisa sócio-espacial.
Rio de Janeiro: Bertrand Brasil.
» Souza, M. L. de (2009). Território da divergência (e da confusão): Em torno
das imprecisas fronteiras de um conceito fundamental. En M. A. Saquet y E. S.
Sposito (Org.) Territórios e Territorialidades: Teorias, processos e conflitos (pp.
57–72). São Paulo: Expressão Popular.
» Svampa, M., y Pereyra, S. (2009). Entre la ruta y el barrio: La experiencia de las
organizaciones piqueteras. Buenos Aires: Editorial Biblos.
» Sznol, F. (2007). Geografía de la Resistencia. Protesta social, formas de
apropiación y transformación del espacio urbano en la Argentina (1996-2006).
Revista Theomai, 15, 21-34.
» Tobío, O. (2011). Entre la acción territorial directa y las “piedras de papel”:
Movimientos sociales y modelo de desarrollo en la Argentina. Revista Geográfica
de América Central, 2(47E), 1-11.
» Tobío, O. (2014) El doble carácter de la territorialidad de la experiencia piquetera
en el norte de la Argentina: una conceptualización. XIII Coloquio Internacional de
Geocrítica El control del espacio y los espacios de control, Barcelona.
» Wahrren, J. (2012). Movimientos Sociales, y territorios en disputa. Experiencias de
trabajo y autonomía de la Unión de Trabajadores Desocupados de Gral. Mosconi,
Salta. Trabajo y Sociedad, 19, 133-147.
doi: 10.34096/ps.n3.9695
8
|
|
https://openalex.org/W3022202828
|
https://periodicos.uem.br/ojs/index.php/ActaSciEduc/article/download/44870/751375149883
|
Portuguese
| null |
Teachers’ learning at schools: developing pedagogical capacity for curriculum design trhough {co-teaching | cogenerative dialogue}
|
Acta Scientiarum. Education
| 2,020
|
cc-by
| 10,472
|
Aprendizagens docentes na escola: desenvolvendo a capacidade pedagógica para
desenvolvimento curricular por meio do (co-ensino| diálogo cogerativo) RESUMO. Este artigo objetiva discutir o desenvolvimento de uma experiência em que professores e
alunos se engajam no design do currículo escolar em uma escola pública. Está baseado no referencial
teórico da perspectiva sócio-historico-cultural. Os dados foram coletados em um projeto durante dois
anos por meio da gravação das interações dos participantes e escrita de diários e analisados por meio da
análise crítica do discurso (transitividade) e análise da conversação. Os resultados desse estudo
demonstram que no processo de ter a oportunidade de interagir em encontros de co-planejamento na
construção do currículo novos atitudes surgiram. Além disso, demonstra que participar em espaços mais
democráticos e serem capazes de contribuir para desenvolver o currículo durante sua prática de ensino
tem efeitos no modo como participantes percebem os alunos do ensino médio. Conclui-se eu o
desenvolvimento da capacidade pedagógica dos alunos para o currículo influencia o grau no qual
professores se engajam na transformação da escola para criar oportunidades para seus alunos. Palavras-chave: capacidade pedagógica; aprendizagem; escolas; formação de professores Michele Salles El Kadri Michele Salles El Kadri Universidade Estadual de Londrina, Rodovia Celso Garcia Cid, Pr-445 Km 380, Cx. Postal 10.011, 86057-970, Londrina, Paraná, Brasil. E-mail:
mielkadri@hotmail.com ABSTRACT. This article aims at discussing development in an experience of engaging teachers and students
in the design of the curriculum at a public school. It is grounded on a socio-historical perspective of learning
and in (coteaching | cogenerative dialogue) as a theorethical-methodological approach. Data was gathered in a
two-year project through interactions meetings at schools and analyzed through critical discourse analysis
(transitivity) and conversational analysis. The results of the study point out that having had the opportunity to
interact in co-plannings and redesigning the curriculum, new attitudes emerged. Furthermore, participating in
more democratic spaces and being able to redesign their own curricula during teaching practicum had effects
on how the participants perceive the participation of high school students. It is concluded that developing
teachers' pedagogical capacity for curriculum design may influence the degree to which teachers engage in a
principled, reform-oriented analysis when creating learning opportunities for students. Keywords: pedagogical capacity; learning; schools; teacher education. Acta Scientiarum
http://periodicos.uem.br/ojs/acta
ISSN on-line: 2178-5201
Doi: 10.4025/actascieduc.v42i1.44870 Acta Scientiarum
http://periodicos.uem.br/ojs/acta
ISSN on-line: 2178-5201
Doi: 10.4025/actascieduc.v42i1.44870 http://periodicos.uem.br/ojs/acta
ISSN on-line: 2178-5201 Doi: 10.4025/actascieduc.v42i1.44870 TEACHERS' FORMATION AND PUBLIC POLICY Introduction Acting as ‘curriculum makers’ is particularly important for novice teachers because it (a) influences the
degree to which they engage in a principled, reform-oriented analysis when creating learning opportunities
for students (Beyer & Davis, 2012); (b) emphasizes the agency of teachers in curricular processes and
positions teachers as agents of change (Craig & Ross, 2008) and (c) allows a deeper understanding of the
ways in which teachers exercise control and agency in their curricular work (Harris-Hart, 2009). More
importantly, wherein teachers act as curriculum makers, there are close connections with leadership and
this implies a strong relationship between the structures, norms, and patterns of interactions in the working
conditions of schools (Grimett & Chinnery, 2009). While in the literature of teacher education the discourse of involving teachers in the production of the
curriculum is widely recognized through the ‘image of teachers as curriculum makers’ (Clandinin & Conelly,
1992; Fullan, 2003; Craig & Ross, 2008), in practice, it goes far beyond this recognition. Teachers generally
have very few opportunities to engage in the redesign of the curriculum. In the teaching practicum, it rarely
occurs as most teacher education programs fail to provide enough resources (like context, time and
conditions for schoolteacher participation) for such experiences and continue to emphasize technical
rationalist conceptions of the curriculum. Some studies have acknowledged the importance of developing
teachers' pedagogical capacity for curriculum design by affirming that this is an essential aspect in teaching
practice and it is common for novice teachers to encounter many difficulties when attempting to develop
this capacity (Davis, 2006; Nicol & Crespo, 2006; Grossman & Thompson, 2008; Beyer & Davis, 2012). Despite this, few studies have focused on the attempt to develop this pedagogical capacity when novice
teachers are in the field, more specifically, when they are involved in their teaching practicum. Developing teachers' pedagogical capacity for curriculum design may influence the degree to which
teachers engage in a principled, reform-oriented analysis when creating learning opportunities for students
(Beyer & Davis, 2012). In an experience of engaging teachers in the design of the curriculum in a teaching
methods course, Beyer and Davis (2012), for example, highlight that that most of the novice teachers also
experienced an increase in confidence by the end of the course, with regard to the designing of lessons and
saw themselves as curriculum designers during their first year of teaching. El Kadri Received on October 5, 2018. Accepted on May 10, 2019 Received on October 5, 2018. Accepted on May 10, 2019 Introduction They concluded that it is
paramount that novice teachers are afforded opportunities to develop their pedagogical design capacity. Beyer and Davis (2009) also note that developing teachers' pedagogical design capacity includes developing
their ability to act upon these personal resources while interacting with particular material resources when
creating powerful learning opportunities for students (Ball & Cohen, 1999; Remillard, 2005). For them, in
fostering their pedagogical design capacity, teachers must learn how to negotiate the affordances and
constraints of particular curricular features while taking into consideration their own understandings,
instructional goals, and classroom needs. It is, therefore, an important area in which novice teachers need
support (Beyer & Davis, 2012). Acknowledging the importance of developing teachers' pedagogical capacity for curriculum design, this
article reports an experience of the development of pedagogical capacity through a co-planning. I
demonstrate that taking part in collaborative environments, such as co-planning, is one of the ways of
acting that allows stakeholders to engage in curriculum production. Participating in more democratic
spaces and being able to redesign their own curricula during teaching practicum has effects on how novice
teachers perceive the participation of high school students. Thus, I argue that having had the opportunity to
interact in co-plannings and redesigning the curriculum, new attitudes emerges at school. Aprendizaje de profesores en la escuela: desarrollando la capacidad pedagógica
para el diseño del currículo escolar por el (co-ensino| diálogo cogerativo) RESUMEN. Este artículo objetiva discutir el desarrollo de una experiencia en que profesores y alumnos se
comprometen en el diseño del currículo escolar en una escuela pública. Está basado en el referencial teórico de
la perspectiva sociocultural-cultural. Los datos fueron colectados en un proyecto durante dos años por medio
de la grabación de las interacciones de los participantes y escritura de diarios y analizados por medio del
análisis crítico del discurso (transitividad) y análisis de la conversación. Los resultados de este estudio
demuestran que en el proceso de tener la oportunidad de interactuar en encuentros de co-planificación en la
construcción del currículo nuevas actitudes fueron creadas. Además, demuestra que participar en espacios más
democráticos y ser capaces de contribuir a desarrollar el currículo durante su práctica de enseñanza tiene
efectos en el modo como participantes perciben a los alunos. Se concluye que el desarrollo de la capacidad
pedagógica de los alumnos para el currículo influye en el grado en que los profesores se comprometen en la
transformación de la escuela para crear oportunidades para sus alumnos. Palabras-clave: capacidad pedagógica; aprendizaje; escuelas; formación de profesores. Acta Sci. Educ., v. 42, e44870, 2020 Page 2 of 13 The context This article is part of a doctoral dissertation which aimed at understanding the transformation of teacher
identities during their teaching practicum organized within PIBID through (coteaching | cogenerative
dialogue) as a methodological approach (El Kadri, 2014). Teacher identities were investigated through new
teachers’ ways of acting, interacting, representing and being and data sources include audio-records of
(coteaching | cogenerative dialogue) meetings, lectures by novice teachers given in academic seminars,
papers, journals and reports. The analysis carried out was a longitudinal one focusing on two particular new Acta Sci. Educ., v. 42, e44870, 2020 Desenvolvendo capacidade pedagógica para design curricular Page 3 of 13 Page 3 of 13 teachers during two years. Thus, this study is also part of the Brazilian Institutional Bursary Program for the
Initiation to Teaching (henceforth PIBID1). PIBID is a program designed by CAPES to enhance teacher
education and teaching in public schools by offering bursary to teachers. teachers during two years. Thus, this study is also part of the Brazilian Institutional Bursary Program for the
Initiation to Teaching (henceforth PIBID1). PIBID is a program designed by CAPES to enhance teacher
education and teaching in public schools by offering bursary to teachers. Our group was comprised of 1 teacher educator and researcher (me), one schoolteacher (Alice) and 12
novice teachers. In the beginning, all of the novice teachers were the third and fourth year of the
undergraduate course, which means they were all required to engage in the teaching practicum. In this
article, I exemplify the findings by drawing on the data involving this group. The research praxis lasted from August 2009 to December 2011. We met regularly during this time in co-
planning, (coteaching | cogenerative dialogue) classes, cogenerative dialogues, schools meetings and
supervisions. Data, in this article is analyzed through (coteaching | cogenerative dialogue) heuristic (Roth, 2002). During the two-years of working in the project, I recorded all forms of engagement in teaching-learning
tasks on the part of the PIBID (18 new teachers during the two-year program). All the encounters were
recorded and fully transcribed. The new teachers’ written assignments were assembled into portfolios that
entered the database. The data sources also include talks in seminars, reports, transcribed cogenerative
dialoguing session, and recordings of individual supervision sessions. The database now consists of more
than 8,000 pages of transcripts produced over the two years. 1 The program aims at promoting innovative teaching practices in public schools and the integration of theory and practice by inserting novice teachers in public schools and by
positioning the schoolteachers as co-supervisors it provides practitioners with incentives to take a central role in teacher education.
2 The ‘representation of social actors’, according to Fairclough (2003) involves a number of choices. For example, it is important to know if (a) social actors are included or excluded,
(b) they are realized as a pronoun or as a noun, (c) they are realized as a Participant in the clause (e.g. actor, affected), or if (d) they are the Actors in processes or the affects or
beneficiaries of the processes, for example. And it is precisely all these distinctions available in the theory that matter.
3 The ‘Transitivity systems’ are significant categories for analyzing representation and identity, that is, for analyzing how social actors position themselves and others in discourse
because it generally refers to how meaning is represented in the clause. ‘Transitivity’ is part of the ideational function of language and is a fundamental and powerful semantic
concept thus making it an essential tool in the analysis of representation (Matu, 2008). The context Our reflection on this data and other analysis
can be seen in several other papers (El Kadri et al., 2018; El Kadri, 2018). In this paper, however, my analysis
is based on some interactions and some extracts from novice teachers’ journals and conference
presentations. The transcripts of cogenerative dialogues are analyzed through categories extracted from the Critical
Discourse Analysis (Fairclough, 2003; Van Leeuwen, 2008), the heuristic of (coteaching | cogenerative
dialogue) and interaction conversational studies (Cheyne & Tarulli, 1999). The extracts of journals are
analyzed through the Representation of social actors theory2 (Fairclough, 2003; Van Leeuween, 2008) and
the transitivity systems3 (Halliday & Matthiessen, 2004). The project proposed by our Language teaching education program entitled, ‘Collaborative Teacher
Education and curriculum innovation in English teaching’, aimed at addressing two main issues: the need to
increase the quality of teacher education courses and to innovate the English teaching curriculum. This
proposal was based on contemporary trends that the relationship between schools and universities is the
core of teacher education models in which theory and practice are reconstructed in a dialectical way through
collaboration. Based on these tenets, the PIBID-English project proposed to develop actions to place the
novice teachers in the school context and to construct (collectively) innovative pedagogical practices to
then be implemented collaboratively. In this article, I report the experience of redesigning the curriculum
and developing teachers’ pedagogical capacity. Co-planning meeting, October 10th, 2011
Fragment 10
01 An: oh...what is the objective of the plan? Reading the ads critically?
02 Le: sometimes it it not just that... I want them to read the ad, and understand why it is like that, what the ad
wants to reach… Page 4 of 13 generating an understanding of praxis (Roth, Lawless, & Tobin, 2000), which, in my view, cannot be
misunderstood power-relations-free. Thus, the main theoretical underpinnings of such encounters is the
belief that each participant brings unique understanding and experiences to the field of activity while
experiencing and interacting with the field in different ways (Wassell & Lavan, 2009). Furthermore, the
meetings conjure an emancipatory feature that works against the control of interests and ruling relations
that characterize most current educational systems (Roth, 2002). Roth et al. (2000) explain that coteaching and the associated Cogenerative dialogue evolved because they
found that such processes led to understandings that allowed them to generate new possibilities for action
and thereby engage in expansive learning and in the transformation of praxis. They argue that they have
realized that conceiving (coteaching | cogenerative dialogue) as a dialectical unit offers far more benefits
than conceiving them separately. A considerable amount of literature has been published on the results and benefits of (coteaching |
cogenerative dialogue). These studies are not solely interpreted as a methodology for the improvement of
teacher education by providing new opportunities for learning to teach and for the enhancement of student
learning, but also as means to overcome the theory/practice gap. The main benefits of implementing
(coteaching | cogenerative dialogue), according to the studies, are its impacts on the teaching and learning
experiences of all participants, as it increases opportunities for actions that would otherwise not occur. For
instance, several researchers have noted that a very important type of learning occurs from pairing up both
activities: the creation of resources that provide teachers (not only novice teachers but all the participants
involved) with opportunities for the development of agency (Elden & Levin, 1991; Roth et al., 2000; Stith &
Roth, 2006, 2010). Eick, Ware, and Williams (2003) also argue that coteaching provides shared experiences
for student teaching supervisors, methods instructors, schoolteachers and novice teachers in order to
engage in theoretical discussions and improve their practice in the classroom. Others have highlighted that
the process makes merging the usually separate activities of professional development, supervision,
evaluation and research viable (Roth &Tobin, 2001a). In doing so, the process sets a pretense for ongoing
evaluation in which the focus is placed on teaching with the intent of enhancing the learning of the
students (Roth & Tobin, 2001) (Coteaching | cogenerative dialogue) and co-planning as models for teacher
education Cogenerative dialogue is characterized by encounters in which students and teachers participate in
conversations regarding praxis that focuses on teaching and learning with the purpose to further develop
existing understandings of the learning/teaching situation in order to build local theory and thereby
increase the action potential of all participants (Roth, 2002). Cogenerative dialogue has seen increased
usage among many researchers with the majority emphasizing the premise that students and teachers
should be participating in conversations about praxis with a focus on teaching and learning. Although it
may be argued that this is equivalent to reflective sessions, the difference is within the premise that in order to
participate in cogenerative dialogue, participants are required to have shared experience in teaching
(coteaching). One of the most significant features of cogenerative dialogue meetings is the ability for such meetings to
provide space for all participants to utilize a more equitable approach towards making sense of and Acta Sci. Educ., v. 42, e44870, 2020 Page 4 of 13 El Kadri Page 5 of 13 03 An: yah, but is it what I wanted to say, look... strategies of knowledge…. Ok...but let’s do it right: objective: so
that the students read the ads critically and understand their structure and the persuading (I don’t know how to
say in English) strategies. 03 An: yah, but is it what I wanted to say, look... strategies of knowledge…. Ok...but let’s do it right: objective: so
that the students read the ads critically and understand their structure and the persuading (I don’t know how to
say in English) strategies. 04 Le: Ah, this is the principal, right... 05 Ma: learn the verbs in the imperative... 05 Ma: learn the verbs in the imperative... 06 Le: apprehension of vocabulary too.... 07 An: Done, it’s great… Content… 08 Ma: oh, I don’t understand 09 Le: ads and hedlines of magazines... (explaining to Mari) 10 An: Aren’t they the same? The headline is in the ad, right.... so they understand how it works…. So, we can use
of all of them, right? 10 An: Aren’t they the same? The headline is in the ad, right.... so they understand how it works…. So, we can use
of all of them, right? 11 Ma: no, we have to choose which one Will.... 12 Le: I liked this one here... Well, we have to think that there are boys and girls, right… if a boy ge ed this one here... Well, we have to think that there are boys and girls, right… if a boy get this one to do
e, he will not get motivated… liked this one here... Well, we have to think that there are boys and girls, right… if a boy get this one to d for example, he will not get motivated… 13 An: Ah ok.... 14 Mi: yeah… This one is nice. In this excerpt, Aline initiates asking about the objective of the class they are planning (turn 01). However,
she not only poses a question about it but also suggests what it should be. Leandro is the one who answers her
(turn 02) and Aline elaborates on her ideas as a way to help him understand what she meant. As Aline expands
(turn 03), Leandro agrees with her (turn 04). Then, Mari and Leandro add another topic to be included in the
objective of the class (turn 05 and 06). Page 5 of 13 Aline then evaluates their utterance by stating, ‘done, its great’. Mari
elicits explanation and Leandro provides her with this (turns 08 and 09). Aline questions them (turns 10), Mari
disagrees, explaining it to her (turn 11) and Leandro offers a personal opinion (turn 12). What this episode demonstrates is that a very common way of acting in co-planning is by (a) alternating
leadership and (b) alternating the position of the competent peer. Here, Aline leads the meeting in which
the objective was planning classes. In these meetings, power appeared more balanced even as participants
move themselves in the position of leading and listening. We can see Aline dominating the scene, making
her intentions for the lesson while at the same time inviting her co-teachers to contribute to the lesson. Aline places herself in the position of someone who poses questions with the expectation of receiving
answers, indicating her position as being one with power (Young & Fitzgerald, 2007). She also exerts her
power even further by evaluating her coteachers (turn 07). She coordinates the discussion, elaborates on
ideas, initiates dialogue and demonstrates willingness to participate. There is also an uneven distribution of
questions and answers, if compared to Mari’s participation, but new ways of acting for Aline are evident
when compared to the excerpts analyzed in the first section. This is important for understanding Aline’s ways of acting and interacting because the symmetrical
discussion is not only visible at the level of content. What is being taught-learned are the positions and
dispositions of how participants place themselves in the discussion as well (they contribute, argue, disagree,
agree, exemplify, etc.). These ways of acting have a neat fit with the subjectivities created and their ways of
representing and being. This episode reveals an important way of acting because as teachers redesigned a
new curriculum, they also redesigned their identities as accountable actors. That is, by acting, leading,
coordinating, agreeing, disagreeing, controlling and also exerting power, Aline, specifically, creates her
subjectivity as an accountable actor in this context. As the novice teachers are able to assume the position
of authorship of the curriculum as a result of an activity system that empowers collective action, new
possibilities become available for legitimate participation at the school. Redesigning the curriculum through (coteaching | cogenerative dialogue) Co-planning meetings is a model of (coteaching |cogenerative dialogue). They occurred once a week
on Monday morning with the purpose of planning the classes for the week; adjustments in the planning
of classes were made via e-mail interactions or informal meetings among coteachers. In such meetings,
coteachers (a) discussed the purpose of the lesson in accordance with national guidelines and students’
feedback, (b) reflected upon lessons and the objectives and goals for teaching English and (c) decided
on resources, strategies, time and issues regarding the development of the lesson. In these meetings,
the cohort planned the English teaching curriculum as a whole along with all individual lessons. Our
implementation of co-planning therefore coincides with the model employed by Scatlebury and
collaborators in the sense that they provided the setting for another type of co-generative dialogue
(Scantlebury, Gallo-Fox, & Wassel, 2008). Distinctively, our implementation included the teacher
educator in the co-planning meetings as I thought it would be an important site for sharing
contribution. Based on the needs identified while coteaching, the group felt the need to produce situated materials in
order to deal with the (local) needs of ‘these’ students. The schoolteacher was a substantive proponent for
this idea, emphasizing that the person “[w]ho produces is the one who knows more what it is about”
(Schoolteacher, oral presentation) . The excerpt below is one example of how cohort members enacted
‘shared responsibility’ for the production of the curriculum during cogenerative dialogue meetings in which
they planned lessons and produced materials to be used in the class. The excerpt below is also an example of
what Aline defined as ‘coming together’ when preparing classes. Acta Sci. Educ., v. 42, e44870, 2020 Desenvolvendo capacidade pedagógica para design curricular Page 5 of 13 Page 5 of 13 Page 6 of 13 05 An: Me too… say it again, Evelyn! 06 Ev: uhum….How do I write a message to share with my friends? g
y
(during the questions, there's a parallel explanation of how to it for Michele and Alice because they do not know how)
07 Ev: where do you click to find a friend? Where do you click to make comments on photos? We could ask that…. 08 Mi: It is the scrap? p
09 Ev: no… where do you click to see the recent updates? And there is also this option, I did not put it here,but
there is private, public, friends… 09 Ev: no… where do you click to see the recent updates? And there is also this option, I did not put it here,but
there is private, public, friends… 10 Mi: And can you select what each person can see…? 11 An: can we? And what is the scrap? 12 Ev: they are the messages. Here, Evelyn assumes the role of the competent peer and teaches Alice, myself (turns 02, 04, 08 and 10)
and Aline (turns 05 and 11) how to use Facebook because at that time, we were not yet members. In this
episode, Evelyn is in the know and guides the development of the construction of the lesson as she
dominates the topic of social networks (turns 01, 02, 06, 07, 09 and 12). Although her institutional position
is of a novice teacher, here, she assumes her role in the collective responsibility and contributes to the
design of the curriculum in ways that neither the schoolteacher nor the teacher educator were able to in this
situation. Here, Evelyn exerted leadership: she controls the turns and Aline assumes a more passive role in
this interaction, accepting the shared power. What is possible to argue here is that because of the
repositioning of roles – everybody teaching – there is a higher probability of symmetry in the relations,
which means power is thus, shared. Therefore, if knowledge is power (Fairclough, 2003), in these situations
in which knowledge is distributed as a result of the confluence of institutional positions, there is a higher
probability of shared power. Page 5 of 13 These spaces were a unique locus
for decision making and conceiving a sense of authorship and freedom in the process and in the
constructing the self, transforming the participants into accountable actors of teaching responsible not only
for their own learning but also each other's. This is so because “[…] getting your ideas through and,
especially, seeing them having practical implications, give the learner a true sense of authority and agency”
(Niestz, 2010, p. 816). In the episode above, she also acts as a curriculum maker. Along with this, by being involved in the
redesign of the curriculum, teachers had the opportunity for development beyond their institutionalized
positions, which means novice teachers, schoolteachers and teacher educators alternated the position of the
competent peer, and therefore, all the participants enacted the role of teachers and learners (Roth &
Radford, 2010) in praxis. The episode below – extracted from a co-planning meeting in which we were using Acta Sci. Educ., v. 42, e44870, 2020 El Kadri Page 6 of 13 social networks to teach English – exemplifies that through the process of promoting collective curriculum
leadership, Alice, Aline and I also learned from novice teachers. Here, Aline displays a way of acting that
differs from the previous episode in which she coordinates the discussion. Here, she alternates the position
of the competent peer: she listens while Evelyn leads the discussion on how to use Facebook. social networks to teach English – exemplifies that through the process of promoting collective curriculum
leadership, Alice, Aline and I also learned from novice teachers. Here, Aline displays a way of acting that
differs from the previous episode in which she coordinates the discussion. Here, she alternates the position
of the competent peer: she listens while Evelyn leads the discussion on how to use Facebook. Co-planning meeting, September 22nd, 2010
Fragment 10
01 Ev: then this is an specific thing so they talk about it, right…. How do I write a testimonial to a friend? Then he
know… How do I download videos in my profile?? Because you can put video too…
02 Mi: but how do I do it? 03 Ev: so, it is written here, it is just look at it..(laughs)
04 Mi: (laughing) calm down, people.. I am learning too. 05 An: Me too… say it again, Evelyn! 06 Ev: uhum….How do I write a message to share with my friends? (during the questions, there's a parallel explanation of how to it for Michele and Alice because they do not know how)
07 Ev: where do you click to find a friend? Where do you click to make comments on photos? We could ask that…. 08 Mi: It is the scrap? 09 Ev: no… where do you click to see the recent updates? And there is also this option, I did not put it here,but
there is private, public, friends…
10 Mi: And can you select what each person can see…? 11 An: can we? And what is the scrap? 12 Ev: they are the messages. 01 Ev: then this is an specific thing so they talk about it, right…. How do I write a testimonial to a friend? know… How do I download videos in my profile?? Because you can put video too… 3 Ev: so, it is written here, it is just look at it..(laughs) 04 Mi: (laughing) calm down, people.. I am learning too. Evaluating the enactement of the curriculum and the participation in school
collective meetings: teachers attitudes towards the experience Teachers’ confidence in the redesigned curriculum steadily increased until the end of the second year. Although tensions and contradictions permeated the whole process of construction and enactment of a new
curriculum, teachers involved considered it a positive experience and demonstrated a great deal of
satisfaction. Paula’s writing in her final research paper exhibit this feeling of ‘getting proof’ that that they could
actually transform the curriculum in a public school in ways they initially thought impossible. She writes: These doubts were only lessened after 2 years teaching, when we had the opportunity to confirm that our
objectives and activities done in class were exactly what’ the national exam for high school (ENEM) asked for. (Paula, final research paper). Here, she represents through relational processes, which represent states of mind or states of being, how
she evaluates the experience: exhibit that the doubts were in a relation of being diminishing as new
teachers were able to confirm that the ‘objective and activities done’ were in a relation of being in
accordance or similar to the requirements of National guidelines: These doubts were’ (intensive relational process) only lessened (state of being) after 2 years teaching
(circumstance)” and “[…] our objectives and activities done in class were (intensive relational process) exactly
(state of being) what ENEM asked for […] (Paula, final research paper) These doubts were’ (intensive relational process) only lessened (state of being) after 2 years teaching
(circumstance)” and “[…] our objectives and activities done in class were (intensive relational process) exactly
(state of being) what ENEM asked for […] (Paula, final research paper) Constructing together a list of criteria to analyze their own curriculum was also important to the
emergent sense of achievement. The coteachers felt responsible for the curriculum and its evaluation, as
Mari stated during a public discussion: ‘We are evaluating what we have done’. ‘We also discuss’ a lot our own practices, what has worked or not. ‘We
implemented’ the curriculum, that was ‘ours, we created and implemented’ at school and each class had a
curriculum that fit their needs (Mari, in a teaching conference) . The sense of responsibility and engagement as new ways of acting and interacting at school is visible in
this excerpt of Mari’s speech in a teaching conference. Page 6 of 13 Both excerpts analyzed here exhibit how (a) different novice teachers act, assuming the role of the competent
peer by developing authorship through active participation and (b) how Aline also developed shared
responsibility for the curriculum production knowing how and when to participate by either leading or listening. In this section, I attempted to delineate on how teachers not only engaged in co-planning meetings
when producing new curriculum and acted as accountable actors but also how institutionalized positions of
power were altered and all participants became teachers and learners simultaneously. These, and similar
episodes in the database, demonstrate and exemplify participants’ ways of acting. It is an example of how
horizontal relations in teacher education programs can emerge (rather than hierarchical, ‘ruling’ relations
of power) and how ways of acting shaped Aline’s representations and identities. The ways of acting
displayed thus far appear crucial aspects with regard to Aline’s ways or representing and being. In arriving
at this particular point, Aline began to express herself publicly, and, in so doing, sustained and constituted
further transformation. For example, when Aline spoke in front of others during mini–conferences, she not
only exhibited empowerment but also increased her sense of empowerment by her engagement in the
activity. Acting as accountable actors and curriculum makers thus appears to be important ways of acting for the
crafting of teachers' identities. It ultimately seems to be the case here that by acting as curricular makers,
teachers were able to develop new forms of representing and being. Jordão and Buhrer (2013) discussing the
teaching practicum in general, stress that when teaching practicum is organized as a ‘enunciation locus’
which positions novice teachers in a place of ‘hybridization’, it offers opportunities for subjects to exercise
agency in this stage of their education. Acta Sci. Educ., v. 42, e44870, 2020 Desenvolvendo capacidade pedagógica para design curricular Page 7 of 13 Evaluating the enactement of the curriculum and the participation in school
collective meetings: teachers attitudes towards the experience The great amount of repetition of the social actor
‘we’, activated through material processes (evaluate, do, implement, create) and verbalization process
(discuss) positions teachers as the Actors of the actions in which the Goal is the curriculum, demonstrating
she believes in their power to enact and transform the curriculum. The sense of being evaluating the curriculum produced constructed by the group is explicit in the
utterance “We (sayer) also discuss (verbalization process) a lot (circumstance) our own practices, what has
worked or not” (Mari, in a teaching conference). The circumstance ‘a lot’ and the lexical choice ‘our own’ and
‘has worked or not’ contribute to this interpretation. Despite obvious engagement, however, the group did not indulge in feelings of success. The group
members identified existing contradictions and insufficiencies that our curriculum was not addressing. For
example, there was evidence that the high school students were not developing oral skills in English to the
desired levels. They were uncertain about whether they sufficiently encouraged the amount of English
spoken in the class. This characterized another way of acting: generally, teachers were reflecting and
criticizing the very work they were doing. However, the same acknowledge of the gap found in the curriculum (lack of oral skills) contributed to
new teachers understanding the power teachers have in redesign the curriculum: teachers have the power to
choose and redesign curriculum according to students needs, national guidelines and their own believes. By
doing that, new teachers become aware of the responsibility of making locally and situated decisions to
teach English. Evidence of transformation regarding the relation was available in the wider school community. In my journal,
an episode described exemplifies the new kind of relations that arose from the 2-year teaching practicum: Today, in staff room, the school supervisor came to talk to me and said that the new teachers are great. She said they
were responsible and committed with school, that they distinguished themselves from the other groups of new teachers
[…] they felt to be “the teachers” of the class because [students] even go after them to solve issues, besides participating
actively on the Student Evaluation Board and other schools meetings. She said she was surprised because they even
know the students and call them by their names (Author’s journal, April 7th 2011). Today, in staff room, the school supervisor came to talk to me and said that the new teachers are great. Page 8 of 13 El Kadri this excerpt, it is visible my representation on the school coordinator. She is the social actor included in
my representation through material and verbal processes: “Today, in staff room, (circunstances) the school
supervisor (actor) came (material process) to talk (verbalization process) to me and said (verbalization
process) that […]” . The fact that I reported the episode in the journal and represented the coordinator as
the Actor and the Sayer of the processes positions her as someone with power in the context to act and to
say. My utterance is then constructed through an indirect speech (‘She said’ – used three times) in which
she is positioned as the one who has the power to evaluate new teachers relations to school and with the
students. This interpretation is possible because representations are ways to attribute meaning, and such as
one, it is linked to power relations because who has the power to represent has the power to define identity
(Silva, 2004). The circumstances ‘today’ and in the ‘staff room’ - although it is a linguistic feature typical of journals -
also allow us to imply this was something considered by me as noteworthy in the journal. The circumstance
‘Today’ here, means something ‘new’ or ‘noteworthy’ occurred, something that was not usual. The fact that
in the sentence ‘she was (intensive relational process) surprised (attribute)’ I represent the coordinator, in
relation to the intensive relational process, as the ‘carrier’ of the attribute ‘surprised’ contributes to this
interpretation that the ways of being and acting at school was seen as not usual: being surprised means “[…]
to strike or occur to with a sudden feeling of wonder or astonishment, as through unexpectedness […]4”,
that is, she did not expect new teachers to act and be like she was describing. The importance of the role of the coordinator in my representation is constructed through the indirect
speech in which is possible to depict the representation of the school coordinator regarding the new
teachers. The transitivity analysis demonstrates that New teachers are social actors included through
funcionalization (new teachers) and also by the pronoun ‘they’. They are first represented as being the
‘carrier’ of the attributes of the intensive relational process: “new teachers (carrier) are (intensive relational
attribute) great (depicted attribute)” and “they (carrier) were (intensive relational attribute) responsible
(depicted attribute) and committed (depicted attribute) with school” . Page 8 of 13 As the use of the relational process
establishes a relation between two entities (Halliday & Matthiessen, 2004) that is, between the carrier and
the attribute related to it,and the conceitualization of this type of process is irreversible, either entities can
be used to identify the other (Halliday & Matthiessen, 2004). In this sense, new teachers are represented
through positive attributes: they are ‘great’, ‘responsible’ and ‘commited’. Attributing qualities to new
teachers through relational process, that is, making strong truth claims about the state of being of others as
has done the coordinator also ascribes to her a position which displays a kind of power which has an uneven
social distribution (Fairclough, 2003). That is, she is the one with the power to evaluate and attribute new
teachers with such qualities, which is seen as noteworthy by me as an example that the school staff started
to value the presence of the new teachers as they recognized the engagement of the latter with and
commitment to the school. New Teachers’ ways of being were also constructed through the representation of themselves as Actors. Besides being represented through relational process, in this excerpt, new teachers are also activated
through material processes: “[…] besides [they] participating (material process) actively on the Student
Evaluation Board and other schools meetings […]” and “[…] they (actor) even know (material) the students
and call them [the students] by their names” . Their identities are represented by me based on the
coordinators evaluation. Through the use of the discourse markers ‘besides’ new teachers’ identities are
represented as more than being responsible and commitment: they ‘participate actively’. Such identity is
reinforced by the use of the discoursive marker ‘even’ “[…] to suggest that something mentioned as a
possibility constitutes an extreme case or an unlikely instance […]”5: “[…] they even call students by their
name […]” and “[…] students (actor) even go after (material process) them (goal) to solve issues” . Calling
students by their names seem to be an indicator of commitment to the students and/or an act of
personalizing students, implying the recognition that new teachers were responsible for students’
development. Interesting to notice is that the new teachers identities crafted in this representation is constructed
through material process associated to experienced professionals. 4 Dictionary.com. (2014). Surprise. Retrieved from http://dictionary.reference.com/browse/surprised?s=t
5 Dictionary.com. (2014). Ever. Retrieved from http://dictionary.reference.com/browse/even?s=t Evaluating the enactement of the curriculum and the participation in school
collective meetings: teachers attitudes towards the experience She said they
were responsible and committed with school, that they distinguished themselves from the other groups of new teachers
[…] they felt to be “the teachers” of the class because [students] even go after them to solve issues, besides participating
actively on the Student Evaluation Board and other schools meetings. She said she was surprised because they even
know the students and call them by their names (Author’s journal, April 7th 2011). Acta Sci. Educ., v. 42, e44870, 2020 Page 8 of 13 That is, it is possible to notice that the
aspects mentioned by me through the indirect speech to report the coordinator’s representations related to Acta Sci. Educ., v. 42, e44870, 2020 Desenvolvendo capacidade pedagógica para design curricular Page 9 of 13 what the coordinator acknowledge as being ways of acting of ‘teachers’ : teachers-in-service are the ones
who generally ‘know the students’, ‘participate actively in school meetings’ , ‘call students by their names’
and ‘solve students issues’. Such construction is reinforced through the adjectives ‘responsible, great,
committed’, all attributes expected from professionals. This interpretation is in keeping with the
representation that new teachers ‘felt to be ‘the teachers’’. The reframing of new teacher’s ways of acting and beings seem to occur in the representation of the
coordinator’s saying in my journal. It is possible to notice the valorization and acknowledge of the school in
the proposal performed by the group. Through her representation, tough, is also possible to notice how the
activities which has permeated the relationship between university-school, in fact, has been characterized
by episodical moments (Ortenzi, 2007) and how surprised she was with new ways of acting. Such new ways
of acting represents new ways of being in the representation. However, these new ways of being are also being crafted by explicitly differentiating the new teacher
from another similar group, creating a difference between ‘us’ and ‘them’ (Van Leeuwen, 2008) Woodward,
2011). I report in the journal that one of the representations of the new teachers reported by the coordinator
is that they distinguished themselves from the other groups of new teachers. The linguistically
materialization of ‘they’ and the ‘other groups’ allow us to argue that new teachers’ identities are crafter
here through ‘border demarcation’ (Silva, 2004), a representational process of classification and elaboration
of similarities and differences (Fairclough, 2003). This is significant for new teachers ways of being because
the way social actors are represented in texts indicate positions regarding them and their activities
(Rezende, 2012). That is, by positioning6 someone, as the coordinator did with new teachers, affects the
repertoire of acts one has access to and the parameters of identity positions assigned define what is
expected of and socially possible for an actor (Reeves, 2009). In another words, this discoursive construction
is only possible through the ongoing engagement with others as individuals participate in their day-to-day
activities. Page 8 of 13 New teachers, therefore, are represented as being the Actors of the process and the carrier of
positive attributes due to their new ways of acting and daily engagement with students and school staff. Such ways of representing position new teachers with emphasized agency and allow us to discuss the
process of identifications and social relations in these interactions. The reframing of the ways of representing the school staff was also product of the new relations. Mariana
also reports in her diary how she changed her mind and constructed new relations to the school as she
participated on the school Student Evaluation Board. She commented on the professional development
week in her journal: I did not imagine that the school (supervisor, coordinator, director) really got involved so much in student’s
development. They even know their names. […] I really liked the freedom teachers have to expose their opinion. It
shows the school is open to changes (Mari’s journal). I did not imagine that the school (supervisor, coordinator, director) really got involved so much in student’s
development. They even know their names. […] I really liked the freedom teachers have to expose their opinion. It
shows the school is open to changes (Mari’s journal). In this excerpt, Mari represents herself as a social actor included and activated through the cognitive
Mental process (imagine) to exhibit her representation of the ‘school community: “I (Senser) did not
imagine (cognitive mental process) that the school (supervisor, coordinator, director) (Actors) really got
involved (material process) so much (circumstance) in student’s development” . The school community is
here represented through ‘functionalization’, that is, when social actors are referred to in terms of an
activity or in terms of something they do, like an occupation or a role (Van Leeuween, 2008): ‘supervisor,
coordinator, director’. They are the actor of the material process ‘got involved’. The same sense of surprised
exhibited in the coordinator’s representation is exhibited here, in Mari’s representation of the school staff:
the linguistic realization ‘I did not imagine’ and the use of ‘even’ in the sentence ‘They even know (mental
process) their names’ also suggest she represents the involvement as an unlikely instance. ‘Know their
names’ seem to appear in the analysis as being a criteria for both school staff and new teachers to indicate
engagement and responsibility towards students’ development. 6 “Positioning can be understood as the discursive construction of personal stories that make a person’s actions intelligible and relatively determinate as social acts and within which
the members of the conversation have specific location” (Harre & Van Langenhove, 1999, p. 395). Final considerations This paper reported an experience of the development of pedagogical capacity through a co-planning. Having had the opportunity to interact in co-plannings and redesigning the curriculum, new attitudes
emerged. Participating in more democratic spaces and being able to redesign their own curricula during
teaching practicum had effects on how novice teachers perceive the participation of high school students. Ways of acting and interacting, that is, participatory positions framed and constructed by and for each
individual, are made visible not only through the students' power to act but also through the interactions
and actions between members. This also occurs through the kinds of opportunities to which he or she has
access, their orientations to which they hold, what each other is accountable for, how they respond to each
other, and how they engage in their ongoing interactions (Niestz, 2010). Based on this experience, I strongly
believe that preparation periods concurrent to those of their schoolteachers and teacher educators are
crucial for more horizontal relationships in classes and, as a result, more effectively cotaught classes. Teachers’ confidence in the redesigned curriculum steadily increased until the end of the second year. Although tensions and contradictions permeated the whole process of construction and enactment of a new
curriculum, teachers involved considered it a positive experience and demonstrated a great deal of
satisfaction. This sense of achievement is grounded in (a) the feedback of students, (b) the prove that they
could actually transform the curriculum in a public school in ways they initially thought impossible, (c)
evaluating and criticizing themselves the curriculum produced and (d) the ways in which this cohort started
to be perceived by others. This result coincides with others regarding that fact that an accountable actor identity is fostered by the
creation of interactional spaces in which novice teachers are not only positioned as contributors whose
inputs are recognized and credited (Niestz, 2010) but also have the possibility to problematize and resolve
noteworthy issues (Greeno, 2006). It means fostering spaces in which novice teachers are able to propose
and evaluate ideas and are treated as if one can do something of one’s own volition by having experiences
that exercise agency (Edwards & D’arcy, 2004). Here, the group appears to experience these ways of acting:
a sense of agency and autonomy that allows them to see themselves as responsible, capable, and a relevant
actors in the educational system. Page 10 of 13 El Kadri Page 10 of 13 changes […]) which positions the school as being the ‘carrier’ of the attribute ‘open’. Such representation is
significant because it can relatively determinate Mari’s future actions as a teacher: representing the school
as open to changes implies in the belief teachers are also agents of transformation. Final considerations Greeno (2006) and Engle and Faux, (2006) and Niestz (2010), for example,
argue that one important aspect of developing agency is having the opportunity to participate and
contribute in interactions where one is framed and positioned as an accountable author who is in charge of
one’s actions. This is important because developing teachers' pedagogical capacity for curriculum design
may influence the degree to which teachers engage in a principled, reform-oriented analysis when creating
learning opportunities for students (Beyer & Davis, 2012). References Acta Sci. Educ., v. 42, e44870, 2020
Ball, D. L., & Cohen, D. K. (1999) Developing practice, developing practitioners: Toward a practice-based
theory of professional education. In G. Sykes, & L. Darling-Hammond (Eds.), Teaching as the learning
profession: handbook of policy and practice (p. 3-32). San Francisco, CA: Jossey Bass. Beyer, C. J., & Davis, E. A. (2009). Using educative curriculum materials to support preservice elementary teachers’
curricular planning: a comparison between two different forms of support. Curriculum Inquiry, 39 (5), 679-203. Doi: 10.1111/j.1467-873X.2009.00464.x
Beyer, C. J., & Davis, E. A. (2012). Developing preservice elementary teachers’ pedagogical design capacity
for reform-based curriculum design. Curriculum Inquiry, 42(3), 386-413. Doi: 10.1111/j.1467-
873X.2012.00599.x
Cheyne, A., & Tarulli, D. (1999). Dialogue, difference, and the ‘third voice’ in the zone of proximal
development. Theory and Psychology, 9(1), p. 5-28. Doi: 10.1177/0959354399091001
Clandinin, D. J., & Connelly, F. M. (1992). Teacher as curriculum maker. In P. W. Jackson (Ed.), Handbook of
research on curriculum (p. 363-401). New York, NY: Macmillan. Acta Sci Educ
v 42 e44870 2020
Ball, D. L., & Cohen, D. K. (1999) Developing practice, developing practitioners: Toward a practice-based
theory of professional education. In G. Sykes, & L. Darling-Hammond (Eds.), Teaching as the learning
profession: handbook of policy and practice (p. 3-32). San Francisco, CA: Jossey Bass. Beyer, C. J., & Davis, E. A. (2009). Using educative curriculum materials to support preservice elementary teachers’
curricular planning: a comparison between two different forms of support. Curriculum Inquiry, 39 (5), 679-203. Doi: 10.1111/j.1467-873X.2009.00464.x
Beyer, C. J., & Davis, E. A. (2012). Developing preservice elementary teachers’ pedagogical design capacity
for reform-based curriculum design. Curriculum Inquiry, 42(3), 386-413. Doi: 10.1111/j.1467-
873X.2012.00599.x
Cheyne, A., & Tarulli, D. (1999). Dialogue, difference, and the ‘third voice’ in the zone of proximal
development. Theory and Psychology, 9(1), p. 5-28. Doi: 10.1177/0959354399091001
Clandinin, D. J., & Connelly, F. M. (1992). Teacher as curriculum maker. In P. W. Jackson (Ed.), Handbook of
research on curriculum (p. 363-401). New York, NY: Macmillan. Ball, D. L., & Cohen, D. K. (1999) Developing practice, developing practitioners: Toward a practice-based
theory of professional education. In G. Sykes, & L. Darling-Hammond (Eds.), Teaching as the learning
profession: handbook of policy and practice (p. 3-32). San Francisco, CA: Jossey Bass. Ball, D. L., & Cohen, D. K. (1999) Developing practice, developing practitioners: Toward a practice-based
theory of professional education. In G. Sykes, & L. Page 8 of 13 Then, Mari evaluates the relations the school keep with the teachers as being desirable ‘and’ positions
teachers as the Sayers of the verbalization process ‘I really liked the freedom teachers have to expose
(verbalization process) their opinion’ . Such experience also allows Mari to represent the school through
relational process ([…] the school (carrier) is (intensive relational process) open (depicted attributed) to Acta Sci. Educ., v. 42, e44870, 2020 Page 10 of 13 Desenvolvendo capacidade pedagógica para design curricular Page 11 of 13 Craig, C. J., & Ross, V. (2008). Cultivating the image of teachers as curriculum makers. In F. M. Connelly, M. F. HE, & J. I. Phillion (Eds.), The SAGE handbook of curriculum and instruction (p. 282-305). Thousand
Oaks, CA: Sage Publications. Davis, E. A. (2006). Preservice elementary teachers’ critique of instructional materials for science. Science
Education, 90(1), 348-375. Doi: 10.1002/sce.20110 ictionary.com. (2014). Ever. Retrieved from http://dictionary.reference.com/browse/even?s=t Dictionary.com. (2014). Surprise. Retrieved from http://dictionary.reference.com/browse/surpr Edwards, A., & D’arcy, C. (2004). Relational agency and disposition in socio-cultural accounts of learning to
teach. Educational Review, 56(2), p. 147-155. Doi: 10.1080/0031910410001693236 Eick, C. J., Ware, F. N., & Jones, M. T. (2003). Coteaching in a secondary science methods course: learning through a
coteaching model that supports early teacher practice. Journal of Science Teacher Education, 15(3), 197-209. Doi:
10.1023/B:JSTE.0000047085.44417.c2 El Kadri, M. S. (2014). English language teachers’ changing identities in a teaching practicum: PIBID and
{coteaching|cogenerative dialogue} as opportunities for professional learning (Doctoral Dissertation in Language
Studies). State University of Londrina, Londrina. El Kadri, M. S. (2018). The Pibidian identity: a critical discourse analysis of the social actor “pibidian” In teacher education programs. Acta scientiarum Language and culture, 40, 1-11. EL Kadri, M. S., Roth, W.M., Jornet, A. & Mateus, E. (2017). Towards a more symmetrical approach to the zone of
proximal development in teacher education. Revista Brasileira de Educação, 22, 668-689. Doi: 10.1590/s1413-
24782017227034. Elden, M., & Levin, M. (1991). Cogenerative learning: bringing participation into action research. In W. F. Whyte (Ed.), Participative action research (p. 127-142). Newbury Park, CA: Sage. Engle, R. A. & Faux, R. B. (2006). Towards productive disciplinary engagement of prospective teachers in educational
psychology: comparing two methods of case-based instruction. Teaching Educational Psychology, 1, 1-22. Doi:
10.1.1.595.9238 Fairclough, N. (2003). Analysing discourse: textual analysis for social research. London, UK: Routledge. Fullan, M. (2003). Change forces with a vengeance. London, UK: Routledge Falmer. Greeno, J. G. (2006). Authoritative, accountable positioning and connected, general knowing: progressive
themes in understanding transfer. Journal of the Learning Sciences, 15(4), 537-547. Doi:
10.1207/s15327809jls1504_4 Grimett, P., & Chinnery, A. (2009). Bridging policy and professional pedagogy in teaching and teacher
education: buffering learning by educating teachers as curriculum makers. Curriculum Inquiry, 39(1), 125-
143. Doi: 10.1111/j.1467-873X.2008.01440.x Grossman, P., & Thompson, C. (2008). Learning from curriculum materials: Scaffolds for new teachers. Teaching and teacher education, 24(8), 2014-2026. Doi: 10.1016/j.tate.2008.05.002 Halliday, M. A. K. (1989). References Darling-Hammond (Eds.), Teaching as the learning
profession: handbook of policy and practice (p. 3-32). San Francisco, CA: Jossey Bass. Beyer, C. J., & Davis, E. A. (2009). Using educative curriculum materials to support preservice elementary teachers’
curricular planning: a comparison between two different forms of support. Curriculum Inquiry, 39 (5), 679-203. Doi: 10.1111/j.1467-873X.2009.00464.x Beyer, C. J., & Davis, E. A. (2009). Using educative curriculum materials to support preservice elementary teachers’
curricular planning: a comparison between two different forms of support. Curriculum Inquiry, 39 (5), 679-203. Doi: 10.1111/j.1467-873X.2009.00464.x Beyer, C. J., & Davis, E. A. (2012). Developing preservice elementary teachers’ pedagogical design capacity
for reform-based curriculum design. Curriculum Inquiry, 42(3), 386-413. Doi: 10.1111/j.1467-
873X.2012.00599.x Beyer, C. J., & Davis, E. A. (2012). Developing preservice elementary teachers’ pedagogical design capacity
for reform-based curriculum design. Curriculum Inquiry, 42(3), 386-413. Doi: 10.1111/j.1467-
873X.2012.00599.x Cheyne, A., & Tarulli, D. (1999). Dialogue, difference, and the ‘third voice’ in the zone of proximal
development. Theory and Psychology, 9(1), p. 5-28. Doi: 10.1177/0959354399091001 Clandinin, D. J., & Connelly, F. M. (1992). Teacher as curriculum maker. In P. W. Jackson (Ed.), Handbook of
research on curriculum (p. 363-401). New York, NY: Macmillan. Acta Sci. Educ., v. 42, e44870, 2020 Desenvolvendo capacidade pedagógica para design curricular Desenvolvendo capacidade pedagógica para design curricular Re/thinking the zone of proximal development (symmetrically). Min
Activity, 17(4), 299-307. Doi: 10.1080/10749031003775038 Roth, W. M., Lawless, D., & Tobin, K. (2000). {Coteaching | cogenerative dialoguing} as praxis of dialectic
method. Forum: Qualitative Social Research, 1(3), p. 1-15. Retrieved from at www.qualitative-
research.net/index.php/fqs/article/ viewArticle/1054 Roth, W. M., Lawless, D., & Tobin, K. (2000). {Coteaching | cogenerative dialoguing} as praxis of dialectic
method. Forum: Qualitative Social Research, 1(3), p. 1-15. Retrieved from at www.qualitative-
research.net/index.php/fqs/article/ viewArticle/1054 Scantlebury, K., Gallo-Fox, J., & Wassell, B. (2008). Coteaching as a model for preservice secondary science
teacher education. Teaching and Teacher Education, 24(4), 967-981. Doi: 10.1016/j.tate.2007.10.008 Scantlebury, K., Gallo-Fox, J., & Wassell, B. (2008). Coteaching as a model for preservice secondary science
teacher education. Teaching and Teacher Education, 24(4), 967-981. Doi: 10.1016/j.tate.2007.10.008 Silva, T. T. (2004). A produção social da identidade e da diferença. In T. T. Silva (Org.), Identidade e
diferença (p. 73-102). Petrópolis, RJ: Vozes. Silva, T. T. (2004). A produção social da identidade e da diferença. In T. T. Silva (Org.), Identidade e
diferença (p. 73-102). Petrópolis, RJ: Vozes. Stith, I., & Roth, W-M. (2006). Who gets to ask the questions: the ethics in/of cogenerative dialogue praxis. Forum: Qualitative Social Research, 7(2), 1-25. Retrieved from http://www.qualitative-
research.net/index.php/fqs/article/view/124/262 Stith, I., & Roth, W-M. (2006). Who gets to ask the questions: the ethics in/of cogenerative dialogue praxis. Forum: Qualitative Social Research, 7(2), 1-25. Retrieved from http://www.qualitative-
research.net/index.php/fqs/article/view/124/262 Stith, I., & Roth, W-M. (2010). Teaching as mediation: the cogenerative dialogue and ethical
understandings. Teaching and Teacher Education, 26(2), p. 363-370. Doi: 10.1016/j.tate.2009.09.008
d
l f
l d
l
k Stith, I., & Roth, W-M. (2010). Teaching as mediation: the cogenerative dialogue and ethical
understandings. Teaching and Teacher Education, 26(2), p. 363-370. Doi: 10.1016/j.tate.2009 Stith, I., & Roth, W-M. (2010). Teaching as mediation: the cogenerative dialogue and ethical
understandings. Teaching and Teacher Education, 26(2), p. 363-370. Doi: 10.1016/j.tate.2009.09.008
Van Leeuwen, T. (2008). Discourse and practice: new tools for critical discourse analysis. New York, NY:
Oxford University Press Van Leeuwen, T. (2008). Discourse and practice: new tools for critical discourse analysis. New York, NY:
Oxford University Press. Van Leeuwen, T. (2008). Discourse and practice: new tools for critical discourse analysis. New York, NY:
Oxford University Press. Wassell, B., & Lavan, S. K. (2009). Revisiting the dialogue on the transition from coteaching to inservice
teaching: new frameworks, additional benefits and emergent issues. Desenvolvendo capacidade pedagógica para design curricular Cultural Studies of Science Education,
4(2), p. 477-484. Doi: 10.1007/s11422-008-9152-7 Wassell, B., & Lavan, S. K. (2009). Revisiting the dialogue on the transition from coteaching to inservice
teaching: new frameworks, additional benefits and emergent issues. Cultural Studies of Science Education,
4(2), p. 477-484. Doi: 10.1007/s11422-008-9152-7 Woodward, K. (2011) Identidade e diferença: uma discussão teórica e conceitual. In: Silva, T. T., Hall, S. &
Woodward, K. (Org.). Identidade e diferença: a perspectiva dos estudos culturais. (p.7-72) Petrópolis:
Vozes. Woodward, K. (2011) Identidade e diferença: uma discussão teórica e conceitual. In: Silva, T. T., Hall, S. &
Woodward, K. (Org.). Identidade e diferença: a perspectiva dos estudos culturais. (p.7-72) Petrópolis:
Vozes. Young, L., & Fitzgerald, B. (2006). The power of language. London, UK: Equinox. Desenvolvendo capacidade pedagógica para design curricular Language as social semiotic: the social interpretation of language and meaning. London: Eduard Arnold. Halliday, M. A. K., & Matthiessen, C. M. I. M. (2004). An introduction to functional grammar. London, UK:
Hodder Arnold. Harré, R. & Van Langenhove, L. (1999). Positioning theory: moral contexts of intentional actions (pp. 01-13). Oxford: Blackwell Publishers. Harris-Hart, C. (2009). Performing curriculum: exploring the role of teachers and teacher educators. Curriculum Inquiry, 39(1), 111-123. Doi: 10.1111/j.1467-873X.2008.01440.x Jordão, C. M., & Buhrer, E. A. C. (2013). A condição de aluno- professor de língua inglesa em discussão. Educação & Realidade, 38(2), 669-682. (2008). Transitivity as a tool for ideological analysis. Journal of Third World Studies, 25(1), 2-27. Nicol, C. C., & Crespo, S. M. (2006). Learning to teach with mathematics textbooks: how preservice teachers
interpret and use curriculum materials. Educational Studies in Mathmatics, 62(1), p. 331-355. Doi:
10.1007/s10649-006-5423-y Niestz, T. (2010). Chasms and bridges: generativity in the space between educators’ communities of
practice. Teaching and Teacher Education, 26(1), 37-44. Niestz, T. (2010). Chasms and bridges: generativity in the space between educators’ communities of
practice. Teaching and Teacher Education, 26(1), 37-44. Acta Sci. Educ., v. 42, e44870, 2020 El Kadri El Kadri Page 12 of 13 Ortenzi, D. I. B. G. (2007). A construção de um artefato mediador da prática de ensino de inglês (Tese de
Doutorado em Estudos da Linguagem). Universidade Estadual de Londrina, Londrina. Reeves, J. (2009). Teacher investment in learner identity. Teaching and Teacher Education, 25(1), 34-41. Doi:
10.1016/j.tate.2008.06.003 Remillard, J. T. (2005). Examining key concepts in research on teachers’ use of mathematics curricula. Review of Educational Research Summer, 75(2), p. 211-246. Doi: 10.3102/00346543075002211 Rezende, V. (2012). Critical discourse analysis and ethnography: the crisis in the national street childrens’
movement in Brazil. Qualitative Research, 13(5), 511-527. Doi: 10.1177/1468794112451040 Roth, W. M. & Tobin, K. (2001). Learning to teach science as praxis. Teaching and Teacher Education,
17, 741–762. Doi: 10.1016/S0742-051X(01)00027-0 Roth, W. M. (2002). Lessons on/from the dihybrid cross: an activity theoretical study of learning in
coteaching. Journal of Research in Science Teaching, 39(3), p. 253-282. Doi: 10.1002/tea.10018
Roth, W. M., & Radford, L. (2010). Re/thinking the zone of proximal development (symmetrically). Mind, Culture, and Roth, W. M. (2002). Lessons on/from the dihybrid cross: an activity theoretical study of learning in
coteaching. Journal of Research in Science Teaching, 39(3), p. 253-282. Doi: 10.1002/tea.10018 Roth, W. M., & Radford, L. (2010). Desenvolvendo capacidade pedagógica para design curricular Page 13 of 13 Page 13 of 13 Page 13 of 13 institucionais) quanto em contextos de ambientes informais, como por exemplo, as redes sociais. A interface entre
linguagens e tecnologias digitais, o papel do inglês no cenário atual e práticas democráticas de aprendizagem
(deliberação, co-teaching e diálogo cogerativo, comunidades de prática) também permeiam suas práticas. Tem
experiência na área de ensino de línguas estrangeiras, atuando principalmente na formação de professores em relação
ao aprendizado em contexto escolar. Atualmente, interessa-se por pesquisas na área de formação do professor pela
perspectiva socio-histórico-cultural, análise crítica do discurso, novas tecnologias, inglês como língua franca e formação
de professores. Tem vários artigos, livros e capítulos publicados em cenário nacional e internacional. ORCID: http://orcid org/0000-0002-5836-4988 E-mail: mielkadri@hotmail.com INFORMATION ABOUT THE AUTHOR Michele Salles El Kadri: Professora Adjunta da Universidade Estadual de Londrina. Pós-Doutora em Linguística
Aplicada pela Unicamp e Doutora em Estudos da Linguagem (UEL) com estágio de doutorado-sandwich na Griffith
University (Australia). Mestre em Estudos da Linguagem e Especialista em língua inglesa pela mesma Universidade. Membro do GT de Linguagens e Tecnologias da Anpoll, professora no Programa de Pós Graduação em Educação da UEL e
Coordenadora do Mestrado Profissional em Letras Estrangeiras Modernas da UEL. Bolsista Produtividade da Fundação
Araucária. Foi coordenadora do Colegiado de Letras Estrangeiras Modernas, Presidente do FOPE (Fórum Permanente das
Licenciaturas)
da
UEL
e
coordenadora
Pedagógica
da
COPS-UEL. Desenvolve
pesquisa
sobre
aprendizagens/transformações docentes em contexto escolar pelo viés da perspectiva sócio-histórico-cultural e dos
referenciais de análise crítica da linguagem. Tem interesse em estudos que investiguem a aprendizagem de professores
em contexto escolar com foco nas transformações nas relações interpessoais (modos de agir), nas práticas discursivas
(modos de representar) e nas identificações (modos de ser). Também tem interesse nas formas como a escola, a
comunidade e o conhecimento são representados e (re)ssignificados de acordo com as práticas experenciadas em
contexto de estágio e iniciação a docência. Sua pesquisa também foca na aprendizagem de alunos, professores e
comunidade no contexto de escolas e universidades mediados por diversos artefatos (tecnológicos, humanos, Acta Sci. Educ., v. 42, e44870, 2020 Acta Sci. Educ., v. 42, e44870, 2020 NOTE: Michele Salles El Kadri foi responsável pela concepção, análise e interpretação dos dados; redação e revisão crítica do
conteúdo do manuscrito e ainda, aprovação da versão final a ser publicada. Acta Sci. Educ., v. 42, e44870, 2020
|
https://openalex.org/W3149239941
|
https://www.acjournal.ru/jour/article/download/1622/1367
|
Russian
| null |
Prevention of Youth Deviations in Russia and Abroad
|
Upravlenčeskoe konsulʹtirovanie
| 2,021
|
cc-by
| 4,257
|
ОБЩЕСТВО И РЕФОРМЫ ОБЩЕСТВО И РЕФОРМЫ DOI 10.22394/1726-1139-2021-1-97-105 РЕФЕРАТ Цель и задачи. В статье проанализированы социальные институты, входящие в си-
стему профилактики девиаций среди детей и молодежи. Отмечена особая роль инсти-
тутов, контролирующих деятельность людей и регулирующих их отношения в сферах
общественной жизни, к которым также относится общественно опасное поведение. Рассмотрен опыт ряда зарубежных стран по профилактике девиантного поведения
молодежи. Методы. В исследовании использован комплекс общенаучных методов, таких как
анализ, синтез, обобщение, сравнение, системно-функциональный и комплексный
подход. В рамках заявленной темы осуществлена систематизация теоретических по-
ложений и современных подходов к проблеме молодежных девиаций на основе изуче-
ния работ различных авторов, нормативных документов, официальной статистики. Теоретическая и практическая значимость представленного исследования со-
стоит в том, что оно может стать основой для дальнейшего изучения деятельности
социальных институтов по профилактике различных девиаций молодежи. Проведенный
анализ российского и зарубежного опыта профилактики дает возможность выявить
состояние проблем подростков и молодежи, актуализирует значимость государствен-
ной политики в отношении данных категорий населения, как в процессе формирования,
так и в процессе ее реализации. Полученные материалы позволяют выделить позитив-
ные результаты и выявить факторы, способствующие дальнейшему развитию деятель-
ности по предупреждению общественно опасного поведения молодежи. Результаты и выводы. В статье представлены результаты исследования деятель-
ности социальных институтов по профилактике девиаций молодежи в России и ряде
зарубежных стран. Выявлены слабые и сильные стороны в системе институтов про-
филактики девиантного поведения. Обоснована недостаточная эффективность органи-
зации государственной системы профилактики. Сформулированы выводы о необходи-
мости объединения усилий государственных и негосударственных ресурсов в этом
направлении. Ключевые слова: подростки, молодежь, социальные институты, государственная система
профилактики Для цитирования: Цинченко Г. М., Орлова И. С. Профилактика молодежных девиаций
в России и за рубежом // Управленческое консультирование. 2021. № 1. С. 97–105. Цинченко Г. М.*, Орлова И. С. Цинченко Г. М.*, Орлова И. С. Российская академия народного хозяйства и государственной службы при Президенте Рос-
сийской Федерации (Северо-Западный институт управления РАНХиГС), Санкт-Петербург,
Российская Федерация; galina_ts55@mail.ru Российская академия народного хозяйства и государственной службы при Президенте Рос-
сийской Федерации (Северо-Западный институт управления РАНХиГС), Санкт-Петербург,
Российская Федерация; galina_ts55@mail.ru Galina M. Tsinchenko*, Inna S. Orlova Galina M. Tsinchenko*, Inna S. Orlova
Russian Presidential Academy of National Economy and Public Administration (North-West Institute
of Management of RANEPA), Saint-Petersburg, Russian Federation; galina_ts55@mail.ru Russian Presidential Academy of National Economy and Public Administration (North-We
of Management of RANEPA), Saint-Petersburg, Russian Federation; galina_ts55@mail. ABSTRACT
Goals and objectives. The article analyzes the resources of support for families with disabled
children living in the Leningrad region. There is substantial state support for this category of
families, developing the potential of non-state support resources. The results of the govern-
ment’s efforts to support families with children with disabilities, as well as the tasks set to be
solved in the near and long term, are considered. Для цитирования: Цинченко Г. М., Орлова И. С. Профилактика молодежных девиаций
в России и за рубежом // Управленческое консультирование. 2021. № 1. С. 97–105. Prevention of Youth Deviations in Russia and Abroad Galina M. Tsinchenko*, Inna S. Orlova ABSTRACT 97 УПРАВЛЕНЧЕСКОЕ КОНСУЛЬТИРОВАНИЕ . № 1. 2021 ОБЩЕСТВО И РЕФОРМЫ Methods. The study used a set of general scientific methods, such as analysis, synthesis,
generalization, comparison, system-functional and integrated approach. Within the framework
of the stated theme, theoretical provisions and modern approaches have been organized
by studying the works of various authors, regulatory documents and official statistics. The theoretical and practical significance of the study is that it can be the basis for
further study of social resources and life strategies of families with children with disabilities,
their transformation. The analysis provides an opportunity to identify the problems of families
with children with disabilities in Leningrad, actualizes the importance of state policy regarding
these categories of families, both in the process of formation and in its implementation. The materials provide us with positive results achieved by the authorities of the Leningrad
region and identify ways to further develop both state and non-state social support for
families with children with disabilities in the region. Results and conclusions. The article presents the results of the research of the resources
of state and non-state social support for families with children with disabilities in The
Leningrad region. Conclusions have been drawn on the need to unite the efforts of state
and non-state resources in this direction Keywords: adolescents, young people, social institutions, the state prevention system For citing: Tsinchenko G. M., Orlova I. S. Prevention of Youth Deviations in Russia and Abroad //
Administrative consulting. 2021. N 1. P. 97–105. Противоречивые глобальные перемены в сферах экономики, политики, образо-
вания, общественного строя Российской Федерации за последние десятилетия
привели к массовому обеднению населения, повышению смертности, росту ал-
коголизации и наркотизации общества, что предопределило рост подростковых
девиаций. Несмотря на то, что по данным статистики в период с 2016 по 2018 г. на 31%
снизилось количество несовершеннолетних, страдающих алкоголизмом, однако
неизменным остается показатель детской и подростковой наркомании. В среднем
в России около 30 тыс. подростков страдают от наркотической зависимости, что
приводит к развитию серьезных заболеваний в этой среде и к высокой ранней
смертности. Значительным также остается и показатель детской проституции. Ежегодно около 2 млн подростков женского и мужского пола в возрасте от 14 до
17 лет занимаются проституцией1. Согласно данным Росстата, Россия занимает
3-е место в мире по количеству подростковых суицидов. Показатель подростко-
вого суицида в нашей стране превышает средний мировой показатель в 3 раза. На 100 тыс. 1 Единая межведомственная информационно-статистическая система (ЕМИСС) [Электрон
ный ресурс]. URL: https://rosstat.gov.ru/emiss (дата обращения: 12.09.2020).
2 Федеральная служба государственной статистики [Электронный ресурс]. URL: https://
rosstat.gov.ru/0 (дата обращения: 26.09.2020). ABSTRACT детей в возрасте до 14 лет 2,5 кончают с собой, а из подростков от
15 до 19 лет — 16,3 сводят счеты с жизнью2. Отсутствие положительной дина-
мики в статистике детских и молодежных девиаций свидетельствует о недоста-
точной эффективности государственной системы профилактики девиантного по-
ведения. В этой связи остается актуальной необходимость исследования деятельности
государственных систем по профилактике девиантного поведения с целью повы-
шения эффективности принятия управленческих решений и государственных мер
в сфере предотвращения причин возникновения девиаций. В процессе профилактики девиантного поведения особую роль играют соци-
альные институты, представляющие собой стабильные формы организации и кон-
троля общественной жизни. Социальные институты контролируют деятельность УПРАВЛЕНЧЕСКОЕ КОНСУЛЬТИРОВАНИЕ . № 1 . 2021 98 людей, регулируют их отношения и поведение в различных сферах общественной
жизни, в том числе и общественно опасное поведение. Особую роль берут на
себя следующие социальные институты: государство, семья, политические пар-
тии, молодежные общественные организации и движения, суд, культура и об-
разование [1]. Они оказывают влияние на становление молодого поколения,
определение его места и роли в обществе, формирование поведенческих осо-
бенностей (рис.). людей, регулируют их отношения и поведение в различных сферах общественной
жизни, в том числе и общественно опасное поведение. Особую роль берут на
себя следующие социальные институты: государство, семья, политические пар-
тии, молодежные общественные организации и движения, суд, культура и об-
разование [1]. Они оказывают влияние на становление молодого поколения,
определение его места и роли в обществе, формирование поведенческих осо-
бенностей (рис.). ОБЩЕСТВО И РЕФОРМЫ Очевидно, что каждый социальный институт определенным образом влияет на
сознание и поведение несовершеннолетних. Если устойчивые моральные ценности,
сложившиеся традиции, привычки, общественное мнение воздействуют опосредо-
ванно, то государство, политические партии, подростковые организации, школы,
клубы по интересам действуют более активно, влияя на формирование жизненной
позиции и позиционирования несовершеннолетними себя в обществе. Эти группы
социальных институтов взаимосвязаны, нацелены на формирование позитивных
стартовых жизненных условий для подрастающего поколения. В Российской Федерации несколько лет существует устойчивая система про-
филактики безнадзорности и правонарушений несовершеннолетних. Основными
задачами данной системы являются предотвращение общественно опасного по-
ведения несовершеннолетних и эффективная борьба с последствиями их девиант-
ного поведения. Согласно ст. 4 Федерального закона от 24.06.1999 № 120-ФЗ
(ред. ABSTRACT от 23.11.2015) «Об основах системы профилактики безнадзорности и право-
нарушений несовершеннолетних»1 в систему профилактики безнадзорности и пра-
вонарушений несовершеннолетних входят: • органы, составляющие систему по профилактике безнадзорности и правонару-
шений несовершеннолетних; • органы, составляющие систему по профилактике безнадзорности и правонару-
шений несовершеннолетних; • комиссии по делам несовершеннолетних и защите их прав; • органы опеки и попечительства; • органы опеки и попечительства; • органы по делам молодежи; • органы управления социальной защитой населения; • федеральные органы государственной власти и органы государственной власти
субъектов Российской Федерации, осуществляющие государственное управление
в сфере образования; • федеральные органы государственной власти и органы государственной власти
субъектов Российской Федерации, осуществляющие государственное управление
в сфере образования; Социальные
итуты
инст
Госуда
во
рст
По
ческие партии
лити
М
твенн е
олодежные общес
ы организации
Суд
Семья
К
ьтура
ул
О
ов ние
браз
а Социальные
итуты
инст
Госуда
во
рст
По
ческие партии
лити
М
твенн е
олодежные общес
ы организации
Суд
Семья
К
ьтура
ул
О
ов ние
браз
а Рис. Социальные институты, контролирующие общественно опасное поведение
Fig. Social institutions that control socially dangerous behaviour 1 Федеральный закон от 24.06.1999 № 120-ФЗ (с изменениями и дополнениями) «Об основах
системы профилактики безнадзорности и правонарушений несовершеннолетних» [Электронный
ресурс]. URL: https://base.garant.ru/12116087 (дата обращения: 26.09.2020). 99 ОБЩЕСТВО И РЕФОРМЫ ОРМЫ
• органы местного самоуправления, осуществляющие управление в сфере обра-
зования; ОРМЫ
• органы местного самоуправления, осуществляющие управление в сфере обра-
зования; ЕФО
• органы управления здравоохранением; • органы службы занятости; ВО И
• учреждения уголовно-исполнительной системы (следственные изоляторы, вос-
питательные колонии и уголовно-исполнительные инспекции). • учреждения уголовно-исполнительной системы (следственные изоляторы, вос-
питательные колонии и уголовно-исполнительные инспекции). К
ф ЩЕСТВО И
• учреждения уголовно-исполнительной системы (следственные изоляторы, вос-
питательные колонии и уголовно-исполнительные инспекции). Контроль над деятельностью перечисленных органов осуществляют федеральные
органы государственной власти и органы государственной власти субъектов Рос- Контроль над деятельностью перечисленных органов осуществляют федеральные
органы государственной власти и органы государственной власти субъектов Рос-
сийской Федерации. Ведущими задачами государственных органов и социальных
учреждений системы профилактики безнадзорности и правонарушений совершен-
нолетних являются: • предупреждение безнадзорности, беспризорности, правонарушений и антиобще-
ственных действий несовершеннолетних, выявление и устранение причин и ус-
ловий, способствующих этому; обеспечение защиты прав и законных интересов несовершеннолетних;
б • социально-педагогическая реабилитация несовершеннолетних, находящихся в со-
циально опасном положении. • социально-педагогическая реабилитация несовершеннолетних, находящихся в со-
циально опасном положении. 1 Федеральный закон от 24.06.1999 № 120–ФЗ (с изменениями и дополнениями) «Об
основах системы профилактики безнадзорности и правонарушений несовершеннолетних»
[Электронный ресурс]. URL: https://base.garant.ru/12116087/ (дата обращения: 26.09.2020).
2 Федеральный закон «Об образовании в Российской Федерации» от 29.12.2012 № 273-ФЗ
(последняя редакция) [Электронный ресурс]. URL: http://www.consultant.ru/document/cons_
doc_LAW_140174/ (дата обращения 15.10.2020). [Электронный ресурс]. URL: https://base.garant.ru/12116087/ (дата обращения: 26.09.2020).
2 Федеральный закон «Об образовании в Российской Федерации» от 29.12.2012 № 273-ФЗ
(последняя редакция) [Электронный ресурс]. URL: http://www.consultant.ru/document/cons_
doc_LAW_140174/ (дата обращения 15.10.2020). ABSTRACT Деятельность по предупреждению общественно опасного поведения осущест-
вляется на следующих принципах: законности, демократизма, гуманного обращения
с подростками, поддержки института семьи и эффективного взаимодействия с ней,
индивидуального подхода к подросткам, соблюдения конфиденциальности полу-
ченных данных, обеспечения ответственности должностных лиц и граждан за на-
рушение прав и законных интересов несовершеннолетних. Проведение непосредственной профилактической работы с молодежью возла-
гается на социальные учреждения различной ведомственной принадлежности. Ф Согласно федеральному закону от 24.06.1999 № 120-ФЗ (ред. от 23.11.2015)
«Об основах системы профилактики безнадзорности и правонарушений несовер
шеннолетних»1 в систему профилактики безнадзорности и правонарушений со-
вершеннолетних входят следующие органы и учреждения системы образования:
• органы управления образованием; • общеобразовательные учреждения общего образования, образовательные
учреждения начального профессионального, среднего профессионального
образования и другие учреждения, осуществляющие образовательный про-
цесс; • общеобразовательные учреждения общего образования, образовательные
учреждения начального профессионального, среднего профессионального
образования и другие учреждения, осуществляющие образовательный про-
цесс; • образовательные учреждения для детей-сирот и детей, оставшихся без попече-
ния родителей; вательные учреждения для детей-сирот и детей, оставшихся без попече-
дителей; • специальные учебно-воспитательные учреждения открытого и закрыто
органов управления образованием. льные учебно-воспитательные учреждения открытого и закрытого типов
в управления образованием. Определение несовершеннолетних граждан, в отношении которых регулярно
ведется профилактическая деятельность в образовательных учреждениях, огово-
рено определением общественно опасной деятельности, согласно национальному
праву. В п. 11 Закона РФ «Об образовании»2 понятия «общественно опасного» и «де-
виантного» поведения тождественны. Согласно данному закону, дети, достигшие
возраста 11 лет, по решению суда могут быть определены в специализированные
образовательные учреждения, которые смогут обеспечить комфортные условия для Федеральный закон от 24.06.1999 № 120 ФЗ (с изменениями и дополнениями) Об
основах системы профилактики безнадзорности и правонарушений несовершеннолетних»
[Электронный ресурс]. URL: https://base.garant.ru/12116087/ (дата обращения: 26.09.2020). 2 Федеральный закон «Об образовании в Российской Федерации» от 29.12.2012 № 273-ФЗ
(последняя редакция) [Электронный ресурс]. URL: http://www.consultant.ru/document/cons_
doc_LAW_140174/ (дата обращения 15.10.2020). 100 УПРАВЛЕНЧЕСКОЕ КОНСУЛЬТИРОВАНИЕ . № 1 . 2021 получения образования, реабилитации подростков, окажут эффективные медицин-
ские услуги, обеспечат профессиональной подготовкой. получения образования, реабилитации подростков, окажут эффективные медицин-
ские услуги, обеспечат профессиональной подготовкой. 1 Постановление Правительства РФ от 7 марта 1995 г. № 233 «Об утверждении Типового
положения об образовательном учреждении дополнительного образования детей» (с изме-
нениями и дополнениями) [Электронный ресурс]. URL: https://base.garant.ru/136913/ (дата
обращения: 26.09.2020). ABSTRACT 2021 ВО И РЕФОРМЫ
по предупреждению девиации среди несовершеннолетних и борьбы с ней; повы-
шаются ответственность и контроль правительства за работой школьных учреж-
дений по воспитанию несовершеннолетних, по их интеграции в современное
японское общество, укреплению моральных ценностей в подростковой среде [4]. Эффективными мероприятиями правительства Японии по борьбе с девиацией
являются: ОБЩЕСТВО И РЕФОРМЫ стимулирование активизации деятельности общественных организаций; • ответственность и контроль государства за деятельностью школы по обеспече-
нию воспитания подрастающего поколения; • функционирование эффективной системы правового управления школьным об-
разованием. Среди высокоразвитых стран Европы важную роль в сфере профилактики деви-
антного поведения среди несовершеннолетних, а также предупреждению преступ-
ности среди граждан в целом играет такая страна, как Германия [2]. Правительство
Германии не применяет общее уголовное право по отношению к гражданам, не
достигшим 21 года, для того чтобы помочь подросткам, еще не сформировавшим-
ся в своих убеждениях, сделать грамотный выбор в сложных жизненных ситуациях,
не переступая закон. В стране специфично и судопроизводство по правонаруше-
ниям, совершенным несовершеннолетними. Расследование этих дел проводит
специализированная прокуратура по делам несовершеннолетних граждан. Главным
источником уголовного права несовершеннолетних граждан ФРГ является Закон
об отправлении правосудия по делам молодежи — системный законодательный
акт, который включает в себя нормы уголовного, уголовно-процессуального и уго-
ловно-исполнительного права (JGG). Данный закон в качестве мер воздействия на
правонарушителей предусматривает: воспитательные меры, принудительные меры,
уголовное наказание. «Закон о защите молодежи» от 23.07.2002 выделяет базовые группы: дети —
граждане, до наступления 14 лет, и подростки — граждане от 14 до 18 лет, от 18
до 24 лет — «молодые взрослые». Правительство Германии убеждено, что граж-
данин, не достигший возраста 24 лет, находится на этапе формирования мировоз-
зрения, соответственно, ему свойственно ошибаться. Находясь под эффективным
влиянием социальных институтов (дом, семья, государство, образовательные уч-
реждения), обучаясь в благоприятных условиях, приспособленных к росту и раз-
витию, несовершеннолетний сможет грамотно определиться в своих политических
и общественных взглядах. В Германии существует специальная нормативная база,
регулирующая общественную профилактику девиантного поведения среди моло-
дежи [2]. Эффективная политика Германии по профилактике общественно опасного по-
ведения несовершеннолетних заключается во взаимодействии государственных
и общественных институтов. Путем открытого диалога государство реализует пра-
во подрастающего поколения на существование в комфортных условиях, положи-
тельно сказывающихся на самоопределении несовершеннолетнего, как граждани-
на своей страны. Государственная политика Германии в сфере предупреждения
девиации несовершеннолетних направлена на эффективное образование молоде-
жи, по получению которого гражданам предоставляются рабочие места, а уровень
зарплат ограничивает людей от риска преступления черты закона. ABSTRACT ОБЩЕСТВО И РЕФОРМЫ Специализированные учебно-воспитательные учреждения1 создаются для не-
совершеннолетних граждан, которые нуждаются в особых условиях педагогиче-
ского воздействия, образовательной деятельности и требующих особого психо-
логического подхода в следующих случаях: не несут уголовной ответственности,
в силу того, что на момент совершения преступления не достигли совершенно-
летия; достигли совершеннолетия, но не несут уголовную ответственность, так
как на момент осуществления общественно опасного деяния не могли осознавать
общественную опасность своих действий, в связи с отставанием в развитии, не
связанным с душевно-психическим расстройством. Условия в таких учреждениях
должны способствовать проведению социально-профилактической работы с не-
совершеннолетними, нацеленной на их социальную реабилитацию и коррекцию
поведения. Профилактика девиантного поведения является базовой предпосылкой становле-
ния подрастающего поколения. Ребенок с общественно опасным поведением не
становится таким случайно. Антисоциальные убеждения, противоречащие нормам
морали, формируются задолго до того, как подросток перестает взаимодействовать
с социальными институтами (семьей, школой, государством). Задачей системы по
предупреждению девиантного поведения среди несовершеннолетних выступает его
своевременная профилактика. Она достигается путем эффективного взаимодействия
социальных институтов, открытого диалога с гражданами страны, совместной дея-
тельности государства и общественных молодежных организаций. Проблема девиаций в молодежной среде характерна для большинства стран,
в каждой стране сложился национальный опыт ее решения. Зарубежные теорети-
ческие подходы и социальная профилактическая практика в работе с молодежью
также могут быть полезны и для России. Япония имеет самый низкий уровень проявления девиантного поведения среди
несовершеннолетних в мире. Особенностью японской политики, направленной на
профилактику безнадзорности и девиантного поведения в молодежной среде, мож
но считать ярко выраженный адресный характер. Он заключается в нацеленности
профилактических мер как на детей и подростков, обучающихся в средних и стар-
ших классах школы, так и на систему школьного образования в целом. Антидеви-
антная политика Японии включает в себя систему мер, объединяющую усилия
правительства, школы, семьи и общества по предотвращению общественно опас-
ного поведения среди подростков. В государственной политике по отношению к подрастающему поколению эффек-
тивно используется система общественного контроля, например, традиционное для
граждан Японии чувство принадлежности к особой социальной группе, ассоцииро-
вание личности с этой социальной группой, как ведущий основополагающий инстру-
мент общественного контроля, позволяющий предотвратить проявление девиантно-
го поведения среди несовершеннолетних. В числе мероприятий, реализуемых государственной властью Японии в рамках
политики, направленной на предупреждение девиантного поведения, особой эф-
фективностью обладает активная деятельность общественных организаций, при
помощи которых налаживается взаимосвязь между социальными институтами. Создается своеобразная система, которая усиливает роль общества в действиях 101 УПРАВЛЕНЧЕСКОЕ КОНСУЛЬТИРОВАНИЕ . № 1. ABSTRACT Также государ-
ство активно взаимодействует с детскими, подростковыми и молодежными объеди-
нениями, в соответствии с их классификациями. ф
Факторами эффективного предотвращения преступности среди несовершенно-
летних в Германии через государственные институты являются [2]: Факторами эффективного предотвращения преступности среди несовершенно
летних в Германии через государственные институты являются [2]:
• применение комплексного подхода к образованию молодежи, а именно: соче-
тание образования с обеспечением молодежи рабочими местами; • применение комплексного подхода к образованию молодежи, а именно: соче-
тание образования с обеспечением молодежи рабочими местами; 102 УПРАВЛЕНЧЕСКОЕ КОНСУЛЬТИРОВАНИЕ . № 1 . 2021 • сотрудничество власти и неправительственных организаций на всех уровнях
реализации молодежной политики; • сотрудничество власти и неправительственных организаций на всех уровнях
реализации молодежной политики; ОБЩЕСТВО И РЕФОРМЫ • структурирование молодежной политики по уровням — общенациональным, реги-
ональным и местным; • структурирование молодежной политики по уровням — общенациональным, реги-
ональным и местным; • использование принципа субсидиарности, когда основная ответственность, в
числе финансовая, возлагается на низовой уровень; • использование принципа субсидиарности, когда основная ответственность, в том
числе финансовая, возлагается на низовой уровень; • использование принципа субсидиарности, когда основ
числе финансовая, возлагается на низовой уровень; • условное деление единого массива молодежи на непосредственно молодежь
и «молодых взрослых», поскольку приоритеты этих возрастных групп различны • условное деление единого массива молодежи на непосредственно молодежь
и «молодых взрослых», поскольку приоритеты этих возрастных групп различны. В А В Англии акцент по предупреждению девиантного поведения молодежи делает-
ся на вторичную профилактику. На лиц, нарушивших закон, распространяются
такие меры государственного принуждения, как условное осуждение, ограничение
свободы и штраф. Социальный работник ведет наблюдение за осужденным в те-
чение всего периода условного заключения, продолжительность которого может
быть сроком от 6 месяцев до 3 лет. Уголовное законодательство Англии выделяет три группы несовершеннолетних. 1. Малолетние дети в возрасте до 10 лет. Для них установлена неоспоримая пре-
зумпция об уголовной недееспособности. 1. Малолетние дети в возрасте до 10 лет. Для них установлена неоспоримая пре-
зумпция об уголовной недееспособности. 2. Дети в возрасте от 10 до 14 лет. Уголовная ответственность по факту возможна,
но вопрос о ее применении решается в индивидуальном порядке. 2. Дети в возрасте от 10 до 14 лет. Уголовная ответственность по факту возможна,
но вопрос о ее применении решается в индивидуальном порядке. 3. Подростки в возрасте от 14 до 17 лет (при назначении наказаний к ним при-
равниваются молодые люди от 17 до 21 года). 3. ABSTRACT Подростки в возрасте от 14 до 17 лет (при назначении наказаний к ним при-
равниваются молодые люди от 17 до 21 года). Совершеннолетие наступает в Англии в 21 год, что дает гражданину полностью
сформироваться во взглядах и убеждениях. К гражданам моложе 21 года приме-
няются меры, по факту не являющиеся мерой пресечения. Такие, как: приказ
о надзоре социальными службами, приказ о попечительстве, приказ родителям
и опекунам несовершеннолетнего создать условия для обеспечения положитель-
ного поведения подростка и т. д. Гражданина, не достигшего 21 года, могут обязать оказывать предоставление
социальных услуг обществу, например, выполнять обязательные не оплачиваемые
общественные работы в течение времени, определенного судом (количество часов
зависит от возраста подсудимого). Несовершеннолетнего могут отправить в со-
циальный центр временного задержания и только в особых случаях — к не харак-
терному для несовершеннолетних преступников заключению под стражу и пожиз-
ненному ограничению свободы. Крайние меры по отношению к несовершеннолетним
назначаются только в тех случаях, когда, по решению социальных служб и государ-
ственных институтов, отсутствуют для данного нарушителя лояльные методы ис-
полнения наказания [3]. В порядке сопутствующих наказаний для несовершенно-
летних на территории Англии применяется лишение прав: на вождение транспорт-
ного средства, на занятие указанной судом деятельностью. По примеру стран, имеющих успешный опыт профилактики девиантного пове-
дения среди несовершеннолетних, правительству Российской Федерации стоит
пересмотреть систему, противостоящую общественно опасному поведению моло-
дежи. Очевидно, что уголовный возраст в России начинается достаточно рано,
в период становления подростка как личности, в момент оценки им общественно-
го и политического строя своей страны, важно не давить, а поддержать, посред-
ством грамотно выстроенной социальной политики государства. Консервативные
взгляды на предупреждение и профилактику девиантного поведения среди несо-
вершеннолетних вряд ли помогут его предотвратить и тем более эффективно бо-
роться с последствиями общественно опасных действий. Государственные органы должны более активно взаимодействовать с обще-
ственными организациями на всех уровнях реализации молодежной политики. Также необходимо выстроить доверительный диалог между социальными институ- 103 УПРАВЛЕНЧЕСКОЕ КОНСУЛЬТИРОВАНИЕ . № 1. 2021 тами, для того чтобы подрастающее поколение росло в безопасной среде и раз-
вивалось в комфортных условиях. тами, для того чтобы подрастающее поколение росло в безопасной среде и раз-
вивалось в комфортных условиях. ОБЩЕСТВО И РЕФОРМЫ В современных условиях должны принципиально меняться подходы к органи-
зации профилактической работы, с тем, чтобы от мер административно-право-
вого воздействия перейти к оказанию социально-педагогической помощи семье,
подростку, помощи, основанной на изучении личности несовершеннолетнего
правонарушителя, условий его семейного и общественного воспитания [5]. ABSTRACT Такая
работа может вестись успешно лишь в тесном взаимодействии всех социальных
институтов и требует глубоких специальных психолого-педагогических знаний. Системный анализ генезиса отклоняющегося поведения выявляет различные
неблагоприятные психобиологические, психолого-педагогические, социально-
психологические, психологические и социальные факторы, обусловливающие
отклонения в поведении детей и подростков, свидетельствует о необходимости
комплексного подхода к профилактике, включающего комплекс социально-ме-
дико-педагогических мер по оздоровлению условий воспитания и коррекции
отклоняющегося поведения несовершеннолетних. Об авторах: Цинченко Галина Михайловна, доцент кафедры социальных технологий Северо-Западного
института управления РАНХиГС (Санкт-Петербург, Российская Федерация), кандидат со-
циологических наук, доцент; tsinchenko-gm@ranepa.ru Орлова Инна Степановна, доцент кафедры социальных технологий Северо-Западного ин-
ститута управления РАНХиГС (Санкт-Петербург, Российская Федерация), кандидат педа-
гогических наук, доцент; oca-oca@mail.ru Литература 1. Ахъядов Э. С. Отечественный и зарубежный опыт профилактики безнадзорности и право-
нарушений несовершеннолетних // Молодой ученый. 2016. № 2. С. 658–662. 2. Жданова М. А. Исследование проблемы и практического опыта профилактики девиантно-
го поведения подростков и молодежи в современной Германии // Проблемы педагогиче-
ской инноватики в профессиональном образовании. Материалы XIX Международной на-
учно-практической конференции. СПб. : Российский гос. пед. университет им. А. И. Герцена,
2018. 490 с. С. 401–408. 3. Кушнир С. И. Опыт предупреждения преступного поведения подростков в США и Вели
кобритании : автореф. дис. … канд. пед. наук. Коломна, 2001. 4. Морозов Н. А. Основные классификации методов, используемых в Японии для предупреж-
дения и борьбы с девиантным поведением молодежи // Alma Mater. 2013. № 3. C. 93–98. 5. Цинченко Г. М., Орлова И. С. Наркопотребление несовершеннолетних как социальная
проблема // Здоровье — основа человеческого потенциала: проблемы и пути их решения. 2019. Т. 14, ч. 3. С. 1069–1077. (
)
4. Morozov N. A. Basic classifications of methods used in Japan to prevent and combat deviant
behavior of youth // Alma Mater. 2013. N 3. P. 93–98. (In rus). References 1. Akhyadov E. S. Domestic and foreign experience in the prevention of neglect and juvenile de-
linquency // Young scientist [Molodoi uchenyi]. 2016. N 2. P. 658–662. (In rus). 2. Zhdanova M. A. Study of the problem and practical experience of preventing deviant behavior
of adolescents and young people in modern Germany // Problems of pedagogical innovation in
vocational education. Materials of the XIX International Scientific and Practical Conference. St. Petersburg: Herzen Russian State Pedagogical University, 2018. 490 p. P. 401–408. (In rus). 3. Kushnir S. I. Experience in preventing criminal behavior of adolescents in the USA and Great
Britain: dissertation abstract. Kolomna, 2001. (In rus).i (
)
4. Morozov N. A. Basic classifications of methods used in Japan to prevent and combat deviant
behavior of youth // Alma Mater. 2013. N 3. P. 93–98. (In rus). 4. Morozov N. A. Basic classifications of methods used in Japan to prevent and combat deviant
behavior of youth // Alma Mater. 2013. N 3. P. 93–98. (In rus). 104 УПРАВЛЕНЧЕСКОЕ КОНСУЛЬТИРОВАНИЕ . № 1 . 2021 ОБЩЕСТВО И РЕФОРМЫ 5. Tsinchenko G. M., Orlova I. S. Drug abuse of minors as a social problem // Health is the basis
of human potential: problems and ways to solve them [Zdorov’e — osnova chelovecheskogo
potentsiala: problemy i puti ikh resheniya]. 2019. V. 14, Part 3. P. 1069–1077. (In rus). 5. Tsinchenko G. M., Orlova I. S. Drug abuse of minors as a social problem // Health is the basis
of human potential: problems and ways to solve them [Zdorov’e — osnova chelovecheskogo
potentsiala: problemy i puti ikh resheniya]. 2019. V. 14, Part 3. P. 1069–1077. (In rus). About the authors:tt
Galina M. Tsinchenko, Associate Professor the Chair of Social Technologies of North-West Institute
of Management of RANEPA (St. Petersburg, Russian Federation), PhD in Sociology, Associate
Professor; tsinchenko-gm@ranepa.ru About the authors:tt ЩЕСТВО И
About the authors:tt
Galina M. Tsinchenko, Associate Professor the Chair of Social Technologies of North-West Institute
of Management of RANEPA (St. Petersburg, Russian Federation), PhD in Sociology, Associate
Professor; tsinchenko-gm@ranepa.ru ОБЩ
Inna S. Orlova, Associate Professor the Chair of Social Technologies of North-West Institute of
Management of RANEPA (St. Petersburg, Russian Federation), PhD in Pedagogic, Associate
Professor; oca-oca@mail.ru УПРАВЛЕНЧЕСКОЕ КОНСУЛЬТИРОВАНИЕ . № 1. 2021 105
|
https://openalex.org/W2750519506
|
https://europepmc.org/articles/pmc5575668?pdf=render
|
English
| null |
Mapping of QTLs for Seed Phorbol Esters, a Toxic Chemical in Jatropha curcas (L.)
|
Genes
| 2,017
|
cc-by
| 7,507
|
Kitiya Amkul 1, Kularb Laosatit 1, Prakit Somta 1,*
ID , Sangrea Shim 2, Suk-Ha Lee 2,
Patcharin Tanya 1 and Peerasak Srinives 1 Patcharin Tanya
and Peerasak Srinives
1
Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University,
Nakhon Pathom 73140, Thailand; heartless_gg@hotmail.com (K.A.); pigirosa@hotmail.com (K.L.);
agrprt@ku.ac.th (P.T.); agrpss@ku.ac.th (P.S.)
2
Department of Plant Science and Research Institute of Agriculture and Life Sciences,
College of Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Korea;
kev8305@gmail.com (S.S.); sukhalee@snu.ac.kr (S.-H.L.)
*
Correspondence: agrpks@ku.ac.th; Tel.: +66-34-351887
Received: 5 July 2017; Accepted: 17 August 2017; Published: 18 August 2017 1
Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University,
Nakhon Pathom 73140, Thailand; heartless_gg@hotmail.com (K.A.); pigirosa@hotmail.com (K.L.);
agrprt@ku.ac.th (P.T.); agrpss@ku.ac.th (P.S.) 1
Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University,
Nakhon Pathom 73140, Thailand; heartless_gg@hotmail.com (K.A.); pigirosa@hotmail.com (K.L.);
agrprt@ku.ac.th (P.T.); agrpss@ku.ac.th (P.S.) g p
(
)
g p
(
)
2
Department of Plant Science and Research Institute of Agriculture and Life Sciences,
College of Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Korea;
kev8305@gmail.com (S.S.); sukhalee@snu.ac.kr (S.-H.L.)
*
Correspondence: agrpks@ku ac th; Tel : +66-34-351887 g p
g p
2
Department of Plant Science and Research Institute of Agriculture and Life Sciences,
College of Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Korea;
kev8305@gmail.com (S.S.); sukhalee@snu.ac.kr (S.-H.L.) 2
Department of Plant Science and Research Institute of Agriculture and Life Sciences,
College of Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Korea;
kev8305@gmail.com (S.S.); sukhalee@snu.ac.kr (S.-H.L.)
*
Correspondence: agrpks@ku.ac.th; Tel.: +66-34-351887 g
(
);
(
)
*
Correspondence: agrpks@ku.ac.th; Tel.: +66-34-351887 Received: 5 July 2017; Accepted: 17 August 2017; Published: 18 August 2017 Abstract: Jatropha (Jatropha curcas L.) is an oil-bearing plant that has potential to be cultivated as a
biodiesel crop. The seed cake after oil extraction has 40–50% protein that can be used in animal feeds. A major limitation in utilizing the cake is the presence of phorbol esters (PE), a heat-tolerant toxic
chemical. To identify the quantitative trait loci (QTLs) for PE, we constructed a genetic linkage map
from an F2 population of 95 individuals from a cross “Chai Nat” × “M10” using 143 simple sequence
repeat (SSR) markers. M10 is low in seed PE while Chai Nat is high. Seeds from each F2 individual
were quantified for PE content by high performance liquid chromatography. A single marker analysis
revealed five markers from linkage group 3 (LG3) and nine markers from LG8 associated with seed PE. Kitiya Amkul 1, Kularb Laosatit 1, Prakit Somta 1,*
ID , Sangrea Shim 2, Suk-Ha Lee 2,
Patcharin Tanya 1 and Peerasak Srinives 1 Inclusive composite interval mapping identified two QTLs, each on LG3 (qPE3.1) and LG8 (qPE8.1)
responsible for the PE. qPE3.1 and qPE8.1 accounted for 14.10%, and 15.49% of total variation in seed
PE, respectively. Alelle(s) from M10 at qPE3.1 increased seed PE, while at qPE8.1 decreased seed PE. qPE3.1 is a new loci for PE, while qPE8.1 is the same locus with that reported recently for PE. Keywords: phorbol esters; Jatropha; physic nut; quantitative trait loci; QTL; seed toxin genes
G C A T
T A C G
G C A T genes
G C A T
T A C G
G C A T genes Genes 2017, 8, 205; doi:10.3390/genes8080205 www.mdpi.com/journal/genes Mapping of QTLs for Seed Phorbol Esters, a Toxic
Chemical in Jatropha curcas (L.) Kitiya Amkul 1, Kularb Laosatit 1, Prakit Somta 1,*
ID , Sangrea Shim 2, Suk-Ha Lee 2,
Patcharin Tanya 1 and Peerasak Srinives 1 Kitiya Amkul 1, Kularb Laosatit 1, Prakit Somta 1,*
ID , Sangrea Shim 2, Suk-Ha Lee 2,
Patcharin Tanya 1 and Peerasak Srinives 1 Keywords: phorbol esters; Jatropha; physic nut; quantitative trait loci; QTL; seed toxin 1. Introduction Jatropha or physic nut (Jatropha curcas L.) (2n = 2x = 22) is an oil-bearing plant that has potential
to be cultivated as a non-edible oil crop for producing biodiesel. Although Jatropha seed has 30–44%
oil with high percentage of monounsaturated oleic and polyunsaturated linoleic acid [1,2] this crop
has not been fully domesticated due to several limitations including low seed yield, non-synchronous
maturity, and the presence of toxins in seeds. The presence of this chemical in seed cakes after oil
extraction from the seeds prevent the use of the cake which contain high protein (40–50%) as raw
material for animal feed industry [3]. The principal seed toxins in Jatropha are phorbol esters (PE)
and curcin [4,5]. PE, a tumor inducing substance, is tetracyclic tiglian diterpenoids. PE is found in
most Jatropha accessions (called toxic Jatropha). Six forms of PE have been isolated from Jatropha in
which all of them are likely to be derived from the same phorbol backbone [4,5]. Despite the interest
in PE, its biosynthesis pathway is still poorly understood. Nonetheless, geranylgeranyl diphosphate
(GGPP) synthase, casbene synthase, terpene synthases, terpene hydroxylase and acyltransferase are
believed to implicate in PE biosynthesis [6–10]. A single knockdown of genes for GGPP synthase,
terpene synthase and casbene synthases by RNA interference (RNAi) technique reduced up to 80%
of PE content in the leaves of Jatropha, while a double knockdown of two of these genes reduced PE
content in the leaves to less than 15% of control toxic Jatropha [10]. However, some accessions from www.mdpi.com/journal/genes Genes 2017, 8, 205 2 of 11 Mexico and Guatemala have no or low PE in seeds (non-toxic Jatropha) [11,12]. The low PE seeds are
consumed as snack or sweets. The high and low PE seeds can be distinguished only by seed analysis
with high performance liquid chromatography (HPLC). Mexico and Guatemala have no or low PE in seeds (non-toxic Jatropha) [11,12]. The low PE seeds are
consumed as snack or sweets. The high and low PE seeds can be distinguished only by seed analysis
with high performance liquid chromatography (HPLC). Breeding for non-toxic cultivar(s) is a major objective in Jatropha breeding programs, although
there are a few reports on genetics of seed PE in Jatropha [12,13]. 1. Introduction Plant breeders are looking for
an inexpensive and quick method to differentiate high and low PE seed Jatropha such as through
molecular markers, provided that the location(s) of gene(s) controlling seed PE content is known. Recently, King [12] reported that seed PE in Jatropha is controlled by a single dominant gene without
xenia effect. They also located a quantitative trait locus (QTL) controlling seed PE onto a genetic linkage
map. Although the QTL is closely to several simple sequence repeat (SSR) markers, such the QTL
should be validated before using for marker-assisted selection. Therefore, in this study, our objective
was to we identify and validate QTLs for PE for Jatropha using different source of non-toxic cultivar. 2.2. Quantification of Phorbol Esters Content in Seeds The mature seeds were used to analyze for PE content following the method described by Haas
and Mittelbach [14] with minor modifications. Briefly, kernels were grinded into fine powder. A sample
of four grams from each plant was extracted for PE by methanol (analytical grade) for five hours in a
soxhlet apparatus (Buchi Universal Extraction System B-811, Buchi, Flawil, Switzerland). The methanol
was then removed from the solvent using a rotary evaporator (Buchi Rotavapor R-205, Buchi, Flawil,
Switzerland) to obtain dried extract. The dried extract was dissolved in 25 mL methanol (HPLC
grade). The PE content was determined using an HPLC (Waters 600 HPLC system, Waters, Milford,
MA, USA) equipped with a reverse phase C-18 column and photodiode array detector. The column
temperature was maintained at 25 ◦C and the flow rate was kept at 1 mL min−1. The mobile phase
was acetonitrile and water in 80/20 ratio. The PE peaks appeared between 6 and 10 min were detected
and integrated at 280 nm. The phorbol 12-myristate 13-acetate (TPA) (Sigma Aldrich, St. Louis, MO,
USA) was used as an external standard, which appeared between 20 and 22 min (Figure 1C). The areas
under the PE peaks were summed and converted to standard PE equivalent by taking its peak area
and concentration. The quantification was conducted twice for each plant. The average value of seed
PE content of each plant was used for QTL analysis. 2.1. Plant Materials and DNA Extraction An F2 population of 95 individuals was developed by self-pollinating an F1 hybrid derived from a
cross between “Chai Nat” (hereafter called “CN”) and “M10” as male and female parents, respectively. Homozygosity in both CN and M10 is higher than 99.0%. M10 is a non-toxic cultivar originated from
Mexico possessing low seed PE, while CN is a toxic cultivar of Thailand possessing high PE. Previously,
the PE content of M10 and CN was reported to be 0.05 and 1.62 mg/g, respectively [13]. During
the self-pollination, flowers of the F1 hybrid were covered with pollen-proof bags to prevent pollen
contamination from other plants. The F2 population was grown in an experimental field of Kasetsart
University, Kamphaeng Saen Campus, Thailand during March 2014 to June 2015. The mature seeds
from each plant were individually harvested. Genomic DNA of each plant was extracted from young
leaves following a cetyltrimethylammonium bromide (CTAB) method described by Tanya et al. [13]. 2.4. Linkage Map Construction and QTL Analysis 2.4. Linkage Map Construction and QTL Analysis For each marker in the F2 population, plants showing homozygous DNA bands of CN and M10
parents were scored as “2” and “0”, respectively, while plants showing heterozygous DNA bands were
scored as “1”. All the markers were checked for segregation distortion using chi-squared test. A genetic
linkage map was constructed using software QTL IciMapping 4.0 (Chinese Academy of Agricultural
Sciences, Beijing, China) [17]. The markers were grouped using a minimum log of the odds (LOD) of 4. The markers were put in order by “RECORD” and “SARF” functions. Map distance was calculated
based on Kosambi’s mapping function. Linkage group was named following the linkage map reported
by King et al. [12] using common marker(s). SSR markers associated with seed PE content were determined by likelihood ratio test (LRT)
method implemented in the software QTL IciMapping 4.0 using significant LOD threshold of 2.5. Locations of the QTLs controlling seed PE were determined by inclusive composite interval mapping
(ICIM) [18] implemented in the QTL IciMapping 4.0. Significant LOD score for QTLs were obtained
from 3000 permutation test at p = 0.05. 2.5. Identification of Physical Locations of Markers Flanking QTLs and Genes Associated with QTL Primer sequences of the markers locating around QTL regions detected for PE were subjected
to BLASTN analysis (NCBI—National Center for Biotechnology Information, Bethesda, MD, USA)
against the Jatropha curcas Database (JCDB) (http://jcdb.xtbg.ac.cn) to identify the physical location
and explore potential candidate genes that may implicate in PE biosynthesis. 2.3. SSR Marker Analysis One thousand and eighty SSR markers from the reports of King et al. [12]; Laosatit et al. [8,14];
Tanya et al. [15] and Wang et al. [16] were used to screen for polymorphism between M10 and CN. Polymerase chain reaction (PCR), electrophoresis, and DNA bands visualization were carried out
following Laosatit et al. [14]. Polymorphic SSR markers were used to analyze DNA of the F2 plants. 3 of 11
3 of 12 Genes 2017, 8, 205 17, 8, 205
gure 1. High Pressure Liquid Chromatography (HPLC) chromatogram of phorbol esters
M10 (non-toxic Jatropha) (A) and Chai Nat (toxic Jatropha) (B) and of phorbol 12-myristate 1
TPA) (C). DHPB: 12-deoxy-16-hydroxyphorbol; PE: phorbol esters; CN: Chai Nat. ure 1. High Pressure Liquid Chromatography (HPLC) chromatogram of phorbol esters
(non-toxic Jatropha) (A) and Chai Nat (toxic Jatropha) (B) and of phorbol 12-myristate
A) (C). DHPB: 12-deoxy-16-hydroxyphorbol; PE: phorbol esters; CN: Chai Nat. Figure 1. High Pressure Liquid Chromatography (HPLC) chromatogram of phorbol esters in seed of
M10 (non-toxic Jatropha) (A) and Chai Nat (toxic Jatropha) (B) and of phorbol 12-myristate 13-acetate
(TPA) (C). DHPB: 12-deoxy-16-hydroxyphorbol; PE: phorbol esters; CN: Chai Nat. Figure 1. High Pressure Liquid Chromatography (HPLC) chromatogram of phorbol esters in seed of
M10 (non-toxic Jatropha) (A) and Chai Nat (toxic Jatropha) (B) and of phorbol 12-myristate 13-acetate
(TPA) (C). DHPB: 12-deoxy-16-hydroxyphorbol; PE: phorbol esters; CN: Chai Nat. 4 of 11 Genes 2017, 8, 205 3.1. Variation of Seed PE in Parents and F2 Population CN and M10 possessed a large difference in seed PE, with 2.62 and 0.05 mg/g, respectively, which
is about 52-fold difference in seed PE content. In addition, M10 and CN parents exhibited different
types/forms of PE. CN showed five forms (Figure 1A) while M10 showed two forms which were also
present in CN (Figure 1B). Seed PE of the F2 plants distributed continuously skewing toward M10
ranging from 0.30 to 2.89 mg/g with a mean of 1.33 mg/g (Figure 2). This suggests that the seed PE
content in Jatropha is a quantitative trait. Genes 2017, 8, 205
5 of 12 Figure 2. Frequency distribution of phorbol esters content in seeds (mg per gram) of the 95 F2 plants
derived from the cross Chai Nat × M10. PE was determined by HPLC method. Figure 2. Frequency distribution of phorbol esters content in seeds (mg per gram) of the 95 F2 plants
derived from the cross Chai Nat × M10. PE was determined by HPLC method. Figure 2. Frequency distribution of phorbol esters content in seeds (mg per gram) of the 95 F2 plants
derived from the cross Chai Nat × M10. PE was determined by HPLC method. Figure 2. Frequency distribution of phorbol esters content in seeds (mg per gram) of the 95 F2 plants
derived from the cross Chai Nat × M10. PE was determined by HPLC method. 3.2. SSR Polymorphism and Linkage Map
Out of 1080 SSR markers screened in
3.2. SSR Polymorphism and Linkage Map 3.2. SSR Polymorphism and Linkage Map
Out of 1080 SSR markers screened in
3.2. SSR Polymorphism and Linkage Map QTL mapping using inclusive
composite interval mapping (ICIM) method detected two QTLs, one each on LG3 and LG8, and they
were named as qPE3.1 and qPE8.1, respectively (Table 2 and Figure 4). qPE3.1 and qPE8.1 accounted
for 14.10% and 15.49% of the total PE variation in the F2 population, respectively. qPE3.1 showed
additive effect of −0.09 mg/g and dominant effect of −0.41 mg/g. This QTL showed overdominance
effect (d/a = 4.56) (Table 2). Interestingly, allele from M10 at this QTL increased PE content. qPE8.1
showed additive effect of 0.31 mg/g and dominant effect of −0.02 mg/g. Allele from M10 at this QTL
decreased the PE content. Altogether, qPE3.1 and qPE8.1 accounted 29.59% of the total PE variation
in the population. Figure 3. The genetic linkage map developed from 95 F2 plants derived from the cross Chai Nat × M10
using 143 simple sequence repeat (SSR) markers. Genetic distance was shown in centimorgan
unit. Linkage groups were named as per King et al. [6]. Markers showing significant deviation
from the expected segregation ratio at 0.05, 0.01, and 0.001 probability levels are marked with *, **,
and ***, respectively. 3.3. QTL Controlling Seed PE in Jatropha
QTL mapping using LRT method revealed that five markers on LG3 and nine on LG8 associated
with PE in the seeds. These markers accounted for 11.74% (CN_SSR199 on LG3) to 16.99% (NG286A
on LG8) of the variation of seed PE in the F2 population (Table 1). QTL mapping using inclusive
composite interval mapping (ICIM) method detected two QTLs, one each on LG3 and LG8, and they
were named as qPE3.1 and qPE8.1, respectively (Table 2 and Figure 4). qPE3.1 and qPE8.1 accounted
for 14.10% and 15.49% of the total PE variation in the F2 population, respectively. qPE3.1 showed
additive effect of −0.09 mg/g and dominant effect of −0.41 mg/g. This QTL showed overdominance
effect (d/a = 4.56) (Table 2). Interestingly, allele from M10 at this QTL increased PE content. qPE8.1
showed additive effect of 0.31 mg/g and dominant effect of −0.02 mg/g. Allele from M10 at this QTL Figure 3. The genetic linkage map developed from 95 F2 plants derived from the cross Chai Nat × M10
using 143 simple sequence repeat (SSR) markers. Genetic distance was shown in centimorgan unit. Figure 3. 3.2. SSR Polymorphism and Linkage Map
Out of 1080 SSR markers screened in
3.2. SSR Polymorphism and Linkage Map The genetic linkage map developed from 95 F2 plants derived from the cross Chai Nat × M10
i
143
i
l
t (SSR)
k
G
ti
di t
h
i
ti Figure 3. The genetic linkage map developed from 95 F2 plants derived from the cross Chai Nat × M10
using 143 simple sequence repeat (SSR) markers. Genetic distance was shown in centimorgan unit. Linkage groups were named as per King et al. [6]. Markers showing significant deviation from the
expected segregation ratio at 0.05, 0.01, and 0.001 probability levels are marked with *, **, and ***,
respectively. Figure 3. The genetic linkage map developed from 95 F2 plants derived from the cross Chai Nat × M10
using 143 simple sequence repeat (SSR) markers. Genetic distance was shown in centimorgan
unit. Linkage groups were named as per King et al. [6]. Markers showing significant deviation
from the expected segregation ratio at 0.05, 0.01, and 0.001 probability levels are marked with *, **,
and ***, respectively. Figure 3. The genetic linkage map developed from 95 F2 plants derived from the cross Chai Nat × M10
using 143 simple sequence repeat (SSR) markers. Genetic distance was shown in centimorgan unit. Linkage groups were named as per King et al. [6]. Markers showing significant deviation from the
expected segregation ratio at 0.05, 0.01, and 0.001 probability levels are marked with *, **, and ***,
respectively. Figure 3. The genetic linkage map developed from 95 F2 plants derived from the cross Chai Nat × M10
using 143 simple sequence repeat (SSR) markers. Genetic distance was shown in centimorgan
unit. Linkage groups were named as per King et al. [6]. Markers showing significant deviation
from the expected segregation ratio at 0.05, 0.01, and 0.001 probability levels are marked with *, **,
and ***, respectively. 3.2. SSR Polymorphism and Linkage Map
Out of 1080 SSR markers screened in
3.2. SSR Polymorphism and Linkage Map from DNA of the CN and/or M10 (Table S1). All except a few of the amplifiable markers showed
single DNA band in each parent. Out of 742 amplifiable markers, 143 markers (19.27%; 100 genic and 43
genomic SSRs) showed polymorphism. This indicated a low genetic difference between CN and M10. Out of 1080 SSR markers screened in CN and M10, only 742 markers were able to be amplified
from DNA of the CN and/or M10 (Table S1). All except a few of the amplifiable markers showed Genes 2017, 8, 205 5 of 11 single DNA band in each parent. Out of 742 amplifiable markers, 143 markers (19.27%; 100 genic
and 43 genomic SSRs) showed polymorphism. This indicated a low genetic difference between CN
and M10. All the 143 polymorphic markers were used to analyze the F2 population. Among these markers,
14 of them showed segregation distortion. The linkage map of the F2 population developed from the
143 polymorphic SSR markers comprised 11 linkage groups (LG) spanning a total length of 1322.6 cM
(Figure 3). The number of markers per LG ranged from 2 (LG7) to 27 (LG2 and LG3) with an average
of 14.3. LG7 and LG3 were the shortest and the longest linkages with the length of 12.7 and 312.6 cM,
respectively. The average distance between the adjacent markers was 9.3 cM. The distorted markers
were distributed onto 5 LGs (Figure 3). Clusters of 4 and 3 distorted markers were found on LG11 and
LG6, respectively. Genes 2017, 8, 205
6 of 12 Figure 3. The genetic linkage map developed from 95 F2 plants derived from the cross Chai Nat × M10
using 143 simple sequence repeat (SSR) markers. Genetic distance was shown in centimorgan unit. Linkage groups were named as per King et al. [6]. Markers showing significant deviation from the
expected segregation ratio at 0.05, 0.01, and 0.001 probability levels are marked with *, **, and ***,
respectively. 3.3. QTL Controlling Seed PE in Jatropha
QTL mapping using LRT method revealed that five markers on LG3 and nine on LG8 associated
with PE in the seeds. These markers accounted for 11.74% (CN_SSR199 on LG3) to 16.99% (NG286A
on LG8) of the variation of seed PE in the F2 population (Table 1). 3.3. QTL Controlling Seed PE in Jatropha
QTL mapping using LRT method r
3.3. QTL Controlling Seed PE in Jatropha Log of the odds (LOD) graph of the quantitative trait loci (QTL) qPE3.1 (A) and qPE8.1 (B)
controlling seed phorbol esters content detected in the F2 population of Chai Nat × M10 by inclusive
composite interval mapping. Figure 4. Log of the odds (LOD) graph of the quantitative trait loci (QTL) qPE3.1 (A) and qPE8.1 (B)
controlling seed phorbol esters content detected in the F2 population of Chai Nat × M10 by inclusive
composite interval mapping. Figure 4. Log of the odds (LOD) graph of the quantitative trait loci (QTL) qPE3.1 (A) and qPE8.1 (B)
controlling seed phorbol esters content detected in the F2 population of Chai Nat × M10 by inclusive
composite interval mapping. Figure 4. Log of the odds (LOD) graph of the quantitative trait loci (QTL) qPE3.1 (A) and qPE8.1 (B)
controlling seed phorbol esters content detected in the F2 population of Chai Nat × M10 by inclusive
composite interval mapping. Figure 4. Log of the odds (LOD) graph of the quantitative trait loci (QTL) qPE3.1 (A) and qPE8.1 (B)
controlling seed phorbol esters content detected in the F2 population of Chai Nat × M10 by inclusive
composite interval mapping. Figure 4. Log of the odds (LOD) graph of the quantitative trait loci (QTL) qPE3.1 (A) and qPE8.1 (B)
controlling seed phorbol esters content detected in the F2 population of Chai Nat × M10 by inclusive
composite interval mapping. Table 1. Simple sequence repeat (SSR) markers associated with seed phorbol esters content in F2
population of Chai Nat × M10 detected by likelihood ratio test method. Log of the odds (LOD) value
of 2.5 was used as a significant threshold. k
%
Table 1. Simple sequence repeat (SSR) markers associated with seed phorbol esters content in F2
population of Chai Nat × M10 detected by likelihood ratio test method. Log of the odds (LOD) value
of 2.5 was used as a significant threshold. Table 1. Simple sequence repeat (SSR) markers associated with seed phorbol esters content in F2
population of Chai Nat × M10 detected by likelihood ratio test method. Log of the odds (LOD) value
of 2.5 was used as a significant threshold. Table 1. Simple sequence repeat (SSR) markers associated with seed phorbol esters content in F2
population of Chai Nat × M10 detected by likelihood ratio test method. Log of the odds (LOD) value
of 2.5 was used as a significant threshold. 3.3. QTL Controlling Seed PE in Jatropha
QTL mapping using LRT method r
3.3. QTL Controlling Seed PE in Jatropha QTL mapping using LRT method revealed that five markers on LG3 and nine on LG8 associated
with PE in the seeds. These markers accounted for 11.74% (CN_SSR199 on LG3) to 16.99% (NG286A
on LG8) of the variation of seed PE in the F2 population (Table 1). QTL mapping using inclusive
composite interval mapping (ICIM) method detected two QTLs, one each on LG3 and LG8, and they
were named as qPE3.1 and qPE8.1, respectively (Table 2 and Figure 4). qPE3.1 and qPE8.1 accounted
for 14.10% and 15.49% of the total PE variation in the F2 population, respectively. qPE3.1 showed
additive effect of −0.09 mg/g and dominant effect of −0.41 mg/g. This QTL showed overdominance
effect (d/a = 4.56) (Table 2). Interestingly, allele from M10 at this QTL increased PE content. qPE8.1
showed additive effect of 0.31 mg/g and dominant effect of −0.02 mg/g. Allele from M10 at this QTL
decreased the PE content. Altogether, qPE3.1 and qPE8.1 accounted 29.59% of the total PE variation
in the population
QTL mapping using LRT method revealed that five markers on LG3 and nine on LG8 associated
with PE in the seeds. These markers accounted for 11.74% (CN_SSR199 on LG3) to 16.99% (NG286A
on LG8) of the variation of seed PE in the F2 population (Table 1). QTL mapping using inclusive
composite interval mapping (ICIM) method detected two QTLs, one each on LG3 and LG8, and they
were named as qPE3.1 and qPE8.1, respectively (Table 2 and Figure 4). qPE3.1 and qPE8.1 accounted
for 14.10% and 15.49% of the total PE variation in the F2 population, respectively. qPE3.1 showed
additive effect of −0.09 mg/g and dominant effect of −0.41 mg/g. This QTL showed overdominance
effect (d/a = 4.56) (Table 2). Interestingly, allele from M10 at this QTL increased PE content. qPE8.1
showed additive effect of 0.31 mg/g and dominant effect of −0.02 mg/g. Allele from M10 at this QTL Genes 2017, 8, 205 6 of 11 ed the PE content. Altogether, qPE3.1 and qPE8.1 accounted 29.59% of the total PE variation in
pulation. s 2017, 8, 205
7 of 12 decreased the PE content. Altogether, qPE3.1 and qPE8.1 accounted 29.59% of the total PE variation in
the population. Genes 2017, 8, 205
7 of 12 p p
Genes 2017, 8, 205
7 of 12
Figure 4. G273A
15.57
62.14
3.
a Linkage group; b Coefficient of determination.
a Linkage group; b Coefficient of determination. 3.3. QTL Controlling Seed PE in Jatropha
QTL mapping using LRT method r
3.3. QTL Controlling Seed PE in Jatropha QTL
Name
LG a
Marker Interval
Position
(cM) b
LOD
Score
Confidence
Interval (cM) c
PVE
(%) d
Additive
Effect e
Dominant
Effect
[d/a] f
qPE3.1
3
CN_SSR326–CN_SSR325
153
3.82
152.5–156.5
14.10
−0.09
−0.41
4.56
qPE8.1
8
NG288C–NG286A
50
4.06
48.5–51.5
15.49
0.31
0.02
0.06
a Linkage group; b Position on the linkage group; c 1-LOD support of the QTL; d Percentage of phenotypic variance
explained by the QTL; e Additive effect of alleles from Chai Nat 10; f Dominance-to-additive effects ratio. q
_
_
qPE8.1
8
NG288C–NG286A
50
4.06
48.5–51.5
15.49
0.31
0.02
0.06
a Linkage group; b Position on the linkage group; c 1-LOD support of the QTL; d Percentage of phenotypic variance
explained by the QTL; e Additive effect of alleles from Chai Nat 10; f Dominance-to-additive effects ratio. q
_
_
qPE8.1
8
NG288C–NG286A
50
4.06
48.5–51.5
15.49
0.31
0.02
0.06
a Linkage group; b Position on the linkage group; c 1-LOD support of the QTL; d Percentage of phenotypic variance
explained by the QTL; e Additive effect of alleles from Chai Nat 10; f Dominance-to-additive effects ratio. 3.4. Physical Location of the PE QTLs and Annotated Genes in the QTL Regions
3.4. Physical Location of the PE QTLs and Annotated Genes in the QTL Regions BLASTN analysis against the JCDB revealed that the markers CN_SSR326 and CN_SSR325
that flank the PE QTL qPE3.1 on LG3 were at the positions 1069652 and 1074572 of the sequence
NW012124225.1, respectively. There was only one annotated gene in this region, LOC105634082. LOC105634082 encodes an uncharacterized protein. The markers NG288C and G286A that flank
PE QTL qPE8.1 on LG8 were at the positions 242687 and 370487 of the sequence NW012130064.1,
respectively (Figure 5). There were 16 annotated genes between these two markers (Table 3). BLASTN analysis against the JCDB revealed that the markers CN_SSR326 and CN_SSR325 that
flank the PE QTL qPE3.1 on LG3 were at the positions 1069652 and 1074572 of the sequence
NW012124225.1, respectively. There was only one annotated gene in this region, LOC105634082. LOC105634082 encodes an uncharacterized protein. The markers NG288C and G286A that flank PE
QTL qPE8.1 on LG8 were at the positions 242687 and 370487 of the sequence NW012130064.1,
respectively (Figure 5). There were 16 annotated genes between these two markers (Table 3). Figure 5. 3.3. QTL Controlling Seed PE in Jatropha
QTL mapping using LRT method r
3.3. QTL Controlling Seed PE in Jatropha LG
Marker Name
R (%)
Position
LOD Score
3
CN_SSR199
11.74
145.32
2.58
3
CN_SSR327
12.25
150.18
2.70
3
CN_SSR326
15.88
152.84
3.57
3
CN_SSR330
11.67
165.73
2.56
3
CN_SSR336
12.88
198.11
2.84
8
NG291
14.20
47.11
3.16
8
NG288C
13.06
48.22
2.89
8
NG286A
16.99
50.41
3.84
8
MPN280
16.40
51.48
3.70
8
G262
13.55
54.15
3.00
8
G270B
15.69
55.21
3.52
8
G270D
15.64
57.34
3.51
8
G282B
13.94
59.47
3.10
8
G273A
15.57
62.14
3.49
a Linkage group; b Coefficient of determination. LG a
Marker Name
R2 (%) b
Position
LOD Score
3
CN_SSR199
11.74
145.32
2.58
3
CN_SSR327
12.25
150.18
2.70
3
CN_SSR326
15.88
152.84
3.57
3
CN_SSR330
11.67
165.73
2.56
3
CN_SSR336
12.88
198.11
2.84
8
NG291
14.20
47.11
3.16
8
NG288C
13.06
48.22
2.89
8
NG286A
16.99
50.41
3.84
8
MPN280
16.40
51.48
3.70
8
G262
13.55
54.15
3.00
8
G270B
15.69
55.21
3.52
8
G270D
15.64
57.34
3.51
8
G282B
13.94
59.47
3.10
8
G273A
15.57
62.14
3.49
a Linkage group; b Coefficient of determination. 7 of 11 7 of 11 Genes 2017, 8, 205 Table 2. Locations and genetic effects of quantitative trait loci (QTLs) detected for seed phorbol esters
content in the F2 population of Chai Nat × M10 by inclusive composite interval mapping. Table 2. Locations and genetic effects of quantitative trait loci (QTLs) detected for seed phorbol esters
content in the F2 population of Chai Nat × M10 by inclusive composite interval mapping. QTL
Name
LG a
Marker Interval
Position
(cM) b
LOD
Score
Confidence
Interval (cM) c
PVE
(%) d
Additive
Effect e
Dominant
Effect
[d/a] f
qPE3.1
3
CN_SSR326–CN_SSR325
153
3.82
152.5–156.5
14.10
−0.09
−0.41
4.56
qPE8.1
8
NG288C–NG286A
50
4.06
48.5–51.5
15.49
0.31
0.02
0.06
a Linkage group; b Position on the linkage group; c 1-LOD support of the QTL; d Percentage of phenotypic variance
explained by the QTL; e Additive effect of alleles from Chai Nat 10; f Dominance-to-additive effects ratio. 3.3. QTL Controlling Seed PE in Jatropha
QTL mapping using LRT method r
3.3. QTL Controlling Seed PE in Jatropha Comparative map illustrating the position of qPE8.1 for seed phorbol esters content in the
F2 population of Chai Nat × M10 identified in this study (right) and the location of locus controlling
seed phorbol esters in the F2 population of G33 × G43 reported by King et al. [12] (left). Lines connect
common markers between the two maps. Small solid bars along the maps indicate confidence
intervals of the locus detected for seed phorbol esters. The QTL for PE reported by King was initially
mapped between markers JCT3 and 1401433/12335072 by considering the PE as a quantitative trait. The PE locus was then fine mapped between markers NG285A and G273A by considering PE as a
qualitative trait. Three solid bars along the map of Chai Nat × M10 represent Jatropha reference
sequence from Jatropha curcas Database (JCDB). Figure 5. Comparative map illustrating the position of qPE8.1 for seed phorbol esters content in the
F2 population of Chai Nat × M10 identified in this study (right) and the location of locus controlling
seed phorbol esters in the F2 population of G33 × G43 reported by King et al. [12] (left). Lines connect
common markers between the two maps. Small solid bars along the maps indicate confidence intervals
of the locus detected for seed phorbol esters. The QTL for PE reported by King was initially mapped
between markers JCT3 and 1401433/12335072 by considering the PE as a quantitative trait. The PE
locus was then fine mapped between markers NG285A and G273A by considering PE as a qualitative
trait. Three solid bars along the map of Chai Nat × M10 represent Jatropha reference sequence from
Jatropha curcas Database (JCDB). Figure 5. Comparative map illustrating the position of qPE8.1 for seed phorbol esters content in the
F
o ulatio
of Chai Nat × M10 ide tified i
thi
tudy ( i ht) a d the lo atio
of lo u
o t olli
Figure 5. Comparative map illustrating the position of qPE8.1 for seed phorbol esters content in the Figure 5. Comparative map illustrating the position of qPE8.1 for seed phorbol esters content in the
F2 population of Chai Nat × M10 identified in this study (right) and the location of locus controlling
seed phorbol esters in the F2 population of G33 × G43 reported by King et al. [12] (left). Lines connect
common markers between the two maps. 3.3. QTL Controlling Seed PE in Jatropha
QTL mapping using LRT method r
3.3. QTL Controlling Seed PE in Jatropha Small solid bars along the maps indicate confidence
intervals of the locus detected for seed phorbol esters. The QTL for PE reported by King was initially
mapped between markers JCT3 and 1401433/12335072 by considering the PE as a quantitative trait. The PE locus was then fine mapped between markers NG285A and G273A by considering PE as a
qualitative trait. Three solid bars along the map of Chai Nat × M10 represent Jatropha reference
sequence from Jatropha curcas Database (JCDB). Figure 5. Comparative map illustrating the position of qPE8.1 for seed phorbol esters content in the
F2 population of Chai Nat × M10 identified in this study (right) and the location of locus controlling
seed phorbol esters in the F2 population of G33 × G43 reported by King et al. [12] (left). Lines connect
common markers between the two maps. Small solid bars along the maps indicate confidence intervals
of the locus detected for seed phorbol esters. The QTL for PE reported by King was initially mapped
between markers JCT3 and 1401433/12335072 by considering the PE as a quantitative trait. The PE
locus was then fine mapped between markers NG285A and G273A by considering PE as a qualitative
trait. Three solid bars along the map of Chai Nat × M10 represent Jatropha reference sequence from
Jatropha curcas Database (JCDB). 8 of 11 Genes 2017, 8, 205 Table 3. Annotated genes located between markers CN_SSR325 and CN_SSR326 flanking qPE3.1 and between markers NG288C and NG286A flanking QTL qPE8.1
that controls seed phorphol esters content detected in the Jatropha F2 population of Chai Nat × M10 by inclusive composite interval mapping. The data are from
Jatropha curcas Database (JCDB). 4. Discussion King et al. [12] reported that the presence of PE is a qualitative trait controlled by a single dominant
gene. They identified a single major QTL controlling the trait. On the contrary, we found in this study
that the presence of PE is a quantitative trait (Figure 1). Recently, Ng [10] reported that down regulate
single gene expression of GGPP synthase, terpene synthase and casbene synthases reduced up to 80%
of PE content in the leaves of Jatropha, while a double down regulate of two genes reduced PE content
in the leaves to 85%. This suggested that PE contents in Jatropha is a quantitative trait. Thus, our results
agreed with that report of Ng [10]. The contrasting findings between our study and that of King et
al. [12] may stem from the fact that the jatropha germplasm used by King et al. [12] was different
from that used in this study. The non-toxic Jatropha (G43) used by them contained no PE, while the
one (M10) used in this study contained very low PE. G43 was from Guatemala, while M10 was from
Mexico. In addition, the extraction methods used to determine PE in the two studies were different. It is also worth noting that non-toxic (M10) and the toxic (CN) Jatropha parents used in this study
exhibited different types/forms of PE (Figure 1A,B). Regardless the above argument on germplasm
and quantifying methods, the location of qPE8.1 controlling seed PE detected in our study was similar
to the QTL conferring seed PE reported by King et al. [12]. qPE8.1 was located between markers
NG288C and NG286A which is within the genomic region reported by them (Figure 5). This suggested
that the QTLs controlling seed PE for Jatropha identified in these two studies are the same locus. Thus, this QTL was validated and can be used for marker-assisted selection (MAS). qPE3.1 is a new QTL controlling seed PE content in Jatropha. In contrast to qPE8.1, the allele
contributed by CN at qPE3.1 reduced PE content (Table 2). In addition, qPE3.1 showed strong dominant
effect or overdominance effect (Table 2). This suggests that this QTL is possibly a cluster of linked loci
for PE that resulting in pseudo-overdominance effect. Nonetheless, qPE3.1 in combination with qPE8.1
will be useful for MAS to develop new Jatropha line(s) possessing low seed PE and for map-based
cloning of the gene(s) controlling PE. 3.3. QTL Controlling Seed PE in Jatropha
QTL mapping using LRT method r
3.3. QTL Controlling Seed PE in Jatropha qPE3.1
Name
Position
Annotation
GO Term
KEGG
LOC105634082
NW_012124225.1:1070722..1072343
Uncharacterized protein At4g22758
-
-
qPE8.1
Name
Position
Annotation
GO Term
KEGG
LOC105650633
NW_012130064.1:251091..252362
Peptidyl-prolylcis-trans isomerase CYP26-2, chloroplastic
GO:0003755
K03768
LOC105650634
NW_012130064.1:244937..251195
Uncharacterized LOC105650634
GO:0008270
K03768
LOC105650635
NW_012130064.1:253456..257226
Single-stranded DNA-binding protein, mitochondrial
GO:0003697
K03111
LOC105650637
NW_012130064.1:259463..262260
Uncharacterized LOC105650637
-
-
LOC105650638
NW_012130064.1:262323..266102
Uncharacterized LOC105650638
-
-
LOC105650639
NW_012130064.1:267598..271421
Zinc finger BED domain-containing protein DAYSLEEPER
GO:0003677, GO:0046983, GO:0003676
K03680
LOC105650640
NW_012130064.1:273262..278864
Translation initiation factor eIF-2B subunit delta
GO:0044237
K03680
LOC105650641
NW_012130064.1:288075..288870
Oleosin 1-like
GO:0016021, GO:0012511
-
LOC105650642
NW_012130064.1:291937..292732
Uncharacterized LOC105650642
-
K13111
LOC105650712
NW_012130064.1:279771..287264
Pseudogene
-
-
LOC105650643
NW_012130064.1:297597..314028
Suppressor of mec-8 and unc-52 protein homolog 1
GO:0005515
K13111
LOC105650713
NW_012130064.1:317012..317392
Inactive protein FON2 SPARE1-like
-
-
LOC105650644
NW_012130064.1:324023..347807
Transcription initiation factor TFIID subunit 2
GO:0008237, GO:0008270, GO:0005488
K03128
LOC105650714
NW_012130064.1:367045..368556
Transcription factor CYCLOIDEA
-
K08735
LOC105650645
NW_012130064.1:376579..386656
DNA mismatch repair protein MSH2
GO:0005524, GO:0030983, GO:0006298
K08735
LOC105650646
NW_012130064.1:392247..402394
Uncharacterized LOC105650646
GO:0005515, GO:0008270
-
GO Term: Gene Ontology Term; KEGG: Kyoto Encyclopedia of Genes and Genomes. GO Term: Gene Ontology Term; KEGG: Kyoto Encyclopedia of Genes and Genomes. Genes 2017, 8, 205 9 of 11 4. Discussion In this study, two QTLs were detected explaining a total of 29.59% of PE variation in the F2
Jatropha population. The low total variance explained by the QTLs suggested that the PE is highly
affected by environments. However, since the F2 population comprised only 95 plants, it is possible
that QTLs with small effects controlling PE (if any exist) were not detected. In addition, effect of
QTL detected under small population size is likely to be overestimated, while its position cannot be
located accurately [19]. Therefore, number and effects of the QTLs for PE found in this study must be
considered carefully before using in MAS and map-based cloning. Based on BLASTN analysis against the JCDB, there were 17 annotated genes between the flanking
markers of qPE3.1 and qPE.81 (Table 3). However, none of these genes encodes enzyme that possibly
involves in PE biosynthesis such as GGPP synthase, casbene synthase, terpene synthases, terpene
hydroxylase and acyltransferase [6–10]. Nevertheless, the marker flanking qPE3.1 and qPE.81 will be
useful for MAS and these genome regions can be used as target for fine mapping to identify gene
controlling PE content in Jatropha. Tanya et al. [15] studied diversity of jatropha using genic SSR markers and reported that markers
MPN006, MPN007, MPN008, MPN016 and MPN046 were able to classify toxic and non-toxic Jatropha
accessions. Nonetheless, in this study, none of these markers showed polymorphism between toxic
and non-toxic Jatropha parents used in this study. This result indicated that these markers cannot be
used for classifying high and low toxic Jatropha germplasm, at least between CN and M10. Supplementary Materials: The following are available online at www.mdpi.com/2073-4425/8/8/205/s1. Table S1: Sequences and polymorphism of 742 amplifiable primers to screen polymorphism between Jotropha
cultivars Chai Nat and M10. Acknowledgments: This work was supported by the project on Breeding to Accelerate Domestication of Novel
Jatropha for Fuel and Feeds (Grant No. P-11-00599) of the National Science and Technology Development
Agency, Ministry of Science and Technology, Thailand. Part of this work was also supported by a grant from the
Next-Generation BioGreen 21 Program (No. PJ011027) of the Rural Development Administration, Korea. 10 of 11 Genes 2017, 8, 205 Author Contributions: P. So., P. Sr., S.H.L. conceived and designed the experiments; K.A., K.L., S.S., P.T. performed
the experiments; K.A., K.L., P. So. analyzed the data; P. So., P. Sr. wrote the manuscript. All authors read and
approved the final manuscript. 4. Discussion Author Contributions: P. So., P. Sr., S.H.L. conceived and designed the experiments; K.A., K.L., S.S., P.T. performed
the experiments; K.A., K.L., P. So. analyzed the data; P. So., P. Sr. wrote the manuscript. All authors read and
approved the final manuscript. Conflicts of Interest: The authors declare no conflict of interest. Conflicts of Interest: The authors declare no conflict of interest. References 1. Gübitz, G.M.; Mittelbach, M.; Trabi, M. Exploitation of the tropical oil seed plant Jatropha curcas L. Bioresour. Technol. 1999, 67, 73–82. [CrossRef] 2. Openshaw, K. A review of Jatropha curcas: An oil plant of unfulfilled promise. Biomass Bioenergy 2000, 19,
1–15. [CrossRef] 3. Achten, W.M.J.; Nielsen, L.R.; Aerts, R.; Lengkeek, A.G.; Kjaer, E.D.; Trabucco, A.; Hansen, J.K.; Maes, W.H.;
Graudal, L.; Akinnifesi, F.K.; et al. Towards domestication of Jatropha curcas. Biofuels 2010, 1, 91–107. [CrossRef] 4. Haas, H.S.; Sterk, H.; Mittelbach, M. Novel 12-deoxy-16-hydroxy phorbol diesters isolated from the seed oil
of Jatropha curcas L. J. Nat. Prod. 2002, 65, 1434–1440. [CrossRef] [PubMed] 5. Devappa, R.K.; Makkar, H.P.; Becker, K. Jatropha toxicity—A review. J. Toxicol. Environ. Health B Crit. Rev. 2010, 13, 476–507. [CrossRef] [PubMed] 6. Gomes, K.A.; Almeida, T.C.; Gesteira, A.S.; Lôbo, I.P.; Guimarấes, A.C.R.; Miranda, A.B.; Sluys, M.A.;
Cruz, R.S.; Cascardo, J.C.M.; Carels, N. ESTs from seeds to assist the selective breeding of Jatropha curcas L. for oil and active compounds. Genom. Insights 2010, 3, 29–56. 7. Sato, S.; Hirakawa, H.; Isobe, S.; Fukai, E.; Watanabe, A.; Kato, M.; Kawashima, K.; Minami, C.; Muraki, A.;
Nakazaki, N.; et al. Sequence analysis of the genome of an oil-bearing tree, Jatropha curcas L. DNA Res. 2011,
18, 65–76. [CrossRef] [PubMed] 8. Laosatit, K.; Tanya, P.; Somta, P.; Ruang-Areerate, P.; Sonthirod, C.; Tangphatsornruang, S.; Juntawong, P.;
Srinives, P. De novo transcriptome analysis of apical meristem of Jatrophas spp. using 454 pyrosequencing
platform, and identification of SNP and EST-SSR markers. Plant Mol. Biol. Rep. 2016, 34, 786–793. [CrossRef]
9. King, A.J.; Brown, G.D.; Gilday, A.D.; Larson, T.R.; Graham, I.A. Production of bioactive diterpenoids in the
Euphorbiaceae depends on evolutionarily conserved gene clusters Plant Cell 2014 26 3286–3298 [CrossRef] 8. Laosatit, K.; Tanya, P.; Somta, P.; Ruang-Areerate, P.; Sonthirod, C.; Tangphatsornruang, S.; Juntawong, P.;
Srinives, P. De novo transcriptome analysis of apical meristem of Jatrophas spp. using 454 pyrosequencing
platform, and identification of SNP and EST-SSR markers. Plant Mol. Biol. Rep. 2016, 34, 786–793. [CrossRef] 9. King, A.J.; Brown, G.D.; Gilday, A.D.; Larson, T.R.; Graham, I.A. Production of bioactive diterpenoids in the
Euphorbiaceae depends on evolutionarily conserved gene clusters. Plant Cell 2014, 26, 3286–3298. [CrossRef]
[PubMed] 10. Ng, A. Genes Implicated in Phorbol Ester (PE) Biosynthesis and Interception through Downregulation of
Casbene Synthase Genes. Ph.D. Thesis, Nanyang Technological University, Singapore, 2014. 1. Becker, K.; Makkar, H.P.S. 18.
Li, H.; Ye, G.; Wang, J. A modified algorithm for the improvement of composite interval mapping. Genetics
2007, 175, 361–374. [CrossRef] [PubMed]
19.
Beavis, W.B. QTL analyses: Power, precision, and accuracy. In Molecular Dissection of Complex Traits; © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/). 2007, 175, 361 374. [CrossRef] [PubMed]
19.
Beavis, W.B. QTL analyses: Power, precision, and accuracy. In Molecular Dissection of Complex Traits;
Patterson, A.H., Ed.; CRC Press: Boca Raton, FL, USA, 1998. References Jatropha curcas: A potential source for tomorrow’s oil and biodiesel. Lipid Tec
2008, 20, 104–107. [CrossRef] 12. King, A.; Montes, L.R.; Clarke, J.G.; Affleck, J.; Li, Y.; Witsenboer, H.; Vossen, E.V.; Linde, P.V.; Tripathi, Y.;
Tavares, E.; et al. Linkage mapping in the oilseed crop Jatropha curcas L. reveals a locus controlling the
biosynthesis of PE which cause seed toxicity. Plant Biotechnol. J. 2013, 11, 986–996. [CrossRef] [PubMed] 13. Jongcherdchutrakul, A. Inheritance of Phorbol Esters Content in Jatropha Seeds (Jatropha curcas L.). Master’s
Thesis, Kasetsart University, Bangkok, Thailand, 2012. 14. Laosatit, K.; Saensuk, C.; Tanya, P.; Srinives, P. Development and characterization of EST-SSR markers from
Jatropha curcas EST database and their transferability across jatropha-related species/genus. Biologia 2013, 68,
41–47. [CrossRef] 15. Tanya, P.; Dachapak, S.; Tar, M.M.; Srinives, P. New microsatellite markers classifiying nontoxic and toxic
Jatropha curcas. J. Genet. 2011, 90, 76–78. 16. Wang, C.M.; Liu, P.; Yi, C.; Gu, K.; Sun, F.; Li, L.; Lo, L.C.; Liu, X.; Feng, F.; Lin, G.; et al. A first generation
microsatellite- and SNP based linkage map of Jatropha. PLoS ONE 2011, 6. [CrossRef] [PubMed] 17. Meng, L.; Li, H.; Zhang, L.; Wang, J. QTL IciMapping: Integrated software for genetic linkage map
construction and quantitative trait locus mapping in bi-parental populations. Crop J. 2015, 3, 265–279. [CrossRef] 11 of 11 Genes 2017, 8, 205 18. Li, H.; Ye, G.; Wang, J. A modified algorithm for the improvement of composite interval mapping. Genetics
2007, 175, 361–374. [CrossRef] [PubMed] © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
|
https://openalex.org/W2955386368
|
https://europepmc.org/articles/pmc6630999?pdf=render
|
English
| null |
The Influence of Different Cholecalciferol Supplementation Regimes on 25(OH) Cholecalciferol, Calcium and Parathyroid Hormone after Bariatric Surgery
|
Medicina
| 2,019
|
cc-by
| 3,325
|
Received: 17 March 2019; Accepted: 22 May 2019; Published: 6 June 2019 Abstract: Background and objectives: Vitamin D is an essential vitamin that plays a key role in
maintaining physiological calcium balance, and is also a pivotal element in the formation of bone
structure. Vitamin D deficiency is associated with a wide array of clinical symptoms. Vitamin and
mineral deficiencies are quite common prior to and after bariatric surgery, and therefore we have
evaluated the effects of two different cholecalciferol supplementation regimes on serum calcium,
25(OH) cholecalciferol, and parathyroid hormone (PTH). Materials and Methods: In this retrospective
matched cohort study, two different cholecalciferol supplementation regimes were compared. Group A
consisted of 50 patients who had 1000 mg calcium and 800 IU cholecalciferol. In Group B, 50 patients
had 1000 mg calcium and 800 IU cholecalciferol with an additional 1 mL liquid cholecalciferol
(50,000 IU) monthly. The primary outcome was the effects on blood serum levels of calcium, 25(OH)
cholecalciferol, and PTH. Results: In group A and group B, there were significant increases in 25(OH)
cholecalciferol, with a higher delta in favor of group B (for all three p < 0.001). A decrease was seen
in PTH (p < 0.001), and no differences were measured in calcium levels in both groups. Conclusion:
Our study suggests that an additional 1 mL cholecalciferol (50,000 IU) monthly can result in less
biochemically 25(OH) cholecalciferol deficient patients after bariatric surgery. No effects were seen on
the calcium balance. However, larger randomized clinical trials need to be done to assess the effects
on clinical outcomes like bone health and fracture risk. Keywords: vitamin D supplementation; cholecalciferol; parathyroid hormone; serum vitamin D;
bariatric surgery medicina medicina Article Hendrika J.M. Smelt 1,2, Sjaak Pouwels 3,*
and Johannes F. Smulders 2,4 Hendrika J.M. Smelt 1,2, Sjaak Pouwels 3,*
and Johannes F. Smulders 2,4 Hendrika J.M. Smelt 1,2, Sjaak Pouwels 3,*
and Johannes F. Smulders 2,4
1
Department of Nutrition, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands;
marieke.smelt@catharinaziekenhuis.nl
2
Obesity Center, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands;
frans.smulders@catharinaziekenhuis.nl
3
Department of Surgery, Haaglanden Medical Center, 2512 VA The Hague, The Netherlands
4
Department of Surgery, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands
*
Correspondence: Sjaakpwls@gmail.com Hendrika J.M. Smelt 1,2, Sjaak Pouwels 3,*
and Johannes F. Smulders 2,4
1
Department of Nutrition, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands;
marieke.smelt@catharinaziekenhuis.nl
2
Obesity Center, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands;
frans.smulders@catharinaziekenhuis.nl
3
Department of Surgery, Haaglanden Medical Center, 2512 VA The Hague, The Netherlands
4
Department of Surgery, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands
*
Correspondence: Sjaakpwls@gmail.com 2
Obesity Center, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands;
frans.smulders@catharinaziekenhuis.nl 3
Department of Surgery, Haaglanden Medical Center, 2512 VA The Hague, The Netherlands
4
Department of Surgery, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands
*
Correspondence: Sjaakpwls@gmail.com
1. Introduction In general, vitamin D is part of the complex physiology maintaining calcium balance and bone
structure, but also aids in the absorption of calcium from the intestine and reabsorption in the distal
renal tubules (in presence of parathyroid hormone (PTH)). Deficiencies in vitamin D can increase
the risk of osteoporosis and fractures, but also have effects on the immune system and muscle
strength [1]. A vitamin D deficiency is often accompanied by a reduced dietary calcium intake, but this
does not necessarily affect the serum calcium [1,2]. Physiologically, when there is a fluctuation in
calcium levels, PTH levels will also fluctuate. In case of a decreased blood calcium level, PTH will www.mdpi.com/journal/medicina www.mdpi.com/journal/medicina Medicina 2019, 55, 252; doi:10.3390/medicina55060252 Medicina 2019, 55, 252 2 of 6 increase [1,2]. Clinical symptoms of a hypocalcaemia can vary, but symptoms like leg cramping, tetany,
and neuromuscular hyper excitability are often reported [2]. increase [1,2]. Clinical symptoms of a hypocalcaemia can vary, but symptoms like leg cramping, tetany,
and neuromuscular hyper excitability are often reported [2]. Vitamin D deficiencies are common in bariatric surgical practice, and the reported prevalence
prior to surgery varies between 54% and 80% [3]. In patients with obesity, this is often a combination
of several problems: (1) Limited sun exposure, (2) decreased bioavailability of vitamin D due to
sequestration in the excess fatty tissue, and (3) inadequate dietary intake of vitamins and minerals [3]. A secondary hyperparathyroidism can also contribute negatively because it results in increased
25(OH)D hydroxylation, therefore decreasing vitamin D [2,3]. In addition to hyperparathyroidism,
several cases of osteomalacia have been described following bariatric surgery [4,5]. It needs to be taken
into account that these are rare phenomena. Currently, it is advised by several guidelines that blood levels of vitamin D of ≥75–80 nmol/L
are optimal, especially for patients before and after bariatric surgery [6,7]. However, if deficiencies
occur, there is no consensus on how we should supplement these patients to achieve normal vitamin D
levels. In our bariatric practice, we have used several supplementation regimes. One of them was
1000 mg oral calcium carbonate and 800 IU oral cholecalciferol daily from three weeks postoperatively. Unfortunately, too many patients remained deficient after this regimen, and therefore we added
additional cholecalciferol to our supplementation protocol. However, it is unclear whether this switch has effects on 25(OH) cholecalciferol, PTH, and calcium. 1. Introduction We aimed to evaluate the effects of these supplementation regimes on blood levels of calcium,
25(OH) cholecalciferol, and PTH. Therefore, we hypothesize that a supplementation regime of 800 IU
oral and additional cholecalciferol monthly and lifelong leads to higher 25(OH) cholecalciferol levels
and less deficiencies. 2.1. Patient Selection In this pilot study, we included 100 patients who have had bariatric surgery in the period of
June 2015 until January 2016. All patients underwent a sleeve gastrectomy or Roux-en-Y gastric
bypass either as a primary or a revisional procedure in the Obesity Center Catharina Hospital
Eindhoven, the Netherlands. Patients with kidney disease or gastrointestinal disorders suggestive for
malabsorption were excluded from this study. The included patients from group A (n = 50) were selected on the operation date in June 2015
and started with our standard supplementation regime of 1000 mg oral calcium carbonate and 800 IU
oral cholecalciferol. The included patients from group B (n = 50) were selected on the operation
date in January 2016 and used the previously mentioned supplementation regime and additional
50,000 IU liquid cholecalciferol monthly. Both groups were matched for age, gender, preoperative body
mass index (BMI), current BMI, and surgical procedure. Due to the retrospective nature of this study,
approval from the Institutional Review Board of the Catharina Hospital Eindhoven was not needed. 2.2. Blood Sampling and Definitions Baseline blood analysis of all patients was done three months preoperatively and six months
postoperatively. For this study, serum calcium, vitamin D, and PTH were assessed. Vitamin D
deficiency was defined as serum vitamin D < 75 nmol/L. Vitamin D (25-hydroxy vitamin D) was
determined in serum by an immunometric competition assay on Liason® using Diasorin® reagents. Reference values of calcium and PTH were 2.10–2.55 mmol/L and 1.6–6.9 pmol/L, respectively. 2.3. Correction of Deficiencies Preoperatively Preoperative deficiencies in all patients was treated with cholecalciferol. Dosage: 50,000 IU/week
for the first six weeks, and afterwards 50,000 IU monthly up to the bariatric procedure. Medicina 2019, 55, 252 3 of 6 2.4. Statistical Analysis Data were retrospectively collected, managed, and analyzed using SPSS version 22, for Windows
(SPSS Inc., IBM Corporation, Armonk, NY, USA). Quantitative data are denoted as mean ± standard
deviation (SD). Categorical variables were presented as frequencies with percentages. The χ-square
test was used to compare categorical variables among groups. Distribution of the data was verified
using the Shapiro–Wilks test. Depending on the distribution, the paired t-test was used for parametric
data and the Mann–Whitney U test for non-parametric data. To analyze differences in calcium,
25(OH) cholecalciferol, and PTH levels, the deltas were calculated (follow-up levels minus baseline
levels), and these values were compared between groups using the one-way analysis of variance
(ANOVA) test. Deltas were determined by the following calculation: Follow-up levels minus baseline
levels. A p-value ≤0.05 was considered statistically significant. Summative figures and tables were
used where necessary. 3. Results This work has been presented at the IFSO World Congress in Dubai and the meeting abstract was
published in Obesity Surgery [8]. Table 1 gives an overview of the baseline characteristics of the patients included in each group. None of the included patients had symptoms of hypocalcaemia. In case of a Roux-en-Y Gastric Bypass
(RYGB), a Roux limb of 150 cm was used. Table 1. Baseline characteristics of the included patients (n = 100) (mean ± standard deviation (SD)). Different Groups
Group A (n = 50)
Group B (n = 50)
p Value
Age (years)
43.8 ± 11.6
47.5 ± 9.7
p = 0.075
Gender (n)
- Male:female
9:41
10:40
p = 0.799
Preoperative body mass index (kg/m2)
42.6 ± 5.7
42.5 ± 5.2
p = 0.911
Current body mass index (kg/m2)
31.8 ± 4.6
31.7 ± 4.6
p = 0.879
Procedures (n)
p = 0.359
- SG
28
29
- RYGB
18
20
- Revision surgery
4
1
SG = Sleeve gastrectomy, RYGB = Roux-en-Y gastric bypass. Table 1. Baseline characteristics of the included patients (n = 100) (mean ± standard deviation (SD)). 3.1. 25(OH) Cholecalciferol 3.4. Sub-Analysis Between Sleeve Gastrectomy and Roux-En-Y Gastric Bypass In group A, no significance differences were found in 25(OH) cholecalciferol (p = 0.573), calcium
(p = 0.341), or PTH (p = 0.995) preoperatively. No significance differences were found in 25(OH)
cholecalciferol (p = 0.851), calcium (p = 0.080), or PTH (p = 0.482) between laparoscopic sleeve
gastrectomy (LSG) and RYGB patients six months postoperatively. In group B, no significance
differences were found in 25(OH) cholecalciferol (p = 0.970), calcium (p = 0.796), or PTH (p = 0.127)
preoperatively. No significance differences were found in 25(OH) cholecalciferol (p = 0.984), calcium
(p = 0.615), or PTH (p = 0.992) between LSG and RYGB patients six months postoperatively. 3.1. 25(OH) Cholecalciferol 3.1. 25(OH) Cholecalciferol Both groups showed increases in 25(OH) cholecalciferol levels in the follow-up (p < 0.001 for
groups A and B) (Table 2). Of all included patients, 91 patients had a 25(OH) cholecalciferol deficiency
(<75 nmol/L) preoperatively. In group A, 47 patients had a 25(OH) cholecalciferol deficiency at baseline,
and 35 had it in the follow-up. In group B, 44 patients had a 25(OH) cholecalciferol deficiency at
baseline, and 10 had it in the follow-up. 4 of 6 Medicina 2019, 55, 252 Table 2. An overview of the baseline and postoperative levels of 25(OH) cholecalciferol, parathyroid
hormone (PTH), and calcium levels per group (mean ± SD). Baseline Levels
Levels Six Months Postoperatively
p Value
Group A
- 25(OH) cholecalciferol
37.8 ± 20.6
66.7 ± 18.5
p < 0.001
- PTH
7.5 ± 3.1
6.5 ± 2.9
p = 0.032
- Calcium
2.37 ± 0.08
2.39 ± 0.08
p = 0.058
Group B
- vitamin D
47.0 ± 21.5
94.2 ± 25.7
p < 0.001
- PTH
6.8 ± 2.7
5.2 ± 1.6
p < 0.001
- Calcium
2.38 ± 0.11
2.38 ± 0.09
p = 0.930
3 2 C l i
d P
th
id H
L
l Baseline Levels
Levels Six Months Postoperatively
p Value 3.2. Calcium and Parathyroid Hormone Levels Calcium and Parathyroid Hormone Levels No differences were seen in serum calcium in group A (p = 0.058) and group B (p = 0.930). Decreases in PTH were seen in the follow-up in group A (p < 0.032) and group B (p < 0.001) (Table 2). No differences were seen in serum calcium in group A (p = 0.058) and group B (p = 0.930). Decreases in PTH were seen in the follow-up in group A (p < 0.032) and group B (p < 0.001) (Table 2). 3.3. Delta (∆) of 25(OH) cholecalciferol, PTH, and Calcium between Both Groups 3.3. Delta (∆) of 25(OH) cholecalciferol, PTH, and Calcium between Both Groups A significant difference in delta 25(OH) cholecalciferol (p < 0.01) was seen between group A
(28.9 ± 16.7) and group B (47.2 ± 24.3), in favour of group B. Delta PTH in group A was –1.0 ± –0.3,
and in group B it was –1.6 ± –1.1, but this difference was not significant (p = 0.336). No significant
difference was seen in ∆calcium (p = 0.185). 3.4. Sub-Analysis Between Sleeve Gastrectomy and Roux-En-Y Gastric Bypass 6. Conclusions According to this pilot study, a standard daily supplementation regime of 800 IU orally and
additional liquid cholecalciferol of 50,000 IU monthly results in higher serum 25(OH) cholecalciferol
and less deficiencies. This regimen cannot treat all vitamin D deficiencies, and therefore, lifelong
follow-up is necessary. A randomized clinical trial is necessary to investigate different vitamin D
supplementation regimens, the influence on PTH, and the influence of calcium supplementation after
bariatric surgery. Author Contributions: Conceptualization, H.J.M.S., S.P., and J.F.S.; data curation, H.J.M.S., S.P., and J.F.S.; formal
analysis, H.J.M.S., S.P., and J.F.S. Author Contributions: Conceptualization, H.J.M.S., S.P., and J.F.S.; data curation, H.J.M.S., S.P., and J.F.S. analysis, H.J.M.S., S.P., and J.F.S. Funding: This research received no external funding. Conflicts of Interest: The authors declare no conflict of interest. 5. Limitations Only biochemical outcomes were presented in this study. The clinical outcomes were not
mentioned. A larger and better-designed study including DEXA scans is necessary to understanding
the effects on calcium metabolism and bone density. The effect of calcium supplementation was not included in this study. However, there is no clear
policy for calcium supplementation and no large randomized trials that confirm the optimal regime
after bariatric surgery [9]. Finally, there is a known seasonal variability regarding (metabolites of)
vitamin D, and it is therefore difficult to correct for this statistically. Furthermore, to determine clinical
outcomes (osteoporosis risk and fracture incidence), a minimum follow-up of a few years is needed. 4. Discussion A standard supplementation regime of 800 IU oral cholecalciferol and 50,000 IU liquid
cholecalciferol monthly leads to less deficiencies and results in a faster decline of PTH. There is
no consensus about the right dose of vitamin D supplementation after bariatric surgery [9,10]. The recommended dosage of elemental calcium ranges from 1200 to 2000 mg daily [2,11,12]. Supplementation with 400–800 IU of vitamin D might not provide adequate protection for postoperative
patients against an increase in PTH and bone resorption [13,14]. In the study of Flores et al., 56% of
the bariatric patients had vitamin D levels of >75 nmol/L one year postoperatively by using 2000 IU
vitamin D /day [15]. The study of Goldner et al. describes vitamin D levels of >75nmol/L in 44% of the
patients with 800 IU vitamin D/day and in 78% of the patients with 2000 IU vitamin D/day [16,17]. p
y
p
y
In our study, the cholecalciferol supplementation regimen with 800 IU cholecalciferol was simply
not enough to biochemically restore 25(OH) cholecalciferol levels in 35 of the 50 patients. The standard
supplementation regimen with additional 50,000 IU cholecalciferol monthly showed that 10 of the
50 patients were still having a deficiency. A higher cholecalciferol dosage gives a faster decline of PTH
and may result in differences in absorption. The high-dose cholecalciferol regime gives better results (in
terms of a more prominent decrease in patients with a cholecalciferol deficiency). However, there are
still a small proportion of patients that remain deficient, despite the high doses of cholecalciferol. Medicina 2019, 55, 252 5 of 6 This might be related to compliance of intake of the supplements. This is the most difficult point in this
study because this is unfortunately difficult to control. Next to the above-mentioned factors, we need to take procedure-specific influences into account,
because bariatric procedures are not all the same regarding absorption of vitamins and minerals,
especially calcium and vitamin D [7,9]. Calcium is mainly absorbed in the duodenum and proximal
jejunum, which is facilitated by the presence of vitamin D in an acidic environment [9]. Vitamin D,
on the other hand, is absorbed in the distal jejunum and the ileum. As mal- or hypo-absorptive effects
increase, so does the hypo-absorption of vitamins in specific parts of the small intestine [2]. 4. Discussion yp
p
p
p
However, in this study, no significant differences in 25(OH) cholecalciferol, calcium, and PTH
were found between the different surgical procedures. .
Recker, R.R. Calcium absorption and achlorhydria. N. Engl. J. Med. 1985, 313, 70–73. [CrossRef] [PubM References 1. Gumieiro, D.N.; Murino Rafacho, B.P.; Buzati Pereira, B.L.; Cavallari, K.A.; Tanni, S.E.; Azevedo, P.S.;
Polegato, B.F.; Mamede Zornoff, L.A.; Dinhane, D.I.; Innocenti Dinhane, K.G.; et al. Vitamin D serum levels
are associated with handgrip strenght but not with muscle mass or length of hospital stay after hip fracture. Nutrition 2015, 31, 931–934. [CrossRef] [PubMed] 2. Aills, L.; Blankenship, J.; Buffington, C.; Furtado, M.; Parrott, J. ASMBS allied health nutritional guidelines
for the surgical weight loss patient. Surg. Obes. Relat. Dis. 2008, 4, S73–S108. [CrossRef] [PubMed] 3. Aarts, E.; Van Groningen, L.; Horst, R.; Telting, D.; Van Sorge, A.; Janssen, I.; De Boer, H. Vitamin D absorption
Consequences of gastric bypass surgery. Eur. J. Endocrinol. 2011, 164, 827–832. [CrossRef] [PubMed] 4. Chakhtoura, M.T.; Nakhoul, N.N.; Shawwa, K.; Mantzoros, C.; El Hajj Fuleihan, G.A. Hypovitaminosis D in
bariatric surgery: A systematic review of observational studies. Metabolism 2016, 65, 574–585. [CrossRef]
[PubMed] 5. Chakhtoura, M.T.; Nakhoul, N.; Akl, E.A.; Mantzoros Ghada, A.; El Hajj Fuleihan, G.A. Guidelines on
vitamin D replacement in bariatric surgery: Identification and systematic appraisal. Metabolism 2016, 65,
586–597. [CrossRef] [PubMed] Medicina 2019, 55, 252 6 of 6 7. Kenny, A.M.; Prestwood, K.M.; Biskup, B.; Robbins, B.; Zayas, E.; Kleppinger, A.; Burleson, J.A.; Raisz, L.G. Comparison of the effects of calcium loading with calcium citrate or calcium carbonate on bone turnover in
postmenopausal women. Osteoporos. Int. 2004, 15, 290–294. [CrossRef] [PubMed] 8. IFSO 2018 23rd World Congress. Obes. Surg. 2018, 28, 131–1271. [CrossRef] [PubMed] 9. Smelt, H.J.; Pouwels, S.; Smulders, J.F. The clinical dilemma of calcium supplementation after bariatric
surgery: Calcium citrate or calcium carbonate that is the question? Obes. Surg. 2016, 26, 2781–2782. [CrossRef] [PubMed] 10. Cole, A.J.; Beckman, L.M.; Earthman, C.P. Vitamin D status following bariatric surgery: Implications and
recommendations. Nutr. Clin. Pract. 2014, 29, 751–758. [CrossRef] [PubMed] 11. Heber, D.; Greenway, F.L.; Kaplan, L.M.; Livingston, E.; Salvador, J.; Still, C.; Endocrine Society. Endocrine
and nutritional management of the post-bariatric surgery patient: An endocrine society clinical practice
guideline. J. Clin. Endocrinol. Metab. 2010, 95, 4823–4843. [CrossRef] [PubMed] 12. Mechanick, J.I.; Youdim, A.; Jones, D.B.; Garvey, W.T.; Hurley, D.L.; McMahon, M.; Heinberg, L.J.; Kushner, R.;
Adams, T.D.; Shikora, S.; et al. Clinical practice guidelines for the perioperative nutritional, metabolic,
and nonsurgical support of the bariatric surgery patient—2013 update: Cosponsored by American Association
of Clinical Endocrinologists, the Obesity Society, and American Society for Metabolic & Bariatric Surgery. References Obesity 2013, 21, S1–27. [PubMed] 13. Coates, P.S.; Fernstrom, J.D.; Fernstrom, M.H.; Schauer, P.R.; Greenspan, S.L. Gastric bypass surgery for
morbid obesity leads to an increase in bone turnover and a decrease in bone mass. J. Clin. Endocrinol. Metab. 2004, 89, 1061–1065. [CrossRef] [PubMed] 14. Riedt, C.S.; Brolin, R.E.; Sherrell, R.M.; Field, M.P.; Shapses, S.A. True fractional calcium absorption is
decreased after Roux-en-Y gastric bypass surgery. Obesity 2006, 14, 1940–1948. [CrossRef] [PubMed] 15. Flores, L.; Moize, V.; Ortega, E.; Rodriguez, L.; Andreu, A.; Filella, X.; Vidal, J. Prospective study of
individualized or high fixed doses of vitamin D supplementation after bariatric surgery. Obes. Surg. 2015, 25,
470–476. [CrossRef] 16. Goldner, W.S.; Stoner, J.A.; Lyden, E.; Thompson, J.; Taylor, K.; Larson, L.; Erickson, J.; McBride, C. Finding
the optimal dose of vitamin D following Roux-en-Y gastric bypass: A prospective, randomized pilot clinical
trial. Obes. Surg. 2009, 19, 173–179. [CrossRef] [PubMed] g
17. Goldner, W.S.; Stoner, J.A.; Thompson, J.; Taylor, K.; Larson, L.; Erickson, J.; McBride, C. Prevalence of
vitamin D insufficiency and deficiency in morbidly obese patients: A comparison with non-obese controls. Obes. Surg. 2008, 18, 145–150. [CrossRef] [PubMed] © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
|
https://openalex.org/W2911568990
|
https://zenodo.org/records/3577698/files/141%20Design%20and%20Development%20of%20Automated%20Irrigation%20System.pdf
|
English
| null |
Design and Development of Automated Irrigation System
|
International journal of trend in scientific research and development
| 2,018
|
cc-by
| 6,182
|
ABSTRACT This type
of technology is more efficient use of water for Key
Words:
Automation,
Overhead
structure,
Microcontroller, Water spraying machine, Soil
moisture sensor
Automation,
Overhead
structure,
ing machine, Soil vailable Online @ www.ijtsrd.com
r, Water spraying machine, Soil
r
CTION
creasing demand of food requires the
hly specialized greenhouse vegetable
ment in food production technology. In
nd it is a simple, precise method for
ndia, where the economy is mainly
ation. The irrigation system provide
amount of water to crop. This
ation system allows it to be scaled up
nhouses or open fields. An automated
m was developed to optimize water use
www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018
ing machine, Soil
creasing demand of food requires the
hly specialized greenhouse vegetable
ment in food production technology. In
nd it is a simple, precise method for
ndia, where the economy is mainly
The irrigation system provide
amount of water to crop. This
ation system allows it to be scaled up
nhouses or open fields. An automated
m was developed to optimize water use
gy
irrigation in agriculture. Fig :- (1) Automated Irrigation System
Dec 2018
Page: 1052
gy
(1) Automated Irrigation System l
lume – 3 | Issue – 1 | Nov-Dec 2018
l
r
irrigation in agriculture. Fig :- (1) Automated Irrigation System
Dec 2018
Page: 1052
(1) Automated Irrigation System g
g ABSTRACT In India, agriculture plays an important role for
development in food production. In our country,
agriculture are depends on the monsoons which is not
sufficient source of water. So the irrigation is used in
agriculture field. The greenhouse based modern
agriculture industries are the recent requirement in
every part of agriculture in India. In this technology,
The overhead structure is created for the movement of
water spraying machine. This machine unit which is
programmed by the microcontroller will spray the
water from start to end plant in the rows. This system
provides the equal amount of water to every plant in
the greenhouse unit. One of the objectives of this
work is to see how human control could be removed
from irrigation and also to optimize the use of water
in the process. In greenhouse effect it is very difficult
to provide adequate amount of water by manual
watering process Hence, Automated irrigation system
plays an important role. It also helps in time s
removal of human agriculture and the climatic
conditions. The most important factor of this system is
microcontroller is used to control the movement of
water spraying machine. In India, agriculture plays an important role for
development in food production. In our country,
agriculture are depends on the monsoons which is not
sufficient source of water. So the irrigation is used in
re field. The greenhouse based modern
agriculture industries are the recent requirement in
every part of agriculture in India. In this technology,
The overhead structure is created for the movement of
water spraying machine. This machine unit which is
microcontroller will spray the
water from start to end plant in the rows. This system
amount of water to every plant in
the greenhouse unit. One of the objectives of this
work is to see how human control could be removed
om irrigation and also to optimize the use of water
in the process. In greenhouse effect it is very difficult
adequate amount of water by manual
process Hence, Automated irrigation system
It also helps in time saving,
removal of human agriculture and the climatic
conditions. The most important factor of this system is
microcontroller is used to control the movement of for agricultural crops. Agriculture is the main source
for food production. Using science and technology we
need to implement a method by which there can be
limited consumption of water source is needed. International Journal of Trend in
International Open Access
ISSN No: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD)
International Open Access Journal | www.ijtsrd.com
ISSN No: 2456 - 6470 | Volume - 3 | Issue – 1 | Nov
Research and Development (IJTSRD)
www.ijtsrd.com
1 | Nov – Dec 2018 International Journal of Trend in
International Open Access
ISSN No: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD)
International Open Access Journal | www.ijtsrd.com
ISSN No: 2456 - 6470 | Volume - 3 | Issue – 1 | Nov
Research and Development (IJTSRD)
www.ijtsrd.com
1 | Nov – Dec 2018 Design and Development
Arjunsing T. Rathod
1M.E. CAD/CAM, Scholar
Prof. Ram Meghe Institute
Development of Automated Irrigation
Arjunsing T. Rathod1, Dr. A. U. Awate2
M.E. CAD/CAM, Scholar, 2Professor, Department of Mechanical Engineering
Prof. Ram Meghe Institute of Technology and Research, Badnera, Maharashtra, India
Irrigation System
Professor, Department of Mechanical Engineering
Badnera, Maharashtra, India ABSTRACT The
green house based modern agriculture industries are
the recent requirement in every part of agriculture in
India. In
this
technology,
the
humidity
and
temperature of plants are precisely controlled. In
greenhouse effect plants are planted very nearer to
each other so it is very difficult to give adequate
amount of water to all plants. Manual watering
process is not so easy for every plant in the
greenhouse effect, so the different types of irrigation
systems are developed like Surface irrigation, Drip
irrigation, Sprinkler irrigation, Centre pivot irrigation,
Lateral move irrigation, Sub
irrigation. In this project overhead structure is
provided for the plant watering process. One water
spraying device is located on the overhead struct
which will operate by the use of microcontroller. The
water spraying element is programmed in such a way
that it will follow the instruction given by the
microcontroller. It will spray the adequate amount of
water to each plant in the greenhouse effect
of technology is more efficient use of water for
irrigation in agriculture. for agricultural crops. Agriculture is the main source
for food production. Using science and technology we
need to implement a method by which there can be
limited consumption of water source is needed. The
green house based modern agriculture industries are
the recent requirement in every part of agriculture in
India. In
this
technology,
the
humidity
and
temperature of plants are precisely controlled. In
greenhouse effect plants are planted very nearer to
ach other so it is very difficult to give adequate
amount of water to all plants. Manual watering
process is not so easy for every plant in the
greenhouse effect, so the different types of irrigation
systems are developed like Surface irrigation, Drip
gation, Sprinkler irrigation, Centre pivot irrigation,
Lateral move irrigation, Sub-irrigation and manual
irrigation. In this project overhead structure is
provided for the plant watering process. One water
spraying device is located on the overhead structure
which will operate by the use of microcontroller. The
water spraying element is programmed in such a way
that it will follow the instruction given by the
microcontroller. It will spray the adequate amount of
water to each plant in the greenhouse effect. 2. SOIL MOISTURE SENSOR Soil moisture content
e determined via its effect on dielectric constant
measuring the capacitance between two electrodes
Microcontroller based automated irrigation
em consists of moisture sensor, microcontroller,
motors, overhead moving system
The moisture sensor is buried in the field at
uired depth. If the moisture content in the field gets
uced to lower threshold limit, the signal is
duced from the microcontroller to turn ON relay. d overhead moving system to reach
r to each plant and spray water over it from the
rce is supplied to the field. Moisture level sensed
m the sensor will be displayed in the LCD display. er reaching upper threshold limit, the sensor gives
ponding signal to the microcontroller and the
Fig :- (3) Block Diagram of Microcontroller Based
Automated Irrigation System
Fig :- (3) Electronic Circuit
This circuit includes Relay, Micro chip, LED display
screen, Transformers, Soil moisture sensor circuit,
Water spraying circuit
1. Relay:
This
unit
takes
signal
from
the
microcontroller and provides output signal to the
water spraying motor. 2. Microcontroller: This unit provides movement of
the overhead system forward and backward
motion is done by the signal of microcontroller. (3) Block Diagram of Microcontroller Based
Automated Irrigation System
(3) Electronic Circuit
This circuit includes Relay, Micro chip, LED display
screen, Transformers, Soil moisture sensor circuit,
Relay:
This
unit
takes
signal
from
the
microcontroller and provides output signal to the
This unit provides movement of
the overhead system forward and backward
motion is done by the signal of microcontroller. Fig :- (3) Block Diagram of Microcontroller Based
Automated Irrigation System
Fig :- (3) Electronic Circuit
This circuit includes Relay, Micro chip, LED display
screen, Transformers, Soil moisture sensor circuit,
Water spraying circuit
1. Relay:
This
unit
takes
signal
from
the
microcontroller and provides output signal to the
water spraying motor. 2. Microcontroller: This unit provides movement of
the overhead system forward and backward
(3) Block Diagram of Microcontroller Based
Automated Irrigation System
(3) Electronic Circuit
This circuit includes Relay, Micro chip, LED display
screen, Transformers, Soil moisture sensor circuit,
Relay:
This
unit
takes
signal
from
the
microcontroller and provides output signal to the
This unit provides movement of
the overhead system forward and backward Fig :- (2) Soil Moisture Sensor
Soil Moisture Sensor Fig :- (2) Soil Moisture Sensor
Soil Moisture Sensor Soil moisture sensors measure the water content in
soil. 1. INTRODUCTION Continuous increasing demand of food requires the
control in highly specialized greenhouse vegetable
rapid improvement in food production technology. In
a production and it is a simple, precise method for
country like India, where the economy is mainly
based on irrigation. The irrigation system provide
only required amount of water to crop. This
automated irrigation system allows it to be scaled up
for larger greenhouses or open fields. An automated
irrigation system was developed to optimize water use
Continuous increasing demand of food requires the
control in highly specialized greenhouse vegetable
rapid improvement in food production technology. In
a production and it is a simple, precise method for
country like India, where the economy is mainly
The irrigation system provide
only required amount of water to crop. This
automated irrigation system allows it to be scaled up
for larger greenhouses or open fields. An automated
ion system was developed to optimize water use Fig :- (1) Automated Irrigation System
(1) Automated Irrigation System Fig :- (1) Automated Irrigation System
(1) Automated Irrigation System @ IJTSRD | Available Online @ www.ijtsrd.com
www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018
Dec 2018
Page: 1052 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 search and Development (IJTSRD) ISSN: 2456
search and Development (IJTSRD) ISSN: 2456
search and Development (IJTSRD) ISSN: 2456-6470 BLOCK DIAGRAM BLOCK DIAGRAM 2. SOIL MOISTURE SENSOR A soil moisture probe is made up of multiple soil
moisture sensors. One common type of soil moisture
sensors in commercial use is a Frequency domain
sensor such as a capacitance sensor. Another sensor,
the neutron moisture gauge, utilize the moderator
properties of water for neutrons. Soil moisture content
may be determined via its effect on dielectric constant
by measuring the capacitance between two electrodes
implanted in the soil. Soil moisture sensors measure the water content in
soil. A soil moisture probe is made up of multiple soil
e sensors. One common type of soil moisture
sensors in commercial use is a Frequency domain
sensor such as a capacitance sensor. Another sensor,
the neutron moisture gauge, utilize the moderator
properties of water for neutrons. Soil moisture content
e determined via its effect on dielectric constant
by measuring the capacitance between two electrodes Fig :- (3) Block Diagram of Microcontroller Based
Automated Irrigation System
(3) Block Diagram of Microcontroller Based
Automated Irrigation System Fig :- (3) Block Diagram of Microcontroller Based
Automated Irrigation System
(3) Block Diagram of Microcontroller Based
Automated Irrigation System Fig :- (3) Electronic Circuit
(3) Electronic Circuit 3. METHODOLOGY The Microcontroller based automated irrigation
system consists of moisture sensor, microcontroller,
Relay driver, DC motors, overhead moving system
etc. The moisture sensor is buried in the field at
required depth. If the moisture content in the field gets
reduced to lower threshold limit, the signal is
produced from the microcontroller to turn ON relay. The relay allowed overhead moving system to reach
over to each plant and spray water over it from the
source is supplied to the field. Moisture level sensed
from the sensor will be displayed in the LCD display. After reaching upper threshold limit, the sensor gives
corresponding signal to the microcontroller and the
relay is turned OFF. The Microcontroller based automated irrigation
system consists of moisture sensor, microcontroller,
motors, overhead moving system
etc. The moisture sensor is buried in the field at
required depth. If the moisture content in the field gets
reduced to lower threshold limit, the signal is
produced from the microcontroller to turn ON relay. d overhead moving system to reach
over to each plant and spray water over it from the
source is supplied to the field. Moisture level sensed
from the sensor will be displayed in the LCD display. After reaching upper threshold limit, the sensor gives
ponding signal to the microcontroller and the Fig :- (3) Electronic Circuit
(3) Electronic Circuit Fig :- (3) Electronic Circuit
(3) Electronic Circuit g
This circuit includes Relay, Micro chip, LED display
screen, Transformers, Soil moisture sensor circuit,
Water spraying circuit
This circuit includes Relay, Micro chip, LED display
screen, Transformers, Soil moisture sensor circuit, g
This circuit includes Relay, Micro chip, LED display
screen, Transformers, Soil moisture sensor circuit,
Water spraying circuit
This circuit includes Relay, Micro chip, LED display
screen, Transformers, Soil moisture sensor circuit, g
This circuit includes Relay, Micro chip, LED display
screen, Transformers, Soil moisture sensor circuit,
Water spraying circuit
This circuit includes Relay, Micro chip, LED display
screen, Transformers, Soil moisture sensor circuit, 1. Relay:
This
unit
takes
signal
from
the
microcontroller and provides output signal to the
water spraying motor. Relay:
This
unit
takes
signal
from
the
microcontroller and provides output signal to the 2. Microcontroller: This unit provides movement of
the overhead system forward and backward
motion is done by the signal of microcontroller. This unit provides movement of
the overhead system forward and backward
motion is done by the signal of microcontroller. 2. SOIL MOISTURE SENSOR Soil moisture content
e determined via its effect on dielectric constant
measuring the capacitance between two electrodes
e Microcontroller based automated irrigation
stem consists of moisture sensor, microcontroller,
motors, overhead moving system
BLOCK DIAGRAM
Fig :- (3) Block Diagram of Microcontroller Based
Automated Irrigation System
(3) Block Diagram of Microcontroller Based
Automated Irrigation System Water is a very precious resource and a driving force
in irrigation. Adequate amount of water is needed t
every plant in the field, getting better plant yields,
reduce dependency on fertilizers and improve crop
quality. Various methods are available to measure soil
moisture content, but the quickest and better one is
with the use of soil moisture sensor electronic devices. For successful irrigation, it is necessary to monitor
soil moisture content continuously in the irrigation
fields. This sensor can be used to test the moisture of
soil, When the soil is having water
sensor will show the moisture content on LED display
and microcontroller will perform the operation. Water is a very precious resource and a driving force
in irrigation. Adequate amount of water is needed to
every plant in the field, getting better plant yields,
reduce dependency on fertilizers and improve crop
quality. Various methods are available to measure soil
moisture content, but the quickest and better one is
tronic devices. For successful irrigation, it is necessary to monitor
soil moisture content continuously in the irrigation
fields. This sensor can be used to test the moisture of
soil, When the soil is having water shortage, the
sensor will show the moisture content on LED display
and microcontroller will perform the operation. Water is a very precious resource and a driving force
in irrigation. Adequate amount of water is needed t
every plant in the field, getting better plant yields,
reduce dependency on fertilizers and improve crop
quality. Various methods are available to measure soil
moisture content, but the quickest and better one is
with the use of soil moisture sensor electronic devices. Water is a very precious resource and a driving force
in irrigation. Adequate amount of water is needed to
every plant in the field, getting better plant yields,
reduce dependency on fertilizers and improve crop
quality. Various methods are available to measure soil
moisture content, but the quickest and better one is
tronic devices. ry plant in the field, getting better plant yields,
uce dependency on fertilizers and improve crop
lity. 2. SOIL MOISTURE SENSOR Various methods are available to measure soil
sture content, but the quickest and better one is
h the use of soil moisture sensor electronic devices. successful irrigation, it is necessary to monitor
moisture content continuously in the irrigation
ds. This sensor can be used to test the moisture of
When the soil is having water
sor will show the moisture content on LED display
microcontroller will perform the operation. Fig :- (2) Soil Moisture Sensor
moisture sensors measure the water content in
A soil moisture probe is made up of multiple soil
sture sensors. One common type of soil moisture
sors in commercial use is a Frequency domain
sor such as a capacitance sensor. Another sensor,
neutron moisture gauge, utilize the moderator
perties of water for neutrons. Soil moisture content
y be determined via its effect on dielectric constant
measuring the capacitance between two electrodes
lanted in the soil. METHODOLOGY
Microcontroller based automated irrigation
em consists of moisture sensor, microcontroller,
ay driver, DC motors, overhead moving system
The moisture sensor is buried in the field at
uired depth. If the moisture content in the field gets
uced to lower threshold limit, the signal is
duced from the microcontroller to turn ON relay. relay allowed overhead moving system to reach
r to each plant and spray water over it from the
rce is supplied to the field. Moisture level sensed
m the sensor will be displayed in the LCD display. er reaching upper threshold limit, the sensor gives
esponding signal to the microcontroller and the
y is turned OFF. ry plant in the field, getting better plant yields,
uce dependency on fertilizers and improve crop
lity. Various methods are available to measure soil
sture content, but the quickest and better one is
tronic devices. successful irrigation, it is necessary to monitor
moisture content continuously in the irrigation
ds. This sensor can be used to test the moisture of
When the soil is having water shortage, the
sor will show the moisture content on LED display
microcontroller will perform the operation. Soil Moisture Sensor
moisture sensors measure the water content in
A soil moisture probe is made up of multiple soil
e sensors. One common type of soil moisture
sors in commercial use is a Frequency domain
sor such as a capacitance sensor. Another sensor,
neutron moisture gauge, utilize the moderator
perties of water for neutrons. 2. SOIL MOISTURE SENSOR SOIL MOISTURE SENSOR
ater is a very precious resource and a driving force
irrigation. Adequate amount of water is needed t
ery plant in the field, getting better plant yields,
duce dependency on fertilizers and improve crop
ality. Various methods are available to measure soil
oisture content, but the quickest and better one is
th the use of soil moisture sensor electronic devices. r successful irrigation, it is necessary to monitor
l moisture content continuously in the irrigation
lds. This sensor can be used to test the moisture of
l, When the soil is having water
nsor will show the moisture content on LED display
d microcontroller will perform the operation. Fig :- (2) Soil Moisture Sensor
il moisture sensors measure the water content in
l. A soil moisture probe is made up of multiple soil
oisture sensors. One common type of soil moisture
nsors in commercial use is a Frequency domain
nsor such as a capacitance sensor. Another sensor,
e neutron moisture gauge, utilize the moderator
operties of water for neutrons. Soil moisture content
ay be determined via its effect on dielectric constant
measuring the capacitance between two electrodes
planted in the soil. METHODOLOGY
e Microcontroller based automated irrigation
stem consists of moisture sensor, microcontroller,
lay driver, DC motors, overhead moving system
ater is a very precious resource and a driving force
irrigation. Adequate amount of water is needed to
ery plant in the field, getting better plant yields,
duce dependency on fertilizers and improve crop
ality. Various methods are available to measure soil
oisture content, but the quickest and better one is
tronic devices. r successful irrigation, it is necessary to monitor
l moisture content continuously in the irrigation
lds. This sensor can be used to test the moisture of
l, When the soil is having water shortage, the
nsor will show the moisture content on LED display
d microcontroller will perform the operation. Soil Moisture Sensor
il moisture sensors measure the water content in
l. A soil moisture probe is made up of multiple soil
e sensors. One common type of soil moisture
nsors in commercial use is a Frequency domain
nsor such as a capacitance sensor. Another sensor,
e neutron moisture gauge, utilize the moderator
operties of water for neutrons. 3. METHODOLOGY On that
nozzles are provided for
spraying unit. Two limit switches are provide at both
sides for the slider so that it will not cross the limit
when it perform forward and backward motion. 4. Soil Moisture Sensor Circuit: This circuit detects
the soil moisture level and send signal to the
motor via relay. Soil Moisture Sensor Circuit: This circuit detects
the soil moisture level and send signal to the 4. Soil Moisture Sensor Circuit: This circuit detects
the soil moisture level and send signal to the
motor via relay. Soil Moisture Sensor Circuit: This circuit detects
the soil moisture level and send signal to the 5. Water Spraying Circuit: This motor run when soil
moisture level below 45 until it comes to the 45
till that limit water will be continuously sprayed. Water Spraying Circuit: This motor run when soil
oisture level below 45 until it comes to the 45
till that limit water will be continuously sprayed. 5. Water Spraying Circuit: This motor run when soil
moisture level below 45 until it comes to the 45
till that limit water will be continuously sprayed. Water Spraying Circuit: This motor run when soil
oisture level below 45 until it comes to the 45
till that limit water will be continuously sprayed. 6. Transformer: Transformers are provided for the
change of voltage in the circuit. This system
requires 12V DC supply which we can provide
from the battery but the battery cannot
same supply for long period of time so we need to
charge it again and again instead of that we have
used AC supply which is converted in to DC by
Transformers. Transformer: Transformers are provided for the
change of voltage in the circuit. This system
requires 12V DC supply which we can provide
t the battery cannot provide
same supply for long period of time so we need to
charge it again and again instead of that we have
used AC supply which is converted in to DC by IJTSRD | Available Online @ www ijtsrd com
charge it again and again instead of that we have
used AC supply which is converted in to DC by
Transformers. Fig :- (4) Automated Irrigation System
this model we have used one plywood
called base on that base we have mounted four
tical pvc pipes for support structure. 3. METHODOLOGY @ IJTSRD | Available Online @ www.ijtsrd.com
www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018
Dec 2018
Page: 1053 @ IJTSRD | Available Online @ www.ijtsrd.com
www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-DD International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 3. LED Display: LED display shows the soil
moisture contents, If soil moisture is low then
water spraying motor will start and water will
come from the nozzle until the soil moisture level
come up to 45 after that system stops. LED Display: LED display shows the soil
moisture contents, If soil moisture is low then
spraying motor will start and water will
come from the nozzle until the soil moisture level
come up to 45 after that system stops. plants are implanted for better look. Two channels are
provided for the movement of horizontal slider which
perform forward and backward movement of spraying
nozzles. One DC motor of 200 RPM used for the
movement of slider with the help of long threaded rod
of 10mm diameter. Two medium density fiber board
(MDF) which are used for supportive structure of
dimension 100mm*100mm , At
fixed with threaded stud and fixed at the another end. Two threaded studs are fixed at both MDF sheet with
the help of nuts. One horizontal pvc pipe is fixed in
between two vertical slide of MDF sheet. On that
horizontal pvc pipe two nozzles are provided for
spraying unit. Two limit switches are provide at both
sides for the slider so that it will not cross the limit
when it perform forward and backward motion. plants are implanted for better look. Two channels are
provided for the movement of horizontal slider which
d backward movement of spraying
nozzles. One DC motor of 200 RPM used for the
movement of slider with the help of long threaded rod
Two medium density fiber board
(MDF) which are used for supportive structure of
dimension 100mm*100mm , At one side DC motor is
fixed with threaded stud and fixed at the another end. Two threaded studs are fixed at both MDF sheet with
the help of nuts. One horizontal pvc pipe is fixed in
between two vertical slide of MDF sheet. 5. ADVANTAGES Fig :- (8) 3 Way Upper Joint
(8) 3 Way Upper Joint Fig :- (8) 3 Way Upper Joint
(8) 3 Way Upper Joint The smart irrigation system will help us to provide
significant amount of water to every plant in the
greenhouse effect. It helps us to reduce human efforts
for manual watering process. It improves the yields of
crops which mean more income for the farmer people
prosperous. Soil moisture sensors are more accurate
than rain sensors because they can detect moisture
the level of the root system. They are more exact in
measuring how much water your plants are receiving
and thus offer greater water savings. The smart irrigation system will help us to provide
significant amount of water to every plant in the
use effect. It helps us to reduce human efforts
for manual watering process. It improves the yields of
crops which mean more income for the farmer people
prosperous. Soil moisture sensors are more accurate
than rain sensors because they can detect moisture at
the level of the root system. They are more exact in
measuring how much water your plants are receiving
and thus offer greater water savings. Fig :- (8) 3 Way Upper Joint
Fig :- (9) Slider
Fig :- (10) Nozzle
(8) 3 Way Upper Joint Fig :- (8) 3 Way Upper Joint
(8) 3 Way Upper Joint Fig :- (8) 3 Way Upper Joint
(8) 3 Way Upper Joint International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 7. FUTURE SCOPE Fig :- (10) Nozzle Fig :- (10) Nozzle In this system we can provide reverse watering
process by programming method. Overhead system
works on the basis of microcontroller device. We can
implant outside temperature and humidity sensor. Whenever there is a change in temperature and
humidity of the surroundings these sensors sense the
change
in
temperature
and
humidity
of
the
surroundings and gives an interrupt signal to the
microcontroller. If different kinds of sensors (that is,
temperature, humidity, and etc.) are involved in such
irrigation in future work, it can be said that an internet
based remote control of irrigation automation will be
possible. In this system we can provide reverse watering
process by programming method. Overhead system
works on the basis of microcontroller device. We can
plant outside temperature and humidity sensor. Whenever there is a change in temperature and
humidity of the surroundings these sensors sense the
change
in
temperature
and
humidity
of
the
surroundings and gives an interrupt signal to the
f different kinds of sensors (that is,
temperature, humidity, and etc.) are involved in such
irrigation in future work, it can be said that an internet
based remote control of irrigation automation will be Fig :- (10) Nozzle Fig :- (11) Automated Irrigation System
(11) Automated Irrigation System 6. APPLICATIONS An overhead watering method is a practical choice to
cover all the pots evenly with moisture. Sprinkler
heads connected to overhead water pipes emit a misty
spray
across
the
entire
greenhouse. Larger
greenhouses benefit from this irrigation method
because the sprinklers cover a significant amount of
square footage in a short amount of time. This system
is designed to apply water by moving over the plants. Using boom irrigation facilitates uniform water
application which in turn results in healthy growth of
the plants. Due to easy operation, uniformity and
efficiency, boom irrigation system are estimated to
register strong growth over the forecast period. An overhead watering method is a practical choice to
all the pots evenly with moisture. Sprinkler
heads connected to overhead water pipes emit a misty
spray
across
the
entire
greenhouse. Larger
greenhouses benefit from this irrigation method
because the sprinklers cover a significant amount of
e in a short amount of time. This system
is designed to apply water by moving over the plants. Using boom irrigation facilitates uniform water
application which in turn results in healthy growth of
the plants. Due to easy operation, uniformity and
cy, boom irrigation system are estimated to
register strong growth over the forecast period. Fig :- (9) Slider Fig :- (9) Slider 3. METHODOLOGY Artificial
www ijtsrd com | Volume
3 | Issue
1 | Nov Dec 2018
charge it again and again instead of that we have
used AC supply which is converted in to DC by
Automated Irrigation System
sed one plywood sheet which
called base on that base we have mounted four
rtical pvc pipes for support structure. Artificial
4. CATIA DESIGN
Fig :- (5) Plywood Base
Fig :- (6) T PVC Pipe
Fig :- (7) Vertical Pipes
Dec 2018
Page: 1054
(5) Plywood Base
(6) T PVC Pipe
(7) Vertical Pipes 4. Fig :- (5) Plywood Base
(5) Plywood Base Fig :- (6) T PVC Pipe
(6) T PVC Pipe Fig :- (7) Vertical Pipes
(7) Vertical Pipes Fig :- (4) Automated Irrigation System
Automated Irrigation System In this model we have used one plywood
is called base on that base we have mounted four
vertical pvc pipes for support structure. Artificial
sed one plywood sheet which
is called base on that base we have mounted four
vertical pvc pipes for support structure. Artificial @ IJTSRD | Available Online @ www.ijtsrd.com
www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018
Dec 2018
Page: 1054 International Journal of Trend in Scientific Resea
Fig :- (8) 3 Way Upper Joint
Fig :- (9) Slider
International Journal of Trend in Scientific Resea
(8) 3 Way Upper Joint
International Journal of Trend in Scientific Resea International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 International Journal of Trend in Scientific Research and Development (IJTSR
International Journal of Trend in Scientific Research and Development (IJTSR
International Journal of Trend in Scientific Research and Development (IJTSR International Journal of Trend in Scientific Research and Development (IJT
International Journal of Trend in Scientific Research and Development (IJT
International Journal of Trend in Scientific Research and Development (IJT monitors and controls all the activities of overhead
irrigation system efficiently. monitors and controls all the activities of overhead
5. Shagun Agrawal, Suyash Pandey, Shravan Kuma
Kunal Chaudhery, “ Automatic Irrigation Syst
Shagun Agrawal, Suyash Pandey, Shravan Kuma
Kunal Chaudhery, “ Automatic Irrigation System 5. Shagun Agrawal, Suyash Pandey, Shravan Kumar,
Kunal Chaudhery, “ Automatic Irrigation Syst
International Journal of Advance Researchand
Innovation, Volume 2, Issue 1(2014) 92
2347-3258
Shagun Agrawal, Suyash Pandey, Shravan Kumar,
Kunal Chaudhery, “ Automatic Irrigation System”
International Journal of Advance Researchand
Innovation, Volume 2, Issue 1(2014) 92-94 ISSN 9. REFRENCES 1. R. Vagulabranam, M. Karthikeyan
“Automatic Irrigation System On Sensing Soil
Moisture Content” International Research Journal
Of Engineering & Technology (IRJET) ISSN:
2395-0056
R. Vagulabranam, M. Karthikeyan, V. Sasikala,
“Automatic Irrigation System On Sensing Soil
Moisture Content” International Research Journal
Of Engineering & Technology (IRJET) ISSN: 6. Abhishek Kumar, Mangesh. S, “ Automated
Irrigation System Based On Soil Moisture Using
Arduino” International Journal of Pure and
Applied Mathematics Volume 116 No.21
319-323
Abhishek Kumar, Mangesh. S, “ Automated
Irrigation System Based On Soil Moisture Using
Arduino” International Journal of Pure and
Volume 116 No.21 2017, 2. Prof. Rashmi Jain, Shaunak Kulkarni, Ahtesham
Shaikh, Akash Sood, “ Automatic Irrigation
System For Agriculture Field Using Wireless
Sensor Network”, International Research Journal
Of Engineering & Technology (IRJET) ISSN:
2395-0056
Prof. Rashmi Jain, Shaunak Kulkarni, Ahtesham
Shaikh, Akash Sood, “ Automatic Irrigation
For Agriculture Field Using Wireless
Sensor Network”, International Research Journal
Of Engineering & Technology (IRJET) ISSN: 7. Priyamitra Munoth, Rohit Goyal, Kuldeep Tiwari,
“Sensor based Irrigation System”, International
Journal of Engineering Research & Technology(
IJERT) NCACE- 2016
Priyamitra Munoth, Rohit Goyal, Kuldeep Tiwari,
“Sensor based Irrigation System”, International
Journal of Engineering Research & Technology( 8. Ms. Deweshvree Rane , Prof. P. R. Indurkar, Prof. D. M. Khatri, “ REVIEW PAPER BASED ON
AUTOMATIC IRRIGATION SYSTEM BASED
ON RF MODULE”, IJAICT Volume 1, Issue9,
January 2015
Ms. Deweshvree Rane , Prof. P. R. Indurkar, Prof. “ REVIEW PAPER BASED ON
AUTOMATIC IRRIGATION SYSTEM BASED
ON RF MODULE”, IJAICT Volume 1, Issue9, 3. Anita K [3], “ Automatic Irrigation System” 2
International Conference on “ Innovative Trends
in Science, Engineering and Management” ISBN:
978-93-86171-10-8
Anita K [3], “ Automatic Irrigation System” 2nd
International Conference on “ Innovative Trends
g and Management” ISBN: International Conference on “ Innovative Trends
in Science, Engineering and Management” ISBN:
978-93-86171-10-8
4. Bikash Chandra Saha, Avinash Kumar, Naiyer
Mumtaz, [4] “ Microcontroller Based Irrigation
System Of Sensing Soil Moisture”
International Conference on “ Innovative Trends
g and Management” ISBN:
Bikash Chandra Saha, Avinash Kumar, Naiyer
Mumtaz, [4] “ Microcontroller Based Irrigation
,
AUTOMATIC IRRIGATION SYSTEM BASED
ON RF MODULE”, IJAICT Volume 1, Issue9,
January 2015
AUTOMATIC IRRIGATION SYSTEM BASED
ON RF MODULE”, IJAICT Volume 1, Issue9, 4. Bikash Chandra Saha, Avinash Kumar, Naiyer
Mumtaz, [4] “ Microcontroller Based Irrigation
System Of Sensing Soil Moisture”
Bikash Chandra Saha, Avinash Kumar, Naiyer
Mumtaz, [4] “ Microcontroller Based Irrigation 4. 8. CONCLUSION The primary application of this project is for farmers
and gardeners who do not have enough time to water
their
Crops/plants. The
system
improves
the
efficiency of water use to save water, relying on
modern science and technology to achieve high
quality and crop yield with the little
The Microcontroller based overhead irrigation system
proves to be real time feedback control system which
his project is for farmers
and gardeners who do not have enough time to water
their
Crops/plants. The
system
improves
the
efficiency of water use to save water, relying on
modern science and technology to achieve high
quality and crop yield with the littlest water source. The Microcontroller based overhead irrigation system
proves to be real time feedback control system which Fig :- (11) Automated Irrigation System
(11) Automated Irrigation System @ IJTSRD | Available Online @ www.ijtsrd.com
www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018
Dec 2018
Page: 1055 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 9. REFRENCES Bikash Chandra Saha, Avinash Kumar, Naiyer
Mumtaz, [4] “ Microcontroller Based Irrigation
System Of Sensing Soil Moisture”
Bikash Chandra Saha, Avinash Kumar, Naiyer
Mumtaz, [4] “ Microcontroller Based Irrigation @ IJTSRD | Available Online @ www.ijtsrd.com
www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018
Dec 2018
Page: 1056
|
https://openalex.org/W2800405401
|
https://journal.ipb.ac.id/index.php/jtpk/article/download/21086/14415
|
Indonesian
| null |
PEMETAAN ZONA GEOMORFOLOGI DAN HABITAT BENTIK DI PULAU KOTOK BESAR MENGGUNAKAN KLASIFIKASI BERBASIS OBJEK
|
Jurnal Teknologi Perikanan dan Kelautan/Jurnal teknologi perikanan dan kelautan
| 2,018
|
cc-by-sa
| 4,417
|
_ISSN 2087-4871 _ISSN 2087-4871 Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219__ ABSTRACT This study used high-resolution satellite imagery of worldview-2 acquisition 5 October 2013. The purpose of this
study was to explore the capability of high-resolution satellite imagery of worldview-2 to map the geomorphic zones
of shallow water in Kotok Besar island. The method used is object-based image analysis. This method is able to
define classes of objects based on spectral and spatial aspects. Image segmentation algorithm using multiresolution
segmentation with different scala parameters for each level, level 1, level 2 and level 3. Shape and compactness are also
customized for each level. Assign class at level 1 generates three classes, namely land, shallow water and deep water. Assign class at level 2 for geomorphic zone generates three class classes of reef flat, reef crest and reef slope. benthic
habitat classification at level 3 produces 7 classes with an overall accuracy was 66.40%. Keyword: benthic habitat, geomorphic zones, OBIA, satellite imagery of worldview-2 PEMETAAN ZONA GEOMORFOLOGI DAN HABITAT BENTIK DI PULAU
KOTOK BESAR MENGGUNAKAN KLASIFIKASI BERBASIS OBJEK
GEOMORPHIC ZONE AND BENTHIC HABITAT MAPPING IN KOTOK BESAR
ISLAND USING OBJECT-BASED CLASSIFICATION Ike Dori Candra1, Vincentius P. Siregar2, Syamsul B. Agus3
1Program Studi Teknologi Kelautan, Sekolah Pascasarjana
2Departemen Ilmu dan Teknologi Kelautan,
Fakultas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor
Korespondensi: i.doricandra@gmail.com, vingar56@yahoo.com, mycacul@gmail.com Kata kunci: citra satelit worldview-2, habitat bentik, OBIA, zona geomorfologi Jurnal Teknologi Perikanan dan Kelautan, IPB__ _ E-mail: jurnalfpik.ipb@gmail.com PENDAHULUAN dengan kemajuan teknologi satelit dan
komputer seperti sensor dan wahana serta
peningkatan resolusinya meliputi resolusi
spasial, resolusi temporal, resolusi spektral
dan resolusi radiometrik. Metode klasifikasi
dari data citra yang dikembangkan selama
ini juga berkembang dari interpretasi visual
menuju interpretasi citra secara otomatis
dengan bantuan komputer. Kehadiran citra
resolusi tinggi menuntut para praktisi untuk
mengekstrak informasi data citra dari metode
berbasis piksel menjadi klasifikasi berbasis
objek untuk mendapatkan hasil yang tepat
dan akurat, sehingga menuju pemanfaatan
yang optimal.i Pemetaan terumbu karang memerlukan
data yang dapat menggambarkan distribusi
spasial terumbu. Metode penginderaan jauh
dapat memberikan informasi penyebaran
terumbu karang yang dapat digunakan
sebagai
bahan
di
dalam
menentukan
rencana sampling di lapangan. Penginderaan
jauh untuk terumbu karang memanfaatkan
sinar radiasi elektromagnetik pada daerah
spektrum
sinar
tampak. Energi
pada
spektrum ini dapat menembus kolom air
sehingga dapat mendeteksi terumbu karang
yang berada di bawah permukaan air. Secara umum, spektrum sinar tampak dapat
dibagi menjadi tiga bagian, yaitu spektrum
sinar biru, sinar hijau dan merah. Makin
kecil panjang gelombangnya, maka energi
pada spektrum tersebut lebih dalam dapat
menembus air. Klasifikasi citra pada perkembangan
baru-baru ini menyebutkan bahwa terdapat
dua basis klasifikasi, klasifikasi berbasis
piksel
dan
klasifikasi
berbasis
obyek
(Nuvulur 2007). Klasifikasi citra yaitu proses
mengelompokkan piksel ke dalam kelas-
kelas yang telah ditentukan berdasarkan
nilai kecerahan piksel pada citra. Klasifikasi
citra berbasis piksel dibagi dua metode
yaitu
klasifikasi
terbimbing
(supervised
classification)
dan
klasifikasi
tidak
terbimbing
(unsupervised
classification). Metode
klasifikasi
pada
citra
resolusi
tinggi juga mengalami perkembangan yaitu
klasifikasi citra berbasis obyek (OBIA :
Object Based Image Analysis). Klasifikasi
ini
terbukti
mampu
meningkatkan
akurasi untuk pemetaan geomorfologi dan
ekologi ekosistem terumbu karang pada
tiga perairan yang berbeda (Phinn et al. 2011). Peneliti menerapkan OBIA dalam
mengklasifikasi habitat perairan dangkal. Proses klasifikasi metode ini menggunakan
prosedur segmentasi dengan sistem hierarki,
sehingga suatu karakteristik objek dapat
ditambahkan dengan kumpulan informasi
tambahan dari objek yang diklasifikasikan
seperti
bentuk,
tekstur,
konteks
dan
informasi yang lain terkait dengan objek
yang
diklasifikasikan
(Blaschke
2010). Tambahan informasi untuk setiap objek akan
memperkaya informasi dalam klasifikasi,
sehingga dapat menghasilkan klasifikasi
yang jelas dan akurat. Perbedaan mendasar
pada pendekatan ini dibandingkan dengan
klasifikasi berbasis piksel terletak pada unit
dasar proses analisis citra berupa objek citra
atau segmen, tidak pada piksel tunggal. Keberhasilan
pendekatan
klasifikasi
berbasis objek sangat tergantung pada
kualitas segmentasi citra. Kim et al. (2008)
menyatakan belum ada metode objektif
dalam
menentukan
skala
segmentasi,
umumnya menggunakan metode uji coba. ABSTRAK Penelitian ini menggunakan citra satelit resolusi tinggi worldview-2 akuisisi 5 Oktober 2013. Tujuan dari penelitian ini
adalah untuk mengkaji kemampuan citra satelit resolusi tinggi worldview-2 dalam memetakan zona geomorfologi dan
habitat bentik perairan dangkal di Pulau Kotok Besar. Metode yang digunakan adalah metode klasifikasi Object Based
Image Analysis (OBIA). Metode ini mampu mendefinisikan kelas-kelas objek berdasarkan aspek spektral dan spasial. Segmentasi citra menggunakan algoritma multiresolution segmentation dengan parameter skala yang berbeda untuk setiap
level, baik level 1, level 2 dan level 3. Shape dan compactness juga disesuaikan untuk setiap level. Penentuan kelas pada
level 1 menghasilkan tiga kelas yaitu daratan, perairan dangkal dan perairan dalam. Penentuan kelas pada level 2 untuk
zona geomorfologi menghasilkan tiga kelas yaitu reef flat, reef crest dan reef slope. Klasifikasi habitat bentik pada level 3
menghasilkan 7 kelas dengan akurasi keseluruhan yaitu 66.40 %. Jurnal Teknologi Perikanan dan Kelautan, IPB_ _ E-mail: jurnalfpik.ipb@gmail.com Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219 PENDAHULUAN Teknik penginderaan jauh memiliki
keunggulan untuk memetakan dan untuk
melakukan pemantauan serta inventarisasi
habitat perairan dangkal pada area yang
luas, dengan biaya operasional relatif murah
serta metode penginderaan jauh yang efektif
untuk melengkapi pengamatan lapangan
habitat bentik yang umumnya pada daerah
yang sulit dijangkau. Oleh karena itu, teknik
penggunaan
teknik
penginderaan
jauh
sangat memungkinkan untuk pemetaan
dasar perairan dangkal (Siregar 2010),
pemantauan
kondisi
terumbu
karang
(Green et al. 2000), deteksi perubahan
dan dinamika sebaran terumbu karang
(Klemas 2001), pemetaan geomorfologi dan
ekologi terumbu karang (Phinn et al. 2011). Namun, pemanfaatan teknologi mempunyai
kendala-kendala, yaitu kesulitan dalam
mendeteksi
habitat
bawah
air
karena
pengaruh kedalaman (Mumby & Edwards
2002). Permasalahan yang dihadapi dalam
aplikasi
penginderaan
jauh
yang
lain
adalah menentukan tingkat akurasi dan
ketidakpastian
(uncertainity)
(Congalton
&
Green
2009). Beberapa
penelitian
menunjukkan
bahwa
dalam
pemetaan
geomorfologi laut dan habitat dasar perairan
dangkal dengan akurasi keseluruhan >60
% sudah dapat menggambarkan bahwa
klasifikasi yang dibangun sudah baik,
maka pemilihan metode klasifikasi citra
merupakan hal yang perlu dipertimbangkan
untuk mendapatkan akurasi yang baik
(Phinn et al. 2011).i Perkembangan
metode
klasifikasi
data penginderaan jauh untuk berbagai
kebutuhan
semakin
meningkat
seiring 210 Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219 ISSN 2087-4871 Maret sampai April 2015. Peta Pulau Kotok
Besar dapat dilihat pada Gambar 1. Maret sampai April 2015. Peta Pulau Kotok
Besar dapat dilihat pada Gambar 1. Kombinasi beberapa teknik untuk
mengekstraksi informasi dari data citra
resolusi tinggi perlu mempertimbangkan
beberapa
faktor. Penerapan
beberapa
faktor
koreksi
untuk
mempertajam
interpretasi,
metode
klasifikasi
citra
dan survei lapangan yang tepat sangat
mempengaruhi peningkatan akurasi dalam
klasifikasi. Berdasarkan latar belakang di
atas maka peneliti melakukan penelitian
pemetaan geomorfologi dan habitat dasar
perairan dangkal dari citra resolusi tinggi
menggunakan klasifikasi berbasis objek. Alat yang digunakan dalam penelitian
ini adalah perangkat keras, perangkat
lunak dan peralatan lapangan. Perangkat
keras yaitu personal laptop dan perangkat
lunaknya adalah microsof office, microsoft
excel add ins XLSTAT, Coral point with Excel
Extention 4.0, Garmin GPSMAP 76csx, ENVI
5.1, ArcGIS Dekstop 10.1, dan Ecognition 9.0. Adapun peralatan lapangan tercantum pada
Tabel 1. Bahan yang digunakan adalah citra
satelit worldView-2 produk standar 2A dan
dilengkapi dengan metadata (header file). Citra satelit worldview-2 ini akuisisi tanggal 5
Oktober 2013 dan sistem proyeksi koordinat
UTM zona 48S – WGS1984 (DigitalGlobe
2010). Analisis data secara visual dengan acuan kode lifeform
dari LIPI. Data hasil analisis dari CPCe ini
disimpan dalam file excel untuk selanjutnya
dilakukan
analisis
statistik. Analisis
statistisk dengan menggunakan algoritma
Agglomerative Hierarchical Clustering (AHC). Data
lapangan
berasal
dari
pengamatan langsung di lokasi penelitian. Zona geomorfologi ditentukan berdasarkan
pengamatan visual dan interpretasi citra. Habitat
bentik
ditentukan
berdasarkan
identifikasi teknik foto transek quadrat
(English et al. 1994; Roefselma & Phinn,
2008). Adapun karakteristik dari citra
worldview-2 secara lengkap dapat dilihat
pada Tabel 2. Tahapan
pra
pengolahan
citra
worldview-2
terlebih
dahulu
dilakukan
sebelum
klasifikasi
citra. Worldview-2
dengan tipe produk standar 2A sudah
terkoreksi geometrik. Kemudian dilakukan
koreksi radiometrik dengan metode Dark
Pixel Substraction. Prinsip metode ini adalah
memperbaiki nilai radiometrik (pixel value)
pada citra akibat gangguan atmosferik. Jika
tidak ada atmosfer,objek berwarna gelap
atau biasanya berupa air dan bayangan
awan seharusnya memiliki nilai piksel 0
(Ardiansyah 2015). Analisis
persentase
tutupan
dengan teknik pengamatan grid kuadran
menggunakan aplikasi Coral Point Count With
Excel Extension (CPCe) (Kohler & Gill 2006). Metode yang digunakan adalah metode
uniform grid dengan sebaran titik sebanyak
25 titik setiap foto. Setiap titik diidentifikasi Tabel 2. Karakteristik citra worldview-2 Tabel 2. Karakteristik citra worldview-2
No
Band
Kisaran λ (nm)
Resolusi
1
Pankromatik
0.5
2
Coastal
400-450
1.8
3
Blue
450-510
1.8
4
Green
510-580
1.8
5
Yellow
585-625
1.8
6
Red
630-690
1.8
7
Red-Edge
705-745
1.8
8
NIR-1
770-895
1.8
9
NIR-2
860-1040
1.8 citra berbasis objek menggunakan software
eCognition 9.0. Input image layer yang
digunakan
adalah
citra
multispektral
worldview-2 terkoreksi dengan 8 band
(coastal, blue, green, yellow, red, red edge,
NIR 1 dan NIR 2) dan input thematic layer
adalah polygon klasifikasi. Membangun
ruleset pada pohon proses (process tree)
untuk setiap segmen menjadi kelas pada
setiap level dan penentuan kelas (assign
class) dengan menggunakan penentuan
ambang batas (treshold). Koreksi
radiometrik
tujuannya
adalah
untuk
memperbaiki
kualitas
visual citra, dalam hal ini memperbaiki
nilai piksel yang tidak sesuai dengan nilai
pancaran
objek
sebenarnya. Tahapan
metode Dark Pixel Substraction ialah dengan
menggunakan band minimum. Sejumlah
piksel pada masing-masing kanal di laut
dalam diambil dan rata-rata dari nilai-nilai
piksel tersebut (nilai digital atau radiansi)
digunakan sebagai faktor pengurang nilai
piksel pada masing-masing kanal (Green et
al. 2000), yang ditulis dengan persamaan : Algoritma yang digunakan untuk
segmentasi
adalah
multiresolution
segmentation
(MRS). Algoritma
MRS
merupakan metode segmentasi berbasis
region growing yang dikembangkan oleh
Baatz & Schape ( 2000). METODE PENELITIAN Penelitian ini dilaksanakan di wilayah
perairan Pulau Kotok Besar Kabupaten
Kepulauan Seribu Provinsi DKI Jakarta. Penelitian ini dilaksanakan pada bulan Gambar 1. Lokasi penelitian
Tabel 1. Peralatan lapangan
No
Peralatan
Parameter
1
GPS Garmin 76csx
Pengumpulan data koordinat : Ground truth
point, Ground truth habitat
2
SCUBA Diving
Pengambilan data habitat terumbu karang
3
Transek Kuadran
4
Meteran rol 50 m
5
Camera + Housing Underwater
6
Underwater slater dan paper
Pencatatan data
7
GPS Floating Kit
Pelampung
8
Dry Bag
Pelindung GPS dari air Gambar 1. Lokasi penelitian Gambar 1. Lokasi penelitian Gambar 1. Lokasi penelitian Tabel 1. Peralatan lapangan
No
Peralatan
Parameter
1
GPS Garmin 76csx
Pengumpulan data koordinat : Ground truth
point, Ground truth habitat
2
SCUBA Diving
Pengambilan data habitat terumbu karang
3
Transek Kuadran
4
Meteran rol 50 m
5
Camera + Housing Underwater
6
Underwater slater dan paper
Pencatatan data
7
GPS Floating Kit
Pelampung
8
Dry Bag
Pelindung GPS dari air ..(CANDRA et al.)
211 Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219 Klasifikasi level 2 Klasifikasi
level
2
merupakan
klasifikasi zona geomorfologi dimana class
filternya diambil dari perairan dangkal
level 1. Perairan dangkal ini pada level
2 disegmentasi ulang dengan algoritma
Multiresolution Segmentation (MRS) dengan
skala 10, shape 0.1 dan compactness
0.9. Dari hasil segmentasi ini dihasilkan
sebanyak 1080 segmen. Selanjutnya dari
segmen dilakukan assign class dengan
penentuan ambang batas (treshold) untuk
setiap zona geomorfologi. Treshold relatif
border to deep water menghasilkan zona
geomorfologi reef slope. Treshold relatif border
to slope menghasilkan zona geomorfologi reef
crest. Treshold ratio red edge menghasilkan
zona geomorfologi reef flat. Klasifikasi level
2 menghasilkan 3 zona geomorfologi yaitu
reef slope, reef crest dan reef flate. Phinn et
al. (2011) mendeskripsikan bahwa rataan
terumbu (reef flat) merupakan perairan
dangkal, sebagian muncul ke permukaan
terletak antara puncak terumbu (reef crest). Lereng terumbu (reef slope) merupakan
wilayah yang memiliki kemiringan tertentu
menghadap ke arah perairan atau biasa
disebut tubir. Puncak terumbu (reef crest)
merupakan zona yang muncul pada saat Klasifikasi level 1 Klasifikasi level 1 merupakan langkah
awal
dalam
klasifikasi
berbasis
objek
dengan menggunakan software eCognition
9.0. Langkah pertama dimulai dengan
melakukan segmentasi citra dan assign
class. Segmentasi level 1 menghasilkan
segmen sebanyak 419 segmen. Kemudian
dilakukan assign class dengan menggunakan
treshold Normalize Difference Vegetation
Index (NDVI) dan ratio green. Assign class
menghasilkan 3 kelas utama yaitu kelas
daratan (land) dengan luas 22.83 Ha, kelas
perairan dangkal (shallow water) dengan
luas 46.46 Ha dan kelas perairan dalam
(deep water) dengan luas 52.60 Ha. Phinn et
al. 2011 melaporkan bahwa klasifikasi pada
level 1 (reef level) pada sistem klasifikasi
hirarki yaitu kelas perairan dangkal menjadi
batasan area kajian dan diproses menjadi
segmen baru untuk klasifikasi pada level 2
(zona geomorfologi). Hasil klasifikasi level 1
ini nanti digunakan atau diperbanyak untuk
proses segmentasi level 2. Hasil klasifikasi
level 1 dapat dilihat pada Gambar 2. Klasifikasi level 3 yang merupakan
klasifikasi habitat bentik menggunakan
algoritma Support Vector Machine (SVM) dan
input thematic layer untuk penentuan kelas. Menurut Wahidin et al. 2015 algoritma SVM
mampu menghasilkan akurasi yang lebih
baik pada metode berbasis OBIA. Klasifikasi
level 3 dilakukan dengan mensegmentasi
ulang hasil level 2. Langkah Selanjutnya
assign class by thematic layer berikut
atributnya, classifier algoritma SVM dan
terakhir apply classifier. Hasil klasifikasi
diekspor dalam bentuk raster dan vector
lengkap dengan atribut kelasnya. Hasil
klasifikasi level 3 dilakukan pengujian
akurasi. Analisis data Proses segmentasi
dijalankan berdasarkan lima parameter yaitu
skala (scale), bentuk (shape), warna (colour),
kehalusan (smoothness) dan kekompakan
(compactness). Parameter skala merupakan L′i = Li – Lsi dimana:
L′i
= nilai piksel terkoreksi pada kanal i,
Li
= nilai piksel awal pada kanal I, dan
Lsi
= nilai piksel rata-rata sampling di
laut dalam pada kanal i. dimana:
L′i
= nilai piksel terkoreksi pada kanal i,
Li
= nilai piksel awal pada kanal I, dan
Lsi
= nilai piksel rata-rata sampling di
laut dalam pada kanal i. p
Citra
yang
sudah
terkoreksi
digunakan sebagai input untuk pengolahan Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219 212 ISSN 2087-4871 ISSN 2087-4871 HASIL DAN PEMBAHASAN nilai abstrak untuk menentukan besarnya
heterogenitas objek yang diperoleh dalam
satu objek (Trimble 2014). Segmentasi level 1
menggunakan skala 25, level 2 skala 10 dan
level 3 skala 5. Assign class level 1 dengan
menggunakan treshold NDVI dan ratio band
green. Assign class level 2 menggunakan
treshold relatif border to deep water, relatif
border to slope dan ratio red edge. Penggunaan
skala dan treshold bersifat try and error dan
belum ada framework teoritisnya. Pengguna
harus mencari sendiri parameter terbaiknya
(Blaschke & Hay 2001; Burnett &Blaschke
2003). Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219 Uji Akurasi Uji akurasi dilakukan pada peta hasil
klasifikasi level 3 yaitu kelas hirarki habitat
bentik. Uji akurasi diterapkan pada peta
hasil klasifikasi untuk mengetahui akurasi
dari teknik klasifikasi yang diterapkan. Uji
akurasi yang umum dilakukan adalah matrik
kesalahan (error matrix). Teknik matrik
kesalahan
yaitu
membandingkan
citra
hasil klasifikasi sebagai peta terhadap kelas
yang sebenarnya. Kelas yang sebenarnya
diperoleh dari hasil pengamatan lapangan
pada kelas-kelas yang telah didefinisikan
berdasarkan skema klasifikasi. Penerapan
uji
akurasi
menghasilkan
persentase
ketelitian pada sampel kelas yang diuji yaitu
producer’s accuracy, user’s accuracy dan
overall accuracy (Congalton & Green 2009). Persentase ketelitian suatu kelas diperoleh
dari perbandingan jumlah piksel yang benar
yang masuk pada training area suatu kelas. Persentase
ketelitian
klasifikasi
secara
keseluruhan dihitung dari perbandingan
antara jumlah piksel yang benar setiap
kelas dengan total piksel training area
keseluruhan. 213 ..(CANDRA et al.)
2 Pemetaan Zona Geomorfologi.. crest 9.44 Ha dan zona reef slope 8.22 Ha. Jadi zona reef flat merupakan zona dengan
luasan yang paling besar. Hasil klasifikasi
level 2 dapat dilihat pada Gambar 3. surut terendah. Zona ini terletak pada
bagian yang menghadap perairan dan
mendapat energi yang tinggi dari gempuran
gelombang. Dari hasil klasifikasi, zona reef
flat memiliki luasan 27.79 Ha, zona reef Gambar 2. Klasifikasi level 1 (reef level)
Gambar 3. Klasifikasi level 2 Gambar 2. Klasifikasi level 1 (reef level) Gambar 2. Klasifikasi level 1 (reef level) Gambar 2. Klasifikasi level 1 (reef level) Gambar 3. Klasifikasi level 2 Gambar 3. Klasifikasi level 2 Gambar 3. Klasifikasi level 2 214 Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219 ISSN 2087-4871 24.07 Ha (51.81%) dan yang paling sedikit
adalah kelas habitat bentik karang mati +
pasir yaitu seluas 1.77 Ha (3.81%).i 24.07 Ha (51.81%) dan yang paling sedikit
adalah kelas habitat bentik karang mati +
pasir yaitu seluas 1.77 Ha (3.81%).i Klasifikasi level 3 24.07 Ha (51.81%) dan yang paling sedikit
adalah kelas habitat bentik karang mati +
pasir yaitu seluas 1.77 Ha (3.81%).i Analisis habitat bentik di perairan
dangkal Pulau Kotok Besar menggunakan
Coral Point Count With Excel Extension
(CPCe) 4.0 dan hasilnya dianalisis kluster
menggunakan
algoritma
Agglomeretive
Hierarchical
Clustering
(AHC)
dengan
truncation 0.4. Kehadiran kurang dari 4%
diabaikan dalam menentukan jumlah kelas
habitat bentik (Green et al. 2000). Dendogram
hasil analisis kluster disajikan pada Gambar
4. p
y
(
)
Peta
klasifikasi
habitat
bentik
menunjukkan
bahwa
habitat
bentik
terdistribusi di perairan dangkal Pulau
Kotok Besar. Zona geomorfologi reef slope
didominasi oleh habitat bentik karang hidup
(KH) diikuti habitat bentik karang mati (KM). Zona geomorfologi reef crest didominasi
oleh habitat bentik rubble. Hal ini sesuai
dengan klasifikasi hirarki zona geomorfologi
dan habitat bentik berdasarkan Phinn et
al. (2011), dimana terdapat asosiasi yang
erat
antara
zona
geomorfologi
dengan
keberadaan habitat bentik tertentu. Zona
geomorfologi reef flat didominasi oleh habitat
bentik pasir + FS (PFS) diikuti kelas lamun
+ pasir (LP). Zona geomorfologi ini memang
cocok untuk habitat bentik FS dan lamun
dikarenakan kondisinya terlindung dari
gempuran gelombang laut yang kuat. Analisis
kluster
AHC
ini
menghasilkan 7 komposisi habitat bentik. Pelabelan kelas habitat bentik berdasarkan
kelas centroid setiap kelas dan komposisi
yang paling dominan. Kelas habitat bentik
yang diberi label yaitu karang hidup (KH),
karang mati (KM), karang mati + pasir (KHP),
lamun + pasir (LP), rubble (R), pasir + FS
(PFS), rubble + karang mati (RKM). Pelabelan
komposisi habitat bentik dapat dilihat
pada Gambar 5. Andrefouet et al. (2003)
menjelas bahwa habitat bentik ditentukan
berdasarkan persentase tutupan masing-
masing komponen penyusun habitat. Hasil
penggelompokkan 7 kelas habitat bentik
dijadikan pedoman dalam klasifikasi level 3
habitat bentik dalam bentuk thematic layer. Uji akurasi Uji akurasi dengan matrik kesalahan
(matrix error) diperoleh akurasi keseluruhan
(overall accuracy) sebesar 66.40 % dan nilai
kappa sebesar 0.58. Menurut Green et al. (2000) bahwa akurasi pemetaan habitat
bentik yang dapat digunakan adalah dengan
akurasi keseluruhan sebesar >60%. Nilai
kappa
merupakan
ukuran
kebenaran
antara kelas yang direpresentasikan dan
menunjukkan
nilai
kesesuaian
hasil
klasifikasi pada citra dan keadaan di
lapangan. Nilai kappa akan selalu lebih
rendah dari nilai overall. Nilai kappa 0.58
berarti
58%
konsistensi
akurasi
pada
klasifikasi acak. Menurut Landish & Koch
(1997 dalam Congalton & Green 2009) nilai
koefisien kappa antara 0.4 – 0.8 termasuk
kategori sedang. Klasifikasi
level
3
merupakan
klasifikasi
habitat
bentik
dengan
melakukan segmentasi ulang klasifikasi
level 2. Segmentasi menggunakan algoritma
Multiresolution Segmentation dengan skala
5, shape 0.1 dan compactness 0.7. Hasil
eksekusi segmentasi didapatkan sebanyak
4041 segmen. Selanjutnya assign class
berdasarkan thematic layer di mana thematic
layer merupakan polygon klasifikasi habitat
bentik perairan dangkal. Klasifikasi habitat
bentik menggunakan algoritma Support
Vector Machine (SVM) dan menghasilkan
7 kelas habitat bentik yaitu karang hidup
(KH),karang mati (KM), karang mati + pasir
(KHP), lamun + pasir (LP), rubble (R), pasir +
FS (PFS), rubble + karang mati (RKM). Hasil
klasifikasi level 3 dapat dilihat pada Gambar
6.i (PA) Nilai
producer
accuracy
(PA)
dihasilkan dengan rentang antara 35% -
92.31% dan user’s accuracy (UA) dihasilkan
dengan rentang antara 33% - 100%. Secara
umum kelas habitat bentik dapat dipetakan
dengan baik dan yang belum dipetakan
dengan baik yaitu kelas habitat bentik
karang hidup (KH), karang mati (KM). Kelas
habitat bentik KH, PA dan UA masing-masing
66.67% dan 34.78%. Kelas habitat bentik
KM, PA dan UA masing-masing 35.71% dan
33.33%. Uji akurasi dapat dilihat pada Tabel
3. Hasil klasifikasi level 3 pada Gambar
6 diperoleh luas area masing-masing habitat
bentik yaitu : karang hidup 3.39 Ha (7.31%),
karang mati 2.91 Ha (6.28%), karang mati
+ pasir 1.77 Ha (3.81%), lamun + pasir
2.51 Ha (5.41%), rubble 9.19 Ha (19.8%),
pasir + FS 24.07 Ha (51.81%) dan rubble +
karang mati 2.59 Ha (5.59%). Berdasarkan
luas area dapat dilihat bahwa kelas habitat
bentik pasir + FS mendominasi yaitu seluas Rendahnya akurasi disebabkan oleh
beberapa faktor yaitu GPS dengan citra
satelit resolusi tinggi pada saat pengambilan 215 .(CANDRA et al.) .(CANDRA et al.) Pemetaan Zona Geomorfologi.. data. GPS yang digunakan memiliki presisi
3-5 m dari posisi sebenarnya sedangkan
citra satelit memiliki resolusi 1.84 m. Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219 Uji akurasi Diduga
titik lapang yang menjadi acuan klasifikasi
masih kurang dan tidak menyebar di seluruh
wilayah
penelitian. Pemetaan
habitat
bentik di Pulau Kotok belum begitu banyak
dilakukan baik menggunakan metode piksel maupun metode OBIA. Kedepannya metode
klasifikasi piksel dan OBIA dapat dilakukan
secara bersamaan pada satu wilayah agar
didapatkan perbandingan yang signifikan
dan dilihat masing-masing keunggulannya. Khusus metode OBIA perlu diterapkan juga
metode algoritma yang lain seperti Random
Trees, KNN, Bayes dan Decision Tree. Gambar 4. Dendogram hasil kluster AHC
Gambar 5. Pelabelan komposisi habitat bentik Gambar 4. Dendogram hasil kluster AHC Gambar 4. Dendogram hasil kluster AHC Gambar 5. Pelabelan komposisi habitat bentik Gambar 5. Pelabelan komposisi habitat bentik 216 Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219 ISSN 2087-4871 Gambar 6. Hasil Klasifikasi level 3 algoritma classifier SVM Gambar 6. Hasil Klasifikasi level 3 algoritma classifier SVM Tabel 3. Matrik Kesalahan Hasil Klasifikasi Tabel 3. Matrik Kesalahan Hasil Klasifikasi Tabel 3. Matrik Kesalahan Hasil Klasifikasi
Lapang
citra
KH
KM
KM+P
L+P
R
P+FS
R+KM
TOTAL
UA
KH
8
5
4
6
23
34.78 %
KM
3
5
2
5
15
33.33 %
KMP
8
8
100 %
LP
8
2
10
80 %
R
1
3
1
9
1
15
60 %
PFS
3
2
1
36
42
85.71 %
RKM
1
2
9
12
75.00 %
TOTAL
12
14
12
10
18
39
20
125
34.78 %
PA
66.67 %
35.71 %
66.67 %
80 %
50 %
92.31%
45 %
66.40%
KESIMPULAN DAN SARAN
Kesimpulan
bentik dapat dipetakan dengan baik dan
peta dengan akurasi lebih dari 60% dapat
digunakan Tabel 3. Matrik Kesalahan Hasil Klasifikasi KESIMPULAN DAN SARAN bentik dapat dipetakan dengan baik dan
peta dengan akurasi lebih dari 60% dapat
digunakan. Kesimpulan Klasifikasi berbasis objek (OBIA)
menggunakan
citra
resolusi
tinggi
worldview-2
di
Pulau
Kotok
Besar
menghasilkan klasifikasi pada 3 level. Klasifikasi level 1 menghasilkan kelas land,
shallow water dan deep water. Klasifikasi
level 2 menghasilkan 3 zona geomorfologi
yaitu reef flat, reef crest dan reef slope. Klasifikasi level 3 menghasilkan 7 kelas
habitat bentik yaitu KH, KM, KM + pasir,
lamun + pasir, rubble, pasir + FS dan
rubble + KM. Uji akurasi dari matrix error
klasifikasi didapatkan akurasi keseluruhan
(OA) sebesar 66.40% dan nilai kappa 0.58. Secara umum zona geomorfologi dan habitat Pemetaan Zona Geomorfologi.. UCAPAN TERIMA KASIH Kim M, Madden M, Warner T. 2008. Estimation of Optimal image object size
for the segmentation of forest stand
with multispectral IKONOS imagery. Object Based image nalysis. ‘Di Dalam’
: Blacschke T, Lang S, Hay G, ‘editor’,
Academic Press. Volume 40: 81-251. Penulis mengucapkan terimakasih
kepada Bapak Prof. Dr. Ir. Vincentius P. Siregar, DEA dan Dr. Syamsul Bahri Agus,
S.Pi, M.Si yang telah banyak membantu
penulis
dalam
hal
penyediaan
citra,
pengerjaan data, membimbing dan memberi
semangat kepada penulis. Penulis juga
mengucapkan
terimakasih
kepada
Tim
Redaksi Jurnal Teknologi Perikanan dan
Kelautan, Fakultas Perikanan dan Ilmu
Kelautan, Institut Pertanian Bogor. Klemas
V. 2001. Remote
Sensing
of
landscape-level coastal environment
indicators. ENVIRO manag. 85:159-
173. Kohler KE, Gill SM. 2006. Coral point count
with excel extensions (Cpce): a visual
basic program for the determination
of coral and substrate coverage Using
random point count methodology. Comput Geosci. 32: 1259-1269. Saran Pemetaan habitat bentik hendaknya
melakukan
pencocokan
antara
waktu
perekaman citra dan perekaman pengambilan
data lapang agar data lapang yang diambil
sesuai dengan data citra yang sebenarnya. Pengambilan data diperlukan GPS yang
lebih presisi dan akurat agar sesuai dengan
citra satelit yang memiliki resolusi tinggi
agar didapatkan data lapang yang lebih
akurat. Data lapang yang lebih banyak dan
tersebar secara merata sangat diperlukan di
lokasi penelitian agar proses klasifikasi dan
dapat menghasilkan uji akurasi yang lebih 217 .(CANDRA et al.) Pemetaan Zona Geomorfologi. resources,
Australian
Institute
of
Marine Science. tinggi. Teknik klasifikasi yang lain perlu
dilakukan seperti algoritma classifier KNN,
bayes, random tree dan decision tree agar
didapatkan perbandingan teknik kualifikasi
yang terbaik. Green EP, Mumby PJ, Edwards AJ, Clark
CD. 2000. Remote sensing handbook
for
tropical
coastal
management:
UNESCO. Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219 based image analysis for coral reef
benthic habitat mapping with several
classification
algorithms.
Procedia
Environmental Sciences. 24: 222-227. Pemetaan Zona Geomorfologi.. based image analysis for coral reef
benthic habitat mapping with several
classification
algorithms.
Procedia
Environmental Sciences. 24: 222-227. DAFTAR PUSTAKA Ardiansyah. 2015. Pengolahan
Citra
Penginderaan
Jauh. Jakarta
:
Departemen
Geografi
F-MIPA
Universitas Indonesia. Mumby PJ, Edwards AJ. 2002. Mapping
marine environment with IKONOS
imagery : enhanced spatial resolution
can deliver greater thematic accuracy. Remote
Sensing
of
Environment. 82:248-257. Baatz M, Schape A. 2000. Multiresolution
segmentation
an
optimization
approach
for
high
quality
multi-
scale
image
segmentation. Angewandte
Geographische
Informationsverarbeitung. XII: 12-23. Nuvulur
K. 2007. Multispectral
image
analysis
using
the
object-oriented
paradigm. New York. CRC Press. Taylor
and Francis Group. Blaschke T. 2010. Object based image
analysis for remote sensing. ISPRS
Journal of Photogrametry and Remote
Sensing. 65: 2-16 Phinn SR, Roelfsema CM, Mumby PJ. 2011. Multi-scale, object-based image
analysis
for
mapping
geomorphic
and ecological zones on coral reefs. International
Journal
of
Remote
Sensing. 33: 3768-3797. Blaschke T, Hay GJ. 2001. Object-oriented
image
analysis
and
scale-space:
Theory and methods for modeling
and evaluating multiscale landscape
structure. International Society for
Photogrammetry and Remote Sensing
A Photogramm 34: 22-29. Roelfsema C, Phinn S. 2008. Evaluating eight
field and remote sensing Approaches
for Mapping the Benthos of Three
Different Coral Reef Environments in
Fiji. Proc. of SPIE. Vol. 71500 71500F-
1. Burnett C, Blaschke T. 2003. A multi-scale
segmentation/object
relationship
modelling methodology for landscape
analysis. Ecol Model. 168: 233-249. Siregar VP. 2010. Pemetaan substrat dasar
perairan dangkal karang congkak dan
lebar Kepulauan Seribu menggunakan
citra satelit quick bird. E-Jurnal Imu
dan Teknologi Kelautan Tropis. 2: 19-
30. Congalton, RG. Green, K. 2009. Assessing
The Accuracy of Remotely Sensed Data:
Principles and Practices (2nd Edition),. Boca Raton: CRC Press, Taylor and
Francis Group. Trimble. 2014. eCognition Developer 9.0 User
Guide. Munich, Germany: Trimble
Documentation. Digitalglobe. 2010. Radiometric
use
of
worldview-2 imagery: technical note. 1601 Dry Creek Drive Suite 260
Longmont,
Colorado,
USA,
80503
DigitalGlobe®. Landis JR, Koch GG. (1977). The Measurement
of Observer Agreement for Categorical
Data. Biometrics, 33, hlm. 159-174. English SA, Baker VJ, Wilkinson CR, 1994. Survey manual for tropical marine Wahidin N, Siregar VP, Nababan B, Jaya
I,
Wouthuyzen
S. 2015. Object- 218 Jurnal Teknologi Perikanan dan Kelautan Vol. 8 No. 2 November 2017: 209-219 ISSN 2087-4871 ..(CANDRA et al.)
219 Pemetaan Zona Geomorfologi..
|
https://openalex.org/W2974536228
|
https://inria.hal.science/hal-03769138/file/490001_1_En_5_Chapter.pdf
|
English
| null |
Using PVS for Modeling and Verification of Probabilistic Connectors
|
Lecture notes in computer science
| 2,019
|
cc-by
| 7,254
|
To cite this version: M. Saqib Nawaz, Meng Sun. Using PVS for Modeling and Verification of Probabilistic Connectors. 8th International Conference on Fundamentals of Software Engineering (FSEN), May 2019, Tehran,
Iran. pp.61-76, 10.1007/978-3-030-31517-7_5. hal-03769138 M. Saqib Nawaz, Meng Sun. Using PVS for Modeling and Verification of Probabilistic Connectors.
8th International Conference on Fundamentals of Software Engineering (FSEN), May 2019, Tehran,
Iran. pp.61-76, 10.1007/978-3-030-31517-7_5. hal-03769138 Distributed under a Creative Commons Attribution 4.0 International License Using PVS for Modeling and Verification of
Probabilistic Connectors M. Saqib Nawaz and Meng Sun LMAM & Department of Informatics, School of Mathematical Sciences,
Peking University, Beijing, China
{msaqibnawaz, sunm}@pku.edu.cn Abstract. Reo is a channel-based coordination language that allows
the construction of connectors to coordinate behavior among different
components in distributed systems. Probabilistic connectors in Reo cap-
ture the random and probabilistic behavior to deal with the uncertainty
of the real world. In this paper we use PVS to provide a mechanical
formalization for probabilistic connectors. We first present the formal-
ization of random/probabilistic channels and the composition operators
in PVS. Random and probabilistic channels are modeled as relations on
timed data distribution sequences that are observed at the source and
sink ends of these channels. Composition operators are used to com-
bine random/probabilistic channels together with primitive channels to
construct complex component connectors. The approach can be used to
naturally specify complex connectors and prove important properties for
probabilistic connectors as well as the refinement/equivalence relations
between them with the PVS proof assistant. Keywords: Reo, PVS, Random/probabilistic connectors, Specification,
Verification. HAL Id: hal-03769138
https://inria.hal.science/hal-03769138v1
Submitted on 5 Sep 2022 L’archive ouverte pluridisciplinaire HAL, est
destinée au dépôt et à la diffusion de documents
scientifiques de niveau recherche, publiés ou non,
émanant des établissements d’enseignement et de
recherche français ou étrangers, des laboratoires
publics ou privés. HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished or not. The documents may come from
teaching and research institutions in France or
abroad, or from public or private research centers. Distributed under a Creative Commons Attribution 4.0 International License This document is the original author manuscript of a paper submitted to an IFIP
conference proceedings or other IFIP publication by Springer Nature. As such, there
may be some differences in the official published version of the paper. Such
differences, if any, are usually due to reformatting during preparation for publication or
minor corrections made by the author(s) during final proofreading of the publication
manuscript. This document is the original author manuscript of a paper submitted to an IFIP
conference proceedings or other IFIP publication by Springer Nature. As such, there
may be some differences in the official published version of the paper. Such
differences, if any, are usually due to reformatting during preparation for publication or
minor corrections made by the author(s) during final proofreading of the publication
manuscript. 1
Introduction Large-scale distributed systems, that are generally transparent and heteroge-
neous in nature, are built from components that interact with each other to per-
form some specific tasks. Coordination languages offer possible binding for com-
ponents in a distributed environment to make the interactions possible. Reo [2,8]
is a popular exogenous coordination language where exogenous coordination [1]
means that the primitives that support the coordination of an entity with others
reside outside of that entity. Reo allows the orchestration of complex connectors
from simple ones (called channels) through composition operators. Connectors in Reo provide the protocols for controlling and organizing the
communication, synchronization and cooperation among the components that
they interconnect. Formal analysis and verification of connectors have gained
much interest in the past decade for component-based software engineering due
to the recent evolution of software systems and advancements in cloud and grid
technologies. It is also important to certify the correctness of connectors, which M. S. Nawaz and M. Sun 2 makes large-scale distributed systems more reliable. Some works have been done
in this regard in the past years. For example, a modeling approach based on
first-order relational logic in Alloy modeling language was provided in [14] for
Reo connectors. The symbolic model checker “Vereofy” has been developed in [6]
to verify CTL-like properties for connectors. Moreover, a formal transformation
from Reo to the specification language mCRL2 that is based on process alge-
bra was presented in [15]. The models were then verified conveniently with the
mCRL2 model checker. Complex distributed systems need to incorporate many aspects of the com-
munication and coordination between components, such as nondeterminism,
probabilistic and stochastic interactions, real-time information and resource con-
sumption, etc. The works reported in [3–5,9,12,17,22] extend classical Reo from
different perspective to deal with such requirements. The Unifying Theories of
Programming (UTP) semantic framework was used in [21,23] to formalize con-
nectors by providing design models for untimed and timed Reo connectors re-
spectively, and recently extended in [24] to cover connectors that are composed
from channels with random and probabilistic behavior. The theorem proving
technique has been used in [18] to encode and reason about the design mod-
els for untimed/timed Reo connectors in PVS [19]. In this paper, we extend
the approach to cover the formalization for Reo connectors with random and
probabilistic behavior. 1
Introduction The basic idea is to model the observable behavior of a
probabilistic connector as a relation on the timed data distribution sequences
being observed at the source (input) and sink (output) ends of the connector. The extended approach covers the scenarios for unpredictable, uncertain be-
havior. Furthermore, the refinement/equivalence relations between probabilistic
connectors can be formalized and verified in PVS easily. Our mechanized verification for probabilistic analysis of connectors is cer-
tainly not the first one. A variant of constraint automata called probabilistic
constraint automata (PCA) has been developed in [5] to provide the operational
semantics for probabilistic Reo connectors. Stochastic Reo automata was pro-
posed in [17] to compositionally derive a QoS-aware semantics for Reo. The
automata model was translated to Continuous-Time Markov Chains (CTMCs)
so that third-party verification tools can be used for stochastic analysis. Simi-
larly, priced probabilistic timed constraint automata (pPTCA) was used in [12]
for the reasoning about nondeterministic, probabilistic and timed behavior with
aspects of energy consumption. Reo was also used in [7] to coordinate modules
in the PRISM model checker. Although such formalisms scale up quite well,
they suffer from the state space explosion problem as Reo connectors generally
describe the manifold interactions among components that they interconnect,
rather than simple input-output behavior on one individual interface. Moreover,
the modeling and verification of unbounded primitives or even bounded prim-
itives with unbounded data domains always lead to the state space explosion
problem, which cannot be solved with such finite automata models. However,
such behavior can be specified and verified efficiently in theorem provers as
shown in our previous works [13,18,25,26]. 3 Using PVS for Modeling and Verification of Probabilistic Connectors Using PVS for Modeling and Verification of Probabilistic Connectors Using PVS for Modeling and Verification of Probabilistic Connectors Modeling and Verification of Probabilistic Connector The remainder of the paper is organized as follows: The coordination lan-
guage Reo is briefly introduced in Section 2. In Section 3, we present the specifica-
tions in PVS for some basic definitions that are used later to model random/prob-
abilistic channels. Section 4 presents the formal modeling of random/probabilis-
tic channels and composition operators in PVS. Section 5 shows how to reason
about properties of probabilistic connectors in PVS and refinement/equivalence
relations between them. Finally, Section 6 concludes the paper with some future
work. The PVS dump file for this work can be found at [20]. 2
Preliminaries Reo offers a compositional framework where component connectors can be con-
structed from primitive channels of arbitrary types through composition opera-
tors. Connectors provide the protocol for controlling and organizing the commu-
nication, synchronization and cooperation between components. Each channel
has two channel ends, with one of two types: source and sink. A source end
provides input values to the channel via write actions and a sink end dispenses
data out of the channel with read actions. A channel’s ends can also be both
sinks or both sources. Figure 1 shows few primitive channel types in Reo. Sync
Channel
LossySync
Channel
FIFO1
Channel
SyncDrain
Channel
t-Timer
Channel
t
Fig. 1. Some primitive channels in Reo Fig. 1. Some primitive channels in Reo A synchronous (Sync) channel has one source and one sink end. Input/Out-
put (I/O) operations can succeed only if the writing and reading operation is syn-
chronized at source and sink end respectively. A lossy synchronous (LossySync)
channel is a variant of the Sync channel. Data items in LossySync are transferred
successfully if the write operation on the source end and the read operation on
the sink end occur simultaneously, otherwise the data items are lost. A FIFO1
channel has one buffer cell of capacity 1, one source end and one sink end. FIFO1
accepts a data item whenever the buffer is empty. After accepting a data item
from the source end, it is first stored in the buffer and dispensed out of the
channel through the sink end later in the FIFO order. The synchronous Drain
(SyncDrain) channel is used for synchronizing the writing operations at its two
source ends. It has no sink end and all written data items are lost. A t-timer
channel accepts any data item at its source end and produces a timeout signal
on its sink end after a delay of t time units. Further details on Reo and primitive
untimed/timed channels can be found in [2, 3, 21, 23]. Furthermore, users can
specify new channel types with their own requirements and interaction policies
in Reo. For example, several probabilistic and stochastic extensions of Reo have
been proposed in [5,9,16]. A connector can be depicted visually as a graph with some additional infor-
mation. The nodes represent sets of the channel ends and the edges represent the 4 M. S. Nawaz and M. Sun established channels between the nodes. 2
Preliminaries Nodes can be categorized into source,
sink or mixed nodes, depending on whether the node contains only source chan-
nel ends, sink channel ends, or both. Therefore, source nodes are analogous to
input ports and sink nodes to output ports. Data that flow through source and
sink nodes depends on the pending write and read operations of the environ-
ment. For channel composition, three types of operators are used, which are (1)
flow-through, (2) replicate and (3) merge, as shown in Figure 2. Fig. 2. Operators for channel composition Fig. 2. Operators for channel composition Time: Type = posreal 3
Basic Definitions in PVS Time: Type = posreal 5 Using PVS for Modeling and Verification of Probabilistic Connectors Data: TYPE [T -> real] Data: TYPE [T -> real] dfs?(F:[real->probability]):bool = EXISTS X: FORALL x: F(x) = P(X <= x)
df: TYPE+ = (dfs?) CONTAINING (LAMBDA x: IF x < 0 THEN 0 ELSE 1 ENDIF) dfs?(F:[real->probability]):bool = EXISTS X: FORALL x: F(x) = P(X <= x)
df: TYPE+ = (dfs?) CONTAINING (LAMBDA x: IF x < 0 THEN 0 ELSE 1 ENDIF) DD: TYPE = [Data, df]
TDD: TYPE = [# T: sequence[Time],
D: sequence[DD] #] DD: TYPE = [Data, df] DD: TYPE = [Data, df] TDD: TYPE = [# T: sequence[Time],
D: sequence[DD] #] TDD: TYPE = [# T: sequence[Time],
D: sequence[DD] #] Input, Output: VAR TDD Input, Output: VAR TDD Input, Output: VAR TDD A TDD is a record structure type that has two components: T and D. The T
component is a sequence of time points being used to represent the time when
the data in the D component is observed. The D component is a sequence of
data distributions. The Input and Output are declared as variables of type TDD. The components of a record type can be accessed through the corresponding
field name. For example in our case, the T component of Input is accessed by
Input‘T. Since the type of component T in TDD is defined as sequence[Time], we
have to define the operators “<” and “>” for sequences of times. A strict order
(that is both transitive and irreflexive) is assumed for “<” and “>”. The type
system of PVS is not algorithmically decidable and may lead to proof obligations
called type correctness conditions (TCCs). Defining “<,>” for sequence of time
generated two TCCs. Proof steps for these two TCCs can be found at [20]. <: (strict_order?[sequence[Time]]) >: (strict_order?[sequence[Time]]) = >: (strict_order?[sequence[Time]]) =
LAMBDA (s1, s2: sequence[Time]): s2 < s1 >: (strict_order?[sequence[Time]]) =
LAMBDA (s1, s2: sequence[Time]): s2 < s1 LAMBDA (s1, s2: sequence[Time]): s2 < s1 Some more functions and predicates are used in PVS for concise modeling of
probabilistic channels and composition operators. For example, Teq returns true
if the time of two sequences are exactly equal to each other. Tle (Tgt) represents
that time of the first sequence is strictly less (greater) than the second sequence. next(T1): TDD = T1 WITH [T:=(suffix(T1‘T, 1)),
D:=(suffix(T1‘D, 1))] 3
Basic Definitions in PVS The behavior of untimed and timed connectors are formalized by modeling their
observable behavior as relations on the timed data sequences at their sink and
source nodes. For random and probabilistic behavior, sequences of data dis-
tributions where the data passes through connector nodes together with the
time moments for data items observation emerges as the key building block to
properly describe the connectors. Therefore, the observation on nodes can be
specified naturally as timed data distribution (TDD) sequences for connectors
that behaves probabilistically or randomly. The PVS library for probability [10] and some pre-defined functions from
PVS prelude are used in the modeling of random and probabilistic channels. The
probability library is built on the firm foundations for probability theory [11]. Based on a σ-algebra, probability measure and probability space, the distribution
function (df) for a real-valued random variable X is defined in PVS. We are
interested in the cumulative distribution function (CDF) of a random variable. To deal with continuous random variable, we would partially instantiate the
sample space T with real, σ-algebra with borel_set (borel sets) and specify the
probability measure to describe the distributions for random variable. A record structure in PVS is used to represent the TDD sequences on the
sink and source nodes, where time is defined as a positive real number (R+),
which is natural and expressive enough for the modeling of connector behavior. For untimed/timed channels, data is defined as a positive type. To capture the
probabilistic behavior, data is defined as a function of type [ T →real ] (where
T is a positive (non-empty) type). With such a kind of functions, other abstract
sets of data can be processed first by mapping them to a set of real numbers in
an appropriate way. Moreover, such mapping for data can be expanded easily
in accordance with different application domains. The data distribution DD is
defined as a Cartesian product with square brackets [_, _] in PVS. 4
Probabilistic Channels and Operators The modeling of some basic probabilistic/random channels and composition op-
erators that are used to construct probabilistic connectors is presented in this
section. 3
Basic Definitions in PVS Deq (Dneq) shows the equality of data: data sequence at one end is equal (not
equal) to data sequence at the other end. For primitive (untimed) channels,
the time of input sequence is a simulation of real time which means that time
sequence is increasing as time passes by. For probabilistic connectors including
timed channels, some more predicate formulas are defined in a similar way. For
example, Tltt (Tgtt) represents that the time of the first sequence with a delay t
is less (greater) than the second sequence. And the next function takes a TDD
and returns the derivative of the sequence. Suffix function that is used in the
next function is used to return a suffix sequence and its definition can be found
in the prelude library of PVS. M. S. Nawaz and M. Sun 6 A
rand(0,1)
B RSync: Randomized synchronous channel (A
rand(0,1)
−−−−→B) is the randomized vari-
ant of synchronous channel. When the channel is activated through an arbitrary
write operation at source node A, it generates a random number b ∈{0, 1} at sink
node B. Sink node synchronously takes the random number with equal probabil-
ity for 0 (zero) and 1 (one). In RSync, zero and one are declared as random vari-
ables. Their specifications generated two TCCs for expected type random vari-
able, which is proved interactively with the PVS theorem prover. To prove both
TCCs, we used already defined judgment constant_is_measurable in the mea-
sure space definition theory that can be found in the library measure_integration. The proofs for both TCCs are omitted here because of the page limitation and
can be found at [20]. RSync is specified as follows: zero: random_variable = (LAMBDA t: 0)
one:
random_variable = (LAMBDA t: 1)
RSync(Input, Output): bool = FORALL(n:nat):
Output‘D(n) = (zero, oah) OR
Output‘D(n) = (one, oah) &
Teq(Input, Output) zero: random_variable = (LAMBDA t: 0)
one:
random_variable = (LAMBDA t: 1)
RSync(Input, Output): bool = FORALL(n:nat):
Output‘D(n) = (zero, oah) OR
Output‘D(n) = (one, oah) &
Teq(Input, Output) zero: random_variable = (LAMBDA t: 0)
one:
random_variable = (LAMBDA t: 1)
RSync(Input, Output): bool = FORALL(n:nat):
Output‘D(n) = (zero, oah) OR
Output‘D(n) = (one, oah) &
Teq(Input, Output) The universal quantification and the first disjunction capture the random be-
havior being observed at the sink node. Each data element in the TDD sequence
at the sink node can be either zero or one with probability oah, which is defined
as: 4.1
Random and Probabilistic Channels The behavior of probabilistic/random channels are specified in PVS with the
disjunction or conjunction of different predicates and constraints on the TDD
sequences at source and sink nodes. We consider one random channel, randomized
synchronous channel, and four probabilistic channels: message-corrupting syn-
chronous channel, probabilistic lossy synchronous channel, faulty FIFO1 channel
and lossy FIFO1 channel. oah(x): probability = 1/2 The synchronous behavior for this channel is satisfied with the predicate Teq,
which shows that the time for the occurrence of data elements being observed
at both channel ends are equal. 7 Using PVS for Modeling and Verification of Probabilistic Connectors Using PVS for Modeling and Verification of Probabilistic Connectors Modeling and Verification of Probabilistic Connector CSync: Message corrupting synchronous channel (A −−
p→B) is the probabilis-
tic variant of synchronous channel, where with probability p, the delivered mes-
sage can be corrupted. In such a channel, if a data element is written to the
source end, then the probability that the exact correct data value will be ob-
tained at the sink end is 1−p. A corrupted data value, represented with c in the
specification, will be obtained with probability p. CSync(Input, Output)(p:probability):
INDUCTIVE bool = (Output‘T(0) = Input‘T(0) &
Output‘D(0) = (Input‘D(0)‘1,(1-p)*Input‘D(0)‘2))
OR (EXISTS(c:Data): Output‘D(0) = (c,(p)*Input‘D(0)‘2)
& CSync(next(Input), next(Output))(p)) The CSync channel is defined inductively. Inductive definitions in PVS, which
are predicates with eventual range type boolean, are similar to recursive defini-
tions as both involve induction and must satisfy some constraints to guarantee
that they are total. The first formula is for the time equality constraint for the
synchronous behavior. We can also model the first constraint with Teq predi-
cate. The second and third formula with the disjunction reflects the probabilistic
behavior. The sink node receives the same data that was written at the source
node with the updated probability, where 1−p is multiplied with the probability
for data at source node. On the other hand, sink node receives the corrupted
value (c) with probability p multiplied with the probability for the written data. The last formula is for the recursive step that channel takes. PLSync: In the probabilistic lossy synchronous channel (A
q
−−→B), the trans-
mission of the message from the source to sink fails with probability q. And with
probability 1 −q, PLSync acts like a standard Sync channel where the message
is successfully transmitted from the source end to the sink end. oah(x): probability = 1/2 In PVS, the
PLSync channel is modeled as follows: PLSync(Input, Output)(q:probability):
INDUCTIVE bool = (Output‘T(0) = Input‘T(0) &
Output‘D(0) = (Input‘D(0)‘1,(1-q)*Input‘D(0)‘2)
& PLSync(next(Input), next(Output))(q)) &
(Output‘D(0)‘2 = (q)*Input‘D(0)‘2 => PLSync(next(Input),Output)(q)) PLSync(Input, Output)(q:probability):
INDUCTIVE bool = (Output‘T(0) = Input‘T(0) &
Output‘D(0) = (Input‘D(0)‘1,(1-q)*Input‘D(0)‘2)
& PLSync(next(Input), next(Output))(q)) &
(Output‘D(0)‘2 = (q)*Input‘D(0)‘2 => PLSync(next(Input),Output)(q)) The PLSync channel is defined inductively but unlike CSync, it may take
two different routes in each step. Three conjuncted formulas are for the case
when the data is successfully received by the sink end. First formula satisfies the
time constraint that ensures the synchronous behavior. Second formula reflects
that the data item is received by the sink end with probability 1 −q multiplied
to the probability for that data at the source end. The third formula is the re-
cursive step that channel takes when a data is transmitted successfully. For the
case when the transmitted data is lost, the recursive behavior of the channel is
reflected by the last two formulas with implication between them. In such case, M. S. Nawaz and M. Sun 8 no data is obtained at the sink end. FFIFO1: Faulty FIFO1 channel (A
r· · ·<=→B) is a probabilistic variant of FIFO1
channel, that might loose (with probability r) the message when it is inserted
into the buffer and the buffer remains empty. It can also behave as a normal
FIFO1 channel where the insertion of the data into the buffer is successful with
probability 1 −r. FFifo(Input, Output)(r:probability):
INDUCTIVE bool = (Output‘T(0) > Input‘T(0) &
Output‘T(0) < Input‘T(1) & Output‘D(0) =
(Input‘D(0)‘1, (1-r)*Input‘D(0)‘2) &
FFifo(next(Input), next(Output))(r)) &
(Output‘D(0)‘2 = (r)*Input‘D(0)‘2 => FFifo(next(Input), Output)(r)) The FFIFO1 channel is also defined inductively and like PLSync, it may take
two different routes in each step. For the case when data written at source end is
inserted successfully into the buffer, the channel should satisfy four constraints
which are specified with the conjunction of four predicates. The first two formulas
are for the time constraints, where the first formula is for the time delay between
data at source and sink ends. As FIFO1 has a buffering capacity of 1, next data
item waits till the current data item in the buffer is taken out at the sink end. oah(x): probability = 1/2 This is specified with the second formula that the time of the next data item
is greater than the time for the current data item in the buffer. The last two
formulas are for the recursive behavior that channel takes when the written data
is lost before its insertion in the buffer. Like PLSync, no data is received at the
sink end in such case. LFIFO1: Another probabilistic variant called lossy FIFO channel (A−−<=
r
99KB)
might loose each stored data item with some fixed probability (r) in any step. Compared to FFIFO1, this channel may loose the data in the process of taking
the data from the buffer. As channels are modeled by the relations between
observations on source and sink ends, therefore, the specifications for LFIFO1
and FFIFO1 are same. With this modeling approach, we can easily adjust the specifications for un-
timed and timed channels in a proper way, where the observations on source
and sink ends of all channels are specified by TDD sequences. Then the prob-
abilistic/random channels as well as untimed/timed channels can be combined
together to build connectors. A connector is probabilistic if it constitutes at least
one probabilistic or random channel. Using PVS for Modeling and Verification of Probabilistic Connectors Using PVS for Modeling and Verification of Probabilistic Connectors Modeling and Verification of Probabilistic Connector The flow-through operator simply allows the data items to pass through
mixed node(s) without any change. A component connected to a connector can
write data items at source node and can obtain data items from the sink node. The replicate operator puts the source ends of different channels together into
one source node. A write operation by a component on source node succeeds
only if all coinciding channels ends accept the data item. The behavior of flow-
through and replicate operators does not depend on the context of the data-flow. The approach for the modeling of these two operators in [18] can be adopted
here without any change. The structure of connectors allow us to specify both
operators implicitly by means of nodes renaming and conjunction instead of
writing a new function. This is explained with simple examples. For two channels PLSync(A, B) and
FIFO1(B, C), the flow-through operator acting on node B is implemented al-
ready. For two channels PLSync(A, B) and FIFO1(C, D), the replicate operator
can be implemented explicitly by renaming the C with A for the FIFO1 channel. Using conjunction and node renaming for these two operators make it possible
to specify connectors directly as lemmas and theorems. Unlike flow-through and replicate, the merge operator depends on the con-
tent of the data-flow. The time and data dimension is same for TD and TDD
sequences, which means that these two dimensions do not need any change. As
we are dealing with data distribution, so the equality relation for data is changed
to the equality relation on data distribution. Thus, both data items and their
associated probabilities should be equal. Using PVS for Modeling and Verification of Probabilistic Connectors Merge is modeled as follows in PVS: Merge(s1,s2,s3:TDD): INDUCTIVE bool =
(NOT s1‘T(0) = s2‘T(0)) & (s1‘T(0) < s2‘T(0) => s3‘T(0) = s1‘T(0) &
s3‘D(0) = s1‘D(0) & Merge(next(s1),s2,next(s3))) & (s1‘T(0) > s2‘T(0)
=> s3‘T(0) = s2‘T(0) & s3‘D(0)= s2‘D(0) & Merge(s1,next(s2),next(s3))) Merge(s1,s2,s3:TDD): INDUCTIVE bool =
(NOT s1‘T(0) = s2‘T(0)) & (s1‘T(0) < s2‘T(0) => s3‘T(0) = s1‘T(0) &
s3‘D(0) = s1‘D(0) & Merge(next(s1),s2,next(s3))) & (s1‘T(0) > s2‘T(0)
=> s3‘T(0) = s2‘T(0) & s3‘D(0)= s2‘D(0) & Merge(s1,next(s2),next(s3))) Merge(s1,s2,s3:TDD): INDUCTIVE bool =
(NOT s1‘T(0) = s2‘T(0)) & (s1‘T(0) < s2‘T(0) => s3‘T(0) = s1‘T(0) &
s3‘D(0) = s1‘D(0) & Merge(next(s1),s2,next(s3))) & (s1‘T(0) > s2‘T(0)
=> s3‘T(0) = s2‘T(0) & s3‘D(0)= s2‘D(0) & Merge(s1,next(s2),next(s3))) The modeling approach provided in this section for probabilistic/random
channels and composition operators can be used to construct different proba-
bilistic connectors according to their topological orders. 4.2
Operators Compositional operators can be applied on channels in various topological order
for the construction of complex connectors. As already discussed in Section 2,
there are three kinds of composition operators: (1) flow-through, (2) replicate
and (3) merge. 9 5
Reasoning After connectors modeling, we can analyze and prove their properties. In this sec-
tion, some examples are provided for the reasoning about probabilistic/random
connectors as well as the refinement and equivalence relations between them. Example 1. Figure 3 shows a probabilistic Reo connector that distributed com-
ponents can use for message communication. Component 1 can deliver its mes-
sages to the connector via connecting to node in, while component 2 is connected
to the node out to obtain the message from the connector. Messages are trans-
mitted from component 1 to component 2 with FFIFO1 channel (AB). Other
primitive channels (Sync, SyncD, FIFO1, LossySync) are organized in the con-
nector to repeat component 1 message as often as necessary. The property that
component 2 almost surely obtain the message via out from in is established
with the following theorem in PVS. 10
M. S. Nawaz and M. Sun
Fig. 3. A probabilistic Reo connector
Theorem 1. Sync(in,D) & Sync(in,C) & Sync(C,A) & Fifo1(C,E) &
Fifo1(E,F) & LSync(C,D)(n) & LSync(F,C)(n) & FFifo(A,B)(r) &
Fifo1(D,H) & Sync(H,G) & SyncD(G,B) & Sync(G,E) & Sync(B,out)
=> out‘D(0)‘1 = in‘D(0)‘1 & Tle(in,out) 10
M. S. Nawaz and M. Sun
Fig. 3. A probabilistic Reo connector M. S. Nawaz and M. Sun
Fig. 3. A probabilistic Reo connector M. S. Nawaz and M. Sun 10 Fig. 3. A probabilistic Reo connector Theorem 1. Sync(in,D) & Sync(in,C) & Sync(C,A) & Fifo1(C,E) &
Fifo1(E,F) & LSync(C,D)(n) & LSync(F,C)(n) & FFifo(A,B)(r) &
Fifo1(D,H) & Sync(H,G) & SyncD(G,B) & Sync(G,E) & Sync(B,out)
=> out‘D(0)‘1 = in‘D(0)‘1 & Tle(in,out) Proof. Mathematical induction is used to prove theorem 1. After applying in-
duction on n, main goal is split into two sub-goals. The first sub-goal is for the
base case and the other one is for the inductive case. Proof. Mathematical induction is used to prove theorem 1. After applying in-
duction on n, main goal is split into two sub-goals. The first sub-goal is for the
base case and the other one is for the inductive case. For the base case, the antecedent formula is simplified by creating a free
skolem variable and removing implies. The definitions of channels and predi-
cates are expanded. Some irrelevant formulas in the antecedent are suppressed
with the hide command. The sub-goal is divided into two more sub-goals: one
for the data dimension and other for the time dimension. 5
Reasoning Both sub-sub-goals are
proved with PVS proof commands and decision procedures. For the inductive case, the sequent formula is first simplified with repeated
skolemization and flattening. In the first antecedent formula, the universal quan-
tifiers are instantiated automatically with inst? commands. Sometimes a single
inst? can only find a partial instantiation where successive invocations of inst? can succeed in fully instantiating all of the quantified variables. The rest of the
proof is similar to the base case, where the sub-goal is split to two more sub-
goals for data and time dimension. The detailed PVS proof for theorem 1 can
be found at [20]. The notion of refinement has been adopted widely in development of complex
systems. Refinement relation provides guarantee for the correctness of implemen-
tation with respect to the abstract specification of the same system, and thus
helps in bridging the gap between requirements and the final implementations. Here, we use the refinement relation for connectors defined in [23], where the
refinement order over connectors is established on the basis of the implication
relation of predicates. As discussed already, connectors are represented by con-
junction of a set of predicates, where the variables are bound by the universal
and existential quantification. Let C1 and C2 represent two connectors that are
modeled by set of predicates. C2 is a refinement of C1 only if C2 →C1, meaning
the behavioral properties of C1 can be derived from the properties of C2. C2
properties are regarded as hypothesis and the properties of connector C1 as con-
clusion. The refinement relation between C1 and C2 is denoted as C1 ⊑C2. Next,
we provide an example for refinement relation between probabilistic connectors. Using PVS for Modeling and Verification of Probabilistic Connectors 11 Example 2 (Refinement). For the two connectors shown in Figure 4, connector
P is a refinement of connector Q (Q ⊑P). rand(0,1 )
rand(0,1 )
rand(0,1 )
rand(0,1 )
A
D
B
C
A
B
C
E
F
Connector P
Connector Q
Fig. 4. Connectors refinement example Example 2 (Refinement). For the two connectors shown in Figure 4, connector
P is a refinement of connector Q (Q ⊑P). rand(0,1 )
rand(0,1 )
rand(0,1 )
rand(0,1 )
A
D
B
C
A
B
C
E
F
Connector P
Connector Q
Fig. 4. Connectors refinement example Fig. 4. 5
Reasoning Connectors refinement example Given arbitrary input TDD sequence at node A and output TDD sequences
at nodes B and C, connector P is a refinement of another connector Q only
if the behavior property of Q can be derived from the connector P property. In connector Q, the outputs are not synchronized and data is received asyn-
chronously by the sink ends B and C respectively. There is no constraints on
the relationship between the time sequence of the two output events. On the
other hand, P refines the behavior of Q by synchronizing the two sink nodes,
which ensures that the two output events must happen simultaneously. We use
a, b, c to denote the time sequence at nodes A, B and C respectively. Let d
denotes the random number d ∈{0, 1}, that ranges over all data items. Let β, γ
represent the data sequence being observed at sink nodes B and C respectively. Probabilistic connector P satisfies the condition a < b ∧a < c ∧b = c ∧β = d∗
∧γ = d∗. Whereas, Q satisfies a < b ∧a < c ∧β = d∗∧γ = d∗. The refinement
relation between Q and P is verified with following theorem. Theorem 2. ∀(A,B,C:TDD):
(∃(D:TDD): Fifo1(A,D) & RSync(D, B) & RSync(D,C)) ⇒(∃
(E,F:TDD): (Fifo1(A,E) & RSync(E,B)) & (Fifo1(A,F) &
RSync(F,C))) Proof. The first suitable formula in the sequent (∀/∃A, B, C : TDD) is replaced
to TDD[A!1/A1, B!1/B1, C!1/C1] by creating three skolem constants. Implies
is removed from consequent with flattening. Now we have one existentially
quantified formula in both antecedent and consequent. Quantified formula in an-
tecedent is reduced by automatic introduction of skolem constant with skolem! command. In consequent, we need to find the TDD sequences that specify the
data flow through mixed nodes E and F for connector Q. In other words, we
need to find an appropriate E and F that satisfies (Fifo1(A, E) ∧RSync(E, B))
∧(Fifo1(A, F) ∧RSync(F, C)). With (inst 1 “D!1” “D!1”), the first formula
in consequent is instantiated where both E and F are substituted with D!1. Antecedent is divided into three formulas by removing logical &’s. Finally, the
formula in the consequent is split into four sub-goals. All four sub-goals are
trivially true and PVS proved those sub-goals automatically with propax propo-
sitional axioms. PVS proof tree for theorem 2 is shown in Figure 5. 12 M. S. 5
Reasoning Nawaz and M. Sun (skolem!)
(skolem * ("A!1""B!1""C!1"))
(flatten)
(split)
(propax)
(propax)
(flatten)
(propax)
(propax)
(inst 1 "D!1" "D!1")
Fig. 5. Proof tree for connectors refinement proof Fig. 5. Proof tree for connectors refinement proof Generally, an equivalence relation is defined as a binary relation that holds
the reflexivity, symmetric as well as transitivity properties. The equivalence re-
lation between two connectors C1 and C2 is defined with mutual refinement: C1 ≡C2
iff
C1 ⊑C2 ∧C2 ⊑C1 Here, the equivalence relation is represented with implications that goes both
ways, such as C2 ↔C1. Example 3 (Equivalence). Figure 6 shows two probabilistic connectors that are
constructed by composing five channels RSync, FIFO1, t-Timer, SyncD and
Sync in different topological orders. Both probabilistic connectors are equivalent
(R1 ↔R2), which is proved in PVS. A
R1
E
rand(0,1 )
t
D
C
t
C
rand(0,1 )
B
A
D
E
B
R2
Fig. 6. Connectors equivalence example R1 Fig. 6. Connectors equivalence example The three untimed (Sync, SyncD and FIFO1) channels and one timed chan-
nel (t-Timer) can be combined together to make a timed connector known as
tFIFO1, that was also studied in [13]. In a primitive FIFO1 channel, the data
distributions for the sequences at sink and source nodes are same with arbitrary 13 Using PVS for Modeling and Verification of Probabilistic Connectors time delay. On the other hand, the time delay is fixed by the parameter t in
tFIFO1. Here, we call the tFIFO1 a sub-connector and is modeled as: time delay. On the other hand, the time delay is fixed by the parameter t in
tFIFO1. Here, we call the tFIFO1 a sub-connector and is modeled as: Tfifo(A, B)(t:Time)(d:Data): bool =
EXISTS (R,S:TDD): Fifo1(A, R) & SyncD(R, S)
& Timert(A, S)(t)(d) & Sync(R, B) Tfifo(A, B)(t:Time)(d:Data): bool =
EXISTS (R,S:TDD): Fifo1(A, R) & SyncD(R, S)
& Timert(A, S)(t)(d) & Sync(R, B) In general, the connectors build from same set of sub-connectors in commu-
tative orders are not equivalent as the configuration of connectors do not satisfy
the commutative law. However, connectors R1 and R2 are equal for the above
example. Unlike the general approach that we adopted previously to construct a con-
nector from basic channels, connectors R1 and R2 are composed by connecting
the tFIFO1 sub-connector with the RSync channel in different topological order. 6
Conclusion The formalization approach for untimed/timed Reo connectors in PVS is ex-
tended in this paper to model and reason about probabilistic/random connec-
tors that are constructed from channels with random and probabilistic behavior. Probabilistic/random channels are modeled as relations on TDD sequences being
observed at the source and sink nodes. Untimed/timed channels specifications
are adjusted accordingly from TD sequences to TDD sequences. The specifi-
cations for probabilistic/random channels generated seven TCCs in total. Two
TCCs are proved automatically by the prover and five are proved interactively. With formalised compositional operators and channels, complex connectors are
modeled and their properties as well as the refinement and equivalence relation
between them are proved with the help of PVS proof-commands, inference rules
and decision procedures. For future work, we would like to add more complex probabilistic and stochas-
tic constraints in the connectors and reason about them. We also plan to extend
the formalization approach further to deal with hybrid connectors, QoS (Quality
of Service) and resource consumption aspects on connectors. Acknowledgement. The work has been supported by the National Natural Sci-
ence Foundation of China under grant no. 61772038, 61532019 and 61272160, and
the Guandong Science and Technology Department (Grant no. 2018B010107004). 5
Reasoning The main reason to use the reduced method (where a sub-connector is combined
with a channel) for connectors construction is to make the proof process simpler
and easier to understand. The equivalence relations between a channel linked
with a sub-connector in different positions are first proved as lemmas. Lemma 1. ∀(A,B:TDD)(t:Time)(d:Data):
∃(E:TDD): RSync(A,E) & Tfifo(E,B)(t)(d) <=> RSync(A,E) & ∃
(C,D:TDD): Fifo1(E,D) & SyncD(D,C) & Timert(E,C)(t)(d) &
Sync(D,B) Lemma 1. ∀(A,B:TDD)(t:Time)(d:Data):
∃(E:TDD): RSync(A,E) & Tfifo(E,B)(t)(d) <=> RSync(A,E) & ∃
(C,D:TDD): Fifo1(E,D) & SyncD(D,C) & Timert(E,C)(t)(d) &
Sync(D,B) Lemma 1. ∀(A,B:TDD)(t:Time)(d:Data):
∃(E:TDD): RSync(A,E) & Tfifo(E,B)(t)(d) <=> RSync(A,E) & ∃
(C,D:TDD): Fifo1(E,D) & SyncD(D,C) & Timert(E,C)(t)(d) &
Sync(D,B) Lemma 1 shows the equivalence relation between the reduced construction of
a connector and a connector constructed from basic channels for R1. Similarly
for R2, another lemma is provided. Lemma 2. ∀(A,B:TDD)(t:Time)(d:Data):
∃(E:TDD): Tfifo(A,E)(t)(d) & RSync(E,B) <=> ∃(C,D:TDD):
Fifo1(A,D) & SyncD(D,C) & Timert(A,C)(t)(d) & Sync(D,E) &
RSync(E,B) Lemma 2. ∀(A,B:TDD)(t:Time)(d:Data):
∃(E:TDD): Tfifo(A,E)(t)(d) & RSync(E,B) <=> ∃(C,D:TDD):
Fifo1(A,D) & SyncD(D,C) & Timert(A,C)(t)(d) & Sync(D,E) &
RSync(E,B) The main goal of equivalence relation between R1 and R2 is proved with
following theorem: Theorem 3. ∀(A,B:TDD)(t:Time)(d:Data):
∃(E:TDD): RSync(A, E) & Tfifo(E,B)(t)(d) <=>
∃(R:TDD): Tfifo(A,R)(t)(d) & RSync(R,B) Theorem 3. ∀(A,B:TDD)(t:Time)(d:Data):
∃(E:TDD): RSync(A, E) & Tfifo(E,B)(t)(d) <=>
∃(R:TDD): Tfifo(A,R)(t)(d) & RSync(R,B) Theorem 3. ∀(A,B:TDD)(t:Time)(d:Data): Both lemmas are used to prove theorem 3 and the complete proof can be
found at [20]. It is important to point out that one of the main limitations of
using proof assistants such as PVS is that heavy user intervention is required in
the proof development. For a non-trivial theorem, the user does lots of repetitive
work to prove the theorem. For example, theorem 3 proof required repeated proof
commands to prove the main proof-goal, which is divided later into sub-goals. To avoid this, PVS offers a powerful decision procedures such as grind that can
be used to complete the proof that does not require induction and only requires
the expansion of definitions in the model and reasoning for equality, arithmetic
and quantification. M. S. Nawaz and M. Sun M. S. Nawaz and M. Sun 14 References 1. F. Arbab. The IWIM model for coordination of concurrent activities. In Pro-
ceedings of COORDINATION 1996, volume 1061 of LNCS, pages 34–56. Springer,
1996. 2. F. Arbab. Reo: A channel-based coordination model for component composition. Mathematical Structures in Computer Science, 14(3):329–366, 2004. 3. F. Arbab, C. Baier, F. S. de Boer, and J. J. M. M. Rutten. Models and tempo-
ral logical specifications for timed component connectors. Software and System
Modeling, 6(1):59–82, 2007. 4. F. Arbab, T. Chothia, R. van der Mei, S. Meng, Y. Moon, and C. Verhoef. From
coordination to stochastic models of QoS. In Proceedings of COORDINATION
2009, volume 5521 of LNCS, pages 268–287. Springer, 2009. 5. C. Baier. Probabilistic models for Reo connector circuits. Journal of Universal
Computer Science, 11(10):1718–1748, 2005. 6. C. Baier, T. Blechmann, J. Klein, S. Klüppelholz, and W. Leister. Design and
verification of systems with exogenous coordination using Vereofy. In Proceedings
of ISoLA 2010, volume 6416 of LNCS, pages 97–111. Springer, 2010. 7. C. Baier, P. Chrszon, C. Dubslaff, J. Klein, and S. Klüppelholz. Energy-utility
analysis of probabilistic systems with exogenous coordination. In It’s All About
Coordination - Essays to Celebrate the Lifelong Scientific Achievements of Farhad
Arbab, volume 10865 of LNCS, pages 38–56. Springer, 2018. 8. C. Baier, M. Sirjani, F. Arbab, and J. Rutten. Modeling component connectors in
Reo by constraint automata. Science of Computer Programming, 61:75–113, 2006. 15 Using PVS for Modeling and Verification of Probabilistic Connectors 9. C. Baier and V. Wolf. Stochastic reasoning about channel-based component con-
nectors. In Proceedings of COORDINATION 2006, volume 4038 of LNCS, pages
1–15. Springer, 2006. 10. M. Daumas and D. R. Lester. Stochastic formal methods: An application to accu-
racy of numeric software. In Proceedings of HICSS, 2007, page 262. IEEE, 2007. 11. P. R. Halmos. The foundations of probability. American Mathematical Monthly,
51(9):493–510, 1944. ( )
12. K. He, H. Hermanns, and Y. Chen. Models of connected things: On priced prob-
abilistic timed Reo. In Proceedings of COMPSAC 2017, pages 234–243. IEEE,
2017. 13. W. Hong, M. S. Nawaz, X. Zhang, Y. Li, and M. Sun. Using Coq for formal mod-
eling and verification of timed connectors. In Proceedings of Software Engineering
and Formal Methods: SEFM 2017 Collocated Workshops, Revised Selected Papers,
volume 10729 of LNCS, pages 558–573. Springer, 2018. 14. R. Khosravi, M. Sirjani, N. Asoudeh, S. Sahebi, and H. Iravanchi. References Modeling and
analysis of Reo connectors using Alloy. In Proceedings of COORDINATION 2008,
volume 5052 of LNCS, pages 169–183. Springer, 2008. 15. N. Kokash, C. Krause, and E. de Vink. Reo+mCRL2: A framework for
model-checking dataflow in service compositions. Formal Aspects of Computing,
24(2):187–216, 2012. 16. Y. Li, X. Zhang, Y. Ji, and M. Sun. A formal framework capturing real-time and
stochastic behavior in connectors. Science of Computer Programming, 177:19–40,
2019. 17. Y. Moon, A. Silva, C. Krause, and F. Arbab. A compositional semantics for
stochastic Reo connectors. In Proceedings of FOCLASA 2010, volume 30 of
EPTCS, pages 93–107, 2010. 18. M. S. Nawaz and M. Sun. Reo2PVS: Formal specification and verification of
component connectors. In Proceedings of SEKE 2018, pages 391–396. KSI Research
Inc., 2018. 19. S. Owre, N. Shankar, J. M. Rushby, and D. W. J. Stringer-Calvert. PVS sys-
tem Guide, PVS prover Guide, PVS language reference. Technical report, SRI
International, November 2001. 20. PVS dump file. Available at: github.com/saqibdola/PReo-PVS/blob/master/preo. 20. PVS dump file. Available at: github.com/saqibdola/PReo-PVS/blob/master/preo. 21. M. Sun. Connectors as designs: The time dimension. In Proceedings of TASE 2012,
pages 201–208. IEEE Computer Society, 2012. 22. M. Sun and F. Arbab. On resource-sensitive timed component connectors. In
Proceedings of FMOODS 2007, volume 4468 of LNCS, pages 301–316. Springer,
2007. 23. M. Sun, F. Arbab, B. K. Aichernig, L. Astefanoaei, F. S. de Boer, and J. Rutten. Connectors as designs: Modeling, refinement and test case generation. Science of
Computer Programming, 77(7-8):799–822, 2012. 24. M. Sun and X. Zhang. A relational model for probabilistic connectors based on
timed data distribution streams. In Proceedings of FORMATS 2018, volume 11022
of LNCS, pages 125–141. Springer, 2018. 25. X. Zhang, W. Hong, Y. Li, and M. Sun. Reasoning about connectors using Coq
and Z3. Science of Computer Programming, 170:27–44, 2019. 26. X. Zhang and M. Sun. Towards formal modeling and verification of probabilistic
connectors in Coq. In Proceedings of SEKE, 2018, pages 385–390. KSI Research
Inc., 2018.
|
https://openalex.org/W2913954080
|
https://open.library.ubc.ca/media/download/pdf/52383/1.0376259/3
|
English
| null |
Addressing the affordability of cancer drugs: using deliberative public engagement to inform health policy
|
Health research policy and systems
| 2,019
|
cc-by
| 6,955
|
RESEARCH Open Access © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. (2019) 17:17 (2019) 17:17 Bentley et al. Health Research Policy and Systems (2019) 17:17
https://doi.org/10.1186/s12961-019-0411-8 Addressing the affordability of cancer
drugs: using deliberative public
engagement to inform health policy Colene Bentley1*
, Stuart Peacock1, Julia Abelson2, Michael M. Burgess3, Olivier Demers-Payette4, Holly Longstaff5,
Laura Tripp2, John N. Lavis6 and Michael G. Wilson6 Abstract Background: Health system expenditure on cancer drugs is rising rapidly in many OECD countries given the costly
new treatments and increased rates of use due to a growing and ageing population. These factors put considerable
strain on the sustainability of health systems worldwide, sparking public debate among clinicians, pharmaceutical
companies, policy-makers and citizens on issues of affordability and equity. We engaged Canadians through a series of
deliberative public engagement events to determine their priorities for making cancer drug funding decisions fair and
sustainable in Canada’s publicly financed health system. Methods: An approach to deliberation was developed based on the McMaster Health Forum’s citizen panels and the
established Burgess and O'Doherty model of deliberative public engagement. Six deliberations were held across
Canada in 2016. Transcripts were coded in NVivo and analysed to determine where participants’ views converged and
diverged. Recommendations were grouped thematically. Results: A total of 115 Canadians participated in the deliberative events and developed 86 recommendations. Recommendations included the review and regular re-review of approved drugs using ‘real-world’ evidence on
effectiveness and cost-effectiveness; prioritisation of treatments that restore patients’ independence, mental health
and general well-being; ensuring that decision processes, results and their rationales are transparent; and commitment
to people with similar needs receiving the same care regardless of where in Canada they live. Conclusions: The next steps for policy-makers should be to develop mechanisms for (1) re-reviewing effectiveness and
cost-effectiveness data for all cancer drugs; (2) making disinvestments in cancer drugs that satisfy requirements relating
to grandfathering and compassionate access; (3) ensuring fair and equitable access to cancer drugs for all Canadians;
and (4) fostering a pan-Canadian approach to cancer drug funding decisions. Keywords: Public engagement, priority-setting, cancer, Canada Background Switzerland in terms of dollars spent on pharmaceuticals
per capita [2]. Health system expenditure on cancer drugs is rising rap-
idly in many OECD countries [1], sparking widespread
debate in the public arena, as well as among clinicians,
pharmaceutical companies and policy-makers world-
wide. In Canada, the situation is no different. The af-
fordability of cancer drugs is particularly concerning for
Canada, which is third only to the United States and Several factors are driving up expenditures on cancer
drugs, including prices for new cancer drugs increasing
dramatically [3, 4], the use of systemic therapies in more
patients [5, 6], the sharp rise in incident cases (due to,
among other reasons, patients living longer) [7, 8] and the
acceleration in the number of new cancer drugs (often
with higher daily drug costs and longer duration of treat-
ment) [9]. Together, these factors put considerable strain
on the affordability and sustainability of Canada’s publicly
financed provincial and territorial health systems. * Correspondence: cbentley@bccrc.ca
1Canadian Centre for Applied Research in Cancer Control (ARCC), 675 West
10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
Full list of author information is available at the end of the article * Correspondence: cbentley@bccrc.ca
1Canadian Centre for Applied Research in Cancer Control (ARCC), 675 West
10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
Full list of author information is available at the end of the article * Correspondence: cbentley@bccrc.ca
1Canadian Centre for Applied Research in Cancer Control (ARCC), 675 West
10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
Full list of author information is available at the end of the article Participant recruitment The goal of recruitment was to identify a group of
20–25
citizens
to
participate
in
each
panel
who
reflected a diversity of life experiences and social per-
spectives based on the demographics of the province
in which each panel was held. An online market
research company, AskingCanadians™, was engaged to
conduct recruitment. A letter of invitation to partici-
pate in the deliberation was e-mailed to a randomly
selected
group
of
AskingCanadians™
online
panel
members. Interested individuals completed an eligibil-
ity survey on the following criteria: age, income,
education, ethno-cultural background, lived experience
with chronic disease (as patient or caregiver; type of
chronic disease was unspecified) and geographic loca-
tion within their home province. Individuals were not
eligible
to
participate
if
they
were
employees
of
healthcare organisations or health professionals, em-
ployees or those with a direct financial relationship
with a tobacco or pharmaceutical company, individ-
uals who had lobbied for health advocacy groups,
health policy-makers, including both elected officials
and public servants, people who had worked for
market research, advertising, public media or public
relations firms, or individuals who had previously par-
ticipated in a citizen panel hosted by one of the re-
search collaborators. While relatively little is known about what Canadian
clinicians and policy-makers value concerning different
cancer programmes and interventions and their out-
comes, even less is known about Canadians’ values on
these matters [19]. To address this knowledge gap, we
explored the concerns, perspectives and values of Cana-
dians on the topic of cancer drug funding, and brought
their recommendations to the attention of policy-makers
who must confront issues of affordability, sustainability
and fairness in their healthcare jurisdictions. Page 2 of 10 Page 2 of 10 Bentley et al. Health Research Policy and Systems (2019) 17:17 Bentley et al. Health Research Policy and Systems (2019) 17:17 Canada’s pan-Canadian Oncology Drug Review, which
is part of the Canadian Agency for Drugs and Technolo-
gies in Health (CADTH), utilises a national review
process for new cancer drugs. It reviews the clinical and
economic evidence (among other inputs) about each
new cancer drug and makes funding recommendations
to
Canada’s
provincial
and
territorial
governments,
which are responsible for healthcare funding decisions
[10]. However, its recommendations do not address the
economic and ethical challenges that provincial and
territorial policy-makers face about how to cover in-
creasingly expensive cancer drugs given limited budgets
and competing health priorities. O’Doherty [20]. These approaches support citizens from a
variety of backgrounds and perspectives to participate in
meaningful dialogic exchange, where their deliberations
are directed towards collective problem-solving while
highlighting the acceptable trade-offs of a given policy
initiative. Deliberative
approaches
draw
on
citizens’
perspectives to help define policy issues and advise on the
social and normative aspects of decision-making [17, 21]. Empirical evidence has shown that the public can
make
coherent and sophisticated recommendations
concerning values and health policy [22] and provide
substantive knowledge to policy-makers. Deliberative
approaches can enhance accountability in government
decision-making [23], improve the legitimacy of deci-
sions taken [24] and promote public understanding of
complex healthcare issues [17]. There is relatively little guidance on if, when and how
to consult the public on priority-setting and resource
allocation decisions [11, 12]. In recent years, deliberative
forms of public engagement have emerged as robust
approaches to public consultation on many health policy
initiatives
[13,
14]. Deliberative
public
engagement
brings members of the public together in a process of
learning and dialogic exchange focused on collective
problem-solving that is not consensus driven [13, 15]. In
Canada, deliberative engagements have been used to
advise provincial Ministries of Health on technology
assessment [16], health services [17] and biobanks [18],
among many other topics. Structure of deliberations All panels followed the same format. On Day 1, partici-
pants heard from expert speakers and asked them ques-
tions, viewed the video, and deliberated and made
recommendations on Topic 1. On Day 2, participants
deliberated on Topics 2 and 3 and made recommenda-
tions on them. Panel discussions were led by trained facilitators in
large and small group sessions. Each deliberation topic
was discussed first in small group sessions, followed by
collective deliberation and making recommendations in
the large group. g
The overarching deliberation topics and questions were: The overarching deliberation topics and questions were: Participants
negotiated
all
recommendation
state-
ments. Once a recommendation was formulated, voting
was used to gauge the degree of collective support for it,
and as a technique to identify points of disagreement or
tension that could be recorded and explored more fully. Participants who abstained or voted against a recom-
mendation were prompted to explain their views. Provincial panels: Provincial panels: What should guide policy decisions about whether
to fund new cancer drugs or change the funding
provided for existing cancer drugs? What would make cancer drug funding decisions
trustworthy? At least one, and often three, principal investigators
attended each panel to answer questions of clarification
from participants, observe the deliberations first hand
and support the consistency of methods across the
events. How can we improve existing approaches to
decision-making about cancer drug funding? Pan-Canadian panel: What are important features of a pan-Canadian ap-
proach to making funding decisions about cancer
drugs? Methods Five 2-day citizen panels – or deliberative public engage-
ment events – were convened in four Canadian prov-
inces (Saskatchewan, Ontario, Quebec and Nova Scotia)
between April and June 2016. Provinces were selected to
reflect different geographic regions, cancer delivery pro-
grammes and drug budgets across Canada. Two of the
five panels were held in Quebec (one in English and one
in French). A sixth ‘pan-Canadian’ panel was convened
in October 2016 (and, as described below, drew on par-
ticipants from the five panels as well as from an earlier,
similar provincial event in British Columbia in 2014). Recruitment for the pan-Canadian event involved
randomly selecting 3–5 participants from each of the
provincial panels who had expressed their interest in be-
ing invited to the pan-Canadian event. AskingCana-
dians™oversaw the initial contact with prospective
participants from each provincial panel and used the
same stratified approach to recruitment. The panel design combined the strengths of two well-
established deliberative public engagement approaches,
namely that of the McMaster Health Forum (www. mcmasterhealthforum.org/citizens/citizen-briefs-and-panels)
and the ‘mini-public’ approach of Burgess, Longstaff and Participants received a $125 honorarium per 8-hour
day
for
the
deliberation
and
their
expenses
were
covered. Page 3 of 10 Page 3 of 10 Bentley et al. Health Research Policy and Systems (2019) 17:17 knowledge of cancer drug funding processes and budgets
locally and/or at the pan-Canadian level. This provided
experiential perspectives and local decision-making con-
text for panel participants. Deliberation topics, questions and information supports Deliberation topics, questions and information supports
Deliberation topics and questions were developed in con-
sultation with provincial cancer policy-makers in each of
the provinces where the panels were held, and with mem-
bers of the project’s steering and advisory committees. In
keeping with an ‘integrated knowledge translation’ or ‘co--
production’ model, the steering committee provided guid-
ance and oversight on the project’s direction. It was
comprised of three senior decision-makers in cancer con-
trol, two of whom were from pan-Canadian organisations
and one was in charge of a provincial drugs budget. The
advisory committee included members of the research
team with expertise in deliberative public engagement and
recruitment methods, research ethics, and institutional
oversight. They provided advice to ensure that the project
was in compliance with relevant regulations (e.g. informed
consent processes, financial reporting, etc.). Data collection and analysis What are the trade-offs associated with a pan-
Canadian approach to making funding decisions
about cancer drugs? All events were audio recorded and transcribed. The in-
tegration
of
recommendations
across
panels
was
approached through constant comparison and consult-
ation with transcripts to ensure appropriate interpret-
ation. Differences across regional events and from the
broader focus of the pan-Canadian event were consid-
ered and reflected in the description of the themes. How might these trade-offs be addressed to produce
trustworthy decisions? Several information sources were developed to support
participants’ deliberations. Prior to each event, partici-
pants received a link to the video ‘Cancer Dialogues’,
which featured two oncologists, a health economist and a
patient advocate, each speaking about cancer drug funding
from their own perspective (see https://cc-arcc.ca/socie-
tal-values-public-engagement-2/). Participants
also
re-
ceived a plain-language citizen brief containing relevant
research evidence on the topic of cancer drug funding de-
cisions in Canada, how these decisions are made, the drug
coverage plans for the province in which the panel was
held, and several additional questions to encourage partic-
ipants to reflect upon the information provided (see
Additional file 1 for the citizen brief for the pan-Canadian
panel). At each event, a cancer patient representative and
an oncologist from the area gave brief remarks and
answered questions. The oncologists also had expert p
Transcript analysis began with a detailed review of the
recommendations within their provincial or pan-Canadian
context and through a comparative lens. This initial re-
view by the study team led to the identification of a more
thematically organised set of categories that aligned with
the deliberative topics and questions, and which would
provide helpful guidance to policy-makers. Within each
thematic category, high-level agreement and divergent
perspectives within and across the panel recommenda-
tions were identified. A more thorough analysis of the
event transcripts was then undertaken to assess how con-
cepts and terms were understood across events and to fur-
ther characterise the themes. Two qualitative researchers
(CB, ODP) who also attended multiple panels analysed
the transcripts, which were entered into NVivo 11 soft-
ware. Weekly sessions were held to review the concepts Page 4 of 10 Bentley et al. Health Research Policy and Systems (2019) 17:17 and terms within each deliberative context. The study
team also met weekly to provide feedback on the inter-
pretation of the findings across panels. drug funding decisions. Results Participants articulated the principles they felt should
guide funding decisions. At the provincial panels, partic-
ipants were presented with decision scenarios in which
they played the role of policy-makers. The scenarios
were intentionally limited to force specific trade-offs be-
tween cost and quality or quantity of life, and disinvest-
ment (Fig. 1). Participants’ recommendations reflected
what specific health benefit (i.e. improved duration or
quality of life) they felt justified the significant additional
cost (i.e. a doubling of the cost). A total of 115 citizens participated in the deliberative
events, with 20–25 citizens per panel (Table 1). Across all panels, participants deliberated thoughtfully
and respectfully on a range of complex issues related to
the affordability, sustainability and fairness of cancer drug
funding in Canada. They grasped the core issues under
consideration, were able to identify acceptable cost-benefit
and equity trade-offs, and provided relevant guidance on
making cancer drug funding decisions in Canada. Participants developed 86 recommendations over the
six panels on a range of themes. See Additional file 2 for
recommendations
from
the
provincial
panels
and
Additional file 3 for recommendations from the pan-
Canadian panel. The themes, described below, draw
from the recommendations and transcripts to qualita-
tively illustrate the areas of strength, convergence and
disagreement within and across panels, and to capture
important nuances from participants’ discussions. While
the themes were supported by all panels, quotations or
specific details are drawn from the recommendations of
the panel, identified in brackets. Participants generally thought that modest life ex-
tension alone, unless it was sustaining a pre-existing
good quality of life, was insufficient justification for
approving new or more expensive drugs over alterna-
tives. Most considered quality and length of life inter-
dependently. With
respect
to
funding
drugs
that
extend life, the majority of participants considered
doubling the cost, i.e. going from $15,000 to $30,000
per patient, to be a significant cost increase and a
worthwhile expenditure only if life was extended by
at least 12 months. There was a small degree of
support for significant cost being worthwhile for an
extension of life of less than 12 months. Theme 1. Evidence and other inputs to support decision-
making Participants in Saskatchewan and at both Quebec
events (English and French) specified that, if a cancer
drug restored independence for patients and/or im-
proved their mental health, then a higher cost for that
drug would be justified. There was strong support for clear criteria in drug fund-
ing decisions. Participants recommended having “base-
line criteria” (Nova Scotia) or a “decision-making tool”
(Saskatchewan) containing specific data elements to
guide decision processes so that decisions are based on
adequate, identifiable and unbiased information. Ethics approval The project was approved by the Hamilton Integrated
Research Ethics Board (#13-369) and the University of
British
Columbia-British
Columbia
Cancer Research
Ethics Board (#H16-00623). All participants signed a
written informed consent form prior to the event. Data collection and analysis However, the criterion of ‘age’
was explicitly rejected or considered discriminatory at all
other provincial panels. Participants in Ontario supported considering drug
costs in light of “other parts of the health system” and
“opportunity costs”. They also considered “what the pub-
lic is willing to pay for minimal survival improvements”,
which indicates there may be a threshold beyond which
some drugs are not funded. Theme 3. Disinvestment and re-review of data and past
decisions The Saskatchewan panel specified the components of
a “decision-making tool”: There was strong support across all panels for reviewing
and reassessing currently approved and used cancer
drugs. Participants recommended that reviews be based
on clear and consistent principles and on real-world data
on the drug’s effectiveness and cost-effectiveness, and
that these data be compared with data about other
cancer
drugs. Participants
strongly
supported
the
principle that the health system should fund drugs that
are more cost-effective and more clinically effective rela-
tive to other cancer drugs. They accepted the need to
make tough funding decisions, including stopping or
scaling back funding for some currently funded drugs. “The criteria used in the decision-making tool should in-
clude but are not limited to cost, quality and quantity of
life, side effects, effectiveness, accessibility, incidence and
type of cancer, mortality, age, duration of treatment,
sustainability of the drug (uninterrupted supply), and
ability to compare to other provinces’ decisions.” This recommendation reflects the types of information
participants across provincial panels felt should guide Bentley et al. Theme 3. Disinvestment and re-review of data and past
decisions Health Research Policy and Systems (2019) 17:17 Page 5 of 10 Table 1 Participant demographics
Provincial panels
Pan-Cana
Provincial total
Percentage of total
Hamilton
Halifax
Montreal (English)
Saskatoon
Montreal (French)
Participants
115
25
24
20
21
25
24
Sex
Male
53
46%
12
13
8
9
11
13
Female
62
54%
13
11
12
12
14
11
Age, years
18–24
4
3%
2
0
0
1
1
0
25–34
21
18%
4
6
3
5
3
5
35–49
29
25%
10
6
2
5
6
3
50–64
34
30%
6
5
11
5
7
11
65+
27
23%
3
7
4
5
8
5
Geography
Urban area
56
49%
13
11
9
10
13
14
Suburban area
44
38%
10
10
8
6
10
7
Rural area
15
13%
2
3
3
5
2
3
Income
Less than $20,000
11
10%
2
1
3
4
1
3
Between $20,000 and $34,999
25
22%
4
9
1
4
7
5
Between $35,000 and $49,999
15
13%
3
3
4
1
4
4
Between $50,000 and $79,999
28
24%
4
6
6
5
7
4
More than $80,000
14
12%
5
1
1
4
3
4
Prefer not to answer
22
19%
7
4
5
3
3
4
Education
No certificate
0
0%
0
0
0
0
0
0
High school
14
12%
1
3
2
3
5
0
College or apprenticeship,
non-university
23
20%
6
4
5
3
5
9
Some university
23
20%
4
4
4
2
9
3
University or above
55
48%
14
13
9
13
6
12
Children
With children
62
54%
14
13
11
11
13
17
Without children
53
46%
11
11
9
10
12
7
Ethnicity
Aboriginal
6
5%
2
1
0
3
0
2
Arab/Middle Eastern
8
7%
2
0
3
2
1
2
Black
10
9%
3
3
0
1
3
3
Chinese
4
3%
1
3
0
0
0
2
Filipino
5
4%
2
1
0
2
0
2
Japanese
3
3%
3
0
0
0
0
2
Korean
0
0%
0
0
0
0
0
0
Latin American
7
6%
3
1
2
0
1
0
South Asian
7
6%
3
2
2
0
0
5
White
58
50%
5
12
12
13
16
5
Other
4
3%
0
1
1
0
2
0
Prefer not to answer
3
3%
1
0
0
0
2
1
Are you currently living with a chronic disease? Theme 4. Ensuring fairness and access Fairness and equity of access to cancer treatment were im-
portant principles across all panels. Participants’ concerns
relating to fairness and equity included ensuring access for
patients (1) undergoing treatment, (2) living in remote loca-
tions and (3) who are members of vulnerable populations. Participants strongly supported involving citizens in
decision processes, but the support was qualified by a
concern that publics might not be adequately informed. Theme 3. Disinvestment and re-review of data and past
decisions Do you now or have you in the past cared for someone with one or more chronic diseases? Yes/Yes (sufferer/caregiver)
16
14%
3
4
3
3
3
4
No/No (sufferer/caregiver)
48
42%
12
11
6
9
10
5
Yes/No (sufferer/caregiver)
27
23%
6
4
6
5
6
5
No/Yes (sufferer/caregiver)
24
21%
4
5
5
4
6
5
No/no answer (sufferer/caregiver)
2
Yes/no answer (sufferer/caregiver)
3 Bentley et al. Health Research Policy and Systems (2019) 17:17 Page 6 of 10 . 1 Decision scenarios Fig. 1 Decision scenarios i Page 7 of 10 Page 7 of 10 Bentley et al. Health Research Policy and Systems (2019) 17:17 industry in these processes so they could be made ac-
countable for their data. Participants supported weighing the costs and benefits of
comparable drugs to identify drugs for delisting. They
supported replacing cancer drugs based on cost savings for
drugs of similar safety and effectiveness. At both Quebec
panels (English and French), some participants stipulated
that any cost savings from disinvesting in cancer drugs be
kept in the cancer drug funding budget envelope and either
be re-invested in cancer drugs or in cancer research. There was some hesitation about the direct involve-
ment of patients in drug funding decisions. For instance,
some participants felt patients may be too emotionally
tied to decisions under consideration (Nova Scotia,
Quebec-French, Quebec-English). This led to some sup-
port for recommending that decisions have input from
“patient advocates” (Quebec-English) and “patient asso-
ciations” (Quebec-French) to avoid placing individual
patients under any emotional stress. Theme 6. Pan-Canadian approach to cancer drug funding
and coverage decisions At
the
pan-Canadian
event,
panelists’
discussions
tended to focus on removing provincial barriers to treat-
ment and equitable access to cancer drugs for all
Canadians. They also recommended implementing “equity
audits” so that vulnerable populations are not overlooked. Theme 6. Pan-Canadian approach to cancer drug funding
and coverage decisions Recommendations that focused on principles such as
‘compassionate access’ and ‘grandfathering’ reflected the
notion that patients receiving treatment should not be
disadvantaged by funding decisions and should have the
opportunity to continue their treatment. Participants in
Saskatchewan, Ontario and Nova Scotia stipulated that,
if a drug is delisted, patients should be given the option
to stay on the drug, i.e. grandfathering, while alternatives
drugs are considered. Participants strongly supported the principle that people
with similar needs should receive the same care regard-
less of where in Canada they live, and that fairness
should guide a pan-Canadian approach to cancer drug
funding. While some participants were sceptical about
the ability of Canadian provinces and territories to col-
laborate on this goal, many were not, and even the scep-
tics were supportive of the ideal. Several recommendations focused on improving access
in remote regions and on funding for oral drugs because
they can be more widely distributed. Personal responsi-
bility for travel-related costs and for oral medications
taken in ambulatory care was considered an inequity. Participants also recommended that marginalised popu-
lations not be disadvantaged by funding decisions. At
the
pan-Canadian
event,
panelists’
discussions
tended to focus on removing provincial barriers to treat-
ment and equitable access to cancer drugs for all
Canadians. They also recommended implementing “equity
audits” so that vulnerable populations are not overlooked. Several recommendations focused on improving access
in remote regions and on funding for oral drugs because
they can be more widely distributed. Personal responsi-
bility for travel-related costs and for oral medications
taken in ambulatory care was considered an inequity. Participants also recommended that marginalised popu-
lations not be disadvantaged by funding decisions. Participants in Nova Scotia and at both Quebec panels
(English and French) recommended that the same cancer
drugs be available in all the provinces and territories, and
pan-Canadian
panellists
recommended
a
“mandatory
pan-Canadian approach to cancer drug funding decisions”. At both Quebec panels, participants viewed a Canada-wide
drug formulary as a way to mitigate regional differences in
treatment access within the province, and all panels viewed
it as a way to decrease costs through bulk purchasing. Participants in Saskatchewan considered a common drug
formulary primarily as an opportunity to share information
and avoid duplication of decision effort across provinces. Discussion Theme 5. Transparency of the decision-making process
Transparency was regarded as foundational to trust-
worthy governance. Nova Scotia participants stressed
that the public needs to understand “how decisions are
made and who is making them”, while Saskatchewan par-
ticipants supported “decision-making that is sustainable,
defensible, transparent, objective, accountable, and fair”. Our findings affirm many aspects of current decision-
making practices in Canada related to the funding of
cancer drugs. Recommendations that drug funding deci-
sion processes consider a range of inputs and evidence,
that increases in cancer drug spending be justified using
clear and consistent principles, and that decision-making
processes and their rationales should be transparent and
publicly available are consistent with current approaches
taken by pan-Canadian health technology assessment
(HTA) bodies like CADTH. Participants emphasised that decision-making bodies
should represent a range of different perspectives and
appropriate expertise, with membership being a mix of
citizens,
cancer
patients,
health
professionals
and
policy-makers. There was strong support in the Saskatch-
ewan, Quebec-French, Quebec-English and pan-Canadian
panels for excluding the pharmaceutical industry from
decision processes due to conflict of interest concerns. However, some Ontario participants supported including Participants wanted drug funding decision processes
supported by a range of inputs and evidence, including
drug costs, clinical benefit of quality and quantity of life,
potential
side
effects,
and
incidence
rates. Again,
CADTH
currently
considers
clinical
and
economic Bentley et al. Health Research Policy and Systems (2019) 17:17 Page 8 of 10 Page 8 of 10 evidence in its drug assessments, as do Canadian prov-
inces and territories, in their decisions about which
drugs to place on their formularies. While CADTH con-
siders input from patient groups in its drug assessment
processes, participants expressed some concern about
including patients and members of the public in such
processes. collaborate on the goal of a common formulary, many
felt that a pan-Canadian approach was still an important
goal to pursue. Participants made several recommenda-
tions related to improving access in rural and remote lo-
cales, and strongly supported public funding for oral
treatments over intravenous drugs as a means of redu-
cing barriers to treatment access. g
There are some limitations to the findings from this
project. One limitation relates to the representativeness
of
the
participants. Discussion While
the
participant
sample
reflected a balance of key demographic criteria across all
six panels, with the exception of under-representation in
the 18–24 age range, our recruitment goal was not to
duplicate population distributions of life experiences but
to over-represent the range of diversity in comparison to
the general population. Although we did not recruit par-
ticipants from every province and none were recruited
from the territories, the provinces included across all six
panels represented approximately 80% of the Canadian
population in 2016 [26]. Participants wanted further assurances of trustworthy
governance of decision-making processes, like avoiding
conflicts of interest, committee membership renewal
and disclosing reasons for granting compassionate access
to drugs not listed on a provincial formulary. These
recommendations applied not only to CADTH, but also
to provincial and territorial HTA processes to help
policy-makers improve how drug funding decisions are
made and how their rationales are communicated to the
public. Our findings suggest that new policy options be con-
sidered. Participants supported developing processes for
re-reviewing data and making disinvestments, ensuring
fairness and equity are central principles, and that there
should be a pan-Canadian approach to cancer drug
funding decisions. While there are currently no formal
mechanisms at the pan-Canadian, provincial or territor-
ial levels to either re-review data on effectiveness and
cost-effectiveness of currently approved and used cancer
drugs or to disinvest in any area of cancer treatment,
CADTH’s Strategic Plan for 2018–2021 has focused on
HTA management, which includes reassessment and
disinvestment of existing drugs and technologies [25]. Participants also recommended that real-world effective-
ness and cost-effectiveness be considered in the ongoing
re-review of approved drugs in order to achieve better
value for money. These recommendations reflect that
participants accepted the need for trade-offs and tough
funding decisions. Participants also supported replacing
an existing drug with a new drug on the basis of cost
savings if the new drug has the same safety and effect-
iveness. Finally, all jurisdictions should give priority to
cancer drugs that offer improvements in survival and re-
store patients’ independence, mental health and general
well-being. A second limitation relates to the use of decision sce-
narios, which showed that participants could make spe-
cific cost-benefit trade-offs. The scenarios’ structure was
intentionally limited in order to force a specific trade-
off; however, this also meant that some trade-offs (e.g. Discussion involving rare cancers) were not explored in relation to
fairness and sustainability, and some decision assump-
tions (e.g. stage of disease, overall budget) constrained
the trade-offs considered. Conclusion The findings from this project provide a set of perspec-
tives on what participants collectively thought made for
good, trustworthy decisions about funding for cancer
drugs in Canada that are affordable, sustainable and fair. The results demonstrate that informed, deliberative pub-
lics accept the need to make trade-offs when budgets are
limited. Participants supported making disinvestments
based on real-world effectiveness and cost-effectiveness
if patients can remain on their current treatment while
alternatives are considered. Our approach to public en-
gagement has the strength of producing advice that is
informed, considers different social perspectives and
reflects collective priorities rather than aggregating indi-
vidual preferences or highlighting diverse stakeholder
perspectives. Policy-makers can use this advice along
with other important inputs, including the expertise of
clinicians, ethicists, health economists, policy analysts,
policy-makers, patients and families. Participants recommended that all jurisdictions ensure
that people with similar needs receive the same care re-
gardless of where in Canada they live. Because health-
care delivery in Canada, including reimbursement for
cancer drugs, is a provincial and territorial responsibility,
different provinces and territories have different drug
formularies, resulting in disparities of drug coverage
across the country. Participants across all panels consid-
ered these disparities to be unfair, and called for a
pan-Canadian approach to cancer drug funding as a
matter of fairness. While some participants were scep-
tical about the ability of provinces and territories to Canadian policy-makers might want to consider a
more sustained public deliberation model, like a public
panel or incorporating multiple members of the public
into existing committees. While we, as researchers in
the fields of public engagement and health policy, have a Bentley et al. Health Research Policy and Systems (2019) 17:17 Page 9 of 10 Competing interests clear interest in promoting the adoption of robust
methods for engaging the public, we believe our ap-
proach has demonstrated that civic-minded citizens can
effectively contribute to health policy considerations. Competing interests Competing interests
The authors declare that they have no competing interests. References
l Additional file 3: List of recommendations from the pan-Canadian
panel. (PDF 696 kb) 1. Vogler S, Vitry A, Babar ZU. Cancer drugs in 16 European countries, Australia,
and New Zealand: a cross-country price comparison study. Lancet Oncol. 2016;17(1):39–47. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations. The next steps for policy-makers should be to develop
mechanisms
for
(1)
re-reviewing
effectiveness
and
cost-effectiveness data for all cancer drugs; (2) making
disinvestments in cancer drugs that satisfy requirements
relating to grandfathering and compassionate access; (3)
ensuring fair and equitable access to cancer drugs for all
Canadians; and (4) a pan-Canadian approach to cancer
drug funding decisions. Author details
1 1Canadian Centre for Applied Research in Cancer Control (ARCC), 675 West
10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. 2Department of
Health Research Methods, Evidence and Impact, McMaster University, 1280
Main Street West (CRL 203), Hamilton, Ontario L8S 4K1, Canada. 3School of
Population and Public Health, University of British Columbia, 239 RHS, 1088
Discovery Avenue, Kelowna, British Columbia V1V 1V7, Canada. 4Institute
National d’Excellence en Santé et en Services Sociaux (INESSS), 2021 avenue
Union, 12th Floor, bureau 1200, Montreal, Quebec H3A 2S9, Canada. 5Engage
Associates Consulting Firm, Vancouver, British Columbia, Canada. 6McMaster
Health Forum, 1280 Main Street West, MML-417, Ontario, Hamilton L8S 4L6,
Canada. Abbreviations 2. OECD. Pharmaceutical Spending (indicator); 2018. https://data.oecd.org/
healthres/pharmaceutical-spending.htm. Accessed 14 Jan 2019. 2. OECD. Pharmaceutical Spending (indicator); 2018. https://data.oecd.org/
healthres/pharmaceutical-spending.htm. Accessed 14 Jan 2019. CADTH: The Canadian Agency for Drugs and Technology in Health;
HTA: Health technology assessment 3. Cressman S, et al. A time-trend economic analysis of cancer drug trials. Oncologist. 2015;20(7):729–36. 3. Cressman S, et al. A time-trend economic analysis of cancer drug trials. Oncologist. 2015;20(7):729–36. 4. Howard DH, et al. Pricing in the market for anticancer drugs. J Econ
Perspect. 2015;29(1):139–62. 4. Howard DH, et al. Pricing in the market for anticancer drugs. J Econ
Perspect. 2015;29(1):139–62. Received: 17 August 2018 Accepted: 1 January 2019 Received: 17 August 2018 Accepted: 1 January 2019 Received: 17 August 2018 Accepted: 1 January 2019 Funding
h d l b 7. Canadian Cancer Society’s Advisory Committee on Cancer Statistics. Canadian Cancer Statistics 2015: Predictions of the future burden of Cancer
in Canada. Toronto: Canadian Cancer Society; 2015. 7. Canadian Cancer Society’s Advisory Committee on Cancer Statistics. Canadian Cancer Statistics 2015: Predictions of the future burden of Cancer
in Canada. Toronto: Canadian Cancer Society; 2015. g
The deliberations were sponsored by the Canadian Partnership Against
Cancer. The McMaster Health Forum receives both financial and in-kind sup-
port from McMaster University. The ‘Cancer Dialogues’ video was produced
by Dean Regier with support from ARCC. ARCC is funded by the Canadian
Cancer Society (Grant #2015-703549). 8. Ellison L, Wilkins K. Canadian trends in cancer prevalence. Health Rep. 2012;
23(1):7–16. 8. Ellison L, Wilkins K. Canadian trends in cancer prevalence. Health Rep. 2012;
23(1):7–16. 9. Savage P, Mahmoud S. Development and economic trends in cancer
therapeutic drugs: a 5-year update 2010-2014. Br J Cancer. 2015;112(6):
1037–41. Availability of data and materials 10. Hoch J, Sabharwal M. Informing Canada’s cancer drug funding decisions
with scientific evidence and patient perspectives: the Pan-Canadian
Oncology Drug Review. Curr Oncol. 2013;20(2):121–4. The data generated and/or analysed during the current study are not
publicly available to safeguard participants’ confidentiality but are available
from the corresponding author on reasonable request. 11. Mitton C, et al. Public participation in health care priority setting: a scoping
review. Health Policy. 2009;91(3):219–28. 11. Mitton C, et al. Public participation in health care priority setting: a scoping
review. Health Policy. 2009;91(3):219–28. Authors’ contributions 12. Peacock S, et al. Overcoming barriers to priority setting using
interdisciplinary methods. Health Policy. 2009;92(2–3):124–32. All authors contributed to the theoretical and practical aspects of the
deliberative public engagement events, oversaw their implementation, and
attended most of the events. JL and MW oversaw participant recruitment. CB, SP, JA, MB and OP conducted the data analysis and interpretation. CB led
on drafting the manuscript, with substantive contributions from SP, JA and
MB. All authors contributed to revising the manuscript. All authors reviewed
and approved the final manuscript. interdisciplinary methods. Health Policy. 2009;92(2–3):124–32. 13. Abelson JB, Blacksher EA, Li KK, Boesveld SE, Goold SD. Public Deliberation
in Health Policy and Bioethics: Mapping an emerging, interdisciplinary field. J Public Deliberation. 2013;9(1):5. 14. Blacksher E, et al. What is public deliberation? Hastings Cent Rep. 2012;42(2):
14–6. 15. O’Doherty K. Synthesising the outputs of deliberation: extracting meaningful
results from a public forum. J Public Deliberation. 2013;9(1):8. Acknowledgements The authors would like to thank members of the Project Steering Committee
and the event speakers for their time and expertise, and personnel at the
McMaster Health Forum and the Canadian Centre for Applied Research in
Cancer Control (ARCC) for their contributions. 5. de Oliveira C, et al. Trends in use and cost of initial cancer treatment in
Ontario: a population-based descriptive study. CMAJ Open. 2013;1(4):E151–8. 6. van den Broek CB, et al. Time trends in chemotherapy (administration and
costs) and relative survival in stage III colon cancer patients - a large
population-based study from 1990 to 2008. Acta Oncol. 2013;52(5):941–9. Ethics approval and consent to participate 16. Bombard Y, et al. Eliciting ethical and social values in health technology
assessment: A participatory approach. Soc Sci Med. 2011;73(1):135–44. The project was approved by the Hamilton Integrated Research Ethics Board
(#13-369) and the University of British Columbia-British Columbia Cancer Re-
search Ethics Board (#H16-00623). All participants signed a written informed
consent form in advance of the event and, before the event commenced,
were provided with an in-person explanation of the project and its goals, a
description of any risks involved for participants, and an opportunity to ask
questions. 17. Abelson J, et al. Does deliberation make a difference? Results from a citizens
panel study of health goals priority setting. Health Policy. 2003;66(1):95–106. 18. Burgess MM. From ‘trust us’ to participatory governance: deliberative
publics and science policy. Public Underst Sci. 2014;23(1):48–52. publics and science policy. Public Underst Sci. 2014;23(1):48–52. 19. Regier DA, et al. Public engagement in priority-setting: results from a pan-
Canadian survey of decision-makers in cancer control. Soc Sci Med. 2014;
122:130–9. Additional files Additional file 1: Citizen brief for pan-Canadian panel. (PDF 3689 kb)
Additional file 2: List of recommendations by province and deliberative
topic. (PDF 824 kb) Additional file 1: Citizen brief for pan-Canadian panel. (PDF 3689 kb)
Additional file 2: List of recommendations by province and deliberative
topic. (PDF 824 kb) Bentley et al. Health Research Policy and Systems (2019) 17:17 Big Picture Bioethics: Developing Democratic Policy in Contested Domains.
The International Library of Ethics, Law and Technology, vol. 16. Cham:
Springer International; 2016. p. 243–76.
21.
Gutmann A, Thompson D. Deliberating about bioethics. Hastings Cent Rep.
1997;27(3):38–41.
22.
Abelson J, et al. Effective Strategies for Interactive Public Engagement in the
Development of Health Care Policies and Programs. Ottawa: Canadian
Health Services Research Foundation; 2010.
23.
Daniels N, Sabin J. Limits to health care: fair procedures, democratic
deliberation, and the legitimacy problem for insurers. Philos Public Aff. 1997;
26(4):303–50.
24.
Bohman J. Public Deliberation: Pluralism, Complexity and Democracy.
Cambridge: MIT Press; 1996.
25.
Canadian Agency for Drugs and Technologies in Health. Transforming How
we Manage Health Technologies in Support of Better Health, Better Patient
Experience, and Better Value. Ottawa: CADTH; 2018.
26.
Statistics Canada. Census Profile – 2016 Census. Ottawa: Statistics Canada; 2017. 25.
Canadian Agency for Drugs and Technologies in Health. Transforming How
we Manage Health Technologies in Support of Better Health, Better Patient
Experience, and Better Value. Ottawa: CADTH; 2018. Consent for publication
Not applicable. Consent for publication
Not applicable. 20. Burgess MM, Longstaff H, O’Doherty K. Assessing deliberative design of
public input on British Columbia biobanks. In: Dodds S, Ankeny R, editors. Page 10 of 10 Bentley et al. Health Research Policy and Systems (2019) 17:17 Big Picture Bioethics: Developing Democratic Policy in Contested Domains. The International Library of Ethics, Law and Technology, vol. 16. Cham:
Springer International; 2016. p. 243–76. 21. Gutmann A, Thompson D. Deliberating about bioethics. Hastings Cent Rep. 1997;27(3):38–41. 22. Abelson J, et al. Effective Strategies for Interactive Public Engagement in the
Development of Health Care Policies and Programs. Ottawa: Canadian
Health Services Research Foundation; 2010. 23. Daniels N, Sabin J. Limits to health care: fair procedures, democratic
deliberation, and the legitimacy problem for insurers. Philos Public Aff. 1997;
26(4):303–50. 24. Bohman J. Public Deliberation: Pluralism, Complexity and Democracy. Cambridge: MIT Press; 1996. 25. Canadian Agency for Drugs and Technologies in Health. Transforming How
we Manage Health Technologies in Support of Better Health, Better Patient
Experience, and Better Value. Ottawa: CADTH; 2018. 26. Statistics Canada. Census Profile – 2016 Census. Ottawa: Statistics Canada; 2017. Big Picture Bioethics: Developing Democratic Policy in Contested Domains. The International Library of Ethics, Law and Technology, vol. 16. Cham:
Springer International; 2016. p. 243–76. 21. Gutmann A, Thompson D. Deliberating about bioethics. Hastings Cent Rep. 1997;27(3):38–41. 22. Abelson J, et al. Effective Strategies for Interactive Public Engagement in the
Development of Health Care Policies and Programs. Ottawa: Canadian
Health Services Research Foundation; 2010. 23. Daniels N, Sabin J. Limits to health care: fair procedures, democratic
deliberation, and the legitimacy problem for insurers. Philos Public Aff. 1997;
26(4):303–50. 25. Canadian Agency for Drugs and Technologies in Health. Transforming How
we Manage Health Technologies in Support of Better Health, Better Patient
Experience, and Better Value. Ottawa: CADTH; 2018. 25. Canadian Agency for Drugs and Technologies in Health. Transforming How
we Manage Health Technologies in Support of Better Health, Better Patient
Experience, and Better Value. Ottawa: CADTH; 2018. atistics Canada. Census Profile – 2016 Census. Ottawa: Statistics Canada; 20
|
https://openalex.org/W4282928595
|
https://www.frontiersin.org/articles/10.3389/fendo.2022.922640/pdf
|
English
| null |
From Isles of Königsberg to Islets of Langerhans: Examining the Function of the Endocrine Pancreas Through Network Science
|
Frontiers in endocrinology
| 2,022
|
cc-by
| 27,076
|
From Isles of Königsberg to Islets of
Langerhans: Examining the Function
of the Endocrine Pancreas Through
Network Science Andrazˇ Stozˇer 1, Marko Sˇ terk 1,2, Eva Paradizˇ Leitgeb 1, Rene Markovicˇ 2,3,
Masˇa Skelin Klemen 1, Cara E. Ellis 4, Lidija Krizˇancˇic´ Bombek 1, Jurij Dolensˇek 1,2,
Patrick E. MacDonald 4 and Marko Gosak 1,2* 1 Institute of Physiology, Faculty of Medicine, University of Maribor, Maribor, Slovenia, 2 Department of Physics, Faculty of
Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia, 3 Institute of Mathematics and Physics, Faculty
of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia, 4 Department of Pharmacology and
Alberta Diabetes Institute, University of Alberta, Edmonton, AB, Canada Reviewed by: Reviewed by:
Kazuki Harada,
The University of Tokyo, Japan
Xuelin Lou,
Medical College of Wisconsin,
United States *Correspondence:
Marko Gosak
marko.gosak@um.si Specialty section:
This article was submitted to
Diabetes: Molecular Mechanisms,
a section of the journal
Frontiers in Endocrinology Specialty section:
This article was submitted to
Diabetes: Molecular Mechanisms,
a section of the journal
Frontiers in Endocrinology
Received: 18 April 2022
Accepted: 16 May 2022
Published: 15 June 2022 Islets of Langerhans are multicellular microorgans located in the pancreas that play a
central role in whole-body energy homeostasis. Through secretion of insulin and other
hormones they regulate postprandial storage and interprandial usage of energy-rich
nutrients. In these clusters of hormone-secreting endocrine cells, intricate cell-cell
communication is essential for proper function. Electrical coupling between the insulin-
secreting beta cells through gap junctions composed of connexin36 is particularly
important, as it provides the required, most important, basis for coordinated responses
of the beta cell population. The increasing evidence that gap-junctional communication
and its modulation are vital to well-regulated secretion of insulin has stimulated immense
interest in how subpopulations of heterogeneous beta cells are functionally arranged
throughout the islets and how they mediate intercellular signals. In the last decade, several
novel techniques have been proposed to assess cooperation between cells in islets,
including the prosperous combination of multicellular imaging and network science. In the
present contribution, we review recent advances related to the application of complex
network approaches to uncover the functional connectivity patterns among cells within
the islets. We first provide an accessible introduction to the basic principles of network
theory, enumerating the measures characterizing the intercellular interactions and
quantifying the functional integration and segregation of a multicellular system. Then we
describe methodological approaches to construct functional beta cell networks, point out
possible pitfalls, and specify the functional implications of beta cell network examinations. We continue by highlighting the recent findings obtained through advanced multicellular
imaging techniques supported by network-based analyses, giving special emphasis to the
current developments in both mouse and human islets, as well as outlining challenges
offered by the multilayer network formalism in exploring the collective activity of islet cell
populations. Finally, we emphasize that the combination of these imaging techniques and Islets of Langerhans are multicellular microorgans located in the pancreas that play a
central role in whole-body energy homeostasis. Through secretion of insulin and other
hormones they regulate postprandial storage and interprandial usage of energy-rich
nutrients. In these clusters of hormone-secreting endocrine cells, intricate cell-cell
communication is essential for proper function. Electrical coupling between the insulin-
secreting beta cells through gap junctions composed of connexin36 is particularly
important, as it provides the required, most important, basis for coordinated responses
of the beta cell population. June 2022 | Volume 13 | Article 922640 REVIEW
published: 15 June 2022
doi: 10.3389/fendo.2022.922640 REVIEW
published: 15 June 2022
doi: 10.3389/fendo.2022.922640 The increasing evidence that gap-junctional communication
and its modulation are vital to well-regulated secretion of insulin has stimulated immense
interest in how subpopulations of heterogeneous beta cells are functionally arranged
throughout the islets and how they mediate intercellular signals. In the last decade, several
novel techniques have been proposed to assess cooperation between cells in islets,
including the prosperous combination of multicellular imaging and network science. In the
present contribution, we review recent advances related to the application of complex
network approaches to uncover the functional connectivity patterns among cells within
the islets. We first provide an accessible introduction to the basic principles of network
theory, enumerating the measures characterizing the intercellular interactions and
quantifying the functional integration and segregation of a multicellular system. Then we
describe methodological approaches to construct functional beta cell networks, point out
possible pitfalls, and specify the functional implications of beta cell network examinations. We continue by highlighting the recent findings obtained through advanced multicellular
imaging techniques supported by network-based analyses, giving special emphasis to the
current developments in both mouse and human islets, as well as outlining challenges
offered by the multilayer network formalism in exploring the collective activity of islet cell
populations. Finally, we emphasize that the combination of these imaging techniques and Edited by:
Quan Zhang,
University of Oxford, United Kingdom Edited by:
Quan Zhang,
University of Oxford, United Kingdom 1In the case of points with only even numbers of lines attached to them, it does not
matter where the walk starts. In the case with two points with odd numbers of lines
attached to them, the walk must start in one of them. INTRODUCTION Strogatz pointed out the omnipresence of small world
connectivity patterns that are highly clustered and exhibit
small characteristic path lengths. Such topological structures
were identified in electric power grids, neuronal and brain
networks, protein-protein interactions, metabolic pathways,
transportation, social networks, and food webs, to name only a
few (7–10). The next decisive breakthrough was the growth and
preferential attachment model that describes the universal
scaling in degree distributions by Barabási and Albert (11),
along with the notion that highly heterogeneous and scale-free-
like networks likewise pervade biological, social, and
technological systems (12–14). It is clear that the potential of
graph theory to solve real-world problems is only beginning to
be realized. From Isles of Königsberg to
Network Science Graph theory has its roots in the 18th century. In 1735, Leonhard
Euler became interested in a then popular brainteaser of
Königsberg, today’s Kaliningrad. Kaliningrad´s center was built
on four land masses, two isles on the river Pregel and two
riverbanks. At that time, they were connected by seven bridges
(Figure 1A). The problem was to cross all seven bridges in a
continuous stroll, crossing each bridge exactly once. To solve the
problem, Euler redrew the geographical situation of the city by
constructing a graph with the land masses being represented as
four nodes and the bridges being represented as seven links
between them (Figure 1B). Euler analyzed the possibility of
walking through a graph (city) using each edge (bridge) only
once by considering the degree (number of edges connecting to
each isle) of the vertices (isles). A path in a graph, which contains
each edge only once, is called an Euler’s path. He realized that for
such a walk to be feasible, there must be none or exactly two
nodes with an odd number of links attached to them since any
walker must both enter and leave all nodes, except the ones
where the walk begins and ends1. All four nodes possessed an
odd number of links; thus, the proposed walk was impossible (1). Interestingly, due to bombing, reconstruction, and construction
of new bridges, today, there are altogether 9 bridges, one node
has 3 links, two have 4 links, and the fourth has 7 links
(Figure 1C). Therefore, a modern walk is possible in theory,
but it must start on one and end on the other isle, making it
hardly feasible in practice (Figure 1C). By solving the brainteaser
in this way, Euler laid the foundation of graph theory and
showed that functional implications of a particular structure
can be understood and even predicted without working out
all particularities. Frontiers in Endocrinology | www.frontiersin.org Keywords: pancreatic islets, beta cells, calcium imaging, intercellular communication, functional networks,
multilayer networks Citation: Stozˇer A, Sˇ terk M, Paradizˇ Leitgeb E,
Markovicˇ R, Skelin Klemen M, Ellis CE,
Krizˇancˇ ic´ Bombek L, Dolensˇek J,
MacDonald PE and Gosak M (2022)
From Isles of Königsberg to Islets of
Langerhans: Examining the Function of
the Endocrine Pancreas Through
Network Science. Front. Endocrinol. 13:922640. doi: 10.3389/fendo.2022.922640 June 2022 | Volume 13 | Article 922640 1 Frontiers in Endocrinology | www.frontiersin.org Multicellular Networks Within Pancreatic Islets Stozˇer et al. network-based analyses does not only represent an innovative concept that can be used
to describe and interpret the physiology of islets, but also provides fertile ground for
delineating normal from pathological function and for quantifying the changes in islet
communication networks associated with the development of diabetes mellitus. network-based analyses does not only represent an innovative concept that can be used
to describe and interpret the physiology of islets, but also provides fertile ground for
delineating normal from pathological function and for quantifying the changes in islet
communication networks associated with the development of diabetes mellitus. Keywords: pancreatic islets, beta cells, calcium imaging, intercellular communication, functional networks,
multilayer networks From Network Science to Islets
of Langerhans (A) In Euler’s time, one part of Königsberg (a) was connected with two bridges to the smaller isle (b) in
the Pregel River and with one bridge to the larger isle (d). The same was true for the other part of the city (c). The problem was to create a path that would cross
each bridge only once. (B) Euler solved the problem by representing the system as a graph in which the isles were represented as nodes and the bridges as links
between them. (C) Euler´s path is shown on the current map of Kaliningrad. B A A B C FIGURE 1 | The “Königsberg bridge problem” as a graph. (A) In Euler’s time, one part of Königsberg (a) was connected with two bridges to the smaller isle (b) in
the Pregel River and with one bridge to the larger isle (d). The same was true for the other part of the city (c). The problem was to create a path that would cross
each bridge only once. (B) Euler solved the problem by representing the system as a graph in which the isles were represented as nodes and the bridges as links
between them. (C) Euler´s path is shown on the current map of Kaliningrad. introduced to the islet community a decade ago and are
increasingly seen as a valuable tool to examine and quantify
collective activity patterns in the pancreatic islets of Langerhans
(18, 54–69). In these microorgans, communication among a
variety of cells with unique functions and characteristics must
occur to ensure proper control of metabolic homeostasis (70–
73). The most prevalent cell type are the insulin-secreting beta
cells, which are electrically coupled through gap junctions
composed of connexin36 (Cx36) to ensure mediation of
intercellular signals (74, 75). Because beta cells are intrinsically
highly heterogeneous and operate in a continuously changing
environment, they exhibit complex yet coherent activity patterns,
that are essential to tightly controlled insulin secretion. Inspired
by and contributing to the increasing awareness that both
synchronized islet activity and cell-to-cell communication are
altered during the pathogenesis of diabetes (76–80), tools from
the armamentarium of the complex network theory are now
recognized as a powerful computational framework to assess the
multicellular activity in islets and to study the progression of islet
dysfunction in diabetes. Therefore, we review the recent
advances related to the application of network theory to study
islet physiology. From Network Science to Islets
of Langerhans g
Complex networks are widely applicable because they can
represent and study the relationships between individual
components in virtually any discrete system. In the last two
decades, along with the advances in high-throughput
technologies, including increasing computational power,
biometric data acquisition, imaging techniques, and
bioinformatics, network concepts have become an
indispensable tool in biomedical research (15–23). In
biomedicine, network science allows us to analyze, integrate
and interpret several types of data, as well as to link them
together in novel ways. Therefore, it complements the
reductionist approach of systems biology, which focuses on
identifying the key elements and their role in isolation. In
addition to studies of gene-gene interactions (24), network
science is also being used to analyze interactions between
individual molecules, proteins (25, 26), signaling pathways, and
more recently, to study the underlying pathophysiology of
various disease processes (27–29), both at the level of the
individual organs and at the systemic level. Network analyses
nowadays allow the study of complex signaling pathways in
health and disease, with the integrative concept being especially
valuable in complex diseases with different comorbidities and
multiple phenotypes (30). By understanding the bigger picture, it
allows, on the one hand, the detection of potential drug targets,
while at the same time offering the possibility of a systems
approach to diagnosis and therapy (21, 27, 31, 32). Since its beginning, graph theory has occupied a place at the
‘pure’ end of pure mathematics. However, during the last
century, analyses of social networks started gaining
prominence apart from the developments in the field of
mathematical graph theory (2, 3). These advances, along with a
data deluge at the turn of the 21st century, have led to the birth of
a new interdisciplinary field that has come to be known as
network science (4, 5). This inherently multidisciplinary new
discipline branch of study is now established as a backbone for
describing various natural, social, and technological systems. It
has catalyzed one of the most striking discoveries in complex
systems research, i.e., that interactions of real-world networks
follow some universal features. In a seminal paper (6), Watts and June 2022 | Volume 13 | Article 922640 2 Multicellular Networks Within Pancreatic Islets Stozˇer et al. A
B
C
FIGURE 1 | The “Königsberg bridge problem” as a graph. June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org TYPES OF NETWORKS AND
NETWORK METRICS Small-world networks can be divided into three structural
classes: (i) single-scale networks, (ii) broad-scale networks, and
(iii) scale-free networks (8). This classification relies on the
computation of the degree distribution, meaning the
proportion of nodes that have a certain degree or number of
edges (8, 92). Figure 2 shows three different types of networks
along with their degree distributions that were obtained from the
SNAP database (93). Figure 2A represents the road network in
California, which is a homogeneous single-scale network that is
characterized by a degree distribution with a fast decay, i.e., there
are no nodes with a very high degree, meaning there are no cities
or towns with extremely high numbers of roads connecting to
them. Figures 2B, C represent a disease network and the air
transport network in the USA, respectively. Both of these
networks are heterogeneous, as evidenced by the heavy-tailed
degree distributions, indicating thereby that there are a few nodes
with a very high number of connections, i.e., hub nodes. However, only the air transportation network exhibits a scale-
free structure with a clear power-law degree distribution. In
contrast, despite being heterogeneous, the disease network
structure deviates from the pure power-law behavior. Therefore, it can be categorized as a broad-scale or a weakly
scale-free network. Notably, such structures are much more The birth of modern network science began with the objective of
characterizing the topology of real-world systems consisting of
many interacting units. In its purest form, a graph or a network is
an abstract mathematical object consisting of nodes (or vertices)
which are connected by links (or edges or connections). Because
of this rather simple definition, complex networks represent a
general and very useful framework to describe a large variety of
social (3, 8, 81), biological (17, 18, 82–85), and technological
systems (86–88). Nodes and edges can be regarded as a
manifestation of some properties of a system and the
corresponding network is a simplified mathematical
representation of the relationships (edges) between variables
(nodes), that does not necessarily encompass all the details of
the underlying system. For example, in online social platforms,
people (nodes) are connected through friendships (links);
studying these social networks can allow the study of how
information spreads without knowing details about each
specific person in the network. From Network Science to Islets
of Langerhans We first provide a comprehensible introduction
to the basic principles of network theory to introduce
physiologists to this rather new theoretical paradigm. Then, we
demonstrate how the complex network approaches can be used Furthermore, under the framework of the recently emerging field
of network physiology, network approaches have proven
valuable to describe the structural organization and functional
interrelations between different physiological and organ systems
on the whole-organism level (18, 22, 33–35). Noteworthy, in the
last decade perhaps the most remarkable breakthroughs of
complex network analysis were achieved in neuronal
physiology, where these approaches are used to quantify the
brain’s functional and anatomical organization and have reached
the maturity to be translated into clinical practice (36–39). Of most importance for our present review is the fact that in
recent years, network theory has been used to assess intercellular
interactions in multicellular systems where nodes represent
individual cells, and their locations correspond to physical
positions of cells in the tissue. Functional connections between
cells are created based on the temporal similarity of the measured
cellular dynamics, as evaluated through the calculation of the
correlation coefficient or other metrics for statistical similarity of
time series. Multicellular recordings of membrane potential or
intracellular calcium concentration are typically used as input
signals. Network principles have thus been used to elucidate the
connectivity patterns in neurons (40–44), astrocytes (45),
pituitary endocrine cells (46, 47), lens epithelium cells (48, 49),
hepatocytes (50), mammary epithelium cells (51), endothelial
cells (52), and pancreatic acinar cells (53). Network analyses were June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 3 Multicellular Networks Within Pancreatic Islets Stozˇer et al. lead to a systems level understanding of the cell. Furthermore,
data abstraction in networks facilitates the identification of
general topological characteristics in interaction patterns. The
observation of small-world characteristics, universal scaling, and
heterogeneity in the degree distributions, as well as the existence
of community structure, are the most important features
observed in a plethora of empirical networks (6, 11, 89–91). to uncover the functional connectivity patterns among cells
within the islets and specify their functional implications. We
conclude by pointing out some challenges and possible directions
for future investigation of islets and the multicellular dynamics of
endocrine cells in general. DESIGNING FUNCTIONAL BETA
CELL NETWORKS To estimate whether nodes in the network are
connected in a more segregated or a more integrated way, we can
calculate the so-called local clustering coefficient Ci, which is a
measure of how well adjacent nodes are interconnected, while
the average clustering coefficient is defined as the average of all
local clustering coefficients and indicates the overall
interconnectedness. From a functional point of view, high
clustering imparts resilience to removal of nodes since a signal
will reach all neighbors of a removed cell if they are connected
with each other. A metric for evaluating the quality of integration
is the global efficiency of the networks, which is defined as the
inverse sum of all shortest path lengths between all accessible
pairs of nodes. Higher values of global efficiency (i.e., shorter
average path lengths) indicate better communication capability
between nodes. Importantly, the trade-off between clustering
coefficient and the global efficiency is also used to measure the
degree of small-worldness in the network, small-world networks
are expected to simultaneously display both high integration and
segregation, i.e., high global efficiency and clustering (97). Moreover, it is sometimes important to find communities or
subsets of nodes that are densely connected, and the extent to
which the network is divided into communities can also be
evaluated using the so-called modularity metric. A well-
pronounced community structure in a network indicates a
functional specialization of specific regions or subnetworks. In
islets of Langerhans, this could indicate presence of islets within
islets or islets that merged during ontogenesis. Lastly, network
analysis can be used to identify connected components, defined
as a subset of nodes that can reach any other node by traversing
links with the goal of describing the reachability of the network
structure and finding isolated subnetworks. Of particular
importance is the network’s largest component Smax, i.e., the
maximal set of mutually connected nodes, which reflects the
degree of integration and resilience of the network. All network
measures described here and in Figure 3 can easily be applied to
intercellular interaction patterns within the pancreatic islets once
multicellular networks are established from experimental data. Here, we focus exclusively on functional multicellular
networks, which derive from the system’s dynamics. In
functional connectivity maps, nodes represent individual beta
cells and connections between them are established based on the
temporal similarity of the measured cellular dynamics, as
typically assessed by statistical similarity of calcium signals
(18). DESIGNING FUNCTIONAL BETA
CELL NETWORKS common in real-world networks than rigorous scale-free
networks. More specifically, due to different constraints and
finite sizes, scale freeness of networks is not a ubiquitous
phenomenon and therefore the term scale free network is in
the literature sometimes loosely applied to different types of
heterogeneous networks with heavy-tailed degree distributions
(14). Nevertheless, from the functional point of view, when
dealing with real-life networks, it is much more important to
know whether a network´s degree distribution is heavy-tailed, so
that we are aware of the existence of hub nodes, than whether it
exactly follows a power-law (94, 95). Networks are a convenient abstraction tool for exploring how
relationships and interactions between individual components
give rise to emergent dynamics. When mapping cellular
associations, an important distinction must be drawn between
how cells are physically connected and how the actual
information transfer occurs, affecting the collective activity of
cellular populations. Formally, we distinguish between structural
and functional networks, even though it is known that the
structure and function in networks are closely intertwined (98). Structural intercellular networks describe the patterns of cellular
morphology arrangement and provide the mechanistic substrate
for intercellular signal transfer. Structural network analysis has
already been utilized to study the cytoarchitecture of the islets. Specifically, network-based methods have been used to assess the
spatial organization of cells and their homo- and hetero-typic
contacts (99–104), to elucidate the principles of beta cell
arrangement in normal and diabetic islets (105), to infer the
structural basis for paracrine regulation of delta cells (106), and
to study the arrangement of endocrine cells regarding the
vascular network in the islets (107). While structural network
analysis represents a vibrant topic in the islet community, it is
beyond the scope of this review. The most commonly used network metrics applicable to
studying multicellular networks are schematically presented in
Figure 3 (for more details see (18, 96)). By simply counting the
number of links of a node, we define its degree ki, and by
averaging the degrees of all nodes, we can calculate the average
degree of the network. The degree of a node is an indicator of its
importance. By drawing a degree distribution, we can then
distinguish between different types of networks, as already
outlined above. TYPES OF NETWORKS AND
NETWORK METRICS Similarly, protein-protein
interaction networks, where nodes in networks represent
proteins and links represent interactions between them, can C A
B
C
D
E
F
FIGURE 2 | Examples of real-world networks along with their corresponding degree distributions. Road network in California (A), disease-disease network in which
nodes represent inherited, developmental, or acquired diseases and links represent associations between them (B), and air transport network in the US (C). In
panels (A-C) highly connected nodes, i.e., hubs, are colored purple, all other nodes are colored yellow. The lower panels feature the corresponding degree
distributions of networks which are categorized as single-scale (D), broad-scale or weakly scale-free (E), and scale-free (F). C A B B C E F D F E FIGURE 2 | Examples of real-world networks along with their corresponding degree distributions. Road network in California (A), disease-disease network in which
nodes represent inherited, developmental, or acquired diseases and links represent associations between them (B), and air transport network in the US (C). In
panels (A-C) highly connected nodes, i.e., hubs, are colored purple, all other nodes are colored yellow. The lower panels feature the corresponding degree
distributions of networks which are categorized as single-scale (D), broad-scale or weakly scale-free (E), and scale-free (F). June 2022 | Volume 13 | Article 922640 4 Frontiers in Endocrinology | www.frontiersin.org Multicellular Networks Within Pancreatic Islets Stozˇer et al. Frontiers in Endocrinology | www.frontiersin.org June 2022 | Volume 13 | Article 922640 DESIGNING FUNCTIONAL BETA
CELL NETWORKS (F) A group of nodes that are directly or indirectly connected to each other forms a connected component and stands for reachability within the network. The
relative largest connected component representing the fraction of nodes that are connected either directly or indirectly is denoted by Smax. connected, weighted and undirected graph of the system and
extracts only the sub-network which contains N-1 strongest
connections (N – total number of nodes) with no disconnected
nodes or circular connections. It has been, for example,
successfully applied in brain research (113) and in assessing
the collective dynamics of cryptocurrencies (114) or energy
consumption profiles (115). The lack of disconnected nodes
and the simple, barebone representation are the main
advantages of this method, since disconnected nodes can
represent a problem for previously described approaches. The
main drawback is the lack of circular connections, consequently
zero clustering coefficient and an overall poorer description of
the underlying system. Networks can also be constructed from
binarized time series and in this case the so-called coactivity
coefficient is used to evaluate synchronicity between cells (64, 66,
116). While this method does objectively capture the level of
synchronicity between cell pairs, it should not be used when
there are notable differences in the activities of individual cells, as
it might lead to spurious results. Another approach, popular in
neuroscience for inferring the connectivity between brain
regions, is the Granger causality (117). As the name suggests, threshold value should be chosen at R>0.7, such that more than
half of variance is explained by the correlation (R2>0.49). Alternatively, one can fix the average node degree, such that it
reflects a physiologically relevant value (i.e., the expected number
of connections in the observed tissue). By this means, the
correlation threshold value for intercellular connectivity is
iteratively adjusted until the resulting network has the desired
edge density. In this context, the average node degree itself no
longer has any descriptive meaning when comparing different
networks, however, the underlying network parameters and
degree distributions can differ greatly. If, for example,
individual nodes of a network are poorly correlated, the
resulting network will have more random-network-like
attributes (high efficiency, very low clustering, high
modularity), compared to highly correlated nodes which result
in a more ordered network structure (high clustering, lower
efficiency, and lower modularity). Therefore, this methodology
should not be used when the signals in different islets differ
substantially. DESIGNING FUNCTIONAL BETA
CELL NETWORKS The creation of functional beta cell networks has become
feasible with the development of functional multicellular calcium
imaging techniques. Two earliest adopters of these techniques in
conjunction with network-based analysis were Hodson et al. (54)
in isolated islets and our group in tissue slices (62), where we
represented cells as network nodes and functional connections
between cells as network edges. In both studies as well as in most
studies that followed, a thresholding of the correlation matrix
was used to construct functional networks, where two cells were
deemed functionally connected if their correlation coefficient
exceeded a preset threshold level. The procedure is schematically
presented in Figure 4 and encompasses the processing of the
recorded Ca2+ time series. In most of our previous works, we
focused exclusively on the fast Ca2+ oscillations that propagate
across the islets in the form of intercellular waves. To this aim,
the signals were band-pass filtered and smoothed to remove
noise and variations in basal Ca2+ levels. We will discuss how
preprocessing of recorded traces affects the network
characteristics in the next chapter. The methodology to create such functional connectivity maps
originates from neuroscience, where similar approaches have
been used to study functional associations between brain regions
or neurons (36, 108). However, a drawback of the method is that
it relies on a somewhat arbitrary connectivity threshold selection
(109–112). As one of the criteria it was suggested that the selected June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 5 Multicellular Networks Within Pancreatic Islets Stozˇer et al. A
B
C
D
E
F
FIGURE 3 | Quantifying intercellular connectivity patterns with conventional network metrics. (A) Schematic representation of a multicellular system as a network composed
of nodes (cells) and edges (connections or functional associations between cells). (B) Nodes are scaled based on the number of the neighbors to which they are directly
connected, i.e., their degree. This feature is shown schematically for the yellow node, with the direct neighbors colored purple. (C) The clustering coefficient describes the
tendency of nodes to cluster together and is defined as the number of existing connections between the neighbors of that node divided by the number of all possible
connections between them. This property is illustrated by the example of the yellow-colored node, to which non-existing yellow edges between the purple neighboring
nodes have been added. DESIGNING FUNCTIONAL BETA
CELL NETWORKS (D) The shortest path length between any two nodes is the number of edges that form the shortest path between them. Lower average shortest
paths of a network indicate more efficient communication abilities. This feature is highlighted by two yellow nodes representing the source and destination nodes and the
purple-colored nodes forming the shortest path. (E) A community consists of a group of nodes that have a higher connection density compared to the whole network. A
well-pronounced community structure implies an internal network organization into functional modules. In panel (E), nodes are color-coded according to their membership in
a community. (F) A group of nodes that are directly or indirectly connected to each other forms a connected component and stands for reachability within the network. The
relative largest connected component representing the fraction of nodes that are connected either directly or indirectly is denoted by Smax. A
B
D
E C
F B C B D
E F E D F FIGURE 3 | Quantifying intercellular connectivity patterns with conventional network metrics. (A) Schematic representation of a multicellular system as a network composed
of nodes (cells) and edges (connections or functional associations between cells). (B) Nodes are scaled based on the number of the neighbors to which they are directly
connected, i.e., their degree. This feature is shown schematically for the yellow node, with the direct neighbors colored purple. (C) The clustering coefficient describes the
tendency of nodes to cluster together and is defined as the number of existing connections between the neighbors of that node divided by the number of all possible
connections between them. This property is illustrated by the example of the yellow-colored node, to which non-existing yellow edges between the purple neighboring
nodes have been added. (D) The shortest path length between any two nodes is the number of edges that form the shortest path between them. Lower average shortest
paths of a network indicate more efficient communication abilities. This feature is highlighted by two yellow nodes representing the source and destination nodes and the
purple-colored nodes forming the shortest path. (E) A community consists of a group of nodes that have a higher connection density compared to the whole network. A
well-pronounced community structure implies an internal network organization into functional modules. In panel (E), nodes are color-coded according to their membership in
a community. Frontiers in Endocrinology | www.frontiersin.org DESIGNING FUNCTIONAL BETA
CELL NETWORKS As an alternative, the minimum spanning tree
network can be used. This method represents an unbiased
network construction method which relies on the fully June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 6 Multicellular Networks Within Pancreatic Islets Stozˇer et al. A
B
C
D
E
F
FIGURE 4 | Workflow of functional beta cell network extraction. (A) Confocal image of islet of Langerhans in acute tissue slice with three indicated beta cells (gray,
yellow and violet dots) and indicated islet outline (white curve), exported raw Ca2+ signals of the three beta cells (B) and processed Ca2+ signals (C) of the same
three cells. (D) Pearson correlation coefficient matrix based on filtered and smoothed Ca2+ signals of all cell pairs in the islet. (E) Extracted binary connectivity matrix
based on the thresholded correlation matrix; only cell pairs whose correlations exceeded Rth = 0.82 were considered connected. (F) The corresponding functional
beta cell network. Blue dots denote individual beta cells and gray lines represent functional connections between highly synchronized cells. C B A B F D E
F D F E FIGURE 4 | Workflow of functional beta cell network extraction. (A) Confocal image of islet of Langerhans in acute tissue slice with three indicated beta cells (gray,
yellow and violet dots) and indicated islet outline (white curve), exported raw Ca2+ signals of the three beta cells (B) and processed Ca2+ signals (C) of the same
three cells. (D) Pearson correlation coefficient matrix based on filtered and smoothed Ca2+ signals of all cell pairs in the islet. (E) Extracted binary connectivity matrix
based on the thresholded correlation matrix; only cell pairs whose correlations exceeded Rth = 0.82 were considered connected. (F) The corresponding functional
beta cell network. Blue dots denote individual beta cells and gray lines represent functional connections between highly synchronized cells. between slow Ca2+ oscillations can be driven by metabolic
coupling of neighboring cells, via feedback onto the slow
dynamics by the fast dynamics due to same electrical coupling
(77, 135–139), as well as by intrinsic metabolic characteristics of
beta cells (61). Since both fast and slow oscillations are
synchronized among the cells in an islet, they both contribute
to functional connectivity networks derived from Ca2+ signals
(56, 133, 140, 141). DESIGNING FUNCTIONAL BETA
CELL NETWORKS this method is not only used for determining functional
connectivity between brain regions, but also for the direction
(causality) of these connections and was also successfully utilized
in beta cell research for identifying first responder cells in mouse
islets following glucose stimulation (67). Finally, it should be
noted that particularly in neuroscience more advanced methods
to quantify statistical interdependencies between active nodes are
gaining attention, such as the partial cross-correlation (114, 118,
119), dynamic time warping (120, 121), and minimum jump cost
(122, 123). In our first study in which we employed network analysis to
investigate functional connectivity we showed that beta cells are
most synchronized and densely connected during the activation
phase following the administration of stimulatory levels of
glucose and during the deactivation phase after glucose
stimulation has ceased. During these periods, the functional
connections were mostly independent of the Euclidean
distance between cells within the islet. This behavior may be
because beta cells individually yet synchronously move from
basal [Ca2+]IC to the much higher “plateau” level required to
trigger insulin secretion upon stimulation, and back to baseline
upon termination of stimulation, yielding highly correlated
signals. Notably, similar observations were later also made in
measurements on zebrafish islets in vivo (67). Furthermore, in
the phase of sustained activity (plateau phase), an intermediate
level of synchronization was observed, and the length of
functional connections was considerably lower, suggesting that
the cells are predominantly synchronized via calcium waves
which spread across the islet (62). Moreover, initial studies of Frontiers in Endocrinology | www.frontiersin.org TOPOLOGICAL ANALYSIS OF
FUNCTIONAL BETA CELL NETWORKS Beta cells respond to stimulation with tightly coupled oscillations
in membrane potential and intracellular calcium concentration
[Ca2+]IC leading to insulin secretion (124–128). At present, Ca2+
oscillations can be observed in two distinct time domains: i) fast
Ca2+ oscillations under 20 s long, appearing with a frequency of
about 5 min-1 and corresponding to beta cell bursting electrical
activity (55, 124, 129, 130), and ii) the underlying slow
oscillations with a frequency of around 0.1-0.2 min-1 (56, 131,
132). Gap junctional coupling of beta cells via Cx36 allows for
the electrical linkage as well as the exchange of small molecules
between neighboring cells and mediates principally the
coherence of fast Ca2+ dynamics (133, 134). Correlations June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 7 Multicellular Networks Within Pancreatic Islets Stozˇer et al. beta cell networks have revealed that functional beta cell
connectivity patterns are small-world networks dominated by a
small subset of cells with a high degree offunctional connectivity,
i.e., hub cells (62, 64). The high level of heterogeneity and the
presence of long-range correlations were perhaps the most
striking observations of the earliest studies. The existence of
hub cells was also linked with metabolic profiles, which will be
addressed in more detail in section 5. The presence of long-range
connections that give rise to small-world characteristics was
attributed to various reasons associated with a complex
multicellular dynamics, whereby heterogeneity and a
heterogeneous coupling were highlighted also in theoretical
models (142, 143). dynamics comprises different temporal domains (Figure 5A),
whose activity is coordinated across the islets in a different
manner. In other words, beta cells have fluctuations in
intracellular calcium concentrations at both faster and slower
oscillatory rates, and the networks constructed from these
separate temporal domains have differing properties. Figure 5A shows a representative beta cell response, where the
raw, unfiltered [Ca2+]IC dynamics is shown in gray and yellow
and violet traces represent the filtered signal with only the slow
and only the fast oscillatory component, respectively. In
Figure 5B, the corresponding raster plots of the binarized fast
and slow activity are presented and it can be noticed that both
types of oscillatory dynamics display coordination across the
islet. With these different input signals, three different functional
networks can be constructed and characterized (Figure 5C). The structure of functional networks depends heavily on the
type of the input signal. From Classical Physiological Parameters
to Functional Connectivity Collective activity of beta cells achieved through tightly regulated
electrical coupling of neighboring beta cells (and perhaps also
other cell types) via Cx36 is vital to well-regulated insulin
secretion (152). Functional multicellular imaging has allowed
deeper insight into the importance of multicellular cooperation
and functional connectivity of beta cells within an islet (73, 153–
155). The response of islets to glucose depends on the level of
stimulation. With increasing glucose concentration from
substimulatory (< 6 mM) to supraphysiological glucose
concentrations (> 10mM), the delays to activation of cells
shorten (advancement), and the fraction of beta cell population
involved in the response increases (recruitment) (55, 145, 156–
159). Also, the delay between the activation of cells that respond
first (called first responders) and beta cells in the same islet that
activate later is shortened (55, 156, 160). Compared with
dissociated or uncoupled cells, the probability density of cell
activation in coupled beta cells in islets is narrower and thus the
dose response curve is much steeper. Importantly, all of these
features of the activation phase agree with model predictions, as
excellently reviewed recently by Peercy and Sherman (60). In the
plateau phase, the glucose dependency or the dose response is
evident as an increase in active time or so-called duty cycle,
which is in good agreement with insulin secretion (55, 160–164). During deactivation, the delay before cells turn off is longer for
higher preceding glucose stimulation, however, the heterogeneity
between cells is less than during activation (55, 156, 160). Importantly, a coordinated cessation of activity is important, as
it prevents hypoglycemia. Data suggest that this last phase of
response may be disrupted in uncoupled beta cells and under
diabetogenic conditions (66, 152). Looking at the functional
connectivity of beta cells, a clear transition from more
segregated to more integrated networks can be observed with
increasing glucose concentrations (55, 63). These changes in
activity and functional connectivity are accompanied by a switch
from more local to more global [Ca2+]IC waves (58, 147). However, despite the highly integrated functional connectivity
in high glucose, an islet cannot be regarded as a uniform
supercell sharing identical activity in all its parts. Rather, based In what follows we focus on the fast component of Ca2+
response. Beta cells respond to glucose stimulation in a biphasic
manner (144–146). TOPOLOGICAL ANALYSIS OF
FUNCTIONAL BETA CELL NETWORKS As explained above, the measured Ca2+ A
B
C
FIGURE 5 | Constructing functional beta cell networks from different types of Ca2+ signals. (A) Raw average Ca2+ signal of a representative islet (gray line) with
extracted slow (yellow line) and fast (blue line) signal components. (B) Raster plots showing the activity of the slow (left, yellow dots) and fast (right, blue dots) Ca2+
signals of all cells in the islet. (C) Correlation-based functional networks constructed from unprocessed (left), slow- (middle) and fast (right) Ca2+ signals. Networks
were constructed with a fixed average network node degree kavg = 8.3. The following parameters for each functional network are provided: average correlation
coefficient (Ravg), average clustering coefficient (Cavg), global efficiency (Eglob), largest connected component (Smax), small-world coefficient (SW), average physical
length of functional connections (Davg) and the number of communities (Ncom). A B
C B C C FIGURE 5 | Constructing functional beta cell networks from different types of Ca2+ signals. (A) Raw average Ca2+ signal of a representative islet (gray line) with
extracted slow (yellow line) and fast (blue line) signal components. (B) Raster plots showing the activity of the slow (left, yellow dots) and fast (right, blue dots) Ca2+
signals of all cells in the islet. (C) Correlation-based functional networks constructed from unprocessed (left), slow- (middle) and fast (right) Ca2+ signals. Networks
were constructed with a fixed average network node degree kavg = 8.3. The following parameters for each functional network are provided: average correlation
coefficient (Ravg), average clustering coefficient (Cavg), global efficiency (Eglob), largest connected component (Smax), small-world coefficient (SW), average physical
length of functional connections (Davg) and the number of communities (Ncom). June 2022 | Volume 13 | Article 922640 8 Frontiers in Endocrinology | www.frontiersin.org Multicellular Networks Within Pancreatic Islets Stozˇer et al. Metabolically driven slow dynamic component gives rise to
substantially longer functional connections, due to global slow
Ca2+ waves occurring on a broader temporal scale (56). The slow
component gives rise to a higher average correlation (Ravg), while
the fast component results in higher clustering (Cavg), pointing
out a denser interconnectivity between neighboring cells. Moreover, the network built upon the fast Ca2+ component
results in a lower global efficiency (Eglob) compared to both the
slow and the unfiltered signal, denoting a longer characteristic
path length between beta cells. TOPOLOGICAL ANALYSIS OF
FUNCTIONAL BETA CELL NETWORKS Despite the higher clustering in
the fast component, the lack of long-range connections leads to a
decreased measure of small-worldness (SW). This indicates that
the slow component importantly contributes to the level of
small-worldness of the beta cell functional connectivity
networks, which is an important aspect to consider when
unprocessed signals are used for the analysis. Therefore, in
addition to the insights gained by separating Ca2+ signals into
various components (fast vs. slow vs. a combination of both),
further methodological steps, i.e., signal filtration, affect the
characteristics of functional networks and their implications in
islet function. Finally, it should be emphasized that functional
connectivity describes a statistical relationship between the
measured signals and therefore long enough intervals should
be used to obtain relevant results, particularly when slow
oscillations are analyzed, which display a relatively low
temporal density of events (typically on the order of
magnitude of 0.1 min-1). heterogeneity in the degree distribution implies the existence of
highly connected beta cells, i.e., hub cells that are in this islet
connected to more than 20% of other cells. While some studies
have demonstrated a particular importance of this highly
connected subpopulation of beta cells in orchestrating
collective beta cell activity in healthy islets (148), as well as
their crucial role in pathogenesis of diabetes (54, 58, 64), the
evidence is not unanimous and many details about their
characteristics and the part they play in islet coordination
remain to be elucidated (55, 149–151). Frontiers in Endocrinology | www.frontiersin.org From Classical Physiological Parameters
to Functional Connectivity Following exposure to, there is an activation
phase with a transient rise in [Ca2+]IC and fast Ca2+ oscillations,
during which beta cells are progressively recruited and begin to
operate more synchronously. Heterogeneous activation of beta
cell clusters during activation is reflected in local Ca2+ waves that
are heterogeneous in size (55, 145, 147). Activation is then
followed by a stable plateau phase with synchronized, regular
oscillations and islet-wide activation of beta cells, as indicated
with the replacement of local Ca2+ waves with global Ca2+ waves
(55, 147). This behavior is demonstrated in Figures 6A, B. The
corresponding temporal evolution of functional networks
throughout stimulation is reflected in its characteristics
(Figure 6C), with a higher average node degree, clustering
coefficient, largest component, and a smaller number of
communities during the plateau phase. In other words, with
the increase in activity and coordination cells become more
connected, the network becomes denser and more integrated,
with fewer and bigger communities. The node degree distribution during the plateau phase
decreases roughly potentially with a cut-off in the tail, i.e.,
following an exponentially truncated power law signifying the
broad-scale nature of functional networks (Figure 6D) (55, 62). We wish to point out that physical limitations prevent the
emergence of truly scale-free networks, i.e., a cell cannot be
functionally connected to more cells than there are in a tissue,
and consequently, they are not as ubiquitous in real world as is
often presumed (14). It is worth emphasizing that the noted June 2022 | Volume 13 | Article 922640 9 Multicellular Networks Within Pancreatic Islets Stozˇer et al. A
B
C
D
FIGURE 6 | Characteristics of the functional beta cell network in response to stimulation. (A) Average Ca2+ signal of an islet subjected to a 6-9-6 mM glucose stimulation
protocol. Black line represents the unprocessed Ca2+ signal and the gray line represents the extracted fast component of cellular activity. Colored horizontal arrows
ndicate the selected activation and plateau phases for further analysis. (B) Raster plots showing the binarized fast component of beta cell activity for the activation (left)
and plateau (right) phase as indicated in panel (A). (C) Functional beta cell networks constructed for both phases (left, activation phase; right, plateau phase) based on
fast signal components of all cells with a correlation coefficient threshold for connectivity Rth = 0.8. From Classical Physiological Parameters
to Functional Connectivity The following parameters for each functional network are provided:
average correlation coefficient (Ravg), average clustering coefficient (Cavg), average network node degree (kavg), global efficiency (Eglob), largest connected component (Smax)
and the number of communities (Ncom). (D) Node degree distributions for the networks extracted in the activation (yellow dots) and plateau phase (blue dots). A B B D C C D D FIGURE 6 | Characteristics of the functional beta cell network in response to stimulation. (A) Average Ca2+ signal of an islet subjected to a 6-9-6 mM glucose stimulation
protocol. Black line represents the unprocessed Ca2+ signal and the gray line represents the extracted fast component of cellular activity. Colored horizontal arrows
indicate the selected activation and plateau phases for further analysis. (B) Raster plots showing the binarized fast component of beta cell activity for the activation (left)
and plateau (right) phase as indicated in panel (A). (C) Functional beta cell networks constructed for both phases (left, activation phase; right, plateau phase) based on
fast signal components of all cells with a correlation coefficient threshold for connectivity Rth = 0.8. The following parameters for each functional network are provided:
average correlation coefficient (Ravg), average clustering coefficient (Cavg), average network node degree (kavg), global efficiency (Eglob), largest connected component (Smax)
and the number of communities (Ncom). (D) Node degree distributions for the networks extracted in the activation (yellow dots) and plateau phase (blue dots). insulin content, thus resembling a transcriptionally immature
phenotype due to the low expression levels of signature beta cell
transcription factors. Notably, energetic demands of the functionally
most connected cells can also be estimated by analyzing details of
[Ca2+]IC dynamics. More specifically, we employed methods of
nonlinear time series analysis to reconstruct the phase space and to
compute the dissipative characteristics of individual cells within the
network (167). Hub cells exhibit the highest energy dissipation rates,
which was also predicted theoretically. This concept is
demonstrated in Figure 7, where we show an exemplary islet
with color-coded energy dissipation rates of individual beta cells. In addition, the coordinated collective response of beta cells to
elevated glucose was blunted after silencing the hubs, and restored
after specific stimulation, thus suggesting that they may be necessary
for coordinated islet [Ca2+]IC dynamics (64, 67). From Classical Physiological Parameters
to Functional Connectivity At present, these
findings cannot be completely reconciled with electrophysiological on differences in activation times, activity during the plateau
phase, the origin of [Ca2+]IC waves, and the number of
connections in functional networks, distinct beta cell
subpopulations presumed to have distinct impacts on islet
activity have been defined (54, 55, 59, 62, 64, 67, 165). Beta Cell Subpopulations and Functional
Heterogeneity Similarly, in human islets,
during the first phase of glucose response, small clusters of beta
cells with high activity govern the response, whereas during the
second phase, the electrical coupling becomes more important to
synchronize large multicellular functional clusters (146). Moreover, from the network point of view, cells with the most
functional connections tend to activate sooner (55), but not
necessarily be the first responders (68). Interestingly, the ability
of cells to activate first in response to glucose seems to depend
less on glucokinase activity than on the resting KATP and
junctional conductance, which may in addition to intra-islet
differences between cells (60, 68) also explain some inter-strain
differences in activation (152, 160). At present, there is not
enough consistent evidence for a significant overlap between
hubs, first responders, and wave initiators. However, one feature
which is consistently present in both experimental and modeling
studies in hub cells is their higher-than-average active time or
duty cycle. This may be due to the fact that the hub cells
participate in the great majority of [Ca2+]IC waves and that
their [Ca2+]IC oscillations may be a bit longer and perhaps more
stable than the ones in other cells, which is also able to explain
why their signals are similar to signals from many other cells and
thus their functional connectivity is high (55, 58, 60, 68, 170). and modelling findings, for reasons that arguably originate in
different methodological approaches [for a recent review see (60)]. Our current understanding suggests that in a system of coupled cells
of which all are intrinsically able to oscillate, silencing a small
proportion of cells with the highest number of functional
connections cannot prevent or importantly change the activity of
the remaining cells, except close to the threshold for stimulation
where the majority of cells would otherwise not be active by
themselves (60, 143, 148, 149). Further experiments in a near-
threshold glucose milieu with ablation of hub cells rather than their
silencing may further aid to our understanding of the role of hub
cells in the islet syncytium. Importantly, similar strategies could be
used in future studies to assess the importance of other
subpopulations of cells discussed below. Second, a large degree of beta cell heterogeneity is also evident
from coordinated [Ca2+]IC waves that propagate across islets and
seem to consistently emerge from specific subpopulations of beta
cells named wave initiators or pacemakers. Beta Cell Subpopulations and Functional
Heterogeneity Beta cells with a high number of links in functional networks have
been termed hub cells. They were suggested to govern the
functioning of islet networks by initiating [Ca2+]IC waves (64, 67). According to this view, non-hub cells are believed to only follow
metabolic, electrical, and other signaling cues from the hub cells
(166). Advanced optogenetic and photopharmacological
investigations indicated that hub cells are metabolically highly
active, exhibit hyperpolarized mitochondria and have a lower June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 10 Multicellular Networks Within Pancreatic Islets Stozˇer et al. A
B
FIGURE 7 | Functional network architecture of beta cells and the corresponding energy dissipation rates. (A) Each circle represents the physical position of a cell
inside the islet and the connections signify functional connections. Colors of circles denote the average dissipation rates calculated as the sum of Lyapunov
exponents (see Ref (167). for further details). (B) The average dissipation rate reflecting the rate of energy consumption of individual cells as a function of the node
degree, i.e., number of functional connections. The grey line denotes the linearly decreasing trend showing that highly connected nodes exhibit higher dissipation and
energy consumption rates. B A FIGURE 7 | Functional network architecture of beta cells and the corresponding energy dissipation rates. (A) Each circle represents the physical position of a cell
inside the islet and the connections signify functional connections. Colors of circles denote the average dissipation rates calculated as the sum of Lyapunov
exponents (see Ref (167). for further details). (B) The average dissipation rate reflecting the rate of energy consumption of individual cells as a function of the node
degree, i.e., number of functional connections. The grey line denotes the linearly decreasing trend showing that highly connected nodes exhibit higher dissipation and
energy consumption rates. the one on the plateau. Recent data suggest that the so-called
leaders or first responders tend to cluster in groups that become
larger in higher glucose and that tend to be more active, i.e., have
longer active times, also during the plateau phase (55). Their
removal seems to be able to delay the onset and diminish the
amplitude of subsequent oscillations (67), but they are
dispensable in the sense that if they are ablated another cell
will become a first responder (68). Frontiers in Endocrinology | www.frontiersin.org Beta Cell Subpopulations and Functional
Heterogeneity In
the case of different or the same cells being first responders for
different secretagogues, a cell´s role as a first responder may be
determined by the relative importance of a given component in
the stimulus-secretion coupling cascade in this cell. In addition
to resolving the controversies regarding the importance of
specific subpopulations for normal and pathological islet
functioning, future studies shall therefore also shed light on the
temporal persistence of these roles and their sensitivity to
experimental conditions, such as different secretagogues. Moreover, they shall pinpoint additional subpopulations
of cells and dissect into more detail their molecular,
structural, and additional functional signatures. Additionally, a
consensus among different research groups would be welcome
on the nomenclature and cut-off values for determining
subpopulation sizes. For additional details on the role of
subpopulations in human islets, please see Human Islets and
Coordinated Beta Cell Activity in Health and Disease, and for
some suggestions on how mathematical modelling and
multilayer networks may help address the issue of different
subpopulations, please see Computational Models of Beta Cell
Networks and Islets as Multilayer Networks below. Finally, for
more details on the role of heterogeneity and different beta cell
subpopulations in islets, as well as some suggestions for future
studies, we wish to refer the reader to some other recent articles
addressing this topic in detail (55, 58–60). Altered Connecti it
in Beta Cell Net
orks gap-junctional coupling for the coordinated collective response
(60, 77, 78). Importantly, prolonged exposure to high concentrations of
glucose and fatty acids, as expected in diabetes, was found to
downregulate Cx36 in mice, rats and humans, and may disrupt
the pattern of intercellular synchronization (172–174). Similarly,
studies on Cx36 KO mouse models have also shown an
impairment of normal oscillatory patterns of insulin secretion
elicited by glucose and a diabetic phenotype (77, 78, 152, 175). Moreover, a decrease in Cx36 protein and a smaller size of gap
junction plaques were also observed in prediabetic C57BL/6 mice
fed a high-fat-diet for 60 days (176). Similarly, in diabetic ob/ob
mice the Cx36 protein level is significantly reduced despite a
preserved Cx36 mRNA level, pointing to a decrease in protein
synthesis and/or inappropriate gap junction organization,
leading to deficient electrical coupling between cells (172). Also
the synchronicity of Ca2+ oscillations in ob/ob mice is disturbed,
disrupting the normal insulin secretion pattern (172, 177). Beta Cell Subpopulations and Functional
Heterogeneity These cells could
correspond to highly glucose responsive beta cells that have
increased glucokinase activity (165, 168, 169). Interestingly,
depending on the model employed, they can also exhibit a
lower NAD(P)H response and a faster natural oscillation
frequency than other cells in the islet, including hub cells. Therefore, they are more likely to depolarize first in response
to stimulating glucose concentrations and send depolarizing
currents to neighboring cells (165, 170). At present, it is
undisputable that the great majority of [Ca2+]IC waves are
initiated in a limited number of cells or regions, which do not
necessarily overlap with the regions with most functional
connections (58, 170). Also, it remains to be shown, whether
their removal critically impacts the islet as a whole and which
mechanistic substrates make them initiate the waves. Finally, functional differences between beta cell
subpopulations may change with time and experimental
conditions. For instance, heretofore, the described functional
roles have not been tracked over long periods of time and are Third, analyzing with single cell resolution also the activation
phase enables a comparison of behavior during this phase with June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 11 Multicellular Networks Within Pancreatic Islets Stozˇer et al. thus not necessarily stable properties. Additionally, the cells that
are first responders to glucose may not necessarily be first
responders to some other secretagogue, and the same holds
true for the role of pacemakers and hubs. Moreover, it is
reasonable to assume that to some extent some traits may be
shared between different subpopulations, e.g., some of the first
responders to glucose may be among the first responders to GLP-
1 or among the hub cells. This may again depend on the
experimenter’s definition of the size of subpopulation, with
larger subpopulations possibly generating more overlap than
more narrowly defined subpopulations. In other words, some of
the first responders will with large probability be among the hubs
if one sixth or even one third of the fastest responding cells and
cells with the highest degree are defined as first responders and
hubs, respectively, compared with a lower probability for overlap
if the cut-off is set at one tenth. On the other hand, the overlap
may have to do with genuine biological properties of beta cells. Beta Cell Subpopulations and Functional
Heterogeneity From
a mechanistic point of view, in (pre-)diabetes, a decrease in Cx36
coupling could be a consequence of increased concentrations of
pro-inflammatory cytokines. Interestingly, in both mouse and
human islets a cytokine-mediated decrease in coupling can be
prevented with pharmacological interventions which increase
intracellular cAMP. In this case, in mouse islets the glucose-
stimulated calcium signaling was preserved by increasing the
levels of gap junction protein Cx36 on the plasma membrane
using exendin-4, a glucagon-like peptide (GLP-1) receptor
agonist (178). To protect islets from high-fat-diet induced impairment of
beta cell gap junction coupling and to preserve proper Ca2+
signaling, including Ca2+ oscillation coordination and amplitude,
a relatively simple intervention, namely a 40% caloric restriction,
seems to be very efficient, mirroring similar beneficial effects of
caloric restriction in human patients (179). Additionally, trying
to decipher the effects of vertical sleeve gastrectomy (VSG) on
beta cell function in obese mice, Akalestou et al. have shown that
Ca2+ dynamics as well as the number and strength of
connections between beta cells increase within 8-10 weeks
post-surgery, which could be attributed to the strong influence
of GLP-1 on islet functioning (57). GLP-1 in physiological
picomolar concentrations augments postprandial insulin
secretion. However, it significantly enhances beta cell cluster
activity, coupling, and coordination only in the second phase of
insulin secretion as shown using a microfluidic system with
multielectrode arrays (146). As evident from the above findings,
an important impact on Ca2+ oscillations is mediated by cAMP
acting downstream through at least two different pathways,
namely the guanine nucleotide exchange factor Epac2A and
the protein kinase A (PKA) pathway (178). We wish to point
out that in addition to physiological or pharmacological
stimulation of cAMP production by neurohormonal
secretagogues, glucose itself induces cAMP signaling in beta
cells. This effect is most probably mediated by a Ca2+-
dependent arm through Ca2+-dependent adenylate cyclase
isoforms and by a Ca2+-independent arm through direct ATP
availability or since the concentration of ATP is possibly Frontiers in Endocrinology | www.frontiersin.org Human Islets and Coordinated Beta Cell
Activity in Health and Disease y
During the response to glucose, human beta cells have been
described to display a more regional coordination between cell
clusters compared with responses in mice (189, 190), which
could reflect differences in islet architecture and gap junction
coupling among beta cells in different species (191–193), but at
least partly also due to differences in donor age and health, mode
of preparation, as well culture duration and conditions (191, 192,
194–197). In human islets, diabetes results in disrupted
cytoarchitecture with altered homotypic and heterotypic
communication between different cell types within an islet
(105, 198). The coordinated responses of islets to stimulation
with glucose, glucagon-like peptide 1 (GLP1), and glucose-
dependent insulinotropic polypeptide are also altered possibly
due to a reduction in Cx36 expression. Moreover, perturbed
beta-cell coupling and dysregulation of Cx36-dependent [Ca2+]IC
signaling were observed in islets from donors with a high BMI,
suggesting that lipotoxicity may result in lowered insulin
secretion and progression to diabetes (54). Furthermore,
during ageing, which is associated with increased risk of
diabetes, a significant decline was found in gap junctional
coupling. This was accompanied by reduced overall
coordination of [Ca2+]IC activity, which became restricted to
islet subregions, and diminished insulin secretion. However,
activating gap junctional communication using modafinil, a
pharmacologic activator of Cx36 electrical coupling,
successfully reversed the age-related decline in synchronization
of [Ca2+]IC signals (190). Supporting these observations,
advanced optogenetic methods in combination with complex
computational tools, confirmed differences in the coordinated
responses to glucose between mouse and human beta cells. In
human islets, [Ca2+]IC waves seem to be initiated from specific
subregions called pacemaker or leader regions with specific
metabolic profile and local excitability (54, 64, 71, 165). The
synchronization patterns are more clustered compared to mice
and the collective behavior of beta cells becomes altered in
diabetes (67, 145). Our own research indicates that in type 2
diabetic islets glucose-dependence is still present, but beta cell
activity seems to be reduced, mostly due to a reduced oscillation
frequency. Furthermore, human beta cell networks are more
segregated than mouse networks and in diabetic islets more than
in islets from control donors. This is accompanied by smaller and
more locally restricted [Ca2+]IC waves. Importantly, the hub
regions seem to lose a disproportionately large fraction of
connections, especially the long-range ones (58). Altered Connectivity in Beta Cell Networks
and Its Relevance in Diabetes Adequate intercellular electrical coupling through gap junctions
is essential for synchronized beta cell activity. In basal glucose,
insulin release is low since the less active beta cells keep the
intrinsically more active beta cells quiescent through junctional
hyperpolarization or clamping (152, 171). In contrast, during
increasing stimulation, more and more cells become active and
intercellular coupling may facilitate recruitment of the least
active cells. In Cx36 knock-out (Cx36 KO) mice, the response
of beta cells to glucose resembles that of dispersed cells in culture
including increased basal and lower stimulated insulin
secretion, thereby confirming the theoretically predicted role of June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 12 Multicellular Networks Within Pancreatic Islets Stozˇer et al. saturating for adenylate cyclases even in basal glucose, through a
decrease in inhibitory AMP. Moreover, cAMP oscillates in beta
cells in response to stimulation by both glucose and extracellular
primary messengers with the same period as electrical activity
and [Ca2+]IC. The mechanism underlying these oscillations may
differ depending on the experimental protocol. As [Ca2+]IC can
influence cAMP production and degradation, oscillations in
cAMP may at least partly be due to oscillations in [Ca2+]IC. This seems to be supported by the observation that oscillations in
[Ca2+]IC and cAMP are typically in phase or occur with a slight
shift. Pharmacological activation of GLP-1 receptors and/or
direct activation of adenylate cyclase by forskolin are unable to
stimulate beta cells in low glucose but can significantly enhance
glucose-stimulated Ca2+ oscillations (180–182). Indeed, by
constructing functional connectivity networks we have recently
shown that increasing cAMP levels using forskolin increases beta
cell activity as well as enhances synchronicity and coordination
of intercellular signaling, evident as denser and more integral
networks (180, 183). While both slow and fast Ca2+ oscillations
rely on periodic entry of Ca2+ from extracellular space into the
beta cells through voltage-activated Ca2+ channels, the fast Ca2+
oscillations may also depend on mobilization of intracellular
Ca2+ stores from the endoplasmic reticulum. Therefore,
pharmacological agents that increase cAMP may promote the
appearance of fast Ca2+ waves (184, 185). inhibition also stabilizes the course of [Ca2+]IC waves and the
role of wave initiators (69). Altered Connectivity in Beta Cell Networks
and Its Relevance in Diabetes Given the importance of connectivity
for normal and pathological functioning of islets and the fact that
the network analyses are able to detect effects of non-
pharmacological and pharmacological interventions beyond the
classical physiological measures of beta cell activity, they are a
promising tool to detect early changes during progression to
diabetes and non-classical effects of new therapeutic
approaches (188). Frontiers in Endocrinology | www.frontiersin.org Human Islets and Coordinated Beta Cell
Activity in Health and Disease Loss of gap junction
connectivity in Cx36 KO mouse islets desynchronizes beta cell nectivity in Cx36 KO mouse islets desynchronizes beta cell
cells, and an overall decrease in local connectedness, as well as i
A
B
C
D
URE 8 | Multicellular activity and functional connectivity maps in a control (wild type) mouse islet (A), an uncoupled (Cx36 KO) mouse islet (B), human islet from
ormal donor (C), and human islet from a donor with T2D (D). Left column visualizes Ca2+ activity with indicated stimulation intervals. Bars indicate 3- (light gray),
gray) and 12- (dim gray) mM glucose stimulation. Note that 3 mM glucose was used as the substimulatory concentration in (B-D), as 6 mM can already evoke
vity in these islets (unlike in control mouse islets). Inserts show short intervals of selected cellular signals. Middle column features the correlation matrices
acted from Ca2+ signals. Correlation levels between cell pairs are color-coded as indicated with the color bar (the same scale refers to all four panels). In the right
umn the corresponding functional networks are presented, which were obtained by thresholding the correlation matrices (Rth = 0.7). Along with networks, the key
ameters are provided: average correlation (Ravg), average clustering coefficient (Cavg), average network node degree (kavg), global efficiency (Eglob), largest
nected component (Smax), and the number of communities (Ncom). A B B C C D D D FIGURE 8 | Multicellular activity and functional connectivity maps in a control (wild type) mouse islet (A), an uncoupled (Cx36 KO) mouse islet (B), human islet from
a normal donor (C), and human islet from a donor with T2D (D). Left column visualizes Ca2+ activity with indicated stimulation intervals. Bars indicate 3- (light gray),
6- (gray) and 12- (dim gray) mM glucose stimulation. Note that 3 mM glucose was used as the substimulatory concentration in (B-D), as 6 mM can already evoke
activity in these islets (unlike in control mouse islets). Inserts show short intervals of selected cellular signals. Middle column features the correlation matrices
extracted from Ca2+ signals. Correlation levels between cell pairs are color-coded as indicated with the color bar (the same scale refers to all four panels). In the right
column the corresponding functional networks are presented, which were obtained by thresholding the correlation matrices (Rth = 0.7). Human Islets and Coordinated Beta Cell
Activity in Health and Disease Figure 8 Many other pharmacological substances and drug candidates
for diabetes treatment can affect beta cell connectivity patterns by
targeting different signaling pathways, but to the best of our
knowledge, apart from the cAMP-elevating agents only a few
have been investigated using network measures. In this regard,
glutamate signaling via N-Methyl-D-Aspartate receptors
(NMDARs) has been demonstrated to play an important role
in beta cell function by shortening the duration of bursts of
electrical activity and therefore fast [Ca2+]IC oscillations, with
NMDAR antagonists being able to prolong the duty cycle by
prolonging these bursts (186, 187). More specifically, following
glucose metabolism, increased ATP inhibits KATP channels and
causes plasma membrane depolarization, resulting in activation
of voltage-dependent Ca2+ channels, increase in [Ca2+]IC, and
insulin secretion. A negative regulation of this pathway is
mediated by NMDARs. Under physiological conditions, these
receptors are probably fully saturated with glutamate originating
from glutamate in blood, from glutamate secreted by alpha cells,
or from glutamate exported by beta cells through excitatory
amino acid transporters. Membrane depolarization is therefore
able to activate NMDARs, which in turn activate KATP channels
and Ca2+- dependent K+ channels (SK4 channels) through a not
fully understood functional interaction, thus hyperpolarizing the
membrane, terminating the bursts of membrane depolarization
and shortening Ca2+ oscillations. NMDAR inhibition interferes
with this negative feedback loop and prolongs bursts and Ca2+
oscillations (69, 186–188). Representing the spreading [Ca2+]IC
waves as network layers, we have recently shown that the
inhibition of NMDARs not only increases beta cell activity but
also stabilizes and synchronizes intercellular connectivity
patterns. Within consecutive [Ca2+]IC waves, NMDAR June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 13 Multicellular Networks Within Pancreatic Islets Stozˇer et al. [Ca2+]IC responses, resulting in poor cell-cell correlation and
sparse functional networks (Figure 8B). The changes in
intercellular coupling are reflected in key network parameters,
e.g., a lower average correlation (Ravg), scarcely connected beta
cells, and an overall decrease in local connectedness, as well as in summarizes how differences in structural connectivity between
control and Cx36 KO islets, as well as between mouse and
human islets from normal and diabetic donors, translate to
differences in functional connectivity. Human Islets and Coordinated Beta Cell
Activity in Health and Disease In human islets, [Ca2+]IC waves are
heterogeneous in size and mostly encompass only smaller
regions of the islet, in contrast to global, islet-wide [Ca2+]IC
waves in mice (58, 147). Both can be at least partly contributed to
structural differences, particularly a higher proportion of alpha
cells and a more lobular structure in human islets, promoting a
higher number of heterologous contacts between alpha and beta
cells and possibly introducing bottlenecks for spreading of global
[Ca2+]IC waves between the more segregated subregions (189,
192, 193). We wish to point out that despite this larger degree of
segregation, human islets still seem to be able to produce [Ca2+]
IC waves that involve the great majority of islet beta cells but do
so much less often compared with mouse islets where globally
synchronized oscillations are the rule rather than an exception
(58, 197). Due to the abovementioned structural and functional
differences, human islets may even be more prone to losing the
ability to produce globally synchronized [Ca2+]IC with decreases
in intercellular coupling under pathological conditions. Along
this line, the functional connectivity patterns in islets from
diabetic human donors (Figure 8D) are indeed much sparser
and more segregated compared with islets from healthy controls,
indicating thereby a higher fraction of inactive regions and a lack
of larger and coherent [Ca2+]IC waves (58). Finally, while much
of the evidence on the role played by decreased intercellular
coupling in development of diabetes presented in the last two
chapters may be circumstantial, we wish to point out that when
taken together, some excellent recent studies nevertheless suggest
that decreased Cx36 coupling is at least partly causative. More
specifically, knockout of Cx36 leads to a diabetic phenotype (78),
some degree of decrease in Cx36 is present in diabetic islets and
improving this by pharmacological (178, 190) or dietary
interventions (178) is sufficient to improve islet function. However, more studies in this direction are needed to quantify
the contribution of decreased coupling and determine whether
improving coupling is a viable treatment option for diabetes. Human Islets and Coordinated Beta Cell
Activity in Health and Disease Along with networks, the key
parameters are provided: average correlation (Ravg), average clustering coefficient (Cavg), average network node degree (kavg), global efficiency (Eglob), largest
connected component (Smax), and the number of communities (Ncom). June 2022 | Volume 13 | Article 922640 14 Frontiers in Endocrinology | www.frontiersin.org Multicellular Networks Within Pancreatic Islets Stozˇer et al. research and have also served as a paradigmatic case study for
emergent networks [for excellent reviews see (60, 125, 199–201)],
but the interest for the design of multicellular models has
increased over the last few years. This is in part due to growing
computational resources, which facilitate multiscale simulations of
beta cell populations, but also due to advances in experimental
techniques, which have provided valuable new data on
microarchitecture and intercellular dynamics. Several studies
have utilized computational models to investigate how
intercellular coupling facilitates beta cell synchronization (138,
202–206) and the propagation of [Ca2+]IC waves (74, 207, 208). In
recent years, specific attention has been given to cellular
heterogeneity and to how the collective activity emerges from
functionally heterogeneous beta cell subpopulations (71, 143, 145,
147, 148, 165, 169, 209). In the context of complex beta cell
networks, it has been demonstrated that the coupling scheme
between the beta cells represents the basis for the functional
connectivity patterns, but the relation relies heavily on various
physiological determinants, such as the level of stimulation,
cellular noise, and the coupling parameters (210). Multicellular
models have also been employed to study the occurrence of long-
range connections in functional beta cell networks. Importantly, it
has been demonstrated that long-range synchronicity can in
principle be established solely by the propagation of excitation
waves through nearest-neighbor-coupled networks, if the cells and
the coupling strengths are heterogeneous (142, 143, 211). In recent
years, particular emphasis has also been given to the role of
functional subpopulations, such as hubs and pacemaker cells,
although their exact roles remain somewhat debatable. This is in
part also due to the inconsistent use of terminology in the
literature, but with some more recent papers this aspect is
improving (55, 59, 60). It has been shown by numerical
simulations that the inclusion of specialized hub cells
importantly affects the collective activity on different temporal
scales (212). Human Islets and Coordinated Beta Cell
Activity in Health and Disease Furthermore, by silencing a few hub cells within the
islet it was possible in principle to abolish whole-islet [Ca2+]IC
activity in simulations, similarly to what was noted experimentally,
but as mentioned before, only close to the threshold glucose
stimulation (148). Later studies incorporating in-depth
numerical analyses alleviated these findings a bit by showing
that removing the metabolically most active and heavily
connected cells or cells with the highest intrinsic frequencies
does not diminish whole-islet activity (60, 143, 170). These
results suggest that the whole-islet [Ca2+]IC activity is probably
not driven by a very small (<10%) subpopulation of extraordinary
cells and that the islets are robust to loss of small groups of cells,
even if they have special attributes, as would be expected for
evolutionary robust assemblies of intrinsic oscillators (60, 213). To
sum up, the recent theoretical works have partly confirmed some
of the recent experimental findings and thereby contributed to our
understanding of the complex signaling mechanisms within the global efficiency compared to the control islet (Figures 8A, B). Conversely, despite having a comparable average correlation as
Cx36 KO islets, human islets have better connected beta cells, are
more locally integrated, and have a significantly higher number
of communities. Their global integration, reflected in Eglob,
however, is comparable to Cx36 KO mice islets, indicating a
lack of long-range functional connections between subregions of
the islet due to the relative lack of global [Ca2+]IC waves
compared with mice (Figure 8C). Clusters of beta cells in
human islets form communities (while Cx36 KO islets do not),
these different communities are also connected, but much less
than in islets in control mice, where global [Ca2+]IC waves and
thus globally synchronized [Ca2+]IC oscillations are the rule
rather than the exception. In human islets, [Ca2+]IC waves are
heterogeneous in size and mostly encompass only smaller
regions of the islet, in contrast to global, islet-wide [Ca2+]IC
waves in mice (58, 147). Both can be at least partly contributed to
structural differences, particularly a higher proportion of alpha
cells and a more lobular structure in human islets, promoting a
higher number of heterologous contacts between alpha and beta
cells and possibly introducing bottlenecks for spreading of global
[Ca2+]IC waves between the more segregated subregions (189,
192, 193). Human Islets and Coordinated Beta Cell
Activity in Health and Disease We wish to point out that despite this larger degree of
segregation, human islets still seem to be able to produce [Ca2+]
IC waves that involve the great majority of islet beta cells but do
so much less often compared with mouse islets where globally
synchronized oscillations are the rule rather than an exception
(58, 197). Due to the abovementioned structural and functional
differences, human islets may even be more prone to losing the
ability to produce globally synchronized [Ca2+]IC with decreases
in intercellular coupling under pathological conditions. Along
this line, the functional connectivity patterns in islets from
diabetic human donors (Figure 8D) are indeed much sparser
and more segregated compared with islets from healthy controls,
indicating thereby a higher fraction of inactive regions and a lack
of larger and coherent [Ca2+]IC waves (58). Finally, while much
of the evidence on the role played by decreased intercellular
coupling in development of diabetes presented in the last two
chapters may be circumstantial, we wish to point out that when
taken together, some excellent recent studies nevertheless suggest
that decreased Cx36 coupling is at least partly causative. More
specifically, knockout of Cx36 leads to a diabetic phenotype (78),
some degree of decrease in Cx36 is present in diabetic islets and
improving this by pharmacological (178, 190) or dietary
interventions (178) is sufficient to improve islet function. However, more studies in this direction are needed to quantify
the contribution of decreased coupling and determine whether
improving coupling is a viable treatment option for diabetes. Computational Models of Beta global efficiency compared to the control islet (Figures 8A, B). Conversely, despite having a comparable average correlation as
Cx36 KO islets, human islets have better connected beta cells, are
more locally integrated, and have a significantly higher number
of communities. Their global integration, reflected in Eglob,
however, is comparable to Cx36 KO mice islets, indicating a
lack of long-range functional connections between subregions of
the islet due to the relative lack of global [Ca2+]IC waves
compared with mice (Figure 8C). Clusters of beta cells in
human islets form communities (while Cx36 KO islets do not),
these different communities are also connected, but much less
than in islets in control mice, where global [Ca2+]IC waves and
thus globally synchronized [Ca2+]IC oscillations are the rule
rather than the exception. June 2022 | Volume 13 | Article 922640 FRONTIERS OF ISLET NETWORK
SCIENCE: ASSESSING MULTICELLULAR
ACTIVITY BY MULTILAYER NETWORKS
AND GOING BEYOND CALCIUM To date, biomedical endeavors employing the MLN concepts
have been mostly limited to molecular and brain networks. In the
former, the MLN formalism is predominantly used to assess the
interdependent biochemical networks extracted from linked
genomic, proteomic, and metabolomic data (227–230), whereas in
the latter, these methods are used to address the temporal evolution
of brain networks and rewiring dynamics (231–234), associations
among different frequency bands (235–238), and to explore the
longstanding issue about the interplay between brain structure and
dynamics (36, 239, 240). On the level of tissues and intercellular
interactions, the MLN methodological directions are still rather
unexplored, even though the number of potential applications is
large, particularly in pancreatic islets. We therefore present here
some specific examples on how the MLN theory has been and could
be further integrated into islet research (Figure 10). They are
explained in continuation and encompass the assessment of
different temporal scales of oscillatory activity, tracking the
network evolution during prolonged stimulations or
pharmacological interventions, following the course of the
intercellular signals, characterization of heterologous interactions
between different cell types, and the evaluation of the multicellular
beta cell function by simultaneously acquiring multiple
measured variables. The Many Layers of Multicellular Networks
Pancreatic islets are non-stationary complex systems governed
by different oscillatory subsystems, they are characterized by
different types of interactions, and their function can be captured
with different measures and parameters. Therefore, the standard
network approach focusing on single networks in isolation might
be insufficient to unveil the functional regulatory patterns
originating from complex interactions across multiple layers of
physiological relationships and processes. In the last few years,
the multilayer network (MLN) formalism has emerged as a new
research direction to engage with such multi-dimensional
systems (19, 218–221), including in the area of biomedical
research (18, 222–224). By means of the MLN formalism, it is
possible to track the evolution of interactions among entities over
prolonged periods of time, evaluate precisely the changes caused
by altered experimental conditions, such as addition of
pharmacological substances or the development of a disease,
explore the associations between different temporal and spatial
scales, and characterize different types of interactions. In this
way, a much more precise insight into the architecture and
dynamics of biological systems can be acquired, compared to
single-layer analyses only. While standard networks can be
represented by adjacency matrices (see Figures 4, 8), for MLNs
higher-order matrices, i.e., tensors, are required. Computational Models of Beta
Cell Networks The new findings by network science about the complex nature of
intercellular activity patterns and the specific roles played by
certain cells were recognized as theoretically very appealing and
have inspired the development of multicellular beta cell models. Mathematical modelling approaches have a long tradition in islet June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org Multicellular Networks Within Pancreatic Islets Stozˇer et al. supra-adjacency with a block structure matrix is used, in which
diagonal blocks encode intra-layer connectivity and off-diagonal
blocks encode inter-layer connectivity (Figures 9A, B). This
framework allows for expansion of the traditional network
analysis by examining interlayer similarity, overlapping
(weighted) degrees and other measures, detection of modular
super-units, identification of most central units, etc. (225, 226). In the context of beta cell networks, these MLN metrics can be
used for example to assess the spatio-temporal beta cell network
persistency, to quantify the effects of pharmacological
interventions or to identify signal-specific functional
subpopulations, as well as to determine how they change with
time, as specified in more detail below. effect of incretins (217), as well as long feedback loops, for instance
between the liver and the pancreas (137). We firmly believe that
the tools developed in the field of computational physiology and
network science will help us to address these issues and will
provide us further insights into functional properties, as well as the
underlying mechanisms that guide the multicellular dynamics of
endocrine cells. FRONTIERS OF ISLET NETWORK
SCIENCE: ASSESSING MULTICELLULAR
ACTIVITY BY MULTILAYER NETWORKS
AND GOING BEYOND CALCIUM Formally, to
represent connectivity within and between network layers, a Islets as Multilayer Networks Within this new framework, each region of the brain is
mapped into a network node and replicated across all layers
encoding frequency bands. Such representation of functional
connectivity is better able to distinguish between brain
functional connectivity patterns in health and disease (246). induced pathogenesis by monitoring the activity in islets
transplanted into the anterior chamber of the eye (67, 249). In
Figure 10B, a hypothetical scenario is presented, illustrating how
the average temporal activity and the corresponding functional
connectivity maps evolve when islets are subjected to stimulation
by candidate drugs. Third, [Ca2+]IC waves are the main synchronizing mechanism
between beta cells and their course depends heavily on cellular
heterogeneity and intercellular interaction patterns. Because of
the rich information encoded in individual waves, they represent
the perfect candidates for being studied via MLN analysis. By this
means, each individual wave can be regarded as an individual
layer in which the connections are weighted and directed. We
wish to point out that this is in stark contrast with the traditional
way of constructing networks based on longer time series that
include many waves and are based on similarity measures. The
directionality of connections indicates the path of the
intercellular signal, and the weights reflect the temporal delay
between cell pairs that are subsequently activated along the
course (69). We schematically present this approach in
Figure 10C. On the left panel the activation sequence of 9 cells
in 5 waves is shown in the form of a raster plot, and on the right
panel the corresponding directed and weighted networks of
waves are shown in their temporal order. Notably, we
leveraged this approach in a recent study where we quantified
the differences in collective beta cell activity between prolonged
glucose stimulation only and stimulation by glucose and the
NMDA receptor inhibitor MK-801 (69), which was previously
shown to increase beta cell activity and synchronicity (186, 187). In our study, we focused on the velocity of intercellular [Ca2+]IC
waves and their temporal stability. Since each layer encodes the
exact path of the wave (direction of connections) and the time
delays between cells (weights of connections), one can compute
the exact wave propagation velocity based on the geodesic path
length between wave initiator cells and the last cells that activated
as the sum of the weights of this path. Islets as Multilayer Networks As explained above, mouse beta cells in isolated islets and in
pancreatic tissue slices oscillate at different temporal scales when A
B
FIGURE 9 | Multilayer representation of a multicellular network. (A) A multilayer network consists of different network layers, each one represented by an adjacency
matrix. (B) A rank-2 tensor, generally known as the supra-adjacency matrix, can be used to describe and analyze both intra- and inter-layer connectivity. B A B FIGURE 9 | Multilayer representation of a multicellular network. (A) A multilayer network consists of different network layers, each one represented by an adjacency
matrix. (B) A rank-2 tensor, generally known as the supra-adjacency matrix, can be used to describe and analyze both intra- and inter-layer connectivity. June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 16 Multicellular Networks Within Pancreatic Islets Stozˇer et al. exposed to stimulatory glucose concentrations (56, 130, 241,
242). The slow oscillatory component with a period of several
minutes is believed to reflect metabolic activity and drives the
oscillatory ATP production (243, 244). Superimposed on the
slow and sometimes occurring without them are so-called fast
[Ca2+]IC oscillations with a glucose-dependent frequency of
around 5 min-1 and duration of around 2-15 s (55, 131, 159,
160), which reflect the bursting pattern of electrical activity. Both
slow and fast oscillations are synchronized between different beta
cells of the same islet and contribute to proper secretion patterns
(133, 137, 140, 141, 245). To quantify how the multimodal
oscillatory pattern manifests itself on the multicellular level, a
multiplex network representation can be used (56). More
specifically, using a band-pass filter, the slow and fast
oscillatory component can be extracted separately from the
[Ca2+]IC recordings, and these signals can be used to construct
individual network layers, as demonstrated in Figure 10A. Previous analyses have shown that the slow oscillations are
more global, resulting in several long-range connections and
networks extracted from them have a more cohesive structure
compared to the networks based on fast oscillations. Moreover,
there was only a weak relation between the fast and slow network
layer characteristics, which suggests that different
synchronization mechanisms shape the collective cellular
activity in islets (56). Of note, a conceptually similar approach
is commonly applied in neuroscience to construct frequency
band-specific multi-layered functional brain networks (236,
237). Frontiers in Endocrinology | www.frontiersin.org Islets as Multilayer Networks Our analysis revealed that
the propagation velocity did not change either under prolonged
stimulation with glucose or under the action of NMDA receptor
inhibitor. However, when quantifying the inter-layer similarity,
we found that the wave initiator regions and the stability of wave
paths increased dramatically when the NMDA receptors were
inhibited. In this manner, we were able to identify the key factor
underlying the more synchronous behavior. As such, the
proposed methodology can help quantitatively evaluate the
impact of pharmacological interventions on multicellular
dynamics beyond classical physiological or network parameters
and is applicable to other secretagogues and multicellular
systems as well. The second conceivable frontier of network analyses is the
investigation of network dynamics. The so-called temporal
networks offer mathematically principled models of evolving
networks. as well as a battery of statistical variables to
characterize their evolution (19, 218). Layers are to that
purpose typically generated on the basis of a series of (possibly
overlapping) time windows and the nodes are linked only across
sequential replicas to indicate identity. Mapping the temporal
changes in connectivity patterns is meaningful in biomedical
sciences as well (231, 247, 248) and could be very beneficial for
the description of information flow and dynamic interaction
patterns within the islets. More specifically, the activity patterns
in these mini-organs are remarkably complex already under
constant stimulation (147), and even more in a dynamic in
vivo environment (67, 249, 250). In this vein, the multilayer
model for time-varying networks could be used to explore
fluctuations in functional connectivity during prolonged or
variable stimulation of cells, as well as to assess the functional
adaptation and plasticity after repeated stimulations (48, 63). Moreover, from the viewpoint of the recent developments in the
field, MLN could represent a viable approach to track the
network evolution after targeting specific cells via optogenetic
and photopharmacological strategies (59, 64). In addition, with
this approach one could track the changes in islets during diet- Fourth, the pancreatic islets are multicellular micro-organs
that comprise predominantly alpha, beta, delta cells and
communication among them is essential for proper function
(73, 214, 251, 252). June 2022 | Volume 13 | Article 922640 Islets as Multilayer Networks While direct electrical coupling through gap-
junctions is the key determinant ensuring synchronous beta cell
activity (76, 77) and was also found to be present between beta
and delta cells (253, 254), islet cells also communicate by
paracrine, autocrine, and other juxtacrine signaling pathways June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 17 Multicellular Networks Within Pancreatic Islets Stozˇer et al. (73, 215, 252). It is well known that this variety of intercellular
signal mechanisms is essential for a synergistic cooperation
between islet cells and this represents one of the most vibrant
issues in islet cell biology. With the recent advances in
multicellular imaging of islet networks, our ability to dissect
individual components of cell-cell communication has much
improved (73). In this regard, the MLN formalism could be
advantageous by providing the means to decipher the
complexity of islet communication. In Figure 10D we
illustrate a MLN representation of the endocrine cell crosstalk
within the islets with some of their paracrine interactions. Within the framework of the MLN paradigm, networks of
different types of cells could be constructed based on their
[Ca2+]IC signals and compared with networks based on the
physical positions of cells and their paracrine or other
interactions. Additionally, the relative contributions of
different local signals could be dissected using the MLN
approach through application of different agonists and
antagonists as described in the second paragraph above. Interestingly, in a similar context, the MLN approaches have
already been used to study the neural network of C. elegans by
using multiple layers to represent different types of connections
between neurons, which has led to novel findings about the
functional organization of this famous neuronal network (255,
256). Very recently, muscle cells and further modes of
interactions between cells have been incorporated as
additional layers to this scheme, providing thereby an even
deeper knowledge of the C. elegans connectome (257). Along
similar lines, Virkar et al. proposed a multilayer network to
study diffusive transport of metabolic resources among the glial
network and to the synapses in the neuronal network
layer (258). example, glucose stimulation can stimulate insulin secretion
even when [Ca2+]IC is clamped (270). Moreover, in (pre)
diabetes increased efficacy of Ca2+ on the secretory apparatus
can directly enhance insulin secretion (174, 271). Thus, to what
extent multi-modal profiling of islet network activity should be
undertaken to better understand islet behavior and dysfunction
in disease? Islets as Multilayer Networks The most obvious methodological approaches to
provide additional layers of data would involve simultaneous
imaging of physiological processes either up- or down-stream
of [Ca2+]IC dynamics. Although the candidates described below
are certainly not an exhaustive list, several measures may be
considered when adding additional layers of information to
these networks. More specifically, individual steps of the
stimulus-secretion coupling cascade could form individual
layers of MLNs and the interactions between the steps would
constitute inter-layer connectivity. To date, several candidates
for individual layers meet the criterion of being experimentally
measurable and having an adequate spatial and temporal
resolution, as well as ranging from the most proximal to the
most distal steps. We wish to point out that genetically encoded
sensors (including for Ca2+) may allow greater specificity in
measurements when targeted to the cell cytosol, mitochondria,
or other relevant intracellular organelles or sub-cellular
locations, and greater cell specificity when expressed under
the control of relevant promotors (for example the insulin
promoter) in engineered model animals, such as mice or
zebrafish, or when delivered to human islet cells, typically by
adenoviral vectors (181). If we follow the stimulus-secretion coupling cascade,
although cellular glucose uptake can be measured using a
fluorescent probe (272), and this can be combined with [Ca2+]
IC responses in islet cells (273), additional information on the
metabolic activity of islet cells can also be gained using
approaches that more directly assess relevant metabolic
signals. In this regard, sensors reporting glycolysis (the most
proximal signaling step) have provided insight into the
regulation of oscillatory metabolic activity and can be
characterized by oscillations in phosphofructokinase-1 (PFK1)
activity and its product fructose-1,6-bisphosphate (FBP) (274),
and pyruvate kinase activity (244, 275). Moreover, several
approaches to monitor mitochondrial or cellular metabolic
function have been adopted for use in pancreatic islets over
the last decades. NAD(P)H autofluorescence is a long-used
indicator of islet cell metabolic function (276–278), the signal
which is generally dominated by mitochondrial activity (279). Chemical probes reporting mitochondrial membrane potential
have been used to monitor mitochondrial activity within islets
coincident with [Ca2+]IC responses (244, 280, 281). Additionally, mitochondrial oscillations can be optically
monitored by measuring the signals from mitochondrial
flavins (244). Furthermore, sensors for NADPH (282) or
H2O2 (283) have provided insight into redox-dependent
control of islet function. Genetically encoded probes for ATP
have revealed signaling microdomains (284) and the
relationship between mitochondrial Ca2+ and cytosolic ATP/
ADP ratios (285). Frontiers in Endocrinology | www.frontiersin.org Islets as Multilayer Networks (D)
ologous and homologous interactions within the islets visualized as a multilayer network. (E) Hypothetical simultaneously measured dynamics of [Ca2+]IC, intracellular
and insulin release along with the corresponding functional network layers. Intralayer connections represent functional connections between time series of the same
les, whereas the interlayer connections stand for associations between different measured variables. A B B B C
D
E
FIGURE 10 | The MLN formalism can be used to study various aspects of collective dynamics and cellular activity patterns within the pancreatic islets. (A) A hypothetical
raw [Ca2+]IC signal and the extracted slow and fast components (left panel). The two different oscillatory components are then used to construct a two-layered multiplex
functional beta cell network (right panel). (B) Typical [Ca2+]IC activity in a pancreatic islet subjected to a hypothetical protocol (upper panel) and the corresponding temporal
functional network layers extracted from specific time intervals (lower panel). (C) A schematic presentation of how network layers are designed from individual intercellular
[Ca2+]IC waves. The left panel features a raster plot indicating the onsets of oscillations of cells within specific waves and the right panel visualizes the corresponding network
layers. The direction and weights of connections within each layer denote the course and the temporal lag between subsequent oscillation onsets, respectively. (D)
Heterologous and homologous interactions within the islets visualized as a multilayer network. (E) Hypothetical simultaneously measured dynamics of [Ca2+]IC, intracellular
ATP, and insulin release along with the corresponding functional network layers. Intralayer connections represent functional connections between time series of the same C C E D E E D D FIGURE 10 | The MLN formalism can be used to study various aspects of collective dynamics and cellular activity patterns within the pancreatic islets. (A) A hypothetical
raw [Ca2+]IC signal and the extracted slow and fast components (left panel). The two different oscillatory components are then used to construct a two-layered multiplex
functional beta cell network (right panel). (B) Typical [Ca2+]IC activity in a pancreatic islet subjected to a hypothetical protocol (upper panel) and the corresponding temporal
functional network layers extracted from specific time intervals (lower panel). (C) A schematic presentation of how network layers are designed from individual intercellular
[Ca2+]IC waves. The left panel features a raster plot indicating the onsets of oscillations of cells within specific waves and the right panel visualizes the corresponding network
layers. Islets as Multilayer Networks Combined imaging of these and other Finally, as illustrated at length above, intracellular [Ca2+]IC
responses of islet beta cells represent an accessible and well-
characterized approach to assess islet activity, with tremendous
insight to be gained about islet behavior. However, stimulus-
secretion coupling involves several steps from receptor binding
or metabolism of a secretagogue to membrane depolarization
and secretion of insulin granules (133, 259–261). These
intracellular signaling steps interact with each other and are
finely tuned by additional physiological, pathological, and
pharmacological triggering and amplifying factors (133, 141,
262, 263). The [Ca2+]IC signal itself is determined by a number
of upstream processes that include glucose entry, cellular and
mitochondrial metabolism, and electrical responses leading to
action potential-dependent Ca2+ entry and an interplay with
intracellular buffering and storage mechanisms (216, 261, 264). It is important to note that Ca2+ is not just an indicator of
cellular activity but is indeed a key mediator for downstream
processes required for insulin secretion itself (265), where a
glucose-stimulated uptake of Ca2+ (266) triggers the fusion of
insulin granules with the cell plasma membrane to elicit insulin
release by exocytosis (267–269). Thus, while Ca2+ is generally a
good indicator of islet cell activity, it is not reporting all relevant
cell physiological processes, and indeed may not always be
directly concordant with insulin secretory function. As one June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 18 Multicellular Networks Within Pancreatic Islets Stozˇer et al. A
B
C
D
E
RE 10 | The MLN formalism can be used to study various aspects of collective dynamics and cellular activity patterns within the pancreatic islets. (A) A hypothetical
Ca2+]IC signal and the extracted slow and fast components (left panel). The two different oscillatory components are then used to construct a two-layered multiplex
onal beta cell network (right panel). (B) Typical [Ca2+]IC activity in a pancreatic islet subjected to a hypothetical protocol (upper panel) and the corresponding temporal
onal network layers extracted from specific time intervals (lower panel). (C) A schematic presentation of how network layers are designed from individual intercellular
IC waves. The left panel features a raster plot indicating the onsets of oscillations of cells within specific waves and the right panel visualizes the corresponding network
The direction and weights of connections within each layer denote the course and the temporal lag between subsequent oscillation onsets, respectively. Frontiers in Endocrinology | www.frontiersin.org CONCLUSION Since the end of the 20th century, complex networks have become
a common and irreplaceable language in interdisciplinary studies
and over the last two decades, the field of network science has
experienced an explosive growth (98, 307). The research interests
have evolved in several directions, from social and economic
systems (3, 308, 309), to a wide range of engineered and
technological systems (86, 87, 310), and to the more recently
developing field of multilayered networks (19, 219). Guided by
the advances in high-throughput data-collection and imaging
techniques, network analyses are also becoming an indispensable
tool in biomedical sciences across multiple disciplines and levels
of organization (15, 36, 82, 85), including in studies of
intercellular interactions in tissues (18, 59). Understanding
how heterogeneous populations of interconnected cells in a
dynamic and noisy environment operate to ensure proper
function is very appealing and challenging to investigate. In
the present contribution, we focused on how the network
approaches have been and can be used to study the pancreatic
islets of Langerhans. Work in this field has stimulated research
collaborations across different disciplines, from experimental to
advanced modelling and computational approaches (58–60, 124,
141, 242, 263). For such collaborations to be even more fruitful in
the future, experimentalists need to have a good basic
understanding of network science and network scientists need
to have a detailed understanding of islet biology. In our view, this
is today even more important than it was at the birth of islet
networks a decade ago, since the number of experimental and
analytical options is increasing at an unprecedented pace. Our
wish for the present review is to serve as an information hub for
islet biologists and network scientists, helping them navigate
through the complex network of existing knowledge and future
options and finding the way to each other. Network-based analyses of islets of Langerhans are typically
studied in islets isolated from the pancreas and therefore lacking
in the extracellular matrix, vascularization, and innervation that
play important roles in signal transduction (300). However,
other models may allow the observation and construction of
islet cell networks during development, after transplantation into
a live animal, and in the context of disease. The tissue slice
approach can be regarded as a first in the series of possible
upgrades to conditions that are closer to the in vivo situation
(301–303). Islets as Multilayer Networks The direction and weights of connections within each layer denote the course and the temporal lag between subsequent oscillation onsets, respectively. (D)
Heterologous and homologous interactions within the islets visualized as a multilayer network. (E) Hypothetical simultaneously measured dynamics of [Ca2+]IC, intracellular
ATP, and insulin release along with the corresponding functional network layers. Intralayer connections represent functional connections between time series of the same
variables, whereas the interlayer connections stand for associations between different measured variables. and improved genetically-encoded probes for key signaling
molecules, for example recent new probes for citrate (287) and
lactate (288), may also provide for improved imaging to allow
collection of additional layers of data relating metabolic and
[Ca2+]IC networks in islets. relevant metabolic signals and mitochondrial function
(including lactate, glutamate, and mitochondrial pH) have
recently provided important insight into the metabolic control
of insulin secretion and prompted a reconsideration of the
consensus model for stimulus-secretion coupling (286). New June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 19 Multicellular Networks Within Pancreatic Islets Stozˇer et al. readily visualized (304). By introducing stable fluorescent
probes, zebrafish can therefore be a model for studying
glucose-stimulated [Ca2+]IC dynamics in islet cells within the
local microenvironment. A similarly transparent site is the
anterior chamber of the eye of rodents, where islets can be
transplanted, become highly vascularized, and [Ca2+]IC
dynamics can be visualized (249). This site can be used to
study not only human or mouse islet networks in an
environment closer to the native pancreas, but also the
characteristics of networks and cell-cell signaling in developing
stem cell-derived islet-like clusters (305). Moreover, this
approach can be employed in the context of a model for type 1
diabetes, wherein beta cells are attacked by the immune system
(306), and in the context of type 2 diabetes using high fat diet or
other rodent models (271), or donor islets from people who lived
with the disease (249). Combining and comparing network
properties from isolated islets and islets analyzed in situ will
continue to offer insights into islet communication, both in non-
diabetic and diabetic states. Although the abovementioned approaches can all be
combined with Ca2+ signaling networks, it is worth noting
that other relevant signals can be assessed. Islets as Multilayer Networks Imaging of islet cell
membrane potential has been accomplished using small
molecule voltage-sensitive probes (289), and may perhaps be
more robustly measured using newer genetically encoded
voltage indicators (290). Moreover, optogenetic control of
islet function is also feasible in transgenic models (291). Further, as already mentioned, signaling by G-protein
coupled receptors via second messengers, such as cAMP, is
important in both physiology and diabetes treatment (292),
and such second messengers are even important for the
maintenance of beta-cell activity at a baseline level (293). Genetically encoded probes for cAMP demonstrate glucose-
dependent cAMP responses (182) and intra-islet signaling
(294). Finally, approaches to monitor the downstream process
of insulin secretion from islet cells of intact islets typically
involve the visualization of extracellular probes at a cellular
resolution. This can include the visualization of zinc ions (Zn2
+) released into the extracellular space concomitantly with
insulin (295). Indeed, many Zn2+-binding dyes suitable for
this purpose are available (296). Markers of the extracellular
volume, such as sulphorhodamine B, have also been used to
monitor insulin secretion from individual cells within islets
(297), including evaluation of the spatiotemporal control of
individual insulin exocytosis event (298). Thus, in the context
of intact islet cellular network activity as measured by [Ca2+]IC
responses, abundant opportunity exists to add additional layers
assessing upstream (metabolism, cAMP), coincident (voltage
responses), and downstream (exocytosis) physiological
processes. Figure 10E shows an example of an MLN that
comprises oscillations in [Ca2+]IC (upper panel), out-of-phase
oscillations in [ATP]IC (middle panel), and in-phase
oscillations in secreted insulin (lower panel). Along the same
line, the MLN approach has already been used to elucidate the
relationship between functional connectivity patterns based on
membrane potential and [Ca2+]IC signals (299). In perspective,
such approach may be for instance instrumental in dissecting
the properties of first responders, wave initiators, hubs, and
other cells in terms of their biochemical properties, their
sensitivity to glucose, and their secretory potential. In other
words, MLNs may help address the question whether a cell that
seems to be important in one layer also has any special roles in
other layers. Network-based analyses of islets of Langerhans are typically Frontiers in Endocrinology | www.frontiersin.org REFERENCES Approaches. Biochim Biophys Acta - Gene Regul Mech (2020) 1863:194416. doi: 10.1016/j.bbagrm.2019.194416 Approaches. Biochim Biophys Acta - Gene Regul Mech (2020) 1863:194416. doi: 10.1016/j.bbagrm.2019.194416 1. Euler L. The Seven Bridges of Königsberg. World Math (1956) 1:573–80. 1. Euler L. The Seven Bridges of Königsberg. World Math (1956) 1:573–80. 22. Bashan A, Bartsch RP, Kantelhardt JW, Havlin S, Ivanov PC. Network
Physiology Reveals Relations Between Network Topology and Physiological
Function. Nat Commun (2012) 3:1–9. doi: 10.1038/ncomms1705 1. Euler L. The Seven Bridges of Königsberg. World Math (1956) 1:573–80. 2. Milgram S. The Small World Problem. Psychol Today (1967) 2:60–7. g
g
g
(
)
2. Milgram S. The Small World Problem. Psychol Today (1967) 2:60–7. 2. Milgram S. The Small World Problem. Psychol Today (1967) 2:60–7. 3. Jusup M, Holme P, Kanazawa K, Takayasu M, Romić I, Wang Z, et al. Social
Physics. Phys Rep (2022) 948:1–148. doi: 10.1016/J.PHYSREP.2021.10.005 3. Jusup M, Holme P, Kanazawa K, Takayasu M, Romić I, Wang Z, et al. Social
Physics. Phys Rep (2022) 948:1–148. doi: 10.1016/J.PHYSREP.2021.10.005 23. Fu F, Christakis NA, Fowler JH. Dueling Biological and Social Contagions. Sci Rep (2017) 7:43634. doi: 10.1038/srep43634 4. Newman MEJ. Networks: An Introduction. New York: Oxford University
Press (2010). 24. Maniatis T, Reed R. An Extensive Network of Coupling Among Gene
Expression Machines. Nature (2002) 416:499–506. doi: 10.1038/416499a 5. Barabási A-L, Pósfai M. Network Science. Cambridge: Cambridge University
Press (2016). Available at: http://barabasi.com/networksciencebook/. 25. Uetz P, Giot L, Cagney G, Mansfield TA, Judson RS, Knight JR, et al. A
Comprehensive Analysis of Protein–Protein Interactions in Saccharomyces
Cerevisiae. Nature (2000) 403:623–7. doi: 10.1038/35001009 6. Watts DJ, Strogatz SH. Collective Dynamics of ‘Small-World’ Networks. Nature (1998) 393:440–2. doi: 10.1038/30918 Nature (1998) 393:440–2. doi: 10.1038/30918 26. Maslov S, Sneppen K. Specificity and Stability in Topology of Protein
Networks. Science (2002) 296:910–3. doi: 10.1126/science.1065103 7. Newman MEJ. The Structure and Function of Complex Networks. SIAM
Rev (2003) 45:167–256. doi: 10.1137/S003614450342480 27. Csermely P, Korcsmáros T, Kiss HJM, London G, Nussinov R. Structure and 8. Amaral LAN, Scala A, Barthélémy M, Stanley HE. Classes of Small-World
Networks. Proc Natl Acad Sci (2000) 97:11149–52. doi: 10.1073/
PNAS.200327197 27. Csermely P, Korcsmáros T, Kiss HJM, London G, Nussinov R. Structure and
Dynamics of Molecular Networks: A Novel Paradigm of Drug Discovery:
A Comprehensive Review. Pharmacol Ther (2013) 138:333–408. doi: 10.1016/
J.PHARMTHERA.2013.01.016 9. REFERENCES Havlin S, Kenett DY, Ben-Jacob E, Bunde A, Cohen R, Hermann H, et al. Challenges in Network Science: Applications to Infrastructures, Climate,
Social Systems and Economics. Eur Phys J Spec Top (2012) 214:273–93. doi: 10.1140/epjst/e2012-01695-x 28. Van Diessen E, Diederen SJH, Braun KPJ, Jansen FE, Stam CJ. Functional
and Structural Brain Networks in Epilepsy: What Have We Learned? Epilepsia (2013) 54:1855–65. doi: 10.1111/epi.12350 29. Menche J, Sharma A, Kitsak M, Ghiassian SD, Vidal M, Loscalzo J, et al. Uncovering Disease-Disease Relationships Through the Incomplete
Interactome. Science (2015) 347:1257601. doi: 10.1126/science.1257601 10. Costa LDF, Oliveira ON, Travieso G, Rodrigues FA, Villas Boas PR,
Antiqueira L, et al. Analyzing and Modeling Real-World Phenomena
With Complex Networks: A Survey of Applications. Adv Phys (2011)
60:329–412. doi: 10.1080/00018732.2011.572452 30. Pawson T, Linding R. Network Medicine. FEBS Lett (2008) 582:1266–70. doi: 10.1016/J.FEBSLET.2008.02.011 11. Barabási AL, Albert R. Emergence of Scaling in Random Networks. Science
(1999) 286:509–12. doi: 10.1126/science.286.5439.509 31. Araujo RP, Liotta LA, Petricoin EF. Proteins, Drug Targets and the
Mechanisms They Control: The Simple Truth About Complex Networks. Nat Rev Drug Discov (2007) 6:871–80. doi: 10.1038/nrd2381 12. Goh K, Oh E, Jeong H, Kahng B, Kim D. Classification of Scale-Free
Networks. Proc Natl Acad Sci U S A (2002) 99:12583–8. doi: 10.1073/
PNAS.202301299 32. Ebrahimi A, Nowzari-Dalini A, Jalili M, Masoudi-Nejad A. Target
Controllability With Minimal Mediators in Complex Biological Networks. Genomics (2020) 112:4938–44. doi: 10.1016/j.ygeno.2020.09.003 13. Barabási AL. Scale-Free Networks: A Decade and Beyond. Science (2009)
325:412–3. doi: 10.1126/science.1173299 14. Broido AD, Clauset A. Scale-Free Networks are Rare. Nat Commun (2019)
10:1017. doi: 10.1038/s41467-019-08746-5 33. Lehnertz K, Bröhl T, Rings T. The Human Organism as an Integrated
Interaction Network: Recent Conceptual and Methodological Challenges. Front Physiol (2020) 11:598694. doi: 10.3389/fphys.2020.598694 15. Barabási AL, Gulbahce N, Loscalzo J. Network Medicine: A Network-Based
Approach to Human Disease. Nat Rev Genet (2011) 12:56–68. doi: 10.1038/
nrg2918 34. Ivanov PCH, Liu KKL, Bartsch RP. Focus on the Emerging New Fields of
Network Physiology and Network Medicine. New J Phys (2016) 18:100201. doi: 10.1088/1367-2630/18/10/100201 16. Mason O, Verwoerd M. Graph Theory and Networks in Biology. IET Syst
Biol (2007) 1:89–119. doi: 10.1049/iet-syb:20060038 35. Ivanov PC. The New Field of Network Physiology: Building the Human
Physiolome. Front Netw Physiol (2021) 1:711778. doi: 10.3389/
fnetp.2021.711778 17. Bullmore E, Sporns O. Complex Brain Networks: Graph Theoretical
Analysis of Structural and Functional Systems. Nat Rev Neurosci (2009)
10:186–98. doi: 10.1038/nrn2575 36. CONCLUSION Further, the zebrafish Danio rerio is transparent
during development and thus has islet tissue that can be June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 20 Multicellular Networks Within Pancreatic Islets Stozˇer et al. FUNDING We thank Maruša Rošer, Rudi Mlakar, and Maša Čater for
excellent technical assistance. The work presented in this study was financially supported by
the Slovenian Research Agency (research core funding Nos. AUTHOR CONTRIBUTIONS P3-0396, P1-0055 and I0-0029, as well as research projects
Nos. J3-3077, J1-2457, J3-9289, N3-0048, N3-0170, and N3-
0133). PM holds the Canada Research Chair in Islet Biology. All authors listed have made a substantial, direct, and intellectual
contribution to the work, and approved it for publication. REFERENCES Bassett DS, Sporns O. Network Neuroscience. Nat Neurosci (2017) 20:353–
64. doi: 10.1038/nn.4502 18. Gosak M, Markovič R, Dolenšek J, Slak Rupnik M, Marhl M, Stožer A, et al. Network Science of Biological Systems at Different Scales: A Review. Phys
Life Rev (2018) 24:118–35. doi: 10.1016/j.plrev.2017.11.003 37. Douw L, van Dellen E, Gouw AA, Griffa A, de Haan W, van den Heuvel M,
et al. The Road Ahead in Clinical Network Neuroscience. Netw Neurosci
(2019) 3:969–93. doi: 10.1162/NETN_A_00103 19. Kivelä M, Arenas A, Barthelemy M, Gleeson JP, Moreno Y, Porter MA, et al. Multilayer Networks. J Complex Networks (2014) 2:203–71. doi: 10.1093/
comnet/cnu016 38. Lin A, Liu KKL, Bartsch RP, Ivanov PC. Dynamic Network
Interactions Among Distinct Brain Rhythms as a Hallmark of
Physiologic State and Function. Commun Biol (2020) 3:197. doi: 10.1038/s42003-020-0878-4 20. Korcsmaros T, Schneider MV, Superti-Furga G. Next Generation of
Network Medicine: Interdisciplinary Signaling Approaches. Integr Biol
(2017) 9:97–108. doi: 10.1039/C6IB00215C 39. Radmanesh M, Jalili M, Kozlowska K. Activation of Functional Brain
Networks in Children With Psychogenic Non-Epileptic Seizures. Front
Hum Neurosci (2020) 14:339. doi: 10.3389/fnhum.2020.00339 21. Conte F, Fiscon G, Licursi V, Bizzarri D, D’Antò T, Farina L, et al. A
Paradigm Shift in Medicine: A Comprehensive Review of Network-Based June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 21 Multicellular Networks Within Pancreatic Islets Stozˇer et al. Type 2 Diabetes. bioRxiv (2021), 471749. doi: 10.1101/2021. 12.08.471749 Type 2 Diabetes. bioRxiv (2021), 471749. doi: 10.1101/2021. 12.08.471749 40. Perin R, Berger TK, Markram H. A Synaptic Organizing Principle for
Cortical Neuronal Groups. Proc Natl Acad Sci (2011) 108:5419–24. doi: 10.1073/pnas.1016051108 59. Benninger RKP, Kravets V. The Physiological Role of b-Cell Heterogeneity
in Pancreatic Islet Function. Nat Rev Endocrinl (2022) 18:9–22. doi: 10.1038/
s41574-021-00568-0 41. Feldt Muldoon S, Soltesz I, Cossart R. Spatially Clustered Neuronal
Assemblies Comprise the Microstructure of Synchrony in Chronically
Epileptic Networks. Proc Natl Acad Sci (2013) 110:3567–72. doi: 10.1073/
pnas.1216958110 60. Peercy BE, Sherman AS. Do Oscillations in Pancreatic Islets Require
Pacemaker Cells? J Biosci (2022) 47:14. doi: 10.1007/s12038-021-00251-6 42. Malmersjö S, Rebellato P, Smedler E, Planert H, Kanatani S, Liste I, et al. Neural Progenitors Organize in Small-World Networks to Promote Cell
Proliferation. Proc Natl Acad Sci (2013) 110:E1524–32. doi: 10.1073/
pnas.1220179110 61. Briggs JK, Kravets V, Dwulet JM, Benninger RKP. What do Functional
Synchronization Networks Indicate About Underlying Structure and System
Dynamics? REFERENCES A Network Theory Study in the Islet. bioRxiv (2022) 479331. doi: 10.1101/2022.02.06.479331 43. Abel JH, Meeker K, Granados-Fuentes D, St. John PC, Wang TJ, Bales BB,
et al. Functional Network Inference of the Suprachiasmatic Nucleus. Proc
Natl Acad Sci (2016) 113:4512–7. doi: 10.1073/pnas.1521178113 62. Stožer A, Gosak M, Dolenšek J, Perc M, Marhl M, Rupnik MS, et al. Functional Connectivity in Islets of Langerhans From Mouse Pancreas
Tissue Slices. PLoS Comput Biol (2013) 9:e1002923. doi: 10.1371/
journal.pcbi.1002923 44. Spencer C, Tripp E, Fu F, Pauls S. Evolutionary Constraints on Connectivity
Patterns in the Mammalian Suprachiasmatic Nucleus. Front Netw Physiol
(2021) 1:716883. doi: 10.3389/fnetp.2021.716883 63. Markovič R, Stožer A, Gosak M, Dolenšek J, Marhl M, Rupnik MS. Progressive Glucose Stimulation of Islet Beta Cells Reveals a Transition
From Segregated to Integrated Modular Functional Connectivity Patterns. Sci Rep (2015) 5:7845. doi: 10.1038/srep07845 45. Pires M, Raischel F, Vaz SH, Cruz-Silva A, Sebastião AM, Lind PG. Modeling the Functional Network of Primary Intercellular Ca2+ Wave
Propagation in Astrocytes and its Application to Study Drug Effects. J
Theor Biol (2014) 356:201–12. doi: 10.1016/J.JTBI.2014.04.024 64. Johnston NR, Mitchell RK, Haythorne E, Pessoa MP, Semplici F, Ferrer J,
et al. Beta Cell Hubs Dictate Pancreatic Islet Responses to Glucose. Cell
Metab (2016) 24:389–401. doi: 10.1016/j.cmet.2016.06.020 46. Hodson DJ, Molino F, Fontanaud P, Bonnefont X, Mollard P. Investigating
and Modelling Pituitary Endocrine Network Function. J Neuroendocrinol
(2010) 22:1217–25. doi: 10.1111/j.1365-2826.2010.02052.x j
65. Rutter GA, Hodson DJ, Chabosseau P, Haythorne E, Pullen TJ, Leclerc I. Local and Regional Control of Calcium Dynamics in the Pancreatic Islet. Diabetes Obes Metab (2017) 19:30–41. doi: 10.1111/dom.12990 47. Hodson DJ, Romanò N, Schaeffer M, Fontanaud P, Lafont C, Fiordelisio T,
et al. Coordination of Calcium Signals by Pituitary Endocrine Cells in Situ. Cell Calcium (2012) 51:222–30. doi: 10.1016/J.CECA.2011.11.007 66. Daraio T, Bombek LK, Gosak M, Valladolid-Acebes I, Klemen MS, Refai E,
et al. SNAP-25b-Deficiency Increases Insulin Secretion and Changes
Spatiotemporal Profile of Ca2+ Oscillations in b Cell Networks. Sci Rep
(2017) 7:7744. doi: 10.1038/s41598-017-08082-y 48. Gosak M, Markovič R, Fajmut A, Marhl M, Hawlina M, Andjelić S. The
Analysis of Intracellular and Intercellular Calcium Signaling in Human
Anterior Lens Capsule Epithelial Cells With Regard to Different Types and
Stages of the Cataract. PLoS One (2015) 10:e0143781. doi: 10.1371/
journal.pone.0143781 67. Salem V, Silva LD, Suba K, Georgiadou E, Neda Mousavy Gharavy S,
Akhtar N, et al. REFERENCES Leader b-Cells Coordinate Ca2+ Dynamics Across
Pancreatic Islets In Vivo. Nat Metab (2019) 1:615–29. doi: 10.1038/
s42255-019-0075-2 49. Gosak M, Gojić D, Spasovska E, Hawlina M, Andjelic S. Cataract
Progression Associated With Modifications in Calcium Signaling in
Human Lens Epithelia as Studied by Mechanical Stimulation. Life (2021)
11:369. doi: 10.3390/life11050369 68. Kravets V, Dwulet JAM, Schleicher WE, Hodson DJ, Davis AM, Piscopio
RA, et al. Functional Architecture of the Pancreatic Islets: First Responder
Cells Drive the First-Phase [Ca2+] Response. bioRxiv (2020). doi: 10.1101/
2020.12.22.424082 50. Verma A, Antony AN, Ogunnaike BA, Hoek JB, Vadigepalli R. Causality
Analysis and Cell Network Modeling of Spatial Calcium Signaling Patterns
in Liver Lobules. Front Physiol (2018) 9:1377. doi: 10.3389/
FPHYS.2018.01377 69. Šterk M, Bombek LK, Klemen MS, Rupnik MS, Marhl M, Stožer A, et al. NMDA Receptor Inhibition Increases, Synchronizes, and Stabilizes the
Collective Pancreatic Beta Cell Activity: Insights Through Multilayer
Network Analysis. PLoS Comput Biol (2021) 17:e1009002. doi: 10.1371/
JOURNAL.PCBI.1009002 51. Stevenson AJ, Vanwalleghem G, Stewart TA, Condon ND, Lloyd-Lewis B,
Marino N, et al. Multiscale Imaging of Basal Cell Dynamics in the
Functionally Mature Mammary Gland. Proc Natl Acad Sci (2020)
117:26822–32. doi: 10.1073/PNAS.2016905117/ 70. Dolenšek J, Stožer A, Skelin Klemen M, Miller EW, Slak Rupnik M. The
Relationship Between Membrane Potential and Calcium Dynamics in
Glucose-Stimulated Beta Cell Syncytium in Acute Mouse Pancreas Tissue
Slices. PLoS One (2013) 8:e82374. doi: 10.1371/journal.pone.0082374 52. Wilson C, Zhang X, Lee MD, MacDonald M, Heathcote HR, AlorfiNMN,
et al. Disrupted Endothelial Cell Heterogeneity and Network Organization
Impair Vascular Function in Prediabetic Obesity. Metabolism (2020)
111:154340. doi: 10.1016/J.METABOL.2020.154340 lices. PLoS One (2013) 8:e82374. doi: 10.1371/journal.pone.00823 71. Benninger RKP, Hutchens T, Head WS, McCaughey MJ, Zhang M, Le
Marchand SJ, et al. Intrinsic Islet Heterogeneity and Gap Junction Coupling
Determine Spatiotemporal Ca2+ Wave Dynamics. Biophys J (2014)
107:2723–33. doi: 10.1016/j.bpj.2014.10.048 53. Marolt U, Pohorec V, Lipovšek S, Venglovecz V, Gál E, Ébert A, et al. Calcium Imaging in Intact Mouse Acinar Cells in Acute Pancreas Tissue
Slices. PLoS One (2022). doi: 10.1371/journal.pone.0268644 72. Benninger RKP, Hodson DJ. New Understanding of b-Cell Heterogeneity
and in Situ Islet Function. Diabetes (2018) 67:537–47. doi: 10.2337/dbi17-
0040 54. Hodson DJ, Mitchell RK, Bellomo EA, Sun G, Vinet L, Meda P, et al. Lipotoxicity Disrupts Incretin-Regulated Human b Cell Connectivity. J Clin
Invest (2013) 123:4182–94. doi: 10.1172/JCI68459 73. Weitz J, Menegaz D, Caicedo A. REFERENCES Deciphering the Complex Communication
Networks That Orchestrate Pancreatic Islet Function. Diabetes (2021)
70:17–26. doi: 10.2337/DBI19-0033 55. Stožer A, Klemen MS, Gosak M, Bombek LK, Pohorec V, Rupnik MS, et al. Glucose-Dependent Activation, Activity, and Deactivation of Beta Cell
Networks in Acute Mouse Pancreas Tissue Slices. Am J Physiol -
Endocrinol Metab (2021) 321:E305–23. doi: 10.1152/AJPENDO.00043.2021 74. Benninger RKP, Zhang M, Steven Head W, Satin LS, Piston DW. Gap
Junction Coupling and Calcium Waves in the Pancreatic Islet. Biophys J
(2008) 95:5048–61. doi: 10.1529/biophysj.108.140863 56. Zmazek J, Klemen MS, Markovič R, Dolenšek J, Marhl M, Stožer A, et al. Assessing Different Temporal Scales of Calcium Dynamics in Networks of
Beta Cell Populations. Front Physiol (2021) 12:612233. doi: 10.3389/
FPHYS.2021.612233 75. Bosco D, Haefliger JA, Meda P. Connexins: Key Mediators of Endocrine
Function. Physiol Rev (2011) 91:1393–445. doi: 10.1152/physrev.00027.2010 76. Benninger RKP, Piston DW. Cellular Communication and Heterogeneity in
Pancreatic Islet Insulin Secretion Dynamics. Trends Endocrinol Metab
(2014) 25:399–406. doi: 10.1016/j.tem.2014.02.005 57. Akalestou E, Suba K, Lopez-Noriega L, Georgiadou E, Chabosseau P, Gallie
A, et al. Intravital Imaging of Islet Ca2+ Dynamics Reveals Enhanced b Cell
Connectivity After Bariatric Surgery in Mice. Nat Commun (2021) 12:5165. doi: 10.1038/s41467-021-25423-8 77. Ravier MA, Güldenagel M, Charollais A, Gjinovci A, Caille D, Söhl G, et al. Loss of Connexin36 Channels Alters b-Cell Coupling, Islet Synchronization
of Glucose-Induced Ca2+ and Insulin Oscillations, and Basal Insulin Release. Diabetes (2005) 54:1798–807. doi: 10.2337/DIABETES.54.6.1798 58. Gosak M, Yan-Do R, Lin H, MacDonald PE, Stožer A. Ca2+ Oscillations,
Waves, and Networks in Islets From Human Donors With and Without June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 22 Multicellular Networks Within Pancreatic Islets Stozˇer et al. 78. Head WS, Orseth ML, Nunemaker CS, Satin LS, Piston DW, Benninger
RKP. Connexin-36 Gap Junctions Regulate In Vivo First- and Second-Phase
Insulin Secretion Dynamics and Glucose Tolerance in the Conscious Mouse. Diabetes (2012) 61:1700–7. doi: 10.2337/db11-1312 103. Félix-Martı́nez GJ N, Mata A, Godı́nez-Fernández JR. Reconstructing
Human Pancreatic Islet Architectures Using Computational Optimization. Islets (2020) 12:121–33. doi: 10.1080/19382014.2020.1823178 104. Félix-Martı́nez GJ, Nicolás-Mata A, Godı́nez-Fernández JR. Computational
Reconstruction of Pancreatic Islets as a Tool for Structural and Functional
Analysis. J Vis Exp (2022) 181:e63351. doi: 10.3791/63351 79. Farnsworth NL, Hemmati A, Pozzoli M, Benninger RKP. Fluorescence
Recovery After Photobleaching Reveals Regulation and Distribution of
Connexin36 Gap Junction Coupling Within Mouse Islets of Langerhans. J
Physiol (2014) 592:4431–46. doi: 10.1113/jphysiol.2014.276733 105. REFERENCES The Statistical Physics of Real-World Networks. Nat Rev Phys (2019) 1:58–
71. doi: 10.1038/s42254-018-0002-6 113. Stam CJ, Tewarie P, Van Dellen E, van Straaten ECW, Hillebrand A, Van
Mieghem P. The Trees and the Forest: Characterization of Complex Brain
Networks With Minimum Spanning Trees. Int J Psychophysiol (2014)
92:129–38. doi: 10.1016/j.ijpsycho.2014.04.001 88. Yazdani A, Jeffrey P. Complex Network Analysis of Water Distribution
Systems. Chaos Interdiscip J Nonlinear Sci (2011) 21:016111. doi: 10.1063/
1.3540339 89. Girvan M, Newman MEJ. Community Structure in Social and Biological
Networks. Proc Natl Acad Sci (2002) 99:7821–6. doi: 10.1073/pnas.122653799 114. Stosic D, Stosic D, Ludermir TB, Stosic T. Collective Behavior of
Cryptocurrency Price Changes. Phys A Stat Mech
Appl (2018) 507:499–
509. doi: 10.1016/j.physa.2018.05.050 90. Estrada E. The Structure of Complex Networks. Oxford: Oxford University
Press (2012). doi: 10.1093/acprof:oso/9780199591756.001.0001 115. Markovič R, Gosak M, Grubelnik V, Marhl M, Virtič P. Data-Driven
Classification of Residential Energy Consumption Patterns by Means of
Functional Connectivity Networks. Appl Energy (2019) 242:506–15. doi: 10.1016/J.APENERGY.2019.03.134 91. Barabási A-L. Network Science. Cambridge: Cambridge University Press
(2015). 92. Amaral LAN, Ottino JM. Complex Networks. Eur Phys J B - Condens Matter
(2004) 38:147–62. doi: 10.1140/epjb/e2004-00110-5 116. Hodson DJ, Schaeffer M, Romanò N, Fontanaud P, Lafont C, Birkenstock J,
et al. Existence of Long-Lasting Experience-Dependent Plasticity in
Endocrine Cell Networks. Nat Commun (2012) 3:605. doi: 10.1038/
ncomms1612 93. Leskovec J, Krevl A. SNAP Datasets: Stanford Large Network Dataset
Collection (2014). Available at: https://snap.stanford.edu/data/. 94. Stumpf MPH, Porter MA. Critical Truths About Power Laws. Science (2012)
335:665–6. doi: 10.1126/SCIENCE.1216142 117. Chen C, Maybhate A, Israel D, Thakor NV, Jia X. Assessing Thalamocortical
Functional Connectivity With Granger Causality. IEEE Trans Neural Syst
Rehabil Eng (2013) 21:725–33. doi: 10.1109/TNSRE.2013.2271246 95. Holme P. Rare and Everywhere: Perspectives on Scale-Free Networks. Nat
Commun (2019) 10:1016. doi: 10.1038/s41467-019-09038-8 118. Jalili M, Knyazeva MG. Constructing Brain Functional Networks From
EEG:: Partial and Unpartial Correlations. J Integr Neurosci (2011) 10:213–
32. doi: 10.1142/S0219635211002725 96. Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang D. Complex Networks:
Structure and Dynamics. Phys Rep (2006) 424:175–308. doi: 10.1016/
j.physrep.2005.10.009 j
y
97. Humphries MD, Gurney K. Network ‘Small-World-Ness’: A Quantitative
Method for Determining Canonical Network Equivalence. PLoS One (2008)
3:e0002051. doi: 10.1371/JOURNAL.PONE.0002051 119. Poli D, Pastore VP, Martinoia S, Massobrio P. From Functional to Structural
Connectivity Using Partial Correlation in Neuronal Assemblies. J Neural Eng
(2016) 13:26023. doi: 10.1088/1741-2560/13/2/026023 98. REFERENCES Striegel DA, Hara M, Periwal V. The Beta Cell in Its Cluster: Stochastic
Graphs of Beta Cell Connectivity in the Islets of Langerhans. PloS Comput
Biol (2015) 11:e1004423. doi: 10.1371/journal.pcbi.1004423 80. Rutter GA, Hodson DJ. Beta Cell Connectivity in Pancreatic Islets: A Type 2
Diabetes Target? Cell Mol Life Sci (2015) 72:453–67. doi: 10.1007/s00018-
014-1755-4 106. Arrojo e Drigo R, Jacob S, Garcı́a-Prieto CF, Zheng X, Fukuda M, Nhu HTT,
et al. Structural Basis for Delta Cell Paracrine Regulation in Pancreatic Islets. Nat Commun (2019) 10:3700. doi: 10.1038/s41467-019-11517-x 81. Otte E, Rousseau R. Social Network Analysis: A Powerful Strategy, Also for
the Information Sciences. J Inf Sci (2002) 28:441–53. doi: 10.1177/
016555150202800601 107. Cohrs CM, Chen C, Jahn SR, Stertmann J, Chmelova H, Weitz J, et al. Vessel
Network Architecture of Adult Human Islets Promotes Distinct Cell-Cell
Interactions In Situ and Is Altered After Transplantation. Endocrinology
(2017) 158:1373–85. doi: 10.1210/EN.2016-1184 82. Barabási A-L, Oltvai ZN. Network Biology: Understanding the Cell’s
Functional Organization. Nat Rev Genet (2004) 5:101–13. doi: 10.1038/
nrg1272 108. van den Heuvel MP, Hulshoff Pol HE. Exploring the Brain Network: A
Review on Resting-State fMRI Functional Connectivity. Eur
Neuropsychopharmacol (2010) 20:519–34. doi: 10.1016/j.euroneuro. 2010.03.008 83. Huttlin EL, Bruckner RJ, Paulo JA, Cannon JR, Ting L, Baltier K, et al. Architecture of the Human Interactome Defines Protein Communities and
Disease Networks. Nature (2017) 545:505–9. doi: 10.1038/nature22366 109. Garrison KA, Scheinost D, Finn ES, Shen X, Constable RT. The (in)Stability
of Functional Brain Network Measures Across Thresholds. Neuroimage
(2015) 118:651–61. doi: 10.1016/J.NEUROIMAGE.2015.05.046 84. Pilosof S, Porter MA, Pascual M, KéfiS. The Multilayer Nature of Ecological
Networks. Nat Ecol Evol (2017) 1:101. doi: 10.1038/s41559-017-0101 85. Gosak M, Milojević M, Duh M, Skok K, Perc M. Networks Behind the
Morphology and Structural Design of Living Systems. Phys Life Rev (2022)
41:1–21. doi: 10.1016/j.plrev.2022.03.001 110. De Domenico M. Multilayer Network Modeling of Integrated Biological
Systems. Phys Life Rev (2018) 24:149–52. doi: 10.1016/j.plrev.2017.12.006 86. Barbosa H, Barthelemy M, Ghoshal G, James CR, Lenormand M, Louail T,
et al. Human Mobility: Models and Applications. Phys Rep (2018) 734:1–74. doi: 10.1016/J.PHYSREP.2018.01.001 111. Jalili M. Network Biology: Describing Biological Systems by Complex
Networks. Phys Life Rev (2018) 24:159–61. doi: 10.1016/j.plrev.2017.12.003 112. Pedersen MG. Biological Mechanisms Beyond Network Analysis via
Mathematical Modeling. Phys Life Rev (2018) 24:156–8. doi: 10.1016/
j.plrev.2017.12.001 87. Cimini G, Squartini T, Saracco F, Garlaschelli D, Gabrielli A, Caldarelli G. REFERENCES Cx36-Mediated
Coupling Reduces b-Cell Heterogeneity, Confines the Stimulating Glucose
Concentration Range, and Affects Insulin Release Kinetics. Diabetes (2007)
56:1078–86. doi: 10.2337/db06-0232 131. Nunemaker CS, Bertram R, Sherman A, Tsaneva-Atanasova K, Daniel CR,
Satin LS. Glucose Modulates [Ca2+]i Oscillations in Pancreatic Islets via Ionic
and Glycolytic Mechanisms. Biophys J (2006) 91:2082–96. doi: 10.1529/
biophysj.106.087296 153. Stožer A, Dolenšek J, Križančić Bombek L, Gosak M, Skelin Klemen M. Calcium Imaging. In: Imaging Modalities for Biological and Preclinical
Research: A Compendium, vol. Volume 1. Bristol, UK: IOP Publishing
(2021). p. 2053–563. doi: 10.1088/978-0-7503-3059-6ch5 132. Idevall-Hagren O, Tengholm A. Metabolic Regulation of Calcium Signaling
in Beta Cells. Semin Cell Dev Biol (2020) 103:20–30. doi: 10.1016/
J.SEMCDB.2020.01.008 154. Arrojo E Drigo R. Probing b-Cell Biology in Space and Time. Diabetes (2021)
70:2163–73. doi: 10.2337/DBI21-0008 133. Skelin Klemen M, Dolenšek J, Slak Rupnik M, Stožer A. The Triggering
Pathway to Insulin Secretion: Functional Similarities and Differences
Between the Human and the Mouse b Cells and Their Translational
Relevance. Islets (2017) 9:109–39. doi: 10.1080/19382014.2017.1342022 155. Lammert E, Thorn P. The Role of the Islet Niche on Beta Cell Structure and
Function. J Mol Biol (2020) 432:1407–18. doi: 10.1016/j.jmb.2019.10.032 156. Stožer A, Dolenšek J, Rupnik MS. Glucose-Stimulated Calcium Dynamics in
Islets of Langerhans in Acute Mouse Pancreas Tissue Slices. PLoS One (2013)
8:e54638. doi: 10.1371/journal.pone.0054638 134. Meda P. Gap Junction Proteins are Key Drivers of Endocrine Function. Biochim Biophys Acta - Biomembr (2018) 1860:124–40. doi: 10.1016/
j.bbamem.2017.03.005 157. Pipeleers D, Kiekens R, Ling Z, Wilikens A, Schuit F. Physiologic Relevance
of Heterogeneity in the Pancreatic Beta-Cell Population. Diabetologia (1994)
37:S57–64. doi: 10.1007/BF00400827 135. Bertram R, Satin L, Zhang M, Smolen P, Sherman A. Calcium and Glycolysis
Mediate Multiple Bursting Modes in Pancreatic Islets. Biophys J (2004)
87:3074–87. doi: 10.1529/BIOPHYSJ.104.049262 158. Jonkers FC, Henquin JC. Measurements of Cytoplasmic Ca2+ in Islet Cell
Clusters Show That Glucose Rapidly Recruits b-Cells and Gradually
Increases the Individual Cell Response. Diabetes (2001) 50:540–50. doi: 10.2337/DIABETES.50.3.540 136. McKenna JP, Bertram R. Fast-Slow Analysis of the Integrated Oscillator
Model for Pancreatic b-Cells. J Theor Biol (2018) 457:152–62. doi: 10.1016/
J.JTBI.2018.08.029 137. Pedersen MG, Bertram R, Sherman A. Intra- and Inter-Islet Synchronization
of Metabolically Driven Insulin Secretion. Biophys J (2005) 89:107–19. doi: 10.1529/biophysj.104.055681 159. Scarl RT, Corbin KL, Vann NW, Smith HM, Satin LS, Sherman A, et al. Intact Pancreatic Islets and Dispersed Beta-Cells Both Generate
Intracellular Calcium Oscillations But Differ in Their Responsiveness to
Glucose. REFERENCES Heterogeneity and Delayed Activation as Hallmarks of Self-Organization
and Criticality in Excitable Tissue. Front Physiol (2019) 10:869. doi: 10.3389/
fphys.2019.00869 126. Beauvois MC, Merezak C, Jonas J-C, Ravier MA, Henquin J-C, Gilon P. Glucose-Induced Mixed [Ca2+] C Oscillations in Mouse b-Cells are
Controlled by the Membrane Potential and the SERCA3 Ca2+ -ATPase of
the Endoplasmic Reticulum. Am J Physiol Physiol (2006) 290:C1503–11. doi: 10.1152/ajpcell.00400.2005 146. Jaffredo M, Bertin E, Pirog A, Puginier E, Gaitan J, Oucherif S, et al. Dynamic
Uni- and Multicellular Patterns Encode Biphasic Activity in Pancreatic Islets. Diabetes (2021) 70:878–88. doi: 10.2337/db20-0214 147. Gosak M, Stožer A, Markovic R, Dolenšek J, Perc M, Rupnik MS, et al. Critical and Supercritical Spatiotemporal Calcium Dynamics in Beta Cells. Front Physiol (2017) 8:1106. doi: 10.3389/FPHYS.2017.01106 127. Gilon P, Henquin JC. Influence of Membrane Potential Changes on
Cytoplasmic Ca2+ Concentration in an Electrically Excitable Cell, the
Insulin-Secreting Pancreatic B-Cell. J Biol Chem (1992) 267:20713–20. doi: 10.1016/S0021-9258(19)36744-4 148. Lei CL, Kellard JA, Hara M, Johnson JD, Rodriguez B, Briant LJB. Beta-Cell
Hubs Maintain Ca2+ Oscillations in Human and Mouse Islet Simulations. Islets (2018) 10:151–67. doi: 10.1080/19382014.2018.1493316 128. Nunemaker CS, Zhang M, Wasserman DH, McGuinness OP, Powers AC,
Bertram R, et al. Individual Mice can be Distinguished by the Period of Their
Islet Calcium Oscillations: Is There an Intrinsic Islet Period That is
Imprinted. Vivo? Diabetes (2005) 54:3517–22. doi: 10.2337/DIABETES. 54.12.3517 149. Satin LS, Zhang Q, Rorsman P. Take Me To Your Leader”: An
Electrophysiological Appraisal of the Role of Hub Cells in Pancreatic
Islets. Diabetes (2020) 69:830–6. doi: 10.2337/dbi19-0012 150. Rutter GA, Ninov N, Salem V, Hodson DJ. Comment on Satin Et al. “Take
Me To Your Leader”: An Electrophysiological Appraisal of the Role of Hub
Cells in Pancreatic Islets. Diabetes (2020) 69:830–6. doi: 10.2337/db20-0501 129. Fridlyand LE, Tamarina N, Philipson LH. Bursting and Calcium Oscillations
in Pancreatic b-Cells: Specific Pacemakers for Specific Mechanisms. Am J
Physiol Metab (2010) 299:E517–32. doi: 10.1152/ajpendo.00177.2010 151. Satin LS, Rorsman P. Response to Comment on Satin Et al. “Take Me To
Your Leader”: An Electrophysiological Appraisal of the Role of Hub Cells in
Pancreatic Islets. Diabetes (2020) 69:830–6. doi: 10.2337/dbi20-0027 130. Santos RM, Rosario LM, Nadal A, Garcia-Sancho J, Soria B, Valdeolmillos
M. Widespread Synchronous [Ca2+]i Oscillations Due to Bursting Electrical
Activity in Single Pancreatic Islets. Pflügers Arch Eur J Physiol (1991)
418:417–22. doi: 10.1007/BF00550880 152. Speier S, Gjinovci A, Charollais A, Meda P, Rupnik M. REFERENCES Turnbull L, Hütt M-T, Ioannides AA, Kininmonth S, Poeppl R, Tockner K, et al. Connectivity and Complex Systems: Learning From a Multi-Disciplinary
Perspective. Appl Netw Sci (2018) 3:11. doi: 10.1007/s41109-018-0067-2 120. Zhao F, Gao Y, Li X, An Z, Ge S, Zhang C. A Similarity Measurement for
Time Series and its Application to the Stock Market. Expert Syst Appl (2021)
182:115217. doi: 10.1016/J.ESWA.2021.115217 121. Jin D, Li R, Xu J. Multiscale Community Detection in Functional Brain
Networks Constructed Using Dynamic Time Warping. IEEE Trans Neural
Syst Rehabil Eng (2020) 28:52–61. doi: 10.1109/TNSRE.2019.2948055 99. Hoang DT, Matsunari H, Nagaya M, Nagashima H, Millis JM, Witkowski P,
et al. A Conserved Rule for Pancreatic Islet Organization. PLoS One (2014) 9:
e110384. doi: 10.1371/JOURNAL.PONE.0110384 100. Kilimnik G, Jo J, Periwal V, Zielinski MC, Hara M. Quantification of Islet
Size and Architecture. Islets (2012) 4:167–72. doi: 10.4161/ISL.19256 122. Serrà J, Arcos JL. A Competitive Measure to Assess the Similarity Between
Two Time Series. In: Lecture Notes in Computer Science (Including Subseries
Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. Berlin, Heidelberg: Springer (2012). p. 414–27. doi: 10.1007/978-3-642-
32986-9_31 101. Tran Thi Nhu H, Arrojo E, Drigo R, Berggren P-O, Boudier T. A Novel
Toolbox to Investigate Tissue Spatial Organization Applied to the Study of
the Islets of Langerhans. Sci Rep (2017) 7:44261. doi: 10.1038/srep44261 102. Félix-Martı́nez GJ, Godı́nez-Fernández JR. Comparative Analysis of
Reconstructed Architectures From Mice and Human Islets. Islets (2022)
14:23–35. doi: 10.1080/19382014.2021.1987827 123. Serrà J, Arcos JL. An Empirical Evaluation of Similarity Measures for Time
Series Classification. Knowledge-Based Syst (2014) 67:305–14. doi: 10.1016/
J.KNOSYS.2014.04.035 June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 23 Multicellular Networks Within Pancreatic Islets Stozˇer et al. 124. Dolenšek J, Špelič D, Klemen M, Žalik B, Gosak M, Rupnik M, et al. Membrane Potential and Calcium Dynamics in Beta Cells From Mouse
Pancreas Tissue Slices: Theory, Experimentation, and Analysis. Sensors
(2015) 15:27393–419. doi: 10.3390/s151127393 144. Bergsten P, Grapengiesser E, Gylfe E, Tengholm A, Hellman B. Synchronous
Oscillations of Cytoplasmic Ca2+ and Insulin Release in Glucose-Stimulated
Pancreatic Islets. J Biol Chem (1994) 269:8749–53. doi: 10.1016/S0021-9258
(17)37032-1 125. Bertram R, Sherman A, Satin LS. Electrical Bursting, Calcium Oscillations,
and Synchronization of Pancreatic Islets. Adv Exp Med Biol (2010) 654:261–
79. doi: 10.1007/978-90-481-3271-3_12 145. Stožer A, Markovič R, Dolenšek J, Perc M, Marhl M, Rupnik MS, et al. REFERENCES Klemen MS, Dolenšek J, Križančić Bombek L, Pohorec V, Gosak M, Rupnik
MS, et al. The Effect of cAMP and the Role of Epac2A During Activation,
Activity, and Deactivation of Beta Cell Networks. Preprints (2021). doi: 10.20944/preprints202105.0064.v1 166. Nasteska D, Hodson DJ. The Role of Beta Cell Heterogeneity in Islet
Function and Insulin Release. J Mol Endocrinol (2018) 61:R43–60. doi: 10.1530/JME-18-0011 184. Postić S, Sarikas S, Pfabe J, Pohorec V, Križančić L, Bombek K, et al. Intracellular Ca2+ Channels Initiate Physiological Glucose Signaling in Beta
Cells Examined in Situ. bioRxiv (2021), 439796. doi: 10.1101/
2021.04.14.439796 167. Gosak M, Stožer A, Markovič R, Dolenšek J, Marhl M, Rupnik MS, et al. The
Relationship Between Node Degree and Dissipation Rate in Networks of
Diffusively Coupled Oscillators and its Significance for Pancreatic Beta Cells. Chaos (2015) 25:073115. doi: 10.1063/1.4926673 185. Liu Y-J, Tengholm A, Grapengiesser E, Hellman B, Gylfe E. Origin of Slow
and Fast Oscillations of Ca 2+ in Mouse Pancreatic Islets. J Physiol (1998)
508:471–81. doi: 10.1111/j.1469-7793.1998.471bq.x 168. Heimberg H, De Vos A, Vandercammen A, Van Schaftingen E, Pipeleers D,
Schuit F. Heterogeneity in Glucose Sensitivity Among Pancreatic Beta-Cells
is Correlated to Differences in Glucose Phosphorylation Rather Than
Glucose Transport. EMBO J (1993) 12:2873–9. doi: 10.1002/J.1460-
2075.1993.TB05949.X 186. Marquard J, Otter S, Welters A, Stirban A, Fischer A, Eglinger J, et al. Characterization of Pancreatic NMDA Receptors as Possible Drug Targets
for Diabetes Treatment. Nat Med (2015) 21:363–76. doi: 10.1038/nm.3822 187. Scholz O, Otter S, Welters A, Wörmeyer L, Dolenšek J, Klemen MS, et al. Peripherally Active Dextromethorphan Derivatives Lower Blood Glucose
Levels by Targeting Pancreatic Islets. Cell Chem Biol (2021) 28:1474–88.e7. doi: 10.1016/J.CHEMBIOL.2021.05.011 169. Dwulet JM, Ludin NWF, Piscopio RA, Schleicher WE, Moua O, Westacott
MJ. How Heterogeneity in Glucokinase and Gap Junction Coupling
Determines the Islet Electrical Response. Biophys J (2019) 117:2188–203. doi: 10.1016/j.bpj.2019.10.037 188. Otter S, Lammert E. Exciting Times for Pancreatic Islets: Glutamate
Signaling in Endocrine Cells. Trends Endocrinol Metab (2016) 27:177–88. doi: 10.1016/J.TEM.2015.12.004 170. Dwulet JM, Briggs JK, Benninger RKP. Small Subpopulations of b-Cells do
Not Drive Islet Oscillatory [Ca2+] Dynamics via Gap Junction
Communication. PloS Comput Biol (2021) 17:e1008948. doi: 10.1371/
journal.pcbi.1008948 189. Cabrera O, Berman DM, Kenyon NS, Ricordi C, Berggren PO, Caicedo A. The Unique Cytoarchitecture of Human Pancreatic Islets has Implications
for Islet Cell Function. Proc Natl Acad Sci (2006) 103:2334–9. doi: 10.1073/
pnas.0510790103 171. REFERENCES Cell Calcium (2019) 83:102081. doi: 10.1016/J.CECA. 2019.102081 138. Tsaneva-Atanasova K, Zimliki CL, Bertram R, Sherman A. Diffusion of
Calcium and Metabolites in Pancreatic Islets: Killing Oscillations With a
Pitchfork. Biophys J (2006) 90:3434–46. doi: 10.1529/BIOPHYSJ.105.078360 160. Pohorec V, Križančić Bombek L, Skelin Klemen M, Dolenšek J, Stožer A. Glucose-Stimulated Calcium Dynamics in Beta Cells From Male C57BL/6J,
C57BL/6N, and NMRI Mice: A Comparison of Activation, Activity, and
Deactivation Properties in Tissue Slices. Front Endocrinol (2022) 13:867663. doi: 10.3389/FENDO.2022.867663 139. Loppini A, Braun M, Filippi S, Pedersen MG. Mathematical Modeling of Gap
Junction Coupling and Electrical Activity in Human b-Cells. Phys Biol
(2015) 12:66002. doi: 10.1088/1478-3975/12/6/066002 140. Satin LS, Butler PC, Ha J, Sherman AS. Pulsatile Insulin Secretion, Impaired
Glucose Tolerance and Type 2 Diabetes. Mol Aspects Med (2015) 42:61–77. doi: 10.1016/j.mam.2015.01.003 161. Meissner HP, Schmelz H. Membrane Potential of Beta-Cells in Pancreatic
Islets. Pflügers Arch Eur J Physiol (1974) 351:195–206. doi: 10.1007/
BF00586918 141. Bertram R, Satin LS, Sherman AS. Closing in on the Mechanisms of Pulsatile
Insulin Secretion. Diabetes (2018) 67:351–9. doi: 10.2337/dbi17-0004 162. Henquin JC. Adenosine Triphosphate-Sensitive K+ Channels may Not be the
Sole Regulators of Glucose-Induced Electrical Activity in Pancreatic B-Cells. Endocrinology (1992) 131:127–31. doi: 10.1210/EN.131.1.127 142. Cappon G, Pedersen MG. Heterogeneity and Nearest-Neighbor Coupling
can Explain Small-Worldness and Wave Properties in Pancreatic Islets. Chaos Interdiscip J Nonlinear Sci (2016) 26:053103. doi: 10.1063/1.4949020 163. Antunes CM, Salgado AP, Rosário LM, Santos RM. Differential Patterns of
Glucose-Induced Electrical Activity and Intracellular Calcium Responses in
Single Mouse and Rat Pancreatic Islets. Diabetes (2000) 49:2028–38. doi: 10.2337/DIABETES.49.12.2028 143. Hogan JP, Peercy BE. Flipping the Switch on the Hub Cell: Islet
Desynchronization Through Cell Silencing. PLoS One (2021) 16:e0248974. doi: 10.1371/JOURNAL.PONE.0248974 June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 24 Multicellular Networks Within Pancreatic Islets Stozˇer et al. 164. Lebreton F, Pirog A, Belouah I, Bosco D, Berney T, Meda P, et al. Slow
Potentials Encode Intercellular Coupling and Insulin Demand in Pancreatic
Beta Cells. Diabetologia (2015) 58:1291–9. doi: 10.1007/S00125-015-3558-Z 182. Kim JW, Roberts CD, Berg SA, Caicedo A, Roper SD, Chaudhari N. Imaging
Cyclic AMP Changes in Pancreatic Islets of Transgenic Reporter Mice. PLoS
One (2008) 3:e2127. doi: 10.1371/journal.pone.0002127 165. Westacott MJ, Ludin NWF, Benninger RKP. Spatially Organized b-Cell
Subpopulations Control Electrical Dynamics Across Islets of Langerhans. Biophys J (2017) 113:1093–108. doi: 10.1016/J.BPJ.2017.07.021 183. REFERENCES Benninger RKP, Head WS, Zhang M, Satin LS, Piston DW. Gap Junctions
and Other Mechanisms of Cell-Cell Communication Regulate Basal Insulin
Secretion in the Pancreatic Islet. J Physiol (2011) 589:5453–66. doi: 10.1113/
jphysiol.2011.218909 190. Westacott MJ, Farnsworth NL, St Clair JR, Poffenberger G, Heintz A, Ludin
NW, et al. Age-Dependent Decline in the Coordinated [Ca2+] and Insulin
Secretory Dynamics in Human Pancreatic Islets. Diabetes (2017) 66:2436–
45. doi: 10.2337/db17-0137 172. Irles E, Ñeco P, Lluesma M, Villar-Pazos S, Santos-Silva JC, Vettorazzi JF,
et al. Enhanced Glucose-Induced Intracellular Signaling Promotes Insulin
Hypersecretion: Pancreatic Beta-Cell Functional Adaptations in a Model of
Genetic Obesity and Prediabetes. Mol Cell Endocrinol (2015) 404:46–55. doi: 10.1016/j.mce.2015.01.033 191. Steiner DJ, Kim A, Miller K, Hara M. Pancreatic Islet Plasticity: Interspecies
Comparison of Islet Architecture and Composition. Islets (2010) 2:135–45. doi: 10.4161/isl.2.3.11815 192. Bosco D, Armanet M, Morel P, Niclauss N, Sgroi A, Muller YD, et al. Unique
Arrangement of a- and b-Cells in Human Islets of Langerhans. Diabetes
(2010) 59:1202–10. doi: 10.2337/DB09-1177 173. Allagnat F, Martin D, Condorelli DF, Waeber G, Haefliger JA. Glucose
Represses Connexin36 in Insulin-Secreting Cells. J Cell Sci (2005) 118:5335–
44. doi: 10.1242/jcs.02600 174. Stožer A, Hojs R, Dolenšek J. Beta Cell Functional Adaptation and
Dysfunction in Insulin Resistance and the Role of Chronic Kidney
Disease. Nephron (2019) 143:33–7. doi: 10.1159/000495665 193. Dolenšek J, Rupnik MS, Stožer A. Structural Similarities and Differences
Between the Human and the Mouse Pancreas. Islets (2015) 7:e1024405. doi: 10.1080/19382014.2015.1024405 194. Bonner-Weir S, Sullivan BA, Weir GC. Human Islet Morphology Revisited. J
Histochem Cytochem (2015) 63:604–12. doi: 10.1369/0022155415570969 175. Cigliola V, Chellakudam V, Arabieter W, Meda P. Connexins and b-Cell
Functions. Diabetes Res Clin Pract (2013) 99:250–9. doi: 10.1016/
J.DIABRES.2012.10.016 195. Kharouta M, Miller K, Kim A, Wojcik P, Kilimnik G, Dey A, et al. No Mantle
Formation in Rodent Islets-The Prototype of Islet Revisited. Diabetes Res
Clin Pract (2009) 85:252–7. doi: 10.1016/j.diabres.2009.06.021 176. Carvalho CPF, Oliveira RB, Britan A, Santos-Silva JC, Boschero AC, Meda P,
et al. Impaired b-Cell-b-Cell Coupling Mediated by Cx36 Gap Junctions in
Prediabetic Mice. Am J Physiol - Endocrinol Metab (2012) 303:144–51. doi: 10.1152/AJPENDO.00489.2011 196. Gilon P, Jonas JC, Henquin JC. Culture Duration and Conditions Affect the
Oscillations of Cytoplasmic Calcium Concentration Induced by Glucose in
Mouse Pancreatic Islets. Diabetologia (1994) 37:1007–14. doi: 10.1007/
BF00400464 177. Ravier MA, Sehlin J, Henquin JC. REFERENCES The Chronnectome: Time-
Varying Connectivity Networks as the Next Frontier in fMRI Data
Discovery. Neuron (2014) 84:262–74. doi: 10.1016/J.NEURON.2014.10.015 232. Preti MG, Bolton TA, Van De Ville D. The Dynamic Functional
Connectome: State-Of-the-Art and Perspectives. Neuroimage (2017)
160:41–54. doi: 10.1016/J.NEUROIMAGE.2016.12.061 210. Cherubini C, Filippi S, Gizzi A, Loppini A. Role of Topology in Complex
Functional Networks of Beta Cells. Phys Rev E - Stat Nonlinear Soft Matter
Phys (2015) 92:42702. doi: 10.1103/PHYSREVE.92.042702 233. Paradiž LE, Šterk M, Petrijan T, Gradišnik P, Gosak M. The Brain as a
Complex Network: Assessment of EEG-Based Functional Connectivity
Patterns in Patients With Childhood Absence Epilepsy. Epileptic Disord
(2020) 22:1–12. doi: 10.1684/epd.2020.1203 211. Barua AK, Goel P. Isles Within Islets: The Lattice Origin of Small-World
Networks in Pancreatic Tissues. Phys D Nonlinear Phenom (2016) 315:49–
57. doi: 10.1016/J.PHYSD.2015.07.009 212. Loppini A, Chiodo L. Biophysical Modeling of b-Cells Networks: Realistic
Architectures and Heterogeneity Effects. Biophys Chem (2019) 254:106247. doi: 10.1016/J.BPC.2019.106247 234. Lurie DJ, Kessler D, Bassett DS, Betzel RF, Breakspear M, Kheilholz S, et al. Questions and Controversies in the Study of Time-Varying Functional
Connectivity in Resting fMRI. Netw Neurosci (2020) 4:30–69. doi: 10.1162/
NETN_A_00116 213. Korošak D, Jusup M, Podobnik B, Stožer A, Dolenšek J, Holme P, et al. Autopoietic Influence Hierarchies in Pancreatic Cells. Phys Rev Lett (2021)
127:168101. doi: 10.1103/PHYSREVLETT.127.168101 235. Tewarie P, Hillebrand A, van Dijk BW, Stam CJ, O’Neill GC, Van Mieghem
P, et al. Integrating Cross-Frequency and Within Band Functional Networks
in Resting-State MEG: A Multi-Layer Network Approach. Neuroimage
(2016) 142:324–36. doi: 10.1016/j.neuroimage.2016.07.057 214. Ng XW, Chung YH, Piston DW. Intercellular Communication in the Islet of
Langerhans in Health and Disease. Compr Physiol (2021) 11:2191–225. doi: 10.1002/cphy.c200026 236. De Domenico M. Multilayer Modeling and Analysis of Human Brain
Networks. Gigascience (2017) 6:1–8. doi: 10.1093/GIGASCIENCE/
GIX004 215. Gao R, Yang T, Zhang Q. d-Cells: The Neighborhood Watch in the Islet
Community. Biol (Basel) (2021) 10:74. doi: 10.3390/biology10020074 237. Buldú JM, Porter MA. Frequency-Based Brain Networks: From a Multiplex
Framework to a Full Multilayer Description. Netw Neurosci (2018) 2:418–41. doi: 10.1162/NETN_A_00033 216. Morriseau TS, Doucette C, Dolinsky VW. More Than Meets the Islet:
Aligning Nutrient and Paracrine Inputs With Hormone Secretion in
Health and Disease. Am J Physiol Metab (2022) 322(5):E446–63. doi: 10.1152/ajpendo.00411.2021 238. Naro A, Maggio MG, Leo A, Calabrò RS. Multiplex and Multilayer Network
EEG Analyses: A Novel Strategy in the Differential Diagnosis of Patients
With Chronic Disorders of Consciousness. REFERENCES Disorganization of Cytoplasmic Ca2+
Oscillations and Pulsatile Insulin Secretion in Islets From Ob/Ob Mice. Diabetologia (2002) 45:1154–63. doi: 10.1007/s00125-002-0883-9 197. Martı́n F, Soria B. Glucose-Induced [Ca2+] Oscillations in Single Human
Pancreatic Islets. Cell Calcium (1996) 20:409–14. doi: 10.1016/S0143-4160
(96)90003-2 178. Farnsworth NL, Walter R, Piscopio RA, Schleicher WE, Benninger RKP. Exendin-4 Overcomes Cytokine-Induced Decreases in Gap Junction
Coupling via Protein Kinase A and Epac2 in Mouse and Human Islets. J
Physiol (2019) 597:431–47. doi: 10.1113/JP276106 198. Kilimnik G, Zhao B, Jo J, Periwal V, Witkowski P, Misawa R, et al. Altered
Islet Composition and Disproportionate Loss of Large Islets in Patients With
Type 2 Diabetes. PLoS One (2011) 6:e27445. doi: 10.1371/journal. pone.0027445 179. do Amaral MEC, Kravets V, Dwulet JAM, Farnsworth NL, Piscopio R,
Schleicher WE, et al. Caloric Restriction Recovers Impaired b-Cell-b-Cell
Gap Junction Coupling, Calcium Oscillation Coordination, and Insulin
Secretion in Prediabetic Mice. Am J Physiol - Endocrinol Metab (2020)
319:E709–20. doi: 10.1152/AJPENDO.00132.2020 199. Pedersen MG. Contributions of Mathematical Modeling of Beta Cells to the
Understanding of Beta-Cell Oscillations and Insulin Secretion. J Diabetes Sci
Technol (2009) 3:16–20. doi: 10.1177/193229680900300103 180. Stožer A, Paradiž Leitgeb E, Pohorec V, Dolenšek J, Križančić Bombek L,
Gosak M, et al. The Role of cAMP in Beta Cell Stimulus–Secretion and
Intercellular Coupling. Cells (2021) 10:1658. doi: 10.3390/cells10071658 200. Félix-Martı́nez GJ, Godı́nez-Fernández JR. Mathematical Models of
Electrical Activity of the Pancreatic b-Cell: A Physiological Review. Islets
(2014) 6:e949195. doi: 10.4161/19382014.2014.949195 201. Zavala E, Wedgwood KCA, Voliotis M, Tabak J, Spiga F, Lightman SL, et al. Mathematical Modelling of Endocrine Systems. Trends Endocrinol Metab
(2019) 30:244–57. doi: 10.1016/j.tem.2019.01.008 181. Shuai H, Xu Y, Yu Q, Gylfe E, Tengholm A. Fluorescent Protein Vectors for
Pancreatic Islet Cell Identification in Live-Cell Imaging. Pflugers Arch (2016)
468:1765–77. doi: 10.1007/s00424-016-1864-z June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 25 Multicellular Networks Within Pancreatic Islets Stozˇer et al. 202. Sherman A, Rinzel J. Model for Synchronization of Pancreatic Beta-Cells by
Gap Junction Coupling. Biophys J (1991) 59:547–59. doi: 10.1016/S0006-
3495(91)82271-8 223. Hammoud Z, Kramer F. Multilayer Networks: Aspects, Implementations,
and Application in Biomedicine. Big Data Anal (2020) 5:2. doi: 10.1186/
s41044-020-00046-0 224. Silverman EK, Schmidt HHHW, Anastasiadou E, Altucci L, Angelini M,
Badimon L, et al. Molecular Networks in Network Medicine: Development
and Applications. Wiley Interdiscip Rev Syst Biol Med (2020) 12:e1489. doi: 10.1002/WSBM.1489 203. Nittala A, Ghosh S, Wang X. REFERENCES Investigating the Role of Islet Cytoarchitecture
in its Oscillation Using a New b-Cell Cluster Model. PLoS One (2007) 2(19):
e983. doi: 10.1371/journal.pone.0000983 204. Loppini A, Capolupo A, Cherubini C, Gizzi A, Bertolaso M, Filippi S, et al. On
the Coherent Behavior of Pancreatic Beta Cell Clusters. Phys Lett Sect A Gen At
Solid State Phys (2014) 378:3210–7. doi: 10.1016/j.physleta.2014.09.041 225. De Domenico M, Nicosia V, Arenas A, Latora V. Structural Reducibility of
Multilayer Networks. Nat Commun (2015) 6:6864. doi: 10.1038/
ncomms7864 205. Saadati M, Jamali Y. The Effects of Beta-Cell Mass and Function,
Intercellular Coupling, and Islet Synchrony on Ca2+ Dynamics. Sci Rep
(2021) 11:10268. doi: 10.1038/s41598-021-89333-x 226. Aleta A, Moreno Y. Multilayer Networks in a Nutshell. Annu Rev Condens
Matter Phys (2019) 10:45–62. doi: 10.1146/annurev-conmatphys-031218-
013259 206. Loppini A, Pedersen MG, Braun M, Filippi S. Gap-Junction Coupling and
ATP-Sensitive Potassium Channels in Human b -Cell Clusters: Effects on
Emergent Dynamics. Phys Rev E (2017) 96:32403. doi: 10.1103/PHYSREVE. 96.032403 227. Klosik DF, Grimbs A, Bornholdt S, Hütt M-T. The Interdependent Network
of Gene Regulation and Metabolism is Robust Where it Needs to be. Nat
Commun (2017) 8:534. doi: 10.1038/s41467-017-00587-4 228. Liu X, Maiorino E, Halu A, Glass K, Prasad RB, Loscalzo J, et al. Robustness
and Lethality in Multilayer Biological Molecular Networks. Nat Commun
(2020) 11:6043. doi: 10.1038/s41467-020-19841-3 207. Aslanidi OV, Mornev OA, Skyggebjerg O, Arkhammar P, Thastrup O,
Sørensen MP, et al. Excitation Wave Propagation as a Possible Mechanism
for Signal Transmission in Pancreatic Islets of Langerhans. Biophys J (2001)
80:1195–209. doi: 10.1016/S0006-3495(01)76096-1 229. Uversky VN, Giuliani A. Networks of Networks: An Essay on Multi-Level
Biological Organization. Front Genet (2021) 12:706260. doi: 10.3389/
FGENE.2021.706260 208. Šterk M, Dolenšek J, Bombek LK, Markovič R, Zakelšek D, Perc M, et al. Assessing the Origin and Velocity of Ca2+ Waves in Three-Dimensional
Tissue: Insights From a Mathematical Model and Confocal Imaging in
Mouse Pancreas Tissue Slices. Commun Nonlinear Sci Numer Simul (2021)
93:105495. doi: 10.1016/j.cnsns.2020.105495 230. Jin H, Zhang CX, Ma M, Gong Q, Yu L, Guo X, et al. Inferring Essential
Proteins From Centrality in Interconnected Multilayer Networks. Phys A
Stat Mech Appl (2020) 557:124853. doi: 10.1016/J.PHYSA.2020.124853 209. Scialla S, Loppini A, Patriarca M, Heinsalu E. Hubs, Diversity, and
Synchronization in FitzHugh-Nagumo Oscillator Networks: Resonance
Effects and Biophysical Implications. Phys Rev E (2021) 103:52211. doi: 10.1103/PhysRevE.103.052211 231. Calhoun VD, Miller R, Pearlson G, Adali T. REFERENCES Int J Neural Syst (2021)
31:2050052. doi: 10.1142/S0129065720500525 217. Grespan E, Giorgino T, Arslanian S, Natali A, Ferrannini E, Mari A. Defective Amplifying Pathway of b-Cell Secretory Response to Glucose in
Type 2 Diabetes: Integrated Modeling of In Vitro and In Vivo Evidence. Diabetes (2018) 67:496–506. doi: 10.2337/DB17-1039 239. Crofts JJ, Forrester M, O’Dea RD. Structure-Function Clustering in
Multiplex Brain Networks. Europhys Lett (2016) 116:18003. doi: 10.1209/
0295-5075/116/18003 218. Holme P, Saramäki J. Temporal Networks. Phys Rep (2012) 519:97–125. doi: 10.1016/J.PHYSREP.2012.03.001 219. Boccaletti S, Bianconi G, Criado R, del Genio CI, Gómez-Gardeñes J,
Romance M, et al. The Structure and Dynamics of Multilayer Networks. Phys Rep (2014) 544:1–122. doi: 10.1016/j.physrep.2014.07.001 240. Cabral J, Kringelbach ML, Deco G. Functional Connectivity Dynamically
Evolves on Multiple Time-Scales Over a Static Structural Connectome:
Models and Mechanisms. Neuroimage (2017) 160:84–96. doi: 10.1016/
J.NEUROIMAGE.2017.03.045 220. Battiston F, Cencetti G, Iacopini I, Latora V, Lucas M, Patania A, et al. Networks Beyond Pairwise Interactions: Structure and Dynamics. Phys Rep
(2020) 874:1–92. doi: 10.1016/J.PHYSREP.2020.05.004 241. Jacob S, Köhler M, Tröster P, Visa M, Garcı́a-Prieto CF, Alanentalo T, et al. In Vivo Ca2+ Dynamics in Single Pancreatic b Cells. FASEB J (2020) 34:945–
59. doi: 10.1096/FJ.201901302RR 221. Torres L, Blevins AS, Bassett D, Eliassi-Rad T. The Why, How, and When of
Representations for Complex Systems. SIAM Rev (2021) 63:435–85. doi: 10.1137/20M1355896 242. Marinelli I, Fletcher PA, Sherman AS, Satin LS, Bertram R. Symbiosis of
Electrical and Metabolic Oscillations in Pancreatic b-Cells. Front Physiol
(2021) 12:781581. doi: 10.3389/fphys.2021.781581 222. Halu A, De Domenico M, Arenas A, Sharma A. The Multiplex Network of
Human Diseases. NPJ Syst Biol Appl (2019) 5:15. doi: 10.1038/s41540-019-
0092-5 243. Nilsson T, Schultz V, Berggren PO, Corkey BE, Tornheim K. Temporal
Patterns of Changes in ATP/ADP Ratio, Glucose 6-Phosphate and June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 26 Multicellular Networks Within Pancreatic Islets Stozˇer et al. Cytoplasmic Free Ca2+ in Glucose-Stimulated Pancreatic b-Cells. Biochem J
(1996) 314:91–4. doi: 10.1042/BJ3140091 Cytoplasmic Free Ca2+ in Glucose-Stimulated Pancreatic b-Cells. Biochem J
(1996) 314:91–4. doi: 10.1042/BJ3140091 265. Curry DL, Bennett LL, Grodsky GM. Requirement for Calcium Ion in Insulin
Secretion by the Perfused Rat Pancreas. Am J Physiol (1968) 214:174–8. doi: 10.1152/AJPLEGACY.1968.214.1.174 244. Merrins MJ, Poudel C, McKenna JP, Ha J, Sherman A, Bertram R, et al. Phase Analysis of Metabolic Oscillations and Membrane Potential in
Pancreatic Islet b-Cells. Biophys J (2016) 110:691–9. REFERENCES Cell-Cell Interactions in the Endocrine Pancreas. Diabetes
Obes Metab (2009) 11:159–67. doi: 10.1111/j.1463-1326.2009.01102.x 273. Yamada K, Saito M, Matsuoka H, Inagaki N. A Real-Time Method of
Imaging Glucose Uptake in Single, Living Mammalian Cells. Nat Protoc
(2007) 2:753–62. doi: 10.1038/nprot.2007.76 253. Briant LJB, Reinbothe TM, Spiliotis I, Miranda C, Rodriguez B,
Rorsman P. d-Cells and b-Cells are Electrically Coupled and Regulate
a-Cell Activity via Somatostatin. J Physiol (2018) 596:197–215. doi: 10.1113/JP274581 274. Tornheim K. Are Metabolic Oscillations Responsible for Normal Oscillatory
Insulin Secretion? Diabetes (1997) 46:1375–80. doi: 10.2337/DIAB.46.9.1375 275. Merrins MJ, Van Dyke AR, Mapp AK, Rizzo MA, Satin LS. Direct
Measurements of Oscillatory Glycolysis in Pancreatic Islet b-Cells Using
Novel Fluorescence Resonance Energy Transfer (FRET) Biosensors for
Pyruvate Kinase M2 Activity. J Biol Chem (2013) 288:33312–22. doi: 10.1074/jbc.M113.508127 254. Miranda C, Begum M, Vergari E, Briant LJB. Gap Junction Coupling and
Islet Delta-Cell Function in Health and Disease. Peptides (2022) 147:170704. doi: 10.1016/j.peptides.2021.170704 255. Nicosia V, Latora V. Measuring and Modeling Correlations in Multiplex
Networks. Phys Rev E Stat Nonlin Soft Matter Phys (2015) 92:32805. doi: 10.1103/PhysRevE.92.032805 276. Pralong WF, Bartley C, Wollheim CB. Single Islet Beta-Cell Stimulation by
Nutrients: Relationship Between Pyridine Nucleotides, Cytosolic Ca2+ and
Secretion. EMBO J (1990) 9:53–60. doi: 10.1002/j.1460-2075.1990.tb08079.x 256. Bentley B, Branicky R, Barnes CL, Chew YL, Yemini E, Bullmore ET, et al. The Multilayer Connectome of Caenorhabditis Elegans. PloS Comput Biol
(2016) 12:e1005283. doi: 10.1371/JOURNAL.PCBI.1005283 277. Bertram R, Satin LS, Pedersen MG, Luciani DS, Sherman A. Interaction of
Glycolysis and Mitochondrial Respiration in Metabolic Oscillations of
Pancreatic Islets. Biophys J (2007) 92:1544–55. doi: 10.1529/biophysj. 106.097154 257. Maertens T, Schöll E, Ruiz J, Hövel P. Multilayer Network Analysis of C. Elegans: Looking Into the Locomotory Circuitry. Neurocomputing (2021)
427:238–61. doi: 10.1016/J.NEUCOM.2020.11.015 278. Pedersen MG, Mosekilde E, Polonsky KS, Luciani DS. Complex Patterns of
Metabolic and Ca2+ Entrainment in Pancreatic Islets by Oscillatory Glucose. Biophys J (2013) 105:29–39. doi: 10.1016/j.bpj.2013.05.036 258. Virkar YS, Shew WL, Restrepo JG, Ott E. Feedback Control Stabilization of
Critical Dynamics via Resource Transport on Multilayer Networks: How
Glia Enable Learning Dynamics in the Brain. Phys Rev E (2016) 94:42310. doi: 10.1103/PHYSREVE.94.042310 279. Patterson GH, Knobel SM, Arkhammar P, Thastrup O, Piston DW. Separation of the Glucose-Stimulated Cytoplasmic and Mitochondrial
NAD(P)H Responses in Pancreatic Islet Beta Cells. Proc Natl Acad Sci
(2000) 97:5203–7. doi: 10.1073/pnas.090098797 259. Seino S, Sugawara K, Yokoi N, Takahashi H. REFERENCES doi: 10.1016/
J.BPJ.2015.12.029 266. Malaisse-Lagae F, Malaisse WJ. The Stimulus-Secretion Coupling of
Glucose-Induced Insulin Release. III. Uptake of 45 Calcium by Isolated
Islets of Langerhans. Endocrinology (1971) 88:72–80. doi: 10.1210/ENDO-
88-1-72 245. Rorsman P, Ashcroft FM. Pancreatic b-Cell Electrical Activity and Insulin
Secretion: Of Mice and Men. Physiol Rev (2018) 98:117–214. doi: 10.1152/
PHYSREV.00008.2017 267. Yau B, Hocking S, Andrikopoulos S, Kebede MA. Targeting the Insulin
Granule for Modulation of Insulin Exocytosis. Biochem Pharmacol (2021)
194:114821. doi: 10.1016/j.bcp.2021.114821 246. De Domenico M, Sasai S, Arenas A. Mapping Multiplex Hubs in Human
Functional Brain Networks. Front Neurosci (2016) 10:326. doi: 10.3389/
FNINS.2016.00326 j
268. Thurmond DC, Gaisano HY. Recent Insights Into Beta-Cell Exocytosis in
Type 2 Diabetes. J Mol Biol (2020) 432:1310–25. doi: 10.1016/j.jmb. 2019.12.012 247. Li A, Cornelius SP, Liu YY, Wang L, Barabási AL. The Fundamental
Advantages of Temporal Networks. Science (2017) 358:1042–6. doi: 10.1126/SCIENCE.AAI7488 269. Hastoy B, Clark A, Rorsman P, Lang J. Fusion Pore in Exocytosis: More Than
an Exit Gate? A b-Cell Perspective. Cell Calcium (2017) 68:45–61. doi: 10.1016/j.ceca.2017.10.005 248. Fisher DN, Pinter-Wollman N, Zhi-Yun J. Using Multilayer Network
Analysis to Explore the Temporal Dynamics of Collective Behavior. Curr
Zool (2021) 67:71–80. doi: 10.1093/CZ/ZOAA050 270. Gembal M, Gilon P, Henquin JC. Evidence That Glucose can Control Insulin
Release Independently From Its Action on ATP-Sensitive K+ Channels in
Mouse B Cells. J Clin Invest (1992) 89:1288–95. doi: 10.1172/JCI115714 249. Speier S, Nyqvist D, Cabrera O, Yu J, Molano RD, Pileggi A, et al. Noninvasive In Vivo Imaging of Pancreatic Islet Cell Biology. Nat Med
(2008) 14:574–8. doi: 10.1038/nm1701 271. Chen C, Chmelova H, Cohrs CM, Chouinard JA, Jahn SR, Stertmann J, et al. Alterations in b-Cell Calcium Dynamics and Efficacy Outweigh Islet Mass
Adaptation in Compensation of Insulin Resistance and Prediabetes Onset. Diabetes (2016) 65:2676–85. doi: 10.2337/db15-1718 250. Weitz JR, Makhmutova M, Almaça J, Stertmann J, Aamodt K, Brissova M,
et al. Mouse Pancreatic Islet Macrophages Use Locally Released ATP to
Monitor Beta Cell Activity. Diabetologia (2018) 61:182–92. doi: 10.1007/
S00125-017-4416-Y 272. Yoshioka K, Takahashi H, Homma T, Saito M, Oh K-B, Nemoto Y, et al. A Novel Fluorescent Derivative of Glucose Applicable to the Assessment of
Glucose Uptake Activity of Escherichia Coli. Biochim Biophys Acta - Gen
Subj (1996) 1289:5–9. doi: 10.1016/0304-4165(95)00153-0 251. Meda P. The In Vivo Beta-to-Beta-Cell Chat Room: Connexin Connections
Matter. Diabetes (2012) 61:1656–8. doi: 10.2337/db12-0336 252. Jain R, Lammert E. REFERENCES b-Cell Signalling and Insulin
Secretagogues: A Path for Improved Diabetes Therapy. Diabetes Obes Metab
(2017) 19:22–9. doi: 10.1111/DOM.12995 280. Kindmark H, Köhler M, Brown G, Bränström R, Larsson O, Berggren PO. Glucose-Induced Oscillations in Cytoplasmic Free Ca2+ Concentration
Precede Oscillations in Mitochondrial Membrane Potential in the
Pancreatic Beta-Cell. J Biol Chem (2001) 276:34530–6. doi: 10.1074/
jbc.M102492200 260. Henquin J-C. Paracrine and Autocrine Control of Insulin Secretion in
Human Islets: Evidence and Pending Questions. Am J Physiol Metab
(2020) 320:E78–86. doi: 10.1152/ajpendo.00485.2020 261. Tokarz VL, MacDonald PE, Klip A. The Cell Biology of Systemic Insulin
Function. J Cell Biol (2018) 217:2273–89. doi: 10.1083/JCB.201802095 281. Krippeit-Drews P, Düfer M, Drews G. Parallel Oscillations of Intracellular
Calcium Activity and Mitochondrial Membrane Potential in Mouse
Pancreatic B-Cells. Biochem Biophys Res Commun (2000) 267:179–83. doi: 10.1006/bbrc.1999.1921 262. Henquin J-C. The Dual Control of Insulin Secretion by Glucose Involves
Triggering and Amplifying Pathways in b-Cells. Diabetes Res Clin Pract
(2011) 93:S27–31. doi: 10.1016/S0168-8227(11)70010-9 263. Pedersen MG, Tagliavini A, Henquin JC. Calcium Signaling and Secretory
Granule Pool Dynamics Underlie Biphasic Insulin Secretion and its
Amplification by Glucose: Experiments and Modeling. Am J Physiol -
Endocrinol Metab (2019) 316:E475–86. doi: 10.1152/AJPENDO. 00380.2018 282. Cameron WD, Bui CV, Hutchinson A, Loppnau P, Gräslund S, Rocheleau
JV. Apollo-NADP(+): A Spectrally Tunable Family of Genetically Encoded
Sensors for NADP(+). Nat Methods (2016) 13:352–8. doi: 10.1038/
nmeth.3764 283. Deglasse J-P, Roma LP, Pastor-Flores D, Gilon P, Dick TP, Jonas J-C. Glucose Acutely Reduces Cytosolic and Mitochondrial H2O2 in Rat
Pancreatic Beta Cells. Antioxid Redox Signal (2019) 30:297–313. doi: 10.1089/ars.2017.7287 264. Rohli KE, Boyer CK, Blom SE, Stephens SB. Nutrient Regulation of
Pancreatic Islet b-Cell Secretory Capacity and Insulin Production. Biomolecules (2022) 12(2):335–59. doi: 10.3390/BIOM12020335 June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 27 Multicellular Networks Within Pancreatic Islets Stozˇer et al. 284. Kennedy HJ, Pouli AE, Ainscow EK, Jouaville LS, Rizzuto R, Rutter GA. Glucose Generates Sub-Plasma Membrane ATP Microdomains in Single
Islet Beta-Cells. Potential Role for Strategically Located Mitochondria. J Biol
Chem (1999) 274:13281–91. doi: 10.1074/jbc.274.19.13281 300. Stendahl JC, Kaufman DB, Stupp SI. Extracellular Matrix in Pancreatic Islets:
Relevance to Scaffold Design and Transplantation. Cell Transplant (2009)
18:1–12. doi: 10.3727/096368909788237195 301. Marciniak A, Cohrs CM, Tsata V, Chouinard JA, Selck C, Stertmann J, et al. Using Pancreas Tissue Slices for In Situ Studies of Islet of Langerhans and
Acinar Cell Biology. Nat Protoc (2014) 9:2809–22. REFERENCES Network Science: A Useful Tool in Economics and
Finance. Mind Soc (2015) 14:155–67. doi: 10.1007/s11299-015-0167-y 309. Wang X, Sirianni AD, Tang S, Zheng Z, Fu F. Public Discourse and Social
Network Echo Chambers Driven by Socio-Cognitive Biases. Phys Rev X
(2020) 10:41042. doi: 10.1103/PhysRevX.10.041042 293. Capozzi ME, Svendsen B, Encisco SE, Lewandowski SL, Martin MD, Lin H,
et al. b Cell Tone Is Defined by Proglucagon Peptides Through cAMP
Signaling. JCI Insight (2019) 4(5):e126742. doi: 10.1172/jci.insight.126742 310. Hamedmoghadam H, Jalili M, Vu HL, Stone L. Percolation of
Heterogeneous Flows Uncovers the Bottlenecks of Infrastructure
Networks. Nat Commun (2021) 12:1254. doi: 10.1038/s41467-021-21483-y 294. El K, Gray SM, Capozzi ME, Knuth ER, Jin E, Svendsen B, et al. GIP Mediates
the Incretin Effect and Glucose Tolerance by Dual Actions on a Cells and b
Cells. Sci Adv (2021) 7:eabf1948. doi: 10.1126/sciadv.abf1948 Conflict of Interest: The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could be construed as a
potential conflict of interest. 295. Li D, Chen S, Bellomo EA, Tarasov AI, Kaut C, Rutter GA, et al. Imaging
Dynamic Insulin Release Using a Fluorescent Zinc Indicator for Monitoring
Induced Exocytotic Release (ZIMIR). Proc Natl Acad Sci (2011) 108:21063–8. doi: 10.1073/pnas.1109773109 Publisher’s Note: All claims expressed in this article are solely those of the authors
and do not necessarily represent those of their affiliated organizations, or those of
the publisher, the editors and the reviewers. Any product that may be evaluated in
this article, or claim that may be made by its manufacturer, is not guaranteed or
endorsed by the publisher. 296. Huey J, Keutler K, Schultz C. Chemical Biology Toolbox for Studying
Pancreatic Islet Function – A Perspective. Cell Chem Biol (2020) 27:1015–
31. doi: 10.1016/j.chembiol.2020.07.023 297. Takahashi N, Kishimoto T, Nemoto T, Kadowaki T, Kasai H. Fusion Pore
Dynamics and Insulin Granule Exocytosis in the Pancreatic Islet. Science
(2002) 297:1349–52. doi: 10.1126/science.1073806 298. Gan WJ, Do OH, Cottle L, Ma W, Kosobrodova E, Cooper-White J, et al. Local
Integrin Activation in Pancreatic b Cells Targets Insulin Secretion to the
Vasculature. Cell Rep (2018) 24:2819–26. doi: 10.1016/j.celrep.2018.08.035 Copyright © 2022 Stožer, Šterk, Paradiž Leitgeb, Markovič, Skelin Klemen, Ellis,
Križančić Bombek, Dolenšek, MacDonald and Gosak. This is an open-access article
distributed under the terms of the Creative Commons Attribution License (CC BY). REFERENCES doi: 10.1038/nprot. 2014.195 285. Tarasov AI, Semplici F, Li D, Rizzuto R, Ravier MA, Gilon P, et al. Frequency-Dependent Mitochondrial Ca2+ Accumulation Regulates ATP
Synthesis in Pancreatic b Cells. Pflugers Arch (2013) 465:543–54. doi: 10.1007/s00424-012-1177-9 302. Qadir MMF, Á lvarez-Cubela S, Weitz J, Panzer JK, Klein D, Moreno-
Hernández Y, et al. Long-Term Culture of Human Pancreatic Slices as a
Model to Study Real-Time Islet Regeneration. Nat Commun (2020) 11:3265. doi: 10.1038/s41467-020-17040-8 286. Lewandowski SL, Cardone RL, Foster HR, Ho T, Potapenko E, Poudel C,
et al. Pyruvate Kinase Controls Signal Strength in the Insulin Secretory
Pathway. Cell Metab (2020) 32:736–50. doi: 10.1016/j.cmet.2020.10.007 287. Zhao Y, Shen Y, Wen Y, Campbell RE. High-Performance Intensiometric
Direct- and Inverse-Response Genetically Encoded Biosensors for Citrate. ACS Cent Sci (2020) 6:1441–50. doi: 10.1021/acscentsci.0c00518 303. Stožer A, Dolenšek J, Križančić Bombek L, Pohorec V, Slak Rupnik M,
Klemen MS. Confocal Laser Scanning Microscopy of Calcium Dynamics in
Acute Mouse Pancreatic Tissue Slices. J Vis Exp (2021) 170:e62293. doi: 10.3791/62293 288. Nasu Y, Murphy-Royal C, Wen Y, Haidey JN, Molina RS, Aggarwal A, et al. A Genetically Encoded Fluorescent Biosensor for Extracellular L-Lactate. Nat Commun (2021) 12:7058. doi: 10.1038/s41467-021-27332-2 304. Prince VE, Anderson RM, Dalgin G. Zebrafish Pancreas Development and
Regeneration. Curr Top Dev Biol (2017) 124:235–76. doi: 10.1016/
bs.ctdb.2016.10.005 289. Kuznetsov A, Bindokas VP, Marks JD, Philipson LH. FRET-Based Voltage
Probes for Confocal Imaging: Membrane Potential Oscillations Throughout
Pancreatic Islets. Am J Physiol Cell Physiol (2005) 289:C224–9. doi: 10.1152/
ajpcell.00004.2005 305. Ilegems E, Berggren PO. The Eye as a Transplantation Site to Monitor
Pancreatic Islet Cell Plasticity. Front Endocrinol (Lausanne) (2021)
12:652853. doi: 10.3389/FENDO.2021.652853 290. Mollinedo-Gajate I, Song C, Knöpfel T. Genetically Encoded Voltage
Indicators. Adv Exp Med Biol (2021) 1293:209–24. doi: 10.1007/978-981-
15-8763-4_12 306. Mojibian M, Harder B, Hurlburt A, Bruin JE, Asadi A, Kieffer TJ. Implanted
Islets in the Anterior Chamber of the Eye Are Prone to Autoimmune Attack
in a Mouse Model of Diabetes. Diabetologia (2013) 56:2213–21. doi: 10.1007/
s00125-013-3004-z 291. Reinbothe TM, Mollet IG. Optogenetic Control of Pancreatic Islets. In:
Kianianmomeni A. (eds) Optogenetics. Methods in Molecular Biology, vol
1408, New York, NY: Humana Press. doi: 10.1007/978-1-4939-5512-3_8 307. Motter AE, Albert R. Networks in Motion. Phys Today (2012) 65:43–8. doi: 10.1063/PT.3.1518 292. Drucker DJ. Mechanisms of Action and Therapeutic Application of
Glucagon-Like Peptide-1. Cell Metab (2018) 27:740–56. doi: 10.1016/
j.cmet.2018.03.001 308. Kenett DY, Havlin S. June 2022 | Volume 13 | Article 922640 REFERENCES The use, distribution or reproduction in other forums is permitted, provided the
original author(s) and the copyright owner(s) are credited and that the original
publication in this journal is cited, in accordance with accepted academic practice. No
use, distribution or reproduction is permitted which does not comply with these terms. 299. Gosak M, Dolenšek J, Markovič R, Slak Rupnik M, Marhl M, Stožer A. Multilayer Network Representation of Membrane Potential and Cytosolic
Calcium Concentration Dynamics in Beta Cells. Chaos Solitons Fractals
(2015) 80:76–82. doi: 10.1016/j.chaos.2015.06.009 June 2022 | Volume 13 | Article 922640 Frontiers in Endocrinology | www.frontiersin.org 28
|
https://openalex.org/W2888321306
|
https://europepmc.org/articles/pmc6173346?pdf=render
|
English
| null |
Anger and Coronary Artery Disease in Women Submitted to Coronary Angiography: A 48-Month Follow-Up
|
Arquivos Brasileiros de Cardiologia
| 2,018
|
cc-by
| 5,430
|
Original Article Original Article Mailing Address: Márcia Moura Schmidt •
Avenida Princesa Isabel, 370. Postal Code 90620-000, Santana,
Porto Alegre, RS – Brazil
E-mail: mmoura.pesquisa@gmail.com, mouramarcia050@gmail.com
Manuscript received August 11, 2017, revised manuscript December 20,
2017, accepted April 11, 2018 Abstract Background: Anger control was significantly lower in patients with coronary artery disease (CAD), regardless of traditionally
known risk factors, occurrence of prior events or other anger aspects in a previous study of our research group. Objective: To assess the association between anger and CAD, its clinical course and predictors of low anger control in
women submitted to coronary angiography. Methods: This is a cohort prospective study. Anger was assessed by use of Spielberger’s State-Trait Anger Expression Inventory
(STAXI). Women were consecutively scheduled to undergo coronary angiography, considering CAD definition as ≥ 50%
stenosis of one epicardial coronary artery. Results: During the study, 255 women were included, being divided into two groups according to their anger control average
(26.99). Those with anger control below average were younger and had a family history of CAD. Patients were followed up for
48 months to verify the occurrence of major cardiovascular events. Conclusion: Women with CAD undergoing coronary angiography had lower anger control, which was associated
with age and CAD family history. On clinical follow-up, event-free survival did not significantly differ between
patients with anger control above or below average. (Arq Bras Cardiol. 2018; 111(3):410-416) Keywords: Anger; STAXI; Personality Inventory; Coronary Artery Disease/mortality. Keywords: Anger; STAXI; Personality Inventory; Coronary Artery Disease/mortality. Karine Elisa Schwarzer Schmidt, Alexandre Schaan de Quadros, Mauro Regis Moura, Carlos Antonio Mascia
Gottschall, Márcia Moura Schmidt Instituto de Cardiologia / Fundação Universitária de Cardiologia (IC/FUC), Porto Alegre, RS – Brazil Introduction in addition to high in-hospital, early and late mortality rates
as compared to men.2,6-11 There is growing evidence that
psychological factors and emotional stress, such as anger and
hostility, can interfere with health behaviors and influence
the onset and clinical course of ischemic heart disease.2
At the biological level, the expression of anger can lead to
a chronic increase in the levels of catecholamines, evoking
an inflammatory response, increasing interleukin-6 levels,12
leading to the progression of atherosclerosis, and, eventually,
to the clinical manifestation of cardiovascular diseases.13-15 Cardiovascular diseases (CVD) remain the leading cause
of morbidity and mortality of women in several countries,
such as USA and Brazil.1 There are more deaths from CVD
(41.3%) than from the next seven causes of death combined,
and the risk of dying from CVD is six-fold greater than that
from breast cancer, the major concern among women.1
There are sex-specific differences regarding CVD presentation,
pathophysiology and clinical outcomes; however, as observed
by Shivpuri S. et al.2, in a meta-analysis only 5 of 21 studies
provided information specific to the female sex, and only a
few reported sex-specific differences.2-4 In a previous study, we have reported a significantly lower
control of anger in patients with coronary artery disease (CAD),
independently of the traditional risk factors, the occurrence
of previous events or other aspects of anger.16 Recent data have shown a significant increase in the
incidence of cardiovascular disease and deaths among women
aged 45 to 54 years, in contrast to the declining trend observed
in Brazil and worldwide.2,5 According to the American Heart
Association, women show a worse risk factor profile and higher
mortality among the youngsters as compared to the elderly, This study aimed at assessing the association between anger
and CAD, its clinical course and predictors of low anger control
in women undergoing cine coronary angiography. Outcomes valvular heart disease; congenital heart disease; severe diseases
with life expectancy <6 months; severe aortic stenosis; and
ejection fraction <30%. The project was submitted to the
Ethics Committee in Research of the institution and was
in accordance with the Declaration of Helsinki and the
Resolution 466/12 of the National Council of Health. The outcome primary cardiovascular event was a
combination of cardiovascular death, acute myocardial
infarction (AMI), myocardial revascularization or hospitalization
due to angina. Cardiovascular death was defined as any death
due to immediate cardiac causes (AMI, cardiogenic shock,
arrhythmia), or death of unknown cause. Acute myocardial
infarction was considered in the presence of: 1) increase
and/or gradual decrease in cardiac biomarkers (preferably
troponin) with at least one measure over the 99th percentile
and at least one of the following criteria: 1) chest pain
> 10 minutes or new ST-T changes or new left bundle-branch
block; or 2) development of pathological Q waves (duration
≥ 0.03 seconds; depth ≥1 mm) in at least two contiguous
precordial leads or at least two leads of adjacent limbs; or
3) evidence of viable myocardial loss or new regional wall motion
abnormality on any imaging test. Myocardial revascularization
comprised primary percutaneous coronary intervention
(PCIp) or coronary artery bypass grafting (CABG) occurring
after entrance into the study. Hospitalization due to angina
was defined as hospital length of stay longer than 24 hours to
assess or treat cardiac chest pain, with neither AMI nor need
for myocardial revascularization. Coronary angiography Coronary angiography was performed according to the
Judkins technique, all analyses were performed in at least
two views, and the severity of the coronary obstructions
was assessed by use of a digital calibration system previously
validated (Siemens AxiomArtis - Munich, German). Prior to the
measurements, intracoronary nitroglycerin was administered
routinely at the dose of 100-200 μg. Coronary artery disease was
defined as ≥ 50% stenosis of at least one major epicardial artery. Assessment of anger Anger is an emotional state that consists of feelings that
vary in intensity from mild irritation or annoyance to intense
fury and rage, and changes over time spams depending on
what is perceived as injustice or frustration.17 Anger assessment
was performed by use of Spielberger’s State-Trait Anger
Expression Inventory (STAXI),17 a tool translated to several
languages, validated in Brazil and recommended by the
Federal Council of Psychology. It comprises 40 statements
about the intensity of anger, how patients usually feel and
how often they experience anger. Each item is rated on a
four-point Likert-type scale, scored as follows: 1 for “rarely”;
2 for “sometimes”; 3 for “often”; and 4 for “almost always”. The test is subdivided into subscales: state anger, trait anger
(temperament and reaction) and anger expression (anger
expression-in, anger expression-out, and anger control). Trait anger is defined as a predisposition to experiencing anger,
indicating lasting personality trends. It is assessed by use of
questions such as: “I get angry easily”, “I get angry when my
good work is not recognized”. Anger expression provides
an assessment of how anger is experienced: suppression,
expression or control. (Examples: “I keep things to myself”,
“I do things such as slam the door”, “I boil inside, but I do not
show”). As state anger assesses the amount of anger that is
experienced at a particular time, that subscale was not used
in the sample of in-hospital patients. Statistical analysis and justification of the sample size The sample size was calculated with power of 80, alpha
of 0.05 and 95% confidence interval. At least 250 individuals
were necessary to detect a relative risk of 1.60,18 considering
the 30% incidence of MCVE in the total group of women. Continuous variables were expressed as mean ± standard
deviation, while categorical variables, as absolute number
and percentage. The characteristics of the patients with
CAD were compared to those of patients without CAD,
using Student t test for independent samples for continuous
variables and chi‑square test for categorical variables. The women were divided into two groups according to
their scores being above or below average range (26.99). Their demographic characteristics, risk factors, previous
history and STAXI scores were compared by use of Student
t test or chi-square test. Cronbach’s alpha was used to
assess the internal consistency of the STAXI subscales. Kolmogorov-Smirnov test was used to assess the normality
of the distribution of the scores. Multiple logistic regression
analysis was used to assess the variables associated with
CAD on baseline angiography and control of anger. The Kaplan‑Meier curves and the log-rank test were used
to compare event-free survival between patients with anger
control scores above and below the sample’s average range. For all tests, a p value < 0.05 was considered statistically
significant. All data were recorded in an Excel database for
analysis with the SPSS program, version 24.0 for Windows. Follow-up The participants were followed up for 48 months by use
of visits and telephone contacts, to assess the occurrence of
major cardiovascular events (MCVE), defined as cardiovascular
death, AMI, myocardial revascularization (CABG or PCI) and
hospitalization due to angina > 24 hours. Arq Bras Cardiol. 2018; 111(3):410-416 Patients This is a prospective cohort study. All women scheduled
for elective coronary angiography because of suspected
CAD during the study period were consecutively assessed. This study included women aged 18 years and older, who
provided written informed consent to participate in the study. The exclusion criteria were: indication for catheterization for DOI: 10.5935/abc.20180165 DOI: 10.5935/abc.20180165 410 Schmidt et al
Anger and coronary artery disease in women Schmidt et al
Anger and coronary artery disease in women Original Article Results Table 3 shows the baseline characteristics of the patients
regarding anger control, with 36.3% of the women with
anger control below the average range and 63.7%, over the
average range. Those with anger control below the average
range were younger (58.1 ± 8.9 vs 62.2 ± 10.9, p < 0.001)
and had a higher prevalence of family history of CAD (53.9%
vs 29.5%, p < 0.001) than those whose control of anger
was above the average range. Other characteristics, such
as weight, diabetes, previous coronary events (AMI, PCI,
CABG) and other risk factors did not differ between the two
groups. However, the patients with anger control below the
average range had a tendency towards lower prevalence of
hypertension (p = 0.09) and previous CABG (p = 0.11). On logistic regression (Table 4), only age and the family history
of CAD were predictors of poor anger control. Figure 1 shows
no significant difference in event-free survival in patients with
anger control below and above 27 points (p = 0.62). Table 3 shows the baseline characteristics of the patients
regarding anger control, with 36.3% of the women with
anger control below the average range and 63.7%, over the
average range. Those with anger control below the average
range were younger (58.1 ± 8.9 vs 62.2 ± 10.9, p < 0.001)
and had a higher prevalence of family history of CAD (53.9%
vs 29.5%, p < 0.001) than those whose control of anger
was above the average range. Other characteristics, such
as weight, diabetes, previous coronary events (AMI, PCI,
CABG) and other risk factors did not differ between the two
groups. However, the patients with anger control below the
average range had a tendency towards lower prevalence of
hypertension (p = 0.09) and previous CABG (p = 0.11). On logistic regression (Table 4), only age and the family history
of CAD were predictors of poor anger control. Figure 1 shows
no significant difference in event-free survival in patients with
anger control below and above 27 points (p = 0.62). From November 29, 2009, to february 3, 2010, 255 participants
were included. Table 1 shows the results according to the
presence of CAD, clinical history and different STAXI subscales. The patients with CAD most frequently had previous cardiac
procedures (CABG and PCIp) and a lower mean level of anger
control than patients without CAD, who most often were married
as compared to the former. Results Other risk factors, previous medical
history and anger subscales showed no significant differences. The multiple logistic regression analysis (Table 2) identified a
relationship between CAD and low anger control, previous CABG
or PCI, and marital status. The patients were followed up for 48 [39-49] months
to assess the occurrence of MCVE. From the initial sample
of 255 patients, 10 women (3.9%) could not be reached,
leaving 245 to participate in this study, 89 with anger control
below the average range, and 156, over the average range. Table 1 – Clinical characteristics, medical history and STAXI scales according to the presence of coronary artery disease (CAD)
Characteristics
CAD n = 115 (45.1%)
No CAD n = 140 (54.9%)
Total: 255 p*
Age (years), mean ± SD
61.0 ± 10.5
60.5 ± 9.7
0.65
White, n (%)
97 (85.1)
111 (79.9)
0.27
Married, n (%)
50 (43.5)
81 (57.9)
0.02
Schooling, years
6.2 ± 5.4
5.9 ±4.4
0.65
Current job, n (%)
26 (22.6)
28 (20.0)
0.61
Living alone, n (%)
28 (24.3)
32 (22.9)
0.78
Risk factors
Hypertension, n (%)
102 (88.7)
120 (85.7)
0.48
DM, n (%)
41 (35.7)
20 (27.9)
0.18
Dyslipidemia, n (%)
71 (61.7)
73 (52.1)
0.12
Smoking, n (%)
28 (24.3)
23 (16.4)
0.11
Family history of CAD, n (%)
44 (38.3)
52 (37.1)
0.85
Depression, n (%)
38 (33.0)
55 (39.3)
0.30
BMI (kg/m2), mean ± SD
27.6 ± 5.3
28.4 ± 6.0
0.25
Previous medical history
Previous AMI, n (%)
30 (26.1)
27 (19.3)
0.19
Previous PCI, n (%)
19 (16.5)
11 (7.9)
0.03
Previous CABG, n (%)
9 (7.8)
0 (0.0)
< 0.001
STAXI subscales
Trait of anger (points), mean ± SD
20.0 ± 7.9
20.7 ± 8.5
0.54
Angry temperament (points), mean ± SD
8.6 ± 4.1
8.4 ± 4.0
0.69
Angry reaction (points), mean ± SD
8.0 ± 3.5
8.6 ± 4.2
0.20
Anger expression-In (points), mean ± SD
16.03 ± 4.26
16.6 ± 5.2
0.34
Anger expression-Out (points), mean ± SD
13.2 ± 4.6
12.9 ± 4.0
0.58
Control of anger (points), mean ± SD
26.2 ± 5.00
27.7 ± 3.7
< 0.001
Anger expression (points), mean ± SD
19.0 ± 10.3
17.8 ± 9.0
0.29
SD: standard deviation; p* - p≤ 0.05, Student t test or chi-square test; DM: diabetes mellitus; BMI: body mass index; AMI: acute myocardial infarction; PCI: percutaneous
coronary intervention; CABG: coronary artery bypass grafting. Clinical characteristics at the beginning of the study The clinical and socioeconomic characteristics, risk factors
for CAD, previous medical history, clinical presentation of
CAD and history of psychological diagnosis were assessed and
included in a dedicated database. Hypertension was defined as
previous diagnosis of the condition or use of anti‑hypertensives. Dyslipidemia was considered present in those previously
diagnosed with the condition or on lipid-lowering drugs. Diabetes mellitus was defined as the previous use of insulin
or oral hypoglycemic drugs, or the presence of documented
fasting blood sugar > 126 mg/dL on two occasions. Previous history of depression was defined as the occurrence of
at least one major depressive episode that required treatment
with antidepressants. Arq Bras Cardiol. 2018; 111(3):410-416 411 Schmidt et al
Anger and coronary artery disease in women Schmidt et al
Anger and coronary artery disease in women Schmidt et al
Anger and coronary artery disease in women Original Article Results al characteristics, medical history and STAXI scales according to the presence of coronary artery disease (CAD) Arq Bras Cardiol. 2018; 111(3):410-416 412 Original Article
Schmidt et al
Anger and coronary artery disease in women
Table 2 – Relationship between coronary artery disease and baseline characteristics
Characteristics
Beta Coefficient
95% CI for Beta Coefficient
Total: 255 p *
Low control of anger
0.15
0.03 – 0.27
0.01
Married
- 0.12
- 0.24 – - 0.01
0.03
Previous PCI
0.14
0.04 – 0.40
0.02
Previous CABG
0.16
0.26 – 0.90
< 0.001
p * - p ≤ 0.05, Wald test; CI: confidence interval; PCI: percutaneous coronary intervention; CABG: coronary artery bypass grafting. Schmidt et al
Anger and coronary artery disease in women Table 2 – Relationship between coronary artery disease and baseline characteristics
Characteristics
Beta Coefficient
95% CI for Beta Coefficient
Total: 255 p *
Low control of anger
0.15
0.03 – 0.27
0.01
Married
- 0.12
- 0.24 – - 0.01
0.03
Previous PCI
0.14
0.04 – 0.40
0.02
Previous CABG
0.16
0.26 – 0.90
< 0.001
p * - p ≤ 0.05, Wald test; CI: confidence interval; PCI: percutaneous coronary intervention; CABG: coronary artery bypass grafting. Results This study corroborates that by
Haukalla et al.,20 who reported that individuals with lower
anger control were at higher risk for the first incidence of
fatal and nonfatal cardiovascular disease than those who
scored higher. Results Table 2 – Relationship between coronary artery disease and baseline characteristics Table 3 – Patients’ clinical characteristics, medical history and STAXI scales according to anger control in a 48-month follow-up
Characteristics
Control of anger below average
n = 89
Control of anger above average
n = 156
Total: 245 p *
Age (years), mean ± SD
58.1 ± 8.9
62.2 ± 10.9
0.001
White, n (%)
71 (79.8)
128 (83.1)
0.52
Married, n (%)
48 (53.9)
79 (50.6)
0.62
Schooling, years
6.1 ± 4.9
6.1 ± 4.9
0.97
Current job, n (%)
20 (22.5)
31 (19.9)
0.63
Living alone, n (%)
20.2 (18)
38 (24.4)
0.46
Risk factors
Hypertension, n (%)
73 (82.0)
140 (89.7)
0.09
DM, n (%)
33 (37.1)
45 (28.8)
0.18
Dyslipidemia, n (%)
49 (55.1)
92 (59.0)
0.55
Smoking, n (%)
15 (16.9)
34 (21.8)
0.35
Family history of CAD, n (%)
48 (53.9)
46 (29.5)
< 0.001
Depression, n (%)
35 (39.3)
55 (35.3)
0.53
BMI (kg/m2), mean ± SD
28.4 ± 5.4
27.9 ± 5.9
0.55
Previous medical history
Previous AMI, n (%)
22 (24.7)
34 (21.8)
0.60
Previous PCI, n (%)
8 (9.0)
22 (14.1)
0.24
Previous CABG, n (%)
1 (1.1)
8 (5.1)
0.11
STAXI subscales
Trait of anger (points), mean ± SD
23.67 ± 8.25
18.52 ± 7.53
< 0.001
Angry temperament (points), mean ± SD
10.20 ± 4.05
7.51 ± 3.74
< 0.001
Angry reaction (points), mean ± SD
9.19 ± 4.04
7.81 ± 3.70
0.007
Anger expression-In (points), mean ± SD
16.85 ± 5.08
16.06 ± 4.65
0.22
Anger expression-Out (points), mean ± SD
15.07 ± 4.97
11.81 ± 3.31
< 0.001
Control of anger (points), mean ± SD
22.19 ± 3.66
29.67 ± 1.72
< 0.001
Anger expression (points), mean ± SD
25.73 ± 9.79
14.21 ± 6.74
<0.001
p* - p ≤ 0.05, Student t test or chi-square test; DM: diabetes mellitus; CAD: coronary artery disease; BMI: body mass index; AMI: acute myocardial infarction;
PCI: percutaneous coronary intervention; CABG: coronary artery bypass grafting. atients’ clinical characteristics, medical history and STAXI scales according to anger control in a 48-month follow-up dent t test or chi-square test; DM: diabetes mellitus; CAD: coronary artery disease; BMI: body mass index; AMI: acute myocardial infarction;
s coronary intervention; CABG: coronary artery bypass grafting. poor control of anger had a positive family history for
CAD and were younger. Arq Bras Cardiol. 2018; 111(3):410-416 Discussion The present study identified that poor control of anger
associated with CAD angiographically detected. This study
found a higher percentage of married patients in the group
without CAD, indicating the importance of social support
in treatment adhesion and healthcare.19 Women with Arq Bras Cardiol. 2018; 111(3):410-416 413 Original Article
Schmidt et al
Anger and coronary artery disease in women
Figure 1 – Survival curve for major cardiovascular events in up to 48 months of follow-up of women with anger control below and above average. 1.0
0.9
0.8
0.7
0.6
0.5
5.00
10.00
15.00
20.00
25.00
35.00
40.00
50.00
45.00
30.00
CumSurvival
p = 0.62
anger control: average
< 27
≥ 27
Time until 1st end-point
The survival curves separate between 5 and 20 months of follow-up and approximate after
30 months of follow-up. showing that patients whose anger control was below average had
survival around 60%. while those whose anger control was above average had survival
around 65%. (p = 0.62)
Survival curve according to anger control
Table 4 – Association between control of anger and baseline characteristics
Characteristics
Beta Coefficient
95% CI for Beta Coefficient
p*
Age
0.15
0.002 - 0.013
0.01
Family history of CAD
0.22
0.100 - 0.340
< 0.001
Diabetes mellitus
0.007
- 0.039 - 0.170
0.21
Previous CABG
- 0.06
- 0.480 - 0.140
0.27
p * - p ≤ 0.05, Wald test; CI: confidence interval; CAD: coronary artery disease; CABG: coronary artery bypass grafting. Original Article
Table 4 – Association between control of anger and baseline characteristics
Characteristics
Beta Coefficient
95% CI for Beta Coefficient
p*
Age
0.15
0.002 - 0.013
0.01
Family history of CAD
0.22
0.100 - 0.340
< 0.001
Diabetes mellitus
0.007
- 0.039 - 0.170
0.21
Previous CABG
- 0.06
- 0.480 - 0.140
0.27
p * - p ≤ 0.05, Wald test; CI: confidence interval; CAD: coronary artery disease; CABG: coronary artery bypass grafting. Table 4 – Association between control of anger and baseline characteristics
Characteristics
Beta Coefficient
95% CI for Beta Coefficient
p*
Age
0.15
0.002 - 0.013
0.01
Family history of CAD
0.22
0.100 - 0.340
< 0.001
Diabetes mellitus
0.007
- 0.039 - 0.170
0.21
Previous CABG
- 0.06
- 0.480 - 0.140
0.27
p * - p ≤ 0.05, Wald test; CI: confidence interval; CAD: coronary artery disease; CABG: coronary artery bypass grafting. Discussion Table 4 – Association between control of anger and baseline characteristics Figure 1 – Survival curve for major cardiovascular events in up to 48 months of follow-up of women with anger control below and above average. 1.0
0.9
0.8
0.7
0.6
0.5
5.00
10.00
15.00
20.00
25.00
35.00
40.00
50.00
45.00
30.00
CumSurvival
p = 0.62
anger control: average
< 27
≥ 27
Time until 1st end-point
The survival curves separate between 5 and 20 months of follow-up and approximate after
30 months of follow-up. showing that patients whose anger control was below average had
survival around 60%. while those whose anger control was above average had survival
around 65%. (p = 0.62)
Survival curve according to anger control 1.0
0.9
0.8
0.7
0.6
0.5
5.00
10.00
15.00
20.00
25.00
35.00
40.00
50.00
45.00
30.00
CumSurvival
p = 0.62
anger control: average
< 27
≥ 27
Time until 1st end-point
Survival curve according to anger control The survival curves separate between 5 and 20 months of follow-up and approximate after
30 months of follow-up. showing that patients whose anger control was below average had
survival around 60%. while those whose anger control was above average had survival
around 65%. (p = 0.62) Figure 1 – Survival curve for major cardiovascular events in up to 48 months of follow-up of women with anger control below and above average. run, similar to that observed in men. However, complications
related to PCI and the mortality rates of women are three
times higher as compared to those of men.24 Haukalla et al.20
have reported that low anger control in a 10- to 15-year
clinical follow-up predicted ischemic myocardial disease in
women, even after adjusting for sociodemographic variables,
other cardiovascular risk factors and symptoms of depression. In the late clinical follow-up of this study, low control of anger
was not associated with the occurrence of combined MCVE,
myocardial revascularization included. In this sample, the women with low anger control were
younger. Arq Bras Cardiol. 2018; 111(3):410-416 Discussion That characteristic can be interpreted in the sense
that, as age advances, social relations are modulated through
emotional regulation, which means that, as time advances
and with aging, more appropriate forms of social behavior
are learned, with more control over emotions and reactions.21
According to Cartensen’s socioemotional selectivity theory, as
age advances, people become increasingly selective, tending
to place a high value on positive contents and to avoid negative
emotional states, because of adaptation and life changes
experienced in social contexts.22,23 The literature available shows that anger is associated
with several behavioral risk factors, such as tobacco use and
inadequate dietary intake (hypercaloric and high sodium diets),
and, in the long run, out of other cardiovascular risk factors,
anger can cause LDL elevation, hypertension, diabetes mellitus,
and obesity.13,25 In a study, Pérez-García et al.26 have reported According to Shirato et al.,24 gender differences are
evident in the success rates of the interventions to improve
coronary circulation (myocardial revascularization). After a well‑succeeded procedure, women submitted to
coronary angioplasty had an excellent prognosis in the long Arq Bras Cardiol. 2018; 111(3):410-416 414 Schmidt et al
Anger and coronary artery disease in women Schmidt et al
Anger and coronary artery disease in women Original Article that emotional discomfort and symptoms were positively
associated with higher inward expression of anger and lower
control of anger. In addition, they have found that preventive
practices were associated with lower supression and higher
control of anger, with better channeling and regulation of anger
feelings. The likelihood that patients with low anger control
also have low control over other risk behaviors or use them as
a comfort mechanism can be considered, because the effects
of well-being through neuroendocrine mechanisms of hormone
release, such as serotonin, producing well-being after energetic
ingestion, have been described, which would be applicable to
stress/anger situations.27 difference in the event-free time between patients with anger
control scores above average range and those with anger
control scores below it. Conclusions Women with CAD submitted to coronary angiography
showed a trend towards lower control of anger, which
was associated with age and the family history of CAD. The 48-month clinical follow-up showed no significant Author contributions Conception and design of the research: Moura MR,
Gottschall CAM, Schmidt MM; Acquisition of data:
Schmidt KES, Schmidt MM; Analysis and interpretation of the
data: Schmidt KES, Quadros AS, Moura MR, Gottschall CAM,
Schmidt MM; Statistical analysis: Schmidt MM; Writing of
the manuscript: Schmidt KES, Quadros AS, Schmidt MM;
Critical revision of the manuscript for intellectual content:
Quadros AS, Moura MR, Gottschall CAM. The compensation, cognitive and affective value attributed
to food overlaps the homeostatic control and the physiological
signs of hunger and satiety that control food ingestion and
body weight.27,28 However, if continuously evoked, that
process would cause CAD as a factor associated not only with
the feeling of anger, but with all the inappropriate coping
mechanism that could accompany anger. Study’s forces and limitations There were no external funding sources for this study. This study’s force resides on its female sample, because
women are usually under-represented in clinical trials. This is a
segment of the real world, with few losses during a long follow‑up. The risk factors were assessed based on interviews with the
participants, and there might have been bias of information. Assessing anger and its control, even with a tool developed for
that purpose, is a hard task, considering that personality traits can
be combined. Research in this area is a challenge. Potential Conflict of Interest No potential conflict of interest relevant to this article
was reported. Ethics approval and consent to participate This study was approved by the Ethics Committee of
the Instituto de Cardiologia / Fundação Universitária de
Cardiologia under the protocol number 466/12. All the
procedures in this study were in accordance with the 1975
Helsinki Declaration, updated in 2013. Informed consent was
obtained from all participants included in the study. Study Association This article is part of the thesis of Doctoral submitted
by Márcia Moura Schmidt, from Instituto de Cardiologia /
Fundação Universitária de Cardiologia. Original Article 11. Claassen M, Sybrandy KC, Appelman YE, Asselbergs FW. Gender gap in acute
coronary heart disease: myth or reality? World J Cardiol. 2012; 4(2):36–47. discontinuation of thienopyridine after coronary stent implantation. Am J
Cardiol. 2011;107(5):685-9. discontinuation of thienopyridine after coronary stent implantation. Am J
Cardiol. 2011;107(5):685-9. 20. Haukkala A, Konttinen H, Latikainen T, Kawachi I, Utela A. Hostility, anger
control, and anger expression as predictors of cardiovascular disease. Psychosom Med. 2010;72(6):556–62. 12. Alam M, Bandeali SJ, Kayani WT, Ahmad W, Shahzad SA, Jneid H, et al. Comparison by meta-analysis of mortality after isolated coronary artery
bypass grafting in women versus men. Am J Cardiol. 2013;112(3):309-17. 21. Carstensen LL, Pasupathi M, Mayr U, Nesselroade JR. Emotional experience in
everyday life across the adult life span. J Pers Soc Psychol. 2000;79(4):644-55. 13. Williams JE, Couper DJ, Din-Dzietham R, Nieto FJ, Folsom AR. Race-gender
differences in the association of trait anger with subclinical carotid artery
atherosclerosis. Am J Epidemiol. 2007;165(11):1296-304. 22. Amado NM. Sucesso no envelhecimento e histórias de vida em idosos sócio-
culturalmente muito e pouco diferenciados.Success in aging and life stories
in elderly socio-culturally diferente; 2008. [Thesis] Lisboa: Universidade
Nova de Lisboa,Instituto Superior de Psicologia Aplicada. 14. Puterman E, Epel ES, O’Donovan A, Prather AA, Aschbacher K, Dhabhar FS. Anger is associated with increased IL-6 stress reactivity in women, but only
among those low in social support. Int J Behav Med. 2014; 21(6):936–45. 23. Otta E, Fiquer JT. Bem-estar subjetivo e regulação de emoções. (Subjective well-
being and emotional regulation). Psicologia em Revista, 2004;10(15):144-9. 15. Markovitz JH. Hostility is associated with increased platelet activation in
coronary heart disease. Psychosom Med. 1998;60(5):586-91. 24. Shirato S, Swan BA. Women and cardiovascular disease: an evidentiary
review. MEDSURG Nursing. 2010;19(5):282-6. 16. Schmidt MM, Lopes RD, Newby LK, Moura MR, Stochero L, Gottschall
CM, et al. Anger control and cardiovascular outcomes. Int J Cardiol. 2013;168(4):4338-9. 25. Glaser R, Herrmann HC, Murphy SA, Demopoulos LA, Di Battiste PM,
Cannon CP, et al. Benefit of an early invasive management strategy in women
with acute coronary syndromes. JAMA. 2002;288(24):3124-9. 17. Spielberger CD, Lushene RE, Gorsuch R, Jacobs GA. Manual for the state-
trait anger inventory. STAXI.( translation Biaggio A, and brazilian validation
of Spielberger CD). São Paulo: Vetor; 2003. 26. Pérez-García AM, Sanjuán P, Rueda B, Ruiz MA. Salud cardiovascular en la
mujer: el papel de la ira y su expresión. Psicothema. 2011;23(4):593-8. 18. References 2018; 111(3):410-416 Schmidt et al
Anger and coronary artery disease in women Schmidt et al
Anger and coronary artery disease in women Original Article References 1. Fernandes CE, Pinto Neto JS, Gebara OCE, Santos Filho RD, Pinto Neto AM,
Pereira Filho AS, et al. First brazilian guidelines on cardiovascular disease
prevention in climacteric women and influence of hormone replacement
therapy from Brazilian Cardiology Society and Brazilian Climacteric
Association (SOBRAC). Arq Bras Cardiol. 2008;91(1 Suppl 1):1-23. 6. Gupta A, Wang Y, Spertus JA, Geda M, Lorenze N, Nkonde-Price C, et al. Trends in acute myocardial infarction in young patients and differences by
sex and race, 2001 to 2010. J Am Coll Cardiol. 2014; 64(4):337–45. 1. Fernandes CE, Pinto Neto JS, Gebara OCE, Santos Filho RD, Pinto Neto AM,
Pereira Filho AS, et al. First brazilian guidelines on cardiovascular disease
prevention in climacteric women and influence of hormone replacement
therapy from Brazilian Cardiology Society and Brazilian Climacteric
Association (SOBRAC). Arq Bras Cardiol. 2008;91(1 Suppl 1):1-23. 7. Zhang Z, Fang J, Gillespie C, Wang G, Hong Y, Yoon PW. Age-specific gender
differences in in-hospital mortality by type of acute myocardial infarction. Am J Cardiol. 2012;109(8):1097–103. 2. Shivpuri S, Gallo LC, Mills PJ, Matthews KA, Elder JP, Talavera GA. Trait anger,
cynical hostility and inflammation in Latinas: variations by anger type? Brain
Behav Immun. 2011; 25(6):1256–63. 8. Canto JG, Rogers WJ, Goldberg RJ, Peterson ED, Wenger NK, Vaccarino
V, et al. Association of age and sex with myocardial infarction symptom
presentation and in-hospital mortality. JAMA. 2012;307(8):813–22. 3. Mehta LS, Beckie TM, DeVon HA, Grines CL, Krumholz HM, Johnson MN, et
al. Acute myocardial infarction in women. Circulation. 2016; 133(9):916-47. 3. Mehta LS, Beckie TM, DeVon HA, Grines CL, Krumholz HM, Johnson MN, et
al. Acute myocardial infarction in women. Circulation. 2016; 133(9):916-47. 9. Egiziano G, Akhtari S, Pilote L, Daskalopoulou SS, GENESIS (GENdEr
and Sex Determinants of Cardiovascular Disease), Investigators. Sex
differences in young patients with acute myocardial infarction. Diabet Med. 2013;30(3):e108-14. 4. Chida Y, Steptoe A. The association of anger and hostility with future
coronary heart disease: a meta-analytic review of prospective evidence. J
Am Coll Cardiol. 2009; 53(11):936–46. 10. Champney KP, Frederick PD, Bueno H, Parashar S, Foody J, Merz CN, et al. The joint contribution of sex, age and type of myocardial infarction on hospital
mortality following acute myocardial infarction. Heart. 2009; 95(11):895–9. 5. Mansur ADP, Favarato D. Tendências da taxa de mortalidade por
doenças cardiovasculares no Brasil, 1980-2012. Arq Bras Cardiol. 2016;107(1):20-5. 415 Arq Bras Cardiol. Original Article Wong JM, Na B, Regan MC, Whooley MA. Hostility, health behaviors, and risk
of recurrent events in patients with stable coronary heart disease: Findings
From the Heart and Soul Study. J Am Heart Assoc. 2013;2(5):e000052. 27. Landeiro FM, Quarantini LC. Obesity: neuro-hormonal controlof food
intake. R Ci Med Biol. Salvador. 2011;10(3)236-45. 19. Quadros AS, Welter DI, Camozzatto FO, Chaves Á, Mehta
RH, Gottschall CA, et al. Identifying patients at risk for premature 28. Tataranni PA, Del Parigi A. Functional neuroimaging: a new generation of
human brain studies in obesity research. Obes Rev. 2003;4(4):229-38. This is an open-access article distributed under the terms of the Creative Commons Attribution License This is an open-access article distributed under the terms of the Creative Commons Attribution License Arq Bras Cardiol. 2018; 111(3):410-416
|
W4311117174.txt
|
https://agdevresearch.org/index.php/aad/article/download/261/165
|
en
|
Best practices for mentoring: An exploratory study of cooperating teacher and student teacher perspectives
|
Advancements in agricultural development
| 2,022
|
cc-by
| 4,697
|
Nesbitt et al.
Advancements in Agricultural Development
Volume 3, Issue 4, 2022
agdevresearch.org
Best Practices for Mentoring: An Exploratory Study of
Cooperating Teacher and Student Teacher Perspectives
H. R. Nesbitt1, D. M. Barry2, K. M. Lawson3, J. M. Diaz4
Abstract
With nearly one-half of U.S. teachers leaving the profession within the first five years of their career,
focusing on retention is an ongoing effort. Providing quality mentorship during the student teaching
internship provides further support to new teachers preparing to enter the classroom. Cooperating
teachers play a pivotal role in the success of these student teachers. However, little is known about
the mentoring process between the cooperating teachers and their student teachers. This study
compares the perspectives of the cooperating teacher and their student teacher on the frequency of
17 best practices employed by the cooperating teacher during the student teaching experience. The
results suggest cooperating teachers rate themselves as utilizing 16 of the 17 best practices of a
cooperating teacher more frequently than their paired student teacher observed. In addition, the
student teachers rated their observed frequency for five of the 17 best practices employed by their
mentor teacher between rarely and often, implying potential weaknesses in the preparation of the
cooperating teacher. Differences between the perceived practices of the cooperating teachers and
the observed frequencies of these practices by their student teachers warrants further research in
the preparation and support of cooperating teachers in their roles as mentors.
Keywords
Agricultural education, internship, mentorship, retention, teaching
1.
Heather R. Nesbitt, Graduate Assistant, University of Florida, 310 Rolfs Hall, PO Box 110540, Gainesville, FL 32611,
2.
heather.nesbitt@ufl.edu,
https://orcid.org/0000-0001-5339-8516
Debra M. Barry, Assistant Professor, University of Florida, 1200 N Park Rd, Plant City, FL 33563, dmbarry@ufl.edu,
3.
https://orcid.org/0000-0001-9579-3872
Kati M. Lawson, Lecturer, University of Florida, 1200 N Park Rd, Plant City, FL 33563, katilawson@ufl.edu,
4.
https://orcid.org/0000-0001-6271-8120
John M. Diaz, Associate Professor, University of Florida, 1200 N Park Rd, Plant City, FL 33563, john.diaz@ufl.edu,
https://orcid.org/0000-0002-2787-8759
30
Nesbitt et al.
Advancements in Agricultural Development
Introduction and Problem Statement
Attempts at teacher retention occurs through a variety of efforts and programs and is often
focused on the first years of teaching because 44% of teachers leave the profession within the
first five years of starting their teaching careers (Ingersoll et al., 2018). Increasing self-efficacy
during the student teaching experience has been linked to a higher intention to teach, with
previous research indicating the importance of an effective cooperating teacher (CT)
relationship as a major component (Edgar et al., 2011; Kasperbauer & Roberts, 2007; Roberts,
2006; Rocca, 2005). Higher teacher self-efficacy can help to lower teacher burnout and increase
retention (Swan et al., 2011). Roberts (2006) developed a model for CT effectiveness; however,
confusion from cooperating teachers as to their exact role during the internship experience
remains (Dunning et al., 2011; Ganser, 2002). To support the relationship of the CT and student
teacher (ST), and provide guidance on how to utilize observation, feedback, and appropriate
mentorship, CTs need be prepared and supported for their role (Young & MacPhail, 2005).
To support the mentor-mentee relationship of the CT and their ST, Korte and Simonsen (2018)
indicated the need to implement best practices of mentoring. Formalized mentoring should be
structured during pre-service teacher experiences to support growth and development, as well
as teacher self-efficacy (Korte & Simonsen, 2018). Previous research indicated that CTs tend to
shy away from critical feedback and teaching observations overall (Zimpher et al., 1980).
However, when CTs have been given guidance and training for their role, they are more likely to
provide quality feedback to student teachers (McIntyre & Killian, 1987).
Theoretical and Conceptual Framework
The theoretical foundation for this study was rooted in constructivism, where assumptions are
made that learners construct their own knowledge through experiences in a variety of social
environments (Vijaya Kumari, 2014; Vygotsky, 1978). Constructivism posits that students who
are learning a new skill are more likely to be successful if they are taught by someone advanced
or experienced in that area. This is further realized by the description of instructional
scaffolding, where the construction of new ideas can be strengthened and formed with a firmer
foundation (Oyster & Bobbit, 2020; Seifert & Sutton, 2009).
Higher education institutions are often criticized in this area as they typically elicit only a few
means for evaluating student perspectives and outcomes within the broader purposes of the
institution (Burke, 2005). Assessments will often extend beyond measuring knowledge
acquisition to include behavioral evaluations, assessing the frequency for which students and
teachers are carrying out certain practices. For example, it is common for assessments to ask
students and teachers to report current or past participation, frequency, or duration in certain
activities (Gonyea, 2005).
According to Astin (1993), the main advantage and potential rationale for using self-reported
data for evaluative purposes in educational context is feasibility. Astin (1993) claimed that selfhttps://doi.org/10.37433/aad.v3i4.261
31
Nesbitt et al.
Advancements in Agricultural Development
report questionnaires, while exhibiting lower fidelity, have a greater bandwidth to collect data.
Many times, self-reported data from survey/questionnaires are often the only practical source
of certain types of information because they are quicker and more economical to implement
than objective testing or observational studies. One must consider that many desired outcomes
are difficult to measure empirically, and in cases where measures are available, they are often
costly and impractical (Gonyea, 2005).
An issue that threatens the credibility of self-reported data is social desirability bias (SDB). SDB
has the potential to present a challenge in conducting this line of research, including
cooperating teacher assessments in the context of higher education (Chichekian & Shore,
2016). SDB is the desire of respondents to edit their responses before communicating such to
researchers to present themselves in a more positive light (Beretvas et al., 2002). Respondents
may feel a need to present themselves favorably to the interviewers or researchers to preserve
their self-esteem (King & Bruner, 2000). SDB can compromise evaluations in one of two ways:
(a) overreporting of socially desirable behavior (such as performing teaching best practices) and
underreporting of socially undesirable behavior (e.g., extensive absence), and (b) attenuation,
inflation, or moderation of relationships between variables (King & Bruner, 2000). This causes
discrepancies in student and teacher responses and the researchers’ ability to generalize
results.
The development of effective mentoring programs and models can help to strengthen preservice teacher skills and assist in a successful start to a career in teaching (He, 2010). The areas
of mentorship explored in this study support major tenets of successful mentorship
characteristics and build on the work of previous research that has identified areas of focus for
CT effectiveness (He, 2010). Roberts’ (2006) model of cooperating teacher effectiveness
focused on the areas of teaching/instruction, professionalism, ST/CT relationship, and personal
characteristics. The area of ST/CT relationship from Roberts’ 2006 study and findings from
Stewart et al. (2017) make a case for mentoring and its imperative role in the development of
student teachers. Further advancement of the nuanced understanding of the participation of
CTs has the potential to help researchers better facilitate the significant role of the CT and the
development of the next generation of school-based agricultural educators (Clarke et al., 2014).
Purpose
The purpose of this study was to compare the frequency of best practices for mentoring as selfreported by CTs with the perspectives of their paired STs. Three objectives guided this study:
1. Determine the frequency of use of best practices for mentoring behaviors from the
perspective of CTs.
2. Determine the frequency of use of best practices for mentoring behaviors from the
perspective of STs.
3. Compare the perspectives of CTs and STs for the frequency of best practice mentoring
behaviors.
https://doi.org/10.37433/aad.v3i4.261
32
Nesbitt et al.
Advancements in Agricultural Development
Methods
This exploratory study compared the frequency of best practices for mentoring behaviors of CTs
and the perspective of these behaviors from the viewpoint of their STs. This study utilized
survey research methods. The data collected were part of a larger research project that
explored CT needs for professional support and the use of best practices for mentoring. The
University of Florida Department of Agricultural Education and Communication instituted a CT
and ST workshop aimed at developing skillsets and increasing the understanding of
expectations for both STs and the CTs.
The population for this study included the University of Florida Department of Agricultural
Education and Communication’s CTs who served in their role during the spring semester of
2021 (N = 7), as well as the University of Florida’s] STs who were under their supervision for
that term (N = 7). Data were collected following the conclusion of the 14-week student teaching
internship. The survey questionnaires were delivered using Qualtrics software. All participants
were assigned a study identification number to complete paired analysis of the STs and CTs
responses. Analysis of data was conducted using Statistical Package for Social Sciences (SPSS)
version 26. Of the seven CTs, six responded to the survey; all seven STs responded to the
survey. Because of the nature of this comparative study, the data for the unmatched ST were
not analyzed.
The questionnaire listed 17 best practices for mentoring behaviors in the areas of professional
support, social support, and role modeling (Table 2). The 17 best practices for cooperating
teachers used in this study were derived from the work of Alemdağ and Şimşek (2017) and their
focus on practicum experiences of pre-service teachers, as well as Russell and Russell (2011)
and the implications for more formal mentoring programs. To ensure content validity, the
behaviors were vetted by three agricultural education faculty at the University of Florida. The
construct used in this study was piloted in 2019 with 15 CTs who had served in that role during
the spring 2019 semester. The construct measured the frequency of use of best practices for
mentoring and had a Cronbach’s alpha of α =. 82. For the 2021 cohort, this same construct had
a Cronbach’s alpha of α = .72 for the CT instrument and α =.94 for the ST instrument. The
respondents were asked to rate the frequency of use of the behavior utilizing a frequency scale
with response options of (1) always, (2) often, (3) sometimes, (4) rarely, and (5) never. The only
variation in the instruments for the CTs and STs was the use of first-person pronouns for CTs.
Cooperating teachers self-reported on frequency of use of best practices for mentoring
behaviors that they implemented, while STs reported on their observation of best practices
mentoring behaviors of their CTs.
Researchers analyzed the overall mean scores for CTs and STs for each of the 17 mentoring
behaviors. A paired samples t-test was used to analyze the set of matched pairs of data. Using
histograms as suggested by Lomax and Hahs-Vaughn (2012), all dependent variables were
distributed normally prior to analysis. The matched samples consisted of the student teacher
https://doi.org/10.37433/aad.v3i4.261
33
Nesbitt et al.
Advancements in Agricultural Development
and the cooperating teacher, who worked together collaboratively during a 14-week student
teaching spring 2021 internship.
Findings
Objective 1
Of the seven CT’s surveyed, six responded. Participants had an average rating of 1.52 (SD = .67).
This shows that cooperating teachers perceived that they exhibited best practices for
mentoring an average between often and always (see Table 1). Of the 17 best practices for
mentoring behaviors, cooperating teachers rated themselves significantly lower for two
behaviors, i.e., the use of observational data as the basis for feedback sessions (M = 2.17, SD =
.75) and encouragement of the student teachers to maintain active memberships in Florida
Association of Agricultural Educators (FAAE), National Association of Agricultural Educators
(NAAE), and Florida Association for Career and Technical Education (FACTE) (M = 2.83, SD =
1.17) (see Table 2). It is important to note that the standard deviation for encouragement of the
student teachers to maintain active memberships in FAAE, NAAE, and FACTE was larger than
1.0, which reflects a broader range of responses from participants.
Table 1
Cooperating Teacher and Student Teacher Frequency of Best Practices for Mentoring Behaviors.
Respondents
n
M
SD
Cooperating Teachers
6
1.52
.67
Student Teachers
6
1.79
.80
Note. The ratings on the scale were (1) always, (2) often, (3) sometimes, (4) rarely, and (5)
never.
https://doi.org/10.37433/aad.v3i4.261
34
Nesbitt et al.
Advancements in Agricultural Development
Table 2
Cooperating Teacher’s Frequency Scores for Perceived Demonstration of Best Practices for
Mentoring Behaviors.
Behavior
n
M
SD
Encouraged the student teacher to maintain active memberships in
6 2.83
1.17
FAAE, NAAE, and FACTE
Used observational data as the basis for feedback sessions
6 2.17
.75
Communicated openly with my student teacher/intern
6 1.67
.82
Involved my student teacher in all of my roles as a teacher
6 1.67
.52
Discussed strategies for effectively managing time,
6 1.67
.82
priorities/projects, and email
Provided weekly comprehensive feedback on performance in an
6 1.50
.55
uninterrupted setting
Encouraged the student teacher to take the lead in evaluating their
6 1.50
.84
teaching
Made an effort to introduce my student teacher to the school
6 1.50
.55
community
Discussed effective student discipline strategies with my student
6 1.50
.55
teacher for maintaining a productive learning environment
Shared approaches for effectively managing the administrative
aspects of teaching, including building effective relationships
6 1.50
.55
with administrators and other teachers
Communicated regularly with my student teacher/intern
6 1.33
.52
Supported my student teacher’s effort by staying attuned to their
6 1.33
.52
mindset, attitude, and well-being
Talked to my student teacher about how to become an excellent
6 1.33
.82
teacher through all phases of their career
Made an effort to help my student teacher develop positive views
6 1.17
.41
of teaching
Coached my student teacher on strategies for developing a positive
6 1.17
.41
rapport with students
Shared my approaches for SAE program development and
6 1.00
0
supervision
Shared my philosophy for FFA advising
6 1.00
0
Note. The ratings on the scale were (1) always, (2) often, (3) sometimes, (4) rarely, and (5)
never.
Objective 2
All seven student teachers responded to the survey, but for the purposes of this study and
alignment of responses for the paired t analysis, one student teacher was removed from the
data set. Respondents had an average rating of 1.79 (SD = .80) for their observation of
mentoring best practices. Overall, the frequency observed by student teachers was closest to
often (see Table 1). When reviewing individual best practices, there were five that had a mean
https://doi.org/10.37433/aad.v3i4.261
35
Nesbitt et al.
Advancements in Agricultural Development
score between 2.00-4.00 (see Table 3), indicating a frequency between rarely and often. The
following behaviors were included in that range of 2-4: shared approaches for SAE program
development and supervision; shared philosophy for FFA advising; shared approaches for
effectively managing the administrative aspects of teaching, including building effective
relationships with administrators and other teachers; encouraged the student teacher to
maintain active memberships in FAAE, NAAE, and FACTE; and discussed strategies for
effectively managing time, priorities/projects, and email. Three CT behaviors had standard
deviations larger than 1.0, indicating a broader range of participant responses: encouragement
to maintain active memberships in FAAE, NAAE, and FACTE, sharing approaches for SAE
program development, and sharing philosophies for FFA advising.
Table 3
Student Teachers’ Frequency Scores for Observed Best Practices of Mentoring Behaviors
Demonstrated by their Cooperating Teachers.
Behaviors
n
M
SD
Encouraged to maintain active memberships in FAAE, NAAE, and FACTE
6 3.83 1.48
Shared their approaches for SAE program development and supervision
6 2.00 1.10
Shared their philosophy for FFA advising
6 2.00 1.27
Shared their approaches for effectively managing the administrative
aspects of teaching, including building effective relationships with
6 2.00 .89
administrators and other teachers.
Shared strategies for effectively managing time, priorities/projects, and
6 2.00 .63
email.
Involved me in all of my roles as a teacher
6 1.83 .75
Talked to me about how to become an excellent teacher through all
6 1.83 .98
phases of their career
Discussed effective student discipline strategies with me for maintaining a
6 1.83 .75
productive learning environment
Was attuned to my mindset, attitude, and well-being
6 1.67 .41
Encouraged to take the lead in evaluating my own teaching
6 1.67 .41
Made an effort to introduce me to the school community
6 1.67 .82
Coached me on strategies for developing a positive rapport with students
6 1.67 1.21
Communicated regularly with me
6 1.50 .55
Provided weekly comprehensive feedback on performance in an
6 1.50 .55
uninterrupted setting
Made an effort to help me develop positive views of teaching
6 1.50 .55
Communicated openly with me
6 1.33 .52
Used observational data as the basis for feedback sessions
6 1.33 .52
Note. The ratings on the scale were (1) always, (2) often, (3) sometimes, (4) rarely, and (5)
never.
https://doi.org/10.37433/aad.v3i4.261
36
Nesbitt et al.
Advancements in Agricultural Development
Objective 3
When comparing the perspectives of the cooperating teachers and student teachers, the
cooperating teachers had an overall slightly higher frequency for their self-reporting of best
practice mentoring behaviors (M = 1.52, SD = .67) than the student teachers who would have
received the mentoring and observed these behaviors (M = 1.79, SD = .80) (see Table 1). Only
one instance occurred of an overlap in lower frequency behaviors from both groups, indicating
agreement that the behavior was not implemented at a high frequency. The behavior at an
equally low frequency included the encouragement of the student teacher to maintain active
memberships in FAAE, NAAE, and FACTE (see Table 2 & 3).
A paired samples t-test was conducted to determine if a difference existed in the mean scores
of the cooperating teachers’ frequencies and the mean scores of the paired student teachers.
Descriptive statistics in Tables 4 and 5 show missing data for Pair 4. This was due to the same
reported responses by cooperating teacher and student teacher for both the self-reported and
observed best practices mentoring behaviors. The t-test was run to determine if a significant
difference existed within pairs (see Table 6). One paired sample was removed from the data set
because of matching responses. The results indicated that the reported frequency for best
practice mentoring behaviors were statistically significantly different for Pair 3 (t = -2.135, df =
16, p = .049), and Pair 5 (t = -3.246, df = 16, p = .005). Effect size was calculated as d = .37. Using
Cohen’s (1988) guidelines, this is a small effect size.
Table 4
Paired Samples Statistics for Cooperating Teachers’ and Student Teachers’ Frequency of Best
Practices for Mentoring Behaviors.
M
n
SD
SE
Pair 1 CT1
1.41
17
.51
.12
ST1
1.88
17
.99
.24
Pair 2 CT2
1.77
17
.66
.16
ST2
1.70
17
.99
.24
Pair 3 CT3
1.24
17
.56
.14
ST3
1.65
17
.86
.21
Pair 4 CT4
1.41
17
.51
.12
ST4
1.00
17
.00
.00
Pair 5 CT5
1.35
17
.61
.15
ST5
2.41
17
1.23
.30
Pair 6 CT6
1.94
17
1.14
.20
ST6
2.00
17
.75
.18
Note. CT = Cooperating Teacher; ST = Student Teacher
https://doi.org/10.37433/aad.v3i4.261
37
Nesbitt et al.
Advancements in Agricultural Development
Table 5
Paired Samples Correlations for Cooperating Teachers’ and Student Teachers’ Frequency of
Best Practice Mentoring Behaviors
n
Correlation
P
Pair 1
CT1 & ST1
17
.23
.38
Pair 2
CT2 & ST2
17
.56
.02
Pair 3
CT3 & ST3
17
.44
.08
Pair 4
CT4 & ST4
17
.
.
Pair 5
CT5 & ST5
17
.04
.87
Pair 6
CT6 & ST6
17
.44
.08
Note. CT = Cooperating Teacher; ST = Student Teacher
Table 6
Paired Samples t-Test for Cooperating Teachers’ & Student Teachers’ Frequency of Best Practice
Mentoring Behaviors
Paired Differences
Sig. (295% Confidence Interval
t
df
tailed)
M
SD
SE
Lower
Upper
CT1
Pair 1
-.47
1.00
.24
.99
.05
-1.93 16
.07
ST1
CT2
Pair 2
.06
.83
.20
-.37
.48
.29 16
.77
ST2
CT3
Pair 3
-.41
.80
.19
-.82
.00
-2.13 16
.05
ST3
CT5
Pair 5
-1.06
1.34
.33
-1.75
-.37
-3.25 16
.01
ST5
CT6
Pair 6
-.12
1.05
.26
-.66
.42
-.46 16
.65
ST6
Note. CT = Cooperating Teacher; ST = Student Teacher.
Conclusions, Discussion, and Recommendations
This study begins to provide a better understanding into the mentor-mentee relationship
between the cooperating teachers and student teachers. First, the cooperating teachers felt
successful in their implementation of the behaviors after receiving training prior to the mentor
experience as supported by the constructivist foundation of the study (Vijaya Kumari, 2014;
Vygotsky, 1978). However, the cooperating teachers’ self-reported data could potentially be
explained by their desirability to look successful when completing the survey questionnaire
(i.e., SDB) (Beretvas et al., 2002). Based on literature about self-reported data, regarding the
mentoring they received, student teachers’ perceptions may provide a more accurate
representation of what has occurred (Beretvas et al., 2002; Goneya, 2005).
https://doi.org/10.37433/aad.v3i4.261
38
Nesbitt et al.
Advancements in Agricultural Development
Our recommendation for cooperating teachers is to self-assess their use of the 17 best practice
behaviors before, during, and after each experience with a student teacher. Cooperating
teachers should ideally incorporate best practices at a high frequency when mentoring student
teachers, striving to make the time for formal observations, as well as regular feedback and
reflection time with their mentees. We recommend that the university faculty who partner with
cooperating teachers take the time to assess potential gaps in the knowledge and
understanding of best practices for mentoring student teachers. Once identified, these gaps
could help provide teacher educators with guidance on how to adjust professional
development to meet the needs for the preparation and support of cooperating teachers.
We recommend that similar studies be conducted with a larger sample size and recognize the
findings from this study are not generalizable due to the small sample size and lack of random
selection of participants. The needs of the cooperating teachers may vary according to current
practices being implemented as well as the experiences of the cooperating teachers. It would
be helpful to partner with other institutions to implement similar professional development
and support measures to gain a richer perspective. In addition to collecting survey data, we
recommend the use of observational data to gain a more robust view of the mentoring
experience from both perspectives. Exploring the perspectives of cooperating teachers through
interviews would help researchers obtain additional insight into how teachers implement
mentorship best practices. Gaining a deeper understanding on ways that cooperating teachers
are actively mentoring student teachers could help researchers clarify best practices for future
cooperating teachers.
We are currently conducting interviews to better grasp how cooperating teachers specifically
implement best practices for mentoring student teachers during the internship experience.
Additional research should be conducted to explore additional ways to support the
implementation of best practices that are being utilized less in the student teaching experience.
Furthermore, research regarding the differences between cooperating teachers’ and student
teachers’ perceptions is needed to better understand why student teachers observed less
practices than the cooperating teachers perceived they used. This type of research could also
provide insight on potential needs to modify current mentoring models in teacher education.
Young & MacPhail (2005) stressed the importance of preparation and support of cooperating
teachers, and results from this exploratory study may provide some guidance for teacher
educators toward their needs regarding student teacher mentorship.
Acknowledgements
We would like to thank the Florida cooperating teachers and student teachers who participated
in our study. Author Contributions: H. Nesbitt - analysis, writing-review & editing; D. Barry investigation, analysis, writing-original draft, review & editing; K. Lawson - writing-review and
editing; J. Diaz - writing-original draft.
https://doi.org/10.37433/aad.v3i4.261
39
Nesbitt et al.
Advancements in Agricultural Development
References
Alemdağ, E., & Şimşek, P. Ö. (2017). Pre-service teacher’s evaluation of their mentor teachers,
school experiences, and theory-practice relationship. International Journal of
Progressive Education, 13(2), 165–179. https://ijpe.inased.org/makale_indir/244
Astin, A. W. (1993). What matters in college? Four critical years revisited. Jossey-Bass
Beretvas, S. N., Meyers, J. L., & Leite, W. L. (2002). A reliability generalization study of the
Marlowe-Crowne social desirability scale. Educational and Psychological Measurement,
62(4), 570-589. https://doi.org/10.1177/001316402128775021
Burke, P. J. (2005) The sociology of education and work. The British Journal of Sociology, 56(3),
501-502. https://doi.org/10.1111/j.1468-4446.2005.00080_3.x
Chichekian, T., & Shore, B. M. (2016). Preservice and practicing teachers’ self-efficacy for
inquiry-based instruction. Cogent Education, 3(1), 1236872.
https://doi.org/10.1080/2331186X.2016.1236872
Clarke, A., Triggs, V., & Nielsen, W. (2014). Cooperating teacher participation in teacher
education: A review of the literature. Review of Educational Research, 84(2), 163-202.
https://doi.org/10.3102/0034654313499618
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Elsevier Inc.
Dunning, C., Meegan, S., Woods, C., & Belton, S. J. (2011) The impact of the COPET programme
on student PE teachers’ teaching practice experiences. European Physical Education
Review, 17(2), 153–165. https://doi.org/10.1177/1356336X11413182
Edgar, D. W., Roberts, T. G., & Murphy, T. H. (2011). Exploring relationships between teaching
efficacy and student teacher – cooperating teacher relationships. Journal of Agricultural
Education, 52(1), 9-18. https://doi.org/10.5032/jae.2011.01009
Ganser, T. (2002). How teachers compare the roles of cooperating teacher and mentor. The
Educational Forum, 66(4), 380–385. https://doi.org/10.1080/00131720208984858
Gonyea, R. M. (2005). Self-reported data in institutional research: Review and
recommendations. New Directions for Institutional Research, 2005(127), 73-89.
https://doi.org/10.1002/ir.156
He, Y. (2010). Strength-based mentoring in pre-service teacher education: A literature review.
Mentoring & Tutoring: Partnership in Learning, 17(3), 263-275.
https://doi.org/10.1080/13611260903050205
https://doi.org/10.37433/aad.v3i4.261
40
Nesbitt et al.
Advancements in Agricultural Development
Ingersoll, R. M., Merrill, E., Stuckey, D., & Collins, G. (2018). Seven trends: The transformation of
the teaching force – Updated October 2018. CPRE Research Reports.
https://repository.upenn.edu/cpre_researchreports/108
Ingersoll, R. M., & Strong, M. (2011). The impact of induction and mentoring programs for
beginning teachers: A critical review of the research. Review of Educational Research
81(2) 201-233. https://doi.org/10.3102/0034654311403323
Kasperbauer, H. J., & Roberts, T. G. (2007). Changes in student teacher perceptions of the
student teacher-cooperating teacher relationship throughout the student teaching
semester. Journal of Agricultural Education, 48(1), 31-41.
https://doi.org/10.5032/jae.2007.01031
King, M. F., & Bruner, G. C. (2000). Social desirability bias: A neglected aspect of validity testing.
Psychology & Marketing, 17(2), 79-103. https://doi.org/10.1002/(SICI)15206793(200002)17:2%3C79::AID-MAR2%3E3.0.CO;2-0
Korte, D. S., & Simonsen, J. C. (2018). Influence of social support on teacher self-efficacy in
novice agricultural education teachers. Journal of Agricultural Education, 59(3), 100-123.
https://doi.org/10.5032/jae.2018.03100
Lomax, R. G., & Hahs-Vaughn, D. L. (2012). An introduction to statistical concepts (3rd ed.).
Routledge.
McIntyre, D. J., & Killian, J. E. (1987). The influence of supervisory training for cooperating
teachers on preservice teachers’ development during early field experiences. The
Journal of Educational Research, 80(5), 277–282. http://www.jstor.org/stable/40539638
Oyster, B., & Bobbit, J. (2021). The use of constructivism in agricultural and physical education.
Empowering Research for Educators, 4(1).
https://openprairie.sdstate.edu/ere/vol4/iss1/3/
Roberts, T. G. (2006). Developing a model of cooperating teacher effectiveness. Journal of
Agricultural Education, 47(3), 1-13. https://doi.org/10.5032/jae.2006.03001
Rocca, S. J. (2005). Predicting preservice agriculture teachers' intentions to teach utilizing person
inputs, contextual influences, teacher efficacy, and outcome expectations (Publication
No. 3178030). [Doctoral dissertation, University of Florida]. ProQuest Dissertations &
Theses Global. https://ufdcimages.uflib.ufl.edu/UF/E0/01/00/03/00001/rocca_s.pdf
Russell, M. L., & Russell, J. A. (2011). Mentoring relationships: Cooperating teachers'
perspectives on mentoring student interns. Professional Educator, 35(1), 21.
https://files.eric.ed.gov/fulltext/EJ988202.pdf
https://doi.org/10.37433/aad.v3i4.261
41
Nesbitt et al.
Advancements in Agricultural Development
Seifert, K., & Sutton, R. (2009). Educational psychology (2nd ed.) [ebook]. Global Text Project
2009. https://resources.saylor.org/wwwresources/archived/site/wpcontent/uploads/2011/04/Educational-Psychology.pdf
Stewart, J., Lambert, M. D., Ulmer, J. D., Witt, P.A., & Carraway, C. L. (2017). Discovering quality
in teacher education: Perceptions concerning what makes an effective cooperating
teacher. Journal of Agricultural Education, 58(1), 280-299.
https://doi.org/10.5032/jae.2017.01280
Swan, B. G., Wolf, K. J., & Cano, J. (2011). Changes in teacher self–efficacy from the student
teaching experience through the third year of teaching. Journal of Agricultural
Education, 52(2), 128-139. https://doi.org/10.5032/jae.2011.02128
Vijaya Kumari, S. N. (2014) Constructivist approach to teacher education: An integrative model
for reflective teaching. Journal on Educational Psychology, 7(4), 31-40.
https://files.eric.ed.gov/fulltext/EJ1098640.pdf
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes.
Harvard University Press.
Young, A., & MacPhail, A. (2015). Standing on the periphery: Cooperating teachers’ perceptions
and responses to the role of supervision. European Physical Education Review, 21(2),
222–237. https://doi.org/10.1177/1356336X14557582
Zimpher, N. L., deVoss, G. G., & Nott, D. L. (1980). A closer look at university student teacher
supervision. Journal of Teacher Education, 31(4), 11-15.
https://doi.org/10.1177/002248718003100405
© 2022 by authors. This article is an open access article distributed under the terms and conditions of
the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
https://doi.org/10.37433/aad.v3i4.261
42
|
|
https://openalex.org/W4393958174
|
https://jcs.greenpublisher.id/index.php/jcs/article/download/1/1
|
Indonesian
| null |
Peran Sikap Optimis Dan Dukungan Sosial Pada Subjective Well-Being Di Masa Pandemic Covid-19
|
Journal of Comprehensive Science
| 2,022
|
cc-by-sa
| 3,744
|
Keywords:
Subjective Well-
being, Optimism,
Social Support,
Covid-19 ABSTRACT This study aims to determine the role that influences Subjective Well-being during a pandemic through
optimistic attitudes and social support factors. This research is qualitative with a library study
approach. The data used by the researcher are secondary data that are magazines related to optimistic
attitudes and social support for Subjective Well-being. The researchers analyzed several journals
classifying them correctly for data collection so that they were new to this study. The results found by
the researchers in the form of subjective well-being have supporting factors to face the pandemic
period that hit various fields, both economic and social. This shows that an optimistic attitude must be
presented to strengthen the body's resistance during a pandemic that hits a person's psyche and
mentality. In addition, social support allows someone to get up and find temporary solutions during a
pandemic with various activities to explore hobbies that generate income. ABSTRAK Kata Kunci:
Subjective Well-
Being, Optimis,
Dukungan Sosial,
Covid-19 ,
Penelitian ini bertujuan untuk mengetahui peran yang berdampak pada Subjective Well-Being di masa
pandemic melalui factor sikap optimis dan dukungan sosial. Penelitian ini berjenis kualitatif dengan
pendekatan studi Pustaka. Data yang di gunakan oleh peneliti merupakan data sekunder yang
merupakan jurnal-jurnal yang berkaitan dengan sikap optimis dan dukungan sosial terhadap Subjective
Well-Being. Peneliti menganalisis beberapa jurnal dengan menyortir dengan tepat untuk pengambilan
data agar menjadi kebaharuan didalam penelitian ini. Hasil yang ditemukan oleh peneliti berupa
kesejahteraan subjektif memiliki faktor pendukung untuk menghadapi masa pandemic yang menerjang
berbeagai bidang baik ekonomi maupun sosial. Hal tersebut membuktikan bahwa sikap optimis harus
dihadirkan untuk memperkuat ketahan tubuh saat pandemic yang menerpa psikis maupun mental
seseorang. Selain itu dukungan sosial menjadikan seseorang untuk bangkit dan mencari solusi
sementara saat pandemic dengan berbagai kegiatan untuk mengeksplorasi hobi yang menghasilkan
pendapatan. PERAN SIKAP OPTIMIS DAN DUKUNGAN SOSIAL PADA
SUBJECTIVE WELL-BEING DI MASA PANDEMIC COVID-19 Fizi Fauziya
STKIP Asy-Syafi’iyah Internasional Medan
email: fizifauziya@stembi.ac.id PENDAHULUAN Kesejahteraan subjektif atau bisa disebut dengan Subjective Well-Being adalah
evaluasi yang dilakukan individu atas hidupnya sendiri, baik secara afektif maupun kognitif
(Sari dan Maryatmi, 2019). Terkait kesejahteraan subjektif, di Indonesia, beberapa
pekerjaan berpotensi menurunkan tingkat kesejahteraan subjektif seseorang, bahkan di
masa pandemi saat ini. Masa pandemi terjadi karena ada virus corona yang sedang mewabah dan pemerintah
membuat kebijakan untuk menekan penyebaran virus tersebut, sehingga dilakukan PSBB. Pandemi penyakit coronavirus 2019 (Covid-19) sedang dialami oleh beberapa negara di
dunia (WHO, 2020). Upaya preventif terus dikampanyekan untuk meminimalisir risiko
penyebaran Covid-19, salah satunya physical distancing (WHO, 2020). Aturan tersebut
telah mengganggu beberapa rutinitas sehari-hari, salah satunya adalah pandemi
coronavirus disease 2019 (Covid-19) yang dialami beberapa negara di dunia (WHO, 2020). Kegiatan pembatasan orang untuk bekerja ini dapat memicu peningkatan angka
pengangguran. Pengangguran adalah orang yang tidak melakukan kegiatan yang
menghasilkan uang. Pengangguran tidak hanya terbatas pada orang yang belum bekerja, 1 Volume 1, No 1, Agustus 2022, Page: 1-8 Volume 1, No 1, Agustus 2022, Page: 1-8 tetapi orang yang sedang mencari pekerjaan dan orang yang bekerja tetapi pekerjaannya
tidak produktif dapat digolongkan sebagai pengangguran (Sukino, 2000). Termasuk
masyarakat yang berdiam diri di rumah, semuanya untuk menghentikan penyebaran virus
covid-19 ini (Kasnelly, 2020). y
Masa pandemi Covid-19 juga melanda semua bidang, termasuk pengurangan
pekerjaan yang dilakukan oleh perusahaan, organisasi dan instansi (Sunarti, 2021). Kurangnya pekerjaan menciptakan stres bagi tanggungan karena dampak ekonomi yang
kuat, sehingga menciptakan masalah baru seperti pengangguran. Melihat semakin
banyaknya PHK dan pengangguran, maka akan sering mempengaruhi berbagai sektor
kehidupan di masyarakat, salah satunya adalah tingkat kesejahteraan subjektif yang bisa
disebut dengan Subjective Well-Being. Salah satu faktor yang dapat meningkatkan kesejahteraan subjektif yang bisa disebut
dengan Subjective Well-Being adalah optimisme. Optimisme adalah sifat berbasis
pemikiran dari seorang individu yang dapat mengarah untuk bergerak maju dengan
mempertahankan pola pikir yang dapat dikaitkan dengan kesuksesan seseorang dalam
hidup. Oleh karena itu, orang yang optimis dapat mencapai kesuksesan dalam sebagian
besar aktivitasnya (Veronica, 2021). Selain optimisme, faktor yang dapat meningkatkan kesejahteraan subjektif atau
Subjective Well-Being adalah dukungan sosial. Dukungan sosial adalah informasi yang
mengarah pada keyakinan bahwa seseorang dicintai, dihargai, dan termasuk dalam
kewajiban bersama. Chunkai, Shan, & Xinwen, (2019) mendefinisikan dukungan sosial
dengan mengambil salah satu jenis dukungan sosial yang paling berpengaruh yaitu
dukungan sosial keluarga dan memberikan pengertian bahwa dukungan sosial adalah
konsep multidimensi yang mencakup dukungan dari keluarga yang diterima secara
subyektif dan praktis. PENDAHULUAN Karena telah terbukti bahwa optimis dan dukungan sosial merupakan pengaruh
utama terhadap peningkatan kesejahteraan subjektif yang bisa disebut dengan Subjective
Well-Being. Penelitian ini menganalisis beberapa penelitian yang nantinya mengambil
aspek optimis dan dukungan sosial yang akan dianalisis pengaruhnya terhadap
kesejahteraan subjektif yang bisa disebut dengan Subjective Well-Being dan ini merupakan
salah satu hal baru dari penelitian ini. HASIL DAN PEMBAHASAN Penelitian yang dilakukan oleh Dewi dan Rahayu (2020) yang berjudul Optimisme
dan keberfungsian keluarga hubungannya dengan Subjective Well-Being pekerja
perempuan yang Work From Home di Kecamatan Tambun Utara Kabupaten Bekasi. Hasil
penelitian menunjukan bahwa Analisis data menggunakan multivariate correlation antara
variabel optimisme dan keberfungsian keluarga dengan subjective well-being diperoleh R
square = 0,075 dengan nilai p = 0,002 (p < 0,05), artinya ada hubungan signifikan dengan
arah positif antara variabel optimisme dan keberfungsian keluarga dengan Subjective Well-
Being perempuan pekerja yang bekerja secara Work From Home di Kecamatan Tambun
Utara Kabupaten Bekasi. Penelitian yang dilakukan oleh Dewanti dan Ayriza (2021) yang berjudul Pengaruh
Optimisme Terhadap Kesejahteraan Subjektif atau Subjective Well-Being pada Mahasiswa
yang Mengerjakan Tugas Akhir. Hasil penelitian menunjukkan bahwa terdapat pengaruh
optimisme yang positif dan signifikan terhadap kesejahteraan subjektif atau Subjective
Well-Being (0,000 <0,05) dengan garis regresi yang didapatkan yakni Y = 33,631 +
0,901X. Dengan demikian dapat dikatakan bahwa optimism mampu memprediksi
kesejahteraan subjektif atau Subjective Well-Being individu yang mengerjakan tugas akhir. Penelitian yang dilakukan oleh Irianti (2020) yang berjudul Gambaran Optimisme
Dan Kesejahteraan Subjektif Pada Ibu Tunggal di Usia Dewasa Madya. Hasil penelitian ini
menunjukkan gambaran optimisme dan kesejahteraan subjektif atau Subjective Well-Being
pada ibu tunggal paruh baya, dimana keempat subjek mampu bersyukur atas kehidupan
yang mereka jalani sambil berfikir positif terhadap apapun yang akan terjadi. Hal tersebut
dapat dicapai karena (1) dukungan dari masyarakat sekitar para ibu tunggal atau
tetangganya. (2) Rutinitas atau aktivitas sehari-hari yang sangat mempengaruhi kondisi
emosional subjek. (3) Anak-anak mereka yang menjadi sumber kebanggaan dan prestasi
bagi para ibu tunggal. (4) Penghasilan atau pekerjaan tidak menjadi faktor utama
kesejahteraan subjek atau Subjective Well-Being. Penelitian yang dilakukan oleh Pratiwi (2019) yang berjudul Peranan Optimisme
Terhadap Kesejahteraan Subjektif pada Mahasiswa yang Sedang Mengerjakan Skripsi
Serta Tinjauannya dalam Islam. Hasil yang didapatkan menunjukkan bahwa terdapat peran
signifikan optimisme terhadap kesejahteraan subjektif mahasiswa yang mengerjakan
skripsi (R2 = 0,071; p < 0,05). Optimisme yang baik akan membuat mahasiswa memiliki
kesejahteraan subjektif atau Subjective Well-Being yang baik dalam dirinya. Hal ini sesuai
dengan pandangan Islam bahwa optimisme dapat meningkatkan kesejahteraan subjektif
atau Subjective Well-Being mahasiswa. Penelitian yang dilakukan oleh Situmorang (2018) yang berjudul Kesejahteraan
Subjektif Perempuan Pemimpin Ditinjau dari Peran Optimisme dan Efikasi Diri. Hasil
analisis regresi ganda menunjukkan adanya korelasi positif antara optimism dan efikasi diri
terhadap Kesejahteraan subjektif atau Subjective Well-Being perempuan pemimpin. METODE PENELITIAN Penelitian ini ber jenis kualitatif-fenomenologi. Tahap terakhir dari penelitian ini
adalah mengungkap atau menemukan makna dari apa yang ditemukan (Soeherman, 2019,
pp. 12-13). Penelitian ini dalam mendapatkan data dengan melakukan studi pustaka yang
bertujuan mendapatkan informasi berkaitan dengan Optimis dan Dukungan sosial terhadap
Subjective Well-Being. Penelitian ini dirancang akan memerlukan beberapa tahapan
sebagai berikut: g
1. Persiapan
Peneliti melakukan studi pendahuluan untuk mengumpulkan informasi yang
menguatkan tujuan penelitian ini. g
j
p
2. Pelaksanaan
Selanjutnya peneliti menentukan penelitian-penelitian yang meneliti tentang
Optimis dan Dukungan sosial terhadap Subjective Well-Being. 3. Analisis Data
Peneliti menganalisis berupa penelitian yang berkiatan dengan Optimis dan
Dukungan sosial terhadap Subjective Well-Being. Peneliti menganalisis berupa penelitian yang berkiatan dengan Optimis dan
Dukungan sosial terhadap Subjective Well-Being. ukungan sosial terhadap Subjective Well-Being. 4. Penarikan Kesimpulan 2 Setelah peneliti menganalisis penelitian-penelitian yang berkaitan dengan Optimis
dan Dukungan sosial terhadap Subjective Well-Being kemudian disimpulkan untuk
mencapai tujuan penelitian. Volume 1, No 1, Agustus 2022, Page: 1-8 Volume 1, No 1, Agustus 2022, Page: 1-8 Volume 1, No 1, Agustus 2022, Page: 1-8 kesejahteraan subjektif atau Subjective Well-Being pada pekerja kontrak atau PKWT
(Perjanjian Kerja Waktu Tertentu) berkaitan dengan internalisasi nilai religius dan budaya,
yang melandasi keyakinan positif dan optimisme bahwa bekerja keras akan menghasilkan
kesejahteraan dan ketercukupan, walaupun belum tercapai. Afek positif yang mendukung
daya tahan pekerja kontrak antara lain karena kuatnya optimisme, adanya dukungan
keluarga dan relasi positif dengan sesama pekerja. Sedangkan faktor penghambat
pencapaian kesejahteraan subjektif atau Subjective Well-Being pada pekerja kontrak yaitu
afek negatif (ketidakberdayaan, ketidakpastian dan rasa tidak aman) yang berkaitan dengan
status kerjanya. Dengan demikian, peningkatan status kerja menjadi diperlukan untuk
menghilangkan ketidakpastian, dan mendorong pencapaian kesejahteraan subjektif atau
Subjective Well-Being pekerja. Penelitian yang dilakukan oleh Zalki dkk (2021) yang berjudul Optimisme Dan
Kesejahteraan Subjektif Pada Pengangguran Dewasa Muda. Hasil analisis korelasi antara
optimisme dan pengaruh menyenangkan menunjukkan bahwa p-value = 0,000 (p<0,05)
dan r = 0,516 yang berarti terdapat hubungan positif yang signifikan. Optimisme dan afek
tidak menyenangkan menunjukkan bahwa p-value = 0,000 (p<0,05) dan r = -0,559 yang
berarti terdapat hubungan negatif yang signifikan. Optimisme dan kepuasan hidup
menunjukkan bahwa p-value = 0,000 (p<0,05) dan r = 0,457 yang berarti terdapat
hubungan positif yang signifikan. Penelitian yang dilakukan oleh Hartono & Soeharto (2021) yang berjudul Review
Literatur: Prediktor Kesejahteraan Subyektif Pada Perawat Di Tinjau Dari Teori Bottom-
Up Dan Top-Down Pada Masa Global Pandemi Corona Virus. Hasil penelitian
menunjukan bahwa prediktor kesejahteraan subyektif atau Subjective Well-Being yang di
jabarkan dalam dua pendekatan teori pendekatan teori top-down dan teori bottom-up
memiliki Pengaruh baik langsung maupun tidak langsung terhadap kesejahteraan subyektif
pada perawat. Beberapa prediktor dalam dua pendekatan teori tersebut telah dibuktikan
berkorelasi dengan kesejahteraan subyektif atau Subjective Well-Being pada perawat. Prediktor tersebut antara lain; Job Satisfaction and Emotional Subjective Well-Being,
Faktor demografis dan faktor pekerjaan, optimisme, dukungan sosial, Self-Efficacy and
Hope, persepsi dukungan organisasi dan harga diri, regulasi emosi dan stress, strategi
koping, dan spiritual leadership. Penelitian yang dilakukan oleh Wahyuni (2018) yang berjudul Pengaruh dukungan
sosial dan religiusitas terhadap Subjective Well-Being pada pensiunan PNS. Hasil
penelitian menggunakan analisis regresi berganda menunjukan bahwa seluruh variabel
bebas yang digunakan berpenngaruh signifikan terhadap Subjective Well-Being dengan
proporsi varian sebesar 50,6%, sedangkan sisanya 49,4% dipengaruhi oleh variabel lain
diluar penelitian. HASIL DAN PEMBAHASAN Sumbangan efektif variable Optimism dan efikasi diri Kesejahteraan subjektifperempuan
pemimpin.adalah R2= 33.30%, dengan demikian kontribusi optimism dan efikasi diri
terhadap Kesejahteraan subjektif atau Subjective Well-Being perempuan pemimpin
sebesar 33.30 %. Penelitian yang dilakukan oleh Sengkey dan Tiwa (2020) yang berjudul
Kesejahteraan Subjektif Pekerja Kontrak (PKWT). Hasil penelitian menunjukan bahwa 3 Volume 1, No 1, Agustus 2022, Page: 1-8 Volume 1, No 1, Agustus 2022, Page: 1-8 Sementara, hasil analisis masing-masing variabel secara terpisah
menunjukan bahwa variabel dukungan emosional, dukungan informasional, dukungan
instrumental, dukungan persahabatan dan praktek agama berpengaruh signifikan terhadap
Subjective Well-Being pada pensiunan PNS. Sedangkan empat variabel keyakinan agama,
konsekuensi agama, pengalaman agama dan pengetahuan agama tidak signifikan
berpengaruh terhadap Subjective Well-Being pada pensiunan PNS. Penelitian yang dilakukan oleh Thohiroh (2019) yang berjudul Peranan persepsi
dukungan sosial terhadap kesejahteraan subjektif di sekolah pada siswa Pondok Pesantren
Modern. Hasil penelitian menunjukkan bahwa persepsi dukungan sosial dari guru dan
teman berperan secara signifikan terhadap kesejahteraan subjektif atau Subjective Well-
Being di sekolah, sementara persepsi dukungan sosial dari orang tua tidak berhubungan
signifikan. Persepsi dukungan sosial teman berhubungan signifikan dengan dimensi school
satisfaction dan affect in school; persepsi dukungan sosial dari guru berhubungan
signifikan dengan school satisfaction tetapi tidak dengan affect in school. 4 Penelitian
yang
dilakukan
oleh
Azhima
dan
Indrawati
(2018)
yang
berjudul Hubungan Antara Dukungan Sosial Keluarga Dengan Subjective Well-Being
Pada Narapidna Perempuan Di Lembaga Pemasyarakatan "X". hasil penelitian menunjukan
bahwa Uji hipotesis dengan menggunakan analisis regresi sederhana menunjukkan
koefisien korelasi sebesar 0,661 dengan signifikansi 0,000 (p < 0,05) yang berarti terdapat
hubungan positif yang signifikan antara dukungan sosial keluarga dengan kesejahteraan
subjektif atau Subjective Well-Being. Semakin positif dukungan sosial keluarga yang
dirasakan, semakin besar kesejahteraan subjektif perempuan yang dirampas kebebasannya
di Lembaga Pemasyarakatan “X”. Dukungan sosial keluarga memberikan kontribusi yang
efektif yaitu R squared = 0,437 atau 43,7% terhadap kesejahteraan subjektif atau Subjective
Well-Being. Sebanyak 61,7% subjek dalam penelitian ini merasakan dukungan sosial
keluarga yang positif dan 81,7% memiliki kesejahteraan subjektif atau Subjective Well-
Being yang tinggi. g y
g
gg
Penelitian yang dilakukan oleh Wijayanti (2020) yang berjudul Peran dukungan
sosial dan interaksi ibu-anak dalam meningkatkan kesejahteraan subjektif remaja pada
keluarga orang tua bekerja. Hasil uji PLS menunjukkan bahwa dukungan sosial dan
interaksi ibu-anak berpengaruh langsung terhadap kesejahteraan subjektif atau Subjective
Well-Being remaja. Untuk itu orang tua hendaknya menyiapkan dukungan sosial yang
sesuai bagi remaja dan membangun interaksi yang baik dengan anak diantara kesibukannya
bekerja. Penelitian yang dilakukan oleh Fajar dan Lestari (2020) yang berjudul Peran
Dukungan Sosial Dan Harga Diri Terhadap Kesejahteraan Subjektif Penyandang
Disabilitas Fisik. Hasil analisis data diperoleh nilai koefisien korelasi R= 0.694 dan
signifikansi 0,00 (p< 0,05) artinya ada hubungan yang sangat signifikan antara dukungan
sosial, harga diri, dengan kesejahteraan subjektif atau Subjective Well-Being pada
penyandang disabilitas fisik. Volume 1, No 1, Agustus 2022, Page: 1-8 Volume 1, No 1, Agustus 2022, Page: 1-8 Volume 1, No 1, Agustus 2022, Page: 1-8 Irianti (2020); Pratiwi (2019); Situmorang (2018); Zalki dkk (2021) dan Hartono &
Soeharto (2021). Hasil tersebut menunjukan saat mulai bekerja dan mencari pekerjaan
selama situasi pandemi, orang mulai beradaptasi, kemudian keputusasaan mulai mereda
dan optimisme meningkat, sehingga minat pada pekerjaan mereka. Walaupun banyak literature yang menyatakan bahwa terdapat pengaruh signifikan
optimis terhadap Subjective Well-Being terdapat juga temuan sebaliknya, Lai (2015); Lui
dkk, (2016) dan Sengkey dan Tiwa (2020) menemukan bahwa optimis tidak berpengaruh
signifikan terhadap Subjective Well-Being. Kesejahteraan subjektif sebelum masa pandemi
dapat menunjukkan adanya tekanan di tempat kerja dan kurangnya waktu bersama
keluarga, yang menyebabkan optimisme lebih besar, namun setelah masa pandemic yang
diterjemahkan ke dalam pengurangan karyawan dan bekerja di rumah perasaan terkejut,
cemas, ragu, kurang minat dan diterjemahkan ke dalam pengurangan optimisme. g
g
j
p
g
g
p
Beberapa penelitian terdahulu menemukan bahwa dukungan sosial mampu
berpengaruh signifikan terhadap subjective well-being seperti penelitian Wahyuni (2018);
Azhima dan Indrawati (2018); Wijayanti (2020); Fajar dan Lestari (2020); Asirwada dan
Utami (2022); Adzhani dkk (2020) dan Zahra (2021). Di sisi lain, dukungan sosial
membuat masyarakat merasa bahwa selama masa pandemi ini, mereka memiliki
pengalaman bekerja dengan perasaan bahagia dan sukses dengan menyalurkan hobi dan
menghabiskan waktu bersama keluarga dan berinteraksi satu sama lain, yang pada akhirnya
merasakan kepuasan hidup. Berbeda dengan beberapa penelitian terdahulu yang telah disebutkan dalam
penelitian Thohiroh (2019) dan Gülaçti, (2010) menemukan bahwa dukungan sosial dari
teman dan orang-orang spesial tidak dapat berpengaruh signifikan terhadap kesejahteraan
subjektif yang bisa disebut dengan Subjective Well-Being. Kesejahteraan yang
diperkirakan akan menurun akibat kurangnya dukungan sosial akibat pandemi akan
menurunkan kepuasan karena merasa sia-sia dengan hidupnya dan pasrah dengan masa
baktinya, runtuhnya cita-citanya yang tidak sesuai dengan yang diharapkan, memiliki
tujuan yang berubah selama pandemi dan dukungan sosial yang tidak memadai untuk apa
yang dibutuhkan. Selanjutnya, ketika mereka menganggur, mereka malu dengan hasil
pekerjaannya dan tertekan oleh kenaikan biaya hidup dan pendapatan yang menurun. Volume 1, No 1, Agustus 2022, Page: 1-8 Sumbangan efektif untuk hubungan antara dukungan sosial
dan harga diri dengan kesejahteraan subjektif atau Subjective Well-Being, berdasarkan
koefisien R2 = 48,1 %. Berdasarkan hasil kategorisasi tingkat dukungan sosial, harga diri
dan kesejahteraan subjektif atau Subjective Well-Being tergolong sedang. Penelitian yang dilakukan oleh Asirwada dan Utami (2022) yang berjudul Peran
Harga Diri Dan Dukungan Sosial Terhadap Kesejahteraan Subjektif Pada Remaja. Hasil
penelitian menunjukkan bahwa harga diri dan dukungan sosial memberikan peran sebesar
69,1% terhadap kesejahteraan subjektif atau Subjective Well-Being pada remaja. Penelitian yang dilakukan oleh Adzhani dkk (2020). Persepsi dukungan sosial
sebagai mediator pengungkapan diri dan kesejahteraan subjektif pada pengguna
instagram. Hasil penelitian menunjukkan bahwa: 1) pengungkapan diri berpengaruh secara
signifikan terhadap kesejahteraan subjektif atau Subjective Well-Being, 2) pengungkapan
diri berpengaruh secara signifikan terhadap persepsi dukungan sosial, 3) persepsi dukungan
sosial berpengaruh secara signifikan terhadap kesejahteraan subjektif atau Subjective Well-
Being, 4) persepsi dukungan sosial secara signifikan menjadi variabel mediator bagi peran
pengungkapan diri terhadap kesejahteraan subjektif atau Subjective Well-Being. Penelitian yang dilakukan oleh Zahra (2021) yang berjudul Peran Dukungan Sosial
Terhadap Kesejahteraan Subjektif Mahasiswa Dalam Masa Pandemi Covid-19. Hasil uji
statistik Pearson Correlation menunjukkan bahwa dukungan sosial memiliki hubungan
positif yang kuat dan signifikan dengan kesejahteraan subjektif atau Subjective Well-
Being. Semakin besar dukungan sosial, maka semakin besar kesejahteraan subjektif. Berdasarkan hasil analisis penelitian diatas menunjukan bahwa Hubungan antara
optimis terhadap Subjective Well-Being juga dibahas oleh beberapa penelitian terdahulu
bahwa optimis mampu memberikan pengaruh terhadap Subjective Well-Being seperti
penelitian yang dilakukan oleh Dewi dan Rahayu (2020); Dewanti dan Ayriza (2021); 5 Volume 1, No 1, Agustus 2022, Page: 1-8 BIBLIOGRAFI Adzhani, S. N., Baihaqi, M. I. F., & Kosasih, E. (2020). Persepsi dukungan sosial sebagai
mediator pengungkapan diri dan kesejahteraan subjektif pada pengguna
instagram. MEDIAPSI, 6(1), 60-70. Asirwada, Ikana Naifah Tahara dan Utami, Muhana Sofiati (2022). Peran Harga Diri Dan
Dukungan Sosial Terhadap Kesejahteraan Subjektif Pada Remaja (Doctoral
dissertation, Universitas Gadjah Mada). j
Azhima, D. D., & Indrawati, E. S. (2018). Hubungan Antara Dukungan Sosial Keluarga
Dengan Subjective Well-Being Pada Narapidna Perempuan Di Lembaga
Pemasyarakatan" X" (Doctoral dissertation, Undip). Darusmin, D. F., & Himam, F. (2015). Subjective well being pada hakim yang bertugas di
daerah terpencil. Jurnal Psikologi UGM, 1(3), 196618. Dewanti, A. D. P., & Ayriza, Y. (2021). Pengaruh Optimisme Terhadap Kesejahteraan
Subjektif pada Mahasiswa yang Mengerjakan Tugas Akhir. Acta Psychologia, 3(2),
119-126. Dewi, A. K., & Rahayu, A. (2020). Optimisme dan keberfungsian keluarga hubungannya
dengan subjective well-being pekerja perempuan yang work from home di
Kecamatan Tambun Utara Kabupaten Bekasi. IKRA-ITH HUMANIORA: Jurnal
Sosial dan Humaniora, 4(3), 1-8. Fajar, M., Lestari, R., & Psi, S. (2020). Peran Dukungan Sosial Dan Harga Diri Terhadap
Kesejahteraan Subjektif Penyandang Disabilitas Fisik (Doctoral dissertation,
Universitas Muhammadiyah Surakarta). Gülaçti, F. (2010). The effect of perceived social support on subjective well-being. Procedia Social and Behavioral Sciences, 2, 3844–3849. Hartono, S., & Soeharto, T. N. E. D. (2021). Review Literatur: Prediktor Kesejahteraan
Subyektif Pada Perawat Di Tinjau Dari Teori Bottom-Up Dan Top-Down Pada Masa
Global Pandemi Corona Virus. Mempersiapkan Generasi Digital Yang Berwatak
Sociopreneur: Kreatif, Inisiatif, dan Peduli di Era Society 5.0. Irianti, S. (2020). Gambaran Optimisme Dan Kesejahteraan Subjektif Pada Ibu Tunggal di
Usia Dewasa Madya. Psikoborneo: Jurnal Ilmiah Psikologi, 8(1), 107-116. Karni, A. (2018). Subjective well-being pada lansia. Jurnal Ilmiah Syi'ar, 18(2), 84-102. Kasnelly, F. A. J. S. (2020). Meningkatnya Angka Pengangguran Ditengah Pandemi
(Covid-19). Al-Mizan: Jurnal Ekonomi Syariah, 3(1), 45-60. Lai, L. C.-H. (2015). Buddhism and Subjective Wellbeing: Do Self-Esteem, Optimism and
Perceived Control Play a Role? Journal of Social Sciences, 3, 1-7. Lui, P., Rollock, D., Chang, E., Leong, F., & Zamboanga, B. (2016). Big 5 Personality and
Subjective Well-Being in Asian Americans: Testing Optimism and Pessimism as
Mediators. Asian American Journal of Psychology, 7(4), 274–286. Mujamiasih, M. (2013). Subjective well-being (SWB): Studi indigenous karyawan bersuku
Jawa. Journal of Social and Industrial Psychology, 2(2). Ola`h. (2002). Positive traits: Flow and psychological immunity. Washington: Paper
presented at the First. Panggagas, F. A. W., Imawati, D., & Sari, M. T. (2020). KESIMPULAN Pekerja yang memiliki pekerjaan dan mereka yang kehilangan pekerjaan selama
pandemi merasa puas dengan kesejahteraan subjektif mereka saat ini, meskipun mereka
masih harus menghadapi masalah ekonomi. Pasalnya, masyarakat saat ini harus
menerapkan strategi agar mampu mengambil pelajaran dari peristiwa yang dialami adalah
tetap optimis, berusaha mengendalikan diri, sabar dan mampu memahami kebersihan demi
Kesehatan sekitar. Selain itu, dukungan sosial terutama dukungan keluarga membuat
mereka meningkatkan strategi untuk tetap hidup agar sejahtera di masa pandemi. Berbagai
faktor diduga mempengaruhi kesejahteraan subjektif, yaitu faktor agama seperti keyakinan
akan adanya surga dan keyakinan akan takdir, serta insentif yang mempengaruhi
kesejahteraan subjektif, seperti gaji. Selain itu, latar belakang pendidikan juga diyakini
mempengaruhi kesejahteraan subjektif, seperti perasaan nyaman, senang, dan menikmati
pekerjaan. Bagi mereka yang tidak memiliki pekerjaan, ada bantuan pemerintah yang dapat
memperpanjang kesejahteraan subjektif sementara untuk mengeksplorasi hobi yang
menghasilkan pendapatan. 6 6 Volume 1, No 1, Agustus 2022, Page: 1-8 Sari, F. I. P., & Maryatmi, A. S. (2019). Hubungan antara konsep diri (dimensi internal)
dan optimisme dengan subjective well-being siswa sma marsudirini bekasi. IKRA-
ITH humaniora: Jurnal Sosial Dan Humaniora, 3(1), 23-29. Seligman, M.E.P. (1991). Learned optimism. New York : A.A knopt. Inc. Sengkey, M. M., & Tiwa, T. M. (2020). Kesejahteraan Subjektif Pekerja Kontrak
(PKWT). Seurune: Jurnal Psikologi Unsyiah, 3(2), 1-21. Situmorang, N. Z. (2018). Kesejahteraan Subjektif Perempuan Pemimpin Ditinjau dari
Peran Optimisme dan Efikasi Diri. Fakultas Psikologi Universitas Ahmad Dahlan. Subadi, T. (2006). Metode penelitian kualitatif. Surakarta: Muhammadiyah University Pers
Sunarti, E. (2021). Ketahanan Keluarga Indonesia di Masa Pandemi Covid 19. PT Penerbit Subadi, T. (2006). Metode penelitian kualitatif. Surakarta: Muhammadiyah University Pers Subadi, T. (2006). Metode penelitian kualitatif. Surakarta: Muhammadiyah University Pers
Sunarti, E. (2021). Ketahanan Keluarga Indonesia di Masa Pandemi Covid 19. PT Penerbit
IPB Press (
)
p
y
y
Sunarti, E. (2021). Ketahanan Keluarga Indonesia di Masa Pandemi Covid 19. PT Penerbit
IPB Press. Thohiroh, H., Novianti, L. E., & Yudiana, W. (2019). Peranan persepsi dukungan sosial
terhadap kesejahteraan subjektif di sekolah pada siswa Pondok Pesantren
Modern. Psympathic: Jurnal Ilmiah Psikologi, 6(2), 131-144. Veronica, D. (2021). Pengaruh Layanan Konseling Kelompok Pendekatan Cognitive
Behavioral Therapy Terhadap Sikap Optimis Di Era Pandemi Covid-19 Pada Siswa
Kelas Xi-Sos 1 Di Sma Negeri 1 Kabanjahe Ta 2020/2021 (Doctoral dissertation,
Universitas Negeri Medan). Wahyuni, Z. I. (2018). Pengaruh dukungan sosial dan religiusitas terhadap subjective well-
being pada pensiunan PNS (Bachelor's thesis, Fakultas Psikologi UIN Syarif
Hidayatullah Jakarta). y
WHO. (2020). Coronavirus disease (COVID-19) pandemic. Wijayanti, R., Sunarti, E., & Krisnatuti, D. (2020). Peran dukungan sosial dan interaksi
ibu-anak dalam meningkatkan kesejahteraan subjektif remaja pada keluarga orang tua
bekerja. Jurnal Ilmu Keluarga & Konsumen, 13(2), 125-136. Zahra, H. A. (2021). Peran Dukungan Sosial Terhadap Kesejahteraan Subjektifpe
Mahasiswa Dalam Masa Pandemi Covid-19 (Doctoral dissertation, Universitas
Gadjah Mada). Zalki, R., Juniarly, A., & Fikri, M. Z. (2021). Optimisme Dan Kesejahteraan Subjektif Pada
Pengangguran Dewasa Muda (Doctoral dissertation, Sriwijaya University). Zimmerman, S. L. (1999). Self-Esteem, Personal Control, Optimism, Extraversion, and the
Subjective Well-Being of Midwestern University Faculty. USA: Dissertations
Graduate Research Andrews University This work is licensed under a Creative Commons Attribution-ShareAlike 4.0
International License. BIBLIOGRAFI Pengaruh gratitude terhadap
subjective well-being pada mahasiswa kuliah dan bekerja di Universitas 17 Agustus
1945 Samarinda. Motivasi, 7(1), 30-40. Pratiwi, A. E. (2019). Peranan Optimisme Terhadap Kesejahteraan Subjektif pada
Mahasiswa yang Sedang Mengerjakan Skripsi Serta Tinjauannya dalam
Islam (Doctoral dissertation, Universitas YARSI). Sadono sukino, Makro Ekonomi Modern, (Jakarta: PT Raja Grafindo Persada, 2000), hlm. 7 This work is licensed under a Creative Commons Attribution-ShareAlike 4.0
International License.
|
https://openalex.org/W4249555304
|
https://www.qeios.com/read/T60FZ3/pdf
|
English
| null |
Supraglottic Cancer pT1 TNM Finding v6 and v7
|
Definitions
| 2,020
|
cc-by
| 104
|
Qeios · Definition, February 7, 2020 Open Peer Review on Qeios Supraglottic Cancer pT1 TNM Finding v6
and v7 National Cancer Institute National Cancer Institute Qeios ID: T60FZ3 · https://doi.org/10.32388/T60FZ3 Source National Cancer Institute. Supraglottic Cancer pT1 TNM Finding v6 and v7. NCI
Thesaurus. Code C64736. National Cancer Institute. Supraglottic Cancer pT1 TNM Finding v6 and v7. NCI
Th
C d C64736 National Cancer Institute. Supraglottic Cancer pT1 TNM Finding v6 and v7. NC Thesaurus. Code C64736. Supraglottic cancer with tumor limited to 1 subsite of supraglottis with normal vocal cord
mobility. (from AJCC 6th and 7th Eds.) Qeios ID: T60FZ3 · https://doi.org/10.32388/T60FZ3 1/1
|
https://openalex.org/W4297857865
|
https://zenodo.org/records/1252214/files/2.pdf
|
English
| null |
AUTOMATED DETECTION OF HARD EXUDATES IN FUNDUS IMAGES USING IMPROVED OTSU THRESHOLDING AND SVM
|
Zenodo (CERN European Organization for Nuclear Research)
| 2,018
|
cc-by
| 5,963
|
International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 KEYWORDS KEYWORDS
Diabetic retinopathy, Fundus images, Hard exudates, Improved Otsu thresholding, SVM, Automated
detection. Diabetic retinopathy, Fundus images, Hard exudates, Improved Otsu thresholding, SVM, Automated
detection. 1College of Mechanical Engineering, Shanghai University of Engineering Science,
Shanghai, 201620, China
2 2Department of Ophthalmology, Jiangsu province hospital of TCM, Nanjing, 210029,
China ABSTRACT One common cause of visual impairment among people of working age in the industrialized countries is
Diabetic Retinopathy (DR). Automatic recognition of hard exudates (EXs) which is one of DR lesions in
fundus images can contribute to the diagnosis and screening of DR.The aim of this paper was to
automatically detect those lesions from fundus images. At first,green channel of each original fundus image
was segmented by improved Otsu thresholding based on minimum inner-cluster variance, and candidate
regions of EXs were obtained. Then, we extracted features of candidate regions and selected a subset which
best discriminates EXs from the retinal background by means of logistic regression (LR). The selected
features were subsequently used as inputs to a SVM to get a final segmentation result of EXs in the image. Our database was composed of 120 images with variable color, brightness, and quality. 70 of them were
used to train the SVM and the remaining 50 to assess the performance of the method. Using a lesion based
criterion, we achieved a mean sensitivity of 95.05% and a mean positive predictive value of 95.37%. With
an image-based criterion, our approach reached a 100% mean sensitivity, 90.9% mean specificity and
96.0% mean accuracy. Furthermore, the average time cost in processing an image is 8.31 seconds. These
results suggest that the proposed method could be a diagnostic aid for ophthalmologists in the screening
for DR. Weiwei Gao1 and Jing Zuo2 Weiwei Gao1 and Jing Zuo2 1College of Mechanical Engineering, Shanghai University of Engineering Science,
Shanghai, 201620, China
2 1. INTRODUCTION At present, a main challenge of current health care in the world is fast progression of diabetes. The number of people with diabetics would increase to 4.4% of the global population by 2030
expected by the world health organization [1]. However, the fact is that only one half of the
patients are aware of the disease. And in the medical perspective, diabetes will lead to severe late
complications. These complications are macro and micro vascular changes which would result in
heart disease, renal problems and retinopathy. Diabetic retinopathy (DR) which is one of the
common complications and it remains the most common cause of blindness among adults greater
than 65 years in the developed countries [2]. Although early detection and laser treatment of DR
have proved effective in preventing visual loss [3], too many diabetic patients are not treated in
time because of inadequacies of the currently available screening programmes [4]. It is now a
recognised urgent worldwide priority that institutes an efficient screening programme for the
detection of at-risk patients at a stage when they can still be effectively treated because 75% of
the blindness due to diabetes can be preventable. International guidelines recommend annual 1 DOI:10.5121/ijcses.2016.7101 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 fundus examination for all diabetic patients to detect the early stage of DR [5]. Now, it is certain
that the most effective treatment for DR is only in the first stages of the disease. So, early
detection by regular screening is of paramount importance. Digital image capturing technology
must be used because it can lower the cost of such screenings, and this technology enables us to
employ state-of-the-art image processing techniques which automate the detection of
abnormalities in fundus. DR clinical signs include red lesions and bright lesions. The former
include intraretinal microvascular abnormalities (IRMAs) and hemorrhages (HEs), the latter
include hard exudates (EXs) and soft exudates or cotton-wool spots (CWs) [6]. EXs are yellowish
intraretinal deposits and usually located in the posterior pole of the human fundus which is shown
in figure 1. Hard exudates are made up of serum lipoproteins which leak from the abnormally
permeable blood vessels, especially across the walls of leaking MAs. It can represent the only
visible sign of DR for some patients [6]. Because different lesions have different diagnostic
importance and management implications, it is very important to distinguish among lesion types. 2. MATERIALS In this work, a total of 120 fundus images which came from department of Ophthalmology,
Jiangsu province hospital of TCM were obtained from a non-mydriatic retinal camera with a 45°
field of view. The image resolution was 800*600 at 24 bit RGB. An ophthalmologist manually
marked all EXs in these images. The results obtained by our automatic method were compared
with these hand-labeled ones. According to the ophthalmologist, these images in the database
were divided as follows: (1) 68 of these images belong to patients who suffered from mild to moderate nonproliferative
DR. The images from DR patients all contained EXs. (1) 68 of these images belong to patients who suffered from mild to moderate nonproliferative
DR. The images from DR patients all contained EXs. g
p
(2) The remaining 52 images belonged to healthy patients. (2) The remaining 52 images belonged to healthy patients. Drusens were not present in any of these images. The total 120 fundus images were divided at
random into two subsets, one is a training set the other is a test set: Drusens were not present in any of these images. The total 120 fundus images were divided at
random into two subsets, one is a training set the other is a test set: Drusens were not present in any of these images. The total 120 fundus images were divided at
random into two subsets, one is a training set the other is a test set: (1) The training set contained 70 images of which 40 images were from DR patients. 2560
segmented regions were extracted from these images after the segmentation step of the
method named improved Otsu threshold segmentation. They were labeled as EXs, or
non-EXs according to the annotation of the ophthalmologist. Consequently, a fully labeled
ground truth database was created which would be used to determine the parameters of
SVM. The test set contained the remaining 50 images (22 from healthy retinas and 28 from
DR patients). It was used to validate the effectiveness of the complete algorithm by
comparing our result with the expert annotation. For this study we have used a Intel(R) Core(TM) Duo E7500 CPU PC with 6.0 GB RAM and the
platform of MATLAB R2009a. 1. INTRODUCTION We did research on EXs detection and their differentiation from other bright areas in fundus
images in this paper. EXs detection plays a very important role on DR screening tasks, as EXs are
among the common early clinical signs of DR [7]. Additionally, EXs detection could act as the
first step for a complete monitoring and grading of DR. Many attempts to detect EXs from fundus images can be found in the literature. Some of them use
the high luminosity of EXs to distinguish the lesions from background by the method of
thresholding.Ward [8] used shade correcting to reduce the shade variation in the color fundus
image. EXs were detected by thresholding. It required the user to select the threshold manually
according to the histogram. Phillips [9] detected the large EXs by a global threshold and
segmented the smaller, lower intensity ones by local threshold. The thresholds were selected
automatically, but the region of interest must be chosen manually. Sinthanayothin[10] applied a
recursive region growing segmentation to detect EXs after the color image standardization. Li[11]
modified the region growing method by introducing the Luv color space. Walter[12] proposed the
approach on EXs detection by their high grey level variation and their contours determined by
morphological reconstruction. S´anchez[13] raised the algorithm employing statistical
recognition, Fisher’s linear discriminant analysis, colour information and the edge sharpness by
applying a Kirsch operator to detect hard exudates and based on the detection to perform the
classification. Jaafar[14] proposed the algorithm that included a coarse segmentation which is
based on a local variation operation to outline the boundaries of all candidates with clear borders
and a following fine segmentation which is based on an adaptive thresholding as well as a new
split-and-merge technique to segment all bright candidates locally. Other approaches were based
on neural network classifiers, such as multilayer perceptrons as well as support vector machines
(SVM) [15-18]. In the following section 2, the characteristics of the image database under study is presented. Section 3 describes the detection method. We test the performance of the proposed method and
compare our method with other methods in section 4. In section 5, discussion and conclusion of
this paper is made. 2 2 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 Figure 1. Color fundus image and close-up of EXs
EXs
Optic disc Figure 1. Color fundus image and close-up of EXs 3.1. Improved Otsu thresholding segmentation stage Pigments contained in the fundus structures have different absorption characteristics, and
different wavelength monochromatic lights also have different penetration performance through
fundus, so spectral signatures of different layer of fundus structure are different. We found that
EXs appear most contrasted in the green channel, and optic disc appears most continuous and
most contrasted against the background in the red channel [19]. So we coarsely segmented EXs in
the green channel as shown in Figure 2(a), and segmented optic disc in the red channel which was 3 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 shown in Figure 2(b). In color fundus images, EXs are yellow white lesions with relatively
distinct margins, and in the green channel, they are of high luminosity. Consequently, the most
direct and simple approach to identify candidate regions of EXs might be to extract the bright
pixels from green channel using a threshold. But residual variability in the luminosity or in the
pigmentation of the retinal background made the utilization of an approach based on a threshold
impractical.So we opted for an improved approach which is called improved Otsu thresholding
based on minimum inner-cluster variance [20]. This method combines inner-cluster variance and
between-cluster variance of adaptive threshold segmentation, and when the threshold makes the
inner-cluster variance minimum and between-cluster variance maximum, it is considered to be the
optimal threshold. Optic disc is also masked out as shown in Figure 2(b) using the method
developed by Walter T [12] to reduce the computational cost of the classifier because optic disc
has similar attributes in terms of brightness, color and contrast. Figure 2(c) is the result after
segmentation of the image in Figure 1. Figure 2. The detection of EX. (a) green channel of original fundus image. (b) segmentation result of
optic disc. (c) candidate regions of EXs. (d) classification result of SVM. (e) detection result superimposed
over the original image. (f) close-up of detection result Figure 2. The detection of EX. (a) green channel of original fundus image. (b) segmentation result of
optic disc. (c) candidate regions of EXs. (d) classification result of SVM. (e) detection result superimposed
over the original image. (f) close-up of detection result (1) Region size A
(2-4) Mean RGB values inside the region
R
µ ,
G
µ ,
B
µ (8-10) Mean RGB values around the region
N
R
µ
,
N
G
µ
,
N
B
µ (1) Region size A
(2-4) Mean RGB values inside the region
R
µ ,
G
µ ,
B
µ
(5-7) Standard deviation of the RGB values inside the region
R
σ ,
G
σ
,
B
σ
(8-10) Mean RGB values around the region
N
R
µ
,
N
G
µ
,
N
B
µ 3.3. Feature selection stage Many features could be used to design and train the given classifier. However, misclassification
probability might be to increase with the number of features and the structure of classifier would
much more difficult to interpret [21]. Feature selection tries to avoid these problems by picking
out the subset of the extracted features which is most useful for a specific problem. Feature analysis for a specific classification task is based on the discriminatory power of the
features. This is a measure of the usefulness of each feature in predicting the class of an object. Traditional feature selection methods are classifier-driven, i.e., which rely on the results obtained
by a particular classifier for different subsets of features. In addition, it is more appropriate for
medical image analysis is that classifier independent feature analysis which collects information
concerning the structure of the data rather than the requirements for a particular classifier [21]. Logistic Regression (LR) is a classifier-independent method usually used for feature selection. LR can be used to describe the relationship between a response or dependent variable and one or
more explanatory or independent variables [22]. In our study, there were 24 independent variables
and the dependent variable was dichotomous. LR could be modelled by function (1) if he possible
values of the dependent variable are 0 and 1 [23]. z
z
Y
Prob
e
1
e
)1
(
+
=
=
(1) (1) where Y is the dependent variable, 1 is the desired outcome,
p
p x
b
x
b
x
b
b
z
L
+
+
+
=
2
2
1
1
0
,
p is the number of
ix ,
T
0
0
]
,
,
[
p
b
b
b
B
L
=
is regression coefficient which can be identified by
the maximum likelihood method. Model selection of LR can be carried out by several strategies. A stepwise selection method was
adopted because it can provide a fast and effective means to screen a large number of variables,
and to simultaneously fit a number of LR equations. Certain criteria are needed to be decided
whether an independent variable provides enough valuable information to enter the model or
whether, on the other hand, it can be considered redundant. In our study, an independent variable
would enter the model if the p-value associated with the result of the score test was lower than
0.05 which was a standard significance level. 3.3. Feature selection stage Accordingly, a variable would remove from the
model if the p-value associated with the result of the likelihood ratio test was higher than 0.10. (11-13) Standard deviation of the RGB values around the region
N
R
σ
,
N
G
σ
,
N
B
σ (11-13) Standard deviation of the RGB values around the region
N
R
σ
,
N
G
σ
,
N
B
σ (11-13) Standard deviation of the RGB values around the region
N
R
σ
,
N
G
σ
,
N
B
σ
(14-16) Ratio of the mean RGB values between inside region area and surrounding area
R
P ,
G
P ,
B
P
(17-19) Homogeneity of the region
R
H ,
G
H ,
B
H
(20-22) RGB values of the region center
R
C ,
G
C ,
B
C
(23) Region compactness CP
(24) Region edge strength ES (14-16) Ratio of the mean RGB values between inside region area and surrounding area
R
P ,
G
P ,
B
P 7-19) Homogeneity of the region
R
H ,
G
H ,
B
H (20-22) RGB values of the region center
R
C ,
G
C ,
B
C (23) Region compactness CP (24) Region edge strength ES International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 3.2. Feature extraction stage In order to classify the candidate regions identified in the previous stage as EXs or non-EXs,
some significant features which help ophthalmologists to visually distinguish EXs from other
types of lesions as well as the background needed to be extracted from each region and to be used
as inputs of SVM. In this way, prior knowledge was used to the classification task. We extracted
the following 24 features[16]: (1) Region size A
(2-4) Mean RGB values inside the region
R
µ ,
G
µ ,
B
µ (5-7) Standard deviation of the RGB values inside the region
R
σ ,
G
σ
,
B
σ (8-10) Mean RGB values around the region
N
R
µ
,
N
G
µ
,
N
B
µ 3.4. SVM classification stage SVM is a typically statistical learning method based on structural risk minimization [24], and it
has been successfully applied to many pattern recognition problems and the reader is referred to
for details [25]. 5 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 Consider a labelled two-class training set {
}
i
i y
x ,
,
n
i
,
,1 L
=
,
d
i
R
x ∈
,
{
}
1
,1 −
+
∈
iy
is the
associated “truth”. The separating hyperplane must satisfy the following constraint: 0
1
]
)
[(
≥
+
−
+
•
i
i
i
b
x
y
δ
ω
n
i
L
2,1
=
,
0
≥
iδ
(2) (2) Where ω is the weight vector, b is the bias,
iδ is the slack variable. In order to find the
optimal separating hyperplane, function (3) should be minimized subjected to function (2): Where ω is the weight vector, b is the bias,
iδ is the slack variable. In order to find the
optimal separating hyperplane, function (3) should be minimized subjected to function (2): (
)
(
)
+
•
=
∑
=
n
i
i
C
1
2
1
,
δ
ω
ω
δ
ω
φ
(3) (3) Where C is a parameter chosen by the user and controls the trade-off between maximizing the
margin and minimizing the training error. The classifier can be constructed as: Where C is a parameter chosen by the user and controls the trade-off between maximizing the
margin and minimizing the training error. The classifier can be constructed as: {
}
(
)
+
•
∂
=
+
•
=
∑
=
n
i
i
i
i
b
x
x
y
b
x
x
f
1
*
*
*
*
sgn
sgn
)
(
ω
(4) (4) Where
*
ω and
*
b denote the optimum values of the weight vector and bias respectively, and
*
i∂ is the Lagrange multiplier. Where
*
ω and
*
b denote the optimum values of the weight vector and bias respectively, and
*
i∂ is the Lagrange multiplier. 3.5. Postprocessing stage
[ In fundus images, there may be bright spots or bright points of physiological structures due to
reflection in the human fundus. The biggest difference between such false positive regions as
shown in figure 3 and EXs is that it usually exists in isolation, whereas EXs appear in clumps. In
order to improve the performance of this system, we regarded those images in which less than
0.01% of the total number of pixels had been detected as EXs as normal fundus. An example of
the false positive regions is shown in Fig. 3. Figure 3. False positive regions
4 RESULTS Figure 3. False positive regions Figure 3. False positive regions Figure 3. False positive regions Where
(
)
y
x
K
,
is the kernel function. Gaussian radial basis function is commonly used. Where
(
)
y
x
K
,
is the kernel function. Gaussian radial basis function is commonly used. 3.4. SVM classification stage SVM will map the input vector x into a high dimensional feature space by means of choosing a
nonlinear mapping kernel if a linear boundary being inappropriate. The optimal separating
hyperplane in the feature space can be given by function (5): (
)
+
•
∂
=
∑
=
n
i
i
i
i
b
x
x
K
y
x
f
1
*
*
sgn
)
(
(5) (5) (5) Where
(
)
y
x
K
,
is the kernel function. Gaussian radial basis function is commonly used. 4.1. System performance evaluation 4.1. System performance evaluation Now, there are no publicly available databases which can be used to test the performance of
automatic DR detection algorithm on fundus images [26]. The performance of the proposed 6 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 method was tested using our test set of 50 fundus images. This evaluation requires the parameter
of the algorithm to be previously settled using the training set. We varied the parameters and used
10-fold cross validation to assess the generalization ability of SVM. For each combination of the
parameters, we measured the mean sensitivity (
val
SE
), specificity (
val
SP
) and accuracy (
val
AC
)
obtained for the validation set, defined as follows: FN
TP
TP
+
=
val
SE
(6)
FP
TN
TN
+
=
val
SP
(7)
FN
FP
TN
TP
TN
TP
+
+
+
+
=
val
AC
(8) (6) (7) (8) Where TP is the number of classified EXs correctly, TN represents the number of exactly
classified non-EXs, FP is the number of non-EXs mistakenly classified as EXs and FN is the
number of EXs classified as non-EXs incorrectly. Where TP is the number of classified EXs correctly, TN represents the number of exactly
classified non-EXs, FP is the number of non-EXs mistakenly classified as EXs and FN is the
number of EXs classified as non-EXs incorrectly. Once all the parameters of the algorithm were fixed, we assessed the diagnostic accuracy of it on
the test set in terms of a lesion-based criterion and an image-based criterion which are defined as
follows : (1) Using a lesion-based criterion, we measured the mean
les
SE
and positive predict value
(
les
PPV
) which is given by (9) obtained for the test set. Specificity is not an informative measure
for the lesion-based criterion. PPV accounts for the probability that a detected region is really
an EX, and it was regarded as a more significant criterion to evaluate the system. (1) Using a lesion-based criterion, we measured the mean
les
SE
and positive predict value
(
les
PPV
) which is given by (9) obtained for the test set. Specificity is not an informative measure
for the lesion-based criterion. PPV accounts for the probability that a detected region is really
an EX, and it was regarded as a more significant criterion to evaluate the system. 4.1. System performance evaluation FP
TP
TP
+
=
les
PPV
(9) (9) (2) The image-based criterion accounted for the ability of the algorithm to detect pathological
images and separate them from normal ones in the test set due to the presence of EXs. Using the
image-based criterion, each images in the test set is classified as belong to a patient with DR or to
healthy subject. We used the image-based statistics mean sensitivity (
im
SE
), mean specificity
(
im
SP ) and mean accuracy (
im
AC
) to present the final results. The statistics are measured as
described in Eqs. (6)-(8). 4.2. Experimental results We coarsely segmented the training set of 70 fundus images with variable color, brightness and
quality using Otsu thresholding based on minimum inner-cluster variance. The segmentation
resulted in 2560 candidate regions consisting of 1150 EXs and 1410 non-EXs. We computed the 24 features for 2560 candidate regions and used SPSS 18.0 to perform LR on
these data. The inputs were normalized (mean = 0, standard deviation = 1) to insure that LR was
not influenced by the numerical strength of a feature rather than by its discriminatory power. The
following 10 features shown in Table 1 were selected and them were with the highest
discriminatory power for separating EXs from other non-EX yellowish objects. 7 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016
Table 1. Result of feature selection
Step
Parameters
Significance
Parameters
Significance
16
A
0.002
CP
0.000
R
µ
0.000
ES
0.000
N
R
µ
0.000
R
H
0.000
G
C
0.001
R
P
0.000
B
C
0.000
G
P
0.000 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016
Table 1. Result of feature selection SVM was used to classify candidate regions of EXs. At first, it must be specified by the obtained
candidate regions with 10 features. It is that specifying a SVM requires two parameters: the
kernel function and the regularisation parameter C . For training the SVM classifier, the
Kernel-Adatron technique using a Gaussian Radial Basis kernel was used. To obtain the optimal
values for the RBF kernel ( g ) and C , we experimented with different SVM classifiers with a
range of values. We apply genetic algorithm combined with 10-fold cross-validation to find the
best classifier on the base of validation error. Table 2 shows the optimal parameters of ( g ) and
C with the SVM classification structures. The specified SVM classification result of Fig. 2(c) is
shown in Fig. 2(d) which superimposed over the original image is shown in Fig. 2(e), and the
close-up of the detection result is shown in Fig. 2(f). Table 2. Validated parameters
Parameters
Result
C
g
val
SE
/%
val
SP
/%
val
AC
/%
2.39
1.25
95.13
98.01
96.72 Table 2. Validated parameters The proposed method was tested using a new set of 50 unseen fundus images: 28 belonged to
patients in early stages of DR and 22 corresponded to healthy retinas. 4.2. Experimental results Performances of different classifiers Classifier
Image-based criterion
Lesion-based criterion
im
SE
(%)
im
SP
(%)
im
AC
(%)
les
SE
(%)
les
PPV
(%)
SVM
100
90.9
96.0
95.05
95.37
RBF
100
90.9
96.0
93.9
95.5
Bayes
96.43
90.9
94.0
90.15
92.06 4.2. Experimental results The test set contained 50
images which were with variable color, brightness and quality. Using the specified SVM to
classify the candidate regions segmented by improved Otsu thresholding based on minimum
inner-cluster variance from 50 fundus images, the performance is shown in Table 3. And it is
stated that post processing excluded 2 images of false positive. In addition, the detection results of
these fundus images processed by the method proposed by Jaafar [14] are also shown in Table 3. It is found that the automated detection performance including accuracy and efficiency of the
method proposed in this paper is obviously superior to the one proposed by Jaafar. To assess the performance of the SVM we also classified our segmented candidate regions using
other classifiers including RBF classifier and Bayes classifier. In order to estimate the
generalisation error of all classifiers, a 10-fold cross-validation technique was used again. The
results were summarised in Table 4 which are the best results from a selection of configurations
used for training the classifiers. These results indicate that the diagnostic accuracy of SVM is the
best in RBF classifier and Bayes classifier. 8 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 201
Table 3. Detection result
Method
Image-based criterion
Lesion-based criterion
Efficiency
/s
im
SE
(%)
im
SP
(%)
im
AC
(%)
les
SE
(%)
les
PPV
(%)
Proposed
method
100
90.9
96.0
95.05
95.37
8.31
Jaafar
[14]
96.43
90.9
94.0
89.7
90.12
13.58
Table 4. Performances of different classifiers
Classifier
Image-based criterion
Lesion-based criterion
im
SE
(%)
im
SP
(%)
im
AC
(%)
les
SE
(%)
les
PPV
(%)
SVM
100
90.9
96.0
95.05
95.37
RBF
100
90.9
96.0
93.9
95.5
Bayes
96.43
90.9
94.0
90.15
92.06 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016
Table 3. Detection result International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016
Table 3. Detection result
Method
Image-based criterion
Lesion-based criterion
Efficiency
/s
im
SE
(%)
im
SP
(%)
im
AC
(%)
les
SE
(%)
les
PPV
(%)
Proposed
method
100
90.9
96.0
95.05
95.37
8.31
Jaafar
[14]
96.43
90.9
94.0
89.7
90.12
13.58
Table 4. Performances of different classifiers Table 4. 5. CONCLUSIONS AND DISCUSSION However, it may not yet be appropriate for clinic. So
it is significant that develop more efficient EXs automatic detection algorithm in the future. ACKNOWLEDGEMENTS We would like to thank Department of Ophthalmology, Jiangsu province hospital of TCM who
supplied all the images used in this project for its great support for the project. 5. CONCLUSIONS AND DISCUSSION Digital imaging is becoming available as means of screening for diabetic retinopathy because it
can provide a high quality permanent record of the retinal appearance which can be used for
monitoring of progression or response to treatment, and can be reviewed by an ophthalmologist. In other words, digital images have the potential to be processed by automatic analysis system. In this study, we developed a totally automatic method to detect EXs in fundus images taken from
diabetic patients or healthy people with non-dilated pupils. The fundus images were segmented by
improved Otsu thresholding based on minimum inner-cluster variance to obtain candidate regions
of EXs. In order to distinguish EXs from retinal background, the effectiveness of a set of 24
features of the candidate regions were examined and the subset with maximum discriminatory
power were selected , according to a LR analysis of our data.The optimum subset was used to
train a SVM classifier. The algorithm was tested on 22 images from healthy retinas and 28 images
of retinas with DR, with variable colour, brightness and quality. Furthermore, the result was
compared with the method proposed by Jaafar [14]. The
im
SE
in Table 3 shows that we detected all images with signs of DR. We also detected some
false positives in the images of healthy subjects, as the image-based
im
SP
demonstrates. However, the impact of wrongly classifying a person suffering from DR as a healthy subject is
more important than the converse. Javitt et al. suggested that a sensitivity of 60% or greater
maximized cost-effectiveness in screening for diabetic retinopathy in their health policy model
[27]. It means that increasing sensitivity of screening from 60% to 100% can not provided
additional benefit because of the frequency of screening as well as the likelihood that retinopathy
cases missed at one visit will be detected at the next. That means efficiency of automated detection is more important when detection accuracy is
adequate. For DR patients, the retinal lesions will be influenced by treatment, control and
progression of diabetes, i.e.. Therefore, only higher detection frequency is guaranteed, related
lesions of fundus can be founded in time. Higher detection frequency is guaranteed by efficient 9 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 automatic detection algorithm. The Efficiency in Table 3 of the proposed method is obviously
superior to the one proposed by Jaafar [14]. REFERENCES [1] Wild S(2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 20
Diabetes Care (27): 1047-1053 [2] Wong TY(2006) Diabetic retinopathy in a multi-ethnic cohort in the United States. Am J Ophthalmol
141: 446-55. [2] Wong TY(2006) Diabetic retinopathy in a multi-ethnic cohort in the United States. Am J Ophthalmol
141: 446-55. [3] Kristinsson JK(1997) Diabetic retinopathy, screening and prevention of blindness. A doctoral thesis. Acta Ophthalmol Scand Suppl (223):1-76 [3] Kristinsson JK(1997) Diabetic retinopathy, screening and prevention of blindness. A doctoral thesis. Acta Ophthalmol Scand Suppl (223):1-76 p
pp (
)
[4] Fagot-Campagna A(2007) Non-insulin treated diabetes: Relationship between disease management
and quality of care. The Entred study, 2001 quality of care. Rev Prat (57): 2209-2224 [4] Fagot-Campagna A(2007) Non-insulin treated diabetes: Relationship between disease management
and quality of care. The Entred study, 2001 quality of care. Rev Prat (57): 2209-2224 [5] Diabetes care and research in Europe(1990) The SaintVincent declaration. Diabet Med 7:360 [6] Niemeijer, M(2007) Automated detection and differentiation of drusen, exudates, and cotton-wool
spots in digital color fundus photographs for diabetic retinopathy diagnosis. Invest. Ophthalmol. Vis. Sci. 48(5): 2260-2267 [6] Niemeijer, M(2007) Automated detection and differentiation of drusen, exudates, and cotton-wool
spots in digital color fundus photographs for diabetic retinopathy diagnosis. Invest. Ophthalmol. Vis. Sci. 48(5): 2260-2267 ] Klein, R(1987) The Wisconsin epidemiologic study of diabetic retinopathy VII. Diabetic
nonproliferative retinal lesions. Ophthalmology 94:1389-1400 [8] Ward N P(1989) The detection and measurement of exudates associated with diabetic retinopathy. Ophthalmology, 96(1): 80-86 [9] Phillips R P(1993) Automated detection and quantification of retinal exudates. Graefe’s Archive for
Clinical and Experimental Ophthalmology 231: 90-94 [10] Sinthanayothin C(1999) Image analysis for automatic diagnosis of diabetic retinopathy. PhD thesis,
King’s College London. [11] Li H(2002) A model based approach for automated feature extraction in color fundus images. PhD
thesis, Nanyang Technological University [12] Walter
T(2002)
A
Contribution
of
Image
Processing
to
the
Diagnosis
of
Diabetic
Retinopathy-Detection of Exudates in Color Fundus Images of the Human Retina. IEEE Transactions
on Medical Imaging 21:1236-1243 g g
[13] S´anchez C I(2008) A novel automatic image processing algorithm for detection of hard exudates
based on retinal image analysis. Medical Engineering and Physics, Elsevier, 30: 350-357 [14] Jaafar H F(2010) Automated detection of exudates in retinal images using a split-and-merge
algorithm. 18th European Signal Processing Conference. REFERENCES Aalborg, Denmark:EUSIPCO, 1622-1626
[15] Gardner GG (1996) Automatic detection of diabetic retinopathy using an artificial neural network: a [14] Jaafar H F(2010) Automated detection of exudates in retinal images using a split-and-merge
algorithm. 18th European Signal Processing Conference. Aalborg, Denmark:EUSIPCO, 1622-1626
[15] Gardner GG.(1996) Automatic detection of diabetic retinopathy using an artificial neural network: a
screening tool. Br. J. Ophthalmol. 80: 940-944 [15] Gardner GG.(1996) Automatic detection of diabetic retinopathy using an artificial neural networ
screening tool. Br. J. Ophthalmol. 80: 940-944 [16] Ege BM(2000) Screening for diabetic retinopathy using computer based image analysis and statistical
classification. Comput. Methods Programs Biomed 62 165-175 [17] Osareh, A(2004) Automatic identification of diabetic retinal exudates and the optic disc. Ph. D thesis,
Bristol [18] Mir HS(2011) Assessment of Retinopathy Severity Using Digital Fundus Images. The First Middle
East Conference on Biomedical Engineering, Sharjah, UAE [19] Osareh A(2003) Automated identification of diabetic retinal exudates in digital colour images. Br J
Ophthalmol 87(10):1220-1223 0] Zhou YY(2007) Improved Otsu thresholding based on minimum inner-cluster variance. J. Huazhong
Univ. of Sci. & Tech. (Nature Science Edition) 35(2): 101-103 [21] Loew MH(2000) Feature Extraction. in Handbook of Medical Imaging. Bellingham, WA: SPIE Press,
273–341 [22] Hosmer, D W(2000) Applied Logistic Regression. New York: John Wiley, 307:1989. 10 International Journal of Computer Science & Engineering Survey (IJCSES) Vol.7, No.1, February 2016 [23] Xu L(2005) Comparisons of logistic regression and artificial neural network on power distribution
systems fault cause identification. Proc. 2005 IEEE Mid-Summer Workshop on Soft Computing in
Industrial Applications, Washington, DC 128-131 [24] Burges CJC(1998) A tutorial on support vector machines for pattern recognition. Data mining and
knowledge discovery 2(2): 121-167 g
y ( )
[25] Zhang YL (2005) Automated defect recognition of C-SAM images in IC packaing using Support
Vector Machines. International Journal of Advanced Manufacturing Technology 25: 1191-1196 [26] Sa´nchez CI(2007) A novel automated image processing algorithm for detection of hard exudates
based on retinal images analysis. Med. Eng. Phys 30(3): 350-357 [27] Javitt JC(1990) Detecting and treating retinopathy in patients with type I diabetes mellitus. A health
policy model. Ophthalmology 97: 483-494 AUTHOR My name is Gao Weiwei, and I am a teacher in Shanghai University of Engineering
Science. I received my Master degree and Doctor's degree in Nanjing University of
Aeronautics and Astronautics. I major in the technology of digital medical equipment. My
research interests include medical image processing, Biomedical information analysis and
processing, pattern recognition and so on. Specifically, I do research on medical image
segmentation technology which was applied to automated screening of diabetic
retinopathy. 11
|
https://openalex.org/W4361833670
|
https://figshare.com/articles/journal_contribution/Supplementary_Figure_2_from_Prediction_and_Genetic_Demonstration_of_a_Role_for_Activator_E2Fs_in_Myc-Induced_Tumors/22390647/1/files/39836178.pdf
|
English
| null |
Supplementary Figure 3 from Prediction and Genetic Demonstration of a Role for Activator E2Fs in Myc-Induced Tumors
| null | 2,023
|
cc-by
| 39
|
E2F2
E2F1
E2F3
0.1
0.9
0.2
0.8
0.7
0.6
0.5
0.4
0.3
Pathway Probability E2F2
E2F1
E2F3
0.1
0.9
0.2
0.8
0.7
0.6
0.5
0.4
0.3
Pathway Probability 0.1
0.9
0.2
0.8
0.7
0.6
0.5
0.4
0.3
Pathway Probability
|
https://openalex.org/W3038039599
|
https://www.frontiersin.org/articles/10.3389/frobt.2020.00090/pdf
|
English
| null |
Collective Computation in Animal Fission-Fusion Dynamics
|
Frontiers in robotics and AI
| 2,020
|
cc-by
| 12,392
|
Gabriel Ramos-Fernandez 1,2*, Sandra E. Smith Aguilar 3, David C. Krakauer 4 and
Jessica C. Flack 4 1 Departamento de Modelación Matemática de Sistemas Sociales, Instituto de Investigaciones en Matemáticas Aplicadas y
en Sistemas, Universidad Nacional Autónoma de México, Ciudad de México, Mexico, 2 Unidad Profesional Interdisciplinaria
en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional, Ciudad de México, Mexico, 3 Conservación Biológica y
Desarrollo Social A.C., Ciudad de México, Mexico, 4 Santa Fe Institute, Santa Fe, NM, United States Recent work suggests that collective computation of social structure can minimize
uncertainty about the social and physical environment, facilitating adaptation. We explore
these ideas by studying how fission-fusion social structure arises in spider monkey
(Ateles geoffroyi) groups, exploring whether monkeys use social knowledge to collectively
compute subgroup size distributions adaptive for foraging in variable environments. We
assess whether individual decisions to stay in or leave subgroups are conditioned on
strategies based on the presence or absence of others. We search for this evidence
in a time series of subgroup membership. We find that individuals have multiple
strategies, suggesting that the social knowledge of different individuals is important. These stay-leave strategies provide microscopic inputs to a stochastic model of collective
computation encoded in a family of circuits. Each circuit represents an hypothesis for
how collectives combine strategies to make decisions, and how these produce various
subgroup size distributions. By running these circuits forward in simulation we generate
new subgroup size distributions and measure how well they match food abundance in
the environment using transfer entropies. We find that spider monkeys decide to stay or
go using information from multiple individuals and that they can collectively compute a
distribution of subgroup size that makes efficient use of ephemeral sources of nutrition. We are able to artificially tune circuits with subgroup size distributions that are a better fit
to the environment than the observed. This suggests that a combination of measurement
error, constraint, and adaptive lag are diminishing the power of collective computation
in this system. These results are relevant for a more general understanding of the
emergence of ordered states in multi-scale social systems with adaptive properties–both
natural and engineered. ORIGINAL RESEARCH
published: 21 July 2020
doi: 10.3389/frobt.2020.00090 Keywords: social systems, distributed computing, inductive game theory, social information, animal foraging,
collective intelligence Edited by:
Daniel Polani,
University of Hertfordshire,
United Kingdom Reviewed by:
Deborah M. Gordon,
Stanford University, United States
Matthew Lutz,
Max Planck Institute of Animal
Behaviour, Germany
Heiko Hamann,
University of Lübeck, Germany Reviewed by:
Deborah M. Gordon,
Stanford University, United States
Matthew Lutz,
Max Planck Institute of Animal
Behaviour, Germany
Heiko Hamann,
University of Lübeck, Germany *Correspondence:
Gabriel Ramos-Fernandez
ramosfer@alumni.upenn.edu Specialty section:
This article was submitted to
Computational Intelligence in
Robotics,
a section of the journal
Frontiers in Robotics and AI Keywords: social systems, distributed computing, inductive game theory, social information, animal foraging,
collective intelligence Received: 31 October 2019
Accepted: 05 June 2020
Published: 21 July 2020 Collective Computation in Animal
Fission-Fusion Dynamics Gabriel Ramos-Fernandez 1,2*, Sandra E. Smith Aguilar 3, David C. Krakauer 4 and
Jessica C. Flack 4 Citation: This can then
function like an information bottleneck (Tishby et al., 2000;
Tishby and Zaslavsky, 2015; Flack, 2017a): the strategies, as
coarse-grainings, capture regularities individuals perceive in the
physical or social environment. The way individuals combine
strategies to make decisions in the collective captures the
regularities they perceive as most important. Emergent from
these slowly changing mesoscopic individual strategies and
collective metastrategies is social structure. As a social structure
consolidates and individuals start to “reference it” for decision-
making, it feeds back through effective downward causation
(Flack, 2017a) to modulate the cost of social interaction or
interaction with the environment. Once complete, this process
can give rise to a new scale, and under suitable conditions,
novel functions. Fission-fusion social dynamics, in which individuals fission
and fuse into subgroups of varying size, is a collective pattern
arising from individual decisions (Sueur et al., 2011; Ramos-
Fernández et al., 2018). These dynamics are thought to be
adaptive, as they allow individuals to forage more efficiently
in heterogeneous environments, share information about the
location of resources, and adjust the size of their subgroups
to resource availability (Aureli et al., 2008; Sueur et al., 2011;
Palacios-Romo et al., 2019). The individual, strategic decisions to
leave or join subgroups, how these decisions influence subgroup
size distributions, and whether these are a good fit or even
predicted by environmental states, are open questions. Previous
work on spider monkeys suggests individuals change their
strategies based on environmental states to include the rate at
which they encounter fruit and the presence of knowledgeable
individuals in social networks (Ramos-Fernández and Morales,
2014; Palacios-Romo et al., 2019). We
study
how
individual
spider
monkeys
use
social
knowledge (information accumulation) to collectively compute
adaptive subgroup size distributions (information aggregation). We use inductive game theory (DeDeo et al., 2010; Krakauer
et al., 2010) to extract stay-leave probabilistic strategies from a
time series of subgroup composition. The strategies constitute
the microscopic input to the collective computation. From
the microscopic input we construct a family of circuits in
which nodes correspond to individuals and edges, weighted by
probabilities obtained from the data, specify probabilistic rules—
strategies—for remaining in or leaving a subgroup. Circuits
capture variation in the way individuals integrate over their
strategies (see section 3) to decide to stay or go. To
make
this
concrete,
consider
as
an
example
the
collective computation of power structure in macaque societies
(reviewed in Flack, 2012, 2017a). Citation: Ramos-Fernandez G, Smith
Aguilar SE, Krakauer DC and Flack JC
(2020) Collective Computation in
Animal Fission-Fusion Dynamics. Front. Robot. AI 7:90. doi: 10.3389/frobt.2020.00090 In an influential framework for studying animal social organization, Hinde (1976) stressed
that both animal and human societies are multiscale. Short-term interactions between pairs of
individuals lead to longer-term social relationships and social structures, with social relationships
arising as individuals generalize from a history of social interactions. Hinde noted that individuals July 2020 | Volume 7 | Article 90 Frontiers in Robotics and AI | www.frontiersin.org Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. classify social relationships into types (kin, matriline, etc.)
regardless of the individuals involved. The idea that primates use
abstraction to make sense of their world has been shown in a
number of studies subsequent to Hinde (1976) (e.g., Cheney and
Seyfarth, 1990, 2008). classify social relationships into types (kin, matriline, etc.)
regardless of the individuals involved. The idea that primates use
abstraction to make sense of their world has been shown in a
number of studies subsequent to Hinde (1976) (e.g., Cheney and
Seyfarth, 1990, 2008). Among other examples in the animal behavior literature
that might result from collective computation are coordinated
foraging and predator avoidance in animal groups (Couzin
et al., 2003; Gordon, 2016; Sosna et al., 2019), rapid direction
changes during collective motion in fish schools and bird flocks
(Hein et al., 2015), and distributed foraging in social insects
(Gordon, 2016). Over a series of papers, Flack et al. (Flack, 2012, 2017a,b;
Flack et al., 2013; Daniels et al., 2017; Brush et al., 2018) have
been developing a theory of collective computation (inspired
in part by Hopfield’s collective computation in neural networks
Hopfield, 1982, 1984; Tank and Hopfield, 1988). In the context
of animal behavior, this work links Hinde’s (1976) generalization
and abstraction processes to the formation of collectives. In Flack
and Krakauer’s formulation, components (for the purposes of this
paper, individuals) reduce uncertainty about the environment or
state of a system by coarse-graining fast microscopic behavior
(Flack, 2017a). An example of uncertainty reduction would be
over the cost of social interaction (Flack, 2012). When coarse-
grainings converge (meaning the estimates of regularities are
largely shared by individuals), this can produce a coherent
mesoscale (e.g., a social network or circuit). Citation: Individuals summarize
fight histories using unidirectional signals. The sender emits
the signal once it perceives it is likely to loose a fight. The signal reduces uncertainty in the receiver that the
sender agrees to subordination—willingness to yield in future
interactions. Encoded in the consolidating network or circuit
of signals between group members is information about
the distribution of power. Hence the power structure is
computed as individuals estimate regularities about fighting
abilities and share these opinions with the receiver and other
group members via signals. Through this process, different
levels of organization arise at successively slower timescales:
fights (fast), signaling (slow), and power structure (slowest). The process of generating coarse-grained, slow variables (the
signals, properties of the circuits) is the outcome of individual
strategic computations (interaction and signaling decisions)
that aggregate into an output collectively estimated to fit
the state of the environment (Flack, 2017a,b). This two-
part process of information accumulation and aggregation
makes up collective computation (Daniels et al., 2017; Flack,
2017a). Each circuit serves as a mesoscopic hypothesis for how
strategies combine to produce decisions and how decisions
combine
to
compute
subgroup
size
distributions. In
a
computational language, the inputs (individual strategies)
combine to produce an output (a subgroup size distribution). We run the circuits forward in simulation to determine how
individuals combine strategies and hence how many information
sources they take into account to make decisions. We construct
a food abundance index based on the size and abundance
of fruiting trees and calculate the transfer entropy between
this index and the distribution of subgroup size in order to
determine whether the circuit that best recovers the observed
subgroup size distribution is also optimally computing the state
of the environment. Frontiers in Robotics and AI | www.frontiersin.org 2. DATA Subgroup composition data were collected in Punta Laguna,
Yucatan, Mexico, as part of a long-term study of social behavior Frontiers in Robotics and AI | www.frontiersin.org July 2020 | Volume 7 | Article 90 2 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. FIGURE 1 | Our dataset samples the process of fission-fusion dynamics in the entire group Each row with colored circles on the top of the figure represents how the FIGURE 1 | Our dataset samples the process of fission-fusion dynamics in the entire group. Each row with colored circles on the top of the figure represents how the
47 individuals that conform the spider monkey group are sorted into subgroups at a given moment, with each color indicating subgroup membership. Thus, in the first
row or time step represented, the group is organized in 9 different subgroups and, throughout the remaining steps, subgroups change size and memberships by
individuals leaving (fission) and joining (fusion). Our sample includes only one subgroup followed at any time, so we have information on the presence or absence of
each group member on the observed subgroup. For example, the bottom part of the figure shows observations from one subgroup (turquoise dots on the top). Here,
rows represent 5 instantaneous scan samples taken every 20’ on individuals 17 thru 23, where each individual can be either present (full circles) or absent (empty
circles). In this case, the subgroup shows a fission of two individuals in the third scan and the fusion of three at the fifth scan. For analysis, we coded data as binary
vectors corresponding to each scan sample. Frontiers in Robotics and AI | www.frontiersin.org 3. MICROSCOPIC STRATEGY
EXTRACTION AND DISTRIBUTION using identified individuals (details about study site and subjects
can be found in the Supplementary Information). Data consist
of scan samples of subgroup composition, taken every 20’ during
an average of 5 h. per day throughout 2 years (Jan. 2013–Dec. 2014), for a total of 5,780 scan samples. A total of 47 known
adult, sub-adult and juvenile individuals were observed during
this period (see Supplementary Table 1). Thus, each sample is a
vector of 47 binary digits, with 0 corresponding to an absence
of the individual in the ith position and 1 corresponding to a
presence (Figure 1). Continuous series of scans, averaging 8.4
scan samples (± 3.9 SD), include uninterrupted follows of a
subgroup in which at least one individual remained during the
full series. Given that the typical duration of a subgroup is 1.5 h. (Pinacho-Guendulain and Ramos-Fernández, 2017), a subgroup
may persist over multiple scans. The temporal resolution of
this sampling regime was maintained in the analysis in order
to obtain a sufficient number of continuous series of scans. Had we resampled the original dataset at a larger temporal
scale, we would have lost an important number of continuous
series. Also, the persistence of a subgroup over several scans
implies that individuals in a subgroup are tolerating one another,
which is informative about the weight of their mutual influence
(see below). using identified individuals (details about study site and subjects
can be found in the Supplementary Information). Data consist
of scan samples of subgroup composition, taken every 20’ during
an average of 5 h. per day throughout 2 years (Jan. 2013–Dec. 2014), for a total of 5,780 scan samples. A total of 47 known
adult, sub-adult and juvenile individuals were observed during
this period (see Supplementary Table 1). Thus, each sample is a
vector of 47 binary digits, with 0 corresponding to an absence
of the individual in the ith position and 1 corresponding to a
presence (Figure 1). Continuous series of scans, averaging 8.4
scan samples (± 3.9 SD), include uninterrupted follows of a
subgroup in which at least one individual remained during the
full series. Given that the typical duration of a subgroup is 1.5 h. (Pinacho-Guendulain and Ramos-Fernández, 2017), a subgroup
may persist over multiple scans. The temporal resolution of
this sampling regime was maintained in the analysis in order
to obtain a sufficient number of continuous series of scans. 3. MICROSCOPIC STRATEGY
EXTRACTION AND DISTRIBUTION Had we resampled the original dataset at a larger temporal
scale, we would have lost an important number of continuous
series. Also, the persistence of a subgroup over several scans
implies that individuals in a subgroup are tolerating one another,
which is informative about the weight of their mutual influence
(see below). We distinguish between strategies and decisions. A decision is
binary: to leave or stay in a subgroup (in the original inductive
game theory work, to join or avoid a fight, DeDeo et al., 2010). Strategies (called 1P, as in previous work, DeDeo et al., 2010) are
“above-null” probabilities (see below for calculation) describing
the weight of individual A’s presence or absence in the current
subgroup (as determined by scan sampling, see section 2) on
individual B’s decision to stay or go from the subgroup in the
subsequent sample. Here and in previous work (DeDeo et al.,
2010), multiple individuals can influence individual B. Hence B
will have multiple strategies and, in the limit, a strategy for every
other group member. We address how B integrates strategies to
reach a decision in section 4. Here we quantitatively describe
how we define and extract strategies from the time series. We
end up with a list of pair-wise strategies for which our extraction
method indicates above-null support in the time series. We do
not consider higher order strategies as in DeDeo et al. (2010). For all pairs of individuals {A:B, A:C, A:D,...}, we calculate the
probability an individual B is present or absent in a sample if
individual A was present in the previous sample within the same
continuous series of scans: The raw data supporting the conclusions of this manuscript
will be made available by the authors, without undue reservation,
to any qualified researcher. P(A →B) = N(Bt+1 | At)
N(A)
,
(1) (1) Frontiers in Robotics and AI | www.frontiersin.org July 2020 | Volume 7 | Article 90 3 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. FIGURE 2 | Frequency distribution of the values of 1P for the different combinations of dyadic weights, as defined in Equations (2) and (4) (A,B) and for the total sum
of the incoming weights that each individual receives (C,D; this is the in-strength of nodes in Figure 3). 3. MICROSCOPIC STRATEGY
EXTRACTION AND DISTRIBUTION The values of 1P(A →B) have a wider distribution around
zero, with correspondingly higher total values of in-strength, than in the case of 1P(!A →B). FIGURE 2 | Frequency distribution of the values of 1P for the different combinations of dyadic weights, as defined in Equations (2) and (4) (A,B) and for the total sum
of the incoming weights that each individual receives (C,D; this is the in-strength of nodes in Figure 3). The values of 1P(A →B) have a wider distribution around
zero, with correspondingly higher total values of in-strength, than in the case of 1P(!A →B). where N(Bt+1 | At) is the total number of times B was present at
time t+1 given that A was present at time t within a continuous
series of scans and N(A) is the number of times A was present in
all samples. where N(Bt+1
|!At) is the number of times B is present in
a sample when A is absent in the previous sample within a
continuous series of scans, N(!A) is the number of times A is
absent in all samples, and Nnull(Bt+1 |!At) is the average of the
same number for 1,000 bootstrapped versions of the original data. As with previous work (DeDeo et al., 2010), to remove
time-independent effects from the transition probabilities (for
example, due to general differences in gregariousness), we
calculate the difference between the probability inferred from the
data and a null expectation: These 1P constitute the pair-wise weight of each group
member on a given individual’s binary decision to leave or
join a subgroup. Figure 2 shows the frequency distribution of the values of 1P
as defined in Equations (2) and (4). In all cases values are centered
around zero, with the values of 1P(!A →B) closer to zero
than in other cases. This is because the denominator in Equation
(4) is larger than in Equation (2), as it includes all instances of
individual A being absent from the observed scan. There are
proportionally fewer cases in which B is present after an absence
of A because there are many cases where A is absent. Thus, these
values of 1P(!A →B) should be interpreted with care. It is also
the case that most values of the total sum of weights received are
positive. In other words, most individuals receive a total positive
weight from the presence or absence of strategically connected
individuals. 3. MICROSCOPIC STRATEGY
EXTRACTION AND DISTRIBUTION Only a few cases show a total negative weight of the
presence or absence of others. 1P(A →B) = N(Bt+1 | At) −Nnull(Bt+1 | At)
N(A)
,
(2) (2) where Nnull(Bt+1 | At) is the average number of times B is present
at time t+1 given that A is present at time t within a continuous
series of scans, calculated from 1,000 bootstrapped permutations
of the data. Similarly, we consider the weight of A’s absence on the
presence of another individual B in a subsequent sample: P(!A →B) = N(Bt+1 |!At)
N(!A)
,
(3) (3) We identified significantly positive dyadic weights as values
of 1P higher than the 95% percentile of the permuted values
for each dyad. Accordingly, significantly negative dyadic weights
were values of 1P lower than the 5% percentile of the permuted
values for each dyad. and and 1P(!A →B) = N(Bt+1 |!At) −Nnull(Bt+1 |!At)
N(!A)
,
(4) (4) July 2020 | Volume 7 | Article 90 Frontiers in Robotics and AI | www.frontiersin.org Frontiers in Robotics and AI | www.frontiersin.org Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. 4. MESOSCOPIC CIRCUIT
CONSTRUCTION Only one individual (female BL) had a negative in-strength
value, implying that it received a total negative 1P(A →B)
higher than the total positive 1P(A →B). FIGURE 3 | Circuits showing the strategies (significant, pairwise negative and
positive weights) extracted from the data and as defined in Equations (2)
(upper panel, 1P(A →B)) and (4) (lower panel, 1P(!A →B)). Nodes
correspond to individuals indicated by two-letter codes and their shape
represents females (circles) and males (squares). Only for the purposes of this
visualization we removed the 11 juvenile individuals, who do not move
independently of their mothers. However, they were included in the analyses of
1P values. Edges correspond to significant 1P values, of a width proportional
to their value. Each circuit employs a different range of 1P values, as
1P(A →B) values range from −0.00076 to 0.3 and 1P(!A →B)) values from
−0.00033 to 0.00315 (see Figure 2). Node size is proportional to the
in-strength of the node, i.e., the total significant weight from others as defined
by the sum of the incoming 1P values. Node color corresponds to whether
the node has a positive (blue) or negative (purple) in-strength. The color of
edges corresponds to negative (red) and positive (gray) values. g
p
The circuit for 1P(!A
→
B) shows a different picture
(lower panel in Figure 3). Here values were skewed below
zero, although overall they were much closer to zero than
the values of 1P(A →B) (Figure 2). Even considering that
the variation around zero is small, this circuit contains both
positive and negative weights, corresponding to repulsion and
attraction, respectively, but the most important links are negative
or attractive. There is, as in the previous circuit, evidence of
some degree of homophily, with individuals of the same sex
influencing each other through negative links more than those
of the opposite sex. Conversely, a high proportion of positive or
repulsive links occur between the sexes. Both males and females
have high values of in-strength, although those with a negative
in-strength (receiving many negative, attractive weights) in this
circuit were all females. Individuals with the highest values of positive in-strength (corresponding to a total sum of positive or
repulsive weights in this network) were males. Each individual can have multiple strategies, and they can be
in conflict (DeDeo et al., 2010), with some weights positive and
others negative. Frontiers in Robotics and AI | www.frontiersin.org 4. MESOSCOPIC CIRCUIT
CONSTRUCTION We use the strategies obtained from the data to construct circuits
(i.e. the set of all significant 1P values as weights between all pairs
of individuals; this is the mesoscopic level of our analysis) each of
which is a hypothesis for (1) how individuals integrate over their
strategies to arrive at a binary decision to join or leave a subgroup
and, (2) specify how the resulting decisions combine to produce
the distribution of subgroup size. The circuits in Figure 3 give a
qualitative summary of significant strategies. For each individual,
there are 46 potential weights (significant 1P values) from either
the presence or absence of others at scan time t, which could
determine its presence or absence at scan time t + 1. The circuits
in Figure 3 show only 31 individual nodes for 1P(A →B) and
36 for 1P(!A →B), who were involved in significant weights. On average, each individual in these circuits is linked to 20.25
(± 1.98 SE) other individuals in the 1P(A →B) and to 31.67
(± 1.40 SE) in the 1P(!A →B) circuit (Figure 3). Similarly,
whereas each of the circuits in Figure 3 could have up to 1,260
links, the 1P(A →B) circuit has 314 and the 1P(!A →B)
circuit 570 links. Supplementary Figure 1 shows the values of
all significant weights included in these circuits, as well as the
individual instrength and outstrength. The circuit for 1P(A
→
B) (upper panel in Figure 3)
represents significant weights of the presence of individual A
at scan t on the presence of individual B at scan t + 1. Most
of the values of 1P(A →B) were positive or close to zero
(see Figure 2A), therefore this circuit contains mostly positive
weights (gray links), corresponding to weights of attraction. There is an apparent homophily by sex in this circuit, with
individuals influencing other individuals of the same sex more
than those of the other. Other attractive interactions are those
between some pairs of adult females and their subadult daughters
(e.g., females VE-VI and JA-LX in the upper panel of Figure 3,
CH-LO and ME-KL in the lower panel). Individuals differ in their
in-strength values (as can be observed in Figure 2B) with the
individuals with the highest values of in-strength receiving many
different weights, some with high values of 1P, both females and
males. 4. MESOSCOPIC CIRCUIT
CONSTRUCTION In the lower panel, each individual arrives to its own
value of P 1P, which will determine its presence or absence from the subgroup at time t + 1, depending on the values of U and L. A sum of 1Ps greater than U or
smaller than L could lead an individual to either maintain (e.g., B was absent in time t and its P 1P is below L, leading to its absence in t + 1) or change its previous
state (e.g., C was present in time t and P 1P is below L, leading to its absence in t + 1). to join or leave the subgroup. Figures 2B,D show frequency
histograms for these incoming values, corresponding to the in-
strength of the nodes in Figure 3. These in-strength values can be
understood as the likelihood that an individual will be influenced
by others: an individual with a high in-strength is more likely to
decide to be present due to another individual’s presence (in the
case of 1P(A →B) values, upper panel in Figure 3) or absence
(in the case of 1P(!A →B) values, lower panel in Figure 3) than
another individual with a lower in-strength. and the 1P(!A →B) values, such that an individual would be
integrating the weights it receives across both circuits shown in
Figure 3. At higher values of U, the presence of an individual in a
subgroup is less likely to be influenced by others. In that sense,
high values of U imply less interdependence of individuals in
their decisions to be present or not in a subgroup. Conversely,
L controls the opposite end of the range of values of P 1P, such
that at more negative values of L, an individual should be less
likely to be absent from a subgroup due to the previous weight
from others. We tested U = {0.0001, 0.001, 0.01, 0.1, 0.2, ..., 0.9}
and L = {−0.9, −0.8, ..., −0.1, −0.01, ..., −0.00001}. We further assume that at any given time t, if the sum of
significant 1P values P 1P directed toward an individual B is
positive and greater than a threshold U, B will be present on the
sample at t+1 (irrespective of whether it was present or absent in
the previous sample; Figure 4). Frontiers in Robotics and AI | www.frontiersin.org 4. MESOSCOPIC CIRCUIT
CONSTRUCTION In addition, the weight or importance (given by
1P) of each strategy varies. Hence individuals must integrate
over their set of strategies to make a decision about whether July 2020 | Volume 7 | Article 90 5 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. FIGURE 4 | Example of rules by which individuals integrate incoming weights to decide their state at scan t + 1. In the upper panel, an individual B integrates
incoming weights using a decision rule. If B, who is not present in the focal subgroup at scan t, receives a significant weight 1P from the presence of A on its
presence at scan t + 1, while receiving another significant weight from individual D’s absence on its presence, B will integrate both weights by a simple sum. If this
sum P 1P is above a certain threshold U, B will decide to join a subgroup where it was not present at time t. In the lower panel, each individual arrives to its own
value of P 1P, which will determine its presence or absence from the subgroup at time t + 1, depending on the values of U and L. A sum of 1Ps greater than U or
smaller than L could lead an individual to either maintain (e.g., B was absent in time t and its P 1P is below L, leading to its absence in t + 1) or change its previous
state (e.g., C was present in time t and P 1P is below L, leading to its absence in t + 1). FIGURE 4 | Example of rules by which individuals integrate incoming weights to decide their state at scan t + 1. In the upper panel, an individual B integrates
incoming weights using a decision rule. If B, who is not present in the focal subgroup at scan t, receives a significant weight 1P from the presence of A on its
presence at scan t + 1, while receiving another significant weight from individual D’s absence on its presence, B will integrate both weights by a simple sum. If this
sum P 1P is above a certain threshold U, B will decide to join a subgroup where it was not present at time t. 5. TESTING CIRCUITS IN SIMULATION analyses in that work suggest these triadic strategies are non-
decomposible into two pair-wise strategies (i.e., not reducible to
additive individual or pair-wise interactions; Daniels et al., 2016;
Chen et al., 2019). Individuals typically had multiple higher-
order strategies and so, as with pair-wise, higher-order strategies
were pushed through gates to produce binary decisions. Here
we allow for the possibility that individuals take into account
multiple strategies and hence be under the influence of multiple
individuals, but we do not explore whether the interactions are
pair-wise or higher-order. Here we assess how individuals integrate strategies to make
decisions 1P and how decisions combine to compute the
subgroup size distribution. We do so by asking which circuit,
given an integration threshold, produces a simulated data set with
a distribution of subgroup size that best recovers the observed
one. We used each set of 100 simulated datasets with different
values of U to evaluate the set of subgroup size distributions that
is in closest correspondence to the observed. We only show the
effects of varying U at L = −0.00001, since the variation in L
for any value of U does not have an effect on the subgroup size
distribution. This is likely because values of P 1P are mostly
positive (Figures 2C,D), so very few values are below the L
threshold. In other words, even the smallest negative value of
L has no effect on the tendency of individuals to modify their
presence based on the presence or absence of others. We use these circuits to generate, by simulation, new datasets
from the original dataset. In what follows, we restricted our
analyses and simulations to a subset of the original dataset that
included the same months for which food abundance data was
available (Sep. 2013–Sep. 2014; see section 6), corresponding to
3,032 scan samples. We started by randomly choosing a scan
sample (subgroup) that serves as the “seed” or first scan of a
sequence of n samples, where n is randomly drawn from the
frequency distribution of the number of samples per continuous
observation period in the original biweekly period. Thus, the
seed establishes which of the 47 monkeys in the group are
present or absent in the first sample. Because the seed and the
duration of continuous observation periods are selected within
observation periods, simulated data contain information about
the variation in subgroup size and composition between bi-
weekly periods. 4. MESOSCOPIC CIRCUIT
CONSTRUCTION Conversely, if P 1P is negative
and smaller than a threshold L, individual B will be absent from
the following sample (again, independently of whether it was
present or absent in the previous sample). However, if L <
P 1P < U, then there is no effect from others and B remains
in the same state as in the previous sample (i.e., present if it was
present at time t, absent if it was absent; Figure 4). Thus, U is
a threshold parameter controlling how likely it is for individuals
to be present in a subgroup based on the weight of others. The
value L controls the opposite, i.e., how likely it is that individuals
will be absent in a subgroup based on the weight of others. Note that the total sum P 1P includes both the 1P(A →B) Different individuals could actually be using a different value
of the U and L thresholds, or the values could change over time,
depending on slower ecological variables such as the dry and
wet seasons or even longer timescales related to the ecological
succession of the forest in the spider monkey’s habitat. In this
work we assume, as a first approximation, a single value of the
threshold parameters for all individuals and seasons. There are also subtle points here concerning how strategies
are aggregated by individuals to produce binary decisions. In
previous work (DeDeo et al., 2010), higher order (triadic—C
only joins current fight if both A and B were present in the
previous fight) as well as pair-wise strategies (A joins if B was
previously present) were extracted from time series data and
a circuit was constructed for each strategy class. Preliminary July 2020 | Volume 7 | Article 90 6 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. FIGURE 5 | Subgroup size distribution for the original dataset (black thick line) and for the simulated datasets. Lines of a given color correspond to the resulting
distribution from 100 repetitions using different values of U, with L= −0.00001. FIGURE 5 | Subgroup size distribution for the original dataset (black thick line) and for the simulated datasets. Lines of a given color correspond to the resulting
distribution from 100 repetitions using different values of U, with L= −0.00001. Frontiers in Robotics and AI | www.frontiersin.org 5. TESTING CIRCUITS IN SIMULATION If an individual A is present in the first scan,
the simulation looks at values of 1P(A →B) and considers
any significant values or weights of A on others. If, on the
contrary, A is not in the seed, then the simulation looks for
significant values of 1P(!A
→
B). This applies to all 47
individuals. For values of U
=
0.4 and above the subgroup size
distribution from simulated datasets is similar to the observed
(Figure 5). Values of U < 0.4 generate distributions where
small subgroups are underrepresented and larger subgroups are
overrepresented. This is due to the fact that, at lower values of
U, individuals are more likely to be influenced by others, both
through the significant values of 1P(A →B) and 1P(!A →B). The former dominate the dynamics of subgroup size change
because they have higher and positive values overall (Figure 2). Thus, when U < 0.4, individuals are aggregating more frequently,
deciding to join subgroups at higher frequency as in the observed
data. Values of U < 0.4 give rise to subgroups converging at a
single size for each value of U (Figure 5). This may be due to
all individuals deciding to join subgroups, even those without
significant weights, as must be the case in subgroups larger than
36, the number of nodes in the largest network in Figure 3
that depicts all individuals that are involved in significant
weights. These rules are used to determine subgroup composition of
the n samples in the continuous observation period. This is
repeated for 633 sequences, corresponding to the number of
continuous observation periods in the original dataset. In total,
we generated 100 simulated datasets for each combination of
thresholds U and L. We compared the observed subgroup size distribution and
those obtained by simulation under different values of U using Frontiers in Robotics and AI | www.frontiersin.org July 2020 | Volume 7 | Article 90 7 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. FIGURE 6 | Jensen-Shannon (JS) distance between the observed and simulated subgroup size distributions shown in Figure 5. Each dot corresponds to the JS
distance between an instance of 100 simulations for each value of U. For all simulations, L = −0.00001. FIGURE 6 | Jensen-Shannon (JS) distance between the observed and simulated subgroup size distributions shown in Figure 5. 5. TESTING CIRCUITS IN SIMULATION Each dot corresponds to the JS
distance between an instance of 100 simulations for each value of U. For all simulations, L = −0.00001. FIGURE 6 | Jensen-Shannon (JS) distance between the observed and simulated subgroup size distributions shown in Figure 5. Each dot corresponds to the JS
distance between an instance of 100 simulations for each value of U. For all simulations, L = −0.00001. the Jensen-Shannon distance (Figure 6). This distance between
two random variables x and y is defined as: D rather than tree number. To do so we calculated the sum of the
D values of all the trees with fruit (Df ) in period p divided by the
sum of D values for all the trees in the plot (Di), giving an index
of food abundance for a period p, IFAp = P Df / P Di. JS(x|y) = H
x + y
2
−1
2[H(x) + H(y)]
(5) (5) p
f
Figure 7 shows the time series for the IFA and subgroup size
during one year. As mentioned above, maintaining the temporal
resolution of the subgroup size time series was important in
order to maintain a sufficient number of continuous series of
observations. Despite the different temporal resolution of each
time series, it seems that subgroup size increases together with
IFA during the second wet season. where H is the entropy of each variable, p(x)
1
logp(x) and X and
Y are, in this case, the observed subgroup size and the subgroup
size obtained in one run of a simulation, respectively. Figure 6
corroborates what is apparent in Figure 5, that simulations run
with U ≥0.4 yield subgroup size distributions that are closer and
indistinguishable from the observed distribution, with JS values
that are close to zero, while simulations run with U < 0.4 have an
increasing JS with respect to the observed. Simulations run with
all values of L for U=0.4 yield subgroup size distributions that are
equally close to the observed (data not shown). In
previous
work,
the
match
between
the
collective
computation output and the environment was evaluated
using mutual information (Brush et al., 2018). Here we use
transfer entropy: Tx→y(t) = H(yt|yt−1) −H(yt|yt−1, xt−1)
(6) (6) Frontiers in Robotics and AI | www.frontiersin.org 6. FIT OF OUTPUT TO ENVIRONMENT The IFA measures the overall abundance of fruit in the spider monkey’s
abitat, considering their most preferred species, their fruiting status and the abundance and relative size of trees (see section 6). The temporal resolution of the
ubgroup size data is 20 min, whereas food abundance was monitored biweekly. Thus, the IFA series has the same value throughout a given biweekly period, while
ubgroup size fluctuates at a much finer temporal scale. Noted above are the seasons (wet or dry) to which each sample belongs. Panel (C) presents a fragment of
e subgroup size time series showing its variation between September 30 and October 31st 2013. Note that the time series was constructed with sets of scan
amples taken every 20’ collected throughout 4–8 h periods and that subgroups followed in consecutive days were not necessarily the same. Therefore, the spikes
nd drops observed in the curve do not always reflect fission or fusion events. f
iti
t
hi h
f
i
it
ith diff
t
f
f
ti
i
i
l t d d t
t
ith U
≥
0 4 FIGURE 7 | Time series for the index of food abundance (IFA; A) and subgroup size (B). The IFA measures the overall abundance of fruit in the spider monkey’s
habitat, considering their most preferred species, their fruiting status and the abundance and relative size of trees (see section 6). The temporal resolution of the
subgroup size data is 20 min, whereas food abundance was monitored biweekly. Thus, the IFA series has the same value throughout a given biweekly period, while
subgroup size fluctuates at a much finer temporal scale. Noted above are the seasons (wet or dry) to which each sample belongs. Panel (C) presents a fragment of
the subgroup size time series showing its variation between September 30 and October 31st 2013. Note that the time series was constructed with sets of scan
samples taken every 20’ collected throughout 4–8 h periods and that subgroups followed in consecutive days were not necessarily the same. Therefore, the spikes
and drops observed in the curve do not always reflect fission or fusion events. of fruiting trees, we assess which of our circuits with different
strategy integration rules (described in section 4), computes a
distribution of subgroup size that is a good fit to the current
abundance of fruiting trees. 6. FIT OF OUTPUT TO ENVIRONMENT This is a measure of how much uncertainty in a variable y is
reduced given past states of both y and a variable x that is assumed
to be independent of y. This dependence is over and above the
uncertainty about y reduced by consideration of its own past
state. Here transfer entropy is measuring how much subgroup
size uncertainty is reduced by considering past states of subgroup
size and IFA, conditioned on the uncertainty reduction by the
past states of subgroup size alone. Given the difference in time
resolution for the two time series (Figure 7), this implies that,
within a given bi-weekly period, we are measuring the transfer
entropy between a constant value of IFA and varying values of
subgroup size. We used the JIDT package (Lizier, 2014) in R
(R Core Team, 2017) to estimate the transfer entropy between
time series, using the Kraskov estimator with the number of
closest neighbors k = 4. The two observed time series have a
TIFA→SGS(t)=0.036 nats. A central question is whether the collective computation output
is adaptive (Flack, 2017a; Brush et al., 2018). Previous studies
of spider monkeys suggest there is a weak relationship between
subgroup size and food abundance (Symington, 1988; Pinacho-
Guendulain and Ramos-Fernández, 2017). In general, subgroups
tend to be larger during periods of high food abundance. This
suggests that subgroup size can track the abundance of resources. Here, we investigate whether subgroup size distribution is
predicted by the relative abundance of fruiting trees. We use data from a 1-ha plot where all the trees (diameter at
breast height, D > 10 cm) from the 15 most consumed species
by the monkeys, were monitored bi-weekly for a year from
September 2013 to September 2014, comprising 25 monitoring
periods. A total of 487 trees were identified, their D was recorded,
and every 2 weeks they were assessed for the presence of fruit. The
data obtained were used to calculate the proportion of trees with
fruit available in a given period expressed in terms of the total tree To explore whether spider monkeys collectively compute a
subgroup size distribution that is a good match to the distribution July 2020 | Volume 7 | Article 90 8 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. IGURE 7 | Time series for the index of food abundance (IFA; A) and subgroup size (B). Frontiers in Robotics and AI | www.frontiersin.org 6. FIT OF OUTPUT TO ENVIRONMENT FIGURE 9 | Transfer entropy between simulated IFA and simulated subgroup size. Each gray circle corresponds to an instance of 100 simulations run with varying
values of U and L = −0.00001. Red dots indicate the upper and lower limits of 99 percent confidence intervals of the mean. The dotted line corresponds to the value
of transfer entropy found for the observed IFA and subgroup size data in Figure 7. FIGURE 9 | Transfer entropy between simulated IFA and simulated subgroup size. Each gray circle corresponds to an instance of 100 simulations run with varying
values of U and L = −0.00001. Red dots indicate the upper and lower limits of 99 percent confidence intervals of the mean. The dotted line corresponds to the value
of transfer entropy found for the observed IFA and subgroup size data in Figure 7 FIGURE 9 | Transfer entropy between simulated IFA and simulated subgroup size. Each gray circle corresponds to an instance of 100 simulations run with varying
values of U and L = −0.00001. Red dots indicate the upper and lower limits of 99 percent confidence intervals of the mean. The dotted line corresponds to the value
of transfer entropy found for the observed IFA and subgroup size data in Figure 7. background against which individuals can tune their own
strategies (Flack, 2017a). Hence there are two challenges for
a group computing its social structure: that it changes slowly
enough to remain informative for decision-making and that it
adaptively tracks the environment. sampled from the distribution of observed n) there is a certain
degree of variation around the observed data. Each simulated IFA
series was compared to its corresponding subgroup size series. These values of TIFA→SGS(t) are presented in Figure 9, which
also shows the value of TIFA→SGS(t) obtained for the observed
IFA and subgroup size time series (Figure 7). The results suggest
simulated subgroup size data sets with 0.01
<
U
<
0.4
match the temporal variation in IFA values better than the
empirically observed subgroup size distribution and better than
the simulated distributions computed with U ≥0.4. 6. FIT OF OUTPUT TO ENVIRONMENT Shown in Figure 8 is the time series
for the subgroup size values together with the subgroup size
time series of all simulated data sets generated for different
values of U. Figure 8 shows what was already apparent in
the subgroup size distributions shown in Figure 5, but in the form of a time series: simulated data sets with U
≥
0.4
generate a subgroup size distribution that is closest to the
observed distribution. We calculated the transfer entropy between the IFA time series
and its corresponding subgroup size time series. We generated
simulated data sets that included the same values of IFA as in
the original dataset, but because the observation period length
could vary (as the length of each observation period, n, was July 2020 | Volume 7 | Article 90 Frontiers in Robotics and AI | www.frontiersin.org 9 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. FIGURE 8 | Time series for subgroup size as observed (black line) and simulated (lines of varying color). Each colored line corresponds to an instance of 100
simulations for different values of U and L = −0.00001. Wet and dry seasons are noted above. FIGURE 9 | Transfer entropy between simulated IFA and simulated subgroup size. Each gray circle corresponds to an instance of 100 simulations run with varying
values of U and L = −0.00001. Red dots indicate the upper and lower limits of 99 percent confidence intervals of the mean. The dotted line corresponds to the value
of transfer entropy found for the observed IFA and subgroup size data in Figure 7. FIGURE 8 | Time series for subgroup size as observed (black line) and simulated (lines of varying color). Each colored line corresponds to an instance of 100
simulations for different values of U and L = −0.00001. Wet and dry seasons are noted above. FIGURE 8 | Time series for subgroup size as observed (black line) and simulated (lines of varying color). Each colored line corresponds to an instance of 100
simulations for different values of U and L = −0.00001. Wet and dry seasons are noted above. FIGURE 8 | Time series for subgroup size as observed (black line) and simulated (lines of varying color). Each colored line corres
simulations for different values of U and L = −0.00001. Wet and dry seasons are noted above. 6. FIT OF OUTPUT TO ENVIRONMENT Frugivorous spider monkeys are faced with two significant
sources of uncertainty related to foraging—to discover the
location of fruiting trees and to distribute themselves over these
fruiting trees to minimize conflict (Aureli et al., 2008) and the
costs associated with large groups (Asensio et al., 2009), as well
as to maximize resource intake (Symington, 1988). We have
used a theory of collective computation (see references in the
introduction) to explore how fission-fusion dynamics arises in
spider monkey groups and whether the resulting distribution
of subgroup size is a good match to the environment. We
found spider monkey collectives appear to be able to partially
match subgroup size to resource abundance. Our results suggest Frontiers in Robotics and AI | www.frontiersin.org 7. DISCUSSION Gil et al., 2018). Exchanging
information about available patches when foragers disperse and
learning about the location and availability of different patches
increases the foraging success of the whole group (Falcón-Cortés
et al., 2019). The circuit of individual strategies that we infer
here is, at least in part, a reflection of information sharing about
available patches. Following another individual when ignorant
is a simple mechanism of information sharing (Palacios-Romo
et al., 2019), that could be reflected in the dyadic weights we
have measured. This would lead to a fully connected circuit with
information about food sources promoting a flexible grouping
pattern that matches heterogeneity in the environment. We should also be cautious in interpreting the power of
the collective computation at small U values. In these limits
subgroups converge to a constant size where food abundance
is expected to be somewhat predictive of size simply because
both values remain constant during each bi-weekly period. These
caveats aside, whereas collective computation in this system
is not optimal, it remains nonetheless predictive and able to
capture information about the environment. Specifically, the
circuits that capture subgroup joining strategies can aggregate
information about the environment. Although we did not study
longer timescales, the slowly changing structure of groups
provides a means for storing information accumulated by
individuals about food availability across years (Palacios-Romo
et al., 2019). With individuals that are more than 30 years
old (see Supplementary Information), who are using spatial
memory for their foraging decisions (Valero and Byrne, 2007),
the information made available to the group through their
experience is likely an important element to track long-term
changes in the foraging environment. It is interesting to compare our approach to that of optimal
foraging theory, which would postulate an optimal subgroup
size distribution, based on a set of constraints and the best
compromise between costs and benefits, which for most cases
are unknown (Fretwell and Lucas, 1970; Stephens and Krebs,
1986). An empirical test of this postulate would consist of
the match or lack thereof of the observed distribution to the
food abundance and this would be interpreted in terms of
the unknown mechanisms for how subgroup size comes about
(e.g., Chapman et al., 1995). 7. DISCUSSION Social structure typically changes slowly compared to the
interactions giving rise to it. As such, social structure, whether
optimal for the environment or not, reduces uncertainty about
the future state of the system and provides a relatively stable Frontiers in Robotics and AI | www.frontiersin.org July 2020 | Volume 7 | Article 90 10 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. however that the collective computation of subgroup size is
not optimal with respect to food availability as measured by
our index. processing to be addressed through simulation in more
complicated systems. Additional factors that could affect decision-making, thereby
shifting the subgroup distribution from optimal to suboptimal,
are a variety of social variables like sex and age, the previous
history of interactions, and kinship relationships (Ramos-
Fernández et al., 2009; Busia et al., 2017). However, because we
are extracting individual strategies directly from the data, these
modulating factors are already included in the weights between
individuals. Other factors that are currently implicit include the
risk of predation or location within the group’s home range,
which could also affect the subgroup size. In simulating the circuits of subgroup-joining strategies we
discover values of a sensitivity parameter U (a measure of the
degree of consensus among the incoming weights required for
an individual to make a decision about whether to stay or
go) leading to a distribution of subgroup size that is a better
match (than the observed distribution of subgroup size) to the
observed abundance of fruiting trees. This suggests collective
computation is under constraint and the system is experiencing
adaptive lag—that is, still learning the best collective strategy
to integrate information accumulated by group members. The
deviation might instead be spurious–an outcome of (1) the way
in which we calculate the food abundance index, (2) the fact that
the data used to construct the two distributions are noisy and
have different time resolutions: food abundance was measured at
a bi-weekly scale while subgroup size was observed every 20 min,
or (3) other factors besides social knowledge and relationships
contributing to subgroup size decision-making. g
p
Our results shed light on how a group can best acquire
and share information about patchy and dynamic environments. While individual foraging strategies based on spatial knowledge
have been well-documented (Janson and Byrne, 2007; Fagan
et al., 2013), group foraging strategies are less well-known outside
of social insects (Gordon, 2016; cf. Frontiers in Robotics and AI | www.frontiersin.org 7. DISCUSSION Our approach is more mechanistic:
we observe a series of stay-leave decisions resulting from the
interactions between individuals and construct a circuit of
strategies that serves as a hypothesis for how the subgroup
size distribution could emerge. We measure how similar these
emerging distributions are to the observed and then test how
well the time series matches the environmental variation. That
we find alternative circuits that could produce a better match
to the environment implies that the system is not necessarily
constrained, as would be postulated by optimal foraging theory. Some
means
by
which
computations
can
be
refined
maximizing the match between group behavior and the
abundance of food, includes individuals changing the way
they accumulate information and/or compute strategies for
staying or leaving, tuning how individuals integrate over those
strategies, and tuning how the strategies interact in the circuit
to produce subgroup size distributions. For example, are some
individuals’ strategies (perhaps because they influence many
others) exerting a disproportionate effect on the output or do
many individuals contribute in small ways? The problem of
how collectives achieve optimal information processing is an
important one in biology (Tkaˇcik and Bialek, 2016), and near
optimal information processing has been discovered in a number
of biological systems (e.g., Petkova et al., 2019). However,
these examples tend to be relatively simple developmental
mechanisms such as segmentation during development of
the fruit fly larval body plan. The circuit approach allows
the
question
of
tuning
to
obtain
optimal
information Mutual information, as a measure of uncertainty reduction,
has some nice properties. It provides a robust way to
study how near optimal a collective behavior is, and this
provides a proxy for adaptiveness. We can also study different
kinds of uncertainty reduction: an endogenous one, that
involves collective computation of social structure that makes
the world more predictable for individuals within a system
(e.g., Brush et al., 2018); and an exogenous one, whereby
collective computation produces social structure that encodes July 2020 | Volume 7 | Article 90 11 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. of microscopic dynamics has parallels in multiplex networks,
which have proven to be a better representation of the dynamics
of many systems than the simple aggregation of different layers
(De Domenico et al., 2015; Smith-Aguilar et al., 2019). 7. DISCUSSION Using longer
time series, we could ask whether collective computation and
fit to the environment are being refined and improved over
time. With higher resolution data on strategies, and using
methods from information theory (e.g., Rosas et al., 2019),
it should be possible to quantify the degree to which the
output is irreducibly encoded in the circuit as opposed to
decomposeable. Is social knowledge processed in a pairwise
manner or do individuals perceive synergistic interactions
among group members (e.g., does individual’s A perception
of individuals B and C contribute non-additively to its
social knowledge)? g
Understanding how a natural social system carries out
adaptive computations could help to improve the performance
of artificial systems. For instance, our results could provide
insight into the mechanisms underlying learning through
backpropagation in artificial neural networks. The way in
which individuals adjust their strategic signaling in computing
an appropriate power structure that feeds back to provide
information about social interaction cost might be analogous
to unsupervised learning (i.e., where the target is endogenous
to the system) (Flack, 2017a; Brush et al., 2018). A system like
the one we study here, with fission-fusion dynamics that can
adjust to environmental conditions like the availability of fruiting
trees, might be analogous to supervised learning (i.e., where
the target is exogenous to the system). In both cases, feedback
might share features with backpropagation in the strong and
weak senses–the connection weights in the circuits/networks
appear to be adjusted with a combination of vector (Brush
et al., 2018) and scalar feedback (Flack et al., 2006) to minimize
the network’s error function when learning a task (Rumelhart
et al., 1986; Lillicrap et al., 2020). This is just one of many
exciting comparisons that could be made to better understand
how different types of feedback, through tuning (Daniels et al.,
2017) and downward causation (Flack, 2017a), shape the ability
of the circuit to learn. And, as described in the Introduction,
collective coarse-graining can produce a coherent mesoscale
functioning as an information bottleneck, an ideal that is at
least conceptually similar to the information bottleneck described
by Tishby and colleagues to explain how deep neural networks We used the extracted strategies to construct a family of
circuits that vary in how individuals integrate these strategies to
produce binary decisions to join or leave a subgroup. Individuals
can have both repulsion (leave) and attraction (join) strategies. 7. DISCUSSION Moreover,
this way of compressing information may allow the social
structure of spider monkeys to be flexible enough to track a
dynamic environment, and, at the same time, be robust to
disturbances. This has parallels to neural processing (Bassett
et al., 2011; Daniels et al., 2017). As we have discussed elsewhere
(see Brush et al., 2013, 2018; Daniels et al., 2017; Flack, 2017a)
compression and related principles of collective computation
have implications for engineered systems, such as web search and
swarm robotics (e.g., Bonabeau et al., 1999; Seth, 2001; Young
et al., 2013), as well as pattern recognition by artificial neural
networks and human reputation networks. knowledge about resource availability in the environment (this
paper). Uncertainty reduction is consistent with a cost-benefit
framework without requiring costs and benefits to be estimated. And quantification of the quality of the output of collective
computation in information theoretic terms builds a technical
bridge to Boltzmann’s and von Neumann’s ideas about the role of
entropy in generating ordered states (Krakauer et al., 2020) that
can form the basis of new levels of individuality, even at the social
level. In addition to assessing whether the output matches
the environment, we studied the mechanics of collective
computation. Previous
work
suggests
spider
monkeys
preferentially follow food-aware individuals (Palacios-Romo
et al., 2019). In the time series we find evidence in support
of this result: we are able to extract significant (above-null)
pair-wise probabilistic strategies used by individuals to decide
to stay in or leave subgroups. Each individual had 20-30
strategies of varying strength (out of 46 possible). Generally
the 1P were larger for “stay” strategies than “leave” strategies,
suggesting possible food presence is a more important factor to
spider monkeys than possible food absence. This emphasis on
“attraction” might also be important for maintaining cohesion
in fission-fusion dynamics in the context of a heterogeneous
foraging environment with multiple alternative foraging options
(Ramos-Fernández, 2005; Sueur et al., 2011). The strategies we
find also recover well-known social patterns for Ateles spp., in
particular—same sex based homophily for joining and repulsive
tendencies between individuals of different sex (Fedigan and
Baxter, 1984; Ramos-Fernández et al., 2009). It remains to be
determined whether further, more fine-grained patterns like
the frequency of dyadic interactions are also recovered by
these strategies. How spider monkeys collectively compute fission-fusion
social structure and how these computations can be tuned to
realize adaptive variants raises many questions. Frontiers in Robotics and AI | www.frontiersin.org REFERENCES Cheney, D. L., and Seyfarth, R. M. (1990). The representation of social
relations by monkeys. Cognition 37, 167–196. doi: 10.1016/0010-0277(90)
90022-C Asensio, N., Korstjens, A. H., and Aureli, F. (2009). Fissioning minimizes ranging
costs in spider monkeys: a multiple-level approach. Behav. Ecol. Sociobiol. 63,
649–659. doi: 10.1007/s00265-008-0699-9 Cheney,
D. L.,
and
Seyfarth,
R. M. (2008). Baboon
Metaphysics:
The
Evolution of a Social Mind. Chicago, IL: University of Chicago Press. doi: 10.7208/chicago/9780226102429.001.0001 Aureli, F., Schaffner, C. M., Boesch, C., Bearder, S. K., Call, J., Chapman, C. A., et al. (2008). Fission-fusion dynamics: new research frameworks. Curr. Anthropol. 49, 627–654. doi: 10.1086/586708 Couzin,
I. D.,
Krause,
J.,
et
al. (2003). Self-organization
and
collective
behavior
in
vertebrates. Adv. Study
Behav. 32,
10–1016. doi: 10.1016/S0065-3454(03)01001-5 Bassett, D. S., Wymbs, N. F., Porter, M. A., Mucha, P. J., Carlson, J. M., and Grafton, S. T. (2011). Dynamic reconfiguration of human brain
networks during learning. Proc. Natl. Acad. Sci. U.S.A. 108, 7641–7646. doi: 10.1073/pnas.1018985108 Daniels,
B. C.,
Ellison,
C. J.,
Krakauer,
D. C.,
and
Flack,
J. C. (2016). Quantifying
collectivity. Curr. Opin. Neurobiol. 37,
106–113. doi: 10.1016/j.conb.2016.01.012 Bonabeau, E., Dorigo, M., and Theraulaz, G. (1999). Swarm Intelligence: From
Natural to Artificial Systems. Oxford: Oxford University Press. Daniels,
B. C.,
Flack,
J. C.,
and
Krakauer,
D. C. (2017). Dual
coding
theory
explains
biphasic
collective
computation
in
neural
decision-making. Front. Neurosci. 11:313. doi:
10.3389/fnins.2017. 00313 Brush, E. R., Krakauer, D. C., and Flack, J. C. (2013). A family of algorithms for
computing consensus about node state from network data. PLoS Comput. Biol. 9:e1003109. doi: 10.1371/journal.pcbi.1003109 De Domenico, M., Lancichinetti, A., Arenas, A., and Rosvall, M. (2015). Identifying
modular
flows
on
multilayer
networks
reveals
highly
overlapping organization in interconnected systems. Phys. Rev. X 5:011027. doi: 10.1103/PhysRevX.5.011027 Brush, E. R., Krakauer, D. C., and Flack, J. C. (2018). Conflicts of interest improve
collective computation of adaptive social structures. Sci. Adv. 4:e1603311. doi: 10.1126/sciadv.1603311 Busia, L., Schaffner, C. M., and Aureli, F. (2017). Relationship quality affects fission
decisions in wild spider monkeys (Ateles geoffroyi). Ethology 123, 405–411. doi: 10.1111/eth.12609 DeDeo, S., Krakauer, D. C., and Flack, J. C. (2010). Inductive game theory
and the dynamics of animal conflict. PLoS Comput. Biol. 6:e1000782. doi: 10.1371/journal.pcbi.1000782 Fagan, W. F., Lewis, M. A., Auger-Méthé, M., Avgar, T., Benhamou, S., Breed, G.,
et al. (2013). Spatial memory and animal movement. Ecol. Lett. 16, 1316–1329. doi: 10.1111/ele.12165 Chapman, C. A., Chapman, L. J., and Wrangham, R. FUNDING Data collection was aided by a grant from the Mexican 1431
Council of Science and Technology (CONACYT CB157656). JF thanks the Proteus Foundation and the Bengier Family
Foundation for support during the project. JF also acknowledges
JTF 60501/St. Andrews sub award 13337 for support during
the project. SUPPLEMENTARY MATERIAL All
authors
conceived
the
idea
for
this
study. JF
and
DK developed the theory. GR-F and SS designed the data
collection and performed the analysis and simulations. SS
collected the data. All authors discussed the results and The Supplementary Material for this article can be found
online
at:
https://www.frontiersin.org/articles/10.3389/frobt. 2020.00090/full#supplementary-material ETHICS STATEMENT The
animal
study
was
reviewed
and
approved
by
the
corresponding authorities in Mexico: the Direccion General
de Vida Silvestre, Secretaria de Medio Ambiente y Recursos
Naturales. ACKNOWLEDGMENTS The datasets generated for this study are available on request to
the corresponding author. We thank the following people and organizations: Augusto,
Macedonio, and Eulogio Canul for their invaluable assistance
with data collection; Heiko Hamann, Deborah M. Gordon, and
Matthew Lutz for their thorough review of a previous version of
this article; Filippo Aureli and Colleen Schaffner for sharing the
management of the field project. Instituto Politecnico Nacional
and the Center for Complexity Science (C3-UNAM) for their
logistical support. 7. DISCUSSION In previous work (DeDeo et al., 2010), strategies were passed
through an AND or OR gate that captured conflict averse
(all strategies have to say “go” to join a fight) and conflict
prone dispositions (one “go” strategy was sufficient to join). Here we use thresholds. To recover the observed subgroup
size distribution in simulation requires sums over strategies
(P 1P ≥U = 0.4) much larger than the strength of individual
strategies (the majority of individual 1P values are below 0.05). This suggests individual-level decisions, as well as the aggregate
output, require that individuals take into account relationships
and social knowledge of many group members. If so, this
would suggest that spider monkeys rely on social information
from the wisdom of crowds (e.g., Jayles et al., 2017; Moreno-
Gámez et al., 2017; Kao et al., 2018) to make decisions. These
decisions are aggregated to collectively compute subgroup size
distributions. Mesoscale strategic circuits are summaries or average
tendencies and therefore provide an economical way to process
information. Slow variables, encoded in individual strategies, are
compressed summaries of noisy interactions (Flack, 2017b). The
idea that the mesoscale circuit is a compressed representation July 2020 | Volume 7 | Article 90 12 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. contributed to the manuscript and giving approval to the
final version. encode information parsimoniously (Tishby et al., 2000; Tishby
and Zaslavsky, 2015; Flack, 2017a). We have studied how a natural social system collectively
computes. This is achieved through feedback among different
scales of social organization, as proposed by Hinde’s (1976) early
paradigm and made explicit in Flack (2017a) and Flack (2017b). Studying collective computation should also find a range of
different applications in the engineering of distributed, adaptive
systems (Bonabeau et al., 1999). REFERENCES doi: 10.1007/s10764-005-6459-z Flack, J. C., Girvan, M., de Waal, F. B. M., and Krakauer, D. C. (2006). Policing
stabilizes construction of social niches in primates. Nature 439, 426–429. doi: 10.1038/nature04326 Ramos-Fernández, G., Boyer, D., Aureli, F., and Vick, L. G. (2009). Association
networks in spider monkeys (Ateles geoffroyi). Behav. Ecol. Sociobiol. 63,
999–1013. doi: 10.1007/s00265-009-0719-4 Fretwell, S., and Lucas, H. (1970). On territorial behaviour and other
factors inftuencing habitat distribution in birds. Acta Biotheoretica 19, 1–6. doi: 10.1007/BF01601953 Ramos-Fernández, G., King, A. J., Beehner, J. C., Bergman, T. J., Crofoot, M. C., Di
Fiore, A., et al. (2018). Quantifying uncertainty due to fission-fusion dynamics
as a component of social complexity. Proc. R. Soc. B Biol. Sci. 285:20180532. doi: 10.1098/rspb.2018.0532 Gil, M. A., Hein, A. M., Spiegel, O., Baskett, M. L., and Sih, A. (2018). Social
information
links
individual
behavior
to
population
and
community
dynamics. Trends
Ecol. Evol. 33,
535–548. doi:
10.1016/j.tree.2018. 04.010 Ramos-Fernández,
G.,
and
Morales,
J. M. (2014). Unraveling
fission-
fusion
dynamics:
how
subgroup
properties
and
dyadic
interactions
influence
individual
decisions. Behav. Ecol. Sociobiol. 68,
1225–1235. doi: 10.1007/s00265-014-1733-8 Gordon, D. M. (2016). The evolution of the algorithms for collective behavior. Cell
Syst. 3, 514–520. doi: 10.1016/j.cels.2016.10.013 Rosas, F. E., Mediano, P. A. M., Gastpar, M., and Jensen, H. J. (2019). Quantifying
high-order interdependencies via multivariate extensions of the mutual
information. Phys. Rev. E 100:032305. doi: 10.1103/PhysRevE.100.032305 Hein, A. M., Rosenthal, S. B., Hagstrom, G. I., Berdahl, A., Torney, C. J., and
Couzin, I. D. (2015). The evolution of distributed sensing and collective
computation in animal populations. eLife 4:e10955. doi: 10.7554/eLife. 10955 Rumelhart, D. E., Hinton, G. E., and Williams, R. J. (1986). Learning
representations
by
back-propagating
errors. Nature
323,
533–536. doi: 10.1038/323533a0 Hinde, R. A. (1976). Interactions, relationships and social structure. Man 11, 1–17. doi: 10.2307/2800384 Seth, A. K. (2001). Modeling group foraging: Individual suboptimality,
interference,
and
a
kind
of
matching. Adapt. Behav. 9,
67–89. doi: 10.1177/105971230200900204 Hopfield, J. J. (1982). Neural networks and physical systems with emergent
collective computational abilities. Proc. Natl. Acad. Sci. U.S.A. 79, 2554–2558. doi: 10.1073/pnas.79.8.2554 Hopfield, J. J. (1984). Neurons with graded response have collective computational
properties like those of two-state neurons. Proc. Natl. Acad. Sci. U.S.A. 81,
3088–3092. doi: 10.1073/pnas.81.10.3088 Smith-Aguilar, S. E., Aureli, F., Busia, L., Schaffner, C., and Ramos-Fernández, G. (2019). Using multiplex networks to capture the multidimensional nature of
social structure. Primates 60, 277–295. doi: 10.1007/s10329-018-0686-3 Janson, C. REFERENCES W. (1995). Ecological
constraints on group size: an analysis of spider monkey and chimpanzee
subgroups. Behav. Ecol. Sociobiol. 36,
59–70. doi:
10.1007/s0026500
50125 Falcón-Cortés, A., Boyer, D., and Ramos-Fernández, G. (2019). Collective
learning from individual experiences and information transfer during
group foraging. J. R. Soc. Interface 16:20180803. doi: 10.1098/rsif.2018. 0803 Chen, X., Randi, F., Leifer, A. M., and Bialek, W. (2019). Searching
for
collective
behavior
in
a
small
brain. Phys. Rev. E
99:052418. doi: 10.1103/PhysRevE.99.052418 July 2020 | Volume 7 | Article 90 Frontiers in Robotics and AI | www.frontiersin.org 13 Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. density and cell history to control bacterial competence. Nat. Commun. 8:854. doi: 10.1038/s41467-017-00903-y Fedigan, L. M., and Baxter, M. J. (1984). Sex differences and social organization
in free-ranging spider monkeys (Ateles geoffroyi). Primates 25, 279–294. doi: 10.1007/BF02382267 density and cell history to control bacterial competence. Nat. Commun. 8:854. doi: 10.1038/s41467-017-00903-y Palacios-Romo, T., Castellanos, F., and Ramos-Fernandez, G. (2019). Uncovering
the decision rules behind collective foraging in spider monkeys. Anim. Behav. 149, 121–133. doi: 10.1016/j.anbehav.2019.01.011 Flack, J. C. (2012). Multiple time-scales and the developmental dynamics
of social systems. Philos. Trans. R. Soc. B Biol. Sci. 367, 1802–1810. doi: 10.1098/rstb.2011.0214 Petkova, M. D., Tkaˇcik, G., Bialek, W., Wieschaus, E. F., and Gregor, T. (2019). Optimal decoding of cellular identities in a genetic network. Cell 176, 844–855. doi: 10.1016/j.cell.2019.01.007 Flack, J. C. (2017a). Coarse-graining as a downward causation mechanism. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 375:20160338. doi: 10.1098/rsta.20
16.0338 Pinacho-Guendulain,
B.,
and
Ramos-Fernández,
G. (2017). Influence
of
fruit
availability
on
the
fission-fusion
dynamics
of
spider
monkeys
(Ateles geoffroyi). Int. J. Primatol. 38, 466–484. doi: 10.1007/s10764-017-
9955-z Flack, J. C. (2017b). “Life’s information hierarchy,” in From Matter to Life:
Information and Causality, eds S. I. Walker, P. C. Davies, and G. F. Ellis
(Cambridge: Cambridge University Press), 283–302. doi: 10.1017/97813165842
00.012 R Core Team (2017). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. Available online at: https://
www.R-project.org/ Flack, J. C., Erwin, D., Elliot, T., and Krakauer, D. C. (2013). “Timescales,
symmetry, and uncertainty reduction in the origins of hierarchy in biological
systems,” in Evolution of Cooperation and Complexity, eds K. Sterelny, B. Calcott, and R. Joyce (Boston, MA: MIT Press), 45–74. Ramos-Fernández, G. (2005). Vocal communication in a fission-fusion society:
do spider monkeys stay in touch with close associates? Int. J. Primatol. 26,
1077–1092. REFERENCES H., and Byrne, R. (2007). What wild primates know about
resources:
opening
up
the
black
box. Anim. Cogn. 10,
357–367. doi: 10.1007/s10071-007-0080-9 Sosna, M. M. G., Twomey, C. R., Bak-Coleman, J., Poel, W., Daniels, B. C.,
Romanczuk, P., and Couzin, I. D. (2019). Individual and collective encoding
of risk in animal groups. Proc. Natl. Acad. Sci. U.S.A. 116, 20556–20561. doi: 10.1073/pnas.1905585116 Jayles, B., Kim, H.-R., Escobedo, R., Cezera, S., Blanchet, A., Kameda, T.,
et al. (2017). How social information can improve estimation accuracy
in
human
groups. Proc. Natl. Acad. Sci. U.S.A. 114,
12620–12625. doi: 10.1073/pnas.1703695114 Stephens, D. W., and Krebs, J. R. (1986). Foraging Theory. Princeton, PA: Princeton
University Press. doi: 10.1515/9780691206790 Sueur, C., King, A. J., Conradt, L., Kerth, G., Lusseau, D., Mettke-Hofmann,
C.,
Schaffner,
C. M.,
et
al. (2011). Collective
decision-making
and
fission-fusion dynamics: a conceptual framework. Oikos 120, 1608–1617. doi: 10.1111/j.1600-0706.2011.19685.x Kao, A. B., Berdahl, A. M., Hartnett, A. T., Lutz, M. J., Bak-Coleman, J. B., Ioannou, C. C., et al. (2018). Counteracting estimation bias and social
influence to improve the wisdom of crowds. J. R. Soc. Interface 15:20180130. doi: 10.1098/rsif.2018.0130 Symington, M. M. (1988). Food competition and foraging party size in the
black spider monkey (Ateles Paniscus Chamek). Behaviour 105, 117–132. doi: 10.1163/156853988X00476 Krakauer, D., Bertschinger, N., Olbrich, E., Flack, J. C., and Ay, N. (2020). The information theory of individuality. Theory Biosci. 139, 209–223. doi: 10.1007/s12064-020-00313-7 Tank, D., and Hopfield, J. (1988). Collective computation in neuronlike circuits. Sci. Am. 257, 104–14. doi: 10.1038/scientificamerican1287-104 Krakauer, D. C., Flack, J. C., Dedeo, S., Farmer, D., and Rockmore, D. (2010). “Intelligent data analysis of intelligent systems,” in Advances in Intelligent Data
Analysis IX, eds P. R. Cohen, N. M. Adams, and M. R. Berthold (Berlin:
Springer), 8–17. doi: 10.1007/978-3-642-13062-5_3 Tishby, N., Pereira, F. C., and Bialek, W. (2000). The information bottleneck
method. arXiv preprint physics/0004057. Tishby, N., and Zaslavsky, N. (2015). “Deep learning and the information
bottleneck principle,” in 2015 IEEE Information Theory Workshop (ITW)
(Jerusalem: IEEE), 1–5. doi: 10.1109/ITW.2015.7133169 Lillicrap, T. P., Santoro, A., Marris, L., Akerman, C. J., and Hinton, G. (2020). Backpropagation and the brain. Nat. Rev. Neurosci. 21, 335–346. doi: 10.1038/s41583-020-0277-3 Tkaˇcik,
G.,
and
Bialek,
W. (2016). Information
processing
in
living
systems. Annu. Rev. Condens. Matter
Phys. 7,
89–117. doi: 10.1146/annurev-conmatphys-031214-014803 Lizier,
J. T. (2014). JIDT:
an
information-theoretic
toolkit
for
studying
the
dynamics
of
complex
systems. Front. Robot. AI
1:11. Young, G. F., Scardovi, L., Cavagna, A., Giardina, I., and Leonard, N. E. (2013).
Starling flock networks manage uncertainty in consensus at low cost. PLoS
Comput. Biol. 9:e1002894. doi: 10.1371/journal.pcbi.1002894 Conflict of Interest: The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could be construed as a
potential conflict of interest. Frontiers in Robotics and AI | www.frontiersin.org Collective Computation in Animal Fission-Fusion Dynamics July 2020 | Volume 7 | Article 90 REFERENCES doi: 10.3389/frobt.2014.00011 Valero, A., and Byrne, R. W. (2007). Spider monkey ranging patterns in mexican
subtropical forest: do travel routes reflect planning? Anim. Cogn. 10, 305–315. doi: 10.1007/s10071-006-0066-z Moreno-Gámez, S., Sorg, R. A., Domenech, A., Kjos, M., Weissing, F. J., van
Doorn, G. S., et al. (2017). Quorum sensing integrates environmental cues, cell July 2020 | Volume 7 | Article 90 Frontiers in Robotics and AI | www.frontiersin.org 14 Collective Computation in Animal Fission-Fusion Dynamics Collective Computation in Animal Fission-Fusion Dynamics Ramos-Fernandez et al. Ramos-Fernandez et al. Copyright © 2020 Ramos-Fernandez, Smith Aguilar, Krakauer and Flack. This is an
open-access article distributed under the terms of the Creative Commons Attribution
License (CC BY). The use, distribution or reproduction in other forums is permitted,
provided the original author(s) and the copyright owner(s) are credited and that the
original publication in this journal is cited, in accordance with accepted academic
practice. No use, distribution or reproduction is permitted which does not comply
with these terms. Conflict of Interest: The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could be construed as a
potential conflict of interest. July 2020 | Volume 7 | Article 90 Frontiers in Robotics and AI | www.frontiersin.org 15
|
https://openalex.org/W4239641641
|
https://www.biogeosciences.net/15/703/2018/bg-15-703-2018.pdf
|
English
| null |
Peat decomposability in managed organic soils in relation to land-use, organic matter composition and temperature
| null | 2,017
|
cc-by
| 13,612
|
Correspondence: Jens Leifeld (jens.leifeld@agroscope.admin.ch) Correspondence: Jens Leifeld (jens.leifeld@agroscope.admin.ch) Received: 14 May 2017 – Discussion started: 14 June 2017
Revised: 26 October 2017 – Accepted: 13 December 2017 – Published: 5 February 2018 Abstract. Organic soils comprise a large yet fragile carbon
(C) store in the global C cycle. Drainage, necessary for agri-
culture and forestry, triggers rapid decomposition of soil or-
ganic matter (SOM), typically increasing in the order for-
est < grassland < cropland. However, there is also large vari-
ation in decomposition due to differences in hydrological
conditions, climate and specific management. Here we stud-
ied the role of SOM composition on peat decomposability
in a variety of differently managed drained organic soils. We collected a total of 560 samples from 21 organic crop-
land, grassland and forest soils in Switzerland, monitored
their CO2 emission rates in lab incubation experiments over 6
months at two temperatures (10 and 20 ◦C) and related them
to various soil characteristics, including bulk density, pH, soil
organic carbon (SOC) content and elemental ratios (C / N,
H / C and O / C). CO2 release ranged from 6 to 195 mg CO2-
C g−1 SOC at 10 ◦C and from 12 to 423 mg g−1 at 20 ◦C. This variation occurring under controlled conditions suggests
that besides soil water regime, weather and management,
SOM composition may be an underestimated factor that de-
termines CO2 fluxes measured in field experiments. How-
ever, correlations between the investigated chemical SOM
characteristics and CO2 emissions were weak. The latter also
did not show a dependence on land-use type, although peat
under forest was decomposed the least. High CO2 emissions
in some topsoils were probably related to the accrual of la-
bile crop residues. A comparison with published CO2 rates
from incubated mineral soils indicated no difference in SOM
decomposability between these soil classes, suggesting that
accumulation of recent, labile plant materials that presum-
ably account for most of the evolved CO2 is not systemati- cally different between mineral and organic soils. In our data
set, temperature sensitivity of decomposition (Q10 on aver-
age 2.57 ± 0.05) was the same for all land uses but lowest
below 60 cm in croplands and grasslands. This, in turn, indi-
cates a relative accumulation of recalcitrant peat in topsoils. 1
Introduction Organic soils represent a major global sink for atmospheric
carbon (C). Although they cover only 3 % of the earth’s ter-
restrial surface (Tubiello et al., 2016), they store up to 30 %
of the global soil organic carbon (SOC) pool (Parish et al.,
2008). In Europe, more than 50 % of the former peatland
area has been degraded by peat mining and conversion of
land use, including drainage, to improve their suitability for
agriculture or forestry (Joosten, 2010). Drainage aerates the
soil so that plants of interest for agriculture and forestry can
grow and make these soils manageable. The change from
anaerobic to aerobic conditions, however, triggers rapid de-
composition of peat that had accumulated under the con-
ditions of waterlogging. This transforms the former C-sink
into a major source of atmospheric carbon dioxide (CO2)
and makes peatlands an important contributor to global cli-
mate change (Freeman et al., 2004). Around 85 % of the
global annual CO2 emission of 915 Mt CO2-C from drained
peatlands are estimated to originate from organic soils now
used as croplands (Tubiello et al., 2016). With rates of 6.5–
9.4 t C ha−1 a−1 net CO2 fluxes from organic soils now used
as croplands were on average found to be higher than from
organic soils under grassland, which were estimated to vary Biogeosciences, 15, 703–719, 2018
https://doi.org/10.5194/bg-15-703-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License. Biogeosciences, 15, 703–719, 2018
https://doi.org/10.5194/bg-15-703-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License. C. Bader et al.: Peat decomposability in managed organic soils Drained organic soils under for-
est can act as both net sinks or sources of atmospheric CO2
(Cannell et al., 1993; Minkkinen and Laine, 1998; Minkki-
nen et al., 1999; Wüst-Galley et al., 2016), although they
are in general considered to represent a source with aver-
age net CO2 emissions of 2.0–3.3 t C ha−1 a−1 in the tem-
perate zone (IPCC, 2014). Temperature and soil moisture
regime, which depends on drainage depth, among other fac-
tors, have the greatest influence on peat decay in drained
organic soils (Hogg et al., 1992; Berglund, 1995; Scanlon
and Moore, 2000; Chimner and Cooper, 2003; Couwenberg
et al., 2010; Leifeld et al., 2012). However, there are sub-
stantial differences in CO2 emissions from organic soils with
similar drainage and cultivation properties. The protection of
organic matter (OM) against decomposition by mechanisms
such as occlusion in aggregates and binding to mineral sur-
faces, which are important for the stabilization of OM in
mineral soils (Six et al., 2002), are of minor importance in
organic soils due to the lack or low abundance of minerals
(Han et al., 2016). Therefore, the intrinsic decomposability
of organic matter is considered another major factor influenc-
ing the rate of peat decomposition and a major cause of sub-
stantial variation in CO2 emissions at different sites (Chim-
ner and Cooper, 2003; Byrne and Farrell, 2005; Höper, 2007;
Wickland and Neff, 2008; Reiche et al., 2010). change with increasing depth towards a relative enrichment
of compounds that are recalcitrant against decomposition un-
der anoxic conditions, such as lignins and polyphenols (Free-
man et al., 2004), while the contents of labile oxygen-rich
compounds, such as polysaccharides, were found to decrease
(Leifeld et al., 2012; Biester et al., 2014; Sjögersten et al.,
2016). )
Elemental ratios of oxygen (O), hydrogen (H), and nitro-
gen (N) to carbon are widely used as indicators of the relative
abundance of different groups of compounds such as phe-
nols, lipids and polysaccharides, and proteins. Lignins and
polyphenols have molar O / C ratios in the range of 0.2–0.6
and H / C ratios between 0.9 and 1.5, while the respective
ratios of carbohydrates range from 0.8 to 0.9 for O / C and
from 1.4 to 1.8 for H / C (Kim et al., 2003). C. Bader et al.: Peat decomposability in managed organic soils In line with
the molecular and spectroscopic analyses mentioned before,
both ratios were found to decrease with increasing depth in
peat (Klavins et al., 2008; Biester et al., 2014; Wüst-Galley
et al., 2016). On the other hand, both fresh plant residues
and undisturbed peat usually have high C / N ratios (Loisel
et al., 2012). When peat becomes exposed to oxic conditions,
mineralization seems to lead to relative enrichment of N, ex-
plaining why decreased C / N ratios are found in organic top-
soils compared to undrained peat layers or bottom layers of
drained organic soils (Malmer and Holm, 1984; Kuhry and
Vitt, 1996; Krueger et al., 2015). While undisturbed organic
soils have a low bulk density, drainage leads to subsidence
processes and increasing bulk densities in the topsoils (Ro-
giers et al., 2008; Leifeld et al., 2011a, b). )
Although intrinsic decomposability of SOM cannot be ad-
dressed directly, useful indicators of the latter are the relative
abundances of labile and recalcitrant C moieties, which shift
towards progressively higher proportions of the recalcitrant
C with decomposition (Beer et al., 2008; Tfaily et al., 2014)
and result in selective enrichment and depletion of specific
functionalities (Leifeld et al., 2017; McAnallen et al., 2017). It is important to recognize that during peat formation, most
of the net primary production contained in the initial mass
of plant residues are lost due to mineralization, and only 10–
20 % is transformed and accumulated as peat in the water-
saturated zone of a peat bog or fen (Clymo, 1984). Although
decomposition acts slowly on accumulating peat of undis-
turbed (i.e. water-saturated organic) soils, it is believed that
primarily the most labile OM moieties are lost. Due to fresh
peat layers accumulating on top of older ones, age and de-
pletion in labile compounds increase with soil depth. Incu-
bation studies of peat samples and carbon loss studies with
undisturbed organic soils found smaller CO2 emission rates
from deeper peat layers, which was related to the absence
of labile compounds i.e. a lower intrinsic decomposability of
soil organic matter (SOM) (Hogg et al., 1992; Scanlon and
Moore, 2000; Wang et al., 2010; Hardie et al., 2011; Leifeld
et al., 2012). Published by Copernicus Publications on behalf of the European Geosciences Union. Published by Copernicus Publications on behalf of the European Geosciences Union. C. Bader et al.: Peat decomposability in managed organic soils 704 between 1.8 and 7.3 t C ha−1 a−1 (IPCC, 2014). However, re-
cent studies reported emission rates of 7.6 ± 2.0 t C ha−1 a−1
on organic soils managed as grassland in Germany and thus
much higher rates than previously found for this type of land
use (Tiemeyer et al., 2016). Drained organic soils under for-
est can act as both net sinks or sources of atmospheric CO2
(Cannell et al., 1993; Minkkinen and Laine, 1998; Minkki-
nen et al., 1999; Wüst-Galley et al., 2016), although they
are in general considered to represent a source with aver-
age net CO2 emissions of 2.0–3.3 t C ha−1 a−1 in the tem-
perate zone (IPCC, 2014). Temperature and soil moisture
regime, which depends on drainage depth, among other fac-
tors, have the greatest influence on peat decay in drained
organic soils (Hogg et al., 1992; Berglund, 1995; Scanlon
and Moore, 2000; Chimner and Cooper, 2003; Couwenberg
et al., 2010; Leifeld et al., 2012). However, there are sub-
stantial differences in CO2 emissions from organic soils with
similar drainage and cultivation properties. The protection of
organic matter (OM) against decomposition by mechanisms
such as occlusion in aggregates and binding to mineral sur-
faces, which are important for the stabilization of OM in
mineral soils (Six et al., 2002), are of minor importance in
organic soils due to the lack or low abundance of minerals
(Han et al., 2016). Therefore, the intrinsic decomposability
of organic matter is considered another major factor influenc-
ing the rate of peat decomposition and a major cause of sub-
stantial variation in CO2 emissions at different sites (Chim-
ner and Cooper, 2003; Byrne and Farrell, 2005; Höper, 2007;
Wickland and Neff, 2008; Reiche et al., 2010). between 1.8 and 7.3 t C ha−1 a−1 (IPCC, 2014). However, re-
cent studies reported emission rates of 7.6 ± 2.0 t C ha−1 a−1
on organic soils managed as grassland in Germany and thus
much higher rates than previously found for this type of land
use (Tiemeyer et al., 2016). www.biogeosciences.net/15/703/2018/ C. Bader et al.: Peat decomposability in managed organic soils 705 dations (Flisch et al., 2009). Forest sites were managed and
their vegetation was not peat-forming. stantially vary with land use, site conditions and time since
land use conversion. Schulze et al. (2009) reported that inputs
of fresh organic matter residues were smaller in croplands
than in grasslands or forests, suggesting that SOM might be
on average more aged and thus less decomposable. In situ
measurements of CO2 fluxes from managed organic soils re-
veal slower decomposition of peat under forest (IPCC, 2014). Together, smaller peat loss rates and higher residue input
make us expect that SOM decomposition rates under con-
trolled conditions are fastest in forest topsoils. 2.2
Soil sampling Between October 2013 and June 2015, we sampled a to-
tal of 84 peat cores from all 21 sites (4 cores per site). All
cores were taken to a maximum depth of 1 m. If the under-
lying mineral layer was reached before 1 m depth, coring
was discontinued. We used a Belarusian peat corer (cuts a
half-cylindrical undisturbed core of diameter 4 cm) for soils
with low bulk densities and a motorized Humax corer (cuts a
cylindrical core of diameter 5 cm) for denser soils. The sam-
ples were stored at 4 ◦C for up to 2 months until analysis. We
applied the method of Rogiers et al. (2008) to account for
soil compaction during sampling for any sample and divided
the cores into segments corresponding to 5–10 cm depth in-
crements. This corresponded, depending on the type of soil
corer used and length of the increment, to sample volumes of
between 31 and 196 cm3 per segment. In total this resulted
in 1605 soil samples. Some cores had interlayers of mineral
sediment identified by a different colour (grey), a high bulk
density and their SOC content was lower than 150 g kg−1. These interlayers were excluded from the analysis. The soil
of one site (BI_FL) had no limnic layer and therefore was
classified as a murshic Histosol; all others were classified as
murshic limnic Histosols (WRB, 2014). In this study, we analysed the relationship between SOM
properties, specific decomposition rates (CO2-C mg−1 SOC)
and their temperature sensitivities to peat samples taken from
depths between 0 and 200 cm of 21 drained organic soils in
Switzerland managed as cropland, perennial grassland or for-
est. These sites embody three major uses for drained peat-
lands as they occur in Europe (Joosten, 2010) and are also
representative of the situation in Switzerland where most for-
mer peatlands are drained and managed (Wüst-Galley et al.,
2015). We measured decomposition rates in incubation ex-
periments under standardized lab conditions and interpreted
the current decomposition status of peat using SOM proper-
ties such as (i) carbon stocks, bulk densities and the elemental
ratios O / C, H / C and C / N as well as (ii) the temperature
sensitivity towards decomposition, expecting that 1. specific decomposition rates of SOM decline with
depth, 2.3
Soil analysis 2. specific decomposition rates of SOM in managed or-
ganic soils correlate with its composition and are in-
versely related to the temperature sensitivity of decom-
position, Soil pH was measured for two to three samples of each core
(307 samples in total) using a flat surface electrode (pH 100,
Extech Instruments, USA) calibrated at pH 7.00 and pH 4.01. Aliquots of fresh soil (10 g dry matter) were diluted in dis-
tilled water (2.5 parts water to 1 part material by mass),
shaken, left for 20 h and shaken again, before the pH mea-
surements were carried out. 3. specific decomposition rates of topsoil SOM are largest
in the forest and smallest in the croplands. Prior to further chemical analysis, the samples were
oven-dried at 105 ◦C and weighed to determine bulk den-
sity (g cm−3). The dried samples were ground for 2 min at
25 rotations s−1 in a ball mill (Retsch MM400) and subsam-
pled to determine total carbon (Ctot), SOC, hydrogen (H),
nitrogen (N) and oxygen (O) contents. Ctot, H and N were
analysed after dry combustion of ground subsamples in an el-
emental analyser (Hekatech, Germany). To determine SOC,
we hydrolysed ground aliquots with 36 % HCl (acid fumi-
gation) in a desiccator to remove any carbonates before the
samples were analysed in the elemental analyser. A third set
of ground subsamples were used to determine the O contents
by means of the same analyser after pyrolysis at 1000 ◦C. We
corrected O contents for inorganic O, assuming that all inor-
ganic O was present in form of CaCO3. The O / C and H / C
ratios given in this paper represent mole ratios, whereas the
C / N ratios represent mass ratios. For analysis O / C ratios
and H / C ratios of samples having a SOC content lower than C. Bader et al.: Peat decomposability in managed organic soils Using solid-state 13C-NMR, DRIFT/FTIR spec-
troscopy and pyrolysis-GC/MS, various studies of OM com-
position of undisturbed peat profiles have shown a gradual The temperature sensitivity of peat mineralization, as ex-
pressed by its Q10 value, is a useful parameter for charac-
terizing the intrinsic decomposability of SOM (Hogg et al.,
1992; Biasi et al., 2005; Davidson and Janssens, 2006; Co-
nant et al., 2008; Boddy et al., 2008; Karhu et al., 2010; Hi-
lasvuori et al., 2013). In line with the biochemical and ele-
mental evidence reviewed above, it was reported to increase
with increasing resistance of peat soils against OM decom-
position (Scanlon and Moore, 2000), soil depth and peat age
(Hardie et al., 2011; Hilasvuori et al., 2013). Despite its likely important role in determining future C
losses from drained peatland, the influence of SOM compo-
sition on peat decomposition in managed organic soils is not
well studied. While decomposition rates seem to decline with
increasing peat age, i.e. profile depth, the oxic conditions,
occurring after drainage onset, lead to fast SOM decompo-
sition. As for undisturbed organic soils, we expect that post
drainage decomposition primarily acts on the most labile OM
moieties. However, the much faster decomposition of labile
SOM might alter the depth interaction found in undisturbed
peat soils. Further, recent inputs from plant residues may sup-
ply the topsoils with labile OM. Around 20 % of carbon in
organic soils under agriculture is derived from crop residues
and thus decomposes more rapidly (Bader et al., 2017). The
fractions of OM derived from peat and recent inputs and their
decomposability in drained organic soils may, however, sub- www.biogeosciences.net/15/703/2018/ Biogeosciences, 15, 703–719, 2018 C. Bader et al.: Peat decomposability in managed organic soils 2.1
Sampling sites The soil samples used for this study were taken from organic
soils distributed across Switzerland that were identified us-
ing the map of Wüst et al. (2015). Apart from current land
use (grassland, cropland, forest), they differed in the type of
drainage system (ditches in forest, pipes in crop- and grass-
land), time since drainage onset and drainage intensity, alti-
tude (MASL) and climate (Table 1). All sites were classified
as fens, although we found bog-derived peat layers within
the top 30 and 40 cm of the soil profiles at two sites (SK_FL,
K_FL). Cropland management comprised rotations typical
for Switzerland with maize, winter wheat, ley and rapeseed
as major crops. Sites were conventionally tilled. Grasslands
were used for cutting and haymaking, not grazing, and are
fertilized according to the Swiss Fertilization Recommen- www.biogeosciences.net/15/703/2018/ www.biogeosciences.net/15/703/2018/ www.biogeosciences.net/15/703/2018/ Biogeosciences, 15, 703–719, 2018 706 C. Bader et al.: Peat decomposability in managed organic soils Table 1. List of sampling locations, including information on the land-use type, peat thickness, approximate time since drainage onset, elevation (MASL), mean annual temperature
(MAT) and mean annual precipitation (MAP) of each site. Location name
Abbreviation of
Co-ordinates;
MASL (m)
Area size
Peat thickness1
Drainage
Drainage
MAT4
MAP5
location with
WGS (1984)
(ha)
(cm)
history2
class3
(◦C)
(mm)
land use
(CL: cropland,
GL: grassland,
FL: forest)
Birmensdorf
BI_FL
8.454, 47.357
560
2.6
95
Unclear; peat excavation nearby
s
9.2
1122
Brüttelen
B_CL
7.175, 47.033
438
3.1
290
Drained by 1864
d
9.9
1003
Chreienriet
F_FL
8.486, 47.434
440
6.9
330
Unclear; peat excavation site
d
9.4
1040
nearby until 1940
Cressier
C_CL, C_GL
7.047, 47.041
430
1.6, 1.6
120
Drained by 1864
d
10.0
1145
Gals
G_CL, G_GL, G_FL
7.065, 47.040
430
1.2, 0.8, 1.0
< 100
Drained by 1864
d
10.0
1145
Im Moos
IM_CL
9.573, 47.379
414
5.6
400
Drained by 1860; intensive
d
10.1
1297
drainage between 1942 and 1962
Katzensee
K_FL
8.495, 47.433
440
1.9
230
Unclear; peat excavation
s
9.4
1040
site nearby until 1940
Kirchenthurnen
K_GL
7.523, 46.821
540
9.9
302
Drained after 1860
d
8.9
1136
Lüchingen
L_CL
9.574, 47.378
414
4.4
400
Drained by 1860; intensive
d
10.1
1297
drainage between 1942 and 1962
Mühlethurnen
M_CL, M_GL
7.523, 46.821
540
8.2, 7.6
400
Drained after 1860; intensive
d
8.9
1136
7.523, 46.817
drainage in 1942
Rüthi
R_GL
9.536, 47.283
435
13.3
> 700
Drained by 1970
d
10.1
1533
Staatswald 1 + 2
SW1_FL, SW2_FL
7.092, 46.984
431
30.0, 48.4
142
drained by 1864; intensive
d
10.1
990
drainage in 1942
Summerigchopf
SK_GL, SK_FL
9.399, 47.212
1300
11.5, 2.2
147–202
Drain established between
s
6.0
1731
1935 and 1960
Treiten
T_CL
7.145, 47.010
439
29.3
238
Drained by 1864
d
9.9
1033
Vorderwengi
VW_GL, VW_FL
9.098, 47.196
1070
1.1, 0.9
100–146
grassland drained by 1935
s
6.2
2240
1 Peat thickness was determined by excavation of an additional peat core down to the underlying sediment layer. 2 Information on drainage was gained by viewing Siegfried topographical maps (1870–1949), considering
information on Swiss organic soils by Lüdi (1935) as well as aerial photographs. 3 Shallow drainage < 0.5 m s, deep drainage > 0.5 m d. 4 MAT is the average for the years 1981–2010. 2.4
Incubation experiment We selected at least two soil segments of each soil core
from depths between 0–30, 30–60 and 60–100 cm for incuba-
tion to determine SOM decomposability. Each segment was
divided in two subsegments, whereas one subsegment was
incubated at 10 ◦C and the other subsegment at 20 ◦C for
between 6 and 13 months. From the one location (M_CL)
where we had taken cores of > 100 cm length, we selected six
additional samples from the depth below 100 cm for incuba-
tion, resulting in a total of 560 incubated samples. Prior to in-
cubation, we thoroughly mixed every segment, removed vis-
ible roots and adjusted the water potential to −10 kPa using a
hanging water column. The sample weight was 53.9 ± 0.7 g
(mean ± standard error) at −10 kPa. Following the method of
Chapman (1971), we measured CO2 emission rates by means
of a Respicond VII analyser (Nordgren Innovation, Sweden)
over three to four measurement cycles of several weeks be-
tween November 2013 and March 2016. The measurement
principle is based on the change in electrical conductivity of
the NaOH solution with increasing uptake of CO2. In each
cycle, we vented the alkali CO2 traps (NaOH 0.6 M) of the
analyser regularly after 50–60 mg of CO2 had been emitted to
prevent O2 deficiency. In addition, we exchanged the NaOH
solution while the traps were vented. Between measurement
cycles, we kept the soil samples at the same temperature and
moisture level as during the cycles. While R is the gas constant (8.314 J K−1 mol−1) and T is
the temperature used for incubation (K). Ea =
R ×
ln(Q10)
( 1
T 1 −1
T 2 )
1000
(2) (2) Mixed linear models were used to analyse the effects of the
various soil parameters on SOM mineralization and their in-
teractions with land use. The function lmer from the pack-
age lme4 (Bates et al., 2015) was implemented using the
software R (R core Team, 2015) to run mixed linear mod-
els. Heteroscedasticity or departure from normality was as-
sessed graphically. In order to avoid heteroscedasticity, we
log-transformed topsoil C stocks and bulk density data. We
tested whether the factor “land use” had a significant in-
fluence on the variation of each of the analysed variables
(α = 0.05). 2.4
Incubation experiment To do this, the following two mixed models,
2 and 3, were run for each dependent variable and compared
using an ANOVA. C. Bader et al.: Peat decomposability in managed organic soils SOC content of the sample [g kg−1], and msample is the mass
of the soil sample [kg]. 150 g kg−1 were excluded from analysis. Soil carbon stocks
(t C ha−1) refer to the organic horizons summed over each
profile and thus do not include sediment layers that inter-
spersed the profiles. To determine Q10 values we applied the method used by
others (e.g. Hogg et al., 1992; Scanlon and Moore, 2000;
Wang et al., 2010; Wetterstedt et al., 2010; Hardie et al.,
2011), dividing the 10 000 h length of the incubation period
at 10 ◦C by the time span over which samples incubated
at 20 ◦C emitted the same amount of CO2-C per mg SOC
as those incubated at 10 ◦C emitted during 10 000 h. Given
that the same amount of SOC is lost at both temperatures,
changes in OM composition during incubation are also as-
sumed to be the same and thus differences in the rates are
assumed to reflect only the influence of temperature and not
that of differences in composition. Q10 values are known to
depend on incubation temperatures. In order to compare our
results with those of other studies we calculated the activa-
tion energy (Ea in kJ mol−1) required for decomposition of
SOC using Q10 values. www.biogeosciences.net/15/703/2018/ 5 MAP is the average of the years 1971–1991
derived from original data of MeteoSchweiz. es, 15, 703–719, 2018
www.biogeosciences.net/15/7 Biogeosciences, 15, 703–719, 2018 www.biogeosciences.net/15/703/2018/ 707 2.5
Data analysis We only used CO2 data taken after the first 3 days of each
measurement cycle for data analysis to avoid artefacts that
might have resulted from moving the samples and adjust-
ing their water content. Furthermore, we excluded all neg-
ative emission rate values (0.45 % out of 1700 CO2 measure-
ments taken on average per sample). Data gaps (83 % of the
timeline) between measurement cycles were filled by means
of interpolation using a robust linear regression on the log-
transformed data. The specific amount of SOC which was
emitted from a sample as CO2 during 10 000 h of incubation
at 10 or 20 ◦C [mg CO2-C g−1 SOC], L, was calculated as variable ∼land.use + random effects
(3)
variable ∼random effects
(4) variable ∼land.use + random effects
(3)
variable ∼random effects
(4) variable ∼land.use + random effects
(3)
variable ∼random effects
(4) (3)
(4) (4) Sampling depth, sampling location and site repetition were
included as random effects to account for the dependence
among segments of the same core and among cores from
the same sampling location, respectively. In addition, we in-
cluded bulk density, SOC, nitrogen, hydrogen and oxygen
contents as well as the emitted CO2 as further random effects,
given that there was no collinearity with the tested variable
and that the Akaikes criterion (AIC) of the models revealed
smaller scores with additional random effects. The additional
random effects used for each model are given in Tables 2
and 3. Further, we determined the significance of land-use-
specific differences (CL vs. FL, CL vs. GL, FL vs. GL) using
a least square means test for linear models (lsmeans pack-
age). L = (CO2 sample −CO2 blank) × 12.01
44.01
SOCsample × msample
,
(1) (1) where CO2 sample is the amount of CO2 emitted from the
sample over 10 000 h of incubation [mg CO2-C g−1 SOC],
CO2 blank is the median of ambient CO2 accumulation col-
lected in six blank vessels over more than 6 months and ex-
trapolated to 10 000 h (on average 27 mg), SOCsample is the www.biogeosciences.net/15/703/2018/ Biogeosciences, 15, 703–719, 2018 C. Bader et al.: Peat decomposability in managed organic soils 708 C. Bader et al.: Peat decomposability in managed organic soils . Soil pH, bulk density, SOC content, cumulated C stocks, C / N ratios, CO2 emissions and temperature sensitivity (Q10) disp
hree land-use types (cropland, grassland and forest) in relation to the profile depth (cm, y axis). CO2 emissions are displayed
mbols) and 20 ◦C (black symbols), while the area between dashed lines and error bars represents the standard errors of the me
ciences 15 703 719 2018
www biogeosciences net/15/703/ Figure 1. Soil pH, bulk density, SOC content, cumulated C stocks, C / N ratios, CO2 emissions and temperature sensitivity (Q10) displayed
for the three land-use types (cropland, grassland and forest) in relation to the profile depth (cm, y axis). CO2 emissions are displayed at 10
(open symbols) and 20 ◦C (black symbols), while the area between dashed lines and error bars represents the standard errors of the mean. Biogeosciences, 15, 703–719, 2018 C. Bader et al.: Peat decomposability in managed organic soils C. Bader et al.: Peat decomposability in managed organic soils C. Bader et al.: Peat decomposability in managed organic soils 709 Table 2. Results of land-use effect analysis for the whole soil profile as well as specifically in the topsoil (0–30 cm) and bottom layers
(> 30 cm), displayed for SOC concentration, C stocks, bulk density C / N, H / C and O / C ratios, CO2 emissions at 10 and 20 ◦C and the
resulting Q10 values. Table 2. Results of land-use effect analysis for the whole soil profile as well as specifically in the topsoil (0–30 cm) and bottom layers
(> 30 cm), displayed for SOC concentration, C stocks, bulk density C / N, H / C and O / C ratios, CO2 emissions at 10 and 20 ◦C and the
resulting Q10 values. Land-use interaction1
P values between specific land-uses2
Attribute
χ2 value
P value
CL vs. FL
CL vs. GL
FL vs. C. Bader et al.: Peat decomposability in managed organic soils GL
Soil pH
χ2(2) = 3.7
0.16
Soil pH (0–30 cm)
χ2(2) = 14.9
0.0006
0.0003
0.9
0.0021
Soil pH (> 30 cm)
χ2(2) = 0.7
0.7
SOC
χ2(2) = 10.7
0.005
0.14
0.28
0.002
SOC (0–30 cm)
χ2(2) = 14.5
0.0001
0.0001
0.5
0.009
SOC (> 30 cm)
χ2(2) = 3.0
0.2
Cumulative C stock
C stock (0–30 cm)
χ2(2) = 5.4
0.07
0.06
0.4
0.6
C stock (0–100 cm)
χ2(2) = 5.4
0.06
0.2
0.06
0.8
Bulk density
χ2(2) = 3.4
0.2
Bulk density (0–30 cm)
χ2(2) = 10.3
0.06
0.02
0.09
0.4
Bulk density (> 30 cm)
χ2(2) = 2.0
0.4
C / N ratio
χ2(2) = 5.9
0.05
0.06
0.9
0.1
C / N ratio (0–30 cm)
χ2(2) = 15.0
0.0005
0.0002
0.8
0.003
C / N ratio (> 30 cm)
χ2(2) = 2.2
0.3
H / C ratio
χ2(2) = 6.7
0.04
0.5
0.4
0.02
H / C ratio (0–30 cm)
χ2(2) = 6.3
0.04
0.6
0.4
0.03
H / C ratio (> 30 cm)
χ2(2) = 3.5
0.2
O / C ratio
χ2(2) = 11.5
0.003
0.4
0.7
0.001
O / C ratio (0–30 cm)
χ2(2) = 10.5
0.005
0.06
0.7
0.003
O / C ratio (> 30 cm)
χ2(2) = 8.5
0.014
0.008
1.0
0.003
CO2 10◦C
χ2(2) = 2.4
0.3
CO2 10 ◦C (0–30 cm)
χ2(2) = 2.9
0.2
CO2 10 ◦C (30–60 cm)
χ2(2) = 7.17
0.03
0.023
0.38
0.34
CO2 10 ◦C (> 60 cm)
χ2(2) = 1.6
0.4
CO2 20◦C
χ2(2) = 1.4
0.5
CO2 20 ◦C (0–30 cm)
χ2(2) = 6.5
0.04
0.03
0.2
0.7
CO2 20 ◦C (30–60 cm)
χ2(2) = 1.7
0.4
CO2 20 ◦C (> 60 cm)
χ2(2) = 1.2
0.5
Q10
χ2(2) = 3.5
0.2
Q10 (0–30 cm)
χ2(2) = 0.4
0.8
Q10 (30–60 cm)
χ2(2) = 1.1
0.6
Q10 (> 60 cm)
χ2(2) = 1.0
0.6
1 P value of ANOVA comparing linear mixed models with and without the factor “land-use type”. 2 P value emitted using least square means between land-use types. 1 P value of ANOVA comparing linear mixed models with and without the factor “land-use type”. 2 P value emitted using least square means between land-use types. in addition to Eq. (3). To determine the significance of depth-
specific differences, we used a least square means test as
mentioned before. in addition to Eq. (3). To determine the significance of depth-
specific differences, we used a least square means test as
mentioned before. C. Bader et al.: Peat decomposability in managed organic soils Table 3. Results of the depth influence analysis displayed for Q10 values, CO2 emissions at 10 and 20 ◦C, SOC contents, bulk densities,
C / N ratios, H / C ratios and O / C ratios. Ea values (not shown) had similar significance to Q10 values. Depth interaction
P values between specific depth classes
Attributes
χ2 values
P value
0–30 vs. 30–60
0–30 vs. > 60
30–60 vs. C. Bader et al.: Peat decomposability in managed organic soils We used the same approach to test the influence of the
factor “soil depth” on the target variables with interactions
between the three sampling depths (0–30, 30–60, > 60 cm)
using the model (5) Biogeosciences, 15, 703–719, 2018 710 Biogeosciences, 15, 703–719, 2018 www.biogeosciences.net/15/703/2018/ C. Bader et al.: Peat decomposability in managed organic soils C. Bader et al.: Peat decomposability in managed organic soils 711 C. Bader et al.: Peat decomposability in managed organic soils
711
Table 4. Coefficients of determination and correlation for CO2 emissions measured at 20 ◦C and different soil attributes as explanatory
variables (profile depth, SOC content, bulk density, C / N, O / C and H / C ratio). Ea values (not shown) behaved similarly to Q10 values. C. Bader et al.: Peat decomposability in managed organic soils
711
Table 4. Coefficients of determination and correlation for CO2 emissions measured at 20 ◦C and different soil attributes as explanatory
variables (profile depth, SOC content, bulk density, C / N, O / C and H / C ratio). Ea values (not shown) behaved similarly to Q10 values. C. Bader et al.: Peat decomposability in managed organic soils Table 4. Coefficients of determination and correlation for CO2 emissions measured at 20 ◦C and different soil attributes as explanatory
variables (profile depth, SOC content, bulk density, C / N, O / C and H / C ratio). Ea values (not shown) behaved similarly to Q10 values. Table 4. Coefficients of determination and correlation for CO2 emissions measured at 20 ◦C and different soil attributes as explanatory
variables (profile depth, SOC content, bulk density, C / N, O / C and H / C ratio). Ea values (not shown) behaved similarly to Q10 values. Figure 2. Van Krevelen plots of samples from (a) the upper 30 cm and (b) depths below 30 cm. Symbols represent averages for relevant core
segments from each site, black bars represent the standard error of the mean, grey surfaces represent the range of O / C and H / C for lignin,
carbohydrates and lipids, adapted from Preston and Schmidt (2006). Figure 2. Van Krevelen plots of samples from (a) the upper 30 cm and (b) depths below 30 cm. Symbols represent averages for relevant core
segments from each site, black bars represent the standard error of the mean, grey surfaces represent the range of O / C and H / C for lignin,
carbohydrates and lipids, adapted from Preston and Schmidt (2006). www.biogeosciences.net/15/703/2018/
Biogeosciences, 15, 703–719, 2018 Biogeosciences, 15, 703–719, 2018 C. Bader et al.: Peat decomposability in managed organic soils Attribute
0–30 cm
30–100 cm
CO2 at 20 ◦C
Intercept
cor
P value
R2
Intercept
cor
P value
R2
Depth (cm)
< 2.0 × 10−16
−0.23
0.01
0.05
0.0001
0.11
0.2
0.01
SOC (g kg−1)
8.06 × 10−6
0.31
0.001
0.09
7.6 × 10−6
−0.01
0.9
4.8 × 10−5
Bulk density (g kg−1)
< 2.0 × 10−16
−0.27
0.003
0.07
< 2 × 10−16
−0.19
0.02
0.04
C / N ratio
0.002
0.28
0.002
0.08
3.5 × 10−6
−0.1
0.5
0.004
O / C ratio
1.33 × 10−6
−0.02
0.9
0.0002
2.1 × 10−5
0.06
0.4
0.01
H / C ratio
0.046
0.03
0.8
0.0005
0.292
0.07
0.4
0.01
pH
2.3 × 10−8
−0.29
0.001
0.09
2.3 × 10−8
−0.25
0.003
0.06
CO2 at 10 ◦C
Depth (cm)
1.7 × 10−13
0.19
0.2
0.02
0.0002
0.10
0.2
0.02
SOC (g kg−1)
1.7 × 10−5
−0.13
0.04
0.03
4.8 × 10−16
−0.24
0.002
0.06
Bulk density (g kg−1)
< 2.0 × 10−16
−0.22
0.02
0.04
< 2.0 × 10−16
−0.01
0.9
9.1 × 10−5
C / N ratio
0.0007
0.31
0.0007
0.09
1.05 × 10−5
−0.03
0.7
0.0008
O / C ratio
3.8 × 10−15
0.01
1.0
3.4 × 10−5
3.4 × 10−5
0.10
0.2
0.01
H / C ratio
0.5
0.14
0.1
0.2
0.3
0.24
0.002
0.06
pH
6.6 × 10−5
−0.14
0.1
0.02
0.0001
−0.09
0.3
0.007
Q10 values
Depth (cm)
< 2.0 × 10−16
0.18
0.12
0.01
0.0001
−0.30
0.0001
0.08
SOC (g kg−1)
< 2.0 × 10−16
−0.16
0.03
0.03
< 2.0 × 10−16
0.12
0.06
0.02
Bulk density (g kg−1)
< 2.0 × 10−16
−0.02
0.6
−0.006
< 2.0 × 10−16
−0.02
0.4
−0.002
C / N ratio
8.1 × 10−16
−0.10
0.15
0.01
1.2 × 10−15
−0.08
0.4
−0.002
O / C ratio
5.3 × 10−15
0.20
0.07
0.02
< 2.0 × 10−16
−0.13
0.3
0.0002
H / C ratio
0.0001
0.06
0.2
0.004
2.9 × 10−8
−0.13
0.06
0.02
pH
1.02 × 10−9
−0.03
0.8
0.0006
2.7 × 10−8
−0.02
0.8
0.0003
Figure 2. Van Krevelen plots of samples from (a) the upper 30 cm and (b) depths below 30 cm. Symbols represent averages for relevant core
segments from each site, black bars represent the standard error of the mean, grey surfaces represent the range of O / C and H / C for lignin
carbohydrates and lipids, adapted from Preston and Schmidt (2006). C. Bader et al.: Peat decomposability in managed organic soils > 60
Q10 values
χ2(2) = 46.2
9.56 × 10−11
0.05
< 0.0001
< 0.0001
Q10 cropland
χ2(2) = 16.1
0.0003
0.8
0.0002
0.002
Q10 forest
χ2(2) = 5.2
0.08
Q10 grassland
χ2(2) = 29.5
3.9 × 10−7
0.06
< 0.0001
0.009
CO2 emission (10 ◦C)
χ2(2) = 6.1
< 0.05
0.03
0.7
0.2
Cropland (10 ◦C)
χ2(2) = 1.5
0.5
Forest (10 ◦C)
χ2(2) = 17.3
0.0001
0.0001
0.01
0.5
Grassland (10 ◦C)
χ2(2) = 7.9
0.02
0.01
0.3
0.5
CO2 emission (20 ◦C)
χ2(2) = 0.9
0.6
Cropland (20 ◦C)
χ2(2) = 8.4
0.015
0.02
1.0
0.09
Forest (20 ◦C)
χ2(2) = 13.2
0.0001
0.0007
< 0.05
0.6
Grassland (20 ◦C)
χ2(2) = 3.5
0.17
pH
χ2(2) = 6.0
Cropland
χ2(2) = 19.4
6.2 × 10−5
< 0.02
< 0.0001
0.09
Forest
χ2(2) = 36.8
1 × 10−8
0.004
< 0.0001
0.001
Grassland
χ2(2) = 27.4
1.1 × 10−6
0.0001
< 0.0001
0.9
SOC
χ2(2) = 157.7
< 2.2 × 10−16
< 0.0001
< 0.0001
0.0001
Cropland
χ2(2) = 158.2
< 2.2 × 10−16
< 0.0001
< 0.0001
< 0.0001
Forest
χ2(2) = 3.8
0.15
0.2
1.0
0.3
Grassland
χ2(2) = 143.2
< 2.2 × 10−16
< 0.0001
< 0.0001
< 0.0001
Bulk density
χ2(2) = 57.6
< 3.1 × 10−13
< 0.0001
< 0.0001
0.9
Cropland
χ2(2) = 312.6
< 2.2 × 10−16
< 0.0001
< 0.0001
< 0.0001
Forest
χ2(2) = 31.6
1.4 × 10−7
0.7
< 0.0001
< 0.0001
Grassland
χ2(2) = 49.9
1.4 × 10−11
< 0.0001
< 0.0001
0.08
C / N ratio
χ2(2) = 325.5
< 2.2 × 10−16
< 0.0001
< 0.001
< 0.0001
Cropland
χ2(2) = 199
< 2.2 × 10−16
< 0.0001
< 0.001
< 0.0001
Forest
χ2(2) = 41.2
1.5 × 10−9
0.4
< 0.001
< 0.0001
Grassland
χ2(2) = 152.8
< 2.2 × 10−16
< 0.0001
< 0.001
< 0.0001
H / C ratio
χ2(2) = 19.9
< 4.7 × 10−5
< 0.0001
< 0.0002
0.7
Cropland
χ2(2) = 46.7
7.3 × 10−11
< 0.0001
< 0.0001
0.3
Forest
χ2(2) = 1.9
0.38
Grassland
χ2(2) = 52.6
3.7 × 10−12
< 0.0001
< 0.0001
0.07
O / C ratio
χ2(2) = 22.0
0.0005
< 0.06
0.03
0.9
Cropland
χ2(2) = 0.01
1.0
Forest
χ2(2) = 2.6
0.3
Grassland
χ2(2) = 6.3
0.04
0.03
0.5
0.5 Biogeosciences, 15, 703–719, 2018
www.biogeosciences.net/15/703/2018/ Biogeosciences, 15, 703–719, 2018 www.biogeosciences.net/15/703/2018/ 3.1
SOM characteristics The samples incubated at 10 ◦C emitted 32.56 ± 1.39
mg CO2-C g−1 SOC, while samples incubated at 20 ◦C emit-
ted 74.06 ± 2.98 mg CO2-C g−1 SOC (Fig. 1). At 10 ◦C we
did not observe a land-use effect on CO2 emission (Fig. 1, Ta-
ble 2), but at 20 ◦C the topsoil samples from croplands emit-
ted less CO2 than those from forests. This effect occurred
due to extraordinarily high emissions of the samples from
two grassland and two forest sites (VW_GL, VW_F, SK_GL,
SK_F) (Fig. 3). Those four sites experienced the least inten-
sive drainage. Furthermore, these sampling sites were situ-
ated at high altitude in a pre-alpine environment with lower
mean annual temperatures and higher precipitation than at
the other sites (Table 1). In pairwise comparisons between
adjacent sites of different land use (i.e. VW_GL vs. VW_FL,
SK_GL vs. SK_FL, C_CL vs. C_GL and G_CL vs. G_GL
and G_FL; Table 1), land-use effects were only found for the
last site (Fig. 3). Soil pH, SOC content, C / N ratio and bulk density showed
significant land-use effects (Fig. 1, Table 2, Table S1). The
lowest soil pH values were found in the forest topsoil sam-
ples, whereas SOC content and C / N ratio were the highest
in these samples. Bulk density was highest in the cropland
topsoils. Below 30 cm depth, soil pH, SOC content, C / N ra-
tio and bulk density showed no land-use effect. In the forest soil profiles, soil pH overall increased with
depth, whereas it decreased in the grassland and cropland
soils (Table 3). Also bulk density decreased with depth in
the grassland and cropland soils, while SOC content and
C / N ratio increased. In the forest soils, SOC content, bulk
density and C / N ratio did not differ between topsoil (0–
30 cm depth) and subsoil samples (30–60 cm depth); how-
ever, below 60 cm depth SOC was slightly lower than above,
while bulk density and C / N ratio were higher than above
60 cm depth (Fig. 1, Table 3). The cumulated topsoil C stocks
showed no land-use effects but tended to be larger in crop-
land and forest than in grassland soils over the entire profile
(Fig. 1, Table 2). C. Bader et al.: Peat decomposability in managed organic soils 712 Figure 3. CO2 emissions at 10 (open symbols) and 20 ◦C (grey symbols) displayed for upper soil layers (0–30 cm) and bottom layers (30–
100 cm) of all sampling locations. Sampling locations are sorted from the lowest to highest CO2 emissions in (a). Same order of sites was
taken for (b). Error bars represent the standard error of the mean. If a symbol lacks error bars, the standard error was smaller than the symbol
size or, as in the cases of upper soil layers SW1 and SW2, n = 2. www.biogeosciences.net/15/703/2018/ 712
C. Bader et al.: Peat decomposability in managed organic soils
Figure 3. CO2 emissions at 10 (open symbols) and 20 ◦C (grey symbols) displayed for upper soil layers (0–30 cm) and bottom layers (30–
100 cm) of all sampling locations. Sampling locations are sorted from the lowest to highest CO2 emissions in (a). Same order of sites was
taken for (b). Error bars represent the standard error of the mean. If a symbol lacks error bars, the standard error was smaller than the symbol
size or, as in the cases of upper soil layers SW1 and SW2, n = 2. C. Bader et al.: Peat decomposability in managed organic soils C. Bader et al.: Peat decomposability in managed organic soils 713 Table 5. Incubation studies with organic and mineral soils at different moisture levels, soil depths and temperatures. If moisture level stays moist, samples were incubated directly
after being retrieved from the field, while saturated samples were incubated under wetter, i.e. anaerobic conditions. Similar stands for samples whose water content was similar to our
samples. Soil
Region
Moisture
◦C
Days
C / N
Depths
CO2 emissions
Q10
Ea
level
(cm)
(mg CO2-C g−1 SOC d−1)
(kJ mol−1)
This study
Drained Fens
Switzerland
−10 kPa
10
416
17.7
5–150
0.078
2.57
69.5
20
0.18
Chapman and Thurlow (1998)
Drained/undrained
UK (Scotland)
Moist
10
unclear
0–20
0.051∗
3.2
80.0
Bogs
20
0.030∗
Grover and Baldock (2012)
Bog
Australia
Moist
20
38
15–25
5–110
0.13–0.78
Hahn-Schöflet al. (2011)
Fen
Germany
Saturated
20
346
15.3
0.013
Hardie et al. (2011)
Bog
UK
Drier
5
6
30
0-30
0.027
3.66
86.4
10
0.049
15
0.093
Hartley and Ineson (2008)
Mineral soil
UK
Drier
10
124
unclear
0.046
3.25
81.3
20
0.074
Hilasvuori et al. (2013)
Bog
Finland
Moist
10
short
83
0–44
0.016∗
2
22.7
20
0.061∗
Hogg et al. (1992)
Fen
Canada
Similar
8
120
40.6
5–40
0.083
1.9–2.2
62.0
16
0.282
24
0.381
Karhu et al. (2014)
Organic soil
UK (Scotland)
Similar
11.4
174
28.6
0–10
0.065
Organic soil
UK (Scotland)
7.6
174
36.5
0-10
0.105
Organic soil
UK
13.3
174
18.7
0–10
0.201
Mineral soil
UK
11.4
174
13.3
0–10
0.101
Mineral soil
Spain
21.5
174
14.3
0–10
0.293
Mineral soil
Spain
19
174
13.0
0–10
0.345
Mineral soil
Spain
19
174
18.6
0–10
0.448
Mineral soil
Italy
18.4
174
13.2
0–10
0.129
Karhu et al. (2010)
Mineral soil
Finland
8–25
540
–
0–30
–
3.0
45.0
Koch et al. (2007)
Organic soil
Austria
Moist
0–30
25
21.6
0–5
–
2.0
31.9
Leifeld and Fuhrer (2005)
Mineral soil
Switzerland
Similar
25
707
7.85
5–35
0.12
4.6
110.8
Neff and Hooper (2002)
Organic soil
USA (Alaska)
Unclear
10
352
34.6
0–10
0.32
1.9
22.9
30
0.75
Plante et al. (2010)
Mineral soil
USA
Similar
15
56
0–20
0.28
1.36–1.79
31.7
Reiche et al. (2010)
Fen
Germany
Saturated
15
31
30.1
0–40
0.0022
Reichstein et al. (2000)
Mineral soil
Switzerland
Similar
5
104
30.3
0.05
2.5–2.7
65.9
15
0.14
25
0.22
Scanlon and Moore (2000)
Fen
Canada
Moist
4
12
43
5–45
0.227
2.0
45.8
14
0.109
Wang et al. 3.1
SOM characteristics At 10 ◦C, CO2 emissions of the topsoil samples from all
sites together were higher than from samples taken at 30
to 60 cm depth, independent of land use (Table 3). When
analysing the influence of depth separately by land-use type,
this effect was found to only manifest in grassland and forest
but not in cropland soils. We found no overall depth effect
at 20 ◦C, but CO2 emissions of topsoil samples from forests
were higher than those of samples taken at lower depths,
whereas we found the opposite case for the cropland soils. Despite these depth effects, the general relationship between
emissions and soil depth was weak and not consistent in its
sign (Table 4). The molar H / C and O / C ratios of the organic matter fell
between the typical values of the ratios for carbohydrates and
lignin, which is displayed in a Van Krevelen plot (Fig. 2). The
lowest values of both ratios were found in the forest soils,
the highest in the grassland and cropland topsoils. Both ratios
were lower in the topsoils than in the subsoils of the cropland
and grassland sites, while there was no difference between
the two depths in the forest soils (Table 3). At depths below
30 cm, the O / C ratio was lower in the forest soils than in the
other soils but without a land-use effect in the H / C ratio. Over the course of the incubation, CO2 emissions in-
creased for 40 % of the samples, as revealed in Table S1 by
positive slopes of the regression lines. These increases were
independent of land use. In total, the CO2 emissions from Biogeosciences, 15, 703–719, 2018 www.biogeosciences.net/15/703/2018/ C. Bader et al.: Peat decomposability in managed organic soils 4.1
SOM characteristics The SOC contents, bulk densities and C / N ratios found in
the deeper parts of soil profiles presented here were close
to values that are typical for undisturbed peat (Grover and
Baldock, 2012; Loisel et al., 2014). They also indicate that
soils of our study sites were characteristic of European fens
and resembled typical properties of managed organic soils
(Berglund, 1995; Kechavarzi et al., 2010; Eickenscheidt et
al., 2015; Krueger et al., 2015; Wüst-Galley et al., 2016;
Brouns et al., 2016). Several studies assume that deeper layer
peat of managed organic soils is less decomposed (Ewing and
Vepraskas, 2006; Rogiers et al., 2008; Leifeld et al., 2011a, b;
Krueger et al., 2015; Wüst-Galley et al., 2016). We therefore
interpret the different SOM characteristics found in the top-
soils of our samples as indicators of advanced decomposition
triggered by drainage. The land-use-specific differences manifested in different
topsoil SOC contents and C / N ratios (highest under forest)
and topsoil bulk densities (lowest under forest). The higher
forest C / N ratios might be explained by absence of the use
of N fertilizers and lower bulk densities by lower traffic with
field machinery. In addition, differences in C / N between
land-use types may also suggest that peat decomposition was
less advanced in forests compared to croplands and grass-
lands. Further, depth effects are lowest in forest soils, indi-
cating a lower impact of soil management that could also
result in a lower decomposition of forest topsoils. The rela-
tively high carbon stocks found in cropland top soils are most
likely the result of subsidence after drainage and compaction
from field traffic, leading to increased soil bulk density in
the uppermost layers. This effect, with respect to C stocks,
overrides the overall much smaller C concentration in agri-
culturally managed organic soils. 4
Discussion The H / C and O / C ratios reflect the mixing ratio of these
two SOM sources. The H / C and O / C ratios in forest top-
soils were lower than of those under cropland and grassland
and did not change with depth. Interpreting these lower H / C
and O / C ratios in the forest topsoils as indicators of more
advanced peat decomposition (Klavins et al., 2008; Leifeld
et al., 2012; Biester et al., 2014; Wüst-Galley et al., 2016)
would be in contradiction to our conjecture that land manage-
ment effects on peat decomposition, revealed by SOC, bulk
density and C / N ratio, are less pronounced for forests. We
rather argue that the reason for the low H / C and O / C ratio
in the forest soils is a higher abundance of lignin rich (wood
derived) plant residues. A second mechanism for comparably
higher O / C and H / C ratios in cropland and grassland soils
could be that peat loss in the uppermost layers was higher
under agriculture than under forest, resulting in a relatively
higher share of SOM from recent inputs. Considering all the
available evidence of SOM characteristics, we conclude that
peat decomposition is less advanced in forest soils than in
agricultural soils and also in line with field flux measure-
ments on managed organic soils that typically show faster
decomposition in croplands and grasslands than in forests
(IPCC, 2014). C. Bader et al.: Peat decomposability in managed organic soils 714 these samples were almost 50 % higher than those from the
other samples that instead showed a trend of decreasing emis-
sions. of polyphenols and aromatic carbon with depth, which is in
line with the current understanding of peat development in
peatlands (Cocozza et al., 2003; Zaccone et al., 2007; Klavins
et al., 2008; Delarue et al., 2011; Leifeld et al., 2012, 2017). The increased H / C and O / C ratios in the grass- and crop-
land topsoils can be attributed to inputs of fresh plant litter
to the topsoil via above- and belowground residues, as such
residues are rich in carbohydrates (Koegel-Knabner, 2002). In a previous study, in which we used stable and radiocarbon
isotopes to label the SOC of two of the studied soils (C_CL
and C_GL in Table 1), at least 20 % of topsoil organic mat-
ter was not peat but derived from recent plant litter (Bader et
al., 2017). The results further indicated that the OM derived
from these fresh plant residues was a source of labile C that
contributed more to decomposition than the old, peat-derived
SOM. Mean Q10 values were 2.57 ± 0.05. The Q10 did not differ
between the three land use types. It was lower below 60 cm
depth in the cropland and grassland but not in the forest soils
(Fig. 1, Table 3). Activation energies (Ea) calculated from
Q10 values ranged around 48.1 and 123.5 kJ mol−1 and like
Q10 values decreased with depth. There were significant re-
lationships between CO2 emission and SOC content, bulk
density and C / N ratio in general but they were weak (Ta-
ble 4). The Q10 values showed similar relationships to these
soil variables as CO2 emission. C. Bader et al.: Peat decomposability in managed organic soils (2010)
Organic soil
China
Similar
5–20
40
28.5
10–30
0.31
2.2
53.3
Wickland and Neff (2008)
Organic soil
Canada
Similar
10
57
24.7
2–30
0.35
1.7
36.6
20
0.79
Yavitt et al. (2000)
Bog
Canada
Moist
12–22
2
0–54
–
1.4
32.5
∗Study authors are not specific about the SOC content of peat; therefore we assumed it to be 400 g kg−1, according to the findings of undisturbed bog peat (Loisel et al., 2014). www.biogeosciences.net/15/703/2018/
Biogeosciences, 15, 703–719, 201 www.biogeosciences.net/15/703/2018/ C. Bader et al.: Peat decomposability in managed organic soils C. Bader et al.: Peat decomposability in managed organic soils 715 C. Bader et al.: Peat decomposability in managed organic soils Figure 4. Comparison of daily CO2 emission rates from this study (box plots) with rates found during other incubation studies (organic
soils and mineral soils). The curves represent the modelled CO2 emission rates for organic soils from other studies (solid thick line)
rate = 0.06 × 100.08t and mineral soils (dashed thin line) rate = 0.09 × 100.05t for temperatures between 0 and 30 ◦C. sition rates in the top 30 to 50 cm (Hogg et al., 1992; Scanlon
and Moore, 2000; Wang et al., 2010; Hardie et al., 2011), we
found a decrease of specific CO2 release with depth. How-
ever, the relationship between CO2 emissions and depth was
rather weak in our case and not consistent for both incuba-
tion temperatures and the different land uses. Compared to
the studies on unmanaged organic soils, reporting declines
of a factor 2 to 30 (Hogg et al., 1992; Scanlon and Moore,
2000; Wang et al., 2010; Hardie et al., 2011), our differ-
ences were substantially smaller. Drainage and decadal agri-
cultural use of the studied soils led to more intense decom-
position processes in the topsoil, resulting in little depth in-
teraction or, for croplands, sometimes maybe even a reversal
of decomposability. Further, the abundance and decompos-
ability of crop residues have to be considered as a substan-
tial CO2 source. For two topsoils (C_GL and C_CL), Bader
et al. (2017) showed that at least 20 % of the SOM is crop
residue derived and responsible for 40 % of the emitted CO2. Assuming that the abundance of crop and plant residues is
highest in topsoils, it might be possible that decomposabil-
ity of peat-derived SOM either does not depend on depth or
topsoil peat decomposes at smaller rates. Therefore, we can-
not confirm our first hypothesis of decreasing decomposition
rates with depth. of the regression line that is plotted through results from
studies from other, mostly intact or little degraded organic
soils. Hence, the pronounced oxidative decomposition after
long periods of drainage might result in a relatively smaller
labile SOC pool, but the large variability between experi-
mental set-ups, incubation lengths and water contents among
incubation studies prevents a stronger line of interpretation. 4.2
CO2 emissions and temperature sensitivity of
decomposition The studied soils emitted, on average, ca. 5–10 % of their
SOC (20 ◦C) as CO2, calculated for an incubation duration
of 1 year. The advanced decomposition state of many of the
samples might give reason to expect that CO2 rates are be-
low that of more intact peat or mineral topsoils that con-
tain a larger fraction of recent plant residues. To understand
whether SOM in the studied organic soils is particularly sta-
ble, we compared its average daily carbon loss with data
from studies that used undisturbed to extensively managed
organic soils or mineral soils (Table 5, Fig. 4). Indeed, our
values are on average below those from other organic soil
studies. However, their range overlaps with the uncertainty The H / C and O / C ratios in the deeper layers of the stud-
ied soils were similar to those found in undisturbed bogs and
drained bogs used for forestry in Switzerland (Zaccone et al.,
2007; Wüst-Galley et al., 2016). They indicate an enrichment Biogeosciences, 15, 703–719, 2018 www.biogeosciences.net/15/703/2018/ C. Bader et al.: Peat decomposability in managed organic soils
715
Figure 4. Comparison of daily CO2 emission rates from this study (box plots) with rates found during other incubation studies (organic
soils and mineral soils). The curves represent the modelled CO2 emission rates for organic soils from other studies (solid thick line)
rate = 0.06 × 100.08t and mineral soils (dashed thin line) rate = 0.09 × 100.05t for temperatures between 0 and 30 ◦C. www.biogeosciences.net/15/703/2018/ C. Bader et al.: Peat decomposability in managed organic soils Interestingly, the regression lines modelled for organic and
mineral soils did not deviate significantly from each other. Therefore, the pools size of labile carbon, indicated by the
decomposition rates, seem not to differ between these soil
classes. This comparison suggests that accumulation of re-
cent, labile plant materials that presumably account for most
of the evolved CO2 is not systematically different between
mineral and organic soils. Samples showing an increase in CO2 emission rate over
time were predominantly of subsoil origin, where SOC con-
tents and C / N ratios indicate a lower decomposition than in
the topsoil. Furthermore, based on the information we have
on land use and drainage depths, it appears that most of these
samples were taken from soil layers that were protected from
intensive decomposition by water saturation. The long incu-
bation period in our study might have given aerobic decom-
poser communities time to develop and grow, whereas time
might not have been sufficient in shorter studies. As Table 5 shows, the Q10 values found in our study
(2.74 ± 0.06) were higher than Q10 values found elsewhere
for similar sampling depths but in unmanaged organic soils Like other studies on extensively managed or undisturbed
organic soils that investigated depth interaction of decompo- C. Bader et al.: Peat decomposability in managed organic soils 716 (Chapman and Thurlow, 1998; Hamdi et al., 2013; Hardie
et al., 2011; Hilasvuori et al., 2013; Hogg et al., 1992;
Scanlon and Moore, 2000; Yavitt et al., 2000). Also the
temperature-independent Ea was higher in the studied sam-
ples (69.4 ± 3 kJ mol−1) than in most other studies on undis-
turbed organic soils (47.4 ± 7.2 kJ mol−1) (Table 5). How-
ever, three studies (Chapman, 1971; Hardie et al., 2011;
Hogg et al., 1992) found similar or higher Ea values in
northern organic soils. In the case of Chapman and Thur-
low (1998) they were also managed as grassland or forest,
whereas the other studies used peat from undisturbed or-
ganic soils. Nevertheless, the high Ea of the studied samples
might reflect the change in chemical peat composition with
decomposition after drainage towards higher recalcitrance. In contrast to other studies on unmanaged organic soils re-
porting no trend or increasing Q10 values with depth (Scan-
lon and Moore, 2000; Wang et al., 2010; Hardie et al., 2011;
Hilasvuori et al., 2013), the cropland and grassland profiles
in our study had a lower Q10 below the 60 cm depth. Var-
ious studies on SOM decomposition used Q10 values as an
indicator of SOM recalcitrance (Hogg et al., 1992; Biasi et
al., 2005; Davidson and Janssens, 2006; Conant et al., 2008,
2011; Hartley and Ineson, 2008; Hilasvuori et al., 2013). Considering that the presence of labile crop residues would
decrease Q10 in the topsoil rather than in the subsoil, the
higher topsoil Q10 may be explained by an extended accu-
mulation of recalcitrant moieties. This proposed a high abun-
dance of recalcitrant moieties in topsoils of degrading or-
ganic soils is in line with the reported differences in SOM
composition in different layers as well with the pattern of
CO2 emissions. The latter show no substantial difference
with depth and indicate that a higher fraction of recent and
labile plant residues in topsoils is counterbalanced by a high
recalcitrance of the highly degraded peat. Comparing radio-
carbon concentrations in SOC and emitted CO2 of two sites
also used for this study (C_CL, C_GL), Bader et al. (2017)
estimated that SOC from plant residue inputs is more labile
than peat. The measured radiocarbon contents for SOC were
75 to 80 pMC and therefore indicated that peat of the topsoil
must have experienced a substantial decomposition. al., 2012). C. Bader et al.: Peat decomposability in managed organic soils However, these studies focused mainly on single
profiles of undisturbed or extensively used organic soils. A
recent study investigated relationships between SOM param-
eters and decomposition rates of German organic soils under
controlled conditions (Säurich et al., 2017). These authors
mostly studied strongly disturbed fens with similar proper-
ties to the soils in our study. Besides SOC contents, soil pH
and C / N ratios, Säurich et al. (2017) focused on other soil
nutrients, stable isotopes and microbial biomass. In line with
our results, they could not identify strong proxies for SOC
decomposition by means of simple chemical attributes. In order to explain the weak relationships between SOM
composition and CO2 release it should be considered that, in
our case, the emitted CO2 comprised, on average, only 3.2–
7.4 % of the total SOC, while the analysed SOM parameters
in this and other studies represent bulk SOM. Our methods
allowed us to gain a broad overview of the chemical compo-
sition of SOM, while decomposition might more tightly be
bound to the abundance of specific OM moieties. Although land-use-affected SOM characteristics, such as
elemental contents and their ratios, the amount of CO2 emit-
ted from the soils did not differ among the three types of land
use. We therefore have to also reject our third hypothesis of
a higher SOM decomposition rate in forest topsoils. We as-
sume that long-lasting drainage and management might have
resulted in an equivalent decomposition of most of the labile
OM, along with its intrinsic decomposability. www.biogeosciences.net/15/703/2018/ Biogeosciences, 15, 703–719, 2018 www.biogeosciences.net/15/703/2018/ References Bader, C., Müller, M., Schulin, R., and Leifeld, J.: Amount and sta-
bility of recent and aged plant residues in degrading peatland
soils, Soil Biol. Biochem., 109, 167–175, 2017. Couwenberg, J., Dommain, R., and Joosten, H.: Greenhouse gas
fluxes from tropical peatlands in south-east Asia, Global Change
Biol., 16, 1715–1732, 2010. Bates, D., Maechler, M., Bolker, B. M., and Walker, S. C.: Fitting
Linear Mixed-Effects Models Using lme4, J. Stat. Softw., 67, 1–
48, 2015. Davidson, E. A. and Janssens, I. A.: Temperature sensitivity of soil
carbon decomposition and feedbacks to climate change, Nature,
440, 165–173, 2006. Beer, J., Lee, K., Whiticar, M., and Blodau, C.: Geochemical con-
trols on anaerobic organic matter decomposition in a northern
peatland, Limnol. Oceanogr., 53, 1393–1407, 2008. Delarue, F., Laggoun-Défarge, F., Disnar, J. R., Lottier, N., and
Gogo, S.: Organic matter sources and decay assessment in a
Sphagnum-dominated peatland (Le Forbonnet, Jura Mountains,
France): impact of moisture conditions, Biogeochemistry, 106,
39–52, 2011. Berglund, K.: Optimal drainage depth of five cultivated organic
soils, Swed. J. Agr. Res., 25, 185–196, 1995. Biasi, C., Rusalimova, O., Meyer, H., Kaiser, C., Wanek, W., Bar-
sukov, P., Junger, H., and Richter, A.: Temperature-dependent
shift from labile to recalcitrant carbon sources of arctic het-
erotrophs, Rapid Commun. Mass Sp., 19, 1401–1408, 2005. Eickenscheidt, T., Heinichen, J., and Drösler, M.: The greenhouse
gas balance of a drained fen peatland is mainly controlled by
land-use rather than soil organic carbon content, Biogeosciences,
12, 5161–5184, https://doi.org/10.5194/bg-12-5161-2015, 2015. Biester, H., Knorr, K.-H., Schellekens, J., Basler, A., and Hermanns,
Y.-M.: Comparison of different methods to determine the degree
of peat decomposition in peat bogs, Biogeosciences, 11, 2691–
2707, https://doi.org/10.5194/bg-11-2691-2014, 2014. Ewing, J. M. and Vepraskas, M. J.: Estimating primary and sec-
ondary subsidence in an organic soil 15, 20, and 30 years after
drainage, Wetlands, 26, 119–130, 2006. Flisch, R., Sinaj, S., Charles, R., and Richner, W.: GRUDAF 2009. Grundlagen für die Düngung im Acker- und Futterbau, Agrar-
forschung, 16, 1–100, 2009. Boddy, E., Roberts, P., Hill, P. W., Farrar, J., and Jones, D. L.:
Turnover of low molecular weight dissolved organic C (DOC)
and microbial C exhibit different temperature sensitivities in Arc-
tic tundra soils, Soil Biol. Biochem., 40, 1557–1566, 2008. Freeman, C., Ostle, N. J., Fenner, N., and Kang, H.: A regulatory
role for phenol oxidase during decomposition in peatlands, Soil
Biol. Biochem., 36, 1663–1667, 2004. Brouns, K., Keuskamp, J. C. Bader et al.: Peat decomposability in managed organic soils 717 Cannell, M., Dewar, R., and Pyatt, D.: Conifer Plantations on
Drained Peatlands in Britain – a Net Gain or Loss, Forestry, 66,
353–369, 1993. Data availability. The underlying research data are provided in the
supplement. Chapman, S. B.: A simple conductimetric soil respirometer for field
use, Oikos, 22, 348–353, 1971. Competing interests. The authors declare that they have no conflict
of interest. Competing interests. The authors declare that they have no conflict
of interest. Cocozza, C., D’Orazio, V., Miano, T. M., and Shotyk, W.: Char-
acterization of solid and aqueous phases of a peat bog profile
using molecular fluorescence spectroscopy, ESR and FT-IR, and
comparison with physical properties, Org. Geochem., 34, 49–60,
2003. Acknowledgements. This study was funded by the Swiss National
Science Foundation in the framework of the National Research
Programme “Sustainable Use of Soil as a Resource”, grant number
406840_143145. We are grateful to Chloé Wüst-Galley for help
with site selection and her statistical support, and to Robin Giger
for analysing the soil samples. Conant, R. T., Drijber, R. A., Haddix, M. L., Parton, W. J., Paul,
E. A., Plante, A. F., Six, J., and Steinweg, J. M.: Sensitivity of
organic matter decomposition to warming varies with its quality,
Global Change Biol., 14, 868–877, 2008. Conant, R. T., Ryan, M. G., Agren, G. I., Birge, H. E., Davidson,
E. A., Eliasson, P. E., Evans, S. E., Frey, S. D., Giardina, C. P.,
Hopkins, F. M., Hyvönen, R., Kirschbaum, M. U. F., Lavallee, J. M., Leifeld, J., Parton, W. J., Steinweg, M., Wallenstein, M. D.,
Wetterstedt, J. Å. M., and Bradford, M. A.: Temperature and soil
organic matter decomposition rates–synthesis of current knowl-
edge and a way forward, Global Change Biol., 17, 3392–3404,
2011. Edited by: Jens-Arne Subke Edited by: Jens-Arne Subke Reviewed by: three anonymous referees Reviewed by: three anonymous referees 5
Conclusions Chemical characteristics of SOM indicated advanced peat
decomposition in the uppermost layers of drained organic
soils used as cropland or grasslands. Under controlled mois-
ture and temperature conditions, CO2 emissions from peat
samples had a similar variability, as found for in situ CO2
flux experiments on drained organic soils. Therefore, car-
bon loss from drained organic soils cannot be explained en-
tirely by climate or drainage depth. However, simple chem-
ical characteristics of SOM, as used in this study, were not
specific enough to explain the variability in CO2 emissions
or the temperature sensitivity of decomposition under con-
trolled conditions. Despite CO2 emissions being occasion-
ally higher in topsoils, probably derived from accrual of la-
bile plant residues, the remarkable decrease of Q10 values
with depth suggested that the relative content of recalcitrant
peat-derived SOM was high in topsoils of managed organic
soils, indicating advanced degradation in these uppermost
layers. It is therefore necessary to quantify the fraction of
peat-derived SOM throughout a drained soil profile in order
to verify this assumption. Yet we understand from the simi-
lar magnitude of CO2 emission rates found above and below
30 cm depth that future peat loss will occur at similar or even
faster rates, assuming an increasing mean annual tempera-
ture. p
p
It is remarkable that despite the controlled conditions in
our incubation experiment the variation in cumulative loss of
initial SOC of between 0.6 and 42.3 % (Fig. 4) was similar
to or even larger than that observed in field flux measure-
ments (IPCC, 2014). This large variability suggests that the
composition of SOM is of similar importance to drainage,
climate and other site factors in controlling CO2 emissions
from drained organic soils. Nevertheless, the relationships
between the measured SOM parameters used to assess the
biochemical decomposability, CO2 emissions and Q10 values
were rather weak and thus do not support our second hypoth-
esis. This stands in contrast to other studies which concluded
that chemical composition is a major factor of SOM decom-
posability in organic soils (Scanlon and Moore, 2000; Koch
et al., 2007; Reiche et al., 2010; Hardie et al., 2011; Leifeld et www.biogeosciences.net/15/703/2018/ www.biogeosciences.net/15/703/2018/ Biogeosciences, 15, 703–719, 2018 The Supplement related to this article is available online
at https://doi.org/10.5194/bg-15-703-2018-supplement. Chapman, S. J. and Thurlow, M.: Peat respiration at low tempera-
tures, Soil Biol. Biochem. 30, 1013–1021, 1998. Chimner, R. A. and Cooper, D. J.: Influence of water table levels on
CO2 emissions in a Colorado subalpine fen: an in situ microcosm
study, Soil Biol. Biochem., 35, 345–351, 2003. Clymo, R. S.: The limits to peat bog growth, Philos. T. Roy. Soc. B,
303, 605–654, 1984. References A., Potkamp, G., Verhoeven, J. T. A., and
Hefting, M. M.: Peat origin and land use effects on microbial ac-
tivity, respiration dynamics and exo-enzyme activities in drained
peat soils in the Netherlands, Soil Biol. Biochem., 95, 144–155,
2016. Grover, S. P. P. and Baldock, J. A.: Carbon chemistry and mineral-
ization of peat soils from the Australian Alps, Eur. J. Soil Sci.,
63, 129–140, 2012. Hahn-Schöfl, M., Zak, D., Minke, M., Gelbrecht, J., Augustin,
J., and Freibauer, A.: Organic sediment formed during inunda-
tion of a degraded fen grassland emits large fluxes of CH4 and Byrne, K. A. and Farrell, E. P.: The effect of afforestation on soil
carbon dioxide emissions in blanket peatland in Ireland, Forestry,
78, 217–227, 2005. C. Bader et al.: Peat decomposability in managed organic soils Leifeld, J., Alewell, C., Bader, C., Krüger, J. P., Mueller, C. W.,
Sommer, M., Steffens, M., and Szidat, S.: Pyrogenic carbon con-
tributes substantially to carbon storage in intact and degraded
Northern peatlands, Land Degrad. Dev., doi:10.1002/ldr.2812,
2017. Höper, H.: Freisetzung von Treibhausgasen aus deutschen Mooren,
Telma, 37, 85–116, 2007. IPCC: 2013 Supplement to the 2006 IPCC Guidelines for National
Greenhouse Gas Inventories, edited by: Wetlands, Hiraishi, T.,
Krug, T., Tanabe, K., Srivastava, N., Baasansuren, J., Fukuda,
M., and Troxler, T. G., IPCC, Switzerland, 2.1–2.79, 2014. Loisel, J., Gallego-Sala, A. V., and Yu, Z.: Global-scale pattern of
peatland Sphagnum growth driven by photosynthetically active
radiation and growing season length, Biogeosciences, 9, 2737–
2746, https://doi.org/10.5194/bg-9-2737-2012, 2012. Loisel, J., Yu, Z., Beilman, D. W., Camill, P., Alm, J., Amesbury,
M. J., Anderson, D., Andersson, S., Bochicchio, C., Barber,
K., Belyea, L. R. Bunbury, J., Chambers, F. M., Charman, D. J., De Vleeschouwer, F., Fiałkiewicz-Kozieł, B., Finkelstein, S. A., Gałka, M., Garneau, M., Hammarlund, D., Hinchcliffe, W.,
Holmquist, J., Hughes, P., Jones, M. C., Klein, E. S., Kokfelt, U.,
Korhola, A., Kuhry, P., Lamarre, A., Lamentowicz, M., Large,
D., Lavoie, M., MacDonald, G., Magnan, G., Mäkilä, M., Mal-
lon, G., Mathijssen, P., Mauquoy, D., McCarroll, J., Moore, T. R., Nichols, J., O’Reilly, B., Oksanen, P., Packalen, M., Peteet,
D., Richard, P. J. H., Robinson, S., Ronkainen, T., Rundgren, M.,
Sannel, A. B. K., Tarnocai, C., Thom, T., Tuittila, E. S., Turetsky,
M., Väliranta, M., van der Linden, M., van Geel, B., van Bellen,
S., Vitt, D., Zhao, Y., and Zhou, W.: A database and synthesis of
northern peatland soil properties and Holocene carbon and nitro-
gen accumulation, The Holocene, 24, 1028–1042, 2014. Joosten, H.: The global peatland CO2 picture. Peatland status and
drainage related emissions in all countries of the world, Wetlands
International, Ede, NL, 36 pp., 2010. Karhu, K., Fritze, H., Hämäläinen, K., Vanhala, P., Jungner, H.,
Oinonen, M., Sonninen, E., Tuomi, M., Spetz, P., Kitunen, V.,
and others: Temperature sensitivity of soil carbon fractions in
boreal forest soil, Ecology, 91, 370–376, 2010. olmquist, J., Hughes, P., Jones, M. C., Klein, E. S., Kokfelt, U., ola, A., Kuhry, P., Lamarre, A., Lamentowicz, M., Large, Karhu, K., Auffret, M. D., Dungait, J. A., Hopkins, D. W., Prosser,
J. I., Singh, B. K., Subke, J.-A., Wookey, P. A., Agren, G. I.,
Sebastia, M.-T., Gouriveau, F. Bergkvist, G., Meir, P., Notting-
ham, A. C. Bader et al.: Peat decomposability in managed organic soils 718 CO2, Biogeosciences, 8, 1539–1550, https://doi.org/10.5194/bg-
8-1539-2011, 2011. CO2, Biogeosciences, 8, 1539–1550, https://doi.org/10.5194/bg-
8-1539-2011, 2011. Koegel-Knabner, I.: The macromolecular organic composition of
plant and microbial residues as inputs to soil organic matter, Soil
Biol. Biochem., 34, 139–162, 2002. Hamdi, S., Moyano, F., Sall, S., Bernoux, M., and Chevallier, T.:
Synthesis analysis of the temperature sensitivity of soil respira-
tion from laboratory studies in relation to incubation methods
and soil conditions, Soil Biol. Biochem., 58, 115–126, 2013. Krueger, J. P., Leifeld, J., Glatzel, S., Szidat, S., and Alewell, C.:
Biogeochemical indicators of peatland degradation – a case study
of a temperate bog in northern Germany, Biogeosciences, 12,
2861–2871, https://doi.org/10.5194/bg-12-2861-2015, 2015. Han, L., Sun, K., Jin, J., and Xing, B.: Some concepts of soil organic
carbon characteristics and mineral interaction from a review of
literature, Soil Biol. Biochem., 94, 107–121, 2016. Kuhry, P. and Vitt, D. H.: Fossil carbon/nitrogen ratios as a measure
of peat decomposition, Ecology, 77, 271–275, 1996. Hardie, S. M. L., Garnett, M. H., Fallick, A. E., Rowland, A. P.,
Ostle, N. J., and Flowers, T. H.: Abiotic drivers and their interac-
tive effect on the flux and carbon isotope (14C and δ13C) compo-
sition of peat-respired CO2, Soil Biol. Biochem., 43, 2432–2440,
2011. Leifeld, J. and Fuhrer, J.: The temperature response of CO2 produc-
tion from bulk soils and soil fractions is related to soil organic
matter quality, Biogeochemistry, 75, 433–453, 2005. Leifeld, J., Gubler, L., and Gruenig, A.: Organic matter losses
from temperate ombrotrophic peatlands: an evaluation of the ash
residue method, Plant Soil, 341, 349–361, 2011a. Hartley, I. P. and Ineson, P.: Substrate quality and the tempera-
ture sensitivity of soil organic matter decomposition, Soil Biol. Biochem., 40, 1567–1574, 2008. Leifeld, J., Mueller, M., and Fuhrer, J.: Peatland subsidence and
carbon loss from drained temperate fens, Soil Use Manage., 27,
170–176, 2011b. Hilasvuori, E., Akujärvi, A., Fritze, H., Karhu, K., Laiho, R., Mäki-
ranta, P., Oinonen, M., Palonen, V., Vanhala, P., and Liski, J.:
Temperature sensitivity of decomposition in a peat profile, Soil
Biol. Biochem., 67, 47–54, 2013. Leifeld, J., Steffens, M., and Galego-Sala, A.: Sensitivity of peat-
land carbon loss to organic matter quality, Geophys. Res. Lett.,
39, L14704, https://doi.org/10.1029/2012gl051856, 2012. Hogg, E. H., Lieffers, V. J., and Wein, R. W.: Potential carbon losses
from peat profiles: effects of temperature, drought cycles, and
fire, Ecol. Appl., 2, 298–306, 1992. www.biogeosciences.net/15/703/2018/ www.biogeosciences.net/15/703/2018/ Biogeosciences, 15, 703–719, 2018 C. Bader et al.: Peat decomposability in managed organic soils N., Biancalani, R., Salvatore, M., Rossi, S., and
Conchedda, G.: A worldwide assessment of greenhouse gas
emissions from drained organic soils, Sustainability, 8, paper
371, 2016. R core Team: R: A language and environment for statistical comput-
ing, available at: http://www.R-project.org/ (last access: 17 July
2017), 2015. Wang, X., Li, X., Hu, Y., Lv, J., Sun, J., Li, Z., and Wu, Z.: Effect
of temperature and moisture on soil organic carbon mineraliza-
tion of predominantly permafrost peatland in the Great Hing’an
Mountains, Northeastern China, J. Environ. Sci., 22, 1057–1066,
2010. Reiche, M., Gleixner, G., and Küsel, K.: Effect of peat qual-
ity on microbial greenhouse gas formation in an acidic fen,
Biogeosciences, 7, 187–198, https://doi.org/10.5194/bg-7-187-
2010, 2010. Wetterstedt, J. A. M., Persson, T., and Agren, G. I.: Temperature
sensitivity and substrate quality in soil organic matter decompo-
sition: results of an incubation study with three substrates, Global
Change Biol., 16, 1806–1819, 2010. Reichstein, M., Bednorz, F., Broll, G., and Kätterer, T.: Temperature
dependence of carbon mineralisation: conclusions from a long-
term incubation of subalpine soil samples, Soil Biol. Biochem.,
32, 947–958, 2000. Wickland, K. P. and Neff, J. C.: Decomposition of soil organic mat-
ter from boreal black spruce forest: environmental and chemical
controls, Biogeochemistry, 87, 29–47, 2008. Rogiers, N., Conen, F., Furger, M., Stöckli, R., and Eugster, W.:
Impact of past and present land-management on the C-balance
of a grassland in the Swiss Alps, Global Change Biol., 14, 2613–
2625, 2008. WRB 2014: IUSS Working Group WRB, World Reference Base
for Soil Resources 2014, International soil classification system
for naming soils and creating legends for soil maps, World Soil
Resources Reports No. 106, FAO, Rome, 193 pp, 2014. Säurich, A., Tiemeyer, B., Don, A., Bechtold, M., Amelung, W.,
and Freibauer, A.: Vulnerability of soil organic matter of anthro-
pogenically disturbed organic soils, Biogeosciences Discuss.,
https://doi.org/10.5194/bg-2017-127, 2017. Wüst-Galley, C., Grünig, A., and Leifeld, J.: Locating organic soils
for the Swiss Greenhouse Gas Inventory, Agroscope Sci., 26, 1–
99, 2015. Scanlon, D. and Moore, T.: Carbon dioxide production from peat-
land soil profiles: the influence of temperature, oxic/anoxic con-
ditions and substrate, Soil Sci., 165, 153–160, 2000. Wüst-Galley, C., Mossinger, E., and Leifeld, J.: Loss of the soil car-
bon storage function of drained forested peatlands, Mires Peat,
18, UNSP 07, 2016. Schulze, E. D., Luyssaert, S., Ciais, P., Freibauer, A., Janssens, I. A., Soussana, J. C. Bader et al.: Peat decomposability in managed organic soils 719 Minkkinen, K., Vasander, H., Jauhiainen, S., Karsisto, M., and
Laine, J.: Post-drainage changes in vegetation composition and
carbon balance in Lakkasuo mire, Central Finland, Plant Soil,
207, 107–120, 1999. Sjögersten, S., Caul, S., Daniell, T. J., Jurd, A. P. S., O’Sullivan,
O. S., Stapleton, C. S., and Titman, J. J.: Organic matter chem-
istry controls greenhouse gas emissions from permafrost peat-
lands, Soil Biol. Biochem., 98, 42–53, 2016. Neff, J. C. and Hooper, D. U.: Vegetation and climate controls on
potential CO2, DOC and DON production in northern latitude
soils, Global Change Biol., 8, 872–884, 2002. Tfaily, M. M., Cooper, W. T., Kostka, J. E., Chanton, P. R., Schadt,
C. W., Hanson, P. J., Iversen, C. M., and Chanton, J. P.: Organic
matter transformation in the peat column at Marcell Experimen-
tal Forest: humification and vertical stratification, J. Geophys. Res.-Biogeosci., 119, 661–675, 2014. Parish, F., Sirin, A., Charman, D., Joosten, H., Minayeva, T., Sil-
vius, M., and Stringer, L.: Assessment on Peatlands, Biodiversity,
and Climate Change: Main Report, Global Environment Centre,
Wetlands International, 179 pp., 2008. g
Tiemeyer, B., Albiac Borraz, E., Augustin, J., Bechtold, M., Beetz,
S., Beyer, C., Drösler, M., Ebli, M., Eickenscheidt, T., Fiedler,
S., Förster, C., Freibauer, A., Giebels, M., Glatzel, S., Heinichen,
J., Hoffmann, M., Höper, H., Jurasinski, G., Leiber-Sauheitl, K.,
Peichl-Brak, M., Roßkopf, N., Sommer, M., and Zeitz, J.: High
emissions of greenhouse gases from grasslands on peat and other
organic soils, Global Change Biol., 22, 4134–4149, 2016. Tiemeyer, B., Albiac Borraz, E., Augustin, J., Bechtold, M., Beetz, S., Beyer, C., Drösler, M., Ebli, M., Eickenscheidt, T., Fiedler, Plante, A. F., Conant, R. T., Carlson, J., Greenwood, R., Shulman,
J. M., Haddix, M. L., and Paul, E. A.: Decomposition tempera-
ture sensitivity of isolated soil organic matter fractions, Soil Biol. Biochem., 42, 1991–1996, 2010. S., Förster, C., Freibauer, A., Giebels, M., Glatzel, S., Heinichen, J., Hoffmann, M., Höper, H., Jurasinski, G., Leiber-Sauheitl, K.,
Peichl-Brak, M., Roßkopf, N., Sommer, M., and Zeitz, J.: High
emissions of greenhouse gases from grasslands on peat and other
organic soils, Global Change Biol., 22, 4134–4149, 2016. Preston, C. M. and Schmidt, M. W. I.: Black (pyrogenic) carbon:
a synthesis of current knowledge and uncertainties with spe-
cial consideration of boreal regions, Biogeosciences, 3, 397–420,
https://doi.org/10.5194/bg-3-397-2006, 2006. Tubiello, F. C. Bader et al.: Peat decomposability in managed organic soils T., Salinas, N., and Hartley, I. P.: Temperature sensitiv-
ity of soil respiration rates enhanced by microbial community
response, Nature, 513, 81–84, 2014. M., Väliranta, M., van der Linden, M., van Geel, B., van Bellen, Kechavarzi, C., Dawson, Q., Bartlett, M., and Leeds-Harrison, P. B.: The role of soil moisture, temperature and nutrient amend-
ment on CO2 efflux from agricultural peat soil microcosms, Geo-
derma, 154, 203–210, 2010. Lüdi, W.: Das Grosse Moos im westschweizerischen Seelande und
die Geschichte seiner Entstehung, Veröffentlichungen des Geob-
otanischen Institutes Rübel in Zürich, 11, Heft, Hans Huber,
Bern, Switzerland, 1935. Kim, S., Kramer, R. W., and Hatcher, P. G.: Graphical method for
analysis of ultrahigh-resolution broadband mass spectra of natu-
ral organic matter, the van Krevelen diagram, Anal. Chem., 75,
5336–5344, 2003. Malmer, N. and Holm, E.: Variation in the C / N-quotient of peat in
relation to decomposition rate and age determination with 210Pb,
Oikos, 171–182, 1984. Klavins, M., Sire, J., Purmalis, O., and Melecis, V.: Approaches to
estimating humification indicators for peat, Mires Peat, 3, Art. 07, 2008. McAnallen, L., Doherty, R., and Ogle, N.: Organic composition and
multiphase stable isotope analysis of active, degrading and re-
stored blanket bog, Sci. Total Environ., 599, 1779–1790, 2017. Koch,
O.,
Tscherko,
D.,
and
Kandeler,
E.:
Temperature
sensitivity
of
microbial
respiration,
nitrogen
mineral-
ization,
and
potential
soil
enzyme
activities
in
organic
alpine
soils,
Global
Biogeochem. Cy.,
21,
GB4017,
https://doi.org/10.1029/2007GB002983, 2007. Minkkinen, K. and Laine, J.: Long-term effect of forest drainage on
the peat carbon stores of pine mires in Finland, Canad. J. Forest
Res., 28, 1267–1275, 1998. Biogeosciences, 15, 703–719, 2018 www.biogeosciences.net/15/703/2018/ C. Bader et al.: Peat decomposability in managed organic soils F., Smith, P., Grace, J., Levin, I., Thiruchittam-
palam, B., Heimann, M., Dolman, A. J., Valentini, R., Bousquet,
P., Peylin, P., Peters, W., Rodenbeck, C., Etiope, G., Vuichard,
N., Wattenbach, M., Nabuurs, G. J., Poussi, Z., Nieschulze, J.,
and Gash, J. H.: Importance of methane and nitrous oxide for
Europe’s terrestrial greenhouse-gas balance, Nature Geosci., 2,
842–850, 2009. Yavitt, J. B., Williams, C. J., and Wieder, R. K.: Controls on
microbial production of methane and carbon dioxide in three
Sphagnum-dominated peatland ecosystems as revealed by a re-
ciprocal field peat transplant experiment, Geomicrobiol. J., 17,
61–88, 2000. Zaccone, C., Miano, T. M., and Shotyk, W.: Qualitative comparison
between raw peat and related humic acids in an ombrotrophic
bog profile, Org. Geochem., 38, 151–160, 2007. Six, J., Conant, R. T., Paul, E. A., and Paustian, K.: Stabilization
mechanisms of soil organic matter: implications for C-saturation
of soils, Plant Soil, 241, 155–176, 2002. Biogeosciences, 15, 703–719, 2018 www.biogeosciences.net/15/703/2018/
|
https://openalex.org/W1937603339
|
https://europeanjournaloftaxonomy.eu/index.php/ejt/article/download/265/508
|
English
| null |
Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador
|
European Journal of Taxonomy
| 2,015
|
cc-by
| 15,325
|
Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae)
from the Andes of southern Ecuador Thibaut DELSINNE 1,4,*, Gontran SONET 2 & David A. DONOSO 1,3 Thibaut DELSINNE 1,4, , Gontran SONET 2 & David A. DONOSO 1,3
1 Universidad Técnica Particular de Loja (UTPL), Departamento de Ciencias Naturales,
Museo de Colecciones Biológicas (MUTPL), Loja, Ecuador. 2 Royal Belgian Institute of Natural Sciences, Joint Experimental Molecular Unit (JEMU)
– OD Taxonomy and Phylogeny, Vautierstraat 29, B-1000 Brussels, Belgium. 3 Universidad de Cuenca, Facultad de Ciencias, Agropecuarias, Ave. 12 de Abril s/n, Cuenca, Ecuador
* Corresponding author: delsinnethibaut@yahoo.fr
2 E-mail: gontran.sonet@naturalsciences.be
3 E-mail: david.donosov@gmail.com 4 urn:lsid:zoobank.org:author:BA819CA7-A1BC-43AC-94A3-9DBB2D89D634
2 urn:lsid:zoobank.org:author:BA7353F8-5296-4968-9D2D-D474EF8FCEB6
3 urn:lsid:zoobank.org:author:BD09BA33-A9F8-4F77-A5B3-F277062FB286 Abstract. Two new species of Leptanilloides are described: L. copalinga Delsinne & Donoso sp. nov. and L. prometea Delsinne & Donoso sp. nov., based on workers collected in the leaf litter and soil
of the Andes of southern Ecuador. Both species belong to the L. biconstricta species-group (formally
diagnosed here). The metatibial gland, considered a synapomorphy for Dorylinae, is observed in
L. prometea sp. nov. but seems absent in L. copalinga sp. nov. We provide a COI DNA barcode for both
species and a revised key for the worker caste of all known species in the genus. We also describe a single
male identified as a potential new Leptanilloides species on the basis of morphology. Furthermore, its
mitochondrial COI gene sequence does not match any previously barcoded species. However, we refrain
from giving it a specific name because of our lack of knowledge about the worker caste. So far, half of
the 14 Leptanilloides species have been discovered above 1500 m in the mountain forests or páramos
of the Ecuadorian Andes, confirming, if needed, the biological significance of these threatened habitats. words. Army ant syndrome, DNA barcoding, male description, metatibial gland, subterranean ant Key words. Army ant syndrome, DNA barcoding, male description, metatibial gland, sub Delsinne T., Sonet G. & Donoso D.A. 2015. Two new species of Leptanilloides Mann, 1823 (Formicidae:
Dorylinae) from the Andes of southern Ecuador. European Journal of Taxonomy 143: 1–35. http://dx.doi. org/10.5852/ejt.2015.143 R e s e a r c h a r t i c l e urn:lsid:zoobank.org:pub:CA2B7F29-C4C3-4BCC-A65B-40733C856652 Delsinne T., Sonet G. & Donoso D.A. 2015. Two new species of Leptanilloides Mann, 1823 (Formicidae:
Dorylinae) from the Andes of southern Ecuador. European Journal of Taxonomy 143: 1–35. http://dx.doi.
org/10.5852/ejt.2015.143 The ant genus Leptanilloides Mann, 1923 belongs with Amyrmex Kusnezov, 1953 to a monophyletic
clade on the basis of the molecular phylogeny of the recently reassessed subfamily Dorylinae Leach,
1815 (Brady et al. 2014). This clade was formerly recognized as a distinct subfamily, Leptanilloidinae
Baroni Urbani et al., 1992, and also comprises a third genus, Asphinctanilloides Brandão et al., 1999,
for which no DNA sequences are yet available. European Journal of Taxonomy 143: 1–35 ISSN 2118-9773
http://dx.doi.org/10.5852/ejt.2015.143 www.europeanjournaloftaxonomy.eu
2015 · Delsinne T., Sonet G. & Donoso D.A.
This work is licensed under a Creative Commons Attribution 3.0 License. European Journal of Taxonomy 143: 1–35 ISSN 2118-9773
http://dx.doi.org/10.5852/ejt.2015.143 www.europeanjournaloftaxonomy.eu
2015 · Delsinne T., Sonet G. & Donoso D.A. This work is licensed under a Creative Commons Attribution 3.0 License. ISSN 2118-9773
www.europeanjournaloftaxonomy.eu
2015 · Delsinne T., Sonet G. & Donoso D.A. Introduction The ant genus Leptanilloides Mann, 1923 belongs with Amyrmex Kusnezov, 1953 to a monophyletic
clade on the basis of the molecular phylogeny of the recently reassessed subfamily Dorylinae Leach,
1815 (Brady et al. 2014). This clade was formerly recognized as a distinct subfamily, Leptanilloidinae
Baroni Urbani et al., 1992, and also comprises a third genus, Asphinctanilloides Brandão et al., 1999,
for which no DNA sequences are yet available. 1 European Journal of Taxonomy 143: 1–35 (2015) Leptanilloides comprises 14 species of subterranean ants, including two species described as new in
this paper, with morphological and behavioral traits distinctive of the army ant syndrome, including
synchronization of larva production, brood carrying by workers under their mesosoma, nomadic habits,
and a subdichthadiiform gyne (Brandão et al. 1999; Donoso et al. 2006; Borowiec & Longino 2011). They present an apparent disjunctive distribution with the majority of species infrequently collected
from Mexico to Bolivia, at altitudes of between 440 and 3350 m (Brandão et al. 1999; Longino 2003;
Donoso et al. 2006; Ward 2007; Ward & Brady 2009; Borowiec & Longino 2011), and a single species,
L. atlantica Silva et al., 2013, only known from its type locality at 800 m in south-eastern Brazil, more
than 2500 km away from the other species (Silva et al. 2013). However, this distribution pattern is
suspected to be the result of the insufficient or inadequate collecting effort applied to the soil environment
(Silva et al. 2013). Our knowledge concerning the diversity and distribution of this genus is indeed very
low: most species are only known from their type locality, one species from just two sites (L. gracilis
Borowiec & Longino, 2011 from Mexico and Guatemala; Borowiec & Longino 2011), and two species
from three localities (L. mckennae Longino, 2003 in Costa Rica (AntWeb 2015a); L. biconstricta Mann,
1923 from Bolivia (Mann 1923), Colombia (Zabala et al. 2006) and Venezuela (AntWeb 2015b)). Borowiec & Longino (2011) updated the diagnosis of the genus based on the worker caste. They described
the state of 38 morphological variables and discussed the variability observed for some of them within
the genus. In particular, they noted the presence, albeit reduced, of a metatibial gland in two species
(L. erinys Borowiec & Longino, 2011 and L. nubecula Donoso et al., 2006). Molecular analyses One hindleg was sampled from 4 specimens (specimen codes of L. prometea sp. nov. workers: 4052302,
4052314; code of L. copalinga sp. nov. worker: 4006302; code of the unassociated male: 4870101),
and DNA was extracted with the NucleoSpin Tissue Kit (Macherey-Nagel, Germany) following the
manufacturer’s protocol. Moreover, the total genomic DNA was isolated from the complete body of
4 workers of L. prometea sp. nov. (specimen codes 4052311, 4052312, 4060602, and 4060603) also
using the NucleoSpin Tissue Kit. After DNA extraction, these 4 specimens were preserved as vouchers
in 96% ethanol. PCR amplification of the 5’ end of the cytochrome c oxidase subunit I (COI) marker
(standard DNA barcode region) was performed with the primers LCO1490 and HCO2198 (Folmer et
al. 1994). The wingless wnt-1 gene (Wg) was amplified using primers Wg578F (Ward & Downie 2005)
and Wg1032R (Abouheif & Wray 2002). PCR conditions were the same as in Delsinne et al. (2012). Amplicons were directly sequenced in both directions and aligned with all COI and Wg sequences of
Leptanilloides and Cylindromyrmex Mayr, 1870 (as outgroup) available in GenBank and in BOLD,
the Barcode of Life Data System (Ratnasingham & Hebert 2007). We obtained COI sequences for
6 specimens of L. prometea sp. nov., 1 of L. copalinga sp. nov., and 1 of the unnamed Leptanilloides
male. Unfortunately, we obtained only one Wg sequence for L. prometea sp. nov. (specimen code
4052311; Appendix 1). Mega ver. 6.06 (Tamura et al. 2013) was used to perform alignments with the
Clustal W algorithm (Thompson et al. 1994), calculate pairwise uncorrected p-distances and construct
neighbor-joining trees with bootstrapping (1000 replicates). All COI and Wg sequences were deposited in GenBank with accession numbers KT601697–
KT601704 (COI) and KT750331 (Wg). Process IDs of specimens in BOLD are from LEPEC001-15
to LEPEC007-15 and LEPEC009-15. Further phylogenetic analyses were performed on the basis of
the Wg DNA dataset (Appendix 1), which included sequences representing more species than the
COI dataset. Parsimony trees were calculated in R using the packages ape (Paradis et al. 2004) and
phangorn (Schliep 2011) with 1000 bootstrap replicates (non-parametric bootstrapping) (Appendix 2). Best partitioning schemes and best-fit substitution models were estimated using PartitionFinder ver. 1.0
(Lanfear et al. 2012) in order to perform maximum likelihood analysis and Bayesian inference of
phylogeny. Introduction This observation was
interesting because this gland is considered to be a synapomorphy of Dorylinae in relation to Formicidae
(Bolton 1990; 2003) but was estimated to be secondarily absent in Leptanilloides (Brandão et al. 1999;
Bolton 2003; Longino 2003; Brady & Ward 2005; Donoso et al. 2006). Morphological data seem to support the segregation of Leptanilloides into two natural species-groups
(Borowiec & Longino 2011): the Leptanilloides biconstricta species-group, easily recognizable for
the completely unfused promesonotal connection and the postpetiole nearly as high as the following
abdominal segment, and the Leptanilloides legionaria species-group, with ants that have a partially
to completely fused promesonotal connection and a reduced and isolated postpetiole. Importantly, the
phylogeny of Brady et al. (2014) inferred from 11 nuclear DNA markers also supports this distinction
(but only five Leptanilloides species were included in their work). In this paper, we provide a formal
diagnosis of both species-groups. The male caste has only been described for two species of the L. legionaria species-group, namely
L. mckennae (Ward 2007) and L. nubecula (Donoso et al. 2006). In addition, Borowiec & Longino
(2011) described three males without associating them with workers or giving them specific names. The first male (called ‘Male 1’ in Borowiec & Longino 2011) was suspected to belong to L. gracilis, a
species from the L. biconstricta species-group, because of sympatric distribution, similar abundance,
small size and the presence of two simple spurs on mid and hind tibia in both ‘Male 1’ and workers of
L. gracilis. However, because several Leptanilloides species can occur in sympatry (Donoso et al. 2006;
Borowiec & Longino 2011), the association was cautiously not formalized without further evidence. No
hypotheses were proposed concerning the identities of the two other males. It is noteworthy that males
are also known for Amyrmex (Ward & Brady 2009), but not for Asphictanilloides. Boudinot (2015) indicated that most males of Dorylinae are uniquely identified by the bidentate or
pronged ninth abdominal sternite (subgenital plate), the lack of pygostyles, and the poorly developed
clypeus. Males of Leptanilloides and Amyrmex are highly derived and are identifiable by the following
combination of characters: antennal torulus abutting or very nearly abutting anterior clypeal margin,
oblique mesopleural sulcus absent, four closed cells present on forewing, and cinctus between abdominal
pre- and postsclerites IV absent (Boudinot 2015; see also Ward & Brady 2009). Moreover, the posterior 2 DELSINNE T., SONET G. Introduction & DONOSO D.A., Two new Leptanilloides from Ecuador margin of abdominal sternite IX is broad and deeply concave but not bifurcate (Ward 2007; Borowiec &
Longino 2011). Here we describe the worker caste of two new Leptanilloides species belonging to the L. biconstricta
species-group. A male with a unique mandible shape is also described, although we do not intend to
formally name it until further information regarding its associated worker caste has been acquired. We
also provide COI barcodes for the two new species and for this male. The key of Borowiec & Longino
(2011) to the worker caste is updated to include our two new species as well as the recently described
L. atlantica Silva et al., 2013. Finally, we provide evidence of a metatibial gland in one of our species
and note the hitherto unnoticed occurrence of a pectinate spur on the midtibia in some species. Images High resolution digital images were taken using either a Leica DFC290 camera attached to a Leica
Z6APO stereo microscope or a Leica MC170 camera attached to a Leica S8APO stereo microscope. A series of images was taken by focusing the sharpness on different levels of the specimen, using the
Leica Application Suite ver. 38 (2003–2011) and combined with the stacking software Combine ZP
(Hadley 2010). Final editing of the images was done in Adobe Photoshop CS5. SEM photographs of
the specimens (spm 4006301 and spm 4052301 for L. copalinga sp. nov. and L. prometea sp. nov.,
respectively) were taken at the Royal Belgian Institute of Natural Sciences using a FEI Quanta 200
scanning electron microscope (SEM). Molecular analyses Two partitions (one partition for the third codon position and one partition for the two other
positions) were selected, with best-fit substitution models TIM+Gamma (Posada 2003) and JC (Jukes &
Cantor 1969), respectively (using the Bayesian information criterion). Maximum likelihood analysis was
conducted using GARLI ver. 2.0 (Zwickl 2006) with a bootstrapping test (500 replicates) (Appendix 3). Bayesian inference was performed with MrBayes ver. 3.2.3 (Ronquist et al. 2012; Appendix 1). Two
parallel runs, with four chains each, were run for ten million generations, with unlinked nucleotide
substitution parameters for each data partition. Every 1000th generation was sampled, convergence of
the Markov chains was monitored, average standard deviation of split frequencies decreased below
0.01, and traces of the parameters were checked using Tracer ver. 1.6 (Rambaut et al. 2014) following 3 European Journal of Taxonomy 143: 1–35 (2015) the recommendations of Ronquist et al. (2011), Lesaffre & Lawson (2012) and SAS Institute (2009). Finally, the first 25% of the trees were discarded (“burn-in”) to summarize the tree samples. the recommendations of Ronquist et al. (2011), Lesaffre & Lawson (2012) and SAS Institute (2009). Finally, the first 25% of the trees were discarded (“burn-in”) to summarize the tree samples. Measurements (2013)
MH
= Mesosoma height: in lateral view, maximum height measured from lowermost point of
mesopleuron (in front of middle coxa) to dorsal edge of mesosoma, measured perpendicularly
to long axis of mesosoma
PL
= Petiole length, maximum length of the petiole measured in dorsal view, starting at base of MH
= Mesosoma height: in lateral view, maximum height measured from lowermost point of
mesopleuron (in front of middle coxa) to dorsal edge of mesosoma, measured perpendicularly
to long axis of mesosoma PL
= Petiole length, maximum length of the petiole measured in dorsal view, starting at base of
anterior face and ending at base of posterior edge PPL
= Postpetiole (= third abdominal segment) length, maximum length of node measured in dorsal
view PPW = Postpetiole width, maximum width of node measured in dorsal view AivW = Maximum width of fourth abdominal segment, in dorsal view FFeW = Maximum width in lateral view of fore femur HTL = Length of hind tibia, measured along extensor (outer) surface SI
= Scape index, SL/HL × 100 PI
= Petiolar index, PW/PL × 100 4 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador MI
= Mesosomal index, MH/WL × 100 ,
sc
= specimen code(s) following the Maurice Leponce database at the Royal Belgian Institute of
Natural Sciences ,
sc
= specimen code(s) following the Maurice Leponce database at the Royal Belgian Institute of
Natural Sciences For consistency, we follow Borowiec & Longino (2011) for terminology, in particular for wing venation
and genitalia. Results Class Hexapoda Blainville, 1816
Order Hymenoptera Linnaeus, 1758
Suborder Apocrita Latreille, 1810
Infraorder Aculeata Latreille, 1802
Superfamily Vespoidea Latreille, 1802
Family Formicidae Latreille, 1809
Subfamily Dorylinae Leach, 1815
Genus Leptanilloides Mann, 1823 Class Hexapoda Blainville, 1816
Order Hymenoptera Linnaeus, 1758
Suborder Apocrita Latreille, 1810
Infraorder Aculeata Latreille, 1802
Superfamily Vespoidea Latreille, 1802
Family Formicidae Latreille, 1809
Subfamily Dorylinae Leach, 1815
Genus Leptanilloides Mann 1823 Measurements Measurements were made using an Olympus SZ61 stereo microscope at a magnification of 45× with a
micrometer. All the measurements are presented in millimeters. The following abbreviations are used: Measurements were made using an Olympus SZ61 stereo microscope at a magnification of 45× with a
micrometer. All the measurements are presented in millimeters. The following abbreviations are used: HL
= Head length, measured in full face view, from anterior edge of frontal lobes (therefore without
including clypeal lamella) to posterior border of head g
yp
)
p
HW
= Head width, maximum width of head measured in full face view; HW for males includes eyes
(workers eyeless) SL
= Scape length, excluding basal condyle and neck p
g ,
g
y
LAII, LAIII, LAIV, LAXIII = Length of second, third, fourth and terminal (13th) antennal segments,
respectively (male only) EL
= Eye length, measured in full face view, maximum length of eye parallel to midline (male
only) MaL = Mandible length, measured in full face view, length of line running medially from clypeal
anterior margin to mandible apex (male only) WL
= Weber’s length, measured from anterior edge of pronotum to posterior edge of metapleural
lobe; this measure called Mesosoma Length (ML) in Borowiec & Longino (2011) and Silva
et al. (2013) et al. L. biconstricta Mann, 1923 Deposition of material Holotypes and paratypes have been deposited at: BMNH
= British Museum of Natural History (Natural History Museum), London, UK BMNH
= British Museum of Natural History (Natural History Museum), London, UK
CASC
= California Academy of Sciences, San Francisco, CA, USA
ICN
= Insect Collection, Instituto de Ciencias Naturales, Universidad Nacional de Colombia,
Bogotá D.C., Colombia
JTLC
= John T. Longino, personal collection, University of Utah, Salt Lake City, UT, USA
MCZC
= Museum of Comparative Zoology, Harvard University, Cambridge, Massachusetts, USA
MUTPL = Museo de Colecciones Biológicas de la Universidad Técnica Particular de Loja, Loja,
Ecuador
MZSP
= Museu de Zoologia da Universidade de São Paulo, São Paulo, Brazil
QCAZ
= Museum of Zoology of the Pontificia Universidad Católica del Ecuador, Quito, Ecuador
RBINS
= Royal Belgian Institute of Natural Sciences, Brussels, Belgium
Results CASC
= California Academy of Sciences, San Francisco, CA, USA CASC
= California Academy of Sciences, San Francisco, CA, USA
ICN
= Insect Collection, Instituto de Ciencias Naturales, Universidad Nacional de Colombia,
Bogotá D.C., Colombia ICN
= Insect Collection, Instituto de Ciencias Naturales, Universidad Nacional de Colombia,
Bogotá D.C., Colombia JTLC
= John T. Longino, personal collection, University of Utah, Salt Lake City, UT, US MCZC
= Museum of Comparative Zoology, Harvard University, Cambridge, Massachusetts, USA
MUTPL = Museo de Colecciones Biológicas de la Universidad Técnica Particular de Loja, Loja,
Ecuador MZSP
= Museu de Zoologia da Universidade de São Paulo, São Paulo, Brazili QCAZ
= Museum of Zoology of the Pontificia Universidad Católica del Ecuador, Quito, Ecuador
RBINS
=
Royal Belgian Institute of Natural Sciences Brussels Belgium This group includes the ten following species:
L. atlantica Silva et al., 2013
L. biconstricta Mann, 1923 European Journal of Taxonomy 143: 1–35 (2015) L. caracola Donoso et al., 2006 L. caracola Donoso et al., 2006 L. caracola Donoso et al., 2006
L. copalinga Delsinne & Donoso sp. nov
L. erinys Borowiec & Longino, 2011
L. femoralis Borowiec & Longino, 2011
L. gracilis Borowiec & Longino, 2011
L. improvisa Brandão et al., 1999
L. prometea Delsinne & Donoso sp. nov. L. copalinga Delsinne & Donoso sp. nov. L. erinys Borowiec & Longino, 2011 L. femoralis Borowiec & Longino, 2011 L. gracilis Borowiec & Longino, 2011 L. improvisa Brandão et al., 1999 L. prometea Delsinne & Donoso sp. nov. L. sculpturata Brandão et al., 1999 L. sculpturata Brandão et al., 1999 Diagnosis of the Leptanilloides biconstricta species-group Species from the Leptanilloides biconstricta species-group possess the typical characters of the genus
(see diagnosis in Borowiec & Longino 2011) but can be grouped by the fact that they share the following
criteria: promesonotal connection completely unfused and flexible; lateroclypeal tooth (called genal
tooth in Brandão et al. 1999, Longino 2003 and Donoso et al. 2006) well-developed (although apparently
lacking in L. caracola Donoso et al., 2006, a species known only by its holotype; because this criterion
may be difficult to observe with a stereo microscope, even at high magnification, the absence of a
lateroclypeal tooth in L. caracola should be confirmed in SEM); abdominal segment III (postpetiole)
nearly as high as abdominal segment IV; and postpetiolar spiracle situated proximately to the anterior
margin of the tergite. Moreover, species from this group are generally smaller than species of the L. legionaria species-group
(Fig. 1). This group includes the ten following species:
L. atlantica Silva et al., 2013
L. biconstricta Mann, 1923 5 5 European Journal of Taxonomy 143: 1–35 (2015) Diagnosis of the Leptanilloides legionaria species-group Species from the Leptanilloides legionaria species-group possess the characters of the genus (see
diagnosis in Borowiec & Longino 2011) but are grouped because they share the following criteria:
promesonotal connection at least partially fused; lateroclypeal tooth absent or reduced; postpetiole
reduced and isolated; and postpetiolar spiracle shifted posteriad on anteromedian side of the tergite. This group includes the following four species: This group includes the following four species:
L. legionaria Brandão et al., 1999
L. mckennae Longino, 2003 Fig. 1. Relationship between HL and WL among workers in species of Leptanilloides and Asphinct-
anilloides. Specimens measured are holotypes or paratypes. Measurements are in mm. WL is called
Mesosoma Length (ML) in Borowiec & Longino (2011) and Silva et al. (2013). Triangles: the two
Leptanilloides described in this paper (L. copalinga Delsinne & Donoso sp. nov. and L. prometea
Delsinne & Donoso sp. nov.); diamonds: Leptanilloides biconstricta species-group (La: L. atlantica,
Lb: L. biconstricta, Lc: L. caracola, Le: L. erinys, Lf: L. femoralis, Lg: L. gracilis, Li: L. improvisa,
Ls: L. sculpturata); dots: Leptanilloides legionaria species-group (Ll: L. legionaria, Lm: L. mckennae,
Lno: L. nomada, Lnu: L. nubecula); stars: Asphinctanilloides species (Aa: A. amazon Brandão et al.,
1999, Aan: A. anae Brandão et al., 1999, Am: A. manauara Brandão et al., 1999). Fig. 1. Relationship between HL and WL among workers in species of Leptanilloides and Asphinct-
anilloides. Specimens measured are holotypes or paratypes. Measurements are in mm. WL is called
Mesosoma Length (ML) in Borowiec & Longino (2011) and Silva et al. (2013). Triangles: the two
Leptanilloides described in this paper (L. copalinga Delsinne & Donoso sp. nov. and L. prometea
Delsinne & Donoso sp. nov.); diamonds: Leptanilloides biconstricta species-group (La: L. atlantica,
Lb: L. biconstricta, Lc: L. caracola, Le: L. erinys, Lf: L. femoralis, Lg: L. gracilis, Li: L. improvisa,
Ls: L. sculpturata); dots: Leptanilloides legionaria species-group (Ll: L. legionaria, Lm: L. mckennae,
Lno: L. nomada, Lnu: L. nubecula); stars: Asphinctanilloides species (Aa: A. amazon Brandão et al.,
1999, Aan: A. anae Brandão et al., 1999, Am: A. manauara Brandão et al., 1999). 6 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador L. nomada Donoso et al., 2006
L. nubecula Donoso et al., 2006
Key to workers of Leptanilloides
1. Abdominal segment III (postpetiole) in lateral view much smaller than adjoining fourth
abdominal segment. Spiracle of segment III shifted posteriad on anteromedian side of tergite. Diagnosis of the Leptanilloides legionaria species-group Body size relatively large, HL 0.68–0.75 (Fig. 1) ………………2 (L. legionaria species-group)
–
Abdominal segment III (postpetiole) in lateral view nearly as high as abdominal segment IV. Spiracle of segment III situated forward on the tergite. Body size relatively small, HL 0.31–0.62
(Fig. 1) ……………………………………………………………5 (L. biconstricta species-group)
2. Head subquadrate, CI 85–88; lateral margin nearly straight and parallel. Propodeal declivity short
and vertical, propodeum with dorsal and posterior faces clearly differentiated (Ecuador) ………
………………………………………………………………………L. nomada Donoso et al., 2006
–
Head subrectangular, CI 75–83; lateral margin convex. Propodeal declivity usually rounded
without clear distinction between dorsal and posterior faces ……………………………………3
3. Head sculpture less dense, at most 10–12 shallow foveolae across face at midlength. Lateral margin
of head distinctly convex. Lateroclypeal tooth present. Posterior margin of head slightly concave
(Colombia) ……………………………………………………L. legionaria Brandão et al., 1999
–
Head sculpture denser, with at least 15 foveolae across face at midlength. Lateral margin of head
slightly convex. Lateroclypeal tooth absent. Posterior margin of head deeply concave …………4
4. Legs shorter, HW/HTL×100 > 78. Hypostomal tooth present (Ecuador) …………………………
…………………………………………………………………L. nubecula Donoso et al., 2006
–
Legs longer, HW/HTL×100 < 78. Hypostomal tooth absent (Costa Rica) ………………………
…………………………………………………………………………L. mckennae Longino, 2003
5. Lateroclypeal tooth absent. Masticatory margin of mandible edentate (Ecuador) …………………
……………………………………………………………………L. caracola Donoso et al., 2006
–
Lateroclypeal tooth present. Masticatory margin of mandible dentate (at least minute denticles
present) ……………………………………………………………………………………………6
6. In lateral view, abdominal segment IV narrowly attached to preceding segment III and broadly
to succeeding segment V, with contrast between widths of anterior and posterior articulations
of segment IV in lateral view …………………………………………………………………7
–
In lateral view, abdominal segment IV relatively broadly attached to preceding segment III,
with little contrast between widths of anterior and posterior articulations of segment IV in
lateral view ………………………………………………………………………………………8
7. In lateral view, sternite of abdominal segment III evenly rounded, making sternal and tergal
portions subequal. Petiole as long as postpetiole. Reticulation on mesopleuron and metapleuron
uninterrupted. Head densely foveolate, with c. 20–30 foveolae covering a straight transverse line
at head midlength. HL ≤ 0.36 (Brazil) ………………………………L. atlantica Silva et al., 2013
–
In lateral view, sternite of abdominal segment III (postpetiole) distinctly bulging anteriorly,
making sternal portion of segment deeper than tergite (Borowiec & Longino 2011: fig. 2d). Petiole
longer than postpetiole (Borowiec & Longino 2011: fig. 2d). Reticulation on mesopleuron and
metapleuron superficial and interrupted. Diagnosis of the Leptanilloides legionaria species-group Head sculpture less dense, with only 10–20 foveolae
covering a straight transverse line at head midlength. HL = 0.49 in only measured specimen
(Bolivia, Colombia, Venezuela) …………………………………………L. biconstricta Mann, 1823 L. nomada Donoso et al., 2006 Key to workers of Leptanilloides 3D) (Ecuador) ……………………………………
…………………………………………………………L. copalinga Delsinne & Donoso sp. nov. Leptanilloides copalinga Delsinne & Donoso sp. nov. urn:lsid:zoobank.org:act:4324B13A-500B-464C-AE3F-62BCAF95A2CC
Figs 2A–F, 3A–F Leptanilloides copalinga Delsinne & Donoso sp. nov. urn:lsid:zoobank.org:act:4324B13A-500B-464C-AE3F-62BCAF95A2CC
Figs 2A–F, 3A–F Key to workers of Leptanilloides 7 European Journal of Taxonomy 143: 1–35 (2015) European Journal of Taxonomy 143: 1–35 (2015)
8. In lateral view, petiolar sternite distinctly bulging medially ……………………………………9
–
In lateral view, petiolar sternite straight (not bulging) or bulging anteriorly …………………10
9. Hindtibia with two very small, simple spurs, without pectinate spur clearly visible under 50×
magnification. Petiolar spiracle opening in an excavation distinctly larger than propodeal spiracle
(Borowiec & Longino 2011: fig. 5g–h). Flange over metapleural gland opening sharply pointed
posteriorly (Mexico, Guatemala) …………………………L. gracilis Borowiec & Longino, 2011
–
Hindtibia with large pectinate spur, clearly discernable under 50× magnification. Petiolar
spiracle not in excavation, similar and subequal to or smaller in diameter than propodeal spiracle
(Borowiec & Longino 2011: fig. 4g–h). Flange over metapleural gland opening rounded posteriorly
(Venezuela) ………………………………………………L. femoralis Borowiec & Longino, 2011
10. Head narrow, HL < 0.30, HW < 0.20, CI < 60. Head dorsum densely foveolate with foveolae
separated by less than their diameter, often contiguous (Colombia) ………………………………
…………………………………………………………………L. sculpturata Brandão et al., 1999
–
Head broader, HL > 0.30, HW > 0.20, CI > 65. Head dorsum less densely foveolate, with
foveolae separated by about their diameter or more ……………………………………………11
11. Size large, HL ≥ 0.50, HW ≥ 0.38. Flange over metapleural gland opening short, not surpassing
propodeum declivity margin in lateral view, and rounded posteriorly ………………………12
–
Smaller, HL < 0.45, HW < 0.35. Flange over metapleural gland opening long, surpassing
propodeum declivity margin in lateral view, and sharply pointed posteriorly ………………13
12. HL = 0.50 on single known specimen. Masticatory margin of mandible distinctly dentate, with
regularly spaced and well-developed teeth (Brandão et al. 1999: fig. 16) (Ecuador) ……………
……………………………………………………………………L. improvisa Brandão et al., 1999
–
HL ≥ 0.58. Masticatory margin of mandible dentate but teeth extremely minute, blunt and
irregularly shaped, difficult to discern even under magnifications of about 100× (Figs 4B, 6C)
(Ecuador) ………………………………………………L. prometea Delsinne & Donoso sp. nov. 13. Ventral margin of petiolar sternite forming an even convexity in lateral view. Reticulation on
mesopleuron, metapleuron and lateral side of petiole uninterrupted. In dorsal view, petiole
subquadrate, 67 ≤ PI ≤ 80 (Ecuador) ………………………L. erinys Borowiec & Longino, 2011
–
Ventral margin of petiolar sternite relatively straight in lateral view (Fig. 3C). Reticulation on
mesopleuron, metapleuron and lateral side of petiole superficial and interrupted. In dorsal view,
petiole slender, rectangular, 52 ≤ PI ≤ 63 (Fig. 3D) (Ecuador) ……………………………………
…………………………………………………………L. Key to workers of Leptanilloides copalinga Delsinne & Donoso sp. nov. Leptanilloides copalinga Delsinne & Donoso sp. nov. urn:lsid:zoobank.org:act:4324B13A-500B-464C-AE3F-62BCAF95A2CC
Figs 2A–F, 3A–F 8. In lateral view, petiolar sternite distinctly bulging medially ……………………………………9
–
In lateral view, petiolar sternite straight (not bulging) or bulging anteriorly …………………10
9. Hindtibia with two very small, simple spurs, without pectinate spur clearly visible under 50×
magnification. Petiolar spiracle opening in an excavation distinctly larger than propodeal spiracle
(Borowiec & Longino 2011: fig. 5g–h). Flange over metapleural gland opening sharply pointed
posteriorly (Mexico, Guatemala) …………………………L. gracilis Borowiec & Longino, 2011
–
Hindtibia with large pectinate spur, clearly discernable under 50× magnification. Petiolar
spiracle not in excavation, similar and subequal to or smaller in diameter than propodeal spiracle
(Borowiec & Longino 2011: fig. 4g–h). Flange over metapleural gland opening rounded posteriorly
(Venezuela) ………………………………………………L. femoralis Borowiec & Longino, 2011
10. Head narrow, HL < 0.30, HW < 0.20, CI < 60. Head dorsum densely foveolate with foveolae
separated by less than their diameter, often contiguous (Colombia) ………………………………
…………………………………………………………………L. sculpturata Brandão et al., 1999
–
Head broader, HL > 0.30, HW > 0.20, CI > 65. Head dorsum less densely foveolate, with
foveolae separated by about their diameter or more ……………………………………………11
11. Size large, HL ≥ 0.50, HW ≥ 0.38. Flange over metapleural gland opening short, not surpassing
propodeum declivity margin in lateral view, and rounded posteriorly ………………………12
–
Smaller, HL < 0.45, HW < 0.35. Flange over metapleural gland opening long, surpassing
propodeum declivity margin in lateral view, and sharply pointed posteriorly ………………13
12. HL = 0.50 on single known specimen. Masticatory margin of mandible distinctly dentate, with
regularly spaced and well-developed teeth (Brandão et al. 1999: fig. 16) (Ecuador) ……………
……………………………………………………………………L. improvisa Brandão et al., 1999
–
HL ≥ 0.58. Masticatory margin of mandible dentate but teeth extremely minute, blunt and
irregularly shaped, difficult to discern even under magnifications of about 100× (Figs 4B, 6C)
(Ecuador) ………………………………………………L. prometea Delsinne & Donoso sp. nov. 13. Ventral margin of petiolar sternite forming an even convexity in lateral view. Reticulation on
mesopleuron, metapleuron and lateral side of petiole uninterrupted. In dorsal view, petiole
subquadrate, 67 ≤ PI ≤ 80 (Ecuador) ………………………L. erinys Borowiec & Longino, 2011
–
Ventral margin of petiolar sternite relatively straight in lateral view (Fig. 3C). Reticulation on
mesopleuron, metapleuron and lateral side of petiole superficial and interrupted. In dorsal view,
petiole slender, rectangular, 52 ≤ PI ≤ 63 (Fig. Paratypes ECUADOR: Same data as holotype: 1 worker, gold-coated for SEM (RBINS, sc 4006301); 1 pinned
(MUTPL, sc 4006303); 1 worker, 96% ethanol (RBINS, sc 4006302, specimen with DNA data). GenBank accession number: KT601697. Measurements (in mm) and indices Holotype (paratype 4006303): HW 0.33 (0.34), HL 0.44 (0.44), SL 0.23 (0.21), PrW 0.2 (0.22), WL 0.56
(0.57), MH 0.17 (0.17), PL 0.17 (0.18), PW 0.09 (0.11), PPL 0.16 (0.18), PPW 0.16 (0.18), AivL 0.26
(0.26), AivW 0.3 (0.33), FFeL 0.23 (0.27), FFeW 0.09 (0.11), HFeL 0.29 (0.29), HTL 0.3 (0.29), CI 75
(76.25), SI 70 (60.66), PI 51.61 (62.5), MI 30 (30.39). Holotype (paratype 4006303): HW 0.33 (0.34), HL 0.44 (0.44), SL 0.23 (0.21), PrW 0.2 (0.22), WL 0.56
(0.57), MH 0.17 (0.17), PL 0.17 (0.18), PW 0.09 (0.11), PPL 0.16 (0.18), PPW 0.16 (0.18), AivL 0.26
(0.26), AivW 0.3 (0.33), FFeL 0.23 (0.27), FFeW 0.09 (0.11), HFeL 0.29 (0.29), HTL 0.3 (0.29), CI 75
(76.25), SI 70 (60.66), PI 51.61 (62.5), MI 30 (30.39). Etymology Name in apposition which refers to the Copalinga Private Reserve, the type locality, in honour of its
owners Catherine Vits and Boudewijn de Roover to acknowledge their efforts for the conservation of
Ecuadorian biodiversity. Diagnosis Leptanilloides copalinga sp. nov. belongs to the L. biconstricta species-group. It can be distinguished
from other species of this group by the combination of the following characters: masticatory margin
of mandible feebly dentate, with teeth extremely minute, blunt and irregularly shaped (Fig. 3A);
lateroclypeal tooth present (difficult to observe in stereo microscopy even at high magnification due to
the small size of the species but obvious in SEM; Fig 3A); head with piligerous foveolae separated by
smooth interspaces equaling 2–3 diameters; reticulation on mesopleuron, metapleuron and lateral side
of petiole superficial and interrupted; flange over metapleural gland opening conspicuous and sharply 8 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador pointed posteriorly, resulting in a projection which surpasses propodeum declivity margin in lateral view
(Fig. 3B); petiole slender in dorsal view, 52 ≤ PI ≤ 63 (Fig. 3D); and subpetiolar process straight (not
distinctly bulging), with a rounded projection anteriorly (Fig. 3C). pointed posteriorly, resulting in a projection which surpasses propodeum declivity margin in lateral view
(Fig. 3B); petiole slender in dorsal view, 52 ≤ PI ≤ 63 (Fig. 3D); and subpetiolar process straight (not
distinctly bulging), with a rounded projection anteriorly (Fig. 3C). Holotype Holotype
ECUADOR: Worker, Zamora-Chinchipe Prov., Copalinga Private Reserve, 1510 m, 4°4’56.6” S,
78°58’5.71” W, 2 Apr. 2010, soil sample, coll. Thibaut Delsinne and Tania Milena Arias-Penna (QCAZ,
sc 4006304). Worker With the characters typical of the genus (see diagnosis and description in Brandão et al. 1999 and
Borowiec & Longino 2011) and of the L. biconstricta species-group (see diagnosis of the group above). Other characters or differences are as follows: Head. Elongate and rectangular with lateral margin nearly straight and parallel. Posterior corner rounded. Posterior margin modestly convex, almost straight. Parafrontal ridge absent. Clypeal lamella strongly
convex (Fig. 3A). Basal and masticatory margins of mandible dentate but teeth extremely minute, blunt
and irregularly shaped, difficult to discern even under magnifications of about 100× (Fig. 3A). Basal and
masticatory margins united by a broad convexity. Basal margin faintly crenulate. Labial and maxillary
palps difficult to discern in situ but formula apparently 2,2. Hypostomal anterior border without distinct
tooth. Scape when laid back failing to reach medial distance to posterior margin of head by nearly one
maximum diameter. Mesosoma. Flange over metapleural gland opening conspicuous and sharply pointed posteriorly, forming
a projection which surpasses propodeum declivity margin (Fig. 3B). Femur not conspicuously enlarged,
relatively slender. Midtibia with one short (i.e., half size of foretibia strigil), pectinate spur (Fig. 3F),
although pectination may be difficult to observe even at high magnification. Hindtibia with one broadly
pectinate spur roughly as long as strigil. Metatibial gland absent or very reduced and not visible even
in SEM. Metasoma. Long and relatively slender. In dorsal view, petiole rectangular with lateral margin slightly
convex, twice as long as wide (Fig. 3D), and as long as abdominal segment III (postpetiole). Anterior 9 European Journal of Taxonomy 143: 1–35 (2015) face concave, posterior face straight. In lateral view, petiole height approximately ¼ smaller than
height of abdominal segment III. Petiolar tergite dome-shaped, with short anterior and posterior faces,
maximum height situated in posterior half. Short tubulated portion present posteriorly. Petiolar spiracle
inconspicuous, not in excavation, set near anterior rim of tergite, similar in form and slightly smaller in
diameter than propodeal spiracle. Subpetiolar process with ventral margin straight to slightly concave,
not distinctly bulging, anteriorly forming rounded projection (Fig. 3C). Maximum height of petiolar
sternite situated medially. In dorsal view, abdominal segment III (postpetiole) trapezoid, with straight,
parallel anterior and posterior faces. Posterior face twice as long as anterior face. In lateral view, tergite
evenly convex, without well-differentiated posterior face. Sternite evenly rounded. In dorsal view,
abdominal segments IV–VI subequal in length. face concave, posterior face straight. Worker In lateral view, petiole height approximately ¼ smaller than
height of abdominal segment III. Petiolar tergite dome-shaped, with short anterior and posterior faces,
maximum height situated in posterior half. Short tubulated portion present posteriorly. Petiolar spiracle
inconspicuous, not in excavation, set near anterior rim of tergite, similar in form and slightly smaller in
diameter than propodeal spiracle. Subpetiolar process with ventral margin straight to slightly concave,
not distinctly bulging, anteriorly forming rounded projection (Fig. 3C). Maximum height of petiolar
sternite situated medially. In dorsal view, abdominal segment III (postpetiole) trapezoid, with straight,
parallel anterior and posterior faces. Posterior face twice as long as anterior face. In lateral view, tergite
evenly convex, without well-differentiated posterior face. Sternite evenly rounded. In dorsal view,
abdominal segments IV–VI subequal in length. Pilosity and sculpture. Mandible smooth and shiny, with few, scattered piligerous punctures. Head
with abundant deep piligerous foveolae and smooth interspaces on average equaling two or three
puncture diameters. Mesosoma and abdomen more finely and sparsely punctate. Fine reticulate sculpture
present laterally on lower pronotum, mesopleuron, propodeum and petiole. Dorsal part of pronotum,
mesopleuron, propodeum and petiole smooth and shiny. Body and appendages with abundant, short and
subdecumbent to suberect hairs. Body color yellow to reddish (Fig. 2), with head and mesosoma darker
than petiole and gaster. Legs and antennae yellowish. Fig. 2. Leptanilloides copalinga Delsinne & Donoso sp. nov. A–C. Paratype worker (specimen code
4006302). D–F. Holotype worker (specimen code 4006304). A, D. Habitus, dorsal view. B, E. Head in
full-face view. C, F. Habitus, lateral view. Fig. 2. Leptanilloides copalinga Delsinne & Donoso sp. nov. A–C. Paratype worker (specimen code
4006302). D–F. Holotype worker (specimen code 4006304). A, D. Habitus, dorsal view. B, E. Head in
full-face view. C, F. Habitus, lateral view. 10 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador Fig. 3. Leptanilloides copalinga Delsinne & Donoso sp. nov. Paratype worker (specimen code 4006301)
A. Anterior part of the head in full-face view, showing vertical and fused frontal carinae, expose
antennal socket, lateroclypeal tooth, strongly convex clypeal lamella and subtriangular mandible wit
minute denticles along its inner margin. B. Lower part of propodeum in lateral view, showing the lon
and sharp flange over the metapleural gland opening. C. Petiole in lateral view. D. Propodeum an
petiole in dorsal view. E. Abdominal segment III (postpetiole) in lateral view. F. Mesotibial spur, shor
and pectinate Fig. 3. Biology Unknown. The type series was found by visual search in a 15×15×15 cm soil core inspected for ants
during 20 person-minutes (the soil content was examined over a white plastic board using a headlamp to
facilitate ant detection), which suggests subterranean habits as observed in other Leptanilloides species. The habitat is a relatively well-preserved evergreen lower montane forest. Soil texture is clay loam;
proportion of sand, silt and clay is 44%, 22%, and 35%, respectively; mean pH = 4 ± 0.2 SD (n = 24
soil samples). Diagnosis Leptanilloides prometea belongs to the L. biconstricta species-group and can be distinguished by the
combination of the following characters: masticatory margin of mandible dentate but teeth extremely
minute, blunt and irregularly shaped (Fig. 6C); lateroclypeal tooth present (Fig. 6C); head with piligerous
foveolae separated by smooth interspaces equaling, on average, puncture diameters; fine, uninterrupted
reticulation on mesopleuron, metapleuron and lateral side of petiole; flange over metapleural gland
opening forming a short, blunt projection (Fig. 6D); and subpetiolar process relatively straight (not
distinctly bulging), without posterior angle (Fig. 6E). Remarks This species belongs to the L. biconstricta species-group. The most similar species are L. biconstricta
and L. atlantica, which also possess a long and sharply pointed flange over the metapleural gland
opening and a straight (not bulging) petiolar sternite with a rounded anterior projection. However, these
two species have a deeper constriction between the postpetiole and abdominal segment IV. Besides,
L. copalinga sp. nov. has a petiole roughly as long as the postpetiole (longer in L. biconstricta) and
its postpetiolar sternite is evenly rounded (distinctly bulging anteriorly in L. biconstricta). Finally,
L. copalinga sp. nov. is larger than L. atlantica (Fig. 1). The other species of the L. biconstricta species-
group are easily distinguished from L. copalinga sp. nov. by, among other characters, the shape of their
petiolar sternite (bulging medially in L. gracilis and L. femoralis; bulging anteriorly in L. erinys), the
shape of the flange over the metapleural gland opening (short and rounded posteriorly in L. improvisa
and L. prometea), the head sculpture (more densely foveolate in L. sculpturata) and the lateroclypeal
tooth (absent in L. caracola). Leptanilloides prometea Delsinne & Donoso sp. nov. urn:lsid:zoobank.org:act:CC756523-8025-4C13-8987-5F91A1E04B7E
Figs 4A–D, 5, 6A–F, 7A–C Leptanilloides prometea Delsinne & Donoso sp. nov. urn:lsid:zoobank.org:act:CC756523-8025-4C13-8987-5F91A1E04B7E
Figs 4A–D, 5, 6A–F, 7A–C Distribution Only known from the type locality. Male
Unknown. Unknown. Worker Leptanilloides copalinga Delsinne & Donoso sp. nov. Paratype worker (specimen code 4006301). A. Anterior part of the head in full-face view, showing vertical and fused frontal carinae, exposed
antennal socket, lateroclypeal tooth, strongly convex clypeal lamella and subtriangular mandible with
minute denticles along its inner margin. B. Lower part of propodeum in lateral view, showing the long
and sharp flange over the metapleural gland opening. C. Petiole in lateral view. D. Propodeum and
petiole in dorsal view. E. Abdominal segment III (postpetiole) in lateral view. F. Mesotibial spur, short
and pectinate. Fig. 3. Leptanilloides copalinga Delsinne & Donoso sp. nov. Paratype worker (specimen code 4006301). A. Anterior part of the head in full-face view, showing vertical and fused frontal carinae, exposed
antennal socket, lateroclypeal tooth, strongly convex clypeal lamella and subtriangular mandible with
minute denticles along its inner margin. B. Lower part of propodeum in lateral view, showing the long
and sharp flange over the metapleural gland opening. C. Petiole in lateral view. D. Propodeum and
petiole in dorsal view. E. Abdominal segment III (postpetiole) in lateral view. F. Mesotibial spur, short
and pectinate. 11 European Journal of Taxonomy 143: 1–35 (2015) Gyne
Unknown. Etymology Name in apposition, in honour of the Prometeo initiative of the Ecuadorian government that seeks to
strengthen research and knowledge transference by getting national and international experts to work
together. This project is aligned to the Ecuadorian “National Development Plan for Good Living”, which
has the objective, among others, of guaranteeing the rights of Nature and promoting a healthy and 12 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador sustainable environment. Furthermore, the species is the largest of the L. biconstricta species-group and
its name nicely reminds us of ‘Prometheus’, the Titan in Greek mythology who brought fire, a symbol
of enlightenment, to mankind. We hope that this new ant species will symbolize the promise of a bright
future for Ecuadorian biodiversity. sustainable environment. Furthermore, the species is the largest of the L. biconstricta species-group and
its name nicely reminds us of ‘Prometheus’, the Titan in Greek mythology who brought fire, a symbol
of enlightenment, to mankind. We hope that this new ant species will symbolize the promise of a bright
future for Ecuadorian biodiversity. Holotype ECUADOR: Worker, Zamora-Chinchipe Prov., Reserva Biológica San Francisco (RBSF), 2070 m,
3°58’ S, 79°05’ W, 13 May 2010, within 0.5 m2 of leaf litter extracted with a mini-Winkler apparatus for
96 h, coll. Thibaut Delsinne and Tania Milena Arias-Penna (QCAZ, sc 4267803). Paratypes (n = 67) ECUADOR: Same data as holotype except that specimens were captured after 48 h of Winkler extraction:
30 workers, 96% ethanol (RBINS, General Inventory Number 33044: sc 4052302 [1 specimen with DNA
data], sc 4052314 [1 specimen with DNA data], sc 4052316 [21 specimens without DNA data]; BMNH
[1 specimen, sc 4052317]; CASC [1 specimen, sc 4052318]; ICN [1 specimen, sc 4052319]; JTLC
[1 specimen, sc 4052320]; MCZC [1 specimen, sc 4052321]; MZSP [1 specimen, sc 4052322]; QCAZ
[1 specimen, sc 4052323]); 3 workers, pinned (MUTPL, sc 4052310, 4052315; RBINS, sc 4052313); Fig. 4. Leptanilloides prometea Delsinne & Donoso sp. nov. – A–C. Paratype worker (specimen code
4052301). A. Habitus, dorsal view. B. Head in full-face view. C. Habitus, lateral view. – D. Apex of
hindtibia; reservoir of metatibial gland is visible under translucent cuticle at the base of the tibial spur
(paratype, specimen code 4052313). Fig. 4. Leptanilloides prometea Delsinne & Donoso sp. nov. – A–C. Paratype worker (specimen code
4052301). A. Habitus, dorsal view. B. Head in full-face view. C. Habitus, lateral view. – D. Apex of
hindtibia; reservoir of metatibial gland is visible under translucent cuticle at the base of the tibial spur
(paratype, specimen code 4052313). 13 European Journal of Taxonomy 143: 1–35 (2015) 2 workers, 96% ethanol after non-destructive DNA extraction (RBINS, sc 4052311, 4052312);
1 worker, gold-coated for SEM (RBINS, sc 4052301). – Same data as holotype except
21 Mar. 2010, within upper 5 cm of organic layer of a core (Ø 5 cm) extracted by heat
using a modified high gradient extractor for 4 days: 28 workers, 96% ethanol (RBINS,
sc 4060601); 2 workers, 96% ethanol after non-destructive DNA extraction (RBINS,
sc 4060602, 4060603); 1 worker, pinned (MUTPL, sc 4060604). GenBank accession numbers:
KT601698–KT601703 and KT750331. Measurements (in mm) and indices Holotype (3 paratypes): HW 0.4 (0.4–0.44), HL 0.58 (0.61–0.62), SL 0.27 (0.29), PrW 0.27 (0.29), WL
0.71 (0.76–0.78), MH 0.23 (0.24), PL 0.22 (0.22–0.23), PW 0.11 (0.12), PPL 0.22 (0.22–0.23), PPW 0.2
(0.22–0.23), AivL 0.31 (0.31–0.33), AivW 0.37 (0.38–0.4), FFeL 0.38 (0.38–0.4), FFeW 0.11 (0.11),
HFeL 0.44 (0.44–0.45), HTL 0.42 (0.44–0.46), CI 69.23 (65.45–71.43), SI 66.67 (66.25–72.22), PI
50.00 (52.5–53.66), MI 32.81 (31.43–32.36). Holotype (3 paratypes): HW 0.4 (0.4–0.44), HL 0.58 (0.61–0.62), SL 0.27 (0.29), PrW 0.27 (0.29), WL
0.71 (0.76–0.78), MH 0.23 (0.24), PL 0.22 (0.22–0.23), PW 0.11 (0.12), PPL 0.22 (0.22–0.23), PPW 0.2
(0.22–0.23), AivL 0.31 (0.31–0.33), AivW 0.37 (0.38–0.4), FFeL 0.38 (0.38–0.4), FFeW 0.11 (0.11),
HFeL 0.44 (0.44–0.45), HTL 0.42 (0.44–0.46), CI 69.23 (65.45–71.43), SI 66.67 (66.25–72.22), PI
50.00 (52.5–53.66), MI 32.81 (31.43–32.36). Worker With the characters typical of the genus (see diagnosis and description in Brandão et al. 1999 and
Borowiec & Longino 2011) and of the L. biconstricta species-group (see diagnosis of the group above). Other characters or differences are as follows: Head. Elongate and rectangular with lateral margin nearly straight and parallel. Posterior corner
rounded. Posterior margin modestly convex, almost straight. Parafrontal ridge absent. Clypeal lamella Fig. 5. Habitus in lateral view of paratype (specimen code 4060601) of Leptanilloides prometea Del-
sinne & Donoso sp. nov. Note the rounded anterior projection of the subpetiolar process, which differs
from the acute shape observed in the specimen on Figs 4C and 6E. Fig. 5. Habitus in lateral view of paratype (specimen code 4060601) of Leptanilloides prometea Del-
sinne & Donoso sp. nov. Note the rounded anterior projection of the subpetiolar process, which differs
from the acute shape observed in the specimen on Figs 4C and 6E. 14 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador strongly convex (Fig. 6C). Masticatory margin of mandible dentate but teeth extremely minute, blunt
and irregularly shaped, difficult to discern even under magnifications of about 100× (Fig. 6C). Basal
and masticatory margins united by a broad convexity. Basal margin faintly crenulate. Labial palp not
readily visible but, at least, one-segmented, maxillary palp two-segmented. Hypostomal anterior border
rounded and slightly projected outward but without forming a distinct tooth (Fig. 6A). Scape when laid
back reaching about medial distance to posterior margin of head. Fig. 6. Leptanilloides prometea Delsinne & Donoso sp. nov. Paratype worker (specimen code 4052301). A. Head, ventral view. B. Mesotibial pectinate spur. C. Anterior part of the head in full-face view,
showing vertical and fused frontal carinae, exposed antennal socket, well-developed lateroclypeal tooth,
strongly convex clypeal lamella and subtriangular mandible with minute denticles along its inner margin. D. Lower part of propodeum in lateral view, showing the flange over the metapleural gland opening. E. Petiole in lateral view. F. Simple claw (hindleg). Fig. 6. Leptanilloides prometea Delsinne & Donoso sp. nov. Paratype worker (specimen code 4052301). A. Head, ventral view. B. Mesotibial pectinate spur. C. Anterior part of the head in full-face view,
showing vertical and fused frontal carinae, exposed antennal socket, well-developed lateroclypeal tooth,
strongly convex clypeal lamella and subtriangular mandible with minute denticles along its inner margin. D. Gyne
Unknown. Male
Unknown. Distribution Only known from the type locality. Worker Lower part of propodeum in lateral view, showing the flange over the metapleural gland opening. E. Petiole in lateral view. F. Simple claw (hindleg). 15 European Journal of Taxonomy 143: 1–35 (2015) Mesosoma. Flange over metapleural gland opening conspicuous and posteriorly forming short, blunt
projection, not surpassing propodeum declivity margin (Fig. 6D). Femur not conspicuously enlarged,
relatively slender. Midtibia with one short (i.e., half size of foretibia strigil), pectinate spur (Fig. 6B),
although pectination may be difficult to observe even at high magnification. Hindtibia with one broadly
pectinate spur roughly as long as strigil. Metatibial gland present, visible at high magnification and good
lighting as translucent oval area at apex of tibia, behind spur insertion (Fig. 4D). Metatibial gland pore
plate observable in SEM (Fig. 7A–C). Metasoma. Long and relatively slender. In dorsal view, petiole uniformly rectangular, twice as long
as wide, as long as abdominal segment III (postpetiole). Anterior face concave, posterior face straight. In lateral view, petiole height approximately ¼ smaller than height of abdominal segment III. Petiolar
tergite dome-shaped, with short and poorly differentiated anterior and posterior faces, maximum height
situated in posterior half. Short tubulated portion present posteriorly. Petiolar spiracle inconspicuous,
not in excavation, set near anterior rim of tergite, similar in form and slightly smaller in diameter than
propodeal spiracle. Subpetiolar process with ventral margin relatively straight (not distinctly bulging),
and without posterior angle (Fig. 6E). Anterior projection of subpetiolar process variable in shape,
acute to rounded (Figs 5, 6E). Maximum height of petiolar sternite situated in its anterior half. In dorsal
view, abdominal segment III (postpetiole) trapezoid, with straight, parallel anterior and posterior faces. Posterior face almost twice as long as anterior face. In lateral view, tergite evenly convex, without
well-differentiated posterior face. Sternite evenly rounded, slightly bulging anteriorly. In dorsal view,
abdominal segments IV–VI subequal in length. Pilosity and sculpture. Mandible smooth and shiny, with few scattered piligerous punctures. Head with
abundant deep piligerous punctures and smooth interspaces on average equaling puncture diameter,
except on ventral side and front where punctures are sparser, separated by more than their diameter. Mesosoma and abdomen more finely and sparsely punctate. Fine reticulate sculpture present laterally
on lower pronotum, entire mesopleuron, propodeum, and petiole. Body and appendages with abundant,
short and subdecumbent to suberect hairs. Body color brownish to reddish, with head and mesosoma
tending to be darker than petiole and gaster. Legs and antennae yellowish. Worker Gyne
Unknown. Biology Unknown. All the specimens were collected from a single reserve bordering the Podocarpus National
Park on the eastern Andean slope of southern Ecuador. The habitat is an evergreen lower montane forest
(Homeier et al. 2008) which is in nearly pristine condition. The forest harbours more than 300 tree
species, with Lauraceae, Melastomataceae and Rubiaceae being the most species-rich families (Homeier
et al. 2012). The mean annual temperature is c. 15 °C and mean annual precipitation is c. 2200 mm,
with low seasonality (Bendix et al. 2008). Soils of the sampling area are cambisols, with a very thick
(often > 50 cm) leaf litter layer (Homeier et al. 2012). Soil texture is sandy silt loam; proportion of sand,
silt and clay is 41%, 52%, and 6%, respectively; mean pH = 3.2 ± 0.1 SD (n = 24 soil samples). 16 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador Material examined Material examined
ECUADOR: 1 ♂, Zamora-Chinchipe Prov., Reserva Biológica San Francisco, entrance of the T1 trail,
1920 m, 3°58’44.09” S, 79°05’8.26” W, 16–29 Mar. 2011, Malaise trap, coll. Thibaut Delsinne and
Tania Milena Arias-Penna (QCAZ, sc 4870101). GenBank accession number: KT601704. Material examined
ECUADOR: 1 ♂, Zamora-Chinchipe Prov., Reserva Biológica San Francisco, entrance of the T1 trail,
1920 m, 3°58’44.09” S, 79°05’8.26” W, 16–29 Mar. 2011, Malaise trap, coll. Thibaut Delsinne and
Tania Milena Arias-Penna (QCAZ, sc 4870101). GenBank accession number: KT601704. Measurements (in mm) and indices HW 0.34, HL 0.31, SL 0.24, LAII 0.07, LAIII 0.09, LAIV 0.09, LAXIII 0.17, EL 0.13, MaL 0.16, PrW
0.33, WL 0.66, MH 0.36, PL 0.12, PW 0.11, PPL 0.33, PPW 0.33, AivL 0.13, AivW 0.33, FFeL 0.36,
FFeW 0.06, HFeL 0.49, HTL 0.4, CI 110.71, SI 70.97, PI 90.91, MI 54.24. Remarks Leptanilloides prometea sp. nov. is the largest species of the L. biconstricta species-group (Fig. 1). The
most similar species in habitus and size is L. improvisa, but head of L. prometea sp. nov. is longer (Fig. 1) Leptanilloides prometea sp. nov. is the largest species of the L. biconstricta species-group (Fig. 1). The
most similar species in habitus and size is L. improvisa, but head of L. prometea sp. nov. is longer (Fig. 1) Fig. 7. Leptanilloides prometea Delsinne &
Denoso sp. nov. Scanning electron micrographs
of the metatibial apex of paratype worker
(specimen code 4052301), showing the meta-
tibial gland pore plate (arrow) at different
magnifications. Fig. 8. Leptanilloides ‘Male 4’ (specimen code 4870101)
from southern Ecuador. A. Head in full face view. B. Habitus in dorsal view. C. Habitus in lateral view. Fig. 7. Leptanilloides prometea Delsinne &
Denoso sp. nov. Scanning electron micrographs
of the metatibial apex of paratype worker
(specimen code 4052301), showing the meta-
tibial gland pore plate (arrow) at different
magnifications. Fig. 8. Leptanilloides ‘Male 4’ (specimen code 4870101)
from southern Ecuador. A. Head in full face view. B. Habitus in dorsal view. C. Habitus in lateral view. 17 European Journal of Taxonomy 143: 1–35 (2015) and its mandible has only minute and irregular teeth along the masticatory margin (teeth are conspicuous
and regularly spaced in L. improvisa). Moreover, L. prometea sp. nov. can easily be distinguished from
other species in the group by: the presence of a conspicuous lateroclypeal tooth (absent in L. caracola),
the evenly rounded sternite of abdominal segment III (bulging anteriorly in L. biconstricta), the petiole
being as long as the postpetiole (petiole longer than postpetiole in L. biconstricta), the petiolar sternite
being higher in its anterior half (bulging medially in L. gracilis and L. femoralis), the head dorsum with
foveolae separated by about their diameter (more densely foveolate in L. sculpturata, with foveolae
separated by less than their diameter), and the short, blunt flange over the metapleural gland opening
(long and sharply pointed in L. atlantica, L. copalinga and L. erinys). Leptanilloides sp. ‘Male 4’ (unassociated to workers)
Figs 8A–C, 9A–B, 10A–B Leptanilloides sp. ‘Male 4’ (unassociated to workers)
Figs 8A–C, 9A–B, 10A–B Description Head. Broader than long, with large convex eye that occupies anterior half of side of head. Mandible
slender, falcate, twisted at apex, overlapping at closure (Fig. 8A). Basal and masticatory margins strongly
concave, separated by well-developed tooth. External margin straight along basal and medial lengths
but strongly bent at apex. Mandible longer than eye length. Lateroclypeal tooth and hypostomal tooth
lacking, clypeus short and transverse, with narrow clypeal lamella (apron). Antennal socket horizontal
and exposed, located at anterior clypeal margin, margin not projecting anteriorly beyond ventral
articulation with labrum. Antenna 13-segmented, each segment longer than wide, with second segment
shortest. Scape of moderate length, 1.5 times longer than length of ultimate antennal segment. Scape
length nearly four times length of second antennal segment. Lateral ocellus separated from median
ocellus by its diameter. Distance between lateral ocelli similar to distance between median and lateral
ocellus; as a result, ocelli forming equilateral triangle. Mesosoma. Pronotum U-shaped in dorsal view and reduced anteromedially to thin horizontal strip, set
below level of dorsally protruding mesonotum and triangular in lateral view, with pointed posterior apex
directed towards wing base. Mesoscutum lacking notaulus. Parapsidal line not discerned, apparently
absent. Axillae depressed, not meeting medially, connected by narrow furrow; tegula very small and
inconspicuous. Mesopleuron lacking oblique transverse sulcus and hence not divided into anepisternum
and katepisternum. Transcutal sulcus deeply impressed. Mesoscutum and mesoscutellum prominently
bulging, in lateral view. Metapleural gland not discernable. Propodeum rounded in profile, with dorsal and
declivous faces only poorly differentiated; dorsal surface somewhat shorter than declivous. Propodeal
spiracle small, circular, positioned slightly above midheight of propodeum and slightly posterior to
metanotum. Leg slender, mid tibia with one simple and hind tibia with one simple spur (observed under
50× magnification), pretarsal claw lacking preapical tooth. Wings (Fig. 9A–B). With relatively well-developed venation (for Leptanilloides). Forewing with C
present, tubular and pigmented. Sc+R approximated to wing margin, very narrow. Sc+R1 in line with 18 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ec
19
9. Wings of Leptanilloides ‘Male 4’ (specimen code 4870101) and terminology used
iption. A. Forewing. B. Hindwing. Description Abbreviations: 2r-rs = second radial-radial sector cros
nal vein, C = costal vein, Cu = cubital vein, cu-a = cubital-anal crossvein, M = medial vein, M
ree abscissa of medial vein, M+Cu = fused medial-cubital veins, Pst = pterostigma, Rs+M =
al and radial sector veins, Rs = radial sector, Rs·f1 (to Rs·f5) = first (to fifth) free abscissa of
r vein, Sc+R = fused subcostal and radial veins, Sc+R1: fused subcostal and first radial vein Fig. 9. Wings of Leptanilloides ‘Male 4’ (specimen code 4870101) and terminology used in the
description. A. Forewing. B. Hindwing. Abbreviations: 2r-rs = second radial-radial sector crossvein,
A = anal vein, C = costal vein, Cu = cubital vein, cu-a = cubital-anal crossvein, M = medial vein, M·f1 =
first free abscissa of medial vein, M+Cu = fused medial-cubital veins, Pst = pterostigma, Rs+M = fused
medial and radial sector veins, Rs = radial sector, Rs·f1 (to Rs·f5) = first (to fifth) free abscissa of radial
sector vein, Sc+R = fused subcostal and radial veins, Sc+R1: fused subcostal and first radial veins. 19 European Journal of Taxonomy 143: 1–35 (2015) Sc+R, tubular. Pterostigma well-marked. M+Cu tubular and pigmented, curved towards posterior wing
margin before division. Rs·f1 nebulous. M·f1 pigmented, tubular. Rs+M, Rs·f2, and Rs·f3 all joined,
tubular and pigmented. 1r-rs absent. 2r-rs present, tubular and pigmented. Rs·f4 and Rs·f5 joined and
not differentiated in absence of 2rs-m. Rs·f4&Rs·f5 partly tubular, then nebulous, terminating before
wing margin. M and Cu diverging at cu-a. Free abscissa of M partly nebulous, then spectral, very weakly
visible, joining to Rs+M&Rs·f2&Rs·f3. Abscissa of Cu joined, nebulous throughout most of length and
continuing as spectral. Vein A tubular, joining cu-a at obtuse angle and confluent with Rs+M, apparently
absent beyond cu-a. Posterior margin of fore wing with fold where hamuli attach, narrow, conspicuous. Hindwing with C present, narrow and faint. Anterior hindwing margin with small differentiated
pigmentation area located in distal half of wing. Three hamuli originate in pigmented region. Sc+R
present, nebulous, almost reaching third of wing length. Sc+R1 absent. Rs·f1&Rs·f2 partly nebulous,
then spectral. Jugal lobe absent. Metasoma. Slender in lateral view, obovate in dorsal view, widest at abdominal segment V. Petiole
(abdominal segment II) longer than high or wide, rectangular in dorsal view, with convex lateral
margin, ovate in lateral view, and weakly constricted posteriorly, helcium thus apparently quite broad. Distribution Only known from the sampling locality. Description Petiolar spiracle located on anterior third of segment, near anterodorsal extremity. Abdominal segment
III three times larger than petiole at its maximum width, not developed as postpetiole nor separated
from abdominal segment IV by marked constriction. Abdominal spiracle III located on anterior third of
tergite. Abdominal segments II and III with tergosternal fusion. Abdominal segment IV and succeeding
segments lacking tergosternal fusion. Spiracle present on anterior third of tergite IV. Abdominal
segments V and VI not separated from succeeding segments by constrictions. Abdominal spiracles
V and VI indiscernible. Abdominal tergite VIII (pygidium) small and simple but visible dorsally, not
wholly covered by abdominal tergite VII. Genitalia (Fig. 10A–B). Pygostyle absent. Abdominal sternite IX (subgenital plate) with posterior
margin broadly and deeply concave but not bifurcate. Basal ring present, not hypertrophied. Paramere
relatively small, harpago rounded at apex; paramere shorter than petiole length. Volsella a simple,
broad lobe, lacking differentiated cuspis. Aedeagus subequal in length to paramere and volsella, simple,
narrow, distally spatulate. Pilosity and sculpture. Integument mostly smooth and shiny, with scattered piligerous punctures. Pilosity common on most of body, suberect to decumbent. Color light brown, head and metasoma past
abdominal segment III slightly darker. Appendages (antennae, mandibles, legs) lighter than body. DNA results The COI sequences of the two new species and ‘Male 4’ differ significantly from each other (p-distances
ranging from 18.8 to 21.7%) (Fig. 11). They also diverge (18–21.8%) from the other Leptanilloides
DNA barcodes available in BOLD (6 specimens, 2 species: L. gracilis from the L. biconstricta species-
group and L. nubecula from the L. legionaria species-group). Our phylogenetic analyses constructed on the basis of the nuclear gene Wg support one clade consisting
of L. prometea sp. nov., L. femoralis, L. gracilis and Amyrmex sp. and another clade composed of
L. nubecula, L. nomada and L. mckennae. Both clades are supported by bootstrap values of 98% and
99% in the neighbour-joining tree, 97% and 100% in the most parsimonious tree, 83% and 100% in
the tree with maximum likelihood and by posterior probabilities of 1 in the tree built with Bayesian
inference (Fig. 12). Remarks The male (specimen code 4870101) collected in southern Ecuador is easily distinguished from any other
leptanilloid males (either of Leptanilloides or Amyrmex species, males of all species of Asphinctanilloides
being unknown) by the unique shape of its mandible. We did not give it a specific name because it is
not associated with workers. However, we called it ‘Male 4’ to indicate that it is different from the three
males (‘Male 1’ to ‘Male 3’) described in Borowiec & Longino (2011), which are also without specific
names. The wing venation of ‘Male 4’ is relatively similar to that of ‘Male 3’ in Borowiec & Longino (2011),
except that the free abscissa of M on the forewing joins Rs+M&Rs·f2&Rs·f3 (not joining in ‘Male 3’)
and Sc+R1 is not visible on the hindwing (present as a short nebulous stub in ‘Male 3’). ‘Males 1 and
2’ of Borowiec & Longino (2011) have more reduced venation, as do the males of Amyrmex (Ward & 20 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecua
21
Fig. 10. Genitalia of Leptanilloides ‘Male 4’ (specimen code 4870101). A. In posterior view. B
entral view. g. 10. Genitalia of Leptanilloides ‘Male 4’ (specimen code 4870101). A. In posterior view. B
ntral view. Fig. 10. Genitalia of Leptanilloides ‘Male 4’ (specimen code 4870101). A. In posterior view. B. In
ventral view. 21 21 European Journal of Taxonomy 143: 1–35 (2015) Brady 2009). The forewing venation of L. mckennae and L. nubecula is also closely similar but, in these
species, veins M and Cu diverge distal to crossvein cu-a (diverging at cu-a in ‘Male 4’). Table 1 lists
informative characters to separate leptanilloid males. Brady 2009). The forewing venation of L. mckennae and L. nubecula is also closely similar but, in these
species, veins M and Cu diverge distal to crossvein cu-a (diverging at cu-a in ‘Male 4’). Table 1 lists
informative characters to separate leptanilloid males. Discussion The discovery of two new Leptanilloides species and a distinct male, which potentially belongs to
another species, confirms assertions such as “there are many more species to be found and we have no
idea how species-rich the [leptanilloid clade] may be” (Longino 2003), “new species [of Leptanilloides]
will continue to be discovered” (Borowiec & Longino 2011), and “the ants may be much more common
and widespread than presently known” (Silva et al. 2013). The rate of species discovery within the
leptanilloid clade is indeed rapidly increasing (Fig. 13), and should continue to do so, thanks to
growing interest in the subterranean ant assemblages, considered as the “final frontier” in the study
of the biodiversity of Formicidae (Ryder Wilkie et al. 2007) and linked with the development of new Fig. 11. Neighbour-joining tree showing p-distances among DNA sequences of the mitochondrial COI
barcode fragment obtained for all specimens of Leptanilloides Mann, 1823 sequenced here and available
in GenBank and BOLD. The tree was rooted with a COI sequence of Cylindromyrmex striatus Mayr, 1870
(GenBank accession number AY233723). Labels provide species identifications and field IDs (in bold)
or GenBank or BOLD numbers. Values at nodes indicate bootstrap support only if it was above 80%. Fig. 11. Neighbour-joining tree showing p-distances among DNA sequences of the mitochondrial COI
barcode fragment obtained for all specimens of Leptanilloides Mann, 1823 sequenced here and available
in GenBank and BOLD. The tree was rooted with a COI sequence of Cylindromyrmex striatus Mayr, 1870
(GenBank accession number AY233723). Labels provide species identifications and field IDs (in bold)
or GenBank or BOLD numbers. Values at nodes indicate bootstrap support only if it was above 80%. Fig. 11. Neighbour-joining tree showing p-distances among DNA sequences of the mitochondrial COI
barcode fragment obtained for all specimens of Leptanilloides Mann, 1823 sequenced here and available
in GenBank and BOLD. The tree was rooted with a COI sequence of Cylindromyrmex striatus Mayr, 1870
(GenBank accession number AY233723). Labels provide species identifications and field IDs (in bold)
or GenBank or BOLD numbers. Values at nodes indicate bootstrap support only if it was above 80%. 22 DELSINNE T., SONET G. Discussion & DONOSO D.A., Two new Leptanilloides from Ecuador Species or
morphospecies
Mandible shape
External margin
of mandible
Clypeal apron
HL, HW, CI
Parapsidal line
Forewing venation
Forewing sub-
marginal cell
Veins M and Cu
Paramere
‘Male 4’
falcate, twisted at
apex, basal and
masticatory strongly
concave, separated
by a well-developed
tooth
straight along
its basal and
medial lengths
but strongly bent
at apex
narrow
0.31, 0.34, 110
not discernable,
apparently absent
relatively well-developed for Leptanilloides
(e.g., Rs·f1 nebulous, M+Cu tubular,
Rs·f4&f5 partly tubular and partly nebulous,
free abscissa of M partly nebulous and partly
spectral, joining Rs+M&Rs·f2&Rs·f3)
relatively short,
no more than
three times longer
than wide, not
extending distad
of stigma
diverging at
crossvein cu-a
shorter than
petiole length
L. mckennae
elongate-triangular,
masticatory
margin edentate
and rounding into
unarmed basal
margin
weakly concave
prominent,
subtriangular,
bluntly pointed
medially
0.59–0.64,
0.45–0.47,
131–135
present (long,
according to
observations
made on pictures
available on
AntWeb 2015a)
relatively well-developed for Leptanilloides
(e.g., according to fig. 3 in Ward 2007:
Rs·f1 tubular, M+Cu tubular, Rs·f4&f5
tubular, free abscissa of M nebulous, joining
Rs+M&Rs·f2&Rs·f3)
relatively short,
no more than
three times longer
than wide, not
extending distad
of stigma
diverging distal to
cu-a by a distance
greater than the
length of the
crossvein
longer (about
1.5×) than
petiole length
L. nubecula
falcate, without
differentiated
masticatory margin,
edentate
strongly and
evenly curved
not specified,
apparently
absent
0.32, 0.32,
100 (perhaps
erroneous; see
Ward & Brady
2009)
not specified
not described but, according to fig. 26
in Donoso et al. (2006), relatively well-
developed (e.g., Rs·f1 tubular, M+Cu
tubular, Rs·f4&f5 tubular, free abscissa of M
nebulous, joining Rs+M&Rs·f2&Rs·f3)
relatively short,
not extending
distad of stigma
diverging distal to
cu-a by a distance
shorter than the
length of the
crossvein
not specified
‘Male 1’ of
Borowiec &
Longino 2011
(good candidate
for male caste of
L. gracilis)
falcate, without
differentiated
masticatory margin,
edentate
evenly curved
absent
0.18–0.24,
0.25–0.31,
115–130
not discernable
extremely reduced (e.g., Rs·f1 absent, M+Cu
nebulous and inconspicuous, Rs·f4&f5
nebulous and poorly visible, free abscissa of
M absent (or at least nebulous and not joining
Rs+M&Rs·f2&Rs·f3, according to fig. Discussion 6f in
Borowiec & Longino 2011)
no closed
submarginal cell
diverging at cu-a
a little longer
than petiole
length
‘Male 2’ of
Borowiec &
Longino 2011
falcate to
linear, without
differentiated
masticatory margin,
edentate
straight, slightly
bent at apex
absent
0.3–0.31,
0.37–0.41,
125–127
weakly marked
but long, running
about two thirds
of mesoscutum
length
relatively well developed (intermediate with,
e.g., Rs·f1 reduced, M+Cu nebulous but
conspicuous, Rs·f4&f5 partly tubular and
partly nebulous, free abscissa of M nebulous
and joining Rs+M&Rs·f2&Rs·f3)
partially closed;
relatively short,
not extending
distad of stigma
diverging at cu-a
a little longer
than petiole
length
‘Male 3’ of
Borowiec &
Longino 2011
elongate-triangular
to sublinear,
masticatory margin
edentate and weakly
differentiated from
the unarmed basal
margin
straight, slightly
bent at apex
narrow
0.32–0.33,
0.42–0.43,
127–136
long, running
about one third
of mesoscutum
length
relatively well-developed (e.g., Rs·f1
nebulous, M+Cu tubular, Rs·f4&f5 tubular,
free abscissa of M nebulous, not joining
Rs+M&Rs·f2&Rs·f3)
relatively short,
less than four
times longer
than wide, not
extending distad
of stigma
diverging at cu-a
shorter than
petiole length
Amyrmex spp. elongate-triangular
to sublinear,
masticatory margin
edentate and weakly
differentiated from
the unarmed basal
margin
curved basally,
straight medially,
and bent slightly
mesad at apex
narrow
HL not
specified, HW
0.32–0.41; CI
125–137
very weakly
impressed, barely
discernable
reduced (e.g., based on Fig. 6 in Ward &
Brady 2009, Rs·f1 tubular, M+Cu tubular,
Rs·f4&f5 tubular, free abscissa of M absent)
elongate, four
times longer than
wide, extending
distad of stigma
diverging at cu-a
shorter (about
0.8×) than
petiole length
Table 1. List of informative characters to separate the Leptanilloides male collected in southern Ecuador (‘Male 4’) from males of L. mckennae
Longino, 2003 (Ward 2007), L. nubecula (Donoso et al. 2006), three males without specific names (Borowiec & Longino 2011), and from males of the
genus Amyrmex Kusnezov, 1953 (Ward & Brady 2009). 23 European Journal of Taxonomy 143: 1–35 (2015) techniques designed to specifically collect this subterranean ant fauna (Weissflog et al. 2000; Berghoff
et al. 2003; Ryder Wilkie et al. 2007; Brandão et al. 2008; Schmidt & Solar 2010). techniques designed to specifically collect this subterranean ant fauna (Weissflog et al. 2000; Berghoff
et al. 2003; Ryder Wilkie et al. 2007; Brandão et al. 2008; Schmidt & Solar 2010). Workers of L. copalinga sp. nov. and L. prometea sp. nov. presented the characteristic morphology of
species from the L. biconstricta species-group. Discussion Interestingly, our phylogenetic analyses, albeit based on a
single nuclear gene, supported the existence of the L. biconstricta and L. legionaria species-groups, and
placed L. prometea sp. nov. within the clade composed of the L. biconstricta species-group, supporting
the morphology-based hypothesis. Our results also suggest that COI can be used as a molecular tool to
identify species of Leptanilloides, since large divergences were observed at COI among specimens that
were assigned to different species on the basis of morphology. Unfortunately, these taxa are currently
known from a limited number of workers and are not all represented in the library of DNA barcodes. Therefore, we could not compare the new sequences with those of all other species in the genus. It
remains necessary to accumulate information concerning the leptanilloid clade to facilitate male-worker
caste association and to establish generic limits with confidence. This case study highlights the interest
in building a comprehensive reference library of COI barcodes and other DNA markers. The characters of the L. legionaria species-group are reminiscent of the three currently known species
of Asphinctanilloides (Longino 2003; Donoso et al. 2006; Borowiec & Longino 2011) [two workers of a
fourth species were recently discovered but have not yet been formally described (Silvestre et al. 2012;
Silvestre pers. comm.)]. However, Asphinctanilloides does not exhibit constrictions (cincti) between
the gastral segments, a condition considered as plesiomorphic within the leptanilloid clade (Brandão
et al. 1999). In addition, four sting characters were identified as apomorphies for Asphinctanilloides,
but because the sting apparatus of only one species of the L. legionaria species-group has been studied
so far (L. legionaria in Brandão et al. 1999), it is not possible to assert that these traits are absent in all
species of Leptanilloides. The monotypic Amyrmex is only known from its male (Ward & Brady 2009). The genus was initially
placed in Dolichoderinae Forel, 1878, but genetic studies, based on fragments of 7–11 nuclear genes,
confirmed that it is nested within Leptanilloides, apparently as sister of the L. biconstricta species-group Fig. 12. Neighbour-joining tree showing p-distances among DNA sequences of the wingless nuclear
marker obtained for specimens of Leptanilloides Mann, 1823, Amyrmex Kusnezov, 1953 and Cylindro-
myrmex Mayr, 1870 (as outgroup), available in GenBank and sequenced here (specimen code 4052311). Labels provide species identifications and field IDs (in bold) or GenBank or BOLD numbers. Discussion Values
at nodes correspond to the bootstrap values (%) and posterior probabilities obtained in the Neighbour-
joining/parsimony/maximum likelihood/Bayesian inference analyses. Bootstrap values < 80% and
posterior probabilities < 0.95 are not indicated. Fig. 12. Neighbour-joining tree showing p-distances among DNA sequences of the wingless nuclear
marker obtained for specimens of Leptanilloides Mann, 1823, Amyrmex Kusnezov, 1953 and Cylindro-
myrmex Mayr, 1870 (as outgroup), available in GenBank and sequenced here (specimen code 4052311). Labels provide species identifications and field IDs (in bold) or GenBank or BOLD numbers. Values
at nodes correspond to the bootstrap values (%) and posterior probabilities obtained in the Neighbour-
joining/parsimony/maximum likelihood/Bayesian inference analyses. Bootstrap values < 80% and
posterior probabilities < 0.95 are not indicated. 24 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador (Ward & Brady 2009; Brady et al. 2014) or even nested within this species-group (this study). It is therefore
clear that generic limits within the leptanilloid clade should be reassessed (Longino 2003; Ward & Brady
2009; Borowiec & Longino 2011). However, a broad set of uncertainties hampers that task, including
(1) the unknown molecular-based phylogenetic position of Asphinctanilloides, (2) the unknown worker
and male caste of Amyrmex and Asphinctanilloides, respectively, (3) the poor morphological distinction
between the L. legionaria species-group and Asphinctanilloides, (4) the lack of collection series for
nearly all species to correctly appreciate intra- and interspecific morphological variations, and (5) the
availability of molecular data for only a limited number of species of Leptanilloides. The morphology of the two new species of Leptanilloides corresponds to the diagnosis of the genus
based on the worker caste offered by Borowiec & Longino (2011), except that these species have
one pectinate spur on both mid- and hindtibiae, giving the spur formula 1p,1p. The midtibial spur is
small, making the pectination difficult to observe with a stereo microscope even at high magnification;
however, SEM examinations were conclusive. Hitherto, the spur formula in species of Leptanilloides
has been considered to be either 1s,1p or 2s,2s (Borowiec & Longino 2011). We had the opportunity to
study paratypes of L. nomada (QCAZ I 119692) and L. nubecula (QCAZ I 119693, QCAZ I 119694). The three specimens possess a single short, but pectinate midtibial spur. This character also seems to
be present in L. atlantica (Silva et al. 2013: fig. 2d). Discussion It could be interesting to reassess this criterion in
previously described species of Leptanilloides and Asphinctanilloides, in order to evaluate its taxonomic
value. A metatibial gland was detected in L. prometea sp. nov. (Fig. 7). In stereo microscopy, the gland reservoir
is visible under the translucent cuticle at the base of the hindtibial spur, but observing it requires good Fig. 13. Cumulative number of described species of Leptanilloides Mann, 1823 over time, since the
description of L. biconstricta Mann, 1823. Fig. 13. Cumulative number of described species of Leptanilloides Mann, 1823 over time, since the
description of L. biconstricta Mann, 1823. 25 European Journal of Taxonomy 143: 1–35 (2015) lighting. In SEM, the gland area appears as an irregular patch of porous cuticle, contrasting with the
smoother surrounding surface, as in L. erinys of the L. biconstricta species-group and L. nubecula of
the L. legionaria species-group (Borowiec & Longino 2011). We were not able, however, to discern a
metatibial gland in L. copalinga sp. nov. lighting. In SEM, the gland area appears as an irregular patch of porous cuticle, contrasting with the
smoother surrounding surface, as in L. erinys of the L. biconstricta species-group and L. nubecula of
the L. legionaria species-group (Borowiec & Longino 2011). We were not able, however, to discern a
metatibial gland in L. copalinga sp. nov. As already noted by Donoso et al. (2006), the mandibles of Leptanilloides males vary greatly in shape,
ranging from elongate-triangular to falcate (sickle-shaped), and with basal and masticatory margins
ranging from undifferentiated to forming two distinct concavities. In Eciton Latreille, 1804 and Dorylus
Fabricius, 1793, two other genera of Dorylinae, males use their sickle-shaped mandibles to grab the
dichthadiigyne at her petiolar horns during copulation (Kronauer & Boomsma 2007). In Leptanilloides,
the gyne caste is known for only two species, L. nubecula (Donoso et al. 2006) and L. erinys (Borowiec &
Longino 2011). In both species, the gyne is subdichthadiiform with an enlarged petiole but without the
dorsal or lateral horns typical of Eciton and Dorylus gynes. It is reasonable to expect that most males of
Leptanilloides also use their elongate mandibles to grab the female behind the petiole during copulation. However, the variety of mandibular shapes also suggests that males may display different reproductive
behaviors (Shik et al. 2013). The recent discovery of L. Note added in press During the editing process, a 15th species of Leptanilloides, namely L. chihuahuaensis MacGown,
Schiefer & Branstetter, 2015, was described based on six males from western Texas, USA. This species
extends the range of the genus 2500 km to the north and indicates that it possesses a larger ecological niche
than suspected, since it can also be found in xeric ecosystems. The COI sequence of L. chihuahuaensis
is distant by more than 10 % from L. copalinga sp. nov., L. prometea sp. nov. and ‘Male 4’, providing
convincing support that L. chihuahuaensis is neither the male of L. copalinga or L. prometea, nor the
same species as ‘Male 4’. Moreover, the mandible shape of ‘Male 4’ remains unique within the genus. MacGown J.A., Schiefer T.L. & Branstetter M.G. 2015. First record of the genus Leptanilloides (Hymeno-
ptera: Formicidae: Dorylinae) from the United States. Zootaxa 4006: 392-400. http://dx.doi.org/10.11646/
zootaxa.4006.2.10 Discussion atlantica in the Brazilian Atlantic Forest considerably expanded the geographic
range of the genus (Silva et al. 2013). Nevertheless, it seems that the highest diversity of Leptanilloides
occurs in the Andes, especially at high elevations. In this respect, the montane forests and páramos of
Ecuador are noteworthy, since half of the currently known species of Leptanilloides (i.e., 7 out of 14)
were collected in these habitats. Unfortunately, Andean ecosystems are currently being destroyed at an
alarming rate (Goerner et al. 2007; Tejedor Garavito et al. 2012; Thies et al. 2014; Curatola Fernández
et al. 2015). To determine whether the observed distribution of species of Leptanilloides is a mere
sampling artifact or an actually existing pattern (Silva et al. 2013), it would be necessary to (1) carry
out more inventories of the subterranean ant fauna in the Andes and elsewhere, and (2) secure the
conservation of Andean habitats. Acknowledgements We warmly thank Catherine Vits and Boudewijn de Roover from the Copalinga Private Reserve for access
to their estate; Jörg Bendix, Felix Matt, Jörg Zeilinger, the DFG-Deutsche Forschungsgemeinschaft
Research Unit 816, the team of the Estación Científica San Francisco (ECSF) and Naturaleza y Cultura
Internacional for allowing and extensively facilitating our work at ECSF and RBSF; the Ministerio
del Ambiente of the Republic of Ecuador for collection permits; Isabelle Bachy, Julien Cillis, Yves
Laurent, and Maurice Leponce from RBINS for their help with ant digitization; and Tania Milena
Arias-Penna, Delia Magaly Montalván Carrión, and Jaime Peña for assistance during fieldwork. The 26 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador authors thank Marek Borowiec and one anonymous reviewer for insightful comments and suggestions. The fieldwork of this research was funded by the Belgian Federal Science Policy Office (BELSPO)
through an Action 1 Impulse for Research, and the molecular analyses by the JEMU-Joint Experimental
Molecular Unit. Thibaut Delsinne thanks the Secretary of Higher Education, Science, Technology and
Innovation (SENESCYT) of the Government of Ecuador for financial support (Prometeo grant) during
the taxonomic study and the writing of this article. References Abouheif E. & Wray G.A. 2002. Evolution of the gene network underlying wing polyphenism in ants. Science 297: 249–252. http://dx.doi.org/10.1126/science.1071468 AntWeb. 2015a. Species: Leptanilloides mckennae Longino, 2003; list. Available from http://www. antweb.org//browse.do?subfamily=dorylinae&genus=leptanilloides&species=mckennae&rank=specie
s&project=worldants [accessed 18 May 2015] AntWeb. 2015b. Species: Leptanilloides biconstricta Mann, 1923; list. Available from http://www. antweb.org/browse.do?genus=leptanilloides&species=biconstricta&rank=species&project=worldants
[accessed 18 May 2015] Bendix J., Rollenbeck R., Richter M., Fabian P. & Emck P. 2008. Climate. In: Beck E., Bendix J., Kottke
I., Makeschin F. & Mosandl R. (eds) Gradients in a Tropical Mountain Ecosystem of Ecuador: 63–73. Ecological Studies 198, Springer, Berlin. http://dx.doi.org/10.1007/978-3-540-73526-7 Berghoff S.M., Maschwitz U. & Linsenmair K.E. 2003. Hypogaeic and epigaeic ant diversity on Borneo:
evaluation of baited sieve buckets as a study method. Tropical Zoology 16: 153–163. http://dx.doi.org/1
0.1080/03946975.2003.10531192 Bolton B. 1990. Army ants reassessed: the phylogeny and classification of the doryline
section (Hymenoptera, Formicidae). Journal of Natural History 24: 1339–1364. http://dx.doi. org/10.1080/00222939000770811 Bolton B. 2003. Synopsis and Classification of Formicidae. Memoirs of the American Entomological
Institute 71, American Entomological Institute, Gainesville, FL. Borowiec M.L. & Longino J.T. 2011. Three new species and reassessment of the rare Neotropical ant
genus Leptanilloides (Hymenoptera, Formicidae, Leptanilloidinae). ZooKeys 133: 19–48. http://dx.doi. org/10.3897/zookeys.133.1479 Boudinot B. 2015. Contributions to the knowledge of Formicidae (Hymenoptera, Aculeata): a new
diagnosis of the family, the first global male-based key to subfamilies, and a treatment of early branching
lineages. European Journal of Taxonomy 120: 1–62. http://dx.doi.org/10.5852/ejt.2015.120 Brady S.G. & Ward P.S. 2005. Morphological phylogeny of army ants and other dorylomorphs
(Hymenoptera: Formicidae). Systematic Entomology 30: 593–618. http://dx.doi.org/10.1111/j.1365-
3113.2005.00290.x Brady S.G., Schultz T.R., Fisher B.L. & Ward P.S. 2014. The rise of army ants and their relatives:
diversification of specialized predatory doryline ants. BMC Evolutionary Biology 14: e93. http://dx.doi. org/10.1186/1471-2148-14-93 org/10.1186/1471-2148-14-93 Brandão C.R.F., Diniz J.L.M., Agosti D. & Delabie J.H.C. 1999. Revision of the Neotropical ant
subfamily Leptanilloidinae. Systematic Entomology 24: 17–36. http://dx.doi.org/10.1046/j.1365-
3113.1999.00064.x Brandão C.R.F., Feitosa R.M., Schmidt F.A. & Ribeiro de Castro Solar R. 2008. Rediscovery of the
putatively extinct ant species Simopelta minima (Brandão) (Hymenoptera, Formicidae), with a discussion 27 European Journal of Taxonomy 143: 1–35 (2015) on rarity and conservation status of ant species. Revista Brasileira de Entomologia 52: 480–483. http://
dx.doi.org/10.1590/S0085-56262008000300026 Curatola Fernández G.F., Obermeier W.A., Gerique A., López Sandoval M.F., Lehnert L.W., Thies B. & Bendix J. 2015. Land cover change in the Andes of Southern Ecuador—Patterns and drivers. Remote
Sensing 7: 2509–2542. http://dx.doi.org/10.3390/rs70302509 Delsinne T., Sonet G., Nagy Z.T., Wauters N., Jacquemin J. & Leponce M. 2012. High species turnover
of the ant genus Solenopsis (Hymenoptera: Formicidae) along an altitudinal gradient in the Ecuadorian
Andes, indicated by a combined DNA sequencing and morphological approach. Invertebrate Systematics
26: 457–469. http://dx.doi.org/10.1071/IS12030 Donoso D.A., Vieira J.M. & Wild A.L. 2006. Three new species of Leptanilloides Mann from Andean
Ecuador (Formicidade: Leptanilloidinae). Zootaxa 1201: 47–62. Folmer O., Black M., Hoeh W., Lutz R. & Vrijenhoek R. 1994. DNA primers for amplification of
mitochondrial cytochrome C oxidase subunit I from diverse metazoan invertebrates. Molecular Marine
Biology and Biotechnology 3: 294–299. Goerner A., Gloaguen R. & Makeschin F. 2007. Monitoring of the Ecuadorian mountain rainforest with
remote sensing. Journal of Applied Remote Sensing 1: 1–12. http://dx.doi.org/10.1117/1.2784111 Hadley A. 2010. CombineZP. Available from http://www.hadleyweb.pwp.blueyonder.co.uk/ [accessed
6 Jun. 2010] Homeier J., Werner F.A., Breckle S.-W., Gradstein S.R. & Richter M. 2008. Potential vegetation and
floristic composition of Andean forests in South Ecuador, with a focus on the Reserva San Francisco. In: Beck E., Bendix J., Kottke I., Makeschin F. & Mosandl R. (eds) Gradients in a Tropical Mountain
Ecosystem of Ecuador: 87–100. Ecological Studies 198, Springer, Berlin. http://dx.doi.org/10.1007/978-
3-540-73526-7 Homeier J., Hertel D., Camenzind T., Cumbicus N.L., Maraun M., Martinson G.O., Poma N.L., Rillig
M.C., Sandmann D., Scheu S., Veldkamp E., Wilcke W., Wullaert H. & Leuschner C. 2012. Tropical
Andean forests are highly susceptible to nutrient inputs—Rapid effects of experimental N and P
addition to an Ecuadorian montane forest. PLoS ONE 7 (10): e47128. http://dx.doi.org/10.1371/journal. pone.0047128 Jukes T.H. & Cantor C.R. 1969. Evolution of protein molecules. In: Munro H.M. (ed.) Mammalian
Protein Metabolism: 21-132. Academic Press, New York. Kronauer D.J.C. & Boomsma J.J. 2007. org/10.1186/1471-2148-14-93 Do army ant queens re-mate later in life? Insectes Sociaux 54:
20–28. http://dx.doi.org/10.1007/s00040-007-0904-2 Lanfear R., Calcott B., Ho S.Y.W. & Guindon S. 2012. PartitionFinder: Combined selection of partitioning
schemes and substitution models for phylogenetic analyses. Molecular Biology and Evolution 29: 1695–
1701. http://dx.doi.org/10.1093/molbev/mss020 Lesaffre E. & Lawson A.B. 2012. Bayesian Biostatistics, First Edition. John Wiley & Sons Ltd.,
Chichester, UK. Longino J.T. 2003. A new Costa Rican species of Leptanilloides (Hymenoptera: Formicidae: doryline
section: Leptanilloidinae). Zootaxa 264: 1–6. Mann W.M. 1923. Two new ants from Bolivia. Psyche 30: 13–18. http://dx.doi.org/10.1155/192 Paradis E., Claude J. & Strimmer K. 2004. APE: analyses of phylogenetics and evolution in R language. Bioinformatics 20: 289–290. http://dx.doi.org/10.1093/bioinformatics/btg412 28 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador Posada D. 2003. Using Modeltest and PAUP* to select a model of nucleotide substitution. In: Baxevanis
A.D., Davison D.B., Page R.D.M., Petsko G.A., Stein L.D. & Stormo G.D. (eds) Current Protocols in
Bioinformatics: 6.5.1–6.5.14. John Wiley & Sons, Hoboken, New Jersey. Rambaut A., Suchard M.A., Xie D. & Drummond A.J. 2014. Tracer, ver. 1.6. Available from http://
beast.bio.ed.ac.uk/Tracer [accessed 17 Aug. 2015] Ratnasingham S. & Hebert P.D.N. 2007. The Barcode of Life Data System BOLD. Molecular Ecology
Notes 7: 355–364. http://dx.doi.org/10.1111/j.1471-8286.2007.01678.x Ronquist F., Huelsenbeck J. & Teslenko M. 2011. Draft MrBayes version 3.2 manual: tutorials and
model summaries. Available from http://mrbayes.sourceforge.net/manual.php [accessed 10 Mar. 2015] Ronquist F., Teslenko M., van der Mark P., Ayres D.L., Darling A., Höhna S., Larget B., Liu L. &
Suchard M.A. 2012. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a
large model space. Systematic Biology 61: 539–542. http://dx.doi.org/10.1093/sysbio/sys029 Ryder Wilkie K.T., Mertl A.L. & Traniello J.F.A. 2007. Biodiversity below ground: probing the
subterranean ant fauna of Amazonia. Naturwissenschaften 94: 725–731. http://dx.doi.org/10.1007/
s00114-007-0250-2 SAS Institute. 2009. SAS/STAT® 9.2, User’s Guide, Second Edition. SAS Institute Inc., Cary, North
Carolina. Schliep K.P. 2011. phangorn: phylogenetic analysis in R. Bioinformatics 27 (4): 592–593. http://dx.doi. org/10.1093/bioinformatics/btq706 Schmidt F.A. & Solar R.R.C. 2010. Hypogaeic pitfall traps: methodological advances and remarks to
improve the sampling of a hidden ant fauna. Insectes Sociaux 57: 261–266. http://dx.doi.org/10.1007/
s00040-010-0078-1 Shik J.Z., Donoso D.A. & Kaspari M. 2013. The life history continuum hypothesis links traits of male
ants with life outside the nest. Entomologia Experimentalis et Applicata 149: 99–109. http://dx.doi. org/10.1111/eea.12117 Silva R.R., Feitosa R.M., Brandão C.R.F. & Freitas A.V.L. 2013. org/10.1186/1471-2148-14-93 The first Leptanilloides species
(Hymenoptera: Formicidae: Leptanilloidinae) from eastern South America. Journal of Natural History
47 (31–32): 2039–2047. http://dx.doi.org/10.1080/00222933.2012.763058 Silvestre R., Demétrio M.F. & Delabie J.H.C. 2012. Community structure of leaf-litter ants in a
Neotropical dry forest: a biogeographic approach to explain betadiversity. Psyche 2012: e306925. http://
dx.doi.org/10.1155/2012/306925 Tamura K., Stecher G., Peterson D., Filipski A. & Kumar S. 2013. MEGA6: Molecular evolutionary
genetics analysis, version 6.0. Molecular Biology and Evolution 30: 2725–2729. http://dx.doi. org/10.1093/molbev/mst197 Tejedor Garavito N., Álvarez E., Arango Caro S., Araujo Murakami A., Blundo C., Boza Espinoza T.E.,
La Torre Cuadros M.A., Gaviria J., Gutiérrez N., Jørgensen P.M., León B., López Camacho R., Malizia
L., Millán B., Moraes M., Pacheco S., Rey Benayas J.M., Reynel C., Timaná de la Flor M., Ulloa
Ulloa C., Vacas Cruz O. & Newton A.C. 2012. Evaluación del estado de conservación de los bosques
montanos en los Andes Tropicales. Ecosistemas 21 (1–2): 148–166. Thies B., Meyer H., Nauss T. & Bendix J. 2014. Projecting land-use and land-cover changes in a tropical
mountain forest of Southern Ecuador. Journal of Land Use Science 9: 1–33. http://dx.doi.org/10.1080/
1747423X.2012.718378 29 European Journal of Taxonomy 143: 1–35 (2015) Thompson J.D., Higgins D.G. & Gibson T.J. 1994. CLUSTAL W: improving the sensitivity of progressive
multiple sequence alignment through sequence weighting, position-specific gap penalties and weight
matrix choice. Nucleic Acids Research 22: 4673–4680. http://dx.doi.org/10.1093/nar/22.22.4673 Ward P.S. 2007. The ant genus Leptanilloides: discovery of the male and evaluation of phylogenetic
relationships based on DNA sequence data. In: Snelling R.R., Fisher R.B. & Ward P.S. (eds) Advances
in Ant Systematics (Hymenoptera: Formicidae): Homage to E.O. Wilson – 50 Years of Contributions:
637–649. Memoirs of the American Entomological Institute 80, American Entomological Institute,
Gainesville, FL. Ward P.S. & Downie D.A. 2005. The ant subfamily Pseudomyrmecinae (Hymenoptera: Formicidae):
Phylogeny and evolution of big-eyed arboreal ants. Systematic Entomology 30: 310–335. http://dx.doi. org/10.1111/j.1365-3113.2004.00281.x org/10.1111/j.1365-3113.2004.00281.x Ward P.S & Brady S.G. 2009. Rediscovery of the ant genus Amyrmex Kusnezov (Hymenoptera:
Formicidae) and its transfer from Dolichoderinae to Leptanilloidinae. Zootaxa 2063: 46–54. Weissflog A., Sternheim E., Dorow W.H.O., Berghoff S. & Maschwitz U. 2000. How to study subterranean
army ants: a novel method for locating and monitoring field populations of the South East Asian army
ant Dorylus (Dichthadia) laevigatus Smith, 1857 (Formicidae, Dorylinae) with observations on their
ecology. Insectes Sociaux 47: 317–324. http://dx.doi.org/10.1007/PL00001723 Zabala G.E., Vélez M.H. & Góngora C.B. 2006. Nuevos registros de especies de hormigas (Hymenoptera:
Formicidae) para Colombia. Revista Colombiana de Entomología 32 (2): 227–229. Zwickl D.J. 2006. Genetic Algorithm Approaches for the Phylogenetic Analysis of Large Biological
Sequence Datasets under the Maximum Likelihood Criterion. PhD Thesis. University of Texas at Austin,
Texas. Zwickl D.J. 2006. Genetic Algorithm Approaches for the Phylogenetic Analysis of Large Biological
Sequence Datasets under the Maximum Likelihood Criterion. PhD Thesis. University of Texas at Austin,
Texas. Manuscript received: 22 June 2015
Manuscript accepted: 12 August 2015
Published on: 8 October 2015
Topic editor: Koen Martens
Desk editor: Danny Eibye-Jacobsen Printed versions of all papers are also deposited in the libraries of the institutes that are members of
the EJT consortium: Muséum National d’Histoire Naturelle, Paris, France; Botanic Garden Meise,
Belgium; Royal Museum for Central Africa, Tervuren, Belgium; Natural History Museum, London,
United Kingdom; Royal Belgian Institute of Natural Sciences, Brussels, Belgium; Natural History
Museum of Denmark, Copenhagen, Denmark. 30 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador Appendix 1 Nexus file with all aligned sequences of the wingless gene (Wg) used in this paper and Mr Bayes
command block. #NEXUS #NEXUS
begin data;
dimensions ntax=10 nchar=412;
format missing=? gap=- datatype=dna;
matrix 4052311_L_prometea
ACTACCGAACTTCCGCGTTGTCGGCGACAACCTGAAGGATCGTTTCGACGGCGCGTCC
CGGGTGATGGTGACCAATTCGGACCGCGCCCGCATCATCGCAGCTAACGCGATTACCA
GCAACTCGGCCAGCAACTCCGTGCACCAGCACCGCGGCGGTCTCGCACGCCGGCAGCGC
TACAATTTCCAATTAAAACCGTACAATCCGGAGCACAAGCCGCCCGGGCGCAAGGACCTC
GTCTACGTGGAAACGTCGCCGGGCTTCTGCGAGAAGAACCCGAAATTCGGCATCCTCGG
CACGCAGGGCCGTCAGTGCAACGACACCAGCATCGGCGTCGACGGGTGCGACTTGATGT
GCTGCGGCAGAGGCTACAAGACCCAGGAGGTGACGGTGA?CGAGAGGT?C??CTGCTCC FJ588490_Amyrmex_BR01
GCTGCCGAACTTCCGCGTTGTCGGCGACAACCTGAAGGACCGTTTCGACGGCGCGTCG
CGGGTAATGGTGACCAACTCGGACCGCGCCCGCATCATCGCGGCTAACGCGATTACCA
GCAACTCGGCCAGCAACTCCGTGCACCAGCACCGCGGCGGTCTCGCACGCCGGCAGCGC
TACAATTTCCAACTGAAACCGTACAATCCGGAGCACAAGCCGCCCGGGCGCAAGGACCT
CGTCTACGTGGAGGCGTCGCCGGGCTTCTGCGAGAAGAACCCGAAATTCGGCATCCTCG
GCACCCACGGCCGCCAGTGCAACGATACCAGCATCGGCGTCGACGGATGCGACCTGATGT
GCTGCGGCAGGGGCTACAAGACCCAGGAGGTAACAGTGATCGAGAGGTGCGCCTGCACC J
_ _
GCTGCCGAACTTCCGCTCTGTCGGCGACAACCTGAAGGACCGTTTCGACGGCGCGTCCCG
GGTGATGATGACCCTCTCGGACCGCCCCCGCAGC---GCGGCGAACGCGATTATCAGCAACT
CGGCCAGCAACTCCGTGCACCAGCACCGGAGCGGTCTCGCGCGCCGCCAGCGCTACAAC
TTCCAGCTGAAACCGTACAATCCGGAGCACAAGCCGCCCGGGCGCAAGGACCTCGTTTA
CGTGGAAGCGTCGCCGGGTTTCTGCGAGAGGAACCCGAAATTCGGCATCATGGGCACC
CACGGCCGCCAGTGCAACGACACCAGCATCGGCGTCGACGGCTGCGACCTCATGTGCTG
CGGCAGGGGCTACAAGACCCAGGAGGTGACGGTGATCGAGAGGTGCGCCTGCACG KJ523540_L_gracilis
GCTGCCCAACTTCCGCGTCGTCGGCGACAACCTGAAGGACCGTTTCGACGGCGCGTCC
CGGGTAATGGTGACCAATTCCGACCGCGCCCGCATCATCGCGGCTAACGCGATTACCA
GCAACTCGGCCAGCAATTCCGTGCACCAGCACCGCGGCGGCCTCGTGCGCCGGCAGCGC
TACCATTTCCAGCTGAAACCGTACAATCCGGAGCACAAGCCGCCCGGGCGCAAGGACCT
CGTCTACGTGGAGGCGTCGCCGGGCTTCTGCGAGAAGAACCCGCGATTCGGCATCCTCGG
CACCCACGGACGCCAGTGCAACGACACCAGCATCGGCGTCGACGGCTGCGACCTCATGT
GCTGCGGCAGGGGCTACAAGACCCAGGAGGTCACGGTGATCGAGAGGTGCGCCTGCACC KJ523539_L_femoralis _ _
GCTACCGAACTTCCGCGTTGTCGGCGACAACTTGAAGGACCGTTTCGACGGGGCGTCC
CGGGTGATGGTGACCAACTCGGACCGCGCCCGCATCATCGCGGCTAACGCGATTACCA
GCAACTCGGCCAGCAACTCCGTGCACCAGCACCGCGGCGGTCTTGCACGCCGGCAGCGC 31 European Journal of Taxonomy 143: 1–35 (2015) TACAATTTCCAACTGAAACCGTACAACCCGGAGCACAAGCCGCCAGGGCGCAAGGACCT
CGTGTACGTGGAGACGTCGCCGGGCTTCTGCGAGAAGAACCCGAAATTCGGCATTATGGG
CACCCACGGCCGGCAATGCAACGACACCAGCATTGGCGTCGACGGGTGCGACCTCATGT
GCTGCGGCAGGGGTTACAAGACCCAGGAGGTGACGGTGATCGAGAGGTGCGCCTGCACC DQ353106_L_nomada DQ353106_L_nomada
GCTGCCCAACTTCCGCTCAGTCGGCGACAACCTGAAGGACCGTTTCGACGGCGCCTC
GCGGGTGATGATTACCCTCTCGGACCGTCCCCGCAGC---GCGGCGAACGCGATTATCA
GCAACTCGGCCAGCAACTCCGTGCACCAGCACCGGAGCGGTCTCGCGCGCCGCCAGCGC
TACAACTTCCAGCTGAAACCGTACAATCCGGAGCACAAGCCGCCCGGGCGCAAGGACCT
CGTGTACGTGGAAGCGTCGCCGGGTTTCTGCGAGAGGAACCCGAAATTCGGCATCATGGG
CACCCACGGCCGGCAGTGCAACGACACCAGCATCGGCGTCGACGGCTGCGACCTGATGT
GCTGCGGCAGGGGCTACAAGACCCAGGAGGTGACGGTGATCGAGAGGTGCGCCTGCACG AY867429_L_mckennae AY867429_L_mckennae
GCTGCCGAACTTCCGCTCTGTCGGCGACAACCTGAAGGACCGTTTCGACGGCGCGTCC
CGGGTGATGATGACCCTGTCGGACCGCCCCCGCAGC---GCGGCGAACGCGATTATCA
GCAACTCGGCCAGCAACTCCGTGCACCAGCACCGTAGCGGTCTCGCGCGCCGCCAGCGC
TACAACTTCCAGCTGAAGCCGTACAATCCGGAGCACAAGCCGCCCGGGCGCAAGGACCT
CGTGTACGTGGAGGCGTCGCCGGGTTTCTGCGAGAAGAACCCGAAATTCGGCATCATGGG
CACCCACGGCCGGCAGTGCAACGACACCAGCATCGGCGTCGACGGCTGCGACCTAATGT
GCTGCGGCAGGGGCTACAAGACCCAGGAGGTGACGGTGATCGAGAGGTGCGCCTGCACG _ _
GCTGCCCAACTTCCGCGTGGTCGGCGACAACCTGAAGGACCGCTTCGACGGCGCGTCA
CGAGTGATGGTGACCAACTCGGATCGCGCCCGCAGC---AACGCCAACGCCATCATCA
GCAACTCGGCCAGCAACTCCGTGCACAATCACCGCGGTGGTCTGGGACGTCGGCAGCGC
TACAACATCCAGCTGAAGCCGTACAATCCGGAGCACAAGCCGCCCGGGAGCAAGGACCT
CGTGTACGTGGAGCCGTCGCCGCCGTTCTGCGAGAAGAACCCGAAACTCGGGATCCTGG
GCACCCACGGCCGGCAGTGCAACGACACGAGCATCGGCGTCGATGGCTGCGACCTGATG
TGCTGCGGCAGAGGCTACAAGACCGAGGAGGTGACGGTGATCGAGAGGTGCGCCTGCA
CG AY233640_C_striatus
ACTGCCGAACTTCCGCGTGGTCGGCGACAACCTGAAGGACCGCTTCGACGGCGCGTC
TCGAGTGATGGTGACGAACTCGGATCGCGCTCGCGGC---AACGCGAACGCCATCATCA
GCAACTCGGCCAGCAACTCCGTGCACCATCACCGCGCTGGGCTGGGACGTCGGCAGCGC
TACAACATCCAGCTGAAGCCGTACAATCCGGAGCACAAGCCGCCCGGCAGCAAGGACCT
CGTCTACGTGGAGCCGTCGCCGCCGTTCTGCGAGAAGAACCCGAAACTCGGCATCCTGG
GCACCCACGGCCGGCAGTGCAACGACACCAGCATCGGCGTCGACGGCTGCGACCTGATG
TGCTGCGGCAGGGGCTACAAGACCGAGGAGGTGACGGTGATCGAGAGGTGCGCC?????? AY867426_C_striatus
ACTGCCGAACTTCCGCGTGGTCGGCGACAATCTGAAGGACCGCTTCGACGGCGCGTC
TCGAGTGATGGTGACGAACTCGGATCGCGCTCGCGGC---AACGCGAACGCCATCATCA
GCAACTCGGCCAGCAACTCCGTGCACCATCACCGCGCTGGGCTGGGACGTCGGCAGCGC
TACAACATCCAGCTGAAGCCGTACAATCCGGAGCACAAGCCGCCCGGCAGCAAGGACCT
CGTCTACGTGGAGCCGTCGCCGCCGTTCTGCGAGAAGAACCCGAAACTCGGCATCCTGGG
CACCCACGGCCGGCAGTGCAACGACACCAGCATCGGCGTCGACGGCTGCGACCTGATGT
GCTGCGGCAGGGGCTACAAGACCGAGGAGGTGACGGTGATCGAGAGGTGCGCCTGCACG 32 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador charset 1st = 2-412\3;
charset 2nd = 3-412\3;
charset 3rd = 1-412\3; charpartition bypart = wg1:1st, wg2:2nd, wg3:3rd;
end; begin codons;
codonposset * coding=
1:2-412\3,
2:3-412\3,
3:1-412\3;
end; partition genes = 3: wg1, wg2, wg3
set partition = genes;
lset applyto=(2,3) nst=1;
lset applyto=(1) nst=6;
lset applyto=(1) rates=Gamma;
lset applyto=(2,3) rates=Equal; partition genes = 3: wg1, wg2, wg3; partition genes = 3: wg1, wg2, wg3;
set partition = genes;
lset applyto=(2,3) nst=1;
lset applyto=(1) nst=6;
lset applyto=(1) rates=Gamma;
lset applyto=(2,3) rates=Equal; unlink statefreq=(all) revmat=(all) shape=(all) pinvar=(all);
prset applyto=(all) ratepr=variable;
mcmcp ngen=10000000 printfreq=1000 samplefreq=1000 nchains=4 savebrlens=yes filename=w
ghok_BI;
mcmc;
end; unlink statefreq=(all) revmat=(all) shape=(all) pinvar=(all); unlink statefreq=(all) revmat=(all) shape=(all) pinvar=(all); prset applyto=(all) ratepr=variable; mcmcp ngen=10000000 printfreq=1000 samplefreq=1000 nchains=4 savebrlens=yes filename=w
ghok_BI;
mcmc;
end; 33 European Journal of Taxonomy 143: 1–35 (2015) R script used for the parsimony analysis. library(ape)
library(phangorn)
dna<-read.dna(“input.fasta”,”fasta”)
dnaphy<-as.phyDat(dna)
tre.ini<-nj(dist.dna(dna,model=”raw”))
parsimony(tre.ini, dnaphy)
tre.pars<-optim.parsimony(tre.ini, dnaphy)
root(tre.pars,out=10)
tre.Ratchet<-pratchet(dnaphy, trace = 0)
tres.pars<-bootstrap.phyDat(dnaphy, pratchet, trace=0)
tre.Ratchet<-acctran(tre.Ratchet, dnaphy)
plotBS(tre.Ratchet, tres.pars)->treB.pars
write.tree(treB.pars, “RParsimony.phy”) library(ape)
library(phangorn)
dna<-read.dna(“input.fasta”,”fasta”)
dnaphy<-as.phyDat(dna)
tre.ini<-nj(dist.dna(dna,model=”raw”))
parsimony(tre.ini, dnaphy)
tre.pars<-optim.parsimony(tre.ini, dnaphy)
root(tre.pars,out=10)
tre.Ratchet<-pratchet(dnaphy, trace = 0)
tres.pars<-bootstrap.phyDat(dnaphy, pratchet, trace=0)
tre.Ratchet<-acctran(tre.Ratchet, dnaphy)
plotBS(tre.Ratchet, tres.pars)->treB.pars
write.tree(treB.pars, “RParsimony.phy”) 34 34 DELSINNE T., SONET G. & DONOSO D.A., Two new Leptanilloides from Ecuador Appendix 3 Configuration file used for the maximum likelihood analysis using GARLI ver. 2.0 (Zwickl 2006).. [general]
datafname = wghok.nex
constraintfile = none
streefname = stepwise
attachmentspertaxon = 50
ofprefix = MLgarlibest
randseed = -1
availablememory = 512
logevery = 10
saveevery = 100
refinestart = 1
outputeachbettertopology = 0
outputcurrentbesttopology = 0
enforcetermconditions = 1
genthreshfortopoterm = 5000
scorethreshforterm = 0.001
significanttopochange = 0.01
outputphyliptree = 0
outputmostlyuselessfiles = 0
writecheckpoints = 0
restart = 0
outgroup = 10
resampleproportion = 1.0
inferinternalstateprobs = 0
outputsitelikelihoods = 0
optimizeinputonly = 0
collapsebranches = 1 numratecats = 1
invariantsites = non numratecats = 1 invariantsites = none [model3]
datatype = nucleotide
ratematrix = ( 0 1 2 2 3 0 )
statefrequencies = estimate
ratehetmodel = gamma
numratecats = 4
invariantsites = none
[master]
nindivs = 2
holdover = 1
selectionintensity = 0.5
holdoverpenalty = 0
stopgen = 5000000
stoptime = 5000000
startoptprec = 0.5
minoptprec = 0.01
numberofprecreductions = 10
treerejectionthreshold = 50.0
topoweight = 1
modweight = 0.05
brlenweight = 0.2
randnniweight = 0.1
randsprweight = 0.3
limsprweight = 0.6
intervallength = 100
intervalstostore = 5
limsprrange = 6
meanbrlenmuts = 5
gammashapebrlen = 1000
gammashapemodel = 1000
uniqueswapbias = 0.1
distanceswapbias = 1.0 [model1]
datatype = nucleotide
ratematrix = ( 0 0 0 0 0 0 )
statefrequencies = estimate
ratehetmodel = none
numratecats = 1
invariantsites = none [model2]
datatype = nucleotide
ratematrix = ( 0 0 0 0 0 0 )
statefrequencies = estimate
ratehetmodel = none 35
|
https://openalex.org/W1976613160
|
https://docusalut.com/bitstream/20.500.13003/11275/1/000335503000001.pdf
|
English
| null |
Effectiveness of a complex intervention in reducing the prevalence of smoking among adolescents: study design of a cluster-randomized controlled trial
|
BMC public health
| 2,014
|
cc-by
| 6,367
|
STUDY PROTOCOL Open Access Open Access © 2014 Leiva et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain
Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article,
unless otherwise stated. Effectiveness of a complex intervention in reducing
the prevalence of smoking among adolescents:
study design of a cluster-randomized controlled
trial so Leiva1*, Andreu Estela2, Maties Torrent3, Amador Calafat4, Miquel Bennasar5 and Aina Yáñez6 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 * Correspondence: aleiva@ibsalut.caib.es
1Primary Care Research Unit of Mallorca, Baleares Health services-IbSalut,
Mallorca, Spain
Full list of author information is available at the end of the article Abstract Trial registration: Current Controlled Trials: NCT01602796. Keywords: Adolescent, Intervention study, Randomized controlled trial, Risk-reducing behavior, Schools Keywords: Adolescent, Intervention study, Randomized controlled trial, Risk-reducing behavior, Schools Abstract Background: The likelihood of an adolescent taking up smoking may be influenced by his or her society, school
and family. Thus, changes in the immediate environment may alter a young person’s perception of smoking. Methods/Design: The proposed multi-center, cluster-randomized controlled trial will be stratified by the baseline
prevalence of smoking in schools. Municipalities with fewer than 100,000 inhabitants will be randomly assigned to a
control or intervention group. One secondary school will be randomly selected from each municipality. These schools
will be randomized to two groups: the students of one will receive any existing educational course regarding smoking,
while those of the other school will receive a four-year, class-based curriculum intervention (22 classroom lessons) aimed
at reinforcing a smoke-free school policy and encouraging smoking cessation in parents, pupils, and teachers. The
intervention will also include annual meetings with parents and efforts to empower adolescents to change the
smoking related attitudes and behaviors in their homes classrooms and communities g
p
p
smoking-related attitudes and behaviors in their homes, classrooms and communities. g
We will enroll children aged 12-13 years as they enter secondary school during two consecutive school years (to obtain
sufficient enrolled subjects). We will follow them for five years, until two years after they leave secondary school. All
external evaluators and analysts will be blinded to school allocation. y
The aim of this study is to analyze the effectiveness of a complex intervention in reducing the prevalence of smoking in
the third year of compulsory secondary education (ESO) and two years after secondary school, when the participants are
14-15 and 17-18 years old, respectively. The aim of this study is to analyze the effectiveness of a complex intervention in reducing the prevalence of smoking in
the third year of compulsory secondary education (ESO) and two years after secondary school, when the participants are
14-15 and 17-18 years old, respectively. Discussion: Most interventions aimed at preventing smoking among adolescents yield little to no positive long-term
effects. This clinical trial will analyze the effectiveness of a complex intervention aimed at reducing the incidence and
prevalence of smoking in this vulnerable age group. Discussion: Most interventions aimed at preventing smoking among adolescents yield little to no positive long-term
effects. This clinical trial will analyze the effectiveness of a complex intervention aimed at reducing the incidence and
prevalence of smoking in this vulnerable age group. Trial registration: Current Controlled Trials: NCT01602796. Background approximately 15% of 14- and 15-year-olds smoking, al-
though this percentage varies from 7% to 23% among
countries [3]. Some countries have reported a change in
the pattern of initial consumption in recent years, with
more girls beginning to smoke, especially among younger
age groups [4]. Within any given country, a high variability
in smoking behavior is seen across schools [5-7]. Tobacco use is a known risk factor for many chronic
illnesses; it is the main cause of avoidable mortality
in Europe, and it is responsible for 4.2 million deaths
per year worldwide [1,2]. The prevalence of tobacco use
among adolescents in the European Union is high, with The various factors associated with taking up smoking
can be grouped into three categories, individual, social
and cultural factors [8]. Individual factors are intrinsically * Correspondence: aleiva@ibsalut.caib.es
1Primary Care Research Unit of Mallorca, Baleares Health services-IbSalut,
Mallorca, Spain
Full list of author information is available at the end of the article Page 2 of 8 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 in municipalities. There is 53 municipalities in Majorca
and 8 in Minorca, between 300 to 350,000 inhabitants. All Balearic Island municipalities in Majorca and Minorca
having fewer than 100,000 inhabitants and at least one
public compulsory secondary-educational institution will
be included. In municipalities containing more than one
secondary school, the secondary school to be included will
be determined through a randomization process. If the se-
lected school declines to participate, another school from
the same municipality will be invited to take part. linked to a given person and include the individual’s age
and certain cognitive, emotional and biological aspects. The factors associated with the immediate social con-
text (i.e., the environment closest to the adolescent)
include the smoking-related attitudes and behaviors of
family members and friends. The factors associated
with the socio-cultural environment (i.e., the wider so-
cial context) include the smoking policy of the adoles-
cent’s school. Around 70% of current smokers began smoking before
the age of 18 years, and those who do not begin to
smoke by this age are highly unlikely to become smokers
as adults [9]. Study population
Th
l i The populations of the included municipalities vary from
11,000 and 30,000 inhabitants. The main economic ac-
tivities of these communities are tourism and farming. The study participants will consist of all 12-13 year-
old students, who enrolled in the first grade of compul-
sory secondary education (ESO) over two consecutive
academic periods (i.e., 2011-12 and 2012-13). The inter-
vention will take place over the four years during which
these adolescents are enrolled in ESO. Written informed
consent will be obtained from all students and from at
least one parent/guardian per student, according to the
declaration of Helsinki. A review of the effectiveness of distinct school- and/or
community-based interventions to prevent smoking [10]
indicates that multi-sector interventions (i.e. those involv-
ing the classroom, school, extracurricular activities, family,
and community) yield more promising results than single-
sector interventions. Furthermore, the evidence suggests
that school-based preventive programs are not effective on
their own; instead, interventions should be community-
based, and should have impacts in the classroom, the
school environment, and the community [11]. Random assignment
f
d Cluster randomization is required because the inter-
ventions will be implemented at the school level. Once informed consent and the commitment to partici-
pate have been obtained from the students/parents and
the school, respectively, a baseline survey will be per-
formed to determine the prevalence of smoking. There-
after, the participating schools will be subjected to
stratified randomization according to the baseline preva-
lence of tobacco use at each school by the “random”
module, and the option separate strata of PEPI (version
4.0, Sagebrush Press). Measurements Table 1 summarizes the study measurements, variables
and schedule. The baseline questionnaire will gather data
on a given student’s sociodemographic characteristics, en-
vironment and tobacco use, and the attitudes of his/her Background Preventing young people from starting to
smoke and helping young smokers break the habit are
currently the most effective means to reduce the number
of deaths attributable to smoking in the medium and
long terms. To this end, various European countries
have introduced programs designed to prevent tobacco
use. Such programs should be based on scientific evi-
dence and seek to reach children before they commence
smoking. Recruitment Headmasters at the selected schools will be contacted by
a research team member, who will provide details about
the study and invite the school to participate. Pilot study A pilot program is currently underway in a single public
secondary education center to test the proposed inter-
vention, the materials, and the data-collection networks. Following the four-year intervention and follow-up, data
will be gathered and evaluated. We plan to implement
the full study at the two-year mark of the pilot program. We propose to carry out a cluster-randomised con-
trolled clinical trial to analyse the effectiveness of a
multifactorial intervention addressed to adolescents and, in
particular, their environment (educational centre, teachers
and parents), as we believe that altering the adolescents’
immediate environment could have a considerable effect
on reducing tobacco use among the young. Design and environment This prospective multi-center cluster-randomized con-
trolled trial will involve schools and communities strati-
fied by school-level tobacco consumption at baseline. The clusters will consist of municipalities in the Balearic
Islands. Control schools will continue to implement any
smoking-prevention activities that are already in place
when the study begins. Inclusion criteria The Balearic island is organized into four insular coun-
cils (Majorca, Minorca, Ibiza and Formentera) and those Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 Page 3 of 8 Table 1 Measures, questionnaires and timeline
Instrument
Assessment area
Timing of assessment
Pre-test questionnaire
Baseline prevalence of smoking
Before randomization
Baseline data form
Student smoking behaviors
At baseline
Teacher baseline data
form
Teacher smoking behaviors and attitudes towards smoking and
prevention
At baseline
Parent baseline data
form
Parent smoking behaviors and attitudes towards smoking
At baseline
Smoking prevalence
form
Prevalence of smoking among adolescents
After the fourth year of ESO and two years after
graduation Table 1 Measures, questionnaires and timeline
Instrument
Assessment area Before randomization workshops that are designed to sensitize participants to
the power of advertising. The intervention will also seek
to: debunk false beliefs about tobacco; encourage posi-
tive means for coping with emotion, stress and peer
pressure; and help students develop interpersonal rela-
tionship skills, self-esteem, strategies for accepting rules
and limits, critical thinking skills, problem-solving skills,
and the ability to recognize risky situations. parents and teachers towards smoking. The smoking ques-
tion was adapted from a previously validated questionnaire
for adolescents [12]. Information on tobacco use will be
collected through the following question: Which of the
following statements best describes you? (A) I have never
tried to smoke; (B) I have tried cigarettes a few times, but I
do not smoke now; (C) I currently smoke less than one
cigarette per month; (D) I currently smoke at least one
cigarette per month, but less than one cigarette per week;
(E) I currently smoke at least one cigarette per week; (F) I
smoke every day; (G) I used to smoke regularly in the past,
but I do not smoke now. The classroom sessions will be given by trained teachers
in the intervention components, smoking prevention and
Health. It will consist of seven lessons in the first year (ages
12-13), six lessons in the second year (ages 13-14), five les-
sons in the third year (ages 14-15) and four lessons in the
fourth year (ages 15-16) of ESO. All lessons will be age-
appropriate and relevant to the students’ curricula. All
lessons will include material that students will work on
together with their parents. Intervention ITACA (“multifactorial intervention to reduce the preva-
lence of smoking in the adolescent population: a cluster-
randomized trial”) is a cognitive-behavioral intervention
based on the social-influences model. It is designed to
prevent adolescents from starting to smoke and to em-
power them to change the smoking-related attitudes and
behaviors within their immediate environments, including
their homes, classrooms and communities (e.g., neighbor-
hoods, town squares and/or villages). This intervention will
be integrated into the schools’ curricular activities. The
main components of this intervention and the activities to
be performed are summarized in Table 2. Families
Th The parents of our participants will meet with the
personnel of the study, at least once per year at the be-
ginning of each academic to receive information about
the intervention and learn how they can help keep their
children from smoking. These meetings will focus on en-
couraging parents to: have an appropriate attitude to-
wards drug use; recognize situations that constitute a
risk for adolescents; establish rules and limits; be sensi-
tive to the role that family plays in tobacco use; and par-
ticipate in the smoke-free home initiative. At least once
per year, a workshop on smoking cessation will be held
for the participating families of each municipality. Fourth year (age 15-16 years) Second year (age 13-14 years) Third year (age 14-15 years) Second year (age 13-14 years) Third year (age 14-15 years) Four lessons: one on the harmful effects
of smoking; one on refusal skills (critical
thinking and problem-solving skills); two
on identifying social influences that
encourage people to start smoking
(tobacco company advertising campaigns,
debunking false beliefs about tobacco),
and smoking cessation Seven lessons: two on information
about the harmful effects of
smoking; four on refusal skills
(self-esteem, interpersonal relationship
skills, problem-solving skills, ability to
recognize risky situations, and
strategies for accepting rules and
limits); and one on identifying social
influences that encourage people to
start smoking, and smoking cessation Five lessons: three on refusal skills
(strategies for accepting rules and
limits, problem-solving skills, group
pressure, self-esteem and coping
with emotion and stress); two on
identifying social influences
(debunking false beliefs about
tobacco, and anti-advertising
workshops designed to sensitize
people to the power of advertising),
and smoking cessation Six lessons: three about the harmful
effects of smoking; one on refusal
skills (interpersonal relationship skills
and critical thinking); two on
identifying social influences that
encourage people to start smoking
(tobacco company advertising
campaigns, debunking false beliefs
about tobacco), and smoking
cessation Five lessons: three on refusal skills
(strategies for accepting rules and
limits, problem-solving skills, group
pressure, self-esteem and coping
with emotion and stress); two on
identifying social influences
(debunking false beliefs about
tobacco, and anti-advertising
workshops designed to sensitize
people to the power of advertising),
and smoking cessation Two work meetings focused on parental
attitudes towards drug consumption and
helping parents recognize risky situations,
establish rules and limits, understand the
family’s role in tobacco use and the
smoke-free home initiative, and implement
smoking cessation Parental interventions Two work meetings focused on
parental attitudes towards drug
consumption and helping parents
recognize risky situations, establish
rules and limits, understand the
family’s role in tobacco use and
the smoke-free home initiative,
and implement smoking cessation Two work meetings focused on
parental attitudes towards drug
consumption and helping parents
recognize risky situations, establish
rules and limits, understand the
family’s role in tobacco use and
the smoke-free home initiative,
and implement smoking cessation Two work meetings focused on
parental attitudes towards drug
consumption and helping parents
recognize risky situations,
establish rules and limits, understand
the family’s role in tobacco use and
the smoke-free home initiative, and
implement smoking cessation Collaborate with the student on homework
regarding parental tobacco habits and
attitudes, social norms and passive smoking Collaborate with the student on
homework regarding parental
tobacco habits and attitudes,
social norms and passive smoking Collaborate with the student on
homework regarding parental
tobacco habits and attitudes,
social norms and passive smoking Collaborate with the student on
homework regarding parental
tobacco habits and attitudes,
social norms and passive smoking Classroom sessions
h
f The four-year curricular component will consist of 22
lessons of approximately 50 minutes each, including
eight lessons that will be presented as part of the envir-
onmental sciences curriculum, six as part of the social
sciences curriculum, two as part of the physical educa-
tion curriculum, one in the mathematics curriculum,
and five that will be presented as student tutorials. One novel aspect of the intervention is that 20% of the
curricular sessions will ask the student to involve their
families in home-based tasks related to smoking preven-
tion. Furthermore, a minimum of three leaflets will be
provided each year regarding smoking in adolescents. The leaflets will contain answers to questions frequently
asked by families, along with support material from the
curricular sessions that parents and students can work
on together. Parents will also receive information on
make your home a smoke-free. Finally, parents will have
access to a webpage that offers information on the school The components of the social-influences model that
will integrated into this curriculum include teaching stu-
dents to identify the social influences that encourage
people to start smoking (e.g., tobacco company advertis-
ing campaigns, peer pressure), providing information
about the harmful effects of smoking, and nurturing re-
fusal skills. The curriculum will include anti-advertising Table 2 Intervention components
Component of the intervention
First year (age 12-13 years)
School-based interventions
Seven lessons: two on inform Fourth year (age 15-16 years) Statistical analysis
S
l
i
A y
Sample size A recent study on smoking in adolescents
aged 14-15 years (third year of ESO) found that the
prevalence of regular tobacco use in the Balearic Islands
was 14% [13]. Using this as the prevalence for our control
group and presuming that our intervention will reduce the
prevalence of tobacco consumption in the intervention
group by at least 40%, the use of 1,002 students per group
will yield a statistical power > 80% for our between-group
comparisons, assuming a bilateral α error of 5% and a 10%
loss of participants to follow-up. The cluster size will be
approximately 100 adolescents per municipality; we expect
a 0.02 intra-class correlation coefficient [14], yielding a
2.98 cluster design effect. The design effect was calculated
using the formula: Deff = 1 + (m – 1) * ICC; where “Deff”
corresponds to the design effect, “m” is the cluster size
and “ICC” is the intraclass correlation coefficient. The tar-
get sample size for each group was calculated to be 1,113
students, or 2,226 students in total. To achieve this sample The protocol for implementing the basic curriculum
and the supplementary components of the intervention
have been standardized in an effort to homogenize the
intervention. The supplementary components include:
the timing and contents of the lessons; agendas for the
teachers’ meetings; the contents of the initial teacher-
training workshop; the contents of the parental meetings;
and the establishment of a professional advice network for
parents and teachers who decide to quit smoking during
the study. Teacher interventions Teacher training on: competences
related to smoking prevention in
adolescents; managing conflict
situations; attitudes towards
preventive activities; information
on the prevalence of smokers in
the educational center; and
smoking cessation Smoking cessation Smoking cessation. Smoking cessation Smoke-free policy reinforcement Smoke-free policy reinforcement The schools will be invited to
adopt a smoke-free environment,
implement the school’s own rules,
and establish rule-compliance
indicators Page 5 of 8 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 intervention, tips on how families can help prevent chil-
dren from smoking, and advice on smoking cessation in
adolescents. including visits by the research team and periodic mail-
ings to each school informing them of the progress of
the study and recognizing their crucial role. The import-
ance of the control group in the study will also be
emphasized. Teachers and the school’ The final follow-up evaluation will occur six years after
inclusion, when the participants will have left the partici-
pating school. At least three telephone contact numbers
and the addresses of parents and tutors will be obtained
early in the study. If a student is not easily located for
the final evaluation, additional efforts will be made to
contact them by telephone and letter. Efforts will be
made to minimize the rate of loss to follow-up to reduce
any possible bias resulting from loss to follow-up and to
adequately assess the impact of the intervention. Prior to the start of the intervention, the teachers of the
enrolled schools will participate in training course. Dur-
ing this course, the needs of the teaching staff regarding
smoking prevention and health themes will be identified. This course has been recognized by local government
boards of education. Each school will designate a coord-
inator to carry out the intervention. Classroom lessons will be subject to approval accord-
ing to the school’s internal rules, and a communication
system involving the coordinator, the teachers and the
project researchers will be established. Annual meetings
will be held with the school management team to reach
agreements on the application of current legislation and
the organizational structure of each smoke-free school. Teachers will participate in an initial on-line 20-hour
training workshop. They will be instructed on skills re-
lated to smoking prevention in adolescents and man-
agement of conflict situations. This workshop will also
address the teachers’ attitudes towards drug use and in-
struct them on preventive activities that will promote
health. Outcome assessments
Th
i bl The measures, variables, and timeline are summarized in
Table 1. The baseline prevalence of smoking in each
school will be assessed by an external evaluator who will
be blinded to the group (intervention or control) to
which the school has been allocated. All outcome asses-
sors and data analysts will also be blinded to school allo-
cation. To evaluate the effectiveness of blinding, these
individuals will be asked to choose the arm to which
they believe each school was assigned (possible answers:
intervention, control, or unknown). Individuals who re-
spond “intervention” or “control group” will be asked to
indicate what led to the formation of that belief. The pri-
mary outcome measure will be the prevalence of smok-
ing at years three and six from enrollment. This will be
assessed by self reports of tobacco consumption, where
smokers are defined as those who consume more than
one cigarette per week. The participating schools will be invited to adopt a
smoke-free environment policy. The teachers at each
school will hold a meeting to establish the school’s rules
with respect to tobacco use by pupils and teachers. Each
school will: implement its own rules; evaluate compli-
ance; inform all teachers, students and parents of the
changes being made to the rules; and establish a means
to assess and record rule-compliance indicators, includ-
ing incidents involving students and others smoking in
the school. Strategies to ensure implementation of the intervention
and avoid loss to follow-up For the project to be successful, we will need to main-
tain our collaborations with the schools for at least four
years. Therefore, all activities associated with the project
must conform to the needs and interests of each school. Specific activities will be designed to promote continuity, Page 6 of 8 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 size, students in the first year of ESO (aged 12-13 years)
will be recruited over two consecutive years at 22 schools
in the Balearic Islands. selection bias, with higher rates of non-participation
by students attending the intervention schools com-
pared to the control schools. However, in our pilot study
implementing the intervention, the response rate to the
first evaluation survey of tobacco use in 14 year olds was
85%. Analytic strategy We will test for significant differ-
ences in baseline characteristics between the control
and intervention groups. We will perform a descriptive
and cluster analysis with continuous variables summa-
rized using means and standard deviations for normal
distributions, and by medians and 25th and 75th per-
centiles for non-normal distributions. All data analyses
will involve intention-to-treat populations (i.e., all ran-
domized patients, regardless of participation in any
treatment session). This approach will reduce the bias
that may occur when participants that fail to receive
the assigned treatments are excluded from the analysis. All tests will be two-sided, and α-values of 0.05 will be
considered statistically significant. Long-term follow-up of former students can be diffi-
cult because many youths move away from home and
have life experiences that complicate follow-up. This
may result in selection biases that could compromise the
internal validity of the study. Consequently, efforts will
be made to collect as many contact details as possible
before students leave the school (e.g., the physical ad-
dresses of their parents, telephone numbers, e-mail ad-
dresses, and social network information). Multiple efforts
will be made to maintain contact with former students
and their families, thus minimizing the rate of loss to
follow-up. We will compare the smoking prevalence of adolescents
in each group at 12 months against the usual null hy-
pothesis of no difference between groups. We will use
the Chi-squared test, taking into account the “variance
inflation factor” of the adolescent cluster and intraclass
correlation coefficient. We will also calculate 95% confi-
dence intervals to assess the clinical significance of our
intervention. Ethical approval During adolescence, young people consider and ex-
plore a wide variety of options, contemplate an ideal
world, and reflect on alternative political, religious, fam-
ily and moral systems. The discrepancies between an ad-
olescent’s ideal world and the real world are traditionally
understood to form the basis for conflicts with the sys-
tem, family, and/or moral imperatives. However, it is
possible to take advantage of these capacities of adoles-
cents and provide them with the necessary tools to effect
changes in their environment. Our study protocol has been approved by the Primary
Care Research Committee of Majorca and the Balearic
Island Clinical Research Ethical Committee (IB 1146/09 PI). Strategies to ensure implementation of the intervention
and avoid loss to follow-up In our multivariate analysis, we will adjust
for potential confounders, if any, using a multilevel lo-
gistic regression model. We will estimate the relative
and absolute risk reductions and the number needed to
treat (i.e., the estimated number of adolescents who
must be treated with our intervention rather than the
existing school interventions for one additional adoles-
cent to be prevented from smoking), which will be cal-
culated as the reciprocal of the difference between the
prevalence of adolescent smokers in the intervention
and control groups. All estimates will include 95% confi-
dence intervals. To guarantee the comparability of the control and
intervention groups, the municipalities will be stratified
according to the baseline prevalence of smoking in the
school prior to the intervention. Discussion In the European Union, the percentage of regular smokers
quadruples (from 5% to 21%) between the ages of 12 and
16 years, with the smoking rate in the latter group being
similar to that in adults [13]. The factors related to smok-
ing include tobacco use among friends and older siblings,
gender, availability of money, the intention to smoke in
the future, low self-control in resisting the pressure to
smoke, spending free time in bars, and low self-esteem
[15-18]. Experts on smoking have therefore proposed in-
terventions in which adolescents are given information
about tobacco use and taught to identify and resist social
influences. Most of these interventions, however, have not
demonstrated the expected positive results in randomized
clinical trials [19-25]. Authors’ contributions Authors’ contributions
AY, AE, MT, AC and AL collectively drafted the study protocol and sought
funding and ethical approval. AE and AY designed the intervention and are
responsible for managing the trial. All authors have critically commented on
a draft manuscript and have approved the final manuscript. 16. Ariza-Cardenal C, Nebot-Adell M: Factors associated with smoking progression
among Spanish adolescents. Health Educ Res 2002, 17:750–760. 17. Ariza-Cardenal C, Nebot-Adell M: Predictors of the onset of tobacco
consumption among secondary school students of Barcelona and
Lleida. Rev Esp Salud Publica 2002, 76:227–238. Received: 22 January 2014 Accepted: 27 March 2014
Published: 16 April 2014 Received: 22 January 2014 Accepted: 27 March 2014
Published: 16 April 2014 Acknowledgments 18. Tomas Z, Ariza C, Valmayor S, Mudde A, Nebot M: [Factors associated with
smoking and the intention to smoke in secondary school pupils: results
of the ESFA project in Barcelona, Spain]. Gac Sanit 2002, 16:131–138. This study is being supported by a grant from the Health Research Funds
(Fondos de Investigación Sanitaria; FIS) of the Carlos III Health Institute
(PI10/00517). The work is also being supported by the Health Promotion
and Preventive Activities-Primary Health Care Network, which is sustained
by the Ministry of Health of Spain (ISCIII-RETCI G03/170 and RD06/0018). We are extremely grateful to the teachers and students of the participating
schools for collaborating with us and supporting this study. 19. Peterson AV Jr, Kealey KA, Mann SL, Marek PM, Sarason IG: Hutchinson
Smoking Prevention Project: long-term randomized trial in school-based
tobacco use prevention–results on smoking. J Natl Cancer Inst 2000,
92:1979–1991. 20. Perry CL, Kelder SH, Murray DM, Klepp KI: Communitywide smoking
prevention: long-term outcomes of the Minnesota Heart Health Program
and the Class of 1989 Study. Am J Public Health 1992, 82:1210–1216. References 1. Peto R, Lopez AD, Boreham J, Thun M, Heath C Jr, Doll R: Mortality from
smoking worldwide. Br Med Bull 1996, 52:12–21. 1. Peto R, Lopez AD, Boreham J, Thun M, Heath C Jr, Doll R: Mortality from
smoking worldwide. Br Med Bull 1996, 52:12–21. 2. The world health report 2002 - Reducing risks, promoting healthy life: The
world health report 2002 - Reducing risks, promoting healthy life. Geneva:
World Health Organization; 2002. http://www.who.int/whr/2002/en/,
accessed 10 May 2010. 3. Hublet A, De BD, Valimaa R, Godeau E, Schmid H, Rahav G, Maes L:
Smoking trends among adolescents from 1990 to 2002 in ten European
countries and Canada. BMC Public Health 2006, 6:280. 3. Hublet A, De BD, Valimaa R, Godeau E, Schmid H, Rahav G, Maes L:
Smoking trends among adolescents from 1990 to 2002 in ten European
countries and Canada. BMC Public Health 2006, 6:280. The effect of the wider environment on smoking has
also been analyzed. For example, several transverse stud-
ies have shown that the percentage of smokers varies
widely among educational centers [5-7]. Furthermore, a
longitudinal study involving 166 secondary schools in
England [6] found that the school influenced the per-
centage of students that smoked, independent of the
students’ characteristics. Thus, it appears that the social
environment can explain a large part of the variability
among schools. 4. Ali SM, Chaix B, Merlo J, Rosvall M, Wamala S, Lindstrom M: Gender
differences in daily smoking prevalence in different age strata: a
population-based study in southern Sweden. Scand J Pub Health 2009,
37:146–152. 4. Ali SM, Chaix B, Merlo J, Rosvall M, Wamala S, Lindstrom M: Gender
differences in daily smoking prevalence in different age strata: a
population-based study in southern Sweden. Scand J Pub Health 2009,
37:146–152. 5. Azevedo A, Machado AP, Barros H: Tobacco smoking among Portuguese
high-school students. Bull World Health Organ 1999, 77:509–514. 5. Azevedo A, Machado AP, Barros H: Tobacco smoking among Portuguese
high-school students. Bull World Health Organ 1999, 77:509–514. 6. Aveyard P, Markham WA, Cheng KK: A methodological and substantive
review of the evidence that schools cause pupils to smoke. Soc Sci Med
2004, 58:2253–2265. 6. Aveyard P, Markham WA, Cheng KK: A methodological and substantive
review of the evidence that schools cause pupils to smoke. Soc Sci Med
2004, 58:2253–2265. 7. References Yanez AM, Lopez R, Serra-Batlles J, Roger N, Arnau A, Roura P: Smoking
among adolescents: population study on parental and school influences. Arch Bronconeumol 2006, 42:21–24. 7. Yanez AM, Lopez R, Serra-Batlles J, Roger N, Arnau A, Roura P: Smoking
among adolescents: population study on parental and school influences. Arch Bronconeumol 2006, 42:21–24. The evidence indicates that school-based preventive
programs are not effective alone, but rather should be
community-based, and should involve the classroom, the
school environment, and the community [11]. However,
few studies have rigorously analyzed the effect of such
broader interventions. Most of the existing evidence
comes from direct classroom interventions, with only
anecdotal evidence of the intervention and its effect on
individuals and the school environment [10]. Therefore,
we herein propose a multifactorial intervention aimed at
adolescents through their environment (school, teachers
and parents). We believe that modifying the students’
immediate environment could have a marked effect on
smoking rates among young people. 8. Flay BR: Understanding environmental, situational and intrapersonal risk
and protective factors for youth tobacco use: the Theory of Triadic
Influence. Nicotine Tob Res 1999, 1(Suppl 2):S111–S114. pp
9. Khuder SA, Dayal HH, Mutgi AB: Age at smoking onset and its effect on
smoking cessation. Addict Behav 1999, 24:673–677. 10. Muller-Riemenschneider F, Bockelbrink A, Reinhold T, Rasch A, Greiner W,
Willich SN: Long-term effectiveness of behavioural interventions to
prevent smoking among children and youth. Tob Control 2008,
17:301–302. 11. Ariza C, Nebot M: La prevención del tabaquismo en los jóvenes:
realidades y retos para el futuro. Adicciones 2004, 16:359–378. 12. Comin BE, Torrubia BR, Mor SJ, Villalbi H Jr, Nebot AM: The reliability of a
self-administered questionnaire for investigation of the level of exercise,
smoking habit and alcohol intake in school children. Med Clin (Barc )
1997, 108:293–298. 13. Yañez A, Leiva A, Gorreto L, Estela A, Tejera E, Torrent M: School, family and
adolescent smoking. Adicciones 2013, 25:37–44. 14. Siddiqui O, Hedeker D, Flay BR, Hu FB: Intraclass correlation estimates in a
school-based smoking prevention study. Outcome and mediating
variables, by sex and ethnicity. Am J Epidemiol 1996, 144:425–433. Competing interests
The authors declare that there is no competing interest. Limitations One of the main limitations of community studies is the
possibility of contamination, such as would occur if
teachers from neighboring schools met and compared
notes regarding the intervention and/or control programs. To avoid this type of contamination, the randomization
unit will be the municipality. Another possible limitation
is that the intervention will be carried out among students
who attend the same school. This could reduce the vari-
ability among study subjects; however, we will solve this
by using a sufficiently large sample. There may also be a Various studies have analyzed how adolescents are in-
fluenced by their immediate social contexts and socio-
cultural environments. For example, teacher behavior, the
educational center, and the attitudes of parents have all
been associated with the initiation of tobacco use [7,26]. In
addition, the prevalence of smoking among adolescents is Page 7 of 8 Page 7 of 8 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 lower when smoking is not permitted at home, especially if
there is a complete ban; interestingly, this effect is inde-
pendent of whether the parents are smokers [15]. Similarly,
a cohort study [21] found that strong parental disapproval
helped prevent smoking among adolescents, even after ad-
justment for parental smoking. These findings confirm that
parental attitudes towards smoking are more important
than the parents’ actual behavior. Similarly, the attitude
of parents towards, and emphasis on compliance with,
smoking rules at school are related to smoking by adoles-
cents [26,27]. The ITACA program is designed to reach
the family through its adolescent members. Mallorca, Spain. 5Research Group on Evidence, Lifestyles and Health,
Universitat Illes Balears, Palma, Spain. 6Instituto de Investigación Sanitaria
de Palma (IdISPa) & Research Group on Evidence, Lifestyles and Health,
Universitat Illes Balears, Mallorca, Spain. Mallorca, Spain. 5Research Group on Evidence, Lifestyles and Health,
Universitat Illes Balears, Palma, Spain. 6Instituto de Investigación Sanitaria
de Palma (IdISPa) & Research Group on Evidence, Lifestyles and Health,
Universitat Illes Balears, Mallorca, Spain. Received: 22 January 2014 Accepted: 27 March 2014
Published: 16 April 2014 Competing interests
The authors declare that there is no competing interest. 15. Nebot M, Tomas Z, Ariza C, Valmayor S, Lopez MJ, Juarez O: Factors
Associated With Smoking Onset: 3-Year Cohort Study of Schoolchildren. Arch Bronconeumol 2004, 40:495–501. 21.
Vartiainen E, Paavola M, McAlister A, Puska P: Fifteen-year follow-up of
smoking prevention effects in the North Karelia youth project. Am J
Public Health 1998, 88:81–85. Author details
1 1Primary Care Research Unit of Mallorca, Baleares Health services-IbSalut,
Mallorca, Spain. 2Dalt Sant Joan Health Centre, Baleares Health
services-IbSalut, Menorca, Spain. 3Àrea de Salut de Menorca, IB-SALUT,
Menorca, Spain. 4European Institute of Studies on Prevention (Irefrea), 21. Vartiainen E, Paavola M, McAlister A, Puska P: Fifteen-year follow-up of
smoking prevention effects in the North Karelia youth project. Am J
Public Health 1998, 88:81–85. Page 8 of 8 Page 8 of 8 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 Leiva et al. BMC Public Health 2014, 14:373
http://www.biomedcentral.com/1471-2458/14/373 22. Aveyard P, Cheng KK, Almond J, Sherratt E, Lancashire R, Lawrence T, Griffin C,
Evans O: Cluster randomised controlled trial of expert system based on the
transtheoretical (“stages of change”) model for smoking prevention and
cessation in schools. BMJ 1999, 319:948–953. 23. Ellickson PL, Bird CE, Orlando M, Klein DJ, McCaffrey DF: Social context and
adolescent health behavior: does school-level smoking prevalence affect
students’ subsequent smoking behavior? J Health Soc Behav 2003,
44:525–535. 24. Armstrong BK, de Klerk NH, Shean RE, Dunn DA, Dolin PJ: Influence of
education and advertising on the uptake of smoking by children, 19. Med J Aust 1990, 152:117–124. 25. Brown KS, Cameron R, Madill C, Payne ME, Filsinger S, Manske SR, Best JA:
Outcome evaluation of a high school smoking reduction intervention
based on extracurricular activities. Prev Med 2002, 35:506–510. 26. Wen X, Chen W, Muscat JE, Qian Z, Lu C, Zhang C, Luo Y, Liang C, Han K,
Deng X, Ou Y, Ling W: Modifiable family and school environmental
factors associated with smoking status among adolescents in
Guangzhou, China. Prev Med 2007, 45:189–197. 27. Wakefield MA, Chaloupka FJ, Kaufman NJ, Orleans CT, Barker DC, Ruel EE:
Effect of restrictions on smoking at home, at school, and in public places
on teenage smoking: cross sectional study. BMJ 2000, 321:333–337. doi:10.1186/1471-2458-14-373
Cite this article as: Leiva et al.: Effectiveness of a complex intervention in
reducing the prevalence of smoking among adolescents: study design of a
cluster-randomized controlled trial. BMC Public Health 2014 14:373. Submit your next manuscript to BioMed Central
and take full advantage of:
• Convenient online submission
• Thorough peer review
• No space constraints or color figure charges
• Immediate publication on acceptance
• Inclusion in PubMed, CAS, Scopus and Google Scholar
• Research which is freely available for redistribution
Submit your manuscript at
www.biomedcentral.com/submit Submit your next manuscript to BioMed Central
and take full advantage of:
• Convenient online submission
• Thorough peer review
• No space constraints or color figure charges
• Immediate publication on acceptance
• Inclusion in PubMed, CAS, Scopus and Google Scholar
• Research which is freely available for redistribution
Submit your manuscript at
www.biomedcentral.com/submit
|
https://openalex.org/W4385381894
|
https://bmcvetres.biomedcentral.com/counter/pdf/10.1186/s12917-023-03662-9
|
English
| null |
Blood metabolomics reveals the therapeutic effect of Pueraria polysaccharide on calf diarrhea
|
BMC veterinary research
| 2,023
|
cc-by
| 8,804
|
© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco
mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Abstract Background Neonatal calf diarrhea (NCD) is typically treated with antibiotics, while long-term application of antibi‑
otics induces drug resistance and antibiotic residues, ultimately decreasing feed efficiency. Pueraria polysaccharide
(PPL) is a versatile antimicrobial, immunomodulatory, and antioxidative compound. This study aimed to compare
the therapeutic efficacy of different doses of PPL (0.2, 0.4, 0.8 g/kg body weight (BW)) and explore the effect of plasma
metabolites in diarrheal calves by the best dose of PPL. Results PPL could effectively improve the daily weight gain, fecal score, and dehydration score, and the dosage
of 0.4 g/kg BW could reach curative efficacy against calf diarrhea (with effective rates 100.00%). Metabolomic analy‑
sis suggested that diarrhea mainly affect the levels of taurocholate, DL-lactate, LysoPCs, and intestinal flora-related
metabolites, trimethylamine N-oxide; however, PPL improved liver function and intestinal barrier integrity by modu‑
lating the levels of DL-lactate, LysoPC (18:0/0:0) and bilirubin, which eventually attenuated neonatal calf diarrhea. It
also suggested that the therapeutic effect of PPL is related to those differential metabolites in diarrheal calves. Conclusions The results showed that 0.4 g/kg BW PPL could restore the clinical score of diarrhea calves by improving
the blood indexes, biochemical indexes, and blood metabolites. And it is a potential medicine for the treatment of calf
diarrhea. Keywords Pueraria polysaccharide, Calf diarrhea, Therapeutic efficacy, Metabolomic BMC Veterinary Research BMC Veterinary Research Shen et al. BMC Veterinary Research (2023) 19:98
https://doi.org/10.1186/s12917-023-03662-9 BMC Veterinary Research Open Access Blood metabolomics reveals the therapeutic
effect of Pueraria polysaccharide on calf
diarrhea Liuhong Shen1†, Yu Shen1†, Liuchao You1, Yue Zhang1,2, Zhetong Su2, Guangneng Peng1, Jun‑liang Deng1,
Zhijun Zhong1, Shumin Yu1, Xiaolan Zong1, Xiaofeng Wu1, Yingkun Zhu3* and Suizhong Cao1* Background Neonatal calf diarrhea (NCD) is a common disease of
calves within four weeks old; the morbidity and mortal-
ity were about 55% and 15%, respectively [1]. NCD usu-
ally was caused by the interaction of environments (poor
hygiene and high density), infectious factors (viruses,
bacteria, parasites) [2], or non-infectious factors (stress,
poor management) [3]. NCD is non-seasonal and prev-
alent worldwide, with primary symptoms including
anorexia, elevated body temperature, depression, and
diarrhea [4], affecting pastures’ economic benefits. Anti-
biotics are often used to treat or prevent diarrhea in
ruminants that are known to cause antibiotic-resistant †Liuhong Shen and Yu Shen contributed equally to this work. †Liuhong Shen and Yu Shen contributed equally to this work. 1 The Key Laboratory of Animal Disease and Human Health of Sichuan
Province, The Medical Research Center for Cow Disease, College
of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130,
Sichuan, China 2 Guangxi Innovates Medical Technology Co., Ltd. Lipu, Guangxi 546600,
China 3 School of Agriculture & Food Science, University College Dublin, Belfield,
Dublin D04 V1W8, Ireland © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco
mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Serum collection for biochemical indexes detection PPL with 50.00% purity and average molecular weight
(Mw) of 1.09 × 105 Da [16], supplied by Guangxi Innovate
Pharmaceutical Co., Ltd. Similarly, selected the venous blood of the optimal dose
group of PPL and control group on D0, D3, D5, and
D7 and centrifuged at 3000 r/min for 5 min to obtain
the serum and stored at -20℃ for further biochemical
indexes detection. Blood samples were collected via the
jugular vein using the non-anticoagulation tube. Open Access T
d
d Shen et al. BMC Veterinary Research (2023) 19:98 Page 2 of 12 bacteria [5]. Therefore, it is necessary to exploit natural
agents for NCD management. bacteria [5]. Therefore, it is necessary to exploit natural
agents for NCD management. receive any other medications during the treatment with
PPL. After the experiment, the animals returned to the
herd for feeding. Bioactive compounds in plant extracts performed
increasing importance in medicine development [6]. Pueraria lobata, which spreads widely in China, Japan,
and Korea, has been used for thousands of years as medi-
cine, fodder, and food. Polysaccharides and flavonoids are
the main bioactive components of Pueraria lobata [7]. Polysaccharides like chitosan have been proven can effec-
tively treat diarrhea [8]; furthermore, Panax ginseng pol-
ysaccharides [9] and red algae polysaccharides [10] have
been used to alleviate diarrhea in various animal models. Pueraria polysaccharide (PPL), a compound of Pueraria
lobata, has versatile bioactivities like antimicrobial [11],
immunomodulatory [12], and antioxidant [13], and it can
recover the expression and structure of tight junction
protein of intestine, alleviating dextran sodium sulfate-
induced colitis in mice [14]. It can also increase the ben-
eficial bacteria and improve intestinal flora structure in
antibiotic-induced diarrheal mice [15]. However, there is
a lack of research focused on the therapeutic efficiency of
PPL on newborn calf diarrhea.hf Drug administrationh The day of enrollment was defined as D0. Thirty-six
diarrheal calves were randomly divided into 3 groups
(n = 12). The dose of each group was 0.2 g/kg, 0.4 g/kg,
and 0.8 g/kg BW (dissolved in 100 mL 37℃ water) as low
dose group, medium-dose group, and high-dose group,
respectively. Administrate Pueraria polysaccharide Q.D
P.O for five consecutive days. NCD was considered to
end when their fecal score was ≤ 1 for two consecutive
days. The whole experimental period was seven days. Therapeutic efficacies observation During the experimental period (D0-D7), weighed calves
before administration and calculated the daily weight
gains, observed and recorded the mental status [18],
dehydration status [19], and fecal status [17] (the crite-
ria of these status scores were present in Table 1), heart
ratio, respiratory ratio, and body temperature of calves,
during this period, calculated the therapeutic effects and
ascertain the optimal dosage. This study investigated the therapeutic effect of PPL
against calf diarrhea and determined the optimal dos-
age. Besides, very few studies have explored metabolomic
profiling in the PPL treatment of neonatal calf diarrhea. In this study, we conducted comprehensive metabo-
lomics profiling of plasma from diarrheal calves before
and after treatment with PPL using liquid chromatogra-
phy (LC)-TOF–MS. Animalsh The study was conducted on an intensively managed
dairy farm in Sichuan, China. Dairy calves were offered
4 L colostrum within two h after birth, then housed indi-
vidually with bedding material to avoid physical contact
with each other. After the first day of life, the calves were
fed milk from a bucket twice a day at 8:00 and 16:00, with
free access to concentrate and water for the next seven
days. Blood collection for complete blood count At the same time, the venous blood of the optimal dose
group of PPL and control group were selected on D0, D3,
D5, and D7 for complete blood count (CBC). Blood sam-
ples were collected via the jugular vein using the EDTA
anticoagulation tube. Preparation of plasma samples for metabolomic analysis Preparation of plasma samples for metabolomic analysis
Blood samples of healthy calves in the control group
on D5 were collected and centrifuged at 3000r/min
for 5 min to obtain the plasma and noted as group HS. Besides, the plasma collected from calves in optimal dos-
age groups on D0 and D7 was noted as group DS and TS,
respectively. Blood samples were collected via the jugular
vein using the EDTA anticoagulation tube. All the plasma
was stored at -80℃ for further metabolomic analysis and
comparison. The 3 sets of samples were mixed in equal
amounts to prepare quality control (QC) samples, and
7 replicates were set up to evaluate system stability over
the entire experiment before testing. The samples were Thirty-six naturally infected Chinese Holstein dairy
calves with typical diarrheal symptoms, and 12 healthy
calves were selected from a unified pasture in Sichuan,
China (calves with 5–7-day ages and 45–55 kg weights). The enrollment criteria for diarrheal calves were as fol-
lows: (1) calves with fecal scores > 2, (2) calves aged
1–30 days [17]. The calves enrolled in this study did not Shen et al. BMC Veterinary Research (2023) 19:98 Page 3 of 12 Table 1 The scoring criteria of clinical examination
Items
Scoring Basis
Scores
Fecal status
Feces with normal shape and consistency
0
Semi-formed or pasty feces
1
Feces are not formed but can adhere to ground or bedding
2
Watery feces
3
Mental status
Normal, respond quickly to external stimuli and vigorously
0
Mild depressive retains sucking reflex without vitality
1
Moderate depressive, stand after stimulation with a weak or irregular sucking reflex
2
Severe depressive, unable to stand or without sucking reflex
3
Dehydration status
The hydration state is normal, tent test time of upper eyelid skin < 2 s
0
Eyeball slightly sunken, tent test time of upper eyelid skin is > 2 s but < 4 s
1
Sunken eyeball, dry nose, tent test time of upper eyelid skin > 5 s
2
Severe sunken eyeball, cold ears, limbs and mouth, dry nose
3 ion peak data for which > 50% of the missing data within
a group were deleted. After the data had been pre-pro-
cessed by pareto-scaling, pattern recognition was per-
formed using SIMCA-P software (version 14.1, Umetrics,
Umea, Sweden), consisting of supervised orthogonal
partial least squares discriminant analysis (OPLS-DA). Preparation of plasma samples for metabolomic analysis The variable importance in the projection (VIP) value of
each variable in the OPLS-DA model was calculated to
indicate its contribution to the classification. Metabolites
with the VIP value > 1 were further applied to Student’s
t-test at the univariate level to measure the significance
of each metabolite. The P-values less than 0.1 were con-
sidered statistically significant [22]. Compound iden-
tification of metabolites was performed by comparing
accuracy m/z value (< 25 ppm) and MS/MS spectra with
an in-house database established with available authentic
standards. Random forest analysis, enrichment pathway
analysis, and pathway impact analysis of metabolites that
differed among groups were performed using Metabo-
Analyst 5.0 (https://www.metaboanalyst.ca/) and Kyoto
Encyclopedia of Genes and Genomes (KEGG, https://
www.kegg.jp/kegg/). sent to Shanghai Applied Protein Technology Co., Ltd. (Shanghai, China) for liquid chromatography-tandem
mass spectrometry (MS/MS) analysis. Metabolomics analysis of blood samplesh The samples were separated by UHPLC (1290 infinite LC,
Agilent Technologies) HILIC column with 25℃ column
temperature and 0.3 mL/min velocity. The mobile phase
was A: 25 mM ammonium acetate and 25 mM ammo-
nia in water, B: acetonitrile. The gradient was 85% B for
1 min, linearly reduced to 65% in 11 min, then reduced
to 40% in 0.1 min and kept for 4 min, and then increased
to 85% in 0.1 min, with a 5 min re-equilibration period
employed. p y
After detection, the AB triple TOF 6600 mass spec-
trometer was used to obtain the samples’ primary and
secondary spectra. The ESI source conditions after
HILIC chromatographic separation were as follows,
Ion Source Gas1: 60, Ion Source Gas2: 60, Curtain gas:
30, source temperature: 600 ℃, Ion Spray Voltage Float-
ing ± 5500 V, TOM MS scan m/z range: 60–1000 Da,
product ion scan m/z range: 25–1000 Da, TOF MS scan
accumulation time 0.20 s/spectra, product ion scan
accumulation time: 0.05 s/spectra, the secondary mass
spectrum was obtained by information-dependent acqui-
sition (IDA) with high sensitivity mode selected, declus-
tering potential (DP): ± 60 V, collision energy was fixed
at 35 V ± 15 eV, IDA was set as follows: exclude isotopes
within 4 Da, Candidate ions to monitor per cycle: 10. Software of SPSS 19.0 was applied to check whether
the data conform to the normal distribution, all meas-
urement data were expressed by means ± SEM, one-way
ANOVA analysis of Variance was used for compari-
son between groups, and P < 0.05 indicated a significant
difference. The effects of Pueraria polysaccharide on the scores
of clinical symptoms Similarly, we investigated the effects of the optimal dose
of PPL on the biochemical blood indexes of diarrheal
calves, and the results were present in Fig. 2. The levels of
total protein (TP), globulin (GLOB), alkaline phosphatase
(ALP) of diarrheal calves were significantly higher than
the control group. The level of glucose (GLU) of diarrheal
calves was significantly lower than the control group
(P < 0.05), while all these indexes recovered to normal
levels after treatment (P > 0.05), there were no signifi-
cant differences of the albumin (ALB), blood urea nitro-
gen (BUN), creatinine (CREA), alanine aminotransferase
(ALT) between medium-dose group and control groups. As shown in Table 3, the fecal scores and dehydration
scores of diarrheal calves were significantly higher than
group C (P < 0.05), while after PPL treatment. The men-
tal scores in the medium dose group on D0 were signifi-
cantly higher than in other groups. After PPL treatment,
mental and dehydration scores showed a decreasing
trend and no significant differences with other groups on
D7 (P > 0.05). The effects of Pueraria polysaccharide on the basic
physiological indexes The raw data were converted into mzXML format by Pro-
teo Wizard [20], and then the XCMS program was used
for peak alignment, retention time correction, and peak
area extraction [21]. For the data extracted using XCMS, As shown in Table 2, when diarrhea occurred, the daily
gains of diarrheal calves decreased (P < 0.05), while after
PPL treatment, the daily gains of all dose groups showed Shen et al. BMC Veterinary Research (2023) 19:98 Page 4 of 12 Table 2 Effects of PPL on basic physiological indexes
For each indicator, different superscripted letters represent significant differences between different groups at thesame time point (P < 0.05), while different
subscripted letters represent significant differences with in one groupbetween different time points (P < 0.05)
Items
Treatment
Group
SEM
Low dose
Medium dose
High dose
Control
Daily gain
D1
0.33e
b
0.32d
b
0.32e
b
0.84a
0.027
D2
0.47d
b
0.50c
b
0.50d
b
0.87a
0.031
D3
0.51d
c
0.63b
b
0.64c
b
0.86a
0.022
D4
0.55c,d
c
0.65b
b
0.69b,c
b
0.86a
0.019
D5
0.62b,c
c
0.71a,b
b
0.70b,c
b
0.82a
0.021
D6
0.64a,b
c
0.76a
b
0.75a,b
b
0.84a
0.024
D7
0.71a
b
0.79a
a,b
0.80a
a,b
0.85a
0.030
P (dose)
< 0.001
P (time)
< 0.001
P (dose × time)
< 0.001 Table 2 Effects of PPL on basic physiological indexes For each indicator, different superscripted letters represent significant differences between different groups at thesame time point (P < 0.05), while different
subscripted letters represent significant differences with in one groupbetween different time points (P < 0.05) For each indicator, different superscripted letters represent significant differences between different groups at thesame time point (P < 0
subscripted letters represent significant differences with in one groupbetween different time points (P < 0.05) the control group (P > 0.05). In contrast, there were no
significant differences in red blood cell (RBC), lympho-
cyte counts (LYMPH), monocyte count (MONO), eosin-
ophil (ESO), or basophil (BASO) with the control group
(P > 0.05) on D0-D7. an increasing trend and showed no significant differences
(P > 0.05) with control group except for low dose group
on D7, suggesting a dose–effect relationship. As shown
in Table S1, the body temperatures, respiratory rates, and
heart rates of diarrheal calves were no different from the
control group (P > 0.05), and the PPL treatment showed
no significant effect on those indexes (P > 0.05). UHPLC‑Q‑TOF–MS method of validation As shown in Table 4, the effective rate (The ratio of cured
calves to the total number of diarrhea calves within seven
days) of the medium dose group was the highest among
the three treatment groups, thus ascertaining 0.4 g/
kg BW (medium dose) as optimal dosage against calf
diarrhea. We compared the total ion chromatograms (TIC) of 7
samples in positive or negative ion modes, including
the retention time, peak, intensity, and degree of sep-
aration. Overlap of the TIC of QC samples was good,
indicating that the method used was robust, with high
repeatability and stability. The sample TIC showed that
the peak shape was intact and that adjacent peaks were
well separated, indicating that the chromatographic
and mass spectrometric conditions were suitable for
sample identification (Fig S1). The smaller the relative
standard deviation (RSD) of the ion peak abundance of
QC samples is, the better the stability of the instrument
is, which is an important index to reflect the quality of The effects of Pueraria polysaccharide on the CBChf In this experiment, the number of RSD ≤ 30%
Peak in QC samples accounts for more than 80% of the
total Peak number of QC samples, as shown in Fig S2,
indicating that the stability of the instrument analysis
system is good, and the data can be used for follow-up
analysis. Identification of differential metabolites
Potential biomarkers were analyzed using the multivar-
iate analysis of OPLS-DA. Each point on the OPLS-DA
score map represented a sample, and the position of
each sample was determined by the type and content of
its metabolites (Table S2). Compounds with a VIP > 1,
Table 4 The therapeutic effects of Pueraria polysaccharide on diarrheal calves
Items
Low dose group
Medium dose group
High dose group
Cured number within 7 days
8
12
11
Effective rate (%)
75.00%
100.00%
91.67% Table 4 The therapeutic effects of Pueraria polysaccharide on diarrheal calves Identification of differential metabolites The effects of Pueraria polysaccharide on the CBChf The effects of the optimal dose of PPL on the CBC of
diarrheal calves, as shown in Fig. 1, the white blood
cell (WBC), neutrophil count (NEUT), and hematocrit
(HCT) of diarrheal calves were significantly higher than
the control group on D0 and showed decreasing trends
after treatment. There was no significant difference with Shen et al. BMC Veterinary Research (2023) 19:98 Page 5 of 12 Table 3 Effects of PPL on scores of clinical symptoms
For each indicator, different superscripted letters represent significant differences between different groups at the same time point (P < 0.05), while different
subscripted letters represent significant differences with in one group between different time points (P < 0.05)
Items
Treatment
Group
SEM
Low dose
Medium dose
High dose
Control
Fecal scores
D0
2.17a
a
2.33a
a
2.08a
a
0.00b
0.114
D1
1.33b,c
a
1.58b
a
1.50b
a
0.25b
0.165
D2
1.42b
a
1.25b,c
a
1.08b,c
a
0.08b
0.139
D3
1.08b,c
a
1.08b
a
1.33b
a
0.17b
0.169
D4
1.17b,c
a
1.00b
a
1.00b,c
a
0.17b
0.211
D5
1.25b,c
a
1.00b
a
1.17b
a
0.08b
0.209
D6
0.75b,c
a
0.42c
a,b
0.58c,d
a
0.00b
0.148
D7
0.58c
a
0.25c
a,b
0.33d
a,b
0.08b
0.165
P (dose)
< 0.001
P (time)
< 0.001
P (dose × time)
< 0.001
Dehydration scores
D0
1.17a
a
1.25a
a
1.25a
a
0.00b
0.093
D1
0.42b
a
0.50b
a
0.58b
a
0.00b
0.112
D2
0.25b
0.25b,c
0.17c
0.00
0.093
D3
0.33b
0.08c
0.09c
0.00
0.089
D4
0.30b
0.00c
0.00c
0.00
0.036
D5
0.38b
a
0.00c
b
0.00c
b
0.00b
0.058
D6
0.25b
0.00c
0.00c
0.00
0.045
D7
0.17b
0.00c
0.00c
0.00
0.042
P (dose)
< 0.001
P (time)
< 0.001
P (dose × time)
< 0.001
Mental scores
D0
0.25a
0.58a
b
0.17a
0.00a
0.109
D1
0.25
0.17b
0.25
0.00
0.093
D2
0.08
0.17b
0.17
0.00
0.077
D3
0.08
0.17b
0.25
0.00
0.082
D4
0.33a
0.00b
b
0.08b
0.00b
0.056
D5
0.17
0.17b
0.25
0.00
0.089
D6
0.08
0.08b
0.17
0.00
0.070
D7
0.08
0.08b
0.17
0.00
0.070
P (dose)
0.250
P (time)
0.0002
P (dose × time)
0.338 SEM For each indicator, different superscripted letters represent significant differences between different groups at the same time point (P < 0.05), while different
subscripted letters represent significant differences with in one group between different time points (P < 0.05) the data. Identification of differential metabolites the data. In this experiment, the number of RSD ≤ 30%
Peak in QC samples accounts for more than 80% of the
total Peak number of QC samples, as shown in Fig S2,
indicating that the stability of the instrument analysis
system is good, and the data can be used for follow-up
analysis. Potential biomarkers were analyzed using the multivar-
iate analysis of OPLS-DA. Each point on the OPLS-DA
score map represented a sample, and the position of
each sample was determined by the type and content of
its metabolites (Table S2). Compounds with a VIP > 1, Shen et al. BMC Veterinary Research (2023) 19:98 Page 6 of 12
Shen et al. BMC Veterinary Research (2023) 19:98
Fig. 1 The effects of PPL on the CBC. Green box stands for control group; pink box stands for treatment group. D0 means the results of diarrheal
calves before treatment with PPL. * P < 0.05, ** P < 0.01, ns = no significant
Fig. 2 The effects of PPL on the serum biochemical indexes. Green box stands for control group; pink box stands for treatment group. D0 means
the results of diarrheal calves before treatment with PPL. * P < 0.05, ** P < 0.01, ns = no significant Page 6 of 12 Fig. 1 The effects of PPL on the CBC. Green box stands for control group; pink box stands for treatment group. D0 means the results of diarrheal
calves before treatment with PPL. * P < 0.05, ** P < 0.01, ns = no significant Fig. 1 The effects of PPL on the CBC. Green box stands for control group; pink box stands for treatment group. D0 means the results of diarrheal
calves before treatment with PPL. * P < 0.05, ** P < 0.01, ns = no significant Fig. 1 The effects of PPL on the CBC. Green box stands for control group; pink box stands for treatment group. D0 means the results of diarrheal
calves before treatment with PPL. * P < 0.05, ** P < 0.01, ns = no significant ig. 1 The effects of PPL on the CBC. Green box stands for control group; pink box stands for treatment group. D0 means the r
alves before treatment with PPL. * P < 0.05, ** P < 0.01, ns = no significant Fig. 2 The effects of PPL on the serum biochemical indexes. Identification of differential metabolites Green box stands for control group; pink box stands for treatment group. D0 means
the results of diarrheal calves before treatment with PPL. * P < 0.05, ** P < 0.01, ns = no significant Fig. 2 The effects of PPL on the serum biochemical indexes. Green box stands for control group; pink box stands for treatment group. D0 means
the results of diarrheal calves before treatment with PPL. * P < 0.05, ** P < 0.01, ns = no significant differential plasma metabolites were shown by the FC
barplot (Fig. 4). fold change (FC) > 1, or < 1, and an independent t-test
with P < 0.1 were initially screened as potential differ-
ential metabolites. The score plots of OPLS-DA and
permutation tests shown in Fig. 3 indicated that the
plasma metabolic profile of diarrheal calves was differ-
ent from the control group, and there were also altera-
tions of the metabolites profile in diarrheal calves after
treatment with PPL. The intercepts of Q2 were < 0, indi-
cating no overfittings of the model, and the differential
metabolites can be identified according to it. There was
a total of 22 differential metabolites identified between
diarrheal calves and healthy calves (Table S3), with
14 metabolites found to increase and 8 observed to
decrease. Similarly, 45 metabolites were found to sig-
nificantly differ between PPL-treated calves and diar-
rheal calves (Table S4), with 38 metabolites found to
increase and 7 observed to decrease. To compare the
change of differential metabolites in each group, the The change of key metabolites induced by PPL on diarrheal
calves To further investigate the potential information of dif-
ferential metabolites, the random forest supervised
machine learning algorithm showed that 15 prominent
metabolites contributed to the discrimination power
of calf health status, including trimethylamine N-oxide
(TMAO) and taurocholate; and 15 prominent metabo-
lites related to the therapy of PPL, including bilirubin
and LysoPC (18:0/0:0) (Fig. 5A, B). The relative rank of
the relative abundance of metabolites biomarkers was
plotted against the effect by the score of Mean Decrease
Accuracy. Then the correlation analysis of significantly
altered metabolites with CBC and serum biochemis-
try indexes was further revealed. As shown in Fig. 5, Shen et al. BMC Veterinary Research (2023) 19:98 Page 7 of 12 Fig. 3 The scores plot of OPLS-DA and permutation tests. A, (E) and (C), (G) Orthogonal partial least square discriminant analysis (OPLS-DA)
of scores and permutation test plots for the DS vs HS and TS vs DS samples analyzed in the positive ion mode, respectively. (B), F and (D), (H)
Orthogonal partial least square discriminant analysis of scores and permutation test plots for the DS vs HS and TS vs DS samples analyzed
in the negative ion mode, respectively. T [1] = first principal component. To [1] = second orthogonal component. The intercept limit of Q2,
calculated by regression line, is the plot of Q.2 from permutation test in the OPLS-DA model. HS = healthy calf plasma sample; DS = diarrheal calf
plasma sample on D0; TS = PLP treatment diarrheal calf plasma sample on D5 Orthogonal partial least square discriminant analysis (OPLS-DA Fig. 3 The scores plot of OPLS-DA and permutation tests. A, (E) and (C), (G) Orthogonal partial least square discriminant analysis (OPLS-DA)
of scores and permutation test plots for the DS vs HS and TS vs DS samples analyzed in the positive ion mode, respectively. (B), F and (D), (H)
Orthogonal partial least square discriminant analysis of scores and permutation test plots for the DS vs HS and TS vs DS samples analyzed
in the negative ion mode, respectively. T [1] = first principal component. To [1] = second orthogonal component. The intercept limit of Q2,
calculated by regression line, is the plot of Q.2 from permutation test in the OPLS-DA model. HS = healthy calf plasma sample; DS = diarrheal calf
plasma sample on D0; TS = PLP treatment diarrheal calf plasma sample on D5 Fig. Global metabolic pathways of metabolites [26]. After PPL administration, serum ALP showed a
decreasing trend, indicating that PPL can promote intes-
tinal integrity recovery. Globulin, an important compo-
nent of the inflammatory microenvironment, is closely
related to inflammatory status [27]. The recovery of
globulin after PPL treatment also suggested the recov-
ery of inflammatory and infectious status in diarrheal
calves. After PPL treatment, serum glucose increased
and exhibited no significant difference with the control
group (P > 0.05) in diarrheal calves, demonstrating that
PPL could recover the nutrition absorption and energy
metabolism of diarrheal calves. Due to the limitation of
the experimental conditions, the dehydration and ion dis-
turbance of diarrhea calves were not analyzed in detail. Further study is needed. [26]. After PPL administration, serum ALP showed a
decreasing trend, indicating that PPL can promote intes-
tinal integrity recovery. Globulin, an important compo-
nent of the inflammatory microenvironment, is closely
related to inflammatory status [27]. The recovery of
globulin after PPL treatment also suggested the recov-
ery of inflammatory and infectious status in diarrheal
calves. After PPL treatment, serum glucose increased
and exhibited no significant difference with the control
group (P > 0.05) in diarrheal calves, demonstrating that
PPL could recover the nutrition absorption and energy
metabolism of diarrheal calves. Due to the limitation of
the experimental conditions, the dehydration and ion dis-
turbance of diarrhea calves were not analyzed in detail. Further study is needed. Sketched the global metabolic pathways by the com-
bination of KEGG pathway information. As shown in
Fig. 6, the key metabolites mentioned above were mainly
involved in 2 metabolic pathways, glycerol phospholipid
choline metabolism and primary bile acid synthesis. The change of key metabolites induced by PPL on diarrheal
calves 4 The FC barplot of differential metabolites in each group. A, B are the FC barplot of differential metabolites of DS vs HS, TS vs DS; red means
up-regulation, blue means down-regulation Shen et al. BMC Veterinary Research (2023) 19:98 Page 8 of 12 Fig. 5 Potential information of differential metabolites. A, B the random forest supervised machine learning algorithm; C-F the correlation analysis
of significantly altered metabolites with CBC and serum biochemistry indexes; G change of the DL-lactate concentration. ‘*’ indicates significant
difference (P < 0.005). The red color and green color stand for different group, respectively Fig. 5 Potential information of differential metabolites. A, B the random forest supervised machine learning algorithm; C-F the correlation analysis
of significantly altered metabolites with CBC and serum biochemistry indexes; G change of the DL-lactate concentration. ‘*’ indicates significant ff Fig. 5 Potential information of differential metabolites. A, B the random forest supervised machine learning algorithm; C-F the correlation analysis
of significantly altered metabolites with CBC and serum biochemistry indexes; G change of the DL-lactate concentration. ‘*’ indicates significant
difference (P < 0.005). The red color and green color stand for different group, respectively positively correlated with NEUT (r = 0.71, P < 0.001)
and WBC (r = 0.64, P < 0.001). Notably, GLU was closely
associated with DL-lactate (r = -0.54, P < 0.01) and
stearidonic acid (r = 0.63, P < 0.01) after PPL treatment. It should be noted that the concentration of DL-lactate
was altered in diarrheal calves before and after being
treated with PPL(Fig. 5G). Our findings suggested that
PPL administration could ameliorate diarrhea by mod-
ulating key plasma metabolites in diarrheal calves. spearman rank correlation analysis indicated a strong
positive correlation between TMAO and ALP (r = 0.64,
P < 0.001), GLOB (r = 0.57, P < 0.01), TP (r = 0.55,
P < 0.01), WBC (r = 0.52, P < 0.01) and NEUT (r = 0.65,
P < 0.001) in the diarrheal calves. After being treated
with PPL, bilirubin was positively correlated with ALP
(r = 0.56, P < 0.01), WBC (r = 0.61, P < 0.01) and NEUT
(r = 0.57, P < 0.01); similarly, LysoPC (18:0/0:0) was Shen et al. BMC Veterinary Research (2023) 19:98 Page 9 of 12 Discussion Apart from diluted soft faces, calf diarrhea also showed
symptoms, including dehydration, weight loss, anorexia,
and mental depression. Besides, diarrheal calves usually
exhibited changes in complete blood count indexes and
biochemical indexes [23]. In this study, PPL can allevi-
ate the daily weight gain, fecal score, dehydration score,
and mental score of diarrheal calves and reach curative
efficacy (with a 75% cure rate). As signs of infection,
the increased WBC and NEUT in diarrheal calves was
coincided with another research about diarrheal calves
[24], while after treatment of PPL, the WBC and NEUT
returned and showed no significant difference with the
control group (P > 0.05), indicating the amelioration of
infectious and inflammatory degrees of diarrheal calves. Serum biochemical parameters are important indexes
that reflect the health status of animals [25]. In the study,
diarrheal calves showed increased serum ALP, globulin
and decreased glucose. ALP was a marker of intestinal
injury and increased obviously when intestinal damage As well known, diarrhea was an important factor lead-
ing to intestinal microbial imbalance [28]. Gut micro-
bial dysbiosis can increase TMAO concentrations [29]. TMAO is the metabolite of choline and phosphatidyl-
choline from gut microbiota and hepatic flavin monooxy-
genases [30]. And in this study, the positive correlation
between TMAO and ALP also indicated that diarrhea-
induced intestinal damage in neonatal calves. We also
found the level of taurocholate was decreased in diar-
rheal calves. The primary bile acid synthesis pathway, in
which taurocholate takes part, is also downregulated. Bile
acids secreted into the small intestinal are conjugated to Fig. 6 The global metabolic pathway of metabolites. The trisection rectangle represents the differential metabolites; the box on the top is DS vs
HS group, and the box at the bottom is DS vs TS group; green represents downregulation, white represents no significant difference, red represents
upregulation Fig. 6 The global metabolic pathway of metabolites. The trisection rectangle represents the differential metabolites; the box on the top is DS vs
HS group, and the box at the bottom is DS vs TS group; green represents downregulation, white represents no significant difference, red represents
upregulation Shen et al. BMC Veterinary Research (2023) 19:98 Page 10 of 12 Page 10 of 12 of the LysoPC family members, including LysoPC 16:0,
LysoPC 18:0, and LysoPC 18:1(9Z), increased in diar-
rheal calves. Discussion LysoPCs were regarded as proinflammatory
mediators, LysoPC 18:0 can induce the initiation of neu-
trophils [42], and stimulate the adhesion of eosinophils
[43]. Diarrheal symptoms are usually related to systemic
inflammatory responses, such as abnormal blood rou-
tine changes and biochemistry parameters [44], which
could explain the increase of WBC and NEUT in diar-
rheal calves. Simultaneously, the down-regulation of
LysoPC (18:0/0:0) also suggested that PPL attenuated
system inflammatory response in diarrhea calves. We
also found that the level of LysoPE (16:0) was increased
in treated calves. The study indicated that LysoPE levels
were reduced in the liver of mice with liver damage [45]. We speculated that the liver is a possible source of lipid
perturbations in calves with diarrhea, which the follow-
ing experiment could explore. taurine to form taurocholate [31]. Intestinal floras can
modify the conjugated amino acids by secreting bile salt
hydrolases [32]. Moreover, calves that suffer from diar-
rhea usually have weakened bile acid hepatointestinal
circulation [33], which causes primary bile acid synthesis
downregulation. Hence, we speculated that the down-
regulation of taurocholate might relate to the increas-
ing concentration of bile salt hydrolases, which reflected
the intestinal flora disturbance, but more research was
needed. Usually, maintaining normal intestinal function archi-
tecture and functioning is essential for alleviating diar-
rhea. Our study noticed that PPL decreased the fecal
score, which might be related to the DL-lactate change. The increases in the serum D-lactate have been reported
to correlate with the extent of intestinal barrier dysfunc-
tion and diarrhea [34, 35]. D-lactate is produced only by
colonic bacteria as a normal byproduct of bacterial fer-
mentation. As the normal mucosal barrier is damaged
and permeability increases, a large amount of D-lactate
is released through the damaged intestinal mucosa into
the peripheral blood, leading to increased blood levels of
D-lactate. Because the liver cannot metabolize D-lactate,
a rise in the serum concentration occurs [36]. Consist-
ent with these findings, we noted a decrease in the serum
DL-lactate contents following PPL treatment. However, it
is a pity that our technology can only detect DL-lactate
and cannot accurately distinguish its chiral structure, so
subsequent experiments need specific detection of lac-
tate to verify the experimental results. Conclusionh The PPL showed a significant effect on calf diarrhea,
and it can reach optimal therapeutic efficacy with a dose
of 0.4 mg/kg/day. Diarrhea was associated with meta-
bolic disorders in neonatal calves. Specifically, we found
associations of diarrhea with shifts in taurocholate, DL-
lactate, LysoPCs and intestinal flora-related metabolites,
TMAO; while PPL improved liver function and intestinal
barrier integrity by modulating the levels of DL-lactate,
LysoPC (18:0/0:0) and bilirubin, which eventually amelio-
rated neonatal calf diarrhea. The only catch: the effects of
PPL on the phenotype index of diarrheal calves, such as
inflammatory factors, need further investigation. Studies showed that diarrhea is usually followed by
a negative energy balance [37]. Negative energy bal-
ance is characterized biochemically by the reduction in
GLU concentrations [38]. Concurrently, we found DL-
lactate was negatively correlated with GLU, then gradu-
ally recovered after PPL was treated. It may be due to
the anorexia of diarrhea calves, resulting in poor nutri-
tion absorption. However, PPL can improve the appetite
of diarrhea calves by restoring their symptoms. The level
of GLU was decreased in diarrheal calves. Increases in
ALP and bilirubin levels were thought to be liver dam-
age developed in calves with diarrhea [39]. Similarly, in
this study, the levels of bilirubin and ALP were down-
regulated after PPL was treated. Therefore, we speculated
that PPL could attenuate calf diarrhea by improving liver
function. Abbreviation
NCD
Neonatal calf diarrhea
PPL
Pueraria polysaccharide
CBC
Complete blood count
TOF/MS
Time-of-flight/ mass spectrometer
IDA
Information-dependent acquisition
OPLS-DA
Orthogonal partial least squares-discrimination analysis
VIP
Variable importance in the projection
WBC
White blood cell
NEUT
Neutrophil count
HCT
Hematocrit
RBC
Red blood cell
LYMPH
Lymphocyte counts
MONO
Monocyte count
ESO
Eosinophil
BASO
Basophil
TP
Total protein
GLOB
Globulin
ALP
Alkaline phosphatase
GLU
Glucose
ALB
Albumin
BUN
Blood urea nitrogen
CREA
Creatinine
ALT
Alanine aminotransferase
TIC
Total ion chromatograms
RSD
Standard deviation In addition to damaging the intestinal integrity and
liver function in neonatal calves, the induction of diar-
rhea triggers the inflammation response in the calf with
diarrhea. LysoPC is generated by the enzyme phospho-
lipase A2, which hydrolyses phosphatidylcholine at the
sn-2 position [40], and participates in the component
of biological membranes in animal cells [41]. The levels Page 11 of 12 Shen et al. BMC Veterinary Research (2023) 19:98 Shen et al. BMC Veterinary Research FC
Fold change
TMAO
Trimethylamine N-oxide 4. Hart BL. Acknowledgements We thank Shanghai Applied Protein Technology Co. Ltd. (Shanghai, China) for
UHPLCTOF/MS analysis. 11. Ekachai C. Antimicrobial property and antioxidant composition of crude
extracts of Pueraria mirifica, Butea superba and Mucuna macrocarpa. Maejo Int J Sci Tech. 2009;3(1):212–21. Consent for publication 19. Boccardo A, Sala G, Ferrulli V, Pravettoni D. Cut-off values for predictors
associated with outcome in dairy calves suffering from neonatal calf diar‑
rhea. A retrospective study of 605 cases. Livest Sci. 2021;245:104407. Declarations 16. Li Q, Liu W, Feng Y, Hou H, Zhang Z, Yu Q, Zhou Y, Luo Q, Luo Y, Ouyang H,
et al. Radix Puerariae thomsonii polysaccharide (RPP) improves inflamma‑
tion and lipid peroxidation in alcohol and high-fat diet mice by regulat‑
ing gut microbiota. Int J Biol Macromol. 2022;209(Pt A):858–70. Competing interests 20. Chambers MC, Maclean B, Burke R, Amodei D, Ruderman DL, Neumann
S, Gatto L, Fischer B, Pratt B, Egertson J, et al. A cross-platform toolkit for
mass spectrometry and proteomics. Nat Biotechnol. 2012;30(10):918–20. The authors declare no competing interests. 21. Jia H, Shen X, Guan Y, Xu M, Tu J, Mo M, Xie L, Yuan J, Zhang Z, Cai S, et al. Predicting the pathological response to neoadjuvant chemoradiation
using untargeted metabolomics in locally advanced rectal cancer. Radio‑
ther Oncol. 2018;128(3):548–56. Received: 22 September 2022 Accepted: 18 July 2023 Funding This work was funded by Sichuan Department of Science and Technology
Support Project (2019YJ0650). 14. Choi S, Woo JK, Jang YS, Kang JH, Jang JE, Yi TH, Park SY, Kim SY, Yoon YS,
Oh SH. Fermented Pueraria Lobata extract ameliorates dextran sulfate
sodium-induced colitis by reducing pro-inflammatory cytokines and
recovering intestinal barrier function. Lab Anim Res. 2016;32(3):151–9. Availability of data and materials The datasets generated and/or analyzed during the current study are available
from the corresponding author on reasonable request. 15. Chen R, Liu B, Wang X, Chen K, Zhang K, Zhang L, Fei C, Wang C, Ying‑
chun L, Xue F, et al. Effects of polysaccharide from Pueraria lobata on gut
microbiota in mice. Int J Biol Macromol. 2020;158:740–9. Conclusionh Biological basis of the behavior of sick animals. Neurosci Biobe‑
hav Rev. 1988;12(2):123–37. 5. Stanton TB. A call for antibiotic alternatives research. Trends Microbiol. 2013;21(3):111–3. Received: 22 September 2022 Accepted: 18 July 2023 22. Luo D, Deng T, Yuan W, Deng H, Jin M. Plasma metabolomic study in
Chinese patients with wet age-related macular degeneration. BMC
Ophthalmol. 2017;17(1):165.ll Supplementary Information 6. Zeng P, Li J, Chen Y, Zhang L. The structures and biological functions of
polysaccharides from traditional Chinese herbs. Prog Mol Biol Transl Sci. 2019;163:423–44. The online version contains supplementary material available at https://doi.
org/10.1186/s12917-023-03662-9. The online version contains supplementary material available at https://doi.
org/10.1186/s12917-023-03662-9. 7. She S, Liu W, Li T, Hong Y. Effects of puerarin in STZ-induced diabetic
rats by oxidative stress and the TGF-beta1/Smad2 pathway. Food Funct. 2014;5(5):944–50. Additional file 1: Table S1. The scoring criteria of clinical examina‑
tion. Table S2. Validation results of OPLS model. Table S3. Differential
metabolites identified of C vs D groups in the positive or negative mode. Table S4. Differential metabolites identified of D vs T groups in the
positive or negative mode. Figure S1. TIC of QC sample in positive and
negative modes respectively. Figure S2. RSD of QC sample in positive and
negative modes respectively. Additional file 1: Table S1. The scoring criteria of clinical examina‑
tion. Table S2. Validation results of OPLS model. Table S3. Differential
metabolites identified of C vs D groups in the positive or negative mode. Table S4. Differential metabolites identified of D vs T groups in the
positive or negative mode. Figure S1. TIC of QC sample in positive and
negative modes respectively. Figure S2. RSD of QC sample in positive and
negative modes respectively. 8. Alam MR, Kim WI, Kim JW, Na CS, Kim NS. Effects of Chitosan-oligo‑
saccharide on diarrhoea in Hanwoo calves. Veterinární Medicína. 2012;57(8):385–93. 9. Shanshan L, Yuli Q, Lixue C. Di Qu, Zhiman L, Kun G, Jianbo C, Yinshi S:
Effects of Panax ginseng polysaccharides on the gut microbiota in mice
with antibiotic-associated diarrhea. Int J Biol Macromol. 2019;124:931–7. 10. Bo L, Qing-Mei L, Gui-Ling L, Le-Chang S, Yuan-Yuan G, Ya-Fen Z, Hong
L, Min-Jie C, Guang-Ming L. The anti-diarrhea activity of red algae-orig‑
inated sulphated polysaccharides on ETEC-K88 infected mice. RSC Adv. 2019;9(5):2360–70. Author’s contributions LS, YS, YZ and LY designed the study. ZS, GP, ZZ and JD conducted the experi‑
ment. YS performed lab analysis and wrote the manuscript. SY, XW and XZ
performed statistics and analyzed the data. YZ and SC revised the article. All
authors carefully read and approved the final revision of the manuscript. 12. Zhou D, Mengmeng Z, Huixian L, Qiping Z, Furao L, Hui W. Structural
characterization and immunomodulatory activity of a novel polysac‑
charide from Pueraria lobata (Willd.) Ohwi root. Int J Biol Macromol. 2020;154:1556–64. 13. Zhen-Bin W, Bing-Bing C, Lina L, Jing-Kun Y. Fractionation, physicochemi‑
cal characteristics and biological activities of polysaccharides from
Pueraria lobata roots. J Taiwan Inst Chem E. 2016;67:54–60. Ethics approval and consent to participate The permissions for conducting the study in the dairy farm in Sichuan, China
was obtained. Sample collection was performed in strict accordance with
the guidelines of the Care and Use of Laboratory Animals of China, and
all procedures were approved by the Animal Care and Use Committee of
Sichuan Agricultural University (No.2013–028). This study was carried out in
compliance with the ARRIVE guidelines. This study has obtained the informed
consent from the farm owner. 17. McGuirk SM. Disease management of dairy calves and heifers. Vet Clin
North Am Food Anim Pract. 2008;24(1):139–53. 18. Walker PG, Constable PD, Morin DE, Drackley JK, Foreman JH, Thur‑
mon JC. A reliable, practical, and economical protocol for inducing
diarrhea and severe dehydration in the neonatal calf. Can J Vet Res. 1998;62(3):205–13. Received: 22 September 2022 Accepted: 18 July 2023 Referencesf 1. Caffarena RD, Casaux ML, Schild CO, Fraga M, Castells M, Colina R, Maya
L, Corbellini LG, Riet-Correa F, Giannitti F. Causes of neonatal calf diarrhea
and mortality in pasture-based dairy herds in Uruguay: a farm-matched
case-control study. Braz J Microbiol. 2021;52(2):977–88. 2. Bartels CJ, Holzhauer M, Jorritsma R, Swart WA, Lam TJ. Prevalence, predic‑
tion and risk factors of enteropathogens in normal and non-normal
faeces of young Dutch dairy calves. PREV VET MED. 2010;93(2):162–9. 3. Maes RK, Grooms DL, Wise AG, Han C, Ciesicki V, Hanson L, Vickers ML,
Kanitz C, Holland R. Evaluation of a human group a rotavirus assay for
on-site detection of bovine rotavirus. J CLIN Microbiol. 2003;41(1):290–4. 1. Caffarena RD, Casaux ML, Schild CO, Fraga M, Castells M, Colina R, Maya
L, Corbellini LG, Riet-Correa F, Giannitti F. Causes of neonatal calf diarrhea
and mortality in pasture-based dairy herds in Uruguay: a farm-matched
case-control study. Braz J Microbiol. 2021;52(2):977–88. 1. Caffarena RD, Casaux ML, Schild CO, Fraga M, Castells M, Colina R, Maya
L, Corbellini LG, Riet-Correa F, Giannitti F. Causes of neonatal calf diarrhea
and mortality in pasture-based dairy herds in Uruguay: a farm-matched
case-control study. Braz J Microbiol. 2021;52(2):977–88. 23. Wang B, Yang CT, Diay QY, Tu Y. The influence of mulberry leaf flavonoids
and Candida tropicalis on antioxidant function and gastrointestinal
development of preweaning calves challenged with Escherichia coli
O141:K99. J Dairy Sci. 2018;101(7):6098–108. y
2. Bartels CJ, Holzhauer M, Jorritsma R, Swart WA, Lam TJ. Prevalence, predic‑
tion and risk factors of enteropathogens in normal and non-normal
faeces of young Dutch dairy calves. PREV VET MED. 2010;93(2):162–9. 24. Bulent E, Durmus FB. Investigation of the therapeutic efficacy of sepiolite
in neonatal calf diarrhea. Int Biol Biomed J. 2016;2:110. 25. Xiaoshuai C, Haiming Y, Zhiyue W. The effect of different dietary levels
of defatted rice bran on growth performance, slaughter performance,
serum biochemical parameters, and relative weights of the viscera in
geese. Animals. 2019;9(12):1040. 3. Maes RK, Grooms DL, Wise AG, Han C, Ciesicki V, Hanson L, Vickers ML,
Kanitz C, Holland R. Evaluation of a human group a rotavirus assay for
on-site detection of bovine rotavirus. J CLIN Microbiol. 2003;41(1):290–4. Page 12 of 12 Shen et al. BMC Veterinary Research (2023) 19:98 Shen et al. BMC Veterinary Research (2023) 19:98 26. Shujin W, Chunhua G, Lin Z, Zhendong Z, Wuzheng Z, Yanling H, Zheng‑
fan Z, Theo GMFG, Tos TJMB. Referencesf Effects of dietary supplementation with epi‑
dermal growth factor-expressing Saccharomyces cerevisiae on duodenal
development in weaned piglets. Brit J Nutr. 2016;115(9):1509–20. development in weaned piglets. Brit J Nutr. 2016;115(9):1509–20. 27. Zhang L, Chen L, Xu A. A simple model established by blood markers
predicting overall survival after radical resection of pancreatic ductal
adenocarcinoma. Front Oncol. 2020;10:583. 28. He L, Wang C, Simujide H, Aricha H, Zhang J, Liu B, Aorigele C. Effects
of pathogenic Escherichia coli infection on the flora composition,
function, and content of short-chain fatty acids in calf feces. Animals. 2022;12(8):959. 29. Myers WA, Wang F, Chang C, Davis AN, Rico JE, Tate BN, France TL, Wang
LF, McFadden JW. Intravenous trimethylamine N-oxide infusion does not
modify circulating markers of liver health, glucose tolerance, and milk
production in early-lactation cows. J Dairy Sci. 2021;104(9):9948–55. 30. Tan X, Liu Y, Long J, Chen S, Liao G, Wu S, Li C, Wang L, Ling W, Zhu H. Trimethylamine N-oxide aggravates liver steatosis through modulation
of bile acid metabolism and inhibition of farnesoid X receptor signal‑
ing in nonalcoholic fatty liver disease. Mol Nutr Food Res. 2019;63(17):
e1900257. 31. Jianing L, Paul AD. Animal models to study bile acid metabolism. BBA -
Mol Basis Dis. 2019;1865(5):895–911. 32. Kastl A, Zong W, Gershuni VM, Friedman ES, Tanes C, Boateng A, Mitchell
WJ, O’Connor K, Bittinger K, Terry NA, et al. Dietary fiber-based regulation
of bile salt hydrolase activity in the gut microbiota and its relevance to
human disease. Gut Microbes. 2022;14(1):2083417. 33. Mei-Zhou H, Dong-An C, Xiao-Hu W, Wang H, Zuo-Ting Y, Xue-Zhi D,
Sheng-Yi W. Serum metabolomics revealed the differential metabolic
pathway in calves with severe clinical diarrhea symptoms. Animals. 2020;10(5):769. 34. Chen Q, Xie Q, Jiang C, Evivie SE, Cao T, Wang Z, Zhao L, Liang S, Li B, Huo
G. Infant formula supplemented with 1,3-olein-2-palmitin regulated the
immunity, gut microbiota, and metabolites of mice colonized by healthy
infant feces. J Dairy Sci. 2022;105(8):6405–21. 35. Guan Z, Zhao Q, Huang Q, Zhao Z, Zhou H, He Y, Li S, Wan S. Modified
Renshen Wumei decoction alleviates intestinal barrier destruction in rats
with diarrhoea. J Microbiol Biotechn. 2021;31(9):1295–304. 36. Hui S, Benyan W, Jun W, Wenhui L, Binbin S. The role of serum intestinal
fatty acid binding protein levels and D-lactate levels in the diagnosis of
acute intestinal ischemia. Clin Res Hepatol Gas. 2015;39(3):373–8. 37. Referencesf Choose BMC and benefit from: •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress. Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: 44. Silliman CC, Elzi DJ, Ambruso DR, Musters RJ, Hamiel C, Harbeck RJ,
Paterson AJ, Bjornsen AJ, Wyman TH, Kelher M, et al. Lysophosphatidyl‑
cholines prime the NADPH oxidase and stimulate multiple neutrophil
functions through changes in cytosolic calcium. J Leukocyte Biol. 2003;73(4):511–24. 45. Zhu X, Learoyd J, Butt S, Zhu L, Usatyuk PV, Natarajan V, Munoz NM,
Leff AR. Regulation of eosinophil adhesion by lysophosphatidylcho‑
line via a non-store-operated Ca2+ channel. Am J Resp Cell Mol. 2007;36(5):585–93. Referencesf Geng C, Guo Y, Wang C, Liao D, Han W, Zhang J, Jiang P. Systematic
impacts of chronic unpredictable mild stress on metabolomics in rats. Sci
Rep-UK. 2020;10(1):700. 38. Macrae AI, Burrough E, Forrest J, Corbishley A, Russell G, Shaw DJ. Risk
factors associated with excessive negative energy balance in commercial
United Kingdom dairy herds. Vet J. 2019;250:15–23. 39. Bozukluhan K, Merhan O, Gokce HI, Deveci HA, Gokce G, Ogun M, Marasli
S. Alterations in lipid profile in neonatal calves affected by diarrhea. Vet
World. 2017;10(7):786–9. 40. Taylor JD, Rodenburg M, Snider TA. Comparison of a commercially
available oral nutritional supplement and intravenous fluid therapy for
dehydration in dairy calves. J Dairy Sci. 2017;100(6):4839–46. 41. Tsukano K, Suzuki K. Plasma amino acid abnormalities in calves with diar‑
rhea. J Vet Med Sci. 2019;81(4):517–21. 41. Tsukano K, Suzuki K. Plasma amino acid abnormalities in calves with diar‑
rhea. J Vet Med Sci. 2019;81(4):517–21. 42. Burke JE, Dennis EA. Phospholipase A2 structure/function, mechanism,
and signaling. J Lipid Res. 2009;50(Suppl):S237–42. 43. Watson H. Biological membranes. Essays Biochem. 2015;59:43– •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress. Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress. Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress.
Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in pub‑
lished maps and institutional affiliations. Springer Nature remains neutral with regard to jurisdictional claims in pub‑
lished maps and institutional affiliations.
|
https://openalex.org/W2587698565
|
http://pdf.blucher.com.br/engineeringproceedings/1enei/044.pdf
|
Portuguese
| null |
INOVAÇÃO SECUNDÁRIA NA CONSTRUÇÃO DE CAPACIDADES TECNOLÓGICAS NO SETOR AUTOMOBILÍSTICO CHINÊS
|
Blucher Engineering Proceedings
| 2,016
|
cc-by
| 7,245
|
1 Mestre em Política Científica e Tecnológica. Este trabalho procede da minha dissertação de Mestrado
intitulada “O Estado e as Empresas Multinacionais no desenvolvimento produtivo e tecnológico da
indústria automobilística chinesa”. Resumo Este trabalho se mostra importante colaboração na gestão pública da inovação
tecnológica setorial para os Países em desenvolvimento que desejam evolução das
capacidades tecnológicas e/ou construção desses conjuntos para setores da indústria de
alta intensidade de P&D. Quanto a nosso material e métodos empregados, foi realizada
uma pesquisa empírica, descritiva por levantamento de dados em fontes secundárias. Todos os dados após serem tabulados foram tratados com o uso da estatística descritiva. Ficou demonstrado o período da formação das empresas automobilísticas chinesas bem
como as origens das capacidades tecnológicas. Concluímos que o desenvolvimento das
capacidades de aprendizagem institucional apoiou as construções das outras
capacidades, como as produtivas e as tecnológicas, e isto crescentemente evoluiu para
aumento a partir dos anos de 1990, nas montadoras chinesas engajadas nas políticas
públicas para o desenvolvimento do setor. Além disso as relações em Joint Ventures
Internacionais (JVIs) elevou os níveis de aprendizagem das firmas nesses conjuntos de
capacidades observadas. Os efeitos de transbordamento causados pelo dinâmico
processo da aprendizagem das firmas promoveram rápida capacitação para inovar nas
empresas independentes de capital privado que se instalaram na concorrência local a
partir de 1990. Como resultado destes fatores, empresas multinacionais, transferência de
avançada tecnologia, estrutura de absorção de inovações tecnológicas, a indústria
automobilística chinesa se tornou líder mundial em produção e vendas no setor. INOVAÇÃO SECUNDÁRIA NA CONSTRUÇÃO DE
CAPACIDADES TECNOLÓGICAS NO SETOR
AUTOMOBILÍSTICO CHINÊS Rodrigo Diogo Teixeira1
Sérgio Reis Robles de Queiroz2
Ana Cristina Andrade3
Flávia Luciene Consoni; 2 Eng. Civil (USP, 1978); Mestre (Unicamp, 1987); Doutor (Unicamp, 1993); Livre-Docente (Unicamp,
2004). Credenciado no Mestrado e Doutorado em Política Científica e Tecnológica.
3 Psicóloga, compositora e cantora, palestrante em Saúde Mental. 3 Psicóloga, compositora e cantora, palestrante em Saúde Mental. 2 Eng. Civil (USP, 1978); Mestre (Unicamp, 1987); Doutor (Unicamp, 1993); Livre-Docente (Unicamp,
2004). Credenciado no Mestrado e Doutorado em Política Científica e Tecnológica. Introdução Este trabalho está vinculado à linha de pesquisa de Economia da Inovação
tecnológica e tem como eixo principal mostrar a complexa organização do Estado
chinês na promoção de sua industrialização para setores de alta intensidade de uso de
P&D. Ele serve como base para estudos sobre o papel do Estado na gestão de políticas
públicas envolvendo um multidimensionamento para esferas educacionais de formação
de recursos humanos para o sistema de unidades criativas, que transformam e criam novos conhecimentos e informações tecnológicas que são insumos para inovar. E por
outro eixo, ele demonstra como as empresas estrangeiras multinacionais foram
importante no processo de construção das capacidades tecnológicas nas empresas do
setor automobilístico chinês. A competitividade é um fenômeno da maior importância nos estudos sobre
organização industrial, pois empresas e regiões competitivas viabilizam maiores taxas
de crescimento econômico e de desenvolvimento social. O seu entendimento, porém,
não é unânime. Focando as organizações industriais, alguns especialistas costumam
associar a competitividade à maior eficiência técnica dos processos produtivos
adotados. A comparação de indicadores técnicos, do tipo insumo-produto,
produtividade dos fatores, entre outros, com as best-practices verificadas na indústria,
fornece um ranking e aponta as organizações mais eficientes. A análise por envoltória
desenvolvida por Charnes; Cooper; Rhodes (1978) é freqüentemente utilizada para o
estudo da eficiência técnica. Outros preferem associar a competitividade ao desempenho
de mercado, isto é, ao crescimento da participação no mercado ou marketshare
(COUTINHO; FERRAZ, 1995). Neste artigo, adota-se o segundo entendimento de
competitividade. A inovação secundária tende-se a ser difundida mais rapidamente do
que as inovações primarias que despendem maiores níveis de organizações da P&D das
empresas multinacionais com conhecimento avançado em linha de fronteira tecnológica. O conceito de capacidade é entendido neste trabalho como aquele relativo ao
indivíduo ou à organização e que engloba recursos tais como habilidades,
conhecimentos e experiência que permitem, a tais agentes, avançarem para estágios
superiores de desenvolvimento. Trata-se de uma bagagem que, ao permitir o acúmulo de
capacidades, a partir de processos contínuos de aprendizagem, possibilita que as
organizações de uma forma geral desenvolvam sempre melhores e diferenciados
processos, produtos, práticas organizacionais, etc (LALL, 1992; BELL; PAVITT,
1993). Ou seja, a partir de processo de aprendizagem a empresa consegue acumular
capacidades ao longo do tempo, de níveis mais simples aos mais evoluídos e
complexos. Autores como Katz (1987), Dahlman et al. Introdução (1987) e Lall (1987; 1992; 1994)
afirmam que este processo de aprendizagem nas organizações é contínuo, evolutivo e
cumulativo com o tempo, culminando no processo de construção de capacidades. Segundo Figueiredo (2004), o produto final do processo de aprendizagem revela o nível
da tecnologia aplicada no conjunto do processo produtivo e deste modo o grau de
complexidade tecnológica será igual à capacitação técnica em nível operacional que
reflete a qualidade e experiência do estoque de trabalhadores operacionais trabalhando
em seus departamentos internos. Demais trabalhos sobre as capacidades tecnológicas se baseiam em várias
taxonomias que avaliam seu crescimento nas empresas e/ou setores da indústria de
países desenvolvidos e em desenvolvimento Lall (1992), Bell, Pavitt (1993), Bell (1982;
1996; 2007), Figueiredo (2003; 2004; 2007), Consoni (2004), Queiroz, Quadros (2005),
Quadros (2009), Dutrénit (2004), Amsden (2001), Bell (2007) e Bell, Figueiredo
(2013). Este artigo utiliza-se destes autores para evidenciar a importância dos atores
públicos e privados nas mudanças de trajetórias tecnológicas para a construção de
capacidades produtivas, tecnológicas e institucionais. A ascensão do setor
automobilístico chinês de 1980 a 2014 comprova tais teorias do desenvolvimento das
forças produtivas. Interessa-nos estudar a relação entre a mudança estrutural do setor
automobilístico chinês ocorrida nos anos 1980 e o comportamento das empresas do
setor em aumento progressivo do conjunto de capacidades tecnológicas, produtivas e de
aprendizagem institucional. Este setor, porém, apresenta um parque industrial com
significativa presença de empresas transnacionais, diversificado e representativo
distribuído nas 31 Províncias chinesas. Segundo a Agência especializada no setor Fourin, em 2012, existia 179 plantas
no setor automobilístico na China. A maior quantidade de plantas produtivas está
localizada na região Oeste, 90, seguida respectivamente, pelas regiões Central 48, Leste
25 e Noroeste 16 plantas. A indústria automobilística chinesa responde pela primeira
colocação em produção e vendas no setor na concorrência direta com as empresas
transnacionais no mercado interno e externo. Cabe ressaltar que a capacidade de
produção e adequação a novos produtos como veículos elétricos hodiernamente é
bastante significativo para a perpetuação dos chineses na liderança automobilística
mundial, segundo dados da OICA e CAAM, órgãos oficiais internacionais. O artigo está dividido em quatro seções além desta introdução. Na segunda
explicita-se a metodologia empregada. Na terceira é desenvolvida o referencial
conceitual que serviu de base para o desenvolvimento do estudo empírico. Na quarta são
apresentados os resultados da pesquisa. Na última seção são apresentadas as
considerações finais. Material e método A pesquisa se pautou numa amostra de empresas retirada do China Association
of Automobile Manufacturers (CAAM) órgão oficial do setor. Este trabalho é um estudo
qualitativo, apoiado em pesquisa empírica, descritiva, documental e histórica. Para sua
execução, foram utilizados essencialmente dados secundários. A análise se baseou na
literatura internacional sobre a indústria automobilística chinesa, leitura das informações
coletadas e interpretação dessas informações. Para o estudo do desenvolvimento dessas capacidades na indústria
automobilística chinesa, foram selecionadas 6 empresas do setor que juntas em 2012
representavam 64,7% das vendas de automóveis. Dentre essas empresas, três são do
Estado (SAIC, DFM, Changan) e as demais independentes de capital privado (CHERY,
GEELY e BYD). Após tal seleção, foram definidas seis variáveis para medição das
capacidades produtivas e tecnológicas por empresa selecionada, sendo três variáveis
para cada um dos grupos de capacidades. Para capacidades produtivas, as variáveis
compreendem: volume de produção anual; número de plantas produtivas; e, número de
modelos. Para as tecnológicas, as variáveis são: número de patentes; número de pessoal
ocupado em tempo integral nos laboratórios internos de P&D; e, número de plantas de
P&D. O levantamento dos dados sobre patentes de empresas deste setor foi realizado no
State Intelectual Property Office da R.P.C entre 2011-2013. Para a condução dessas análises, foram acessados livros e artigos científicos
sobre a indústria automobilística chinesa, além de consultas a internet, sítios das
empresas chinesas do setor, fontes documentais e bancos de dados estatísticos de órgãos
oficiais chineses como Ministério da Ciência e Tecnologia (C&T) da China, Ministério
da Educação da China, Agência Oficial de Propriedade Intelectual da China, China
Statistical Yearbook, Fourin China Automotive Intelligence, Associação dos
Fabricantes de Automóvel da China (CAAM em inglês), além de esferas de
coordenação da indústria automobilística mundial, como a Organização Internacional
dos Fabricantes de Automóveis (OICA em inglês) e o GERPISA. Os dados colhidos na
pesquisa foram analisados por intermédio da estatística descritiva. Referencial teórico ou conceitual A
cooperação para este comportamento especificamente para a obtenção de aprendizado
tecnológico para que os chineses – como vemos hoje em dia, na sua indústria
automobilística – chegassem ao primeiro lugar em vendas e produção se deu por
intermédio de parcerias com empresas estrangeiras, a primeira parceira deles foram as
empresas russas. Da indústria automobilística russa se originou as primeiras capacidades
produtivas e tecnológicas para os chineses para a produção de caminhões em meados de
1950 (HOLWEG; LUO; OLIVER, 2005, p.5). Em 1950 como conta a história estes
parceiros chineses já possuíam know how para produção de veículos pois pela lógica de
guerras por mercados, a produção automobilística tinha alta demanda – falo do período
de 1910 a 1950 -, ao que a história aponta houve a primeira transferência de capacidades
de produzir automóveis para os chineses em 1950. Os primeiros automóveis chineses
foram caminhões pesados de 5 Toneladas para a indústria militar. As montadoras russas
em 1950 já eram reconhecidas no mundo pela qualidade de seus caminhões. Os
caminhões chineses herdaram essa qualidade. Em 1953, após a chegada de 39 engenheiros enviados a Rússia para treinamento
a mando de Mao Tsé, é inaugurada a First Automobile Works. Em seguida a Shanguai
Automobile Corporation, em 1955. E assim por diante dados em Wang (2009) apontam
que em 1979 havia 56 montadoras na China e entre o período de 1966-1979 a evolução
do número de montadoras foi de 42,86 %, ou 24 novas plantas (WANG, 2009, p. 385).Como afirma Nam (2010, p.3), “a indústria automobilística chinesa seguiu na
estratégia Exchange-market-for-technology”. As JVIs aliadas à gestão estatal obrigaram as EMNs a realizar a transferência de
tecnologia mais avançada às montadoras chinesas por meio dessas parcerias. Através do
Ministério da Ciência e Tecnologia o governo guiou o desenvolvimento produtivo e
tecnológico e o avanço das capacidades de produção e tecnologia deste setor. Vários
ministérios integrados coordenaram por instrumento de política industrial no setor a
construção das capacidades produtivas, tecnológicas e institucionais, sendo que a última
deu se maior ênfase para desenvolver as demais. Na década de 1980 iniciou-se a
abertura comercial chinesa com a execução do plano de metas de evolução dos níveis
gerais de conhecimentos tecnológicos através dos planos organizados pelas estruturas
institucionais chinesas, responsáveis por a longo prazo formar tais níveis elevados de
capacidades no setor automobilístico. Em 1982, foram executados três planos envolvendo várias esferas de
coordenação ministeriais. Referencial teórico ou conceitual O aprendizado tecnológico e organizacional como um todo é considerado
elemento-chave dentre os fatores condicionantes do desevolvimento produtivo-
tecnológico (Bell, 1984; Bell & Pavitt, 1993; Kim, 1997). Bell define o aprendizado
tecnológico como “the acquisition of additional technical skill and knowledge by
individuals and through them by organisations” (Bell, 1984, p. 188). De acordo com
Bell, Figueiredo (2013, p.8) sobre as firmas de países em desenvolvimento têm se
destacado na construção de capacidades tecnológicas por diversas vias, tais como: a)
uso das fontes internas e externas de conhecimentos tecnológicos, b) subcontratações, c)
joint ventures, d) licenciamentos, e) treinamento de talentos no exterior, f) imitação, g)
transferência de conhecimento incorporado em normas, h) aprendizado interativo “face-
to-face interactions”, i) aprendizagem através de pressões para atender aos padrões
internacionais, j) treinamento com líderes e empresas estrangeiras, e, k) efeito
transbordamento de conhecimentos (spillovers). Estas empresas conseguem desenvolver
in-house capacidades de marketing e designer independentes atualizando suas
capacidades produtivas e tecnológicas, gerando através de aprendizado tecnológico com
diversas fontes, o que neste trabalho é chamado de capacidades institucionais, as quais
permitem as condições necessárias ao bom desenvolvimento das forças produtivas no
espaço para que se alcance o desenvolvimento socioeconômico. A literatura sobre aprendizado tecnológico se desenvolve sobre a capacidade de
absorção de conhecimento e informações tácitas e não tácitas a partir de indivíduos em
organizações produtivas ou unidades criativas ligadas as organizações industriais. Estas
aplicam conhecimentos dessas unidades criativas no âmbito do processo produtivo e
geram as inovações tecnológicas, que são largamente utilizadas na promoção da
competitividade das firmas por mercados. Os pilares analíticos desta tal função da
produção internalizada nas firmas industriais considerando as unidades criativas –
indivíduos – pode ser entendida em duas dimensões do conhecimento intangível e
tangível, onde, o primeiro esta nas experiências vivenciadas pelos indivíduos ligados as
áreas estratégicas da produção interna a firma, como Marketing, Pesquisa &
Desenvolvimento e outros, e a segunda dimensão, esta na distribuição normalizada dos
saberes nos veículos da comunicação de nossa sociedade cientifica e cultural, e sofre
variações do ambiente educacional e nível de civilidade locais presentes no Mundo. Há inúmeros trabalhos internacionais sobre o desenvolvimento da indústria
automobilística asiática em especial, a chinesa (HE, 2008; WANG, 2009; HOLWEG;
LUO; OLIVER, 2005; NAM, 2010). Estes trabalhos mostram uma interação quanto a
transferência de tecnologia de empresas transnacionais as empresas locais. Referencial teórico ou conceitual Os planos foram o Programa Nacional de Pesquisa em
Tecnologias Chave (PNPTC) e Programa Nacional de Tecnologias Chaves em P&D
(PNTC P&D), e o Programa Nacional de P&D em Indústrias de Alta Tecnologia
(PNPD). Tinham o prazo de 1982-1997 para serem concluídos. O Programa Nacional
de P&D em indústrias de média-alta intensidade tecnológica, por exemplo, apoiou a
política de atração das alianças entre empresas multinacionais e chinesas na estrutura
legal de joint ventures produtivas ea fim de transferir para essas últimas, conhecimentos
tecnológicos avançados e desenvolve-los localmente a posteriori. De acordo como Wang (2009) registra, a transferência de tecnologia da FAW
para a SAW. O autor demonstra que enquanto a FAW importou 95% dos equipamentos e máquinas usados em sua primeira base produtiva, a SAW comprou em 1969 a mesma
porcentagem dos equipamentos de empresas de origem nacional, no mercado interno,
sem importar do exterior, em contraste com as maciças importações realizadas pela
FAW. e máquinas usados em sua primeira base produtiva, a SAW comprou em 1969 a mesma
porcentagem dos equipamentos de empresas de origem nacional, no mercado interno,
sem importar do exterior, em contraste com as maciças importações realizadas pela
FAW. Também durante a década de 1980 o governo chinês criou instituições de ciência
e tecnologia visando apoiar o sistema nacional de inovação. Como observa em
economias desenvolvidas este sistema está estritamente ligado com o bom nível de
qualidade da educação destas economias, capazes de atender a demanda interna e
externa em todos os níveis de exigência da sociedade. No ano de 1985 foi fundado o
China Automotive Technology & Research Center (CATARC) após a aprovação do
National Science and Technology Commission. Este Centro de Tecnologia e Pesquisa
automotiva faz o papel da administração técnica da indústria, na regulação,
planejamento de políticas governamentais e encontra-se subordinado ao State-owned
Assets Supervision and Administration Commission of the State Council (SASAC) que é
o órgão regulador máximo do Governo Central. Dentre suas responsabilidades, é o
responsável pela seleção dos negócios e investimentos das empresas estrangeiras que,
de 1985 a 2013, realizaram investimentos diretos estrangeiros no mercado chinês, em
especial, na indústria automobilística. O governo chinês criou ainda em 1988 o
Departamento de Política Industrial, que foi o responsável pela primeira política
automotiva de 1994 – que citada aqui será mais detalhada na seguinte seção. Esta irá
fortalecer ainda mais a competitividade no mercado interno do setor. 4 Operações de knock-down (KD) na indústria automobilística referem-se à montagem e transporte de kits
de veículos desmontados para serem montados em mercados estrangeiros. Em muitos casos, foi utilizada Referencial teórico ou conceitual O planejamento
adotado para o desenvolvimento das capacidades de alto valor agregado que estão nas
engrenagens do setor automobilistico chinês sempre foram bem sinalizadas nas
empresas que existiam na China de 1950 até 2014. Na medida em que apareciam os
bons resultados no setor aumentavam-se os níveis de capacidades institucionais,
trazendo dinamismo de aprendizagem nas esferas administrativas e também
governamentais. As parcerias de chinesas com estrangeiras em multiplas JVIs – usadas como
escolas para aprendizado tecnológico – promove a atualização produtiva e tecnológica
das empresas chinesas. Além de ser a base de seu rápido progresso de aquisição de
capacidades produtivas e tecnológicas, vistos no setor, a partir de 1990. O Estado
decidia sobre a localização e a forma da partilha da tecnologia nas JVIs. E também
distribuia os projetos de desenvolvimento de modelos de automóveis entre suas
montadoras nestas parcerias. A VW nos anos de 1980 celebrou uma JVI com duas de
suas maiores empresas no setor, a SAIC e FAW, e delegou à FAW-VW um novo
projeto a ser desenvolvido em 1988 (que teve a parceria da subsidiaria da VW no
Brasil), tendo por objetivo produzir o primeiro automóvel de passageiro com peças
100% chinesas e motor alemão, VW-Jetta, no inicio dos anos de 1990 para o mercado
local. Estes contratos entre empresas complementam os ativos e podem gerar um
dinâmico processo de aprendizagem sobre métodos de produção e criação de inovações
tecnológicas de processos e/ou produtos. Segundo Nam (2010, p.3) as JVIs são redes de
empresas que acoplam suas capacidades tecnológicas compartilhadas entre si. Este tipo
de arranjo foi empregado pelos chineses na evolução das firmas chinesas da indústria
automobilística. Aos poucos a China foi substituindo a importação de automóveis
baseada em Completely Knock-Down4 (CKD) pela produção programada. Ao final do período analisado, como afirma He (2008, p.8), “o governo chinês decidiu transformar
sua indústria automobilística concentrada na produção de caminhões em automóveis de
passageiros, a partir de 1987”. Referencial teórico ou conceitual Seguindo as contribuições de autores consagrados sobre o fundamento desta
obra, como Lall (1992), Bell, Pavitt (1993), Bell (1982; 1996; 2007), Figueiredo (2003;
2004; 2007), Consoni (2004), Queiroz, Quadros (2005), Quadros (2009), Dutrénit
(2004), Amsden (2001), Bell (2007) e Bell, Figueiredo (2013) é possível qualquer País
do Mundo obter capacidades produtivas, tecnológicas e institucionais em um período de
30 anos se houver as congruências necessárias no diálogo entre os principais atores
setoriais da inovação, ou seja, no âmbito público e privado uma união de investimentos
estáveis e no âmbito cientifico uma harmonia fina com os empresários locais ligados a
administração das unidades produtivas, onde se dá a inovação tecnológica e a
capitalização responsável pela distribuição de riquezas a sociedade via bem e serviços
finais e salários. Resultados O núcleo central das capacidades institucionais iniciada com a criação de esferas
de planejamento socioeconômico – Conselho do Estado, Ministérios, órgãos setoriais e
outras instituições - vai culminar com a criação da primeira lei chinesa sobre JVIs,
fundamental para a atualização das capacidades produtivas e tecnológicas industriais. Em fins deste período abordado surge a necessidade de progresso técnico na indústria
automobilística e demais setores chineses da indústria e as JVIs foram escolhidas para
obtê-lo. O início do setor o primeiro bem a ser aprendido foi como fazer caminhões, e a
escola de produção foi a empresa russa Zavod Imena Stalina – ZIS. GRÁFICO 1. Evolução da produção de carros chinesa -1949-1979
esta abordagem para contornar altos impostos incidentes sobre a importação de veículos acabados, ou
para evitar os investimentos para uma instalação completa de montagem de veículos onde os volumes não
justificam isso. Operações KD podem assumir várias formas, desde kits completos (CKD) a semi-KD
(SKD) onde as operações de prensagem, soldagem e pintura são feitas localmente, enquanto que as peças
são importadas em conjuntos (como kits) a partir do estrangeiro. GRÁFICO 1. Evolução da produção de carros chinesa -1949-1979 GRÁFICO 1. Evolução da produção de carros chinesa -1949-1979 esta abordagem para contornar altos impostos incidentes sobre a importação de veículos acabados, ou
para evitar os investimentos para uma instalação completa de montagem de veículos onde os volumes não
justificam isso. Operações KD podem assumir várias formas, desde kits completos (CKD) a semi-KD
(SKD) onde as operações de prensagem, soldagem e pintura são feitas localmente, enquanto que as peças
são importadas em conjuntos (como kits) a partir do estrangeiro. Fonte: Elaboração própria a partir de Oica-Fourin e Catarc, 2014. Fonte: Elaboração própria a partir de Oica-Fourin e Catarc, 2014. Vale notar que em 1979 havia 56 montadoras na China e entre o período de
1966-1979 a evolução do número de montadoras foi de 42,86 %, ou 24 novas plantas
(WANG, 2009, p. 385). A China termina o período com a promulgação da primeira
versão da lei sobre JVI. Essas construções participativas que vêm no contexto
macroeconômico de abertura comercial desenvolvem capacidades produtiva e
tecnológica via sistema de aprendizado e absorção de conhecimentos tecnológicos. O avanço das capacidades tecnológicas se deu no setor a partir de 1979 e o oque
causou esta evolução foi o bom planejamento e restruturação organizacional e produtiva
pelo qual as empresas automobilísticas foram submetidas como podemos obervar na
Figura 1 a seguir. Como afirma He (2008, p.8), “o governo chinês decidiu transformar
sua indústria automobilística concentrada na produção de caminhões em automóveis de
passageiros, a partir de 1987. Desde então, a indústria automobilística chinesa entrou
em uma era de crescimento rápido”. Figura 1. A evolução de Instituições da China Figura 1. A evolução de Instituições da China Fonte: Elaboração própria a partir de Market Analysis Report: China’s Automotive
Industry, APCO (2010, p.15). Fonte: Elaboração própria a partir de Market Analysis Report: China’s Automotive
Industry, APCO (2010, p.15). Como consequência dessas transformações no modo e meios de produção no
setor, em 1990, cresceu o número de parceiras que transferia suas capacidades
produtivas e tecnológicas avançadas as firmas chinesas, via essas esferas organizadas
para captar e distribuir desenvolvimento cientifico e tecnológico as firmas chinesas que
a partir de 1980 se submetem as joint ventures chinesas com as multinacionais
estrangeiras. Veja a evolução da produção em 1990. GRÁFICO 2. Evolução da produção de 1980-1990
Fonte: Elaboração própria a partir de Oica-Fourin e Catarc, 2014. GRÁFICO 2. Evolução da produção de 1980-1990 GRÁFICO 2. Evolução da produção de 1980-1990 Fonte: Elaboração própria a partir de Oica-Fourin e Catarc, 2014. Observe no gráfico 2, que a produção de caminhões decresce a partir de 1994 e
aumenta-se vertiginosamente a produção de carros comerciais e automóvel de
passageiros. Fonte: Elaboração própria a partir de Oica-Fourin e Catarc, 2014. Provavelmente este fenômeno está ligado ao controle sobre o progresso de
capacidades tecnológicas e produtivas feitos no ambiente regional pelos promotores
institucionais de política setorial voltada ao progresso industrial com o apoio da
primeira política para o setor datada de 1994, que criou mecanismo de demanda local e
conseguiu substituir as importações de autopeças das montadoras automobilísticas
produzindo na China. Em 2004 ira ser promulgada a segunda política para o setor
adequando as empresas chinesas as the best-practices internacionais, se aproveitando da
ascensão chinesa junto a Organização Mundial do Comércio, em dezembro de 2001. GRÁFICO 3. Desenvolvimento das capacidades da produção - 1990-2000 Fonte: Elaboração própria a partir de dados da CATARC, 2009. Fonte: Elaboração própria a partir de dados da CATARC, 2009. A chave do sucesso no setor para Richet, Ruet (2007, p.3) foi o aumento de
bases produtivas dentro da China com elevação das capacidades produtivas e
tecnológicas no setor com incentivos do Estado. Em seu trabalho esses autores apontam
o declínio da taxa de produção industrial (em %) concluindo para três níveis medidos de
concentração que os cálculos realizados para uma, para duas e para três empresas de
concentração industrial passam de 19,2% para 14,7%, de 38,0% para 25,4% e 43,0%
para 34,4%, respectivamente, de 1985 a 1998. Tomemos uma nota, aqui, nos anos de
1990 a concorrência por mercado no setor, entre chinesas e estrangeiras, colaborou no
desenvolvimento de novas tecnologias no setor. A partir de 1990 a China já se afastara dos sistemas de inovação nacional dos
soviéticos e dos americanos, que se concentravam na defesa, e já se projetava para um
sistema com foco estabelecido na competitividade empresarial promovida pela inovação
tecnológica em suas empresas industriais. Sobre este assunto, como registrou
(AMSDEN, 2009, p.482), a inflexão que proporcionou este grande passo da China nos
anos de 1990 aconteceu no período anterior, mais precisamente em 1985, quando o
Comitê Central do Partido Comunista Chinês decretava que o meio chinês para atingir
crescimento econômico e desenvolvimento industrial para empresas de alta tecnologia deveria se basear na aquisição de ciência e tecnologia5. O desenvolvimento
institucional e científico-tecnológico veio com a criação de parques científicos com
projetos nacionais de P&D in-house. Os incentivos fiscais e o crédito subsidiado foram
importantes em ambos os casos (AMSDEN, 2009, p.482). 5 Para maiores informações consultar: SAICH, T. Reforms of China’s Science and Technology
Organizational System: Science and Technology in Post-Mao China (eds). D. Simon and M.
Goldman. Cambridge: Cambridge University Press, p.69-88, 1989. Fonte: Elaboração própria a partir de Oica-Fourin e Catarc, 2014. Considere que a capacidade produtiva ilustra o desempenho na produção e
diversificação dos veículos; as capacidades tecnológicas são um indicador do
aperfeiçoamento destes produtos/ processos; e as capacidades institucionais são um
meio de avaliar e dar destaque ao papel do Estado, da evolução jurídica-legal das suas
regulações e da coordenação de suas políticas internas. A sintonia entre tais capacidades
foi fato fundamental para projetar a indústria automobilística chinesa no cenário
nacional e internacional. Para ilustrar o avanço da indústria automotiva chinesa em tais capacidades,
elegemos um conjunto de indicadores que bem representam tal evolução. Quanto às
capacidades produtivas, trabalhamos com: o volume de produção; o número de plantas;
e, o número de modelos de veículos por empresa. Com relação às capacidades
tecnológicas, usamos: o número de patentes por empresa; o número de laboratórios e
institutos de P&D in-house; e o número de pessoal empregado internamente nos
laboratórios e institutos de P&D por empresa. E em relação as capacidades de
aprendizagem institucional, fazemos menção ao: número de intuições de P&D em
indústrias de alta tecnologia; número de instituições do sistema educacional (ensino
superior e tecnológico); e, valor total em investimentos em ativos fixos (em 100 milhões
de yuans). TABELA . Taxonomia de avaliação para as capacidades produtivas, tecnológicas e
aprendizado institucional (2014) categoria A
categoria B
categoria C
capacidades produtivas
volume de produção número de modelos
número de plantas
capacidades tecnologicas
número de patentes
número de pessoal ocupado em
P&D in-house
número de instituições
próprias de P&D in-house
capacidades de
aprendizagem industrial
número de
instituições de P&D
número de instituições Ensino
Superior e Tecnologo
valor total investimentos
em ativos fixos
Fonte: Elaboração própria. 5 Para maiores informações consultar: SAICH, T. Reforms of China’s Science and Technology
Organizational System: Science and Technology in Post-Mao China (eds). D. Simon and M. Goldman. Cambridge: Cambridge University Press, p.69-88, 1989. categoria A
categoria B
categoria C
capacidades produtivas
volume de produção número de modelos
número de plantas
capacidades tecnologicas
número de patentes
número de pessoal ocupado em
P&D in-house
número de instituições
próprias de P&D in-house
capacidades de
aprendizagem industrial
número de
instituições de P&D
número de instituições Ensino
Superior e Tecnologo
valor total investimentos
em ativos fixos
Fonte: Elaboração própria. 5 Para maiores informações consultar: SAICH, T. Reforms of China’s Science and Technology
Organizational System: Science and Technology in Post-Mao China (eds). D. Simon and M. Goldman. Cambridge: Cambridge University Press, p.69-88, 1989. Fonte: Elaboração própria a partir de Oica-Fourin e Catarc, 2014. Tabela 11. Ilustração das capacidades produtivas de plantas automotivas chinesas
(1949-2013)
Empresas
número de plantas número de modelos
volume de produção anual
Total
166
531
18.208.000
SAIC
18
150
4.000.000
Geely
10
17
1.800.000
Beijing Automotive Industry Holding Co Ltd ( BAIC )
26
40
1.600.000
Dongfeng Motor Company Limited
8
74
1.600.000
FAW Group Corporation
7
86
1.600.000
Changan Automobile Company Limited
21
25
1.500.000
Chery
16
25
1.350.000
Jianghuai Automobile Corp. 3
29
1.130.000
Huashei Auto Group (Brilliance Auto)
4
39
800.000
Great Wall
30
8
800.000
GAC Changfeng Motor Co. 2
5
728.000
BYD
19
18
700.000
Hafei
2
15
600.000
Fonte: Elaboração própria com fontes das próprias montadoras para outubro de 2013. Fonte: Elaboração própria com fontes das próprias montadoras para outubro de 2013. Quanto o aumento de conhecimentos sobre a produção de automóvel da
montadoras chinesas impactou na evolução das decodificações de fontes de
conhecimentos via joint ventures com as maiores empresas multinacionais do setor,
pode ser analisado na ilustração abaixo que mostra as capacidades tecnológicas
construídas ao longo de 30 anos como demonstra Bell; Lall (1995) quando afirmam que
é possível com junção de esforços um País sair da semi industrializado a
industrialização absoluta com inovações secundarias efetivas, ou seja, aprendizado
continuo e interações com empresas mestras em skills para a construção de capacidades
tecnológicas em todos os setores industriais, alcançando os de alta performance
tecnológica, como os chineses assim bem efetuaram. Vejamos: TABELA 13. Avaliação das capacidades tecnológicas das montadoras chinesas (2013)
Empresas
Número de patentes
concedidas 2009-
2012
Invenção Modelo de
utilidade
Número pessoal
ocupado na P&D
interno de tempo
integral
Número de
instituições
próprias de
P&D interno
Chery
1.166
743
423
6.000
2
Geely
1.750
366
1.384
2.808
2
BYD
156
76
80
5.200
4
Huashei Auto Group (Brilliance Auto)
31
0
31
1.500
1
Great Wall
305
83
222
8.350
3
SAIC
336
162
174
5.500
2
GAC Changfeng Motor Co., Ltd
6
0
6
1.200
2
Beijing Automotive Industry Holding Co Ltd (BAIC)
25
6
19
4.500
3
Dongfeng Motor Company Limited¹
347
82
265
s.i. 0
FAW Group Corporation¹
49
33
16
s.i. 0
Changan Automobile Company Limited
920
428
492
4.000
13
Hafei¹
12
3
9
2.000
0
Jianghuai Automobile Corp. 86
12
74
s.i
3
Sub-Total
5.189
1.994
3.195
41.058
35
TOTAL DA INDÚSTRIA
37.256
15.770
21.486
s.i. s.i. ELA 13. Fonte: Elaboração própria a partir de Oica-Fourin e Catarc, 2014. Avaliação das capacidades tecnológicas das montadoras chinesas (2013) TABELA 15. Medição das capacidades institucionais (2010) Medição da capacidade de aprendizagem institucional
Nº de instituições de P&D na indústria de alta tecnologia (unidades)
3.184
Nº de instituições do sistema educacional, Nível Superior e Tecnólogo (unidades)
2.101
Valor Total de investimentos em ativos fixos (100 milhões de US$)
3.836
Fonte: China Statistical Yearbook (2011) Medição da capacidade de aprendizagem institucional
Nº de instituições de P&D na indústria de alta tecnologia (unidades)
3.184
Nº de instituições do sistema educacional, Nível Superior e Tecnólogo (unidades)
2.101
Valor Total de investimentos em ativos fixos (100 milhões de US$)
3.836 Empresas ¹estas empresas não realizam P&D in-house dentro de suas próprias instalações, elas usam os laboratórios de EMNs, com as quais
mantém-se em joint ventures. A empresa Hafei é uma subsidiária da empresa Changan, portanto seu pessoal ocupado em realizar a
P&D in-house, se utilizam dos laboratórios da Changan. s.i. significa: sem informação precisa. Fonte: Fontes das próprias montadoras para outubro de 2013 com acesso ao número de
patentes e modelos de utilidade do State Intelectual Property Office da R.P.C. Essa evolução possível foi pelo constante aprendizado das esferas de
coordenação criadas desde o Ministério da Ciência e Tecnologia nos anos 1950. A
Tabela abaixo demonstra esse crescimento: TABELA 15. Medição das capacidades institucionais (2010) Fonte: China Statistical Yearbook, (2011) Além desses números pode-se notar os crescentes dispêndios desde 2006 até
2010, no processo da internacionalização massiva de empresas do setor no Mundo no
gráfico abaixo: GRÁFICO 16. Economia de recursos internos chinesa (2006-2010) GRÁFICO 16. Economia de recursos internos chinesa (2006-2010)
Fonte: China Statistical Yearbook (2011). Fonte: China Statistical Yearbook (2011). A importância das instituições chinesas organizadas pelo Governo centralizado
na coordenação das forças matriciais, acumulação de capital, expansão de alianças com
investimentos e parcerias com o capital estrangeiro, e, apoio de um marco regulatório especifico para os setores chaves de desenvolvimento industrial, como a indústria
automobilística, levaram ao que se nota no gráfico abaico. GRÁFICO 4. Produção da indústria automobilística chinesa de 1955-2013
Fonte: CATARC (2009) e OICA (2014). GRÁFICO 4. Produção da indústria automobilística chinesa de 1955-2013 Fonte: CATARC (2009) e OICA (2014). Após a promulgação da segunda política automobilística chinesa houve muitas
operações de F&A no setor, como a compra da Shanghai Maple Guorun Automobile e
Volvo car, pela empresa independente Geely, compra da Xi’an Automobile pela
empresa chinesa BYD, formando a BYD Automobile que se especializou na produção
de automóveis elétricos, dentre outras operações semelhantes. A empresa Shanghai
Maple Guorun Automobile nasceu em 2000 em Fengjing, Shanghai. Esta empresa veio
da JVI entre a Dongfeng-PSA Peugeot Citroen desde 1992, e em 2002 foi adquirida
uma parte de seu capital social pela empresa Geely que em 2008 integralizou-o
incorporando esta empresa. Em 2013 a Shanghai Maple firmou uma JVI com uma
empresa de tecnologia, Kangdi Technologies Group, Inc., para o desenvolvimento de
capacidades produtivas e tecnológicas de automóveis elétricos, as quais esta empresa
automobilística, localizada na mesma província da Geely, Zhejiang, O Gráfico 8 mostra a evolução da produção do setor de 2003-2012, em que se
pode ver como mudaram as primeiras 4 posições do ranking da produção
automobilística no mundo. GRÁFICO 5. Principais produtores de automóveis no mundo (2003-2012) GRÁFICO 5. Principais produtores de automóveis no mundo (2003-2012) GRÁFICO 5. Principais produtores de automóveis no mundo (2003-2012)
Fonte: Elaboração própria a partir OICA-FOURIN, 2013; ANFAVEA, 2013. Fonte: Elaboração própria a partir OICA-FOURIN, 2013; ANFAVEA, 2013. A liderança atual chinesa na indústria automobilística mundial pode ser
visualizada na Tabela 1, logo a seguir. TABELA 1. Mercado e produção de automóveis no mundo (2014) Ranking
Vendas
Produção
(Em milhões de
unidades)
(Em milhões de
unidades)
1
China
21.984
China
22.117
2
Estados
Unidos
15.884
Estados
Unidos
11.046
3
Japão
5.376
Japão
9.630
4
Brasil
3.767
Alemanha
5.718
5
Alemanha
3.257
Coréia do
Sul
4.522
6
Índia
3.241
Índia
3.881
7
Rússia
2.950
Brasil
3.741
8
Reino
Unido
2.596
México
3.053 9
França
2.201
Tailândia
2.457
10
Canadá
1.780
Canadá
2.380
Demais países
21.257
18.755
TOTAL
85.394
87.300
Fonte: Elaboração própria a partir OICA-FOURIN, 2013; ANFAVEA, 2014. A China continua a consolidar sua força competitiva no setor frente às
montadoras de países desenvolvidos. No ranking da produção e vendas as três primeiras
colocações mostram onde se concentra a maior concorrência por mercados no mundo no
setor. Países como Itália, França, Espanha não aparecem no ranking da produção e
países como Canadá, Tailândia e México, ocupam lugar entre os 10 mais importantes na
produção automobilística, em 2014. Já com relação ao ranking de vendas de automóveis
entre os 10 mais importantes mercados para o setor, se destaca a ascensão da Rússia na
sétima colocação; e o Brasil aparece à frente da Alemanha. Considerações finais Em primeiro lugar, os resultados nos dão prova de que as empresas automobilísticas
chinesas cresceram em capacidades produtivas e tecnológicas influenciadas pelo
dinâmico processo de evolução das capacidades institucionais. Esta constatação foi
confirmada pelo trabalho da pesquisa exploratória de dados empíricos que demonstram
modo e o tempo das aquisições e transformações nas unidades produtivas do setor. Podemos apontar que as joint ventures foram responsáveis pela rápida evolução de
capacidades produtivas e tecnológicas que levou a resultados expressivos em vendas no
mercado Mundial. Em segundo lugar, a atualização tecnológica veio como consequência da estratégia
chinesa de por medidas de políticas públicas como as de 1994 e 2004 criar demanda e
oferta interna para substituir as importações de autopeças e estimular o desenvolvimento
das empresas chinesas locais, isto aumentou a competitividade baseando a concorrência
em inovação tecnológica. Elevando ainda mais a níveis cada vez mais altos as
capacidades tecnológicas das montadoras de origem chinesa. Se estas se elevam
concomitantemente também acompanha as capacidades produtivas, fazendo com que as
chinesas se internacionalizasse para mercados antes ocupados por as maiores empresas
do setor e ganhasse mercado dessas firmas, resultando em uma liderança inquestionável
no setor desde 2009 onde passou os Estados Unidos em produção de automóveis, e
também o mesmo desempenho competitivo se mostrou em vendas. A grande indústria
automobilística chinesa atua hoje na liderança das capacidades produtivas e
tecnológicas aumentando suas capacidades gestoras de nível institucional para a
produção de veículos elétricos a partir de 2009. Referencias Referencias ALFORD, W. The More Law, the More...? Measuring Legal Reform in the People’s
Republic of China. Centre for Research on Economic Development and Policy Reform,
Working Paper nº59, p.1-35, Stanford University, 2000. ALFORD, W. The More Law, the More...? Measuring Legal Reform in the People’s
Republic of China. Centre for Research on Economic Development and Policy Reform,
Working Paper nº59, p.1-35, Stanford University, 2000. ALTENBURG, Tilman; SCHMITZ, Hubert; STAMM, Andreas. Breakthrough? China’s and India’s Transition from Production to Innovation. World Development vol. 36, nº 2, p. 325–344, 2008. AMSDEN, A. H. The Rise of the “The Rest”: Challenges to the West from Late-
Industrializing Economies. Oxford University Press: Oxford, 2009. APCO WOLRDWIDE. Market Analysis Report: China’s Automotive Industry, EICI
novembro, 2010. BAKER, Mark; HYVONEN, Markus. The Emergence of the Chinese Automobile
Sector. Bulletin-Reserve Bank of Australian, p.23-30, Março, 2011. BELL, M; PAVITT, K. Technological Accumulation and Industrial Growth: Contrast
between Developed and Developing Countries. Industrial and Corporate Change, v.2,
n.2, p.157- 210, 1993. BELL, Martin. Technical Change in Infant Industries: a Review of the Empirical
Evidence. Brighton: SPRU, University of Sussex, 1982. BELL, Martin. Technological Learning and the Development of Production and
Innovative Capacities in the Industry and Infrastructure Sectors of the Least
Developed Countries: What Roles for ODA? The Least Developed Countries Report
2007, UNCTAD, 2007. BELL, Martin. Technology Transfer to Transition Countries: are there Lessons from the
Experience of the Post-War Industrializing Countries?. Dyker, D. (org.), The
Technology of Transition: Science and Technology Policies for Transition Countries,
Central European University Press, p.63-94, 1996. BELL, Martin; FIGUEIREDO, Paulo N. Innovation capability Building and learning
mechanisms in latecomers firms: recent empirical contributions and implications for
research. Canadian Journal of Development Studies, vol. 33, nº1, p.14-40, março, 2012. BREHM, Stefan; LUNDIN, Nannan. University-industry linkages and absorptive
capacity: an empirical Analysis of China’s manufacturing Industry. Economics of
Innovation and New Technology, vol. 21, nº8, p. 837-852, November, 2012. BUCKOW, J. The Transnational Dimension of Innovation in China. In: China Analysis
nº104. Discussion Paper, p. 1-40, julho, 2013. BUCKOW, Johannes. The transnational Dimension of Innovation in China. (Discussion
Paper). Research Group on the Political Economy of China, University of Trier,
Germany, China Analysis 104, julho 2013. CHINA
STATISTICAL
YEARBOOK
2011. Disponível
em:
<http://www.stats.gov.cn/tjsj/ndsj/2012/indexeh.htm> acessado em 04/03/2012. CHINA AUTOMOTIVE TECHNOLOGY AND RESEARCH CENTER – CATARC. Disponívelem:<http://www.catarc.ac.cn/ac_en/about/intro/A090201index_1.htm>
acessado em: 25/04/2012. CHU, Wan-Wen. How the Chinese government promoted a global automobile
industry. Referencias Industrial and Corporate Change, p. 1–42, Abril, 2011. COHEN, W.M.; LEVINTHAL, D.A. Innovation and learning: the two faces of R&D. Economic Journal. v.99, n. 397, p. 569-596, 1989. COHEN, Wesley M.; LEVINTHAL, Daniel A.. Absorptive Capacity: A New
Perspective on Learning and Innovation. Administrative Science Quarterly, vol. 35,
n° 01, Special Issue: Technology, Organizations, and Innovation, p. 128-152, março,
1990. COMMITTEE ON THE FUTURE OF PERSONAL TRANSPORT VEHICLES IN
CHINA, NATIONAL RESEARCH COUNCIL, NATIONAL ACADEMY OF
ENGINEERING, CHINESE ACADEMY OF ENGINEERING. Personal Cars and
China, 2003. Disponível em: <http://www.nap.edu/catalog/10491.html> acessado
em: 20/03/2012. CONSONI, F. L. Da Tropicalização ao projeto de Veículos: Um estudo das
competências de desenvolvimento de produtos nas montadoras de automóveis no Brasil. Tese de Doutorado. UNICAMP, Campinas-SP, p. 1-282, 2004. DOSI, G.; CASTALDI, C. Technical Change and Economic Growth: Some Lessons
from Secular Patterns and Some Conjectures on the Current Impact of ICT
Technologies. In: Seminar “Growth, Productivity and ICT”, ECLAC, Santiago do
Chile, Março, 2007. DUNNING, J. H. Multi-nationals, Technology and Competitiveness. London: Unwin
Hyman, 1988. DUNNING, J.H. Re-Evaluating the Benefits of Foreign Direct Investment”,
Transnational Corporations, nº3, v.1, p.27-51, 1994. DUTRÉNIT, Gabriela. Building Technological Capabilities in Latecomer Firms: A
Review
Essay. Science
Technology
Society,
2004. Disponível
em:
<http://sts.sagepub.com/content/9/2/209> Accessed in: 10/12/2012. FIGUEIREDO, P. N. Aprendizagem tecnológica e performance competitiva. Rio de
Janeiro: FGV, 2003. HARWIT, E. China’s Automobile Industry: Policies, Problems, and Prospect
M.E. Sharpe: Armonk, New York, 1995. HARWIT, E. China’s Automobile Industry: Policies, Problems, and Prospects. M.E. Sharpe: Armonk, New York, 1995. HARWIT, E. The Impact of WTO membership on the automobile industry in China. The China Quarterly, nº167, p.655–670, 2001. HE, Xiyou. Interaction between transnacional Corporations and industry clusters
in China: The Case of Automobile Industry. Kuchiki, A.; Tsuji, M. (eds.) The
Formation of Industrial Clusters in Asia and Regional Integration, IDE-JETRO, 2008,
p.1-30. HE, Yong. Investimento direto estrangeiro e desenvolvimento econômico na China. CNRS, França, 1995, p.195-225. FIGUEIREDO, P. N. Aprendizagem tecnológica e performance competitiva. Rio d
Janeiro: FGV, 2003. FIGUEIREDO, P. N. Industrial policy changes and firm-level technological capability
development: evidence from Northern Brazil. In: Meeting of Experts on FDI,
Technology and Competitiveness, UNCTAD, Geneva, 2007. FIGUEIREDO, P. N. Technological Learning and Competitive Performance,
Cheltenham, UK; Northampton. MA, USA: Edward Elgar Publishing, 2001. FOURIN China Automotive Intelligence. Análise mensal da indústria automotiv
chinesa. Nº3, p. 01-69, Março, 2009. FOURIN China Automotive Intelligence. Análise mensal da indústria automotiva
chinesa. Nº3, p. 01-69, Março, 2009. FREEMAN, C. & PEREZ, C. “Structural Crises of Adjustment, Business Cycle and
Investment Behaviour” In Dosi et alii (orgs) Technical Change and Economic Theory,
Pinter Publishers, Lond./N.Y, 1988. HAGEDOORN, J. Organizational Modes of Inter-Firm Cooperation and Technology
Transfer. In: Technovation, v.10, n.17-30, 1990. NAUGHTON, B.; YANG, D. L. (eds). Holding China Together: Diversity and
National Integration in the Era Post-Deng. Cambridge University Press: Cambridge,
2004. HE, Yong. Investimento direto estrangeiro e desenvolvimento econômico na China.
CNRS, França, 1995, p.195-225. HOLWEG, Matthias; LUO, Jianxi; OLIVER, Nick. The Past, Present and Future of
China’s automotive industry: A value chain perspective. Centre for competitiveness
and innovation, Cambridge-MIT, 2005. HUA, Gu Xiang. Current Situation, development prospects and relevant policies of
the Chinese auto industry. In: Development of the Automotive Sector in Selected
Countries of the Escap Region: Proceedings and country papers presented at the
Regional Consultative Meeting on Promotion of Intraregional Trade and Economic
Cooperation in the Automotive Sector. United Nations, 2001. JINCHANG, Qian; HU, Albert G. Z.; JEFFERSON, Gary H. R&D and Technology
Transfer: Firm-level evidence from Chinese Industry. The Review of Economics and
Statistics, v. 87(4), p. 780 –786, November/ 2005. JUDET, Pierre. Modernização das empresas chinesas e investimentos estrangeiros,
Université Pierre Mendes, France, Grenoble, 1995, p.233-248. LALL, Sanjaya. Industrial Policy: The Role of government in promoting industrial and
technological development. UNCTAD Review, p. 65-89, 1994. LALL, Sanjaya. Technological Capabilities and Industrialization. World Development,
Vol. 20, No. 2, pp. 165-186, 1992. LEE, Tzu-Li; WANG, Wei-Lin. Introduction to foreign direct investment Laws in the
People’s Republic of China, 2011, p.1-42. LEE, W. Y. Direct Foreign Investment and Technology Transfers. In: Industrial Policies
of Korea and Republic of China. Seul: Instituto de desenvolvimento Sul Coreano, série
de conferências 89-01, 1988. LI, Jing; ZHOU, Changhui. Dual-Edged Tools of Trade: How International Joint
Ventures Help and Hinder Capability Building of Chinese Firms. Journal of World
Business, 2003, p.1-41. LI, Zejian. Analysis of the Dynamic Relationship between the Emergence of
Independent Chinese Automobile Manufacturers and International Technology
Transfer in China’s Auto Industry. Annals of Business Administrative Science, v.8,
p. 21–42, 2009. NAM, Kyung-Min. Learning through the International Joint Venture: Lessons from the
Experience of China’s Automotive Sector. In: The Global Network for Economics of
Learning, Innovation, and Competence Building System, Globelics, 2010. NARULA, Rajneesh; NGUYEN, Quyen T.K. Emerging country MNEs and the role of
house countries: separating fact from irrational expectations. Working Papers Series
UNU- MERIT, 2011. NAUGHTON, B.; YANG, D. L. (eds). Holding China Together: Diversity and
National Integration in the Era Post-Deng. Cambridge University Press: Cambridge,
2004.
|
https://openalex.org/W4384930835
|
http://journals.pan.pl/Content/124245/PDF-MASTER/aoa.2022.142009.pdf
|
English
| null |
About Unusual Diffraction and Thermal Self-Action of Magnetosonic Beam
|
Archives of Acoustics
| 2,023
|
cc-by-sa
| 5,883
|
About Unusual Diffraction and Thermal Self-Action of Magnetosonic Beam Anna PERELOMOVA Gdansk University of Technology, Faculty of Applied Physics and Mathematics
Gdansk, Poland; e-mail: anna.perelomova@pg.edu.pl
(received September 7, 2021; accepted April 11, 2022) The dynamics of slightly diverging two-dimensional beams whose direction forms a constant angle θ with the
equilibrium straight magnetic strength is considered. The approximate dispersion relations and corresponding
links which specify hydrodynamic perturbations in confined beams are derived. The study is dedicated to the
diffraction of a magnetosonic beam and nonlinear thermal self-action of a beam in a thermoconducting gaseous
plasma. It is shown that the divergence of a beam and its thermal self-action is unusual in some particular cases
of parallel propagation (θ = 0) and has no analogues in the dynamics of the Newtonian beams. The nonlinear
attenuation of Newtonian beams leads to their defocusing in gases, whereas the unusual cases correspond to
the focusing in a presence of magnetic field. The examples of numerical calculations of thermal self-action of
magnetoacoustic beams with shock fronts are considered in the usual and unusual cases of diffraction concerning
stationary and non-stationary self-action. It is discovered that the diffraction is more (θ = 0) or less (θ = π/2)
manifested as compared to that of the Newtonian beams. The beams which propagate oblique to the magnetic
field do not reveal diffraction. The special case, when the sound and Alfvénic speeds are equal, is discussed. This magnetosonic beams incorporate acoustic and Alfvénic properties and do not undergo diffraction in this
particular case. Keywords: non-linear magnetoacoustics; diffraction of beams; acoustic thermal self-action; magnetohydrody-
namics. ywords: non-linear magnetoacoustics; diffraction of beams; acoustic thermal self-action; magnetohydrody Copyright © 2022 A. Perelomova
This is an open-access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 Internationa
(CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/) which permits use, distribution, and reproduction in an
medium, provided that the article is properly cited, the use is non-commercial, and no modifications or adaptations are made Archives of Acoustics Archives of Acoustics Vol. 47, No. 3, pp. 355–362 (2022), doi: 10.24425/aoa.2022.142009 Research Paper 2. Equations of MHD flow The dynamics of a gas is governed by the ideal
MHD equations. That means that the spatial and tem-
poral scales of perturbations in a flow must be much
larger than gyro-kinetic scales. The model imposes
equal temperature of ions and electrons and makes
use of one-fluid perfectly electrically conducting gas. The set of initial partial derivatives’ equations con-
sists of the continuity equation, momentum equation,
energy balance equation, and electrodynamic equa-
tions (Freidberg, 1987; Krall, Trivelpiece, 1973;
Callen, 2003): (2) ∂ρ
∂t + ∇⋅(ρv) = 0,
ρ(∂v
∂t + (v ⋅∇)v) = −∇p + 1
µ0
(∇× B) × B, (1) ∂p
∂t + (v ⋅∇)p + γp(∇⋅v) = 0,
(1) ∂p
∂t + (v ⋅∇)p + γp(∇⋅v) = 0, ∂p
∂t + (v ⋅∇)p + γp(∇⋅v) = 0, where ̃
N = (N1,...,N8)T is a vector which consists of
quadratically nonlinear terms. Equations (2) contain
the terms of order M 1 (the left-hand side), M 2 (the
right-hand side) in the series expansion in a small pa-
rameter, the magnetosonic Mach number M (M equals
the ratio of characteristic magnitude of velocity to the
speed of magnetosonic perturbations). The dispersion
relations specify all kinds of wave and non-wave motion
of small magnitudes in a plasma, that is, in the case of
insignificant nonlinearity. They follow from the linea-
rised version of Eqs (2), if one assumes that all per-
turbations are proportional to exp(iωt −ikxx −ikzz)
(k = (kx,0,kz) is the wave vector). They are in fact
roots of the dispersion equation: ∂B
∂t = ∇× (v × B), ∇⋅B = 0, where p, ρ, v, B, are hydrodynamic pressure and mass
density of a plasma, its velocity, the magnetic field,
µ0 is the magnetic permeability of a free space, and
γ denotes the ratio of specific isobaric heat capacity
and specific isochoric heat capacity, γ = CP /CV . The
third equation in fact incorporates the continuity and
the energy balance equation and relies on the internal
energy for an ideal gas,
p
ρ(γ−1). The fourth equation
in the set is the ideal induction equation, and the fifth
one ensures the solenoidal character of B (the Maxwell
equation). Many examples of plasmas such as Solar at-
mosphere, Earth’s magnetosphere, neutron star mag-
netospheres are described reasonably well by the MHD
system of equations. 1. Introduction axis of a beam’s propagation because they strengthen
proportionally to the squared magnitude. In particu-
lar, the nonlinear transfer of energy into the entropy
mode is stronger in the par-axial area. That leads to
the larger heating in the par-axial area and forma-
tion of thermal lenses. In turn, thermal lenses have
impact on the propagation of a beam since the local
sound speed depends on the equilibrium temperature. The MHD (magnetohydrodynamic) beams and the re-
lated nonlinear phenomena reveal a wide variety of be-
haviour in view of strong dependence on the direction
of the magnetic field, diversity of wave modes and equi-
librium parameters of a plasma. Particularly, the pa-
rameter of nonlinearity and damping coefficient due
to thermal conduction are variable (Chin et al., 2010;
Nakariakov et al., 2000). The divergence is inherent to the flows exceed-
ing one dimension. Two- and three-dimensional beams
with initially planar fronts propagate usually with in-
creasing of their characteristic width. Thus, a beam’s
energy and impulse spread over larger cross-sections. Diffraction is more pronounced in the cases when a ra-
tio of the transducer characteristic length to the wave
length is small. Hence, it is of great importance in
medical and technical applications, where accurate
evaluation of the actual focus and excess tempera-
ture in the focal zone is the key issue (Yufeng, 2015;
Duck, 2002). Position of the actual focus differs from
the geometric one due to diffraction and nonlinear ef-
fects following a beam. The nonlinear shift of the focus
has been explained and described for the first time in
(Rudenko, Sapozhnikov, 2004). The nonlinear phe-
nomena are also associated with inhomogeneous distri-
bution of magnitude of wave perturbations across the This study considers diffraction of a magnetosonic
beam in dependence of orientation of the axis of prop-
agation and the equilibrium parameters of a plasma. It turns out that the obliquely propagating beam al- Archives of Acoustics – Volume 47, Number 3, 2022 356 turbations are superscripted by ′. The constant equi-
librium magnetic field is aligned along axis z, so that
B0 = (0,0,B0). The bulk flow is absent, v0 = 0. The
MHD equations may be written in the following form
(McLaughlin et al., 2011): most does not diverge. As for the case of parallel pro-
pagation, the diffraction term may take an unusual
sign. 1. Introduction These features probably have no analogues in the
wave theory of confined beams. As for the perpendi-
cular propagation, it occurs commonly but with weaker
divergence compared to that in the Newtonian beams. ∂ρ′
∂t + ρ0 (∂vx
∂x + ∂vz
∂z ) = N1,
∂vx
∂t + 1
ρ0
∂p
∂x −B0
ρ0µ0
(∂Bx
∂z −∂Bz
∂x ) = N2,
∂vy
∂t −B0
ρ0µ0
∂By
∂z = N3,
∂vz
∂t + 1
ρ0
∂p′
∂z = N4,
∂p′
∂t + γp0 (∂vx
∂x + ∂vz
∂z ) = N5,
∂Bx
∂t −B0
∂vx
∂z = N6,
∂By
∂t −B0
∂vy
∂z = N7,
∂Bz
∂t + B0
∂vx
∂x = N8,
(2) 2. Equations of MHD flow ∂2
∂t2 (∂2ϕ
∂t2 −C2
A∆ϕ) −c2
0∆(∂2ϕ
∂t2 −C2
A
∂2ϕ
∂z2 ) = 0, (4) where where ∆= ( ∂2
∂x2 + ∂2
∂z2 ). 3. Quasi-planar dynamics Let us consider weak diffraction of small magnitude
perturbations in a beam which is reasonably directed
along axis x1 and introduce the small parameter m
responsible for its divergence. Figure 1 explains the
geometry of a flow. This is the case of θ = 0. The leading order disper-
sion relations for the magnetosonic modes are shown
in Table 1. Table 1. Leading order dispersion relations. c0 ≠CA
±(CAkz +
C3
Ak2
x
2(C2
A−c2
0)kz )
±(c0kz +
c3
0k2
x
2(c2
0−C2
A)kz )
c0 = CA
±(c0kz −c0kx
2
+
3c0k2
x
8kz ) ±(c0kz + c0kx
2
+
3c0k2
x
8kz ) Table 1. Leading order dispersion relations. c0 ≠CA
±(CAkz +
C3
Ak2
x
2(C2
A−c2
0)kz )
±(c0kz +
c3
0k2
x
2(c2
0−C2
A)kz )
c0 = CA
±(c0kz −c0kx
2
+
3c0k2
x
8kz ) ±(c0kz + c0kx
2
+
3c0k2
x
8kz ) Table 1. Leading order dispersion relations. θ
B0
x1
x2
Direction of propagation
z
x
k
k⟂
k
Fig. 1. Geometry of a flow. θ
B0
x1
x2
Direction of propagation
z
x
k
k⟂
k
Fig. 1. Geometry of a flow. The modes differ by the relations between specific
perturbations. These relations unambiguously deter-
mine modes along with the dispersion relations. For
all these modes, vy = 0, B′
y = 0. Fig. 1. Geometry of a flow. The component of the wave vector k parallel to the
direction of propagation is k∣∣(it is of order 1), and
the perpendicular component is k⊥(it is of order √m),
so as: 3.1.1. Case c0 ≠CA 2. Equations of MHD flow The exceptions are the problems
which relate to kinetic effects, magnetic reconnection,
some laboratory plasmas, weakly ionised plasmas, cos-
mic rays, molecular clouds, and some other cases. The
equation of state for an ideal gas is valid besides ap-
plications dealing with very cool and dense plasmas. ω2(ω2 −C2
A cos2(θ)k2
z)(c2
0(k2
x + k2
z)(C2
Ak2
z −ω2)
+ω2(ω2 −C2
A(k2
x + k2
z))) = 0, (3)
where
c0 =
√γp0
ρ0
=
√
(γ −1)CP T0 ω2(ω2 −C2
A cos2(θ)k2
z)(c2
0(k2
x + k2
z)(C2
Ak2
z −ω2)
+ω2(ω2 −C2
A(k2
x + k2
z))) = 0, (3) where c0 =
√γp0
ρ0
=
√
(γ −1)CP T0 denotes the acoustic speed in unmagnetised gas in
equilibrium, and CA =
B0
√ρ0µ0 The two-dimensional geometry of a flow is con-
sidered following Botha et al. (2000), McLaughlin
et al. (2011). This assumes dependence of all perturba-
tions on x and z. All equilibrium quantities are treated
as constants and subscripted by 0, and the MHD per- is the Alfvén speed. Among roots of Eq. (3), there are
two Alfvén (non-acoustic) modes of different directions 357 A. Perelomova – About Unusual Diffraction and Thermal Self-Action of Magnetosonic Beam of propagation (ω2 −C2
A cos2(θ)k2
z = 0) and two sta-
tionary modes (ω2 = 0). Four roots of Eq. (3) describe
the magnetosonic modes, fast and slow, of different di-
rection of propagation. The magnetosonic beams are
of interest in this study. The dynamic equation for
any non-zero wave perturbation ϕ(x,z,t) follows from
Eq. (3): where a∗= c8
0 + c4
0C4
A + C8
A −2c2
0C2
A(c4
0 + C4
A)cos(2θ)
+ c4
0C4
A cos(4θ). The case of the parallel propagation (θ = 0, k∣∣= kz,
k⊥= kx) imposes two roots of Eq. (6), C = CA and
C = c0. If CA = c0, the roots of dispersion relation (3)
are degenerate and the denominator C4 −c2
0C2
A equals
zero. This case should be considered individually. We
start with the cases of wave vector parallel or perpen-
dicular to the equilibrium magnetic field. These cases
impose zero G. ∂2
∂t2 (∂2ϕ
∂t2 −C2
A∆ϕ) −c2
0∆(∂2ϕ
∂t2 −C2
A
∂2ϕ
∂z2 ) = 0, (4)
where
∆= ( ∂2
∂x2 + ∂2
∂z2 ). 3.1.2. Case c0 = CA The links of perturbations inherent to the disper-
sion relation ω = ±(c0kz −c0kx
2
+ 3c0k2
x
8kz ) (this is the
case CA = c0), take the forms: where where ε∣∣= γ + 1
2 is the parameter of nonlinearity, is the parameter of nonlinearity, vx = ±(−c0ρ′
ρ0
+ c0
2ρ0 ∫dz ∂ρ′
∂x + c0
4ρ0 ∫dz∫dz ∂2ρ′
∂x2 ),
vz = ±(c0ρ′
ρ0
+ c0
2ρ0 ∫dz ∂ρ′
∂x −c0
8ρ0 ∫dz∫dz ∂2ρ′
∂x2 ),
p′ = c2
0ρ′,
(11)
B′
x = B0
ρ0
ρ′ −5B0
8ρ0 ∫dz∫dz ∂2ρ′
∂x2 ,
B′
z = −B0
ρ0 ∫dz ∂ρ′
∂x . vx = ±(−c0ρ′
ρ0
+ c0
2ρ0 ∫dz ∂ρ′
∂x + c0
4ρ0 ∫dz∫dz ∂2ρ′
∂x2 ),
vz = ±(c0ρ′
ρ0
+ c0
2ρ0 ∫dz ∂ρ′
∂x −c0
8ρ0 ∫dz∫dz ∂2ρ′
∂x2 ),
′
2
′
(11) D2
∣∣,0 =
c2
0
∣c2
0 −C2
A∣=
βγ
∣βγ −2∣ is the squared parameter responsible for diffraction,
and
2 is the squared parameter responsible for diffraction,
and
2 (11) β = 2
γ
c2
0
C2
A B′
x = B0
ρ0
ρ′ −5B0
8ρ0 ∫dz∫dz ∂2ρ′
∂x2 , is the plasma-β which reflects the ratio of hydrostatic
and magnetic pressures. Equation (8) recalls the fa-
mous Khokhlov-Zabolotskaya (KZ) equation for an acous-
tic pressure in a slightly diverging beam in an ideal gas
(Kuznetsov, 1971): is the plasma-β which reflects the ratio of hydrostatic
and magnetic pressures. Equation (8) recalls the fa-
mous Khokhlov-Zabolotskaya (KZ) equation for an acous-
tic pressure in a slightly diverging beam in an ideal gas
(Kuznetsov, 1971): B′
z = −B0
ρ0 ∫dz ∂ρ′
∂x . The case c0 = CA is especial, it is not a limit of the
general case and represents the type of motion com-
bining Alfvén and acoustic properties. In particular,
vx and vz are of the same order. Operating on the
variables τ = t −z/c0, mz, √mx, one concludes that
there are no physically meaningful perturbations in
this form. Any perturbation of the form ϕ(τ,mz,mx)
is a solution to Eq. (4). The conclusion is that there is
no leading order diffraction in this case and the dy-
namic equation for the vx is as follows: ∂
∂τ (∂p′
∂z −
ε∣∣
ρ0c3
0
p′ ∂p′
∂τ ) = c0
2
∂2p′
∂x2 . 3.1.1. Case c0 ≠CA This case is purely 358 Archives of Acoustics – Volume 47, Number 3, 2022 acoustic in the absence of the magnetic field with the
non-zero leading order perturbations as follows: transform to the only link recalling that for the Alfvén
modes (B′
y = ∓B0
CA vy): B′
x = ∓B0
CA
vx. p′ = c2
0ρ′ = c0ρ0vz. The relations of perturbations specify modes uniquely. The relations of perturbations specify modes uniquely. They reveal the difference between modes and may in-
dicate the type of a motion on a pair of the disper-
sion relations. To be specific, a wave propagating in
the positive direction of axis z is considered. Any non-
zero perturbation inherent to this mode is supposed to
be a function of the retarded time τ = t −z/c0, mz,
√mx. This choice of slow scale suggests that the spa-
tial variations occur more slowly along the axis z of
a beam than across the beam from the point of view
of an observer who moves at the speed c0 along the
axis of a beam (Rudenko, Soluyan, 1977; Hamil-
ton, Blackstock, 1988). Assuming the Mach num-
ber M and m of the same order, taking into account
nonlinear terms N1,...,N8, discarding terms of the high
order in smallness and transforming equation from the
slow scale back to x, z yields an equation governing
the magnetosonic pressure: It has a property which differentiates it from the Alfvén
modes. Namely, this mode reveals divergence while the
Alfvén mode refers to exact dispersion relations ω =
±CAkz and behaves like a planar wave. It has a property which differentiates it from the Alfvén
modes. Namely, this mode reveals divergence while the
Alfvén mode refers to exact dispersion relations ω =
±CAkz and behaves like a planar wave. The non-acoustic wave may be extracted from
Eq. (4) by means of making use of the set of variables
τ = t −z/CA, mz, √mx. One arrives at the dynamic
equation: ∂
∂τ (∂vx
∂z −
3
2C2
A
vx
∂vx
∂τ ) =
⎧⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎩
D2
∣∣,ACA
2
∂2vx
∂x2 ,
c0 < CA,
−
D2
∣∣,ACA
2
∂2p′
∂x2 ,
c0 > CA,
(10)
where (10) where D2
∣∣,A =
C2
A
∣c2
0 −C2
A∣=
2
∣βγ −2∣. 3.1.1. Case c0 ≠CA In particular, the links inherent to the dispersion
relations for acoustic beams, ω = ±(c0kz +
c3
0k2
x
2(c2
0 −C2
A)kz
), kz = k∣∣cos(θ) −k⊥sin(θ),
kx = k∣∣sin(θ) + k⊥cos(θ). All subsequent formulas are leading order; they include
the terms up to m1 in the power series. By expanding
Eq. (3) in the series and collecting the leading order
terms, one arrives at the dispersion relation: All subsequent formulas are leading order; they include
the terms up to m1 in the power series. By expanding
Eq. (3) in the series and collecting the leading order
terms, one arrives at the dispersion relation: take the form: vx = ±
c3
0
(c2
0 −C2
A)ρ0 ∫dz ∂ρ′
∂x ,
vz = ±(c0ρ′
ρ0
−
c3
0
2(c2
0 −C2
A)ρ0 ∫dz∫dz ∂2ρ′
∂x2 ),
p′ = c2
0ρ′,
B′
x = −
c2
0B0
(c2
0 −C2
A)ρ0 ∫dz ∂ρ′
∂x ,
B′
z =
c2
0B0
(c2
0 −C2
A)ρ0 ∫dz∫dz ∂2ρ′
∂x2 . (7) vx = ±
c3
0
(c2
0 −C2
A)ρ0 ∫dz ∂ρ′
∂x ,
vz = ±(c0ρ′
ρ0
−
c3
0
2(c2
0 −C2
A)ρ0 ∫dz∫dz ∂2ρ′
∂x2 ), ω = ±(Ck∣∣+ Gk⊥+ D2C
2
k2
⊥),
(5) (5) where C is the positive root of the equation: p′ = c2
0ρ′, (7) C4 −C2(c2
0 + C2
A) + c2
0C2
A cos2(θ) = 0. (6) (6) B′
x = −
c2
0B0
(c2
0 −C2
A)ρ0 ∫dz ∂ρ′
∂x ,
B′
z =
c2
0B0
(c2
0 −C2
A)ρ0 ∫dz∫dz ∂2ρ′
∂x2 . C is a speed of propagation of both fast or slow modes,
and G = c2
0C2
AC cos(θ)sin(θ)
C4 −c2
0C2
A cos2(θ) ,
D2 =
2(c2
0 + C2
A+
a∗
(C4−c2
0C2
A cos2(θ))3 C6)−
C2c4
0C4
A sin2(2θ)
(C4−c2
0C2
A cos2(θ))2
4C2k∣∣
, G = c2
0C2
AC cos(θ)sin(θ)
C4 −c2
0C2
A cos2(θ) , C
c0CA cos (θ)
D2 =
2(c2
0 + C2
A+
a∗
(C4−c2
0C2
A cos2(θ))3 C6)−
C2c4
0C4
A sin2(2θ)
(C4−c2
0C2
A cos2(θ))2
4C2k∣∣
, The terms including partial derivative with respect to
x are of order √m, and these including the second
order derivative are of order m1. 3.1.1. Case c0 ≠CA Hence, the divergence may be anomalous in depen-
dence on the ratio of CA and c0 and the kind of a wave
mode. This relates to the signs minus in the right-hand
sides of Eqs (8) and (10) which reflect diffraction. ∂
∂τ (∂p′
∂z −
ε∣∣
ρ0c3
0
p′ ∂p′
∂τ )=
⎧⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎩
D2
∣∣,0c0
2
∂2p′
∂x2 ,
c0 > CA,
−
D2
∣∣,0c0
2
∂2p′
∂x2 ,
c0 < CA,
(8) (8) 3.1.2. Case c0 = CA 3.2. Perpendicular wave vector and the equilibrium
magnetic field which equals
1
2T0 (T0 designates the equilibrium tem-
perature). Some damping mechanism along with non-
linearity is a necessary condition for nonlinear transfer
of wave energy into the non-wave entropy mode. We
consider exclusively thermal conduction χ among these
mechanisms. The system of equations which describes
nonlinear thermal self-action of a beam, is as follows: In the case θ = π/2, k∣∣= kx, k⊥= kz, one arrives at
the leading order dispersion relations: ω = ±(C⊥kx + (C4
⊥−c2
0C2
A)k2
z
2C3⊥kx
),
C⊥=
√
c2
0 + C2
A. (13) (13) C⊥=
√
c2
0 + C2
A. ∂
∂τ (∂p′
∂z −δT ′
c0
∂p′
∂τ −γ + 1
2ρ0c3
0
p′ ∂p′
∂τ
−(γ −1)χ
2CP c3
0ρ0
∂2p′
∂τ 2 ) = ±
D2
∣∣,0c0
2
∂2p′
∂x2 ,
(15)
∂T ′
∂t −
χ
ρ0CP
∂2T ′
∂x2 = c0
Cp
Fms,
(16) A perturbation in pressure in the mode propagating
in the positive direction of axis x is described by the
dynamic equation (we seek perturbations as functions
of τ = t −x/C⊥, mx, √mz and account for nonlinear
distortion of a wave): A perturbation in pressure in the mode propagating
in the positive direction of axis x is described by the
dynamic equation (we seek perturbations as functions
of τ = t −x/C⊥, mx, √mz and account for nonlinear
distortion of a wave): (15) ∂T ′
∂t −
χ
ρ0CP
∂2T ′
∂x2 = c0
Cp
Fms,
(16) (16) ∂
∂τ (∂p′
∂x −
ε⊥
ρ0C3⊥
p′ ∂p′
∂τ ) = D2
⊥C⊥
2
∂2p′
∂z2 ,
(14) where Fms designates the averaged over period mag-
netosonic force: (14) Fms = (γ −1)χ
CP c5
0ρ3
0
⟨(∂p′
∂τ )
2
⟩. (17) where where (17) D2
⊥= c4
0 + C4
A + c2
0C2
A
(c4
0 + C4
A)2
= 1 −
2βγ
(βγ + 2)2 . T ′ denotes perturbation of temperature which in the
case of periodic excitation satisfies the inhomogeneous
diffusion Eq. (16). The acoustic force which is valid
for all kinds of exciters has been derived by (Leble,
Perelomova, 2018). Equation (15) resembles Eq. (1)
(Rudenko, Sapozhnikov, 2004) but differs by the
right-hand part which may be negative and includes
the scaling coefficient D2
∣∣,0. 3.2. Perpendicular wave vector and the equilibrium
magnetic field The parameter of nonlinearity ε⊥depends on the equi-
librium parameters of a plasma (Chin et al., 2010;
Nakariakov et al., 2000): ε⊥= 3C2
A + (γ + 1)c2
0
2C2⊥
= 9 + 4γβ
8 + 4γβ ε∣∣. ∣∣,0
In the cases when nonlinear effects dominate over
diffraction, the “fast time” may be eliminated in the
frames of geometric acoustics. The subsequent analysis
which shows the pecularities of anomalous divergence
will be done for the example of cylindrically symmetric
beam, since the theory is well developed in this partic-
ular case (Rudenko, Sapozhnikov, 2004). Introduc-
ing new variables R =
r
D∣∣,0 and the eikonal ψ(x,r) (r is
the transversal to the direction of a beam coordinate)
and substituting: Equation (14) may be rearranged into the KZ equa-
tion by substitution X =
x
D⊥. Since
3
4 < D2
⊥< 1, the
divergence is usual but less manifested in the case of
a plasma affected by a magnetic field. All conclusions
concerning linear and nonlinear dynamics of perturba-
tions in an acoustic beam can be generalised in the
case of a plasma affected by a magnetic field in view of
the transversal scaling. Equation (14) may be rearranged into the KZ equa-
tion by substitution X =
x
D⊥. Since
3
4 < D2
⊥< 1, the
divergence is usual but less manifested in the case of
a plasma affected by a magnetic field. All conclusions
concerning linear and nonlinear dynamics of perturba-
tions in an acoustic beam can be generalised in the
case of a plasma affected by a magnetic field in view of
the transversal scaling. 3.1.2. Case c0 = CA (9) (9) Equation in the upper row of set (8) may be rearranged
into the KZ equation by the substitution X =
x
D∣∣,0 . Since D∣∣,0 > 1, the divergence is more pronounced in
the case of a plasma affected by a magnetic field. In
the planar case ( ∂
∂x ≡0), the links ω = ±(CAkz +
C3
Ak2
x
2(C2
A −c2
0)kz
) ∂vx
∂z −γ
2c2
0
vx
∂vx
∂τ = 0. (12) (12) 359 A. Perelomova – About Unusual Diffraction and Thermal Self-Action of Magnetosonic Beam It describes a perturbation in a planar wave and has
unusual parameter of nonlinearity different from that
in the pure acoustic case. thermal self-defocusing specific for beams in the gases
due to the positive thermal coefficient: δ = 1
c0
∂c0
∂T ∣
p
, 3.2. Perpendicular wave vector and the equilibrium
magnetic field 4.1. Non-stationary self-focusing In the frames of geometrical acoustics, one sets the
right-hand side of Eq. (18) zero and arrives at the sys-
tem: In the case of small thermal conductivity, when the
diffusion term in Eq. (16) may be neglected, a variation
in temperature takes the form: ∂p′
∂z −γ + 1
2ρ0c3
0
p′ ∂p′
∂θ −(γ −1)χ
2CP c3
0ρ0
∂2p′
∂θ2 ± ∂p′
∂R
∂ψ
∂R ±p′ ∂2ψ
∂R2 = 0,
(19)
2 (19) ∂T ′
∂t = (γ + 1)ω
3πc4
0ρ2
0CP
A3. ∂ψ
∂z ± 1
2 ( ∂ψ
∂R)
2
+ δT ′ = 0. The function f follows from Eqs (22) and (23): The upper sign in the previous and next formulas de-
signates the normal diffraction, and the lower sign con-
cerns the unusual case. Equation (19) describes among
other formation and propagation of a sawtooth wave
with a finite shock front with the magnitude A and the
frequency ω, so as: f 5 ⎛
⎜
⎝
1 +
Z
∫
0
dy
f(y,Θ)
⎞
⎟
⎠
4
∂
∂Θ ( 1
f
∂2f
∂Z2 ) = ±1,
(24) (24) where the following dimensionless quantities are intro-
duced: p′(z,R,θ) = A(z,R)
⋅(−ωθ
π + tanh((γ + 1)CP
2(γ −1)χ A(z,R)θ)), Z = z
zs
,
Θ = t
t0
,
t0 = (γ + 1)ωρ0CP a2
0T0
4πc2
0P0
. −π
ω ≤θ ≤π
ω . (20) −π
ω ≤θ ≤π
ω . (20) The boundary and initial conditions for initially non-
focused beam are as follows: The boundary and initial conditions for initially non-
focused beam are as follows: Substituting Eq. (20) into (19) and (17) and letting
χ →0 (this makes the wave saw-tooth shaped) results
in equations: f(Z = 0,Θ) = f(Z,Θ = 0) = 1,
∂f
∂Z (Z = 0,Θ) = 0. ∂A
∂z + A2
P0zs
± ∂A
∂R
∂ψ
∂R ± A ∂2ψ
∂R2 = 0, Equation (24) recalls the dynamic equation (Eq. (22)
in Rudenko, Sapozhnikov, 2004) but has a different
meaning. The sign plus corresponds to the normal de-
focusing in gases, and the sign minus corresponds to
anomalous divergence. Hence, the unusual divergence
corresponds to the focusing which specifies majority of
liquids (apart from water). (21) ∂R2
Fms = (γ + 1)ω
3πc5
0ρ3
0
A3,
(21) where where zs = 2πc3
0ρ0
ωP0 4. Thermal self-action of sound beams p′ = (x,r,θ = τ −ψ(x,r)/c0), The magnitude of a magnetosonic pressure is larger
in the vicinity of a beam’s axis than on the perip-
hery. That leads to more effective nonlinear excitation
of the entropy mode in this area, that is, to magne-
toacoustic heating. Enlargement in temperature en-
tails a change in the local speed of sound propagation. Some kind of a thermal lense forms in the vicinity of
axis of a beam. In turn, these uneven variations dis-
tort the wave front. In order to study unusual features
of perturbations which associate with the anomalous
divergence, we focus on the parallel propagation with
the speed c0. Usually, a magnetosonic beam undergoes one arrives at the limit of short wavelengths small in
comparison with the scale of thermal inhomogeneties
to the equation: ∂
∂θ (∂p′
∂z −γ + 1
2ρ0c3
0
p′ ∂p′
∂θ
−(γ −1)χ
2CP c3
0ρ0
∂2p′
∂θ2 ± ∂p′
∂R
∂ψ
∂R ± p′ ∂2ψ
∂R2
−1
c0
∂p′
∂θ (∂ψ
∂z ± 1
2 ( ∂ψ
∂R)
2
+ δT ′)) = ±c0
∂2p′
∂R2 . (18) ∂
∂θ (∂p′
∂z −γ + 1
2ρ0c3
0
p′ ∂p′
∂θ −(γ −1)χ
2CP c3
0ρ0
∂2p′
∂θ2 ± ∂p′
∂R
∂ψ
∂R ± p′ ∂2ψ
∂R2 −1
c0
∂p′
∂θ (∂ψ
∂z ± 1
2 ( ∂ψ
∂R)
2
+ δT ′)) = ±c0
∂2p′
∂R2 . (18) −1
c0
∂p′
∂θ (∂ψ
∂z ± 1
2 ( ∂ψ
∂R)
2
+ δT ′)) = ±c0
∂2p′
∂R2 . (18) (18) 360 Archives of Acoustics – Volume 47, Number 3, 2022 4.2. Stationary self-focusing is the shock formation distance, and P0 is the ini-
tial magnitude of magnetosonic pressure at the axis of
a beam. Equation (21) may be resolved by assuming
the parabolic wave form (where f(z,t) is some func-
tion): is the shock formation distance, and P0 is the ini-
tial magnitude of magnetosonic pressure at the axis of
a beam. Equation (21) may be resolved by assuming
the parabolic wave form (where f(z,t) is some func-
tion): We consider stationary temperature field in Eq. (16),
so that ∂T ′
∂t = 0. An equation for the unknown function
f takes the form: ⎛
⎜
⎝
1 + Π
Z
∫
0
dy
f(y)
⎞
⎟
⎠
3
f 2 d2f
dZ2 = ±Π3,
(25) ψ(z,R,t) = φ(z,t) ± R2
2
∂
∂z lnf(z,t) (25) with the solution: with the solution: A =
P0
f(z,t)Φ(
R
a0f(z,t))
⋅⎛
⎝1 + 1
zs
Φ(
R
a0f(z,t))
z
∫
0
dy
f(y,t)
⎞
⎠, where where z0 =
π2c5
0ρ0
3T0χ(γ + 1)2ω2 ,
Z = z
z0
,
Π = z0
zs
. The boundary conditions for an initially unfocused
beam are: where a0 is the initial beam radius, and Φ is responsible
for the pressure transversal distribution, A(z = 0,R) =
P0Φ(R/a0). The eikonal equation takes the form: f(Z = 0) = 1,
df
dZ (Z = 0) = 0. ± ∂2f
∂z2 = δT2f,
(22) (22) Hence, the case of anomalous divergence may be con-
sidered as usual with the normal divergence but with
the negative coefficient, −δ (Eq. (20) in (Rudenko,
Sapozhnikov, 2004)). In this case, unusual focusing
of a beam in a gaseous plasma occurs. This corresponds where T2 is the coefficient in the transversal expansion: where T2 is the coefficient in the transversal expansion: T ′ = T0 −R2
2 T2(z,t). (23) (23) (23) A. Perelomova – About Unusual Diffraction and Thermal Self-Action of Magnetosonic Beam 361 to the sign minus on the right of Eq. (25). For a Gaus-
sian at Z = 0 beam, Φ(ξ) = exp(−ξ2), and the charac-
teristic width of a beam is defined as the transversal
distance at which the peak pressure is less e times its
value at the axis: counterparts in the wave theory. The links of pertur-
bations which specify every mode on par with disper-
sion relations in the cases of parallel or perpendicular
propagation are derived. 4.2. Stationary self-focusing They depend on the equilib-
rium parameters of a plasma. In general, these links
include integral operators and may be used as indica-
tors of individual kinds of plasma motion. The magne-
tosonic modes are p-modes, that is, a perturbation in
pressure is not zero for these modes. It is discovered
that the case C = c0 = CA is very special. The links
of perturbations combine properties of acoustic and
magnetic modes, Eqs (11). A beam does not undergo
diffraction and behaves as a planar wave with especial
parameter of nonlinearity γ/2. a
a0
= f
¿
Á
Á
Á
Á
Àlog
⎛
⎜
⎝
e + (e −1)
Z
∫
0
dy
f(y)
⎞
⎟
⎠
. Figure 2 shows the characteristic width of a beam in
the case of stationary and non-stationary thermal self-
action in the normal (defocusing) and unusual cases
(focusing). Numerical calculations of Eqs (24) and (25)
with the appropriate initial and boundary conditions
have been undertaken in Mathematica. The nonlinear thermal self-action is also adjusted
by transversal scaling. One may suppose that the ther-
mal self-action may occur unusually if a beam diverges
unusually. It turns out that the anomalous diffraction
operates in such a way that it changes the sign of ther-
mal coefficient δ. This corresponds to the thermal fo-
cusing of a beam instead of defocusing which normally
takes place in all gases, that is, to the negative ther-
mal coefficient δ. The stationary and non-stationary
self-action is considered. The only damping mechanism
which is taken into account, is the thermal conduction
of a plasma. The thermal self-action leads to forma-
tion of thermal lenses with the exception of the case
C = c0 = CA when it leads to formation of a heated flat
layer. In this case, diffraction is not of importance in
concerning to a beam itself and to the thermal effects
in its field. The non-acoustic beams propagate with the
speed CA, which also depends on the temperature. But
it is not a leading order coupling of these modes with
the entropy mode. Hence, this is not a case of thermal
self-action. a)
Z
Π
Π
b)
θ
θ
θ
θ
Z
Fig. 2. Dimensionless width of a beam which is planar at
a transducer: a) stationary self-action, b) non-stationary
self-action. a)
Z
Π
Π
b) Fig. 2. 4.2. Stationary self-focusing Dimensionless width of a beam which is planar at
a transducer: a) stationary self-action, b) non-stationary
self-action. References 1. Botha G.J.J., Arber T.D., Nakariakov V.M.,
Keenan F.P. (2000), A developed stage of Alfvén wave
phase mixing, Astronomy and Astrophysics, 363(3):
1186–1194. 5. Concluding remarks The unusual diffraction behaviour of magnetohy-
drodynamic beams in a plasma is discovered. The
beams oblique to the magnetic field do not reveal
diffraction. The beams directed along the magnetic
field (this is the case θ = 0) may behave unusually
in dependence to the ratio of the sound speed c0 and
the speed of Alfvénic mode CA. In particular, the un-
usual diffraction (that means the minus sign by the
diffraction term) specifies a sound beam which propa-
gates with the speed c0 if CA > c0. The discrepancy
of a beam during parallel propagation is more mani-
fested as compared to the Newtonian case. As for mag-
netosound beam propagating perpendicularly to the
magnetic field with the speed
√
c2
0 + C2
A, it reveals nor-
mal but somewhat smaller diffraction than a Newto-
nian beam. Probably, the unusual cases do not have 2. Callen J.D. (2003), Fundamentals of Plasma Physics,
Lecture notes, University of Wisconsin, Madison. 3. Chin R., Verwichte E., Rowlands G., Nakaria-
kov V.M. (2010), Self-organization of magnetoacoustic
waves in a thermal unstable environment, Physics of
Plasmas, 17: 032107, doi: 10.1063/1.3314721. 4. Duck F.A. (2002), Nonlinear acoustics in diagnostic
ultrasound, Ultrasound in Medicine & Biology, 28(1):
1–18, doi: 10.1016/S0301-5629(01)00463-X. 5. Freidberg J.P. (1987), Ideal Magnetohydrodynamics,
Plenum Press, New York. 6. Hamilton M., Blackstock D. [Eds] (1998), Nonlin-
ear Acoustics, Academic Press, New York. 7. Krall N.A., Trivelpiece A.W. (1973), Principles of
Plasma Physics, McGraw Hill, New York. Archives of Acoustics – Volume 47, Number 3, 2022 362 plitude in optically thin quasi-isentropic plasmas, The
Astrophysical Journal, 528(2): 767–775, doi: 10.1086/
308195. 8. Kuznetsov V.P. (1971), Equations of nonlinear acous-
tics, Soviet Physics Acoustics, 16: 467–470. 9. Leble S., Perelomova A. (2018) The Dynamical Pro-
jectors Method: Hydro and Electrodynamics, CRC Press. 12. Rudenko O.V., Sapozhnikov O.A. (2004), Self-ac-
tion effects for wave beams containing shock fronts,
Physics-Uspekhi, 47(9): 907–922. 10. McLaughlin J.A., De Moortel I., Hood A.W. (2011), Phase mixing of nonlinear visco-resistive Alfvén
waves, Astronomy & Astrophysics, 527: A149, doi:
10.1051/0004-6361/201015552. 13. Rudenko O.V., Soluyan S.I. (1977), Theoretical Foun-
dations of Nonlinear Acoustics, Plenum, New York. 11. Nakariakov V.M., Mendoza-Briceño C.A., Ibá-
ñez M.H. (2000), Magnetoacoustic waves of small am- 14. Yufeng Z. (2015), Principles and Applications of The-
rapeutic Ultrasound in Healthcare, Taylor & Francis Inc.
|
https://openalex.org/W2233858256
|
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0146364&type=printable
|
English
| null |
Spectroscopic Evidence of the Improvement of Reactive Iron Mineral Content in Red Soil by Long-Term Application of Swine Manure
|
PloS one
| 2,016
|
cc-by
| 8,585
|
Spectroscopic Evidence of the Improvement
of Reactive Iron Mineral Content in Red Soil
by Long-Term Application of Swine Manure Chichao Huang1, Sha Liu1, Ruizhi Li1, Fusheng Sun1*, Ying Zhou2, Guanghui Yu1* 1 National Engineering Research Center for Organic-based Fertilizers, Jiangsu Collaborative Innovation
Center for Solid Organic Waste Resource Utilization, Jiangsu Provincial Key Lab for Organic Solid Waste
Utilization, Nanjing Agricultural University, Nanjing 210095, PR China, 2 Shanghai Institute of Measurement
and Testing Technology, Shanghai 201203, China a1111 * yuguanghui@njau.edu.cn (GY); henan223@163.com (FS) Abstract Mineral elements in soil solutions are thought to be the precursor of the formation of reactive
minerals, which play an important role in global carbon (C) cycling. However, information
regarding the regulation of mineral elements release in soil is scarce. Here, we examined
the long-term (i.e., 23 yrs) effects of fertilisation practices on Fe minerals in a red soil in
Southern China. The results from chemical analysis and Fourier-transform infrared spec-
troscopy showed that long-term swine manure (M) treatment released greater amounts of
minerals into soil solutions than chemical fertilisers (NPK) treatment, and Fe played a domi-
nant role in the preservation of dissolved organic C. Furthermore, Fe K-edge X-ray absorp-
tion near-edge fine structure spectroscopy demonstrated that reactive Fe minerals were
mainly composed of less crystalline ferrihydrite in the M-treated soil and more crystalline
goethite in the NPK-treated soil. In conclusion, this study reported spectroscopic evidence
of the improvement of reactive Femineral content in the M-treated soil colloids when com-
pared to NPK-treated soil colloids. OPEN ACCESS Citation: Huang C, Liu S, Li R, Sun F, Zhou Y, Yu G
(2016) Spectroscopic Evidence of the Improvement
of Reactive Iron Mineral Content in Red Soil by Long-
Term Application of Swine Manure. PLoS ONE 11(1):
e0146364. doi:10.1371/journal.pone.0146364 Editor: Gang Yang, Southwest University, CHINA Editor: Gang Yang, Southwest University, CHINA
Received: June 3, 2015
Accepted: December 16, 2015
Published: January 11, 2016 Copyright: © 2016 Huang et al. This is an open
access article distributed under the terms of the Copyright: © 2016 Huang et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any
medium, provided the original author and source are
credited. Data Availability Statement: All relevant data are
within the paper and its Supporting Information files. RESEARCH ARTICLE Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment soils. By evaluating soil C accumulation for 3 years across a 7-year chronosequence of three
farms converted to management-intensive grazing, Machmuller et al. [5] showed that soil cat-
ion exchange capacity linearly increased with soil carbon accumulation within a decade of
management-intensive grazing practices. This result suggested mineral elements (i.e., soil cat-
ions) could be affected by agricultural practices. Furthermore, Keiluweit et al. [6] indicated that
root exudates might affect the formation of reactive minerals. Also, our recent investigations
demonstrated that long-term organic fertilisation treatments could increase the concentrations
of reactive minerals (i.e., non-crystalline Fe [7] and allophane [8,9]) in red soils in Southern
China. However, non-crystalline Fe contributed only a portion of reactive Fe minerals present
in the soil, which were usually defined as Fe extracted with oxalate or citrate-bicarbonate-
dithionite (CBD) and might not serve to characterise the total amount of reactive Fe minerals. A better understanding of the effect of fertilisation practices on reactive iron oxides is impor-
tant for predicting and managing C preservation in soils. no role in study design, data collection and analysis,
decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared
that no competing interests exist. X-ray absorption near-edge fine structure (XANES) spectroscopy is an element specific
technique that is sensitive to the oxidation state and to the local structure of the absorber ele-
ment [10]. Using hard X-rays at the Fe K-edge, this technique provided a powerful tool to not
only identify but also quantify the various Fe phases present in soils, which could be very com-
plex and might mask magnetically weak phases when examined by Mössbauer spectroscopy or
X-ray magnetic circular dichroism [11]. However, the composition of reactive Fe minerals in
long-term fertilised soils remains poorly understood. The objectives of this study were 1) to examine the effect of long-term fertlisation regimes
on the composition of reactive Fe minerals in these soils, 2) to test which functional groups in
soil C were preferentially binding with reactive iron oxides, and 3) to mimic Fe mineral trans-
formation with the addition of organic acids. For these purposes, four contrasting fertilisation
regimes that each supplied 300 kg N/ha/year (two crops, wheat and corn) were examined dur-
ing a long-term (i.e., 23 yrs) fertilisation experiment: i) no fertiliser (Control), ii) inorganic
chemical fertilisers of nitrogen, phosphorus and potassium only (NPK or chemical fertilisation
hereafter), iii) swine manure only (M), and iv) a combination of swine manure and NPK fertili-
sers (MNPK) (M and MNPK are collectively called organic fertilisation hereafter). Introduction Funding: This work was financially jointly supported
by National Natural Science Foundation of China
(41371248 and 41371299), National Basic Research
Program of China (2011CB100503), Natural Science
Foundation of Jiangsu Province of China
(BK20131321), the Qing Lan Project, the Innovative
Research Team Development Plan of the Ministry of
China (IRT1256), the 111 Project (B12009), the
Priority Academic Program Development (PAPD) of
Jiangsu Higher Education Institutions, and Research
Project of Shanghai Municipal Bureau of Quality and
Technical Supervision (I00RJ1414). The funders had Globally, soil organic matter (SOM) contained greater than three-fold more carbon (C) than
the atmosphere and terrestrial vegetation [1]. The biogeochemical cycles of organic C and iron
(Fe) were strongly interlinked [2,3]. Lalonde et al. [2] suggested that approximately 21.5% of
the organic carbon in soil or sediment was directly bound to reactive Fe minerals. Therefore,
reactive Fe minerals could play an important role in the long-term storage of organic C and
thus the dynamics of the global C cycle. However, information concerning the mechanisms
that regulate reactive Fe minerals in soils is scarce. Recently, a study of two-century land use changes on soil iron crystallinity and accumula-
tion [4] suggested that land use changes (agriculture and reforestation) play an important role
in transforming the iron crystallinity and its interaction with organic matter decomposition in PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 1 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 2.3 Fourier-transform infrared (FTIR) spectroscopy analysis The soil samples and the CBD extracts were collected and freeze-dried for FTIR analysis. FTIR
spectra were measured for 1 mg of freeze-dried sample added to 100 mg of potassium bromide
(KBr, IR grade) and collected using a Nicolet iS10 FTIR spectrometer (Thermo Nicolet, USA)
at 4 cm-1 of resolution after 200 scans over the range from 4,000–400 cm-1. Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment single superphosphate at 53 kg P ha−1, and K as KCl at 100 kg K ha−1 before crop planting. The
N content of the manure was 16.7 g kg−1 in dry weight. The ratio of organic N in manure com-
pared to that added as inorganic N in fertilizer was 2.3:1. Thirty percent of the total amount of
individual fertilizer applied each year was used for wheat and 70% for corn. The experimental
plots were completely dependent on precipitation. Fresh soil was thoroughly mixed, air-dried, and sieved through a 5-mm screen for further
analysis. The air-dried samples were passed through a 2-mm screen prior to sample storage,
passed through a 0.25-mm screen before pH, SOC, and C/N measurements, and passed
through a 0.15-mm screen before extraction experiments. Soil colloids were isolated using the following procedure [15]. Briefly, air-dried soil was sus-
pended in deionised water at the ratio of 1:5 (w/v), shaken for 8 h at 25°C, and centrifuged for
6 min at 2,500 g. Aliquots of the supernatant suspensions containing the soil colloids were
transferred into 50-mL glass vials, stored in the dark at 4°C, and analysed within a few days. 2.2 Chemical analysis DOC was measured using a TOC/TN analyser (multi N/C 3000, Analytik Jena AG, Germany). The main metal ions in the colloids were quantified after digestion. The following procedure
was performed: first, the soil colloids were mixed with 10% nitric acid at a ratio of 1:1 (v/v) on
a heating plate [16]; then, the mixture was heated to 150°C and held there for 2 hrs. After diges-
tion, the mixture was filtered through a filtration membrane (0.45 μm) and stored in a suitable
container. The main mineral elements, namely, Fe, Al, Ca, Mg and Si, were quantified by
inductively coupled plasma atomic emission spectroscopy (ICP-AES). The extraction of reactive Fe minerals (Fed) was conducted using a 0.1 M citrate-bicarbon-
ate-dithionite (CBD) solution [2]. To determine the total Fe (Fet) content in the soils, 0.5 g of
powdered soil was weighed into Teflon tubes, mixed with trace metal grade acids (5 ml HNO3
and 10 ml HF), and carefully boiled for 1 hr at 120 ± 3°C. After cooling, 5 ml of HClO4 was
added, and the sample was heated to 220 ± 3°C until the sample boiled to dryness; then, 5 ml of
HF and 2 ml of HClO4 were added into the Teflon tubes. The sample was digested completely
until the residue turned white and grey. Finally, the digest was dissolved with 3 ml of HNO3 (v/
v = 1:1) and increased to a volume of 50 ml in a polypropylene centrifuge tube with deionised
water [17,18]. The concentration of Fet was analysed by ICP-AES. 2.1 Sample source and handling Soil samples were collected from a depth of 0–20 cm in September 2013 from the Qiyang
Experiment using a 5-cm internal diameter auger. The long-term fertilisation experiment was
established on a Ferralic Cambisol soil in September 1990 at the Qiyang Experimental Station
of the Chinese Academy of Agricultural Sciences, Hunan, China (26°45’N and 111°52’E, 120 m
above sea level) [8, 12]. The mean values for annual temperature, evaporation, frost-free days
and sunshine hours were 18°C, 1,470 mm, 300 d and 1,610 h, respectively, and the site received
1,255 mm of mean annual precipitation, approximately 70%–80% of which falls from April to
October. No specific field permits were required for this study. The land accessed is not pri-
vately owned or protected. No protected species were sampled. A detailed description of the
long-term fertilisation experiment site has been provided previously [8,13]. According to the
Food and Agriculture Organization of the United Nations (FAO) classification, the red soil is a
Ferralic Cambisol [14]. The top soil contains approximately 61.4% clay, 34.9% silt, and 3.7%
sand. Each plot was 20 m long and 10 m wide with a 1.0-m deep cement barrier zone between
each plot. Each plot was separated into three equal-sized regions, and 10 cores were randomly
sampled from each region. We carefully selected four fertilisation treatments for this study:
Control, NPK, NPKM, and M. The N fertilizer was provided as urea at 300 kg N ha−1, P as PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 2 / 15 2.5 Fe K-edge XAFS analysis Fe K-edge absorption spectra were collected using an Si (111) double crystal monochromator
at the XAFS station of the BL14W1 beamline of the Shanghai Synchrotron Radiation Facility
(SSRF). The storage ring was operated at 3.5 GeV with an electron current that decreased from
210 to 150 mA within about 8 hrs. Samples were ground into a fine powder and brushed onto
tape that was stacked together to approximately one X-ray-absorption length at the corre-
sponding metal edges. The intensities of the incident and the transmitted X-rays were moni-
tored in ionisation chambers filled with nitrogen gas. All of the spectra presented were
measured at room temperature. Standard samples of ferrihydrite, goethite, lepidocrocite,
maghemite, Fe(III) sulphate, Fe(II) sulphate, Fe(III) oxalate, and Fe(II) oxalate were recorded
in the transmission mode (S1 Fig), while the prepared samples were measured in the fluores-
cence mode. The X-ray energy scale was calibrated to the iron K-edge (7112.0 eV) using an
iron metal foil before XANES measurements were performed. The incident X-ray energy was
varied from 7090 to 7180 eV in 0.5-eV increments using a monochromator for a 10 s dwell,
and a 19 element high-purity Ge detector was used to collect an energy scan near the iron K
edge of a given iron-containing particle. The XAFS data were processed and analysed using the
ATHENA software (version 2.1.1). 2.4 C 1s NEXAFS spectroscopy The colloidal particles from the soils collected from the four fertilisation treatments were char-
acterised by C 1s NEXAFS spectroscopy on BL08U at the Shanghai Synchrotron Radiation
Facility, Shanghai Institute of Applied Physics, Chinese Academy of Sciences. For specimen
preparation, one droplet of soil colloid suspension was deposited at a 100-nm thickness onto a
Si3N4 window, which was previously glued onto the detection plate of the microscope. The
sample thickness is important to obtain a good signal-to-noise ratio when using NEXAFS spec-
troscopy [19]. The main 1s-p and Rydberg/mixed valence transitions in the fine structure
regions of the C K-edge spectra were recorded in the energy range from 284–310 eV. Back-
ground measurements were collected by measuring an empty Au wafer on each sample plate 3 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment loaded into the chamber. The normalisation current was also measured during each scan by
collecting the TEY from an Au mesh. The mesh was monitored for C contamination and was
periodically refreshed using an in situ Au evaporator incorporated into the beamline vacuum
system [20]. All the data were normalised prior to curve fitting using the ATHENA software
(version 2.1.1) [21]. Peak resonances with specific bonding environments were assigned on the
basis of the spectral signatures of pure chemical standards representative of specific functional
groups [19]. The details of deconvolution have been described elsewhere [15,20,22,23]. Spectral
regions represented with Gaussian curves were described as being generally attributed to the
functional groups from G1 to G8, details are given in data in S1 Table. 2.6 Simulation studies on the formation of SRO Fe minerals with the
addition of oxalic acid The soil colloids solutions for the M treatment and oxalic acid solution were prepared. Oxalic
acid solutions were added to the soil colloid solutions with stirring. The final concentrations of
oxalic acid in the soil colloid suspensions were 10 and 100 mg/L, and the pH values were
adjusted to 6.7 which were same as that of the raw soil colloids solution. After one day incuba-
tion, the suspensions in the series of reaction solutions were lyophilized under -50°C for 2 day
and then used for Fe K-edge XANES measurement. 3.1 Characteristics of soils in contrasting fertilisation treatments After 23 yrs of long-term fertilisation, a higher SOC (soil organic carbon) concentration was
measured from the NPKM and M treatments (i.e., 12.37 ± 0.08 and 14.76 ± 0.04 g/kg, respec-
tively) than the NPK and Control treatments (i.e., 10.62 ± 0.03 and 8.05 ± 0.05 g/kg, respec-
tively) (Table 1). Meanwhile, the soil pH values for the NPKM and M treatments were greater
than those for the NPK treatment, indicating that organic fertilisers could enhance the buffer-
ing capacity of soils while chemical fertilisers accelerate soil acidification. Compared to raw soil
(i.e., the unfertilized soil prior to long-term fertilisation treatments), both organic and chemical
fertilisations increased soil C pools. However, organic fertilisation improved soil pH while
chemical fertilisation decreased soil pH. These SOC and pH results were similar to those
reported in our previous publications [7–9], supporting the finding that organic fertilisation
could increase soil C pools and enhance soil buffering capacity, while chemical fertilisation
decreases soil C pools and accelerates soil acidification. Additionally, total iron (Fet) in soils exhibited an opposite trend to SOC concentration
(Table 1), suggesting that total iron was not responsible for the preservation of SOC. To deter-
mine whether soluble reactive Fe played an important role in the preservation of SOC, the con-
centrations of mineral elements (i.e., Fe, Al, Si, Ca, and Mg) and dissolved organic C (DOC) in
soil colloids were measured (Fig 1-a). Compared to raw soil, organic fertilisation increased soil
DOC pool while control and chemical fertilisations decreased it. Intriguingly, the highest con-
centrations of both mineral elements and DOC were found in the NPKM treatment, followed
by the M treatment, with the lowest concentrations observed in the Control and NPK treat-
ments. Moreover, there are strong correlations among the mineral elements and DOC
(Fig 1-b), demonstrating that all of the tested mineral elements together controlled the preser-
vation of DOC. Importantly, the slopes of the relationships between mineral elements and
DOC follow the order: Fe (1.17) > Si (0.85) > Al (0.83) >> Ca (0.11) > Mg (0.04), revealing
that among the tested mineral elements, the per unit Fe was bound with more DOC than other
mineral elements. Therefore, Fe played an important role in the preservation of DOC in red
soils in Southern China. Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment Table 1. Characteristics of soils from the various long-term fertilisation treatmentsa. Treatments
SOC (g/kg)
Bulk soil pH (H2O)
Fet (g/kg)
Fed (mg/g)
Fed/Fet
DOC (mg/L)
Raw soil
8.54 ± 0.03
5.7± 0.09
53.60 ± 0.68
41.36 ± 0.74
0.77 ± 0.06
34.52 ± 1.61
Control
8.05 ± 0.05
5.47 ± 0.07
50.70 ± 1.32
40.17 ± 0.78
0.79 ± 0.03
26.17 ± 13.32
NPK
10.62 ± 0.03
4.15 ± 0.02
55.40 ± 1.89
45.18 ± 3.36
0.82 ± 0.03
22.19 ± 1.43
NPKM
12.37 ± 0.08
5.84 ± 0.02
49.31 ± 0.59
41.52 ± 5.31
0.84 ± 0.11
217.08 ± 82.95
M
14.76 ± 0.04
6.63 ± 0.05
46.72 ± 1.94
39.84 ± 1.86
0.85 ± 0.01
101.39 ± 14.15
aControl, no fertilisation;
NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure fertilisation. SOC, soil organic carbon. DOC, dissolved
organic carbon. Fed, the CBD extracted reactive Fe. Fet, the total Fe. Fed/Fet, this ratio represents the iron freeness index. Table 1. Characteristics of soils from the various long-term fertilisation treatmentsa. aControl, no fertilisation; emical plus swine manure fertilisation; M, swine manure fertilisation. SOC, soil organic carbon. DOC, dissolved
ed reactive Fe. Fet, the total Fe. Fed/Fet, this ratio represents the iron freeness index. ,
;
NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure fertilisation. SOC, soil organic carbon. DOC, dissolved
organic carbon. Fed, the CBD extracted reactive Fe. Fet, the total Fe. Fed/Fet, this ratio represents the iron freeness index. 2.7 Statistical analysis One-way analysis of variance (ANOVA) was employed to test the effects of long-term fertilisa-
tion on soil reactive Fe minerals. Significance was determined by performing one-way ANO-
VA’s followed by Tukey’s HSD post hoc tests. Conditions of normality and homogeneity of
variance were met. Means ± SE (n = 3) followed by different letters indicate significant differ-
ences between treatments at P < 0.01. Values of Pearson’s correlation coefficient (R) were used
to evaluate the linear correlations among reactive Fe minerals and C functional groups. The
Pearson’s coefficient is always a number between –1 and +1, where –1 denotes a perfect nega-
tive correlation, +1 denotes a perfect positive correlation, and 0 denotes the absence of a rela-
tionship. The correlations were considered to be statistically significant at a 95% confidence
interval (P < 0.05). 4 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment Fig 1. Concentrations of mineral elements in soil colloids under contrasting fertilisation treatments (a) and their correlations with dissolved
organic carbon (DOC) (b). Control, no fertilisation; NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure
fertilisation. Significant differences among fertilisation treatments were determined using one-way ANOVA followed by Tukey’s HSD post hoc test at P < 0.01;
conditions of normality and homogeneity of variance were met. The slopes of the relationships between mineral elements and DOC shown in (b) clearly
demonstrate that DOC is dominated by Fe, Si, and Al rather than by Ca and Mg in red soils in Southern China. Fig 1. Concentrations of mineral elements in soil colloids under contrasting fertilisation treatments (a) and their correlations with dissolved
organic carbon (DOC) (b). Control, no fertilisation; NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure
fertilisation. Significant differences among fertilisation treatments were determined using one-way ANOVA followed by Tukey’s HSD post hoc test at P < 0.01;
conditions of normality and homogeneity of variance were met. The slopes of the relationships between mineral elements and DOC shown in (b) clearly
demonstrate that DOC is dominated by Fe, Si, and Al rather than by Ca and Mg in red soils in Southern China. Fig 1. Concentrations of mineral elements in soil colloids under contrasting fertilisation treatments (a) and their correlations with dissolved
organic carbon (DOC) (b). Control, no fertilisation; NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure
fertilisation. Significant differences among fertilisation treatments were determined using one-way ANOVA followed by Tukey’s HSD post hoc test at P < 0.01;
conditions of normality and homogeneity of variance were met. The slopes of the relationships between mineral elements and DOC shown in (b) clearly
demonstrate that DOC is dominated by Fe, Si, and Al rather than by Ca and Mg in red soils in Southern China. doi:10.1371/journal.pone.0146364.g001 with SOC (Table 1). However, the iron freeness index, indicated by the Fed/Fet ratio, had a sim-
ilar relationship to SOC, revealing that Fed/Fet rather than Fed may be the critical factor in the
determination of SOC preservation. An increase in the Fed/Fet ratio suggests a high degree of
soil weathering [24]. Compared to raw soil, all of the fertilisations increased the Fed/Fet ratio. Therefore, organic fertilisation increased the rate of soil weathering much more than control
and chemical fertilisations. 3.1 Characteristics of soils in contrasting fertilisation treatments The higher concentrations of DOC and mineral elements in the
NPKM treatment in relation to the NPK or M treatment may be due to the better growth of
plants in the NPKM treatment. This would result in increased root exudate production in the
NPKM treatment, which simulated higher concentration of DOC and mineral element
production. To quantify the concentration of reactive Fe, the CBD method was used to extract Fe (i.e.,
Fed) from soils. The results demonstrated that the Fed in soils exhibited a distinct relationship 5 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 3.2 FTIR spectroscopy of reactive minerals under contrasting fertilisation
treatments FTIR spectroscopy was used to examine the difference of organic C and minerals in the CBD
extracts and bulk soils (Fig 2). For the Control and NPK treatments, the band intensity between
the CBD extracts and bulk soils was similar, except for 3465 cm-1 (O-H network). Interestingly,
for the M and NPKM treatments, the band intensity of the CBD extracts was more stronger at 6 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment Fig 2. Fourier-transform IR spectra of the CBD extracts and the bulk soils from the variouslong-term fertilisation treatments. Control, no fertilisation;
NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure fertilisation. CBD, citrate-bicarbonate-dithionite. The grey
region indicates the extracted reactive minerals and organic C pool, suggesting that considerably greater amounts of reactive mineral components (Fe-O, Al-
O, and Si-O) and organic C were extracted from the long-term organic treatments (i.e., M and NPKM) using the CBD method than were extracted from the
Control and NPK treatments. Fig 2. Fourier-transform IR spectra of the CBD extracts and the bulk soils from the variouslong-term fertilisation treatments. Control, no fertilisation;
NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure fertilisation. CBD, citrate-bicarbonate-dithionite. The grey
region indicates the extracted reactive minerals and organic C pool, suggesting that considerably greater amounts of reactive mineral components (Fe-O, Al-
O, and Si-O) and organic C were extracted from the long-term organic treatments (i.e., M and NPKM) using the CBD method than were extracted from the
Control and NPK treatments doi:10.1371/journal.pone.0146364.g002 1640 cm-1 (aromatic C), 1100 cm-1 (alkyl C), 1020 cm-1 (alkyl C), 790 cm-1 (Fe-O), 690 cm-1
(Al-O), 520 cm-1 (Al-O-Si) and 480 cm-1 (Si-O) than that of bulk soils. Therefore, FTIR of the
CBD extracts and bulk soils confirmed that substantially greater amounts of reactive mineral
components (i.e., Fe-O, Al-O, and Si-O) and organic C were extracted from the soils following
the M and NPKM treatments using the CBD method than from the Control and NPK treat-
ments (Fig 2). When the CBD method and the FTIR spectra were combined, it was concluded
that the Fed/Fet ratio, rather than Fed, provides a suitable index for the characterisation of the
amount of reactive Fe that is related to the preservation of SOC. PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 3.3 Composition of reactive minerals as studied by Fe K-edge XANES
spectra To determine the composition of the reactive Fe minerals, the Fe K-edge XANES spectra with
the linear combination fitting (LCF) were analysed using eight reference materials (Fig 3). The
eight reference materials were ferrihydrite, goethite, lepidocrocite, maghemite, Fe(III) sulphate,
Fe(II) sulphate, Fe(III) oxalate, and Fe(II) oxalate (S1 Fig). Of these, ferrihydrite, goethite, lepi-
docrocite, and magnetite represent the main reactive minerals; Fe(III) sulphate and Fe(II) sul-
phate represent the primary forms of tri- and bi-valent inorganic irons, while Fe(III) oxalate
and Fe(II) oxalate represent the primary forms of tri- and bi-valent organic irons. The LCF
results for the soil colloids (Fig 3 and Table 2) revealed that Fe(III) was predominant (71%-
84.2%) following both the organic and the chemical fertilisation treatments. The other Fe
phases were composed of less crystalline ferrihydrite (15.8%-25.9%) in the organic (i.e., NPKM
and M) treatments and more crystalline maghemite (29.0 ± 1.5%) in the chemical (i.e., NPK)
treatments. For the Control treatment, the reactive Fe minerals in the soil colloids were 7 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment composed of 47.5% inorganic Fe(III) and 52.5 ± 2.5% ferrihydrite. Given the greater C preser-
vation capability of ferrihydrite than maghemite [25–27], it is reasonable to conclude that the
Fig 3. Fe K-edge XANES spectra of soil colloids from contrasting fertilisation treatments. (a) Control, no fertilisation; (b) NPK, chemical fertilisation; (c)
NPKM, chemical plus swine manure fertilisation; (d) M, swine manure fertilisation. The scattered circles represent the linear combination fitting (LCF) results
of the sample spectra. doi:10.1371/journal.pone.0146364.g003 Fig 3. Fe K-edge XANES spectra of soil colloids from contrasting fertilisation treatments. (a) Control, no fertilisation; (b) NPK, chemical fertilisation; (c)
NPKM, chemical plus swine manure fertilisation; (d) M, swine manure fertilisation. The scattered circles represent the linear combination fitting (LCF) results
of the sample spectra. doi:10.1371/journal.pone.0146364.g003 composed of 47.5% inorganic Fe(III) and 52.5 ± 2.5% ferrihydrite. Given the greater C preser-
vation capability of ferrihydrite than maghemite [25–27], it is reasonable to conclude that the
Fe minerals present in soil colloids after long-term organic fertilisation are more reactive than
those present after long-term chemical fertilisation. Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment Table 2. Linear combination fit (LCF) results of the Fe K-edge XANES spectra of soil colloids from various fertilisation treatments and the simu-
lated studies a. Samples
LCF results (%)
LCF parameters
Ferrihydrite
Goethite
Magnetite
Ferrous sulfate
Ferric oxalate
R-factor
Chi-square
fertilisation treatment
Control
23.0 ± 2.3
71.7 ± 1.2
5.3 ± 1.4
ND
ND
0.000042
3.71 × 10−5
NPK
ND
77.6 ± 1.6
13.8 ± 0.7
ND
8.7 ± 0.7
0.000061
5.34 × 10−5
NPKM
43.4 ± 1.4
53.2 ± 1.1
ND
3.4 ± 0
ND
0.000054
4.68 × 10−5
M
30.3 ± 2.5
64.3 ± 1.2
5.4 ± 1.6
ND
ND
0.000048
4.09 × 10−5
Simulated studies
M+10 mg/L oxalic acid
53.1±0.013
47.8±1.4
ND
ND
11.3±0.9
0.000713
1.08×10−4
M+100 mg/L oxalic acid
49.7±3.1
40.9±2.5
ND
ND
14.4±0.6
0.000644
1.23×10−4
aControl, no fertilisation;
NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure fertilisation. ND, not detected. The values of the fitting
parameters (i.e., R-factor and chi-square) indicate that the fitting results are satisfactory. sults of the Fe K-edge XANES spectra of soil colloids from various fertilisation treatments and the simu- Samples Control, no fertilisation;
NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure fertilisation. ND, not detected. The values of the fitting
parameters (i.e., R-factor and chi-square) indicate that the fitting results are satisfactory. emical plus swine manure fertilisation; M, swine manure fertilisation. ND, not detected. The values of the fitting
are) indicate that the fitting results are satisfactory. NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure fertilisation. ND, no
parameters (i.e., R-factor and chi-square) indicate that the fitting results are satisfactory. 53.1 ± 0.0% and 49.7 ± 3.1%, respectively. Furthermore, the extended X-ray absorption fine
structure (EXAFS) spectra and the radial structure functions (RSFs, uncorrected for phase
shift) of those data (Fig 4-b and 4-c) demonstrated that the addition of oxalic acid caused struc-
tural changes to Fe minerals, indicative of the occurrence of both co-precipitation and absorp-
tion [28] with the addition of oxalic acid to soil colloids in the M treatment. The above results suggest that oxalic acid can promote the transformation from Fe(III) to
ferrihydrite, which is consistent with aprevious report that the low-molecular-weight (LMW)
organic acid may incorporate into the network structure of SRO minerals [29], inhibiting fur-
ther growth of SRO minerals [3]. Ferrihydrite was indicative of recent Fe weathering and forms by the rapid oxidation of Fe
(II) in solution [30]. Therefore, its weathering was an important step in the transformation
process [27]. Considering the large amounts of Fe in the organic treatment (Table 1), it is sug-
gested that Fe in bulk soils might be reduced to Fe(II) first, and then oxidized to Fe(III) with
the assistance of oxidizing substances, and lastly, the Fe(III) is incorporated into the network
structure of organic acids to form ferrihydrite. 3.4 Simulation of reactive mineral formation by adding organic acid The factors that affect the formation of reactive minerals in the natural system were compli-
cated [27]. To confirm the role of organic inputs in the formation process, a simulated study,
i.e., adding oxalic acid to soil colloids from the M treatment, was conducted. The LCF results of Fe K-edge XANES spectra (Fig 4-a and Table 2) demonstrated that incu-
bation of soil colloids with oxalic acid at a concentration of 10 and 100 mg/L for 1 day could
decrease the percentage of goethite from 64.3 ± 1.2% to 47.8 ± 1.4% and 40.9 ± 2.5%, respec-
tively, and simultaneously increase the percentage of ferrihydrite from 30.3 ± 2.5% to 8 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 3.5 Organic groups preserved by reactive minerals To date, it remains unclear which components of soil organic C are preserved by reactive Fe
minerals. Synchrotron-based C 1s near-edge X-ray fine structure (NEXAFS) spectroscopy can
offer valuable insights into the composition of organic C [31]. Using C 1s NEXAFS spectros-
copy combined with deconvolution analysis [20], it was found that compared to the NPK treat-
ment, the NPKM and M treatments markedly increased the proportion of carboxylic groups
(288.4–289.1 eV) from 24.2% to 33.2% and increased the percentages of both the aromatic
(283.0–286.1 eV) and phenolic (286.2–287.5 eV) groups by greater than 2.8-fold (Fig 5 and
Table 3). These results demonstrated that organic fertilisation treatments enhanced the reten-
tion of carboxylic and aromatic C in soils. To determine whether the retention of C is directly correlated with the content of reactive
Fe minerals, the Pearson correlations between C functional groups and Fet as well as Fed were
evaluated (Table 4). The results showed that total Fe was significantly correlated with the car-
boxylic C groups (P < 0.001, R2 > 0.69) but was not significantly correlated with the other C
groups. However, the CBD extracted Fe was significantly correlated with aromatic C and O- 9 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment Fig 4. Linear combination fitting (LCF) results of XANES Fe K-edge normalized spectra (a), Fe K-edge EXAFS (b), and radial structure function
(RSFs, uncorrected for phase shift) (c) in simulated studies. The scattered circles represent the LCF results of the sample spectra. Fitting parameters
(i.e., R-factor and chi-square, Table 2) indicated that the fitting results are convincible. Fig 4. Linear combination fitting (LCF) results of XANES Fe K-edge normalized spectra (a), Fe K-edge EXAFS (b), and radial structure function
(RSFs, uncorrected for phase shift) (c) in simulated studies. The scattered circles represent the LCF results of the sample spectra. Fitting parameters
(i.e., R-factor and chi-square, Table 2) indicated that the fitting results are convincible. doi:10.1371/journal.pone.0146364.g004 alkyl C functional groups (P < 0.001, R2 > 0.77). Therefore, it is reasonable to conclude that
reactive Fe minerals are responsible for the retention of aromatic C and O-alkyl C in soils. alkyl C functional groups (P < 0.001, R2 > 0.77). Therefore, it is reasonable to conclude that
reactive Fe minerals are responsible for the retention of aromatic C and O-alkyl C in soils. Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment Fig 5. C 1s NEXAFS spectra and their deconvolution results for soil colloids from the various long-term fertilisation treatments. (a) Control, no
fertilisation; (b) NPK, chemical fertilisation; (c) NPKM, chemical plus swine manure fertilisation; (d) M, swine manure fertilisation. G1–G8 representeight
Gaussian curves. The specific C forms of G1–G8 are given in S1 Table. Artan represents an arctangent step function. been suggested that the weathering of soil was driven by microorganisms [34], the diversity
and function of which were affected by nutrient availability [35]. Here, it is inferred that the
organic fertilisation treatments not only provided a high availability of nutrients (i.e., manure)
to microorganisms but also created a suitable environment (e.g., correct pH) for microbial
Fig 5. C 1s NEXAFS spectra and their deconvolution results for soil colloids from the various long-term fertilisation treatments. (a) Control, no
fertilisation; (b) NPK, chemical fertilisation; (c) NPKM, chemical plus swine manure fertilisation; (d) M, swine manure fertilisation. G1–G8 representeight
Gaussian curves. The specific C forms of G1–G8 are given in S1 Table. Artan represents an arctangent step function. doi:10.1371/journal.pone.0146364.g005 Fig 5. C 1s NEXAFS spectra and their deconvolution results for soil colloids from the various long-term fertilisation treatments. (a) Control, no
fertilisation; (b) NPK, chemical fertilisation; (c) NPKM, chemical plus swine manure fertilisation; (d) M, swine manure fertilisation. G1–G8 representeight
Gaussian curves. The specific C forms of G1–G8 are given in S1 Table. Artan represents an arctangent step function. been suggested that the weathering of soil was driven by microorganisms [34], the diversity
and function of which were affected by nutrient availability [35]. Here, it is inferred that the
organic fertilisation treatments not only provided a high availability of nutrients (i.e., manure)
to microorganisms but also created a suitable environment (e.g., correct pH) for microbial Table 3. Deconvolution results for using C 1s NEXAFS on soil colloids from the various long-term fertilisation treatmentsa. Treatment
Proportion of absorption regions (%) Table 3. Deconvolution results for using C 1s NEXAFS on soil colloids from the various long-term fertilisation treatmentsa. Discussion It is well known that, compared to chemical fertilisation treatments, long-term organic fertilisa-
tion treatments can increase soil C pools [8,9,32]. However, the effects of long-term organic
fertilisation treatments on the release of mineral elements are poorly understood. The release
of mineral elements in soils was considered a precursor to the formation of reactive minerals
[33]. The results in this study demonstrated that organic fertilisation treatments resulted in the
release of considerable amounts of mineral elements into soil colloids, which were significantly
(P < 0.01) correlated with the concentration of DOC. This result was also consistent with the
higher degree of soil weathering that received organic fertilisation treatments (Table 1). It had PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 10 / 15 ,
;
NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure fertilisation. Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment Table 4. Pearson correlation coefficients amonghighly reactive Fe fractions (i.e., Fed) and C functional groups (n = 12)a. Functional group
Energy level (eV)
Fed
Fet
P
R2
P
R2
Aromatic C
283.0–286.1
<0.001
0.77
0.062
0.23
Phenolic C
286.2–287.5
<0.05
0.28
0.065
0.23
Alkyl C
287.6–288.3
<0.05
0.40
0.111
0.15
Carboxylic C
288.4–289.1
<0.01
0.48
<0.001
0.69
O-alkyl C
289.2–289.8
<0.00001
0.99
<0.01
0.61
Carbonyl C
289.9–290.2
0.16
0.10
<0.05
0.34
aFed, the citrate-bicarbonate-dithionite extracted Fe. Fet, the total Fe. d i 10 1371/j
l
0146364 004 son correlation coefficients amonghighly reactive Fe fractions (i.e., Fed) and C functional groups (n = 12)a. Table 4. Pearson correlation coefficients amonghighly reactive Fe fractions (i.e., Fed) and C functional g aFed, the citrate-bicarbonate-dithionite extracted Fe. Fet, the total Fe. activity. Thus, on the one hand, microbes were present in high abundance, which promotes the
weathering of soil and on the other hand, more rapid weathering provided a greater availability
of nutrients for the formation of reactive minerals. Analysis of the concentrations of ferrihydrite in the applied fertilisers and the XRF spectros-
copy results [36] indicated that ferrihydrite introduced by fertilisers was negligible, supporting
that fertilisers had a minor effect on the concentration of reactive minerals in soil. Further-
more, the results of simulated studies demonstrated that the addition of organic acid could
transfer goethite to ferrihydrite (Fig 4), providing direct evidence that organic inputs promoted
the formation of reactive minerals. The presence of organic matter was critical to the formation
of reactive minerals because organic matter could become incorporated into the network struc-
ture of short-range ordered (i.e., SRO) minerals and thus prevent the formation of sheets or
inter-layer H-bonds that were essential components of crystalline minerals [8,37,38]. More-
over, high concentrations of organic matter might promote the formation of reactive Fe miner-
als by inhibiting further growth of reactive Fe minerals to their crystalline counterpart [3]. Therefore, soils that receive long-term swine manure inputs contained high concentrations
of organic matters (mainly as carboxylic C, alkyl C, carbonyl C, and O-alkyl C, Table 3) that
facilitated the rapid formation of reactive Fe minerals. The formation of reactive Fe minerals
facilitated the storage of SOM, which was perhaps the most important determinant of soil qual-
ity and soil sustainability [39]. Treatment
Proportion of absorption regions (%)
Aromatic C
Phenolic C
Alkyl C
Carboxylic C
O-alkyl C
Carbonyl C
(283–286.1 eV)
(286.2–287.5 eV)
(287.6–288.3 eV)
(288.4–289.1 eV)
(289.2–289.8 eV)
(289.9–290.2 eV)
Control
2.6
0.7
19.4
29.6
12.1
35.6
NPK
0.5
0.1
25.7
24.2
16.3
33.2
NPKM
1.4
1.1
18.9
33.2
13.2
32.2
M
1.8
0.5
22.9
46.6
12.3
15.9
aControl, no fertilisation;
NPK, chemical fertilisation; NPKM, chemical plus swine manure fertilisation; M, swine manure fertilisation. doi:10 1371/journal pone 0146364 t003 nvolution results for using C 1s NEXAFS on soil colloids from the various long-term fertilisation treatmentsa Table 3. Deconvolution results for using C 1s NEXAFS on soil colloids from the various long-term fertilisati PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 11 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 Acknowledgments The authors thank B.R. Wang for his assistance in soil sampling in the Qiyang Long-term Fer-
tilization Experiment, technical assistances from J.Y. Ma to use the Fe K-edge XANES facility
of the BL14W1 beamline and from X.Z. Zhang as well as L.J. Zhang to use the C 1s NEXAFS
facility of the 08U beamline in the Shanghai Synchrotron Radiation Facility. S1 Fig. Fe K-edge XANES spectra of reference materials.
(PDF) S1 Table. Peak assignment for C forms obtained from C 1s NEXAFS and corresponding
FTIR spectroscopy [12,17,40]a. (PDF) Author Contributions Conceived and designed the experiments: GY. Performed the experiments: CH SL RL FS. Ana-
lyzed the data: CH SL RL FS YZ GY. Contributed reagents/materials/analysis tools: CH GY. Wrote the paper: GY CH SL RL FS YZ. Conceived and designed the experiments: GY. Performed the experiments: CH SL RL FS. Ana-
lyzed the data: CH SL RL FS YZ GY. Contributed reagents/materials/analysis tools: CH GY. Wrote the paper: GY CH SL RL FS YZ. Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment the quantities of Fe minerals were similar, the forms of Fe minerals present in organic fertilised
soils played a more important role in the preservation of soil C than those present in inorganic
fertilised soils. A better understanding of the effects of fertilisation practices on reactive iron
oxides is important for predicting and managing C preservation in soils. Conclusion In summary, these findings demonstrated that long-term organic fertilizer treatment increased
the mobilization of Fe minerals. Moreover, the interaction between organic materials and Fe
minerals may facilitate the rapid formation of reactive Fe minerals in soil colloids. These find-
ings raise new possibilities for investigating the regulation of reactive soil minerals and their
roles in efficient C preservation, in addition to providing a pathway for predicting and manag-
ing the global C cycle. PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 Supporting Information S1 Fig. Fe K-edge XANES spectra of reference materials. (PDF) It had been shown that the quality of the land and so its suitabil-
ity in China had decreased, based on the second National Land Resource Survey of China [40]. Therefore, it is urgent for China to improve the quality of low- and medium-grade arable land. One of the effective ways to improve the quality of the land and its suitability of the land was
adding manure to soil [41]. Moreover, the comparison between the FTIR spectra of the CBD
extracts and those of the bulk soils has demonstrated, for the first time, that FTIR spectroscopy
is a suitable method for the characterisation of reactive Fe minerals related to the preservation
of SOC. Reactive Fe minerals had been suggested to play an important role in preserving soil C. However, it is unclear as to which Fe minerals are responsible for the preservation of soil C. Therefore, the identification of reactive Fe minerals is critical for improving our understanding
of the mechanisms underlying the preservation of soil C by reactive Fe minerals. The identifica-
tion of reactive Fe minerals is still a complicated issue, owing to the limitations of traditional
techniques (i.e., X-ray diffraction) that had been used to identify SRO minerals as the main
components of reactive Fe minerals [42]. Fe K-edge XANES spectroscopy clearly demonstrated
that organic fertilisation treatments promoted the formation of reactive Fe minerals, i.e., ferri-
hydrite, compared to chemical fertilisation treatments. These results suggested that even when 12 / 15 References Luisa Fdez-Gubieda M, Muela A, Alonso J, Garcia-Prieto A, Olivi L, Fernandez-Pacheco R, et al. (2013) Magnetite biomineralization in magnetospirillum gryphiswaldense: time-resolved magnetic and
structural studies. ACS Nano 7: 3297–3305. doi: 10.1021/nn3059983 PMID: 23530668 12. Wu J, Wu MJ, Li CP, Yu GH (2014) Long-term fertilization modifies the structures of soil fulvic acids and
their binding capability with Al. PLoS One 9: e105567. doi: 10.1371/journal.pone.0105567 PMID:
25137372 13. Zhang HM, Wang BR, Xu MG, Fan TL (2009) Crop yield and soil responses to long-term fertilization on
a red soil in Southern China. Pedosphere 19: 199–207. 14. Xiao J, Wen YL, Li H, Hao JL, Shen QR, Ran W, et al. (2015) In situ visualization and characterization
of thecapacity of highly reactive minerals preserving soil organic matter (SOM) in colloids at submicron
scales. Chemosphere 138: 225–232. 15. Schumacher M, Christl I, Scheinost AC, Jacobsen C, Kretzschmar R (2005) Chemical heterogeneity of
organic soil colloids investigated by scanning transmission X-ray microscopy and C-1s NEXAFS micro-
spectroscopy. Environm Sci Technol 39: 9094–9100. 16. Klitzke S, Lang F, Kaupenjohann M (2008) Increasing pH releases colloidal lead in a highly contami-
nated forest soil. Europ J Soil Sci 59: 265–273. 17. McLaren JW, Methven BAJ, Lam JWH, Berman SS (1995) The use of inductively coupled plasma spec-
trometry in the production of environmental certified materials. Mikrochim Acta 119: 287–295. 18. Zasoski RJ, Burau RG (1977) A rapid nitric-perchloric acid digestion method for multi-element tissue
analysis. Commun Soil Sci Plant Anal 8: 425–436. 19. Urquhart SG, Hitchcock AP, Smith AP, Ade HW, Lidy W, Rightor EG, et al. (1999) NEXAFS spectromi-
croscopy of polymers: overview and quantitative analysis of polyurethane polymers. J Elect Spectro
Rel Phenom 100: 119–135. 20. Heymann K, Lehmann J, Solomon D, Schmidt MWI, Regier T (2011) C 1s K-edge near edge X-ray
absorption fine structure (NEXAFS) spectroscopy for characterizing functional group chemistry of black
carbon. Org Geochem 42: 1055–1064. 21. Ravel B, Newville M (2005) ATHENA and ARTEMIS: Interactive graphical data analysis using IFEFFIT. Phys Scr T 115: 1007–1010. 22. Solomon D, Lehmann J, Kinyangi J, Liang BQ, Heymann K, Dathe L, et al. (2009) Carbon (1s) NEXAFS
spectroscopy of biogeochemically relevant reference organic compounds. Soil Sci Soc Amer J 73:
1817–1830. 23. Lehmann J, Liang B, Solomon D, Lerotic M, Luizão F, Kinyangi J, et al. References 1. Schmidt MW, Torn MS, Abiven S, Dittmar T, Guggenberger G, Janssens IA, et al. (2011) Persistence
of soil organic matter as an ecosystem property. Nature 478: 49–56. doi: 10.1038/nature10386 PMID:
21979045 1. Schmidt MW, Torn MS, Abiven S, Dittmar T, Guggenberger G, Janssens IA, et al. (2011) Persistence
of soil organic matter as an ecosystem property. Nature 478: 49–56. doi: 10.1038/nature10386 PMID:
21979045 2. Lalonde K, Mucci A, Ouellet A, Gelinas Y (2012) Preservation of organic matter in sediments promoted
by iron. Nature 483: 198–200. doi: 10.1038/nature10855 PMID: 22398559 3. Riedel T, Zak D, Biester H, Dittmar T (2013) Iron traps terrestrially derived dissolved organic matter at
redox interfaces. Proc Natl Acad Sci U S A 110: 10101–10105. doi: 10.1073/pnas.1221487110 PMID:
23733946 4. Li JW, Richter DD. (2012) Effects of two-century land use changes on soil iron crystallinity and accumu-
lation in South eastern Piedmont region, USA. Geoderma 173–174: 184–191. 5. Machmuller MB, Kramer MG, Cyle TK, Hill N, Hancock D, Thompson A (2015) Emerging land use prac-
tices rapidly increase soil organic matter. Nat Commun 6:6995. doi: 10.1038/ncomms7995 PMID:
25925997 6. Keiluweit M, Bougoure JJ, Nico PS, Pett-Ridge J, Weber PK, Kleber K, (2015) Mineral protection of soil
carbon counteracted by root exudates. Nat Clim Chang 5: 588–595. 13 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment 7. Zhang JC, Zhang L, Wang P, Huang QW, Yu GH, Li DC, et al. (2013) The role of non-crystalline Fe in
the increase of SOC after long-term organic manure application to the red soil of southern China. Europ
J Soil Sci 64: 797–804. 8. Yu GH, Wu MJ, Wei GR, Luo YH, Ran W, Wang BR, et al. (2012) Binding of organic ligands with Al(III)
in dissolved organic matter from soil: implications for soil organic carbon storage. Environm Sci Technol
46: 6102–6109. 9. Wen YL, Li H, Xiao J, Wang C, Shen QR, Ran W, et al. (2014) Insights into complexation of dissolved
organic matter and Al(III) and nanominerals formation in soils under contrasting fertilizations using two-
dimensional correlation spectroscopy and high resolution-transmission electron microscopy tech-
niques. Chemosphere 111: 441–449. 10. Prietzel J, Thieme J, Eusterhues K, Eichert D (2007) Iron speciation in soils and soil aggregates by syn-
chrotron-based X-ray microspectroscopy (XANES, μ-XANES). Europ J Soil Sci 58: 1027–1041. 11. PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 References (2005) Near-edge X-ray absorp-
tion fine structure (NEXAFS) spectroscopy for mapping nano-scale distribution of organic carbon forms
in soil: Application to black carbon particles. Glob Biogeochem Cyc 19: GB1013. 24. Torrent J, Schwertmann U, Schulze DG (1980) Iron oxide mineralogy of some soils of two river terrace
sequences in Spain. Geoderma 23: 191–208. 25. Kramer MG, Sanderman J, Chadwick OA, Chorover J, Vitousek PM (2012) Long-term carbon storage
through retention of dissolved aromatic acids by reactive particles in soil. Glob Chang Biol 18: 2594–
2605. 26. Auffan M, Rose J, Bottero JY, Lowry GV, Jolivet JP, Wiesner MR. (2009) Towards a definition of inor-
ganic nanoparticles from an environmental, health and safety perspective. Nat Nanotech 4: 634–641. 27. Wiesner MR, Lowry GV, Casman E, Bertsch PM, Matson CW, Di Giulio RT, et al. (2011) Meditations on
the ubiquity and mutability of nano-sized materials in the environment. ACS Nano 5: 8466–8470. doi:
10.1021/nn204118p PMID: 22103257 28. Siebecker M, Li W, Khalid S, Sparks DL (2014) Real-time QEXAFS spectroscopy measures rapid pre-
cipitate formation at the mineral-water interface. Nat Commun 5: 5003. doi: 10.1038/ncomms6003
PMID: 25233849 14 / 15 PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 Improvement of Reactive Iron Minerals in Red Soil by Manure Amendment 29. Xu RK, Hu YF, Dynes JJ, Zhao AZ, Blyth RIR, Kozak LM, et al. (2010) Coordination nature of aluminum
(oxy)hydroxides formed under the influence of low molecular weight organic acids and a soil humic acid
studied by X-ray absorption spectroscopy. Geochim Cosmochim Acta 74: 6422–6435. 30. Hawkings JR, Wadham JL, Tranter M, Raiswell R, Benning LG, Statham PJ, et al. (2014) Ice sheets as
a significant source of highly reactive nanoparticulate iron to the oceans. Nat Commun 5: 3929. doi: 10. 1038/ncomms4929 PMID: 24845560 31. Lehmann J, Solomon D, Kinyangi J, Dathe L, Wirick S, Jocabsen AC. (2008) Spatial complexity of soil
organic matter forms at nanometre scales. Nat Geosci 1: 238–242. 32. Maillard E, Angers DA (2014) Animal manure application and soil organic carbon stocks: a meta-analy-
sis. Glob Chang Biol 20: 666–679. PMID: 24132954 33. Kleber M, Mikutta R, Torn MS, Jahn R (2005) Poorly crystalline mineral phases protect organic matter
in acid subsoil horizons. Europ J Soil Sci 56: 717–725. 34. Huang J, Sheng XF, Xi J, He LY, Huang Z, Wang Q, et al. PLOS ONE | DOI:10.1371/journal.pone.0146364
January 11, 2016 References (2014) Depth-related changes in community
structure of culturable mineral weathering bacteria and in weathering patterns caused by them along
two contrasting soil profiles. Appl Environ Microbiol 80: 29–42. doi: 10.1128/AEM.02335-13 PMID:
24077700 35. Uroz S, Tech JJ, Sawaya NA, Frey-Klett P, Leveau JHJ (2014) Structure and function of bacterial com-
munities in ageing soils: Insights from the Mendocino ecological staircase. Soil Biol Biochem 69: 265–
274. 36. Wen YL, Xiao J, Li H, Shen QR, Ran W, Zhou QS, et al. (2014) Long-term fertilization practices alter
aluminum fractions and coordinate state in soil colloids. Soil Sci Soc Amer J 78: 2083–2089. 37. Cai P, He X, Xue A, Chen H, Huang Q, Yu J, et al. (2011) Bioavailability of methyl parathion adsorbed
on clay minerals and iron oxide. J Hazard Mater 185: 1032–1036. doi: 10.1016/j.jhazmat.2010.10.010
PMID: 21035256 38. Hu YF, Xu RK, Dynes JJ, Blyth RIR, Yu G, Kozak LM, et al. (2008) Coordination nature of aluminum
(oxy)hydroxides formed under the influence of tannic acid studied by X-ray absorption spectroscopy. Geochim Cosmochim Acta 72: 1959–1969. 39. Baker LL, Strawn DG, Vaughan KL, McDaniel PA (2010) XAS study of Fe mineralogy in a chronose-
quence of soil clays formed in basaltic cinders. Clays Clay Miner 58: 772–782. 40. Rasmussen PE, Goulding KWT, Brown JR, Grace PR, Janzen HH, Korschens M. (1998) Long-term
agroecosystem experiments: assessing agricultural sustainability and global change. Science
282:893–896. PMID: 9794751 41. Kong XB (2014) China must protect high-quality arable land. Nature 506: 7. doi: 10.1038/506007a
PMID: 24499883 42. Yu GH, Tang Z, Xu YC, Shen QR (2011) Multiple fluorescence labeling andtwo dimensional FTIR-13C
NMR heterospectral correlation spectroscopy to characterize extracellular polymeric substances in bio-
films produced during composting. Environm Sci Technol 45: 9224–9231. 15 / 15
|
https://openalex.org/W2076953438
|
https://europepmc.org/articles/pmc3237608?pdf=render
|
English
| null |
Craniectomy for Malignant Cerebral Infarction: Prevalence and Outcomes in US Hospitals
|
PloS one
| 2,011
|
cc-by
| 5,932
|
Abstract doi:10.1371/journal.pone.0029193
Editor: Andreas Meisel, Charite´ Universitaetsmedizin Berlin, Germany
Received October 20, 2011; Accepted November 22, 2011; Published December 14, 2011
Copyright: 2011 Walcott et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: The authors have no support or funding to report. Competing Interests: The authors have declared that no competing interests exist. * E-mail: walcott.brian@mgh.harvard.edu ,
,
y
Received October 20, 2011; Accepted November 22, 2011; Published December 14, 2011
Copyright: 2011 Walcott et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: The authors have no support or funding to report. Competing Interests: The authors have declared that no competing interests exist. ceived October 20, 2011; Accepted November 22, 2011; Published December 14, 2011 Received October 20, 2011; Accepted November 22, 2011; Published December 14, 2011 Copyright: 2011 Walcott et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Copyright: 2011 Walcott et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Copyright: 2011 Walcott et al. This is an open-access article distributed under the terms of the Creative Commons Attribut
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Introduction infarction using the Nationwide Inpatient Sample (NIS), the
largest
all-payer
representative
sample
of
the
US
medical
community. The surgical treatment of life-threatening, space-occupying
cerebral edema following massive middle cerebral artery infarc-
tion, so-called ‘‘malignant’’ infarction, remains a controversial
issue. Historically, there has been a reluctance to perform this
operation given high rate of mortality and profound morbidity
associated with survivors. Until recently, only case series and
nonrandomized case control studies suggested any benefit of
decompressive craniectomy (DC).[1–8] Several recent randomized
controlled
trials have
demonstrated
improved
survival
and
functional outcome after DC in certain populations. [9–11] The
findings from these randomized controlled trials are recapitulated
in several recent reviews.[3] [12–13] We sought to identify trends
in the prevalence and outcomes of DC for malignant cerebral Brian P. Walcott1*, Elena V. Kuklina2, Brian V. Nahed1, Mary G. George2, Kristopher T. Kahle1, J. Marc
Simard3, Wael F. Asaad4, Jean-Valery C. E. Coumans1 Brian P. Walcott1*, Elena V. Kuklina2, Brian V. Nahed1, Mary G. George2, Kristopher T. Kahle1, J. Marc
Simard3, Wael F. Asaad4, Jean-Valery C. E. Coumans1 1 Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, 2 Division for Heart Disease
and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
of America, 3 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland, United States of America, 4 Department of Neurosurgery,
Brown University School of Medicine, Providence, Rhode Island, United States of America PLoS ONE | www.plosone.org Abstract Object: Randomized trials have demonstrated the efficacy of craniectomy for the treatment of malignant cerebral edema
following ischemic stroke. We sought to determine the prevalence and outcomes related to this by using a national
database. Methods: Patient discharges with ischemic stroke as the primary diagnosis undergoing craniectomy were queried from the
US Nationwide Inpatient Sample from 1999 to 2008. A subpopulation of patients was identified that underwent
thrombolysis. Two primary end points were examined: in-hospital mortality and discharge to home/routine care. To
facilitate interpretations, adjusted prevalence was calculated from the overall prevalence and two age-specific logistic
regression models. The predictive margin was then generated using a multivariate logistic regression model to estimate the
probability of in-hospital mortality after adjustment for admission type, admission source, length of stay, total hospital
charges, chronic comorbidities, and medical complications. Results: After excluding 71,996 patients with the diagnosis of intracranial hemorrhage and posterior intracranial circulation
occlusion, we identified 4,248,955 adult hospitalizations with ischemic stroke as a primary diagnosis. The estimated rates of
hospitalizations in craniectomy per 10,000 hospitalizations with ischemic stroke increased from 3.9 in 1999–2000 to 14.46 in
2007–2008 (p for linear trend,0.001). Patients 60+ years of age had in-hospital mortality of 44% while the 18–59 year old
group was found to be 24%(p = 0.14). Outcomes were comparable if recombinant tissue plasminogen activator had been
administered. Conclusions: Craniectomy is being increasingly performed for malignant cerebral edema following large territory cerebral
ischemia. We suspect that the increase in the annual incidence of DC for malignant cerebral edema is directly related to the
expanding collection of evidence in randomized trials that the operation is efficacious when performed in the correct
patient population. In hospital mortality is high for all patients undergoing this procedure. Citation: Walcott BP, Kuklina EV, Nahed BV, George MG, Kahle KT, et al. (2011) Craniectomy for Malignant Cerebral Infarction: Prevalence and Outcomes in US
Hospitals. PLoS ONE 6(12): e29193. doi:10.1371/journal.pone.0029193 Citation: Walcott BP, Kuklina EV, Nahed BV, George MG, Kahle KT, et al. (2011) Craniectomy for Malignant Cerebral Infarction: Prevalence and Outcomes in US
Hospitals. PLoS ONE 6(12): e29193. doi:10.1371/journal.pone.0029193
Editor: Andreas Meisel Charite´ Universitaetsmedizin Berlin Germany Citation: Walcott BP, Kuklina EV, Nahed BV, George MG, Kahle KT, et al. (2011) Craniectomy for Malignant Cerebral Infarction: Prevalence and Outcomes in US
Hospitals. PLoS ONE 6(12): e29193. Methods We studied the prevalence and outcomes of DC for malignant
cerebral infarction from 1999 to 2008 using data obtained from
the
Healthcare
Cost
and
Utilization
Project,
Agency
for
Healthcare Research and Quality (AHRQ) Rockville, MD.[14]
The NIS is a hospital discharge database that represents
approximately 20% of all inpatient admission to non-federal
hospitals in the US. The NIS contains discharge data on 100% of
discharges, an expanding, stratified random sample of 1,044 non-
federal hospitals from 40 states in 2008. Detailed information on December 2011 | Volume 6 | Issue 12 | e29193 1 PLoS ONE | www.plosone.org Craniectomy in Stroke Figure 1. Trends in intervention procedures among hospitalizations for ischemic stroke* (n = 4,248,855). Hospitalizations with ischemic
stroke listed as the primary diagnosis were identified using the first listed International Classification of Disease 9th Revision clinical modifier (ICD-9
CM) diagnostic codes 433.11, 433.31, 433.81, 433.91, 434.01, 434.11, 434.91, and 436). *Patients with the diagnosis of intracranial hemorrhage (ICD-9
CM diagnostic codes 430, 431, and 432.x) and patients with the diagnosis of posterior intracranial circulation occlusion (ICD-9 CM diagnostic codes
433.01 & 433.21) were excluded. NA: estimates are not reportable due to a small sample size. doi:10.1371/journal.pone.0029193.g001 Figure 1. Trends in intervention procedures among hospitalizations for ischemic stroke* (n = 4,248,855). Hospitalizations with ischemic
stroke listed as the primary diagnosis were identified using the first listed International Classification of Disease 9th Revision clinical modifier (ICD-9
CM) diagnostic codes 433.11, 433.31, 433.81, 433.91, 434.01, 434.11, 434.91, and 436). *Patients with the diagnosis of intracranial hemorrhage (ICD-9
CM diagnostic codes 430, 431, and 432.x) and patients with the diagnosis of posterior intracranial circulation occlusion (ICD-9 CM diagnostic codes
433.01 & 433.21) were excluded. NA: estimates are not reportable due to a small sample size. doi:10.1371/journal.pone.0029193.g001 430, 431, and 432.x were excluded. Also, patients with the
diagnosis of posterior intracranial circulation occlusion (ICD-9
CM diagnostic codes 433.01 & 433.21) were excluded. Then, the
core study population was established by selecting for those also
undergoing craniotomy (including DC), identified by ICD-9 CM
procedure codes 01.24 or 01.25. A subpopulation of the study
population was created using ICD-9 CM procedure code 99.10 to
identify those that received any form of thrombolysis. (As of 2008,
an ICD-9 CM code exists specifically for thrombolysis given at
referring, rather than admitting, hospitals. Hospitalizations with ischemic stroke listed as the primary diagnosis were identified using the first listed International Classification of Disease 9th Revision clinical
modifier (ICD-9 CM) diagnostic codes 433.11, 433.31, 433.81, 433.91, 434.01, 434.11, 434.91, and 436).
*Patients with the diagnosis of intracranial hemorrhage (ICD-9 CM diagnostic codes 430, 431, and 432.x) and patients with the diagnosis of posterior intracranial
circulation occlusion (ICD-9 CM diagnostic codes 433.01 & 433.21) were excluded.
NR: estimates are not reportable due to a small sample size.
doi:10.1371/journal.pone.0029193.t001 Methods However, we specifi-
cally did not analyze this due to the absence of the code in the the design of the NIS is available at http://www.hcup-us.ahrq. gov. The NIS includes .100 clinical and non-clinical variables for
each hospital stay. These include diagnoses, procedures, admission
and discharge status, demographics, charges, and lengths of stay. Patients registered in the NIS from 1999 to 2008 were included
in the analysis. Those with ischemic stroke listed as the primary
diagnosis were identified using the first listed International
Classification of Disease 9th Revision clinical modifier (ICD-9
CM) diagnostic codes 433.11, 433.31, 433.81, 433.91, 434.01,
434.11,
434.91,
and
436). Patients
with
the
diagnosis
of
intracranial hemorrhage identified by ICD-9 CM diagnostic codes Table 1. Trends in intervention procedures among hospitalizations for ischemic stroke* (n = 4,248,855), Nationwide Inpatient
Sample, 1999-2008. 1999-00
2001-02
2003-04
2005-06
2007-08
Hospitalizations with ischemic stroke (weighted)
Total hospitalizations
909,064
883,209
830,751
803,241
822,691
Intervention group
DC + rtPA
NR
27
36
97
174
DC only
346
316
435
669
1,016
rtPA only
8,374
8,887
10,509
16,850
24,619
DC, overall
351
343
471
766
1,190
Prevalence, per 10,000 hospitalizations with ischemic stroke
DC + rtPA
0.05 (0.00)
0.30 (0.00)
0.43 (0.00)
1.21 (0.00)
2.11 (0.00)
DC only
3.81 (0.01)
3.58 (0.00)
5.24 (0.01)
8.33 (0.01)
12.35 (0.01)
rtPA only
92.11 (0.04)
100.6 (0.05)
126.5 (0.08)
209.8 (0.10)
299.3 (0.11)
DC, overall
3.86 (0.01)
3.88 (0.00)
5.67 (0.01)
9.54 (0.01)
14.46 (0.01)
Hospitalizations with ischemic stroke listed as the primary diagnosis were identified using the first listed International Classification of Disease 9th Revision clinical
modifier (ICD-9 CM) diagnostic codes 433.11, 433.31, 433.81, 433.91, 434.01, 434.11, 434.91, and 436). *Patients with the diagnosis of intracranial hemorrhage (ICD-9 CM diagnostic codes 430, 431, and 432.x) and patients with the diagnosis of posterior intracranial
circulation occlusion (ICD-9 CM diagnostic codes 433.01 & 433.21) were excluded. NR: estimates are not reportable due to a small sample size. doi:10.1371/journal.pone.0029193.t001 Table 1. Trends in intervention procedures among hospitalizations for ischemic stroke* (n = 4,248,855)
Sample, 1999-2008. rvention procedures among hospitalizations for ischemic stroke* (n = 4,248,855), Nationwide Inpatient Hospitalizations with ischemic stroke listed as the primary diagnosis were identified using the first listed International Classification of Disease 9th Revision clinical
modifier (ICD-9 CM) diagnostic codes 433.11, 433.31, 433.81, 433.91, 434.01, 434.11, 434.91, and 436). Methods *Patients with the diagnosis of intracranial hemorrhage (ICD-9 CM diagnostic codes 430, 431, and 432.x) and patients with the diagnosis of posterior intracranial
circulation occlusion (ICD-9 CM diagnostic codes 433.01 & 433.21) were excluded. NR: estimates are not reportable due to a small sample size. doi:10.1371/journal.pone.0029193.t001 December 2011 | Volume 6 | Issue 12 | e29193 PLoS ONE | www.plosone.org 2 Craniectomy in Stroke Table 2. Numbers and prevalence of decompressive craniectomy with and without rtPA among hospitalizations for ischemic
stroke* by age (n = 4,248,955), Nationwide Inpatient Sample, 1999–2008. Intervention group
All
18–59 years
60+ years
Hospitalizations with ischemic stroke (weighted)
DC + rtPA
338
237
101
DC only
2,783
1,784
999
DC, overall
3,121
2,021
1,099
Prevalence, per 10,000 hospitalizations with ischemic stroke
DC + rtPA
0.80 (0.00)
2.99 (0.00)
0.29 (0.00)
DC only
6.55 (0.00)
22.44 (0.01)
2.89 (0.00)
DC, overall
7.35 (0.00)
25.43 (0.02)
3.18 (0.00)
Hospitalizations with ischemic stroke listed as the primary diagnosis were identified using the first listed International Classification of Disease 9th Revision clinical
modifier (ICD-9 CM) diagnostic codes 433.11, 433.31, 433.81, 433.91, 434.01, 434.11, 434.91, and 436). *Patients with the diagnosis of intracranial hemorrhage (ICD-9 CM diagnostic codes 430, 431, and 432.x) and patients with the diagnosis of posterior intracranial
circulation occlusion (ICD-9 CM diagnostic codes 433.01 & 433.21) were excluded. doi:10.1371/journal.pone.0029193.t002 Table 2. Numbers and prevalence of decompressive craniectomy with and without rtPA among hospitalizations for ischemic
stroke* by age (n = 4,248,955), Nationwide Inpatient Sample, 1999–2008. Hospitalizations with ischemic stroke listed as the primary diagnosis were identified using the first listed International Classification of Disease 9th Revision clinical
modifier (ICD-9 CM) diagnostic codes 433.11, 433.31, 433.81, 433.91, 434.01, 434.11, 434.91, and 436). *Patients with the diagnosis of intracranial hemorrhage (ICD-9 CM diagnostic codes 430, 431, and 432.x) and patients with the diagnosis of posterior intracranial
circulation occlusion (ICD-9 CM diagnostic codes 433.01 & 433.21) were excluded. doi:10.1371/journal.pone.0029193.t002 among
hospitalizations
with
ischemic
stroke
in
the
same
dataset.[19] remainder of the study years). No variables for the timing of
surgery, dimensions of bony decompression, stroke severity, or
procedure laterality exist in the NIS dataset. Two primary end points were examined: in-hospital mortality
percentage and discharge to institutions other than home. Results During 199922008 we identified 884,729 adult hospitalizations
with ischemic stroke as a primary diagnosis in the NIS, representing
4,320,950 hospitalizations across the United States during this time
period. (Figure 1) After excluding 71,995 patients with the diagnosis
of intracranial hemorrhage and patients with the diagnosis of
posterior intracranial circulation occlusion, our sample size was
4,248,955 hospitalizations. The estimated rates of hospitalizations in
DC per 10,000 hospitalizations with ischemic stroke increased from
3.9 in 1999–2000 to 14.46 in 2007–2008 (p for linear trend,0.001)
(Table 1). In 2007–2008, 1 out of 7 hospitalizations with DC also
had performed intravenous thrombolysis with rtPA (recombinant
tissue plasminogen activator). The rates of DC by two age groups
are presented in table 2. The 18–59 year old group had significantly
higher rates compared to 60+ year old group. Patient age, sex, primary payer (public, private, and others),
type of admission (emergency, urgent, elective), admission source
(emergency room, transfer from another hospital, transfer from
long term care, and routine), hospital region (Northeast, Midwest,
South, or West), hospital location and status (urban-teaching,
urban-nonteaching, and rural), and bed size (small, medium,
large), length of stay (days, continuous) and total hospital charges
(US dollars, continuous) were coded in the NIS data. Hospital
charges were converted to United States 2008 dollars using all-
cities Consumer Price Index (http://data.bls.gov/cgi-bin/cpicalc. pl) Medical comorbidities were defined using markers described by
Elixhauser et al[17] and calculated by use of the AHRQ software
publically available at http://www.hcup-us.ahrq.gov/toolssoft-
ware/comorbidity/comorbidity.jsp. We selected nine co-morbid-
ity conditions (congestive heart failure, peripheral vascular disease,
hypertension, paralysis, other neurological disorders, chronic
pulmonary disease, diabetes with chronic complications, renal
failure and coagulopathy) based on the significance of associations
with in-hospital mortality reported in the previous studies.[18] We
also identified four medical complications by searching the
secondary diagnostic codes (ICD-9-CM codes) for pneumonia,
deep vein thrombosis, pulmonary embolism, and acute myocardial
infarction that were significant predictors of in-hospital mortality Among hospitalizations with ‘‘DC + rtPA’’, in-hospital mortality
was higher among 60+ years old group compared to 18–59 years old
group (44% vs. 24%), although the difference did not reach statistical
significance (p =0.14) (Table 3). However, the difference was not
statistically significant after adjustment for admission type, admission
source, length of stay, total hospital charges, chronic comorbidities,
and medical complications. Among hospitalizations with ‘‘DC only’’,
differences in both unadjusted and adjusted in-hospital mortality rates
between two age groups were highly non-significant. Methods To
facilitate interpretations, adjusted prevalence was calculated from
the overall and two age-specific logistic regression models using the
PREDMARG statement in SUDAAN.[20] The adjusted percent-
age, also known as predictive margin, was generated using the
logistic regression model to estimate the probability of in-hospital
mortality or probability of home care discharge status, averaging
over the distribution of the covariates among the entire weighted
sample. The reported percentage estimates were adjusted for
survey design as well as the covariates listed above. The unit of analysis was the hospital discharge. The rates of DC
per 10,000 hospitalizations with ischemic stroke were assessed
across 5 time intervals: 1999–2000, 200122002, 200322004,
200522006, and 200722008. We have chosen this time frame
since the procedure code for infusion of thrombolytic agent (ICD-
9-CM 99.10) was first introduced in October 1998. Orthogonal
polynomial coefficients were obtained recursively by the method of
Fisher and Yates to test linear trends for the two year intervals. The rates of DC per 10,000 hospitalizations with ischemic stroke
were also reported between these two age groups: 18–59 and 60+
years. We focused our analysis on these two groups since age is
considered a major prognostic factor of functional recovery after
brain infarction in general (and malignant infarction in particular)
and randomized trials have focused on patient of 60 years and
younger.[15–16] Differences in rates of craniectomy by two age
groups were compared by using chi-square tests. December 2011 | Volume 6 | Issue 12 | e29193 PLoS ONE | www.plosone.org Results Among 18–59 years old hospitalizations, no differences existed
for in-hospital mortality and disposition status between ‘‘DC + PLoS ONE | www.plosone.org December 2011 | Volume 6 | Issue 12 | e29193 December 2011 | Volume 6 | Issue 12 | e29193 PLoS ONE | www.plosone.org 3 Craniectomy in Stroke Table 3. In-hospital mortality and routine disposition among hospitalizations for ischemic stroke by intervention group and age (N
weighted = 3,121), Nationwide Inpatient Sample, 1999–2008. rtPA’’ and ‘‘DC only’’ in both unadjusted and adjusted analysis. A
th
60+
ld h
it li
ti
‘‘DC +
tPA’’
vs. 26%, p = 0.56). In the ‘‘DC + rtPA’’ group, no hospitalizations
ith
ti
/h
di
iti
t t
b
d
p-value for difference 18–
59 years vs. 60+
Intervention group
All
18–59 years
60+ years
Hospitalizations (weighted)
DC + rtPA
338
237
101
DC only
2,783
1,784
999
DC, overall
3,121
2,021
1,100
In-hospital mortality: Estimated percentage, %
Unadjusted
DC + rtPA
30.39 (0.06)
24.43 (0.06)
43.82 (0.12)
.14
DC only
23.39 (0.02)
22.63 (0.02)
24.73 (0.02)
.57
p-value for difference
DC + rtPA vs. DC only
.23
.77
.11
Adjusted: Model 1*
DC + rtPA
30.81 (0.06)
24.55 (0.06)
43.13 (0.12)
.16
DC only
23.56 (0.02)
22.97 (0.02)
24.75 (0.02)
.68
p-value for difference
DC + rtPA vs. DC only
.25
.81
.13
Adjusted: Model 2*
DC + rtPA
26.49 (0.04)
23.79 (0.06)
29.68 (0.07)
.56
DC only
23.79 (0.02)
23.00 (0.02)
25.51 (0.03)
.53
p-value for difference
DC + rtPA vs. DC only
.56
.89
.59
Routine/home care disposition: Estimated percentage, %
Unadjusted
DC + rtPA
10.31 (0.06)
15.49
0
NA
DC only
11.61 (0.04)
11.76
10.16
.32
p-value for difference
DC + rtPA vs. DC only
.89
.82
NA
Adjusted: Model 1*
DC + rtPA
17.11 (0.06)
24.53 (0.08)
0
NA
DC only
13.11 (0.01)
13.10 (0.02)
13.11 (0.03)
.99
p-value for difference
DC + rtPA vs. DC only
.50
.16
NA
Adjusted: Model 2**
DC + rtPA
19.18 (0.06)
26.53 (0.08)
0
NA
DC only
12.69 (0.02)
12.82 (0.02)
12.43 (0.03)
.92
p-value for difference
DC + rtPA vs. Results **Model 2: Average Marginal Prediction: percentage estimates are adjusted for survey design as well as model covariates (all variables in the model 1 + length of stay
(days, continuous) and total charges (US dollars, continuous). doi:10.1371/journal.pone.0029193.t003 vs. 26%, p = 0.56). In the ‘‘DC + rtPA’’ group, no hospitalizations
with routine/home care disposition status were observed. rtPA’’ and ‘‘DC only’’ in both unadjusted and adjusted analysis. Among the 60+ year old hospitalization group, ‘‘DC + rtPA’’
group had a higher in-hospital mortalty rate (44% vs. 25%,
respectively) compared to ‘‘DC only’’ group (although the
difference did not reach statistical significance, p = 0.14). The
difference became highly non-significant after adjustment for
admission type, admission source, length of stay, total hospital
charges, chronic comorbidities, and medical complications (30% Results DC only
.31
.10
NA
*Model 1: Average Marginal Prediction: percentage estimates are adjusted for survey design as well as model covariates (gender, hospital region (Northeast, Midwest,
South, or West), hospital location and status (urban-teaching, urban-nonteaching, and rural), type of admission (emergency, urgent, elective), admission status
(emergency room, transfer from another hospital, transfer from long term care, and routine), payer (public, private, and others), hospital bed size (small, medium, and
large), congestive heart failure, peripheral vascular disease, hypertension, paralysis, other neurological disorders, chronic pulmonary disease, diabetes with chronic
complications, renal failure, coagulopathy, pneumonia, pulmonary embolism, acute myocardial infarction, and deep venous thrombosis. **Model 2: Average Marginal Prediction: percentage estimates are adjusted for survey design as well as model covariates (all variables in the model 1 + length of stay
(days, continuous) and total charges (US dollars, continuous). doi:10.1371/journal.pone.0029193.t003 *Model 1: Average Marginal Prediction: percentage estimates are adjusted for survey design as well as model covariates (gender, hospital region (Northeast, Midwest,
South, or West), hospital location and status (urban-teaching, urban-nonteaching, and rural), type of admission (emergency, urgent, elective), admission status
(emergency room, transfer from another hospital, transfer from long term care, and routine), payer (public, private, and others), hospital bed size (small, medium, and
large), congestive heart failure, peripheral vascular disease, hypertension, paralysis, other neurological disorders, chronic pulmonary disease, diabetes with chronic
complications, renal failure, coagulopathy, pneumonia, pulmonary embolism, acute myocardial infarction, and deep venous thrombosis. **Model 2: Average Marginal Prediction: percentage estimates are adjusted for survey design as well as model covariates (all variables in the model 1 + length of stay
(days, continuous) and total charges (US dollars, continuous). doi:10.1371/journal.pone.0029193.t003 *Model 1: Average Marginal Prediction: percentage estimates are adjusted for survey design as well as model covariates (gender, hospital region (Northeast, Midwest,
South, or West), hospital location and status (urban-teaching, urban-nonteaching, and rural), type of admission (emergency, urgent, elective), admission status
(emergency room, transfer from another hospital, transfer from long term care, and routine), payer (public, private, and others), hospital bed size (small, medium, and
large), congestive heart failure, peripheral vascular disease, hypertension, paralysis, other neurological disorders, chronic pulmonary disease, diabetes with chronic
complications, renal failure, coagulopathy, pneumonia, pulmonary embolism, acute myocardial infarction, and deep venous thrombosis. Discussion We studied a population of patients undergoing craniectomy
after inpatient admission for ischemic stroke by using a nationally
representative hospital discharge database. The results of our December 2011 | Volume 6 | Issue 12 | e29193 PLoS ONE | www.plosone.org December 2011 | Volume 6 | Issue 12 | e29193 4 Craniectomy in Stroke previously reported randomized trials and metaanalysis when
considering age group.[9–10] [15] While the strength of this study
is its large cohort size, an inherent deficiency is that long term
outcomes, quality of life, and neurological status are unable to be
determined. analysis
showed
that
the
annual
number
of
craniotomies
performed for this condition increased significantly and rapidly
during the studied years, from 1999–2008. This large, inclusive
cohort likely identifies outcomes related to actual practice patterns
rather than those found in carefully selected and controlled
randomized trials. It should be noted that a manuscript analyzing the same topic of
DC for stroke was published during the editing phase of this
manuscript. Alshekhlee et al. came to a completely different
conclusion, that the prevalence is the same over a similar time
period. [36] While the same database was analyzed over a slightly
different time period, their analysis only identified 252 patients
undergoing DC (whereas our study identified 3121 patients) for
ischemic stroke. These small numbers, in combination with only
502,231 patients identified as having an acute ischemic stroke,
raises the possibility that the investigators did not perform a valid,
accurate weighted analysis to determine true nationwide estimates. Conclusion DC is being increasingly performed for malignant cerebral
edema following large territory cerebral ischemia. We ascertain
that the increase in the annual incidence of DC for malignant
cerebral edema is directly related to the expanding collection of
evidence in randomized trials that the operation is efficacious
when performed in the correct patient population. In hospital
mortality is high for all patients undergoing this procedure, with
the highest being in those greater than 60 years of age. While in-hospital mortality tended to be higher in the 60+ age
group, adjustment resulted in no identifiable difference between
the two groups. We suspect that this finding relates to the higher
incidence of brain herniation in this population and is heavily
influenced by medical complications & comorbidities across all
ages. The in-hospital mortality associated with surgical interven-
tion is high in this cohort (range = 23243%) and comparable to Discussion While in-hospital mortality tended to be higher in the 60+ age
group, adjustment resulted in no identifiable difference between
the two groups. We suspect that this finding relates to the higher
incidence of brain herniation in this population and is heavily
influenced by medical complications & comorbidities across all
ages. The in-hospital mortality associated with surgical interven-
tion is high in this cohort (range = 23243%) and comparable to The pathophysiology of malignant cerebral edema is complex,
but ultimately can be traced to the metabolic and hemodynamic
changes that result in breakdown of the blood brain barrier. [31–
32] Importantly, the use of rtPA in animal models has been shown
to promote disruption of the blood-brain barrier that results in
edema.[33] It is unclear how much the use of rtPA has to do with
the development of malignant cerebral edema in humans. Patients
in the subpopulation of our analysis that received rtPA had a
comparable mortality following DC.[34] Confounding factors not
accounted for when assessing the outcome of DC following rtPA
include bias introduced from variability in stroke severity, access to
care, and clinical presentation that correspond to the guidelines for
safe rtPA administration.[35] In this respect, rtPA administration
can be thought of as a general surrogate marker for these factors. 1. Delashaw JB, Broaddus WC, Kassell NF, Haley EC, Pendleton GA, et al. (1990)
Treatment of right hemispheric cerebral infarction by hemicraniectomy. Stroke
21: 874–881. Author Contributions Conceived and designed the experiments: BPW EVK. Performed the
experiments: BPW EVK WFA. Analyzed the data: BPW EVK BVN MGG
JMS JVCEC. Contributed reagents/materials/analysis tools: EVK MGG. Wrote the paper: BPW EVK BVN MGG KTK JMS WFA JVCEC. Discussion In the early modern era of neurosurgery, DC was thoughtfully
employed to alleviate elevated intracranial pressure.[21–22] Since
the first use of DC as a specific treatment for the sequelae of stroke
came in 1956, many studies have demonstrated evidence for its
efficacy.[23–26] Although these studies demonstrate increases in
overall survival in selected patients, consideration of quality of life
measures and functional outcomes have limited its use.[3][27] In
recent years, several randomized controlled trials were performed
that demonstrated efficacy of DC for large territory cerebral stroke
in patients generally less than 60 years of age.[9–11] There has
also been evidence to reverse the longstanding dogma that
dominant hemispheric stroke is associated with worse out-
comes.[28–30] We suspect that the increase in the annual
incidence of DC for malignant cerebral edema is directly related
to the expanding collection of evidence in randomized trials that
the operation is efficacious when performed in the correct patient
population. Limitations of our analysis reflect inherent deficiencies of a
nationwide, administrative database. Although coding for proce-
dures in administrative data have been shown to be reliable,
coding for medical complications and chronic co-morbidities may
be prone to coding bias resulting in high specificity but low
sensitivity selection.[37] Disposition status to home care must be
interpreted with caution as there is no modifier available to denote
situations such as comfort measures or home hospice care. There
is no accounting for the timing of surgery, extent of bony
decompression, stroke severity, or operative laterality in this
dataset. p p
The pathophysiology of malignant cerebral edema is complex,
but ultimately can be traced to the metabolic and hemodynamic
changes that result in breakdown of the blood brain barrier. [31–
32] Importantly, the use of rtPA in animal models has been shown
to promote disruption of the blood-brain barrier that results in
edema.[33] It is unclear how much the use of rtPA has to do with
the development of malignant cerebral edema in humans. Patients
in the subpopulation of our analysis that received rtPA had a
comparable mortality following DC.[34] Confounding factors not
accounted for when assessing the outcome of DC following rtPA
include bias introduced from variability in stroke severity, access to
care, and clinical presentation that correspond to the guidelines for
safe rtPA administration.[35] In this respect, rtPA administration
can be thought of as a general surrogate marker for these factors. 6. Wirtz CR, Steiner T, Aschoff A, Schwab S, Schnippering H, et al. (1997)
Hemicraniectomy with dural augmentation in medically uncontrollable
hemispheric infarction. Neurosurg Focus 2: E3; discussion 1 p followingE3. 2. Schwab S, Steiner T, Aschoff A, Schwarz S, Steiner HH, et al. (1998) Early
hemicraniectomy in patients with complete middle cerebral artery infarction.
Stroke 29: 1888–1893. 8. Kondziolka D, Fazl M (1988) Functional recovery after decompressive
craniectomy for cerebral infarction. Neurosurgery 23: 143–147. References 9. Hofmeijer J, Kappelle LJ, Algra A, Amelink GJ, van Gijn J, et al. (2009) Surgical
decompression for space-occupying cerebral infarction (the Hemicraniectomy
After Middle Cerebral Artery infarction with Life-threatening Edema Trial
[HAMLET]): a multicentre, open, randomised trial. Lancet Neurol 8: 326–333. 2. Schwab S, Steiner T, Aschoff A, Schwarz S, Steiner HH, et al. (1998) Early
hemicraniectomy in patients with complete middle cerebral artery infarction. Stroke 29: 1888–1893. 10. Ju¨ttler E, Schwab S, Schmiedek P, Unterberg A, Hennerici M, et al. (2007)
Decompressive Surgery for the Treatment of Malignant Infarction of the Middle
Cerebral Artery (DESTINY): a randomized, controlled trial. Stroke 38:
2518–2525. 3. Gupta R, Connolly ES, Mayer S, Elkind MSV (2004) Hemicraniectomy for
Massive Middle Cerebral Artery Territory Infarction: A Systematic Review. Stroke 35: 539–543. 11. Vahedi K, Vicaut E, Mateo J, Kurtz A, Orabi M, et al. (2007) Sequential-design,
multicenter, randomized, controlled trial of early decompressive craniectomy in
malignant middle cerebral artery infarction (DECIMAL Trial). Stroke 38:
2506–2517. 4. Carter BS, Ogilvy CS, Candia GJ, Rosas HD, Buonanno F (1997) One-year
outcome after decompressive surgery for massive nondominant hemispheric
infarction. Neurosurgery 40: 1168–1175;discussion 1175-1176. 12. Schneck MJ, Origitano TC (2008) Hemicraniectomy and durotomy for
malignant middle cerebral artery infarction. Neurosurg. Clin. N. Am 19:
459–468, vi. 5. Uhl E, Kreth FW, Elias B, Goldammer A, Hempelmann RG, et al. (2004)
Outcome and prognostic factors of hemicraniectomy for space occupying
cerebral infarction. J. Neurol. Neurosurg. Psychiatr 75: 270–274. 13. Schirmer CM, Ackil AA, Jr., Malek AM (2008) Decompressive Craniectomy. Neurocrit Care 8: 456–470. doi:10.1007/s12028-008-9082-y. 6. Wirtz CR, Steiner T, Aschoff A, Schwab S, Schnippering H, et al. (1997)
Hemicraniectomy with dural augmentation in medically uncontrollable
hemispheric infarction. Neurosurg Focus 2: E3; discussion 1 p followingE3. 14. HCUP Nationwide Inpatient Sample (NIS). Healthcare Cost and Utilization
Project (HCUP) (1992) Available: http://www.hcup-us.ahrq.gov/nisoverview. jsp. Accessed 2011 Nov 23. 7. Steiger HJ (1991) Outcome of acute supratentorial cerebral infarction in patients
under 60. Development of a prognostic grading system. Acta Neurochir (Wien)
111: 73–79. 15. Arac A, Blanchard V, Lee M, Steinberg GK (2009) Assessment of outcome
following decompressive craniectomy for malignant middle cerebral artery
infarction in patients older than 60 years of age. Neurosurg Focus 26: E3. 8. Kondziolka D, Fazl M (1988) Functional recovery after decompressive
craniectomy for cerebral infarction. Neurosurgery 23: 143–147. 8. Kondziolka D, Fazl M (1988) Functional recovery after decompressive
craniectomy for cerebral infarction. References Neurosurgery 23: 143–147. PLoS ONE | www.plosone.org 5 December 2011 | Volume 6 | Issue 12 | e29193 December 2011 | Volume 6 | Issue 12 | e29193 Craniectomy in Stroke 16. Simard JM, Sahuquillo J, Sheth KN, Kahle KT, Walcott BP (2011) Managing
malignant cerebral infarction. Curr Treat Options Neurol 13: 217–229. improved survival but poor functional outcome. J Neurol Neurosurg Psychiatry
70: 226–228. improved survival but poor functional outcome. J Neurol Neurosurg Psychiatry
70: 226–228. g
p
17. Elixhauser A, Steiner C, Harris DR, Coffey RM (1998) Comorbidity measures
for use with administrative data. Med Care 36: 8–27. 28. Kastrau F, Wolter M, Huber W, Block F (2005) Recovery from aphasia after
hemicraniectomy for infarction of the speech-dominant hemisphere. Stroke 36:
825–829. g
p
17. Elixhauser A, Steiner C, Harris DR, Coffey RM (1998) C for use with administrative data. Med Care 36: 8–27. 18. Zhu H, Hill MD (2008) Stroke: the Elixhauser Index for comorbidity adjustment
of in-hospital case fatality. Neurology 71: 283–287. 29. Palestrant D, Frontera J, Mayer S (2005) Treatment of massive cerebral
infarction. Current Neurology and Neuroscience Reports 5: 494–502. 19. Tong X, Kuklina EV, Gillespie C, George MG (2010) Medical complications
among hospitalizations for ischemic stroke in the United States from 1998 to
2007. Stroke 41: 980–986. 30. Kerkhoff G (2001) Spatial hemineglect in humans. Prog. Neurobiol 63: 1–27. 31. Gasche Y, Copin J-C (2003) [Blood-brain barrier pathophysiology and
ischaemic brain oedema]. Ann Fr Anesth Reanim 22: 312–319. 20. Bieler GS, Brown GG, Williams RL, Brogan DJ (2010) Estimating model-
adjusted risks, risk differences, and risk ratios from complex survey data. Am. J Epidemiol 171: 618–623. ]
32. Heo JH, Han SW, Lee SK (2005) Free radicals as triggers of brain edema
formation after stroke. Free Radic. Biol. Med 39: 51–70. 32. Heo JH, Han SW, Lee SK (2005) Free radicals as trigger formation after stroke. Free Radic. Biol. Med 39: 51–70. 21. Cushing H (1905) The establishment of cerebral hernia as a decompressive
measure for inaccessible brain tumors; with the description of intermuscular
methods of making the bone defect in temporal and occipital regions. Surg
Gynecol Obstet. pp 297. 33. Tsuji K, Aoki T, Tejima E, Arai K, Lee S-R, et al. (2005) Tissue Plasminogen
Activator Promotes Matrix Metalloproteinase-9 Upregulation After Focal
Cerebral Ischemia. Stroke 36: 1954–1959. 34. PLoS ONE | www.plosone.org References Kleindorfer D, Lindsell CJ, Brass L, Koroshetz W, Broderick JP (2008) National
US estimates of recombinant tissue plasminogen activator use: ICD-9 codes
substantially underestimate. Stroke 39: 924–928. 22. Dandy WE (1937) Intracranial Pressure Without Brain Tumor: Diagnosis and
Treatment. Ann. Surg 106: 492–513. g
23. Scarcella G (1956) Encephalomalacia simulating the clinical and radiological
aspects of brain tumor; a report of 6 cases. J Neurosurg. 278 p. 35. Adams HP, del Zoppo G, Alberts MJ, Bhatt DL, Brass L, et al. (2007) Guidelines
for the Early Management of Adults With Ischemic Stroke: A Guideline From
the American Heart Association/American Stroke Association Stroke Council,
Clinical Cardiology Council, Cardiovascular Radiology and Intervention
Council, and the Atherosclerotic Peripheral Vascular Disease and Quality of
Care Outcomes in Research Interdisciplinary Working Groups: The American
Academy of Neurology affirms the value of this guideline as an educational tool
for neurologists. Circulation 115: e478–534. 24. Pillai A, Menon SK, Kumar S, Rajeev K, Kumar A, et al. (2007) Decompressive
hemicraniectomy in malignant middle cerebral artery infarction: an analysis of
long-term outcome and factors in patient selection. J Neurosurg 106: 59–65. 25. Rabinstein AA, Mueller-Kronast N, Maramattom BV, Zazulia AR, Bamlet WR,
et al. (2006) Factors predicting prognosis after decompressive hemicraniectomy
for hemispheric infarction. Neurology 67: 891–893. 26. Foerch C, Lang JM, Krause J, Raabe A, Sitzer M, et al. (2004) Functional
impairment, disability, and quality of life outcome after decompressive
hemicraniectomy in malignant middle cerebral artery infarction. J Neurosurg
101: 248–254. 36. Alshekhlee A, Horn C, Jung R, Alawi AA, Cruz-Flores S (2011) In-hospital
mortality in acute ischemic stroke treated with hemicraniectomy in US hospitals. J Stroke Cerebrovasc Dis 20: 196–201. 37. Ingeman A, Andersen G, Hundborg HH, Johnsen SP (2010) Medical
complications in patients with stroke: data validity in a stroke registry and a
hospital discharge registry. Clin Epidemiol 2: 5–13. 27. Holtkamp M, Buchheim K, Unterberg A, Hoffmann O, Schielke E, et al. (2001)
Hemicraniectomy in elderly patients with space occupying media infarction: PLoS ONE | www.plosone.org December 2011 | Volume 6 | Issue 12 | e29193 6
|
https://openalex.org/W2615990115
|
http://www.tara.tcd.ie/bitstream/2262/91753/1/f1000research-6-12627.pdf
|
English
| null |
Metabolic reprogramming during the Trypanosoma brucei life cycle
|
F1000Research
| 2,017
|
cc-by
| 11,216
|
REVIEW
Metabolic reprogramming during the Trypanosoma
life cycle
brucei
[version 2; referees: 4 approved] Equal contributors
* Open Peer Review
Referee Status:
Invited Referees
version 2
published
18 May 2017
version 1
published
16 May 2017
1
2
3
4 16 May 2017, (F1000 Faculty Rev):683 (doi:
First published:
6
)
10.12688/f1000research.10342.1
18 May 2017, (F1000 Faculty Rev):683 (doi:
Latest published:
6
)
10.12688/f1000research.10342.2
v2 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 Open Peer Review
REVIEW
Metabolic reprogramming during the Trypanosoma
life cycle
brucei
[version 2; referees: 4 approved]
Terry K. Smith ,
Frédéric Bringaud , Derek P. Nolan , Luisa M. Figueiredo
4
Biomedical Sciences Research Complex, University of St Andrews, Fife, UK
Laboratoire de Microbiologie Fondamentale et Pathogénicité (MFP), UMR 5234 CNRS, Université de Bordeaux, Bordeaux, France
School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
Equal contributors
Abstract
Cellular metabolic activity is a highly complex, dynamic, regulated process that
is influenced by numerous factors, including extracellular environmental
signals, nutrient availability and the physiological and developmental status of
the cell. The causative agent of sleeping sickness,
, is an
Trypanosoma brucei
exclusively extracellular protozoan parasite that encounters very different
extracellular environments during its life cycle within the mammalian host and
tsetse fly insect vector. In order to meet these challenges, there are significant
alterations in the major energetic and metabolic pathways of these highly
adaptable parasites. This review highlights some of these metabolic changes in
this early divergent eukaryotic model organism. 1*
2*
3
4
1
2
3
4
*
Referee Status:
Invited Referees
version 2
published
18 May 2017
version 1
published
16 May 2017
1
2
3
4
16 May 2017, (F1000 Faculty Rev):683 (doi:
First published:
6
)
10.12688/f1000research.10342.1
18 May 2017, (F1000 Faculty Rev):683 (doi:
Latest published:
6
)
10.12688/f1000research.10342.2
v2 Abstract 16 May 2017, (F1000 Faculty Rev):683 (doi:
)
First published:
6
10.12688/f1000research.10342.1
Republic
Canadian Institute for Advanced Research
Canada
, Center for Infectious
Kenneth Stuart
Disease Research USA
2
, National University of
Cynthia He Yingxin
Singapore Singapore
3
, Yale University USA
Christian Tschudi
4
F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 This is an open access article distributed under the terms of the
, which
Copyright:
et al
Creative Commons Attribution Licence
permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. TKS is supported by the Wellcome Trust, the Biotechnology and Biological Sciences Research Council, the Engineering and
Grant information:
Physical Sciences Research Council, the Medical Research Council (MR/M020118/1) and the European Community Seventh Framework
Programme under grant agreement 602773 (Project KINDRED). FB is supported by the Centre National de la Recherche Scientifique (CNRS), the
Université de Bordeaux, the Agence Nationale de la Recherche (ANR) through the GLYCONOV grant (ANR-15-CE15-0025-01) of the ‘Générique’
2015 call and the Laboratoire d’Excellence (LabEx) ParaFrap (grant ANR-11-LABX-0024). DPN is supported by the Wellcome Trust and Science
Foundation Ireland. LMF is supported by the Howard Hughes Medical Institute (55007419) and the Fundação para a Ciência e a Tecnologia (FCT)
(PTDC/BIM-MET/4471/2014). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors declare that they have no competing interests. 16 May 2017, (F1000 Faculty Rev):683 (doi:
)
First published:
6
10.12688/f1000research.10342.1 Luisa M. Figueiredo (
)
Corresponding author:
lmf@medicina.ulisboa.pt Luisa M. Figueiredo (
)
Corresponding author:
lmf@medicina.ulisboa.pt
Smith TK, Bringaud F, Nolan DP and Figueiredo LM. How to cite this article:
Metabolic reprogramming during the
life
Trypanosoma brucei
2017, (F1000 Faculty Rev):683 (doi:
)
cycle [version 2; referees: 4 approved] F1000Research
6
10.12688/f1000research.10342.2
© 2017 Smith TK
. This is an open access article distributed under the terms of the
, which
Copyright:
et al
Creative Commons Attribution Licence
permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. TKS is supported by the Wellcome Trust, the Biotechnology and Biological Sciences Research Council, the Engineering and
Grant information:
Physical Sciences Research Council, the Medical Research Council (MR/M020118/1) and the European Community Seventh Framework
Programme under grant agreement 602773 (Project KINDRED). FB is supported by the Centre National de la Recherche Scientifique (CNRS), the
Université de Bordeaux, the Agence Nationale de la Recherche (ANR) through the GLYCONOV grant (ANR-15-CE15-0025-01) of the ‘Générique’
2015 call and the Laboratoire d’Excellence (LabEx) ParaFrap (grant ANR-11-LABX-0024). DPN is supported by the Wellcome Trust and Science
Foundation Ireland. F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 Discuss this article
(0)
Comments
Luisa M. Figueiredo (
)
Corresponding author:
lmf@medicina.ulisboa.pt
Smith TK, Bringaud F, Nolan DP and Figueiredo LM. How to cite this article:
Metabolic reprogramming during the
life
Trypanosoma brucei
2017, (F1000 Faculty Rev):683 (doi:
)
cycle [version 2; referees: 4 approved] F1000Research
6
10.12688/f1000research.10342.2
© 2017 Smith TK
. This is an open access article distributed under the terms of the
, which
Copyright:
et al
Creative Commons Attribution Licence
permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. TKS is supported by the Wellcome Trust, the Biotechnology and Biological Sciences Research Council, the Engineering and
Grant information:
Physical Sciences Research Council, the Medical Research Council (MR/M020118/1) and the European Community Seventh Framework
Programme under grant agreement 602773 (Project KINDRED). FB is supported by the Centre National de la Recherche Scientifique (CNRS), the
Université de Bordeaux, the Agence Nationale de la Recherche (ANR) through the GLYCONOV grant (ANR-15-CE15-0025-01) of the ‘Générique’
2015 call and the Laboratoire d’Excellence (LabEx) ParaFrap (grant ANR-11-LABX-0024). DPN is supported by the Wellcome Trust and Science
Foundation Ireland. LMF is supported by the Howard Hughes Medical Institute (55007419) and the Fundação para a Ciência e a Tecnologia (FCT)
(PTDC/BIM-MET/4471/2014). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors declare that they have no competing interests. 16 May 2017, (F1000 Faculty Rev):683 (doi:
)
First published:
6
10.12688/f1000research.10342.1
Republic
Canadian Institute for Advanced Research
Canada
, Center for Infectious
Kenneth Stuart
Disease Research USA
2
, National University of
Cynthia He Yingxin
Singapore Singapore
3
, Yale University USA
Christian Tschudi
4
F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 Discuss this article
(0)
Comments
Republic
Canadian Institute for Advanced Research
Canada
, Center for Infectious
Kenneth Stuart
Disease Research USA
2
, National University of
Cynthia He Yingxin
Singapore Singapore
3
, Yale University USA
Christian Tschudi
4 Luisa M. Figueiredo (
)
Corresponding author:
lmf@medicina.ulisboa.pt
Smith TK, Bringaud F, Nolan DP and Figueiredo LM. How to cite this article:
Metabolic reprogramming during the
life
Trypanosoma brucei
2017, (F1000 Faculty Rev):683 (doi:
)
cycle [version 2; referees: 4 approved] F1000Research
6
10.12688/f1000research.10342.2
© 2017 Smith TK
. Abstract Cellular metabolic activity is a highly complex, dynamic, regulated process that
is influenced by numerous factors, including extracellular environmental
signals, nutrient availability and the physiological and developmental status of
the cell. The causative agent of sleeping sickness,
, is an
Trypanosoma brucei
exclusively extracellular protozoan parasite that encounters very different
extracellular environments during its life cycle within the mammalian host and
tsetse fly insect vector. In order to meet these challenges, there are significant
alterations in the major energetic and metabolic pathways of these highly
adaptable parasites. This review highlights some of these metabolic changes in
this early divergent eukaryotic model organism. F1000 Faculty Reviews are commissioned
from members of the prestigious F1000
. In order to make these reviews as
Faculty
comprehensive and accessible as possible,
peer review takes place before publication; the
referees are listed below, but their reports are
not formally published. Page 1 of 12 Discuss this article
(0)
Comments
Luisa M. Figueiredo (
)
Corresponding author:
lmf@medicina.ulisboa.pt
Smith TK, Bringaud F, Nolan DP and Figueiredo LM. How to cite this article:
Metabolic reprogramming during the
life
Trypanosoma brucei
2017, (F1000 Faculty Rev):683 (doi:
)
cycle [version 2; referees: 4 approved] F1000Research
6
10.12688/f1000research.10342.2
© 2017 Smith TK
. This is an open access article distributed under the terms of the
, which
Copyright:
et al
Creative Commons Attribution Licence
permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. TKS is supported by the Wellcome Trust, the Biotechnology and Biological Sciences Research Council, the Engineering and
Grant information:
Physical Sciences Research Council, the Medical Research Council (MR/M020118/1) and the European Community Seventh Framework
Programme under grant agreement 602773 (Project KINDRED). FB is supported by the Centre National de la Recherche Scientifique (CNRS), the
Université de Bordeaux, the Agence Nationale de la Recherche (ANR) through the GLYCONOV grant (ANR-15-CE15-0025-01) of the ‘Générique’
2015 call and the Laboratoire d’Excellence (LabEx) ParaFrap (grant ANR-11-LABX-0024). DPN is supported by the Wellcome Trust and Science
Foundation Ireland. LMF is supported by the Howard Hughes Medical Institute (55007419) and the Fundação para a Ciência e a Tecnologia (FCT)
(PTDC/BIM-MET/4471/2014). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors declare that they have no competing interests. 1. Introduction Trypanosoma brucei is a unicellular protozoan parasite, transmit-
ted by the bite of tsetse flies (Glossina genus). Different species/
subspecies of trypanosomes infect a variety of different verte-
brates, including animals and humans. Human African trypano-
somiasis (HAT), also known as sleeping sickness, is caused by
two subspecies: Trypanosoma brucei gambiense and Trypanosoma
brucei rhodesiense. In recent years, the number of reported cases
of HAT has decreased steadily, falling to just about 6,000 in 20131. Other trypanosome species infect both domestic and wild animals,
causing animal African trypanosomiasis. The infection of livestock
has a major impact on the African economy, limiting the produc-
tion of milk and meat and the development of agriculture in areas
otherwise amenable to animal husbandry2. Throughout the life cycle, parasites encounter and adapt to very
different environments. In the mammalian host, such adaptations
include avoidance of the host immune system (by employing
antigenic variation) as well as metabolic adaptations to use avail-
able nutrients. For example, the brain glucose levels is normally
10–20% of blood levels8, whereas adipose tissue may be a bet-
ter source of lipids. In the tsetse fly vector, the parasites face a Trypanosomatids are also of intrinsic scientific interest as they
separated early (>600 million years ago) and have evolved differ-
ently from other well-studied eukaryotes3. T. brucei brucei (here
called T. brucei), a subspecies non-infectious to human, is by far Figure 1. Changes in metabolism during the life cycle of Trypanosoma brucei. T. brucei life cycle spans two hosts: a mammal (human,
cattle, wild animals) and the tsetse fly. As this protozoan parasite is extracellular, it adapts its metabolism to the available extracellular
nutrients. The two stages that have been better characterised in terms of metabolism are the bloodstream long slender and procyclic forms,
which mainly catabolise glucose and proline, respectively. Fewer studies have studied bloodstream short stumpy forms. In the mammalian
host, parasites accumulate in the interstitial spaces of several tissues, mainly the brain, skin and visceral adipose tissue (adipocytes
are shown as an example). The metabolism of parasites in these tissues remains mostly unknown, except for the activation of fatty acid
β-oxidation in parasites resident of the adipose tissue. Metabolism of metacyclic stage has not been characterised to date. TAO, trypanosome
alternative oxidase. Figure 1. Changes in metabolism during the life cycle of Trypanosoma brucei. T. Amendments from Version 1
REVISED This version 2 highlights an additional question of how the
parasite metabolism changes during the day to Section 5, as this
was missing from the previous version. See referee reports In the mammalian host, parasites exist in two stages: bloodstream
long slender form (B-LS), which doubles every 7 hours by binary
fission, and short stumpy form (B-SS), which is terminally cell
cycle–arrested (Figure 1). The differentiation from B-LS to B-SS
is irreversible and is triggered by a quorum-sensing mechanism7. The B-SS form is pre-adapted to life in the tsetse fly midgut7. These pre-adaptions probably help in the efficient differentiation
into the replicative procyclic forms (PFs). Eventually, PFs migrate
from the midgut to the proventriculus, where they further differen-
tiate into epimastigotes and later into metacyclics in the salivary
glands (Figure 1). The latter are cell cycle–arrested and are able to
re-colonise/re-infect a mammalian host when a tsetse fly takes a
blood meal. F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 16 May 2017, (F1000 Faculty Rev):683 (doi:
)
First published:
6
10.12688/f1000research.10342.1 Page 2 of 12 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 the best characterised. In the mammalian host, T. brucei parasites
colonise the blood and interstitial spaces of several tissues, includ-
ing the brain, adipose tissue and skin4–6. The presence of parasites
in the brain is associated with the appearance of the sleep disor-
der and neurological symptoms characteristic of later stages of the
disease1. the best characterised. In the mammalian host, T. brucei parasites
colonise the blood and interstitial spaces of several tissues, includ-
ing the brain, adipose tissue and skin4–6. The presence of parasites
in the brain is associated with the appearance of the sleep disor-
der and neurological symptoms characteristic of later stages of the
disease1. F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 LMF is supported by the Howard Hughes Medical Institute (55007419) and the Fundação para a Ciência e a Tecnologia (FCT)
(PTDC/BIM-MET/4471/2014). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors declare that they have no competing interests. 16 May 2017, (F1000 Faculty Rev):683 (doi:
)
First published:
6
10.12688/f1000research.10342.1 Luisa M. Figueiredo (
)
Corresponding author:
lmf@medicina.ulisboa.pt
Smith TK, Bringaud F, Nolan DP and Figueiredo LM. How to cite this article:
Metabolic reprogramming during the
life
Trypanosoma brucei
2017, (F1000 Faculty Rev):683 (doi:
)
cycle [version 2; referees: 4 approved] F1000Research
6
10.12688/f1000research.10342.2 g
(
)
p
g
@
p
Smith TK, Bringaud F, Nolan DP and Figueiredo LM. How to cite this article:
Metabolic reprogramming during the
life
Trypanosoma brucei
2017, (F1000 Faculty Rev):683 (doi:
)
cycle [version 2; referees: 4 approved] F1000Research
6
10.12688/f1000research.10342.2
© 2017 Smith TK
. This is an open access article distributed under the terms of the
, which
Copyright:
et al
Creative Commons Attribution Licence
permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. TKS is supported by the Wellcome Trust, the Biotechnology and Biological Sciences Research Council, the Engineering and
Grant information:
Physical Sciences Research Council, the Medical Research Council (MR/M020118/1) and the European Community Seventh Framework
Programme under grant agreement 602773 (Project KINDRED). FB is supported by the Centre National de la Recherche Scientifique (CNRS), the
Université de Bordeaux, the Agence Nationale de la Recherche (ANR) through the GLYCONOV grant (ANR-15-CE15-0025-01) of the ‘Générique’
2015 call and the Laboratoire d’Excellence (LabEx) ParaFrap (grant ANR-11-LABX-0024). DPN is supported by the Wellcome Trust and Science
Foundation Ireland. LMF is supported by the Howard Hughes Medical Institute (55007419) and the Fundação para a Ciência e a Tecnologia (FCT)
(PTDC/BIM-MET/4471/2014). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. mith TK
. This is an open access article distributed under the terms of the
, whic
et al
Creative Commons Attribution Licence
e, distribution, and reproduction in any medium, provided the original work is properly cited. 2.2. Metabolic adaptations in eukaryotes 2.2. Metabolic adaptations in eukaryotes Textbooks on metabolism explain that in nutrient-rich conditions,
model unicellular organisms undergoing exponential growth often
use fermentation11. Proliferating cells in a multicellular organism
also metabolise glucose primarily through glycolysis, secreting
ethanol, lactate, or another organic acid such as acetate. When
unicellular organisms are starved of nutrients, they switch and rely
primarily on oxidative metabolism, as do terminally differenti-
ated cells in a multicellular organism. It is no surprise that there
are many exceptions to these generalised concepts, and as we will
describe below (Section 4), T. brucei is a quintessential example
of these exceptions. Most organisms derive energy from the breakdown of glucose,
by a process known as glycolysis, a universal and evolutionarily
ancient metabolic pathway, which converts glucose (6-carbon)
into pyruvate (3-carbon). Under aerobic conditions, pyruvate can
undergo further breakdown to acetyl coenzyme A (acetyl-CoA)
(2-carbon) and subsequently to carbon dioxide (CO2) via the
tricarboxylic acid (TCA) cycle with the concomitant production of
reducing equivalence (NADH and FADH2) and GTP. Transfer of
electrons from these reduced cofactors to oxygen via an electron
transport chain generates a proton electrochemical gradient across
the mitochondrial inner membrane that is used to generate ATP by
a membrane-bound ATP synthase, collectively a process termed
oxidative phosphorylation (OXPHOS). The complete oxidation
of each glucose molecule leads to the production of about 36 ATP
molecules, showing how OXPHOS is a very efficient mechanism
of producing energy. The metabolism of cells is a highly regulated process that is influ-
enced by numerous extracellular factors. For example, yeast uses
glucose from the environment as their preferred carbon source. Even in the presence of oxygen, glucose is converted into excreted
ethanol, with a low yield of ATP production. Although this process
may seem wasteful, it is a highly efficient way to support expo-
nential growth. When glucose levels are low, yeast undergoes a
diauxic switch to another carbon source, ethanol, which requires an
alteration of its mitochondrial metabolism. By using this alternative
carbon source, cells are able to continue to grow and divide, but at
a significantly reduced rate12. In the absence of oxygen, the glycolysis product (pyruvate or phos-
phoenolpyruvate) can be further metabolised by fermentation into
excreted end-products, such as lactate (for instance, in humans
during running) and ethanol (for instance, in yeast) in the cyto-
plasm, leading to the net production of two ATP molecules per
molecule of glucose consumed. 1. Introduction brucei life cycle spans two hosts: a mammal (human,
cattle, wild animals) and the tsetse fly. As this protozoan parasite is extracellular, it adapts its metabolism to the available extracellular
nutrients. The two stages that have been better characterised in terms of metabolism are the bloodstream long slender and procyclic forms,
which mainly catabolise glucose and proline, respectively. Fewer studies have studied bloodstream short stumpy forms. In the mammalian
host, parasites accumulate in the interstitial spaces of several tissues, mainly the brain, skin and visceral adipose tissue (adipocytes
are shown as an example). The metabolism of parasites in these tissues remains mostly unknown, except for the activation of fatty acid
β-oxidation in parasites resident of the adipose tissue. Metabolism of metacyclic stage has not been characterised to date. TAO, trypanosome
alternative oxidase. Page 3 of 12 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 proteolytic rather than immune challenge and also have to adapt
to an environment that is free of glucose but rich in amino acids,
particularly proline9. T. brucei re-programmes its metabolism in
order to benefit from the nutrients available in the environment. In
this review, we will compare the metabolic differences that take
place during the T. brucei life cycle, highlighting the questions that
remain unanswered. To facilitate the understanding of this review
by a non-metabolism expert, we will first summarise the main
metabolic pathways present in most eukaryotic cells. Amino acids can also contribute to total energy production by
oxidation to urea and CO2. The first reaction is the removal of the
amino group by transaminases. While the amino group enters the
urea cycle, the ketoacid carbon skeletons typically enter the TCA
cycle and fuel OXPHOS. The relative abundances of sugars, amino acids, and fatty acids
along with the availability of sufficient oxygen to use OXPHOS
influence which metabolic pathways are preferentially used to
produce ATP. Thus, the metabolic profile of a cell is a consequence
of the regulated expression of pathway-specific proteins and asso-
ciated transporters in response to extracellular nutritional and
environmental conditions10. 2. Basics of eukaryote metabolism 1. Multiple carbon sources for energy production All living organisms use adenosine triphosphate (ATP) as an
intracellular energy source. ATP is generated by the catabolism
(breakdown) of nutrients. The most common nutrients or carbon
sources are carbohydrates (such as glucose), fatty acids and amino
acids. 3.2. Trypanosomes have specific pathways and unique
enzymesi Kinetoplastida are of great intrinsic scientific interest as they have
diverged very early compared with most studied eukaryotic models
(for example, yeast, plants and animals), on which the founda-
tions of molecular, biochemical and cellular biology have been
built. Cytochrome oxidase (COX) is the terminal oxidase of the
mammalian electron transport chain and is responsible for the In contrast, ADP and ATP molecules can be exchanged between
the cytosolic and mitochondrial compartments through the Figure 2. Multiple pathways to produce ATP in trypanosomes. Catabolism of the most abundant carbon sources in procyclic form grown
in glucose-depleted (A) or in glucose-containing (B) conditions and in bloodstream long slender form (C). Excreted end-products from
glucose and proline degradation (pyruvate, acetate, succinate and alanine) are underlined. Arrows with different thicknesses tentatively
represent the metabolic flux at each enzymatic step. In (B), the direction of ADP/ATP exchange between the cytosol and the mitochondrion
(step 14) is unknown and is represented by double arrows. Key enzymatic steps: 1a, glycosomal phosphoglycerate kinase; 1b, cytosolic
phosphoglycerate kinase; 2, pyruvate kinase; 3, phosphoenolpyruvate carboxykinase; 4, glycosomal malate dehydrogenase; 5, cytosolic
fumarase (for simplification this reaction is placed in the glycosome); 6, glycosomal NADH-dependent fumarate reductase; 7, pyruvate
phosphate dikinase; 8, acetate:succinate coenzyme A-transferase, or ASCT; 9, acetyl-coenzyme A thioesterase; 10, succinyl-coenzyme
A synthetase; 11, trypanosome alternative oxidase; 12, respiratory chain; 13, F0F1-ATP synthase; 14, mitochondrial ADP/ATP exchanger. AcCoA, acetyl-coenzyme A; DHAP, dihydroxyacetone phosphate; G3P, glyceraldehyde 3-phosphate; Gly3P, glycerol 3-phosphate; MAL,
malate; PEP, phosphoenolpyruvate; PYR, pyruvate; SUC, succinate. Figure 2. Multiple pathways to produce ATP in trypanosomes. Catabolism of the most abundant carbon sources in procyclic form grown
in glucose-depleted (A) or in glucose-containing (B) conditions and in bloodstream long slender form (C). Excreted end-products from
glucose and proline degradation (pyruvate, acetate, succinate and alanine) are underlined. Arrows with different thicknesses tentatively
represent the metabolic flux at each enzymatic step. In (B), the direction of ADP/ATP exchange between the cytosol and the mitochondrion
(step 14) is unknown and is represented by double arrows. 2.2. Metabolic adaptations in eukaryotes Regulatory
T (Treg) cells predominantly use OXPHOS for development and
survival15,16, while activated B cells show increased glucose uptake
and induction of glycolysis17. These examples demonstrate how
malleable metabolism is, as cells react to environmental factors
and signals to acquire new functions. 3. Trypanosomes have unusual metabolic features
3.1. Trypanosomes have a single mitochondrion and
glycosomes Significant differential expression of mitochondrial and glyco-
somal proteins occurs during the life cycle21. Indeed, during the
differentiation of B-LS into PFs, degradation of glycosomes prob-
ably via autophagy is enhanced and new glycosomes with different
enzymatic contents are produced, so that parasites become
rapidly metabolically adapted to the new host environment22. In
fact, the differential expression of glycosomal and mitochondrial
proteins is a clear indicator of the difference in metabolic life styles
between the two major life-cycle stages of T. brucei. Trypanosomes are characterised by the presence of a dense network
of circularised interlocking rings of mitochondrial DNA termed
the kinetoplast, located within the large, single mitochondrion
of the cell. The single mitochondrion in PFs has a highly defined
branched structure with discoid cristae, whereas in the B-LS forms
the organelle is a less well-developed narrow tubular structure with
an acristate morphology similar to that of the promitochondrion
of anaerobic yeast18,19. T. brucei also contains peroxisome-like
organelles, named glycosomes, which contain the first six (PF) or
seven (B-LS) glycolytic enzymes3. Since the glycosomal membrane
is impermeable to ATP, no net ATP production occurs inside these
organelles. Thus, net ATP production from glycolysis occurs during
the cytoplasmic steps (Figure 2). 2.2. Metabolic adaptations in eukaryotes Although the flux through fermen-
tation can be very high, the pathway is energetically inefficient in
terms of ATP production. In the absence of oxygen, some micro-
organisms use nitrate ions, sulfate ions, and carbon dioxide as
final electron acceptors, in a process named anaerobic respiration. For example, the final product of glycolysis could be converted
into acetyl-CoA, which enters the TCA cycle or is converted into
acetate. The electrons are then donated to the final acceptor through
the mitochondrial electron transport chain. In mammals, most non-proliferating differentiated cells use
glycolysis and OXPHOS to generate ATP and convert glucose to
CO2 and H2O. However, most proliferating cancer cells convert
glucose into pyruvate and lactate (3-carbon) even under aerobic
conditions, a phenomenon known as the Warburg effect, named
after its discoverer11,13. Although this fermentation-like process is
intrinsically energetically less efficient, these cells use far higher
rates of glycolysis to meet their higher metabolite demand as they
divide faster. This metabolic reprogramming allows cancer cells to
rapidly produce the building blocks and increase total biomass for a
faster propagation time14. In many organisms, fatty acids can be catabolised via β-oxidation
in the mitochondria to again generate the 2-carbon unit acetyl-
CoA, which feeds into the TCA cycle and OXPHOS. Fatty acid
β-oxidation of a palmitate molecule (a fatty acid with 16 carbons
that is very abundant in mammalian adipocytes) can generate
106 ATP molecules. The balance between making and breaking
down fatty acids is tightly regulated. Major metabolic changes also take place when immune cells are
activated and initiate proliferation. When T cells are activated
upon infection or inflammation, gene expression is reprogrammed,
resulting in rapid growth, proliferation and the acquisition of new
effector functions. Effector T cells, like cancer cells, rely upon
aerobic glycolysis when proliferating11. In contrast, T cells destined Page 4 of 12 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 TbMCP5 mitochondrial ADP/ATP exchanger20. This exchanger
is required because oxidative phosphorylation does not occur
in B-LS and thus no ATP is generated inside this organelle. To
maintain the mitochondrial proton electrochemical gradient across
the mitochondrial membrane, the F1F0-ATPase operates in the
reverse direction, hydrolysing ATP into ADP (Figure 2). This unu-
sual way of generating a mitochondrial potential also implies that a
functional phosphate/H+ exchanger must be present. to become memory cells maintain an oxidative metabolism, which
allows them to keep their quiescence and longevity. 3.2. Trypanosomes have specific pathways and unique
enzymesi Key enzymatic steps: 1a, glycosomal phosphoglycerate kinase; 1b, cytosolic
phosphoglycerate kinase; 2, pyruvate kinase; 3, phosphoenolpyruvate carboxykinase; 4, glycosomal malate dehydrogenase; 5, cytosolic
fumarase (for simplification this reaction is placed in the glycosome); 6, glycosomal NADH-dependent fumarate reductase; 7, pyruvate
phosphate dikinase; 8, acetate:succinate coenzyme A-transferase, or ASCT; 9, acetyl-coenzyme A thioesterase; 10, succinyl-coenzyme
A synthetase; 11, trypanosome alternative oxidase; 12, respiratory chain; 13, F0F1-ATP synthase; 14, mitochondrial ADP/ATP exchanger. AcCoA, acetyl-coenzyme A; DHAP, dihydroxyacetone phosphate; G3P, glyceraldehyde 3-phosphate; Gly3P, glycerol 3-phosphate; MAL,
malate; PEP, phosphoenolpyruvate; PYR, pyruvate; SUC, succinate. Page 5 of 12 Page 5 of 12 Page 5 of 12 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 via glycolysis (Figure 1 and Figure 2C). Unlike proliferative yeast
and tumour cells, B-LS does not undergo fermentation per se. In
fact, instead of being metabolised and generating ethanol or lactate,
most pyruvate in B-LS is immediately excreted, and only about
1% is fermented into succinate30,31. To oxidise the NADH produced
during glycolysis back to NAD+, B-LS consume large amounts of
oxygen that act as an electron acceptor in a reaction catalysed by
the unusual TAO. This type of glucose metabolism is uncommon
and does not fit textbook knowledge. Interestingly, B-LS cells also
tolerate anaerobic conditions where they convert glucose to equi-
molar amounts of glycerol and pyruvate, with a two-fold reduction
of the ATP production rate. reduction of oxygen to water. However, T. brucei possesses an
additional plant-like, non-energy-conserving terminal oxidase
called alternative oxidase (TAO). Indeed, B-LS forms are unique
in the sense that they do not use COX but rely on TAO (step 11 in
Figure 2C). TAO is 100-fold more expressed in B-LS than PFs and
thus is considered a potential drug target23. reduction of oxygen to water. However, T. brucei possesses an
additional plant-like, non-energy-conserving terminal oxidase
called alternative oxidase (TAO). Indeed, B-LS forms are unique
in the sense that they do not use COX but rely on TAO (step 11 in
Figure 2C). TAO is 100-fold more expressed in B-LS than PFs and
thus is considered a potential drug target23. Sphingolipids are a class of lipids important in cell recognition and
signal transmission. To date, T. brucei is the only organism known
to make all three types of sphingolipids (sphingomyelin, inositol-
phosphoceramide and ethanolamine-phosphoceramide). These
lipids are synthesised via four sphingolipid synthases (SLSs) that
are encoded by genes organised in a tandem array. 4. Metabolic adaptations during the Trypanosoma
brucei life cycle The bloodstream of a mammalian host is a very rich environment,
containing 5 mM of glucose, 95% to 99% oxygen saturation levels
and 0.6 to 0.8 g/mL proteins, including lipoproteins (low-density
lipoprotein and high-density lipoprotein). In contrast, when para-
sites are ingested by the tsetse during a blood meal, they end up in a
glucose-poor but amino acid-rich environment that is very different
from the mammalian bloodstream. Given that we can mimic these
growing conditions in vitro, most of our knowledge about meta-
bolic changes during the T. brucei life cycle originates from the
comparison between B-LS and PFs. 4.1. Amino acids: an abundant carbon source in the midgut
of the flyl The midgut of the tsetse fly has a temperature of about 28°C and a
variable pH and contains hardly any glucose, but is rich in amino
acids, such as proline (about 100 μM)9. It is well accepted that, in
a glucose-depleted environment, PFs primarily use proline for their
energy production25,26 (Figure 1), but catabolism of other amino
acids, such as threonine and leucine, is also used27,28. These latter
amino acids feed fatty acid biosynthesis and/or enter into the meval-
onate pathway to produce the building blocks to generate essen-
tial lipids, including isoprenoids and sterols. Proline is catabolised
within the mitochondrion and excreted from the cell as the end-
product alanine, with the production of several reduced cofactors,
which are reoxidised in the respiratory chain for ATP produc-
tion by OXPHOS (Figure 2A). However, if glucose is provided,
PFs adjust their metabolism and produce most of their ATP via
glucose degradation (glycolysis), even in the presence of proline
(Figure 2B)25,29. These findings highlight that these parasites, like
most other eukaryotes, are extremely flexible at adapting their
central metabolism to their environment. Thirdly and probably the most important reason for a higher rate
of glucose degradation in B-LS is that some biological proc-
esses require more ATP in B-LS compared with PFs. This is the
case of endocytosis, which is at least about 10-fold upregulated in
B-LS compared with PFs and other trypanosomatids37,38. The high
endocytic activity observed in B-LS is required for rapid recy-
cling of cell-surface glycosylphosphatidylinositol (GPI)-anchored
variant surface glycoprotein (VSG) for internalisation and removal
of bound antibodies, facilitating escape from the host immune
defences, but also for nutrient scavenging from the mammalian
host. 3.2. Trypanosomes have specific pathways and unique
enzymesi Sphingolipid
synthesis is highly controlled during development: a dedicated
inositolphosphoceramide synthase (SLS1) is highly upregulated in
B-SS parasites and maintained in PFs24. As a consequence of more
ceramide being used for inositolphosphoceramide synthesis, the
synthesis of sphingomyelin is reduced, causing an alteration in the
levels of phosphatidylinositol species. As mentioned above, although PFs rely upon proline in vivo, they
prefer glucose to produce ATP25. Interestingly, the rate of glucose
degradation is about 10-fold higher in B-LS than in PFs30,32. This
considerable difference is probably due to metabolic adaptations
developed by B-LS in response to a much higher ATP demand
compared with PFs. Firstly, B-LS replicate faster than PFs (dou-
bling times of about 7 and about 12 hours, respectively), which
means that theoretically B-LS should show a 1.5-fold higher
rate of ATP production. Secondly, the estimated number of ATP
molecules produced per glucose consumed is about two-fold
lower in B-LS. This difference is explained by the different strat-
egies used by B-LS and PFs to degrade glucose into excreted
end-products, which are mainly pyruvate in B-LS (Figure 2C)
and acetate plus succinate in PFs (Figure 2B)33. Indeed, at the
end of glycolysis, PFs convert pyruvate into acetate and ATP by
the
acetate:succinate
CoA-transferase
(ASCT)/succinyl-CoA
synthetase cycle34,35. This pathway accounting for about 70% of
the glycolytic flux in PFs is reduced to 5% in B-LS30. In addi-
tion, the glycosomal succinate fermentation pathway (steps 3–6 in
Figure 2B), pyruvate phosphate dikinase (step 7), and cytosolic
localisation of phosphoglycerate kinase (step 1b in Figure 2B)
improve the rate of ATP production within the cytosol of
PFs29,36. 4. Metabolic adaptations during the Trypanosoma
brucei life cycle Knockdown of actin resulted in a significant decrease (>70%)
in endocytic activity and clearance of anti-VSG antibodies by
B-LS forms, but did not significantly affect cellular ATP levels38,39. Surprisingly, measurement of the rates of pyruvate production and
oxygen consumption, under conditions identical to those employed
for the ATP and transferrin uptake assays, revealed a decrease
of about four-fold in both rates after a knockdown of 15 hours
(D. P. Nolan, unpublished data). Although the consumption of
glucose was not measured, these data suggest that membrane traf-
ficking in the B-LS may represent a significant additional ATP
demand compared with the PFs and even more surprisingly that 4.2. Glucose: differences in consumption rate and
efficiency of ATP production
So far, the only carbon source for ATP production described for
replicative bloodstream parasites is glucose, which is converted 4.2. Glucose: differences in consumption rate and
efficiency of ATP production So far, the only carbon source for ATP production described for
replicative bloodstream parasites is glucose, which is converted Page 6 of 12 Page 6 of 12 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 undergo several cycles of β-oxidation, releasing acetyl-CoA, which
could enter the TCA cycle, leading to the production of NADH and
FADH2, which could result in the production of ATP by OXPHOS. This hypothesis, however, implies that complexes III and IV of the
respiratory chain are active, and this has not been observed so far in
T. brucei mammalian forms. An alternative scenario is that the fatty
acid chains (normally, 16 carbon palmitate) released by adipocytes
are shortened through β-oxidation to enter an anabolic process in
order to produce complex lipids. The resulting acetyl-CoA could
be converted into acetate and lead to the production of one ATP
molecule by the action of ASCT enzyme. the rate of ATP utilisation may also influence its rate of production
via glycolysis. However, knockdown of actin also led to a rapid
cessation in cell division and eventual cell death, so the implica-
tions of these preliminary metabolic investigations may not be so
straightforward. Interestingly, although B-SS live in a glucose-rich environment,
they undergo morphological and gene expression alterations
that are consistent with a preparation to survive within the tsetse
midgut environment7,24 (Figure 1). These adaptions also include
increased sensitivity to specific environmental cues that signal
entry to the tsetse fly vector, as well as resistance to extracellular
acidic and proteolytic stress40,41. Given that B-SS are non-
proliferative and existent only in pleomorphic strains, it is more
difficult to obtain large and pure quantities of this life-cycle stage
in vitro. As a result, its metabolism has been less characterised. Nevertheless, we know that B-SS consume glucose and produce
pyruvate and intermediate levels of acetate42, suggesting that
metabolism is being pre-adapted to the conditions in which procy-
clic forms will live within the tsetse midgut. Transcriptomic studies
have confirmed the downregulation of several genes that encode
for components of the glycosomes and are involved in glucose
uptake and breakdown24. Genes upregulated in B-SS include TAO,
fructose-2,6- biphosphatase, specific membrane proteins, and
specific lipid biosynthesic genes, including TbSLS1 involved in
inositolphosphoceramide synthesis. Further biochemical studies
will be necessary to characterise and allow a better understanding
of B-SS metabolism. 4.3. Lipids: responding to a great demand for myristate
h
bl
d
bl
i In the bloodstream, trypanosomes are able to survive extracellu-
larly in the mammalian host as they are coated by a dense homog-
enous layer of GPI-anchored VSGs. VSG coats are periodically
exchanged by a mechanism of antigenic variation, protecting para-
sites against the host’s innate and adaptive immune responses43. In B-LS forms, GPI anchors exclusively contain two myristate
molecules (14 carbon fatty acid); however, myristate is present at
very low levels within the mammalian bloodstream, which could
not sustain the B-SL demand44. Thus, it was initially thought that
de novo synthesis of myristate occurred via a type II prokaryotic-
like synthase45,46, but this synthesis is not sufficient for the
GPI requirement47. Hence, it has been discovered that T. brucei
uses four microsomal elongases, with different specificities, to
synthesise fatty acids in a stepwise manner47. These elongases
are responsible for the majority of de novo fatty acid synthesis in
T. brucei. In bloodstream forms, downregulation of the elongase
3 in the pathway (which converts C14 to C18) explains the high
production of myristate required for GPI anchors. However, much remains to be discovered. Some questions for the
future are the following: However, much remains to be discovered. Some questions for the
future are the following: • Besides the known glucose and proline transporters, what are
the transporters of other essential nutrients? • What is the signalling cascade that coordinates metabolism
remodelling? In most eukaryotes, two key kinases are involved
in nutrient sensing: target of rapamycin protein (TOR) and
AMP-activated kinase (AMPK). T. brucei, the eukaryote with
the most complex network of TOR proteins described so far,
is composed of four TOR proteins57, which are necessary
for cell proliferation. Interestingly, knockdown of one of
these proteins, TbTOR4, which appears to be kinetoplastid-
specific, caused irreversible differentiation of the B-LS form
into a quiescent form with properties very similar to those
of the B-SS form, which suggested that TbTOR4 negatively
regulates the slender-to-stumpy transition58. Activation of
AMPK also triggers differentiation to the quiescent B-SS • What is the signalling cascade that coordinates metabolism
remodelling? In most eukaryotes, two key kinases are involved
in nutrient sensing: target of rapamycin protein (TOR) and
AMP-activated kinase (AMPK). T. brucei, the eukaryote with
the most complex network of TOR proteins described so far,
is composed of four TOR proteins57, which are necessary
for cell proliferation. 4.2. Glucose: differences in consumption rate and
efficiency of ATP production Tryponosoma cruzi also infects adipocytes (specialised cells of
adipose tissue) and is capable of consuming stored lipids48. It is
unclear how T. brucei, an extracellular parasite, accesses lipids
that are stored inside adipocytes, which constitute the largest
storage of lipids in a mammalian host. Inside adipocytes, the
stored triglycerides can be converted via lipolysis into fatty acids
and glycerol, which are eventually secreted. During a T. brucei
infection, animals typically lose weight and serum shows
hyperlipidaemia6,49. We speculate that during a T. brucei infection,
lipolysis is increased, leading to the secretion of fatty acids, which
could be readily taken up and used by parasites. 5. Concluding remarks and future perspectives 5 Co c ud
g e
a
s a d u u e pe spec
es
Fields such as immunometabolism emerged because of the devel-
opment of highly sensitive metabolomic approaches, including
untargeted metabolomic analysis, stable isotope labelling, mass
spectrometry, and nuclear magnetic resonance50–52. Researchers
discovered that during immune cell activation, the levels of many
metabolites undergo alterations and these changes are directly
linked to immune cell effector functions. In a way, the life cycle of
a pathogen is a series of irreversible differentiation steps, in which
the cells adapt to a new environment to perform new functions. In
addition, the use of modern metabolomics approaches has revealed
that T. brucei uses an incomplete TCA cycle in PFs53 and that pro-
line has a different fate in PFs depending upon high- or low-glucose
availability in the medium and has allowed the identification of the
carbon and nitrogen sources of essential metabolites53–56. 4.3. Lipids: responding to a great demand for myristate
h
bl
d
bl
i Interestingly, knockdown of one of
these proteins, TbTOR4, which appears to be kinetoplastid-
specific, caused irreversible differentiation of the B-LS form
into a quiescent form with properties very similar to those
of the B-SS form, which suggested that TbTOR4 negatively
regulates the slender-to-stumpy transition58. Activation of
AMPK also triggers differentiation to the quiescent B-SS Trindade et al. have shown that at the RNA level, parasites in
adipose tissue and blood are quite different and that many genes
associated with metabolism are differentially expressed6. Using
pulse-chase experiments with stable isotope-labelled myristate,
the authors showed that the first three enzymatic steps of fatty acid
β-oxidation were active in parasites occupying the adipose tissue. In this pathway, a fatty acid molecule is converted into acetyl-CoA
and a shorter fatty acid. The fate of each of these molecules remains
unknown. The most ‘classic’ scenario would be that fatty acids Page 7 of 12 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 forms59. It is likely that some of these kinases are directly
involved in remodelling metabolism during the T. brucei life
cycle. It is interesting that changes in inositol metabolism
lead to perturbations in VSG gene expression, suggesting
that inositol metabolites are important for the control of this
B-LS-specific process60. encode for metabolic enzymes are circadianly regulated63. This
cycling expression pattern leads to two peaks of intracellular
ATP concentration, indicating that metabolism is indeed
under circadian control. How is this control achieved? Which
metabolic pathways are affected? Does this adaptation reflect
the circadian variation of nutrients in the host? • What is the metabolism of other stages of the life cycle? With
the possibility of generating in vitro multiple stages of tsetse
life cycle by overexpressing RBP661, it may be possible in the
near future to understand metabolism of epimastigotes and
metacyclics. The interplay between the host and pathogen and the influences
upon their respective metabolisms is likely to be complex but is
probably very significant since adaptation to nutrient availability
is a major driving force during evolution. With the help of new and
more sensitive biochemical and metabolic methodologies, it should
be possible to use systems biology approaches to simultaneously
characterise the metabolic changes undergone by parasites and host
during an infection and within different tissues. Grant information TKS is supported by the Wellcome Trust, the Biotechnology and
Biological Sciences Research Council, the Engineering and Physi-
cal Sciences Research Council, the Medical Research Council
(MR/M020118/1) and the European Community Seventh Frame-
work Programme under grant agreement 602773 (Project
KINDRED). FB is supported by the Centre National de la Recher-
che Scientifique (CNRS), the Université de Bordeaux, the Agence
Nationale de la Recherche (ANR) through the GLYCONOV
grant (ANR-15-CE15-0025-01) of the ‘Générique’ 2015 call and
the Laboratoire d’Excellence (LabEx) ParaFrap (grant ANR-11-
LABX-0024). DPN is supported by the Wellcome Trust and Sci-
ence Foundation Ireland. LMF is supported by the Howard Hughes
Medical Institute (55007419) and the Fundação para a Ciência e a
Tecnologia (FCT) (PTDC/BIM-MET/4471/2014). • What are the consequences of a T. brucei infection in the
host? Trypanosomiasis is characterised by decreased levels of
aromatic amino acids, especially tryptophan, in the host and
these levels are accompanied by the excretion of abnormal
amounts of aromatic ketoacids, such as indole-3-pyruvate62. It
was recently shown that B-LS generates indole-3-pyruvate by
transamination of tryptophan and secretes significant amounts
of this aromatic ketoacid. Indole-3-pyruvate appears to be
able to modulate the host inflammatory responses, which may
prolong host survival and thereby potentiate transmission of
the parasite to the tsetse fly vector and ensure completion of
the life cycle62. The roles of other secreted parasite metabolites
that can possibly modify the host’s metabolism remain to be
established. • What are the consequences of a T. brucei infection in the
host? Trypanosomiasis is characterised by decreased levels of
aromatic amino acids, especially tryptophan, in the host and
these levels are accompanied by the excretion of abnormal
amounts of aromatic ketoacids, such as indole-3-pyruvate62. It
was recently shown that B-LS generates indole-3-pyruvate by
transamination of tryptophan and secretes significant amounts
of this aromatic ketoacid. Indole-3-pyruvate appears to be
able to modulate the host inflammatory responses, which may
prolong host survival and thereby potentiate transmission of
the parasite to the tsetse fly vector and ensure completion of
the life cycle62. The roles of other secreted parasite metabolites
that can possibly modify the host’s metabolism remain to be
established. • How does the parasite metabolism change during the day? We have recently shown that, in T. brucei, many genes that The funders had no role in study design, data collection and
analysis, decision to publish, or preparation of the manuscript. Author contributions
All authors participated in the writing of the manuscript. Competing interests
The authors declare that they have no competing interests. Competing interests
The authors declare that they have no competing interests. 4.
Caljon G, van Reet N, De Trez C, et al.: The Dermis as a Delivery Site of 4.3. Lipids: responding to a great demand for myristate
h
bl
d
bl
i • Do other trypanosome species undergo similar or different
metabolic adaptations during their life cycle as they encounter
different environments? • What is the metabolism of slender and stumpy forms when
these occupy other tissues within the mammalian host? Trindade et al. have shown that at the RNA level, parasites
in adipose tissue and blood are quite different and that
many genes associated with metabolism are differentially
expressed6. It will be important in the future, perhaps for drug
development, to confirm these observations at protein and
metabolite levels not only in visceral adipose tissue but also
in the skin and importantly in the brain. • What is the metabolism of slender and stumpy forms when
these occupy other tissues within the mammalian host? Trindade et al. have shown that at the RNA level, parasites
in adipose tissue and blood are quite different and that
many genes associated with metabolism are differentially
expressed6. It will be important in the future, perhaps for drug
development, to confirm these observations at protein and
metabolite levels not only in visceral adipose tissue but also
in the skin and importantly in the brain. Author contributions
All authors participated in the writing of the manuscript. 1.
Franco JR, Simarro PP, Diarra A, et al.: Epidemiology of human African
trypanosomiasis. Clin Epidemiol. 2014; 6: 257–75.
PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation
2.
Morrison LJ, Vezza L, Rowan T, et al.: Animal African Trypanosomiasis: Time
to Increase Focus on Clinically Relevant Parasite and Host Species. Trends
Parasitol. 2016; 32(8): 599–607.
PubMed Abstract | Publisher Full Text
3.
Gualdrón-López M, Brennand A, Hannaert V, et al.: When, how and why
glycolysis became compartmentalised in the Kinetoplastea. A new look at an
ancient organelle. Int J Parasitol. 2012; 42(1): 1–20.
PubMed Abstract | Publisher Full Text
4.
Caljon G, van Reet N, De Trez C, et al.: The Dermis as a Delivery Site of Trypanosoma brucei for Tsetse Flies. PLoS Pathog. 2016; 12(7): e1005744.
PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation
5.
Capewell P, Cren-Travaillé C, Marchesi F, et al.: The skin is a significant but
overlooked anatomical reservoir for vector-borne African trypanosomes. eLife.
2016; 5: pii: e17716.
PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation
6.
Trindade S, Rijo-Ferreira F, Carvalho T, et al.: Trypanosoma brucei Parasites
Occupy and Functionally Adapt to the Adipose Tissue in Mice. Cell Host
Microbe. 2016; 19(6): 837–48.
PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation
7.
MacGregor P, Szöőr B, Savill NJ, et al.: Trypanosomal immune evasion,
chronicity and transmission: an elegant balancing act. Nat Rev Microbiol. 2012; Grant information • How does the parasite metabolism change during the day? We have recently shown that, in T. brucei, many genes that F1000 recommended F1000 recommended |
3.
Gualdrón-López M, Brennand A, Hannaert V, et al.: When, how and why
glycolysis became compartmentalised in the Kinetoplastea. A new look at an
ancient organelle. Int J Parasitol. 2012; 42(1): 1–20.
PubMed Abstract | Publisher Full Text 324(5930): 1029 33.
PubMed Abstract | Publisher Full Text | Free Full Text 12. Galdieri L, Mehrotra S, Yu S, et al.: Transcriptional regulation in yeast during
diauxic shift and stationary phase. OMICS. 2010; 14(6): 629–38. PubMed Abstract | Publisher Full Text | Free Full Text 34. Rivière L, van Weelden SW, Glass P, et al.: Acetyl:succinate CoA-transferase in
procyclic Trypanosoma brucei. Gene identification and role in carbohydrate
metabolism. J Biol Chem. 2004; 279(44): 45337–46. PubMed Abstract | Publisher Full Text 13. Warburg O: On the origin of cancer cells. Science. 1956; 123(3191): 309–14. PubMed Abstract | Publisher Full Text 14. Ward PS, Thompson CB: Metabolic reprogramming: a cancer hallmark even
warburg did not anticipate. Cancer Cell. 2012; 21(3): 297–308. PubMed Abstract | Publisher Full Text | Free Full Text 14. Ward PS, Thompson CB: Metabolic reprogramming: a cancer hallmark even
warburg did not anticipate. Cancer Cell. 2012; 21(3): 297–308. 35. van Hellemond JJ, Tielens AG: Adaptations in the lipid metabolism of the
protozoan parasite Trypanosoma brucei. FEBS Lett. 2006; 580(23): 5552–8. PubMed Abstract | Publisher Full Text 15. Michalek RD, Gerriets VA, Jacobs SR, et al.: Cutting edge: distinct glycolytic
and lipid oxidative metabolic programs are essential for effector and
regulatory CD4+ T cell subsets. J Immunol. 2011; 186(6): 3299–303. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 36. Besteiro S, Biran M, Biteau N, et al.: Succinate secreted by Trypanosoma
brucei is produced by a novel and unique glycosomal enzyme, NADH-
dependent fumarate reductase. J Biol Chem. 2002; 277(41): 38001–12. PubMed Abstract | Publisher Full Text | F1000 Recommendation 16. Shi LZ, Wang R, Huang G, et al.: HIF1alpha-dependent glycolytic pathway
orchestrates a metabolic checkpoint for the differentiation of TH17 and Treg
cells. J Exp Med. 2011; 208(7): 1367–76. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 37. Pal A, Hall BS, Nesbeth DN, et al.: Differential endocytic functions of
Trypanosoma brucei Rab5 isoforms reveal a glycosylphosphatidylinositol-
specific endosomal pathway. J Biol Chem. 2002; 277(11): 9529–39. PubMed Abstract | Publisher Full Text | F1000 Recommendation 17. Doughty CA, Bleiman BF, Wagner DJ, et al.: Antigen receptor-mediated changes
in glucose metabolism in B lymphocytes: role of phosphatidylinositol 3-kinase
signaling in the glycolytic control of growth. Blood. 2006; 107(11): 4458–65. PubMed Abstract | Publisher Full Text | Free Full Text 38. Engstler M, Pfohl T, Herminghaus S, et al.: Hydrodynamic flow-mediated
protein sorting on the cell surface of trypanosomes. Cell. 2007; 131(3):
505–15. 324(5930): 1029 33.
PubMed Abstract | Publisher Full Text | Free Full Text PubMed Abstract | Publisher Full Text | F1000 Recommendation 18. Vickerman K: Developmental cycles and biology of pathogenic trypanosomes. Br Med Bull. 1985; 41(2): 105–14. PubMed Abstract | Publisher Full Text 39. García-Salcedo JA, Pérez-Morga D, Gijón P, et al.: A differential role for
actin during the life cycle of Trypanosoma brucei. EMBO J. 2004; 23(4): 780–9. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 19. Matthews KR: The developmental cell biology of Trypanosoma brucei. J Cell
Sci. 2005; 118(Pt 2): 283–90. PubMed Abstract | Publisher Full Text | Free Full Text 40. Rico E, Rojas F, Mony BM, et al.: Bloodstream form pre-adaptation to the tsetse
fly in Trypanosoma brucei. Front Cell Infect Microbiol. 2013; 3: 78. PubMed Abstract | Publisher Full Text | Free Full Text 20. Peña-Diaz P, Pelosi L, Ebikeme C, et al.: Functional characterization of TbMCP5,
a conserved and essential ADP/ATP carrier present in the mitochondrion of the
human pathogen Trypanosoma brucei. J Biol Chem. 2012; 287(50): 41861–74. PubMed Abstract | Publisher Full Text | Free Full Text 41. Nolan DP, Rolin S, Rodriguez JR, et al.: Slender and stumpy bloodstream forms
of Trypanosoma brucei display a differential response to extracellular acidic
and proteolytic stress. Eur J Biochem. 2000; 267(1): 18–27. PubMed Abstract | Publisher Full Text 21. Vertommen D, Van Roy J, Szikora JP, et al.: Differential expression of
glycosomal and mitochondrial proteins in the two major life-cycle stages of
Trypanosoma brucei. Mol Biochem Parasitol. 2008; 158(2): 189–201. PubMed Abstract | Publisher Full Text 42. van Grinsven KW, van Den Abbeele J, van den Bossche P, et al.: Adaptations in
the glucose metabolism of procyclic Trypanosoma brucei isolates from tsetse
flies and during differentiation of bloodstream forms. Eukaryotic Cell. 2009;
8(8): 1307–11. PubMed Abstract | Publisher Full Text | Free Full Text 22. Herman M, Pérez-Morga D, Schtickzelle N, et al.: Turnover of glycosomes during
life-cycle differentiation of Trypanosoma brucei. Autophagy. 2008; 4(3): 294–308. PubMed Abstract | Publisher Full Text 43. Hovel-Miner G, Mugnier M, Papavasiliou FN, et al.: A Host-Pathogen Interaction
Reduced to First Principles: Antigenic Variation in T. brucei. Results Probl Cell
Differ. 2015; 57: 23–46. PubMed Abstract | Publisher Full Text 23. Chaudhuri M, Ott RD, Hill GC: Trypanosome alternative oxidase: from molecule
to function. Trends Parasitol. 2006; 22(10): 484–91. PubMed Abstract | Publisher Full Text 24. 324(5930): 1029 33.
PubMed Abstract | Publisher Full Text | Free Full Text Kabani S, Fenn K, Ross A, et al.: Genome-wide expression profiling of
in vivo-derived bloodstream parasite stages and dynamic analysis of mRNA
alterations during synchronous differentiation in Trypanosoma brucei. BMC
Genomics. 2009; 10: 427. PubMed Abstract | Publisher Full Text | Free Full Text 44. Ferguson MA, Cross GA: Myristylation of the membrane form of a Trypanosoma
brucei variant surface glycoprotein. J Biol Chem. 1984; 259(5): 3011–5. PubMed Abstract References Page 8 of 12 Page 8 of 12 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 dikinase in the maintenance of the glycosomal ATP/ADP balance in the
Trypanosoma brucei procyclic form. J Biol Chem. 2014; 289(25): 17365–78. PubMed Abstract | Publisher Full Text | Free Full Text 8. de Vries MG, Arseneau LM, Lawson ME, et al.: Extracellular glucose in rat
ventromedial hypothalamus during acute and recurrent hypoglycemia. Diabetes. 2003; 52(11): 2767–73. PubMed Abstract | Publisher Full Text 30. Mazet M, Morand P, Biran M, et al.: Revisiting the central metabolism of the
bloodstream forms of Trypanosoma brucei: production of acetate in the
mitochondrion is essential for parasite viability. PLoS Negl Trop Dis. 2013;
7(12): e2587. PubMed Abstract | Publisher Full Text | Free Full Text 9. Balogun RA: Studies on the amino acids of the tsetse fly, Glossina morsitans,
maintained on in vitro and in vivo feeding systems. Comp Biochem Physiol A
Comp Physiol. 1974; 49(2A): 215–22. PubMed Abstract | Publisher Full Text 31. Creek DJ, Mazet M, Achcar F, et al.: Probing the metabolic network in
bloodstream-form Trypanosoma brucei using untargeted metabolomics with
stable isotope labelled glucose. PLoS Pathog. 2015; 11(3): e1004689. PubMed Abstract | Publisher Full Text | Free Full Text 10. Thompson CB: Rethinking the regulation of cellular metabolism. Cold Spring
Harb Symp Quant Biol. 2011; 76: 23–9. PubMed Abstract | Publisher Full Text p
g
g
;
PubMed Abstract | Publisher Full Text | Free Full Text 32. Ryley JF: Studies on the metabolism of the protozoa. 9. Comparative
metabolism of blood-stream and culture forms of Trypanosoma rhodesiense. Biochem J. 1962; 85(1): 211–23. PubMed Abstract | Free Full Text 11. Vander Heiden MG, Cantley LC, Thompson CB: Understanding the Warburg
effect: the metabolic requirements of cell proliferation. Science. 2009;
324(5930): 1029–33. PubMed Abstract | Publisher Full Text | Free Full Text 33. Bringaud F, Rivière L, Coustou V: Energy metabolism of trypanosomatids:
adaptation to available carbon sources. Mol Biochem Parasitol. 2006; 149(1):
1–9. PubMed Abstract | Publisher Full Text Genomics. 2009; 10: 427.
PubMed Abstract | Publisher Full Text | Free Full Text Goodacre R, Vaidyanathan S, Dunn WB, et al.: Metabolomics by numbers: Page 9 of 12 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 Trypanosoma brucei: an extended family. Biochem Soc Trans. 2013; 41(4): 934–8. PubMed Abstract | Publisher Full Text
58. Barquilla A, Saldivia M, Diaz R, et al.: Third target of rapamycin complex
negatively regulates development of quiescence in Trypanosoma brucei. Proc
Natl Acad Sci U S A. 2012; 109(36): 14399–404. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation
59. Saldivia M, Ceballos-Pérez G, Bart JM, et al.: The AMPKα1 Pathway
Positively Regulates the Developmental Transition from Proliferation to
Quiescence in Trypanosoma brucei. Cell Rep. 2016; 17(3): 660–70. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation
60. Cestari I, Stuart K: Inositol phosphate pathway controls transcription of
telomeric expression sites in trypanosomes. Proc Natl Acad Sci U S A. 2015;
112(21): E2803–12. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation
61. Kolev NG, Ramey-Butler K, Cross GA, et al.: Developmental progression
to infectivity in Trypanosoma brucei triggered by an RNA-binding protein. Science. 2012; 338(6112): 1352–3. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation
62. Hall JE, Seed JR: Increased urinary excretion of aromatic amino acid
catabolites by Microtus montanus chronically infected with Trypanosoma
brucei gambiense. Comp Biochem Physiol B. 1984; 77(4): 755–60. PubMed Abstract | Publisher Full Text
63. Rijo-Ferreira F, Pinto-Neves D, Barbosa-Morais NL, et al.: Trypanosoma
brucei metabolism is under circadian control. Nat Microbiol. 2017; 2: 17032. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation acquiring and understanding global metabolite data. Trends Biotechnol. 2004;
22(5): 245–52. PubMed Abstract | Publisher Full Text
51. Dettmer K, Aronov PA, Hammock BD: Mass spectrometry-based metabolomics. Mass Spectrom Rev. 2007; 26(1): 51–78. PubMed Abstract | Publisher Full Text | Free Full Text
52. Breitling R, Takano E: Synthetic Biology of Natural Products. Cold Spring Harb
Perspect Biol. 2016; 8(10): pii: a023994. PubMed Abstract | Publisher Full Text
53. van Weelden SW, Fast B, Vogt A, et al.: Procyclic Trypanosoma brucei do not
use Krebs cycle activity for energy generation. J Biol Chem. 2003; 278(15):
12854–63. PubMed Abstract | Publisher Full Text
54. Coustou V, Biran M, Breton M, et al.: Glucose-induced remodeling of
intermediary and energy metabolism in procyclic Trypanosoma brucei. J Biol
Chem. Genomics. 2009; 10: 427.
PubMed Abstract | Publisher Full Text | Free Full Text 45. Morita YS, Paul KS, Englund PT: Specialized fatty acid synthesis in African
trypanosomes: myristate for GPI anchors. Science. 2000; 288(5463): 140–3. PubMed Abstract | Publisher Full Text 25. Lamour N, Rivière L, Coustou V, et al.: Proline metabolism in procyclic
Trypanosoma brucei is down-regulated in the presence of glucose. J Biol
Chem. 2005; 280(12): 11902–10. PubMed Abstract | Publisher Full Text 46. Paul KS, Jiang D, Morita YS, et al.: Fatty acid synthesis in African
trypanosomes: a solution to the myristate mystery. Trends Parasitol. 2001;
17(8): 381–7. PubMed Abstract | Publisher Full Text 26. Mantilla BS, Marchese L, Casas-Sánchez A, et al.: Proline Metabolism is
Essential for Trypanosoma brucei brucei Survival in the Tsetse Vector. PLoS
Pathog. 2017; 13(1): e1006158. PubMed Abstract | Publisher Full Text | Free Full Text 47. Lee SH, Stephens JL, Paul KS, et al.: Fatty acid synthesis by elongases in
trypanosomes. Cell. 2006; 126(4): 691–9. PubMed Abstract | Publisher Full Text | F1000 Recommendation 27. Nes CR, Singha UK, Liu J, et al.: Novel sterol metabolic network of
Trypanosoma brucei procyclic and bloodstream forms. Biochem J. 2012; 443(1):
267–77. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 48. Tanowitz HB, Scherer PE, Mota MM, et al.: Adipose Tissue: A Safe Haven fo
Parasites? Trends Parasitol. 2017; 33(4): 274–284. PubMed Abstract | Publisher Full Text | Free Full Text 49. Palmer JJ, Surur EI, Goch GW, et al.: Syndromic algorithms for detection of
gambiense human African trypanosomiasis in South Sudan. PLoS Negl Trop
Dis. 2013; 7(1): e2003. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 49. Palmer JJ, Surur EI, Goch GW, et al.: Syndromic algorithms for detection of
gambiense human African trypanosomiasis in South Sudan. PLoS Negl Trop
Dis. 2013; 7(1): e2003. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 28. Millerioux Y, Ebikeme C, Biran M, et al.: The threonine degradation pathway
of the Trypanosoma brucei procyclic form: the main carbon source for lipid
biosynthesis is under metabolic control. Mol Microbiol. 2013; 90(1): 114–29. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 50. 29. Deramchia K, Morand P, Biran M, et al.: Contribution of pyruvate phosphate 0. Genomics. 2009; 10: 427.
PubMed Abstract | Publisher Full Text | Free Full Text 2008; 283(24): 16342–54. PubMed Abstract | Publisher Full Text
55. Creek DJ, Anderson J, McConville MJ, et al.: Metabolomic analysis of
trypanosomatid protozoa. Mol Biochem Parasitol. 2012; 181(2):
73–84. PubMed Abstract | Publisher Full Text
56. Bringaud F, Biran M, Millerioux Y, et al.: Combining reverse genetics and nuclear
magnetic resonance-based metabolomics unravels trypanosome-specific
metabolic pathways. Mol Microbiol. 2015; 96(5): 917–26. PubMed Abstract | Publisher Full Text
57. Saldivia M, Barquilla A, Bart JM, et al.: Target of rapamycin (TOR) kinase in Trypanosoma brucei: an extended family. Biochem Soc Trans. 2013; 41(4): 934–8. PubMed Abstract | Publisher Full Text Trypanosoma brucei: an extended family. Biochem Soc Trans. 2013; 41(4): 934–8. PubMed Abstract | Publisher Full Text acquiring and understanding global metabolite data. Trends Biotechnol. 2004;
22(5): 245–52. PubMed Abstract | Publisher Full Text acquiring and understanding global metabolite data. Trends Biotechnol. 2004;
22(5): 245–52. P bM d Ab
| P bli h
F ll T 58. Barquilla A, Saldivia M, Diaz R, et al.: Third target of rapamycin complex
negatively regulates development of quiescence in Trypanosoma brucei. Proc
Natl Acad Sci U S A. 2012; 109(36): 14399–404. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 58. Barquilla A, Saldivia M, Diaz R, et al.: Third target of rapamycin complex
negatively regulates development of quiescence in Trypanosoma brucei. Proc
Natl Acad Sci U S A. 2012; 109(36): 14399–404. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 51. Dettmer K, Aronov PA, Hammock BD: Mass spectrometry-based metabolomics. Mass Spectrom Rev. 2007; 26(1): 51–78. PubMed Abstract | Publisher Full Text | Free Full Text 52. Breitling R, Takano E: Synthetic Biology of Natural Products. Cold Spring Harb
Perspect Biol. 2016; 8(10): pii: a023994. PubMed Abstract | Publisher Full Text 59. Saldivia M, Ceballos-Pérez G, Bart JM, et al.: The AMPKα1 Pathway
Positively Regulates the Developmental Transition from Proliferation to
Quiescence in Trypanosoma brucei. Cell Rep. 2016; 17(3): 660–70. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 53. van Weelden SW, Fast B, Vogt A, et al.: Procyclic Trypanosoma brucei do not
use Krebs cycle activity for energy generation. J Biol Chem. 2003; 278(15):
12854–63. PubMed Abstract | Publisher Full Text 60. Cestari I, Stuart K: Inositol phosphate pathway controls transcription of
telomeric expression sites in trypanosomes. Proc Natl Acad Sci U S A. 2015;
112(21): E2803–12. 63.
Rijo-Ferreira F, Pinto-Neves D, Barbosa-Morais NL, et al.: Trypanosoma
brucei metabolism is under circadian control. Nat Microbiol. 2017; 2: 17032.
PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation Genomics. 2009; 10: 427.
PubMed Abstract | Publisher Full Text | Free Full Text PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation Editorial Note on the Review Process are commissioned from members of the prestigious
and are edited as a
F1000 Faculty Reviews
F1000 Faculty
service to readers. In order to make these reviews as comprehensive and accessible as possible, the referees
provide input before publication and only the final, revised version is published. The referees who approved the
final version are listed with their names and affiliations but without their reports on earlier versions (any comments
will already have been addressed in the published version). Version 2 , Department of Biological Sciences, Centre for BioImaging Sciences, National University
Cynthia He Yingxin
of Singapore, Singapore, 117543, Singapore
No competing interests were disclosed. Competing Interests:
1 , Department of Biological Sciences, Centre for BioImaging Sciences, National University
Cynthia He Yingxin
of Singapore, Singapore, 117543, Singapore
No competing interests were disclosed. Competing Interests:
1 , Department of Epidemiology of Microbial Diseases, School of Public Health, Yale
Christian Tschudi
University, New Haven, CT, USA
No competing interests were disclosed. Competing Interests:
1 , Center for Infectious Disease Research, Seattle, WA, USA
Kenneth Stuart
No competing interests were disclosed. Competing Interests:
1 ,
Biology Centre, Institute of Parasitology, Czech Academy of Sciences, České
Julius Lukes
Budějovice, Czech Republic
1
1,2,3 1 Faculty of Science, University of South Bohemia, Ceske Budejovice, Czech Republic
2 Canadian Institute for Advanced Research, Toronto, Canada
3 No competing interests were disclosed. Competing Interests: PubMed Abstract | Publisher Full Text 54. Coustou V, Biran M, Breton M, et al.: Glucose-induced remodeling of
intermediary and energy metabolism in procyclic Trypanosoma brucei. J Biol
Chem. 2008; 283(24): 16342–54. PubMed Abstract | Publisher Full Text 56. Bringaud F, Biran M, Millerioux Y, et al.: Combining reverse genetics and nuclear
magnetic resonance-based metabolomics unravels trypanosome-specific
metabolic pathways. Mol Microbiol. 2015; 96(5): 917–26. PubMed Abstract | Publisher Full Text 63. Rijo-Ferreira F, Pinto-Neves D, Barbosa-Morais NL, et al.: Trypanosoma
brucei metabolism is under circadian control. Nat Microbiol. 2017; 2: 17032. PubMed Abstract | Publisher Full Text | Free Full Text | F1000 Recommendation 57. Saldivia M, Barquilla A, Bart JM, et al.: Target of rapamycin (TOR) kinase in Page 10 of 12 Page 10 of 12 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 Current Referee Status: Editorial Note on the Review Process Open Peer Review Current Referee Status: Version 1 , Department of Epidemiology of Microbial Diseases, School of Public Health, Yale
Christian Tschudi
University, New Haven, CT, USA
No competing interests were disclosed. Competing Interests:
1 , Department of Biological Sciences, Centre for BioImaging Sciences, National University
Cynthia He Yingxin
of Singapore, Singapore, 117543, Singapore
No competing interests were disclosed. Competing Interests:
1 , Center for Infectious Disease Research, Seattle, WA, USA
Kenneth Stuart
No competing interests were disclosed. Competing Interests:
1 , Center for Infectious Disease Research, Seattle, WA, USA
Kenneth Stuart
N
i
i
di
l
d
C
i
I
1 ,
,
Biology Centre, Institute of Parasitology, Czech Academy of
Julius Lukes
Alena Zikova
Sciences, České Budějovice, Czech Republic
1
1,2,3
1,4,3 1 Faculty of Science, University of South Bohemia, Ceske Budejovice, Czech Republic
2 Page 11 of 12 Canadian Institute for Advanced Research, Toronto, Canada
Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
No competing interests were disclosed.
Competing Interests:
3
4 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 F1000Research 2017, 6(F1000 Faculty Rev):683 Last updated: 18 MAY 2017 Canadian Institute for Advanced Research, Toronto, Canada
Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
No competing interests were disclosed. Competing Interests:
3
4 Page 12 of 12
|
https://openalex.org/W4302303761
|
https://hess.copernicus.org/articles/26/4893/2022/hess-26-4893-2022.pdf
|
English
| null |
Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty
|
Hydrology and earth system sciences
| 2,022
|
cc-by
| 18,674
|
Correspondence: Ashish Shrestha (ashres15@asu.edu) Correspondence: Ashish Shrestha (ashres15@asu.edu) Received: 16 November 2021 – Discussion started: 22 November 2021
Revised: 20 August 2022 – Accepted: 25 August 2022 – Published: 6 October 2022 Received: 16 November 2021 – Discussion started: 22 November 2021
Revised: 20 August 2022 – Accepted: 25 August 2022 – Published: 6 October 2022 to cooperate for each country is lowest when they are self-
interested but fluctuates in other social preference scenarios. Abstract. The Columbia River Treaty (CRT) signed between
the United States and Canada in 1961 is known as one of
the most successful transboundary water treaties. Under con-
tinued cooperation, both countries equitably share collective
responsibilities of reservoir operations and flood control and
hydropower benefits from treaty dams. As the balance of
benefits is the key factor of cooperation, future cooperation
could be challenged by external social and environmental
factors which were not originally anticipated or change in
the social preferences of the two actors. To understand the ro-
bustness of cooperation dynamics, we address two research
questions. (i) How does social and environmental change
influence cooperation dynamics? (ii) How do social prefer-
ences influence the probability of cooperation for both ac-
tors? We analyzed infrastructural, hydrological, economic,
social, and environmental data to inform the development
of a socio-hydrological system dynamics model. The model
simulates the dynamics of flood control and hydropower ben-
efit sharing as a function of the probability to cooperate,
which in turn is affected by the share of benefits. The model
is used to evaluate scenarios that represent environmental and
institutional change and changes in political characteristics
based on social preferences. Our findings show that stronger
institutional capacity ensures equitable sharing of benefits
over the long term. Under the current CRT, the utility of co-
operation is always higher for Canada than non-cooperation,
which is in contrast to the United States. The probability Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022
https://doi.org/10.5194/hess-26-4893-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License. 1
Introduction The Columbia River Treaty (CRT) was signed in 1961
to manage shared waters between the United States and
Canada. Under the treaty, both countries share collective re-
sponsibilities of reservoir operations and benefit from flood
control and hydropower production from the treaty dams eq-
uitably. The CRT is known as one of the most successful
transboundary water treaties in the world, as evidenced by
continued cooperation and equitable benefit sharing (Hyde,
2010). However, since the CRT was established, external
social and environmental factors not originally anticipated,
such as the degradation of valued fish species, have affected
the balance of benefits each country receives (Bowerman
et al., 2021; Trebitz and Wulfhorst, 2021). In competition
and cooperation, actors’ decisions are guided by their so-
cial preferences (also referred to as “other-regarding” prefer-
ences). Fehr and Fischbacher (2002) and Kertzer and Rath-
bun (2015) suggest that decision makers have social prefer-
ences that motivate their decisions, which means that such
actors care about gain (here, material payoff) not just for
themselves but also for others. The perceived fairness of
allocated material resources or balance of benefits, in concert Ashish Shrestha1,⋆, Felipe Augusto Arguello Souza2,⋆, Samuel Park3,⋆, Charlotte Cherry5,⋆, Margaret Garcia1,
David J. Yu3,4, and Eduardo Mario Mendiondo2 1School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ, USA
2Department of Hydraulics and Sanitation, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil
3Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, USA
4Department of Political Science, Purdue University, West Lafayette, IN, USA
5Department of Civil and Environmental Engineering, University of Illinois at Urbana Champaign, Urbana, IL, USA
⋆These authors contributed equally to this work. Department of Civil and Environmental Engineering, University of Illinois at Urbana Champaign, U
These authors contributed equally to this work. Socio-hydrological modeling of the tradeoff between flood control
and hydropower provided by the Columbia River Treaty Ashish Shrestha1,⋆, Felipe Augusto Arguello Souza2,⋆, Samuel Park3,⋆, Charlotte Cherry5,⋆, Margaret Garcia1,
David J. Yu3,4, and Eduardo Mario Mendiondo2 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs Successful management of transboundary river basins de-
pends not only on understanding the hydrology, but also
consideration of economic needs and political dynamics of
the upstream and downstream riparian states; those politi-
cal dynamics are shaped by social comparison in which ac-
tors compare their position, benefit, or risks with other actors
(Gain et al., 2021; Gober and Wheater, 2014). Research in
behavioral economics by Frey and Meier (2004) has shown
that actors tends to be cooperative if they know many others
are contributing too, which could be key to successful man-
agement in transboundary river basins. Transboundary rivers
are managed by multiple heterogeneous stakeholders with
different sovereignty, governance structures, and economic
conditions, while diverse, basin populations may be interde-
pendent not just hydrologically but also economically and
socially (FAO, 2022; Rawlins, 2019). Social factors that can
explain cooperation and conflict dynamics include asymmet-
ric access to water resources due to upstream–downstream
locations and varying levels of dependence on different uses
of the river (Warner and Zawahri, 2012). y
g
Development in transboundary river basins can result in
conflict or cooperation (Bernauer and Böhmelt, 2020). For
example, the construction of dams upstream in the Lancang–
Mekong River basin has affected the environmental condi-
tions and livelihood opportunities of downstream countries
(Lu et al., 2021). Further, the ability to sustain coopera-
tion can be critically affected by how benefits (e.g., water
supply and hydropower) and risks (e.g., floods, droughts)
are shared under changing conditions (Wolf, 2007; Zeitoun
et al., 2013). The Nile River basin is an example of in-
equitable benefit sharing where Egypt and Sudan hold abso-
lute rights to use, motivating conflict and international delib-
eration (Kameri-Mbote, 2007; Wiebe, 2001). Understanding
the history of such transboundary river basins where con-
flicts prevailed more than cooperation showed that there is
an inequitable distribution of benefits and risks among ac-
tors. In the absence of cooperation, the benefits and risks are
usually distributed, with advantage to actors with higher po-
litical and economic power or following geographic advan-
tages (Dombrowsky, 2009). Prevalence of such imbalance
in benefits and risks could further diminish the likelihood
of successfully negotiating any agreement to cooperatively
manage water resources (Espey and Towfique, 2004; Song
and Whittington, 2004). A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4894 with the social preferences of each actor, can significantly
affect the stability of cooperation over time (Abraham and
Ramachandran, 2021; Hirshleifer, 1978; Kertzer and Rath-
bun, 2015; Rivera-Torres and Gerlak, 2021; Sadoff and Grey,
2002; UNESCO, 2021). Understanding these social prefer-
ences between the United States and Canada helps us to un-
derstand the interplay of competition, cooperation, or con-
flict. The United States and Canada are currently renegotiat-
ing the CRT beyond 2024, with the aim of maintaining co-
operation in a changing environment. This ongoing renego-
tiation motivates and raises two research questions. (1) How
does social and environmental change influence cooperation
dynamics? (2) How do social preferences influence the prob-
ability of cooperation for both actors? nerabilities in transboundary water management under cli-
mate change. Madani et al. (2014) applied bankruptcy reso-
lution methods to the challenge of water allocation in trans-
boundary river basins. This quantitative approach is rooted
in the economic literature and offers insight into efficient and
stable allocation schemes. Pohl and Swain (2017) posit that
transboundary waters create economic, social, and environ-
mental interdependencies that can be leveraged to either pro-
mote cooperation or intensify conflict. They highlight that
this creates the potential for broader peace dividends when
negotiating transboundary water management and present
strategies for diplomats to engage constructively. Islam and
Susskind (2018) presented the Water Diplomacy Framework,
which draws on the concepts of complexity science (e.g., in-
terconnectedness, uncertainty, and feedbacks), and negotia-
tion theory (e.g., stakeholder identification, engagement at
multiple levels, and value creation for benefit sharing), to un-
derstand and resolve transboundary water issues and cooper-
ative decision making. Koebele (2021) takes a policy process
approach to understand collaborative governance in trans-
boundary water management of Colorado River between the
United States and Mexico, where over-allocation of water led
to environmental problems and water scarcity downstream. The author applies the Multiple Streams Framework, used
to explain decision making in a range of policy contexts, to
examine the case of transnational policymaking in the Col-
orado River Delta. External factors such as climate change
affect the sustainable transboundary water management. Published by Copernicus Publications on behalf of the European Geosciences Union. Published by Copernicus Publications on behalf of the European Geosciences Union. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs y
p
Traditional water resource management assumes values
and preferences to be exogenous to the water resource sys-
tems, but values and preferences can co-evolve with nat-
ural systems (Caldas et al., 2015; Sivapalan and Blöschl,
2015). Socio-hydrology, the study of coupled human–water
systems, fills this need by providing tools to represent dy-
namic feedback between the hydrological and social systems
(Sivapalan et al., 2012; Troy et al., 2015). Socio-hydrological
studies have explored a variety of emergent phenomena that
result from such feedback, including the levee effect, the irri-
gation efficiency paradox, and the pendulum swing between
human and environmental water uses (Khan et al., 2017). In
the study of transboundary rivers, socio-hydrology allows for
the explicit inclusion of changing values or preferences and
enables assessment of cooperation and conflict as values and
preferences shift (Sivapalan and Blöschl, 2015). Thus, we
develop a socio-hydrological system dynamics model mo-
tivated by the experience of the Columbia River to answer
the research questions defined above. This research builds
upon the work of Lu et al. (2021), where the authors applied
socio-hydrological modeling to the case of the transboundary
Lancang–Mekong River, by assessing how preferences and
attitudes toward cooperation affect their probability of adher-
ing to the agreement. Extending the work by Lu et al. (2021),
we apply behavioral economics to incorporate the role of so-
cial preferences between actors to quantify the probability of
cooperation for each actor. Furthermore, the power dynamics
between actors is very different in the Columbia River basin
than in the Lancang–Mekong River basin. The objective of
this study is to quantify the balance of benefits under coop-
erative reservoir operations to assess the impact of changing
social and environmental conditions as well as shifts in the
social preferences of the United States and Canada. While
the study does not aim to provide specific recommendations
for treaty re-negotiations, it explores the role that changes
in environmental priorities play in cooperation and presents
scenarios to inform future renegotiations of the CRT. g
(
)
The fairness consideration behind the CRT is consistent
with the now well-established behavioral insight that most
human actors are not selfish rational actors that seek to max-
imize short-term material benefits with complete information
(Henrich et al., 2005). A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs (4) benefits beyond the river (Sadoff and Grey, 2002, 2005). Examples of these benefits include flood and drought mit-
igation, improved environmental conditions, and economic
benefits from hydropower or agriculture (Qaddumi, 2008). sideration), preference for rational self-interest maximization
(homo economicus), and preference for having their own
benefits to be higher than those of others (competitiveness)
(Charness and Rabin, 2002). Among these four types, par-
ticularly relevant to transboundary river management is that
human actors have a strong social preference for inequality
aversion at both individual and organizational level and that
this preference is often a key to why cooperation emerges
and is sustained among unrelated parties (Choshen-Hillel and
Yaniv, 2011; Kertzer and Rathbun, 2015). Thus, the decisions
of organizational actors and their reciprocal interactions over
time in the context of the CRT can be described and plausibly
explained by inequality aversion. Understanding the social
preferences between organizational actors (here the United
States and Canada) can capture how their cooperation behav-
ior may evolve over time and shape the robustness of CRT. y
p
g
(Q
,
)
In the case of the Columbia River, the upstream actor
(Canada) operates its dams in a way that provides a greater
benefit to the downstream actor (the United States) in the
form of flood protection because the benefit sharing pro-
vision of the CRT ensures that Canada receives a share of
those benefits in return. The United States operates its dams
to maximize hydropower production and, in exchange, com-
pensates Canada for half of the estimated increase in hy-
dropower benefit generated by the treaty, which provides an
economic incentive to cooperate. This is consistent with the
theory that countries tend to cooperate when the net eco-
nomic and political benefits of cooperation are greater than
the benefits from unilateral action and when the generated
benefits are shared in a way that is perceived to be “fair” by
both parties (Grey et al., 2016; Jägerskog and Zeitoun, 2009;
Qaddumi, 2008). The CRT was established on these grounds,
as both actors agreed that the greatest benefit of the Columbia
River could be secured through cooperative management
(BC Ministry of Energy and Mines, 2013; Yu, 2008). This
agreement focuses on the equitable sharing of benefits cre-
ated from cooperation, rather than on water allocation itself,
which is a key provision of some of the world’s most suc-
cessful water agreements (Giordano and Wolf, 2003). A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs In the case of cooperative trans-
boundary river management, actors mutually achieve several
benefits, including (1) benefits to the river, (2) benefits from
the river, (3) the reduction of costs because of the river, and (
)
Globally, 310 international transboundary river basins
cover almost 47.1 % of the Earth’s land surface, which in-
cludes 52 % of the global population and are the source of
60 % of freshwater supplies (McCracken and Wolf, 2019;
UN-Water, 2015; United Nations, 2022). Transboundary wa-
ter management compounds the challenges of managing wa-
ter between competing users because the river is managed be-
tween different jurisdictions and under different policy struc-
tures (Bernauer and Böhmelt, 2020). Transboundary water
management has been studied through different disciplines. Kliot et al. (2001) reviewed the institutional evolution of wa-
ter management in 12 transboundary river basins, identifying
legal principles that organize transboundary water manage-
ment and discussing their characteristics and shortcomings. The authors discuss that the key challenges in transbound-
ary water management arise from water scarcity, maldistribu-
tion, over-utilization, and misuse of shared resources. Odom
and Wolf (2011) examined the 1994 Israel–Jordan Treaty of
Peace where climate extremes and drought created conflicts
on water sharing and hydropower agreements, but the mod-
ified institutional arrangements mitigated conflicts and vul- https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 4895 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs Rather, there is overwhelming empir-
ical evidence that humans are learning and norm-adopting
actors, whose decisions are sensitive to contextual condi-
tions, including those of how material benefits are relatively
distributed between oneself and others (Fehr and Schmidt,
1999; Gintis et al., 2003). Among several social science the-
ories that have emerged to explain this empirical regularity
about human behavior (note that, as explained by Sanderson
et al., 2017, the social sciences are characterized by theo-
retical pluralism and that there is no single universal theory
about human behavior), perhaps the most rigorous theory is
that of social preference which is also referred to as proso-
cial preference or other-regarding preference (Fehr and Fis-
chbacher, 2002; Kertzer and Rathbun, 2015). This theory as-
sumes that humans not only care about their own material
benefits, but also about the material benefits received by oth-
ers and that this intrinsic nature is consistent with why many
people (but not all) exercise social norms such as inequality
aversion and conditional cooperation. In line with this the-
ory, the utility of individual and organizational actors can be
formalized and categorized into four general types of social
preferences: preference for having the benefits among all ac-
tors to be equal (inequality aversion), preference for maxi-
mizing group- or societal-level benefits (social welfare con- This article is organized as follows. Section 2 provides a
general background of the Columbia River system and treaty https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4896 Figure 1. Map showing (a) the Columbia River basin across Canada and the United States, (b) the Snake River basin and its tributaries
within the Columbia River basin, and (c) location of treaty dams along Canada and the United States which are also included in the socio-
hydrological system dynamics model. Figure 1. Map showing (a) the Columbia River basin across Canada and the United States, (b) the Snake River basin and its tributaries
within the Columbia River basin, and (c) location of treaty dams along Canada and the United States which are also included in the socio-
hydrological system dynamics model. dams. Section 3 discusses the conceptualization and formu-
lation of the socio-hydrological model. Four scenarios based
on environmental and institutional change and four scenarios
based on behavioral economics using social preferences are
presented here. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs Section 4 explains the model testing and sce-
nario analysis. Section 5 discusses the findings of this study,
draws out major conclusions gained through this study, and
identifies remaining questions for future research. (HP), and millions of people in the Pacific Northwest (includ-
ing 8 million people in the Columbia Basin; Lower Columbia
Estuary Partnership, 2022) rely on the river for hydropower,
fishing, irrigation, recreation, navigation, and other environ-
mental services (White et al., 2021). Hydropower development started in the Pacific Northwest
in 1933 and expanded after the CRT was established. Be-
tween 1938 and 1972, 11 dams were built on the US portion
of the Columbia River, which generates over 20 000 MW of
power (BC Ministry of Energy and Mines, 2013). In total,
there are 31 federal dams in the Columbia River basin that
are owned and operated by the U.S. Army Corps of Engi-
neers (USACE) and the U.S. Bureau of Reclamation, which
produce around 40 % of electricity for the Pacific North-
west (Bonneville Power Administration, 2001; Northwest
Power and Conservation Council, 2020c, d; Stern, 2018). Dams along the Canadian side of the Columbia River pro-
duce around half of the province’s hydropower generation
(Government of British Columbia, 2019). Figure 1c shows
the locations of major CRT dams considered in the sys-
tem dynamics model. The reservoir capacity of Canadian
treaty dams is 36810 × 106 m3, of which 28387 × 106 m3 is 3
Methodology In this section we present the conceptual model of Columbia
River system under CRT, the formulation of a system dy-
namics model, model calibration and validation, and sce-
nario analysis. To incorporate the transboundary dynamics
and feedback between the hydrological and social systems,
we simplify the representation of the hydrology and reservoir
operations by aggregating the CRT treaty dams for Canada
and the United States. To understand the long-term dynam-
ics of cooperation and robustness of the cooperation under
change, four scenarios based on plausible cases of environ-
mental and institutional change and four scenarios based on
social preferences were developed and tested as discussed
below. g
g
The original agreement during 1960s prioritized flood con-
trol and hydropower, but emerging social and environmental
concerns have shifted the way that reservoirs are operated
within the Columbia River basin. Dam construction altered
the hydrology significantly by moderating the strong sea-
sonal flow variability, impacting ecosystem health. For ex-
ample, changes to salmon spawning habitat elevated smolt
and adult migration mortality and led to declines in the
salmon population (Kareiva et al., 2000; Karpouzoglou et al.,
2019; Natural Resource Council, 1996; Northwest Power
Planning Council, 1986; Williams et al., 2005). After the
1970s, mounting social pressure to protect the aquatic envi-
ronment resulted in changes in dam operations that shifted
the economic benefits that the countries receive from co-
operation (Bonneville Power Administration, 2013; Leonard
et al., 2015; Northwest Power and Conservation Council,
2020b, a). This increased prioritization of ecosystem health
is also seen in other transboundary river basins (Giordano
et al., 2014). With changing priorities and operations affect-
ing both actors’ share of benefits, incentives to cooperate are
shifting. 2
Columbia River system and treaty dams This flood was the impetus for the United States to
seek cooperation with Canada because it was not possible to
build sufficient storage along the downstream portion of the
river to ensure protection from large floods. The summary of
dams along the Columbia River is given is Table 1. allocated for flood protection in the United States, and the
capacity of the US treaty dams is 11577 × 106 m3. Grand
Coulee is the largest and furthest upstream dam on the US
side. Thus, inflow to the Grand Coulee includes the outflow
from the Canadian dams and external tributaries that intersect
with the river. Flooding has been the major concern in the
downstream portion of the Columbia River. For example, the
flood in Vanport, Oregon, in 1948 motivated the construction
of additional storage dams along the river (Sopinka and Pitt,
2014). This flood was the impetus for the United States to
seek cooperation with Canada because it was not possible to
build sufficient storage along the downstream portion of the
river to ensure protection from large floods. The summary of
dams along the Columbia River is given is Table 1. 2
Columbia River system and treaty dams The Columbia River, as depicted in Fig. 1, with its headwa-
ters located in the mountains of British Columbia, has a basin
that extends 670 807 km2 into seven US states – Washington,
Oregon, Idaho, Montana, Nevada, Utah, and Wyoming – be-
fore reaching the Pacific Ocean in Oregon (Cosens, 2012). Figure 1 also shows the location of the treaty dams along the
Columbia River. While only 15 % of the river’s length flows
through Canada, 38 % of the average annual flow originates
there (Cosens, 2012). By volume, it is the fourth largest river
in North America, producing 40 % of all US hydropower https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs
489
Table 1. List of dams represented by the model. Projects that do not present usable storage capacity are run-of-the-river dams. Treaty storag
commitment refers to the room available to accommodate glacier waters under the CRT. Project
Reservoir formed
Country
Total
Usable
Treaty
HP
Year of
storage
storage
storage
capacity
completion
capacity
capacity
commitment
(MW)
(km3)
(km3)
(km3)
Mica Dam
Kinbasket Lake
Canada
24.7
14.8
8.6
1736
1973
Duncan Dam
Duncan Lake
Canada
1.77
1.73
1.73
–
1967
Keenleyside Dam
Arrow Lake
Canada
10.3
8.76
8.8
185
1968
Grand Coulee
Franklin D. Roosevelt Lake
USA
11.6
6.4
–
6809
1941
Chief Joseph
Rufus Woods Lake
USA
0.6
–
–
2069
1955
McNary
Lake Wallula
USA
0.23
–
–
980
1994
John Day
Lake Umatilla
USA
0.54
–
–
2160
1971
The Dalles
Lake Celilo
USA
0.41
–
–
2100
1957
Bonneville
Lake Bonneville
USA
0.66
–
–
660
1938 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4897 allocated for flood protection in the United States, and the
capacity of the US treaty dams is 11577 × 106 m3. Grand
Coulee is the largest and furthest upstream dam on the US
side. Thus, inflow to the Grand Coulee includes the outflow
from the Canadian dams and external tributaries that intersect
with the river. Flooding has been the major concern in the
downstream portion of the Columbia River. For example, the
flood in Vanport, Oregon, in 1948 motivated the construction
of additional storage dams along the river (Sopinka and Pitt,
2014). A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs The basis of the model is that
each country has responsibility over operating its own dams. The modeling framework is illustrated with a causal
loop (CL) diagram in Fig. 2. The CL diagram illustrates all
the key hydrological, environmental, economic, and social
variables, relationships, direction of those relationships, and
feedback. The storage capacity of Canada (upstream) and the United
States (downstream) are two important state (hydrological)
variables which represent the aggregated storage of the treaty
dams (Fig. 2), the operation of which is determined by the
storage thresholds. The increase in a storage threshold results
in an increase in the storage level. Three Canadian dams,
namely Mica, Duncan, and Arrow/Keenleyside, are lumped
into a single storage as all three dams are multifunctional
for flood control and hydropower production. However, it
should also be noted that Mica and Arrow dams are the ma-
jor dams in Canada contributing to flood control as those
are along the primary stream order of Columbia River and
Duncan Dam is in the small tributary (Fig. 1). In terms of
storage volume Mica, Arrow and Duncan dams are 24.7,
10.3, and 1.77 km3, or 67 %, 28 %, and 5 % of total stor-
age, respectively (Table 1). In the United States, the Grand
Coulee dam is the only multifunctional dam with useable
storage for flood control. Given that the Grand Coulee is
the only dam with storage in the US system, we have only
lumped the reservoirs for hydropower generation, not flood
control. We used the lumped reservoir approach to simplify
the system process required to investigate our research ques-
tions. The lumped approach is particularly appropriate be-
cause all the treaty dams work in coordination to achieve
either the hydropower benefits (by US dams) or the flood
control (by Canadian dams). The schematic of the lumped
system is also shown in Fig. S18 and Sect. S4 in the Supple-
ment. In lumping the system, we have considered external
input variables such as tributaries and added to the outflow
from the Canadian reservoir or inflow to the US reservoir. These dams along the Columbia River either have signifi-
cant flood control capacity or significant hydropower pro-
duction capacity (Table 1). Thus, the simplified reservoir
operation described below in Sect. 3.2.1 was implemented
in the lumped storages on each side of the border, which
represent collective operation of all the treaty dams within
each country. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeof 4898 more outflow yields higher hydropower benefit. However, the
need for flood control is intermittent depending on the sea-
sonal high flows. Thus, Canada does not reduce the storage
level throughout the year but just before the incoming higher
flows. Reservoir levels in the United States (under CRT) are
kept as high as feasible to maximize hydropower generation. Each country’s reservoir outflow is used to calculate flood
control and hydropower production (Fig. 2, economic vari-
ables), which is converted into monetary units as shown in
the CL diagram. Fish spill is included as an environmental
variable as the reduced salmon migration causes depletion
of the salmon population in Columbia River. Thus, a coun-
termeasure, increase in fish spill, is in place. However, the
increase in fish spill has a tradeoff in hydropower production
as less water flows through the turbine. The United States
provides additional benefits to Canada through the Canadian
Entitlement, a payment equal to half of the expected addi-
tional hydropower generated due to cooperative management
of the CRT dams. The collective monetary benefit from flood
control and hydropower among countries determines the util-
ity of cooperation and non-cooperation (economic variables)
for each country as described in Sect. 3.2.2. The social pref-
erences in different scenarios determine different values for
utility of cooperation and non-cooperation depending on the
actor’s social preference. Thus, the directions of these rela-
tionships are conditional (Fig. 2). Having higher utility for
cooperation under CRT results in a higher probability of co-
operation. However, under changing social preferences, if
the utility of non-cooperation is higher, the probability of
cooperation decreases. In sum, increase in cooperation for
Canada results in decrease of dynamic storage threshold, so
Canada operates their reservoirs for downstream flood con-
trol. Similarly, increase in cooperation for the United States
results in increase of the dynamic storage threshold, so the
United States operates for maximum hydropower generation,
thus creating two similar feedback loops for Canada and the
United States (Fig. 2). be maintained at higher levels to achieve the highest hy-
draulic head possible. In a non-cooperative regime, Canada
would likely switch operations to maximize hydropower pro-
duction, while the United States would have to decrease stor-
age or water level to provide flood control, at the detriment
of US hydropower production. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs Other hydrological variables in the model (i.e.,
flows in the CL diagram) are inflow into Canadian storage,
outflow from Canadian storage plus intermediate tributaries,
inflow into the US storage, and outflow from the US stor-
age. The higher the outflow from the dams, the lower the
flood control as flood damages increase. A portion of the
reservoir outflow passes through hydroelectric turbines; thus 3.1
Socio-hydrological system dynamics model Under the cooperative regime, both Canada and the United
States operate their dams to fulfill the requirements of the
CRT. This means that Canada operates to maximize flood
control, while the United States operates to maximize hy-
dropower, and the benefits are shared between both coun-
tries. As discussed in the literature (BC Ministry of Energy
and Mines, 2013; Giordano and Wolf, 2003; Grey et al.,
2016; Jägerskog and Zeitoun, 2009; Qaddumi, 2008; Yu,
2008), countries are expected to continue cooperating if
they perceive the benefits to be shared equitably. On the
other hand, under the non-cooperative regime, the balance of
benefits is not perceived to be equitable; thus, the countries
would operate their reservoirs for their own benefit. Reser-
voir operation to maximize flood control and to maximize
hydropower production are in opposition for Canada and
the United States. This is because operation for maximizing
flood control requires drawdown of reservoir storage to pro-
vide space for incoming high flows, while operation for max-
imizing hydropower production requires reservoir storage to https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 3.2
Equations and parameters Equations describing the links between stocks and flow vari-
ables as shown in the CL diagram (Fig. 2) are categorized
into reservoir operation, cooperation dynamics, economic
benefits, and environmental spills. These equations mathe-
matically describe hydrological processes, as well as feed-
back from social and economic variables. The following sec-
tions describe the formulation of equations for each part of
the system in greater detail. The inflow, outflow, water level,
and storage data obtained from the Environment Canada
(2022), USACE (2013), USACE (2022) and USGS (2022)
are presented in Figs. S2–S10. https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4899 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs
4899
Figure 2. The causal loop diagram presents the hydrological and cooperation feedbacks between the Canada and the United States. Different
colors shows the hydrological, environmental, economic, and social variables. Figure 2. The causal loop diagram presents the hydrological and cooperation feedbacks between the Canada and the United States. Different
colors shows the hydrological, environmental, economic, and social variables. Figure 2. The causal loop diagram presents the hydrological and cooperation feedbacks between the Canada and the United States. Different
colors shows the hydrological, environmental, economic, and social variables. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs Figure 3. Schematic representation of the dynamic storage thresh-
old (Sthreshold), represented by the green line. Sthreshold can range
between the blue line, which represents the target storage to opti-
mize hydropower production (SHPthreshold), and the red line, which
represents the target storage to avoid flood damages downstream of
the dam (SFCthreshold). where I1 is the condition when SCA + QiCA · 86400 <
SCAthreshold, and nCA parameter maintains the dynamic stor-
age threshold required for flood control. QoUS QoUS
=
QiUS, for QiUS ≥QUSmax
QiUS + max
0,min
QUSmax
−QiUS,
SUS−SUSthreshold
86 400
i
,
(for I2)
QiUS +
SUS−SUSthreshold
86 400
,
(otherwise)
(4) =
QiUS,
QiUS ≥QUSmax
QiUS + max
0,min
QUSmax
−QiUS,
SUS−SUSthreshold
86 400
i
,
(for I2)
QiUS +
SUS−SUSthreshold
86 400
,
(otherwise)
(4) (4) Figure 3. Schematic representation of the dynamic storage thresh-
old (Sthreshold), represented by the green line. Sthreshold can range
between the blue line, which represents the target storage to opti-
mize hydropower production (SHPthreshold), and the red line, which
represents the target storage to avoid flood damages downstream of
the dam (SFCthreshold). where I2 is the condition when SUS +QiUS ·86400 < SUSmax. where I2 is the condition when SUS +QiUS ·86400 < SUSmax. US
Outflow was computed as a dependent variable of the fol-
lowing: a. inflows (QiCA and QiUS), a. inflows (QiCA and QiUS), steps where the United States endures higher flood dam-
ages, the United States switches from the hydropower pro-
duction regime (SUSHP) to the flood control regime to op-
timize its benefits (SUSFC). The target flood control storage
in Canada (SCAFC) was determined based on average histori-
cal storage in the three treaty reservoirs, while the hypothet-
ical hydropower scheme was assumed as the dams operating
at 95 % of their full production capacity. The US monthly
target storage under the hydropower scheme (SUSHP) was
determined based on the historical monthly average, while
the hypothetical target storage to provide themselves protec-
tion against floods was calculated as the additional room that
Canada would not provide in case of switching to the hy-
dropower scheme SCAHP, as presented in Eqs. (5) and (6). Therefore, the storage will be dependent on cooperation. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs The probability-to-cooperate variables CCA and CUS are de-
scribed in Sect. 3.2.2. b. maximum outflows observed in the Canadian side (Ar-
row and Duncan dams – QCAmax) and in the US side
(Grand Coulee – QUSmax), c. the maximum storage capacity of Canadian lumped dam
(SCAmax) and the Grand Coulee dam (SUSmax), d. the updated storage stage at each time step in the
lumped Canadian reservoir and the Grand Coulee reser-
voir (SCA, SUS) and d. the updated storage stage at each time step in the
lumped Canadian reservoir and the Grand Coulee reser-
voir (SCA, SUS) and e. the dynamic storage threshold for each side (SCAthreshold,
SUSthreshold). The dynamic storage threshold (m3) variable, mentioned
in Eqs. (3) and (4), was estimated according to the simplified
reservoir operation given by Eqs. (5) and (6) and is schemat-
ically represented by Fig. 3. It determines the operational
level of the reservoirs based on the probability of coopera-
tion (i.e., the higher the cooperation, the higher the coherence
with the CRT agreement). 3.2.1
Reservoir operation the Canadian side was calculated as the difference between
the streamflow at the International Border and outflow from the Canadian side was calculated as the difference between
the streamflow at the International Border and outflow from
Duncan and Arrow dams, while the tributaries between the
International Border and the Grand Coulee reservoir were es-
timated by a linear regression (Fig. S12). The change in Canadian and US storage (m3 d−1) as the func-
tion of inflow and outflow is given in Eqs. (1) and (2). Duncan and Arrow dams, while the tributaries between the
International Border and the Grand Coulee reservoir were es-
timated by a linear regression (Fig. S12). dSCA
dt
= QiCA −QoCA
(1)
dSUS
dt
= QiUS −QoUS
(2) (1) The regulated Canadian (QoCA) and US (QoUS) outflows
were simulated using Eqs. (3) and (4). (2) QoCA QoCA
=
QCAmax, for nCA · QiCA ≥QCAmax
nCA · QCAmax + max
h
0,min
QCAmax
−nCA · QiCA,
SCA−SCAthreshold
86 400
i
,
(for I1)
QCAmax, for QiCA ≥QCAmax
QiCA + max
h
0,min
QCAmax
−QiCA,
SCA−SCAthreshold
86 400
i
, (otherwise)
(3) The Canadian inflow (QiCA) corresponds to the streamflow
observed upstream of Mica and Duncan dams and the dif-
ference between Mica outflow and Arrow inflow (i.e., flow
from intermediate tributaries). The data were retrieved from
the Bonneville Power Administration (Bonneville Power Ad-
ministration, 2020). The US inflow (QiUS) is equal to the
outflow from Canadian storage (QoCA) plus the tributaries
between the outlet of Duncan and Arrow dams and inlet
of the Grand Coulee reservoir. The flow from tributaries on (3) Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 https://doi.org/10.5194/hess-26-4893-2022 4900 3.2.2
Cooperation dynamics Equations (12) and (13)
represent the rate of change in the cooperation probability
of the two state actors based on logit dynamics: (8) UUS = wUS −αUS · max(wUS −wCA,0)
+ βUS · max(wCA −wUS,0)
(9) (9) dCCA
dt
= χ
"
eγ ·E[UCA_coop]
eγ ·E[UCA_coop] + eγ ·E[UCA_NoCoop] −CCA
#
, (12)
dCUS
dt
= χ
"
eγ ·E[UUS_coop]
eγ ·E[UUS_coop] + eγ ·E[UUS_NoCoop] −CUS
#
,
(13) wCA = ω · (HPCA + FCCA + E)
(10) wCA = ω · (HPCA + FCCA + E)
(10)
dC
d wCA = ω · (HPCA + FCCA + E) (10) wUS = ω · (HPUS + FCUS −E),
(11) (11) where w of each country is the utility from monetary
benefits, HP of each country is the hydropower benefit, FC of
each country is the benefit from flood prevention, E is the
Canadian Entitlement, and ω is the coefficient that can con-
vert the monetary values to utility. The subscripts CA and
US refer to Canada and the United States, respectively. Here,
α and β values are set to be positive to capture inequality
aversion for the behavioral model of Canada and the United
States. This is because the balance of benefits (Bankes, 2017;
Shurts and Paisley, 2013) between these two countries is be-
lieved to be a key factor to explain the level of cooperation. where CCA and CUS represent the probability of each country
to cooperate (ranging from 0 for non-cooperation to 1 for full
cooperation), and the parameter χ represents the probability
that each actor engages in internal comparison of two choices
and updates their probability to cooperate per time step. A
small value implies the conservativeness of each actor. E[...]
stands for an expected value. The parameter γ controls the
stochasticity of the choice of strategy. A small value indi-
cates that the choice is nearly random, whereas a very large
value means a nearly deterministic choice. We assumed γ to
be large and constant as both actors aim for higher expected
utility. For probability to cooperate, if CCA equals 0.9, that
means there is 90 % likelihood that Canada will cooperate
with the United States and 10 % likelihood it will not coop-
erate. We use logit dynamics functions to capture the rate of
change in the cooperation probability of the two state actors
(Iwasa et al., 2010). 3.2.2
Cooperation dynamics Cooperation amongst the two actors both impacts and is im-
pacted by reservoir operations and benefit sharing. Unequal
distribution of benefits alters the sense of fairness and reci-
procity, two behavioral traits that are known to be widespread
(Fehr and Fischbacher, 2002). To conceptualize and under-
stand the cooperation dynamics between two actors in the
context of CRT, the theory of social preferences is drawn
from the field of behavioral economics. Social preferences
– which means that actors care not only on their own ma-
terial benefits, but also about the material benefits of other
actors – have been widely observed in behavioral studies and
are consistent with the empirical pattern that many people
have aversion to inequality and cooperate only when their
initial cooperation is reciprocated by others (Fehr and Fis-
chbacher, 2002). Generally, the “actors” could be individuals
or groups of individuals occupying positions ranging from
household members to decision makers in multiple levels of
government. In line with Charness and Rabin (2002), these
preferences can be formalized as a general utility function SCAthreshold = SCAFC · CCA + (1 −CCA) · SCAHP
(5)
SUSthreshold = SUSHP · CUS + (1 −CUS) · SUSFC
(6) (5)
(6) (5)
(6) As explained above, we consider two operation schemes
for each country: (1) operate to maximize for flood control or
(2) operate to maximize for hydropower production. Depend-
ing on the state of cooperation, the choice will change. In
most cases, the system will depend on what Canada chooses,
and the United States will have to alter its operations in re-
sponse. Therefore, when the Canadian probability to coop-
erate parameter (CCA) approaches 1, Canada is fully coop-
erating. Under cooperation, we assume that Canada operates
to maximize flood control, and the United States operates to
maximize hydropower. Conversely, when CCA approaches
zero, this would indicate lack of cooperation. Under non-
cooperation, the Canadian side does not provide flood stor-
age to the United States, and, after a few simulation time https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4901 ui, given by Eq. (7): ui, given by Eq. (7): Table 2. 3.2.2
Cooperation dynamics The payoff matrix of the mixed-strategy prisoner’s
dilemma between Canada and United States showing monetary ben-
efit for Canada (wCA_) and the United States (wUS_) in four con-
ditions: CC – the US and Canada both cooperate, CN – the United
States cooperates and Canada does not, NC – the United States does
not cooperate and Canada does, and NN – the United States and
Canada both do not cooperate. ui = wi −αi · max
wi −wj,0
+ βi · max(wj −wi,0), (7) where ui is actor i’s net utility, wi is actor i’s material pay-
off, and wj is actor j’s material payoff. Depending on how
the signs of α and β are set, the four general types of social
preferences described in Sect. 1 can be captured. Note that a
positive value of α represents actor i’s disutility from having
more than the other actor (the guilt coefficient), and a posi-
tive value of β represents actor i’s disutility from having less
than the other actor (the jealousy coefficient). Thus, positive
α and β values mean that actor i has inequality aversion. United States
Canada
Coop
No coop
(CCA)
(1 −CCA)
Coop
(wUSCC, wCACC)
(wUSCN, wCACN)
(CUS)
No coop
(wUSNC, wCANC)
(wUSNN, wCANN)
(1 −CUS) The general utility function of Eq. (7) can be applied to the
context of CRT by structuring the utility function U of each
country as shown in Eqs. (8)–(11): UCA = wCA −αCA · max(wCA −wUS,0)
+ βCA · max(wUS −wCA,0)
(8) following a particular strategy, compares that strategy’s pay-
off to the material payoff of his or her current strategy, and
then deterministically chooses the better strategy. Because
logit dynamics is more compatible with representation of so-
cial preferences, and because of its stochastic best response
nature, we chose logit dynamics. Equations (12) and (13)
represent the rate of change in the cooperation probability
of the two state actors based on logit dynamics: following a particular strategy, compares that strategy’s pay-
off to the material payoff of his or her current strategy, and
then deterministically chooses the better strategy. Because
logit dynamics is more compatible with representation of so-
cial preferences, and because of its stochastic best response
nature, we chose logit dynamics. 3.2.3
Economic benefit equations The model simulates the benefits that both countries receive
from the river. The default operation assumes that the coun-
tries cooperate to maximize benefits across the whole system,
while in the counter case, benefits are based on operation of
each side individually. The economic benefits related to flood
control are accounted as the damages prevented by the reser-
voir storage operations. Although the U.S. Corps of Engi-
neers reports that flood damages in Trail, British Columbia, a
city near the International Border, occur when streamflow ex-
ceeds 6371 m3 s−1 (225 000 cfs) (USACE, 2003), we did not
find details about the damages related to the seasonal flows
in Canada. Therefore, the associated economic benefit due to
the damages prevented for the Canadian side due to reservoir
operation was assumed to be negligible. HPGrand Coulee = 0.042 · (Qout · h) + 9802.7
(19) (19) In addition, we calculated the daily electricity produced by
the other five dams in Eq. (20): In addition, we calculated the daily electricity produced by
the other five dams in Eq. (20): In the United States, significant damages occur when
streamflow exceeds 12 742 m3 s−1 at Dalles, Oregon, and
major damages are caused when flows reach 16 990 m3 s−1
(Bankes, 2012). Therefore, when they are operating jointly,
Canada must draw down storage reservoirs before 1 April
to accommodate spring runoff and avoid peak flows down-
stream. Otherwise, we assume that the United States must
switch to a flood control scheme. Flood damages prevented
because of reservoir management under CRT were explored
by Sopinka and Pitt (2014). They compared the maximum
annual daily peak flows at Dalles after the implementation
of the CRT and the corresponding monetary damages they
could have caused without flood control storage provided. The results of their study were fitted to an exponential curve
using Eq. (17), which gives economic benefit in the United HP5 dams =
(
40.3 · (Wfish · Qout) for Wfish · Qout ≤4000m3 s−1
27.8 · (Wfish · Qout) for Wfish · Qout > 4000m3 s−1,
(20) (20) where HP5 dams is the hydropower in megawatt hours
(MWh) produced by Chief Joseph, McNary, John Day, the
Dalles, and Bonneville dams. The variable Qout is Grand
Coulee’s daily outflow, and Wfish is the weighting factor that
considers the operations to meet environmental demands,
which is detailed in Sect. 3.2.4. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs and Canada chooses not to cooperate. The expected mone-
tary payoff of Canada is calculated as shown in Eq. (14) (al-
though not shown here, an equation with the same structure
was used for the expected utility of the United States). The
expected net utility of Canada that reflects its inequality aver-
sion is derived using Eqs. (15) and (16) (although not shown,
equations with the same structure were used for the United
States). FCUS = 4.007 · exp(2×10−4·QDalles),
(17) (17) which presented a R-squared value equal to 0.76. This func-
tion was used to estimate the value of flood protection. More
details on flood control benefit are presented in Fig. S11–
S13. The economic benefit in the United States due to flood
damages avoided (FCUS) is based on inflow (m3 s−1) into
the Dalles dam (QDalles). Thereafter, we found the corre-
lation between the Dalles’ inflow and the combined out-
flow of Grand Coulee (QGrand Coulee) and the Snake River
(QSnake River) (Eq. 18). E[wCA] = E[wCACoop] · CCA
+ E[wCANoCoop] · (1 −CCA)
(14) (14) E[UCAcoop] = E[wCACoop] −αCA · max(E[wCACoop]
−E[wUS],0) + βCA · max(E[wUS]
−E[wCA_Coop],0)
(15) QDalles = 1.3329·(QGrand Coulee+QSnake River)−122.91 (18) (15) The Snake River discharge was included in this analysis
because its basin is the major tributary to the Columbia River,
contributing to flow at the Dalles. The other economic benefit resulting from management of
the Columbia River is the electricity produced by the hy-
dropower facilities installed in the dams listed in Table 1. Although other dams on the Canadian side of the Columbia
Basin have capacity to generate hydropower, the model only
considers those three that are part of the CRT. Similarly, we
only consider the six federal dams on the US side whose
surplus production contributes to the determination of the
Canadian Entitlement. Since all six dams produce energy, but
only the Grand Coulee operations were modeled, we split
the economic benefit from hydropower generation into two
parts. Equation (19) resulted from the regression performed
between the product of the forebay level (h) times Grand
Coulee’s daily average outflow (Qout) versus the daily histor-
ical hydropower produced by Grand Coulee (HPGrand Coulee)
(MWh), which resulted in an R-squared value equal to 0.84. E[UCAnocoop] = E[wCANoCoop] −αCA · max(E[wCANoCoop]
−E[wUS],0) + βCA · max(E[wUS]
−[wCA_NoCoop],0)
(16) (16) 3.2.2
Cooperation dynamics We chose to use logit dynamics (Hof-
bauer and Sigmund, 2003) over replicator dynamics (Taylon
and Jonker, 1978) because the former enables us to incorpo-
rate actors’ innate social preferences, i.e., each actor inter-
nally compares two choices (e.g., cooperation vs. defection)
in terms of net utilities that reflect their social preferences and
then makes a probabilistic choice. In comparison, replicator
dynamics are based on social comparisons of externally ob-
servable material payoffs and social imitation; i.e., each ac-
tor sees externally observable material payoffs of other actors It is commonly observed that actors cooperate if they ex-
pect others will do the same (Fehr and Fischbacher, 2002). In line with this notion, a mixed-strategy prisoner’s dilemma
is used to calculate the expected monetary payoffs, E[w],
according to the combination of strategic decisions across
countries (Table 2). For example, wCACN is the monetary ben-
efit of Canada when the United States chooses to cooperate, https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs
h
d
S
d
fl
d
l 4902 3.3
Model setup and testing HPCA = µ · γ · Qturb · H
103
· HPCAD
(22) (22) The equations described above are formulated into the sys-
tem dynamics model and implemented in R, a statistical pro-
gramming environment. In this study we used the library
package deSolve, version 1.28 (Soetaert et al., 2010, 2020),
to solve the initial value problem of ordinary differential
equations (ODEs), differential algebraic equations, and par-
tial differential equations. The ordinary differential equations
wrapper (i.e., lsoda) that uses variable-step, variable-order
backward differentiation formulae to solve stiff problems or
Adams methods to solve non-stiff problems (Soetaert et al.,
2010) was used to compute dynamic behavior of the lumped
reservoir system and to assess how the reservoir level and
operation rules change as a function of time and different
variables. The model was simulated using daily time steps,
and the outputs are extracted and presented at monthly scale. Sensitivity analysis was conducted to test the sensitivity of
the parameters and identify the parameters that are most im-
portant. However, all unknown parameters were used in cal-
ibration due to the limited computational cost. The details of
the sensitivity analysis are presented in Sect. S3. Since this equation is based on the Mica dam, and, in the
model, the three Canadian dams are modeled together, the
Qturb and H were interpolated according to the actual and
maximum recorded Canadian outflow and Canadian storage,
respectively. The last economic benefit modeled in this study is the en-
titlement that United States returns to Canada as a payment
for increased hydropower generation due to the collabora-
tion between both countries. The Canadian Entitlement (E),
simulated in USD, is a function of the actual entitlement in
MWh provided by the United States, the κ parameter, which
corresponds to a dimensionless correction factor of the total
energy produced by the United States, and the average energy
price HPUSD of Oregon and Washington states (Eq. 23). E = Entitlement · κ · HPUSD
(23) (23) E = Entitlement · κ · HPUSD 3.2.3
Economic benefit equations The correlation for the first
and second conditions in Eq. (20) presented R-squared val-
ues equal to 0.99 and 0.94, respectively. Correlation to pre-
dict hydropower generation from outflows and forebay levels
is presented in Figs. S14 and S15. In Eq. (21) we calculate the Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 https://doi.org/10.5194/hess-26-4893-2022 A Shrestha et al : Socio-hydrological modeling of flood control and hydropower tradeoffs
4903 4903 r production (HPUS)
detailed in Eq. (24). Wfish =
P5
i=1
Qfishi
Qoutflowi · MaxHPi
P5
i=1MaxHPi
(24) (24) (21) where HPUSD is the average energy price of Oregon and
Washington states according to the U.S. Energy Information
Administration (2022). This weighting factor (Wfish) accounts for the fraction of
flow (
Qfishi
Qoutflowi ) that no longer goes through the hydropower
turbines between April and August because it is released
through a spillway or a regulating outlet to meet the biologi-
cal demands. We calculated the average monthly fraction for
each of the i dams downstream of Grand Coulee and multi-
plied it by the maximum hydropower produced by each dam
(MaxHPi) to address individual contributions and the partic-
ular effect of FOPs at treaty dams. For the Canadian dams, historical data on hydropower
production are not available. Therefore, Eq. (22) estimates
the economic benefit due to electricity produced in Canada
(HPCA) in USD based on the generation flow capacity
(Qturb), the maximum hydraulic head (H), the hydropower
facility efficiency (µ), the specific water weight (γ ), and the
electricity price in British Columbia according to BC Hydro
(2020) converted to USD equivalent. 3.4
Scenario analysis Scenario analysis explores dynamics within cooperation and
benefit sharing as a result of external environmental factors,
institutional capacity, and social and behavioral preferences. 3.4.1
Scenarios based on environmental and
institutional change The CRT’s success has been based on benefit sharing be-
tween the two countries (Hyde, 2010). However, due to in-
creased environmental flows in the United States, some par-
ties feel benefits are no longer equitable. Based on these is-
sues, four scenarios were developed to represent the changes
in institutional capacity and environmental factors that could
affect the probability of cooperation. The model was used to
simulate the probability of cooperation under these scenar-
ios for 28 years between 1990 to 2017, which was compared
with the baseline scenario that represents the existing system
obtained from the calibrated model. These scenarios are as
follows: Figure 4. Overview of calibration process to optimize parameter
values using the genetic algorithm. The stopping criteria include
either the maximum iteration for the algorithm to run, which is set
at 200 generations, or the number of iterations before the algorithm
stops, in case no further optimal fitness value can be found, which
is set at 70 generations. i. Chi (χ) decreases. The calibrated value of 0.5 decreases
to 0.05. χ represents the institutional capacity which de-
termines the growth potential of the probability of co-
operation. This type of condition could occur due to a
more tense relationship between the United States and
Canada that could arise due to lack of cooperation in
other areas or weaker institutions. A maximum of 200 iterations and a population size of 200
were used to run the algorithm with a stopping criterion of
70 iterations before the algorithm stops when no further im-
provement can be found. The selected larger population size
and iterations, for eight parameters, ensure that search space
is not restricted. The range of parameter values assigned was
0.01 to 0.8 for χ, 0.95 to 1.05 for Wfish, 0.1 to 0.5 for nCA,
0.95 to 1.05 for κ, 0 to 1.3 for αUS and αCA, and −4 to −0.01
for βUS and βCA. The model was calibrated using daily time
series data from 1990 to 2005, and fitted parameters were
used to validate the model using data from 2006 to 2017. ii. Chi (χ) increases. The calibrated value of 0.5 increases
to 0.7. This scenario represents the strengthening of in-
stitutions. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4904 Figure 4. Overview of calibration process to optimize parameter
values using the genetic algorithm. The stopping criteria include
either the maximum iteration for the algorithm to run, which is set
at 200 generations, or the number of iterations before the algorithm
stops, in case no further optimal fitness value can be found, which
is set at 70 generations. simulated and observed data, with its values ranging from 0
to 1 and 1 indicating better fit. For mathematical expressions
of these metrics, readers are referred to Zambrano-Bigiarini
(2020). 3.4.1
Scenarios based on environmental and
institutional change Note that the selection of χ values for sce-
narios “Chi (χ) increases” and “Chi (χ) decreases” was
done based on experimentation, where drastic change
in CCA and CUS is observed at both ends of increasing
and decreasing χ from the calibrated value. iii. High fish spills. Environmental concerns result in prior-
itization of spills for fish passage. Water for fish spills
increases by 40 % from April through August. g
The model assessment for the goodness of fit between
modeled and observed values was done using four goodness-
of-fit metrics, including root mean square error (RMSE), per-
cent bias (PBIAS), volumetric efficiency (VE), and relative
index of agreement (rd). RMSE gives the standard deviation
of the model prediction error, with lower RMSE indicating
better fitness. PBIAS measures average tendency of the sim-
ulated values to be higher or lower than the observed data,
which range from −∞to +∞, and its optimal value is 0. VE is a modified form of mean absolute error in which ab-
solute deviation is normalized by the total sum of observed
data, which could range from 0 to 1, with 1 indicating bet-
ter agreement. Lastly, rd measures the agreement between iv. Chi (χ) decreases and high fish spills. Chi (χ) decreases
to 0.05, and fish spills increase by 40 %. It represents
the scenario when environmental pressure is high, and
institutions are weaker. Calibration and validation The Fish Operation Plan (FOP) details the spills dams must
release to meet biological requirements. Fish passage facili-
ties have decreased hydropower generation. The Bonneville
Power Administration, which operates the US treaty dams,
estimates that losses due to forgone revenue and power pur-
chases are about USD 27 million to USD 595 million per
year (Northwest Power and Conservation Council, 2019). Although the historical data between 1985 and 2018 of hy-
dropower generated by the six US dams listed in Table 1 re-
veal hydropower production increased after the FOP imple-
mentation, when normalized as the ratio of hydropower pro-
duction to inflows, there is in fact a decrease in production
after FOP is implemented. The calibration and selection of appropriate parameter val-
ues are essential to accurately reproduce the system’s behav-
ior. The calibration parameters can be found in Fig. 4. These
parameters are related to both the hydrological and socio-
economic components of the system. A genetic algorithm
(GA) (Scrucca, 2021) was used to optimize the system dy-
namics model, using observation for the period from 1 Jan-
uary 1990 to 31 December 2005. The methodological frame-
work for model calibration is presented in Fig. 4. A single ob-
jective function was defined as minimizing the average root
mean square error of reservoir water levels in Canada and the
United States (Z), which is given by Eq. (25). In order to address the impact of biological spills on hy-
dropower production, we created a weighting factor in the
hydropower benefit equation for the United States, which is Z = RMSESca + RMSESus
2
(25) RMSESca + RMSESus (25) 2 https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4.1
System dynamics model parameterization and
testing During the calibration period from 1990 to 2005 (and to the
present) Canada and the United States have conformed to the
treaty, irrespective of changes in benefit sharing and proba-
bility to cooperate. The selection of these social, economic,
and behavioral parameters therefore represents conditions of
cooperation regime. Based on the objective function, the goal
was to calibrate the model to simulate reservoir levels that
match past observations. Figure 5a–d show the simulated
and observed time series, during 1990 to 2005, of the stock
(storages) and flow (outflow) variables, along with the eco-
nomic variable of hydropower benefits for the United States. The model performance metrics for the calibration period are
shown in Table 4. The metrics show good calibration results
with respect to all four metrics. The root mean square error
and percent bias are minimal, and volumetric efficiency is
higher, for both stock and flow variables. Although the mag-
nitude of the RMSE is large, it is considered a good fit when
compared proportionally with reservoir volumes, streamflow,
and benefits. i. Scenario 0. We posit that both Canada and the
United States have the same inequality aversion (αCA =
αUS = 0.9, βCA = βUS = −1). The same inequality
aversion means that the actors prefer the benefits to be
equally distributed; i.e., each actor wants to increase/de-
crease their benefits up to the equitable benchmark
when there is imbalance in benefits. This scenario is not
the same as the “baseline” scenario discussed above in
Sect. 3.4.1, where four scenarios based on environmen-
tal and institutional change are compared. As seen in Fig. 5a and b, the total reservoir capacity in
the Canadian treaty dams far exceeds the capacity of the
US treaty dams, and it is to be noted that the treaty flood
control (FC) level in the Canadian dams is 28387 × 106 m3
(equivalent to the 8.95 × 106 AF (acre-feet) flood storage re-
quested by the United States). Grand Coulee inflow is the
primary input to the US storage. Thus, the observed and com-
puted inflows are compared to ensure accurate model behav-
ior (Fig. 5c). The hydropower benefit for Canada depends on
US hydropower production due to the Canadian Entitlement;
thus, only the benefit of the United States was selected for
assessing the calibration results, as estimating hydropower
benefit of the United States correctly is an important process
in the model (Fig. 5d). 4
Results This section presents results of model parameterization us-
ing the genetic algorithm, including results from the scenario
analysis. effect of material or benefit payoffs. The key assumption in
economic science that economic reasoning is mostly based
on self-interest or that all actors are exclusively motivated
by their material self-interest is invalid as this assumption
rules out the heterogeneity arising from social preferences
which substantial fraction of people exhibit (Fehr and Fis-
chbacher, 2002). To explore the effect of inequality aversion
of each country on the cooperation dynamics, we develop
four scenarios with different configuration of α and β val-
ues for Canada and the United States (shown in Table 3). Theoretically, the value of the two coefficients should range
from β < 0 < α ≤1, and jealousy is more likely than guilt
(|β| > |α|) (Fehr and Schmidt, 1999). The four scenarios are
the following: A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoff We did not include the change of the jealousy of the United
States or the guilt of Canada in the scenario analysis. This
choice is justified because the net monetary benefit of the
United States is always higher than that of Canada, so the
United States never feels jealousy, nor does Canada feel guilt. In each scenario, we impose a small amount of white noise to
each country’s α and β values, which introduces an element
of stochasticity. Table 3. The configuration of different other-regarding preferences
of Canada and the United States for scenario analysis. In Scenario 0,
both countries have the same level of inequality aversion, while in
Scenario 1, the United States has less guilt than Scenario 0, in Sce-
nario 2, Canada is more jealous than in Scenario 0, and in Sce-
nario 3, both countries are only concerned with their own utility. αCA
αUS
βCA
βUS
Scenario 0
0.9
0.9
−1
−1
Scenario 1
0.9
0.3
−1
−1
Scenario 2
0.9
0.9
−3
−1
Scenario 3
0
0
0
0 3.4.2
Scenarios based on social preferences As discussed by Fehr and Fischbacher (2002) and Kertzer
and Rathbun (2015), consideration of social preferences is
required to understand mechanisms of cooperation and the Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 https://doi.org/10.5194/hess-26-4893-2022 4905 4.1
System dynamics model parameterization and
testing Here, the Canadian Entitlement pro-
vided in terms of energy supply is converted into monetary
units to compare hydropower with other benefits. The sim-
ulated hydropower production for the United States is com- ii. Scenario 1. The United States has less guilt than Canada
(αCA = 0.9, αUS = 0.3, βCA = βUS = −1). That means
the United States is willing to have more benefits than
Canada. ii. Scenario 1. The United States has less guilt than Canada
(αCA = 0.9, αUS = 0.3, βCA = βUS = −1). That means
the United States is willing to have more benefits than
Canada. iii. Scenario 2. Canada has more jealousy than the United
States (αCA = αUS = 0.9, βCA = −3, βUS = −1). This
means Canada is unwilling to have fewer benefits than
the United States. iv. Scenario 3. We assume that the both countries have
no social preferences (αCA = αUS = βCA = βUS = 0),
which signifies self-interest or selfishness. In this sce-
nario, each country is only concerned with its own util-
ity and indifferent to the utility of the other. https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4906 4906
A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs
Figure 5. Calibration result from 1990–2005 showing (a) Canadian storage, (b) US storage, (c) Grand Coulee inflow, and (d) hydropower
benefit for the United States. Note that sim. – simulated, obs. – observed, full capacity – maximum capacity, CRT FC level – CRT flood
protection target level, and min. level – minimum capacity for the US dams. Figure 5. Calibration result from 1990–2005 showing (a) Canadian storage, (b) US storage, (c) Grand Coulee inflow, and (d) hydropower
benefit for the United States. Note that sim. – simulated, obs. – observed, full capacity – maximum capacity, CRT FC level – CRT flood
protection target level, and min. level – minimum capacity for the US dams. Table 4. Calibration (1990–2005) and validation (2006–2017) result. https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022
https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 4.2.1
Scenarios based on environmental and
institutional change The four scenarios tested here are based on changes in envi-
ronmental and institutional conditions. The results are com-
pared with the baseline scenario, which represents cooper-
ation between both countries. In the quantile-quantile plot
(Fig. 8a–f), the baseline scenario is shown on the horizontal
axis and four scenarios on the vertical axis, where each point
represents a time step. The scenario “χ decreases” signifi-
cantly reduces the probabilities to cooperate for both coun-
tries as the maximum CCA reduced from 0.9 to 0.8 and max-
imum CUS reduced from 0.7 to 0.6. Reducing χ showed that
the maximum as well as minimum probability to cooperate or
CCA reduces. The probability to cooperate for Canada under
the “χ decreases” scenario is similar to the “χ decreases and
high fish spills” scenario (Fig. 8a); thus blue and cyan points
mostly overlap. Similar results were seen for the US prob-
ability to cooperate (Fig. 8b). Lowering the χ resulted in
lower CCA, and, therefore, Canada would be expected to in-
crease the level of storage in its dams to produce more hy-
dropower as compared to the baseline (Fig. 8c). This could
mean the Canada maintains its reservoir at ∼1300 × 106 m3
higher than in baseline. Lowering the χ impacted CUS too,
along with CCA, because, if Canada increased its hydropower
production, the United States would have to provide its own
flood control. Therefore, reservoir levels in the United States
would decrease as compared to the baseline when χ de-
creases (Fig. 8d). Since Canada would produce its own hy-
dropower in this scenario, the monetary benefit slightly in-
creases or remains similar compared to the baseline at the
daily timescale, and the result is similar to the “χ decreases
and high fish spills” scenario for Canada (Fig. 8e). PBIAS for both calibration and validation showed that the
result is close to optimal, and Grand Coulee inflow showed
the best fit with the PBIAS value that is closest to 0. VE is
only applied to the reservoir volumes and streamflow, as per
the suitability of the metric. VE values are greater than 0.72,
suggesting a good fit. Similarly, agreement index or rd values
indicated better performance for all the comparisons, except
for Canadian storage. The result of these metrics show that
the model is able to replicate and predict the desired behavior. 4.2
Scenario analysis pared to the observed cumulative energy production data re-
trieved from the U.S. Army Corps of Engineers database. The benefit in terms of the monetary value is obtained by
multiplying the average unit cost (USDMWh−1) of energy
by the hydropower quantity (MWh). The scenario analysis results presented below are based
on environmental and institutional change and social pref-
erences. The scenario analysis covers the same time pe-
riod from 1990 to 2017, utilizing observed inflow, tributary
streamflow, and storages, and the same initial conditions as
these simulations are not for projection but rather to gain a
deeper understanding of dynamics in the socio-hydrological
system. y
y
p
q
y (
)
The model validation period was 12 years from 2006–
2017 (Fig. 6a–d). Compared to calibration results, model val-
idation presented slightly better results in terms of RMSE
and PBIAS (Table 4). The simulated behavior of the reser-
voir level in Canada and the United States during calibra-
tion and validation is quite similar (Fig. 6a and b). In Cana-
dian reservoirs, the model accurately simulates the maximum
peaks, but the simulated low reservoir level is higher than
the observed (Figs. 5a and 6a). Meanwhile, for the US reser-
voirs, the simulated lower reservoir level is lower than ob-
served (Figs. 5b and 6b). It is to be noted that the actual op-
erating rules for these dams are dynamic, based on seasonal
changes and weather forecasts. In practice, they may change
suddenly from the predetermined plan given unforeseen cir-
cumstances. Therefore, it is impossible to capture the exact
behavior in a lumped model of this kind. The validation re-
sult for Grand Coulee inflow (Fig. 6c) and hydropower bene-
fit for the United States (Fig. 6d) showed similar performance
as the calibration period with the ability to simulate accurate
model outputs. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4.1
System dynamics model parameterization and
testing Stock and flow variables
Metric
Calibration
Validation
Storage Canada
RMSE
5317.07 × 106 m3
4069.82 × 106 m3
PBIAS (%)
14.30
6.00
VE
0.82
0.87
rd
0.68
0.81
Storage United States
RMSE
1407.39 × 106 m3
1153.32 × 106 m3
PBIAS (%)
−7.3
−5.60
VE
0.90
0.91
rd
0.78
0.84
Grand Coulee dam (GCL) inflow
RMSE
874.73 m3 s−1
839.71 m3 s−1
PBIAS (%)
−7.50
−8.50
VE
0.76
0.77
rd
0.80
0.85
HP benefit
RMSE
USD 5.77 million
USD 5.65 million
PBIAS (%)
4.5
8.8
VE
–
–
rd
0.71
0.74 Table 4. Calibration (1990–2005) and validation (2006–2017) result. 4907 https://doi.org/10.5194/hess-26-4893-2022 4.2.1
Scenarios based on environmental and
institutional change Figure 7a and b show the utility of monetary benefit and
dynamics of the probability to cooperate for the United
States and Canada during the calibration and validation peri-
ods. This model simulation with calibrated parameters over
1990 to 2017 is also referred to as baseline in the next sec-
tion. The share of benefits that the United States receives
is higher than the benefit in Canada, relatively, despite the
Canadian Entitlement (Fig. 7a). The minimum probabilities
to cooperate for the Canada converge at 0.5 and for the
United States at 0.4, while peak amplitude for cooperation
dynamics is higher for Canada compared to the United States
(Fig. 7b). During each time step, the probability to coopera-
tion changes, as shown in Eqs. (12) and (13). The periodicity
in the probability to cooperation is due to the seasonality in
the streamflow pattern. It is to be noted that for the key deci-
sions regarding the reservoir operations, the peak amplitude
is the deciding criterion. The change in χ represents the higher or lower rate of
change in probability to cooperate. The “χ increases” sce-
nario indicates better institutional capacity that favors coop-
eration to either maintain its highest level or increase in the
magnitude for cooperation. Maintaining the highest level of
the probability to cooperate is most important, which deter-
mines the storage thresholds. Increasing χ helped maintain
the maximum probabilities to cooperate (i.e., CCA and CUS)
and also slightly increase its magnitude (Fig. 8a and b). With
increasing χ, Canada would continuously provide flood con-
trol to the United States as agreed upon in the CRT; hence https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4908
A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs
Figure 6. Validation result 2006–2017 showing (a) Canadian storage, (b) US storage, (c) Grand Coulee inflow, and (d) hydropower benefit
for the United States. Note that sim. – simulated, obs. – observed, full capacity – maximum capacity, CRT FC level – CRT flood protection
target level, and min. level – minimum capacity for the US dams. 4908 Figure 6. 4.2.1
Scenarios based on environmental and
institutional change Validation result 2006–2017 showing (a) Canadian storage, (b) US storage, (c) Grand Coulee inflow, and (d) hydropower benefit
for the United States. Note that sim. – simulated, obs. – observed, full capacity – maximum capacity, CRT FC level – CRT flood protection
target level, and min. level – minimum capacity for the US dams. benefits. It is to be noted that this loss of hydropower pro-
duction affects the United States but has no effect on Cana-
dian benefit because the United States remains obligated to
pay the Canadian Entitlement, even if hydropower produc-
tion is lower. The combined scenario of “χ decreases and
high fish spills” has similar results to the “χ decreases” sce-
nario (Fig. 8a–e), but reduction in monetary benefit is slightly
higher compared to the “χ decreases” and “high fish spills”
scenarios. storage level remains similar to the baseline (Fig. 8c). In
addition, the United States continues its existing operations
to produce maximum hydropower; hence the storage level
in the United States remains the same as in the baseline
(Fig. 8d). With increasing χ, Canada’s and the United States’
benefit continues to be the same as the baseline (Fig. 8e). When χ increases or decreases, the utility benefit that the
United States receives does not change significantly. This is
due to the United States balancing the increased flood dam-
age control, while hydropower production is compromised. The “high fish spills” scenario refers to strict regulation
to protect fish passage along the Columbia River, which has
negative implications for hydropower production. Increasing
fish spills in US dams has no effect on the Canadian prob-
ability to cooperate (CCA) as it does not affect Canadian
dam operation (Fig. 8a). Increasing the fish spills decreases
peak CUS slightly, but the average remained similar to the
baseline (Fig. 8b). This also does not affect the reservoir op-
eration and storage level in the US dams (Fig. 8d), but mon-
etary benefit for the US decreases due to regulation as water
is diverted from the hydropower turbines (Fig. 8f). It could
mean the loss of ∼6000–26 000 MWh worth of hydropower 4.2.2
Scenario analysis in terms of social preferences In addition to the scenarios above, four different scenarios of
social preferences were tested and compared to each other. Figure 9 shows the differences between the expected utility
of cooperation and non-cooperation from each country ac-
cording to different scenarios. Figure 10a–c show the changes in the probability to coop-
eration (CCA and CUS) according to the different configura-
tions of social preferences. As shown in Fig. 10a–c, Canada’s
probability of cooperation is always higher than 0.5 in all sce-
narios because Canada can get higher expected utility when Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 https://doi.org/10.5194/hess-26-4893-2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4909 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs
4909
Figure 7. Change in (a) the utility of monetary benefit and (b) probability to cooperate during calibration and validation period for Canada
and the United States. Note that the lower initial probability to cooperate during 1990 is only due to the warmup period of model simulations. Figure 7. Change in (a) the utility of monetary benefit and (b) probability to cooperate during calibration and validation period for Canada
and the United States. Note that the lower initial probability to cooperate during 1990 is only due to the warmup period of model simulations. it chooses to cooperate, no matter which behavioral types
the two countries possess. This explains why the probabil-
ity to cooperate in Canada is always higher than the United
States in Fig. 10a–c. Conversely, since the expected utility of
cooperation in the United States is always smaller than the
expected utility of non-cooperation in Fig. 9b, the probabil-
ity of cooperation of the United States is always less than
Canada (Fig. 10a–c). cooperate due to the Canadian Entitlement (Fig. 10b). In
Scenario 3, the differences between the expected utility of
cooperation and non-cooperation decrease compared to Sce-
nario 0 if Canada does not care about the counterpart’s pay-
offs and focuses on its own payoffs (Fig. 9a). Cooperation
will decline as Canada is narrowly self-interested in the fair
distribution of material payoffs (Fig. 10c). In terms of coop-
eration, selfishness is worse than jealousy. Comparing Scenario 0 and Scenario 1 from the standpoint
of Canada, we found that there was no difference in the out-
puts between Scenario 0 and Scenario 1 (Fig. 10a). 4.2.2
Scenario analysis in terms of social preferences This
means that a decrease in the guilt coefficient of the United
States does not affect Canadian decision-making on whether
to cooperate or not. However, in Scenario 2, the gap between
the expected utilities with cooperation and without cooper-
ation widens, and Canada is more likely to continue coop-
erating when Canada feels more jealousy (more sensitive
to disadvantageous inequity) (Fig. 9a). From the standpoint
of Canada, it is always economically beneficial to cooper-
ate with the United States because Canada can receive the
entitlement from the United States under the CRT. In other
words, the more unfair the distribution of material benefits
between Canada and the United States, and the greater the
jealousy of Canada, the more Canada will be motivated to From the standpoint of United States, there was no dif-
ference between Scenario 0 and Scenario 2 in terms of out-
puts (Fig. 10b). This implies that a rise in Canada’s jealousy
coefficient has no effect on the decision of United States of
whether to cooperate. Comparing Scenario 0 and Scenario 1,
the difference between expected utilities with and without
cooperation is expanded, but the expected utilities of non-
cooperation are larger than those of cooperation (Fig. 9b). As a result, the United States is less inclined to cooperate in
the future when it feels less guilty (less sensitive to advanta-
geous inequity) (Fig. 10a). In other words, the more material
benefits Canada receives, and the less guilt the United States
has, the more driven the United States will be motivated to
break the treaty. Like Scenario 3, if the United States does
not care about the counterpart’s payoffs and focuses on its
own payoffs, the relative magnitude of expected utility of co- https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4910 ure 8. Quantile–quantile plot of the baseline versus other scenarios (χ decrease, χ increase, high fish spills, and combined χ decrease
d high fish spills) comparing probabilities to cooperate, reservoir storage volumes, and utility of monetary benefits. Figure 8. Quantile–quantile plot of the baseline versus other scenarios (χ decrease, χ increase, high fish spills, and combined χ decrease
and high fish spills) comparing probabilities to cooperate, reservoir storage volumes, and utility of monetary benefits. 4.2.2
Scenario analysis in terms of social preferences United States has zero or negative benefit from the CRT. The
United States has some benefits, but it would not continue to
cooperate because the benefits of not cooperating are greater
than the benefits of cooperating. As environmental concerns
increase, the net benefit of the United States is expected to
decline further because of lower hydropower benefit, so the
United States is less likely to agree with continuation of the
treaty until it is changed to create greater benefits for the
United States from cooperation. operation will decrease. As the guilt of the United States de-
creases, the United States becomes less concerned about a
“fair deal” with Canada and loses the motivation to continue
cooperation. Therefore, the United States can maximize its
profits by halting cooperation (not paying the Canadian En-
titlement) and operating unilaterally. Since Canada gets the entitlement due to the CRT, Canada
is likely to continue cooperating. If the US preference for a
fair distribution of benefits declines during future CRT ne-
gotiations, such as in Scenario 1 and Scenario 3, the United
States is more likely to break the treaty or change its stance
on the Canadian Entitlement. That does not mean that the https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4911 Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs
4911
ure 9. The differences between the expected utility of cooperation and no cooperation from each country according to different scenarios
a) Canada and (b) the United States. Figure 9. The differences between the expected utility of cooperation and no cooperation from each country according to different scenarios
for (a) Canada and (b) the United States. 5
Discussion and conclusion derlying drivers of a successful cooperative regime and the
factors that influence each country’s choice about whether
to cooperate or not. The provisions of the CRT expire in
2024, and negotiations for the next phase of the treaty are
ongoing. There have been many prominent discussions about
what the future of the treaty should look like, including is-
sues related to hydropower generation versus fish and how
to account for spills (Blumm and Deroy, 2019; Harman and
Stewardson, 2005; Leonard et al., 2015; Muckleston, 1990;
Northwest Power and Conservation Council, 2019; United
States Government Accountability Office, 2018). Addition-
ally, both countries perceive imbalances in the benefits that
are received from the CRT relative to what each deserves or
compared to what they perceive the other side’s benefits to be
(Holm, 2017; Stern, 2018). As discussed in Gain et al. (2021)
and Gober and Wheater (2014), the success in treaties or in-
stitutions managing river basins depends not only on the con-
trol of hydrology, but also on consideration of socio-political
dynamics. This study shows that addressing emerging social
and environmental issues are critical to continued coopera- The CRT is regarded as one of the most successful trans-
boundary river agreements. As the upstream and downstream
actors, Canada and the United States have asymmetric ac-
cess to water resources and different positions with regard
to the risk of floods and potential for hydropower produc-
tion. Within the Columbia River basin, Canada is less sus-
ceptible to flood risk relative to the United States, and the
United States has capacity for higher hydropower produc-
tion relative to Canada. The unique feature of the CRT is that
the two countries developed a plan to manage the river as a
unified system and to share the costs and benefits equitably
(Bankes and Cosens, 2012; Shurts and Paisley, 2013). This
collective sharing of risks from flooding and benefit from
hydropower as indicated by Wolf (2007) and Zeitoun et al. (2013) makes the CRT successful among other transbound-
ary river treaties. This study examines the dynamics of coop-
eration and how it is affected by feedback between humans
and natural systems. It is important to understand the un- https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4912 A. https://doi.org/10.5194/hess-26-4893-2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs waterway is. These scenarios represent current and plausible
future socio-political and environmental changes. We found
that institutional capacity (χ) plays an important role in long-
term cooperation (Figs. 8a, b and S17). Stronger environ-
mental regulation for increased fish spills affects the ben-
efit for the United States but not as substantially as when
χ (institutional capacity) decreases. Canada continues to re-
ceive payment through the Canadian Entitlement, even when
the United States is producing less hydropower, something
that is interesting to explore further for future negotiations
of the CRT. Different configurations of social preferences for
the behavioral model of Canada and United States were used
to demonstrate how the probability to cooperate changes. The
expected utility of cooperation as compared to expected util-
ity of non-cooperation is higher for Canada and lower for the
United States (Fig. 9). Thus, the probability to cooperate was
simulated to be higher for Canada. The results show that both
the guilt coefficient of the United States and the jealousy co-
efficient of Canada affect the level of cooperation. For future
CRT negotiations, the ideas considered in this study could
help provide insight into the long-term dynamics of coopera-
tion and the impacts of benefit sharing. For other transbound-
ary rivers, e.g., along Nepal and India, Bangladesh and India,
or India and Pakistan (Ho, 2016; Mirumachi, 2013; Saklani
et al., 2020; Thomas, 2017; Uprety and Salman, 2011), the
jealousy and guilty coefficient between actors and their so-
cial preferences will not be the same as in Columbia River
basin. Similarly, the tipping points for the balance of coop-
eration arising from environmental and social change could
be different, and this warrants future research in other trans-
boundary river basins. Our approach of integrating concept
of behavioral science such as social preferences is suitable,
particularly (and extendable) in cases when reciprocity be-
tween actors is the main driver for cooperation and where
system operates to share benefits equitably while ensuring
the resources are sustainable. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs As mentioned previously, the results of this study can help
inform the renegotiation of the CRT in two ways: (1) the
methods of modeling the hydrological and social systems in
tandem, and using behavioral economics, could be used to
help formulate policies or management priorities, and (2) un-
derstanding of the connection between the share of benefits
received by each side and cooperation can support negoti-
ation discussions to find solutions that would satisfy both
sides. More generally, the model demonstrates that under-
standing the motivations of each country in terms of guilt
and jealousy might provide insight into the factors driving
each country and the thresholds that might influence their
decision about whether to cooperate. We also find that it is of
great importance to maintain institutional strength in support
of cooperation. Unlike the United States and Canada where a non-
cooperative regime or resort to direct conflict is unantici-
pated, even if the benefits are perceived to be severely im-
balanced, there are many other river basins where different
environmental challenges are evolving (UNEP, 2016), and
political tensions are high. Globally, conflicts do arise be-
tween countries that share a water source, with root causes
that extend far beyond the water system (Sadoff and Grey,
2002). However, transboundary rivers support the livelihoods
of millions of people, preserve ecosystems, and provide a vi-
tal resource that needs to be managed sustainably. Using the
methodologies presented in this study and the insights gained
could be applied to other river basins around the world to
help us understand what behaviors and benefits are driving
choices about cooperation. Code and data availability. Data supporting the conclusions in this
paper are publicly available at Environment Canada (2022; https:
//wateroffice.ec.gc.ca/mainmenu/historical_data_index_e.html,
last
access:
1
July
2022),
the
Bonneville
Power
Admin-
istration
(2020;
https://www.bpa.gov/p/Power-Products/
Historical-Streamflow-Data/Pages/Monthly-Data.aspx,
last
access: 1 July 2020), the U.S. Army Corps of Engineers (https:
//www.nwd-wc.usace.army.mil/dd/common/dataquery/www/, last
access: 1 July 2022; USACE, 2022; https://usace.contentdm.oclc. org/digital/collection/p266001coll1/id/3193/, last access: 10 Au-
gust 2022; USACE, 2013), and the United States Geological Survey
(USGS, 2022; https://waterdata.usgs.gov/nwis/uv?14105700, last
access: 1 July 2022). Other processed data are available on request
from the corresponding author (ashres15@asu.edu). This socio-hydrological system dynamics model can be
further improved by considering additional variables related
to climate change, land use change, and water use regime
changes. 5
Discussion and conclusion Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs
e probability to cooperate of each country according to different scenarios: (a) Scenario 1, (b) Scenario 2, and (c) Scenario 3. ng valuable insights for the current renegotiation
common interests and multi layered economic ties The A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tra
e 10. The probability to cooperate of each country according to different scenarios: (a) Scenario 1, (b) Scenario 2, and (c) Scen ure 10. The probability to cooperate of each country according to different scenarios: (a) Scenario 1, (b) Scenario 2, and ( to cooperate of each country according to different scenarios: (a) Scenario 1, (b) Scenario 2, and (c) Scenario 3 Figure 10. The probability to cooperate of each country according to different scenarios: (a) Scenario 1, (b) tion, providing valuable insights for the current renegotiation
process, as well as future treaty negotiations on transbound-
ary waterways similar to the Columbia River. common interests, and multi-layered economic ties. The
socio-hydrological system dynamics model developed for
this study captures the dynamics of cooperation to reflect ex-
ternal perturbations. Explicitly incorporating the probability
to cooperate CCA and CUS (Eqs. 5 and 6) into the model en-
ables exploration of the factors influencing cooperation. This
study further illustrates the utility of simplified lumped mod-
els in understanding complex systems. Natural and social systems evolve over time. Under un-
foreseen and uncertain changes, the balance of these sys-
tems could shift. A subtle social change can be induced
by environmental and hydrological changes, which in turn
lead to further unforeseen changes in hydrologic or physi-
cal systems. For the Columbia River basin, sudden change
in cooperation and deviation from cooperation to conflict
is not anticipated because both countries that have simi-
lar economy and political power and have shared values, This socio-hydrological model presented here further al-
lowed for the exploration of scenarios under environmen-
tal and institutional changes and social preferences, to un-
derstand how robust the cooperation on this transboundary https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 4913 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs The key limitation of this study is the explicit con-
sideration of water use for hydropower production and flood
control only. The study does not consider future projections
of these variables, which would be a possible direction for
future research. Another limitation is the method of estima-
tion of flood damages. We estimated the economic benefits
involving flood damage prevention, which does not include
the monetary benefit of flood control in Canada due to treaty
dams because little information is available in the scientific
literature and official reports, and existing resources indi-
cate significantly less flood damage in Canada relative to
the United States (BC Ministry of Energy and Mines, 2013;
Northwest Power and Conservation Council, 2022). How-
ever, future studies should investigate the magnitude of this
benefit since there are certainly flood risks averted by Cana-
dian storage. Supplement. The supplement related to this article is available on-
line at: https://doi.org/10.5194/hess-26-4893-2022-supplement. Author contributions. AS, FAAS, SP, and CC planned this work as
participants of “Socio-Hydrology Summer Institute on Transbound-
ary Rivers”. AS focused on model development and analysis, FAAS
and AS focused on data collection and data analysis, SP focused on A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4914 formation Processing, vol. 420, edited by: Morais, D. C., Fang, formation Processing, vol. 420, edited by: Morais, D. C., Fang,
L., and Horita, M., Springer, Cham, https://doi.org/10.1007/978-
3-030-77208-6_8, 2021. formation Processing, vol. 420, edited by: Morais, D. C., Fang, behavior economics, and CC focused on review and synthesizing
the Columbia River Treaty. AS, FAAS, SP, and CC conceptualized
the system dynamics framework, FAAS and AS formulated stock
and flow equations, SP formulated cooperation dynamics equations,
and AS, FAAS, and SP formulated hydropower and flood control
benefit equations. CC conducted assessment of past and current is-
sues affecting treaty renegotiation, AS wrote the model script and
performed model testing, scenario analysis, and data visualization,
and SP performed social preference scenario analysis and assess-
ment. AS, FAAS, SP, and CC wrote the manuscript draft, AS re-
vised the manuscript, and MG, DJY, and EMM provided guidance
and funding and reviewed and edited the manuscript. L., and Horita, M., Springer, Cham, https://doi.org/10.1007/978-
3-030-77208-6_8, 2021. L., and Horita, M., Springer, Cham, https://doi.org/10.1007/978-
3-030-77208-6_8, 2021. Bankes, N.: Flood Control Regime of the Columbia River Treaty:
Before and after 2024, Washington Journal of Environmental
Law & Policy, 2, 1–73, 2012. Bankes, N.: The Columbia River Treaty between Canada and the
United States of America–time for change?, in: Water Resource
Management and the Law, edited by: Hollo, E. J., Edward El-
gar Publishing, https://doi.org/10.4337/9781785369834.00019,
2017. Bankes, N. and Cosens, B.: The Future of the Columbia River
Treaty, Program on Water Issues, Munk School of Global Affairs
at the University of Toronto in collaboration with the University
of British Columbia, the University of Idaho and the University
of Calgary, Toronto, Ontario Canada, 2012. Competing interests. The contact author has declared that none of
the authors has any competing interests. BC Hydro: Electricity rates & energy use, https://app.bchydro. com/accounts-billing/rates-energy-use.html (last access: 1 June
2021), 2020. Disclaimer. Publisher’s note: Copernicus Publications remains
neutral with regard to jurisdictional claims in published maps and
institutional affiliations. BC Ministry of Energy and Mines: US Benefits from the Columbia
River Treaty – Past, Present and Future: A Province of British
Columbia
Perspective,
https://engage.gov.bc.ca/app/uploads/
sites/6/2012/07/US-Benefits-from-CRT-June-20-13-2.pdf (last
access: 1 June 2021), 2013. Special issue statement. This article is part of the special issue
“Socio-hydrology and transboundary rivers”. It is not associated
with a conference. Bernauer, T. and Böhmelt, T.: International conflict and coop-
eration over freshwater resources, Nat. Sustain., 3, 350–356,
https://doi.org/10.1038/s41893-020-0479-8, 2020. Blumm, M. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs C. and Deroy, D.: The Fight over Columbia Basin
Salmon Spills and the Future of the Lower Snake River Dams,
Washington Journal of Environmental Law & Policy, 9, 1–26,
2019. Acknowledgements. We acknowledge “Summer Institute on Socio-
hydrology and Transboundary Rivers” held in Yunnan University,
China, in 2019, and Jing Wei for support and feedback. We also
acknowledge our professors – Giuliano Di Baldassarre, Günter
Blöschl, Megan Konar, Amin Elshorbagy, Fuqiang Tian, and Mu-
rugesu Sivapalan – for their feedback we received during and after
the institute. Bonneville Power Administration (BPA): The Columbia River
System Inside Story, BPA, https://www.bpa.gov/-/media/Aep/
power/hydropower-data-studies/columbia_river_inside_story. pdf (last access: 10 August 2022), 2001. Bonneville Power Administration: Columbia Basin salmon and
steelhead: many routes to the ocean, BPA, DOE/BP-4529, https:
//www.bpa.gov/about/newsroom/fact-sheets (last access: 1 July
2019), 2013. Ashish Shrestha was supported by Margaret Garcia’s startup
funds from Arizona State University. Margaret Garcia was sup-
ported by the National Science Foundation grant: Cross-Scale In-
teractions & the Design of Adaptive Reservoir Operations (CMMI-
1913920). Samuel Park and David J. Yu were supported by NSF
CMMI 1913665 and a Purdue Research Foundation (PRF) Grant. Bonneville
Power
Administration:
Historical
Streamflow
Data
(Monthly
Data),
BPA
[data
set],
https://www.bpa. gov/p/Power-Products/Historical-Streamflow-Data/Pages/
Monthly-Data.aspx, last access: 1 July 2020. Bowerman, T. E., Keefer, M. L., and Caudill, C. C.: Ele-
vated
stream
temperature,
origin,
and
individual
size
influence
Chinook
salmon
prespawn
mortality
across
the
Columbia
River
Basin,
Fish. Res.,
237,
105874,
https://doi.org/10.1016/j.fishres.2021.105874, 2021. Financial support. This research has been supported by the Na-
tional Science Foundation (grant nos. CMMI-1913920 and CMMI-
1913665). Caldas, M. M., Sanderson, M. R., Mather, M., Daniels, M. D.,
Bergtold, J. S., Aistrup, J., Heier Stamm, J. L., Haukos, D.,
Douglas-Mankin, K., Sheshukov, A. Y., and Lopez-Carr, D.:
Opinion: Endogenizing culture in sustainability science re-
search and policy, P. Natl. Acad. Sci. USA, 112, 8157–8159,
https://doi.org/10.1073/pnas.1510010112, 2015. Review statement. This paper was edited by Fuqiang Tian and re-
viewed by two anonymous referees. https://doi.org/10.5194/hess-26-4893-2022 https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 References Charness, G. and Rabin, M.: Understanding social preferences with
simple tests, Q. J. Econ., 117, 817–869, 2002. Abraham, A. and Ramachandran, P.: Stable Agreements with Fixed
Payments on Transboundary Flood Prone Rivers, in: Contem-
porary Issues in Group Decision and Negotiation. GDN 2021,
Toronto, ON, Canada, June 6–10. Lecture Notes in Business In- Choshen-Hillel, S. and Yaniv, I.: Agency and the construc-
tion of social preference: Between inequality aversion and https://doi.org/10.5194/hess-26-4893-2022 https://doi.org/10.5194/hess-26-4893-2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4915 prosocial behavior, J. Pers. Soc. Psychol., 101, 1253–1261,
https://doi.org/10.1037/a0024557, 2011. Hirshleifer, J.: Competition, Cooperation, and Conflict in Eco-
nomics and Biology, in: Papers and Proceedings of the Nineti-
eth Annual Meeting of the American Economic Association,
Am. Econ. Rev., 68, 238–243, American Economic Association,
https://www.jstor.org/stable/1816696 (last access: 5 July 2022),
1978. prosocial behavior, J. Pers. Soc. Psychol., 101, 1253–1261,
https://doi.org/10.1037/a0024557, 2011. Cosens, B.: Resilience and law as a theoretical backdrop for natural
resource management: flood management in the Columbia River
basin, Environmental Law, 42, 241, 2012. Dombrowsky, I.: Revisiting the potential for benefit sharing in the
management of trans-boundary rivers, Water Policy, 11, 125–
140, 2009. Ho, S.: “Big brother, little brothers”: Comparing China’s and In-
dia’s transboundary river policies, Water Policy, 18, 32–49,
https://doi.org/10.2166/wp.2016.103, 2016. Environment Canada: Historical HYDAT (Hydrometric Data)
database, https://wateroffice.ec.gc.ca/mainmenu/historical_data_
index_e.html, last access: 1 July 2022. Hofbauer, J. and Sigmund, K.: Evolutionary game dynamics, B. Am. Math. Soc., 40, 479–519, 2003. Espey,
M. and
Towfique,
B.:
International
bilateral
wa-
ter
treaty
formation,
Water
Resour. Res.,
40,
1–8,
https://doi.org/10.1029/2003WR002534, 2004. Holm, C. E.: The Columbia River Treaty: Negotiating between Hy-
dropower and Ecosystem-Based Functions, Willamette L. Rev.,
54, 89, 2017. FAO:
Land
&
Water,
https://www.fao.org/land-water/water/
water-management/transboundary-water-management/en/,
last
access: 19 August 2022. Hyde, J. M.: Columbia River Treaty Past and Future, BPA Hydrovi-
sion, 25 pp., http://www.crt2014-2024review.gov/Files/10Aug_
Hyde_TreatyPastFuture_FinalRev.pdf (last access: 6 June 2021),
2010. Fehr, E. and Fischbacher, U.: Why social preferences matter – The
impact of non-selfish motives on competition, cooperation and
incentives, Econ. J., 112, 1–33, https://doi.org/10.1111/1468-
0297.00027, 2002. Islam, S. and Susskind, L.: Using complexity science and negotia-
tion theory to resolve boundary-crossing water issues, J. Hydrol.,
562,
589–598,
https://doi.org/10.1016/j.jhydrol.2018.04.020,
2018. Fehr, E. and Schmidt, K. M.: A theory of fairness, competition, and
cooperation, Q. J. Econ., 114, 817–868, 1999. Iwasa, Y., Suzuki-Ohno, Y., and Yokomizo, H.: Paradox of nutrient
removal in coupled socioeconomic and ecological dynamics for
lake water pollution, Theor. Ecol., 3, 113–122, 2010. Frey,
B. S. and
Meier,
S.:
Pro-social
behavior
in
a
natural
setting,
J. Econ. Behav. Organ.,
54,
65–88,
https://doi.org/10.1016/j.jebo.2003.10.001, 2004. Jägerskog, A. and Zeitoun, M.: Getting Transboundary Water
Right: Theory and Practice for Effective Cooperation, Re-
port Nr. 25, SIWI, Stockholm, http://environmentportal.in/files/
Transboundary_Waters_with_WWW.pdf (last access: 6 June
2021), 2009. Gain, A. K., Hossain, S., Benson, D., Di Baldassarre, G., Giupponi,
C., and Huq, N.: Social-ecological system approaches for water
resources management, Int. J. Sust. Dev. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs World, 28, 109–124,
2021. Gintis, H., Bowles, S., Boyd, R., and Fehr, E.: Explaining altruistic
behavior in humans, Evol. Hum. Behav., 24, 153–172, 2003. Kameri-Mbote,
P.:
Water,
Conflict
and
Coopera-
tion:
Lessons
from
the
Nile
River
Basin,
World,
https://www.wilsoncenter.org/publication/water-conflict-and-
cooperation-lessons-the-nile-river-basin-no-4
(last
access:
19 August 2022), 2007. Giordano, M., Drieschova, A., Duncan, J. A., Sayama, Y., De Ste-
fano, L., and Wolf, A. T.: A review of the evolution and state of
transboundary freshwater treaties, Int. Environ. Agreem.-P., 14,
245–264, 2014. cooperation-lessons-the-nile-river-basin-no-4
(last
access:
19 August 2022), 2007. Kareiva, P., Marvier, M., and McClure, M.: Recovery and
management
options
for
spring/summer
chinook
salmon
in
the
Columbia
River
Basin,
Science,
290,
977–979,
https://doi.org/10.1126/science.290.5493.977, 2000. Giordano, M. A. and Wolf, A. T.: Sharing waters: Post-Rio inter-
national water management, Nat. Resour Forum, 27, 163–171,
2003. Gober,
P. and
Wheater,
H. S.:
Socio-hydrology
and
the
science–policy interface: a case study of the Saskatchewan
River
basin,
Hydrol. Earth
Syst. Sci.,
18,
1413–1422,
https://doi.org/10.5194/hess-18-1413-2014, 2014. Karpouzoglou, T., Dang Tri, V. P., Ahmed, F., Warner, J., Hoang,
L., Nguyen, T. B., and Dewulf, A.: Unearthing the ripple effects
of power and resilience in large river deltas, Environ. Sci. Policy,
98, 1–10, https://doi.org/10.1016/j.envsci.2019.04.011, 2019. Government of British Columbia: 2019 Community Meetings Sum-
mary Report, https://engage.gov.bc.ca/app/uploads/sites/6/2020/
06/2019-CRT-Community-Meetings-Report_Web.pdf (last ac-
cess: 10 August 2022), 2019. Kertzer, J. D. and Rathbun, B. C.: Fair is Fair: Social Preferences
and reciprocity in international Politics, World Polit., 67, 613–
655, https://doi.org/10.1017/S0043887115000180, 2015. Khan, H. F., Yang, Y. C. E., Xie, H., and Ringler, C.: A coupled
modeling framework for sustainable watershed management in
transboundary river basins, Hydrol. Earth Syst. Sci., 21, 6275–
6288, https://doi.org/10.5194/hess-21-6275-2017, 2017. Grey, D., Sadoff, C., and Connors, G.: Effective cooperation on
transboundary waters: A Practical Perspective. World Bank,
Washington, DC, https://openknowledge.worldbank.org/handle/
10986/24047 (last access: 20 July 2022), 2016. Kliot, N., Shmueli, D., and Shamir, U.: Institutions for man-
agement of transboundary water resources: Their nature,
characteristics and shortcomings, Water Policy, 3, 229–255,
https://doi.org/10.1016/S1366-7017(01)00008-3, 2001. Harman, C. and Stewardson, M.: Optimizing dam release rules to
meet environmental flow targets, River Res. Appl., 21, 113–129,
2005. Koebele, E. A.: When multiple streams make a river: an-
alyzing
collaborative
policymaking
institutions
using
the
multiple
streams
framework,
Policy
Sci.,
54,
609–628,
https://doi.org/10.1007/s11077-021-09425-3, 2021. Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs Dev., 32, 10–
36, 1990. Saklani, U., Shrestha, P. P., Mukherji, A., and Scott, C. A.: Hydro-
energy cooperation in South Asia: Prospects for transboundary
energy and water security, Environ. Sci. Policy, 114, 22–34,
https://doi.org/10.1016/j.envsci.2020.07.013, 2020. Natural Resource Council: Upstream-Salmon and Society in the
Pacific Northwest, National Academy Press, Washington, DC,
https://doi.org/10.17226/4976, 1996. Sanderson, M. R., Bergtold, J. S., Heier Stamm, J. L., Caldas, M. M., and Ramsey, S. M.: Bringing the “social” into sociohydrol-
ogy: Conservation policy support in the Central Great Plains of
Kansas, USA, Water Resour. Res., 53, 6725–6743, 2017. Northwest Power and Conservation Council: 2019 Columbia River
Basin Fish and Wildlife Program Costs Report, https://www. nwcouncil.org/sites/default/files/2020-2.pdf (last access: 15 July
2022), 2019. Scrucca, L.: Package “GA”, https://luca-scr.github.io/GA/ (last ac-
cess: 1 July 2022), 2021. Northwest Power and Conservation Council: Dams: impacts
on salmon and steelhead, https://www.nwcouncil.org/reports/
columbia-river-history/damsimpacts (last access: 10 August
2022), 2020a. Shurts, J. and Paisley, R.: 7. The Columbia River Treaty, in: Wa-
ter without Borders?, edited by: Norman, E. S., Cohen, A., and
Bakker, K., University of Toronto Press, 139–158, ISBN: 978-1-
4426-1237-2, 2013. Northwest
Power
and
Conservation
Council:
Endangered
Species Act, Columbia River salmon and steelhead, and
the
Biological
Opinion,
https://www.nwcouncil.org/reports/
columbia-river-history/EndangeredSpeciesAct
(last
access:
10 August 2022), 2020b. Sivapalan, M. and Blöschl, G.: Time scale interactions and the co-
evolution of humans and water, Water Resour. Res., 51, 6988–
7022, 2015. Sivapalan, M., Savenije, H. H. G., and Blöschl, G.: Socio-
hydrology: A new science of people and water, Hydrol. Process,
26, 1270–1276, https://doi.org/10.1002/hyp.8426, 2012. Northwest Power and Conservation Council: Hydropower, https://
www.nwcouncil.org/reports/columbia-river-history/hydropower
(last access: 10 August 2022), 2020c. Soetaert, K., Petzoldt, T., and Setzer, R. W.: Solving differen-
tial equations in R: Package deSolve, J. Stat. Softw., 33, 1–25,
https://doi.org/10.18637/jss.v033.i09, 2010. Northwest
Power
and
Conservation
Council:
International
Joint
Commission,
https://www.nwcouncil.org/reports/
columbia-river-history/internationaljointcommission
(last
access: 10 August 2022), 2020d. Soetaert, K., Petzoldt, T., Setzer, R. W., Brown, P. N., Byrne, G. D., Hairer, E., Hindmarsh, A. C., Moler, C., Petzold, L. R., Saad,
Y., and Ulrich, C. W.: Package “deSolve”, CRAN [code], http:
//desolve.r-forge.r-project.org/ (last access: 10 August 2022),
2020. Northwest Power and Conservation Council: Floods and flood con-
trol, https://www.nwcouncil.org/reports/columbia-river-history/
floods, last access: 19 August 2022. Song, J. and Whittington, D.: Why have some countries on
international
rivers
been
successful
negotiating
treaties? A
global
perspective,
Water
Resour. Res.,
40,
1–18,
https://doi.org/10.1029/2003WR002536, 2004. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4916 Leonard, N. J., Fritsch, M. A., Ruff, J. D., Fazio, J. F., Harrison, J.,
and Grover, T.: The challenge of managing the Columbia River
Basin for energy and fish, Fisheries. Manag. Ecol., 22, 88–98,
2015. Odom, O. and Wolf, A. T.: Résilience institutionnelle et variabilité
climatique dans les traités internationaux de l’eau: Illustration
avec le Bassin du Fleuve Jourdain, Hydrolog. Sci. J., 56, 703–
710, https://doi.org/10.1080/02626667.2011.574138, 2011. Odom, O. and Wolf, A. T.: Résilience institutionnelle et variabilité
climatique dans les traités internationaux de l’eau: Illustration
avec le Bassin du Fleuve Jourdain, Hydrolog. Sci. J., 56, 703–
710, https://doi.org/10.1080/02626667.2011.574138, 2011. Lower Columbia Estuary Partnership: FACTS ABOUT THE
RIVER, https://www.estuarypartnership.org/learn, last access:
15 July 2022. Pohl, B. and Swain, A.: Leveraging diplomacy for resolving trans-
boundary water problems, in: Water Dipl. action Conting. ap-
proaches to Manag. complex water Probl., edited by: Islam, K. and Madani, K., Anthem Press, 19–34, ISBN: 9781783084937,
2017. Lu, Y., Tian, F., Guo, L., Borzì, I., Patil, R., Wei, J., Liu, D.,
Wei, Y., Yu, D. J., and Sivapalan, M.: Socio-hydrologic mod-
eling of the dynamics of cooperation in the transboundary
Lancang–Mekong River, Hydrol. Earth Syst. Sci., 25, 1883–
1903, https://doi.org/10.5194/hess-25-1883-2021, 2021. Qaddumi,
H.:
Practical
approaches
to
transboundary
water
benefit
sharing,
Overseas
Development
Institute
London,
ISBN 9780850038774, 2008. Madani, K., Zarezadeh, M., and Morid, S.: A new frame-
work for resolving conflicts over transboundary rivers using
bankruptcy methods, Hydrol. Earth Syst. Sci., 18, 3055–3068,
https://doi.org/10.5194/hess-18-3055-2014, 2014. Rawlins,
J.:
Harmonisation
of
transbound-
ary
water
governance:
advance
or
align?,
https://www.africaportal.org/features/harmonisation-
transboundary-water-governance-advance-or-align/
(last
ac-
cess: 7 July 2022), 2019. McCracken, M. and Wolf, A. T.: Updating the Register of Inter-
national River Basins of the world, Int. J. Water Resour. D.,
35, 732–782, https://doi.org/10.1080/07900627.2019.1572497,
2019. Rivera-Torres, M. and Gerlak, A. K.: Evolving together: trans-
boundary water governance in the Colorado River Basin, Int. En-
viron. Agreem.-P., 21, 553–574, 2021. Mirumachi,
N.:
Securitising
shared
waters:
An
analysis
of
the
hydropolitical
context
of
the
Tanakpur
Barrage
project between Nepal and India, Geogr. J., 179, 309–319,
https://doi.org/10.1111/geoj.12029, 2013. Sadoff, C. W. and Grey, D.: Beyond the river: the benefits of coop-
eration on international rivers, Water Policy, 4, 389–403, 2002. Sadoff, C. W. and Grey, D.: Cooperation on international rivers: A
continuum for securing and sharing benefits, Water Int., 30, 420–
427, 2005. Muckleston, K. W.: Salmon vs. hydropower: Striking a balance in
the Pacific Northwest, Environ. Sci. Policy Sustain. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs Henrich, J., Boyd, R., Bowles, S., Camerer, C., Fehr, E., Gintis, H.,
McElreath, R., Alvard, M., Barr, A., and Ensminger, J.: “Eco-
nomic man” in cross-cultural perspective: Behavioral experi-
ments in 15 small-scale societies, Behav. Brain Sci., 28, 795–
815, 2005. https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs 4917 Sopinka, A. and Pitt, L.: The columbia river treaty: Fifty years
after
the
handshake,
Electricity
Journal,
27,
84–94,
https://doi.org/10.1016/j.tej.2014.04.005, 2014. USACE: Columbia River Treaty Detailed Operating Plan For
Canadian Storage, Columbia River Treaty Operating Commit-
tee, U.S. Army Corps of Engineers Digital Library, https://usace. contentdm.oclc.org/digital/collection/p266001coll1/id/3193/
(last access: 10 August 2022), 2013. Stern, C. V: Columbia River Treaty Review, Congressional
Research
Service,
7-5700,
CRS
Report
No. R43287,
https://aquadoc.typepad.com/files/crs_columbia_river_review_
1june2018.pdf (last access: 10 July 2022), 2018. U.S. Energy Information Administration: https://www.eia.gov/ (last
access: 15 July 2020), 2022. Taylon, P. D. and Jonker, L. B.: Evolutionarily stable strategies and
game dynamics, Math. Biosci., 40, 145–156, 1978. USGS: USGS Real-Time Water Data for USGS 14105700
Columbia River at the Dalles, OR, USGS [data set], http://
waterdata.usgs.gov/nwis/uv?14105700, last access: 1 July 2022. Thomas, K. A.: The Ganges water treaty: 20 years of co-
operation, on India’s terms, Water Policy, 19, 724–740,
https://doi.org/10.2166/wp.2017.109, 2017. Warner, J. and Zawahri, N.: Hegemony and asymmetry: Multiple-
chessboard games on transboundary rivers, Int. Environ. Agreem.-P., 12, 215–229, 2012. Trebitz, K. I. and Wulfhorst, J. D.: Relating social networks, eco-
logical health, and reservoir basin governance, River Res. Appl.,
37, 198–208, 2021. White, S. M., Brandy, S., Justice, C., Morinaga, K. A., Naylor,
L., Ruzycki, J., Sedell, E. R., Steele, J., Towne, A., and Web-
ster, J. G.: Progress towards a comprehensive approach for habi-
tat restoration in the Columbia Basin: Case study in the Grande
Ronde River, Fisheries, 46, 229–243, 2021. Troy, T. J., Konar, M., Srinivasan, V., and Thompson, S.: Moving so-
ciohydrology forward: a synthesis across studies, Hydrol. Earth
Syst. Sci., 19, 3667–3679, https://doi.org/10.5194/hess-19-3667-
2015, 2015. Wiebe, K.: The Nile River: Potential for Conflict and Cooperation
in the Face of Water, Nat. Resour. J., 41, 731–754, 2001. UNEP: Transboundary Waters Systems – Status and Trends:
Crosscutting analysis, United Nations Environment Programme
(UNEP), Nairobi, ISBN: 978-92-807-3531-4, 2016. Williams, J. G., Smith, S. G., Zabel, R. W., Muir, W. D., Scheuerell,
M. D., Sandford, B. P., Marsh, D. M., McNatt, R. A., and
Achord, S.: Effects of the federal Columbia River power sys-
tem on salmonid populations, U.S. Dept. Commer., NOAA Tech. Memo. NMFS-NWFSC-63, 150 pp., 2005. UNESCO: Progress on Transboundary Water Cooperation 2018,
ISBN: 978-92-3-100467-4, 2021. United Nations: Transboundary Waters, https://www.unwater.org/
water-facts/transboundary-waters/, last access: 19 August 2022. Wolf,
A. T.:
Shared
waters:
Conflict
and
cooper-
ation,
Annu. Rev. Env. Resour.,
32,
241–269,
https://doi.org/10.1146/annurev.energy.32.041006.101434,
2007. A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs Northwest
Power
Planning
Council:
Compilation
of
in-
formation
on
salmon
and
steelhead
losses
in
the
Columbia
River
Basin,
Northwest
Power
Planning
Council,
https://www.nwcouncil.org/reports/compilation-
information-salmon-and-steelhead-total-run-size-catch-and-
hydropower-related/ (last access: 10 August 2022), 1986. https://doi.org/10.5194/hess-26-4893-2022 https://doi.org/10.5194/hess-26-4893-2022 Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 A. Shrestha et al.: Socio-hydrological modeling of flood control and hydropower tradeoffs United States Government Accountability Office: COLUMBIA
RIVER Additional Federal Actions Would Benefit Restoration
Efforts, GAO-18-561, https://www.gao.gov/assets/gao-18-561. pdf (last access: 1 August 2022), 2018. Yu, W.: Benefit Sharing in International Rivers: Findings from
the Senegal River Basin, the Columbia River Basin, and the
Lesotho Highlands Water Project, World Bank AFTWR Work. Pap., 46456, 1–79, 2008. UN-Water: Good Practices in Transboundary Water Cooperation,
https://www.unwater.org/water-facts/transboundary-waters/
(last access: 1 August 2022), 2015. Uprety, K. and Salman, S. M. A.: Aspects juridiques du partage et
de la gestion des eaux transfrontalières en Asie du Sud: Préven-
tion des conflits et promotion de la coopération, Hydrol. Sci. J., 56, 641–661, https://doi.org/10.1080/02626667.2011.576252,
2011. Zambrano-Bigiarini, M.: hydroGOF: goodness-of-fit functions
for
comparison
of
simulated
and
observed
hydrological
time series, https://cran.r-project.org/web/packages/hydroGOF/
hydroGOF.pdf (last access: 1 August 2022), 2020. Zeitoun, M., Goulden, M., and Tickner, D.: Current and future chal-
lenges facing transboundary river basin management, WIREs
Clim. Change, 4, 331–349, https://doi.org/10.1002/wcc.228,
2013. USACE: COLUMBIA RIVER TREATY FLOOD CONTROL OP-
ERATING PLAN, Hydrologic Engineering Branch, Water Man-
agement Division, 220 NW 8th Ave Portland, OR 97209-
3503, https://www.nwd-wc.usace.army.mil/cafe/forecast/FCOP/
FCOP2003.pdf (last access: 1 July 2022), 2003. USACE: Basin Water Control Data (Dataquery 2.0), Northwest-
ern Division, U.S. Army Corps of Engineers, database, https://
www.nwd-wc.usace.army.mil/dd/common/dataquery/www/, last
access: 1 July 2022. Hydrol. Earth Syst. Sci., 26, 4893–4917, 2022 https://doi.org/10.5194/hess-26-4893-2022
|
https://openalex.org/W2792221206
|
https://research.vu.nl/ws/files/72064392/2.484.pdf
|
English
| null |
Determinants of selective reporting: A taxonomy based on content analysis of a random selection of the literature
|
PloS one
| 2,018
|
cc-by
| 8,343
|
Determinants of selective reporting Determinants of selective reporting
van der Steen, Jenny T; van den Bogert, Cornelis A; van Soest-Poortvliet, Mirjam C;
Fazeli Farsani, Soulmaz; Otten, René H J; Ter Riet, Gerben; Bouter, Lex M Link to publication in VU Research Portal Link to publication in VU Research Portal citation for published version (APA)
van der Steen, J. T., van den Bogert, C. A., van Soest-Poortvliet, M. C., Fazeli Farsani, S., Otten, R. H. J., Ter
Riet, G., & Bouter, L. M. (2018). Determinants of selective reporting: A taxonomy based on content analysis of a
random selection of the literature. PLoS ONE, 13(2), e0188247. Article e0188247. https://doi.org/10.1371/journal.pone.0188247 General rights
Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners
and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. General rights
C
i h
d • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit making activity or commercial gain • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain
f
l di
ib
h
id
if i
h
bli
i
i
h
bli
l • Users may download and print one copy of any publication from the public portal for the purpose of private st
• You may not further distribute the material or use it for any profit-making activity or commercial gain You may not further distribute the material or use it for any profit making activity or comm
• You may freely distribute the URL identifying the publication in the public portal Take down policy
If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately
and investigate your claim. y
this document breaches copyright please contact us providing details, and we will remove access to the work immediate
ur claim down policy
believe that this document breaches copyright please contact us providing details, and we will remove access to the wo
vestigate your claim. E-mail address:
vuresearchportal.ub@vu.nl E-mail address:
vuresearchportal.ub@vu.nl Download date: 24. Oct. 2024 RESEARCH ARTICLE Design Inductive qualitative content analysis of a random selection of the pertinent literature includ-
ing empirical research and theoretical reflections. Data Availability Statement: All relevant data are
within the paper and its Supporting Information
files. Jenny T. van der Steen1,2*, Cornelis A. van den Bogert3, Mirjam C. van Soest-Poortvliet4,
Soulmaz Fazeli Farsani5¤, Rene´ H. J. Otten6, Gerben ter Riet7, Lex M. Bouter8,9 Jenny T. van der Steen1,2*, Cornelis A. van den Bogert3, Mirjam C. van Soest-Poortvliet4,
Soulmaz Fazeli Farsani5¤, Rene´ H. J. Otten6, Gerben ter Riet7, Lex M. Bouter8,9 1 Department of Public Health and Primary Care (PHEG), Leiden University Medical Center (LUMC), Leiden,
the Netherlands, 2 Department of Primary and Community Care, Radboud university medical center,
Nijmegen, the Netherlands, 3 Division of Pharmacoepidemiology & Clinical Pharmacology, Utrecht
University, Utrecht, the Netherlands, 4 Program on Aging, Netherlands Institute of Mental Health and
Addiction (Trimbos-instituut), Utrecht, the Netherlands, 5 Division of Pharmacoepidemiology & Clinical
Pharmacology, Utrecht University, Utrecht, the Netherlands, 6 Medical Library, Vrije Universiteit, Amsterdam,
the Netherlands, 7 Department of General Practice, University of Amsterdam, Academic Medical Center,
Amsterdam, the Netherlands, 8 Department of Epidemiology & Biostatistics, VU University Medical Center,
Amsterdam, the Netherlands, 9 Vrije Universiteit, Faculty of Humanities, Department of Philosophy,
Amsterdam, the Netherlands a1111111111
a1111111111
a1111111111
a1111111111
a1111111111 a1111111111
a1111111111
a1111111111
a1111111111
a1111111111 ¤ Current address: Boehringer Ingelheim GmbH, Ingelheim am Rhein, Germany. ¤ Current address: Boehringer Ingelheim GmbH, Ingelheim am Rhein, Germany. * jtvandersteen@lumc.nl urrent address: Boehringer Ingelheim GmbH, Ingelheim am * jtvandersteen@lumc.nl OPEN ACCESS Citation: van der Steen JT, van den Bogert CA, van
Soest-Poortvliet MC, Fazeli Farsani S, Otten RHJ,
ter Riet G, et al. (2018) Determinants of selective
reporting: A taxonomy based on content analysis
of a random selection of the literature. PLoS ONE
13(2): e0188247. https://doi.org/10.1371/journal. pone.0188247 To develop a taxonomy of determinants of selective reporting in science. Copyright: © 2018 van der Steen et al. This is an
open access article distributed under the terms of
the Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited. Background Selective reporting is wasteful, leads to bias in the published record and harms the credibility
of science. Studies on potential determinants of selective reporting currently lack a shared
taxonomy and a causal framework. Editor: Martin Chalumeau, Universite Paris
Descartes, FRANCE Objective To develop a taxonomy of determinants of selective reporting in science. Determinants of selective reporting: A
taxonomy based on content analysis of a
random selection of the literature Jenny T. van der Steen1,2*, Cornelis A. van den Bogert3, Mirjam C. van Soest-Poortvliet4,
Soulmaz Fazeli Farsani5¤, Rene´ H. J. Otten6, Gerben ter Riet7, Lex M. Bouter8,9 ¤ Current address: Boehringer Ingelheim GmbH, Ingelheim am Rhein, Germany.
* jtvandersteen@lumc.nl Conclusions We designed a taxonomy of putative determinants of selective reporting consisting of 12
categories. The taxonomy may help develop theory about causes of selection bias and
guide policies to prevent selective reporting. Results Saturation was reached after analyzing 64 articles. We identified 497 putative determinants,
of which 145 (29%) were supported by empirical findings. The determinants represented 12
categories (leaving 3% unspecified): focus on preferred findings (36%), poor or overly flexi-
ble research design (22%), high-risk area and its development (8%), dependence upon
sponsors (8%), prejudice (7%), lack of resources including time (3%), doubts about report-
ing being worth the effort (3%), limitations in reporting and editorial practices (3%), academic
publication system hurdles (3%), unfavorable geographical and regulatory environment
(2%), relationship and collaboration issues (2%), and potential harm (0.4%). Competing interests: The authors have declared
that no competing interests exist. Competing interests: The authors have declared
that no competing interests exist. Determinants of selective reporting: A taxonomy from the Dutch Ministry of Health, Welfare and
Sports. The funders had no role in study design,
data collection and analysis, decision to publish, or
preparation of the manuscript. Methods Using search terms for bias and selection combined with terms for reporting and publication,
we systematically searched the PubMed, Embase, PsycINFO and Web of Science data-
bases up to January 8, 2015. Of the 918 articles identified, we screened a 25 percent ran-
dom selection. From eligible articles, we extracted phrases that mentioned putative or
possible determinants of selective reporting, which we used to create meaningful catego-
ries. We stopped when no new categories emerged in the most recently analyzed articles
(saturation). Funding: The design of the study and writing of the
article was funded by a career award for JTS from
the Netherlands Organisation for Scientific
Research (NWO; Innovational Research Incentives
Scheme: Vidi grant number 917.11.339), and
Leiden University Medical Center, Leiden, The
Netherlands. CAvdB was supported by a PhD grant Funding: The design of the study and writing of the
article was funded by a career award for JTS from
the Netherlands Organisation for Scientific Research (NWO; Innovational Research Incentives
Scheme: Vidi grant number 917.11.339), and
Leiden University Medical Center, Leiden, The
Netherlands. CAvdB was supported by a PhD grant 1 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Introduction Complete, accurate and timely reporting of all (study protocol-stipulated) outcomes is essential
for syntheses of research to be valid and as precise as possible [1, 2]. Complete or unselective
reporting refers to both unselective publication of all results of a study as well as unselective or
complete reporting within publications on all planned outcomes [3]. In other words, all planned
outcomes should be reported on within a reasonable time frame (and the exploratory nature of
analyses with any unplanned outcomes should be disclosed). Selective reporting leads to bias if specific results remain unpublished because the decision
to report depends on the nature of the results (e.g., direction or magnitude of the target associ-
ation). Reporting bias is an important threat to the validity of systematic reviews which clini-
cians, researchers, policy makers and citizens rely on. Reporting bias is wasteful, distorts the
aggregate body of scientific evidence, threatens the credibility of science, but it may also result
in suboptimal treatment or even in avoidable harm to, e.g., patients’ health. Therefore, in addi-
tion to validity and efficiency reasons, there is an ethical imperative to report all results includ-
ing those of clinical trials [4, 5]. Journals increasingly require that protocols have been registered before commencing or
completing a study to facilitate the detection of selective reporting and increase transparency,
and there is some evidence that registration of trials is effective [6, 7]. However, around half of
planned outcomes of clinical trials are not reported, and a third to half of registered clinical tri-
als remain unpublished [8–11]. There are numerous reports that suggest that selective publica-
tion is a major problem in the clinical domain, but it is also pervasive in basic and translational
research [12, 13] and in the social sciences [14]. Selective reporting occurs in various other
types of studies and across various designs, e.g., trials with psycho-educational interventions,
and quantitative observational and qualitative studies [11, 15, 16]. So-called “protocol-to-publication” and similar studies point to selective reporting of statisti-
cally significant results [11, 17, 18]. More generally, “preferred findings” are more often reported. Preferred findings are often statistically significant findings. However, there are exceptions such
as in case of studies into adverse effects, or equivalence trials where no difference is preferred. Design, protocol and reporting To develop a taxonomy of putative determinants of selective reporting, we combined princi-
ples of systematic reviews [27] with those of inductive qualitative content analysis [28, 29]. Before analyzing full-texts, we piloted search strategies, we piloted abstract and full-text eligi-
bility criteria and reviewed procedures as detailed in the protocol (S1 File). We developed the
study protocol based on the preferred reporting items for systematic review and meta-analysis
protocols (PRISMA-P) guidelines [30,31] as far as applicable. In this article, we report applica-
ble items from the PRISMA [32] guidelines for systematic review and applicable items from
guidelines for the reporting of qualitative studies [33, 34]. Eligibility criteria We included articles that examined or suggested determinants of selective reporting. We
searched for articles from any academic discipline reporting on studies employing any type of
design based on empirical data, such as intervention studies (with any type of comparator), and
observational studies. Additionally, to cover hypotheses on what drives selective reporting, we
included non-empirical articles such as editorials presenting opinion, theoretical considerations
and anecdotal evidence. To minimize duplication of determinants extracted from articles that
were also selected for inclusion in reviews, we excluded reviews. The outcome, selective report-
ing, comprised non-publication and selective reporting within publications. Our review also
covered the possible consequences of selective reporting, including publication bias and other
types of reporting bias. Introduction As PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 2 / 15 Determinants of selective reporting: A taxonomy a consequence, findings preferred by key stakeholders in the research project at issue are likely
overrepresented in the scientific literature [19]. Research has suggested that financial conflicts of interest may cause selective reporting
(e.g., when studies are sponsored by industry [9, 11, 20, 21]), but non-financial conflicts of
interest probably play an important role too. Causes of publication bias, and of reporting bias
more generally, may relate to decisions taken by researchers and sponsors, and also decisions
by editors [8, 9, 22, 23]. Some have argued that it is human nature to search for positive mes-
sages, which suggests that basically, all scientists are at risk [2, 24]. However, certain persons or
environments may be at increased risk of selective reporting, such as junior researchers [25]
and scientists in more competitive academic environments [26]. Despite numerous studies on selective reporting, there is no accepted taxonomy of its deter-
minants and no explicit causal framework. A recently developed framework of non-publica-
tion [22] attempted to answer the questions “what?” (defining dissemination), “who?”(is to
blame-actor/stakeholder) and “why?” (stakeholders’ motivations). However, it does not pro-
vide a single taxonomy of determinants and its scope was limited to clinical trials. We aimed to develop a taxonomy of putative determinants of selective reporting. We there-
fore addressed the questions of “what are possible determinants of selective reporting?,” and
“how are putative determinants of selective reporting best grouped based on its content?“. Search strategy The search strategy focused on selective reporting to avoid limitation to any preconceived
determinants. We used terms for bias and selection combined with terms for reporting and
publication (S1 File, Box 1), and we pilot tested the search strategy. For reasons of feasibility of identifying determinants with qualitative content analysis (S1
File, Box 1), we retained a 25% random sample of the total of 918 hits after deduplication,
from all databases searched from inception to January 8th 2015 (Fig 1). We used SPSS version
22’s random allocator function “random sample of cases” to randomly select a quarter com-
prising 230 hits. Data collection process Full-text data extractions were performed by pairs of researchers (JTvdS, CAvdB, MCvS-P, SFF,
and GtR). JTvdS, CAvdB and MCvS-P piloted a standardized full-text data extraction spreadsheet
using three empirical and non-empirical articles not included in the random sample. Initially, the
reviewers extracted data independently, but after, for each pair of analysists, the analysis of a few
articles made it clear that determinants were identified consistently, one reviewer extracted data
with verification by another (S1 File, paragraph Data collection process). Data items At the level of the article, we abstracted year of publication, academic discipline and study
design (S1 File, box 2). More than one determinant per article was possible. We assessed
whether evidence of association of a determinant with the outcome was empirical, indicated
an actor (stakeholder), referred to a cause or could possibly be interpreted as a cause (we thus
explicitly assessed the degree of interpretation [35]). We assessed the type and scope of selec-
tive reporting (whether limited to a single medium, e.g., a specific journal) and the nature of
the association between a putative determinant and selective reporting (if there was any associ-
ation, the direction, and strength of association, if applicable). Information sources We searched PubMed, Embase, PsycINFO and Web of Science to cover a wide range of aca-
demic disciplines from inception to January 8th 2015. We limited the search to the English,
French, German and Dutch languages. 3 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Determinants of selective reporting: A taxonomy Selection of articles Titles and abstracts were screened independently against the inclusion criteria by pairs of two
reviewers (JTvdS, CAvdB and MCvS-P). If there was no abstract, we reviewed keywords. We
used the first ten percent of abstracts (23) to test a shared understanding of the inclusion crite-
ria and we discussed discrepant interpretations. Of the other abstracts, we calculated inter-
rater agreement (percentage) of decisions on retrieval as full-text. We evaluated for eligibility
all full-text articles and we calculated inter-rater agreement also for this step. PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Analyses The sample of articles and determinants was summarized using percentages. We used
qualitative iterative and inductive content analysis to group determinants by content and
form categories of determinants [29]. In particular, the reviewers (pair) extracted putative
determinants in the context of the article, and the team subsequently discussed interpreta-
tions and categorization. In the content analysis, we coded putative determinants and
subsumed them under meaningful categories without imposing any prior model. We
considered determinants which were tested even when authors found them unrelated to
selective reporting in the particular study, because different studies often vary in finding
associations with outcomes. A single dataset with putative determinants was created after
discussions on differences of interpretation. 4 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Determinants of selective reporting: A taxonomy Next, two researchers (JTvdS and CAvdB) independently categorized all determinants into
higher-level groupings. This was a non-linear, iterative process as we classified batches of
Records identified through
database searching
(Pubmed n = 721;
Embase n=380;
PsycINFO n=108;
Web of Science n=450)
Screening
Included
Eligibility
Idenficaon
Additional records identified
through other sources
(n = 0)
Records after duplicates removed
(n = 918)
Random sample of records
(n = 918)
Records excluded
(n=688)
Full-text articles
assessed for eligibility
(n = 85)
Full-text articles
excluded, with reasons:
no determinant,
outcome not selective
reporting
Articles eligible for
qualitative synthesis
(n = 127)
Articles included in
qualitative analysis of
categories of selective
reporting, until
saturation
Records screened
(n = 230)
Records excluded
(n=87)
Eligible articles based
on title / abstract (n=58)
Articles not analysed
after having ensured
data saturation
(n = 63)
Fig 1. PRISMA flow diagram of identified and analyzed articles. https://doi.org/10.1371/journal.pone.0188247.g001 Additional records identified
through other sources
(n = 0) Records after duplicates removed
(n = 918) Random sample of records
(n = 918) Records excluded
(n=688) Records excluded
(n=87) Records screened
(n = 230) Full-text articles
excluded, with reasons:
no determinant,
outcome not selective
reporting Full-text articles
assessed for eligibility
(n = 85) Eligible articles based
on title / abstract (n=58) Articles eligible for
qualitative synthesis
(n = 127) Articles not analysed
after having ensured
data saturation
(n = 63) Articles included in
qualitative analysis of
categories of selective
reporting, until
saturation 1. PRISMA flow diagram of identified and analyzed articles. https://doi.org/10.1371/journal.pone.0188247.g001 Next, two researchers (JTvdS and CAvdB) independently categorized all determinants into
higher-level groupings. Analyses This was a non-linear, iterative process as we classified batches of Next, two researchers (JTvdS and CAvdB) independently categorized all determinants into
higher-level groupings. This was a non-linear, iterative process as we classified batches of 5 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Determinants of selective reporting: A taxonomy about 50 determinants followed by discussing all classifications of each batch before moving
on to the next batch. We avoided overlap in categories [35] by adding descriptions (to serve as
definitions) that we developed from the iterative classification of content. In reaching consen-
sus about the categorization we often went back to previous classification work to adapt cate-
gories, or to the full-texts to ensure we understood the context. Thus, we constructed a
structured list of categories of more specific determinants. An initial classification and any
unresolved issues about further classifications were discussed with a third researcher (GtR) to
achieve full consensus. Following the principles of content analyses [9], we counted the num-
ber of determinants per category for descriptive purposes of which categories were more and
which were less prominent in the literature. Saturation. We analyzed content of articles randomly selected from different decades
(< 1980, 1980s, 1990s, 2000–2009, 2010–2015). We concluded analyses when saturation was
reached. Saturated data ensure replicability in categories derived from content analyses, which in
turn verifies and ensures comprehensiveness [35]. Saturation of categories was determined in
two ways. First, during the process of analyzing the batches of determinants we assessed satura-
tion prospectively, during the content analyses, in the usual way for qualitative analyses (i.e., no
new categories emerged in the last analyzed articles). After having analyzed about 50 articles, we
deemed the newly classified determinants not to be essentially different from those already classi-
fied (we could fit them in the categories we had developed), and we assumed saturation. This was
confirmed after having analyzed one more batch of determinants representing 10% of articles (13
of 127). Second, retrospectively, after having analyzed the articles, we verified quantitatively how
many articles had been analyzed when the first determinant of each category emerged. Subgroup analyses. We assessed the extent to which various determinants were based on
empirical studies or (solely) on opinion (as planned and described in the protocol, S1 File). Selection of articles for analyses We identified 918 unique records, and we included 64 records (articles) in the final analysis
(Fig 1). The inter-rater agreement between independent assessors on the need to retrieve the
full-text as assessed for 90% of the records was 72% (150/207; agreement about 143 records,
doubt about 7, no agreement about 57). The initial agreement about eligibility of full-text
assessment was 78% (66/85). All initial disagreements were resolved through discussion. Analyses Further, to avoid inclusion of categories exclusively comprising determinants that were consis-
tently unrelated to outcome, we calculated the proportion of articles that (quantitatively or
qualitatively) reported a non-significant or no association, or an unexpected direction of an
association between a determinant and selective reporting. PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Description of the dataset: Articles and determinants Characteristic
%
n
Year of publication
< 1980
1980s
1990s
2000–2009
2010–2015
2
3
16
44
36
1
2
10
28
23
Academic discipline
Clinical medicine
Biomedicine / Life sciences
Humanities
No specific discipline
75
9
11
5
48
6
7
3
Type of study / study design
Non-empirical (reflective / theoretical)
Observational quantitative, longitudinal
Observational quantitative, cross-sectional
Case description / anecdotal
Simulation / modelling†
Randomized trial‡
Qualitative
Mixed methods (integrated)
Review of reviews
48
27
9
5
5
2
2
2
2
31
17
6
3
3
1
1
1
1 Observational quantitative studies included: comparisons of publications (n = 5), comparison of registry records
with publications (4), of protocols with publications (4), of submitted with accepted papers (4), of abstracts with
publications (4), of public funder database with publications (1) and of industry database with Medline records (1)
† Mathematical simulations of reporting bias, subjective decision-making in peer-review, and the selection process in
publication bias, whether purely hypothetical or with use of empirical data
‡ The RCT assessed the effect of blinded peer-review on reviewers’ and editors’ decisions about manuscript
acceptance [36]. The determinant was prejudice in the peer-review process, and the outcome was non-publication,
considering that the editor’s decision dictates whether the manuscript is published Categories of determinants Table 3 lists the 12 categories that emerged from coding the extracted determinants, along
with descriptions and examples. Focus on preferred findings was the largest category (180 deter-
minants, 36%), which included, for example, significance chasing. This concerned empirical
data in 17% (30/180) of cases, and in 93% (168/180) of cases the original authors postulated
that a focus on preferred findings was positively associated with selective reporting. By con-
trast, the second largest category (109 determinants, 22%), poor or flexible research design, was
based on empirical findings in half of the cases, and the original authors mentioned a positive
association in 57% of cases. The other 10 categories occurred less frequently (8% or less) yet
represented distinct concepts. References to the 64 analyzed articles are provided per category,
as a supplement (S3 File). Description of the dataset: Articles and determinants Of the 64 articles analyzed, 48 (75%) concerned clinical medicine, and 51 (80%) were pub-
lished in 2000 or later (Table 1). Almost half of the articles (31) were non-empirical. The
empirical studies were mostly observational and quantitative; we found one RCT [36]. Of the 64 articles analyzed, 48 (75%) concerned clinical medicine, and 51 (80%) were pub-
lished in 2000 or later (Table 1). Almost half of the articles (31) were non-empirical. The
empirical studies were mostly observational and quantitative; we found one RCT [36]. We extracted 497 determinants from the 64 articles (median 6; range 1 (9 articles) to 22 (3
articles; Table 2; S2 File). Twenty-nine percent (145 determinants) concerned empirical evi-
dence of associations with selective reporting. If an actor (stakeholder) was mentioned (41%,
204 determinants), it was the investigator in about half of cases (110 determinants). In 79% of
cases, an association with selective reporting was found or postulated (all in the hypothesized
or expected direction). We extracted 497 determinants from the 64 articles (median 6; range 1 (9 articles) to 22 (3
articles; Table 2; S2 File). Twenty-nine percent (145 determinants) concerned empirical evi-
dence of associations with selective reporting. If an actor (stakeholder) was mentioned (41%,
204 determinants), it was the investigator in about half of cases (110 determinants). In 79% of
cases, an association with selective reporting was found or postulated (all in the hypothesized
or expected direction). 6 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Determinants of selective reporting: A taxonomy Table 1. Characteristics of the 64 analyzed articles. https://doi.org/10.1371/journal.pone.0188247.t002 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Saturation The first determinant in each category usually emerged after analysis of only a few articles (Fig
2). After having extracted 120 determinants (of 497, 24%) from 14 articles, all categories com-
prised one or more determinants. Assuming that a category emerges upon identification of at
least one or more determinants that are dissimilar from other categories, this indicates that sat-
uration could have been reached earlier, with fewer than the set analyzed articles. 7 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Determinants of selective reporting: A taxonomy Table 2. Characteristics of the determinants (n = 497), outcomes and their associations. Characteristic
% (n)
Evidence of association of determinant with outcome
Empirical
Non-empirical (e.g., from viewpoint, or opinion in discussion
section, or inference from the
literature or theoretical study)
29
(145)
71
(352)
Actor (stakeholder)
involved
investigators or authors
editors or journals
reviewers
sponsors or industry
government
analyst
no actor mentioned
41
(204)
22
(110)
11 (57)
4 (18)
3 (17)
0.2 (1)
0.2 (1)
59
(293)
Interpretation of association (hypothesized, whether confirmed or not) in terms of possible causal
pathways†
Describes a cause
Allows for a single and clear interpretation of cause
Unclear cause or multiple causal interpretations are possible
22
(111)
20 (98)
58
(288)
Type of selective reporting outcome
Non-publication
Selective publication in general
Selective reporting within publication
Reporting bias
Other (delayed publication–which risks e.g., no uptake in reviews)
59
(292)
16 (78)
14 (70)
11 (53)
1 (4)
Scope of selective reporting outcome
Within a single medium (journal or conference)
General
13 (66)
87
(431)
Reported association between determinant and outcome†
Present (confirmed)
No association
79
(393)
21
(104)
Note: the table is based on the pre-planned items for description of 497 determinants abstracted from the 64 articles
Examples: “The company often owns the study database and controls decisions about publication and release of
data” (describes a cause); authors reported “lack of time” as a reason (allows for a single and clear interpretation of
cause– a cause is implicated (lack of time), but that cause itself begs a more detailed explanation (how does the
reporting compete with other duties and why?)); sample size (unclear cause or multiple causal interpretations are
possible– such as with larger sample size more power, more collaborators, more rigorous design, more quality checks
etc.)
†Note that a possible causal interpretation of a determinant under study (a hypothesis) does not necessarily mean
that in each case a causal association with the outcome was actually confirmed in the particular study or in the Empirical Actor (stakeholder)
involved
investigators or authors
editors or journals
reviewers
sponsors or industry
government
analyst
no actor mentioned Note: the table is based on the pre-planned items for description of 497 determinants abstracted from the 64 articles
Examples: “The company often owns the study database and controls decisions about publication and release of
data” (describes a cause); authors reported “lack of time” as a reason (allows for a single and clear interpretation of
cause– a cause is implicated (lack of time), but that cause itself begs a more detailed explanation (how does the
reporting compete with other duties and why?)); sample size (unclear cause or multiple causal interpretations are
possible– such as with larger sample size more power, more collaborators, more rigorous design, more quality checks
etc.) †Note that a possible causal interpretation of a determinant under study (a hypothesis) does not necessarily mean
that in each case a causal association with the outcome was actually confirmed in the particular study or in the
narrative (finding no association was still possible as an empirical result, or a possible causal association could be
denied in a comment) 8 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Determinants of selective reporting: A taxonomy Discussion We developed a taxonomy of putative determinants of selective reporting in science based on
saturated qualitative analyses of a representative sample of the relevant literature. The taxon-
omy clusters determinants in a meaningful way. It consists of 12 mutually exclusive categories
along with descriptions and examples to clarify boundaries and differences between the cate-
gories. The taxonomy should give structure and depth to commonly used expressions such as
significance chasing (placed in the category focus on preferred findings) and conflict of interest
(financial: dependence upon sponsors and relationship or collaboration issues; intellectual: rela-
tionship or collaboration issues and academic publication system hurdles). Two categories, focus on preferred findings and poor or flexible research design, covered over
half of the determinants we found. These related mostly to choices of individual researchers or
teams. The individual or team level was also referred to in six of the 10 other categories (preju-
dice, dependence upon sponsors, lack of resources including time, doubts about reporting being
worth the effort, limitations in reporting and editorial practices, which refers to individual edi-
tors and authors, and relationship and collaboration issues). Four categories referred to the
wider environment. These were the categories of academic publication system hurdles and
potential harm; the other two included determinants that often lack clear direction or hypothe-
sis (e.g., when a range of disciplines or countries are compared based on distributions): high-
risk area and its development, and unfavorable geographic or regulatory environment. Relationships and similarities between categories in view of possible
causality The descriptions clarified boundaries between categories that were conceptually close, such as
high-risk area and its development, and unfavorable geographical and regulatory environment. Both categories represented a wider environment than the research team or institution. The categories of unfavorable geographical and regulatory environment and academic publica-
tion system hurdles were distinct as these included determinants that did not clearly refer to a pos-
sible hypothesis regarding a mechanism or cause of selective reporting (an example is provided
as a Footnote to Table 3). By including these categories, we were able to classify all determinants,
except for 15 that only mentioned a stakeholder (actor) as the source of selective reporting (or the
denied source, such as when an actor is believed not to cause selective reporting, in which case
we recorded no association between determinant and the outcome of selective reporting). We found six described instances of interaction between determinants (effect modifica-
tion). We counted these as classified with the main determinant only. The interactions all
clearly described causes. For example, “Outcomes could be deemed post hoc to have little clini-
cal relevance if they fail to show significant findings and may thus be omitted when accommo-
dating space limitations” [37]. In this case, the interaction between focus on preferred findings
and limitations in reporting and editorial practices was classified under the first. By contrast, we
classified another interaction, between a focus on preferred findings and high-risk area and its
development under the latter as the primary category: “Early in the history of a research
domain results in either direction are important news but [that] later, when the preponderance
of evidence has supported one direction, significant reversals are often more important news
than further replications.” [38]. Determinants of selective reporting: A taxonomy Table 3. Taxonomy of determinants (n = 497) resulting from the inductive qualitative content analyses. Determinant
classification,
category
Description
Examples
% (n in
full
sample)
% empirical
result (n in
category /-per
row)
% any relationship†
(n in category /per
row)
1. Focus on preferred
findings
A focus on finding results that match
preferences, mostly statistically significant
or otherwise positive findings, wishful
thinking and acting
Significance chasing, finding significant
results, larger effect size, suppressing
publication of unfavorable results, not
being intrigued by null findings
36
(180/497)
17
(30/180)
93
(168/180)
2. Poor or flexible
research design
Attributes of study design relating to power
and level of evidence provide much leeway
in how studies are performed and in
interpretation of their results
Not a controlled or blinded study, study
protocol unavailable, small sample size
22
(109/497)
50
(54/109)
57
(62/109)
3. High-risk area and
its development
Area of research or discipline or specialty
including its historical development and
competitiveness, the currently dominant
paradigms and designs, and career
opportunities
Ideological biases in a research field, area
with much epidemiological research versus
clinical or laboratory research (“hard
sciences”), humanities, experimental
analytic methods, “hot” fields, publication
pressure in the specific field
8
(39/497)
31
(12/39)
72
(28/39)
4. Dependence upon
sponsors
Financial conflict of interest resulting in
lack of academic freedom
Requirements and influence of funding
source with financial interests in study
results
8
(38/497)
34
(13/38)
82
(31/38)
5. Prejudice
A conscious or unconscious belief that may
be unfounded, and of which one may or
may not be aware
Prior belief about efficacy of treatment,
author reputation or gender bias in the
phase of review
7
(33/497)
24
(8/33)
82
(27/33)
6. Lack of resources,
including time
Insufficient manpower or finances
Lack of time resulting from excessive
workload, or lack of personnel due to life
events
3
(17/497)
18
(3/17)
100
(17/17)
7. Doubts about
reporting being worth
the effort
Weighing investment of time and means
versus likelihood of gain through
publication
Anticipating disappointment of yet another
rejection or low chances of acceptance of a
manuscript, belief that findings are not
worth the trouble
3
(16/497)
6
(1/16)
100
(16/16)
8. Limitations in
reporting and editorial
practices
Constraints and barriers to the practice of
reporting relevant detail
Journal space restrictions, author writing
skills
3
(14/497)
71
(10/14)
50
(7/14)
9. Related conceptual work on selective reporting The basis of the framework of Bassler et al. [22] comprised 50 highly cited articles published
until 2012 identified in Web of Science, and consensus among 10 experts. Our work represents PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 9 / 15 Academic
publication system
hurdles
Various hurdles to full reporting related to
submission and processing of manuscripts
(other than reporting) including those that
represent an intellectual conflict of interest
Solicited manuscripts, authors indicating
non-preferred reviewers, editor’s rejection
rate
3
(14/497)
36
(5/14)
57
(8/14)
10. Unfavorable
geographical or
regulatory
environment‡
Geographical or regulatory environment
that affects how research is being
performed
Continents under study included North
America, Europe and Asia; few
international collaborations; no
governmental regulation of commercially
sponsored research
2
(12/497)
67
(8/12)
75
(9/12)
11. Relationship and
collaboration issues
Intellectual conflict of interest between
reporting and maintaining good
relationships
Disagreements among co-authors and
between authors and sponsors, sponsors
prefer to work with investigators who share
the sponsor’s position
2
(8/497)
13
(1/8)
100
(8/8)
12. Potential harm
Publishing data can harm individuals
Risk of bioterrorism, or confidentiality
restriction
0.4
(2/497)
0
(0/2)
100
(2/2)
(13) Not specified
Referring to a stakeholder only
Selective publication not caused by editors
3
(15/497)
0
(0/15)
67
(10/15)
Empirical result as described in Table 2, first row
†A
l i
hi
d i
h
d di
i
if
l i
hi
b i
h
h i
d
l i
hi
N
f h h
h i
d
l i
hi
i
i i
l Empirical result as described in Table 2, first row
†Any relationship, and in the expected direction if any relationship was being hypothesized, versus no relationship. None of the hypothesized relationships in empirical
result were found to be in the opposite direction
‡We aimed to consistently include a direction in all category names. However, the work from which we abstracted the determinants for this category was probably less
theory driven (often not providing background or a hypothesis of direction), and more data driven (combining countries in order to attain sufficiently large groups). For example, manuscripts from the US versus all other countries was tested and there were very few manuscripts from other countries. This made it difficult to find a
term that clearly describes direction. We therefore used “unfavorable” without further specification
https://doi.org/10.1371/journal.pone.0188247.t003
PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018
10 / 15 Empirical result as described in Table 2, first row PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 10 / 15 Determinants of selective reporting: A taxonomy Fig 2. Saturation graph. The horizontal axis displays the articles (records) in chronological order of analysis. The vertical axis displays the percentage of the 12
(plus 1 unspecified) determinant categories containing at least one determinant. The labels describe which determinant category appeared for the first time in
which record. Fig 2. Saturation graph. The horizontal axis displays the articles (records) in chronological order of analysis. The vertical axis displays the percentage of the 12
(plus 1 unspecified) determinant categories containing at least one determinant. The labels describe which determinant category appeared for the first time in
which record. https://doi.org/10.1371/journal.pone.0188247.g002 a wider scope of literature. For example, potential harm through bioterrorism was identified
through veterinary medicine literature [39]. Also, Web of Science identified less than half of
the articles in our sample. We included expert views and aggregate understanding, and deter-
minants that may not have been studied well, yet in a different manner: through analyzing edi-
torials, comments, and the full articles including introduction and discussion sections. We
used explicit and transparent inductive qualitative research methods to cover the broad range
of putative determinants in the literature. In contrast, Bassler et al. [22] focused on actors and
motivations, which complements our work to help understand the multi-causality and multi-
ple system pressures on and rewards for individuals and teams. Limitations and strengths The combined quantitative and qualitative approaches including two different ways –prospec-
tively and retrospectively– to check saturation increased the likelihood of having captured all
relevant categories of determinants and served as an internal validation of our approach. How-
ever, the data did not suffice to discern patterns of determinants by academic field or strength 11 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Determinants of selective reporting: A taxonomy of evidence. Our work does not cover all possible single determinants. We do believe that the
framework with categories likely captures the categories that fit with the large majority of
determinants. For example, we did not find lack of a statistician on the team being a putative
determinant, but depending on the hypothesis of how it may relate to selective reporting, it
may fit, for example, with poor or flexible research design or focus on preferred findings, or lack
of resources including time. Further, in our work, discussion to reach consensus was essential
because abstracting possible determinants without a prior framework was not a straightfor-
ward endeavor, as evidenced by modest initial agreement (72% and 78%) about inclusion of
articles in reviewing abstracts and full-text. Not publishing research outcomes is unethical. Our findings, however, raise questions
about possible rare but legitimate reasons to report selectively or to not publish research. Obvi-
ously, potential harm can be considered a legitimate reason, when publication may involve
misuse by e.g., terrorists, or involves breaking confidentiality restrictions. Fatally flawed
research probably should also not be published. However, poor design is preferably prevented
in the first place, the academic reviewing system is in place to improve quality and to prevent
fatally flawed work to be published or to be included in reviews and meta-analyses [40]. Future
guidance may clarify what should be published in such cases. Future studies New research, using various methods, should verify the categories we created. The categories
and their interrelations may clarify causal pathways and inform theory. (Complex) interven-
tions should probably and most fruitfully address several determinant categories. So far, most
empirical work has been performed on poor or flexible research design, but not all findings
refer to clear causes and therefore cannot be used to formulate interventions (such as studies
examining the association of sample size with selective reporting of positive findings). Future
research should also employ qualitative methods to address researchers’ daily decision making
and balancing of interests to better understand causal mechanisms and the multiple factors
involved. The taxonomy may also help plan studies on risk profiling (e.g., research domains in which
flexible designs are commonly used, or where a particular mission prevails) which in turn may
inform efficient policy development on responsible conduct of research. We suggest our work
to promote a constructive debate on causes of reporting bias. It is hoped that it will contribute
to decrease the mostly deleterious phenomenon of selective reporting in modern science. S1 PRISMA Checklist.
(DOC) S1 File. Study protocol dx.doi.org/10.17504/protocols.io.jz3cp8n. (DOCX) S1 File. Study protocol dx.doi.org/10.17504/protocols.io.jz3cp8n. (DOCX) S2 File. Dataset with determinants. S2 File. Dataset with determinants. S2 File. Dataset with determinants. (XLS) Author Contributions Conceptualization: Jenny T. van der Steen, Lex M. Bouter. 12 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Determinants of selective reporting: A taxonomy Formal analysis: Jenny T. van der Steen, Cornelis A. van den Bogert, Gerben ter Riet. Funding acquisition: Jenny T. van der Steen. Investigation: Jenny T. van der Steen, Cornelis A. van den Bogert, Mirjam C. van Soest-
Poortvliet, Soulmaz Fazeli Farsani. Methodology: Jenny T. van der Steen, Cornelis A. van den Bogert, Rene´ H. J. Otten, Gerben
ter Riet, Lex M. Bouter. Project administration: Cornelis A. van den Bogert, Mirjam C. van Soest-Poortvliet, Rene´ H. J. Otten. Supervision: Gerben ter Riet, Lex M. Bouter. Supervision: Gerben ter Riet, Lex M. Bouter. Validation: Jenny T. van der Steen, Cornelis A. van den Bogert, Gerben ter Riet. Visualization: Jenny T. van der Steen, Cornelis A. van den Bogert. Writing – original draft: Jenny T. van der Steen. Writing – original draft: Jenny T. van der Steen. Writing – review & editing: Cornelis A. van den Bogert, Mirjam C. van Soest-Poortvliet, Soul-
maz Fazeli Farsani, Rene´ H. J. Otten, Gerben ter Riet, Lex M. Bouter. PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 References 1. World Medical Association Declaration of Helsinki: ethical principles for medical research involving
human subjects (2013). JAMA. 310(20):2191–4. Epub 2013/10/22. https://doi.org/10.1001/jama.2013. 281053 PMID: 24141714. 2. Dickersin K, Chalmers I. Recognizing, investigating and dealing with incomplete and biased reporting of
clinical research: from Francis Bacon to the WHO. J R Soc Med. 2011; 104(12):532–8. Epub 2011/12/
20. https://doi.org/10.1258/jrsm.2011.11k042 PMID: 22179297; PubMed Central PMCID:
PMC3241511. 3. The COMPare Trials Project. Goldacre B, Drysdale H, Powell-Smith A, et al. www.COMPare-trials.org,
2016. Website last accessed on 13 April 2017. 4. Moorthy VS, Karam G, Vannice KS, Kieny MP. Rationale for WHO’s new position calling for prompt
reporting and public disclosure of interventional clinical trial results. PLoS Med. 2015; 12(4):e1001819. Epub 2015/04/16. https://doi.org/10.1371/journal.pmed.1001819 PMID: 25874642; PubMed Central
PMCID: PMC4396122. 5. Glasziou P, Altman DG, Bossuyt P, Boutron I, Clarke M, Julious S, et al. Reducing waste from incom-
plete or unusable reports of biomedical research. Lancet. 2014; 383(9913):267–76. https://doi.org/10. 1016/S0140-6736(13)62228-X PMID: 24411647. 6. van den Bogert CA, Souverein PC, Brekelmans CT, Janssen SW, Koe¨ter GH, Leufkens HG, et al. Non-
publication is common among phase 1, single-center, not prospectively registered, or early terminated
clinical drug trials. PLoS One. 2016; 11(12):e0167709. https://doi.org/10.1371/journal.pone.0167709
PMID: 27973571. 7. Chan AW, Pello A, Kitchen J, Axentiev A, Virtanen JI, Liu A, et al. Association of trial registration with
reporting of primary outcomes in protocols and publications. JAMA. 2017 September 11, epublished. https://doi.org/10.1001/jama.2017.13001 PMID: 28892118. 8. Chalmers I, Glasziou P. Avoidable waste in the production and reporting of research evidence. Lancet. 2009; 374(9683):86–9. Epub 2009/06/16. https://doi.org/10.1016/S0140-6736(09)60329-9 PMID:
19525005. 9. Jones CW, Handler L, Crowell KE, Keil LG, Weaver MA, Platts-Mills TF. Non-publication of large ran-
domized clinical trials: cross sectional analysis. BMJ. 2013; 347:f6104. Epub 2013/10/31. https://doi. org/10.1136/bmj.f6104 PMID: 24169943; PubMed Central PMCID: PMC3812466. 10. Ross JS, Mulvey GK, Hines EM, Nissen SE, Krumholz HM. Trial publication after registration in Clinical-
Trials.Gov: a cross-sectional analysis. PLoS Med. 2009; 6(9):e1000144. Epub 2009/11/11. https://doi. org/10.1371/journal.pmed.1000144 PMID: 19901971; PubMed Central PMCID: PMC2728480. 13 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Determinants of selective reporting: A taxonomy 11. Song F, Parekh S, Hooper L, Loke YK, Ryder J, Sutton AJ, et al. Dissemination and publication of
research findings: an updated review of related biases. Health Technol Assess. 2010; 14(8):iii, ix-xi,
1–193. Epub 2010/02/26. https://doi.org/10.3310/hta14080 PMID: 20181324. 12. Macleod MR, Lawson McLean A, Kyriakopoulou A, Serghiou S, de Wilde A, Sherratt N, et al. References Risk of
Bias in Reports of In Vivo Research: A Focus for Improvement. PLoS Biol. 2015; 13(10):e1002273. Epub 2015/10/16. https://doi.org/10.1371/journal.pbio.1002273 PMID: 26460723; PubMed Central
PMCID: PMC4603955. 13. Sena ES, van der Worp HB, Bath PM, Howells DW, Macleod MR. Publication bias in reports of animal
stroke studies leads to major overstatement of efficacy. PLoS Biol. 2010; 8(3):e1000344. Epub 2010/
04/03. https://doi.org/10.1371/journal.pbio.1000344 PMID: 20361022; PubMed Central PMCID:
PMC2846857. 14. Sterling TD. Publication decisions and Their Possible Effects on Inferences Drawn from Tests of Signifi-
cance—Or Vice Versa. Journal of the American Statistical Association. 1959; 54, No. 285 (Mar. 1959):30–4. https://doi.org/10.2307/2282137 15. Decullier E, Lheritier V, Chapuis F. Fate of biomedical research protocols and publication bias in
France: retrospective cohort study. BMJ. 2005; 331(7507):19. Epub 2005/06/22. https://doi.org/10. 1136/bmj.38488.385995.8F PMID: 15967761; PubMed Central PMCID: PMC558532. 16. Petticrew M, Egan M, Thomson H, Hamilton V, Kunkler R, Roberts H. Publication bias in qualitative
research: what becomes of qualitative research presented at conferences? J Epidemiol Community
Health. 2008; 62(6):552–4. Epub 2008/05/15. https://doi.org/10.1136/jech.2006.059394 PMID:
18477755. 17. Cooper H, DeNeve K, Charlton K. Finding the missing science: The fate of studies submitted for review
by a human subjects committee. Psychol Methods. 1997; 2(4):447–52. PubMed PMID: WOS:
A1997YK36000008. 18. Hopewell S, Loudon K, Clarke MJ, Oxman AD, Dickersin K. Publication bias in clinical trials due to sta-
tistical significance or direction of trial results. Cochrane Database Syst Rev. 2009;(1):MR000006. Epub 2009/01/23. https://doi.org/10.1002/14651858.MR000006.pub3 PMID: 19160345. 19. Ioannidis JP. Why most published research findings are false. PLoS Med. 2005; 2(8):e124. Epub 2005/
08/03. https://doi.org/10.1371/journal.pmed.0020124 PMID: 16060722; PubMed Central PMCID:
PMC1182327. 20. Lundh A, Lexchin J, Mintzes B, Schroll JB, Bero L. Industry sponsorship and research outcome. Cochrane Database Syst Rev. 2017; 2:MR000033. Epub 2017/02/17. https://doi.org/10.1002/
14651858.MR000033.pub3 PMID: 28207928. 21. McGauran N, Wieseler B, Kreis J, Schuler YB, Kolsch H, Kaiser T. Reporting bias in medical research
—a narrative review. Trials. 2010; 11:37. Epub 2010/04/15. https://doi.org/10.1186/1745-6215-11-37
PMID: 20388211; PubMed Central PMCID: PMC2867979. 22. Bassler D, Mueller KF, Briel M, Kleijnen J, Marusic A, Wager E, et al. Bias in dissemination of clinical
research findings: structured OPEN framework of what, who and why, based on literature review and
expert consensus. BMJ Open. 2016; 6(1):e010024. Epub 2016/01/24. https://doi.org/10.1136/
bmjopen-2015-010024 PMID: 26801469; PubMed Central PMCID: PMC4735132. 23. Greenland S. Accounting for uncertainty about investigator bias: disclosure is informative. J Epidemiol
Community Health. 2009; 63(8):593–8. Epub 2009/07/15. https://doi.org/10.1136/jech.2008.084913
PMID: 19596837. 24. Dunkelberg S. PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 References Further information on publication bias. Zeitschrift fur Allgemeinmedizin. 2005; 81
(4):145–6. 25. Martinson BC, Anderson MS, Crain AL, de Vries R. Scientists’ perceptions of organizational justice and
self-reported misbehaviors. J Empir Res Hum Res Ethics. 2006; 1(1):51–66. Epub 2006/07/01. https://
doi.org/10.1525/jer.2006.1.1.51 PMID: 16810337; PubMed Central PMCID: PMC1483900. 26. Fanelli D. Do pressures to publish increase scientists’ bias? An empirical support from US States Data. PLoS One. 2010; 5(4):e10271. Epub 2010/04/28. https://doi.org/10.1371/journal.pone.0010271 PMID:
20422014; PubMed Central PMCID: PMC2858206. 27. Centre for Reviews and Dissemination. Systematic Reviews. CRD’s guidance for undertaking reviews
in health care. 2009 ( third edition) University of York. 28. Greenhalgh T, Taylor R. Papers that go beyond numbers (qualitative research). BMJ. 1997; 315
(7110):740–3. Epub 1997/10/07. PMID: 9314762; PubMed Central PMCID: PMC2127518. 29. Vaismoradi M, Turunen H, Bondas T. Content analysis and thematic analysis: Implications for conduct-
ing a qualitative descriptive study. Nurs Health Sci. 2013; 15(3):398–405. Epub 2013/03/14. https://doi. org/10.1111/nhs.12048 PMID: 23480423. 14 / 15 PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 Determinants of selective reporting: A taxonomy 30. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for
systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015; 4:1. Epub 2015/01/03. https://doi.org/10.1186/2046-4053-4-1 PMID: 25554246; PubMed Central PMCID:
PMC4320440. 31. Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for
systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. 2015; 349:g7647. Epub 2015/01/04. https://doi.org/10.1136/bmj.g7647 PubMed PMID: 25555855. 32. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-
analyses: the PRISMA statement. PLoS Med. 2009; 6(7):e1000097. Epub 2009/07/22. https://doi.org/
10.1371/journal.pmed.1000097 PMID: 19621072; PubMed Central PMCID: PMC2707599. 33. O’Brien BC, Harris IB, Beckman TJ, Reed DA, Cook DA. Standards for reporting qualitative research: a
synthesis of recommendations. Acad Med. 2014; 89(9):1245–51. Epub 2014/07/01. https://doi.org/10. 1097/ACM.0000000000000388 PMID: 24979285. 34. Tong A, Flemming K, McInnes E, Oliver S, Craig J. Enhancing transparency in reporting the synthesis
of qualitative research: ENTREQ. BMC Med Res Methodol. 2012; 12:181. Epub 2012/11/29. https://doi. org/10.1186/1471-2288-12-181 PMID: 23185978; PubMed Central PMCID: PMC3552766. 35. Elo S, Kaariainen M, Kanste O, Polkki T, Utriainen K, Kyngas H. Qualitative Content Analysis: A Focus
on Trustworthiness. SAGE Open 2014; 4(1). Epub 2014/01/09. http://dx.doi.org/10.1177/
2158244014522633 36. Fisher M, Friedman SB, Strauss B. The effects of blinding on acceptance of research papers by peer
review. JAMA. PLOS ONE | https://doi.org/10.1371/journal.pone.0188247
February 5, 2018 References 1994; 272(2):143–6. Epub 1994/07/13. PMID: 8015127. 37. Chan AW, Altman DG. Identifying outcome reporting bias in randomised trials on PubMed: review of
publications and survey of authors. BMJ. 2005; 330(7494):753. Epub 2005/02/01. https://doi.org/10. 1136/bmj.38356.424606.8F PMID: 15681569; PubMed Central PMCID: PMC555875. 38. Preston C, Ashby D, Smyth R. Adjusting for publication bias: modelling the selection process. J Eval
Clin Pract. 2004; 10(2):313–22. Epub 2004/06/11. https://doi.org/10.1111/j.1365-2753.2003.00457.x
PMID: 15189397. 39. Gyles C. Is there ever good reason to not publish good science? Can Vet J. 2012; 53(6):587–8. Epub
2012/12/04. PMID: 23204577; PubMed Central PMCID: PMC3354816. 40. Ferguson CJ, Brannick MT. Publication bias in psychological science: prevalence, methods for identify-
ing and controlling, and implications for the use of meta-analyses. Psychol Methods. 2012; 17(1):120–
8. Epub 2011/07/27. https://doi.org/10.1037/a0024445 PMID: 21787082. 15 / 15
|
https://openalex.org/W1835808004
|
https://europepmc.org/articles/pmc4570799?pdf=render
|
English
| null |
Quantification of the Iodine Content of Perigastric Adipose Tissue by Dual-Energy CT: A Novel Method for Preoperative Diagnosis of T4-Stage Gastric Cancer
|
PloS one
| 2,015
|
cc-by
| 7,106
|
RESEARCH ARTICLE Quantification of the Iodine Content of
Perigastric Adipose Tissue by Dual-Energy CT:
A Novel Method for Preoperative Diagnosis
of T4-Stage Gastric Cancer Li Yang1☯, Gaofeng Shi1*, Tao Zhou2☯, Yang Li1, Yong Li2 1 Department of CT, The fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China,
2 Department of surgery, The fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province,
China ☯These authors contributed equally to this work. * yangli8008@hotmail.com Editor: Qing-Yi Wei, Duke Cancer Institute, UNITED
STATES Editor: Qing-Yi Wei, Duke Cancer Institute, UNITED
STATES Received: February 9, 2015
Accepted: August 10, 2015
Published: September 15, 2015 Published: September 15, 2015 Copyright: © 2015 Yang et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any
medium, provided the original author and source are
credited. Data Availability Statement: All relevant data are
within the paper and its Supporting Information files. Abstract This study investigated the utility of quantifying iodine concentration (IC) in perigastric adi-
pose tissue, using dual-energy computed tomography (DECT), for the detection of T4a-
stage gastric cancer. Fifty-four patients with gastric cancer were enrolled at the Fourth Hos-
pital of Hebei Medical University between January and June 2013. Patients were imaged
preoperatively with conventional computed tomography (CT) scans and DECT, and the IC
in perigastric fat adjacent to the tumor calculated from arterial phase (AP) and portal venous
phase (PVP) images. The patients subsequently received surgical treatment (gastrectomy),
and histologic analysis of resected specimens was used as a ‘gold standard’ reference for
cancer staging. Receiver operating characteristic (ROC) curve analysis was employed to
assess the utility of DECT for identifying T4a-stage gastric cancer, with optimal IC thresh-
olds determined from the area under the ROC curve (AUC). Postoperative histology
revealed that 32 patients had serosal invasion (group A), and 22 did not (group B). The
accuracy of conventional CT for distinguishing stage T4 from non-T4 stages was 68.5%
(37/54). IC was significantly higher in group A than in group B (AP: 0.60±0.34 vs. 0.09±0.19
mg/mL, p<0.001; PVP: 0.83±0.41 vs. 0.27±0.21 mg/mL, p<0.001). The sensitivity, specific-
ity and AUC for detecting serosal invasion were 77.1%, 79.2% and 0.89 at an IC threshold
of 0.25 mg/mL for AP images; and 80.0%, 79.2% and 0.90 at an IC threshold of 0.45 mg/mL
for PVP images. These results indicated that Iodine quantification in perigastric fat using
DECT is an accurate method for detecting serosal invasion by gastric cancer. OPEN ACCESS Citation: Yang L, Shi G, Zhou T, Li Y, Li Y (2015)
Quantification of the Iodine Content of Perigastric
Adipose Tissue by Dual-Energy CT: A Novel Method
for Preoperative Diagnosis of T4-Stage Gastric
Cancer. PLoS ONE 10(9): e0136871. doi:10.1371/
journal.pone.0136871 Introduction Gastric cancer is one of the most frequently diagnosed cancers, and is a leading cause of
cancer-related deaths worldwide [1–3]. The preoperative staging of gastric cancer is widely rec-
ognized as an invaluable aid for determining the optimal therapy and evaluating tumor resect-
ability and patient prognosis [4–6]. The TNM system is commonly used to stage gastric cancer, Funding: These authors have no support or funding
to report. Funding: These authors have no support or funding
to report. Competing Interests: The authors have declared
that no competing interests exist. Competing Interests: The authors have declared
that no competing interests exist. PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 1 / 12 Dual-Energy CT: Iodine Concentration in Gastric Cancer with T4 defined as a tumor that invades the serosa [3]. Accurately differentiating T4a-stage
gastric cancer from T3 or earlier stages is particularly important with regard to preoperative
selection of appropriate treatment strategies, including the requirement for multi-organ sur-
gery [7–9]. Neoadjuvant chemotherapy is strongly recommended for patients with T4 staging
and lymph node metastasis, and may be beneficial to those with T4a stage in down grading the
tumor prior to resection allowing in some cases curative resection [10]. Multi-detector com-
puted tomography (MDCT) is often chosen as the modality for preoperative staging, and has
been shown to have an overall accuracy that approaches 90% [5,7,9]. Nonetheless, preoperative
staging with MDCT can be difficult because the serosal surface is very rough and the adjacent
adipose tissues are generally turbid, so increased density could reflect several different phenom-
enon including tumor invasion and reactive fibrous connective tissue hyperplasia; therefore,
the specificity of MDCT is relatively low. As MDCT does not show complete agreement with
postoperative staging by histologic analysis of surgically resected specimens new approaches
are needed to improve the sensitivity, specificity and accuracy of imaging modalities for the
preoperative staging of gastric cancer. It has been demonstrated that dual-energy CT, including dual-source dual-energy CT
(DECT) is capable of quantifying the iodine concentration (IC) in tissues in vivo. [4] Therefore,
DECT could potentially be used to measure the iodine content of tumor-invaded perigastric
adipose tissue of the lesser and greater omentum, and this may represent a novel approach to
more accurately detect T4a-stage gastric cancer. We hypothesized that quantification of the
iodine concentration in perigastric adipose tissue using DECT could help to distinguish T4a-
stage gastric cancer from earlier stage tumors. Introduction Therefore, the aim of the present study was to
investigate the relationship between the iodine concentration in perigastric fat, measured using
DECT, and T4a-stage gastric cancer, and to determine the sensitivity, specificity and accuracy
of DECT for identifying T4a-stage gastric cancer, using histologic assessment of surgically
resected specimens as the ‘gold standard’ reference for tumor staging. PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 Image acquisition All CT images were acquired with a dual-source dual-energy CT scanner (SOMATOM Defini-
tion Flash; Siemens Healthcare, Germany). Each patient was instructed to fast for at least 6
hours before the CT examination. Ten minutes before scanning, each patient was administered
10 mg anisodamine intramuscularly (to reduce the tension of the gastrointestinal tract), and
drank 800–1000 mL water (to fully expand the stomach). The pre-contrast images were
acquired with a tube voltage of 120 kVp, a tube current of 190 mAs, a collimation of 32 × 1.2
mm, and a pitch of 0.9. Arterial and portal venous phase images were acquired 25 and 70 sec-
onds after the start of the injection of contrast medium. A fixed scan delay was used for the
arterial phase. The dual-energy mode was used for both arterial and portal venous phase imag-
ing, with tube voltages of 100 kVp and 140 kVp with a tin filter, tube currents of 230 and 178
mAs, a collimation of 32 × 0.6 mm for both tubes, a pitch of 0.55, and a gantry rotation time of
0.5s. Non-ionic contrast medium (Iohexol, 300 mg/dL; GE Healthcare, USA) was injected
intravenously at a flow rate of 3 mL/s. The amount of contrast medium injected was calculated
according to the patient weight (2 mL/kg). Patients This was a cross-sectional diagnostic study that enrolled consecutive patients with gastric can-
cer confirmed by endoscopic biopsy, who were referred between January 2013 and June 2013
to the Department of CT, The Fourth Hospital of Hebei Medical University, Shijiazhuang,
China, for preoperative CT scanning to stage the disease and assist with treatment planning. Patients were excluded from the study if: surgical resection of the gastric tumor (gastrectomy)
was carried out more than 1 week after the CT scan; the patient was allergic to contrast
medium; or the patient had T4b stage cancer that was easily diagnosed by CT to have invaded
other organs. All the included patients underwent a three-phase CT scan: pre-contrast single-
energy CT imaging, and contrast-enhanced DECT imaging at arterial and venous phases. Some patients had too thin fat layers for CT imaging and were considered to have technique
failure. Histologic examination of resected specimens was performed in a blinded manner after
surgery, and served as the ‘gold standard’ reference for tumor staging. Two senior radiologists,
who did not know the endoscopic findings or pathological results, were assigned to reconstruct
the merge images during the venous phase (thickness of 1.5 mm, using the B30 algorithm),
analyze their axial views and multi-planar reformation (MPR) images and discuss the tumor
stages. Criteria for tumor staging were based on the TNM staging system for gastric carcinoma
(7th edition) by the American Joint Committee on Cancer [3]. According to the postoperative
pathology results, the included patients were assigned to one of two groups: group A, serosal
invasion (stage T4a); or group B, intact serosa (stage T1–T3). PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 2 / 12 Dual-Energy CT: Iodine Concentration in Gastric Cancer The study was approved by Institutional Ethics Committee of The Fourth Hospital of Hebei
Medical University, and written informed consent was obtained from each patient prior to
inclusion. The study was approved by Institutional Ethics Committee of The Fourth Hospital of Hebei
Medical University, and written informed consent was obtained from each patient prior to
inclusion. PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 Image evaluation To determine the tumor T stage using conventional CT signs, and to compare the sensitivity
and specificity between un-enhanced CT and dual-energy CT two experienced abdominal radi-
ologists evaluated the three-phase images by consensus in a joint session. The definition of
stages T1–T4 followed the 7th edition of the staging manual published by the American Joint
Committee on Cancer in 2010 [11]. The pre-contrast, arterial and venous phase images were reconstructed with a 1.5-mm slice
thickness and a B30 kernel. The arterial and venous phase images were obtained by mixing
high- and low-energy images in a 1:1 ratio, which was the default mixing ratio. These mixed
images were considered as simulated single energy 120 kVp images. Image reading was per-
formed on a commercial workstation (MMWP; Siemens Healthcare, Germany) using trans-
verse, MPR or maximum intensity projection views. Both readers were blinded to the results of
the DECT iodine measurements and histologic investigations. To prepare the image for iodine quantification, high- and low-energy arterial and venous
phase images were reconstructed with a 5-mm slice thickness and a D30 kernel. The iodine
concentration was determined by one radiologist using a commercial dual-energy software
package (Liver VNC; Siemens Healthcare, Germany). The iodine concentration was measured
by selecting a region of interest (ROI) in the perigastric fat adjacent to the tumor (Fig 1). A
strip ROI of 25–50 mm2 and a width 5 mm (considering the range of cancer invasions, we
limited the width of the ROI) of the cancer tissue was selected close to and along the gastric
wall (we kept a 1 mm gap between the cancer tissue and gastric wall, so the latter was not
involved) to measure the adipose iodine concentration in the involved gastric serosa. To obtain
a control value for the iodine concentration in fat, an additional ROI was placed in an area dis-
tant to the tumor, for example at the greater curvature (Fig 1C and 1D). The ROI was 25–50
mm2 circular and positioned so that it was over a homogenous area, and did not overlap with
regions containing tumor or other tissues such as blood vessels. Each measurement was
repeated 3 times, and the average iodine concentration recorded for further analysis. Image evaluation In each
patient, the iodine concentration was measured from both arterial and venous phase images, PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 3 / 12 Dual-Energy CT: Iodine Concentration in Gastric Cancer Fig 1. Representative CT images obtained from a 68 year-old female patient. (A) The mixed venous
phase image shows thickening of the wall of the lesser curvature with transmural enhancement (arrow). Based on the mixed image, the tumor was classified as stage cT3. (B) The histological image, stained with
hematoxylin and eosin (HE, ×100), revealed a grade II adenocarcinoma with invasion of surrounding soft
tissue. The pathologic stage was pT4a. (C) The iodine map image at the arterial phase shows that the iodine
concentration was 0.5 mg/mL in the fat near the tumor (ROI 1), but 0 mg/mL in the fat in a normal region
distant from the tumor (ROI 2). (D) The iodine map image at the venous phase shows that the iodine
concentration was 0.5 mg/mL in the fat near the tumor (ROI 1), but 0 mg/mL in the fat in a normal region
distant from the tumor (ROI 2). This indicates that the serosa was invaded by the tumor. Fig 1. Representative CT images obtained from a 68 year-old female patient. (A) The mixed venous
phase image shows thickening of the wall of the lesser curvature with transmural enhancement (arrow). Based on the mixed image, the tumor was classified as stage cT3. (B) The histological image, stained with
hematoxylin and eosin (HE, ×100), revealed a grade II adenocarcinoma with invasion of surrounding soft
tissue. The pathologic stage was pT4a. (C) The iodine map image at the arterial phase shows that the iodine
concentration was 0.5 mg/mL in the fat near the tumor (ROI 1), but 0 mg/mL in the fat in a normal region
distant from the tumor (ROI 2). (D) The iodine map image at the venous phase shows that the iodine
concentration was 0.5 mg/mL in the fat near the tumor (ROI 1), but 0 mg/mL in the fat in a normal region
distant from the tumor (ROI 2). This indicates that the serosa was invaded by the tumor. doi:10.1371/journal.pone.0136871.g001 doi:10.1371/journal.pone.0136871.g001 using a ROI of the same size, shape and positioned at the same anatomic location. Only the
means were used for statistical analyses. Image evaluation Since gastric peristalses lasted throughout the whole
process and the ROIs were selected manually, we could not guarantee that the ROI selections
during the arterial and venous phases were exactly the same. Therefore, we tried our best to
ensure a similar choice in shape, size and site. Radiation dose The volume CT dose index (CTDIvol) and dose length product (DLP) were recorded from the
CT console for the pre-contrast, arterial and venous phase scans. The effective dose was calcu-
lated by multiplying the DLP by a conversion coefficient for the abdomen (k = 0.015
mSvmGy-1cm-1). Histologic examination of resected tumor All specimens obtained by surgery were embedded in paraffin, stained with hematoxylin and
eosin (HE) using standard techniques, and then sectioned into slices 4 μm thick. Light micros-
copy was used to determine the pathologic type, histologic grade and invasion depth of the
tumor, and the presence/absence of lymph node metastasis. Statistical analysis Statistical analysis was performed using SPSS version 11.5 (SPSS Inc., USA). Comparisons of
the mean iodine concentration between groups A and B were made using the Wilcoxon signed
rank test (the data were not normally distributed). A p-value < 0.05 was considered to be 4 / 12 PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 Dual-Energy CT: Iodine Concentration in Gastric Cancer statistically significant. Receiver operating characteristic (ROC) curve analysis was used to
determine the utility of perigastric fat iodine concentration for diagnosing T4-stage gastric can-
cer. The area under the ROC curve (AUC) was used to determine the optimal threshold iodine
concentration for tumor classification. Sensitivity was calculated as the true positive rate (num-
ber of true positives divided by the sum of the number of true positives and number of false
negatives); specificity as the true negative rate (number of true negatives divided by the sum of
the number of true negatives and number of false positives); and accuracy as the sum of the
number of true positives and true negatives, divided by the total number of positives and
negatives. Patient demographic and clinical characteristics Of the 80 patients initially screened for inclusion in the study, 21 were excluded because sur-
gery was not performed within one week of imaging and pathology results were not available
as a reference. Of these, 5 were unresectable and received chemotherapy, 2 refused any therapy
and 14 accepted neoadjuvant chemotherapy. Neoadjuvant chemotherapy is recommended for
stage T4 tumors in our hospital so those patients who were included with confirmed T4 stage
tumors had opted according to their own judgement to receive early surgery. 5 patients with fat
layers that were too thin for measurement by CT, considered to have technique failure, were
included in the calculation for sensitivity and specificity but not in the ROC curve analysis. The
patients included 1 with T1, 1 with T3 and 3 with T4 stage tumors. Hence, a total of 54 patients
(41 males, 13 females; mean age, 61.6 ± 10.5 years; age range, 31–78 years) were included in all
of the analysis (Table 1) and 59 were included in the sensitivity and specificity analysis. There Table 1. Clinical and demographic characteristics of the 54 patients. Characteristic
Total
Group A
Group B
p value (Group A Vs. Group B)
Gender (no. of patients)
Male
41
23
18
0.401
Female
13
9
4
Age (years)
Mean ± standard deviation
61.6 ± 10.5
62.5±11.2
60.3±10.1
0.071
Anatomic location of gastric carcinoma (no. of patients)
Antrum
17
10
7
0.993
Corpus
16
9
7
Cardia-fundus
11
6
5
Cardia
10
6
4
Surgical treatment (no. of patients)
Radical subtotal gastrectomy
39
19
20
0.011
Radical total gastrectomy
15
13
2
Pathologic type (no. of patients)
Adenocarcinoma
46
24
22
0.010
well differentiated
3
0
3
moderately differentiated
26
11
15
poorly differentiated
17
13
4
Signet ring cell carcinoma
4
4
0
Mucinous adenocarcinoma
3
3
0
Adenocarcinoma combined with mucinous adenocarcinoma
1
1
0
doi:10.1371/journal.pone.0136871.t001 Table 1. Clinical and demographic characteristics of the 54 patients. PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 5 / 12 Dual-Energy CT: Iodine Concentration in Gastric Cancer were no significant differences between groups A and B in terms of age, gender and location
of the gastric carcinoma, but there were significant differences in the surgical treatment
(p = 0.011) and the pathologic type of carcinoma (p = 0.010). The gastric carcinoma was
located in the gastric cardia in 10 patients, cardia-fundus in 11, corpus in 16 and antrum in 17. Tumor staging based on pathology of resected specimens TNM staging, based on post-surgical pathology results, was as follows: 8 patients were classi-
fied as T1, 7 as T2, 7 as T3 and 32 as T4; 24, as N0, 16 as N1, 6 as N2 and 8 as N3; no patients
had distant metastasis. Seven patients were classified as stage IA, 7 as IB, 6 as IIA, 8 as IIB, 14
as IIIA, 4 as IIIB 4, and 8 as IIIC. According to the T-stages, 32 patients were assigned to
Group A, and 22 to group B. Patient demographic and clinical characteristics All patients were treated surgically by radical total gastrectomy (15 patients) or radical subtotal
gastrectomy (39 patients). All patients received D2 lymph node dissection. The pathologic
types of gastric cancer identified in these patients included adenocarcinoma in 46 patients (G1,
well differentiated in 3; G2, moderately differentiated in 26; and G3, poorly differentiated in
17), mucinous adenocarcinoma in 3 patients, signet ring cell carcinoma (SRCC) in 4 patients
and adenocarcinoma combined with mucinous adenocarcinoma in 1 patient. doi:10.1371/journal.pone.0136871.t002 Tumor staging based on conventional CT imaging Based on images acquired using conventional CT scanning, 3 patients were classified as having
cancer of stage T1, 10 as T2, 18 as T3 and 23 as T4 (Table 2, Figs 1 and 2, S1 and S2 Figs). Com-
pared with histologic staging, 22 patients were incorrectly classified into other T stages by con-
ventional CT, including 4 cases of pathologic T3 misclassified by CT as T4, and 13 cases of
pathologic T4 misclassified by CT as T3 or T2. Using the histologic results as the reference, the
T stage was correctly identified in 57.6% (34/59) by evaluation of conventional CT images. Fur-
thermore, the accuracy of conventional CT for distinguishing stage T4 from non-T4 stages was
67.8% (40/59). pathologic T4 misclassified by CT as T3 or T2. Using the histologic results as the reference, the
T stage was correctly identified in 57.6% (34/59) by evaluation of conventional CT images. Fur-
thermore, the accuracy of conventional CT for distinguishing stage T4 from non-T4 stages was
67.8% (40/59). Table 2. T-staging of the gastric cancers using preoperative conventional pre-contrast single-energy CT and dual-energy CT (DECT) compared to
postoperative histology staging. CT stage
DECT stage
Total
Non T4
T4
Non T4
T4
Arterial phase
Histologic stage
Non T4
18
4a
19
3a
22
T4
13b
19
5b
27
32
Total
31
23
24
30
Venous phase
Histologic stage
Non T4
18
4c
19
3c
22
T4
13d
19
4d
28
32
Total
31
23
23
31
The data represents patient numbers a In the arterial phase 3 patients with non T4 histologic stage was wrongly diagnosed as T4 by conventional CT
staging that was corrected by DECT. sing preoperative conventional pre-contrast single-energy CT and dual-energy CT (DECT) compared to Table 2. T-staging of the gastric cancers using preoperative conventional pre-contrast single-energy CT an
postoperative histology staging. Table 2. T-staging of the gastric cancers using preoperative conventional pre-contrast single-energy CT and dual-energy CT (DECT) compared to
postoperative histology staging. b In the arterial phase 10 patients were correctly diagnosed by DECT after a wrong diagnosis by conventional CT. c In the venous phase 2 patients with non T4 histologic stage was wrongly diagnosed as T4 by conventional CT staging that was corrected by DECT. d In the venous phase there were 12 patients correctly diagnosed by DECT after a wrong diagnosis by conventional CT. e correctly diagnosed by DECT after a wrong diagnosis by conventional CT. c In the venous phase 2 patients with non T4 histologic stage was wrongly diagnosed as T4 by conventional CT staging that was corrected by DECT.
d In the venous phase there were 12 patients correctly diagnosed by DECT after a wrong diagnosis by conventional CT. non T4 histologic stage was wrongly diagnosed as T4 by conventional CT staging that was corrected by DECT. patients correctly diagnosed by DECT after a wrong diagnosis by conventional CT. g g
y
b In the arterial phase 10 patients were correctly diagnosed by DECT after a wrong diagnosis by conventional CT. erial phase 10 patients were correctly diagnosed by DECT after a wrong diagnosis by conventional CT. Tumor staging based on conventional CT imaging PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 6 / 12 Dual-Energy CT: Iodine Concentration in Gastric Cancer Fig 2. Representative CT images obtained from a 46 year-old male patient. (A) The mixed venous phase
image depicts thickening of the wall of the antrum with transmural enhancement. The density of the
perigastric fat was elevated, with a stripe-like shadow. The clinical stage was determined to be cT4. (B) The
histological image, stained with hematoxylin and eosin (HE, ×100), revealed a grade II adenocarcinoma with
muscularis invasion. The pathologic stage was pT3. (C) The iodine map at the arterial phase shows that the
iodine concentration was 0.1 mg/mL in the perigastric fat (ROI 1). (D) The iodine map at the venous phase
shows that the iodine concentration was 0.1 mg/mL in the perigastric fat (ROI 1). doi:10.1371/journal.pone.0136871.g002 Fig 2. Representative CT images obtained from a 46 year-old male patient. (A) The mixed venous phase
image depicts thickening of the wall of the antrum with transmural enhancement. The density of the
perigastric fat was elevated, with a stripe-like shadow. The clinical stage was determined to be cT4. (B) The
histological image, stained with hematoxylin and eosin (HE, ×100), revealed a grade II adenocarcinoma with
muscularis invasion. The pathologic stage was pT3. (C) The iodine map at the arterial phase shows that the
iodine concentration was 0.1 mg/mL in the perigastric fat (ROI 1). (D) The iodine map at the venous phase
shows that the iodine concentration was 0.1 mg/mL in the perigastric fat (ROI 1). doi:10.1371/journal.pone.0136871.g002 doi:10.1371/journal.pone.0136871.g002 doi:10.1371/journal.pone.0136871.g002 Radiation dose The CTDIvol, DLP and effective dose were (respectively) 14.00 ± 0.41 mGy, 338.60 ± 80.14 mGy-
cm and 5.08 ± 1.20 mSv for the pre-contrast phase; 12.66 ± 2.90 mGy, 292.87 ± 97.10 mGy-cm
and 4.39 ± 1.46 mSv for the arterial phase; and 12.58 ± 2.70 mGy, 305.10 ± 161.60 mGy-cm and
4.58 ± 2.42 mSv for the venous phase. ROC curve analysis ROC curve analysis of using DECT-derived measurements of perigastric fat iodine concentra-
tion to stage gastric cancer showed that the AUC was 0.89 for arterial phase images and 0.90
for portal venous phase images. For arterial phase images, the optimal threshold iodine concen-
tration (in a ROI near the tumor) for distinguishing between group A and B was 0.25 mg/mL,
and this yielded a sensitivity of 77.1%, a specificity of 79.2%, and an accuracy of 78.0%. For
venous phase images, the optimal threshold value was 0.45 mg/mL, and its use resulted in a
sensitivity of 80.0%, a specificity of 79.2%, and an accuracy of 79.7%. By not considering the 5
(8.5%) patients with technique failure, the sensitivity and specificity can be improved to 84.4%,
86.4% for arterial phase images, and 87.5%, 86.4% for venous phase images, as the cutoff value
was actually calculated without these cases. Even with technique failure the method is still via-
ble for over 90% of patients. Tumor staging based on DECT measurements of iodine concentration As shown in Table 3, the iodine concentration of the fat adjacent to the tumor was significantly
higher in group A than in group B for both arterial phase images (0.60 ± 0.34 mg/mL [range,
0.00–1.30 mg/mL] vs. 0.09 ± 0.19 mg/mL [range, 0.00–0.80 mg/mL]; p < 0.001) and venous
phase images (0.83 ± 0.41 mg/mL [range, 0.00–1.80 mg/mL] vs. 0.27 ± 0.21 mg/mL [range,
0.00–0.90 mg/mL]; p < 0.001). In contrast, there were no significant differences between
groups A and B in the iodine concentration of fat at sites distant from the tumor for both the
arterial phase (0.02 ± 0.07 vs. 0.02 ± 0.04) and venous phase (0.12 ± 0.20 vs. 0.04 ± 0.09). In
group A, there was a significant difference in iodine concentration between fat adjacent to the
tumor and that at distant sites, both for the arterial and venous phases (p < 0.001). In group B,
there was also a significant difference in iodine concentration between fat adjacent to and that Table 3. Iodine concentrations in the perigastric adipose tissue of patients in groups A and B, measured using DECT. Group A (n = 32)
Group B (n = 22)
Near tumor
Distant to tumor
Near tumor
Distant to tumor
Arterial phase
0.60 ± 0.34
0.02 ± 0.07§
0.09 ± 0.19*
0.02 ± 0.04
Venous phase
0.83 ± 0.41
0.12 ± 0.20§
0.27 ± 0.21*
0.04 ± 0.09§
Data are presented as the mean ± SD (mg/mL). Near tumor: iodine concentration measured in a ROI near the tumor; Distant to tumor: iodine
concentration measured in a ROI distant to the tumor. *p < 0.001 compared with the corresponding value in group A
§p < 0.001 compared with the ‘Near tumor’ value for the same phase within the same group. doi:10.1371/journal.pone.0136871.t003 dine concentrations in the perigastric adipose tissue of patients in groups A and B, measured using DECT. erigastric adipose tissue of patients in groups A and B, measured using DECT. Table 3. Iodine concentrations in the perigastric adipose tissue of patients in groups A and B, measu PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 7 / 12 Dual-Energy CT: Iodine Concentration in Gastric Cancer distant from the tumor for the venous phase (p < 0.001), but not for the arterial phase
(p = 0.12). PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 Discussion The present study was designed to investigate the feasibility of using the iodine concentration
in perigastric adipose tissue adjacent to the tumor, measured with DECT, to detect serosal
invasion of gastric cancer. The main findings of the study were that the iodine concentration in
perigastric adipose tissue adjacent to the tumor was significantly higher in the presence of sero-
sal invasion than when the serosa was intact. Using post-surgery histologic findings as a ‘gold
standard’ for staging, ROC curve analysis revealed that the AUC for detecting serosal invasion
was 0.89 and 0.90 for arterial and portal venous phases, respectively. When 0.25 and 0.45 mg/
mL were taken as threshold iodine concentration value for the arterial and portal venous
phases, respectively, the accuracy of DECT for differentiating between T4a-stage and earlier T-
stage gastric cancer was 78.0% and 79.7%, respectively. Taken together, these observations
demonstrate that quantification of iodine in perigastric adipose tissue by DECT represents a
novel and accurate clinical method for distinguishing T4a-stage gastric cancer from earlier T-
stages. To the best of our knowledge, this is the first report demonstrating the utility of this
approach in the staging of gastric cancer. DECT iodine measurements provide a quantitative imaging method for detecting advanced
local gastric cancer. DECT has been used to characterize various tumors, such as lung cancer
nodules [12], insulinoma [13] and adrenal nodules [14]. The present study extended the scope
of DECT to advanced gastric cancer. It was found that invasion of the serosa by gastric cancer
significantly elevated the iodine concentration in the perigastric adipose tissue adjacent to the
tumor. In contrast, adipose tissues without tumor invasion and a normal blood supply showed
undetectable or low iodine levels in the arterial and portal venous phases. The high iodine con-
centration observed in the perigastric adipose tissue of patients with T4a-stage cancer is likely
associated with increased perfusion, possibly caused by tumor invasion or leakage from malig-
nant cell membranes as a result of a breakdown in serosal integrity. 8 / 12 PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 Dual-Energy CT: Iodine Concentration in Gastric Cancer As evidenced by the findings in the present study, DECT provides additional value to con-
ventional single-energy CT in the diagnosis of T4a-stage gastric cancer. Discussion According to the
national comprehensive cancer network (NCCN) clinical practice guidelines for gastric carci-
noma 2010 (Chinese version), preoperative chemotherapy or chemoradiotherapy can be con-
sidered in resectable advanced tumors or those with node metastasis. As it is difficult to make a
confirmed diagnosis in some patients with conventional CT techniques, iodine concentration
imaging may assist with the decision on whether to undertake preoperative adjuvant therapy. When equipped with sub-millimeter thin slicing, single-energy CT can readily depict the serosa
adjacent to the epigastric fat [5,14], and the accuracy of diagnosing T4 gastric cancer is signifi-
cantly improved with the assistance of the MPR technique [5,7,15–17] or virtual gastroscopy
[18]. As the gastric serosa is very thin, we could not observe serosal invasion directly. Conven-
tional MDCT determines whether the gastric serosa is invaded mainly by estimating the den-
sity of adipose tissues at the serosal surface by direct observation; however, the serosal surface
is very rough and the adjacent adipose tissues are generally turbid, thus increased density could
reflect several different phenomenon including tumor invasion and reactive fibrous connective
tissue hyperplasia. Therefore, the specificity of determining serosal invasion by MDCT is rela-
tively low. In addition, for T4a lesions with perigastric microinvasion, even increasing the win-
dow width and window level in conventional MDCT could not clearly determine serosal
invasion. In the present study, all the patients were treated surgically, and preoperative staging
of the lesions was mainly non-T4; however, according to the postoperative pathological results,
12 patients had T4a lesions but were underestimated as T3, and 1 patient had a T4a lesion but
was underestimated as T2. These findings demonstrated the limitations of using MDCT in
evaluating serosal invasion. The results of the present study demonstrate that DECT iodine
quantification represents an accurate method with which to identify T4a-stage gastric cancer,
which is comparable in accuracy, sensitivity and specificity to previous studies using MPR
images [5,7,8,15]. However, identification of all T4a patients by DECT alone was still not possi-
ble. We tested higher sensitivity values of 95% and 100% for the arterial and venous phase, but
the resulting specificities were too low to suggest a viable clinical use for the DECT technique
in isolation. Therefore, this technique may be useful in addition to other methods or further
research may identify methods by which the sensitivity and specificity of the DECT technique
can be improved. PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 Discussion The iodine maps provided by DECT are color maps, which are better for the
color distinguishing ability of humans compared with grayscale images provided by conven-
tional MDCT. In addition, iodine concentration provided by DECT is quantitative data, which
could provide better objective evidence for the diagnosis. Abnormal tumor angiogenesis and
local microcirculation (compared with normal tissues) exist at the regions with cancerous cell
invasion at early stages. DECT could evaluate the microcirculation of the region of interest by
measuring the iodine concentration at the serosal adipose tissues, and thus help determine
serosal invasion. Therefore, the findings of the present study demonstrated that using DECT to
measure iodine concentration could provide more objective and accurate evidence for deter-
mining serosal invasion. In addition to enabling iodine quantification, DECT can improve the
visualization of invading tumor, adjacent structures and neighboring blood vessels through the
use of monochromatic MPR images [13,19], such as those shown in Figs 1C and 2C, without a
radiation dose penalty [20]. Therefore, an advantage of DECT is that it allows the evaluation of
linear or reticular fat stranding signs as well as iodine concentration, which may be useful in
cases of inflammatory reactions. The accuracy of DECT in this study was slightly lower than those studies that used MDCT,
which were estimated to be nearly 90% [5 7 9] However there are many points to consider The accuracy of DECT in this study was slightly lower than those studies that used MDCT,
which were estimated to be nearly 90% [5,7,9]. However, there are many points to consider
when comparing the two methods. The first is the slight alteration in the staging criteria. The
7th TNM staging criteria used here [3], in 2010 increased the requirement of the display of PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 9 / 12 Dual-Energy CT: Iodine Concentration in Gastric Cancer different layers of the gastric wall, and thus increased the difficulty of accurate staging by pre-
operative CT scanning. For instance, tumors with muscular and subserosal invasions were clas-
sified as stage T2 in the 6th criteria, while in the 7th criteria, tumors with muscular invasion
were classified as stage T2, while tumors with subserosal invasion were classified as stage T3;
tumors with serosal invasion were classified as stage T3 or T4 in the 6th criteria but as stage T4
in the 7th criteria. Discussion The use of different staging criteria could decrease the comparability of the
studies. In addition, the different data of these studies could be associated with the differences
in the scanning equipment, examination method (e.g. gastrointestinal preparation before the
examination), clinicians’ experience, and different patient subgroups included. In the present
study, the density of serosal adipose tissues was evaluated by the naked eye (similar to MDCT),
and the accuracy of determining serosal invasion was 68.5%; while for preoperative examina-
tions, iodine concentration was measured by DECT to evaluate serosal invasion, and the accu-
racy was 78.0% (arterial phase) and 79.7% (venous phase), respectively, compared with the
gold standard (pathological examinations). The present study has some limitations. First, only patients with confirmed gastric cancer
were enrolled in our study, which may overestimate the capability of DECT for staging gastric
cancer. Second, the number of patients included was relatively small, so it should be considered
to be a pilot study that merits larger-scale studies to confirm the results. Third, direct compari-
sons with other imaging modalities were not made. Fourth, the utility of iodine quantification
with DECT was examined only for the diagnosis of T4-stage gastric cancer; the ability of DECT
to diagnose earlier stages was not examined and there may be some other factors that will affect
the iodine concentration measurement such as inflammation, metastatic lymph nodes, or peri-
gastric tumor deposits close to the tumor. So the value of this method will have to be evaluated
in further studies involving all of these factors. Finally, some patients were excluded from the
study due to insufficient perigastric fat for measurement of iodine concentration using DECT–
thus, this methodology may not be appropriate for all patients, and this may have introduced
some bias into the study as these patients were not included in the sensitivity and specificity
calculations. Conclusions Quantification of iodine content in perigastric adipose tissue with DECT provides an accurate,
sensitive and specific method for distinguishing gastric cancer with serosal invasion from that
without serosal invasion. Thus, DECT represents a useful clinical tool for preoperatively diag-
nosing T4a-stage gastric cancer. References 1. Catalano V, Labianca R, Beretta GD, Gatta G, de Braud F, Van Cutsem E. Gastric cancer. Crit Rev
Oncol Hematol. 2009; 71: 127–164. doi: 10.1016/j.critrevonc.2009.01.004 PMID: 19230702 2. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011; 61: 69–90. doi: 10.3322/caac.20107 PMID: 21296855 3. Washington K. 7th edition of the AJCC cancer staging manual: stomach. Ann Surg Oncol. 2010; 17:
3077–3079. doi: 10.1245/s10434-010-1362-z PMID: 20882416 4. Allum WH, Blazeby JM, Griffin SM, Cunningham D, Jankowski JA, Wong R. Guidelines for the manage-
ment of oesophageal and gastric cancer. Gut. 2011; 60: 1449–1472. doi: 10.1136/gut.2010.228254
PMID: 21705456 5. Makino T, Fujiwara Y, Takiguchi S, Tsuboyama T, Kim T, Nushijima Y, et al. Preoperative T staging of
gastric cancer by multi-detector row computed tomography. Surgery. 2011; 149: 672–679. doi: 10. 1016/j.surg.2010.12.003 PMID: 21310453 6. Park SR, Kim MJ, Ryu KW, Lee JH, Lee JS, Nam BH, et al. Prognostic value of preoperative clinical
staging assessed by computed tomography in resectable gastric cancer patients: a viewpoint in the era
of preoperative treatment. Ann Surg. 2010; 251: 428–435. doi: 10.1097/SLA.0b013e3181ca69a7
PMID: 20179530 7. Kim YH, Lee KH, Park SH, Kim HH, Hahn S, Park do J, et al. Staging of T3 and T4 gastric carcinoma
with multidetector CT: added value of multiplanar reformations for prediction of adjacent organ invasion. Radiology. 2009; 250: 767–775. doi: 10.1148/radiol.2502071872 PMID: 19095785 8. Yang DM, Kim HC, Jin W, Ryu CW, Kang JH, Park CH, et al. 64 multidetector-row computed tomogra-
phy for preoperative evaluation of gastric cancer: histological correlation. J Comput Assist Tomogr. 2007; 31: 98–103. PMID: 17259840 9. Seevaratnam R, Cardoso R, McGregor C, Lourenco L, Mahar A, Sutradhar R, et al. How useful is pre-
operative imaging for tumor, node, metastasis (TNM) staging of gastric cancer? A meta-analysis. Gas-
tric Cancer. 2012; 15 Suppl 1: S3–18. PMID: 21837458 10. Li MZ, Deng L, Wang JJ, Xiao LB, Wu WH, Yang SB, et al. Surgical outcomes and prognostic factors of
T4 gastric cancer patients without distant metastasis. PLoS One. 2014; 9: e107061. doi: 10.1371/
journal.pone.0107061 PMID: 25211331 11. Edge SB, Byrd DR, Compton CC, Fritz AG, Greene FL, Trotti A (2009) AJCC cancer staging manual. New York, NY: Springer. 648. 12. Schmid-Bindert G, Henzler T, Chu TQ, Meyer M, Nance JW Jr., Schoepf UJ, et al. S1 Data. Raw data.
(XLSX) S1 Fig. Representative CT images obtained from a 63 year-old male patient. A: Venous
phase: cardia wall thickening, with a nontransmural enhanced wall (arrow), preoperative imag-
ing staging: T1. B: Postoperative pathological images, (HE, X40), showed a low differentiated
adenocarcinoma that had infiltrated the mucous layer. Postoperative pathologic staging: pT1. C: arterial phase IC = 0.0 mg/ml. D: venous phase IC = 0.0 mg/ml, indicated no serous inva-
sion. (PDF) S2 Fig. Representative CT images obtained from a 50 year-old female patient. A: Venous
phase: cardia wall thickening, with a nontransmural enhanced wall (arrow), preoperative 10 / 12 PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 Dual-Energy CT: Iodine Concentration in Gastric Cancer imaging staging: T2. B: Postoperative pathological images, (HE, X200), showed a low differen-
tiated adenocarcinoma that had infiltrated the muscle layer. Postoperative pathologic staging:
pT2. C: arterial phase IC = 0.0 mg/ml. D: venous phase IC = 0.0 mg/ml, indicated no serous
invasion. (PDF) Acknowledgments Thanks for Dr. Runze Wu's selfless help of the study design and paper modification. Author Contributions Conceived and designed the experiments: GFS. Performed the experiments: LY GFS TZ Yang
Li Yong Li. Analyzed the data: LY GFS TZ Yang Li Yong Li. Contributed reagents/materials/
analysis tools: GFS. Wrote the paper: LY TZ. Provided the critical revision: GFS LY. All authors
read and approved the final manuscript. PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 References Functional imaging
of lung cancer using dual energy CT: how does iodine related attenuation correlate with standardized
uptake value of 18FDG-PET-CT? Eur Radiol. 2012; 22: 93–103. doi: 10.1007/s00330-011-2230-3
PMID: 21822784 13. Lin XZ, Wu ZY, Tao R, Guo Y, Li JY, Zhang J, et al. Dual energy spectral CT imaging of insulinoma-
Value in preoperative diagnosis compared with conventional multi-detector CT. Eur J Radiol. 2012; 81:
2487–2494. doi: 10.1016/j.ejrad.2011.10.028 PMID: 22153746 11 / 12 PLOS ONE | DOI:10.1371/journal.pone.0136871
September 15, 2015 Dual-Energy CT: Iodine Concentration in Gastric Cancer 14. Ho LM, Marin D, Neville AM, Barnhart HX, Gupta RT, Paulson EK, et al. Characterization of adrenal
nodules with dual-energy CT: can virtual unenhanced attenuation values replace true unenhanced
attenuation values? AJR Am J Roentgenol. 2012; 198: 840–845. doi: 10.2214/AJR.11.7316 PMID:
22451549 14. Ho LM, Marin D, Neville AM, Barnhart HX, Gupta RT, Paulson EK, et al. Characterization of adrenal
nodules with dual-energy CT: can virtual unenhanced attenuation values replace true unenhanced
attenuation values? AJR Am J Roentgenol. 2012; 198: 840–845. doi: 10.2214/AJR.11.7316 PMID:
22451549 15. Kumano S, Murakami T, Kim T, Hori M, Iannaccone R, Nakata S, et al. T staging of gastric cancer: role
of multi-detector row CT. Radiology. 2005; 237: 961–966. PMID: 16251394 16. Hur J, Park MS, Lee JH, Lim JS, Yu JS, Hong YJ, et al. Diagnostic accuracy of multidetector row com-
puted tomography in T- and N staging of gastric cancer with histopathologic correlation. J Comput
Assist Tomogr. 2006; 30: 372–377. PMID: 16778609 17. Kim AY, Kim HJ, Ha HK. Gastric cancer by multidetector row CT: preoperative staging. Abdom Imaging. 2005; 30: 465–472. PMID: 15785907 18. Kim JH, Eun HW, Hong SS, Kim YJ, Han JK, Choi BI. Gastric cancer detection using MDCT compared
with 2D axial CT: diagnostic accuracy of three different reconstruction techniques. Abdom Imaging. 2012; 37: 541–548. doi: 10.1007/s00261-011-9823-9 PMID: 22080389 19. Lv P, Lin XZ, Chen K, Gao J. Spectral CT in patients with small HCC: investigation of image quality and
diagnostic accuracy. Eur Radiol. 2012; 22: 2117–2124. doi: 10.1007/s00330-012-2485-3 PMID:
22618521 20. Bauer RW, Kramer S, Renker M, Schell B, Larson MC, Beeres M, et al. Dose and image quality at CT
pulmonary angiography-comparison of first and second generation dual-energy CT and 64-slice CT. Eur Radiol. 2011; 21: 2139–2147. doi: 10.1007/s00330-011-2162-y PMID: 21614614 12 / 12
|
https://openalex.org/W3009709883
|
https://europepmc.org/articles/pmc7154865?pdf=render
|
English
| null |
High-Level Expression, Purification and Initial Characterization of Recombinant Arabidopsis Histidine Kinase AHK1
|
Plants
| 2,020
|
cc-by
| 15,981
|
Received: 14 January 2020; Accepted: 24 February 2020; Published: 1 March 2020 Abstract: Plants employ a number of phosphorylation cascades in response to a wide range of
environmental stimuli. Previous studies in Arabidopsis and yeast indicate that histidine kinase AHK1
is a positive regulator of drought and osmotic stress responses. Based on these studies AHK1
was proposed a plant osmosensor, although the molecular basis of plant osmosensing still remains
unknown. To understand the molecular role and signaling mechanism of AHK1 in osmotic stress,
we have expressed and purified full-length AHK1 from Arabidopsis in a bacterial host to allow for
studies on the isolated transmembrane receptor. Purification of the recombinant protein solubilized
from the host membranes was achieved in a single step by metal-affinity chromatography. Analysis
of the purified AHK1 by SDS-polyacrylamide gel electrophoresis (SDS-PAGE) and immunoblotting
show a single band indicating that the preparation is highly pure and devoid of contaminants
or degradation products. In addition, gel filtration experiments indicate that the preparation is
homogenous and monodisperse. Finally, CD-spectroscopy, phosphorylation activity, dimerization
studies, and protein–protein interaction with plant phosphorylation targeting AHP2 demonstrate
that the purified protein is functionally folded and acts as phospho-His or phospho-Asp phosphatase. Hence, the expression and purification of recombinant AHK1 reported here provide a basis for further
detailed functional and structural studies of the receptor, which might help to understand plant
osmosensing and osmosignaling on the molecular level. Keywords:
histidine kinase;
osmosensing;
membrane protein purification;
phosphorelay;
protein-protein interaction plants plants High-Level Expression, Purification and Initial
Characterization of Recombinant Arabidopsis
Histidine Kinase AHK1 Alexander Hofmann 1,†
, Sophia Müller 1,†, Thomas Drechsler 2,†
, Mareike Berleth 1,
Katharina Caesar 2, Leander Rohr 2
, Klaus Harter 2
and Georg Groth 1,* Alexander Hofmann 1,†
, Sophia Müller 1,†, Thomas Drechsler 2,†
, Mareike Berleth 1,
Katharina Caesar 2, Leander Rohr 2
, Klaus Harter 2
and Georg Groth 1,* 1
Institute of Biochemical Plant Physiology, Heinrich Heine University, Düsseldorf 40225, Germany;
a.hofmann@hhu.de (A.H.); somue106@uni-duesseldorf.de (S.M.); mareike.berleth@hhu.de (M.B.) 1
Institute of Biochemical Plant Physiology, Heinrich Heine University, Düsseldorf 40225, Germany;
a.hofmann@hhu.de (A.H.); somue106@uni-duesseldorf.de (S.M.); mareike.berleth@hhu.de (M.B.)
2
Center for Plant Molecular Biology (ZMBP), Eberhard Karls Universität Tübingen, Tübingen 72076, 1
Institute of Biochemical Plant Physiology, Heinrich Heine University, Düsseldorf 40225, Germany;
a.hofmann@hhu.de (A.H.); somue106@uni-duesseldorf.de (S.M.); mareike.berleth@hhu.de (M.B.)
2
Center for Plant Molecular Biology (ZMBP), Eberhard Karls Universität Tübingen, Tübingen 72076,
Germany; thomas.drechsler@zmbp.uni-tuebingen.de (T.D.); katharina.caesar@mwk.bwl.de (K.C.);
leander.rohr@zmbp.uni-tuebingen.de (L.R.); klaus.harter@zmbp.uni-tuebingen.de (K.H.)
*
Correspondence: georg groth@hhu de; Tel : +49-211-811-2822 2
Center for Plant Molecular Biology (ZMBP), Eberhard Karls Universität Tübingen, Tübingen 72076,
Germany; thomas.drechsler@zmbp.uni-tuebingen.de (T.D.); katharina.caesar@mwk.bwl.de (K.C.);
leander.rohr@zmbp.uni-tuebingen.de (L.R.); klaus.harter@zmbp.uni-tuebingen.de (K.H.) *
Correspondence: georg.groth@hhu.de; Tel.: +49-211-811-2822 †
These authors contributed equally to this work. 1. Introduction Plants are sessile organisms that have to adapt to fluctuating environmental conditions
during their life cycle. To sense, respond, and adapt to a wide range of environments, stressors,
and growth conditions, plants employ phosphorylation cascades that are already found in their basic
genetic set-up in archaea, bacteria and fungi [1]. However, in contrast to the typical prokaryotic
two-component phosphotransfer systems (TCS) involving a single His-Asp phosphotransfer process
from a soluble or membrane-bound sensor histidine kinase to the receiver domain of a cognate response
regulator protein, plants employ multi-step His-Asp phosphotransfer cascades (phosphorelays) Plants 2020, 9, 304; doi:10.3390/plants9030304 www.mdpi.com/journal/plants www.mdpi.com/journal/plants 2 of 17 Plants 2020, 9, 304 encompassing hybrid-type sensors that carry kinase and receiver domains within the same molecule,
His phosphotransfer proteins, and response regulator proteins [2]. Altogether the genome of Arabidopsis thaliana contains 11 genes encoding histidine kinases
(HK) [3,4]. Sequence analysis suggests that all members of the HK family have a modular basic
structure consisting of an N-terminal transmembrane sensor domain followed by a catalytic transmitter
domain and a receiver domain at the C-terminus. Biochemical, biophysical, and cellular studies show
that the receptors form dimers and higher-molecular-weight oligomers at the membrane in their
functional state [5–11]. Further studies demonstrate that five members of the Arabidopsis HK family
encode receptors sensing the plant hormone ethylene (ETR1, ERS1, ETR2, ERS2, and EIN4) [12–14],
whereas the other six encode non-ethylene receptor kinases (AHK1, AHK2, AHK3, CRE1/AHK4, CKI1,
and CKI2/AHK5). Three of the non-ethylene receptors (AHK2, AHK3, and CRE1) have been identified
as receptors for the plant hormone cytokinin [15–17]. The residual three HK receptors (AHK1, CKI1,
and AHK5) show neither ethylene nor cytokinin-related activity and have been attributed to a variety
of plant processes including osmoregulation [18], megagametogenesis [19], salt sensitivity [20], or
stomatal responses [21], although the molecular trigger or ligand stimulating these activities is not
known for all of these processes yet. While the overall architecture is conserved for all members of the Arabidopsis HK family, some of
them lack histidine kinase activity due to a degenerate catalytic domain (ETR2, ERS2, and EIN4) or miss
a receiver domain at their C-terminus (ERS1 and ERS2). Consequently, these isoforms cannot participate
in a canonical phosphorelay, but may contribute to phosphotransfer to downstream proteins via the
formation of heterodimers with other fully functional members of the Arabidopsis HK family. 1. Introduction Still, the
most striking difference in the architecture of the Arabidopsis HK family is found in their sensor domain. For the ethylene receptor kinases this domain is transmembrane and contains a bound copper cofactor
coordinated by three (ETR1 and ERS1) or four (ETR2, ERS2, and EIN4) transmembrane α-helices,
whereas for the non-ethylene receptor kinases involved in cytokinin signaling the ligand binding
domain (CHASE) is located in a loop connecting their two (AHK4), three (AHK3) or four (AHK2)
transmembrane spans. Similarly, to the AHK4 cytokinin receptor prototype two of the non-plant
hormone receptor HKs also contain two putative transmembrane helices (CKI1 and AHK1) in their
N-terminal sensor domain, whereas sequence analysis of AHK5 indicates no obvious transmembrane
element in this receptor kinase. Although AHK1 has been attributed to osmosensing [18], the molecular
basis of plant osmosensing is still unknown. Biochemical and biophysical studies on purified receptors or their subdomains have substantially
expanded our molecular understanding of ethylene and cytokinin sensing and signaling in the
past [22–27]. Due to their low abundance in their natural host, recombinant production of the related
proteins was a critical prerequisite for these studies. Hence, in order to expand our knowledge
on the putative osmosensor AHK1, we have expressed this non-plant hormone transmembrane
receptor HK in a bacterial system and purified the full-length recombinant protein from the bacterial
host to homogeneity. Functional folding of the purified detergent-solubilized AHK1was verified by
CD-spectroscopy, phosphorylation activity assays, and protein interaction studies with downstream
Arabidopsis histidine-containing phosphotransfer proteins (AHPs). Consequently, the high-level
expression and efficient purification of recombinant Arabidopsis osmosensor histidine kinase AHK1
reported in this work provide a critical milestone for further mechanistic and structural studies on a
plant osmosensor candidate which might help to resolve plant osmoregulation and signaling on the
molecular level. 2.1. Heterologous Expression and Purification of AHK1 Sensor Kinase 2.1. Heterologous Expression and Purification of AHK1 Sensor Kinase In this study we successfully expressed His-tagged recombinant full-length Arabidopsis histidine
kinase AHK1 in the bacterial host E. coli BL21 (DE3). Systematic screening of culture conditions 3 of 17
osCholi
e from Plants 2020, 9, 304
In sub
16 was ide identified a growth temperature of 16 ◦C after induction as the most suitable to obtain sufficient amounts
of the recombinant plant histidine kinase at maximal stability. Further experiments revealed that
translational errors leading to protein aggregation can be minimized by the addition of plasmid pRARE
which provides rare codon tRNAs during bacterial expression. Extra addition of 2% (v/v) ethanol in the
expression culture further reduced the tendency to form inclusion bodies. With these conditions and
in culture medium Terrific broth (TB) (Figure S1), high protein levels with minimal contaminations
were obtained 5 h after induction (Figure 1a). The observed small contaminations at 30 kDa may be
attributed to protein degradation or incomplete protein translation. Upon longer expression times
these contaminations increased relatively to the target protein rendering these conditions less favorable
for recombinant AHK1 production in the bacterial host. 230,000 x g and applied to nickel-nitrilotriacetic acid (Ni-NTA) immobilized metal affin
chromatography (IMAC). Nonspecifically bound proteins were removed by washing the affin
resin with 50 mM imidazole. Highly pure recombinant AHK1 was eluted at 100 mM imidaz
Coomassie staining (Figure 1b) and Western blot analysis (Figure 1c) revealed a dominant sin
band at approximately 130 kDa which correlated well to the sequence-based theoretical molecu
mass of recombinant AHK1 of 138 kDa. While Coomassie staining of the purified sample showed
obvious signs of contaminations, some faint background bands become visible in the Western b
suggesting that minor protein degradation may have occurred before or during chromatograp
purification in the presence of 0.015% (w/v) FosCholine-16. However, due to their low intensitie
comparison to the band intensity of the full-length AHK1 membrane protein these backgrou
t
i
t
b
l
t d g
(a)
(b)
(c)
Figure 1. Expression and purification of recombinant His-tagged AHK1. (a) Expression of Arabido
histidine kinase 1 (AHK1) in E. coli BL21 (DE3) containing the pRARE plasmid was checked on 1
SDS-polyacrylamide gel electrophoresis (SDS–PAGE). Samples from the expression were taken up
induction with isopropyl β-d-1-thiogalactopyranoside (IPTG) (lane 1) and after 2, 4, and 5
respectively (lanes 2–4) and analyzed by Western blotting using anti-His Tag antibodies. 2.1. Heterologous Expression and Purification of AHK1 Sensor Kinase (b) AH
purified by nickel-nitrilotriacetic acid (Ni-NTA) affinity chromatography. Left lane, protein mark
right lane, 1 µg of purified protein. Protein bands were visualized by Coomassie staining. T
apparent molecular mass of about 130 kDa of the purified protein corresponds to the theoret
molecular mass of AHK1. (c) Purity and identity of the recombinant AHK1 was confirmed by West
blotting using anti-His Tag antibodies. Figure 1. Expression and purification of recombinant His-tagged AHK1. (a) Expression of Arabidopsis
histidine kinase 1 (AHK1) in E. coli BL21 (DE3) containing the pRARE plasmid was checked on 10%
SDS-polyacrylamide gel electrophoresis (SDS–PAGE). Samples from the expression were taken upon
induction with isopropyl β-d-1-thiogalactopyranoside (IPTG) (lane 1) and after 2, 4, and 5 h, respectively
(lanes 2–4) and analyzed by Western blotting using anti-His Tag antibodies. (b) AHK1 purified by
nickel-nitrilotriacetic acid (Ni-NTA) affinity chromatography. Left lane, protein marker; right lane, 1 µg
of purified protein. Protein bands were visualized by Coomassie staining. The apparent molecular
mass of about 130 kDa of the purified protein corresponds to the theoretical molecular mass of AHK1. (c) Purity and identity of the recombinant AHK1 was confirmed by Western blotting using anti-His
Tag antibodies. (c) (a) (b) (a) (c) Figure 1. Expression and purification of recombinant His-tagged AHK1. (a) Expression of Arabidop
Figure 1. Expression and purification of recombinant His-tagged AHK1. (a) Expression of Arabidopsis Figure 1. Expression and purification of recombinant His-tagged AHK1. (a) Expression of Arabido
histidine kinase 1 (AHK1) in E. coli BL21 (DE3) containing the pRARE plasmid was checked on 1
SDS-polyacrylamide gel electrophoresis (SDS–PAGE). Samples from the expression were taken up
induction with isopropyl β-d-1-thiogalactopyranoside (IPTG) (lane 1) and after 2, 4, and 5
respectively (lanes 2–4) and analyzed by Western blotting using anti-His Tag antibodies. (b) AH
purified by nickel-nitrilotriacetic acid (Ni-NTA) affinity chromatography. Left lane, protein mark
right lane, 1 µg of purified protein. Protein bands were visualized by Coomassie staining. T
apparent molecular mass of about 130 kDa of the purified protein corresponds to the theoret
molecular mass of AHK1. (c) Purity and identity of the recombinant AHK1 was confirmed by West
blotting using anti-His Tag antibodies. Figure 1. Expression and purification of recombinant His-tagged AHK1. (a) Expression of Arabidopsis
histidine kinase 1 (AHK1) in E. coli BL21 (DE3) containing the pRARE plasmid was checked on 10%
SDS-polyacrylamide gel electrophoresis (SDS–PAGE). 2.1. Heterologous Expression and Purification of AHK1 Sensor Kinase Samples from the expression were taken upon
induction with isopropyl β-d-1-thiogalactopyranoside (IPTG) (lane 1) and after 2, 4, and 5 h, respectively
(lanes 2–4) and analyzed by Western blotting using anti-His Tag antibodies. (b) AHK1 purified by
nickel-nitrilotriacetic acid (Ni-NTA) affinity chromatography. Left lane, protein marker; right lane, 1 µg
of purified protein. Protein bands were visualized by Coomassie staining. The apparent molecular
mass of about 130 kDa of the purified protein corresponds to the theoretical molecular mass of AHK1. (c) Purity and identity of the recombinant AHK1 was confirmed by Western blotting using anti-His
Tag antibodies. Figure 1. Expression and purification of recombinant His-tagged AHK1. (a) Expression of Arabido
histidine kinase 1 (AHK1) in E. coli BL21 (DE3) containing the pRARE plasmid was checked on 1
SDS-polyacrylamide gel electrophoresis (SDS–PAGE). Samples from the expression were taken up
induction with isopropyl β-d-1-thiogalactopyranoside (IPTG) (lane 1) and after 2, 4, and 5
respectively (lanes 2–4) and analyzed by Western blotting using anti-His Tag antibodies. (b) AH
purified by nickel-nitrilotriacetic acid (Ni-NTA) affinity chromatography. Left lane, protein mark
right lane, 1 µg of purified protein. Protein bands were visualized by Coomassie staining. T
apparent molecular mass of about 130 kDa of the purified protein corresponds to the theoret
molecular mass of AHK1. (c) Purity and identity of the recombinant AHK1 was confirmed by West
blotting using anti-His Tag antibodies. Figure 1. Expression and purification of recombinant His-tagged AHK1. (a) Expression of Arabidopsis
histidine kinase 1 (AHK1) in E. coli BL21 (DE3) containing the pRARE plasmid was checked on 10%
SDS-polyacrylamide gel electrophoresis (SDS–PAGE). Samples from the expression were taken upon
induction with isopropyl β-d-1-thiogalactopyranoside (IPTG) (lane 1) and after 2, 4, and 5 h, respectively
(lanes 2–4) and analyzed by Western blotting using anti-His Tag antibodies. (b) AHK1 purified by
nickel-nitrilotriacetic acid (Ni-NTA) affinity chromatography. Left lane, protein marker; right lane, 1 µg
of purified protein. Protein bands were visualized by Coomassie staining. The apparent molecular
mass of about 130 kDa of the purified protein corresponds to the theoretical molecular mass of AHK1. (c) Purity and identity of the recombinant AHK1 was confirmed by Western blotting using anti-His
Tag antibodies. purified by nickel nitrilotriacetic acid (Ni NTA) affinity chromatography. Left lane, protein mark
right lane, 1 µg of purified protein. Protein bands were visualized by Coomassie staining. 2.2. Size Exclusion Chromatography of the Recombinant AHK1 Osmosensor
g
p y f
To evaluate homgeneity and monodispersity of the recombinant 2.2. Size Exclusion Chromatography of the Recombinant AHK1 Osmosensor
To evaluate homgeneity and monodispersity of the recombinant To evaluate homgeneity and monodispersity of the recombinantly-produced osmosensor we
performed a size exclusion chromatography (SEC). The SEC profile shown in Figure 2a shows a distinct
major peak at 17.27 mL elution volume. Peak shape and narrow distribution indicate monodispersity
and homogeneity of the purified AHK1 sensor kinase. The small minor peaks observed at lower elution
volume may be attributed to larger micelles or aggregates. In order to relate the elution volume on the
gel filtration column to the molecular mass of the purified full-length AHK1 sensor kinase, a number
of protein standards (thyroglobuline 669 kDa, ferritin 440 kDa, aldolase 158 kDa, ovalbumin 43 kDa)
were applied to the gel filtration column at the same buffer conditions. Based on the calibration with
these proteins (see Figure 2b) the main peak of the elution profile corresponded to a molecular mass of
111 kDa. Assuming that the overall fold of the recombinant AHK1 resembles the globular form of the
protein standards in the presence of 0.015% (w/v) FosCholine-16 and taking into account the molecular
mass of the FosCholine micelle, the molecular mass of 111 kDa calculated from the SEC experiments
implies that the purified recombinant AHK1 osmosensor was isolated in its monomeric form. performed a size exclusion chromatography (SEC). The SEC profile shown in Figure 2a shows a
distinct major peak at 17.27 mL elution volume. Peak shape and narrow distribution indicate
monodispersity and homogeneity of the purified AHK1 sensor kinase. The small minor peaks
observed at lower elution volume may be attributed to larger micelles or aggregates. In order to relate
the elution volume on the gel filtration column to the molecular mass of the purified full-length
AHK1 sensor kinase, a number of protein standards (thyroglobuline 669 kDa, ferritin 440 kDa,
aldolase 158 kDa, ovalbumin 43 kDa) were applied to the gel filtration column at the same buffer
conditions. Based on the calibration with these proteins (see Figure 2b) the main peak of the elution
profile corresponded to a molecular mass of 111 kDa. 2.2. Size Exclusion Chromatography of the Recombinant AHK1 Osmosensor
g
p y f
To evaluate homgeneity and monodispersity of the recombinant Assuming that the overall fold of the
recombinant AHK1 resembles the globular form of the protein standards in the presence of 0.015%
(w/v) FosCholine-16 and taking into account the molecular mass of the FosCholine micelle, the
molecular mass of 111 kDa calculated from the SEC experiments implies that the purified
recombinant AHK1 osmosensor was isolated in its monomeric form. Figure 2. Size exclusion chromatogram of the recombinant AHK1 osmosensor (a). Experiments were
performed on a Superose 10/300 column in 50 mM Tris, 300 mM NaCl, 10% (w/v) glycerol, 2.5 mM
DTT, 0.015 % (w/v) FosCholine16, 0.002% (w/v) phenylmethylsulfonyl fluoride (PMSF) at pH 7.6 with
100 µL of purified AHK1. The molecular weight of the AHK1 osmosensor was calculated based on
the slope of the calibration curve obtained with standard proteins. The distinct elution peak observed
at 17.27 mL corresponds to a molecular weight of 111 kDa, indicating that AHK1 was isolated in the
monomeric state. Calibration curve (b) derived from the four elution volumes of thyroglobuline,
ferritin, aldolase, and ovalbumin with the elution volume of AHK1 (17.27 mL) indicated in red. Figure 2. Size exclusion chromatogram of the recombinant AHK1 osmosensor (a). Experiments were
performed on a Superose 10/300 column in 50 mM Tris, 300 mM NaCl, 10% (w/v) glycerol, 2.5 mM DTT,
0.015% (w/v) FosCholine16, 0.002% (w/v) phenylmethylsulfonyl fluoride (PMSF) at pH 7.6 with 100 µL
of purified AHK1. The molecular weight of the AHK1 osmosensor was calculated based on the slope of
the calibration curve obtained with standard proteins. The distinct elution peak observed at 17.27 mL
corresponds to a molecular weight of 111 kDa, indicating that AHK1 was isolated in the monomeric
state. Calibration curve (b) derived from the four elution volumes of thyroglobuline, ferritin, aldolase,
and ovalbumin with the elution volume of AHK1 (17.27 mL) indicated in red. Figure 2. Size exclusion chromatogram of the recombinant AHK1 osmosensor (a). Experiments were
performed on a Superose 10/300 column in 50 mM Tris, 300 mM NaCl, 10% (w/v) glycerol, 2.5 mM
DTT, 0.015 % (w/v) FosCholine16, 0.002% (w/v) phenylmethylsulfonyl fluoride (PMSF) at pH 7.6 with
100 µL of purified AHK1. The molecular weight of the AHK1 osmosensor was calculated based on
the slope of the calibration curve obtained with standard proteins. The distinct elution peak observed
at 17.27 mL corresponds to a molecular weight of 111 kDa, indicating that AHK1 was isolated in the
monomeric state. 2.2. Size Exclusion Chromatography of the Recombinant AHK1 Osmosensor
g
p y f
To evaluate homgeneity and monodispersity of the recombinant Calibration curve (b) derived from the four elution volumes of thyroglobuline,
ferritin, aldolase, and ovalbumin with the elution volume of AHK1 (17.27 mL) indicated in red. Figure 2. Size exclusion chromatogram of the recombinant AHK1 osmosensor (a). Experiments were
performed on a Superose 10/300 column in 50 mM Tris, 300 mM NaCl, 10% (w/v) glycerol, 2.5 mM DTT,
0.015% (w/v) FosCholine16, 0.002% (w/v) phenylmethylsulfonyl fluoride (PMSF) at pH 7.6 with 100 µL
of purified AHK1. The molecular weight of the AHK1 osmosensor was calculated based on the slope of
the calibration curve obtained with standard proteins. The distinct elution peak observed at 17.27 mL
corresponds to a molecular weight of 111 kDa, indicating that AHK1 was isolated in the monomeric
state. Calibration curve (b) derived from the four elution volumes of thyroglobuline, ferritin, aldolase,
and ovalbumin with the elution volume of AHK1 (17.27 mL) indicated in red. 2.1. Heterologous Expression and Purification of AHK1 Sensor Kinase T
apparent molecular mass of about 130 kDa of the purified protein corresponds to the theoret
molecular mass of AHK1. (c) Purity and identity of the recombinant AHK1 was confirmed by West
blotting using anti-His Tag antibodies. c e
o
ce c c
(N N
)
y c
o
og
p y
e
e, p o e
e ;
g
e,
µg
of purified protein. Protein bands were visualized by Coomassie staining. The apparent molecular
mass of about 130 kDa of the purified protein corresponds to the theoretical molecular mass of AHK1. (c) Purity and identity of the recombinant AHK1 was confirmed by Western blotting using anti-His
Tag antibodies. In subsequent systematic detergent screens (Figures S2 and S3, Table S1), 1% (w/v) FosCholine-16
was identified as most efficient in solubilizing the recombinant plant histidine kinase from the bacterial
membranes. Whole cell E. coli lysate solubilized this way was clarified by centrifugation at 230,000× g
and applied to nickel-nitrilotriacetic acid (Ni-NTA) immobilized metal affinity chromatography (IMAC). Nonspecifically bound proteins were removed by washing the affinity resin with 50 mM imidazole. Highly pure recombinant AHK1 was eluted at 100 mM imidazole. Coomassie staining (Figure 1b) and
Western blot analysis (Figure 1c) revealed a dominant single band at approximately 130 kDa which
correlated well to the sequence-based theoretical molecular mass of recombinant AHK1 of 138 kDa. While Coomassie staining of the purified sample showed no obvious signs of contaminations, some
faint background bands become visible in the Western blot, suggesting that minor protein degradation
may have occurred before or during chromatographic purification in the presence of 0.015% (w/v)
FosCholine-16. However, due to their low intensities in comparison to the band intensity of the
full-length AHK1 membrane protein these background contaminants can be neglected. Plants 2020, 9, 304
Plants 2019, 8, 4 of 17
4 of 18 2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor
2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor The secondary structures of purified recombinant AHK1. Deconvolution results from CD
spectra acquired with purified recombinant AHK1 by algorithms SELCON3, CONTINLL, and CDSSTR
are shown together with its sequence-based in-silico secondary structures predicted by SOPMA. (a) (b) (b) (a) Figure 3. Circular dichroism of recombinant AHK1. (a) Circular dichroism spectrum of recombinant
AHK1 shows minima at 208–210 nm and around 220 nm which are typical for α-helical structures. The spectrum has no significant negative band below 200 nm which is indicative for unordered
polypeptide chains. (b) The secondary structure content derived from spectrum deconvolution
specifies that 72% of AHK1 are present in a defined secondary structure and adopt either an α-helical,
Figure 3. Circular dichroism of recombinant AHK1. (a) Circular dichroism spectrum of recombinant
AHK1 shows minima at 208–210 nm and around 220 nm which are typical for α-helical structures. The
spectrum has no significant negative band below 200 nm which is indicative for unordered polypeptide
chains. (b) The secondary structure content derived from spectrum deconvolution specifies that 72% of
AHK1 are present in a defined secondary structure and adopt either an α-helical, β-sheet or β-turn fold. β-sheet or β-turn fold. Table 1. The secondary structures of purified recombinant AHK1. Deconvolution results from CD
spectra acquired with purified recombinant AHK1 by algorithms SELCON3 CONTINLL and
Table 1. The secondary structures of purified recombinant AHK1. Deconvolution results from CD
spectra acquired with purified recombinant AHK1 by algorithms SELCON3, CONTINLL, and CDSSTR
are shown together with its sequence-based in-silico secondary structures predicted by SOPMA. p
q
p
y
g
CDSSTR are shown together with its sequence-based in-silico secondary structures predicted by
SOPMA. Algorithm
% Helical
Content
% Beta Strand
Content
% Turn
Content
% Unordered
Content
SELCON3
26,8
20,0
21,9
27,4
CONTINLL
31,2
21,8
20,0
27,0
CDSSTR
34 9
20 4
17 7
26 7
Algorithm
% Helical Content
% Beta Strand Content
% Turn Content
% Unordered Content
SELCON3
26.8
20.0
21.9
27.4
CONTINLL
31.2
21.8
20.0
27.0
CDSSTR
34.9
20.4
17.7
26.7
GOR4 prediction
34.9
19.4
0
45,7
SOPMA prediction
39.4
15.5
3.9
41.3
2.4. Dimerization Studies of AHK1 Sensor Kinase CONTINLL
31,2
CDSSTR
34 9
2.4. Dimerization Studies of AHK1 Sensor Kinase CONTINLL
31,2
CDSSTR
34 9
2.4. 2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor
2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor Algorithm
% Helical
Content
% Beta Strand
Content
% Turn
Content
% Unordered
Content
SELCON3
26,8
20,0
21,9
27,4
CONTINLL
31,2
21,8
20,0
27,0
CDSSTR
34,9
20,4
17,7
26,7
GOR4
prediction
34,9
19,4
0
45,7
Figure 3. Circular dichroism of recombinant AHK1. (a) Circular dichroism spectrum of recombinant
AHK1 shows minima at 208–210 nm and around 220 nm which are typical for α-helical structures. The
spectrum has no significant negative band below 200 nm which is indicative for unordered polypeptide
chains. (b) The secondary structure content derived from spectrum deconvolution specifies that 72% of
AHK1 are present in a defined secondary structure and adopt either an α-helical, β-sheet or β-turn fold. Table 1. The secondary structures of purified recombinant AHK1. Deconvolution results from CD
spectra acquired with purified recombinant AHK1 by algorithms SELCON3, CONTINLL, and CDSSTR
are shown together with its sequence-based in-silico secondary structures predicted by SOPMA. Algorithm
% Helical Content
% Beta Strand Content
% Turn Content
% Unordered Content
SELCON3
26.8
20.0
21.9
27.4
CONTINLL
31.2
21.8
20.0
27.0
CDSSTR
34.9
20.4
17.7
26.7
GOR4 prediction
34.9
19.4
0
45,7
SOPMA prediction
39.4
15.5
3.9
41.3
Dimerization Studies of AHK1 Sensor Kinase
Dimerization of full length AHK1 was analyzed by microscale thermophoresis (M
asurements. Changes in initial fluorescence were detected upon addition of increasing concentrati (a)
(b)
Figure 3. Circular dichroism of recombinant AHK1. (a) Circular dichroism spectrum of recombinant
AHK1 shows minima at 208–210 nm and around 220 nm which are typical for α-helical structures. The spectrum has no significant negative band below 200 nm which is indicative for unordered
polypeptide chains. (b) The secondary structure content derived from spectrum deconvolution
specifies that 72% of AHK1 are present in a defined secondary structure and adopt either an α-helical,
β-sheet or β-turn fold. Table 1. The secondary structures of purified recombinant AHK1. Deconvolution results from CD
spectra acquired with purified recombinant AHK1 by algorithms SELCON3 CONTINLL and
Figure 3. Circular dichroism of recombinant AHK1. (a) Circular dichroism spectrum of recombinant
AHK1 shows minima at 208–210 nm and around 220 nm which are typical for α-helical structures. The
spectrum has no significant negative band below 200 nm which is indicative for unordered polypeptide
chains. (b) The secondary structure content derived from spectrum deconvolution specifies that 72% of
AHK1 are present in a defined secondary structure and adopt either an α-helical, β-sheet or β-turn fold. Table 1. 2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor
2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor f
f
Purified AHK1 was analysed by circular dichroism (CD) spectroscopy to demonstrate functional
folding of the recombinant protein and to exclude that heterologous expression and detergent
solubilization have resulted in improperly-folded or partially-unfolded protein. The CD spectrum
obtained on this sample (Figure 3a) shows minima at 205 nm and around 220 nm. Together with the
maximum at 195 nm and the observed positive absorbance at wavelengths below 200 nm these
minima are characteristic for a well-folded highly α-helical protein [28,29]. For a detailed analysis of
secondary structure content, the CD spectrum was deconvoluted with three different algorithms
(SELCON3, CONTINLL, and CDSSTR [30]) and the SMP56 membrane protein reference set (Table
1). All three algorithms gave similar results which are summarized in Table 1. However, as no
experimental structural data are available for AHK1 yet, secondary structure contents obtained from
CD measurements were compared to sequence-based in-silico secondary structures predicted by
Purified AHK1 was analysed by circular dichroism (CD) spectroscopy to demonstrate functional
folding of the recombinant protein and to exclude that heterologous expression and detergent
solubilization have resulted in improperly-folded or partially-unfolded protein. The CD spectrum
obtained on this sample (Figure 3a) shows minima at 205 nm and around 220 nm. Together with
the maximum at 195 nm and the observed positive absorbance at wavelengths below 200 nm
these minima are characteristic for a well-folded highly α-helical protein [28,29]. For a detailed
analysis of secondary structure content, the CD spectrum was deconvoluted with three different
algorithms (SELCON3, CONTINLL, and CDSSTR [30]) and the SMP56 membrane protein reference set
(Table 1). All three algorithms gave similar results which are summarized in Table 1. However, as
no experimental structural data are available for AHK1 yet, secondary structure contents obtained
from CD measurements were compared to sequence-based in-silico secondary structures predicted by 5 of 17
5 of 18 Plants 2020, 9, 304
Plants 2019, 8, GOR4 [31] and SOPMA [32]. Data from spectroscopic analysis (Figure 3b) and in silico predictions
(Table 1) agree well, with GOR4 resembling precisely the experimental data for the helical content. They specify that most of the recombinant protein adopts a well-defined secondary structure with
only 25% of the sequence existing in an unstructured conformation which might represent the
flexible loops connecting the well-defined transmembrane sensor, and catalytic topological domains. 2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor
2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor Thus, the purified recombinant AHK1 is likely to reflect the native fold and conformation of the plant
histidine kinase. GOR4 [31]and SOPMA [32]. Data from spectroscopic analysis (Figure 3b) and in silico predictions
(Table 1) agree well, with GOR4 resembling precisely the experimental data for the helical content. They specify that most of the recombinant protein adopts a well-defined secondary structure with
only 25% of the sequence existing in an unstructured conformation which might represent the flexible
loops connecting the well-defined transmembrane sensor, and catalytic topological domains. Thus, the purified recombinant AHK1 is likely to reflect the native fold and conformation of the plant
histidine kinase. (a)
Figure 3. Circular dichroism of recombina
AHK1 shows minima at 208–210 nm and
The spectrum has no significant negativ
polypeptide chains. (b) The secondary
specifies that 72% of AHK1 are present in a
β-sheet or β-turn fold. Table 1. The secondary structures of pur
spectra acquired with purified recombin
CDSSTR are shown together with its seq
SOPMA. Algorithm
% Helical
Content
SELCON3
26,8
CONTINLL
31,2
CDSSTR
34,9
GOR4
Figure 3. Circular dichroism of recombina
AHK1 shows minima at 208–210 nm and ar
spectrum has no significant negative band b
chains. (b) The secondary structure conten
AHK1 are present in a defined secondary st
Table 1. The secondary structures of puri
spectra acquired with purified recombinan
are shown together with its sequence-base
Algorithm
% Helical Content
%
SELCON3
26.8
CONTINLL
31.2
CDSSTR
34.9
GOR4 prediction
34.9
SOPMA prediction
39.4
2.4. Dimerization Studies of AHK1 Sensor Kin
Dimerization of full length AHK1 (a)
(b)
Figure 3. Circular dichroism of recombinant AHK1. (a) Circular dichroism spectrum of recombinant
AHK1 shows minima at 208–210 nm and around 220 nm which are typical for α-helical structures. The spectrum has no significant negative band below 200 nm which is indicative for unordered
polypeptide chains. (b) The secondary structure content derived from spectrum deconvolution
specifies that 72% of AHK1 are present in a defined secondary structure and adopt either an α-helical,
β-sheet or β-turn fold. Table 1. The secondary structures of purified recombinant AHK1. Deconvolution results from CD
spectra acquired with purified recombinant AHK1 by algorithms SELCON3, CONTINLL, and
CDSSTR are shown together with its sequence-based in-silico secondary structures predicted by
SOPMA. 2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor
2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor Dimerization Studies of AHK1 Sensor Kinase NTINLL
31,2
21,8
20,0
27,0
DSSTR
34 9
20 4
17 7
26 7
merization Studies of AHK1 Sensor Kinase CDSSTR
34,9
20,4
17,7
26,7
GOR4
prediction
34,9
19,4
0
45,7
SOPMA
prediction
39,4
15,5
3,9
41,3
2.4. Dimerization Studies of AHK1 Sensor Kinase
Dimerization of full length AHK1 was analyzed by microscale thermophoresis (MST)
measurements. Changes in initial fluorescence were detected upon addition of increasing
concentrations of unlabeled full length AHK1 (0.4–12 µM) to 40 nM AHK1 labeled with the
fluorophore AlexaFluor488-NHS. The resulting binding curve (Figure 4a) reflects tight binding of the
monomers with an apparent dissociation constant (Kd) of 208 +/− 48 nM. The observed high affinity
binding between AHK1 monomers resulting in the formation of the dimer present at physiological
conditions further supports in vitro functional folding of the expressed and purified full-length AHK1
osmosensor The negative control with chemically denatured AHK1 showed no interaction as
Dimerization of full length AHK1 was analyzed by microscale thermophoresis (MST)
measurements. Changes in initial fluorescence were detected upon addition of increasing concentrations
of unlabeled full length AHK1 (0.4–12 µM) to 40 nM AHK1 labeled with the fluorophore
AlexaFluor488-NHS. The resulting binding curve (Figure 4a) reflects tight binding of the monomers
with an apparent dissociation constant (Kd) of 208 +/−48 nM. The observed high affinity binding
between AHK1 monomers resulting in the formation of the dimer present at physiological conditions
further supports in vitro functional folding of the expressed and purified full-length AHK1 osmosensor. The negative control with chemically denatured AHK1 showed no interaction as expected (see
Figure 4a). To corroborate the in vitro results in vivo, we performed a mating-based split-ubiquitin
system (mbSUS) assay in yeast [33] and Förster resonance energy transfer (FRET)-fluorescence lifetime
imaging microscopy (FLIM) study in transiently-transformed Nicotiana benthamiana epidermal leaf
cells [34]. For the mbSUS assay, full-length AHK1 and control proteins were expressed as Nub or Cub
fusion in yeast. After mating, the presence of the plasmids was verified by growth of yeast cells on
synthetic complete (SC) medium containing adenine and histidine (SC + Ade, His), whereas the putative 6 of 17 Plants 2020, 9, 304 interaction of AHK1 was assayed by growth on SC medium containing 50 µM Met, which enhances
the stringency of the interaction test (Figure 4b). 2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor
2.3. Circular Dichroism of Purified Recombinant AHK1 Osmosensor AHK1-Cub together with the negative control NubG
(Nub mutant to avoid reassembling) did not show complementation of yeast growth, whilst the growth
in the presence of the positive control NubWT (wild type Nub) proved the effectiveness of the assay. A clear complementation of yeast growth was observed in the presence of AHK1-Cub and AHK1-NubA
(Figure 4b), demonstrating AHK1 homomerization in vivo. To verify the results of the MST and
mbSUS studies, we performed a (FLIM) analysis. AHK1-GFP was transiently expressed in tobacco
(Nicotiana benthamiana) epidermal leaf cells either alone (negative control) or with AHK1-mCherry. The AHK1-GFP-mCherry served as positive control. All fusion proteins (co-)localized to the cellular
periphery suggesting that AHK1 is a plasma membrane-resident protein in plant cells (Figure 4c). In the
presence of AHK1-mCherry the fluorescence lifetime of AHK1-GFP decreased significantly indicating
energy transfer between the fluorophores and, thus, very close spatial proximity/homomerization of
the AHK1 monomers (Figure 4d). The AHK1-GFP-mCherry positive control exhibited the expected
very strong reduction of the fluorescence lifetime, as the donor and acceptor fluorophores were directly
linked in the fusion protein (Figure 4d). Plants 2019, 8, x FOR PEER REVIEW
expected (see Figure 4a). To corroborate the in vitro results in vivo, we performed a mating-b
split-ubiquitin system (mbSUS) assay in yeast [33] and Förster resonance energy transfer (FR
fluorescence lifetime imaging microscopy (FLIM) study in transiently-transformed Nic
benthamiana epidermal leaf cells [34]. For the mbSUS assay, full-length AHK1 and control pro 2.5. Heterologous Expression and Purification of the AHP2 Transfer Protein
were expressed as Nub or Cub fusion in yeast. After mating, the
by growth of yeast cells on synthetic complete (SC) medium co The AHK1 phosphorelay downstream binding partner AHP2 identified in previous studies [35,36]
was overexpressed as GST-tagged fusion protein in E. coli BL21 (DE3)-Gold cells overnight at 16 ◦C
(Figure 5a) and purified to apparent homogeneity from bacterial extracts using glutathione-S-transferase
sepharose (GE Healthcare). A single band on SDS–PAGE confirmed the homogeneity of the recombinant
protein (Figure 5b). Identity of AHP2-GST was confirmed with anti-GST antibody (Figure 5c). Ade, His), whereas the putative interaction of AHK1 was assayed by growth on SC me
containing 50 µM Met, which enhances the stringency of the interaction test (Figure 4b). AHK1
together with the negative control NubG (Nub mutant to avoid reassembling) did not
complementation of yeast growth, whilst the growth in the presence of the positive control Nu
(wild type Nub) proved the effectiveness of the assay. A clear complementation of yeast growth
observed in the presence of AHK1 Cub and AHK1 NubA (Figure 4b)
demonstrating A 2.6. Interaction Studies of AHK1 Sensor Kinase with AHP2 Phosphotransfer Protein
homomerization in vivo. To verify the results of the MST and mbSUS stu Confocal images were taken 3 days after Agrobacterium
transformation; bars: 10 µm. (d) FRET-FLIM analysis of the AHK1-GFP/AHK1-mCherry association
in N. benthamiana epidermal leaf cells 3 days after Agrobacterium infection. The AHK1-GFP fusion
serves as donor-only control and AHK1-GFP-mCherry fusion as positive control. Center lines in the
boxplot show the medians; box limits indicate the 25th and 75th percentiles as determined by R
software; the whiskers extend to minimum and maximum values. The details of the statistical
evaluation are provided in Material and Methods; asterisks indicate significant differences (**: p ˂
0.02; ***: p ˂ 0.01; ****: p ˂ 0.001). Figure 4. AHK1 forms homodimers in vitro and in vivo. (a) Microscale thermophoresis (MST)
interaction studies of fluorescently labeled AHK1 sensor kinase with unlabeled AHK1. Relative
changes observed in thermophoresis reflecting binding of the monomers (•) in the functional dimer
were fitted according to a one-binding-site model. The related binding curve indicates a Kd value
of 208 +/−48 nM for AHK1-AHK1 homodimer formation. Data for chemically denatured AHK1 (△)
shows no changes in thermophoresis. Data represent the mean of three independent measurements +/−
standard deviation. (b) Yeast mating-based split-ubiquitin system (mbSUS) assay with AHK1-Cub and
the indicated Nub fusion proteins. Yeast cells transfected with the corresponding expression constructs
were grown at different OD600nm and 30 ◦C on either non-interaction-selecting medium (SC + Ade, His,
left) for 1 day or interaction-selecting medium (SC + 50 µM Met, right) for 4 days. (c) Co-localization of
AHK1-GFP and AHK1-mCherry in the plasma membrane of transiently-transformed N. benthamiana
epidermal leaf cells. Confocal images were taken 3 days after Agrobacterium transformation; bars: 10 µm. (d) FRET-FLIM analysis of the AHK1-GFP/AHK1-mCherry association in N. benthamiana epidermal
leaf cells 3 days after Agrobacterium infection. The AHK1-GFP fusion serves as donor-only control
and AHK1-GFP-mCherry fusion as positive control. Center lines in the boxplot show the medians;
box limits indicate the 25th and 75th percentiles as determined by R software; the whiskers extend to
minimum and maximum values. The details of the statistical evaluation are provided in Material and
Methods; asterisks indicate significant differences (**: p < 0.02; ***: p < 0.01; ****: p < 0.001). Figure 4. AHK1 forms homodimers in vitro and in vivo. (a) Microscale thermophoresis (MST)
interaction studies of fluorescently labeled AHK1 sensor kinase with unlabeled AHK1. 2.6. Interaction Studies of AHK1 Sensor Kinase with AHP2 Phosphotransfer Protein
homomerization in vivo. To verify the results of the MST and mbSUS stu Relative
changes observed in thermophoresis reflecting binding of the monomers (●) in the functional dimer
were fitted according to a one-binding-site model. The related binding curve indicates a Kd value of
208 +/- 48 nM for AHK1-AHK1 homodimer formation. Data for chemically denatured AHK1 ()
shows no changes in thermophoresis. Data represent the mean of three independent measurements
+/- standard deviation. (b) Yeast mating-based split-ubiquitin system (mbSUS) assay with AHK1-Cub
and the indicated Nub fusion proteins. Yeast cells transfected with the corresponding expression
constructs were grown at different OD600nm and 30 °C on either non-interaction-selecting medium (SC
+ Ade, His, left) for 1 day or interaction-selecting medium (SC + 50 µM Met, right) for 4 days. (c) Co-
localization of AHK1-GFP and AHK1-mCherry in the plasma membrane of transiently-transformed
N. benthamiana epidermal leaf cells. Confocal images were taken 3 days after Agrobacterium
transformation; bars: 10 µm. (d) FRET-FLIM analysis of the AHK1-GFP/AHK1-mCherry association
in N. benthamiana epidermal leaf cells 3 days after Agrobacterium infection. The AHK1-GFP fusion
serves as donor-only control and AHK1-GFP-mCherry fusion as positive control. Center lines in the
boxplot show the medians; box limits indicate the 25th and 75th percentiles as determined by R
software; the whiskers extend to minimum and maximum values. The details of the statistical
evaluation are provided in Material and Methods; asterisks indicate significant differences (**: p ˂
0.02; ***: p ˂ 0.01; ****: p ˂ 0.001). Figure 4. AHK1 forms homodimers in vitro and in vivo. (a) Microscale thermophoresis (MST)
interaction studies of fluorescently labeled AHK1 sensor kinase with unlabeled AHK1. Relative
changes observed in thermophoresis reflecting binding of the monomers (•) in the functional dimer
were fitted according to a one-binding-site model. The related binding curve indicates a Kd value
of 208 +/−48 nM for AHK1-AHK1 homodimer formation. Data for chemically denatured AHK1 (△)
shows no changes in thermophoresis. Data represent the mean of three independent measurements +/−
standard deviation. (b) Yeast mating-based split-ubiquitin system (mbSUS) assay with AHK1-Cub and
the indicated Nub fusion proteins. Yeast cells transfected with the corresponding expression constructs
were grown at different OD600nm and 30 ◦C on either non-interaction-selecting medium (SC + Ade, His,
left) for 1 day or interaction-selecting medium (SC + 50 µM Met, right) for 4 days. (c) Co-localization of
AHK1-GFP and AHK1-mCherry in the plasma membrane of transiently-transformed N. benthamiana
epidermal leaf cells. 2.6. Interaction Studies of AHK1 Sensor Kinase with AHP2 Phosphotransfer Protein
homomerization in vivo. To verify the results of the MST and mbSUS stu MST was used to monitor and quantify binding of histidine phosphotransfer protein AHP2 to
fluorescently labeled full-length AHK1 sensor kinase. Changes observed in thermophoresis at different
concentrations of AHP2-GST added to 40 nM AHK1 labeled with fluorescent dye AlexaFluor488-NHS
were plotted as function of the AHP2 concentrations (0.4 nM–12.5 µM) used in the titration series (see
Figure 6). The related binding curve corresponds to an apparent dissociation constant (Kd) of 317 +/−
62 nM. This relatively low value provides evidence of a high affinity interaction between AHK1 and
AHP2 and further supports functional folding of the purified recombinant full-length sensor kinase. Notably, a negative control using chemically denatured AHK1 shows no interaction with AHP2. analysis. AHK1-GFP was transiently expressed in tobacco (Nicotiana benthamiana) epidermal leaf
either alone (negative control) or with AHK1-mCherry. The AHK1-GFP-mCherry served as pos
control. All fusion proteins (co-)localized to the cellular periphery suggesting that AHK1 is a pl
membrane-resident protein in plant cells (Figure 4c). In the presence of AHK1-mCherry
fluorescence lifetime of AHK1-GFP decreased significantly indicating energy transfer between
fluorophores and, thus, very close spatial proximity/homomerization of the AHK1 monomers (Fi
4d). The AHK1-GFP-mCherry positive control exhibited the expected very strong reduction o
fluorescence lifetime, as the donor and acceptor fluorophores were directly linked in the fu
protein (Figure 4d). (a) Figure 4. Cont. Figure 4. Cont. 7 of 17
of 18 Plants 2020, 9, 304 Figure 4. AHK1 forms homodimers in vitro and in vivo. (a) Microscale thermophoresis (MST)
interaction studies of fluorescently labeled AHK1 sensor kinase with unlabeled AHK1. Relative
changes observed in thermophoresis reflecting binding of the monomers (●) in the functional dimer
were fitted according to a one-binding-site model. The related binding curve indicates a Kd value of
208 +/- 48 nM for AHK1-AHK1 homodimer formation. Data for chemically denatured AHK1 ()
shows no changes in thermophoresis. Data represent the mean of three independent measurements
+/- standard deviation. (b) Yeast mating-based split-ubiquitin system (mbSUS) assay with AHK1-Cub
and the indicated Nub fusion proteins. Yeast cells transfected with the corresponding expression
constructs were grown at different OD600nm and 30 °C on either non-interaction-selecting medium (SC
+ Ade, His, left) for 1 day or interaction-selecting medium (SC + 50 µM Met, right) for 4 days. (c) Co-
localization of AHK1-GFP and AHK1-mCherry in the plasma membrane of transiently-transformed
N. benthamiana epidermal leaf cells. 2.6. Interaction Studies of AHK1 Sensor Kinase with AHP2 Phosphotransfer Protein
homomerization in vivo. To verify the results of the MST and mbSUS stu coli BL21 (DE3) Gold cells wa
analyzed by SDS-polyacrylamide gel electrophoresis (SDS-PAGE) and subsequent Western blotting
Protein expression was monitored upon induction with IPTG (lane 1), after 2 h, 4 h, and overnigh
(lanes 2 and 4, respectively) and detected with an anti-GST antibody. (b) The recombinant AHP2
GST, purified by GST-affinity chromatography, migrates on the SDS gel with an apparent molecula
mass of 44 kDa corresponding to the estimated theoretical molecular mass. Protein bands were
visualized by colloidal Coomassie staining. (c) GST-tagged AHP2 was purified by GST-affinity
chromatography, separated by SDS-PAGE and visualized by immunoblotting using an anti-GST
Figure 5. Expression and purification of recombinant GST-tagged AHP2. (a) Expression of GST-fusion
protein of Arabidopsis histidine phosphotransfer protein 2 (AHP2) in E. coli BL21 (DE3) Gold cells was
analyzed by SDS-polyacrylamide gel electrophoresis (SDS-PAGE) and subsequent Western blotting. Protein expression was monitored upon induction with IPTG (lane 1), after 2 h, 4 h, and overnight
(lanes 2 and 4, respectively) and detected with an anti-GST antibody. (b) The recombinant AHP2-GST,
purified by GST-affinity chromatography, migrates on the SDS gel with an apparent molecular mass
of 44 kDa corresponding to the estimated theoretical molecular mass. Protein bands were visualized
by colloidal Coomassie staining. (c) GST-tagged AHP2 was purified by GST-affinity chromatography,
separated by SDS-PAGE and visualized by immunoblotting using an anti-GST antibody. Plants 2019, 8, x FOR PEER REVIEW
9 antibody. .6. Interaction Studies of AHK1 Sensor Kinase with AHP2 Phosphotransfer Protein
MST was used to monitor and quantify binding of histidine phosphotransfer protein AH
luorescently labeled full-length AHK1 sensor kinase. Changes observed in thermophore
ifferent concentrations of AHP2-GST added to 40 nM AHK1 labeled with fluorescent
AlexaFluor488-NHS were plotted as function of the AHP2 concentrations (0.4 nM–12.5 µM) us
he titration series (see Figure 6). The related binding curve corresponds to an apparent dissoci
onstant (Kd) of 317 +/− 62 nM. This relatively low value provides evidence of a high af
nteraction between AHK1 and AHP2 and further supports functional folding of the pu
ecombinant full-length sensor kinase. Notably, a negative control using chemically denatured A
hows no interaction with AHP2. Figure 6. Microscale thermophoresis (MST) interaction studies of fluorescently-labeled AHK1 sensor
kinase with GST-fusion of AHP2. Relative changes observed thermophoresis reflecting binding of the
two protein partners (●) at different concentrations of AHP2-GST were fitted according to a one-
binding-site model. 2.6. Interaction Studies of AHK1 Sensor Kinase with AHP2 Phosphotransfer Protein
homomerization in vivo. To verify the results of the MST and mbSUS stu Confocal images were taken 3 days after Agrobacterium transformation; bars: 10 µm. (d) FRET-FLIM analysis of the AHK1-GFP/AHK1-mCherry association in N. benthamiana epidermal
leaf cells 3 days after Agrobacterium infection. The AHK1-GFP fusion serves as donor-only control
and AHK1-GFP-mCherry fusion as positive control. Center lines in the boxplot show the medians;
box limits indicate the 25th and 75th percentiles as determined by R software; the whiskers extend to
minimum and maximum values. The details of the statistical evaluation are provided in Material and
Methods; asterisks indicate significant differences (**: p < 0.02; ***: p < 0.01; ****: p < 0.001). 8 of 17
antibody Plants 2020, 9, 304
the recombin
(Fi
5 ) Figure 5c). (a)
(b)
(c)
Figure 5. Expression and purification of recombinant GST-tagged AHP2. (a) Expression of GST-fusion
protein of Arabidopsis histidine phosphotransfer protein 2 (AHP2) in E. coli BL21 (DE3) Gold cells was
analyzed by SDS-polyacrylamide gel electrophoresis (SDS-PAGE) and subsequent Western blotting. Protein expression was monitored upon induction with IPTG (lane 1), after 2 h, 4 h, and overnight
(lanes 2 and 4, respectively) and detected with an anti-GST antibody. (b) The recombinant AHP2-
GST, purified by GST-affinity chromatography, migrates on the SDS gel with an apparent molecular
mass of 44 kDa corresponding to the estimated theoretical molecular mass. Protein bands were
visualized by colloidal Coomassie staining. (c) GST-tagged AHP2 was purified by GST-affinity
chromatography, separated by SDS-PAGE and visualized by immunoblotting using an anti-GST
Figure 5. Expression and purification of recombinant GST-tagged AHP2. (a) Expression of GST-fusion
protein of Arabidopsis histidine phosphotransfer protein 2 (AHP2) in E. coli BL21 (DE3) Gold cells was
analyzed by SDS-polyacrylamide gel electrophoresis (SDS-PAGE) and subsequent Western blotting. Protein expression was monitored upon induction with IPTG (lane 1), after 2 h, 4 h, and overnight
(lanes 2 and 4, respectively) and detected with an anti-GST antibody. (b) The recombinant AHP2-GST,
purified by GST-affinity chromatography, migrates on the SDS gel with an apparent molecular mass
of 44 kDa corresponding to the estimated theoretical molecular mass. Protein bands were visualized
by colloidal Coomassie staining. (c) GST-tagged AHP2 was purified by GST-affinity chromatography,
separated by SDS-PAGE and visualized by immunoblotting using an anti-GST antibody. Plants 2019, 8, x FOR PEER REVIEW
9 (b) (c) (a) (c) (b) (a) Figure 5. Expression and purification of recombinant GST-tagged AHP2. (a) Expression of GST-fusion
protein of Arabidopsis histidine phosphotransfer protein 2 (AHP2) in E. 2.6. Interaction Studies of AHK1 Sensor Kinase with AHP2 Phosphotransfer Protein
homomerization in vivo. To verify the results of the MST and mbSUS stu Data for chemically denatured AHK1 (△) which show no
changes in thermophoresis are given for comparison. Data represent the mean of seven independent
measurements +/−standard deviation. For control with denatured protein duplicates were taken for
each concentration. 2.6. Interaction Studies of AHK1 Sensor Kinase with AHP2 Phosphotransfer Protein
homomerization in vivo. To verify the results of the MST and mbSUS stu From the related binding curve a Kd value of 317 +/− 62 nM was obtained for the
AHK1-AHP2 complex formation. Data for chemically denatured AHK1 () which show no changes
in thermophoresis are given for comparison. Data represent the mean of seven independent
measurements +/− standard deviation. For control with denatured protein duplicates were taken for
each concentration
Figure 6. Microscale thermophoresis (MST) interaction studies of fluorescently-labeled AHK1 sensor
kinase with GST-fusion of AHP2. Relative changes observed thermophoresis reflecting binding of
the two protein partners (•) at different concentrations of AHP2-GST were fitted according to a
one-binding-site model. From the related binding curve a Kd value of 317 +/−62 nM was obtained
for the AHK1-AHP2 complex formation. Data for chemically denatured AHK1 (△) which show no
changes in thermophoresis are given for comparison. Data represent the mean of seven independent
measurements +/−standard deviation. For control with denatured protein duplicates were taken for
each concentration. dies of AHK1 Sensor Kinase with AHP2 Phosphotransfer Protei
d to monitor and quantify binding of histidine phosphotr
led full-length AHK1 sensor kinase. Changes observed
rations of AHP2-GST added to 40 nM AHK1 labeled
HS were plotted as function of the AHP2 concentrations (0
(see Figure 6). The related binding curve corresponds to a
317 +/− 62 nM. This relatively low value provides evid
en AHK1 and AHP2 and further supports functional f
ength sensor kinase. Notably, a negative control using chem
on with AHP2. Figure 6. Microscale thermophoresis (MST) interaction studies of fluorescently-labeled AHK1 sensor
kinase with GST-fusion of AHP2. Relative changes observed thermophoresis reflecting binding of the
two protein partners (●) at different concentrations of AHP2-GST were fitted according to a one-
binding-site model. From the related binding curve a Kd value of 317 +/− 62 nM was obtained for the
AHK1-AHP2 complex formation. Data for chemically denatured AHK1 () which show no changes
in thermophoresis are given for comparison. Data represent the mean of seven independent
measurements +/− standard deviation. For control with denatured protein duplicates were taken for
Figure 6. Microscale thermophoresis (MST) interaction studies of fluorescently-labeled AHK1 sensor
kinase with GST-fusion of AHP2. Relative changes observed thermophoresis reflecting binding of
the two protein partners (•) at different concentrations of AHP2-GST were fitted according to a
one-binding-site model. From the related binding curve a Kd value of 317 +/−62 nM was obtained
for the AHK1-AHP2 complex formation. 2.6. Interaction Studies of AHK1 Sensor Kinase with AHP2 Phosphotransfer Protein
homomerization in vivo. To verify the results of the MST and mbSUS stu Data for chemically denatured AHK1 (△) which show no
changes in thermophoresis are given for comparison. Data represent the mean of seven independent
measurements +/−standard deviation. For control with denatured protein duplicates were taken for
each concentration. Figure 6. Microscale thermophoresis (MST) interaction studies of fluorescently-labeled AHK1 sensor
kinase with GST-fusion of AHP2. Relative changes observed thermophoresis reflecting binding of the
two protein partners (●) at different concentrations of AHP2-GST were fitted according to a one-
binding-site model. From the related binding curve a Kd value of 317 +/− 62 nM was obtained for the
AHK1-AHP2 complex formation. Data for chemically denatured AHK1 () which show no changes
in thermophoresis are given for comparison. Data represent the mean of seven independent
measurements +/− standard deviation. For control with denatured protein duplicates were taken for
Figure 6. Microscale thermophoresis (MST) interaction studies of fluorescently-labeled AHK1 sensor
kinase with GST-fusion of AHP2. Relative changes observed thermophoresis reflecting binding of
the two protein partners (•) at different concentrations of AHP2-GST were fitted according to a
one-binding-site model. From the related binding curve a Kd value of 317 +/−62 nM was obtained
for the AHK1-AHP2 complex formation. Data for chemically denatured AHK1 (△) which show no
changes in thermophoresis are given for comparison. Data represent the mean of seven independent
measurements +/−standard deviation. For control with denatured protein duplicates were taken for
each concentration. Figure 6. Microscale thermophoresis (MST) interaction studies of fluorescently-labeled AHK1 sensor
kinase with GST-fusion of AHP2. Relative changes observed thermophoresis reflecting binding of the
two protein partners (●) at different concentrations of AHP2-GST were fitted according to a one-
binding-site model. From the related binding curve a Kd value of 317 +/− 62 nM was obtained for the
AHK1-AHP2 complex formation. Data for chemically denatured AHK1 () which show no changes
in thermophoresis are given for comparison. Data represent the mean of seven independent
measurements +/− standard deviation. For control with denatured protein duplicates were taken for
Figure 6. Microscale thermophoresis (MST) interaction studies of fluorescently-labeled AHK1 sensor
kinase with GST-fusion of AHP2. Relative changes observed thermophoresis reflecting binding of
the two protein partners (•) at different concentrations of AHP2-GST were fitted according to a
one-binding-site model. From the related binding curve a Kd value of 317 +/−62 nM was obtained
for the AHK1-AHP2 complex formation. each concentration.
2.7. AHK1 Acts as Phospho-His and/or Phospho-Asp Phosphatase In Vitro 2.7. AHK1 Acts as Phospho-His and/or Phospho-Asp Phosphatase In Vitro
To test whether AHK1 has enzymatic activity, we performed auto-phosphorylation assays using
γ-33P-ATP. However, no auto-modification of AHK1 with 33phosphate was observed. This suggested
that AHK1 is not an active His kinase in the absence of the yet unknown ligand. However, as reported
To test whether AHK1 has enzymatic activity, we performed auto-phosphorylation assays using
γ-33P-ATP. However, no auto-modification of AHK1 with 33phosphate was observed. This suggested
that AHK1 is not an active His kinase in the absence of the yet unknown ligand. However, as reported for
the cytokinin receptor AHK4 [37], plant histidine kinases can also act as P-His or P-Asp phosphatases by 9 of 17 Plants 2020, 9, 304 forcing a backward flux of phosphoryl residues within a given phosphorelay system. To establish such
an phosphorelay system in vitro, we first tested the capacity of the (His)6-tagged output domain of the
soluble Arabidopsis thaliana histidine kinase 5 (AHK5output; amino acid 343 to 922), which contains the His
kinase-typical HisKA, HATPAse c and the receiver domains [21] to auto-phosphorylate and to transfer
the phosphoryl group to GST-tagged AHP2. When incubated with γ-33P-ATP, AHK5output clearly
displayed incorporation of 33phosphate (Figure 7, lane 1), demonstrating its auto-phosphorylation
capacity. When GST-tagged AHP2 was present in the phosphorylation reaction, AHK5output was able
to transfer 33P-labeled phosphoryl residues to the phosphotransfer protein, as shown by the enhanced
labelling of AHP2 against background and, in parallel, by the reduction of AHK5output auto-labelling
(Figure 7, compare lanes 2 and 5). In the presence of AHK1, however, neither auto-phosphorylation of
AHK5output (Figure 7, lane 3) nor the background-caused and AHK5output-caused enhanced labelling
of AHP2 (Figure 7, lanes 4 and 6) were observed anymore. These results indicate that AHK1 is able to
empty the AHK5output-to-AHP2 phosphorelay system from phosphoryl residues and, therefore, acts as
P-His and/or P-Asp phosphatase in vitro. Plants 2019, 8, x FOR PEER REVIEW
10 of 18 Figure 7. AHK1 functions as phospho-His and/or phospho-Asp phosphatase in vitro. (a)
Autoradiogram of the phosphorylation experiments performed with (His)6-tagged AHK1 (AHK1),
(His)6-tagged AHK5output (AHK5output) and GST-tagged AHP2 (AHP2) in the presence of γ-33P-
ATP. Lane 1: AHK5output; lane 2: AHK5output and AHP2; lane 3: AHK1, AHK5output; lane 4:
AHK1, AHK5output, AHP2; lane 5: AHP2; lane 6: AHK1, AHP2. Phosphorylation reactions were run
at room temperature for 20 min. 3. Discussion
3. Discussion Despite the large number of histidine kinases participating in two-component signal transfer
processes and their counterparts in plants involved in multi-step phosphorelay signaling, our
information on thermodynamics and kinetics that determine the interaction of these sensor kinases
with their downstream histidine phosphotransfer proteins as well as the conformational changes
triggering signal transfer activity in the phoshorelay is still sparse. This is partly due to the fact that
most of these sensor kinases are integral membrane proteins which are hardly accessible to
biochemical characterization. Thus, not surprisingly, most of the published interaction studies are
based on yeast-two-hybrid analysis allowing qualitative assessments on the interaction, although two
systems have been addressed in a quantitative way in biophysical studies by fluorescence
polarization [23] assay or surface plasmon resonance (SPR) experiments [38] in the past. Among the five receptor histidine kinases described in Arabidopsis AHK1 takes a special place
Despite the large number of histidine kinases participating in two-component signal transfer
processes and their counterparts in plants involved in multi-step phosphorelay signaling, our
information on thermodynamics and kinetics that determine the interaction of these sensor kinases
with their downstream histidine phosphotransfer proteins as well as the conformational changes
triggering signal transfer activity in the phoshorelay is still sparse. This is partly due to the fact that
most of these sensor kinases are integral membrane proteins which are hardly accessible to biochemical
characterization. Thus, not surprisingly, most of the published interaction studies are based on
yeast-two-hybrid analysis allowing qualitative assessments on the interaction, although two systems
have been addressed in a quantitative way in biophysical studies by fluorescence polarization [23]
assay or surface plasmon resonance (SPR) experiments [38] in the past. Among the five receptor histidine kinases described in Arabidopsis, AHK1 takes a special place
for its potential involvement in osmoregulation and its role as a positive regulator in drought
response [39], although the ligand of this receptor has remained unknown so far. In this study, to the
best of our knowledge, AHK1 has been successfully produced heterologously in the enterobacterium
E. coli in a functional state for the first time. Successful expression in a bacterial host turned out to be
critically dependent on the presence of rare tRNAs. each concentration.
2.7. AHK1 Acts as Phospho-His and/or Phospho-Asp Phosphatase In Vitro Thereafter, the proteins were separated by SDS-PAGE and the gel
exposed to a phospho-imaging plate overnight. (b) Coomassie-stained SDS-PAGE gel showing the
presence of the recombinant proteins in the reactions indicated in (a). M: protein size marker. Figure
7. AHK1
functions
as
phospho-His
and/or
phospho-Asp
phosphatase
in vitro. (a) Autoradiogram of the phosphorylation experiments performed with (His)6-tagged AHK1 (AHK1),
(His)6-tagged AHK5output (AHK5output) and GST-tagged AHP2 (AHP2) in the presence of γ-33P-ATP. Lane 1: AHK5output; lane 2: AHK5output and AHP2; lane 3: AHK1, AHK5output; lane 4: AHK1,
AHK5output, AHP2; lane 5: AHP2; lane 6: AHK1, AHP2. Phosphorylation reactions were run at room
temperature for 20 min. Thereafter, the proteins were separated by SDS-PAGE and the gel exposed to a
phospho-imaging plate overnight. (b) Coomassie-stained SDS-PAGE gel showing the presence of the
recombinant proteins in the reactions indicated in (a). M: protein size marker. Figure 7. AHK1 functions as phospho-His and/or phospho-Asp phosphatase in vitro. (a)
Figure
7. AHK1
functions
as
phospho-His
and/or
phospho-Asp
phosphatase
in vitro. Figure 7. AHK1 functions as phospho-His and/or phospho-Asp phosphatase in vitro. (a)
Autoradiogram of the phosphorylation experiments performed with (His)6-tagged AHK1 (AHK1),
(His)6-tagged AHK5output (AHK5output) and GST-tagged AHP2 (AHP2) in the presence of γ-33P-
ATP. Lane 1: AHK5output; lane 2: AHK5output and AHP2; lane 3: AHK1, AHK5output; lane 4:
AHK1, AHK5output, AHP2; lane 5: AHP2; lane 6: AHK1, AHP2. Phosphorylation reactions were run
at room temperature for 20 min. Thereafter, the proteins were separated by SDS-PAGE and the gel
exposed to a phospho-imaging plate overnight. (b) Coomassie-stained SDS-PAGE gel showing the
presence of the recombinant proteins in the reactions indicated in (a). M: protein size marker. Figure
7. AHK1
functions
as
phospho-His
and/or
phospho-Asp
phosphatase
in vitro. (a) Autoradiogram of the phosphorylation experiments performed with (His)6-tagged AHK1 (AHK1),
(His)6-tagged AHK5output (AHK5output) and GST-tagged AHP2 (AHP2) in the presence of γ-33P-ATP. Lane 1: AHK5output; lane 2: AHK5output and AHP2; lane 3: AHK1, AHK5output; lane 4: AHK1,
AHK5output, AHP2; lane 5: AHP2; lane 6: AHK1, AHP2. Phosphorylation reactions were run at room
temperature for 20 min. Thereafter, the proteins were separated by SDS-PAGE and the gel exposed to a
phospho-imaging plate overnight. (b) Coomassie-stained SDS-PAGE gel showing the presence of the
recombinant proteins in the reactions indicated in (a). M: protein size marker. 3. Discussion
3. Discussion Furthermore, expression at a low temperature
(16 °C), short expression time (5 h) and the addition of 2% (v/v) of ethanol were proven to be crucial
Among the five receptor histidine kinases described in Arabidopsis, AHK1 takes a special place for
its potential involvement in osmoregulation and its role as a positive regulator in drought response [39],
although the ligand of this receptor has remained unknown so far. In this study, to the best of our
knowledge, AHK1 has been successfully produced heterologously in the enterobacterium E. coli in a
functional state for the first time. Successful expression in a bacterial host turned out to be critically
dependent on the presence of rare tRNAs. Furthermore, expression at a low temperature (16 ◦C), 10 of 17 Plants 2020, 9, 304 short expression time (5 h) and the addition of 2% (v/v) of ethanol were proven to be crucial for a
successful expression of the full-length integral membrane protein. The critical importance of these
parameters for a successful recombinant production of the sensor kinase probably lies in the fact
that higher expression level will result in intracellular protein aggregation, non-functional protein,
or negative interference with bacterial TCSs. Hence, in order to obtain the recombinant sensor kinase
in a functional state for further physiological studies, strict monitoring of the heterologous expression
is crucial. Solubilization and purification of AHK1 from the bacterial membranes was possible with
the lipid-like detergent FosCholine-16 at high protein purity and yield leaving only minor background
contaminants in the sample purified by single-step affinity chromatography. In order to confirm
the high purity and monodispersity of the AHK1 produced, the solubilized and purified membrane
protein was subjected to gel filtration. The resulting SEC profile confirms that only minor contaminants
were present, which due to fact that they elute at a lower elution volume, might represent aggregates,
larger oligomers of solubilized AHK1, or larger micelle-protein complexes. The apparent molecular
weight of 111 kDa, calculated for the protein eluting at the main peak is somewhat lower than the
sequence-based molecular mass expected for the full-length AHK1 sensor kinase. The deviation
from the theoretical molecular mass might be related to detergent effects on the column matrix or a
non-globular fold of the purified membrane receptor. Functional folding of recombinant AHK1 was
verified by CD spectroscopy and by its ability to interact in vitro with the downstream phosphorelay
element AHP2 [36]. 3. Discussion
3. Discussion Still, the apparent size observed for the purified recombinant AHK1 suggests that
the protein elutes in a monomeric state. At first glance, this result appeared to be in disagreement with
the dimeric or higher oligomeric states observed for other plant histidine kinases such as the receptors
of the plant hormones ethylene and cytokinin [40]. Nonetheless, monomeric states of sensor histidine
kinases have been also observed in solution and crystals in the past, as in the case of chemoreceptor
Tlp1 from Campylobacter jejuni [41]. Remarkably, despite the apparent monomeric state under size exclusion chromatography
conditions, the functionality of AHK1 in terms of potential to form homodimers could be shown in
MST. The homomeric affinities of the AHK1 osmosensor strongly resemble the affinities observed for
other sensor histidine kinases like AtETR1 and AtETR2 [7]. The same experimental setup and method,
under which a dissociation constant of 208 nM was observed in this study for AHK1, showed values
of 326 nM and 96 nM for AtETR1 and AtETR2 respectively [7]. The in vitro MST results of AHK1
homomerization were confirmed by two independent in vivo approaches, namely yeast mbSUS and in
planta FRET-FLIM. The latter technique, in combination with confocal microscopy, demonstrates that
AHK1 homomerization takes places in the plasma membrane of plant cells. MST additionally revealed a high affinity interaction of AHK1 with AHP2. The dissociation
constant of 300 nM for the AHK1-AHP2 interaction is in the same Kd range as observed for the
interaction of other histidine kinases with their cognate histidine-containing phosphotransfer proteins
(HPs). Interaction of the ethylene receptor ETR1 and the histidine phosphotransfer protein AHP1
is characterized by a Kd of 1.5 µM [23], affinities for sensor kinase AHK5 with its three interactors
AHP1, AHP2, and AHP3 are in the range of 2.7 to 4.4 µM [38]. Still, the affinity of AHK1 to AHP2
is the tightest interaction observed for this type of signaling system known to date indicating strong
interaction and high stability of the related phosphorelay complex. The purified AHK1 protein also enabled us to perform in vitro auto-phosphorylation assays. However, no auto-phosphorylation was observed which we attribute to the missing AHK1 ligand in the
phosphorylation reactions. However, this did not exclude the possibility that ligand-less AHK1 may act
as P-His and/or P-Asp phosphatase, as it was, for instance, described for the cytokinin receptor AHK4
in the absence of the hormonal ligand [37]. 4.1. Cloning AHK1 was cloned into the pET16b-H10-TEV vector for expression using Gibson assembly [42]. The cDNA coding for AHP2 was cloned into a pGEX-6P-1 vector to generate a GST-fusion construct. The cDNA encoding AHK5output was cloned into the pET-DEST42 vector to generate a C-terminal
(His)6 fusion construct. (
)
The following oligonucleotides were used in the process: AHK5output-F
5‘-GGGGACAAGTTTGTACAAAAAAGCAGGCT
gtatggataacgctgtgagaaaggc-3‘
AHK5output-R
5′-GGGGACGACTTTGTACAAGAAAGCTGGGT
tgtgcaaatactgttgcaaacactc-3′
ColE1-F
5′-ggagcgaacgacctacaccgaactgagatacctacagcg-3‘
gib_pET16b-TEV-rev
5′-ATGTCCCTGAAAATACAG-3‘
gib-pET16b-AHK1-for
5′-ctgtattttcagggacatATGCGAGGAGATAGCTTC-3‘
gib-pET16b-AHK1-rev
5′-gttagcagccggatccttaAGCGGACAATGAAGTTTG-3‘
gib_pET16b-TEV-for
5′-TAAGGATCCGGCTGCTAAC-3‘
ColE1-R
5′-cgctgtaggtatctcagttcggtgtaggtcgttcgctcc -3‘ 3. Discussion
3. Discussion To test this possibility, we successfully established an in vitro
phosphorelay system consisting of the active output domain of soluble AHK5 (AHK5output) and AHP2. AHK5output was not only able to auto-phosphorylate but also to transfer phosphoryl residues onto
AHP2. Notably, AHP2 showed background labelling in the absence of AHK5output, which we attribute
to the activity of an E. coli His kinase contaminating the AHP2 sample. However, in the presence of 11 of 17 Plants 2020, 9, 304 AHK1, the 33P-auto-labelling of AHK5output and 33P-labelling of AHP2 were no longer detectable. This
observation can be explainable by an AHK1-intrinsic phospho-His and/or phospho-Asp phosphatase
activity, which, on the one hand, relays the phosphoryl residues directly from AHK5output, and on the
other hand, is also able to relay phosphoryl residues from phosphorylated AHP2 on itself. Finally,
AHK1 must lose its phosphoryl residues rapidly with a short halftime, eventually emptying the
γ-33P-ATP pool in the reaction mixture. Interestingly, we were never able to observe a heteromer
formation of full length AHK5 and AHK5output with AHK1 via mbSUS and FRET-FLIM. However, the
association of kinases and phosphatases with their target substrates can be very transient, impeding
the detection of interaction by these and other (e.g., biochemical) approaches. As AHK1 interacts with
AHP2 strongly, it is very likely that AHK1 preferentially relays the phosphoryl residues from AHP2
on itself and not from AHK5output directly. However, we cannot entirely exclude the possibility that
AHK1 also competes with AHK5output for the availability of γ-33P-ATP directly. With the purification protocol of AHK1 presented in this work a tool is provided to gain
further in-depth knowledge on phosphorelay histidine kinases and their HPs, their interactions and
physiological relevance. Moreover, with the in vitro AHK1-(AHK5output)-AHP2 phosphorelay system
it now seems possible to determine the molecular mechanism of AHK1 sensing and the identity of
the signaling molecule triggering AHK1 activity in further biochemical studies. Naturally, structural
studies on the isolated AHK1 or the AHK1-AHP2 complex are possible, too. Here, the high purity and
monodispersity of AHK1 opens systematic crystallization studies of the receptor, hopefully resulting
in the first high-resolution structure of an integral membrane plant receptor histidine kinase. 4. Materials and Methods 4.1. Cloning 4.3. Purification of Recombinant Proteins 4.3. Purification of Recombinant Proteins During the whole purification, the samples were kept on ice or at 4 ◦C. The cell pellet of the
membrane-bound protein AHK1 was resuspended in 5 mL lysis buffer L (50 mM Tris, 300 mM NaCl,
10% (w/v) glycerol, 5 mM DTT, 0.002% (w/v) phenylmethylsulfonyl fluoride (PMSF), DNaseI, pH 7.6)
per g of cell pellet. In each 50 mL of lysis buffer one tablet of protease inhibitor (cOmplete ULTRA,
EDTA-free, Roche, Basel, Switzerland) was added. The lysis was performed using a cell disruption
system (Constant Systems) at 2.4 kbar. For first removal of unwanted cell debris and inclusion
bodies, the lysate was centrifuged at 14,000 × g for 30 min. To collect the membrane fractions, the
supernatant was centrifuged for another 30 min at 40,000 × g. After resuspension, equal distribution,
and centrifugation at 34,000 × g for 30 min, the membrane pellets were frozen in liquid nitrogen
and stored at −80 ◦C. AHK1 was solubilized in 1% (w/v) FosCholine-16 in buffer A (50 mM Tris,
300 mM NaCl, 10% (w/v) glycerol, 2.5 mM DTT, 0.002% (w/v) PMSF, pH 7.6) for 1 h at 700 rpm. After
centrifugation at 230,000 × g for 30 min, another 0.002% (w/v) PMSF were added to the supernatant,
which was loaded onto a 5 mL Ni-NTA HisTrap FF column (GE Healthcare, Chicago, IL, USA) using
an ÄKTAPrime Plus system (GE Healthcare). Prior to loading, the column was equilibrated with at
least 10 bed volumes of buffer A with 0.015% (w/v) FosCholine-16. A washing step was performed
with buffer A containing 50 mM imidazole and elution followed with buffer A at 100 mM imidazole. After pooling and concentrating the samples by centrifugation with a 50 kDa Amicon Ultra-15 tube
(Merck Millipore, Darmstadt, Germany), the buffer was exchanged using a PD 10 or PD MiniTrap G-25
desalting column (GE Healthcare). The AHP2 cell pellets were resuspended with PBS buffer (140 mM NaCl, 2.7 mM KCl, 10
mM Na2HPO4, 1.8 mM KH2PO4, pH 7.3) with 0.002% (w/v) PMSF, lysed in two cycles using a
pre-cooled French pressure cell (Thermo, Waltham, MA, USA) with approximately 1 kbar (14,000
psi). After ultracentrifugation at 230,000 × g for 1 h, the supernatant was loaded on an equilibrated
GSTrap HP 5 mL column (GE Healthcare Life Sciences) using an ÄKTAPrime Plus system. 4.2. Expression of Recombinant Proteins For the expression of AHK1 the E. coli strain BL21 (DE3), containing the pRARE plasmid (Novagen,
Darmstadt, Germany), which encodes for rare tRNAs, was used. The overnight pre-culture was
inoculated with a colony picked from a 1.5% agar plate and grown in 2YT medium (5 g/L NaCl, 10 g/L
yeast extract, and 16 g/L peptone) containing ampicillin (100 µg/mL) and chloramphenicol (34 µg/mL)
as selection markers, at 37 ◦C and 180 rpm. The expression culture was inoculated to an optical density
(OD) of 0.15 measured at 600 nm in Terrific broth (TB) medium (5 g/L glycerol, 24 g/L yeast extract,
12 g/L peptone, 1.82 g/L KH2PO4, 19.76 g/L K2HPO4, and 100 µg/mL ampicillin) containing 2% (v/v) 12 of 17 Plants 2020, 9, 304 ethanol. At an OD600 of 0.3–0.35 at 37 ◦C, cultures were cooled down to 30 ◦C until they reach an
optical density of 0.4–0.45, where they were cooled down to their final expression temperature of
16 ◦C. The induction with 0.5 mM isopropyl β-d-1-thiogalactopyranoside (IPTG) was performed at
an OD600 of 0.6. Following an incubation at 16 ◦C and 180 rpm, the cells were harvested after 5 h at
7500 × g and 4 ◦C for 15 min. The cell pellets were then frozen in liquid nitrogen and stored at −20 ◦C. In contrast to AHK1, AHP2 was transformed into BL21 (DE3) Gold cells, expressed in 2YT medium
containing ampicillin (100 µg/mL) and 2% (v/v) ethanol. After reaching an OD600 of 0.4–0.5 the cultures
were cooled down to 16 ◦C and induced at an OD600 of 0.8 with 0.1 mM IPTG. The cells were grown
overnight and harvested as described above. g
For the expression of AHK5output the E. coli strain BL21 (DE3) was grown using Terrific broth (TB)
medium. The LB overnight culture was diluted with TB medium to an OD600nm of approximately 0.4. The cells were further grown for approximately 4 h at 37 ◦C until they reached the logarithmic phase
at an OD600nm of 0.6. Protein expression was induced by addition of 0.5 mM IPTG and cells were
incubated for 20 h at 20 ◦C and harvested as described above. Expression success was analyzed by SDS-PAGE and semidry Western blotting and electrogenerated
chemiluminescence (ECL) detection after immunostaining with the indicated antibodies. 4.3. Purification of Recombinant Proteins 4.5. Circular Dichroism Spectroscopy For CD spectroscopy the protein was rebuffered to the CD buffer (50 mM K2HPO4/KH2PO4,
0.015% (w/v) FosCholine-16, pH 7.6). Spectra were recorded with a protein concentration of 0.1 mg/mL
in 200 µL in a JASCO J-810 CD spectropolarimeter at room temperature. In the wavelength range
between 190 nm and 260 nm, 20 spectra were accumulated. Deconvolution was performed with the
CDPRO suite [30]. SMP65 was used as a reference data set which included 65 membrane proteins. The SOPMA analysis was performed with the full-length sequence of H10-TEV-AHK1 [32]. 4.4. Size Exclusion Chromatography Gel filtration was performed on a 10/300 Superose 6 Increase column by GE Healthcare Life
Sciences using an ÄKTAPrime Plus system. At a flow rate of 0.1 mL min-1, 100 µg of protein in a
volume of 50 µL were applied to the column via a 100 µL loop. The system was equilibrated in
buffer A with 0.015% (w/v) FosCholine-16 (see 4.3). Column calibration was performed as a four-point
calibration with thyroglobuline (669 kDa, bovine thyroid), ferritin (440 kDa, horse spleen), aldolase
(158 kDa, rabbit muscle), and ovalbumin (43 kDa, hen egg) according to the instructions from the Gel
Filtration Calibration Kit HMW (GE Healthcare Life Sciences). 4.3. Purification of Recombinant Proteins Whereas
equilibration and washing were performed with at least five bed volumes with the PBS buffer, the
protein was released by competitive binding with elution buffer E (50 mM Tris, 10 mM reduced
glutathione, pH 8.0). Concentrating (10 kDa cut-off) and buffer exchange to storage buffer (50 mM Tris,
300 mM NaCl, pH 7.6) was done as described. For storage, aliquots containing 20% (w/v) glycerol were
shock-frozen and kept at −80 ◦C. p
The AHK5output-(His)6 expressing E. coli cells were harvested by centrifugation at 4000 g for 5
min and resuspended in 10 mL pre-cooled NPI-10 buffer (50 mM NaH2PO4·H2O, 300 mM NaCl, 10
mM imidazole, pH 8.0) containing a proteinase inhibitor cocktail (Bimake). Glass beads (diameter: 13 of 17 Plants 2020, 9, 304 0.25–0.5 mm) were added and the cells were lysed by vortexing at 4 ◦C for 10 min. The lysate was
centrifuged at 4 ◦C and 15000 × g for 40 min and the supernatant subjected to native protein purification
using Ni-NTA Superflow Columns according to the manufacturer’s protocol (QIAGEN). Purification was verified by SDS-PAGE and Western blotting. 4.6. Fluorescent Labeling of Purified Protein To enable the measurement of binding studies using microscale thermophoresis, AHK1 was
labeled with the fluorophore AlexaFluor488-NHS (Invitrogen, Thermo Fisher, Waltham, MA, USA). Therefore, the protein was incubated with 2.5 × the amount of the fluorophore in a total volume of
500 µL labeling buffer (50 mM K2HPO4/KH2PO4, 300 mM NaCl, 0.015% (w/v) FosCholine-16, pH 7.6)
for 30 min in the dark during gentle agitation. The following buffer change to MST buffer 1 (50 mM
Tris, 300 mM NaCl, 0.015% (w/v) FosCholine-16, pH 7.6) was performed using a PD Mini desalting
column. After measuring the protein concentration and labeling efficiency, 20% (w/v) glycerol was
added and aliquots for the MST measurement were frozen in liquid nitrogen. 4.9. Analytical Methods Protein concentrations were determined by the bicinchoninic acid assay (Perbio Science, Bonn,
Germany) for the AHK1 sensor kinase and by the Bio-Rad protein assay (Bio-Rad, München, Germany)
for AHP2-GST using bovine serum albumin as a standard. Purification of recombinant proteins was
examined by SDS-PAGE as described by Laemmli [43] and Schägger and Jagow [44]. Proteins were
separated on 10–12% polyacrylamide gels and visualized by colloidal Coomassie staining according to
Kang et al. [45,46]. Supplementary Materials: The following are available online at http://www.mdpi.com/2223-7747/9/3/304/s1,
Figure S1. Expression of His-tagged AHK1 in BL21 (DE3) E. coli cells containing the pRARE plasmid under
different growth conditions. For analysis, the samples were separated on a 10% SDS-PAGE gel and identified
after Western blotting with an anti-his-antibody; (a) The cells were grown in 2YT medium at 30 ◦C after induction
with 0.5 mM IPTG. Samples were taken every hour and show a strong signal for possible degradation bands at
around 35 kDa. (b) E. coli cells were grown in 2YT medium at 16 ◦C and an addition of 2% ethanol. Samples were
taken every 2 h after induction with 0.5 mM IPTG and show only a faint band after 4 h. (c) The protein expression
in TB medium at 16 ◦C and the additional 2% (v/v) ethanol was sampled after 0 h, 2 h, 4 h and 5 h following
induction with 0.5 mM IPTG. Under these conditions the most prominent protein bands with the least degradation
or incomplete translated proteins were detected; Figure S2. Detergent screening for solubilization of AHK1 in 100
µL. P resembles the pellet directly after resuspension in buffer A, which was subsequently incubated with the
×-fold critical micell concentration (cmc) of the stated detergent for 1 h at 4 ◦C and 700 rpm. Detergents were
selected from the JBScreen Detergent set (Jena Bioscience). The pellet (P) and supernatant (SN) after centrifugation
at 230,000 × g for 30 min were analyzed using SDS-PAGE and Western blotting; (a) The detergents C12E8, Cymal-6
and LMNG were used at a final concentration of 7.5 × cmc, whereas OG was used in a lower concentration of 3 ×
cmc and Fos12 at 4.5 × cmc. Fos12 is the only detergent showing a band of AHK1 in the supernatant fraction. (b) Whereas HTG was tested with the 3 × cmc, the other detergents ANAPOE-X-114, LDAO and Fos16 were
tested with the 7.5 × cmc. 4.7. Interaction Studies by MST, mbSUS, and FRET-FLIM Analyses To verify the functionality of the purified proteins, the binding of AHK1 to AHP2 was measured. Therefore, the Monolith NT 115 and standard capillaries (NanoTemper Technologies, München,
Germany) were used. Furthermore, the MST power was set to 40% and the LED power to 30%. The
binding study was performed in seven measurements, whereas the negative control with denatured
protein in a duplicate. The labeled AHK1 was diluted to a final measuring concentration of 40 nM
using MST buffer 2 (50 mM HEPES, 300 mM NaCl, 0.015% (w/v) FosCholine-16.5% (w/v) glycerol,
pH 7.6). The dilution series of AHP2 from 12.5 µM to 0.4 nM was done using MST buffer 3 (50 mM
Tris, 300 mM NaCl, 5% (w/v) glycerol, pH 7.6). The labeled AHK1 was incubated with the non-labeled
AHP2 in a ratio of 1:1 resulting in the prior concentrations. After an incubation of 5 min in the dark,
the samples were loaded into the glass capillaries for the measurement. For the negative controls,
a denaturing buffer D1 (4% (w/v) SDS, 80 mM DTT in MST buffer 2 containing only 0.0075% (w/v)
FosCholine-16 in total) was added to the mixed proteins of interest. As evaluation strategy T-Jump
was used. Dimerization of AHK1 was analyzed by MST measurements, using 40% MST power and 70%
LED power. The labeled AHK1 was treated as described before. The interacting unlabeled AHK1 was
diluted in a series from 12 µM to 0.4 nM in MST buffer 4 (50 mM Tris, 300 mM NaCl, 0.015% (w/v)
FosCholine-16, 20% (w/v) glycerol, pH 7.6). After mixing the samples in a ratio of 1:1 and incubation in 14 of 17 Plants 2020, 9, 304 the dark for 5 min, they were loaded into the standard capillaries and measured. For the triplicate of
the negative control, denaturing buffer D2 (4% (w/v) SDS, 80 mM DTT, 156 mM NaCl, 26 mM Tris,
0.015% (w/v) FosCholine-16, 12.5% (w/v) glycerol, pH 7.6) was added in a ratio of 1:1 to the prior mixed
interacting proteins. For binding analysis, initial fluorescence was used. Yeast mbSUS studies were performed as described before [33]. For confocal imaging and
FRET-FLIM analyses, full-length AHK1 was expressed as C-terminal GFP and C-terminal mCherry
fusion in Agrobacterium tumefaciens-mediated transiently-transformed Nicotiana benthamiana epidermal
leaf cells according to [34]. Confocal imaging and fluorescence life measurements were done as
described before [34]. 4.8. In Vitro Phosphorylation and Phosphorelay Assays Approximately 3 µg of AHK1-(His)6, AHK5output-(His)6, and AHP2-GST were incubated at the
indicated combinations (see Figure 7) with 1.1 µl γ-33P-ATP (3700 MBq/mL; Hartmann Analytics,
Braunschweig, Germany) in a final volume of 30.1 µl TEDG buffer (50 mM Tris, 0.5 mM EDTA, 2 mM
DTT, 50 mM KCl, 5 mM MgCl2, 10% glycerol, pH 8.0) at room temperature for 30 min. The reaction was
stopped by addition of 5 µl of SDS-PAGE sample buffer. The samples were analyzed by SDS-PAGE and
the gel was subsequently imaged overnight using a radiosensitive phospho-imaging plate. Detection
was carried out using the BAS cassette of the Fluorescence Laser Imaging Scanner FLA-3000/300G
according to the manufacturer´s instructions (FUJIFILM). A Coomassie-stained SDS-PAGE gel loaded
in parallel with the same samples but in the absence of γ-33P-ATP was used as a loading control. 4.7. Interaction Studies by MST, mbSUS, and FRET-FLIM Analyses The statistical analysis was carried out with JMP 14 software available
at https://www.jmp.com. The homogeneity of variance was tested with a Brown–Forsythe test. A non-parametric Kruskal–Wallis test was then performed followed by a Dunn’s post hoc test. The boxplot representation was designed with http://shiny.chemgrid.org/boxplotr/. 4.9. Analytical Methods All authors have read and agreed to the published version of the manuscript. Funding: Research in Tübingen was funded by the Deutsche Forschungsgemeinschaft (DFG; SFB 1101, pro
B05) to K.H. Research in Düsseldorf was funded by the DFG (project 267205415 and SFB 1208, project B06) to Conflicts of Interest: The authors declare no conflict of interest. The funders had no role in the design of the
study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to
publish the results. Conflicts of Interest: The authors declare no conflict of interest. The funders had no role in the design of the
study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to
publish the results. References 1. Wuichet, K.; Cantwell, B.J.; Zhulin, I.B. Evolution and phyletic distribution of two-component signal
transduction systems. Curr. Opin. Microbiol. 2010, 13, 219–225. [CrossRef] [PubMed] 2. Grebe, T.W.; Stock, J.B. The histidine protein kinase superfamily. Adv. Microb. Physiol 1999, 41, 139–227. [CrossRef] [PubMed] 3. Urao, T.; Yamaguchi-Shinozaki, K.; Shinozaki, K. Plant histidine kinases:
An emerging picture of
two-component signal transduction in hormone and environmental responses. Sci STKE 2001, 2001,
re18. [CrossRef] [PubMed] 4. Hwang, I.; Chen, H.C.; Sheen, J. Two-component signal transduction pathways in Arabidopsis. Plant Physiol. 2002, 129, 500–515. [CrossRef] [PubMed] 5. Chen, Y.F.; Gao, Z.; Kerris, R.J.; Wang, W.; Binder, B.M.; Schaller, G.E. Ethylene receptors function as
components of high-molecular-mass protein complexes in Arabidopsis. PLoS ONE 2010, 5, e8640. [CrossRef] 5. Chen, Y.F.; Gao, Z.; Kerris, R.J.; Wang, W.; Binder, B.M.; Schaller, G.E. Ethylene receptors function as
components of high-molecular-mass protein complexes in Arabidopsis. PLoS ONE 2010, 5, e8640. [CrossRef] 5. Chen, Y.F.; Gao, Z.; Kerris, R.J.; Wang, W.; Binder, B.M.; Schaller, G.E. Ethylene receptors function as
components of high-molecular-mass protein complexes in Arabidopsis. PLoS ONE 2010, 5, e8640. [CrossRef]
6. Grefen, C.; Stadele, K.; Ruzicka, K.; Obrdlik, P.; Harter, K.; Horak, J. Subcellular localization and in vivo 6. Grefen, C.; Stadele, K.; Ruzicka, K.; Obrdlik, P.; Harter, K.; Horak, J. Subcellular localization and in vivo
interactions of the Arabidopsis thaliana ethylene receptor family members. Mol. Plant 2008, 1, 308–320. [CrossRef] 7. Berleth, M.; Berleth, N.; Minges, A.; Hansch, S.; Burkart, R.C.; Stork, B.; Stahl, Y.; Weidtkamp-Peters, S.;
Simon, R.; Groth, G. Molecular Analysis of Protein-Protein Interactions in the Ethylene Pathway in the
Different Ethylene Receptor Subfamilies. Front. Plant. Sci 2019, 10, 726. [CrossRef] 8. Hall, A.E.; Findell, J.L.; Schaller, G.E.; Sisler, E.C.; Bleecker, A.B. Ethylene perception by the ERS1 protein in
Arabidopsis. Plant Physiol. 2000, 123, 1449–1458. [CrossRef] . Wulfetange, K.; Lomin, S.N.; Romanov, G.A.; Stolz, A.; Heyl, A.; Schmulling, T. The cytokinin receptor
Arabidopsis are located mainly to the endoplasmic reticulum. Plant Physiol. 2011, 156, 1808–1818. [Cross 10. Caesar, K.; Thamm, A.M.; Witthoft, J.; Elgass, K.; Huppenberger, P.; Grefen, C.; Horak, J.; Harter, K. Evidence
for the localization of the Arabidopsis cytokinin receptors AHK3 and AHK4 in the endoplasmic reticulum. J. Exp. Bot. 2011, 62, 5571–5580. [CrossRef] 11. Hothorn, M.; Dabi, T.; Chory, J. Structural basis for cytokinin recognition by Arabidopsis thaliana histidine
kinase 4. Nat. Chem. Biol. 2011, 7, 766–768. [CrossRef] [PubMed] 12. 4.9. Analytical Methods Fos16 was not part of the JBScreen Detergent set and used in a comparable cmc to
provide better comparison. Only LDAO shows a faint band in the supernatant identified as AHK1 and still a more
prominent band in the pellet fraction, suggesting incomplete solubilization; Figure S3. Detergent screening for
solubilization of AHK1 in larger volumes of 2 mL. P resembles the pellet directly after resuspension in buffer
A, which was subsequently incubated with the ×-fold cmc of the stated detergent for 1 h at 4 ◦C and 700 rpm. The detergents were used with either 1% or 2% (w/v). The pellet (P) and supernatant (SN) after centrifugation at
230,000 × g for 30 min were analyzed using SDS-PAGE and Western blotting; (a) The detergents Na-cholate and 15 of 17 15 of 17 Plants 2020, 9, 304 CHAPS were used with 2% (w/v), whereas Fos16, DDM and Tween-20 with 1% (w/v). Fos16 is the only detergent
showing a band of AHK1 in the supernatant fraction. (b) Whilst Fos12 and LDAO were tested with 1% (w/v), Fos10
due to its higher cmc was analyzed at a final concentration of 2% (w/v). Both FosCholines show a distinct band in
the supernatant, speaking for its solubilization. LDAO also shows a more prominent band in the supernatant, but
also one remaining in the pellet, suggesting still incomplete solubilization even at a higher concentration than
before. Table S1. Analyzed detergents and their properties. Author Contributions: Conceptualization, G.G. and K.H.; methodology, A.H., M.B., T.D. and K.C.; validation,
A.H., S.M., G.G, T.D., L.R. and K.H.; formal analysis, A.H., S.M., M.B., L.R. and K.H.; investigation, A.H., S.M.,
M.B., T.D. and K.C.; resources, G.G. and K.H.; data curation, A.H., K.C. and L.R.; writing A.H., S.M., G.G. and K.H.;
visualization, S.M., A.M., T.D., K.C. and L.R.; supervision, G.G. and K.H.; project administration, G.G. and K.H.;
funding acquisition, G.G. and K.H. All authors have read and agreed to the published version of the manuscript. Author Contributions: Conceptualization, G.G. and K.H.; methodology, A.H., M.B., T.D. and K.C.; validation,
A.H., S.M., G.G, T.D., L.R. and K.H.; formal analysis, A.H., S.M., M.B., L.R. and K.H.; investigation, A.H., S.M.,
M.B., T.D. and K.C.; resources, G.G. and K.H.; data curation, A.H., K.C. and L.R.; writing A.H., S.M., G.G. and K.H.;
visualization, S.M., A.M., T.D., K.C. and L.R.; supervision, G.G. and K.H.; project administration, G.G. and K.H.;
funding acquisition, G.G. and K.H. References Chang, C.; Kwok, S.F.; Bleecker, A.B.; Meyerowitz, E.M. Arabidopsis ethylene-response gene ETR1: Similarity
of product to two-component regulators. Science 1993, 262, 539–544. [CrossRef] [PubMed] 13. Hua, J.; Sakai, H.; Nourizadeh, S.; Chen, Q.G.; Bleecker, A.B.; Ecker, J.R.; Meyerowitz, E.M. EIN4 and ERS2
are members of the putative ethylene receptor gene family in Arabidopsis. Plant Cell 1998, 10, 1321–1332. [CrossRef] [PubMed] 14. Sakai, H.; Hua, J.; Chen, Q.G.; Chang, C.; Medrano, L.J.; Bleecker, A.B.; Meyerowitz, E.M. ETR2 is an
ETR1-like gene involved in ethylene signaling in Arabidopsis. Proc. Natl. Acad. Sci. USA 1998, 95, 5812–5817. [CrossRef] 15. Inoue, T.; Higuchi, M.; Hashimoto, Y.; Seki, M.; Kobayashi, M.; Kato, T.; Tabata, S.; Shinozaki, K.; Kakimoto, T. Identification of CRE1 as a cytokinin receptor from Arabidopsis. Nature 2001, 409, 1060–1063. [CrossRef] 16 of 17 16 of 17 Plants 2020, 9, 304 16. Ueguchi, C.; Sato, S.; Kato, T.; Tabata, S. The AHK4 gene involved in the cytokinin-signaling pathway as a
direct receptor molecule in Arabidopsis thaliana. Plant Cell Physiol. 2001, 42, 751–755. [CrossRef] 17. Kakimoto, T. Perception and signal transduction of cytokinins. Annu. Rev. Plant Biol. 2003, 54, 605–627. [CrossRef] 18. Urao, T.; Yakubov, B.; Satoh, R.; Yamaguchi-Shinozaki, K.; Seki, M.; Hirayama, T.; Shinozaki, K. A
transmembrane hybrid-type histidine kinase in Arabidopsis functions as an osmosensor. Plant Cell 1999, 11,
1743–1754. [CrossRef] 19. Pischke, M.S.; Jones, L.G.; Otsuga, D.; Fernandez, D.E.; Drews, G.N.; Sussman, M.R. An Arabidopsis histidine
kinase is essential for megagametogenesis. Proc. Natl. Acad. Sci. USA 2002, 99, 15800–15805. [CrossRef] 19. Pischke, M.S.; Jones, L.G.; Otsuga, D.; Fernandez, D.E.; Drews, G.N.; Sussman, M.R. An Arabidopsis histidine
kinase is essential for megagametogenesis. Proc. Natl. Acad. Sci. USA 2002, 99, 15800–15805. [CrossRef]
20. Pham, J.; Liu, J.; Bennett, M.H.; Mansfield, J.W.; Desikan, R. Arabidopsis histidine kinase 5 regulates salt
sensitivity and resistance against bacterial and fungal infection. New Phytol. 2012, 194, 168–180. [CrossRef] 20. Pham, J.; Liu, J.; Bennett, M.H.; Mansfield, J.W.; Desikan, R. Arabidopsis histidine kinase 5 regulates salt
sensitivity and resistance against bacterial and fungal infection. New Phytol. 2012, 194, 168–180. [CrossRef] 21. Desikan, R.; Horak, J.; Chaban, C.; Mira-Rodado, V.; Witthoft, J.; Elgass, K.; Grefen, C.; Cheung, M.K.;
Meixner, A.J.; Hooley, R.; et al. The histidine kinase AHK5 integrates endogenous and environmental signals
in Arabidopsis guard cells. PLoS ONE 2008, 3, e2491. [CrossRef] [PubMed] 22. Voet-van-Vormizeele, J.; Groth, G. References High-level expression of the Arabidopsis thaliana ethylene receptor
protein ETR1 in Escherichia coli and purification of the recombinant protein. Protein Expr. Purif. 2003, 32,
89–94. [CrossRef] 23. Scharein, B.; Voet-van-Vormizeele, J.; Harter, K.; Groth, G. Ethylene signaling: Identification of a putative
ETR1-AHP1 phosphorelay complex by fluorescence spectroscopy. Anal. Biochem. 2008, 377, 72–76. [CrossRef]
[PubMed] 24. Bisson, M.M.; Groth, G. Targeting Plant Ethylene Responses by Controlling Essential Protein-Protein
Interactions in the Ethylene Pathway. Mol. Plant 2015, 8, 1165–1174. [CrossRef] [PubMed] 25. Bisson, M.M.A.; Groth, G. Research Tools: Biochemical and Biophysical Techniques for Studying Ethylene
Signaling. In Ethylene in Plants; Wen, C.K., Ed.; Springer: Amsterdam, The Netherlands, 2015; pp. 223–244. 26. Heyl, A.; Wulfetange, K.; Pils, B.; Nielsen, N.; Romanov, G.A.; Schmulling, T. Evolutionary proteomics
identifies amino acids essential for ligand-binding of the cytokinin receptor CHASE domain. BMC Evol. Biol. 2007, 7, 62. [CrossRef] [PubMed] 27. Wulfetange, K.; Saenger, W.; Schmulling, T.; Heyl, A.E. coli-based cell-free expression, purification and
characterization of the membrane-bound ligand-binding CHASE-TM domain of the cytokinin receptor
CRE1/AHK4 of Arabidopsis thaliana. Mol. Biotechnol. 2011, 47, 211–219. [CrossRef] [PubMed] 28. Johnson, W.C., Jr. Protein secondary structure and circular dichroism: A practical guide. Proteins 1990, 7,
205–214. [CrossRef] 29. Woody, R.W. Circular dichroism. In Methods in Enzymology; Elsevier: Amsterdam, The Netherlands, 1995;
Volume 246, pp. 34–71. 30. Sreerama, N.; Woody, R.W. Estimation of protein secondary structure from circular dichroism spectra:
Comparison of CONTIN, SELCON, and CDSSTR methods with an expanded reference set. Anal. Biochem. 2000, 287, 252–260. [CrossRef] 31. Garnier, J.; Gibrat, J.F.; Robson, B. GOR method for predicting protein secondary structure from amino acid
sequence. In Methods in Enzymology; Elsevier: Amsterdam, The Netherlands, 1996; Volume 266, pp. 540–553. 32
C
b t C
Bl
h t C
G
j
C
D lé
G NPS@ N t
k P
t i
S
A
l
i
T
d sequence. In Methods in Enzymology; Elsevier: Amsterdam, The Netherlands, 1996; Volume 266, pp. 540–553. 32. Combet, C.; Blanchet, C.; Geourjon, C.; Deléage, G. NPS@: Network Protein Sequence Analysis. Trends
Biochem. Sci. 2000, 25, 147–150. [CrossRef] 32. Combet, C.; Blanchet, C.; Geourjon, C.; Deléage, G. NPS@: Network Protein Sequence Analysis. Trends
Biochem. Sci. 2000, 25, 147–150. [CrossRef] 33. Grefen, C.; Obrdlik, P.; Harter, K. The determination of protein-protein interactions by the mating-based
split-ubiquitin system (mbSUS). Methods Mol. Biol. 2009, 479, 217–233. [CrossRef] 34. Ladwig, F.; Dahlke, R.I.; Stuhrwohldt, N.; Hartmann, J.; Harter, K.; Sauter, M. References Phytosulfokine Regulates
Growth in Arabidopsis through a Response Module at the Plasma Membrane That Includes CYCLIC
NUCLEOTIDE-GATED CHANNEL17, H+-ATPase, and BAK1. Plant Cell 2015, 27, 1718–1729. [CrossRef] 35. Suzuki, T.; Sakurai, K.; Ueguchi, C.; Mizuno, T. Two types of putative nuclear factors that physically interact
with histidine-containing phosphotransfer (Hpt) domains, signaling mediators in His-to-Asp phosphorelay,
in Arabidopsis thaliana. Plant Cell Physiol. 2001, 42, 37–45. [CrossRef] 36. Urao, T.; Miyata, S.; Yamaguchi-Shinozaki, K.; Shinozaki, K. Possible His to Asp phosphorelay signaling in
an Arabidopsis two-component system. FEBS Lett. 2000, 478, 227–232. [CrossRef] 17 of 17 17 of 17 Plants 2020, 9, 304 37. Mahonen, A.P.; Higuchi, M.; Tormakangas, K.; Miyawaki, K.; Pischke, M.S.; Sussman, M.R.; Helariutta, Y.;
Kakimoto, T. Cytokinins regulate a bidirectional phosphorelay network in Arabidopsis. Curr. Biol. 2006, 16,
1116–1122. [CrossRef] [PubMed] 38. Bauer, J.; Reiss, K.; Veerabagu, M.; Heunemann, M.; Harter, K.; Stehle, T. Structure-function analysis of
Arabidopsis thaliana histidine kinase AHK5 bound to its cognate phosphotransfer protein AHP1. Mol. Plant
2013, 6, 959–970. [CrossRef] [PubMed] 39. Kumar, M.N.; Jane, W.N.; Verslues, P.E. Role of the putative osmosensor Arabidopsis histidine kinase1 in
dehydration avoidance and low-water-potential response. Plant. Physiol. 2013, 161, 942–953. [CrossRef]
40. Dutta, R.; Qin, L.; Inouye, M. Histidine kinases: Diversity of domain organization. Mol. Microbiol. 1999, 34, 39. Kumar, M.N.; Jane, W.N.; Verslues, P.E. Role of the putative osmosensor Arabidopsis histidine kinase1 in
dehydration avoidance and low-water-potential response. Plant. Physiol. 2013, 161, 942–953. [CrossRef] dehydration avoidance and low-water-potential response. Plant. Physiol. 2013, 161, 942–953. [CrossRef]
40. Dutta, R.; Qin, L.; Inouye, M. Histidine kinases: Diversity of domain organization. Mol. Microbiol. 1999, 34,
633–640. [CrossRef] 40. Dutta, R.; Qin, L.; Inouye, M. Histidine kinases: Diversity of domain organization. Mol. Microbiol. 1999, 34,
633–640. [CrossRef] 41. Machuca, M.A.; Liu, Y.C.; Beckham, S.A.; Gunzburg, M.J.; Roujeinikova, A. The crystal structure of the
tandem-PAS sensing domain of Campylobacter jejuni chemoreceptor Tlp1 suggests indirect mechanism of
ligand recognition. J. Struct. Biol. 2016, 194, 205–213. [CrossRef] 42. Gibson, D.G.; Young, L.; Chuang, R.Y.; Venter, J.C.; Hutchison, C.A., 3rd; Smith, H.O. Enzymatic assembly of
DNA molecules up to several hundred kilobases. Nat. Methods 2009, 6, 343–345. [CrossRef] 43. Laemmli, U.K. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature
1970, 227, 680–685. [CrossRef] 44. Schägger, H.; von Jagow, G. References Tricine-sodium dodecyl sulfate-polyacrylamide gel electrophoresis for the
separation of proteins in the range from 1 kDa to 100 kDa. Anal. Biochem. 1987, 166, 368–379. [CrossRef] 45. Kang, D.; Suh, M.K. Highly Sensitive and Fast Protein Detection with Coomassie Brilliant Blue in Sodium
Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis. Bull. Korean Chem. Soc. 2002, 23, 1511–1512. [CrossRef] 45. Kang, D.; Suh, M.K. Highly Sensitive and Fast Protein Detection with Coomassie Brilliant Blue in Sodium
Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis. Bull. Korean Chem. Soc. 2002, 23, 1511–1512. [CrossRef]
46. Dyballa, N.; Metzger, S. Fast and sensitive colloidal coomassie G-250 staining for proteins in polyacrylamide
gels. J. Vis. Exp. 2009. [CrossRef] [PubMed] Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis. Bull. Korean Chem. Soc. 2002, 23, 1511–1512. [CrossRef]
46. Dyballa, N.; Metzger, S. Fast and sensitive colloidal coomassie G-250 staining for proteins in polyacrylamide
gels. J. Vis. Exp. 2009. [CrossRef] [PubMed] © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/). © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
|
https://openalex.org/W2279274877
|
https://eprints.soton.ac.uk/388560/1/S0007114515005073a.pdf
|
English
| null |
Composition differences between organic and conventional meat: a systematic literature review and meta-analysis
|
British journal of nutrition
| 2,016
|
cc-by
| 19,454
|
British Journal of Nutrition (2016), 115, 994–1011 doi:10.1017/S0007114515005073 British Journal of Nutrition (2016), 115, 994–1011
© The Authors 2016. This is an Open Access article, distributed under the terms of the Creative
Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted
re-use, distribution, and reproduction in any medium, provided the original work is properly cited. itish Jou nal of Nut ition ( 0 6),
5, 99
0
© The Authors 2016. This is an Open Access article, distributed under the terms of the Creative
Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted
re-use, distribution, and reproduction in any medium, provided the original work is properly cited. © The Authors 2016. This is an Open Access article, distributed under the terms of the Creative
Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted
re-use, distribution, and reproduction in any medium, provided the original work is properly cited. Composition differences between organic and conventional meat:
a systematic literature review and meta-analysis Burdge13, Smaragda Sotiraki14, Alexandros Stefanakis14, Halil Yolcu1,15,
Sokratis Stergiadis1,16, Eleni Chatzidimitriou1, Gillian Butler1, Gavin Stewart1 and Carlo Leifert1* 1Nafferton Ecological Farming Group (NEFG), School of Agriculture, Food and Rural Development, Newcastle University,
Nafferton Farm, Stocksfield, Northumberland NE43 7XD, UK
2School of Agriculture Food and Rural Development Human Nutrition Research Centre Newcastle University Agriculture ood and Rural Development, Human Nutrition Research Centre, Newcastle University, Agriculture
ewcastle upon Tyne NE1 7RU, UK 2School of Agriculture, Food and Rural Development, Human Nutrition Research Centre, Newca
Building, Kings Road, Newcastle upon Tyne NE1 7RU, UK 3School of Biology, Newcastle University, Ridley Building, Newcastle upon Tyne NE1 7RU, UK
4B
b
k C
l i
S
i
90063 T
R
d E
i
OR 97828 USA 5Food and Agriculture Division – Grassland and Forage, Norwegian Institute of Bioeconomy Research (NIBIO), Gunnars veg
6, N-6630 Tingvoll, Norway 5Food and Agriculture Division – Grassland and Forage, Norwegian Institute of Bioeconomy Research (NIBIO), Gunnars veg
6, N-6630 Tingvoll, Norway
6 6Department of Dietetics, Faculty of Human Nutrition and Consumer Sciences, Warsaw University of Life Sciences,
Nowoursynowska 159c, 02-776 Warsaw, Poland 6Department of Dietetics, Faculty of Human Nutrition and Consumer Sciences, Warsaw University of Life Sciences,
Nowoursynowska 159c, 02-776 Warsaw, Poland 7Department of Functional and Organic Food and Commodities, Faculty of Human Nutrition and Consumer Sciences,
Warsaw University of Life Sciences, Nowoursynowska 159c, 02-776 Warsaw, Poland 7Department of Functional and Organic Food and Commodities, Faculty of Human Nutrition and Consumer Sciences,
Warsaw University of Life Sciences, Nowoursynowska 159c, 02-776 Warsaw, Poland 8Department of Animal Physiology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland
9Department of Animal Medicine, Production and Health, University of Padua, Viale dell’ Università 19, 35020 Legnaro, Italy
10Department of Food Science – Food Chemistry & Technology, Aarhus University, Blichers Allé 20, Building F20/8845, 8830
l
k p
f
y
gy,
y
f
gy,
y
f
,
,
9
,
9Department of Animal Medicine, Production and Health, University of Padua, Viale dell’ Università 19, 35020 Legnaro, Italy
10Department of Food Science – Food Chemistry & Technology, Aarhus University, Blichers Allé 20, Building F20/8845, 8830
Tjele, Denmark p
f
,
,
y f
,
,
g
,
y
10Department of Food Science – Food Chemistry & Technology, Aarhus University, Blichers Allé 20, Building F20/8845, 8830
Tjele, Denmark 12Institute of Genetics and Animal Breeding, Polish Academy of Science, Jastrzębiec, Postępu 36, 05-552 Magdalenka, Poland 12Institute of Genetics and Animal Breeding, Polish Academy of Science, Jastrzębiec, Postępu 36, 05-552 Magdalenka, Poland
13Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton
SO16 6YD UK 12Institute of Genetics and Animal Breeding, Polish Academy of Science, Jastrzębiec, Postępu 36, 05-552 Magdalenka, Poland
13Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton 13Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton
SO16 6YD, UK 14National Agricultural Research Foundation (NAGREF), Veterinary Research Institute of Thessaloniki, 57001 Thermi,
Thessaloniki, Greece cational Training School, Gumushane University, 29600 Kelkit, Gumushane, Turkey 15Kelkit Aydin Vocational Training School, Gumushane University, 29600 Kelkit, Gumushane, Turkey
16Food Production and Quality Division, School of Agriculture, Policy and Development, Centre for Dairy Research, University
of Reading, PO Box 237, Earley Gate, Reading RG6 6AR, UK of Reading, PO Box 237, Earley Gate, Reading RG6 6AR, UK (Submitted 12 January 2015 – Final revision received 13 November 2015 – Accepted 18 November 2015) (Submitted 12 January 2015 – Final revision received 13 November 2015 – Accepted 18 November 2015) Abbreviations: ALA, α-linolenic acid; DMI, DM intake; DPA, docosapentaenoic acid; EU, European Union; FA, fatty acids; LA, linoleic acid; MPD, mean
percentage difference; SMD, standardised mean difference; UM, unweighted meta-analysis; VLC, very long-chain FA; WM, weighted meta-analysis.
* C
di
h
P
f
C L if
f
44 1661 831 006
il
l
l if
@
l
k * Corresponding author: Professor C. Leifert, fax +44 1661 831 006, email carlo.leifert@newcastle.ac.uk Composition differences between organic and conventional meat:
a systematic literature review and meta-analysis Dominika Średnicka-Tober1,7, Marcin Barański1, Chris Seal2, Roy Sanderson3, Charles Benbrook4,
Håvard Steinshamn5, Joanna Gromadzka-Ostrowska6, Ewa Rembiałkowska7, Krystyna Skwarło-Sońta8,
Mick Eyre1, Giulio Cozzi9, Mette Krogh Larsen10, Teresa Jordon1, Urs Niggli11, Tomasz Sakowski12,
Philip C. Calder13, Graham C. Abbreviations: ALA, α-linolenic acid; DMI, DM intake; DPA, docosapentaenoic acid; EU, European Union; FA, fatty a
percentage difference; SMD, standardised mean difference; UM, unweighted meta-analysis; VLC, very long-chain FA; WM Key words: Organic foods: Animal products: Meat: Iron: Meat fat composition: n-3 PUFA: n-6 PUFA Where possible, additional meta-analyses were carried out;
these included some individual FA, the thrombogenicity and
atherogenicity indices (which might be used to compare the
overall CVD risk associated with different meat FA profiles(19,26,27))
and a range of other composition parameters (e.g. total protein,
minerals, toxic metals), but for many of these only a small number
of data pairs (n 3–5) were available. We were therefore unable to
carry out meaningful meta-analyses for nutritionally relevant
minerals, antioxidants and vitamins found in meat. The SFA in meat, in particular lauric (12 : 0), myristic (14 : 0)
and palmitic (16 : 0) acids, are widely considered to have
negative effects on human health, as they are linked to an
increased risk of CVD in humans(10), although this is not
universally accepted(11–13). In contrast, a range of PUFA found in meat are thought to
reduce the risk of CVD(14). This includes linoleic acid (LA; the
main n-6 PUFA found in meat), α-linolenic acid (ALA, the main
n-3 PUFA found in meat) and, in particular, the very long-chain
(VLC, ≥C20) n-3 PUFA EPA, docosapentaenoic acid (DPA) and
DHA. Both LA and ALA are known to reduce LDL production
and to enhance its clearance(14), whereas VLC n-3 PUFA are
also shown to reduce arrhythmias, blood pressure, platelet
sensitivity, inflammation and serum TAG concentrations(15,16). There is also evidence of other health benefits from increasing
VLC n-3 PUFA (especially DHA) intakes, including improved
fetal brain development, delayed decline in cognitive function
in elderly men and reduced risk of dementia (especially
Alzheimer’s disease)(17). Previous meta-analyses of composition differences between
organic and conventional foods (i.e. for crops, and milk and
dairy products) have used variable inclusion criteria, data
extraction and synthesis methods(4,5,8,9,25). In the present study,
sensitivity analyses designed to identify the effect of using
different inclusion criteria, extraction and analysis methods
were therefore performed to assess the consistency of findings. Results are discussed in the context of known information on
(1) the effects of livestock management practices (especially
feeding regimens) and breed choice on meat composition and
(2) potential health impacts of composition differences between
organic and non-organic meat. Although LA may reduce CVD risk, intakes associated with
typical Western diets are thought to be too high(18). This is
mainly because LA is the precursor of the pro-inflammatory n-6
PUFA arachidonic acid (AA). In contrast, n-3 FA are considered
to have an anti-inflammatory effect(15,16,19,20). Key words: Organic foods: Animal products: Meat: Iron: Meat fat composition: n-3 PUFA: n-6 PUFA children(23). LA may also reduce the rate of conversion of ALA
to VLC n-3 PUFA in humans, because ALA and LA compete for
Δ6 desaturase enzyme activity(24). The demand for organic meat products has increased steadily
over the last 20 years(1). A major driver for this increase has
been consumer perception that organic livestock products
typically contain higher concentrations of nutritionally desirable
compounds, therefore making them ‘healthier’(2,3). However,
there is still considerable scientific uncertainty over whether,
and to what extent, organic production standards result in sig-
nificant and nutritionally relevant changes in food quality(3–6). Systematic literature reviews and meta-analyses of compara-
tive composition data for (1) crops, (2) milk and (3) milk, eggs
and meat together have been published(4,5,8,9,25), but there are Systematic literature reviews and meta-analyses of compara-
tive composition data for (1) crops, (2) milk and (3) milk, eggs
and meat together have been published(4,5,8,9,25), but there are
no published meta-analyses in which the composition of
organic and non-organic meat is compared. In this study, we
report the results of a systematic review of the literature
published before March 2014 and meta-analyses of data
designed to quantify nutritionally relevant composition para-
meters in organic and conventional meat products. no published meta-analyses in which the composition of
organic and non-organic meat is compared. In this study, we
report the results of a systematic review of the literature
published before March 2014 and meta-analyses of data
designed to quantify nutritionally relevant composition para-
meters in organic and conventional meat products. In Western European diets, meat is an important source of
protein, essential fatty acids (FA), minerals (e.g. Fe, Zn, Se, Cu)
and vitamins (e.g. vitamin A, vitamin B1, B6 and B12, riboflavin,
folate, niacin, pantothenic acid)(7). Over the last 20 years, an
increasing number of scientific studies have compared con-
centrations of nutritionally relevant compounds in meat from
organic and conventional livestock production systems. Most
comparative studies have reported data on meat fat composi-
tion, whereas there are limited published data on mineral and
vitamin concentrations(4,8,9). For meta-analyses and interpreting the overall strength of
evidence, total PUFA and n-3 PUFA concentrations were con-
sidered the primary outcome, because they are considered to
be most closely linked to potential human health outcomes
(see above). A range of other nutritionally relevant meat fat
parameters were considered secondary outcomes. Key words: Organic foods: Animal products: Meat: Iron: Meat fat composition: n-3 PUFA: n-6 PUFA In addition, high
dietary n-6 PUFA intakes have been linked to an increased risk
of other chronic diseases including certain cancers, inflamma-
tory, autoimmune and CVD(16,21) as well as shown to stimulate
adipogenesis (and thereby the risk of obesity) to a greater
extent compared with n-3 FA(22). Excessive LA intakes during
pregnancy and in the first few years of life have been linked to a
range of neurodevelopmental deficits and abnormalities in Abstract Demand for organic meat is partially driven by consumer perceptions that organic foods are more nutritious than non-organic foods. However, there have been no systematic reviews comparing specifically the nutrient content of organic and conventionally produced meat. In
this study, we report results of a meta-analysis based on sixty-seven published studies comparing the composition of organic and non-organic
meat products. For many nutritionally relevant compounds (e.g. minerals, antioxidants and most individual fatty acids (FA)), the evidence base
was too weak for meaningful meta-analyses. However, significant differences in FA profiles were detected when data from all livestock
species were pooled. Concentrations of SFA and MUFA were similar or slightly lower, respectively, in organic compared with conventional
meat. Larger differences were detected for total PUFA and n-3 PUFA, which were an estimated 23 (95 % CI 11, 35) % and 47 (95 % CI 10, 84) %
higher in organic meat, respectively. However, for these and many other composition parameters, for which meta-analyses found significant Composition of organic meat products 995 differences, heterogeneity was high, and this could be explained by differences between animal species/meat types. Evidence from controlled
experimental studies indicates that the high grazing/forage-based diets prescribed under organic farming standards may be the main reason
for differences in FA profiles. Further studies are required to enable meta-analyses for a wider range of parameters (e.g. antioxidant, vitamin
and mineral concentrations) and to improve both precision and consistency of results for FA profiles for all species. Potential impacts of
composition differences on human health are discussed. Data acquisition: literature search strategy and inclusion
criteria Data acquisition: literature search strategy and inclusion
criteria The systematic review methods are described in a previously
published meta-analysis by Barański et al.(25) focused on
identifying composition differences between organic and con-
ventional crops. The methods were based on a more detailed D. Średnicka-Tober et al. 996 publications were found by studying lists of references or
directly contacting authors of published papers and reviews
identified in the initial literature search (Fig. 1). protocol for systematic reviews of composition differences
published by Brandt et al.(28). However, the protocols used in
this study and by Barański et al.(25) differed from the detailed
protocol published by Brandt et al.(28), notably in the emphasis
on weighted meta-analysis (WM) rather than unweighted
meta-analysis (UM), which had previously been recommended
by Brandt et al.(5,28) and Dangour et al.(4). The abstracts of all publications were then examined to
determine whether they contained original data obtained by
comparing composition parameters in organic and conven-
tional beef, lamb or goat meat, pork, poultry or rabbit meat. This identified seventy-five suitable publications; of these, eight
were subsequently rejected, because they did not report
suitable data sets or contained the same data as other papers. Relevant publications were identified through an initial search
of the literature in the Web of Knowledge, Scopus, Ovid and
EBSCO, Elton B. Stephens Company (EBSCO) databases using the
following search terms: ‘organic* or ecologic* or biodynamic*’,
‘conventional* or integrated’ and ‘livestock or meat or pork or beef
or poultry or chicken or turkey or lamb or goat or rabbit’ (Fig. 1). Papers in all languages, published in peer-reviewed and non-
peer-reviewed journals, and reporting data on both desirable
and undesirable compositional parameters, were considered
relevant for inclusion in the meta-analyses. The search was
restricted to the period between 1992 (the year when legally
binding organic farming regulations were first introduced in the
European Union (EU)) and the end of the project in March 2014
and
provided
707
references. An
additional
seventeen Relevant publications were identified through an initial search
of the literature in the Web of Knowledge, Scopus, Ovid and
EBSCO, Elton B. Stephens Company (EBSCO) databases using the
following search terms: ‘organic* or ecologic* or biodynamic*’,
‘conventional* or integrated’ and ‘livestock or meat or pork or beef
or poultry or chicken or turkey or lamb or goat or rabbit’ (Fig. 1). Data acquisition: literature search strategy and inclusion
criteria Data sets were deemed suitable if data for at least one meat
composition parameter were reported. As a result, sixty-seven
publications (sixty-three peer-reviewed) were selected for data
extraction (sixteen on beef, sixteen on lamb and goat meat,
fourteen on pork, seventeen on chicken meat, three on rabbit
meat and one on non-specified meats). Papers in all languages, published in peer-reviewed and non-
peer-reviewed journals, and reporting data on both desirable
and undesirable compositional parameters, were considered
relevant for inclusion in the meta-analyses. The search was
restricted to the period between 1992 (the year when legally
binding organic farming regulations were first introduced in the
European Union (EU)) and the end of the project in March 2014
and
provided
707
references. An
additional
seventeen Data
from
forty-eight
publications
(forty-seven
peer-
reviewed) fulfilled the criteria for inclusion in the random
effects WM and UM. The additional nineteen publications
(sixteen peer-reviewed) fulfilled the criteria for inclusion in the
UM only. Initial search* (n 724)
Web of Knowledge database (years 1992–2014)
Scopus database (years 1992–2014)
Ovid database (years 1992–2014)
EBSCO database (years 1992–2014)
Lists of references and direct contact with the authors (years 1977–2014)
(n 611)
(n 19)
(n 73)
(n 4)
(n 17)
Excluded (n 649)
Publications did not present data on meat
(appropriate population) or comparison between
organic and conventional system (appropriate
comparators)
Suitable publications reviewed† (n 75)
Excluded (n 8)
Contained the same data as other studies
Report not suitable data type
Replication number was lower than 3
(n 3)
(n 1)
(n 4)
Paper did meet inclusion criteria (n 67)
Peer-reviewed journals
Non-peer-reviewed journals
(n 63)
(n 4)
Weighted meta-analysis
Papers did provide information about
number of replicates and SD or SE
(n 48)
CF (n 5)
BS (n 12)
EX (n 31)
Unweighted meta-analysis
Not all papers did provide information
about number of replicates and SD or
SE (n 67)
CF (n 5)
BS (n 20)
EX (n 42)
Fig. 1. Summary of the search and selection protocols used to identify papers included in the meta-analyses. EBSCO, Elton B. Stephens Company; CF, comparison
of matched farms; BS, basket studies; EX, controlled experiments. * Review carried out by one reviewer. † Data extraction carried out by two reviewers. Suitable publications reviewed† (n 75) Fig. 1. Summary of the search and selection protocols used to identify papers included in the meta-analyses. EBSCO, Elton B. Data acquisition: literature search strategy and inclusion
criteria Stephens Company; CF, comparison
of matched farms; BS, basket studies; EX, controlled experiments. * Review carried out by one reviewer. † Data extraction carried out by two reviewers. Composition of organic meat products 997 (3) multiple time points within the same sampling year were
averaged before use in the meta-analysis. This
represents
a
significantly
greater
evidence
base
compared with a previous systematic review of comparative
studies by Dangour et al.(4) that (1) was based on eleven
publications reporting meat composition data, (2) pooled meat,
egg and milk/dairy product composition data and (3) used
unweighted, under-powered analytical methods only. All pub-
lications included in this previous review were also used in the
random effects WM reported in this study. Two
independent
reviewers
assessed
publications
for
eligibility and extracted data. Discrepancies were detected for
approximately 4 % of the data, and in these cases extraction was
repeated following discussion. Study characteristics, summaries of methods used for sensi-
tivity analyses and ancillary information are given in the online
Supplementary Table S2–S7. They include information on
(1) the number of papers from different countries and pub-
lication years used in the meta-analyses (see online Supple-
mentary Fig. S1 and S2), (2) study type, location, meat product,
animal group and information regarding FA analysis methods
used in different studies (online Supplementary Table S2),
(3) production system information for studies with more than
two systems (online Supplementary Table S3), (4) the type of
information extracted from papers (online Supplementary
Table S4), (5) data handling and inclusion criteria and meta-
analysis methods used in sensitivity analyses (online Supple-
mentary Table S5), (6) the list of composition parameters
included in the meta-analyses (online Supplementary Table S6)
and (7) the list of composition parameters for which meta-
analyses were not possible (n < 3) (online Supplementary
Table S7). A Preferred Reporting Items for Systematic Reviews and
Meta-Analyses flow diagram illustrates the search and study
inclusion strategies (Fig. 1). Eligibility assessment was performed
by two independent reviewers, with discrepancies resolved by
consensus and reference to a third reviewer when necessary. Data extraction Data were extracted from three types of studies: (1) compar-
isons of matched farms (CF), farm surveys in which meat was
obtained from organic and conventional farms in the same
country or region; (2) basket studies (BS), retail product surveys
in which organic and conventional meats were obtained from
retail outlets; and (3) controlled experiments (EX) in which
meat was obtained from experimental animals reared according
to organic or conventional farming standards/protocols. Data
from the three study types were deemed relevant for meta-
analysis if the authors stated that (1) organic farms included in
farm surveys were using organic farming methods, (2) organic
products collected in retail surveys were labelled as organic and
(3) animals from organically reared herds used in controlled
experiments were managed according to organic farming
standards, even if animals and land used for ‘organic treatments’
in experiments were not organically certified. The online Supplementary Table S8 summarises the basic
statistics on the number of studies, individual comparisons,
organic and conventional samples sizes and comparisons
showing statistically or numerically higher concentrations in
organic or conventional meat for the composition parameters
included in Fig. 2–4. Meta-analyses Several studies compared more than one organic or conven-
tional system or treatment – for example, additional conventional
systems were described as ‘intensive’ or ‘free range’. In such
cases, a pragmatic choice was made to compare the organic with
the standard conventional (non-organic) comparator. Standard
systems were identified as closest to the typical, contemporary
organic/conventional farming system, as recommended by
Brandt et al.(5). Full references of the publications and summary
descriptions of studies included in the meta-analyses are given in
the online Supplementary Tables S1–S3. In total, six analyses were undertaken (online Supplementary
Table S5). The standard WM and UM sensitivity analysis 1
compared data only from pragmatically chosen standard
organic and conventional systems. Fig. 2–4 show the pooled
effects obtained using standard random-effects meta-analysis
weighted by inverse variance and a common random-effects
variance component and UM of differences in means. The
standard WM protocol is the primary analysis, but it is useful to
augment the results with UM (particularly to explore the impact
of including data from the studies that do not report measures of
variance, and thus a wider range of studies). Information and data were extracted from all selected
publications and compiled in a Microsoft Access database. The
database is freely available on the Newcastle University website
(http://research.ncl.ac.uk/nefg/QOF) for use and scrutiny by
others. A list of the information extracted from publications and
recorded in the database is given in the online Supplementary
Table S4. Four additional sensitivity analyses were carried out. Two
analyses (sensitivity analysis 2 and 3) were designed to identify
whether exclusion of data for comparisons with non-standard
organic or conventional systems would affect the results of the
meta-analyses; in these analyses, comparative data for all organic
and conventional production systems reported by authors were
included (see online Supplementary Table S3). In sensitivity
analysis 4, we explored the effect of excluding the 20 % of studies
with the least precise treatment effects from the WM. Data reported as numerical values in the text or tables were
copied directly into the database. Results only published in
graphical form were enlarged, printed, measured (using a ruler)
and then entered into the database as previously described(5). Data reported in the same publication for different animal
species, products, study types, countries and outcomes were
treated as independent effects. Meta-analyses n, number of data points included in meta-analyses; VLC n-3 PUFA, very long-chain n-3 PUFA; DPA, docosapentaenoic
acid; OA, oleic acid; ALA, α-linolenic acid; LA, linoleic acid; AA, arachidonic acid; SMD, standardised mean difference; ○, MPD calculated using data included in
standard unweighted meta-analyses; ▷, MPD calculated using data include in standard weighted meta-analysis; ◆, SMD with 95 % CI represented by
horizontal bars. Fig. 2. Results of the standard weighted meta-analysis and sensitivity analysis 1 for fat composition of meat (data for all animal groups included in the same analysis). * Numerical values for mean percentage difference (MPD) and 95 % CI are given in the online Supplementary Table S9. † Ln ratio = ln (ORG/CONV × 100 %). ‡ P value <0·05 indicates a significant difference between organic samples (ORG) and conventional samples (CONV). § Heterogeneity and the I 2 statistic. || Outlying
data points (where the MPD between ORG and CONV was more than fifty times greater than the mean value including the outliers) were removed. ¶ Calculated based
on published fatty acids (FA) composition data. n, number of data points included in meta-analyses; VLC n-3 PUFA, very long-chain n-3 PUFA; DPA, docosapentaenoic
acid; OA, oleic acid; ALA, α-linolenic acid; LA, linoleic acid; AA, arachidonic acid; SMD, standardised mean difference; ○, MPD calculated using data included in
standard unweighted meta-analyses; ▷, MPD calculated using data include in standard weighted meta-analysis; ◆, SMD with 95 % CI represented by
horizontal bars. A positive SMD value indicates that mean concentrations of
the observed compound were greater in the organic meat
samples, whereas a negative SMD indicates that mean con-
centrations were higher in conventional (non-organic) samples. The statistical significance of a reported effect size (i.e. SMDtot)
and CI were estimated based on standard methods(36) using
‘metafor’(32). The influence of potential moderators, particularly
(1) meat type (beef, lamb and goat, pork, rabbit or chicken
meat) and (2) study type (CF, EX, BS), were additionally tested
using
mixed-effect
models(37)
and
subgroup
analyses
(Fig. 3 and 4, and online Supplementary Fig. S3–S5). GC-based protocols and described methods in sufficient detail. Seven studies may be classified as being of lower quality, which
included two studies that used an near IR-spectroscopy method
calibrated with GC data (ID209 and ID355) and five studies that
provided only brief descriptions of the methods used (ID159,
ID407, ID560, ID570 and ID606). Meta-analyses However, data extracted from
the same publication for (1) different years, (2) different
regions, retail outlets or brands in the same country or Data reported as numerical values in the text or tables were
copied directly into the database. Results only published in
graphical form were enlarged, printed, measured (using a ruler)
and then entered into the database as previously described(5). The
suitability
of
analytical
methods
used
in
studies
contributing data for WM and UM of FA profiles was assessed,
and for most studies it was considered to be scientifically sound
for comparison of relative differences between organic and
conventional meat samples. Most studies used established Data reported in the same publication for different animal
species, products, study types, countries and outcomes were
treated as independent effects. However, data extracted from
the same publication for (1) different years, (2) different
regions, retail outlets or brands in the same country or D. Średnicka-Tober et al. 998 –80
–60
–40
–20
0
20
40
60
80
MPD*
% higher in ORG
% higher in CONV
Standard meta-analysis
Sensitivity meta-analysis 1
n
Ln ratio†
P‡
P‡
n
Heterogeneity§
Primary outcome
PUFA
n-3 FA
Secondary outcome
12 : 0 (lauric acid)
14 : 0 (myristic acid)
16 : 0 (palmitic acid)
23
<0.001
Yes (95%)
35
4.75
<0.001
<0.001
4.85
31
Yes (98%)
21
0.026
11
23
24
0.974
0.049
0.044
Yes (84%)
Yes (98%)
Yes (91%)
15
27
30
15
4.66
4.47
4.55
4.79
0.270
0.003
0.043
0.017
–
–
–
VLC n-3 PUFA (EPA+DPA+DHA)¶
Exploratory outcome
Fat
Intramuscular fat
SFA
MUFA
OA (cis-9-18 : 1)
ALA (cis-9,12,15-18 : 3)
EPA (cis-5, 8,11,14,17-20 : 5)||
DPA (cis-7,10,13,16,19-22 : 5)
DHA (cis-4,7,10,13,16,19-22 : 6)
n-6 FA
LA (cis-9,12-18 : 2)
AA (cis-5,8,11,14-20 : 4)||
LA:ALA ratio¶
n-6:n-3 ratio
–5.0
–2.5
0.0
2.5
5.0
SMD
22
0.125
Yes (89%)
34
4.45
0.012
7
0.331
Yes (79%)
9
4.44
0.065
26
0.127
Yes (92%)
38
4.59
0.103
24
<0.001
Yes (94%)
36
4.55
<0.001
22
22
13
11
14
19
23
13
–
–
–
17
0.133
Yes (97%)
32
4.42
0.004
0.079
Yes (80%)
28
4.46
0.026
19
4.61
0.461
0.077
Yes (95%)
30
4.68
0.097
0.138
Yes (94%)
27
4.56
0.016
0.008
0.403
0.007
0.246
0.010
4.80
4.58
4.82
4.68
4.70
32
20
15
22
29
Yes (97%)
Yes (95%)
Yes (92%)
Yes (75%)
Yes (96%)
0.169
0.966
0.304
0.404
0.020
Parameters
Fig. 2. Meta-analyses Results of the standard weighted meta-analysis and sensitivity analysis 1 for fat composition of meat (data for all animal groups included in the same analysis). * Numerical values for mean percentage difference (MPD) and 95 % CI are given in the online Supplementary Table S9. † Ln ratio = ln (ORG/CONV × 100 %). ‡ P value <0·05 indicates a significant difference between organic samples (ORG) and conventional samples (CONV). § Heterogeneity and the I 2 statistic. || Outlying
data points (where the MPD between ORG and CONV was more than fifty times greater than the mean value including the outliers) were removed. ¶ Calculated based
on published fatty acids (FA) composition data. n, number of data points included in meta-analyses; VLC n-3 PUFA, very long-chain n-3 PUFA; DPA, docosapentaenoic
acid; OA, oleic acid; ALA, α-linolenic acid; LA, linoleic acid; AA, arachidonic acid; SMD, standardised mean difference; ○, MPD calculated using data included in
standard unweighted meta-analyses; ▷, MPD calculated using data include in standard weighted meta-analysis; ◆, SMD with 95 % CI represented by
horizontal bars. Meta-analyses –80
–60
–40
–20
0
20
40
60
80
MPD*
% higher in ORG
% higher in CONV
Standard meta-analysis
Sensitivity meta-analysis 1
n
Ln ratio†
P‡
P‡
n
Heterogeneity§
Primary outcome
PUFA
n-3 FA
Secondary outcome
12 : 0 (lauric acid)
14 : 0 (myristic acid)
16 : 0 (palmitic acid)
23
<0.001
Yes (95%)
35
4.75
<0.001
<0.001
4.85
31
Yes (98%)
21
0.026
11
23
24
0.974
0.049
0.044
Yes (84%)
Yes (98%)
Yes (91%)
15
27
30
15
4.66
4.47
4.55
4.79
0.270
0.003
0.043
0.017
–
–
–
VLC n-3 PUFA (EPA+DPA+DHA)¶
Exploratory outcome
Fat
Intramuscular fat
SFA
MUFA
OA (cis-9-18 : 1)
ALA (cis-9,12,15-18 : 3)
EPA (cis-5, 8,11,14,17-20 : 5)||
DPA (cis-7,10,13,16,19-22 : 5)
DHA (cis-4,7,10,13,16,19-22 : 6)
n-6 FA
LA (cis-9,12-18 : 2)
AA (cis-5,8,11,14-20 : 4)||
LA:ALA ratio¶
n-6:n-3 ratio
–5.0
–2.5
0.0
2.5
5.0
SMD
22
0.125
Yes (89%)
34
4.45
0.012
7
0.331
Yes (79%)
9
4.44
0.065
26
0.127
Yes (92%)
38
4.59
0.103
24
<0.001
Yes (94%)
36
4.55
<0.001
22
22
13
11
14
19
23
13
–
–
–
17
0.133
Yes (97%)
32
4.42
0.004
0.079
Yes (80%)
28
4.46
0.026
19
4.61
0.461
0.077
Yes (95%)
30
4.68
0.097
0.138
Yes (94%)
27
4.56
0.016
0.008
0.403
0.007
0.246
0.010
4.80
4.58
4.82
4.68
4.70
32
20
15
22
29
Yes (97%)
Yes (95%)
Yes (92%)
Yes (75%)
Yes (96%)
0.169
0.966
0.304
0.404
0.020
Parameters
Fig. 2. Results of the standard weighted meta-analysis and sensitivity analysis 1 for fat composition of meat (data for all animal groups included in the same analysis). * Numerical values for mean percentage difference (MPD) and 95 % CI are given in the online Supplementary Table S9. † Ln ratio = ln (ORG/CONV × 100 %). ‡ P value <0·05 indicates a significant difference between organic samples (ORG) and conventional samples (CONV). § Heterogeneity and the I 2 statistic. || Outlying
data points (where the MPD between ORG and CONV was more than fifty times greater than the mean value including the outliers) were removed. ¶ Calculated based
on published fatty acids (FA) composition data. Meta-analyses Composition of organic meat products 999 MPD*
–80
–60
–40
–20
0
20
40
60
80 Animal groups†
% higher in CONV
% higher in ORG
Standard
meta-analysis
Sensitivity
meta-analysis 1
n
P‡
n
Ln ratio §
P‡
–5.0
–2.5
0.0
SMD
2.5
5.0
Fat
Beef
Lamb and goat meat
Pork
Poultry
Intramuscular fat
Pork
SFA
Beef
Lamb and goat meat
Pork
Poultry
12 : 0 (lauric acid)
Beef
Lamb and goat meat
14 : 0 (myristic acid)
Beef
Lamb and goat meat
Pork
Poultry
16 : 0 (palmitic acid)
Beef
Lamb and goat meat
Pork
Poultry
MUFA
Beef
Lamb and goat meat
Pork
Poultry
OA (cis-9-18 : 1)
Beef
Lamb and goat meat
Pork
Poultry
PUFA
Beef
Lamb and goat meat
Pork
Poultry
n-3 FA
Beef
Lamb and goat meat
Poultry
6
7
–
4
4
5
9
4
5
–
7
5
9
4
4
5
9
4
5
4
8
4
5
5
9
4
–
4
7
4
5
–
8
6
0.076
0.600
–
0.158
0.879
0.835
0.870
0.224
0.046
–
0.674
0.081
0.828
0.713
<0.001
0.266
0.480
0.465
0.116
0.097
0.914
0.028
<0.001
0.981
0.928
0.327
–
0.277
0.577
0.025
<0.001
–
0.878
0.027
7
11
5
9
5
8
14
6
7
4
9
6
11
4
5
7
11
5
6
7
13
6
7
6
11
5
4
7
12
6
7
7
11
8
4.35
4.58
4.57
4.35
4.55
4.57
4.61
4.56
4.60
4.49
4.70
4.45
4.61
4.46
4.14
4.58
4.61
4.57
4.40
4.53
4.60
4.58
4.45
4.62
4.59
4.57
4.38
4.76
4.73
4.69
4.85
5.01
4.70
4.83
0.080
0.400
0.432
0.074
0.281
0.231
0.357
0.045
0.433
0.125
0.192
0.046
0.442
0.189
0.066
0.202
0.491
0.063
0.190
0.016
0.383
0.208
0.007
0.349
0.156
0.189
0.060
0.006
0.019
0.270
0.009
0.008
0.070
0.162
Fig. 3. Results of the standard weighted meta-analysis and sensitivity analysis 1 for different animal groups for fat composition in meat. * Numerical values for mean
percentage difference (MPD) and 95 % CI are given in the online Supplementary Table S10. † For parameters for which n ≤3 for specific animal group, results obtained
in the meta-analyses are not shown. ‡ Ln ratio = ln (ORG/CONV × 100 %). § P value <0·05 indicates a significant difference between organic samples (ORG) and
conventional samples (CONV). Meta-analyses When these studies were
excluded from the meta-analyses (sensitivity analysis 5),
broadly
similar
results
were
obtained. However,
as
the
laboratories that carried out these five studies were reputable
institutions and to minimise publication bias, we included data
from all studies in the standard WM reported here. The results
of sensitivity analyses 2–5 are available in the Appendix on
the Newcastle University website (http://research.ncl.ac.uk/
nefg/QOF). GC-based protocols and described methods in sufficient detail. Seven studies may be classified as being of lower quality, which
included two studies that used an near IR-spectroscopy method
calibrated with GC data (ID209 and ID355) and five studies that
provided only brief descriptions of the methods used (ID159,
ID407, ID560, ID570 and ID606). When these studies were
excluded from the meta-analyses (sensitivity analysis 5),
broadly
similar
results
were
obtained. However,
as
the
laboratories that carried out these five studies were reputable
institutions and to minimise publication bias, we included data
from all studies in the standard WM reported here. The results
of sensitivity analyses 2–5 are available in the Appendix on
the Newcastle University website (http://research.ncl.ac.uk/
nefg/QOF). We carried out tests of homogeneity (Q statistics and I 2
statistics) on all summary effect sizes. Homogeneity was
indicated when I 2 was <25 % and the P value for the Q statistics
was >0·010. Funnel plots, Egger’s tests of funnel plot asymmetry
and fail-safe number tests were used to assess publication bias(38)
(see online Supplementary Table S13 for further information). Effect sizes for all WM were based on standardised mean
differences (SMD) as recommended for studies that include data
obtained by measuring the same parameters on different
scales(29,30). In the UM, the significance and magnitude of differences in
contents of the compounds were calculated using a resampling
method, where the ratio of organic means/conventional means
(X̅O/X̅C) expressed as a percentage was ln-transformed and values
used to determine if the arithmetic average of the ln-transformed
ratios was significantly greater than ln(100)(39). Reported P
values were derived from Fisher’s one-sample randomisation
test(40), and a P< 0·05 was considered to be statistically significant. Both WM and UM were carried out using the R statistical
programming environment(31). WM, with the SMD as the basic
response variable, were carried out using standard methods and
the open-source ‘metafor’ statistical package(32–35). A detailed
description of the methods and calculations is provided in the
‘Additional
Methods
and
Results’
in
the
Supplementary
Information available online. Meta-analyses n, number of data points included in the meta-analyses; OA, oleic acid; FA, fatty acids; SMD, standardised mean difference; ○, MPD
calculated using data included in standard unweighted meta-analyses; ▷, MPD calculated using data include in standard weighted meta-analysis; ◆, SMD with 95 %
CI represented by horizontal bars. Composition of organic meat products
999 MPD*
–80
–60
–40
–20
0
20
40
60
80 Animal groups†
% higher in CONV
% higher in ORG
Standard
meta-analysis
Sensitivity
meta-analysis 1
n
P‡
n
Ln ratio §
P‡
–5.0
–2.5
0.0
SMD
2.5
5.0
Fat
Beef
Lamb and goat meat
Pork
Poultry
Intramuscular fat
Pork
SFA
Beef
Lamb and goat meat
Pork
Poultry
12 : 0 (lauric acid)
Beef
Lamb and goat meat
14 : 0 (myristic acid)
Beef
Lamb and goat meat
Pork
Poultry
16 : 0 (palmitic acid)
Beef
Lamb and goat meat
Pork
Poultry
MUFA
Beef
Lamb and goat meat
Pork
Poultry
OA (cis-9-18 : 1)
Beef
Lamb and goat meat
Pork
Poultry
PUFA
Beef
Lamb and goat meat
Pork
Poultry
n-3 FA
Beef
Lamb and goat meat
Poultry
6
7
–
4
4
5
9
4
5
–
7
5
9
4
4
5
9
4
5
4
8
4
5
5
9
4
–
4
7
4
5
–
8
6
0.076
0.600
–
0.158
0.879
0.835
0.870
0.224
0.046
–
0.674
0.081
0.828
0.713
<0.001
0.266
0.480
0.465
0.116
0.097
0.914
0.028
<0.001
0.981
0.928
0.327
–
0.277
0.577
0.025
<0.001
–
0.878
0.027
7
11
5
9
5
8
14
6
7
4
9
6
11
4
5
7
11
5
6
7
13
6
7
6
11
5
4
7
12
6
7
7
11
8
4.35
4.58
4.57
4.35
4.55
4.57
4.61
4.56
4.60
4.49
4.70
4.45
4.61
4.46
4.14
4.58
4.61
4.57
4.40
4.53
4.60
4.58
4.45
4.62
4.59
4.57
4.38
4.76
4.73
4.69
4.85
5.01
4.70
4.83
0.080
0.400
0.432
0.074
0.281
0.231
0.357
0.045
0.433
0.125
0.192
0.046
0.442
0.189
0.066
0.202
0.491
0.063
0.190
0.016
0.383
0.208
0.007
0.349
0.156
0.189
0.060
0.006
0.019
0.270
0.009
0.008
0.070
0.162
Fig. 3. Results of the standard weighted meta-analysis and sensitivity analysis 1 for different animal groups for fat composition in meat. * Numerical values for mean
percentage difference (MPD) and 95 % CI are given in the online Supplementary Table S10. Meta-analyses † For parameters for which n ≤3 for specific animal group, results obtained
in the meta-analyses are not shown. ‡ Ln ratio = ln (ORG/CONV × 100 %). § P value <0·05 indicates a significant difference between organic samples (ORG) and
conventional samples (CONV). n, number of data points included in the meta-analyses; OA, oleic acid; FA, fatty acids; SMD, standardised mean difference; ○, MPD
calculated using data included in standard unweighted meta-analyses; ▷, MPD calculated using data include in standard weighted meta-analysis; ◆, SMD with 95 %
CI represented by horizontal bars. Fig. 3. Results of the standard weighted meta-analysis and sensitivity analysis 1 for different animal groups for fat composition in meat. * Numerical values for mean
percentage difference (MPD) and 95 % CI are given in the online Supplementary Table S10. † For parameters for which n ≤3 for specific animal group, results obtained
in the meta-analyses are not shown. ‡ Ln ratio = ln (ORG/CONV × 100 %). § P value <0·05 indicates a significant difference between organic samples (ORG) and
conventional samples (CONV). n, number of data points included in the meta-analyses; OA, oleic acid; FA, fatty acids; SMD, standardised mean difference; ○, MPD
calculated using data included in standard unweighted meta-analyses; ▷, MPD calculated using data include in standard weighted meta-analysis; ◆, SMD with 95 %
CI represented by horizontal bars. D. Średnicka-Tober et al. 1000 Th
l
f
bli
i
h
MPD*
–80
–60
–40
–20
0
20
40
60
8
% higher in CONV
% higher in ORG
–5.0
–2.5
0.0
SMD
2.5
5
Fig. 4. Results of the standard weighted meta-analysis and sen
percentage difference (MPD) and 95 % CI are given in the online
in the meta-analyses are not shown. ‡ Ln ratio = ln (ORG/CON
conventional samples (CONV). || Outlying data points (where the
outliers) were removed. ¶ Calculated based on published FA co
docosapentaenoic acid; VLC n-3 PUFA, very long-chain n-3 P
○, MPD calculated using data included in standard unweighted
with 95 % CI represented by horizontal bars. Meta-analyses There are currently very few publications that report com-
parative data for thrombogenicity and/or atherogenicity indices,
and all provide information on lamb and goat meat only
However, a much larger number of publications covering a
range of meat types reported sufficient data for individual
FA/groups of FA to calculate the two indices On the basis of
MPD*
–80
–60
–40
–20
0
20
40
60
80
% higher in CONV
% higher in ORG
Animal groups†
ALA (cis-9,12,15-18 : 3)
Beef
Lamb and goat meat
Pork
Poultry
EPA (cis-5,8,11,14,17-20 : 5)||
Beef
Lamb and goat meat
Poultry
DPA (cis-7,10,13,16,19-22 : 5)
Beef
Lamb and goat meat
DHA (cis-4,7,10,13,16,19-22 : 6)
Beef
Lamb and goat meat
Poultry
VLC n-3 PUFA (EPA+DPA+DHA)¶
Beef
Lamb and goat meat
n-6 FA
Beef
Lamb and goat meat
Poultry
LA (cis-9,12-18 : 2)
Beef
Lamb and goat meat
Pork
Poultry
AA (cis-5,8,11,14-20 : 4)||
Beef
Lamb and goat meat
Poultry
LA:ALA ratio¶
Beef
Lamb and goat meat
Pork
Poultry
n-6:n-3 ratio
Beef
Lamb and goat meat
Poultry
–5.0
–2.5
0.0
SMD
2.5
5.0
n
P‡
n
Ln ratio §
P‡
4
8
4
5
7
–
7
6
5
8
4
5
8
4
5
6
5
6
0.109
0.926
0.783
0.074
0.307
0.719
0.393
0.653
0.844
<0.001
0.696
0.862
0.366
0.025
0.601
0.093
0.656
8
12
5
6
5
10
4
5
8
5
10
6
5
8
7
11
6
8
10
5
6
4
8
4
7
10
5
5
9
13
5
4.69
4.46
4.18
4.59
4.68
4.38
4.28
4.80
4.55
4.63
4.70
4.68
4.70
4.65
4.88
4.62
4.61
4.70
5.00
4.44
4.75
4.87
4.77
5.01
4.45
4.44
5.03
4.66
4.61
4.90
4.96
0.003
0.017
0.504
0.433
0.029
0.135
0.312
0.029
0.088
0.063
0.103
0.298
0.030
0.197
0.488
0.372
0.015
0.354
0.120
0.307
0.312
0.438
0.245
0.188
0.025
0.058
0.291
0.471
0.002
0.058
0.370
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
Standard
meta-analysis
Sensitivity
meta-analysis 1
Fig. 4. Results of the standard weighted meta-analysis and sensitivity analysis 1 for different animal groups for fat composition in meat. * Numerical values for mean
percentage difference (MPD) and 95 % CI are given in the online Supplementary Table S10. Meta-analyses † For parameters for which n ≤3 for specific animal group, results obtained
in the meta-analyses are not shown. ‡ Ln ratio = ln (ORG/CONV × 100 %). § P value <0·05 indicates a significant difference between organic samples (ORG) and
conventional samples (CONV). || Outlying data points (where the MPD between ORG and CONV was more than fifty times greater than the mean value including the
outliers) were removed. ¶ Calculated based on published FA composition data. n, number of data points included in the meta-analyses; ALA, α-linolenic acid; DPA,
docosapentaenoic acid; VLC n-3 PUFA, very long-chain n-3 PUFA; FA, fatty acids; LA, linoleic acid; AA, arachidonic acid; SMD, standardised mean difference;
○, MPD calculated using data included in standard unweighted meta-analyses; ▷, MPD calculated using data include in standard weighted meta-analysis; ◆, SMD
with 95 % CI represented by horizontal bars. Meta-analyses There are currently very few publications that report com-
parative data for thrombogenicity and/or atherogenicity indices
However, a much larger number of publications covering a
range of meat types reported sufficient data for individual
MPD*
–80
–60
–40
–20
0
20
40
60
80
% higher in CONV
% higher in ORG
Animal groups†
ALA (cis-9,12,15-18 : 3)
Beef
Lamb and goat meat
Pork
Poultry
EPA (cis-5,8,11,14,17-20 : 5)||
Beef
Lamb and goat meat
Poultry
DPA (cis-7,10,13,16,19-22 : 5)
Beef
Lamb and goat meat
DHA (cis-4,7,10,13,16,19-22 : 6)
Beef
Lamb and goat meat
Poultry
VLC n-3 PUFA (EPA+DPA+DHA)¶
Beef
Lamb and goat meat
n-6 FA
Beef
Lamb and goat meat
Poultry
LA (cis-9,12-18 : 2)
Beef
Lamb and goat meat
Pork
Poultry
AA (cis-5,8,11,14-20 : 4)||
Beef
Lamb and goat meat
Poultry
LA:ALA ratio¶
Beef
Lamb and goat meat
Pork
Poultry
n-6:n-3 ratio
Beef
Lamb and goat meat
Poultry
–5.0
–2.5
0.0
SMD
2.5
5.0
n
P‡
n
Ln ratio §
P‡
4
8
4
5
7
–
7
6
5
8
4
5
8
4
5
6
5
6
0.109
0.926
0.783
0.074
0.307
0.719
0.393
0.653
0.844
<0.001
0.696
0.862
0.366
0.025
0.601
0.093
0.656
8
12
5
6
5
10
4
5
8
5
10
6
5
8
7
11
6
8
10
5
6
4
8
4
7
10
5
5
9
13
5
4.69
4.46
4.18
4.59
4.68
4.38
4.28
4.80
4.55
4.63
4.70
4.68
4.70
4.65
4.88
4.62
4.61
4.70
5.00
4.44
4.75
4.87
4.77
5.01
4.45
4.44
5.03
4.66
4.61
4.90
4.96
0.003
0.017
0.504
0.433
0.029
0.135
0.312
0.029
0.088
0.063
0.103
0.298
0.030
0.197
0.488
0.372
0.015
0.354
0.120
0.307
0.312
0.438
0.245
0.188
0.025
0.058
0.291
0.471
0.002
0.058
0.370
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
Standard
meta-analysis
Sensitivity
meta-analysis 1
Fig. 4. Results of the standard weighted meta-analysis and sensitivity analysis 1 for different animal groups for fat composition in meat. * Numerical values for mean
percentage difference (MPD) and 95 % CI are given in the online Supplementary Table S10. † For parameters for which n ≤3 for specific animal group, results obtained
in the meta-analyses are not shown. ‡ Ln ratio = ln (ORG/CONV × 100 %). Estimation of fatty acid intakes Estimation of fatty acid intakes Estimation of fatty acid intakes Forest plots were constructed to show pooled SMD and
corresponding 95 % CI for all compositional parameters inves-
tigated. Additional forest plots were presented for selected Intakes were estimated for FA parameters for which WM based
on pooled data from all meat types had detected significant Table 1. Grading of Recommendations Assessments, Development and Evaluation (GRADE) assessment of the strength of evidence for standard
weighted meta-analysis for parameters shown in Fig. 2
(Standardised mean difference (SMD) values and 95 % confidence intervals) weighted meta-analysis for parameters shown in Fig. 2
(Standardised mean difference (SMD) values and 95 % confidence intervals)
Parameters
SMD
95 % CI
Effect magnitude* Inconsistency† Precision‡ Publication bias§ Overall reliability||
Fat composition
Fat
−0·35
−0·80, 0·10
Small
Low
Poor
Medium
Low
Intramuscular fat
−0·25
−0·74, 0·25
Small
Low
Moderate
Strong
Low
SFA
−0·35
−0·79, 0·10
Small
Medium
Poor
No
Moderate
12 : 0 (lauric acid)
−0·01
−0·55, 0·53
Small
Low
High
Medium
Moderate
14 : 0 (myristic acid)
−1·02
−2·09, 0·04
Moderate
High
Poor
Strong
Very low
16 : 0 (palmitic acid)
−0·47
−0·96, 0·02
Small
Low
Poor
Strong
Very low
MUFA
−1·01
−1·57, −0·45
Moderate
High
Moderate
Medium
Moderate
OA (cis-9-18 : 1)
−0·48
−1·12, 0·16
Small
Low
Poor
Medium
Low
PUFA
1·15
0·51, 1·80
Moderate
High
Moderate
Medium
Moderate
n-3 FA
1·31
0·16, 2·45
Moderate
Medium
Poor
Strong
Low
ALA (cis-9,12,15-18 : 3)
0·73
−0·27, 1·73
Small
High
Poor
Strong
Very low
EPA (cis-5,8,11,14,17-20 : 5)¶
0·02
−0·85, 0·90
Small
High
Moderate
Strong
Very low
DPA (cis-7,10,13,16,19-22 : 5)
0·40
−0·36, 1·17
Small
Low
Moderate
Strong
Low
DHA (cis-4,7,10,13,16,19-22 : 6)
0·22
−0·17, 0·61
Small
Medium
High
Strong
Low
VLC n-3 PUFA (EPA + DPA + DHA)**
–
–
–
–
–
–
–
n-6 FA
0·97
0·15, 1·78
Moderate
High
Moderate
Strong
Low
LA (cis-9,12-18 : 2)
0·65
−0·01, 1·30
Small
Medium
Poor
Medium
Low
AA (cis-5,8,11,14-20 : 4)¶
0·45
−0·05, 0·94
Small
Medium
Poor
Medium
Low
LA:ALA ratio**
–
–
–
–
–
–
–
n-6:n-3 ratio
−0·75
−1·72, 0·23
Moderate
High
Poor
Medium
Low
OA, oleic acid; FA, fatty acids; ALA, α-linolenic acid; DPA, docosapentaenoic acid; VLC n-3 PUFA, very long-chain n-3 PUFA; LA, linoleic acid; AA, arachidonic acid. * Study quality was considered low because of high risks of bias and potential for confounding. Meta-analyses § P value <0·05 indicates a significant difference between organic samples (ORG) and
conventional samples (CONV). || Outlying data points (where the MPD between ORG and CONV was more than fifty times greater than the mean value including the
outliers) were removed. ¶ Calculated based on published FA composition data. n, number of data points included in the meta-analyses; ALA, α-linolenic acid; DPA,
docosapentaenoic acid; VLC n-3 PUFA, very long-chain n-3 PUFA; FA, fatty acids; LA, linoleic acid; AA, arachidonic acid; SMD, standardised mean difference;
○, MPD calculated using data included in standard unweighted meta-analyses; ▷, MPD calculated using data include in standard weighted meta-analysis; ◆, SMD
with 95 % CI represented by horizontal bars. Fig. 4. Results of the standard weighted meta-analysis and sensitivity analysis 1 for different animal groups for fat composition in meat. * Numerical values for mean
percentage difference (MPD) and 95 % CI are given in the online Supplementary Table S10. † For parameters for which n ≤3 for specific animal group, results obtained
in the meta-analyses are not shown. ‡ Ln ratio = ln (ORG/CONV × 100 %). § P value <0·05 indicates a significant difference between organic samples (ORG) and
conventional samples (CONV). || Outlying data points (where the MPD between ORG and CONV was more than fifty times greater than the mean value including the
outliers) were removed. ¶ Calculated based on published FA composition data. n, number of data points included in the meta-analyses; ALA, α-linolenic acid; DPA,
docosapentaenoic acid; VLC n-3 PUFA, very long-chain n-3 PUFA; FA, fatty acids; LA, linoleic acid; AA, arachidonic acid; SMD, standardised mean difference;
○, MPD calculated using data included in standard unweighted meta-analyses; ▷, MPD calculated using data include in standard weighted meta-analysis; ◆, SMD
with 95 % CI represented by horizontal bars. However, a much larger number of publications covering a
range of meat types reported sufficient data for individual
FA/groups of FA to calculate the two indices. On the basis of There are currently very few publications that report com-
parative data for thrombogenicity and/or atherogenicity indices,
and all provide information on lamb and goat meat only. Composition of organic meat products 1001 those reported data, we calculated values of the thrombogeni-
city and atherogenicity indices as follows: results to illustrate heterogeneity between subgroups based on
types of meat (see online Supplementary Fig. S6–S35). Meta-analyses The mean percentage difference (MPD) was calculated for all
parameters for which statistically significant effects were
detected by either WM or UM. This was carried out to facilitate
value judgements regarding the biological importance of the
relative effect magnitudes using the calculations described by
Barański et al.(25). Thrombogenicity index ¼
14 : 0 + 16 : 0 + 18 : 0
ð05 ´ MUFAÞ + ð05 ´ n-6 PUFAÞ +
ð3 ´ n-3 PUFAÞ + ðn-3:n-6 PUFAÞ
;
Atherogenicity index ¼ 12 : 0 + ð4 ´ 14 : 0Þ + 16 : 0
MUFA + PUFA
: Thrombogenicity index ¼
14 : 0 + 16 : 0 + 18 : 0
ð05 ´ MUFAÞ + ð05 ´ n-6 PUFAÞ +
ð3 ´ n-3 PUFAÞ + ðn-3:n-6 PUFAÞ
; Atherogenicity index ¼ 12 : 0 + ð4 ´ 14 : 0Þ + 16 : 0
MUFA + PUFA
: We calculated MPD for data pairs included in both the WM and
the UM in order to estimate the impact of excluding data for which
no measures of variance were reported on the magnitude of dif-
ference. As the MPD can be expressed as ‘% higher’ in conven-
tional or organic meat, they provide estimates for the magnitude of
composition differences that are easier to relate to existing infor-
mation on potential health impacts of changing dietary intakes for
individual or groups of compounds than the SMD values. The
95 % CI for MPD were estimated using a standard method(36). For the thrombogenicity index fifteen data points (three for
beef, seven for lamb and goat meat, two for pork and three for
chicken meat) and for the atherogenicity index thirteen data
points (three for beef, eight for lamb and goat meat, one for
pork and one for rabbit meat) were available. We carried out
separate
meta-analyses
for
the
published
and
calculated
estimates of the two indices (Fig. 2 and 4; online Supplementary
Tables S9–S11 and Fig. S5). For all parameters (thrombogenicity
index, atherogenicity index, total VLC n-3 PUFA, LA:ALA ratio)
that were calculated based on published information it was only
possible to carry out UM (Fig. 2–4), as measures of variance
were not available. An overall assessment of the strength of evidence was made
using an adaptation of the Grading of Recommendations Assess-
ment, Development and Evaluation (GRADE)(41) system (Table 1). ,
sistency was based on the measure of heterogeneity and consistency of effect direction sensu GRADE. Estimation of fatty acid intakes These values were then
used to calculate mean FA concentrations in different meat
types. These means were then used to calculate total FA intakes
from organic and conventional meats using (1) published data
on fat consumption from different meat types in the EU(42) and
(2) for mean concentrations of total FA esters in organic and
conventional meats (Fig. 3 and 4). MPD in FA intakes between
organic
and
conventional
meats
was
then
calculated
(see Table 2). It should be pointed out that the European fat
consumption data were based on means from all EU countries,
whereas means for FA concentrations in organic and conven-
tional meats were based on published data from eight EU
countries (Germany, Denmark, Spain, France, UK, Italy, Poland,
Sweden; contributing approximately 70 % of data) and seven
countries from outside the EU (Switzerland, Brazil, Republic of
Korea, Turkey, Taiwan, Province of China, USA, Uruguay). Estimates of FA intakes for specific countries were not possible
owing to a lack of published data (comparative studies for all
different meat types were not available for any one country). individual studies were available for WM of SFA contents in
chicken meat and that results differed between studies and/or
countries/regions. Three studies (from the UK and Italy) reported
no significant difference, whereas two others (from the Republic of
Korea and the USA) reported significantly lower SFA concentra-
tions in organic chicken meat (online Supplementary Table S9). For MUFA, WM detected significantly lower concentrations for
pork and chicken only (Fig. 3 and online Supplementary Fig. S14). However, it should be noted that only three and five individual
studies were available for WM of MUFA contents in pork and
chicken meat, respectively. For pork, results differed between
studies and/or countries/regions; one study (from Poland) reported
no significant difference, and two (from the Republic of Korea and
Sweden) studies reported significantly lower MUFA concentrations
in organic meat (online Supplementary Table S14). For chicken
meat, all five studies (from the UK, Italy, Republic of Korea and the
USA) reported significantly lower MUFA concentrations in organic
chicken meat (online Supplementary Table S14). For PUFA, significantly higher concentrations were detected for
pork and chicken meat, but not for beef and lamb and goat meat
(Fig. 3 and online Supplementary Fig. S19). Estimation of fatty acid intakes However, we considered large effects to mitigate this sensu GRADE; large effects
were defined as >20 %, moderate effects 10–20 and small <10 %. † Inconsistency was based on the measure of heterogeneity and consistency of effect direction sensu GRADE. ‡ Precision was based on the width of the pooled effect CI and the extent of overlap in substantive interpretation of effect magnitude sensu GRADE. § Publication bias was assessed using visual inspection of funnel plots, the Egger’s test, two-tests of fail-safe N and trim and fill (see online Supplementary Table S13). Overall
publication bias was considered high when indicated by two or more methods, moderate when indicated by one method and low when no methods suggested publication bias. || Overall quality of evidence was then assessed across domains as in standard GRADE appraisal; high when there was very high confidence that the true effect lies close to that of
the estimate, moderate when there was moderately confidence in effect estimate and the true effect is likely to be close to the estimate but there is a possibility that it is
substantially different, low when the confidence in the effect estimate was limited and the true effect may be substantially different from the estimate, very low when there was very
little confidence in the effect estimate and the true effect is likely to be substantially different from the estimate. ¶ Outlying data pairs (where the mean percentage difference between organic and conventional meat samples was over fifty times greater than the mean value including outliers)
were removed. ** Calculated based on published FA composition data. weighted meta-analysis for parameters shown in Fig. 2
(Standardised mean difference (SMD) values and 95 % confidence intervals) SMD
95 % CI
Effect magnitude* Inconsistency† Precision‡ Publication bias§ Overall reliability|| OA, oleic acid; FA, fatty acids; ALA, α-linolenic acid; DPA, docosapentaenoic acid; VLC n-3 PUFA, very long-chain n-3 PUFA; LA, linoleic acid; AA, arachidonic acid. * Study quality was considered low because of high risks of bias and potential for confounding. However, we considered large effects to mitigate this sensu GRADE; large effects
were defined as >20 % moderate effects 10 20 and small <10 % D. Średnicka-Tober et al. 1002 differences between organic and conventional meat. All FA data
extracted from the original publications were converted into a
common unit (g/100 g total FA esters). Characteristics of studies and data included in the
meta-analyses The WM and UM were based on data from sixty-three peer-
reviewed papers and four non-peer-reviewed studies, including
publications reporting farm surveys (five papers), controlled
experiments (forty-two papers) and BS (twenty papers). Most of the eligible studies were from Europe, mainly from
Spain, UK, Italy, Sweden, Poland and Germany, with most of
the others coming from the USA and Brazil (online Supple-
mentary Table S2 and Fig. S2). Publications reported data on
373 different composition parameters, but the majority of
studies (thirty-nine papers) focused on meat fat composition
parameters (online Supplementary Tables S6 and S7). In
contrast, relatively few studies (thirteen papers) reported data
on mineral nutrients, toxic metals and/or other composition
parameters. Meta-analyses were carried out on 122 meat-quality
parameters (online Supplementary Tables S6 and S7). When data for all meat types were analysed together, WM
identified significantly lower concentrations of the SFA myristic
acid (14 : 0) and palmitic acid (16 : 0) in organic compared with
conventional meat. The MPD were −18 (95 % CI −32, −5) % for
myristic acid and −11 (95 % CI −28, 5) % for palmitic acid (Fig. 2). When data for different meat types were analysed separately,
WM detected significantly lower 14 : 0 concentrations for organic
chicken meat only (Fig. 3 and online Supplementary Fig. S11). However, it should be noted that only four studies were
available for WM of PUFA in chicken meat and that results dif-
fered between studies and/or countries/regions; two studies
(both from the UK) reported no significant difference, whereas
two others studies (from the UK and Republic of Korea) reported
significantly lower 14 : 0 concentrations in organic chicken meat
(online Supplementary Fig. S11). Estimation of fatty acid intakes However, it should be
noted that only four and five individual studies were available for
WM of PUFA contents in pork and chicken meat, respectively, and
for both pork and chicken meat results differed between studies
and/or countries/regions (online Supplementary Table S19). For
pork, one study (from Sweden) reported no significant differences
and two studies (from the Republic of Korea and Poland) reported
significantly higher PUFA concentrations in organic meat. For
chicken meat, two studies (from the UK and Italy) reported no
significant differences, whereas three studies (from the UK,
Republic of Korea and the USA) reported significantly higher PUFA
in organic chicken meat (online Supplementary Table S19). Composition of organic and conventional meat products Estimated fatty acids (mg/person per d) intake from organic (ORG) and conventional (CONV) meat based on FAO’s fat supply quantity data(42) for bovine meat, pig meat, sheep and goat meat and
poultry meat in the European Union, calculated using the data included in the unweighted meta-analysis shown in Fig. 2
Consumption associated with
Beef*
Lamb and goat meat†
Pork‡
Chicken meat§
Total meat
Parameters
ORG
CONV
MPD
ORG
CONV
MPD
ORG
CONV
MPD
ORG
CONV
MPD
ORG
CONV
MPD
SFA
1518
1507
1
527
528
0
6648
6868
−3
1408
1419
−1
10 100
10 322
−2
14 : 0 (myristic acid)
59
66
−12
60
61
−2
217
252
−16
27
41
−50
363
420
−16
16 : 0 (palmitic acid)
709
715
−1
252
254
−1
4238
4368
−3
993
999
−1
6191
6337
−2
MUFA
1307
1395
−7
406
414
−2
8229
8417
−2
1587
1858
−17
11 528
12 083
−5
PUFA
525
455
15
142
132
8
2930
2561
14
1482
1200
24
5080
4348
17
n-3 PUFA
128
78
64
41
40
2
419
360
16
161
136
19
748
613
22
n-6 PUFA
290
277
5
94
95
−1
4400
3637
21
1396
1100
27
6180
5110
21
MPD, mean percentage difference. * Calculated assuming an average fat consumption from bovine meat of 3·5 g/person per d. † Calculated assuming an average fat consumption from sheep and goat meat of 1·2 g/person per d. ‡ Calculated assuming an average fat consumption from pig meat of 19·1 g/person per d. § Calculated assuming an average fat consumption from poultry meat of 4·7 g/person per d. studies were available for WM of n-3 PUFA in chicken meat and
that results differed between studies and/or countries/regions;
two studies (both from the UK) reported no significant difference,
whereas four other studies (from the UK, Italy, Republic of Korea
and the USA) reported significantly higher n-3 PUFA in organic
chicken meat (online Supplementary Fig. S11). WM detected no significant differences for CLA, EPA, DPA and
DHA, a range of other SFA, MUFA and PUFA and the
n-6:n-3 ratio (Fig. 2 and online Supplementary Table S12). UM were carried out as ‘sensitivity analyses’ to estimate the
extent to which an increase in the evidence base (inclusion of
publications in which no measures of variance were reported)
would identify additional composition differences. Composition of organic and conventional meat products When data for
different meat types were pooled, UM results were similar to those
obtained by WM for total SFA, MUFA and PUFA and for
n-3 PUFA, n-6 PUFA, 14 :0 and 16 :0 (Fig. 2). However, different
to the WM, the UM-based sensitivity analyses also detected sig-
nificant differences for a range of other fat composition para-
meters. Specifically, UM detected (1) lower total fat and oleic acid
concentrations, (2) higher ALA, DPA and total VLC n-3 PUFA
(EPA+DPA+DHA) concentrations, (3) a lower n-6:n-3 PUFA
ratio and (4) a lower thrombogenicity index in organic meat (Fig. 2; online Supplementary Table S9). For individual meat types, UM (sensitivity analysis 1) allowed
comparisons for a wider range of composition parameters for all
meat types and detected additional differences between organic
and conventional meats (Fig. 3). This included (1) lower 14 :0 and
MUFA but higher PUFA, n-3 PUFA, EPA, DPA and total
VLC n-3 PUFA concentrations in beef, (2) higher PUFA and ALA
concentrations in lamb and goat meat and (3) lower SFA
concentrations in organic pork (Fig. 3). MPD, mean percentage difference. * Calculated assuming an average fat consumption from bovine meat of 3·5 g/person per d. † Calculated assuming an average fat consumption from sheep and goat meat of 1·2 g/person per d. ‡ Calculated assuming an average fat consumption from pig meat of 19·1 g/person per d. § Calculated assuming an average fat consumption from poultry meat of 4·7 g/person per d. Estimation of fatty acid intakes from organic and conven-
tional meats. Accurate comparisons of FA intakes between
organic and conventional meats are currently not possible, due
to (a) the contrasting pattern of total meat and types of meat
(e.g. beef, lamb, pork, chicken meat) consumed in different
countries and (b) lack of sufficient comparative data sets to
estimate FA composition difference for specific countries. This
makes it impossible to carry out country-specific intake esti-
mates. Estimates of FA intakes were therefore calculated using
published meat fat consumption data for the EU and mean FA
composition data obtained from the systematic literature
review. Moreover, intake estimates were only carried out for FA
parameters for which relatively large data sets (n > 20) were
available and for which the WM had detected significant dif-
ferences between organic and conventional meat (Table 2). Composition of organic and conventional meat products Fat composition. When data for all meat types were analysed
together, WM detected significant differences in FA profiles
between organic and conventional meat (Fig. 2). Organic meat
had similar SFA, lower MUFA and higher PUFA concentrations
compared with conventional meat. The MPD (calculated based
on data used for the WM) were −8 (95 % CI −13, −4) % for MUFA
and 23 (95 % CI 11, 35) % for PUFA, respectively (Fig. 2 and
online Supplementary Table S9). For 16 : 0, WM detected no significant difference for all indi-
vidual meat types (Fig. 3 and online Supplementary Fig. S12). When data for all meat types were analysed together, WM
detected significantly higher n-3 and n-6 concentrations in organic
compared with conventional meat (Fig. 2). The MPD (calculated
based on the data used for the WM) were 47 (95% CI 10, 84) %
for n-3 PUFA and 16 (95 % CI 2, 31)% for n-6 PUFA, respectively. When data for all meat types were analysed together, WM
detected significantly higher n-3 and n-6 concentrations in organic
compared with conventional meat (Fig. 2). The MPD (calculated
based on the data used for the WM) were 47 (95% CI 10, 84) %
for n-3 PUFA and 16 (95 % CI 2, 31)% for n-6 PUFA, respectively. When data for different meat types were analysed separately,
WM detected significantly higher concentrations of total n-3
PUFA in organic chicken meat only (Fig. 3 and online Supple-
mentary Fig. S20). However, it should be noted that only six When data for different meat types were analysed separately, no
differences in SFA were detected for beef, lamb and goat meat and
pork, but WM detected slightly but significantly lower SFA
concentrations in organic chicken meat (Fig. 3 and online Sup-
plementary Fig. S9). However, it should be noted that only five When data for different meat types were analysed separately,
WM detected significantly higher concentrations of total n-3
PUFA in organic chicken meat only (Fig. 3 and online Supple-
mentary Fig. S20). However, it should be noted that only six 1003 Composition of organic meat products Table 2. Discussion Heterogeneity was high (I 2 > 75 %) for nearly all composition
parameters, with I 2 ranging from 79 % for fat content to 98 % for
14 : 0 and n-3 PUFA concentrations (Fig. 2). Results of the meta-analyses reported in this study indicate for
the first time that there are significant and nutritionally mean-
ingful composition differences between organic and non-organic
meat. This contradicts the results of a previous literature review
by Dangour et al.(4), which pooled comparative data for meat,
eggs, milk and dairy products in their analyses and concluded
that overall there are no significant composition differences
between organic and conventional livestock products (meat,
dairy products and eggs). However, results for specific para-
meters reported in this study were variable, and both previous
reviews(4,9) covering livestock products and the present study
acknowledge serious deficiencies in the evidence, which result
in considerable uncertainty. Plausible mechanistic explanations
for the findings in this study are discussed below. When meta-analysis results obtained from different study
types (BS, CF and EX) were compared, broadly similar results
were obtained for most of the composition parameters included
in Fig. 2 (see online Supplementary Fig. S3–S5). However, there
was considerable variation between results for different meat
types or studies carried out in different countries (see Fig. 3 and
online Supplementary Fig. S6–S35). Non-weighted MPD were calculated to aid the biological
interpretation of effect size magnitude where either the
weighted or UM had identified statistically significant differ-
ences. For many parameters, MPD based on all the available
data produced values very similar to those calculated using only
data for which measures of variance were reported (those used
for the WM; Fig. 2). However, for some parameters (n-3 PUFA,
ALA), inclusion criteria had a moderate effect on the MPD. Meta-analysis results suggesting that certain organic meats
(beef, lamb and pork) have higher concentrations of PUFA and
n-3 PUFA are broadly consistent with results from controlled
animal experiments that studied the effect of grazing or high-
forage diets and the use of legume-rich forages (both of which
are typically used in organic production) on meat quality(43–45). Strength of evidence The overall assessment of the strength of evidence based on
WM using an adapted GRADE(41) approach highlighted strong
uncertainties, with the overall strength of evidence being very
low or low for most composition parameters, and moderate
overall reliability was found only for 12 : 0, SFA, MUFA and
PUFA concentrations (Table 1). Minerals, toxic metals and other composition parameters. Compared with fat composition parameters, relatively few
comparative data sets were available for meta-analyses of
minerals (e.g. Fe, Se, Zn), toxic metals (e.g. As, Pb, Cd) and
other composition parameters (including protein, vitamins and
pesticides) in meat (online Supplementary Tables S6, S7 and
S12). The meta-analyses detected some significant effects (e.g. for Cu), but these are not presented in detail in this study,
because of the high level of uncertainty associated with
meta-analysis results based on data from a very few studies. In general, there were substantial issues with study quality
and reporting measures of variance, which were not generally
mitigated by large effects. Inconsistency was high and precision
was low. Strong or medium funnel plot asymmetry consistent
with publication biases was also apparent for many parameters
(see online Supplementary Table S13). However, it is not
possible to definitely attribute discrepancies between large
precise studies and small imprecise studies to publication bias,
which remains strongly suspected rather than detected where
asymmetry is severe. Composition of organic and conventional meat products Intakes of total SFA and palmitic acid had similar numerical
values, whereas values for myristic acid (14 : 0) were lower with
organic meat consumption (Table 2). Larger differences in
numerical values were found for beef (−12 %), pork (−16 %) and
chicken (−50 %), and overall the intake of myristic acid was
estimated to be 16 % lower based on average meat consump-
tion pattern in the EU (Table 2). Intakes of total MUFA with meat were estimated to be similar
(−5 %) based on average meat consumption pattern in the EU
(Table 2). D. Średnicka-Tober et al. 1004 total n-3, for which non-significant differences were detected in
some of the sensitivity analyses (see http://research.ncl.ac.uk/
nefg/QOF for detailed results of the sensitivity analyses). Larger numerical differences in intakes were calculated for
total PUFA, n-3 PUFA and n-6 PUFA, which were all higher (by
17, 22 and 21 %, respectively) with organic meat consumption
based on average meat consumption pattern in the EU (Table 2). However, there was considerable variation in the MPD calcu-
lated for intakes for different meat types (Table 2). Owing to the
more limited data available, comparisons of intakes with organic
and conventional meat are currently not possible for other FA
parameters including VLC FA (EPA + DPA + DHA). Discussion However, it should be pointed out that (a) the evidence base for
individual meat/types/livestock species was very small (usually
between two and seven studies), (2) the meta-analyses did not
detect significant differences for all meat types/livestock species
and (3) that results for PUFA and n-3 PUFA varied between
individual studies and studies carried out in different countries/
regions. Other composition differences (e.g. the lower con-
centrations of 14 : 0 and 16 : 0 and higher concentrations of total
n-6 PUFA in organic chicken meat) detected by meta-analyses
may also be explained by differences in management practices
between organic and conventional production systems(46–48). In addition, when the calculated MPD were superimposed
onto SMD results (with 95 % CI) at an appropriate scale
(−80 to +80 for MPD and −3 to +3 for SMD), a reasonable match
was observed, with MPD for most compounds being present
within the 95 % CI for SMD (Fig. 2). However, for some para-
meters (fat, intramuscular fat, PUFA, n-3 PUFA, DPA and DHA),
MPD were outside the 95 % CI of SMD, and therefore these
should be seen as less reliable. However, it should be pointed out that (a) the evidence base for
individual meat/types/livestock species was very small (usually
between two and seven studies), (2) the meta-analyses did not
detect significant differences for all meat types/livestock species
and (3) that results for PUFA and n-3 PUFA varied between
individual studies and studies carried out in different countries/
regions. Other composition differences (e.g. the lower con-
centrations of 14 : 0 and 16 : 0 and higher concentrations of total
n-6 PUFA in organic chicken meat) detected by meta-analyses
may also be explained by differences in management practices
between organic and conventional production systems(46–48). Sensitivity analyses designed to identify the effect of using
different inclusion criteria and data-handling methods yielded
results broadly similar to those of the standard weighted and UM
for the composition parameters included in Fig. 2. Links between livestock management and meat
composition/quality Organic livestock production standards prescribe that livestock
are to be reared outdoors for a part of the year, although the
length of outdoor periods differs among regions and livestock
species(49–51). EU organic standards prescribe that (1) ruminants
receive at least 60 % of total DM intake (DMI) from forage (from
grazing, cut fresh forage or conserved forage such as silage or
hay) and (2) pigs and poultry are provided with access to forage
but intake levels are not specified(49–51). For ruminants, organic
regulations also prescribe that fresh forage intake is from grazing
‘when conditions allow’, and as a result the duration of grazing
and the ratio of fresh:conserved forage in organic diets vary
significantly between European regions, mainly due to differ-
ences in pedo-climatic and agronomic conditions(48,52). Where
organic pigs and poultry have access to grassland, this may also
result in significant fresh forage intake, but in many regions
organic pigs and poultry are fed conserved forage only(46,47). For poultry, there are limited data from controlled experi-
mental studies that could potentially explain impacts of feeding
regimens used in organic farming systems on meat quality, but
access to forage may also at least partially explain the differences
detected. For pigs and poultry, differences in the type of concentrate
(and in particular protein supplements) may also contribute to
composition differences between organic and conventional meat,
especially FA profiles – for example, although conventional pig
and poultry production relies on chemically extracted soya meal
(which has low levels of residual fat) to supply high-quality
protein, organic standards only allow cold-pressed soya and other
oil seed meals (which have a higher oil content). Moreover, on-
farm-produced grain legumes (peas and beans) are more widely
used as protein supplements in organic production, mainly
because there is a need for a proportion of feed to be produced
on farm because of the limited availability, high cost and ethical
concerns about imported feeds(46,47,55). The higher intake of soya
oil (which has a high LA content) with cold-pressed soya meal
may therefore explain the higher LA and n-6 concentrations
detected by meta-analyses for organic chicken meat(46,47). Discussion The sensitivity
analyses, designed to identify the effect of removing data from
the 20 % of studies with least precise treatment effects also
yielded broadly similar results, except for 14 : 0 and 16 : 0 and We therefore discuss below (1) current knowledge about the
effects of management practices (especially feeding regimens) Composition of organic meat products 1005 fat in the longissimus muscle of beef, although it had no sig-
nificant effect on total n-6 PUFA or LA concentrations(44). In lamb production, a switch from grain- to grass-based finishing
diets significant increased ALA (>2-fold), EPA (>2-fold), DPA
(88 %) and DHA (100 %) in the intramuscular fat of pelvic limb
muscle meat and decreased concentrations of LA (30 %) and AA
(21 %)(43). Although forage intakes in monogastric livestock are
much lower than that in ruminants, free-range rearing of pigs
with access to pasture grazing had significantly increased con-
centrations of PUFA, n-3 PUFA and ALA in the intramuscular fat
when compared with meat from pigs reared indoors on standard
concentrate-based diets(45). However, the relative differences
were smaller (<50 %) than those detected in studies with beef
and lamb(43,44). This suggests that there is considerable potential
for both conventional and organic production to increase n-3
PUFA (including VLC n-3 concentrations) concentrations in beef,
lamb and pork meat by further increasing grazing and the
proportion of forage in livestock diets. that may explain composition differences between organic and
conventional meat, (2) the strength of evidence and potential
reasons for the heterogeneity of the available data/evidence,
(3) potential nutritional/health impacts of meat from organic
and other grazing or high-forage livestock production systems,
(4) the need for expanding the current evidence base available
for meta-analysis and (5) the requirement for dietary interven-
tion and/or cohort studies to quantify potential health impacts
of organic meat consumption. Links between livestock management and meat
composition/quality clover, lucerne) or grass-
legume mixtures are typically used in organic farming systems
(where standards demand a specific proportion of fertility-
building legume crops in the rotation). In contrast, pure grass or
swards with a high proportion of grasses are more widely used
in conventional/non-organic production systems, because the
permitted use of mineral NPK fertilisers allows for higher DM
yields per hectare compared with legume-grass mixtures. Evidence from studies comparing milk fat composition in
extensive
(grazing
only)
organic
and
non-organic
dairy
production systems (which use similar cross-breeds and grazing
DMI) showed that organic milk (from cows grazing swards with
a higher clover content) had significantly more n-3 PUFA, but
lower
CLA
concentrations
compared
with
milk
from
non-organic farms(56,57). Similar impacts of legumes have also
been reported for meat quality(58): longissimus dorsi muscle
from lambs grazing lucerne or red clover swards (more widely
used in organic production systems) had significantly greater
PUFA:SFA ratios and higher concentrations of both LA and ALA
compared with lambs grazing grass swards. However, despite these uncertainties, there is a substantial
body of evidence indicating that overall organic meat may have
a more desirable FA profile than non-organic comparators. The
consistency
of
association
directions
across
the
multiple
outcomes and analyses mitigates some of the uncertainty
associated with individual parameters from a decision-analytical
perspective, but the currently available evidence requires
cautious interpretation. A major reason for the heterogeneity of the available data is
likely to be the considerable variation in the intensity of both
conventional and organic meat production systems. Non-
organic production may range from intensive indoor produc-
tion systems with high concentrate-based diets (>90 % of total
DMI for pigs and poultry) to extensive outdoor grazing-based
systems with high fresh and/or conserved forage (up to 100 %
of total DMI) diets(53–55). Although limited by the restrictions of
organic farming regulations, there is also variation in production
intensity within organic systems – for example, concentrate
intakes may vary between 0 and 40 % of DMI for organic
ruminant diets(48,52). Links between livestock management and meat
composition/quality In addition, although organic ruminant
diets are thought to be based on higher fresh forage from
grazing and lower concentrate intakes in most European
countries/regions, lower grazing-based DMI in organic, com-
pared with extensive non-organic, have been documented for
some ruminant livestock species in some regions of Europe –
for example, dairy cattle in Southern Wales(52,56) and dairy
sheep and lamb meat production systems in Crete (Smaro
Sotiraki, personal communication). This could explain why
some studies showed a different trend (e.g. lower PUFA and n-3
FA in organic meat) to the overall results obtained by
meta-analyses of pooled data or data for individual livestock
species/meat types. Mineral supply and supplementation. Although some trends
towards differences in mineral composition were detected by
meta-analyses, these were based on a very limited evidence
base and cannot be used to draw conclusions. However,
they demonstrate the importance to carry out additional
well-designed comparative studies, as organic and conventional
livestock systems differ in a range of management practices that
may affect the mineral composition of meat – for example,
(1) conventional forage and grain crops often receive high
inputs of mineral P fertilisers, a practice that has been linked to
higher Cd concentrations in crops(25,59), and (2) conventional
livestock feeding regimens often use higher levels of mineral
supplementation (e.g. more widespread use of Cu supplements
in conventional pig production). In addition, Fe concentrations
in meat may be increased by access to the outside or higher
proportions of forage in the diet (as recommended by organic
farming standards), as forages contain higher Fe concentrations
than concentrate feeds, and it is well recognised that piglets
with access to soil in their environment do not need Fe
injections, routinely used in housed production systems(60). In contrast, Cu deficiency in organically reared calves was
linked to high forage and low concentrate intakes in one recent
study(61), and this may have been due to low Cu contents in
soils
used
for
forage
production
and/or
the
mineral
supplements in the concentrate feed used for rearing calves in
conventional systems. Other potential sources of heterogeneity are the range of dif-
ferent livestock species, meat types and countries and/or variable
study designs and methodologies used in the studies from which
data were extracted. Links between livestock management and meat
composition/quality In contrast, in conventional beef, pork and poultry (and in
some regions also lamb and goat) production, there has been a
trend towards (1) reduced outdoor grazing or all-year-round
housing and (2) reductions in both fresh and conserved forage
intakes, but (3) increased use of concentrate feeds based on
maize, other cereals, soya, other grain legumes and by-products
from the food processing industry(53–55). Feeding regimens. A range of controlled animal experiments
showed that high grazing/forage-based diets (similar to those
prescribed under organic farming standards) reduce the total fat
and/or nutritionally undesirable SFA (12 : 0, 14 : 0 and/or 16 : 0)
content, while increasing concentrations of total PUFA, n-3
PUFA and VLC n-3 PUFA in meat, compared with concentrate-
based
diets
(typical
for
intensive
conventional
farming
systems)(43–45). These results suggest that the relative diver-
gence in feeding practices between the organic and conven-
tional livestock sectors is a major driver for both the differences
in meat FA composition between systems and the variability of
results
between
countries/regions
and
individual
studies
detected in this study by meta-analyses. Breed choice. The use of traditional and robust breeds/geno-
types is often recommended by organic sector bodies and
advisors. However, there is limited information on the relative
differences
in
breed
choice/breeding
regimens
between
organic and conventional beef cattle, lamb, goat, pig and
poultry production systems, and the papers used for meta-
analyses provided no or insufficient data on the breeds used in
the organic and conventional systems they compared. It was therefore not possible to determine whether breed
choice contributed significantly to the composition differences
reported in this study. However, controlled experimental
studies have demonstrated that breed choice does affect FA
profiles of meat(43–45). Differences in meat composition (e.g. for n-3 PUFA) reported
by controlled experimental studies are greater than the differ-
ences detected in this study between organic and conventional
meat by meta-analysis, especially for ruminant livestock – for
example, in beef production, a switch from grain- to grass-
based finishing diets produced significant increases in total
PUFA (45 %), total n-3 PUFA (>3-fold), ALA (>3-fold), EPA
(>5-fold), DPA (>2-fold) and DHA (129 %) in the intramuscular Grassland/forage composition. The composition of grazing
swards and conserved forages may also partially explain the
differences between organic and conventional meat. Most D. Średnicka-Tober et al. 1006 to facilitate inclusion in WM and (3) the establishment of
registers of primary research(29). importantly, forage-legume (e.g. Links between livestock management and meat
composition/quality In addition, data used in the meta-analyses
were collected over a >20-year period and agronomic practices
in both organic and conventional systems may have changed
over time; this may also have contributed to heterogeneity. As described in previous reviews focused on composition
differences
between
organic
and
conventional
crop-based
foods(5,25), pooling diverse information was necessary, because
for most composition parameters the number of published studies
available was insufficient to carry out separate meta-analyses for
specific countries/regions, livestock species/meat types or study
types. Consequently heterogeneity was high, although only PUFA
appeared to be sensitive to variable inclusion criteria. Potential nutritional impacts of composition differences The 47 % higher total n-3 PUFA concentration
detected by WM and estimated 17 % higher n-3 PUFA intake
with organic meat could therefore be potentially beneficial,
especially if intakes of VLC n-3 PUFA were increased. However,
it is currently unclear whether there are systematic differences in
VLC n-3 PUFA concentrations between organic and conventional
meat, because there is currently insufficient data to carry out WM
comparing VLC n-3 PUFA concentration in most individual meat
types. UM were possible for a larger number of meat types and
detected higher concentrations of VLC n-3 PUFA in beef, but not
other meat types for which sufficient data were available. Meat fat is an important source for VLC n-3 PUFA. Average
consumption levels of meat have been estimated to be 240 and
340 g/d per person, with red meat at 184 and 270 g/d per person
in Europe and the USA, respectively(62). For the majority of North
American and European consumers, meat is therefore the main
dietary source for VLC n-3 PUFA, supplying up to an estimated
50 % of the recommended adequate intake. A priority for future
studies should therefore be to substantially expand the evidence
base for VLC n-3 PUFA for all meat types to allow accurate
estimates of composition differences and dietary intakes with
organic and conventional meat. The currently very high level of meat, particularly red meat,
consumption is thought to be nutritionally undesirable, as it has
been linked to obesity, CVD, type 2 diabetes and a range of
cancers(77). Current dietary recommendations in the USA and
Europe are to reduce red meat intakes to <70 g/d(78,79). Com-
pliance with these guidelines will substantially reduce total fat
and VLC n-3 intakes. The need to identify alternative approaches
to
increase
VLC
n-3
PUFA
intake
is
discussed
in
the
supplementary data (see online additional discussion section). Although UM of pooled data for all meat types and beef
indicated that organic production may reduce the LA:ALA and
n-6:n-3 ratio, this cannot currently be confirmed by WM. These
ratios may be nutritionally relevant, as additional VLC n-3 PUFA
may be generated from dietary ALA, because humans can
elongate ALA to produce longer-chain n-3 PUFA(17,24,63–75). However, ALA to EPA conversion rates are thought to be low in
humans and synthesis of DHA is very low, especially in men(71). Potential nutritional impacts of composition differences The high inconsistency and low precision of meta-analyses for
many meat composition parameters may reflect both the
paucity of information and variability associated with agri-
production systems and especially livestock diets (see detailed
description below). This highlights the need for (1) further
well-designed studies delivering substantial additional primary
data sets, (2) reporting of measures of variance in publications Fat composition. The lower thrombogenicity index detected by
UM for organic meat fat was due to both (1) lower concentra-
tions of undesirable 14 : 0 and 16 : 0 (linked to an increased risk
of CVD) and (2) higher concentrations of n-3 PUFA (linked to a
decreased risk of CVD) found in organic meat. However, it
should be pointed out that the thrombogenicity index as a Composition of organic meat products 1007 predictor for CVD risk(19) has not so far been validated in human
dietary intervention or cohort studies. It is therefore currently not
possible to estimate to what extent the changes in FA profiles
and intakes may affect CVD risk (see also discussion below). Overall, results of the meta-analyses indicate that the relative
impact of using organic production methods on meat FA profiles
differs between livestock species. The impact of switching to
organic meat consumption therefore not only depends on the
amount but also on the type of meat consumed. However, there
are large differences in the relative amounts of beef, lamb, pork
and chicken meat fat consumed between countries/regions in
the EU and elsewhere(42). In addition, calculations of estimated
FA intakes assumed that (1) fat concentrations in organic and
conventional meats are similar and (2) there is no difference in
the relative proportion of different types of meat consumed by
organic and conventional consumers, whereas there is insuffi-
cient published information to confirm that these assumptions
are correct. However, it is well documented that (1) meat intakes
vary considerably between individuals, (2) the FA composition
of intramuscular fat may differ significantly from that of
subcutaneous/storage(48) and (3) meat processing and con-
sumption methods (e.g. amount of fat being removed) may
greatly affect both total fat and FA intakes. Estimates of total daily
FA intakes calculated using data on current average EU meat fat
consumption therefore have to be interpreted with caution. Increasing n-3 (especially VLC n-3) PUFA intake in human
diets has been linked to a range of other health benefits in
humans(16,17,21–23). Potential nutritional impacts of composition differences The proportion of ALA (the main n-3 in the human diet)
converted to longer-chain n-3 FA in humans is thought to
increase with decreasing LA:ALA ratios in the diet, as ALA and LA
compete for Δ6 desaturase activity(24). In addition, the nutritional
impact of switching consumption from conventional to organic
meat (or that from other high-forage systems) relating to higher
n-3 PUFA intakes (and conversion of ALA to VLC n-3 PUFA) will
depend on a range of other dietary factors including total fat
intake, the proportion of dairy products, meat and vegetable fat
in total fat intake, the type of vegetable fats in the diet and the
relative capacity of individuals to convert/elongate ALA into
longer-chain n-3 PUFA(17,24,63–75). Minerals. Owing to the very limited evidence base, it is not
currently possible to estimate differences in mineral composi-
tion and potential impacts on human health. The need to
investigate the potential effects of organic and conventional
production protocols on the mineral composition of meat is
discussed in the supplementary data (see online additional
discussion section). Deficiencies in the evidence base Meat composition data. Compared with the large amount of
comparative composition data now available for crop-based
foods(25), the data sets available for the meta-analyses of meat
composition parameters reported in this study were limited. Results showed low statistical power for many parameters and
limited ability to understand between-study heterogeneity, and
these are the major reasons for the very low or low overall
reliability for many of the outcomes. However, for a range of
composition parameters for which significant differences were
detected, the method of synthesis did not have large effects, in
terms of either statistical significance or effect magnitude. Additional data from further, well-designed studies would
alleviate the current uncertainties in the evidence and may
allow exploration of between-study covariates. Future studies
should be registered to eliminate potential publication biases. Apart from FA profiles, a particular emphasis should be placed
on
comparing
nutritionally
important
meat
composition A recent dietary intervention study showed that concentrations
of VLC n-3 PUFA in both plasma and platelets were significantly
higher in individuals consuming pasture-finished compared with
concentrate-finished beef and lamb(76). This indicates that
consumption of meat from grazing/forage-based systems (such
as organic meat) may raise VLC n-3 concentrations in the human
body, although it is currently unclear to what extent this is due to
(1) higher VLC n-3 intakes or (2) higher ALA to VLC n-3
conversion associated with the low LA:ALA ratio in meat from
grazing-based systems. D. Średnicka-Tober et al. 1008 parameters for which there are currently no or too few studies
to carry out meta-analyses, especially antioxidants/vitamins
(e.g. vitamin A, vitamin B1, B6 and B12, riboflavin, folate, niacin,
pantothenic acid) and minerals (e.g. Fe, Zn, Se) for which meat
is a major dietary source. Overall, the present study indicates that organic livestock
production may change the FA profiles, and possibly other
composition parameters, and that some of these changes (e.g. higher n-3 PUFA) may be nutritionally desirable. It is therefore
important to carry out additional studies to address the limita-
tions in the current evidence base. If nutritionally relevant
composition differences can be confirmed and/or linked to
specific agronomic practices (e.g. high forage diets), this would
then justify dietary intervention or cohort studies designed to
identify the impact of consuming meat with contrasting com-
position generated by switching to organic production or spe-
cific agronomic practices. Effect of specific agronomic practices. Acknowledgements Support from Lord Peter Melchett (Policy Director, Soil Asso-
ciation, Bristol, UK) and Bruno Martin (Centre Clermont-
Ferrand-Theix, Institut National de la Recerche Agronomique,
INRA, Saint Genès Champanelle, France) for the critical review/
editing of the manuscript is gratefully acknowledged. The authors are grateful for funding from the European
Community financial participation under the Sixth Framework
Programme for Research, Technological Development and
Demonstration Activities for the Integrated Project QUALITY-
LOWINPUTFOOD, FP6-FOOD-CT-2003-506358. The authors
also gratefully acknowledge financial and technical support
from the Sheepdrove Trust for ‘The meta-analyses of data on
composition of organic and conventional foods’. The Sheep-
drove Trust supports independent R&D underpinning the
development of organic and sustainable farming and food
systems. Financial support by the Trust was without conditions,
and the Trust had no influence on the design and management
of the research project and the preparation of publications from
the project. Dietary intervention and cohort studies. Potential impacts of
composition differences in meat composition on human health
(e.g. risk of CVD) currently have to be extrapolated from
existing information about the effects of compounds such as
12 : 0, 14 : 0 and 16 : 0 SFA, LA and n-3 (especially VLC n-3)
PUFA on human health, as there are a few studies that have
assessed impacts of organic food consumption on animal or
human health or health-related biomarkers. If the significant
differences in nutritionally relevant compounds identified in this
study are confirmed, this would highlight the need to carry out
human dietary intervention and cohort studies designed to
quantify the potential health impacts of switching to organic
food production. Experimental studies comparing meat from
non-organic forage and concentrate-based production systems
suggest that other grazing-based livestock production systems
deliver similar improvements in FA profiles(43–45) and poten-
tially other meat-quality parameters. This should be considered
in the design of future dietary intervention/cohort studies. p
j
D. Ś.-T. is a nutritionist who carried out a major part of the
literature search and extraction and contributed to writing the
manuscript. M. B. is an animal and food scientist who designed
the database, carried out most of the meta-analyses and con-
tributed to writing the manuscript. C. S. is a human nutritionist
who contributed to the design of the study, discussion of
potential health impacts of composition differences and the
critical review of the manuscript. R. S. Deficiencies in the evidence base Current knowledge on
the effect of feeding regimens on meat quality and the results of
the meta-analyses reported in this study suggest that increasing
the requirements for grazing and applying further restrictions
on the use of concentrate feeds (especially during the finishing
period) under organic and other extensive (e.g. pasture-reared)
production standards will further improve the nutritional quality
of meat and the differential in quality compared with meat
products from intensive indoor meat production systems(48). However, additional well-designed comparative studies are
needed to increase the sensitivity of meta-analyses and to
quantify more specifically which production system parameters
(e.g. specific feed composition components, especially during
the finishing period, breed choice/breeding systems, veterinary
interventions) are the most significant drivers for nutritionally
relevant composition differences for different livestock species. Acknowledgements is an animal scientist, who supported the literature search,
critical review of the manuscript and the discussion relating to
interactions between feeding regimens and meat quality. M. K. L. is a biochemist/nutritionist and provided data sets and
supported the literature review and critical review of the
manuscript. T. J. is the Nafferton Ecological Farming Group
office manager and supported the literature search and data
extraction. U. N. is head of FiBL, Europe’s largest organic
farming institute, and supported the literature review (especially
with respect to studies linking feeding regimens and meat
quality parameters) and critical review of the manuscript. T. S. is
an animal physiologist and supported the literature review and
critical revision of the manuscript, especially with respect to
studies from Eastern European countries. P. C. C. is a nutritionist
who supported the preparation (in particular introduction and
discussion sections describing potential health impacts of
changes in fatty acid profiles in meat) and critical review of the
manuscript. G. C. B. is a nutritionist who supported the pre-
paration (in particular introduction and discussion sections
describing potential health impacts of changes in fatty acid
profiles in meat) and critical review of the manuscript. S. S. is a
veterinarian and animal scientist who supported the literature
review and critical review of sections of the discussion. A. S. is a
veterinarian and animal scientist who supported the literature
review and critical review of sections of the introduction and
discussion. H. Y. is forage-production agronomist who sup-
ported the literature review and preparation of the discussion
sections dealing with associations between forage-based feeding
regimens and meat composition. S. S. is an animal scientist who
supported the literature review and prepared sections of the
discussion. G. B. is an animal nutritionist/scientist who sup-
ported the literature review and critical review of the manuscript. G. S. is a lecturer in Evidence Synthesis who provided advice on
the conduct and interpretation of the meta-analysis and critical
review of the manuscript. C. L. is an agronomist specialising on
agricultural production systems design/improvement and the
study of interactions between agronomic practices and food
quality and safety. He led the design of the study, management
of research project and the preparation of the manuscript. 3. Oughton E & Ritson C (2007) Food consumers and organic
agriculture. In Handbook of Organic Food Quality and Safety,
pp. 74–94 [J Cooper, U Niggli and C Leifert, editors]. Cambridge: Woodhouse Publishing Ltd. 1.
Willer H & Kilcher L (2011) The World of Organic Agriculture.
Statistics and Emerging Trends 2011. FiBL-IFOAM Report.
Rheinbreitbach, Germany: IFOAM, Bonn and FiBL, Frick. Acknowledgements Ulbricht TL & Southgate DA (1991) Coronary heart disease:
seven dietary factors. Lancet 338, 985–992. The senior author of the paper, C. L., owns farmland in
Germany that is managed by conventional farming standards
and a smallholding in Greece that is managed by organic
farming standards. 20. Calder PC (2015) Marine omega-3 fatty acids and inflamma-
tory processes: effects, mechanisms and clinical relevance. Biochim Biophys Acta 1851, 469–484. 21. European Food Safety Authority (2010) Scientific opinion on
dietary reference values for fats, including saturated fatty
acids, polyunsaturated fatty acids, monounsaturated fatty
acids, trans fatty acids, and cholesterol. EFSA J 8, 1461. Acknowledgements 4. Dangour AD, Dodhia SK, Hayter A, et al. (2009) Nutritional
quality of organic foods: a systematic review. Am J Clin Nutr
90, 680–685. 5. Brandt K, Leifert C, Sanderson R, et al. (2011) Agroecosystem
management and nutritional quality of plant foods: the case of
organic fruits and vegetables. Crit Rev Plant Sci 30, 177–197. 6. Cooper J, Niggli U & Leifert C (2007) Handbook of Organic
Food Safety and Quality. Cambridge: CRC Press. Food Safety and Quality. Cambridge: CRC Press. 7. Williams P (2007) Nutritional composition of red meat. Nutr
Diet 64, S113–S119. 8. Palupi E, Jayanegara A, Ploeger A, et al. (2012) Comparison of
nutritional quality between conventional and organic dairy
products: a meta-analysis. J Sci Food Agric 92, 2774–2781. 9. Smith-Spangler C, Brandeau ML, Hunter GE, et al. (2012) Are
organic foods safer or healthier than conventional alternatives? A systematic review. Ann Intern Med 157, 348–366. 10. Hu FB, Manson JE & Willett WC (2001) Types of dietary fat
and risk of coronary heart disease: a critical review. J Am Coll
Nutr 20, 5–19. 11. Parodi PW (2009) Has the association between saturated fatty
acids, serum cholesterol and coronary heart disease been over
emphasized? Int Dairy J 19, 345–361. 12. German JB, Gibson RA, Krauss RM, et al. (2009) A reappraisal
of the impact of dairy foods and milk fat on cardiovascular
disease risk. Eur J Nutr 48, 191–203. 13. Kliem KE & Givens DI (2011) Dairy products in the food
chain: their impact on health. Annu Rev Food Sci Technol 2,
21–36. 14. Sun Q, Ma J, Campos H, et al. (2007) Plasma and erythrocyte
biomarkers of dairy fat intake and risk of ischemic heart
disease. Am J Clin Nutr 86, 929–937. 15. Wijendran V & Hayes KC (2004) Dietary n-6 and n-3 fatty acid
balance and cardiovascular health. Annu Rev Nutr 24, 597–615. 16. Simopoulos AP & Cleland LG (editors) (2003) Omega-6/
omega-3 Essential Fatty Acid Ratio: The Scientific Evidence. Basel, Switzerland: Karger. 17. Givens DI & Gibbs RA (2008) Current intakes of EPA and DHA
in European populations and the potential of animal-derived
foods to increase them. Proc Nutr Soc 67, 273–280. 18. Blasbalg TL, Hibbeln JR, Ramsden CE, et al. (2011) Changes in
consumption of omega-3 and omega-6 fatty acids in the United
States during the 20th century. Am J Clin Nutr 93, 950–962. 19. Acknowledgements is an environmental
modeller and data analyser, who helped design the literature
search and database storage, helped to design the study and
provided guidance the meta-analyses used. C. B. is an
agronomist specialising on organic production systems, who
supported the literature review (especially with respect to stu-
dies in North and South America) and the preparation/review of
the manuscript. H. S. is an animal nutritionist, who supported
the literature review and critical revision of the manuscript,
especially with respect to studies from Scandinavian countries. J. G.-O. is a human nutritionist, who supported the literature
review and the discussion of potential health impacts of
composition differences identified in the meta-analyses. E. R. is
a human nutritionist, who supported the literature review and
critical revision of the manuscript, especially with respect to
human
intervention
studies
focused
on
health
impacts
of organic food consumption. K. S.-S. is an animal nutritionist/ The potential of carrying out dietary intervention/cohort
studies was demonstrated by a recent investigation into the
effect of organic milk consumption on eczema in children
younger than 2 years of age in the Netherlands (a country with
relatively high milk consumption)(64). It reported that eczema
was significantly reduced in children from families consuming
organic rather than non-organic milk. This may have been
caused by the higher n-3 PUFA concentrations and lower
n-6:n-3 PUFA ratio in organic milk, as there is increasing evi-
dence for anti-allergic effects of n-3 FA(65) – for example, a
recent animal study showed that increasing dietary VLC n-3
PUFA intake prevents allergic sensitisation to cows’ milk protein
in mice(66). However, it is important to point out that there are
so far no cohort studies showing a link between organic meat
consumption and reduced incidence in eczema and other
positive health outcomes. Composition of organic meat products 1009 physiologist who supported the literature review and critical
revision of the manuscript, especially with respect to animal
dietary intervention studies focused on physiological and health
impacts of organic feed consumption. M. E. is an ecologist and
statistician who advised and supported the statistical analyses. G. C. is an animal scientist, who supported the literature search,
critical review of the manuscript and the discussion relating to
interactions between feeding regimens and meat quality. M. K. L. is a biochemist/nutritionist and provided data sets and
supported the literature review and critical review of the
manuscript. T. J. Supplementary material For supplementary material/s referred to in this article, please
visit http://dx.doi.org/doi:10.1017/S0007114515005073 22. Massiera F, Barbry P, Guesnet P, et al. (2010) A western-like
fat diet is sufficient to induce a gradual enhancement in fat
mass over generations. J Lipid Res 51, 2352–2361. Acknowledgements is the Nafferton Ecological Farming Group
office manager and supported the literature search and data
extraction. U. N. is head of FiBL, Europe’s largest organic
farming institute, and supported the literature review (especially
with respect to studies linking feeding regimens and meat
quality parameters) and critical review of the manuscript. T. S. is
an animal physiologist and supported the literature review and
critical revision of the manuscript, especially with respect to
studies from Eastern European countries. P. C. C. is a nutritionist
who supported the preparation (in particular introduction and
discussion sections describing potential health impacts of
changes in fatty acid profiles in meat) and critical review of the
manuscript. G. C. B. is a nutritionist who supported the pre-
paration (in particular introduction and discussion sections
describing potential health impacts of changes in fatty acid
profiles in meat) and critical review of the manuscript. S. S. is a
veterinarian and animal scientist who supported the literature
review and critical review of sections of the discussion. A. S. is a
veterinarian and animal scientist who supported the literature
review and critical review of sections of the introduction and
discussion. H. Y. is forage-production agronomist who sup-
ported the literature review and preparation of the discussion
sections dealing with associations between forage-based feeding
regimens and meat composition. S. S. is an animal scientist who
supported the literature review and prepared sections of the
discussion. G. B. is an animal nutritionist/scientist who sup-
ported the literature review and critical review of the manuscript. G. S. is a lecturer in Evidence Synthesis who provided advice on
the conduct and interpretation of the meta-analysis and critical
review of the manuscript. C. L. is an agronomist specialising on
agricultural production systems design/improvement and the
study of interactions between agronomic practices and food
quality and safety. He led the design of the study, management
of research project and the preparation of the manuscript. 2. Yiridoe EK, Bonti-Ankomah S & Martin RC (2005) Comparison
of consumer perceptions and preference toward organic
versus conventionally produced foods: a review and update
of the literature. Renew Agric Food Syst 20, 193–205. physiologist who supported the literature review and critical
revision of the manuscript, especially with respect to animal
dietary intervention studies focused on physiological and health
impacts of organic feed consumption. M. E. is an ecologist and
statistician who advised and supported the statistical analyses. G. C. References 23. Ryan AS, Astwood JD, Gautier S, et al. (2010) Effects of
long-chain polyunsaturated fatty acid supplementation on
neurodevelopment in childhood: a review of human studies. Prostaglandins Leukot Essent Fatty Acids 82, 305–314. D. Średnicka-Tober et al. 1010 24. Emken EA, Adlof RO & Gulley RM (1994) Dietary linoleic acid
influences desaturation and acylation of deuterium-labelled
linoleic and linolenic acids in young adult males. Biochim
Biophys Acta 4, 277–288. 42. FAOstat (2011) Food supply – livestock and fish primary
equivalent dataset. Fat supply quantity. http://www.faostat3. fao.org (accessed June 2015). 43. Fisher AV, Enser M, Richardson RI, et al. (2000) Fatty acid
composition and eating quality of lamb types derived from
four diverse breed x production systems. Meat Sci 55,
141–147. p y
,
25. Barański M, Średnicka-Tober D, Volakakis N, et al. (2014)
Higher antioxidant and lower cadmium concentrations and
lower incidence of pesticide residues in organically grown
crops: a systematic literature review and meta-analyses. Br J
Nutr 112, 794–811. 44. Nuernberg K, Dannenberger D, Nuernberg G, et al. (2005)
Effect of a grass-based and a concentrate feeding system on
meat quality characteristics and fatty acid composition of
longissimus muscle in different cattle breeds. Livest Prod Sci
94, 137–147. 26. Franci O, Bozzi R, Pugliese C, et al. (2005) Performance of
Cinta Senese pigs and their crosses with Large White. 1
Muscle and subcutaneous fat characteristics. Meat Sci 69,
545–550. 45. Nilzen V, Babol J, Dutta PC, et al. (2001) Free range rearing of
pigs with access to pasture grazing-effect on fatty acid
composition and lipid oxidation products. Meat Sci 58,
267–275. 27. Nantapo CTW, Muchenje V & Hugo A (2014) Atherogenicity
index and health-related fatty acids in different stages of lac-
tation from Friesian, Jersey and Friesian × Jersey cross cow
milk under a pasture-based dairy system. Food Chem 146,
127–133. 46. Hirt H & Zeltner E (2007) Effects of organic husbandry
methods and feeding regimes on poultry quality. In Hand-
book of Organic Food Quality and Safety, pp. 117–143
[J Cooper, U Niggli and C Leifert, editors]. Cambridge:
Woodhouse Publishing Ltd. 28. Brandt K, Średnicka-Tober D, Barański M, et al. (2013)
Methods for comparing data across differently designed
agronomic
studies:
examples
of
different
meta-analysis
methods used to compare relative composition of plant
foods grown using organic or conventional production
methods, and a protocol for a systematic review. J Agric Food
Chem 61, 7173–7180. 47. References Sundrum A (2007) Quality in organic, low-input and con-
ventional pig production. In Handbook of Organic Food
Quality and Safety, pp. 144–177 [J Cooper, U Niggli and
C Leifert, editors]. Cambridge: Woodhouse Publishing Ltd. 29. Stewart G (2010) Meta-analysis in applied ecology. Biol Lett 6,
78–81. 48. Kamihiro S, Stergiadis S, Leifert C, et al. (2015) Meat quality
and health implications of organic and conventional beef
production. Meat Sci 100, 306–318. 30. Koricheva J & Gurevitch J (2013) Place of meta-analysis
among other methods of research synthesis. In Handbook
of
Meta-Analysis
in
Ecology
and
Evolution,
pp. 3–13
[J Koricheva, J Gurevitch and K Mengersen, editors]. Prince-
ton, NJ: Princeton University Press. 49. European Council (2007) Council Regulation (EC) No 834/
2007 of 28 June 2007 on organic production and labelling of
organic products and repealing Regulation (EEC) No 2092/91. In Official Journal of the European Communities, L 189,
pp. 1–23. Brussels, Belgium. 31. Hallmann
E
&
Rembialkowska
E
(2006)
Antioxidant
compounds content in selected onion bulbs from organic and
conventional cultivation. J Res Appl Agric Eng 51, 42–46. 50. European Commission (2008) Commission Regulation (EC)
No 889/2008 of 5 September 2008 laying down detailed rules for
the implementation of Council Regulation (EC) No 834/2007 on
organic production and labelling of organic products with regard
to organic production, labelling and control. In Official Journal of
the European Communities, L 250, pp. 1–84. Brussels, Belgium. 32. Viechtbauer W (2010) Conducting meta-analyses in R with the
metafor package. J Stat Softw 36, 1–48. 33. Hedges
LV
&
Olkin
I
(1985)
Statistical
Methods
for
Meta-Analysis. San Diego, CA: Academic Press. 34. Sanchez-Meca J & Marin-Martinez F (2010) Meta-analysis. In
International
Encyclopedia
of
Education,
3rd
ed. pp. 274–282 [P Peterson, E Baker and B McGaw, editors]. Amsterdam: Elsevier. 51. European Commission (2014) Commission Implementing
Regulation (EU) No 836/2014 of 31 July 2014 amending
Regulation (EC) No 889/2008 laying down detailed rules for
the implementation of Council Regulation (EC) No 834/2007
on organic production and labelling of organic products with
regard to organic production, labelling and control. In Official
Journal of the European Communities, L 230, pp. 10–11. Brussels, Belgium. 35. Lipsey MW & Wilson DB (2001) Practical Meta-Analysis. Applied Social Research Methods Series. Thousand Oaks, CA:
Sage Publications. g
36. Hedges LV, Gurevitch J & Curtis PS (1999) The meta-analysis
of response ratios in experimental ecology. Ecology 80,
1150–1156. 52. References Butler G, Nielsen JH, Larsen MK, et al. (2011) The effects of
dairy management and processing on quality characteristics of
milk and dairy products. NJAS Wagening J Life Sci 58, 97–102. 37. Mengersen K, Schmidt C, Jennions M, et al. (2013) Statistical
models and approaches to inference. In Handbook of Meta-
Analysis in Ecology and Evolution, pp. 89–107 [J Koricheva,
J Gurevitch and K Mengersen, editors]. Princeton, NJ: Prince-
ton University Press. y p
J
g
g J
f
,
53. Bouwman AF, Van der Hoek KW, Eickhout B, et al. (2005)
Exploring changes in world ruminant production systems. Agric Syst 84, 121–153. 54. Bruinsma J (editor) (2003) World Agriculture Towards 2015/
2030: An FAO Perspective. London: Earthscan Publications Ltd. 38. Rothstein HR, Sutton AJ & Borenstein M (2006) Publication
bias in meta-analysis. In Publication Bias in Meta-Analysis:
Prevention,
Assessment
and
Adjustments,
pp. 1–7
[HR
Rothstein, AJ Sutton and M Borenstein, editors]. Chichester:
John Wiley & Sons, Ltd. 55. Soil Association (2010) Feeding Animals that Feeds Us. Bristol:
Soil Association. 56. Butler G, Collomb M, Rehberger B, et al. (2009) Conjugated
linoleic acid isomer concentrations in milk from high- and low-
input management dairy systems. J Sci Food Agric 89, 697–705. 39. Gurevitch J & Hedges LV (1999) Statistical issues in ecological
meta-analyses. Ecology 80, 1142–1149. 57. Butler G (2014) Manipulating dietary PUFA in animal feed:
implications for human health. Proc Nutr Soc 73, 87–95. 40. Manly BFJ (2001) Randomization, Bootstrap and Monte Carlo
Methods in Biology, 2nd ed. New York: Chapman and Hall. 58. Fraser MD, Speijers MHM, Theobald VJ, et al. (2004)
Production performance and meat quality of grazing lambs
finished on red clover, lucerne or perennial ryegrass swards. Grass Forage Sci 59, 345–356. 41. Guyatt GH, Oxman AD, Vist GE, et al. (2008) GRADE: an
emerging consensus on rating quality of evidence and
strength of recommendations. BMJ 336, 924–926. Composition of organic meat products 1011 59. Cooper J, Sanderson R, Cakmak I, et al. (2011) Effect of
organic and conventional crop rotation, fertilization, and crop
protection practices on metal contents in wheat (Triticum
aestivum). J Agric Food Chem 59, 4715–4724. 70. Welch AA, Shrestha SS, Lentjes MAH, et al. References (2010) Dietary
intake and status of n-3 polyunsaturated fatty acids in a
population of fish-eating and non-fish-eating meat-eaters,
vegetarians, and vegans and the precursor-product ratio of
alpha-linolenic acid to long-chain n-3 polyunsaturated fatty
acids results from the EPIC-Norfolk cohort. Am J Clin Nutr 92,
1040–1051. 60. Kleinbeck SN & McGlone JJ (1999) Intensive indoor versus
outdoor swine production systems: genotype and supple-
mental iron effects on blood hemoglobin and selected
immune measures in young pigs. J Anim Sci 77, 2384–2390. 71. Burdge GC & Calder PC (2005) Conversion of alpha-linolenic
acid
to
longer-chain
polyunsaturated
fatty
acids
in
human adults. Reprod Nutr Dev 45, 581–597. 61. Blanco-Penedo I, Shore RF, Miranda M, et al. (2009) Factors
affecting trace element status in calves in NW Spain. Livest Sci
123, 198–208. 72. Henderson L, Gregory J & Swan G (2002) The National Diet
and Nutrition Survey: Adults Aged 19 to 64 Years. Volume 1:
Types and Quantities of Foods Consumed. London: TSO. 62. Daniel CR, Cross AJ, Koebnick C, et al. (2011) Trends in meat
consumption in the United States. Public Health Nutr 14,
575–583. 73. Mushtaq S, Mangiapane EH & Hunter KA (2010) Estimation of
cis-9, trans-11 conjugated linoleic acid content in UK foods
and assessment of dietary intake in a cohort of healthy adults. Br J Nutr 103, 1366–1374. 63. Raatz SK, Silverstein JT, Jahns L, et al. (2013) Issues of fish
consumption
for
cardiovascular
disease
risk
reduction. Nutrients 5, 1081–1097. 64. Kummeling I, Thijs C, Huber M, et al. (2008) Consumption of
organic foods and risk of atopic disease during the first 2 years
of life in the Netherlands. Br J Nutr 99, 598–605. 74. Kato T, Kolenic N & Pardini RS (2007) Docosahexaenoic acid
(DHA), a primary tumor suppressive omega-3 fatty acid,
inhibits growth of colorectal cancer independent of p53
mutational status. Nutr Cancer 58, 178–187. 65. Calder PC, Kremmyda L-S, Vlachava M, et al. (2010) Is there a
role for fatty acids in early life programming of the immune
system? Proc Nutr Soc 69, 373–380. 75. Pereira PM & Vicente AF (2013) Meat nutritional composition
and nutritive role in the human diet. Meat Sci 93, 586–592. 66. van den Elsen LWJ, van Esch BCAM, Hofman GA, et al. (2013)
Dietary long chain n-3 polyunsaturated fatty acids prevent
allergic sensitization to cow’s milk protein in mice. Clin Exp
Allergy 43, 798–810. 76. References McAfee AJ, McSorley EM, Cuskelly GJ, et al. (2011) Red meat
from animals offered a grass diet increases plasma and platelet 76. McAfee AJ, McSorley EM, Cuskelly GJ, et al. (2011) Red meat
from animals offered a grass diet increases plasma and platelet
n-3 PUFA in healthy consumers. Br J Nutr 105, 80–89. g
p
p
n-3 PUFA in healthy consumers. Br J Nutr 105, 80–89. 77. Pan A, Sun Q, et al. (2012) Red meat consumption and mor-
tality: results from 2 prospective cohort studies. Arch Intern
Med 172, 555–563. 67. Childs CE, Romeu-Nadal M, Burdge GC, et al. (2008) Gender
differences in the n-3 fatty acid content of tissues. Proc Nutr
Soc 67, 19–27. 78. World Cancer Research Fund (UK) (2014) Does red meat get
the red light for health? http://blog.wcrf-uk.org/2014/09/does-
red-meat-get-the-red-light-for-health/ (accessed January 2015). 68. Williams CM & Burdge G (2006) Long-chain n-3 PUFA:
plant v. marine sources. Proc Nutr Soc 65, 42–50. 69. Brenna JT, Salem N Jr, Sinclair AJ, et al. (2009) alpha-Linolenic
acid supplementation and conversion to n-3 long-chain
polyunsaturated
fatty
acids
in
humans. Prostaglandins
Leukot Essent Fatty Acids 80, 85–91. 79. National Health Service (2013) Red meat and the risk of bowel
cancer. http://www.nhs.uk/Livewell/Goodfood/Pages/red-
meat.aspx (accessed January 2015).
|
https://openalex.org/W2051359566
|
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0049552&type=printable
|
English
| null |
Phylogenetic Patterns of Geographical and Ecological Diversification in the Subgenus Drosophila
|
PloS one
| 2,012
|
cc-by
| 12,860
|
Abstract Colonisation of new geographic regions and/or of new ecological resources can result in rapid species diversification into
the new ecological niches available. Members of the subgenus Drosophila are distributed across the globe and show a large
diversity of ecological niches. Furthermore, taxonomic classification of Drosophila includes the rank radiation, which refers
to closely related species groups. Nevertheless, it has never been tested if these taxonomic radiations correspond to
evolutionary radiations. Here we present a study of the patterns of diversification of Drosophila to test for increased
diversification rates in relation to the geographic and ecological diversification processes. For this, we have estimated and
dated a phylogeny of 218 species belonging to the major species groups of the subgenus. The obtained phylogenies are
largely consistent with previous studies and indicate that the major groups appeared during the Oligocene/Miocene
transition or early Miocene, characterized by a trend of climate warming with brief periods of glaciation. Ancestral
reconstruction of geographic ranges and ecological resource use suggest at least two dispersals to the Neotropics from the
ancestral Asiatic tropical disribution, and several transitions to specialized ecological resource use (mycophagous and
cactophilic). Colonisation of new geographic regions and/or of new ecological resources can result in rapid species
diversification into the new ecological niches available. However, diversification analyses show no significant support for
adaptive radiations as a result of geographic dispersal or ecological resource shift. Also, cactophily has not resulted in an
increase in the diversification rate of the repleta and related groups. It is thus concluded that the taxonomic radiations do
not correspond to adaptive radiations. Citation: Morales-Hojas R, Vieira J (2012) Phylogenetic Patterns of Geographical and Ecological Diversification in the Subgenus Drosophila. PLoS ONE 7(11):
e49552. doi:10.1371/journal.pone.0049552 Editor: Nadia Singh, North Carolina State University, United States of America Received May 15, 2012; Accepted October 15, 2012; Published November 12, 2012 Received May 15, 2012; Accepted October 15, 2012; Published November 12, 2012 ales-Hojas, Vieira. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
tion, and reproduction in any medium, provided the original author and source are credited. Copyright: 2012 Morales-Hojas, Vieira. This is an open-access article distributed under the terms of the Creative Commons Attribu
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Introduction and, while the phylogeny, ecology and distribution for some
species are not well characterized, there is broad information for
most of the species groups [12,13]. There is some difficulty in
resolving the phylogenetic relationships between the main groups
of Drosophila, which has been attributed to the rapid divergence of
these lineages as the descendants adapted to a variety of ecological
resources [12]. This pattern, if confirmed, could indicate that the
Drosophila lineage is the result of an adaptive radiation. The large diversity of life forms that we see today is the result of
different biological processes, one of which is adaptive radiation
[1,2,3]. Adaptive radiations refer to lineages that exhibit a di-
versification of species intodifferent ecologicalniches.This process is
generally triggered by ecological opportunity, in which an under-
utilized environment becomes available to an ancestral species
allowing a rapid species diversification into the new ecological niches
available. The new environment can be colonized either by the
evolutionofakeyinnovation,thedispersalintoanewgeographicarea
or by the extinction of antagonist species [4,5]. The study of the rates
of diversification across phylogenetic lineages can be used to identify
adaptive radiations and provides valuable information about the
processesthat underlietheoriginofbiologicaldiversity[3].Apattern
that is generally considered to be the result of an adaptive radiation is
when there is a rapid origin of species that adapt to a diversity of
ecological niches followed by a slow down of the diversification rate
through time as the new niches become occupied [2,6]. This is
a common pattern observed in many taxonomic groups (e.g. [7,8,9,10]). p
g
p
The genus Drosophila is paraphyletic as several other genera are
included within the phylogeny of the Drosophila [12]. Ten
subgenera are presently recognized within the genus Drosophila,
of which the Sophophora and Drosophila are the major ones [14];
these are further taxonomically subdivided into radiations and
species groups. It should be noted that the term radiation refers to
a taxonomic rank that comprises several closely related species
groups, and should not be confused with an adaptive radiation. Furthermore, it has never been tested whether these taxonomic
radiations correspond to adaptive radiations. Of the two main
subgenera, Drosophila is the largest one. It has a wide distribution
and some of its members show interesting ecological niches such as
fungi and cacti. Abstract Funding: This work was funded by the Fundac¸a˜o para a Cieˆncia e Tecnologia (FCT) through research projects PTDC/BIA-BDE/66765/2006 and PTDC/BIA-BEC/
099933/2008, funded by Programa Operacional para a Cieˆncia e Inovac¸a˜o (POCI-2010), co-funded by Fundo Europeu para o Desenvolvimento Regional (FEDER)
and Programa Operacional para a Promoc¸a˜o da competividade (COMPETE). Ramiro Morales-Hojas is supported by a Cieˆncia 2007 contract. The funders had no
role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: rmhojas@ibmc.up.pt Ramiro Morales-Hojas*, Jorge Vieira Molecular Evolution Lab, Instituto de Biologia Molecular e Celular, Universidade do Porto, Porto, Portugal Molecular Evolution Lab, Instituto de Biologia Molecular e Celular, Universidade do Porto, Porto, Portugal Phylogenetic Patterns of Geographical and Ecological
Diversification in the Subgenus Drosophila Ramiro Morales-Hojas*, Jorge Vieira November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org Phylogenetic Analyses Phylogenetic reconstruction was performed using Bayesian
Inference (BI) and Maximum Likelihood (ML) as optimality
criteria. For the BI approach, phylogenetic relationships between
the species were estimated at the same time as the estimation of the
divergence times with BEAST version 1.7.2 [32] run in CIPRES
Science Gateway [33]. The divergence times were estimated under
the uncorrelated relaxed-clock tree model [34]. Runs were
performed allowing for different substitution rates and clocks at
nuclear and mitochondrial genes. The model of evolution used for
each data partition was the GTR+I+G. Runs were performed with
two different matrices: 1) all 218 species, which included non-
overlapping characters; and, 2) alignment of 153 species with
overlapping sequences (2–3 genes). Also, two calibration schemes
were used in these analyses. First, the calibration of the tree was
done using dates of divergence obtained from the literature for 9
nodes:
1)
antopocerus-modified
tarsi
species
groups,
mean = 9
Mya61.0 (standard deviation) [35]; 2) haleakalae species group,
mean = 10 Mya61.0 (stdev) [35]; 3) modified mouthparts group,
mean = 16
Mya61.0
(stdev)
[35];
4)
picturewing-nudidrosophila
groups, mean = 15 Mya61.0 (stdev) [35]; 5) D. picticornis - planitibia
group, mean = 4.6 Mya60.3 (stdev) [36,37]; 6) virilis group,
mean = 9.4 Mya60.6 (stdev) [29]; 7) virilis subgroup, mean = 4.05
Mya60.6 (stdev) [29]; 8) montana subgroup, mean = 4.9 Mya60.5
(stdev) [29]; and 9) D. mojavensis - D. arizonae, mean = 2.4 Mya60.3
(stdev) [38]. Calibrating times were introduced in the analysis as
priors with a normal distribution; the standard deviation specified
for each calibration point was chosen to include the confidence
limits reported in the respective studies. As some of these
calibration
points
are
approximate
estimates
and
had
no
confidence limits associated to them, analyses were also run using
only 5 calibration points based on geological and climatic data and
that had associated intervals: 1) D. picticornis - planitibia group,
mean = 4.6 Mya60.3 (stdev) [36,37]; 2) virilis group, mean = 9.4
Mya60.6 (stdev) [29]; 3) virilis subgroup, mean = 4.05 Mya60.6
(stdev) [29]; 4) montana subgroup, mean = 4.9 Mya60.5 (stdev)
[29]; and 5) D. mojavensis - D. arizonae, mean = 2.4 Mya60.3 (stdev)
[38]. The divergence between D. picticornis and other species from
the planitibia subgroup has been estimated to have occurred 5.1
mya based on the oldest surface rock of the island of Kauai
[36,37]. Drosophila Diversification Patterns Drosophila Diversification Patterns excludes the genus Hirtodrosophila in contrast to the immigrans-
Hirtodrosophila radiation of Throckmorton [11]. The phylogenetic
position of the funebris group is not well resolved, and some studies
suggest that it is part of the immigrans-tripunctata radiation [15,16]. It
should be noted that the subgenus Drosophila is paraphyletic and
includes the Hawaiian Drosophilidae (Hawaiian Drosophila + genus
Scaptomyza), which form a monophyletic, sister group to the virilis-
repleta radiation [15,17] or to the virilis, robusta, melanica clade within
the virilis-repleta radiation [18]. This Hawaiian lineage comprises
approximately 1000 species and it forms an adaptive radiation of
its own, with a large diversity of forms and ecological niches [19]. some of the taxa had data for just one gene, it has been shown that
highly incomplete taxa can still be accurately placed in the
phylogeny if there are overlapping characters [30]. As the DNA
alignment included non-overlapping characters, analyses were also
run with 153 species for which there was sequence data for 2–3
genes. This controlled for any potential bias introduced in the
phylogenies by non-overlapping characters. Alignment of gene sequences was done with Clustal X v2.0 [31]
with minor adjustments by eye based on the amino-acid trans-
lation of the cds to avoid alignment of non-orthologous nucleotides
and distortion of the ORF. Alignment editing and coding
sequence translation was done in Se-Al v2.0a11 [Rambaut
(1996) http://tree.bio.ed.ac.uk/software/seal/]. ,
g
y
g
[
]
Based on biogeographic data, the origin of the virilis-repleta
radiation has been placed in the Old World tropics, most likely in
the Asiatic tropical regions [11]; from this ancestor two lineages
evolved leading to the Old World tropics (e.g. the polychaeta group)
and temperate species groups (e.g. virilis, robusta and melanica species
groups). A Neotropical radiation, which comprises the repleta,
canalinea, mesophragmatica, dreyfusi, annulimana and nannoptera species
groups, evolved from a third lineage of the Asiatic tropical
ancestor. The origin of the immigrans-tripunctata radiation has also
been placed in the Old World tropics, from where two lineages
arose, the Asiatic immigrans group and the New World tripunctata
radiation that comprises the tripunctata and closely related species
group [11]. From an ecological point of view, the members of the
subgenus Drosophila occupy a wide variety of niches, from sap
feeders (e.g. robusta, melanica and virilis) to cactophilic species (e.g. repleta), mycophagous (e.g. quinaria) and flower feeders (e.g. Phylogenetic Analyses The mean value and associated standard deviation
introduced as normal prior was chosen to incorporate the 1 my
time span (5.1–4.1 mya) described to elapse between the pre-shield
and shield stages according to the models of volcano growth. As
outgroups we used D. melanogaster, D. yakuba, D. ananassae, D. pseudoobscura and D. willistoni. The analyses with 218 spp. and 9
calibration points were run for 2006106 generations, with
sampling every 10000th generations. The first 5000 trees were
discarded as burn-in and the remaining 15001 phylogenies were
summarized using maximum clade credibility. The other three Given the widespread geographic distribution of the different
species groups and the variety of the ecological resources they
exploit, the subgenus Drosophila could represent an adaptive
radiation. In order to test for this hypothesis we have estimated
a time-calibrated phylogeny of 218 species representing the main
species groups of the subgenus Drosophila. This phylogenetic
analysis is the first attempt to date the divergence events of the
main lineages of this group of organisms using a relaxed molecular
clock approach. Therefore, the results of the present study will be
relevant for many research areas because the subgenus Drosophila
includes some of the best-studied model organisms in ecological
and evolutionary research [22,23,24,25,26,27,28]. Based on the
obtained phylogeny, and taking into account topological and
dating uncertainties, we have reconstructed the ancestral states for
the species’ geographic distribution and ecological resource use. We have also investigated the patterns of diversification of those
lineages that dispersed into the Neotropic and acquired the
capacity to exploit new resources. Drosophila Diversification Patterns tripunctata) [13,14], although many of the species are generalists
and can exploit different resources. Cactophily is not observed in
any species outside the lineage including the repleta, nannoptera and
mesophragmatica species groups. As the ability to exploit cacti as an
ecological resource implies acquiring the capacity to degrade an
array of toxic compounds that are produced in rotting cacti
material [20,21], cactophily can be considered an apomorphy of
this Neotropical lineage. Introduction It comprises three major lineages: 1) the funebris
species group; 2) the virilis-repleta radiation; and 3) the immigrans-
tripunctata radiation, which following Remsen and O’Grady [15] The genus Drosophila is a large, diverse and widely distributed
group of organisms [11]. Its taxonomy is relatively well established November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org 1 Ancestral State Reconstruction Two different approaches were used for the ancestral character
state reconstruction of the geographic distribution and ecological
resource use. First it was used the likelihood method implemented
in Mesquite [42]. Character mapping was done on the summa-
rized BI chronogram (218 spp. +9 calibration points) with the
Hawaiian Drosophilidae clade pruned. Being a monophyletic,
derived lineage its removal will not affect the assignment of
ancestral states for the main lineages of the study. Furthermore,
this lineage has been comprehensively investigated in a recent
study [19]. In order to account for phylogenetic uncertainty, the Bayesian
ancestral state reconstruction implemented in SIMMAP v1.5
[43,44] was used. This method estimates the marginal posterior
probabilities of each possible character state at the internal nodes
of a sample of phylogenies. To account for topological uncertainty
we used a random sub-sample of 100 trees from the posterior
distribution of phylogenies obtained with BEAST (218 spp, 9
calibrations). The parameters for the prior distributions of the
models implemented in the analyses were estimated using an
MCMC approach as described in the SIMMAP webpage. The temporal method BDL implemented in LASER was used
to test for departure from constant rate and to detect rate shifts in
the presence of extinction [48]. Rate-constant diversification
models (RC) fitted to the data were pureBirth and birth-death
models. The rate-variable (RV) models tested were the density-
dependent models with exponential and logistic variants (DDX
and DDL) and the yule2rate and yule3rate models, which allow
for two and three different rates of speciation across the phylogeny,
respectively. The models were fitted to the branching times of the
maximum clade credibility (MCC) trees obtained with BEAST
and shifts were only allowed at the branching times. The
significance of the change in the Akaike Information Criterion
(DAIC) scores between the RC and RV models was tested fitting
the models to the branching times of a simulated sample of 5000
trees. In order to account for incomplete sampling, the trees were
simulated to have the total number of species as the lineages
analysed and were then pruned to contain the same number of tips
as our phylogeny. The number of categories introduced in the ancestral re-
construction was restricted by the limitation of SIMMAP 1.5,
which accepts a maximum of 7 character states. Drosophila Diversification Patterns Drosophila Diversification Patterns analyses (218 spp.-5 calibration points, 153 spp.-9 and -5
calibration points) were run for 1006106 generations, sampling
every 10000th generations. The burn-in was set to 10%. In order
to confirm that the MCMC had run long enough to get valid
estimates and establish the burn-in level, results were analysed
with TRACER [39] and the effective sample size (ESS) confirmed
to be greater than 200. The constant-rate (CR) test [45] was used to examine the
departure of the lineage accumulation from the null hypothesis of
a constant rate of diversification. The CR test evaluates the
relative position of nodes in the phylogeny against the expected
under a CR model of diversification using the c statistic, calculated
with LASER [46] in R. Negative values of c indicate that the
nodes are closer to the root than expected, signifying a deceleration
in the rate of diversification; positive values indicate a bias towards
the tips of the tree and denote acceleration in the diversification
rate towards the present. The c-statistic was computed for 1000
posterior distribution trees from each of the two BEAST analyses
to control for the uncertainty in topology and branching times. Incomplete taxon sampling can bias the CR test and, in order to
correct for this effect we adjusted the critical value using the
MCCR test [45] implemented in LASER. The total number of
species in the lineages analysed was obtained from Markow and
O’Grady [14] and the TaxoDros database (Table 1). Number of
Monte Carlo simulations run was 5000. To test the significance of
the empirical c value distribution estimated for the 1000 posterior
trees, the average and median values of c from the 1000 posterior
trees were compared to the critical c value obtained from the null
distribution. A second source of bias in the c-statistic comes from
the violation of the random sampling assumption. It has been
recently shown that non-random taxonomic sampling inflates the
type-I error of the CR and MCCR tests [47]. The degree of bias
introduced in the analysis by non-random sampling is here
evaluated using the scaling parameter a as described by Brock
et al. [47]. Maximum Likelihood (ML) analyses were run using RAxML
7.2.8 [40,41] in CIPRES Science Gateway [33]. The analysis was
performed with a partitioned dataset (one model for each gene
Adh, ND2 and COI) and 1000 rapid bootstrap inferences were
executed with a thorough ML search thereafter. Ancestral State Reconstruction The bio-
geographic categories used in the analyses were based on the
regions of TaxoDros (www.taxodros.uzh.ch): 0 - cosmopolitan
(when one species is found in more than one region); 1 - European;
2 - African; 3 - North American; 4 - Neotropical; 5 - Asian; and 6 -
Australia + Oceania. We are aware that the records for some
species from the database can be dubious, nevertheless, as we are
assessing general trends for a rather large lineage we are confident
that incorrect records for a small proportion of species will not bias
the results or their interpretation. The ecological resources
included were those natural substrates from where Drosophila
adults and larvae have been collected. Following Throckmorton
[11] and Markow and O’Grady [13] with additional information
obtained from the literature (table S2 and references therein), the
following categories were used: 0 - generalist (species that use more
than one type of substrate except cacti); 1 - mycophagous; 2 -
frugivorous; 3 - sap feeders; 4 - cactophilic; and 5 - generalist +
cactophilic (those species that can use any part of any plant
including cacti). In order to detect exceptionally radiating lineages within the
subgenus Drosophila we used MEDUSA [49] implemented in
Geiger [50]. MEDUSA tests among-clade variation in rates of
speciation (and not rate variation through time as the tests above)
by combining phylogenetic information about the timing of splits
with taxonomic richness data. The advantage of this method is
that it accommodates incomplete sampling by using taxonomic
richness information. MEDUSA was run with different backbone
phylogenies containing 13 tips corresponding to the main
monophyletic lineages of the phylogeny and combined with
a species richness table (Table 1). The backbone phylogenies used
were obtained by pruning the MCC trees from the 218 spp. with 9
calibrations and 5 calibrations analyses, to test for possible biases
introduced by the different topologies and divergence dates. Those
species groups that were paraphyletic, were combined into a single
tip thus, the robusta clade was considered to have 44 spp. including
the robusta, melanica, quadrisetata and clefta species groups, and the
tripunctata clade (170 spp.) included the tripunctata, sticta, pallidipennis, Drosophila Diversification Patterns To estimate clade
support, 350 bootstrap replicates were performed. Samples and Gene Sequences The phylogeny of the subgenus Drosophila was reconstructed
using sequences for the nuclear Adh and the mitochondrial ND2
and COI for 218 species representing all the major lineages of the
subgenus (table S1; sequences were obtained from GenBank with
exception of the Adh sequences of some species of the virilis group,
obtained by us [29]). More than 70% of the species included in the
analyses have sequence data for at least two of the genes. While November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org 2 Phylogeny of the Subgenus Drosophila The BI analyses performed with 218 and 153 spp. to control for
the bias of non-overlapping characters, and using 9 or 5
calibration points to control for less robust times of divergence,
resulted in phylogenies that were consistent except for the
placement of the polychaeta and angor groups (Fig. 1–3). The
phylogeny obtained with the ML approach is also consistent in
topology with the 218 (5 calibration points) and 153 spp. (Fig. 1). These results show that the presence of non-overlapping sequences
is not a significant source of bias in the present study. However,
the times of divergence estimated with 5 calibration points were
significantly younger than those resulting from the analyses with 9
points (Fig. 1–3), which is likely the result of the removal of those at
deeper nodes. The crown age of the subgenus Drosophila is placed in the
Eocene/Oligocene transition around 34.33 Mya (30.24–38.30
Mya 95% HPD) when all 9 calibration points are used, while it is
placed in the Oligocene/Miocene transition, 23.79 Mya (19.24–
28.83 Mya 95% HPD), when the calibration points used are
reduced to 5 (Fig. 1 and 3). The phylogeny of the subgenus
includes two clades corresponding to the immigrans-tripunctata [98%
and 100% Bayesian Posterior Probability (BPP) in the BI with 9
and 5 calibrations, respectively; 60% bootstrap in the ML analysis]
and the virilis-repleta (98% and 100% BPP; 55% bootstrap)
radiations. The analysis using 9 calibration points places the
crown ages of these lineages during the early Oligocene around 31
Mya (27.23–35.46 and 27.29–35.13 for the immigrans-tripunctata
and virilis-repleta, respectively). When 5 calibration points were used
the crown ages of these lineages were placed at 20 Mya (15.84–
24.38) and 22.86 Mya (18.67–27.76) for the immigrans-tripunctata
and virilis-repleta lineages, respectively. p
g ,
p
y
The first lineage to diverge within the virilis-repleta radiation in
the BI phylogeny with 218 spp. and 9 calibration points is the
polychaeta species group, with a crown age of 26.63 Mya (22.12–
30.93). However, in the ML and BI (218 spp. and 5 calibration
points; 153 spp.) trees this lineage is placed as the sister group to
the clade comprising the annulimana, nannoptera, dreyfusi, canalinea,
mesophragmatica and repleta species groups, with bootstrap support
,50% and 99% BPP. cardini, guarani, testacea, calloptera, funebris, quinaria and macroptera.
Species richness was taken from TaxoDros and Markow and
O’Grady [14]. cardini, guarani, testacea, calloptera, funebris, quinaria and macroptera. Species richness was taken from TaxoDros and Markow and
O’Grady [14]. Analyses of Diversification Analyses of diversification were run with the phylogenetic
results obtained with 218 spp. and 9 calibration points, and with
153 spp. and 5 calibration nodes to test for potential bias as result
of the different divergence times obtained with the different
calibration points. November 2012 | Volume 7 | Issue 11 | e49552 November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org 3 Drosophila Diversification Patterns Table 1. Summary data for the species groups of the
Drosophila subgenus. Species group
Number spp. Missing spp. angor
7
0
annulimana
16
14
calloptera
8
5
canalinea
14
12
cardini
16
9
clefta
3
0
dreyfusi
9
8
funebris
7
6
guarani
16
11
immigrans
104
84
macroptera
5
4
melanica
13
4
mesophragamatica
13
7
nannoptera
5
2
pallidipennis
1
0
polychaeta
10
3
quadrisetata
12
2
quinaria
33
25
repleta
101
57
robusta
16
2
sticta
1
0
testacea
4
3
tripunctata
79
57
virilis
13
1
Hawaiian Drosophila
1000
972
Number spp. is the extant number of species, missing spp. is the number of
species listed in TaxoDros and Markow and O’Grady [14] not represented in the
phylogeny. doi:10.1371/journal.pone.0049552.t001 Results Table 1. Summary data for the species groups of the
Drosophila subgenus. Species group
Number spp. Missing spp. angor
7
0
annulimana
16
14
calloptera
8
5
canalinea
14
12
cardini
16
9
clefta
3
0
dreyfusi
9
8
funebris
7
6
guarani
16
11
immigrans
104
84
macroptera
5
4
melanica
13
4
mesophragamatica
13
7
nannoptera
5
2
pallidipennis
1
0
polychaeta
10
3
quadrisetata
12
2
quinaria
33
25
repleta
101
57
robusta
16
2
sticta
1
0
testacea
4
3
tripunctata
79
57
virilis
13
1
Hawaiian Drosophila
1000
972
Number spp. is the extant number of species, missing spp. is the number of
species listed in TaxoDros and Markow and O’Grady [14] not represented in the
phylogeny. doi:10.1371/journal.pone.0049552.t001 Phylogeny of the Subgenus Drosophila The crown age of the polychaeta species
group estimated in this case was 18.42 Mya (14.56–22.81) The
monophyly of the repleta radiation, which includes the repleta,
mesophragmatica and canalinea species groups, is recovered although
it is only well supported in the BI trees (85% to 91% BPP). Its sister
clade is formed by the nannoptera and annulimana species groups. D. camargoi, member of the dreyfusi species group, is placed as sister
species to the nannoptera, although this is not well supported by BPP
or bootstrap. The crown age of the repleta radiation is estimated to
be 24.36 Mya (21.04–27.78) or 18.31 Mya (14.61–22.36) with 9 or
5 calibration points, respectively, and it shared a last common
ancestor with its sister species groups (nannoptera and annulimana)
27.76 Mya (24.34–31.50, 218 spp., 9 calibration points) or 19.78
Mya (15.83–24.12, 218 spp., 5 calibration points). The clade
comprising the virilis, Hawaiian Drosophilidae, robusta, melanica,
quadrisetata and angor species groups is recovered with different
support (Fig. 1 and 3). This clade has an estimated crown age of
29.71 Mya (26.37–33.32) and 22.02 Mya with 9 and 5 calibration
points, respectively. The first group to diverge in this clade is the
angor group, with an estimated crown age of 24.91 Mya (21.23–
28.48), but surprisingly it is not recovered as monophyletic in the
BI analysis with 5 calibration points. Also, the angor species group is
placed as the sister clade of the polychaeta-repleta lineage in the BI
analysis with 153 spp. and 9 calibration points (Fig. 2). Monophyly Number spp. is the extant number of species, missing spp. is the number of
species listed in TaxoDros and Markow and O’Grady [14] not represented in the
phylogeny. doi:10.1371/journal.pone.0049552.t001 Number spp. is the extant number of species, missing spp. is the number of
species listed in TaxoDros and Markow and O’Grady [14] not represented in the
phylogeny. doi:10 1371/journal pone 0049552 t001 Test of Macroevolutionary Hypothesis Bursts of diversification can be the result of the invasion of
previously unoccupied ecological niches. Whether adaptation to
cacti in the repleta and closely related species groups has allowed
an increased rate of diversification in this group has been tested
with BiSSE [51], implemented in Mesquite [42]. BiSSE uses
a likelihood-based approach to test the association of a discrete
character, in the present case being cactophilic or not, with the
rate of diversification of different lineages of a phylogeny. The
likelihoods of our empirical data (summarized chronogram of
the Drosophila subgenus and character states) were estimated
under two models, unconstrained and constrained, using BiSSE. The unconstrained model had all parameters (l, m and q) free
to vary while the constrained model was forced to have the
same speciation rate for both character states (l0 = l1). The
statistical significance of the log-likelihoods difference was tested
with a likelihood ratio test assuming a x2 distribution with one
degree of freedom. PLOS ONE | www.plosone.org November 2012 | Volume 7 | Issue 11 | e49552 4 Drosophila Diversification Patterns November 2012 | Volume 7 | Issue 11 | e49552 November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org PLOS ONE | www.plosone.org Drosophila Diversification Patterns Figure 1. Summarized chronogram for the subgenus Drosophila obtained with BEAST using 218 species and 9 calibration points. Numbers on nodes indicate ages for the corresponding nodes; asterisks on branches indicate BPP $ 90% and numbers are bootstrap support values. Bars represent the 95% highest posterior density (HPD) interval for the divergence times. doi:10.1371/journal.pone.0049552.g001 as cosmopolitan, which is in agreement with the holarctic origin
inferred in a recent analysis of the systematics of this group [29]. The ancestral species of the melanica species group has an equivocal
distribution being inferred as Asiatic by the ML approach
(PL = 0.81) and as North American with the Bayesian method
(North America PP = 0.63 vs. Asia PP = 0.32). The Neotropical
origin of the repleta radiation and closely related species groups is
supported by both approaches (PL = 0.68 and PP = 0.75). Simi-
larly, the ancestral species of the annulimana, nannoptera and D. camargoi lineage and the repleta, mesophragmatica and canalinea are also
estimated to be Neotropical. Nevertheless, the repleta species group
has an equivocal origin, as the ML analysis supports a Neotropical
origin (PL = 0.69 vs. Test of Macroevolutionary Hypothesis PL = 0.27 for a distribution across more than
one region, namely the Neotropics and North America) and the
Bayesian method inferred an ancestral distribution across more
than one region (PP = 0.97 Neotropics and North American). A
more detailed analysis of the biogeographic history of the repleta
species group would need a better resolution of the phylogenetic
relationships of the species it comprises. of the Hawaiian Drosophilidae, virilis, robusta, melanica and
quadrisetata species groups is well supported in the BI trees (100%
and 89% BPP with 9 and 5 calibration nodes, respectively)
although the bootstrap support is low in the ML analysis (56%). The crown age of this clade is 27.95 (24.68–31.41) Mya or 21.15
(16.79–25.46) Mya with 9 or 5 calibration nodes, respectively. The
position of the Hawaiian Drosophila differs in the phylogenies, being
monophyletic with virilis in the BI analysis of 218 spp. and 9
calibration points, but being recovered as the sister clade to the
virilis, robusta, melanica, quadrisetata and clefta species groups in the
other analyses (Fig. 2–3). The member of the immigrans clade D. annulipes is placed as sister species to the Hawaiian Drosophila with
high support (Fig. 1 and 3). The robusta species group is recovered
as polyphyletic in the present analysis and very closely related to
the melanica and quadrisetata species groups. The first species of the immigrans-tripunctata radiation to diverge is
D. quadrilineata, a member of the immigrans group. The sister group
is subdivided in two clades, one corresponding to the immigrans
group and the second clade including the tripunctata, pallidipennis,
quinaria, cardini, guarani, testacea, macroptera, calloptera and funebris
species groups (Fig. 1–3). These two clades have crown ages
corresponding to the Oligocene/Miocene transition or mid-
Miocene depending on the analysis. Thus, the tripunctata and
closely related groups have a crown age of 24.84 (21.69–28.04)
Mya with 9 calibration points, or 17.48 (14.05–21.33) Mya with 5
calibration points. The immigrans species group (excluding D. quadrilineata) have crown ages of 22.95 (19.02–26.83) Mya (9
calibration points) or 15.57 (11.91–19.57) Mya (5 calibration
points). The tripunctata is recovered as polyphyletic. The species D. funebris is also recovered as closely related to the quinaria and
macroptera species groups, although its placement differs between
the BI and ML trees. Evolution of Ecological Resource Use g
Results of the ancestral reconstruction of the ecological resource
use are shown in Fig. 4B and Table 3. Results indicate that the
ancestor of the Drosophila subgenus was a generalist, although the
support for this state is not strong in either of the two approaches
(PL = 0.57 and PP = 0.55). The alternatives, however, show also
low probabilities (the second most supported state is frugivore with
a PL = 0.20 and PP = 0.27). The inferred ancestral state of the
immigrans species group is also equivocal; the ML method results
indicate that the ancestral species of the group was a generalist
(PL = 0.51) or frugivorous (PL = 0.48), the Bayesian approach
supports the frugivorous ancestral state with a posterior probability
of 0.88 (the generalist state has a PP of 0.11). The majority of the
species of this group included in the analyses are frugivorous,
nevertheless, six species (D. albomicans, D. oritisa, D. ruberrima, D. signata, D. immigrans and D. curviceps) show a more generalist
ecological usage having been caught in tree sap, fungi and fruit
(table S2 and references included). This indicates that at least some
species retained the ancestral character state of the immigrans-
tripunctata lineage. Within the immigrans-tripunctata lineage the
quinaria and macroptera groups are specialized in using fungi as
resource [although some of the species of this group may be
generalist such as D. quinaria [13]]. In our analyses, it is equivocal
when
these
groups
became
mycophagous. While
the
ML
reconstruction approach inferred that the ancestor of the funebris,
quinaria and macroptera was a generalist with a proportional
likelihood of 0.89, the Bayesian method resulted in a posterior
probability of being mycophagous of 0.55 (0.44 for the generalist
state). Although the species of the funebris group use fungi as
resource, they can also use other resources [13]. The ML and
Bayesian methods indicate that the ancestral species of the quinaria
and macroptera was mycophagous (PL = 0.98 and PP = 0.99). It
should be noted that some of the generalist species of the immigrans
group also use fungi as ecological resource; therefore, we interpret
this as evidence that the mycophagous state is not an apomorphy
but that instead, species have specialized in fungi probably without
losing the capacity to use other ecological resources. November 2012 | Volume 7 | Issue 11 | e49552 Diversification Analysis This indicates
that a type-I error is likely with a little degree of sampling bias and The estimated mean c value for the posterior distribution of
trees of the Drosophila subgenus is 25.184201 (24. 105418 to
26.363904), indicative of a deceleration of the speciation rate. However, results of the MCCR test (total number of species 1506,
missing species 1288) indicate that the negative value obtained
from our distribution of trees is not significant when compared
with the null distribution (critical c value 29.019494, P = 1). The
BDL analysis resulted in a better fit of the rate-variable (RV)
models than the rate-constant (RC) models, and found the
yule3rate model as being the best RC model (Table 4A). Nevertheless, the improvement in AIC (DAIC) of the RV models
was not significant when compared to that observed in a null
sample of 5000 simulated trees (P = 0.9634). This result is
congruent with the CR test and both indicate that a constant
mode of evolution of the Drosophila subgenus cannot be rejected. In order to analyse the effect that the dispersal to the New
World may have had in the diversification pattern of particular
lineages of the subgenus Drosophila, we analysed the clade including
the tripunctata, pallidipennis, cardini, guarani, testacea, calloptera, funebris,
quinaria, sticta and macroptera species groups. These species groups
have a last common ancestor with an inferred Neotropical
distribution. The estimated mean c value for the posterior
distribution
of
1000
trees
is
25.359199
(24.558396
to
26.304164). The MCCR test (assuming a total number of species
of 170 and 120 missing) indicated that the value obtained for the
posterior
distribution
trees
is
significant
(critical
c
value
23.789056, P,0.0006). Furthermore, the BDL analysis found
the RV models to fit better the data than the RC. The logarithmic
density-dependent model (DDL) model showed the lowest AIC
value (Table 4B). This DAIC of the RV models was significant
when compared to a null sample obtained from 5000 simulated
trees (P = 0). Nevertheless, the c value loses its significance at low
levels of non-random sampling (a = 0.55; P.0.05). This indicates
that a type-I error is likely with a little degree of sampling bias and Figure 3. Summarized chronogram for the subgenus Drosophila
obtained with BEAST using 218 species and 5 calibration
points. Numbers on nodes indicate ages for the corresponding nodes;
numbers on branches indicate BPP values. Diversification Analysis Results of the tests obtained with the phylogenies from both BI
inferences were consistent (Table 4 and Table S3). Thus,
henceforth it is reported only the results from the analyses run
with the 218 spp. and 9 calibration points. with the 218 spp. and 9 calibration points. The estimated mean c value for the posterior distribution of
trees of the Drosophila subgenus is 25.184201 (24. 105418 to
26.363904), indicative of a deceleration of the speciation rate. However, results of the MCCR test (total number of species 1506,
missing species 1288) indicate that the negative value obtained
from our distribution of trees is not significant when compared
with the null distribution (critical c value 29.019494, P = 1). The
BDL analysis resulted in a better fit of the rate-variable (RV)
models than the rate-constant (RC) models, and found the
yule3rate model as being the best RC model (Table 4A). Nevertheless, the improvement in AIC (DAIC) of the RV models
was not significant when compared to that observed in a null
sample of 5000 simulated trees (P = 0.9634). This result is
congruent with the CR test and both indicate that a constant
mode of evolution of the Drosophila subgenus cannot be rejected. In order to analyse the effect that the dispersal to the New
World may have had in the diversification pattern of particular
lineages of the subgenus Drosophila, we analysed the clade including
the tripunctata, pallidipennis, cardini, guarani, testacea, calloptera, funebris,
quinaria, sticta and macroptera species groups. These species groups
have a last common ancestor with an inferred Neotropical
distribution. The estimated mean c value for the posterior
distribution
of
1000
trees
is
25.359199
(24.558396
to
26.304164). The MCCR test (assuming a total number of species
of 170 and 120 missing) indicated that the value obtained for the
posterior
distribution
trees
is
significant
(critical
c
value
23.789056, P,0.0006). Furthermore, the BDL analysis found
the RV models to fit better the data than the RC. The logarithmic
density-dependent model (DDL) model showed the lowest AIC
value (Table 4B). This DAIC of the RV models was significant
when compared to a null sample obtained from 5000 simulated
trees (P = 0). Nevertheless, the c value loses its significance at low
levels of non-random sampling (a = 0.55; P.0.05). Patterns of Geographical Dispersal Results obtained with the ML and Bayesian approaches are
consistent (Fig. 4A and Table 2). Analyses placed the root of the
Drosophila subgenus in Asia. The immigrans-tripunctata clade and the
immigrans species group were inferred to have an Asiatic origin,
while the lineage comprising the tripunctata, pallidipennis, quinaria,
cardini, guarani, testacea, macroptera, calloptera and funebris species
groups had a last common ancestor in the Neotropics. Within this
clade, the last common ancestor of the cosmopolitan D. funebris,
the North American quinaria species group (although it includes the
Asiatic D. brachynephros and the cosmopolitan D. kuntzei) and D. macroptera was inferred to have a North American distribution,
although this is better supported in the Bayesian analysis than in
the ML analysis [marginal posterior probability (PP) = 0.95,
proportional likelihood (PL) = 0.55]. The remaining species groups
of this clade (tripunctata, guarani, pallidipennis, calloptera, cardini and
testacea) all have a last common ancestor with an unequivocal
Neotropical range. The virilis-repleta radiation is estimated to have an Asiatic origin. This is further supported by the fact that the first lineage to
diverge, the polychaeta, includes species that are mainly Asiatic. Of
the two main clades of the virilis-repleta radiation, the one
comprising the virilis, robusta, melanica, quadrisetata and angor species
groups had a last common ancestor in Asia. Within this Asiatic
clade, two species groups have dispersed to other geographic
regions. The ancestral range of the virilis species group is estimated The ecological resource of the last common ancestor of the
virilis-repleta radiation is equivocal. The ML approach recon- November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org November 2012 | Volume 7 | Issue 11 | e49552 6 Drosophila Diversification Patterns PLOS ONE | www.plosone.org
7
November 2012 | Volume 7 | Issue November 2012 | Volume 7 | Issue 11 | e49552 November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org 7 PLOS ONE | www.plosone.org Figure 2. Summarized chronogram for the subgenus Drosophila obtained with BEAST using 153 species and 9 calibration points. Numbers on nodes indicate ages for the corresponding nodes; numbers on branches indicate BPP values. Bars represent the 95% highest posterior
density (HPD) interval for the divergence times. doi:10.1371/journal.pone.0049552.g002
Drosophila Diversification Patterns Drosophila Diversification Patterns Figure 2. Summarized chronogram for the subgenus Drosophila obtained with BEAST using 153 species and 9 calibration points. Patterns of Geographical Dispersal Numbers on nodes indicate ages for the corresponding nodes; numbers on branches indicate BPP values. Bars represent the 95% highest posterior
density (HPD) interval for the divergence times. doi:10.1371/journal.pone.0049552.g002 structed the node as generalist (PL = 0.38; the alternative states
frugivore and sap feeder had PL = 0.24), while the Bayesian
method estimated the ancestor to be frugivorous with a posterior
probability of 0.47 (sap feeder PP = 0.25, cactophilic PP = 0.16 and
generalist PP = 0.10). The polychaeta group includes frugivorous
species, and the ancestral state of this lineage is here inferred to be
frugivorous by both methods. The remaining lineages of the virilis-
repleta radiation can be classified depending on the ecological
resource they use. The sap feeder species groups, the virilis, robusta,
melanica and quadrisetata forms one of the two monophyletic lineages
of the radiation; the second clade includes the repleta radiation and
closely related species groups, which are predominantly cactophi-
lic. Nevertheless, within this second clade there are species that are
frugivorous such as the annulimana species group, or that are able to
utilize other plant parts besides cacti, such as some species of the
repleta group ([52], and references therein). However, it is inferred
that the ability to use cacti as an ecological resource first appeared
in the last common ancestor of these groups (PL = 0.55 and
PP = 0.85). Figure 3. Summarized chronogram for the subgenus Drosophila
obtained with BEAST using 218 species and 5 calibration
points. Numbers on nodes indicate ages for the corresponding nodes;
numbers on branches indicate BPP values. Bars represent the 95%
highest posterior density (HPD) interval for the divergence times. doi:10.1371/journal.pone.0049552.g003 Phylogenenetic Inferences in the Subgenus Drosophila Phylogenenetic Inferences in the Subgenus Drosophila
The phylogenies obtained in the present analysis are in general
agreement with previous studies including some of the groups here
analysed [12,15,17,18,54]. Thus, two major clades are identified,
one corresponding to the immigrans-tripunctata radiation and the
other one corresponding to the virilis-repleta radiation, that also
includes the Hawaiian Drosophilidae [15,17,18]. Also in agree-
ment with the previous studies is the paraphyly of the tripunctata,
immigrans, guarani, calloptera and robusta species groups [54,55,56,57]. Within the virilis-repleta radiation, the position of the polychaeta
group is not well resolved. In the BI tree (218 spp. and 9
calibration points) the polychaeta lineage is the sister group to all
other species groups, a topology consistent with previous studies
[15,54,58]. On the other hand, the remaining BI and ML analyses
place the polychaeta as the sister group to the clade comprising the
repleta, annulimana, nannoptera, dreyfusi, canalinea and mesophragmatica,
a relationship observed previously with mitochondrial markers
[54]. The sister relationship between the Hawaiian Drosophila and
the virilis group recovered in the BI analysis (218 spp., 9 calibration
points) is novel, nevertheless this is not supported by the BPP. On
the other hand, the other BI and ML analyses placed the
Hawaiian Drosophila as the sister group of the virilis-robusta-melanica-
quadrisetata clade, a relationship that has been observed in other
studies [18]. Another alternative hypothesis place the Hawaiian
Drosophilidae as the sister lineage of the virilis-repleta [15,17] and The effect that adaptation to cacti may have had in the
speciation rate of the clade including the repleta and closely related
groups has been also tested using BiSSE. Results show no
statistically significant difference in the speciation rates between
the cactophilic clades (l1 = 0.0856) and the non-cactophilic
(l0 = 0.0846) (P.0.05). The comparative method MEDUSA was used to detect clades
with increased rates of diversification within the subgenus. Given
that poorly resolved lineages can bias the results of this method
[53], two backbone trees were used to test for uncertainty bias in
the topology and divergence times (Fig. 5). Results are similar and
indicate that the net rate of diversification is significantly greater in
the Hawaiian Drosophilidae (r = 0.20) than in the other groups of
the subgenus (r = 0.14), but among the non-Hawaiian lineages phic reconstructions obtained with Likelihood (ML) and Bayesian approaches. ble 2. Ancestral biogeographic reconstructions obtained with Likelihood (ML) and Bayesian approaches Table 2. Diversification Analysis Bars represent the 95%
highest posterior density (HPD) interval for the divergence times. doi:10.1371/journal.pone.0049552.g003 November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org 8 Drosophila Diversification Patterns November 2012 | Volume 7 | Issue 11 | e49552 Drosophila Diversification Patterns Figure 4. Ancestral reconstruction of geographic distribution and ecological niche. Trees showing the main dispersal events (A) and
ecological shifts (B) inferred to have occurred during the evolution of the Drosophila subgenus. Clades involved are collapsed and the shift indicated
with symbols above the branch. doi:10.1371/journal.pone.0049552.g004 Figure 4. Ancestral reconstruction of geographic distribution and ecological niche. Trees showing the main dispersal events (A) and
ecological shifts (B) inferred to have occurred during the evolution of the Drosophila subgenus. Clades involved are collapsed and the shift indicated
with symbols above the branch. doi:10.1371/journal.pone.0049552.g004 there are no differences in the rate of diversification. This method
assumes a constant rate of diversification through time, which is
met, as the analyses above indicate no departure from the CR
models. therefore, the significance of the signal of a deceleration in the rate
of diversification with time could be the result of a bias due to non-
random sampling. Similarly to the tripunctata and closely related species groups, the
repleta, annulimana, nannoptera, dreyfusi, canalinea and mesophragmatica
species groups had a last common ancestor with a New World
distribution. Furthermore, the ability to use cacti as ecological
resource was estimated to have evolved in this last common
ancestor. The mean c-statistic value estimated for 1000 trees of the
posterior distribution obtained with BEAST is 22.0340890
(interval from 20.897719 to 23.039011), indicating a decrease
in the lineage accumulation as time proceeds. Nevertheless, this
value is not significant as indicated by the MCCR test (total
number of species 158, missing 100) (critical c value = 23.505972;
P = 0.5087). Furthermore, although the BDL analysis found a RV
model (DDX) to have the best fit to our data (Table 4C), this
improvement was not significant when compared to a null sample
of simulated trees (P = 0.2951). Phylogenenetic Inferences in the Subgenus Drosophila Few fossils belonging to Drosophilids have been
described to date from samples of Dominican Republic amber,
estimated to have been deposited during the early Miocene (,23
Mya) [63]. One of the few is a member of the genus Scaptomyza
[63], which is the sister group of the Hawaiian Drosophila and thus
within the virilis-repleta lineage. Other two extinct species from
Dominican Republic amber, D. poinari and D. succini, have been
described samples as belonging to the genus Drosophila (and sharing
some morphological features with members of the subgenus
Drosophila) [63]. These fossils suggest that by the Oligocene/
Miocene transition some of the lineages of the subgenus Drosophila
were already diverging. This is more compatible with the crown
age of the subgenus Drosophila being 34.33 Mya estimated with 9
calibration points than the 23.79 Mya estimated with 5 calibration
points. cannot be ruled out. The placement in the present analysis of D. annulipes, a member of the immigrans species group, as the sister
species to the Hawaiian Drosophila is similar to that obtained by
Katoh et al. [57]. Within the immigrans-tripunctata lineage, two clades are recovered
in the present study, one corresponding to the immigrans species
group and a second one comprising the tripunctata, pallidipennis,
quinaria, cardini, guarani, testacea, macroptera, calloptera and funebris. This
is consistent with previous studies [12,17,18,55,56]. The sister
species to these two clades is a member of the immigrans species
group, D. quadrilineata, rendering this group paraphyletic; however,
this position has been reported in a previous study [57]. The
polyphyly of the tripunctata species group here observed is in
agreement with other recent study of the group [55]. The D. funebris is placed in the present study together with the quinaria and
macroptera species groups. Although the funebris species group was
considered by Throckmorton [11] to be the sister group of all
other groups of the subgenus Drosophila, previous molecular
analyses have also placed this group within the immigrans-tripunctata
radiation [15,16,56]. Few previous studies have attempted to date the phylogeny of
the subgenus Drosophila. Throckmorton [11] based on biogeo-
graphic information proposed an evolutionary history for the
Drosophilidae, although the divergence times of lineages are only
vaguely specified. Other studies have dated the divergence of some
of the groups using immunological and DNA sequence data
[37,59,60]. Phylogenenetic Inferences in the Subgenus Drosophila Ancestral biogeographic reconstructions obtained with Likelihood (ML) and Bayesian approaches. ML approach
Bayesian approach
Node
region
PL
region
MPP
Drosophila subgenus
Asia
0.92
Asia
0.90
immigrans-tripunctata
Asia
0.85
Asia
0.80
immigransa
Asia
0.93
Asia
0.92
(trip,pall,quin,card,gua,test,macrop,call,fun)
Neotropics
0.98
Neotropics
0.99
quinaria, funebris, macroptera
North America
0.55
North America
0.95
virilis-repleta
Asia
0.96
Asia
0.99
polychaeta + D. fluvialis
Asia
0.98
Asia
0.97
(vir, rob, mel, quad, ang)
Asia
0.99
Asia
0.99
Virilis
.1 region
0.85
.1 region
0.83
robusta, melanica, quadrisetata
Asia
0.99
Asia
0.99
Melanica
Asia
0.81
North America
0.63
Quadrisetata
Asia
0.99
Asia
0.99
rpl, ann, nan, drey, cana, meso
Neotropics
0.68
Neotropics
0.75
repleta radiation
Neotropics
0.72
Neotropics
0.67
repleta
Neotropics
0.69
.1 region
0.97
aexcluding D. quadrilineata. doi:10.1371/journal.pone.0049552.t002
PLOS ONE | www.plosone.org
10
November 2012 | Volume 7 | Issue 11 | e49552 November 2012 | Volume 7 | Issue 11 | e49552 10 PLOS ONE | www.plosone.org Drosophila Diversification Patterns Table 3. Ancestral reconstruction of the ecological resource used obtained with Likelihood (ML) and Bayesian approaches. Table 3. Ancestral reconstruction of the ecological resource used obtained with Likelihood (ML) and Bayesian approaches. ML approach
Bayesian approach
Node
resource
PL
resource
MPP
Drosophila subgenus
unspecific
0.57 unspecific
0.55
immigrans-tripunctata
unspecific
0.80 unspecific
0.98
immigransa
unspecific
0.51 frugivorous
0.88
(trip,pall,quin,card,gua,test,macrop,call,fun)
unspecific
0.99 unspecific
0.99
quinaria, funebris, macroptera
unspecific
0.89 mycophagous
0.55
quinaria, macroptera
mycophagous
0.98 mycophagous
0.99
virilis-repleta
unspecific
0.38 frugivorous
0.47
polychaetab
frugivorous
0.95 frugivorous
0.99
(vir, rob, mel, quad)
sap feeders
0.90 sap feeders
0.99
virilis
sap feeders
0.99 sap feeders
0.99
robusta, melanica, quadrisetata
sap feeders
0.99 sap feeders
0.99
melanica
sap feeders
0.99 sap feeders
0.99
(rpl, ann, nan, drey, cana, meso)
cactophilic
0.55 cactophilic
0.85
repleta radiation
cactophilic
0.70 cactophilic
0.68
repleta
cactophilic
0.91 cactophilic/unspecific+cactophilic
0.49/0.49
aexcluding D. quadrilineata. bnot including the unclassified species D. fluvialis. doi:10.1371/journal.pone.0049552.t003 aexcluding D. quadrilineata. bnot including the unclassified species D. fluvialis. doi:10.1371/journal.pone.0049552.t003 [62]. The use of reliable points of calibration will be of relevance in
obtaining good estimates of species divergence. It is also expected
that the more points are used, the more reliable the estimation will
be. The present study is the first one to estimate times of
divergence using a relaxed molecular clock and a large number of
species. The scarcity of fossil data poses a challenge towards
estimating the origin and evolutionary history of this group of
organisms. Phylogenenetic Inferences in the Subgenus Drosophila Furthermore, two studies have attempted to calibrate
the molecular clock of Drosophila using mutation rates as an
approximation of substitution rates [61,62]. All these studies have
used few species and have resulted in contrasting times of
speciation. These differing times of divergence observed among
studies reflect the uncertainties of the assumptions of the different
methods used. For example, different models of emergence and
colonisation of the Hawaiian islands result in contrasting times of
speciation, or the use of mutation rates to estimate times of
divergence also rely on the use of appropriate generation times According to the results from the analysis including more
calibrations, the divergence between the Drosophila and the
Sophophora (outgroup) subgenera occurred around 36 Mya, which
is a much younger estimate than the 61–65 Mya estimated
using immunological distances [59] and synonymous mutation-
based molecular clock [37], but is similar to the 39 Mya
estimated using the Adh gene [60] and the 32 (25–40) Mya
estimated using the mutation rate as a proxy for substitution
rate [62]. The crown age for the Drosophila subgenus (and,
therefore,
the
divergence
of
the
two
major
lineages,
the
immigrans-tripunctata and virilis-repleta), is in the present study
placed in the late Eocene, approximately 34 Mya, which is
similar to the ,33 Mya divergence estimate between the D. immigrans and D. repleta groups by Russo et al. [60]. This is also 11 November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org Drosophila Diversification Patterns Table 4. Results of fitting diversification models to the
Drosophila subgenus (A), the tripunctata and closely related
species groups (B), and the repleta and closely related species
groups (C). Patterns of Evolution in the Drosophila Subgenus A commonly observed pattern of diversification is that lineage
diversification rates decline through time (e.g. [7,66]). This
density-dependent trend can be explained by an early greater
opportunity for occupying new ecological niches where the
competition pressure is reduced and allows for a rapid di-
versification rate [5,6,7]. This is followed by a decrease in the
speciation rate as the niche becomes saturated and the competition
for ecological space increases. Some authors have suggested that
the diversification of the main lineages of the Drosophila subgenus
occurred rapidly early in the evolution of the group, remaining
stable for a long time until the present [12,67]. Furthermore, the
subgenus contains a large number of species that show a consider-
able diversity in geographic distribution and use a significant
variety of ecological resources. These features are suggestive of an
adaptive radiation. However, results do not support the hypothesis
that the Drosophila subgenus is an adaptive radiation. p
g
p
Dispersal into new areas and evolution of characters that allow
the use of new resources, often result in an ecological opportunity
that leads to adaptive radiations [2,5]. Dispersal of lineages of the
Drosophila subgenus to the New World has occurred at least twice
independently and at similar times; both, the ancestors of the
tripunctata and closely related species groups, and the repleta and
closely related species groups had a Neotropical distribution. These results support the Neotropical origin of these lineages
proposed by Throckmorton [11]. In contrast with the origin of
repleta and closely related species groups, our analyses have not
been able to resolve the ancestral distribution of the repleta species
group. Similarly, a recent analysis of the ancestral geographic
distribution of the repleta species group was not able to place the
origin of this group in either North America or South America,
and the authors suggest that the biogeographic history of this
group is marked by a repeated exchange of fauna between these
subcontinents [64]. Our results would support the hypothesis of
a close relationship between the repleta subgroups of North and
South America. Also, several resource shifts are here inferred to
have occurred from the generalist ancestral state of the subgenus. Phylogenenetic Inferences in the Subgenus Drosophila A)
pureBirth BD
DDL
DDX
yule2rateyule3rate
Parameters r1 = 0.087
r1 = 0.087
a = 0
r1 = 0.126
k = 436.00
r1 = 0.630
x = 0.430
r1 = 0.161
r2 = 0.068
st = 13.34
r1 = 0.161
r2 = 0.089
r3 = 0.057
st1 = 13.34
st2 = 7.42
Ln(L)
211.705
211.705
223.905
227.668
229.101
232.127
AIC
2421.410
2419.410 2443.810
2451.337 2452.203 2454.254
DAIC
32.844
34.844
10.444
2.916
2.051
0
P = 0.9634
B)
pureBirth BD
DDL
DDX
yule2rateyule3rate
Parameters r1 = 0.069
r1 = 0.069
a = 0
r1 = 0.255
k = 51.083
r1 = 1.796
x = 0.975
r1 = 0.181
r2 = 0.034
st = 12.44
r1 = 0.325
r2 = 0.110
r3 = 0.030
st1 = 17.61
st2 = 10.85
Ln(L)
231.142
231.142 212.964
216.367
215.299
211.293
AIC
64.285
66.285
29.927
36.734
36.599
32.585
DAIC
34.358
36.358
0
6.807
6.672
2.658
P = 0.0000
C)
pureBirth BD
DDL
DDX
yule2rateyule3rate
Parameters r1 = 0.090
r1 = 0.090
a = 0
r1 = 0.158
k = 82.055
r1 = 0.434
x = 0.475
r1 = 0.149
r2 = 0.065
st = 10.38
r1 = 0.149
r2 = 0.058
r3 = 0.141
st1 = 10.38
st2 = 0.63
Ln(L)
214.003
214.003 210.824
210.251
29.269
27.943
AIC
30.006
32.006
25.647
24.501
24.538
25.886
DAIC
5.504
7.504
1.146
0
0.037
1.385
P = 0.2951
The phylogeny used was that obtained using the 218 species and 9 calibration
points. P indicates the significance of the DAIC between the rate-constant and
rate-variable models. (BD – Birth-Death model; DDL – Density-dependent
logarithmic model; DDX – Density-dependent exponential model). doi:10.1371/journal.pone.0049552.t004 conditions are likely to have influenced speciation in Drosophila
as well as in other biota. Patterns of Evolution in the Drosophila Subgenus Thus, the ancestor of the repleta and closely related species groups
shifted to a cactophilic state, also observed in a recent study of this
group [64], that of the immigrans and the polychaeta groups became
frugivorous, and the quinaria and macroptera shared a common
ancestor that was mycophagous. Within the repleta species group,
shifts from Opuntia to columnar cacti species have occurred several
times independently [64]. Despite these dispersal events and
ecological shifts, we are not able to detect in any of the clades
tested a pattern of speciation through time consistent with
a density-dependent model, which would be indicative of an
adaptive radiation [7,8]. Furthermore, apart from the Hawaiian
Drosophilidae, there is no evidence for higher rates of di-
versification among the other species groups of the subgenus,
further supporting the lack of influence in the net diversification
rate of the ecological shifts or geographic dispersals. The phylogeny used was that obtained using the 218 species and 9 calibration
points. P indicates the significance of the DAIC between the rate-constant and
rate-variable models. (BD – Birth-Death model; DDL – Density-dependent
logarithmic model; DDX – Density-dependent exponential model). doi:10.1371/journal.pone.0049552.t004 consistent with the Oligocene date proposed by Throckmorton
[11]. Beverly and Wilson [59] estimated the divergence of the
repleta and robusta groups to be 35 Mya, an age that is consistent
with the ,31 Mya our results indicate. The divergence between
the mettleri and mulleri subgroups of the repleta were estimated by
Russo et al. [60] to be of ,16 Mya, while the estimate in the
present analysis is of ,21 Mya. Oliveira et al. [64], using as
calibration points those divergence times of Russo et al. [60]
have also estimated a crown age for the repleta species group of
,16 Mya, an estimate more similar to our results using 5
calibration
points. Nevertheless,
the
phylogenetic
resolution
within
some
groups
is
not
well
supported. Results
here
presented indicate that the major lineages within the two
radiations appeared between the late Oligocene and the first
age of the early Miocene (28.5–20.5 Mya), and by the middle
Miocene epoch most of the species groups had already diverged. This period of time corresponds with a long-term trend of
climate warming that started from 26–27 Mya and lasted until
the middle Miocene (15 Mya), with the exception of brief
periods of glaciation approximately 23 Mya [65]. November 2012 | Volume 7 | Issue 11 | e49552 Patterns of Evolution in the Drosophila Subgenus A) phylogeny backbone from analysis with 218 species and 9 calibration
points; B) phylogeny backbone from analysis with 218 species and 5 calibration points. Tip names refer to the species groups (those polyphyletic
were clustered into a single clade) and numbers in brackets refer to the species richness of the tip. Numbers on nodes indicate divergence times. doi:10.1371/journal.pone.0049552.g005 Figure 5. Backbone topologies used in the MEDUSA analyses. A) phylogeny backbone from analysis with 218 species and 9 calibration
points; B) phylogeny backbone from analysis with 218 species and 5 calibration points. Tip names refer to the species groups (those polyphyletic
were clustered into a single clade) and numbers in brackets refer to the species richness of the tip. Numbers on nodes indicate divergence times. doi:10.1371/journal.pone.0049552.g005 the propensity to radiate of some lineages [72]. In particular,
this study finds that sexual dichromatism, a better proxy than
species mating system for sexual selection intensity, in combi-
nation with ecological opportunity (lake depth) influence the
radiation pattern of cichlids [72]. Thus, the intensity of sexual
selection in species of Drosophila could be a good candidate for
future studies of diversification patterns. species [64]. In contrast we have specifically tested the hypothesis
of an increased rate of speciation in this lineage as a result of
becoming cactophilic, and were not able to reject the constant rate
model. Thus, there is no support for a rapid radiation of the repleta
species group. There is evidence for genetically differentiated host-
races in some of the cactophilic species, indicating the relevance of
cactus species use in the evolution of this group. However, this
differentiation sometimes reflects geographic separation and races
show no reproductive isolation [38,68,69,70,71]. Thus, adaptation
to different cacti species does not necessarily have to be associated
to an increase in the rate of speciation, even though it might be
relevant for the evolution of the clade. Patterns of Evolution in the Drosophila Subgenus These climatic consistent with the Oligocene date proposed by Throckmorton
[11]. Beverly and Wilson [59] estimated the divergence of the
repleta and robusta groups to be 35 Mya, an age that is consistent
with the ,31 Mya our results indicate. The divergence between
the mettleri and mulleri subgroups of the repleta were estimated by
Russo et al. [60] to be of ,16 Mya, while the estimate in the
present analysis is of ,21 Mya. Oliveira et al. [64], using as
calibration points those divergence times of Russo et al. [60]
have also estimated a crown age for the repleta species group of
,16 Mya, an estimate more similar to our results using 5
calibration
points. Nevertheless,
the
phylogenetic
resolution
within
some
groups
is
not
well
supported. Results
here
presented indicate that the major lineages within the two
radiations appeared between the late Oligocene and the first
age of the early Miocene (28.5–20.5 Mya), and by the middle
Miocene epoch most of the species groups had already diverged. This period of time corresponds with a long-term trend of
climate warming that started from 26–27 Mya and lasted until
the middle Miocene (15 Mya), with the exception of brief
periods of glaciation approximately 23 Mya [65]. These climatic Surprisingly, the lineage of cactophilic species groups does not
show any departure from a constant rate of speciation. Despite
colonising the Neotropics and acquiring the capacity to exploit
cacti as ecological resource, no signature of adaptive radiation has
been detected and there is no difference in the diversification rate
between cactophilic and noncactophilic lineages. These results
contrast with the recent suggestion of a rapid radiation of the repleta
species group along its cacti hosts [64]. However, Oliveira et al. do
not test for an increase in the rates of speciation in this group of November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org 12 Drosophila Diversification Patterns Drosophila Diversification Patterns Figure 5. Backbone topologies used in the MEDUSA analyses. A) phylogeny backbone from analysis with 218 species and 9 calibration
points; B) phylogeny backbone from analysis with 218 species and 5 calibration points. Tip names refer to the species groups (those polyphyletic
were clustered into a single clade) and numbers in brackets refer to the species richness of the tip. Numbers on nodes indicate divergence times. doi:10.1371/journal.pone.0049552.g005 Figure 5. Backbone topologies used in the MEDUSA analyses. November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org References 1. Losos JB (2010) Adaptive radiation, ecological opportunity, and evolutionary
determinism. American Society of Naturalists E. O. Wilson award address. Am
Nat 175: 623–639. 28. Perlman SJ, Spicer GS, Shoemaker DD, Jaenike J (2003) Associations between
mycophagous Drosophila and their Howardula nematode parasites: a worldwide
phylogenetic shuffle. Mol Ecol 12: 237–249. 29. Morales-Hojas R, Reis M, Vieira CP, Vieira J (2011) Resolving the phylogenetic
relationships and evolutionary history of the Drosophila virilis group using
multilocus data. Mol Phylogen Evol 60: 249–258. 2. Gavrilets S, Losos JB (2009) Adaptive Radiation: Contrasting Theory with Data. Science 323: 732–737. 3. Glor RE (2010) Phylogenetic insights on adaptive radiation. The Annual Review
of Ecology, Evolution and Systematics 41: 251–270. y g
30. Wiens JJ (2003) Missing data, incomplete taxa, and phylogenetic accuracy. Syst
Biol 52: 528–538. 4. Simpson GG (1953) The Major Features of Evolution. New York: Columbia
University Press. 31. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, et al. (2007) 31. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, et al. (200
Clustal W and Clustal X version 2.0. Bioinformatics 23: 2947–2948. 31. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, et al. Clustal W and Clustal X version 2.0. Bioinformatics 23: 2947–2948. Clustal W and Clustal X version 2.0. Bioinformatics 23: 2947–29 5. Schluter D (2000) The ecology of adaptive radiation. Oxford, UK: Oxford
University Press. 32. Drummond AJ, Rambaut A (2007) BEAST: Bayesian evolutionary analysis by
sampling trees. BMC Evol Biol 7: 214. 6. Yoder JB, Clancey E, Des Roches S, Eastman JM, Gentry L, et al. (2010)
Ecological opportunity and the origin of adaptive radiations. J Evol Biol 23:
1581–1596. 33. Miller MA, Pfeiffer W, Schwartz T (2010) Creating CIPRES Science Gateway
for inference of large phylogenetic trees. New Orleans. 1–8. for inference of large phylogenetic trees. New Orleans. 1–8. 34. Drummond AJ, Ho SY, Phillips MJ, Rambaut A (2006) Relaxed phylogenetics
and dating with confidence. PLoS Biol 4: e88. 7. Rabosky DL, Lovette IJ (2008) Density-dependent diversification in North
American wood warblers. Proc Biol Sci 275: 2363–2371. g
35. Magnacca KM, Foote D, OGrady PM (2008) A review of the endemic Hawaiian
Drosophilidae and their host plants. Zootaxa 1728: 1–58. 8. Phillimore AB, Price TD (2008) Density-dependent cladogenesis in birds. PLoS
Biol 6: 483–489. 36. References Bonacum J, OGrady PM, Kambysellis M, Desalle R (2005) Phylogeny and age
of diversification of the planitibia species group of the Hawaiian Drosophila. Mol
Phylogen Evol 37: 73–82. 9. Weir JT (2006) Divergent timing and patterns of species accumulation in
lowland and highland neotropical birds. Evolution 60: 842–855. 10. Alfaro ME, Karns DR, Voris HK, Brock CD, Stuart BL (2008) Phylogeny,
evolutionary history, and biogeography of Oriental-Australian rear-fanged water
snakes (Colubroidea: Homalopsidae) inferred from mitochondrial and nuclear
DNA sequences. Mol Phylogen Evol 46: 576–593. y g
37. Tamura K, Subramanian S, Kumar S (2004) Temporal patterns of fruit fly
(Drosophila) evolution revealed by mutation clocks. Mol Biol Evol 21: 36–44. 38. Reed LK, Nyboer M, Markow TA (2007) Evolutionary relationships of
Drosophila mojavensis geographic host races and their sister species Drosophila
arizonae. Mol Ecol 16: 1007–1022. 11. Throckmorton LH (1975) The phylogeny, ecology and geography of
Drosophila. In: King RC, editor. Handbook of Genetics. New York: Plenum
Publishing Corporation. 421–469. 39. Rambaut A, Drummond AJ (2007) Tracer v1.4. 40. Stamatakis A (2006) RAxML-VI-HPC: maximum likelihood-based phylogenetic
analyses with thousands of taxa and mixed models. Bioinformatics 22: 2688–
2690. 12. OGrady PM, Markow TA (2009) Phylogenetic taxonomy in Drosophila:
Problems and prospects. Fly 3: 10–14. p
p
y
13. Markow TA, OGrady P (2008) Reproductive ecology of Drosophila. Funct Ecol
22: 747–759. 41. Stamatakis A, Hoover P, Rougemont J (2008) A rapid bootstrap algorithm for
the RAxML Web servers. Syst Biol 57: 758–771. 14. Markow TA, OGrady P (2006) Drosophila: A guide to species identification and
use. London: Academic Press (Elsevier). y
42. Maddison WP, Maddison DR (2010) Mesquite: a modular system for
evolutionary analysis. 2.72 ed. y
y
43. Huelsenbeck JP, Bollback JP (2001) Empirical and hierarchical Bayesian
estimation of ancestral states. Syst Biol 50: 351–366. 15. Remsen J, OGrady P (2002) Phylogeny of Drosophilinae (Diptera: Drosophi-
lidae), with comments on combined analysis and character support. Mol
Phylogen Evol 24: 249–264. y
44. Bollback JP (2006) SIMMAP: Stochastic character mapping of discrete traits on
phylogenies. BMC Bioinformatics 7: 88. y g
16. Tatarenkov A, Zurovcova M, Ayala FJ (2001) Ddc and amd sequences resolve
phylogenetic relationships of Drosophila. Mol Phylogen Evol 20: 321–325. p y g
45. Pybus OG, Harvey PH (2000) Testing macro-evolutionary models using
incomplete molecular phylogenies. Proc R Soc Lond B Biol Sci 267: 2267–2272. 17. Conclusion Our results show that the proposed Drosophila taxonomic
radiations do not correspond to adaptive radiations. Furthermore,
none of the ecological resource shifts or the geographic dispersal
events observed in the phylogeny of the Drosophila subgenus can be
unequivocally linked to an adaptive radiation of the clade. In
particular, the evolution of cactophily should not be invoked as
a general explanation for the diversity of the repleta group. Results
lend support towards the idea that in some groups, the pace of
diversification can be more limited by the rate of speciation (the
time it takes to achieve reproductive isolation) than by the
evolution of new traits or colonisation of new regions, and Despite not having found evidence for adaptive radiation in
the subgenus Drosophila in relation to ecological opportunity as
a result of colonization of new geographic regions or new
ecological resources, it is still possible that other intrinsic
characteristics
could
have
resulted
in
an
increase
in
the
speciation rate of other lineages than the ones explored here. Indeed, a recent study in cichlids shows that it is a combination
of intrinsic characteristics and extrinsic factors that best explains November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org November 2012 | Volume 7 | Issue 11 | e49552 13 Drosophila Diversification Patterns References van der Linde K, Houle D, Spicer GS, Steppan SJ (2010) A supermatrix-based
molecular phylogeny of the family Drosophilidae. Genet Res (Camb) 92: 25–38. 46. Rabosky DL (2006) LASER: A Maximum Likelihood toolkit for detecting
temporal shifts in diversification rates. Evol Bioinform Online 2006: 257–260. 18. OGrady P, DeSalle R (2008) Out of Hawaii: the origin and biogeography of the
genus Scaptomyza (Diptera : Drosophilidae). Biol Lett 4: 195–199. 47. Brock CD, Harmon LJ, Alfaro ME (2011) Testing for temporal variation in
diversification rates when sampling is incomplete and nonrandom. Syst Biol 60:
410–419. 19. O’Grady PM, Lapoint RT, Bonacum J, Lasola J, Owen E, et al. (2011)
Phylogenetic and ecological relationships of the Hawaiian Drosophila inferred by
mitochondrial DNA analysis. Mol Phylogen Evol 58: 244–256. 48. Rabosky DL (2006) Likelihood methods for detecting temporal shifts in
diversification rates. Evolution 60: 1152–1164. 20. Kircher HW (1982) Chemical composition of cacti and its relationship to
sonoran desert Drosophila. In: Barker JSF, Starmer WT, editors. Ecological
genetics and evolution: The cactus-yeast-Drosophila model system. New York:
Academic Press. 143–158. 49. Alfaro ME, Santini F, Brock C, Alamillo H, Dornburg A, et al. (2009) Nine
exceptional radiations plus high turnover explain species diversity in jawed
vertebrates. Proc Natl Acad Sci U S A 106: 13410–13414. vertebrates. Proc Natl Acad Sci U S A 106: 13410–13414 50. Harmon LJ, Weir JT, Brock CD, Glor RE, Challenger W (2008) GEIGER:
investigating evolutionary radiations. Bioinformatics 24: 129–131. 21. Starmer WT, Barker JS, Phaff HJ, Fogleman JC (1986) Adaptations of Drosophila
and yeasts: their interactions with the volatile 2-propanol in the cactus-
microorganism-Drosophila model system. Aust J Biol Sci 39: 69–77. 51. Maddison WP, Midford PE, Otto SP (2007) Estimating a binary character’s
effect on speciation and extinction. Syst Biol 56: 701–710. 22. Barker JSF, Starmer WT (1982) Ecological Genetics and Evolution: The Cactus-
Yeast-Drosophila Model System. New York: Academic Press. 22. Barker JSF, Starmer WT (1982) Ecological Genetics and Evolution 52. Silva-Bernardi ECC, Morales AC, Sene FM, Manfrin MH (2006) Phylogenetic
relationships in the Drosophila fasciola species subgroup (Diptera, Drosophilidae)
inferred from partial sequences of the mitochondrial cytochrome oxidase subunit
I (COI) gene. Genet Mol Biol 29: 566–571. Yeast-Drosophila Model System. New York: Academic Press. 23. Patterson JT, Stone WS (1952) Evolution in the genus Drosophila. New York:
Macmillan. 24. Table S3
(DOCX) reproductive isolation may be a prior requisite for adaptive
divergence to occur [6,73]. reproductive isolation may be a prior requisite for adaptive
divergence to occur [6,73]. Table S1
(XLSX) Conceived and designed the experiments: RMH. Performed the experi-
ments: RMH. Analyzed the data: RMH. Contributed reagents/materials/
analysis tools: JV RMH. Wrote the paper: RMH JV. Conceived and designed the experiments: RMH. Performed the experi-
ments: RMH. Analyzed the data: RMH. Contributed reagents/materials/
analysis tools: JV RMH. Wrote the paper: RMH JV. Author Contributions Table S1
(XLSX)
Table S2
(XLSX) Drosophila Diversification Patterns 56. Robe LJ, Valente VL, Budnik M, Loreto EL (2005) Molecular phylogeny of the
subgenus Drosophila (Diptera, Drosophilidae) with an emphasis on Neotropical
species and groups: a nuclear versus mitochondrial gene approach. Mol
Phylogen Evol 36: 623–640. from a revised phylogeny of the Drosophila repleta species group. Mol Phylogen
Evol 64: 533–544. from a revised phylogeny of the Drosophila repleta species group. Mol Phylogen
Evol 64: 533–544. 65. Zachos J, Pagani M, Sloan L, Thomas E, Billups K (2001) Trends, rhythms, and
aberrations in global climate 65 Ma to present. Science 292: 686–693. 66. Rabosky DL, Lovette IJ (2008) Explosive evolutionary radiations: decreasing
speciation or increasing extinction through time? Evolution 62: 1866–1875. 57. Katoh T, Nakaya D, Tamura K, Aotsuka T (2007) Phylogeny of the Drosophila
immigrans species group (Diptera : Drosophilidae) based on Adh and Gpdh
sequences. Zool Sci 24: 913–921. 67. Powell J (1997) Progress and prospects in Evolutionary Biology: The Drosophila
model. New York: Oxford University Press. 562 p. q
58. Tatarenkov A, Ayala FJ (2001) Phylogenetic relationships among species groups
of the virilis-repleta radiation of Drosophila. Mol Phylogen Evol 21: 327–331. 68. Bono JM, Matzkin LM, Castrezana S, Markow TA (2008) Molecular evolution
and population genetics of two Drosophila mettleri cytochrome P450 genes involved
in host plant utilization. Mol Ecol 17: 3211–3221. 59. Beverley SM, Wilson AC (1984) Molecular Evolution in Drosophila and the
Higher Diptera.2. A Time Scale for Fly Evolution. J Mol Evol 21: 1–13. 69. Hurtado LA, Erez T, Castrezana S, Markow TA (2004) Contrasting population
genetic patterns and evolutionary histories among sympatric Sonoran Desert
cactophilic Drosophila. Mol Ecol 13: 1365–1375. 60. Russo CAM, Takezaki N, Nei M (1995) Molecular Phylogeny and Divergence
Times of Drosophilid Species. Mol Biol Evol 12: 391–404. p
p
61. Cutter AD (2008) Divergence times in Caenorhabditis and Drosophila inferred
from direct estimates of the neutral mutation rate. Mol Biol Evol 25: 778–786. p
p
70. Markow TA, Castrezana S, Pfeiler E (2002) Flies across the water: genetic
differentiation and reproductive isolation in allopatric desert Drosophila. Evolution 56: 546–552. 62. Obbard DJ, Maclennan J, Kim KW, Rambaut A, OGrady PM, et al. (2012)
Estimating Divergence Dates and Substitution Rates in the Drosophila
Phylogeny. Mol Biol Evol Adance Access doi:10.1093/molbev/mss150. 71. Markow TA, Fogleman JC, Heed WB (1983) Reproductive Isolation in Sonoran
Desert Drosophila. Evolution 37: 649–652. 63. References Wittkopp PJ, Carroll SB, Kopp A (2003) Evolution in black and white: genetic
control of pigment patterns in Drosophila. Trends Genet 19: 495–504. (
) g
53. Drummond CS, Eastwood RJ, Miotto ST, Hughes CE (2012) Multiple
continental radiations and correlates of diversification in Lupinus (Leguminosae):
testing for key innovation with incomplete taxon sampling. Syst Biol 61: 443–
460. 25. Morales-Hojas R, Vieira CP, Reis M, Vieira J (2009) Comparative analysis of
five immunity-related genes reveals different levels of adaptive evolution in the
virilis and melanogaster groups of Drosophila. Heredity 102: 573–578. 54. Wang BC, Park J, Watabe HA, Gao JJ, Xiangyu JG, et al. (2006) Molecular
phylogeny of the Drosophila virilis section (Diptera : Drosophilidae) based on
mitochondrial and nuclear sequences. Mol Phylogen Evol 40: 484–500. 26. Hollocher H, Hatcher JL, Dyreson EG (2000) Evolution of abdominal
pigmentation differences across species in the Drosophila dunni subgroup. Evolution 54: 2046–2056. 55. Hatadani LM, McInerney JO, de Medeiros HF, Junqueira ACM, de Azeredo-
Espin AM, et al. (2009) Molecular phylogeny of the Drosophila tripunctata and
closely related species groups (Diptera: Drosophilidae). Mol Phylogen Evol 51:
595–600. 27. Jaenike J (1995) Interactions between Mycophagous Drosophila and Their
Nematode Parasites - from Physiological to Community Ecology. Oikos 72:
235–244. November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org 14 Drosophila Diversification Patterns Grimaldi DA (1987) Amber fossil Drosophilidae (Diptera), with particular
reference to the Hispaniolan taxa. Am Mus Novit 2880: 1–23. 63. Grimaldi DA (1987) Amber fossil Drosophilidae (Diptera), p
72. Wagner CE, Harmon LJ, Seehausen O (2012) Ecological opportunity and sexual
selection together predict adaptive radiation. Nature 487: 366–369. 72. Wagner CE, Harmon LJ, Seehausen O (2012) Ecological oppo reference to the Hispaniolan taxa. Am Mus Novit 2880: 1–23 selection together predict adaptive radiation. Nature 487: 366 64. Oliveira DCSG, Almeida FC, O’Grady PM, Armella MA, DeSalle R, et al. (2012) Monophyly, divergence times, and evolution of host plant use inferred 73. Venditti C, Meade A, Pagel M (2010) Phylogenies reveal new interpretation of
speciation and the Red Queen. Nature 463: 349–352. PLOS ONE | www.plosone.org November 2012 | Volume 7 | Issue 11 | e49552 PLOS ONE | www.plosone.org 15
|
W4388108943.txt
|
http://elibrary.vdi-verlag.de/10.37544/1436-4980-2023-10-60.pdf
|
de
|
Zyklische Scherprüfung metallischer Folien/Cyclic shear testing for metallic foils
|
Werkstattstechnik
| 2,023
|
cc-by
| 3,394
|
T I TE L T H E MA
–
FACHAUFSATZ
Bei diesem Beitrag handelt es sich um einen wissenschaftlich
begutachteten und freigegebenen Fachaufsatz („reviewed paper“).
doi.org/10.37544/1436–4980–2023–10–60
Nutzen von Daten in der Umformtechnik – Potenziale der Digitalisierung
Zyklische Scherprüfung
metallischer Folien
C. Karadogan, M. Beck, P. Cyron, K. R. Riedmüller, M. Liewald
Die Bemühungen zur Emissionsreduktion in den Bereichen
Energie und Mobilität führen zu einer steigenden Nachfrage
nach geformten Bauteilen aus dünnen Metallfolien. Die Herstellung und Auslegung solcher Komponenten gestalten sich
als äußerst anspruchsvoll. Herkömmliche Charakterisierungsversuche für die digitale Auslegung dieser Bauteile stoßen an
ihre Grenzen. Daher wird in diesem Kontext ein innovativer
Versuchsaufbau für den zyklischen Scherversuch vorgestellt,
der die strukturelle Stabilität der Probe erhöht und eine Modellierung des Verfestigungsverhaltens ermöglicht.
Cyclic shear testing for metallic foils
Efforts to reduce emissions in the fields of energy and mobility
lead to an increasing demand for shaped components made
from thin metal foils. Manufacturing and designing such components is highly challenging. Conventional characterization
tests for designing these components digitally are reaching
their limits. In this context, an innovative setup for cyclic shear
testing is introduced, enhancing the structural stability of the
specimen and enabling modeling of the material‘s strengthening behavior.
STICHWÖRTER
Brennstoffzelle, Finite-Elemente-Methode (FEM), Simulation
1 Einleitung
Die steigende Nachfrage nach Elektromobilität, Mikroelektronik und erneuerbaren Energien hat zu einer erheblichen Zunahme der Produktionsvolumina für umgeformte Komponenten aus
dünnen metallischen Folien (Dicke ≤ 100 µm) geführt. Solche
geringen Materialdicken sind eine enorme Herausforderung für
die Machbarkeit und die Robustheit von Umformprozessen, da
dünne metallische Folien insbesondere zu Defekten aufgrund von
Falten- oder Reißerbildung neigen [1–3]. Zudem ist bis heute die
Rückfederung eine wesentliche Herausforderung bei der Erreichung dimensionaler Genauigkeit von Bauteilen aus dünnen Metallfolien [4–6]. In modernen Brennstoffzellen beispielsweise
kommen Bipolarplatten mit äußerst komplexen Flussfeldgeometrien zum Einsatz, die aus dünnen Edelstahlfolien mittels Hohlprägen hergestellt werden. Die Flussfeldgeometrien beziehungsweise die zugehörigen Strömungskanäle auf diesen geprägten
Platten müssen sehr enge Toleranzbereiche innerhalb weniger
Mikrometer in vertikaler und lateraler Richtung erfüllen [4, 7].
Andernfalls können aufgrund dimensionaler Ungenauigkeiten
Schwierigkeiten beim Fügen oder Stapeln der Bipolarplatten, dem
sogenannten Stacking, auftreten, die zu einer verringerten Leistung und Effizienz der gesamten Brennstoffzelle führen.
Finite-Elemente-Simulationen (FE) können zur Auslegung
solch komplexer Umformverfahren herangezogen werden, um
Verfahrensschritte in einem frühen Entwicklungsstadium zu optimieren. Die Genauigkeit dieser Simulationsergebnisse hängt aber
stark von der Modellierung des mechanischen Verhaltens des
Materials ab. Dazu werden in der Regel eine Reihe von Charakte-
438
risierungsversuchen durchgeführt, welche anschließend in mathematische Formulierungen überführt werden [1, 8]. Um die Vorhersagequalität von FEM-Simulationen, insbesondere bei der zu
erwartenden dimensionalen Genauigkeit und Rückfederung des
Bauteils, zu verbessern, empfiehlt es sich, neben Spannungs-Dehnungs-Kurven auch Belastungssequenzen mit Lastumkehr zu berücksichtigen [9]. Das Verhalten bei Lastumkehr kann dann in
komplexen phänomenologischen Materialmodellen wie dem Yoshida-Uemori-Modell zur Modellierung der kinematischer Verfestigung [10] oder dem Chaboche-Modell [11–12] berücksichtigt
werden. Auf diese Weise ist es möglich, die Materialverfestigung
sowie den Bauschingereffekt in der Umformsimulation sehr
genau zu berücksichtigen und eine verbesserte Prognose des
Rückfederungsverhaltens zu erzielen. Neben dem zyklischen
Zug-Druck-Versuch, der für dünne Folien nur wenig praktikabel
ist, kann das Materialverhalten bei zyklischer Last beziehungsweise bei Lastumkehr in einem zyklischen In-Plane-Scherversuch
[13–14] oder in einem zyklischen In-Plane-Torsionsversuch
[15] abgebildet werden.
In diesem Beitrag wird der zyklische In-Plane-Scherversuch
an dünnen metallischen Folien im Detail untersucht. Dieser Versuch kann, bei Nutzung einer entsprechenden Vorrichtung, in
einer konventionellen Zugprüfmaschine umgesetzt werden und
ermöglicht das Abbilden von zyklischen Belastungssequenzen mit
Lastumkehr. Typischerweise wird der zyklische In-Plane-Scherversuch (im Folgenden als zyklischer Scherversuch bezeichnet),
wie in Bild 1 dargestellt, durchgeführt.
Um den nachteiligen Einfluss von Spannungsinhomogenitäten
in der Nähe der freien Kanten zu verringern, wird lediglich ein
https://doi.org/10.37544/1436-4980-2023-10-60, am 13.07.2024, 18:04:58
Open Access –
- https://elibrary.vdi-verlag.de/agb
WT WERKSTATTSTECHNIK BD. 113 (2023) NR. 10
TITELTHEMA
–
FACHAU FS A T Z
Bild 1. a) Schematischer rechteckiger Probenkörper für den zyklischen Scherversuch mit der Dicke t. L = Probenlänge und W = Probenbreite; b) Probe in Belastungsrichtung und unter Lastumkehr. w = Breite des Messbereichs; c) Schematische Spannungs-Dehnungs-Kurve, die durch den Scherversuch ermittelt
wird. Grafik: IFU Universität Stuttgart
schmaler mittiger Bereich der Probe mit einer zyklischen beziehungsweise einer Scherbelastung in der Ebene (in-plane) mit
Lastumkehr beansprucht. Unter der Annahme, dass die geklemmten Bereiche der Probe starr verbleiben und die Inhomogenitäten
an den freien Kanten vernachlässigt werden können, werden die
auftretende wahre Dehnung und Spannung mittels der Gleichungen (1) und (2) ermittelt.
(1)
(2)
Zur Erfassung der tatsächlich auftretenden Scherdehnung innerhalb des Probenbereichs wird empfohlen, die Dehnungsverteilung
mit einer optischen Dehnungsmessung zu erfassen. Außerdem
sollte der Spannungszustand im Messbereich der Probe idealerweise ein ebener sein. Dies ist im Falle von Faltenbildung nicht
gewährleistet. Daher muss die Faltenbildung im Messbereich der
Probe unbedingt unterbunden werden.
Konventionelle Vorrichtungen für Scherversuche mit einem
breiteren Messbereich (wenige Millimeter breit) eignen sich
nicht zur Charakterisierung von dünnen Metallfolien, da diese
aufgrund ihrer geringen strukturellen Stabilität zur Bildung von
Falten und Reißern neigen [1–3]. Vor allem beim Auftreten von
Falten im Messbereich liegt der geforderte ebene Spannungszustand, nämlich eine reine Scherbeanspruchung, nicht mehr vor
und es kommt zu einer Überlagerung verschiedener Spannungszustände. Eine Ermittlung der Scherspannungen und -dehnungen
nach Gleichung (1) und (2) ist dann nicht mehr zulässig. Um
die strukturelle Stabilität der metallischen Folie und insbesondere
des Messbereichs sicherzustellen, muss die Breite des Messbereichs w proportional zur Materialdicke reduziert werden. Eine
solche proportionale Reduktion der Breite des Messbereichs würde im Fall von dünnen metallischen Folien dazu führen, dass sie
für herkömmliche optische Messsysteme zu klein ist.
Diese Herausforderungen haben zur Entwicklung neuer
Ansätze für die Durchführung zyklischer Scherversuche an dünnen metallischen Folien geführt. Sie wurden in zahlreichen ForWT WERKSTATTSTECHNIK BD. 113 (2023) NR. 10
schungsarbeiten vorgestellt und befassen sich hauptsächlich mit
dem Problem der Faltenbildung im Messbereich [9, 16].
Ein Lösungsansatz, um die Faltenbildung während des Scherversuchs zu unterbinden, besteht darin, einen Normaldruck im
Messbereich der Probe mithilfe einer sogenannten Anti-FaltenVorrichtung aufzubringen. Hierzu verwenden Pham et al. [9]
transparente Platten aus Plexiglas, die während des zyklischen
Scherversuchs einen Normaldruck auf den Messbereich der
metallischen Folie bewirken. Nach Aussage der Autoren kann auf
diese Weise die Faltenbildung effektiv vermieden werden, während gleichzeitig optische Dehnungsmessungen aufgrund der
transparenten Platten möglich sind.
Dennoch sind die Anbringung solcher Vorrichtungen zur
Vermeidung von Faltenbildung, das genaue Aufbringen einer
definierten Flächenpressung innerhalb des Messbereichs sowie
das Einsetzen der Probe und der Anti-Falten-Vorrichtung in den
Prüfstand bedeutende Herausforderungen. Insbesondere wenn die
geringe strukturelle Stabilität von dünnen metallischen Folien bedacht wird. Obwohl die Autoren gezeigt haben, dass die Reibung
zwischen der Spannvorrichtung und der Folie keinen wesentlichen Einfluss auf die gemessene Kraft hat, werden keine konkreten Angaben zum Einfluss der Reibung auf das stochastische
Muster auf der Probenoberfläche gemacht [9]. Dieses stochastische Muster ist nötig, um die Dehnungen mittels einer optischen
DIC (Digital Image Correlation)-Dehnungsmessung erfassen zu
können. Es wird angenommen, dass die auftretende Reibung zwischen der transparenten Plexiglasplatte und dem aufgedruckten
beziehungsweise lackierten stochastischen Muster die Messung
des Verzerrungsfeldes verzerren kann.
Basierend auf dem aktuellen Stand der Technik stellt dieser
Beitrag eine neuartige Prüfvorrichtung zur Durchführung von
zyklischen Scherversuchen an dünnen metallischen Folien vor.
Die vorgeschlagene Prüfmethode verbessert die strukturelle Stabilität der Scherprobe im Messbereich und verhindert auf diese
Weise die Faltenbildung während des Versuchs, ohne dass eine
zusätzliche Vorrichtung zur Unterdrückung von Falten erforderlich ist. Die strukturelle Stabilität wird durch eine leichte Krümmung des Messbereichs erzielt, wodurch die Neigung zur Faltenbildung drastisch reduziert wird. Auf diese Weise wird eine konventionelle optische Dehnungsmessungen ermöglicht und die
https://doi.org/10.37544/1436-4980-2023-10-60, am 13.07.2024, 18:04:58
Open Access –
- https://elibrary.vdi-verlag.de/agb
439
T I TE L T H E MA
–
FACHAUFSATZ
Bild 2. a) Simulationsmodell für den konventionellen Scherversuch, b) Simulationsmodell mit dem neuem Prüfaufbau in isometrischer Ansicht und in
Draufsicht. Grafik: IFU Universität Stuttgart
Notwendigkeit einer Vorrichtung zur Vermeidung von Falten
entfällt. Zudem können auf diese Weise potenzielle Reibungseffekte zwischen einem potenziellen stochastischen Muster auf dem
Messbereich und einer zusätzlichen Vorrichtung unterbunden
werden.
Zur Prüfung dieses neuartigen Ansatzes wurden FiniteElemente-Simulationen mit „LS-Dyna“ durchgeführt. Zunächst
wurden die Simulationen darauf ausgerichtet, das Auftreten von
Falten in konventionellen Scherversuchen nachzubilden, um geeignete numerische Parameter zu erhalten. Für die Simulation
kam ein Materialmodell für einen austenitischen Edelstahl
(1.4404/316L) mit einer Dicke von 100 µm zum Einsatz [4].
Anschließend wurden Untersuchungen mit geeigneten Werkzeugwirkflächen und Stützflächen sowie einem gekrümmten Messbereich durchgeführt. Dabei zeigte sich, dass eine leichte Krümmung des Messbereichs der Folie die Faltenbildung im Messbereich effektiv unterdrücken konnte. Darüber hinaus ergab eine
Analyse der resultierenden Kräfte und der Verschiebungen beziehungsweise Dehnungen, dass die geringen Biegespannungen, die
in die Probe eingebracht werden, keine signifikanten Auswirkungen auf die gemessenen Kräfte haben und daher keine nachteiligen Auswirkungen auf die Messergebnisse zu erwarten sind.
2 FE-Modellierung des zyklischen
Scherversuchs und numerische Studien
Um die auftretende Faltenbildung während konventioneller
Scherversuche an dünnen metallischen Folien zu eliminieren,
wurde in den vorliegenden Untersuchungen ein neuer Prüfaufbau
verwendet, der die Scherprobe leicht krümmt und dadurch ihre
strukturelle Stabilität während der Belastungsphasen erhöht, ohne
dass zusätzliche Vorrichtungen auf den gesamten Messbereich
440
einwirken. Die Hypothese, dass Faltenbildung bei dünnen metallischen Folien durch eine leichte Krümmung der Vorrichtung während des Scherversuchs verhindert werden kann, wurde durch
eine Simulation für einen Messbereich von 2 × 30 mm (siehe
Bild 1) an einer Probe aus Edelstahl (1.4404/316L) mit einer
Foliendicke von 0,1 mm geprüft. Dafür wurden zwei Simulationen mit LS-Dyna durchgeführt: eine mit dem konventionellen
Ansatz unter Verwendung einer flachen Scherprobe und eine
zweite mit dem vorgeschlagenen Ansatz, bei dem die Probe mit
einer leichten Krümmung von rc = 5 mm versehen wurde und
von hinten durch eine starre zylindrische Stützfläche im Messbereich gestützt wurde(Bild 2 b) rote Fläche). Eine solche unterstützende Fläche von einer Seite ist sowohl für die Einbringung
der geringfügigen Biegung als auch für die Beibehaltung der gekrümmten Form der Probe beim Durchführen der Scherprüfung
notwendig. Die beiden verwendeten Simulationsmodelle sind in
Bild 2 dargestellt, wobei das verwendete Materialmodell MAT-36
auf Daten aus [4] basiert. Die Simulationen wurden mit Schalenelementen des Typs 16 durchgeführt, die 11 Integrationspunkte
in Richtung der Foliendicke umfassen.
Bild 2 stellt die Prüfkörper beziehungsweise Folienproben in
brauner Farbe dar. Die beiden virtuellen Scherversuche wurden
einer identischen zyklischen Scherbeanspruchung ausgesetzt. In
Bezug auf die gewählte Breite des Messbereichs verformte sich
die Probe zunächst mit einer Scherdehnung von g = 0,3 nach
oben und dann in umgekehrter Richtung bis zu einer Scherdehnung von g = −0,3 (wobei gxy = 2exy). In den FE-Modellen werden die Knoten außerhalb des Messbereichs, die in den realen
Tests durch Spannbacken fixiert werden, durch knotenbasierte
Randbedingungen gesperrt oder in die entsprechenden Richtungen bewegt, um die Scherdeformation herbeizuführen.
https://doi.org/10.37544/1436-4980-2023-10-60, am 13.07.2024, 18:04:58
Open Access –
- https://elibrary.vdi-verlag.de/agb
WT WERKSTATTSTECHNIK BD. 113 (2023) NR. 10
TITELTHEMA
–
FACHAU FS A T Z
Bild 3. Vergleich der Faltenbildung und des -wachstums während des Scherversuchs mit freiem und ebenem Messbereich entsprechend Aufbau Bild 2a)
und finales Ergebnis mit Aufbau Bild 2b) mit zylindrischer Stützfläche. Grafik: IFU Universität Stuttgart
Der konventionelle ebene Scherversuch (Bild 2 a) zeigte dabei
eine starke Faltenbildung im Messbereich, die den beabsichtigten
Spannungszustand stark verfälschte. Eine zuverlässige Messung
der reinen Scherdehnung mit einem optischen Messsystem wäre
in diesem Fall nicht gewährleistet. Der modifizierte Scherversuch
gemäß Bild 2 b) weist eine zylindrische Stützfläche mit einem
Radius von rc = 5 mm auf, welche sich auf der Rückseite des
Messbereichs befindet. In der Simulation wurde der Messbereich
der Probe (braun) mithilfe dieser zylindrischen Stützfläche in
einem ersten Schritt leicht gekrümmt. Das Einbringen dieser
Krümmung beziehungsweise dieses initiale Biegen wurden in der
FEM-Simulation ebenfalls simuliert. So werden die Auswirkungen der geringfügig eingebrachten Spannungen, welche durch die
Biegung entstehen, über die 11 Integrationspunkte in der
Dickenrichtung berücksichtigt. Die Vorderseite der Probe blieb
dabei frei von jeglichem Werkzeugkontakt. Es wurden lediglich
zwei ebenfalls zylindrische Flächen (in Bild 2 b) in blau dargestellt) oberhalb und unterhalb des Messbereichs in einem geringen Abstand zur Probenoberfläche positioniert. Diese zylindrischen Flächen, auch Faltenschilde genannt, sind so konstruiert,
dass das Wachstum von Falten, das normalerweise am oberen
und unteren Rand des Messbereichs aufgrund der Belastung initiiert wird, auf eine unkritische maximale Höhe begrenzt wird.
Umfangreiche Simulationen im Rahmen dieser Studie haben
gezeigt, dass das Begrenzen des Faltenwachstums im oberen und
unteren Bereich der Probe (die nicht zwingend zur Bewertung
der Scherdehnung durch das optische System verwendet werden)
eine weitere Ausbreitung von Falten in den zentralen Messbereich der Probe unterbinden. Der zentrale Messbereich der
Probe kann dabei nach wie vor für eine optische Messung der
sich einstellenden Dehnungen genutzt werden. Es kann angenommen werden, dass der visuell freie Messbereich der Probe repräsentativ für den kompletten Messbereich gültig ist. Ein faltenfreier mittiger Messbereich kann auch durch den alleinigen Einsatz
der gekrümmten Stützfläche erreicht werden (siehe unten
Bild 3).
WT WERKSTATTSTECHNIK BD. 113 (2023) NR. 10
3 Diskussion der Ergebnisse
Die Simulationsergebnisse zeigen, wie in Bild 2 a) dargestellt,
dass es beim konventionellen Scherversuch zu einer übermäßigen
Faltenbildung in der flachen Probe kommt. Im Gegensatz dazu ist
im Messbereich der leicht gekrümmten Probe, wie Bild 2 b) zeigt,
keine Faltenbildung zu beobachten. Dies resultiert aus der erhöhten strukturellen Stabilität des belasteten Querschnitts der Probe
gegenüber Faltenbildung. Die Verwendung von sogenannten
zusätzlichen Faltenschildern kann mit der nachfolgenden Argumentation gerechtfertigt werden: Die Faltenbildung wird beim
zyklischen Scherversuch in den freien Kanten am oberen und unteren Ende des Messbereichs, wie in Bild 3 dargestellt, initiiert.
Diese Falten propagieren anschließend mit zunehmender
Scherdehnung in den Bereich der Probenmitte beziehungsweise
in die Mitte des Messbereichs. Durch eine Begrenzung der Höhe
der initialen Falten durch sogenannte Faltenschilder kann ein
weiteres Anwachsen sowie Propagieren der Falten verhindert
werden. Dabei wird initial kein Druck auf die Probenoberfläche
aufgebracht und erst im weiteren Verlauf des Scherversuchs werden Falten im Messbereich durch eine lokale und leichte Berührung unterbunden. Der Einfluss der Faltenschilder auf das finale
Ergebnis ist hierbei marginal, wie im weiteren Verlauf der Untersuchungen gezeigt wird.
Um sicherzustellen, dass die leichte Krümmung des Messbereichs der Probe vernachlässigbare Auswirkungen auf die
Messgenauigkeit und die Auswertung von Schubspannungen und
-dehnungen hat, wurden die Kräfte und die Verschiebungen
sowohl aus dem konventionellen Scherversuch (siehe Bild 2 a)
und aus dem neuen Ansatz mit gekrümmten Messbereich (siehe
Bild 2 b) miteinander verglichen. Für einen geeigneten Vergleich
wurde zusätzlich eine ideelle Probe mit ebenem und freiem
Messbereich ohne Stützfläche herangezogen. In dieser ideellen
Version wird die Faltenbildung durch das Sperren des Freiheitsgrades senkrecht zur Probenoberfläche verhindert. Ein Vergleich
der resultierenden Kräfte im ideellen, im konventionellen und im
https://doi.org/10.37544/1436-4980-2023-10-60, am 13.07.2024, 18:04:58
Open Access –
- https://elibrary.vdi-verlag.de/agb
441
T I TE L T H E MA
–
FACHAUFSATZ
Bild 4. Vergleich der berechneten Kraftwerte und der Scherdehnungen für eine ideelle ebene Probe mit einer gekrümmten Probe mit Stützfläche und mit
einer ebenen Probe ohne Stützfläche. Grafik: IFU Universität Stuttgart
neuen Versuchsaufbau mit gekrümmtem Messbereich ist in
Bild 4 dargestellt.
Es zeigt sich, dass sich zwischen den Kraftverläufen der ideellen Version und dem Versuchsaufbau mit gekrümmtem Probenbereich nur eine vernachlässigbare Abweichung einstellt. Im Gegensatz zur konventionellen ebenen Probe (rote Kurve in Bild 4)
zeigt die gekrümmte Probe einen nahezu gleichen Kraftverlauf,
wie auch die Probe im ideellen Szenario. Außerdem zeigen die
Scherdehnungen g, die auf Grundlage der Knotenverschiebungen
der Probe in der Simulation berechnet werden, keine signifikanten Unterschiede zwischen der gekrümmten und der idealisierten
Probe.
Die Ergebnisse zeigen, dass der vorgeschlagene neue Prüfaufbau mit einem gekrümmten Probenbereich eine effektive
Methode zur Reduktion der Faltenbildung beim Scherversuch an
dünnen metallischen Folien ist.
4 Zusammenfassung und Ausblick
Dieser Beitrag präsentiert einen neuartigen Ansatz zur Durchführung von zyklischen Scherversuchen an dünnen metallischen
Folien. Durch die Einführung einer leichten Krümmung der Probe im Messbereich kann die Bildung unerwünschter Falten vermieden werden, wodurch eine zuverlässige Messung und Berechnung von Schubspannungen und -dehnungen im Messbereich
möglich wird. Zur Überprüfung dieses Ansatzes wurden FiniteElemente-Simulationen unter Verwendung vom LS-Dyna durchgeführt, um den Machbarkeitsnachweis zu erbringen.
Die Simulationen konventioneller Scherversuche zeigten, dass
die Faltenbildung in der Regel an den freien Kanten des Messbereichs der Probe oben und unten beginnt und sich anschließend
nach innen ausbreitet. Durch die Krümmung des Messbereichs
der Probe in eine leicht zylindrische Form unter Verwendung
einer Stützfläche und die zusätzliche Nutzung sogenannter
Faltenschilder wird ein faltenfreier Messbereich sichergestellt, der
optisch zuverlässig vermessen werden kann. Ein Vergleich der
Kraft- und Scherdehnungsverläufe der unterschiedlichen Versuchsaufbauten hat gezeigt, dass die beim Krümmen der Probe
auftretende Biegespannung keinen Einfluss hat und daher
vernachlässigt werden kann (siehe Bild 4). Zukünftige Arbeiten
442
werden sich auf weitere Untersuchungen mit unterschiedlichen
Biegeradien sowie mit verschiedenen Folienmaterialien unterschiedlicher Dicke konzentrieren. Zur Validierung des vorgeschlagenen Konzepts wird eine geeignete Testeinrichtung für
experimentelle Untersuchungen aufgebaut werden.
DANKSAGUNG
Diese Arbeit wurde im Rahmen des Arbeitskreises „Folienumformung“ am Institut für Umformtechnik sowie im Rahmen
des trilateralen Transferprojekts AKS-Bipolar der DFG (Deutsche Forschungsgemeinschaft) und der Fraunhofer-Gesellschaft (DFG-Projekt 460294948) durchgeführt. Die Autoren
danken der DFG und dem Arbeitskreis Folienumformung
für Ihre Unterstützung.
L i tera tu r
[1] Vollertsen, F.; Biermann, D.; Hansen, H.N. et al.: Size effects in manufacturing of metallic components. CIRP Ann Manuf Technol 58 (2009)
2, pp. 566–587
[2] Neto, D. M.; Oliveira, M. C.; Alves, J. L. et al.: Numerical study on the
formability of metallic bipolar plates for proton exchange membrane
(PEM) fuel cells. Metals 9 (2019) 7, # 810
[3] Hu, Q.; Zhang, D.; Fu, H. et al.: Investigation of stamping process of
metallic bipolar plates in PEM fuel cell – numerical simulation and experiments. International Journal of Hydrogen Energy 39 (2014) 25,
pp. 13770–13776
[4] Beck, M.; Riedmüller, K. R.; Liewald, M. et al.: Investigation on the influence of geometric parameters on the dimensional accuracy of highprecision embossed metallic bipolar plates. In: Liewald, M. (Hrsg.):
Production at the Leading Edge of Technology. Proceedings of the 12th
Congress of the German Academic Association for Production Technology (WGP), Stuttgart, 2022 pp. 427–438
[5] Bauer, A.: Experimentelle und numerische Untersuchungen zur Analyse der umform-technischen Herstellung metallischer Bipolarplatten.
Dissertation, TU Chemnitz, 2020
[6] Adzima, F.; Balan, T.; Manach, P. Y.: Springback prediction for a mechanical micro connector using CPFEM based numerical simulations. International Journal of Material Forming 13 (2020) pp. 649–659
[7] Porstmann, S.; Wannemacher, T.; Drossel, W. G.: A comprehensive
comparison of state-of-the-art manufacturing methods for fuel cell bi-
https://doi.org/10.37544/1436-4980-2023-10-60, am 13.07.2024, 18:04:58
Open Access –
- https://elibrary.vdi-verlag.de/agb
WT WERKSTATTSTECHNIK BD. 113 (2023) NR. 10
TITELTHEMA
polar plates including anticipated future industry trends. Journal of
Manufacturing Processes 60 (2020) pp. 366–383
[8] Vollertsen, F.; Schulze Niehoff, H.; Hu, Z.: State of the art in micro forming. I International Journal of Machine Tools and Manufacture 46
(2006) 11, pp. 1172–1179
[9] Pham, C.; Adzima, F.; Coër, J. et al.: Anti-buckling device for ultra-thin
metallic sheets under large and reversed shear strain paths. Experimental Mechanics 57 (2017) pp. 593–602
[10] Yoshida, F.; Uemori, T.: A model of large-strain cyclic plasticity and its
application to springback simulation. International Journal of Mechanical Sciences 45 (2003) 10, pp. 1687–1702
[11] Chaboche, J.L.: Time-independent constitutive theories for cyclic plasticity. International Journal of Plasticity 2 (1986) 2, pp. 149–188
[12] Chaboche, J.L.: Constitutive equations for cyclic plasticity and cyclic
viscoplasticity. International Journal of Plasticity 5 (1989) 3,
pp. 247–302
[13] Bouvier, S.; Haddadi, H.; Levée, P. et al.: Simple shear test: experimental techniques and characterization of the plastic anisotropy of rolled
sheets at large strains. Journal of Materials Technology 172 (2006)
pp. 96–103
[14] Yin, Q.; Zillmann, B.; Suttner, S. et al.: An experimental and numerical
investigation of different shear test configurations for sheet metal characterization. International Journal of Solids and Structures 51 (2014)
5, pp. 1066–1074
[15] Brosius, A.; Yin, Q.; Güner, A. et al.: A new shear test for sheet metal
characterization. Steel Research International 82 (2011) 4, pp. 323–328
[16] Zhang, P.; Pereira, M. P.; Abeyrathna, B. et al.: Improving the shear test
to determine shear fracture limits for thin stainless steel sheet by shape optimisation. International Journal of Mechanical Sciences 164
(2019), #105116
–
FACHAU FS A T Z
Dr. sc. techn. C e l a l e t t i n
K a ra do ga n
Foto: IFU Stuttgart
M ax i m
B e c k , M. Sc.
Pa t ri ck
C y r o n , M. Sc.
Dr.-Ing. K i m
R o u ve n
R ie d m ül l e r
Univ.-Prof. Dr.-Ing. M a t h i a s
L i e w a l d MBA
Institut für Umformtechnik (IFU), Universität Stuttgart
Holzgartenstr. 17, 70174 Stuttgart
Tel. +49 711 / 985-838 40
sekretariat@ifu.uni-stuttgart.de
www.ifu.uni-stuttgart.de
LIZENZ
Dieser Fachaufsatz steht unter der Lizenz Creative Commons
Namensnennung 4.0 International (CC BY 4.0)
WT WERKSTATTSTECHNIK BD. 113 (2023) NR. 10
https://doi.org/10.37544/1436-4980-2023-10-60, am 13.07.2024, 18:04:58
Open Access –
- https://elibrary.vdi-verlag.de/agb
443
|
|
https://openalex.org/W2906727739
|
https://www.ped-perinatology.ru/jour/article/download/778/727
|
Russian
| null |
Dental health of adolescents with arterial hypertension: rationale for approaches to prevention using calcium glycerophosphate and magnesium chloride
|
Rossijskij vestnik perinatologii i pediatrii
| 2,018
|
cc-by
| 4,164
|
L.R. Kolesnikova1,2, A.V. Pogodina1, M.V. Fedotova3, L.V. Rychkova1, O.V. Valyavskaya1 1Scientific Center for Family Health and Human Reproduction, Irkutsk, Russia;
2Irkutsk State Medical University, Irkutsk, Russia;
3Lyutikov’s Clinics, Irkutsk, Russia Резюме. Цель исследования: охарактеризовать состояние стоматологического здоровья подростков с артериальной ги-
пертензией и разработать на основе полученных результатов комплекс лечебно-профилактических мероприятий, позво-
ляющий повысить его уровень. В исследование включено 130 подростков (65 – с артериальной гипертензией, 65 – кон-
трольной группы) в возрасте 14,3 ± 2 года. Уровень систолического артериального давления при офисном измерении
у подростков в основной группе был выше такового в группе контроля (126,6 ± 12,6 мм рт. ст. против 113,2 ± 7,4 мм рт. ст.,
p=0,00009), при том что уровень диастолического давления был сопоставимым. Полученные данные свидетельствуют
о том, что подростков с артериальной гипертензией характеризуют неудовлетворительные показатели гигиены полости
рта и значительно большая частота основных стоматологических заболеваний: кариеса зубов и пародонтита. Это обосно-
вывает выделение подростков с артериальной гипертензией в группу, уязвимую как по развитию новых, так и по прогрес-
сированию имеющихся заболеваний зубочелюстной системы, что может оказывать существенное ухудшающее влияние
на кардиоваскулярное здоровье. Все это диктует необходимость разработки системы профилактических действий, кото-
рые должны строиться на основании междисциплинарного подхода с активным участием специалистов соматического
и стоматологического профиля. Ключевые слова: подростки, артериальная гипертензия, кариес зубов, заболевания пародонта, глицерофосфат кальция, хло-
рид магния. Для цитирования: Колесникова Л.Р., Погодина А.В., Федотова М.В., Рычкова Л.В., Валявская О.В. Стоматологическое здоровье под-
ростков с артериальной гипертензией: обоснование рациональных подходов к профилактике с использованием глицерофосфата каль-
ция и хлорида магния. Рос вестн перинатол и педиатр 2018; 63:(6): 98–102. DOI: 10.21508/1027–4065–2018–63–5–98–102 Summary. Objective: to characterize the dental health of adolescents with arterial hypertension and to increase its level with a com-
plex of therapeutic and prophylactic measures based on the results obtained. The study included 130 adolescents (65 – with arterial
hypertension and 65 – control group) of 14.3 ± 2 years old. The level of systolic blood pressure in the main group was higher than that
of the adolescents in the control group (126.6 ± 12.6 mm Hg vs 113.2 ± 7.4 mm Hg, p=0.00009), while the level of diastolic blood
pressure was comparable. The data obtained suggest that adolescents with arterial hypertension are characterized by unsatisfactory
oral hygiene indicators and a significantly higher incidence of major dental diseases: dental caries and periodontitis. Стоматологическое здоровье подростков с артериальной гипертензией: обоснование
рациональных подходов к профилактике с использованием глицерофосфата кальция
и хлорида магния Л.Р. Колесникова1,2, А.В. Погодина1, М.В. Федотова3, Л.В. Рычкова1, О.В. Валявская1 1ФГБНУ «Научный центр проблем здоровья семьи и репродукции человека», г. Иркутск, Россия;
2ФГБОУ ВО «Иркутский государственный медицинский университет» Минздрава России, г. Иркутск
3Клиника доктора Лютикова, г. Иркутск, Россия ОБМЕН ОПЫТОМ ОБМЕН ОПЫТОМ Стоматологическое здоровье подростков с артериальной гипертензией: обоснование
рациональных подходов к профилактике с использованием глицерофосфата кальция
и хлорида магния L.R. Kolesnikova1,2, A.V. Pogodina1, M.V. Fedotova3, L.V. Rychkova1, O.V. Valyavskaya1 It justifies the
selection of adolescents with arterial hypertension in a group that is vulnerable both to the development of new and to the progression
of existing diseases of the dental-maxillary system, which can significantly worsen cardiovascular health. Therefore, there is a need
to develop a system of preventive actions built on the basis of an interdisciplinary approach with the active participation of somatic
and dental specialists. For citation: Kolesnikova L.R., Pogodina A.V., Fedotova M.V., Rychkova L.V., Valyavskaya O.V. Dental health of adolescents with arterial hyper-
tension: rationale for approaches to prevention using calcium glycerophosphate and magnesium chloride. Ros Vestn Perinatol i Pediatr 2018;
63:(6): 98–102 (in Russ). DOI: 10.21508/1027–4065–2018–63–5–98–102 Рычкова Любовь Владимировна – д.м.н., проф., директор Научного цен-
тра проблем здоровья семьи и репродукции человека
664003 Иркутск, ул. Тимирязева, д. 16
Валявская Ольга Владимировна – к.м.н., врач отделения функциональ-
ной диагностики Клиники Научного центра проблем здоровья семьи
и репродукции человека, ORCID: 0000-0001-9727-2229
664043 Иркутск, ул. Дальневосточная, д. 67А
Федотова Марина Викторовна – к.м.н., стоматолог-ортодонт стоматоло-
гической клиники доктора Лютикова, ORCID: 0000-0002-4667-1497.
664011 Иркутск, ул. Российская, д. 13 adolescents, arterial hypertension, dental caries, periodontal disease, calcium glycerophosphate, magnesium chloride. Key words: adolescents, arterial hypertension, dental caries, periodontal disease, calcium glycerophosphate, magnesiu Характеристика детей и методы исследования Основная группа (n=65) была сформирована
из числа подростков, направленных в клинику Науч-
ного центра проблем здоровья семьи и репродукции
человека по поводу повышения уровня артериально-
го давления. Критериями включения были: возраст
10–17 лет; уровень систолического и/или диасто-
лического артериального давления за любой период
суток выше 95-го процентиля для данного возраста,
роста и пола или выше уровня, принятого за отрез-
ную точку диагностики артериальной гипертензии
для взрослых (суточное 130/80 мм рт. ст., дневное
135/85 мм рт. ст., ночное 125/75 мм рт. ст.) [22]. Под-
ростки, у которых в ходе обследования был установ-
лен вторичный характер повышения артериального
давления, из исследования исключались. Группа контроля (n=65) была сформирована из чис-
ла подростков, направленных в клинику по поводу со-
стояний, не ассоциированных с повышением уровня
артериального давления, а также из школьников, про-
ходивших плановый осмотр у стоматолога. Критерием
включения в группу контроля было наличие нормаль-
ного уровня артериального давления при трехкрат-
ном измерении. Формирование групп осуществлялось
по принципу «случай–контроль», так что каждому
подростку основной группы (случай) соответствовал
подросток в группе контроля того же пола и возраста
(контроль). Родители / законные представители под-
ростков, а также подростки старше 15 лет подписали
информированное добровольное согласие на участие
в исследовании. Общими критериями исключения
были: наличие тяжелых соматических заболеваний;
проводимое в настоящее время ортодонтическое лече-
ние; наличие сахарного диабета; аномалии прикуса. До недавних пор в медицине доминировало пред-
ставление о стоматологических заболеваниях как о
локальной патологии. В настоящее время проведен-
ные исследования меняют парадигму взглядов и про-
слеживается иная концепция, согласно которой су-
ществует очевидное взаимовлияние соматического
здоровья и стоматологических заболеваний. Высокая
распространенность и постоянный прирост основных
стоматологических заболеваний, их роль в формиро-
вании хронического одонтогенного очага инфекции,
а также разработка планов лечения и профилактики
патологии вызывают постоянный интерес к указанной
проблеме [11–13]. В ряде исследований показаны зна-
чимые ассоциации высокого артериального давления
и стоматологических заболеваний [14–16]. Многочис-
ленные зарубежные и отечественные исследования,
в том числе и экспериментальные, демонстрируют
влияние преморбидного фона на морфофункциональ-
ной состояние челюстно-лицевой области [17–19]. Несмотря на то что этиологические факторы кариеса
зубов и заболеваний пародонта изучались длительный
период, парадигма стоматологии лишь в последнее
время стала склоняться не только к учету коморбид-
ных и полиморбидных состояний у пациентов сто-
матологического профиля, но и к их интерпретации
как постоянного и важного звена в непрерывной цепи
стоматологической и соматической патологии. © Коллектив авторов, 2018 Адрес для корреспонденции: Колесникова Лариса Романовна – к.м.н.,
н.с. лаборатории педиатрии и кардиоваскулярной патологии Научного
центра проблем здоровья семьи и репродукции человека, асс. кафедры
стоматологии детского возраста Иркутского государственного медицин-
ского университета, ORCID: 0000-0003-2161-6034 664003 Иркутск, ул. Красного Восстания, д. 1 Погодина Анна Валерьевна – д.м.н., гл.н.с. лаборатории педиатрии и кар-
диоваскулярной патологии Научного центра проблем здоровья семьи
и репродукции человека РОССИЙСКИЙ ВЕСТНИК ПЕРИНАТОЛОГИИ И ПЕДИАТРИИ, 2018; 63:(6)
ROSSIYSKIY VESTNIK PERINATOLOGII I PEDIATRII, 2018; 63:(6) РОССИЙСКИЙ ВЕСТНИК ПЕРИНАТОЛОГИИ И ПЕДИАТРИИ, 2018; 63:(6)
ROSSIYSKIY VESTNIK PERINATOLOGII I PEDIATRII, 2018; 63:(6) Колесникова Л.Р. и соавт. Стоматологическое здоровье подростков с артериальной гипертензией... А
р
я А
ртериальная гипертензия у детей и подростков
является актуальной проблемой современной
клинической медицины. Многочисленными иссле-
дованиями показано, что истоки возникновения сер-
дечно-сосудистых заболеваний у взрослых следует
искать именно в детском и подростковом возрасте,
однако многие аспекты этой проблемы в данный воз-
растной период остаются недостаточно изученными
[1–5]. По материалам популяционных исследований,
проведенных в нашей стране, распространенность
повышенного артериального давления в детском
и подростковом возрасте варьирует от 2,4 до 18%
[6–9]. Артериальная гипертензия сопровождается
многочисленными полисистемными нарушениями,
снижением иммунитета, ранним возникновением
атерогенных сдвигов, значительным дисбалансом
нейровегетативных и эндокринных влияний, суще-
ственными изменениями центральной и региональ-
ной гемодинамики [10]. Результаты и обсуждение В исследование включены 130 подростков в возра-
сте 14,3 ± 2 года. Подростки основной группы значи-
тельно чаще, чем подростки контрольной группы, стра-
дали хроническим тонзиллитом – 8 (12,3%) и 1 (1,5%),
p=0,033 и ожирением – 28 (43,1%) и 4 (6,4%), p=0,00001
соответственно. Уровень систолического артериально-
го давления при офисном измерении ожидаемо был
выше у подростков в группе контроля (126,6 ± 12,6 мм
рт.ст. против 113,2 ± 7,4 мм рт. ст., p=0,00009), при том
что уровень диастолического артериального давления
был сопоставимым. Сравнивая
индексные
показатели,
получен-
ные при обследовании тканей пародонта, выявлено,
что подростки в контрольной группе в 3 раза чаще
имеют здоровый пародонт, чем подростки с артери-
альной гипертензией (41,5 и 13,8% соответственно;
p=0,0004). И если число подростков, которых можно
отнести к группе риска по развитию заболеваний па-
родонта, было сопоставимым в обеих группах, то кли-
нически выраженный пародонтит у подростков с арте-
риальной гипертензией наблюдался значительно чаще
и включал среднетяжелые формы заболевания, кото-
рые в группе контроля не диагностировались (табл. 2). При стоматологическом обследовании в груп-
пе контроля интактный зубной ряд был выявлен
в 50,8% случаев, что в 2,2 раза превышало аналогич-
ный показатель у подростков с артериальной гипер-
тензией – 23,1% (р=0,001). Соответственно частота
встречаемости кариеса зубов в группе подростков
с артериальной гипертензией была значительно
выше таковой в контроле (табл. 1). Следует отметить,
что указанные различия реализовались за счет боль- Таблица 1. Частота встречаемости кариеса зубов в группах обследованных подростков, абс (%)
Table 1. Frequency of occurrence of dental caries in the groups of the examined adolescents, аbs (%) Таблица 1. Частота встречаемости кариеса зубов в группах обследованных подростков, абс (%)
Table 1. Frequency of occurrence of dental caries in the groups of the examined adolescents, аbs (%) Показатель
Контрольная группа (n=65)
Основная группа (n=65)
р
Частота встречаемости в группе
В том числе:
1-я степень активности кариеса
2-я степень активности кариеса
3-я степень активности кариеса
32 (49,2)
9 (13,8)
14 (21,5)
9 (13,8)
50 (76,9)
21 (32,3)
19 (29,2)
10 (15,4)
0,001
0,012
0,314
0,804
П
* С Показатель
Контрольная группа (n=65)
Основная группа 100
РОССИЙСКИЙ ВЕСТНИК ПЕРИНАТОЛОГИИ И ПЕДИАТРИИ, 2018; 63:(6)
ROSSIYSKIY VESTNIK PERINATOLOGII I PEDIATRII, 2018; 63:(6)
Таблица 2. Частота встречаемости заболеваемости пародонта в группах обследованных подростков, абс (%)
Table 2. ОБМЕН ОПЫТОМ Для анализа полученных данных использовали
статистический пакет STATISTICA 6.1 StatSoftInc,
США. Для определения близости к нормальному
закону распределения количественных признаков
применяли визуально графический метод и крите-
рии согласия Колмогорова–Смирнова с поправкой
Лиллиефорса и Шапиро–Уилка. Проверка равенства
генеральных дисперсий осуществлялась с помощью
критерия Фишера (F-test). При анализе межгруппо-
вых различий по количественным переменным ис-
пользовали непараметрический критерий Манна–
Уитни, по качественным переменным – критерий χ2
и двусторонний критерий Фишера при малой чис-
ленности групп. Критический уровень значимости
принимался равным 5 % (0,05). шей частоты у подростков с артериальной гипертен-
зией кариозного процесса 1-й степени активности. Тогда как частота кариеса 2-й и 3-й степени активно-
сти была сопоставимой в обеих группах. При оценке гигиенического состояния полости
рта получены следующие результаты: хорошее со-
стояние полости рта выявлено в контрольной группе
у 35,4%, что в 2,8 раза превышало аналогичный по-
казатель в основной группе – 12,3% (р=0,002). Удо-
влетворительное состояние полости рта отмечено
в контрольной и основной группах в 43,1 и 44,6% слу-
чаев соответственно. Неудовлетворительная гигиена
полости рта в группе с артериальной гипертензией
была определена у 32,3 %, что достоверно отличалось
от контрольной группы – у 15,4% (р=0,024). Индекс
гигиены с критерием «плохо» зарегистрирован в ос-
новной группе у 10,8% подростков, в контрольной
группе – у 6,1%. Исходя из того, что зубной налет
является местным фактором, способствующим раз-
витию и кариеса зубов, и заболеваний пародонта, по-
лученные результаты обосновывают необходимость
профилактической работы, направленной на пред-
упреждение возникновения и прогрессирования
имеющихся стоматологических заболеваний в когор-
те подростков с артериальной гипертензией. Характеристика детей и методы исследования В кон-
тексте современного представления «стомато-сомати-
ческого здоровья» прослеживается междисциплинар-
ный подход взаимосвязанных состояний, что еще раз
подтверждает отрицательную коморбидность патоло-
гии стоматологического и терапевтического профиля
[20, 21]. Клиническое стоматологическое обследование
каждого подростка проводилось по общеприня-
той методике и включало: опрос, внешний осмотр,
осмотр полости рта с записью зубной формулы
и определением индекса интенсивности кариеса. Для оценки гигиенического состояния полости рта
использовался индекс гигиены по Федорову–Волод-
киной в модификации Пахомова, учитывающий пло-
щадь зубного налета на вестибулярной поверхности
зубов 16, 11, 21, 26, 36, 33, 32, 31, 41, 42, 43, 46. Окра-
шивание проводилось раствором Шиллера–Писа-
рева. Оценка гигиенического состояния полости рта
характеризовалась с помощью полученных результа-
тов: 1,1–1,5 – хорошо; 1,6–2,0 – удовлетворитель-
но; 2,1–2,5 – неудовлетворительно; 2,6–3,4 – плохо;
3,5–5,0 – очень плохо. Комплексный пародонталь-
ный индекс (Леус П.А., 1988) определяли при обсле-
довании зубов 16, 11, 26, 31, 36, 46. Полученные зна-
чения ранжировали следующим образом: 0 – норма;
0,1 – 1 – риск заболевания; 1,1 – 2,1 – легкая степень
поражения; 2,1 – 3,5 – средняя степень поражения;
3,6 – 5,0 – тяжелая степень поражения. Цель работы: охарактеризовать состояние стома-
тологического здоровья подростков с артериальной
гипертензией и разработать на основе полученных
результатов комплекс лечебно-профилактических
мероприятий, позволяющих повысить его уровень. РОССИЙСКИЙ ВЕСТНИК ПЕРИНАТОЛОГИИ И ПЕДИАТРИИ, 2018; 63:(6)
ROSSIYSKIY VESTNIK PERINATOLOGII I PEDIATRII, 2018; 63:(6) РОССИЙСКИЙ ВЕСТНИК ПЕРИНАТОЛОГИИ И ПЕДИАТРИИ, 2018; 63:(6)
ROSSIYSKIY VESTNIK PERINATOLOGII I PEDIATRII, 2018; 63:(6) ОБМЕН ОПЫТОМ Заключение 2. Плановая санация полости рта. Полученные данные свидетельствуют о том,
что подростков с артериальной гипертензией харак-
теризуют плохие показатели гигиены полости рта
и значительно большая частота основных стоматоло-
гических заболеваний: кариеса зубов и пародонтита. Это обосновывает выделение подростков с артери-
альной гипертензией в группу, уязвимую как по раз-
витию новых, так и по прогрессированию имеющих-
ся заболеваний зубочелюстной системы, что в свете
современных представлений может оказывать суще-
ственное ухудшающее влияние на кардиоваскуляр-
ное здоровье. Все это диктует необходимость разра-
ботки системы профилактических действий, которые
должны строиться на основании междисциплинар-
ного подхода с активным участием специалистов со-
матического и стоматологического профиля. 3. Профессиональная гигиена полости рта с обучени-
ем и коррекцией индивидуальной гигиены полости рта. 3. Профессиональная гигиена полости рта с обучени-
ем и коррекцией индивидуальной гигиены полости рта. 4. Подбор средств гигиены с учетом состояния эмали
зуба и тканей пародонта. 4. Подбор средств гигиены с учетом состояния эмали
зуба и тканей пародонта. В настоящее время имеется широкий ассортимент
средств по гигиеническому уходу за полостью рта. Рекомендуемые нами средства подобраны с учетом
процессов созревания и формирования тканей в под-
ростковом возрасте: • зубная паста R.O.C.S. PRO Young&White Enamel –
двухразовая чистка зубов. Использование данной па-
сты оказывает положительное влияние на незрелую
эмаль зуба, увеличивая минерализующую функцию
ротовой жидкости, а также способствует снижению
скорости образования зубного налета, благоприятно
воздействует на ткани пародонта; Результаты и обсуждение Осмотр стоматологом 3 раза в год. 1. Осмотр стоматологом 3 раза в год. Результаты и обсуждение Frequency of occurrence of periodontal morbidity in groups of examined adolescents, abs (%)
Комплексный пародонтальный индекс
Контрольная группа (n=65)
Основная группа (n=65)
р
Частота встречаемости в группе
В том числе:
риск заболевания
легкая степень
средняя степень
38
32
6
0
58,5*
49,2
9,2*
56
30
21
5
86,1*
46,1
32,3*
7,7
0,0004
0,725
0,001
0,058**
Примечание. *Статистически значимые различия между группами. **Двусторонний Фишера. лица 2. Частота встречаемости заболеваемости пародонта в группах обследованных подростков, абс (%)
le 2. Frequency of occurrence of periodontal morbidity in groups of examined adolescents, abs (%) 100
РОССИЙСКИЙ ВЕСТНИК ПЕРИНАТОЛОГИИ И ПЕДИАТРИИ, 2018; 63:(6)
ROSSIYSKIY VESTNIK PERINATOLOGII I PEDIATRII, 2018; 63:(6) РОССИЙСКИЙ ВЕСТНИК ПЕРИНАТОЛОГИИ И ПЕДИАТРИИ, 2018; 63:(6)
ROSSIYSKIY VESTNIK PERINATOLOGII I PEDIATRII, 2018; 63:(6) Колесникова Л.Р. и соавт. Стоматологическое здоровье подростков с артериальной гипертензией... • гель R.O.C.S. Medical Minerals – аппликации в те-
чение 15 мин утром и вечером после чистки зубов. Является источником легкоусвояемых соединений
кальция, фосфора и магния, обладает адгезивными
свойствами, позволяющими продлить время экс-
позиции активных компонентов. Введенный в его
состав ксилит повышает реминерализирующий по-
тенциал и подавляет активность кариесогенных ми-
кроорганизмов; • гель R.O.C.S. Medical Minerals – аппликации в те-
чение 15 мин утром и вечером после чистки зубов. Является источником легкоусвояемых соединений
кальция, фосфора и магния, обладает адгезивными
свойствами, позволяющими продлить время экс-
позиции активных компонентов. Введенный в его
состав ксилит повышает реминерализирующий по-
тенциал и подавляет активность кариесогенных ми-
кроорганизмов; В результате проведенного исследования в груп-
пах детей, идентичных по полу, возрасту, стадии по-
лового созревания, но различающихся по основному
соматическому заболеванию, установлено, что у под-
ростков с артериальной гипертензией частота встре-
чаемости основных стоматологических заболеваний
достоверно превышает таковую у подростков с нор-
мальным уровнем артериального давления. Получен-
ные результаты свидетельствуют о том, что подрост-
ки с артериальной гипертензией представляют собой
группу повышенного риска формирования как ка-
риеса зубов, так и заболеваний пародонта. Следова-
тельно, для этих пациентов необходима разработка
дополнительных профилактических мероприятий,
направленных на предупреждение появления и про-
грессирования имеющихся стоматологических забо-
леваний. • жевательные таблетки витаминно-минерального
комплекса R.O.C.S. Medical – по 1 таблетке 3 раза
в день во время еды для насыщения зубов минерала-
ми. Потребность в витаминах в детском и подростко-
вом возрасте значительно выше, чем у взрослых. Это
объясняется особенностями растущего организма –
напряжением обменных процессов, быстрым ростом
и развитием [23]. Предлагаемая нами схема включает ледующие
этапы: Все средства рекомендовано использовать в тече-
ние 30 дней 3 раза в год с перерывом 3 мес. 1. Uric acid and cardiometabolic risk factors for hypertension
in adolescents. Kardiologiya (Cardiology) 2014; 54(7): 36–42
(in Russ)]. Uric acid and cardiometabolic risk factors for hypertension
in adolescents. Kardiologiya (Cardiology) 2014; 54(7): 36–42
(in Russ)]. ЛИТЕРАТУРА (REFERENCES): Фундаментальные исследования 2014;
10(4): 675–678. [Kolesnikova L.R., Vlasov B.Ya., Natyagano-
va L.V., Dolgikh L.G. Association of essential arterial hyper-
tension and caries in children: a systemic response of phos-
phoric calcium metabolism. Fundamental’nye issledovaniya
2014; 10(4): 675–678. (in Russ)] и кариеса у детей: системный ответ фосфорно-кальцие-
вого метаболизма. Фундаментальные исследования 2014;
10(4): 675–678. [Kolesnikova L.R., Vlasov B.Ya., Natyagano-
va L.V., Dolgikh L.G. Association of essential arterial hyper-
tension and caries in children: a systemic response of phos-
phoric calcium metabolism. Fundamental’nye issledovaniya
2014; 10(4): 675–678. (in Russ)] 6. Колесникова Л.И., Дзятковская Е.Н., Долгих В.В., Поля-
ков В.М., Рычкова Л.В. Адаптивно-развивающая страте-
гия сохранения здоровья школьников. М: Литтерра 2015:
176. [Kolesnikova L.I., Dzyatkovskaya E.N., Dolgikh V.V.,
Polyakov V.M., Rychkova L.V. Adaptive-development strat-
egy for preserving the health of schoolchildren. Moscow: Lit-
terra 2015: 176 (in Russ)] 7. Самарина О.В. Ковтун О.П. Артериальная гипертензия
у детей – частота встречаемости, факторы риска и пора-
жение органов мишеней. Системная интеграция в здра-
воохранении 2012; 2: 38–44. [Samarina O.V., Kovtun О.P. Arterial hypertension in children – frequency of occurrence,
risk factors and defeat of target organs. Sistemnaya integratsi-
ya v zdravookhranenii 2012; 2: 38–44 (in Russ)] 14. Johnston L., Vieira A.R. Caries experience and over all
health status. Oral Health Prev Dent 2014; 12(2): 163–170. DOI:10.3290/j.ohpd.a31670 15. Zeigler C.C., Wondimu B., Marcus C., Modéer T. Pathological
periodontal pockets are associated with raised diastolic blood
pressure in obeseadolescents. BMC Oral Health 2015; 24; 15:
41. DOI: 10.1186/s1290301500266 8. Александров А.А., Зволинская Е.Ю., Пугоева Х.С., Ивано-
ва Е.И. Тридцатидвухлетняя динамика и прогностическая
значимость исходных уровней артериального давления
у мальчиков – подростков. Кардиоваскулярная терапия
и профилактика 2017; 16(5): 63–71. [Aleksandrov A.A., Zvo-
linskaya E.Yu., Pugoyeva Kh.S., Ivanova E.I. Thirty-two-year
dynamics and prognostic significance of baseline blood pres-
sure levels in adolescent boys. Kardiovaskulyarnaya terapiya i
profilaktika 2017; 16(5): 63–71. (in Russ)] 16. Ollikainen E., Saxlin T., Tervonen T., Suominen A.L., Knuut-
tila M., Jula A., Ylöstalo P. Association between periodon-
tal condition and hypertension in a nonsmoking population
aged 3049 years: results of the Health 2000 Survey in Fin-
land. J Clin Periodontol 2014; 41(12): 11328. DOI: 10.1111/
jcpe.12316 17. Ковалева О.Н. Кравченко Н.А., Амбросова Т.Н. Метабо-
лический синдром: проблемы диагностики и прогно-
стические критерии. Medicine Internal 2008; 1(7): 33–38. [Kovaleva O.N., Kravchenko N.A., Ambrosova T.N. Meta-
bolic syndrome: diagnostic problems and prognostic criteria. Medicine Internal 2008; 1(7): 33–38 (in Russ)] 9. ЛИТЕРАТУРА (REFERENCES): Долгих В.В., Рычкова Л.В., Погодина A.B., Кулеш Д.В.,
Бугун О.В., Мандзяк Т.В. и др. Программа дифференци-
рованного наблюдения за детьми и подростками с син-
дромом артериальной гипертензии. Acta Biomedica Sci-
entifica 2007; 2(54): 19–23. [Dolgikh V.V., Rychkova L.V.,
Pogodina A.B., Kulesh D.V., Bugun O.V., Mandziak T.V. et al. The program of differential monitoring of children and
adolescents with the syndrome of hypertension. Acta Bio-
medica Scientifica 2007; 2(54): 19–23 (in Russ)] 18. Fisher M.A., Borgnakke W.S., Taylor G.W. Periodon-
tal disease as a risk marker in coronary heart disease and
chronic kidney disease. Current Opinion in Nephrology
and Hypertension 2010; 19(6): 519–526. DOI: 10.1097/
MNH.0b013e32833eda38 19. Трухан Д.И., Трухан Л.Ю. Взаимоотношения болезней
пародонта и сердечно-сосудистых заболеваний. Ме-
ждународный журнал сердца и сосудистых заболеваний
2016; 4(11): 15–24. [Trukhan D.I., Trukhan L.Yu. The re-
lationship between periodontal diseases and cardiovascular
diseases. Mezhdunarodnyj zhurnal serdtsa i sosudistykh zabo-
levanij (International Journal of Heart and Vascular Diseases)
2016; 4(11): 15–24. (in Russ)] 10. Алешина Е.О., Куралесина Е.П., Русанова Т.А., Юденко-
ва С.Н. Значение диагностики риска возникновения
кариеса у детей в индивидуальной профилактике стом-
заболеваний. Вестник новых медицинских технологий
2011; XVIII(2): 174–176. [Aleshina E.O., Kuralesina E.P.,
Rusanova T.A., Yudenkova S.N. The significance of the di-
agnosis of the risk of caries in children in the individual pre-
vention of dentures. Vestnik novykh meditsinskikh tekhnologij
2011; XVIII(2): 174–176. (in Russ)] 20. Iacopino M. Surveillance spotlight: new «syndemic» paradigm
for interprofessional management of chronic inflammatory
disease. J Can Dent Assoc 2009; 75(9): 632–633. 11. Скатова Е.А., Макеева М.К., Шакарьянц А.А. Практи-
ческие аспекты определения риска развития кариеса. ДенталЮг 2010; 6: 24–26. [Skatova E.A., Makeeva M.K.,
Shakaryants A.A. Practical aspects of determining the risk
of caries development. DentalYUg 2010; 6: 24–26. (in Russ)] 21. Цепов Л.М., Цепова Е.Л., Цепов А.Л. Пародонтит: локаль-
ный очаг серьезных проблем (обзор литературы). Паро-
донтология 2014; 3(72): 3–6. [Tsepov L.M., Tsepova E.L.,
Tsepov A.L. Periodontitis: a local hotbed of serious problems
(literature review). Parodontologiya (Periodontology) 2014;
3(72): 3–6. (in Russ)] 12. Джураева Ш.Ф., Турдыев Б.З., Шарипов Х.С. Клинико-
эпидемиологическая характеристика развития основных
стоматологических заболеваний среди детского и под-
росткового населения Таджикистана. Мат. II Междунар. науч. конф. «Новые задачи современной медицины». Санкт-Петербург, май 2013 г. СПб: Реноме 2013:41–43. [Djuraeva Sh.F., Turdyev B.Z, Sharipov H.S. Clinical and
epidemiological characteristics of the development of major
dental diseases among children and adolescents in Tajikistan. Materials II International. Sci. Conf. «New problems of mod-
ern medicine». ЛИТЕРАТУРА (REFERENCES): Uric acid and cardiometabolic risk factors for hypertension
in adolescents. Kardiologiya (Cardiology) 2014; 54(7): 36–42
(in Russ)]. 1. Долгих В.В., Леонтьева И.В., Рычкова Л.В., Погодина А.В.,
Мандзяк Т.В., Бугун О.В. и др. Алгоритмы диагностики
и лечения, принципы профилактики артериальной ги-
пертензии у подростков. Иркутск: ООО «Аспринт» 2008:
26. [Dolgikh V.V., Leont’eva I.V., Rychkova L.V., Pogo-
dina A.V., Mandziak T.V., Bugun O.V. and etc. Algorithms
of diagnostics and treatment, principles of prevention of ar-
terial hypertension in adolescents. Irkutsk: ООО «Asprint»
2008: 26 (in Russ)]. 4. 4. Холматов Д.Н., Арзикулов А.Ш., Муллажонов Х.Э., Абду-
лаев Д.Б. Распространенность вегетативной дисфункции
и артериальной гипертензии у детей. Молодой ученый
2017; 49: 136–138. [Kholmatov D.N., Arzikulov A.Sh., Mul-
lajonov Kh.E., Abdulaev D.B. The prevalence of autonomic
dysfunction and hypertension in children. Molodoj uchenyj
2017; 49: 136–138. (in Russ)] 26. [Dolgikh V.V., Leont’eva I.V., Rychkova L.V., Pogo-
dina A.V., Mandziak T.V., Bugun O.V. and etc. Algorithms
of diagnostics and treatment, principles of prevention of ar-
terial hypertension in adolescents. Irkutsk: ООО «Asprint»
2008: 26 (in Russ)]. 2. Леонтьева И.В. Поражение органов-мишеней у детей
и подростков с артериальной гипертензией. Рос вестн
перинатол и педиатр 2010; 55(1): 30–41. [Leontieva I.V. The defeat of target organs in children and adolescents with
arterial hypertension. Ros Vestn Perinatol i Pediatr (Russian
Bulletin of Perinatology and Pediatrics) 2010; 55(1): 30–
41(in Russ)]. 2. Леонтьева И.В. Поражение органов-мишеней у детей
и подростков с артериальной гипертензией. Рос вестн
перинатол и педиатр 2010; 55(1): 30–41. [Leontieva I.V. The defeat of target organs in children and adolescents with
arterial hypertension. Ros Vestn Perinatol i Pediatr (Russian
Bulletin of Perinatology and Pediatrics) 2010; 55(1): 30–
41(in Russ)]. 5. Оганов Р.Г., Тимофеева Т.Н., Колтунов И.Е., Кон-
стантинов В.В., Баланова Ю.А., Капустина А.В. и др. Эпидемиология артериальной гипертонии в России
Результаты федерального мониторинга 2003–2010 гг. Кардиоваскулярная терапия и профилактика 2011; 10(1):
9–13. [Oganov R.G., Timofeeva T.N., Koltunov I.E., Kon-
stantinov V.V., Balanova Yu.A., Kapustina A.V. et al. Epide-
miology of arterial hypertension in Russia. The results of the
federal monitoring of 2003-2010. Kardiovaskulyarnaya tera-
piya i profilaktika 2011; 10(1): 9–13. (in Russ)] 3. Погодина А.В., Долгих В.В., Рычкова Л.В. Мочевая кис-
лота и факторы кардиометаболического риска при арте-
риальной гипертензии у подростков. Кардиология 2014;
54(7): 36–42. [Pogodina A.V., Dolgikh V.V., Rychkova L.V. РОССИЙСКИЙ ВЕСТНИК ПЕРИНАТОЛОГИИ И ПЕДИАТРИИ, 2018; 63:(6)
ROSSIYSKIY VESTNIK PERINATOLOGII I PEDIATRII, 2018; 63:(6) ОБМЕН ОПЫТОМ и кариеса у детей: системный ответ фосфорно-кальцие-
вого метаболизма. ЛИТЕРАТУРА (REFERENCES): St.Petersburg, May 2013. SPb: Renome 2013:
41–43 (in Russ)] 22. Lurbe E., Agabiti Rosei E., Cruickshank J. K., Dominiczak A.,
Erdine S., Hirth A., Rascher W. European Society of Hyper-
tension guidelines for the management of high blood pressure
in children and adolescents. J Hypertension 2016; 34(10):
1887–1920. DOI:10.1097/HJH.0000000000001039 23. Зыкеева С.К., Ургенишбаева Ж.Р. Профилактика и ле-
чение заболеваний пародонта у детей и подростков. Вестник КазНМУ 2016; 3: 97–100. [Zykeeva S.K., Urgen-
ishbaeva Zh.R. Prevention and treatment of periodontal dis-
eases in children and adolescents. Vestnik KazNMU 2016; 3:
97–100. (in Russ)] 13. Колесникова Л.Р., Власов Б.Я., Натяганова Л.В., Долгих Л.Г. Ассоциация эссенциальной артериальной гипертензии 13. Колесникова Л.Р., Власов Б.Я., Натяганова Л.В., Долгих Л.Г. Ассоциация эссенциальной артериальной гипертензии 13. Колесникова Л.Р., Власов Б.Я., Натяганова Л.В., Долгих Л.Г. Ассоциация эссенциальной артериальной гипертензии Received on 2018.10.03 Конфликт интересов: Conflict of interest:
The authors of this article confirmed the lack of conflict
of interest and financial support, which should be reported. Авторы данной статьи подтвердили отсутствие кон-
фликта интересов и финансовой поддержки, о которых
необходимо сообщить. РОССИЙСКИЙ ВЕСТНИК ПЕРИНАТОЛОГИИ И ПЕДИАТРИИ, 2018; 63:(6)
ROSSIYSKIY VESTNIK PERINATOLOGII I PEDIATRII, 2018; 63:(6)
|
https://openalex.org/W2081013412
|
https://hal.archives-ouvertes.fr/hal-00957607/file/Ratier2011.pdf
|
English
| null |
Analog Computing of Control Laws by Periodic Network of Resistances
| null | 2,010
|
cc-by
| 5,844
|
Analog computing of control laws by periodic network of
resistances
Nicolas Ratier Nicolas Ratier To cite this version: Nicolas Ratier. Analog computing of control laws by periodic network of resistances. Hardware and
Software Implementation and Control of Distributed MEMS (DMEMS), Jan 2010, Besançon, France. pp.64-71, 10.1109/dMEMS.2010.17. hal-00957607 Distributed under a Creative Commons Attribution 4.0 International License HAL Id: hal-00957607
https://hal.science/hal-00957607v1
Submitted on 11 Apr 2021 L’archive ouverte pluridisciplinaire HAL, est
destinée au dépôt et à la diffusion de documents
scientifiques de niveau recherche, publiés ou non,
émanant des établissements d’enseignement et de
recherche français ou étrangers, des laboratoires
publics ou privés. HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished or not. The documents may come from
teaching and research institutions in France or
abroad, or from public or private research centers. Distributed under a Creative Commons Attribution 4.0 International License I. INTRODUCTION Actuation, sensoring and control of very large sized arrays
of MEMS, says 1000×1000 MEMS or cells on the same chip,
are out of reach of digital computing (microprocessor). The
revival of analog computing might be the recourse for filling
the gap of our computing power. Control laws are formulated
in terms of ordinary or partial differential equations. The
electronic analog computers used in the seventies were limited
to solve ordinary differential equations. They were composed
of operational amplifiers and capacitances. Unfortunatly, the
use of numerous capacitances renders them unsuitable for high
density integration. Today, advent of nanotechnology could
make conceivable molecular or quantum computing [1]. Analog Computing of Control Laws by
Periodic Network of Resistances Nicolas Ratier
FEMTO–ST Institut
Time–Frequency department
32 avenue de l’Observatoire, 25044 Besanc¸on Cedex, France
nicolas.ratier@femto-st.fr We now present how to construct an electronic circuit of a
linear PDE up to the fourth order. The discrete solution at each
voltage node of the center of each cell composing this circuit
converges towards the solution of the PDE, with its boundary
conditions, for a given input signal (the right hand side of the
PDE) when the number of periodic cells increases. The choice
of the finite difference scheme used to represent the PDE is
a mathematical problem and is not relevant here. It is clear
that if this finite difference scheme is stable and accurate, its
electronic implementation will have a good behaviour too. Abstract—We show in this paper that a class of Periodic
Networks of Resistances (called PNR) can be used to solve partial
differential equations. More precisely, each cell of this periodic
network computes locally a finite difference approximation of
the partial differential equation. The PNR circuits are composed
of current source, voltage–controlled voltage source and positive
and negative resistances. An example of application of PNR could
be the real time control of distributed MEMS. Keywords-analog computing; partial differential equations;
PDE; finite difference; periodic networks of resistances; PNR; The 14+1 partial differential operators up to order 4 are
summarized in table I. It is sufficient to study 9 of them (at
the left side of the table), all the other ones can be deduced
by symmetry. TABLE I
PARTIAL DIFFERENTIAL OPERATORS UP TO ORDER 4. ∂0
∂x0∂y0
∂
∂x
∂
∂y
∂2
∂x
∂2
∂x∂y
∂2
∂y
∂3
∂x3
∂3
∂x2∂y
∂3
∂x∂y2
∂3
∂y3
∂4
∂x4
∂4
∂x3∂y
∂4
∂x2∂y2
∂4
∂x∂y3
∂4
∂y4 ∂0
∂x0∂y0
∂
∂x
∂
∂y
∂2
∂x
∂2
∂x∂y
∂2
∂y
∂3
∂x3
∂3
∂x2∂y
∂3
∂x∂y2
∂3
∂y3
∂4
∂x4
∂4
∂x3∂y
∂4
∂x2∂y2
∂4
∂x∂y3
∂4
∂y4 We propose in this paper a much simpler solution to bring
back to life analog computing. Our method is based on
the design of electronic circuits which “computes” locally
the finite difference approximation of a partial differential
equation. These unit cell circuits must have the properties
of being possibly assembled then periodically recopied. The
whole periodic network is then composed of the numerous
repeated identical cells, except at the boundaries where the
cell takes into account the boundary conditions. So we can
say that this Periodic Network or Resistances (PNR) “solves”
or “is described” by a PDE. The following sections propose a study of eight unit circuits
which “code” a finite difference (FD) approximation of these
8 partial differential operators. The section names “Molecule
αβ” refers to the centered FD approximation of the derivative
∂α+β
∂xα∂yβ with an error proportional to the step size of order
2. The calculation of the harmonic derivative (Molecule 20)
is well known, all the other proposed circuits are originals. The study of each molecule is presented through an increasing
difficulty and by gathering the similar solutions. The unit cell involves only a current source, VCVSs
(Voltage–Controlled Voltage Sources) and positive and neg-
ative resistances. The pratical realization of a PNR is not an
issue of this paper, but we can just say that the designs of
negative resistances can be based on variety of techniques,
for example negative input impedance [2][3][4], negative
impedance converters and inverters [5] or translinear circuits
[6]. The last reference is itself electronically tunable. Next, we present how to mix these elementary cells to
construct the circuit of a linear partial differential equation, and
finally we show how to implement the boundary conditions in
a circuit form. We introduce now some notations that we will use through-
out the paper. In order to use the finite difference schemes,
we divide the domain Ω= (0, 1)2 into (N −1)2 interior
points with spatial step size h = 1/N in both x– and y–
directions. TABLE I
PARTIAL DIFFERENTIAL OPERATORS UP TO ORDER 4. ∂2v
∂x2
=
ρ0i0
(3) ∂2v
∂x2
=
ρ0i0
(3) (3) The values of the resistances inside a cell depend only on the
circuit topology and are easily expressed as a function of ρ1,
here r1 = r2 = ρ1/2. The values of the resistances inside a cell depend only on the
circuit topology and are easily expressed as a function of ρ1,
here r1 = r2 = ρ1/2. III. COMPUTATION OF ∂x4 (MOLECULE 40) The computational molecule of the fourth derivative is given
by (4). The molecule is symmetrical and expands over two
steps at each side. ∂4v
∂x4
≈
1
h4
?>=<
89:;
1
?>=<
89:;
−4
?>=<
89:;
6
?>=<
89:;
−4
?>=<
89:;
1
(4)
1
2
2
1
Vi+2
Vi+1
r1
i0
r4
Vi
r2
r5
r3
r6
Vi−2
Vi−1
Fig. 3. Network of molecule 40. ∂4v
∂x4
≈
1
h4
?>=<
89:;
1
?>=<
89:;
−4
?>=<
89:;
6
?>=<
89:;
−4
?>=<
89:;
1
(4) (4) Fig. 1. Two–dimensional grid used in the finite difference approximation. TABLE I
PARTIAL DIFFERENTIAL OPERATORS UP TO ORDER 4. The grid points (x, y) are given by xi = ih, i =
−1, 0, 1, 2, . . . , N +1 and yj = jh, j = −1, 0, 1, 2, . . . , N +1. The uppercase letter Vi,j is used to denote the finite difference
approximation of the function v (ih, jh). The two–dimensional
grid used in the finite difference approximation is represented
on Fig. 1 in the case N = 4. The points of the domain are
labeled by a filled circle, those on the boundary are labeled
by a filled square, and finally the point labeled by a cross are
used to compute Neumann boundary conditions. along the paths located by the index 1 in the scheme and link-
ing two adjacent potentials (i.e. ρ1 is the resistance between
Vi and Vi−1 or Vi and Vi+1). By applying the Kirchhoff’s
Current Law (KCL) at node Vi, rearranging some terms, the
equation of the cell i can be written under the form (2). 1
ρ1
(Vi−1 −2Vi + Vi+1)
=
−i0
(2) (2) If we choose resistances which scaled down in h2 with the cell
size, i.e. ρ1 = −h2ρ0, the potential of a cell i estimates the
(second) derivative of the function v(x) at a single point. The
whole electronic circuit composed of N cells computes a finite
difference approximation of the differential equation (3). The
particular choice to take ρ1 = −h2ρ0 instead of ρ1 = h2ρ0 is
very important, it allows to superpose the electrical network
of this molecule to other one (all the circuit equations must
have the same left hand side to be superposed). If we choose resistances which scaled down in h2 with the cell
size, i.e. ρ1 = −h2ρ0, the potential of a cell i estimates the
(second) derivative of the function v(x) at a single point. The
whole electronic circuit composed of N cells computes a finite
difference approximation of the differential equation (3). The
particular choice to take ρ1 = −h2ρ0 instead of ρ1 = h2ρ0 is
very important, it allows to superpose the electrical network
of this molecule to other one (all the circuit equations must
have the same left hand side to be superposed). D
Di
Ne
h
x
y
h
(N, 0)
(N, N)
(0, N)
(0, 0)
∈∂Ω
∈Ω
Fig. 1. Two–dimensional grid used in the finite difference approximation. IV. COMPUTATION OF ∂x (MOLECULE 10) (11) Vi
1
r0
+ 2
ρ1
+ 1
ρ2
−Vi−1
1
ρ1
+ Vi+1
1
ρ2
−1
ρ1
i If we choose ρ1 = 2h3ρ0, ρ2 = 2h3ρ0/2, ρ3 = 2h3ρ0/2,
ρ4 = 2h3ρ0/4 and r0 = −2h3ρ0/12, then the potential at
node Vi estimates the third derivative of the function v(x) at
a given point (Eq. (12)). If we choose ρ1 = 2h3ρ0, ρ2 = 2h3ρ0/2, ρ3 = 2h3ρ0/2,
ρ4 = 2h3ρ0/4 and r0 = −2h3ρ0/12, then the potential at
node Vi estimates the third derivative of the function v(x) at
a given point (Eq. (12)). (8) ∂3v
∂x3
=
ρ0i0
(12) (12) If we choose ρ1 = 2hρ0, ρ2 = 2hρ0/2, and r0 = −2hρ0/4,
then the potential at node Vi estimates the first derivative of
the function v(x) at a given point (Eq. (9)). The resistances of the cells can be taken as r{1,3,7,9} = ρ1/4,
r{4,6,10,12} = ρ2/4, r{2,8} = ρ3/2 and r{5,11} = ρ4/2. The resistances of the cells can be taken as r{1,3,7,9} = ρ1/4,
r{4,6,10,12} = ρ2/4, r{2,8} = ρ3/2 and r{5,11} = ρ4/2. ∂v
∂x
=
ρ0i0
(9) (9) VI. COMPUTATION OF ∂xy (MOLECULE 11) The resistances of the cells can be taken as r1 = r3 = ρ1/2
and r2 = r4 = ρ2/2. The resistances of the cells can be taken as r1 = r3 = ρ1/2
and r2 = r4 = ρ2/2. The molecule of the 11 derivative is represented by (13). This molecule is the tensor product of two asymmetrical
molecules (the molecules 10 and 01) and is therefore sym-
metrical. IV. COMPUTATION OF ∂x (MOLECULE 10) IV. COMPUTATION OF ∂x (MOLECULE 10) inverted between these outer and inner values, this is translated
into a direction change in the network (compare paths 2 and
4). The molecule of the first derivative is represented by (7). This molecule is not symmetrical and thus cannot be repre-
sented by a symmetrical network. 1
1
2
3
3
4
Vi−2
−Vi−2
Vi−1
−Vi−1
r3
r2
r8
r9
r6
r5
r11
r12
i0
Vi
e0
r1
r4
r7
r10
−Vi
Vi+1
−Vi+1
Vi+2
−Vi+2
r0
Fig. 5. Network of molecule 30. ∂v
∂x
≈
1
2h
n
?>=<
89:;
−1
?>=<
89:;
0
?>=<
89:;
1
o
(7) (7) To implement the molecule, we must construct an asymmet-
rical circuit. The proposed one uses the potential −Vi,j. It is
obtained by a linear VCVS e0 of value −1. (VCVS stands for
Voltage–Controlled Voltage Source). The circuit is drawn on
Fig. 4. Fig. 5. Network of molecule 30. 1
1
2
r1
i0
r0
r4
e0
Vi
−Vi
Vi+1
Vi−1
−Vi−1
−Vi+1
r2
r3
Fig. 4. Network of molecule 10. 1
1
2
r1
i0
r0
r4
e0
Vi
−Vi
Vi+1
Vi−1
−Vi−1
−Vi+1
r2
r3
Fig. 4. Network of molecule 10. The resistances ρ1 connect the potentials Vi and Vi±2 and
the resistance ρ2 connects the potentials Vi and −Vi+2. In
a similar way, the resistances ρ3 connect the potentials Vi
and Vi±1 and the resistance ρ4 connects the potentials Vi and
−Vi−1. Applying KCL at node Vi and after some algebraic
manipulations, one can obtain (11). Fig. 4. Network of molecule 10. Vi
1
r0
+ 2
ρ1
+ 1
ρ2
+ 2
ρ3
+ 1
ρ4
−Vi−2
1
ρ1
+ Vi+2
1
ρ2
−1
ρ1
(11)
+Vi−1
1
ρ4
−1
ρ3
−Vi+1
1
ρ3
=
i0 The resistances ρ1 connect the potentials Vi and Vi±1 and
the resistance ρ2 connects the potentials Vi and −Vi+1. Apply-
ing KCL at node Vi and after some algebraic manipulations,
one can obtain (8). II. COMPUTATION OF ∂x2 (MOLECULE 20) The easiest computational molecule to implement under the
form of an electronic circuit is the one associated with the
second derivative. The molecule is symmetrical. Fig. 3. Network of molecule 40. The elementary cell which “calculates” (4) is represented on
Fig. 3 with its four adjacent cells. The resistances ρ1 connect
the potentials Vi and Vi±2 and the resistances ρ2 connect the
potentials Vi and Vi±1. Applying KCL at node Vi and doing
some algebraic manipulations leads to (5). ∂2v
∂x2
≈
1
h2
n
?>=<
89:;
1
?>=<
89:;
−2
?>=<
89:;
1
o
(1) (1) We recall that a computational molecule is a graphical depic-
tion of an approximate partial derivative formula. The previous
one stands for: 2Vi
1
ρ1
+ 1
ρ2
−1
ρ1
Vi−2 −1
ρ2
Vi−1 −1
ρ2
Vi+1 −1
ρ1
Vi+2
=
i0
(5) ∂2v
∂x2
≈
1
h2 (vi−1,j −2vi,j + vi+1,j) 1
1
r1
i0
r2
Vi
Vi+1
Vi−1
Fig. 2. Network of molecule 20. (5) If we choose ρ1 = −h4ρ0 and ρ2 = h4ρ0/4, then the potential
at node Vi estimate the fourth derivative of the function v(x)
at a given point (Eq. (6)). ∂4v
∂x4
=
ρ0i0
(6) Fig. 2. Network of molecule 20. (6) The elementary cell which “calculates” (1) is represented on
Fig. 2 with its too adjacent cells. We call ρ1 the resistances The resistances of the cells can be taken as r1 = r3 = r4 =
r6 = ρ1/4 and r2 = r5 = ρ2/2. The resistances of the cells can be taken as r1 = r3 = r4 =
r6 = ρ1/4 and r2 = r5 = ρ2/2. V. COMPUTATION OF ∂x3 (MOLECULE 30) The molecule of the third derivative is represented by
(10). Like every odd order derivative, the third molecule
is not symmetrical and thus, it cannot be represented by a
symmetrical network. Moreover, it expands over two steps at
each side. ∂2v
∂x∂y
≈
1
4h2
?>=<
89:;
−1
?>=<
89:;
0
?>=<
89:;
1
?>=<
89:;
0
?>=<
89:;
0
?>=<
89:;
0
?>=<
89:;
1
?>=<
89:;
0
?>=<
89:;
−1
(13) (13) ∂3v
∂x3
≈
1
2h3
?>=<
89:;
−1
?>=<
89:;
2
?>=<
89:;
0
?>=<
89:;
−2
?>=<
89:;
1
(10) (10) The proposed circuit is given on Fig 6. Following the same
convention and notation as before, ρ1 corresponds to the
resistance values between the potentials Vi,j and Vi±1,j±1,
and ρ2 are the resistance values between the potentials Vi,j
and Vi∓1,j±1. The electronic network which evaluates the
molecule 11 is drawn on the center cell of Fig. 6, its eight The proposed circuit is given on Fig 6. Following the same
convention and notation as before, ρ1 corresponds to the
resistance values between the potentials Vi,j and Vi±1,j±1,
and ρ2 are the resistance values between the potentials Vi,j
and Vi∓1,j±1. The electronic network which evaluates the
molecule 11 is drawn on the center cell of Fig. 6, its eight The proposed circuit is represented on Fig. 5. The circuit is a
combination of the method used in molecule 40 to obtain the
value of the potential, and those used in molecule 10 to get an
asymmetrical value in the molecule. The paths 1 and 2 code
the outer values of the molecule {−1, 1}, while the paths 3 and
4 code its inner values {2, −2}. Note that the minus sign is 1
ρ1/2
ρ1/2
ρ1/2
ρ1/2
ρ1/2
ρ1/2
ρ1/2
Vi+1,j+1
Vi,j
ρ1/2
Fig. 7. Path linking Vi,j and Vi+1,j+1. adjacent cells are also represented. To facilitate the under-
standing and the analysis of the network, only the center cell is
completely drawn. On all the other cells, only the resistances
along the paths which link there cell center (Vi−1,j+1, Vi,j+1,
etc) to Vi,j have been represented. Fig. 7. Path linking Vi,j and Vi+1,j+1. VII. COMPUTATION OF ∂x2y2 (MOLECULE 22) The molecule 22 derivative is represented by (16). This
molecule is the tensor product of two symmetrical molecules
(the molecules 20 and 02) and is therefore symmetrical. ∂4v
∂x2∂y2
≈
1
h4
?>=<
89:;
1
?>=<
89:;
−2
?>=<
89:;
1
?>=<
89:;
−2
?>=<
89:;
4
?>=<
89:;
−2
?>=<
89:;
1
?>=<
89:;
−2
?>=<
89:;
1
(16) (16) The proposed circuit is given on Fig 8. As shown in the
network, ρ1 correspond to the resistance values between the
potentials Vi,j and Vi±1,j and between Vi,j and Vi,j±1, and
ρ2 are the resistance values between the potentials Vi,j and
Vi±1,j±1 and between Vi,j and Vi∓1,j±1. The electronic net-
work which evaluates the molecule 22 is drawn on the center
cell of Fig. 8, its eight adjacent cells are also represented. To
facilitate the understanding and the analysis of the network,
only the center cell is completely drawn. Fig. 6. Network of molecule 11. Applying KCL at node Vi and after some algebraic manip-
ulations, one can obtain (14). Vi,j
2
ρ1
+ 2
ρ2
−1
ρ1
Vi+1,j+1 −1
ρ2
Vi−1,j+1
−1
ρ1
Vi−1,j−1 −1
ρ2
Vi+1,j−1
=
i 2
2
1
1
2
1
2
1
i0
Vi,j
Vi−1,j+1
Vi,j+1
Vi+1,j+1
Vi−1,j
Vi+1,j
Vi−1,j−1
Vi−1,j
Vi+1,j−1
Fig. 8. Network of molecule 22. (14) =
i0
(14) If we choose ρ1 = −4h2ρ0 and ρ2 = 4h2ρ0, the potential
at node Vi estimates the 1–1 partial derivative of the function
v(x) at a given point (Eq. (15)). If we choose ρ1 = −4h2ρ0 and ρ2 = 4h2ρ0, the potential
at node Vi estimates the 1–1 partial derivative of the function
v(x) at a given point (Eq. (15)). ∂2v
∂x∂y
=
ρ0i0
(15) (15) The actual resistances are represented by thick vertical and
horizontal segments. The resistances represented by long
segments can be taken as r{long} = ρ1/2, while the ones
represented by short segments can be taken as r{short} = ρ2/2. For example, along the path from Vi,j to Vi+1,j+1, there
are 4 resistances (of the same value) in series which are
in parallel with 4 others, so the equivalent resistance is
(4 × ρ1/2) //(4 × ρ1/2) = ρ1. V. COMPUTATION OF ∂x3 (MOLECULE 30) 2
2
1
1
Vi−1,j−1
Vi−1,j+1
Vi,j+1
Vi+1,j+1
Vi−1,j
Vi,j
Vi+1,j
Vi−1,j
Vi+1,j−1
i0
Fig. 6. Network of molecule 11. in practical circuits. It is not difficult to derive an equivalent
network, from the proposed one, with a much lower number
of resistances. VII. COMPUTATION OF ∂x2y2 (MOLECULE 22) The network has been designed in such a way that one gets
a maximum number of resistances having the same value, up
to the sign. It seems that such resistances are easier to integrate Fig. 8. Network of molecule 22. nip-
17)
tial
ion
18)
and
3
4
1
5
6
3
2
1
5
Vi−1,j+1
Vi,j+1
Vi+1,j+1
Vi+1,j−1
Vi−1,j
Vi−1,j−1
Vi+1,j
Vi−1,j
Vi,j
−Vi,j
i0
e0
r0
−Vi−1,j+1
−Vi,j+1
−Vi+1,j+1
−Vi−1,j−1
−Vi−1,j
−Vi−1,j
−Vi+1,j
−Vi+1,j−1
Fig. 9. Network of molecule 21. Applying KCL at node Vi and after some algebraic manip-
ulations, one can obtain (17). Vi,j
4
ρ1
+ 4
ρ2
−1
ρ1
Vi+1,j −1
ρ1
Vi,j+1 −1
ρ1
Vi−1,j −1
ρ1
Vi,j−1
−1
ρ2
Vi+1,j+1 −1
ρ2
Vi−1,j+1
−1
ρ2
Vi−1,j−1 −1
ρ2
Vi+1,j−1
=
i
(17) (17) If we choose ρ1 = h4ρ0/2 and ρ2 = −h4ρ0, the potential
at node Vi estimates the 2–2 partial derivative of the function
v(x) at a given point (Eq. (18)). ∂4v
∂x2∂y2
=
ρ0i0
(18) (18) Fig. 9. Network of molecule 21. Fig. 9. Network of molecule 21. The actual resistances are represented by thick vertical and
horizontal segments. The eight resistances represented by very
long segments can be taken as r{very long} = ρ1/2, while
all the other ones (i.e. resistances represented by long and
short segments) can be taken as r{long,short} = ρ2/2. The
explanation of this choice is identical to that of the molecule
11. ulations, one can obtain (20). ulations, one can obtain (20). Vi,j
1
r0
+ 2
ρ1
+ 1
ρ2
+ 2
ρ3
+ 1
ρ4
+ 2
ρ5
+ 1
ρ6
+Vi,j−1
1
ρ2
−1
ρ1
−Vi,j+1
1
ρ1
+Vi−1,j+1
1
ρ4
−1
ρ3
−Vi+1,j−1
1
ρ3
+Vi+1,j+1
1
ρ6
−1
ρ5
−Vi−1,j−1
1
ρ5
=
i0
( VIII. COMPUTATION OF ∂x2y (MOLECULE 21) The molecule 21 derivative is represented by (19). This
molecule is the tensor product of one symmetrical molecule
and one asymmetrical molecule (the molecules 20 and 01) and
is therefore asymmetrical. (20) ∂3v
∂x2∂y
≈
1
2h3
?>=<
89:;
1
?>=<
89:;
−2
?>=<
89:;
1
?>=<
89:;
0
?>=<
89:;
0
?>=<
89:;
0
?>=<
89:;
−1
?>=<
89:;
2
?>=<
89:;
−1
(19) If we choose r0 = −2h3/12 and the sets of ρα so that, If we choose r0 = −2h3/12 and the sets of ρα so that, If we choose r0 = −2h3/12 and the sets of ρα so that, ρ1 = 2h3ρ0/2
ρ2 = 2h3ρ0/4
ρ3 = 2h3ρ0
ρ4 = 2h3ρ0/2
ρ5 = 2h3ρ0
ρ6 = 2h3ρ0/2 (19) the potential at node Vi estimates the 2–1 partial derivative
of the function v(x) at a given point (Eq. (21)). the potential at node Vi estimates the 2–1 partial derivative
of the function v(x) at a given point (Eq. (21)). ∂3v
∂x2∂y
=
ρ0i0
(21) To define its electronic circuit, the molecule is splitted into
3 smaller molecules crossing the point (i, j), the vertical
one (−2, 0, 2), and the molecules along the two diagonals
(−1, 0, 1). Each submolecule can then be implemented by the
same method as the one used for the molecule 10. (21) The actual resistances are represented by segments between
two dots. The 6 resistances along the paths 1 and 2 can be
taken as r⟨1⟩,⟨2⟩= ρ1/2, while the resistances along the paths
3, 4, 5 and 6 can be taken as r⟨1⟩,⟨2⟩,⟨3⟩,⟨4⟩,⟨5⟩,⟨6⟩= ρ2/3. The value of the actual resistances along the paths define, by
periodicity, the resistances in the elementary cell. A careful drawing of the location of resistances to obtain a
periodicity of the cells leads to the network of Fig. 9. Only
the center cell is completely drawn to facilitate the reading of
the network. The resistance between one of the 9 paths linking
the potentials of adjacent cell to Vi,j are called ρα. The bold
index α on the scheme indicates their corresponding path. X. COMPUTATION OF A PDE A linear PDE up to the order four can be written under
the general form (25). The coefficient ρij in front of each
derivative is the factor ρ0 defined in the study of the circuit
of the corresponding molecule. The coefficient aij is simply
a multiplicative term. For the PDEs coming from physics
(Poisson’s equation, deflection of plates, etc... ) the ratio
aij/ρij is usually an integer. 1
2
1
2
Vi−2,j+1
Vi−1,j+1
Vi,j+1
Vi+1,j+1
Vi+2,j+1
Vi−1,j−1
Vi−2,j−1
Vi,j−1
Vi+1,j−1
Vi+2,j−1
Vi+2,j
Vi+1,j
Vi−1,j
Vi−2,j
Vi,j
i0
Fig. 10. Network of outer submolecule of molecule 31. a00
ρ00
V + a10
ρ10
∂V
∂x + a01
ρ01
∂V
∂y + · · · + a04
ρ04
∂4V
∂y4
=
i0 (x, y)
(25) (25) The elementary cell of a linear PDE is obtained by superposing
the corresponding cell of each of its terms. This superposition
is carried out in the following way: • The nodes on the boundaries of each collected cell must
remain disjoint. • The nodes on the boundaries of each collected cell must
remain disjoint. • The voltage nodes Vi,j, as the current sources i0, of all
the collected cell must be merged. • The resistances of each assembled cell must be scaled
with the corresponding factor aij. Fig. 10. Network of outer submolecule of molecule 31. In the case of nonlinear PDE, the parts under the form of a
product of derivative, could be implemented by multiplying
the voltage nodes Vi,j of each term and then by connecting
the result to the current source i0. The circuit of the molecule 31 is the “schematic sum” of
the network of Fig. 10 and the network of molecule 11 (with
resistances renamed ρ′
1 and ρ′
2). A “schematic sum” means
that the two circuits must be superposed with separated dots
in the cell border, and that these two circuits have the same
current source i0. Applying KCL at node Vi and after some
algebraic manipulations, one can obtain (23). IX. COMPUTATION OF ∂x3y (MOLECULE 31) The molecule 21 derivative is represented by (22). This
molecule is the tensor product of two asymmetrical molecules Applying KCL at node Vi and after some algebraic manip- (the molecules 30 and 01) and is therefore symmetrical. (the molecules 30 and 01) and is therefore symmetrical. given point (Eq. (24)). given point (Eq. (24)). ∂4v
∂x3∂y
=
ρ0i0
(24) ∂4v
∂x3∂y
≈
1
4h4
?>=<
89:;
−1
?>=<
89:;
2
?>=<
89:;
0
?>=<
89:;
−2
?>=<
89:;
1
?>=<
89:;
0
?>=<
89:;
0
?>=<
89:;
0
?>=<
89:;
0
?>=<
89:;
0
?>=<
89:;
1
?>=<
89:;
−2
?>=<
89:;
0
?>=<
89:;
2
?>=<
89:;
−1
( (24) (22) The actual resistances of Fig. 10 are represented by segments
between two dots. The 4 resistances along the paths 1 and 2
can be taken as r⟨1⟩,⟨2⟩= ρ1/4. The value of the actual resis-
tances along the paths define, by periodicity, the resistances
in the elementary cell. The molecule is separated into two submolecules arround the
center point (i, j). The first submolecule is the inner one
(−2, 2, −2, 2), it can be defined under a circuit form from
the circuit of the molecule 11 by inverting and scaling the
resistance ρα. The circuit of the second molecule, the outer one
(1, −1, 1, −1) is drawn on Fig 10. As indicated in the network,
ρ1 correspond to the resistances between the potentials Vi,j
and Vi±2,j±1 and ρ2 are the resistances between the potentials
Vi∓2,j∓1. XI. BOUNDARY CONDITIONS Consider for example the deflection of a square clamped
plate (26–28) to illustrate the implementation of the boundary
conditions. The Dirichlet boundary conditions (27) impose
the value of the function along the boundary. The Neumann
boundary conditions (28) impose the normal derivative along
the boundary. Vi,j
2
ρ1
+ 2
ρ2
+ 2
ρ′
1
+ 2
ρ′
2
−1
ρ1
Vi+2,j+1 −1
ρ2
Vi−2,j+1
−1
ρ1
Vi−2,j−1 −1
ρ2
Vi+2,j−1
(23)
−1
ρ′
1
Vi+1,j+1 −1
ρ′
2
Vi−1,j+1
−1
ρ′
1
Vi−1,j−1 −1
ρ′
2
Vi+1,j−1
=
i0 ∂4V
∂x4 + 2 ∂4V
∂x2∂y2 + ∂4V
∂y4
=
i0 (x, y) ,
(26)
V (x, y)
=
VB on ∂Ω,
(27)
∂V
∂n (x, y)
=
0 on ∂Ω. (28) (23) (28) The cell of the boundary conditions is constructed by doing
a “schematic sum” of the boundary cells of each term of
the PDE. The cell which implements the Dirichlet boundary
conditions is built by simply replacing the current source i0 of
each elementary cell by a constant voltage source v0 of value
VB. (v0 = Vi,j with i and j null or equal to N in Fig. 11)
This imposes the voltage VB along the boundaries. The cell The cell of the boundary conditions is constructed by doing
a “schematic sum” of the boundary cells of each term of
the PDE. The cell which implements the Dirichlet boundary
conditions is built by simply replacing the current source i0 of
each elementary cell by a constant voltage source v0 of value
VB. (v0 = Vi,j with i and j null or equal to N in Fig. 11)
This imposes the voltage VB along the boundaries. The cell If we choose ρ1 = −4h4ρ0, ρ2 = 4h4ρ0 and the corre-
sponding resistances ρ′
1 and ρ′
2 of the molecule 11 so that
ρ′
1 = 4h2ρ0/2 and ρ′
2 = −4h2ρ0/2, the potential at node Vi
estimates the 3–1 partial derivative of the function v(x) at a of the Dirichlet boundary conditions for the fourth derivative
term is given in Fig. 11. These cells are located around a filled
square on Fig. 1. The case α = β = 0 corresponds to the Molecule 00, which
is the trivial molecule ?>=<
89:;
1
. The unit circuit which “codes” the
equation Vi = ρ0i0 is given in Fig 13. XI. BOUNDARY CONDITIONS This case is important,
it allows to manage the terms of PDE which involves the
function itself (or derivative of order 0 of a function to justify
the terminology Molecule 00). 1
2
2
1
r1
r4
r2
r5
r3
r6
v0 = VB
V0 = VB
Fig. 11. Cell of the Dirichlet boundary conditions for the fourth derivative
term. i0
Vi
ρ0
Fig. 13. Network of molecule 00. Fig. 11. Cell of the Dirichlet boundary conditions for the fourth derivative
term. Fig. 13. Network of molecule 00. The cell which implements the Neumann boundary condi-
tions is built by simply replacing the current source i0 of each
elementary cell by a voltage–controlled voltage source v−1,
in the case of condition (28), the VCVS has the value of the
voltage node V1 at the inner side of the boundary. This is the
PNR-circuit counterpart of how the finite difference method
imposes a null derivative of a function along the boundaries. Other Neumann conditions are built in the same way. The cell
of this Neumann boundary conditions for the fourth derivative
term is given in Fig. 12. These cells are located arround a
cross on Fig. 1. Notice that for the cell at the left part of the
boundary the resistances r1, r2 and r3 are not connected and
could be removed. XIII. CONCLUSION We have proposed a concept of periodic network of re-
sistances (PNR) to define electronic circuits which are able
to solve PDE. We adopt an electronician point of view, i.e. designing the electronic circuits and simulating them. The
matrix equations of our periodic circuit are the same as the
corresponding set of finite difference equations to resolve a
given PDE. Hovewer, the accuracy and the stability of the
numerical schemes have to be carrefully studied. By doing a “schematic sum” of some elementary networks
defined in the previous sections, it is possible to build the 2D
electronics circuit which is a solution of a given linear partial
differential equation, for example the plate equation: 1
2
2
1
r1
r4
r2
r5
r3
r6
v−1 = V1
V−1 = V1
Fig. 12. Cell of the Neumann boundary conditions for the fourth derivative
term. ∂4u
∂x4 + 2
∂4u
∂x2∂y2 + ∂4u
∂y4
=
P
D. Moreover, generalization to non constant coefficient PDE,
non–elliptic PDE or PDE with an arbitrary function in the
right hand side is faisable by the same method. By using
multiplior, even nonlinear PDE could be manageable. All these
generalizations suppose implicitly that the finite difference
equations relative to the periodic network are mathematicaly
valid. Fig. 12. Cell of the Neumann boundary conditions for the fourth derivative
term. XII. SIMULATION AND COMMENTS An example of application of PNR could be the real time
control of a system, with a PDE control law implemented
under the form of an analog integrated circuit instead of a
numerical one. It is difficult to quatify the gain in speed, that
may be of a factor 1000. We have developed a program which generates the Spice
network corresponding to the chosen finite difference discreti-
sation scheme from a (linear) partial differential equation. The
generated file contained the N or N 2 cells of the domain, and
the cells at the boundaries to take account of the boundary
conditions. All the circuits defined in the previous sections
have been independently checked by simulating the PDE: Of course, a practical implementation of the method de-
scribed in this paper under the form of integrated circuits is
challenging, some of the numerous problems are the integra-
tion of the many NIC (Negative Impedance Convertor) to sim-
ulate the negative resistances: How to choose the magnitude
of the elements ? Should the scaling operate on the resistances
or on the current sources ? What is the effect of the scattering
of the component values (some finite difference schemes are
very sensitive to it, but finite difference schemes deriving from
physical equations have “generally” a good behavior). ∂α+βv
∂xα∂yβ
=
α!β!, with α+β ⩽4 on the domain Ω= [0, 1]×[0, 1], with the right
boundary conditions. The Spice solution for the potential Vi,j
has been compared with the PDE solutions v (x, y) = xαyβ
for different mesh sizes. On these academic examples, there
is no significant difference between the solutions. [4] L. Chua, “Bipolar–jfet–mosfet negative resistance devices,” IEEE Trans.
Circuits Syst., vol. CAS–32, no. 1, pp. 46–61, Jan. 1985. REFERENCES [4] L. Chua, “Bipolar–jfet–mosfet negative resistance devices,” IEEE Trans. Circuits Syst., vol. CAS–32, no. 1, pp. 46–61, Jan. 1985. [1] S. Shukla and R. I. Bahar, Nano, Quantum and Molecular Computing. Kluwer Academic Publishers, 2004. [5] C. Toumazou and F. Lidgey, “Current–conveyor basic and applications,”
in Proc. IEEE International Symposium on Circuits and Systems (ISCAS
1994), London, England, May 30–June 2 1994, pp. 569–585. [2] K. Lehovec and R. Zuleeg, “Negative resistance of a modified insulated–
gate field–effect transistor,” Proc. IEEE, vol. 62, pp. 1163–1165, Aug. 1974. [6] W. Kiranon, C. Loescharataramdee, N. Kiatwarin, and P. Wardkein, “Elec-
tronically controlled negative resistance based on translinear circuits,” in
Proc. of ISPACS’99, Phuket, Thailand, Dec. 1999, pp. 645–648. [3] H. Takagi and G. Kano, “Complementary jfet negative resistance devices,”
IEEE J. Solid–State Circuit, vol. SC–10, pp. 509–515, Dec. 1975.
|
https://openalex.org/W4206586095
|
https://sciforum.net/paper/download/10686/manuscript
|
English
| null |
Seed biopriming of durum wheat with purified and combined halotolerant bacteria improved seed germination under salinity conditions
| null | 2,021
|
cc-by
| 4,767
|
Seed biopriming of durum wheat with purified and combined bacterial culture
improved seed germination under salt stress Adel Hadj Brahima*, Lobna Daouda , Manel Ben Alia,b , Asmahen Akremia, Mouna Jlidia
, Houda Hmania ,Naser Aliye Fetoc, Mamdouh Ben Alia,b
*E-mail addresses: adelhadjibrahim@gmail.com
a Laboratory of Microbial Biotechnology, Enzymatic, and Biomolecules (LMBEB), Centre of Biotechnology of
Sfax (CBS), University of Sfax, P.O. Box 1177, Sfax 3018, Tunisia
b A
Bi
h B
i
i
b
C
f Bi
h
l
f Sf
(CBS) U i
i
f Sf
R
d
f Sidi b Astrum Biotech, Business incubator, Center of Biotechnology of Sfax (CBS), University of Sfax, Road of Sidi
Mansour km 6, PO Box 1177 Sfax 3018, Tunisia. c OMICS Research Group, Department of Biotechnology, Vaal University of Technology, Johannesburg-
Vanderbijlpark, South Africa MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 1 MDPI MOL2NET, International Conference Series on Multidisciplinary Sciences
MODEC-05: Nat. Prod. & Agro-Indust. Proc. in Amazon, UEA, Puyo,
Ecuador, 2020 1. Introduction To date, soil salinity becomes a huge obstacle for food production worldwide since salt stress is one of
the major factors limiting agricultural productivity. It is estimated that a significant loss of crops (20–
50%) would be due to drought and salinity. Salinity not only hampers crop productivity, but also
threatens the sustainability of agro-ecosystems worldwide. The osmotic stress caused by high salinity
(100–200 mM) is originated from the reduction in solute potential of soil solution [1]. Further, a salt-
affected area in Tunisia is fast escalating due to intrusion of saline water on arable land and the use of
chemical fertilizers and pesticides [2]. Moreover, climate change scenarios showed the increased risk
of salinization at different latitudes. Therefore, a great effort is required for maintaining crop
production under limiting factors. Due to the rising severity of salinity on global food production, numerous strategies have been offered
to cope with the increasing challenging soil conditions. Along with plant breeding [3], plant genetic
engineering [4], and genetic transformation [5], agricultural practices have dramatically contributed to
the improvement of plant tolerance to salinity stress. Among these agricultural approaches, the
bacterization of plant crops with PGPB and the implementation of these useful rhizobacteria in seed
biopriming have demonstrated their beneficial properties in enhancing plant growth and development,
and in augmenting plant salt stress tolerance through different mechanisms [6-9]. Therefore, the present study was conducted to isolate and identify PGPB associated with the
halophyte salicornia brachiata from the coastal saline sites and evaluation their bacterization effect on
germination rate and explants growth of durum wheat seeds with “Biopriming” approach. Abstract: Background and aim: Improved crop productivity under stressful conditions is a major asset of
global agriculture. Salinity is one of the most severe abiotic stresses limiting crop yield. Further, a salt-
affected area in Tunisia is fast escalating due to intrusion of saline water on arable land and the use of
chemical fertilizers and pesticides. Moreover, climate change scenarios showed the increased risk of
salinization at different latitudes. Therefore, a great effort is required for maintaining crop production
under limiting factors. The present study was conducted to isolate and identify PGPB associated with
the halophyte Salicornia brachiata from the coastal saline sites and evaluation their bacterization
effect of durum wheat seeds with “Biopriming” technology. Methods: The selection parameters of PGPB strains were based on the ability to promote the growth
of plants under stressful conditions. On the other hand, the effect of selected isolates on germination of
durum wheat (Triticum durum) was assessed in vivo conditions. The treatment with bacteria was
applied on purified and combined strain under 25 and 125 mM NaCl. Results: A total of 22 isolates were selected in-vitro for studying their plant growth-promoting
(PGPB) ability including, tolerance with salt concentration, ACC deaminase activity, N2 fixation,
phosphorus solubilization, and indole-3-acetic acid (IAA), out of which, three strains (MA9, MA32,
and SA62) were selected. Our data revealed that experiments using treated with NaCl and bioprimed
seed permitted us to identify the most efficient isolates in a combined culture which offered the best
rate of germination and the highly vegetable growth of explants (roots and shoots). In fact, the benefic
effect of seed biopriming was more pronounced in samples added with NaCl than that of untreated
samples. Conclusion: Seed biopriming with efficient PGPB strains induced salinity tolerance of wheat and
therefore enhanced their rate of germination and growth of explants under salinity. ords: Co-inoculation; PGPB; halotolerant bacteria; seed biopriming; durum wheat; MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 2 2. 1. Materials 2. 1. Materials
Roots of salicornia brachiata and soil samples were collected from sabkha site in Tunisia
(34°46’16’’N10°48’24’’E). Many laboratories materials were used such as rotary spectrophotometer,
shecker, Marie bath, Bacterial temperature Incubator, Erlenmeyer flasks,… MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 3 Then, a 10-fold serial dilution was prepared, and 0.1 mL aliquots were spread in Petri plates in
duplicate over the Burk’s N-free medium. The plates were kept at 30◦ C for 7 days. The macerate of washed roots were inoculated in a culture flask containing Burk’s N-free medium and
incubated for 7days at 30°C. Then, a 6-fold serial dilution was prepared, and 0.1 mL aliquots were
spread in Petri plates in duplicate over the Burk’s N-free medium. The plates were incubated for 7
days at 30°C and morphologically different colonies appearing on the medium were isolated and
subcultured for further analysis. 2.2.2. Diazotrophic potential of the isolates Bacterial isolates were examined for their nitrogen-fixation (diazotrophic) potential first by testing
their growth on the liquid and solid mineral nitrogen free medium [10] ( medium removing NaNO3)
with oil as a sole source of carbon and energy. Isolates were then tested for nitrogenase, using the
method of Quantification of N fixing capacity. 2.2.3. Effect of physiological conditions on the growth of potent N fixing Bacteria Effect of various growth conditions such as temperature, salt tolerance and pH on the growth of the
most potent N fixers were checked in nutrient broth. For studying the effect of temperature, potent
bacteria were incubated at temperatures viz., 25oC, 30oC, 35oC, and 40oC for 24 h at 150 rpm. Nutrient
broth supplemented with different concentrations of NaCl (ranging from 50-400mM) was used for salt
tolerance studies and the hydrogen ion concentration in the range of 5-8 was selected for pH studies. The flasks were incubated at corresponded temperature for 24 h in a rotary shaker at 150 rpm. The
growth and activity of the potent N fixing bacteria in the given growth conditions were observed by
taking the optical density of the medium. Screening of phosphate solubilizing Bacteria Modified Pikovskaya agar plates were prepared and test isolates were streaked on plates, then the
plates were the incubated at 37°C and observed for 2-7 days [11]. The strains forming zone of
clearance were maintained by streaking on nutrient agar slants and stored at 4°C. 2.2.1. Sampling and isolation of diazotrophs bacteria Ten grams of soil collected from a native site of sabkha in Tunisia (34°46’16’’ N10°48’24’’ E) were
added into 90 mL of sterile saline (NaCl, 0.85%) in Erlenmeyer flasks, which were shaken for 30 min. Hydrogen cyanide (HCN) production HCN production was determined by color change of filter paper [14]. Loopful of bacterial suspension
was inoculated on nutrient agar medium (Merck, Germany) containing 4.4 g L-1 glycine. Filter papers
were soaked in a reagent solution (sodium carbonate 2% and picric acid 0.5%) and placed in the upper
lid of Petri dishes. To prevent volatilization, the plates were sealed with parafilm and incubated at
37°C for 7 days. One plate without inoculation of bacterium was considered as control. If HCN was
produced, yellow filter papers changed to cream, light brown, dark brown and eventually turn into
reddish-brown. Siderophore production Production of siderophore was detected by standard method Schwyn and Neiland (1987) [13] using
chrome azurol S (CAS) as indicator. The isolates were spot inoculated at the center of the plate and
incubated for 7 days. The change in the color of the medium around the bacterial spot was an
indication of siderophore production. Production of Ammonia Bacterial isolates were tested for the production of ammonia in peptone water. Freshly grown cultures
were inoculated in 10 ml peptone water in each tube and incubated for 7 days at 37°C. Nessler’s
reagent (0.5 ml) was added in each tube. Development of brown to yellow colour was a positive test
for ammonia production [15]. MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 4 Indole acetic acid (IAA) production was detected as described by Patten et al. (2002) [12]. Bacterial
cultures were grown for 7 days in halophilic medium containing supplement of 20g NaCl at 37°C. Fully grown cultures were centrifuged at 3,000 rpm for 30 min. The supernatant (2 mL) was mixed
with 2 drops of orthophosphoric acid and 4 mL of Salkowski reagent (50 mL, 35% of perchloric acid
and 1 mL 0.5 M FeCl3solution). Development of pink color indicated IAA production. Exopolysaccharide production The qualitative determination of exopolysaccharide production was performed according to Paulo et al. (2012) [16]. Each strain was inoculated onto 5-mm diameter paper discs disposed in a medium (2%
yeast extract; 1.5% K2HPO4; 0.02% MgSO4; 0.0015% MnSO4; 0.0015% FeSO4; 0.003% CaCl2;
0.0015% NaCl; 1.5% agar) modified by the addition of 10% of saccharose, pH value of 7.5. The
production was characterized by the size of the halo produced and its slime appearance. IAA production MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 Antifungal assay The agar well diffusion method as adopted earlier by Mehmood et al., (1999) [17] was used with minor
modification. The bacterial isolates tested for their antifungal activity were fully grown in LB medium. Wells of 8mm diameter of test fungus were punched into in the Potato dextrose agar (PDA) slants and
filled with 200 ml (2. 107 CFU/ml) of bacterial culture. Potato dextrose broth was taken as negative MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 5 control. The plates were incubated for 5–6 days at 28°C. The antifungal activity was evaluated by
measuring the growth inhibition zone against test fungi. 2.2.4. Preparation of inoculum and seed coating: Seeds of wheat variety “aouija” were obtained from Agricultural Research Institute INGREF Tunis-
Tunisia. Bacterial strains were grown overnight in LB broth at 28±2°C with constant shaking. Cells
were harvested by centrifugation and re-suspended in normal saline to get an optimum growth (OD 108
cells per mL at λ600). Seeds were constantly shaken along-with the bacterial suspension with
continuous addition of the sterile carrier material until the seeds become coated with a thin film of
bacterial suspension and carrier material. Coated seeds were air-dried before sowing. After seed coating with potent PGPB strains, uniform and en seeds were sowed in pots and
germination of seeds was observed after 3th day. The seed germination was observed
3 Results and Discussion 3. Results and Discussion Table 1: Bacterial growth of selected isolates under different temperature, pH, and salt concentrations. Table 1: Bacterial growth of selected isolates under different temperature, pH, and salt concentrations. Isolate
code
Salt tolerance (mM)
Temperature tolerance(°C)
pH tolerance
50
150 200 400
25
30
35
40
5
6
7
8
MA9
+
++
+
+
++
+++
+
+
+
++
+++
+
MA32
++ ++++ +++
++
++
+++
++
++
++
+++
++++
++ hese strains (MA9, and MA32) were found to be able to metabolize sucrose, mannitol Accordingly, these strains (MA9, and MA32) were found to be able to metabolize sucrose, mannitol, glucose, starch, citrate, and nitrate with API 20E (data not shown). The isolates were also evaluated for
their tolerance to different concentration of salt and growth at different temperature and pH values. We
found that almost all bacterial strains were able to grow under all of the NaCl concentrations tested (50
to 400 mM) (Table 1), with an optimal growth at 30oC temperature and a pH of 6.5-7 and 150 mM of
NaCl for respectively, MA9, and MA32. glucose, starch, citrate, and nitrate with API 20E (data not shown). The isolates were also evaluated for
their tolerance to different concentration of salt and growth at different temperature and pH values. We
found that almost all bacterial strains were able to grow under all of the NaCl concentrations tested (50
to 400 mM) (Table 1), with an optimal growth at 30oC temperature and a pH of 6.5-7 and 150 mM of
NaCl for respectively, MA9, and MA32. MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 6 Table 2: Plant growth-promoting properties of selected strains isolated from coastal saline soil site in
Tunisia. Table 2: Plant growth-promoting properties of selected strains isolated from coastal saline soil site in
Tunisia. Isolate
code
PGP properties
Mycelial growth inhibition
HCN
Ammonium Siderophores
Diazotrophic
potentiel
ACC
deaminase
EPS
Rhizoctonia
solani
Fusarium
solani
Fusarium
oxysporum
Fusarium
graminarum
MA9
-
+++
+
+
+++
++++
+++
+
-
+
MA32
-
++++
+++
+++
+++++ ++++ +++
++++
++++
++++ Mycelial growth inhibition Mycelial growth inhibition In addition, the strains were positive for phosphate solubilisation, production of antimicrobial
compounds, production of auxin and siderophores, as well as for important plant growth promoting
(PGP) properties including dinitrogen fixation ability (Table 2), and hydrolytic potential of 1-
aminocyclopropane-1-carboxylate (ACC deaminase) (Table 2; Fig. 1). 3. Results and Discussion In an effort to decrease the widespread use of chemicals as a means of preventing phytopathogen
damage to plants, scientists have been developing the use of certain environmentally friendly PGPB as
biocontrol agents The antifungal activity of all strains was checked against fusarium solani, fusarium
oxysporum, fusarium graminearum and rhizoctonia solani using PDA medium (Table 2). The
antifungal activity of the tested strains varied according to PGPB and phytopathogenic fungal strain
whose MA32 as the most effective against all fungal strains. It should be noted that only with MA32
this activity was efficient against fusarium oxysporum. Moreover, no antifungal activity was noticed
with MA9 for fusarium oxysporum, whereas the strain MA9 had the same activity of MA32 under
rhizoctonia solani. PGPB as biocontrol agents with differents pathways: antibiotics production, cell
wall degrading enzymes, competition, hydrogen cyanide, induced systemic resistance (ISR), quorum
quenching, and bacteriophages. MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 7 The biodegradation of ACC, precursor of ethylene which had a negative impact on bacterial growth
under stress and therefore, limits the plant growth and productivity, was assessed with another
laboratory assay for better understand the bacterial biological pathways of ACC. The results shown in
Fig. 2 affirmed that the strain MA32 was a more activated biological pathway of ACC assimilation
than MA9 Figure 1: Bacterial growth in N free medium (A) and LB (B) under optimum of osmotic presure (mM
NaCl) à 30°C et pH 7. 0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
0,9
1
MA9
MA32
Bacterial growth
PGPB strain
MM
MM+ACC
A
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
0,9
0%
1
2
4%
Bacterial growth
NaCl %
MA9
MA32
B 0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
0,9
0%
1
2
4%
Bacterial growth
NaCl %
MA9
MA32
B 0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
0,9
1
MA9
MA32
Bacterial growth
PGPB strain
MM
MM+ACC
A Figure 1: Bacterial growth in N free medium (A) and LB (B) under optimum of osmotic presure (mM
NaCl) à 30°C et pH 7. The bacterial growth of the isolates was put under their optimum salt at 30°C and pH 7 under two
media: one rich LB and the other poor lacking a nitrogen source to enhance the growth capacity of the
strains to support stressful and non-stressful conditions. Growth on LB (Fig 1B) as well on N-free
medium ( Fig. 1A) shows that MA32 exhibits the best growth ability. Therefore, MA32 had higher
growth in a ACC medium than MA9. Ethylene synthesis in a particular plant is affected by the presence and concentration of other plant
hormones, temperature, gravity, light, nutrition, and the presence of various degrees of biotic/abiotic
stress which the plant may be subjected [18]. Its production more than its threshold level by the action
of ACC oxidase enzyme in plant tissues causes “stress ethylene” which affects the root and shoot
development in plants. Colonization of “stress ethylene” plant rhizosphere by ACC deaminase
producing PGPB help to alleviate this situation and restores normal plant development. In order to test MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 8 the ability of strain to assimilate 1-aminocyclopropane-1-carboxylate (ACC), precursor of ethylene
responsible of senescence and stress hormone in plants, bacterial growth is measured in the presence of
ACC and another source of inorganic nitrogen ((NH4)2SO4) in the minimum medium. Our results show
that the growth of MA9, using both sources, is minimal for ACC and maximal for (NH4)2SO4 and
contradictory in MA32 whose activity is maximal for ACC and minimal for (NH4)2SO4 (Fig.2). Whereas, the strain, which able to assimilate ACC, have active pathway of secretion of hydrolytic
enzyme of ACC named ACC deaminase. This biological pathway is active in other tested strain MA9,
but not in the same rate of secretion. the ability of strain to assimilate 1-aminocyclopropane-1-carboxylate (ACC), precursor of ethylene
responsible of senescence and stress hormone in plants, bacterial growth is measured in the presence of
ACC and another source of inorganic nitrogen ((NH4)2SO4) in the minimum medium. Our results show
that the growth of MA9, using both sources, is minimal for ACC and maximal for (NH4)2SO4 and
contradictory in MA32 whose activity is maximal for ACC and minimal for (NH4)2SO4 (Fig.2). Whereas, the strain, which able to assimilate ACC, have active pathway of secretion of hydrolytic
enzyme of ACC named ACC deaminase. This biological pathway is active in other tested strain MA9,
but not in the same rate of secretion. In this regard, bacteria that express ACC deaminase, by lowering plant ACC levels (and subsequently
plant ethylene levels) can decrease the detrimental effect on plants from different stresses [19]. The
ACC is being converted by ACC deaminase in the PGPB to α-Ketobutyrate and ammonia. Figure 2: ACC deaminase activity expressed in bacterial growth of selected bacteria on N-free medium
(NFMM) supplemented with ACC (1-aminocyclopropane-1- carboxylate) and (NH4)2SO4 as nitrogen source. 0
0,2
0,4
0,6
0,8
1
1,2
1,4
ACC
(NH4)2SO4
Bacterial growth
Nitrogen source
MA9
MA32 0
0,2
0,4
0,6
0,8
1
1,2
1,4
ACC
(NH4)2SO4
Bacterial growth
Nitrogen source
MA9
MA32 Figure 2: ACC deaminase activity expressed in bacterial growth of selected bacteria on N-free medium
(NFMM) supplemented with ACC (1-aminocyclopropane-1- carboxylate) and (NH4)2SO4 as nitrogen source. The tested strains were found to produce variable amounts of auxins (Fig. 3A) ranging from 82 to 209
µg/ml in a free-tryptophan medium. The two strains MA9 and MA32 produced relatively more auxin
with tryptophan at 202 and 376 µg/ml, respectively. MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 9 0
0,05
0,1
0,15
0,2
0,25
0,3
0,35
0,4
0,45
MA9
MA32
IAA (mg/ml)
PGPB strain
IAA-Trypt
IAA+Trypt
A
0
10
20
30
40
50
60
MA9
MA32
Phosphate soluble (µg/ml)
PGPB strain
phosphat…
B 0
0,05
0,1
0,15
0,2
0,25
0,3
0,35
0,4
0,45
MA9
MA32
IAA (mg/ml)
PGPB strain
IAA-Trypt
IAA+Trypt
A 0
10
20
30
40
50
60
MA9
MA32
Phosphate soluble (µg/ml)
PGPB strain
phosphat…
B Figure 3: (A) IAA production, (B) P-solubilization of selected strains in the presence of 2% NaCl. Error bars
show the standard deviation of the mean values of three replicates (P<0.05). Figure 3: (A) IAA production, (B) P-solubilization of selected strains in the presence of 2% NaCl. Error bars
show the standard deviation of the mean values of three replicates (P<0.05). Figure 3: (A) IAA production, (B) P-solubilization of selected strains in the presence of 2% NaCl. Error bars
show the standard deviation of the mean values of three replicates (P<0.05). The idea of eliminating the use of all chemicals inputs in agriculture which are sometimes
environmentally unsafe is slowly becoming a reality because of the emergence of microorganisms that
can serve the same purpose or even do better [20]. Depletion of soil nutrients through leaching into the
waterways and causing contamination are some of the negative effects of these chemical inputs that
prompted the need for suitable alternatives. This brings us to the idea of using microbes that can be
developed for use as biological inputs (biofertilizers; biostimulators; bioinductors of defense
system;…) [20]. They are environmentally friendly as they are natural living organisms. They increase
crop yield and production and, in addition, in developing countries, they are less expensive compared
to chemical fertilizers. These biofertilizers are typically called plant growth-promoting bacteria
(PGPB). MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 10 0
20
40
60
80
100
120
MA9
MA32
Control
MA9/MA32
% Germination
PGPB strain
0mM NaCl
125 mM NaCl Wheat (Triticum aestivum L. subseq. durum) represents a major renewable resource for food, feed, and
industrial raw material and it is the most widely grown worldwide crop. For this, it is interesting to
develop new techniques, such as seed biopriming, for improving and protecting crops against limiting
factors. Seed biopriming proved the germination rate of wheat seeds after five days of obscurity
incubation at 25°C. MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 Compared with unbioprimed seeds treated with salt, the germination rate is more
pronounced in untreated and unbioprimed seeds. Therefore, germination is more favored after seed
treatment with the strains. Under control conditions, after five days, the germination is improved in
bioprimed seeds with MA9 and MA32 by 91 and 93% respectively. While, under treated seeds with
125 mM salt, the germination rate is 78 and 81% respectively seed biopriming with MA9 and MA32. Wheat (Triticum aestivum L. subseq. durum) represents a major renewable resource for food, feed, and
industrial raw material and it is the most widely grown worldwide crop. For this, it is interesting to
develop new techniques, such as seed biopriming, for improving and protecting crops against limiting
factors. Seed biopriming proved the germination rate of wheat seeds after five days of obscurity
incubation at 25°C. Compared with unbioprimed seeds treated with salt, the germination rate is more
pronounced in untreated and unbioprimed seeds. Therefore, germination is more favored after seed
treatment with the strains. Under control conditions, after five days, the germination is improved in
bioprimed seeds with MA9 and MA32 by 91 and 93% respectively. While, under treated seeds with
125 mM salt, the germination rate is 78 and 81% respectively seed biopriming with MA9 and MA32. As it was mentioned that the two strains exhibit all the biochemical characteristics of plant growth
promotion under 2% NaCl, it is interesting to exploit the combined effect of these two complementary
strains to better have a detailed idea on the formulation of efficient bio-inoculants in agriculture. This
combined effect is tested to germinate durum wheat seeds under stress to ascertain the effect of stress
on growth and on the germination rate of seeds. As it was mentioned that the two strains exhibit all the biochemical characteristics of plant growth
promotion under 2% NaCl, it is interesting to exploit the combined effect of these two complementary
strains to better have a detailed idea on the formulation of efficient bio-inoculants in agriculture. This
combined effect is tested to germinate durum wheat seeds under stress to ascertain the effect of stress
on growth and on the germination rate of seeds. Our results reveal that the biopriming of the seeds with a combination of two relevant strains,
markedly improves the germination rate that it was 93 and 88% respectively with MA9 and MA32 in
untreated and treated seeds. MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 11 highest germination promotion and salinity tolerance. Hence, it would be worth to test this
combination strains under field conditions as a step towards its commercial production. Moreover,
these strains could be further assessed for its potential role in bioprotection and growth promotion of
other crop plants. 16.
Paulo, E.M., et al., An alternative method for screening lactic acid bacteria for the production
of exopolysaccharides with rapid confirmation. Food Science and Technology, 2012. 32(4): p.
710-714. 5. References 1. Ha-Tran, D.M., et al., Roles of Plant Growth-Promoting Rhizobacteria (PGPR) in Stimulating
Salinity Stress Defense in Plants: A Review. International Journal of Molecular Sciences, 2021. 22(6): p. 3154. 1. Ha-Tran, D.M., et al., Roles of Plant Growth-Promoting Rhizobacteria (PGPR) in Stimulating
Salinity Stress Defense in Plants: A Review. International Journal of Molecular Sciences, 2021. 22(6): p. 3154. 2. Bai, Y.-C., et al., Soil chemical and microbiological properties are changed by long-term
chemical fertilizers that limit ecosystem functioning. Microorganisms, 2020. 8(5): p. 694. 3. Fita, A., et al., Breeding and domesticating crops adapted to drought and salinity: a new
paradigm for increasing food production. Frontiers in Plant Science, 2015. 6: p. 978. 4. Wang, W., B. Vinocur, and A. Altman, Plant responses to drought, salinity and extreme
temperatures: towards genetic engineering for stress tolerance. Planta, 2003. 218(1): p. 1-14. 5. Jha, S., Transgenic approaches for enhancement of salinity stress tolerance in plants, in
Molecular Approaches in Plant Biology and Environmental Challenges. 2019, Springer. p. 265-322. 6. Moeinzadeh, A., et al., Biopriming of Sunflower ('Helianthus annuus' L.) Seed
with'Pseudomonas fluorescens' for Improvement of Seed Invigoration and Seedling Growth. Australian Journal of Crop Science, 2010. 4(7): p. 564. 7. Ansari, T., et al., Biopriming of wheat seeds with rhizobacteria containing ACC-deaminase and
phosphorate solubilizing activities increases wheat growth and yield under phosphorus
deficiency. Pakistan Journal of Agriculture, Agricultural Engineering and Veterinary Sciences,
2015. 31(1): p. 24-32. 8. Meena, S.K., et al., Effect of nitrogen levels and seed bio-priming on root infection, growth and
yield attributes of wheat in varied soil type. Biocatalysis and Agricultural Biotechnology, 2017. 12: p. 172-178. 9. Brahim, A.H., et al., Seed-Biopriming of Durum Wheat with Diazotrophic Plant Growth
Promoting Bacteria (PGPB) Enhanced Tolerance to Fusarium Head Blight (FHB) and Salinity
Stress. 2019. 10. Sorkhoh, N., et al., Crude oil and hydrocarbon-degrading strains of Rhodococcus rhodochrous
isolated from soil and marine environments in Kuwait. Environmental Pollution, 1990. 65(1):
p. 1-17. 11. Mehta, S. and C.S. Nautiyal, An efficient method for qualitative screening of phosphate-
solubilizing bacteria. Current microbiology, 2001. 43(1): p. 51-56. 12. Patten, C.L. and B.R. Glick, Role of Pseudomonas putida indoleacetic acid in development of
the host plant root system. Appl. Environ. Microbiol., 2002. 68(8): p. 3795-3801. 12. Patten, C.L. and B.R. Glick, Role of Pseudomonas putida indoleacetic acid in development of
the host plant root system. Appl. Environ. Microbiol., 2002. 68(8): p. 3795-3801. 13. Schwyn, B. 4. Conclusions The strains MA9 and MA32 were found to have PGPB characteristics as they produced indole-3-acetic
acid, siderophores, and lytic enzymes, fixed free atmospheric nitrogen, and solubilized inorganic
phosphate, in vitro. Yet, biopriming with combined bacterial formulation MA9/MA32 offered the MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 17.
Mehmood, Z., et al., Indian medicinal plants: a potential source for anticandidal drugs.
Pharmaceutical Biology, 1999. 37(3): p. 237-242. g
,
( ) p
20.
Olanrewaju, O.S., B.R. Glick, and O.O. Babalola, Mechanisms of action of plant growth
promoting bacteria. World Journal of Microbiology and Biotechnology, 2017. 33(11): p. 1-16. 18.
Gamalero, E. and B.R. Glick, Bacterial modulation of plant ethylene levels. Plant Physiology,
2015. 169(1): p. 13-22. 19.
Glick, B.R., Bacteria with ACC deaminase can promote plant growth and help to feed the
world. Microbiological research, 2014. 169(1): p. 30-39. Mehmood, Z., et al., Indian medicinal plants: a potential source for anticandida
Pharmaceutical Biology, 1999. 37(3): p. 237-242. 5. References and J. Neilands, Universal chemical assay for the detection and determination of
d
h
A
l i
l bi
h
i
198
160(1)
4
56 Schwyn, B. and J. Neilands, Universal chemical assay for the detection and determi
siderophores. Analytical biochemistry, 1987. 160(1): p. 47-56. siderophores. Analytical biochemistry, 1987. 160(1): p. 47 56. 14. Alström, S. and R.G. Burns, Cyanide production by rhizobacteria as a possible mechanism of
plant growth inhibition. Biology and Fertility of Soils, 1989. 7(3): p. 232-238. 15. Cappuccino, J. and N. Sherman, Biochemical activities of microorganisms. Microbiology, A
Laboratory Manual. The Benjamin/Cummings Publishing Co. California, USA, 1992: p. 188-
247. 16. Paulo, E.M., et al., An alternative method for screening lactic acid bacteria for the production
of exopolysaccharides with rapid confirmation. Food Science and Technology, 2012. 32(4): p. 710-714. MOL2NET, 2021, 7, ISSN: 2624-5078
http://sciforum.net/conference/mol2net-07 12 p
19. Glick, B.R., Bacteria with ACC deaminase can promote plant growth and help to feed the
world. Microbiological research, 2014. 169(1): p. 30-39. g
( ) p
20. Olanrewaju, O.S., B.R. Glick, and O.O. Babalola, Mechanisms of action of plant growth
promoting bacteria. World Journal of Microbiology and Biotechnology, 2017. 33(11): p. 1-16.
|
https://openalex.org/W2318281787
|
https://europepmc.org/articles/pmc4093304?pdf=render
|
English
| null |
Vaccination Recommendations for the Hematology and Oncology and Post–Stem Cell Transplant Populations
|
Journal of the advanced practitioner in oncology
| 2,012
|
cc-by
| 9,709
|
REVIEW REVIEW Vaccination Recommendations for
the Hematology and Oncology and
Post–Stem Cell Transplant Populations VIVIAN TSANG, PharmD, BCOP From Cedars-Sinai Medical Center,
Los Angeles, California From Cedars-Sinai Medical Center,
Los Angeles, California From Cedars-Sinai Medical Center,
Los Angeles, California
Author's disclosures of potential
conflicts of interest are found at
the end of this article.
Correspondence to: Vivian Tsang,
PharmD, BCOP, Cedars-Sinai Medi
cal Center, 8700 Beverly Boulevard,
Los Angeles, CA 90048. E-mail:
tsangv@cshs.org
© 2012 Harborside Press® Correspondence to: Vivian Tsang,
PharmD, BCOP, Cedars-Sinai Medi
cal Center, 8700 Beverly Boulevard,
Los Angeles, CA 90048. E-mail:
tsangv@cshs.org y
Diseases While infection remains the leading cause of
posttransplant complications, protection against
vaccine-preventable infections remains a priority. Many patients have undergone childhood vaccina
tion per the CDC guidelines. As an adult, the need
for boosters is recommended based on a recent out
break or the demonstration of a decrease or loss in
immunity. In patients undergoing transplant, the
loss of pretransplant immunity is inevitable. The de
gree of immunity loss may be dependent on several
factors such as the strength of the existing immunity,
the type of transplant, the source of the stem cells,
the conditioning regimen used, the presence and se
verity of graft-vs.-host disease (GVHD), and the im
munosuppression used (Ljungman et al., 2005). With a general 2-week lag time for an antibody
response postvaccination, it is recommended that
at-risk patients obtain the influenza vaccine prior
to the peak of the season. Per the CDC, annual vac
cination against influenza is recommended (CDC,
2012). Patients should be vaccinated at least 2
weeks before starting chemotherapy or in between
cycles, with the former scenario likely more ben
eficial (Sommer et al., 2006; Melcher, 2005). Following the suppression of the immune sys
tem, the body’s natural course of recovery (other
wise known as immune reconstitution) begins at
the blood cell line level, followed by B-cell recov
ery, and finally T-cell recovery. After high-dose
cytotoxic therapy, once nadir is reached, blood
cell line recovery begins at 2 to 4 weeks followed
by B- and T-cell recovery at approximately 1 to 3
months posttransplant. As a result of the delayed
recovery, a fully functional immune system is
not obtained until approximately 6 to 12 months
posttransplant (Singhal & Mehta, 1999). Despite
eventual recovery of the immune system, some
posttransplant patients are viewed as “never vac
cinated,” thereby requiring specific reimmuniza
tion for certain vaccines while avoiding others. i
In the HSCT population, it is recommended
that vaccination with the inactivated influen
za vaccine should take place no sooner than 6
months posttransplant but within the first year
after transplant. A second dose, 1 month later,
should be considered, especially if it is the first
time the patient has ever been exposed to the in
fluenza vaccine. Due to a compromised immune
system posttransplant, live attenuated influenza
is contraindicated in this population. Abstract Vaccination is a simple yet important process used to prevent many infec
tions in the general population. For patients with suppressed immune sys
tems, especially those who are undergoing chemotherapy or who have un
dergone stem cell transplant, repeat vaccination or boosters may be crucial
in prolonging and/or extending immunity. The purpose of this review is to
examine the need for each vaccine in two separate oncology populations:
patients receiving concurrent chemotherapy and post–stem cell transplant
patients. In addition, the importance of avoiding live vaccines and criteria
for reconsideration at a future time will also be discussed. Author's disclosures of potential
conflicts of interest are found at
the end of this article. J Adv Pract Oncol 2012;3:71–83 J Adv Pract Oncol 2012;3:71–83 D D
espite the implementa
tion of appropriate vacci
nations for a person with
a healthy immune sys
tem, immunity is not always achieved. For example, some individuals never
establish immunity after receiving a
hepatitis B vaccine (HBV) series (Egea
et al., 1991; Wood et al., 1993). Similarly,
oncology patients who have received
chemotherapy or hematopoietic stem
cell
transplantation
(HCST)
may
have poor uptake or may be unable to
mount an effective immune response
postvaccination. In order to accurately
assess a patient’s response to a specific
vaccination, it is suggested that a base
line titer be drawn prior to treatment
and compared to posttreatment levels
(Ring et al., 2003). For a healthy immune system, it
typically takes up to 2 weeks after vac
cination for the adaptive immunity to
respond to the exposed pathogen. In the
oncology population, concurrent che
motherapy and immune reconstitution
posttransplant are two factors that may
alter the effectiveness of vaccinations as
well as the recovery process of the im
mune system. As a result, the timing of
vaccinations with respect to treatment
may play a role in achieving extended
immunity and better outcomes for oncol
ogy patients (Pollyea et al., 2010). The Centers for Disease Control
and Prevention (CDC) have established
guidelines detailing recommended rou
tine vaccination schedules for various
populations. For healthy individuals,
the recommended schedules for the dif 71 Vol 3 No 2 Mar/Apr 2012 Vol 3 No 2 Mar/Apr 2012 AdvancedPractitioner.com REVIEW TSANG ferent age groups are available through the CDC
website (CDC, 2012). While these guidelines also
include high-risk patients, the timing and specific
recommendations for the oncology population are
inadequate. y
Diseases It is also
recommended that family members and caretak
ers also receive annual inactivated influenza vac
cination if there is contact with those who are im
munosuppressed (Ljungman et al., 2009).f The observed side effects of the inactivated
influenza vaccine are similar in all populations
in that they are generally mild and may include
soreness or pain around the injection site, fever,
fatigue, or myalgia. These symptoms may occur
6 to 12 hours postinjection and generally last no
longer than 2 days. In a rare case scenario Guil
lain-Barré Syndrome, a neurologic complication,
may occur (Shoji & Kaji, 2003). Abstract This review will focus on the need for
appropriate timing of specific vaccinations in two
adult oncology populations: those who are receiving
chemotherapy and those who have undergone stem
cell transplantation. 2004). Influenza A and B are two subtypes responsi
ble for this viral illness. Symptoms of influenza may
include fever and myalgia, with or without lower re
spiratory tract symptoms. Influenza A is further de
fined based on surface antigens (hemagglutinin and
neuraminidase), and influenza B by genetic lineages. Each year, the World Health Organization (WHO)
and the CDC produce influenza vaccine targeting
specific anticipated strains. In the general oncology population, the low
vaccination rate and insufficient immunologic
response to the influenza vaccine are two con
tributing factors to the high influenza mortal
ity rate: up to 90% (Loulergue et al., 2008) vs. < 10% in the nononcology population (CDC, 2012). In adults, the ability to mount a protective response
to the influenza vaccine was observed in 17% to 76%
of patients with hematologic malignancies and 41%
to 83% of patients with solid tumors (Table 1). Author The two inactivated influenza vaccine types and
dosing recommendations are presented in Table 2. Patients with a known allergic reaction or hypersen
sitivity to eggs should not receive the influenza vac
cine. While it is not contraindicated to vaccinate pa
tients who present with neutropenia, timing of the
influenza vaccination with respect to their acute or
chronic conditions should be considered. at-risk patients, it would likely have a significant im
pact on the improvement of mortality. The pneumo
coccal vaccine is generally recommended for very
young and very old individuals, and particularly for
those who are immunosuppressed and asplenic. Currently, two types of pneumococcal vac
cines are available. Pneumococcal conjugate vac
cine (PCV7) and pneumococcal polysaccharide
23-valent vaccine (PPSV23) are recommended for
pediatric and adult populations, respectively. In the
general pediatric population, PCV7 serotype specif
ic efficacy could reach upwards of 85% (Black et al.,
2000). PPSV23 has an overall effectiveness of 50%
to 70% in preventing pneumococcal bacteremia in
the adult population (Mangtani, Cutts, & Hall, 2003;
Fedson, 1999; Fine et al., 1994), but fails in the pre
vention of nonbacteremia pneumonia or otitis me Influenza Vaccine According to the CDC, an estimated 5% to
20% of the general population is affected by influ
enza each year. Despite the availability of vaccines,
influenza still accounts for over 200,000 hospi
talizations and roughly 35,000 deaths each year
(> 90% in older adults) (Thompson et al., 2003 & 72 J Adv Pract Oncol AdvancedPractitioner.com VACCINATION RECOMMENDATIONS Table 1. Adult Response to Influenza Vaccine
Author
Population
Measure of efficacy
Response
Hematology
Stiver et al. (1978)
Lymphoma, CLL
4× increase in HI titer
17%
Schafer et al. (1979)
NHL or
lymphoproliferative
disorders
4× increase in HI titer
36%
Hodges et al. (1979)
Hematologic malignancies
4× increase in HI titer
52%
Lo et al. (1993)
Lymphoma
4× increase in HI titer
42% after 1st shot
50% after 2nd shot
Robertson et al. (2000)
Multiple myeloma
HI titer > 1/40
19%
Rapezzi et al. (2003)
Lymphoproliferative
disorders
HI titer > 1/40
65%–76%
Solid tumors
Ganz et al. (1978)
Solid tumors
HI titer > 1/40
41%–47%
Stiver et al. (1978)
Breast cancer
4× increase in HI titer
50%
Anderson et al. (1999)
Lung cancer
HI titer > 1/40
83%
Note. CLL = chronic lymphocytic leukemia; HI = hemagglutination inhibition; NHL = non-Hodgkin lymphoma. Pneumococcal Vaccine The National Foundation for Infectious Diseas
es (NFID) reports that an estimated 175,000 hospi
talizations each year are attributed to pneumococcal
pneumonia. Streptococcus pneumonia and 90 other
strains of pneumococcus are the primary culprits of
such bacterial infections affecting many parts of the
body. When this infection invades the lungs, blood,
and brain, it results in pneumo
nia, bacteremia, and meningitis,
respectively. While the incidence
of severe pneumococcal infec
tion accounts for a small portion
of all pneumococcal infections,
the mortality rate remains at ap
proximately 7% (NFID, 2011). If
appropriate vaccination is rec
ommended and instituted for
Table 2. Inac
Rec
Vaccine type
Trivalent influe
Influenza A (H
Note. IM = intr Table 2. Inactivated Influenza Vaccine Types and Dosing
Recommendation
Vaccine type
Dose
Route
Population
Trivalent influenza vaccine (TIV)
0.5 mL
IM
≥ 36 mo
Influenza A (H1N1) monovalent
0.5 mL
IM
≥ 36 mo
Note. IM = intramuscular. Table 2. Inactivated Influenza Vaccine Types and Dosing
Recommendation
Vaccine type
Dose
Route
Population
Trivalent influenza vaccine (TIV)
0.5 mL
IM
≥ 36 mo
Influenza A (H1N1) monovalent
0.5 mL
IM
≥ 36 mo
Note. IM = intramuscular. Table 2. Inactivated Influenza Vaccine Types and Dosing
Recommendation 73 Vol 3 No 2 Mar/Apr 2012 AdvancedPractitioner.com REVIEW TSANG dia (Table 3). Due to the variation in immunogenic
ity between PCV7 and PPSV23, there are different
recommendations for these pneumococcal vaccines. cause PCV7 is more immunogenic. For this reason,
PCV7 is the preferred agent, with a three-dose se
ries followed by one dose of PPSV23 to broaden the
immune response (Cordonnier et al., 2008; Kumar
et al., 2007; Meisel et al., 2007; Molrine et al., 2003). Patients should begin receiving PCV7 at 6 months
posttransplant with 1-month intervals between each
of the first three doses, then a PPSV23 booster at
18 months after transplant to maximize the dura
tion of the pneumococcal protection (Hilgendorf et
al., 2011). If pneumococcal vaccination took place
early posttransplant before the 6-month mark, the
duration of antibody response could be suboptimal;
therefore, antibody titer should be determined and
revaccination implemented as deemed appropriate
(Hilgendorf et al., 2011; Ljungman et al., 2009). Pneumococcal Vaccine In general, adult patients who are receiving
chemotherapy treatment for both hematologic
(with some exceptions) and oncologic condi
tions should receive the pneumococcal vaccine
(PPSV23) 4 to 6 weeks (minimum 2 weeks) prior
to starting chemotherapy; revaccination should
occur once 5 years after the initial dose, then as
recommended by vaccination guidelines (CDC,
2012; Arrowood, 2002). Due to a lower immuno
genic response, patients receiving treatment for
multiple myeloma, Hodgkin and non-Hodgkin
lymphomas, and chronic graft-vs.-host disease
(cGVHD), as well as those who have undergone
total-body irradiation, should be vaccinated with
PCV7 instead of PPSV23 (Mangtani, Cutts, & Hall,
2003; Fedson, 1999; Fine et al., 1994). Common adverse reactions related to the pneu
mococcal vaccines are soreness at the injection site
and fever. Severe reactions are rare. Patients with an
acute infection—particular oncology patients who
are undergoing or have recently undergone chemo
therapy—should have pneumococcal vaccination
postponed until resolution of the infection. Approximately 1% to 10% of the HSCT popula
tion will contract a serious pneumococcal infection,
with a median onset of 1 year posttransplant (Engel
hard et al., 2002; Kulkarni et al., 2000). Timing and
vaccine formulation are critical for maximizing the
efficacy of pneumococcal vaccines. In four prospec
tive trials, HSCT recipients obtained better response
from PCV7 as compared to PPSV23, perhaps be Diphtheria-Pertussis-Tetanus Vaccines Diphtheria-Pertussis-Tetanus Vaccines Diphtheria is a transmissible upper respiratory
tract infection caused by Corynebacterium diphthe
riae. It spreads through direct contact with aerosol
ized and infected secretions. Since the implementa
tion of vaccination programs, there have been fewer
cases of tetanus and diphtheria cases each year in
the United States. Pertussis, also known as whoop
ing cough, is a highly contagious bacterial infection
caused by Bordetella pertussis. Due to the potential
for recurrence epidemiologically, an estimated 48
million cases and 295,000 deaths are attributed to
pertussis worldwide (Bettiol et al., 2010). Tetanus,
or lockjaw, is a preventable disease that affects the
muscles and nerves caused by Clostridium tetani. The usual path of entry is a break in the skin. In all
three instances, the primary method of prevention
for tetanus, diphtheria, and pertussis is vaccination. Table 3. Comparison Between PCV7 and
PPSV23
Type of
vaccine
Population
PCV7
• Indicated in children
< 2 years old
• Efficacy upwards of 85%
• More immunogenic
• Preferred in HSCT population and all
other oncology patients listed below
PPSV23
• Indicated in adults
• Efficacy 50%–70% (bacteremia
pneumonia only)
• Less effective than PCV7 at protecting
immunosuppressed patients
(particularly during treatment for
multiple myeloma, Hodgkin disease,
non-Hodgkin lymphoma, chronic
GVHD, post-TBI)
Note. GVHD = graft-vs.-host disease; HSCT =
hematopoietic stem cell transplantation; TBI = total-
body irradiation. Information from Black et al. (2000);
Fedson (1999); Fine et al. (1994); Mangtani et al. (2003). Table 3. Comparison Between PCV7 and
PPSV23
Type of
vaccine
Population
PCV7
• Indicated in children
< 2 years old
• Efficacy upwards of 85%
• More immunogenic
• Preferred in HSCT population and all
other oncology patients listed below
PPSV23
• Indicated in adults
• Efficacy 50%–70% (bacteremia
pneumonia only)
• Less effective than PCV7 at protecting
immunosuppressed patients
(particularly during treatment for
multiple myeloma, Hodgkin disease,
non-Hodgkin lymphoma, chronic
GVHD, post-TBI)
Note. GVHD = graft-vs.-host disease; HSCT =
hematopoietic stem cell transplantation; TBI = total-
body irradiation. Information from Black et al. (2000);
Fedson (1999); Fine et al. (1994); Mangtani et al. (2003). Table 3. VACCINATION RECOMMENDATIONS REVIEW 1930s, the distinction was made between bacterial-
induced H. influenzae and viral-induced influenzae. H. influenzae is often presented as a respiratory tract
infection, but may rarely cause bacteremia, pneumo
nia, and meningitis. Since the implementation of the
Hib conjugate vaccine in the 1990s, the prevalence
of invasive disease has dramatically decreased by
99% to less than 1 per 100,000 cases (CDC, 2008). the differences between these products. The lower
case “d” in Tdap represents a reduced dose of diph
theria toxoid as compared to the upper case “D” in
DTap, which contains a full dose of diphtheria tox
oid. The tetanus component is the same in Td, Tdap,
and DTap, while acellular pertussis is included in
the latter two products only. For patients with hematologic and oncologic
malignancies, Td is recommended once every 10
years; this is the same as the recommendation for
the general public (CDC, 2012). It is extremely
important for patients who are receiving che
motherapy to be updated with the tetanus-diph
theria vaccination (Arrowood & Hayney, 2002). Due to the recent outbreak of pertussis, it is also
recommended that a single dose of Tdap replace
one of the routine Td boosters. DTap is approved
for individuals less than 7 years old. Tdap is rec
ommended for healthy adults who have received
full-dose diphtheria as a child in order to avoid
the potential for a local reaction from repeated
exposure to full-dose diphtheria (CDC, 2012). In hematologic and oncologic adult patients, the
need for a vaccine booster is based on antibody ti
ter. It has been demonstrated that in patients with
Hodgkin disease and leukemia, posttreatment anti
body response to the Hib vaccine is suppressed as
compared to pretreatment levels. In addition, an
tibody titers used to confer protection are lower in
cancer patients as compared to the general popula
tion. In order to ensure optimal protection against H. influenzae, particularly for this population (Hodgkin
disease and leukemic patients), patients should have
titers tested both pre- and posttreatment; revaccina
tion may be considered if the titers remain low post
treatment (Pirofski & Casadevall, 1998). If the titer
is low, revaccination should be administered at least
2 weeks prior to starting chemotherapy to ensure
maximal response or at least 3 months after comple
tion of chemotherapy (Arrowood & Hayney, 2002). In contrast to their oncology and hematology
counterparts, posttransplant patients are poor re
sponders to Tdap. VACCINATION RECOMMENDATIONS It is recommended that post
transplant patients receive DTap due to its higher
response rate as compared to Tdap (Ljungman et al.,
2009; Hilgendorf et al., 2011). Post-HSCT patients
are viewed as “never vaccinated” and are at a lower
risk of local reaction from DTap than healthy indi
viduals. As such, DTap may be more immunogenic
and should be considered the initial vaccination
posttransplant. Patients should receive the DTap
three-dose series beginning 6 months posttrans
plant in monthly intervals, followed by a booster 18
months after HSCT (Hilgendorf et al., 2011). In the HSCT population, a three-dose series
beginning 6 months posttransplant, followed by a
booster at 18 months posttransplant, is recommend
ed (Hilgendorf et al., 2011; Ljungman et al., 2009). The response to postvaccination antibody level is
augmented if HSCT recipients received donor-im
munized hematopoietic stem cells as opposed to
nonimmunized stem cells (Molrine et al., 1996). As
such, it is extremely important that the donor re
ceive up-to-date vaccination prior to stem cell col
lection while the recipient receives a series of appro
priate vaccinations posttransplant. As with all other vaccines, the common adverse
events include local injection site reaction and fever. Additional adverse events may include drowsiness
and anorexia, which may be self-limiting. Rare but
severe adverse events may include Guillain-Barré
syndrome, neurologic disorders, uncontrollable sei
zures, prolonged convulsions, or acute encephalop
athy. These serious and acute neurologic symptoms
generally occur within the first 3 days after admin
istration of DTP as compared to Td. Common adverse events associated with the
Hib vaccine may include pain and swelling at the
site of the injection. Other adverse events may in
clude fever, drowsiness, anorexia, and vomiting. Hepatitis B Vaccine Hepatitis B virus (HBV)–related infection pri
marily arises through the transmission of bodily
fluids. While its incidence remains low, patients
undergoing chemotherapy with or without HSCT
may have the potential to contract HBV infection
through blood transfusions. But in today’s practice,
blood products routinely undergo a series of rigor Haemophilus influenzae Type B
Conjugate Vaccine l Diphtheria-Pertussis-Tetanus Vaccines Comparison Between PCV7 and
PPSV23
Type of
vaccine
Population
PCV7
• Indicated in children
< 2 years old
• Efficacy upwards of 85%
• More immunogenic
• Preferred in HSCT population and all
other oncology patients listed below
PPSV23
• Indicated in adults
• Efficacy 50%–70% (bacteremia
pneumonia only)
• Less effective than PCV7 at protecting
immunosuppressed patients
(particularly during treatment for
multiple myeloma, Hodgkin disease,
non-Hodgkin lymphoma, chronic
GVHD, post-TBI)
Note. GVHD = graft-vs.-host disease; HSCT =
hematopoietic stem cell transplantation; TBI = total-
body irradiation. Information from Black et al. (2000);
Fedson (1999); Fine et al. (1994); Mangtani et al. (2003). In order to lessen the discomfort of receiving
several vaccines at once, a series of combination vac
cines have been made available. Currently, there are
several combination products available as a single
injection containing tetanus and diphtheria vaccines
with or without pertussis vaccines: Td, Tdap, and
DTap. In general, the abbreviation DTP is used to re
fer to the triple combination products on the whole. The diphtheria toxoid component further defines Note. GVHD = graft-vs.-host disease; HSCT =
hematopoietic stem cell transplantation; TBI = total-
body irradiation. Information from Black et al. (2000);
Fedson (1999); Fine et al. (1994); Mangtani et al. (2003). 74 J Adv Pract Oncol AdvancedPractitioner.com VACCINATION RECOMMENDATIONS Haemophilus influenzae Type B
Conjugate Vaccine l Historically,
Haemophilus
influenzae
was
thought to be the primary cause of influenzae. In the 75 Vol 3 No 2 Mar/Apr 2012 AdvancedPractitioner.com REVIEW TSANG ous testing for the detection of potential infection
that could be transferred to the recipient. At the in
stance when the patient is most vulnerable—when
the immune system is suppressed— the likelihood
of contracting an acute HBV infection, as well as the
potential for reactivating chronic liver infections, is
increased. Table 4 reflects the different stages of in
fection based on the various hepatitis parameters. receiving a donor-immunized graft helps augment
the transfer of donor immunity in at least 50% of pa
tients (Ljungman et al., 2005). i Specific patients without antibodies to hepati
tis B or not at risk of reactivation prior to transplant
may delay their hepatitis B vaccination until 6 to 12
months posttransplant as this population is not at
immediate risk. In general, hepatitis B vaccine can
reduce the risk of reverse seroconversion in patients
with a history of hepatitis B infection. In patients
who have resolved hepatitis B, or HBc Ab positive
alone prior to transplant, prophylactic nucleoside
analog should be initiated with the start of condition
ing therapy at the latest. In addition, the response
to early posttransplant vaccination with hepatitis B
may be augmented if the donor is immunized prior
to stem cell collection (Ljungman et al., 2005; Hil
gendorf et al., 2011). Despite being seronegative re
cipients at baseline, the population at greatest risk is
those patients who will be receiving a HBs Ag (posi
tive) graft. In this population, hepatitis B vaccination
before transplant, as well as the initiation of prophy
lactic hepatitis B immune globulin and nucleoside
analog, is recommended (Hilgendorf et al., 2011). Hepatitis B virus vaccine is not required for
previously vaccinated patients undergoing che
motherapy alone, as immunogenicity is sustained
throughout treatment, unless hepatitis B antigen
is undetectable by titer (Arrowood & Hayney,
2002). In a study of patients who had not previ
ously been exposed to hepatitis B, or who had an
undetectable titer level, and received the HBV
vaccine prior to chemotherapy, 70% achieved
adequate antibody response during the initial
12-month observational period posttreatment. This immunogenicity to the HBV vaccine was as
sociated with increased survival rate (Weitberg
et al., 1985). Hepatitis A Vaccine produces inflammation along the spinal cord, caus
ing muscle weakness and paralysis. Developed in
the 1950s, inactivated poliovirus vaccine (IPV) was
the first polio vaccine intended to protect individu
als against polio. Through various manipulations, an
enhanced-potency IPV was licensed in 1987 as the
vaccine of choice against polio. Oral polio vaccine
(OPV) is a live-attenuated vaccine that has excellent
GI immunity compared to IPV (Pirofski, 1998). Ingestion of contaminated food or water is
the usual route for hepatitis A infection. Direct
contact with an infected individual could also
lead to acute infection. Although it is self-limiting
in most cases, rare but serious acute liver failure
can occur. The incidence of hepatitis A infection
is highest in underdeveloped countries and in
areas of (or individuals with) poor hygiene prac
tice. Vaccination plays a major role in preventing
hepatitis A infection; its protective effects can last
for more than 20 years. In healthy patients, two
doses of hepatitis A vaccine will induce protec
tion in up to 99% of recipients (CDC, 1999). In patients with hematologic and oncolog
ic malignancies, revaccination with IPV is not
necessary unless antibody titer is below detect
able levels, in which case revaccination is rec
ommended prior to chemotherapy (Arrowood
& Hayney, 2002). Due to the loss of immunity to
poliovirus, post-HSCT patients should receive a
series of three IPV injections beginning 6 months
posttransplant at monthly intervals plus a booster
dose at 18 months post-HSCT. Only the IPV for
mulation should be used in post-HSCT patients,
as opposed to the live formulation (OPV). Oral
polio vaccine should be avoided due to the risk
of vaccine-associated paralytic episodes occur
ring in immunocompromised patients (Pirofski &
Casadevall, 1998; CDC, 2012). Unless one is traveling to endemic areas or
requires postexposure prophylaxis, hepatitis
A vaccine is optional. In general, two doses of
monovalent hepatitis A vaccine given 6 months
apart may be recommended. In posttransplant
patients, hepatitis A vaccine recommendations
are the same as for the general population. Com
mon adverse events may include mild fever, head
ache, and pain at the injection site. Patients with
prior risk of anaphylactic reaction to this vaccine
should not receive any further doses. Adverse events associated with IPV are
generally mild. Oral polio vaccine is a live vac
cine that has been associated with rare but seri
ous vaccine-induced paralytic poliomyelitis in
healthy recipients. VACCINATION RECOMMENDATIONS REVIEW Hepatitis A Vaccine Hypersensitivity is a side ef
fect for both formulations as it contains traces of
bacitracin (OPV only), streptomycin, and neomy
cin (both OPV and IPV). The IPV formulation is
the polio vaccine of choice for most patients. Haemophilus influenzae Type B
Conjugate Vaccine l This demonstrated safe and effective
ability of hepatitis B vaccine in inducing immu
nity in patients undergoing chemotherapy who
have not previously been vaccinated. In post-
HSCT patients, there are different recommenda
tions based on hepatitis B history (Table 5). Even with vaccination before transplant, post
transplant vaccination will need to be instituted
to ensure long-lasting immunity (Ilan, 2000). For
this reason, posttransplant patients should re
ceive the three-dose series of hepatitis B vaccine
at 1-month intervals, followed by a booster at 18
months post-HSCT (Hilgendorf et al., 2011). Patients who were previously HBs Ag positive
or HBc Ab positive alone or HBs Ag positive and
HBc Ab positive have the potential to reactivate the
hepatitis B virus, particularly while immunosup
pressed or immediately posttransplant (Hilgendorf
et al., 2011). With the different combinations of an
tigen or antibody positivity, the recommendation
and timing for hepatitis B vaccination differs. It is
also important to note that early vaccination while Common adverse events related to hepatitis
B vaccine include fever and pain at the injection
site. Anaphylaxis and hypersensitivity are rare
but serious adverse events that have been associ
ated with the hepatitis B vaccine. Table 4. Hepatitis B Markers and Various Stages of Infection and Vaccination
Acute infection
Resolved infection
Chronic infection
History of
vaccination
HBs Ag
Recent infection
Detected
Not detected
Detected
Not detected
HBs Ab
Produced to fight
HBV
Not detected
Detected
Not detected
Detected
HBc Ab
History of infection
Detected
Detected
Detected
Not detected
Note. HBc Ab = hepatitis B core antibody; HBs Ab = hepatitis B surface antibody; HBs Ag = hepatitis B surface
antigen; HBV = hepatitis B virus. Information from Hepatitis B Foundation (2012). Table 4. Hepatitis B Markers and Various Stages of Infection and Vaccination Table 4. Hepatitis B Markers and Various Stages of Infection and Vaccination Note. HBc Ab = hepatitis B core antibody; HBs Ab = hepatitis B surface antibody; HBs Ag = hepatitis B surface
antigen; HBV = hepatitis B virus. Information from Hepatitis B Foundation (2012). 76 J Adv Pract Oncol AdvancedPractitioner.com VACCINATION RECOMMENDATIONS Polio Vaccine Poliomyelitis (polio) is an acute viral infection
that is spread by direct contact via the fecal-oral
route of entry. Infantile paralysis is another term
that has been used to refer to polio, as it caused det
rimental paralysis during the infant years in up to
20,000 cases before the introduction of the polio
vaccine. As the infection attacks the human body, it Table 5. Hepatitis B Vaccine Recommendations for Post-HSCT Patients
HBc Ab positive/negative
HBs Ag positive
• Vaccination early posttransplant may be considered (particularly if receiving a seronegative
donor immunized graft)
• Consider prophylactic nucleoside analog with conditioning therapy, at the latest,
to reduce risk of reverse seroconversion
HBc Ab positive
HBc Ab negative
HBs Ag negative
• Vaccination early posttransplant may be
considered (particularly if receiving a
seronegative donor immunized graft)
• Consider prophylactic nucleoside analog
• Vaccinate (6–12 mo post-HSCT)
Recipient seronegative, but receiving HBs Ag
positive graft:
• Vaccinate before HSCT
• Consider prophylactic hepatitis B
immunoglobulin and nucleoside analog
Note. HBc Ab = hepatitis B core antibody; HBs Ag = hepatitis B surface antigen; HSCT = hematopoietic stem cell
transplant. Adapted from Hilgendorf et al. (2011). Table 5. Hepatitis B Vaccine Recommendations for Post-HSCT Patients 77
AdvancedPractitioner.com
Vol 3 No 2 Mar/Apr 2012 7
Vol 3 No 2 Mar/Apr 2012 77
AdvancedPractitioner.com
Vol AdvancedPractitioner.com REVIEW TSANG Human Papillomavirus Vaccine Human papillomavirus (HPV) is a sexually
transmitted infection that has been associated with
the development of genital warts, cervical cancer,
and anal cancer. In 2009, a three-dose vaccine was
developed to protect against the four most common
strains of HPV leading to cervical cancer (types 6, 11,
16, and 18). Currently, the HPV vaccine is indicated
for the prevention of cervical cancer and genital
warts in women who are 9 to 26 years old who have
not been exposed to the virus. In males, it is approved
for the prevention of genital warts and anal cancer in
individuals 9 to 26 years old (CDC, 2012). In the on
cology population, it is optional, if age appropriate. There are currently two formulations of me
ningococcal vaccine available: meningococcal con
jugate quadrivalent vaccine (MCV4) and menin
gococcal polysaccharide vaccine (MPSV4). MCV4
is administered intramuscularly while MPSV4 is
given subcutaneously. Age is a major determinant
for immunogenicity. A child will have an overall an
tibody response that is only 10% of the adult vaccine
(Lepow, 1994). Therefore, MCV4 is recommended
for individuals aged 2 to 55 while MPSV4 is recom
mended for those over 55. Several studies have dem
onstrated that similar to the pneumococcal vaccine,
the conjugated meningococcal vaccine is more im
munogenic than the polysaccharide-based menin
gococcal vaccine (CDC, 2012). The most common adverse events may in
clude pain and swelling at the injection site,
headache, fever, nausea, and fainting. While 92%
of the reports were deemed noncritical, 8% of the
reports were critical in nature (including death,
life-threatening illness, and hospitalization). Guillain-Barré syndrome has also been reported
after administration of the HPV vaccine. Meningococcal vaccines are recommended
in many nononcologic conditions, such as for pa
tients with anatomic or functional asplenia and
for college freshmen living in dormitories. The
meningococcal vaccines also play an important
role for oncologic patients as well as for patients
receiving eculizumab (Soliris), per the package
insert recommendation (Alexion, 2011). Meningococcal Vaccine Common adverse events associated with the
meningococcal vaccine are generally mild, in
cluding fever and pain at the injection site. Other
rare but serious adverse events may include burn
ing, numbness, and breathing difficulty. Neisseria meningitides is a bacterial infection that
affects the brain and spinal cord. The consequences
of such an infection could lead to meningitis, an in
flammation of the meninges surrounding the central
nervous system, which can be life-threatening. Most
often, patients will present with a series of symp
toms that include but are not limited to headache,
neck stiffness, fever, altered mental status, and vom
iting. Due to the seriousness of the condition, the
use of vaccine as prophylaxis may play a role in pre
venting such a deleterious condition while ensuring
long-term protective effects. VACCINATION RECOMMENDATIONS REVIEW The MMR vaccine is given as two separate sub
cutaneous injections at least 1 month apart to pro
duce long-lasting immunity. In general, the MMR
vaccine is included in the childhood vaccination
schedule before the age of 2. Repeat vaccination is
not generally recommended in adults, unless there
is evidence of a lack of immunity as determined by
a low or absent titer. In patients undergoing chemo
therapy, live vaccines should be avoided, especially
in immunocompromised patients (Ljungman et al.,
1989; Kroger et al., 2011). In order to ensure pro
tection to individuals undergoing chemotherapy,
household members and close contacts should be
immunized with MMR. Although the evidence be
hind the use of live MMR vaccine in cancer patients
is not strong, the CDC’s Advisory Committee on
Immunization Practices suggests the use of MMR
vaccination for leukemic patients in remission no
sooner than 3 to 6 months after completion of all
chemotherapy treatment (CDC, 1998; Arrowood &
Hayney, 2002). The varicella vaccine, introduced in the 1990s,
is a live vaccine that provides protection against
chickenpox and herpes zoster. It is generally recom
mended for children under 13, with the first given
dose at 12 to 15 months and a repeat dose given at 4
to 6 years. For individuals who are older than 13 but
have never been introduced to chickenpox, the two
doses should be administered 4 to 8 weeks apart. In
patients undergoing chemotherapy, live varicella
vaccine is not recommended, especially in immu
nocompromised patients (CDC, 2012). In order to
ensure protection to individuals undergoing che
motherapy, household members and close contacts
should be immunized with varicella vaccine (Marin,
Güris, Chaves, Schmid, & Seward, 2007). Similar to the loss of MMR immunity, post-HSCT
patients will undergo a decrease in and eventually a
loss of immunity to varicella. Although vaccination
with live attenuated varicella vaccine is generally not
recommended immediately post-HSCT, it should be
reconsidered at least 2 years posttransplant. Patients
should be free from chronic GVHD and off immuno
suppression at the time of revaccination (Ljungman
et al., 1989; Kroger et al., 2011).f Unlike patients who receive chemotherapy
without stem cell transplant, post-HSCT patients
will experience in a decrease in and eventually a
loss of MMR immunity from most previous vac
cination within the first few months after trans
plant. Live Vaccines In general, live vaccines (MMR, varicella, and
intranasal influenza) should be avoided in patients
undergoing concurrent chemotherapy and post
transplant patients. The timing and method of pro
tection differs between these two populations. The common adverse reactions to MMR vac
cine may include fever, malaise, and rash up to 3
weeks postvaccination. Joint pain may be more
evident in elderly women. In rare instances, ana
phylaxis has been reported. Rare neurologic dis
orders have also been reported. Live vaccines should be withheld in patients
who are prior to or receiving concurrent chemo
therapy. Instead, it is recommended that household
members and close contacts be fully immunized to
lessen the likelihood of the infection. Patients who
are immunosuppressed, including posttransplant
patients, should wait at least 24 months posttrans
plant and until they are no longer receiving immu
nosuppression, free from graft-vs.-host disease, and
have immunologic response before receiving live
vaccines. As previously discussed, due to the dramat
ic decrease and eventually a complete loss of immu
nity from previous vaccinations, live vaccines may
be reconsidered when the above criteria are met in
order to reinitiate lifelong protection after transplant
(Ljungman et al., 2009; Hilgendorf et al., 2011). VACCINATION RECOMMENDATIONS Although vaccination with live attenuated
MMR vaccine is generally not recommended im
mediately post-HSCT, it should be reconsidered
at least 2 years posttransplant. Patients should
be free from chronic GVHD and off immunosup
pression at the time of revaccination (Ljungman
et al., 1989; Kroger et al., 2011). Common side effects may include soreness
and redness at the injection site, fever, and rash. Seizures, pneumonia, and anaphylaxis are rare
but serious side effects that have been reported. Measles-Mumps-Rubella Vaccinef Measles is a viral infection that affects the respi
ratory system. Mumps is a viral condition inducing
inflammation of the salivary gland and the testicles. Rubella, also known as German measles, is a viral
infection that presents as a rash on the face, trunk,
and limbs. In some cases, it can also cause joint pain,
swollen glands, and conjunctivitis. Together, all
three highly contagious conditions have led to wide
spread outbreaks causing hundreds of thousands of
deaths. In the 1960s, the introduction of a measles
vaccine diminished the number of reported cases
each year. In 2000, the United States declared the
elimination of measles. Rubella and mumps cases
also sharply declined following the introduction of
their respective vaccines. In general, when live vac
cines are given individually, they must be given on
three separate occasions. Since the introduction of
the combined measles, mumps, and rubella (MMR)
vaccine, individuals can receive the three vaccines as
a single injection, inducing quicker immunity while
minimizing pain (CDC, 2012). In pediatric patients, meningococcal vaccine
produced variable responses among acute leuke
mics and suggested the likelihood of response based
on proximity to chemotherapy (Yu et al., 2007). Pa
tients with hematologic or oncologic malignancies
(particularly Hodgkin disease) who are at high risk
of infection should receive the meningococcal vac
cine at least 1 week prior to starting therapy. Revac
cination is recommended 5 years after the comple
tion of therapy for Hodgkin disease, and then every
5 years after that (Ambrosino & Molrine, 1993). In
post-HSCT patients, vaccination with the conju
gated meningococcal vaccine starting 6 to 12 months
posttransplant may be considered if the likelihood of
contracting Neisseria meningitides is high. 78 J Adv Pract Oncol AdvancedPractitioner.com VACCINATION RECOMMENDATIONS Donor Vaccination the donor is immunized prior to stem cell collection
(Ljungman et al., 2005; Hilgendorf et al., 2011). Although there are no specific recommenda
tions, donor vaccination with Td, PCV7, and Hib
has been associated with an improvement in post
transplant immunity for the recipient of the stem
cell transplant (Ljungman et al., 2009). In addition,
early administration of the hepatitis B vaccine post
transplant may assist with the transfer of immunity
from the donor to the recipient of the transplant, if RECOMMENDED RECOMMENDED
Negative marker: Hep B 3-dose series
(begin 6 mo posttransplant) plus a
booster (18 mo posttransplant)
Resolved infection: with concurrent
nucleoside analog; consider early
posttransplant vaccination
Seronegative recipient receiving HBsAg
positive graft: vaccinate before
HSCT; with concurrent nucleoside
analog and HBIG; also should receive
posttransplant vaccination for long-
lasting immunity Seronegative recipient receiving HBsAg
positive graft: vaccinate before
HSCT; with concurrent nucleoside
analog and HBIG; also should receive
posttransplant vaccination for long-
lasting immunity Notes. cGVHD = chronic graft-vs.-host disease; HBIG = hepatitis B immunoglobulin; HSCT = hematopoietic stem cell transplant;
IM = intramuscular; IPV = inactivated polio vaccine; OPV = oral poliomyelitis vaccine; PCV7 = pneumococcal conjugate vaccine;
PPSV23 = pneumococcal polysaccharides 23-valent vaccines; SC = subcutaneous; TBI = total-body irradiation. aConcurrent chemotherapy. bPosttransplant and on immunosuppression. Notes. cGVHD = chronic graft-vs.-host disease; HBIG = hepatitis B immunoglobulin; HSCT = hematopoietic stem cell transplant;
IM = intramuscular; IPV = inactivated polio vaccine; OPV = oral poliomyelitis vaccine; PCV7 = pneumococcal conjugate vaccine;
PPSV23 = pneumococcal polysaccharides 23-valent vaccines; SC = subcutaneous; TBI = total-body irradiation.
aConcurrent chemotherapy Hematology/oncology patientsa Post-HSCT patientsb RECOMMENDED
Annually (given at least 2 wk prior to
chemotherapy) RECOMMENDED
Annually (begin no sooner than 6 mo
posttransplant); may require a second
dose for first-time recipient RECOMMENDED
PCV7 3-dose series 1 mo apart
(begin 6 mo posttransplant); give
booster dose of PPSV23 (18 mo post-
transplant) RECOMMENDED
DTap 3-dose series 1 mo apart (begin
6 mo posttransplant) plus a booster
(18 mo posttransplant) RECOMMENDED
DTap 3-dose series 1 mo apart (begin
6 mo posttransplant) plus a booster
(18 mo posttransplant) RECOMMENDED
Hib 3-dose series (begin 6 mo post-
transplant) plus a booster (18 mo
posttransplant) RECOMMENDED
Hib 3-dose series (begin 6 mo post-
transplant) plus a booster (18 mo
posttransplant) Varicella Vaccine Chickenpox is a highly contagious condition
induced by the varicella zoster virus (VZV). It pres
ents as an itchy skin rash, particularly on the body
and head. It is spread by direct exposure to the rash
secretions. There is generally a lag time of a few days
to weeks after the individual has been exposed be
fore the rash presents. Chickenpox appearing late in
life is a reactivation of the VZV, otherwise known as
shingles. In addition to proper hygiene, vaccination
plays a role in providing protection (CDC, 2012). 79 Vol 3 No 2 Mar/Apr 2012 AdvancedPractitioner.com REVIEW
TSANG REVIEW TSANG Table 6. Recommendations and Timing for Vaccinations for Hematology/Oncology and Post-HSCT Patients
Vaccine type
Hematology/oncology patientsa
Post-HSCT patientsb
Inactivated and conjugated vaccines
Influenza (IM)
• Inactivated form only
• Avoid live intranasal
vaccine
RECOMMENDED
Annually (given at least 2 wk prior to
chemotherapy)
RECOMMENDED
Annually (begin no sooner than 6 mo
posttransplant); may require a second
dose for first-time recipient
Pneumococcal (IM or SC)
• PCV7 is different from
PPSV23
RECOMMENDED
PPSV23 (general hem/onc population,
unless in the specific category
immediately below)
PCV7 (patients receiving treatment
for multiple myeloma, Hodgkin, and
non-Hodgkin, lymphomas, cGVHD
and post-TBI) given at least 2 wk prior
to chemotherapy; repeat once with
PPSV23 in 5 yr after initial dose
RECOMMENDED
PCV7 3-dose series 1 mo apart
(begin 6 mo posttransplant); give
booster dose of PPSV23 (18 mo post-
transplant)
Diphtheria-Tetanus-
Pertussis (IM)
• DTap: full dose of
diphtheria
• Tdap: reduced dose of
diphtheria
OPTIONAL
No additional dose needed if up to date
with vaccination
Td every 10 yr; replace a single dose of Td
with Tdap
RECOMMENDED
DTap 3-dose series 1 mo apart (begin
6 mo posttransplant) plus a booster
(18 mo posttransplant)
Haemophilus influenzae (IM)
OPTIONAL
None needed, unless posttreatment titers
are undetectable
(If low titer, given at least 2 wk prior to
chemotherapy)
RECOMMENDED
Hib 3-dose series (begin 6 mo post-
transplant) plus a booster (18 mo
posttransplant)
Hepatitis B (IM)
OPTIONAL
None needed, unless posttreatment titers
are undetectable
May be considered if at risk of HBs Ag
positive contacts
Hep B 3-dose series, not while on
immunosuppressive therapy
RECOMMENDED
Negative marker: Hep B 3-dose series
(begin 6 mo posttransplant) plus a
booster (18 mo posttransplant)
Resolved infection: with concurrent
nucleoside analog; consider early
posttransplant vaccination
Seronegative recipient receiving HBsAg
iti
ft
i
t
b f Notes. cGVHD = chronic graft-vs.-host disease; HBIG = hepatitis B immunoglobulin; HSCT = hematopoietic stem cell transplant;
IM = intramuscular; IPV = inactivated polio vaccine; OPV = oral poliomyelitis vaccine; PCV7 = pneumococcal conjugate vaccine;
PPSV23 = pneumococcal polysaccharides 23-valent vaccines; SC = subcutaneous; TBI = total-body irradiation.
aConcurrent chemotherapy.
bP
tt
l
t
d
i
i Conclusion In most instances, patients undergoing chemo
therapy should receive both influenza and pneu
mococcal vaccine at least 2 weeks before starting
chemotherapy with potential additional vaccines
based on the clinical picture (see Table 6). If possi 80 J Adv Pract Oncol AdvancedPractitioner.com VACCINATION RECOMMENDATIONS REVIEW Table 6. Recommendations and Timing for Vaccinations for Hematology/Oncology and Post-HSCT Patients
(Cont.)
Vaccine type
Hematology/oncology patienta
Post-HSCT patientb
Inactivated and conjugated vaccines
Polio vaccine (IM or SC)
• Only give IPV in post-
HSCT patients. • IPV and OPV are not
interchangeable
OPTIONAL
Not routinely needed unless post-
treatment titers are undetectable
RECOMMENDED
IPV 3-dose series (begin 6 mo post-
transplant) plus a booster (18 mo
posttransplant)
Hepatitis A (IM)
OPTIONAL
Only recommended if traveling to
endemic areas or as postexposure
prophylaxis
OPTIONAL
Only recommended if traveling to
endemic areas or as postexposure
prophylaxis
Meningococcal vaccine
(IM for MCV4,
SC for MPSV4)
• MCV4: for age 2–55 yr
• MPSV4: 56 yr and older
RECOMMENDED
Hodgkin disease: or who are at high
risk of infection: MCV4 (1 wk prior to
starting therapy); repeat 5 yr after
completion of therapy
OPTIONAL
Based on clinical consideratons
MCV4 1–3 monthly doses
Human papillovirus (HPV)
quadrivalent vaccine (IM)
• Age specific (9–26 yr
old) for the prevention
OPTIONAL
If age appropriate
HPV 3-dose series
OPTIONAL
If age appropriate
HPV 3-dose series Table 6. Recommendations and Timing for Vaccinations for Hematology/Oncology and Post-HSCT Patients
(Cont.)
Vaccine type
Hematology/oncology patienta
Post-HSCT patientb Inactivated and conjugated vaccines RECOMMENDED
IPV 3-dose series (begin 6 mo post-
transplant) plus a booster (18 mo
posttransplant) OPTIONAL
Not routinely needed unless post-
treatment titers are undetectable OPTIONAL
If age appropriate
HPV 3-dose series Live vaccines
MMR (SC)
• Live vaccine should
be avoided in
immunocompromised
patients
OPTIONAL
None needed if childhood vaccination up
to date
If previously vaccinated, draw post-
treatment titer
If low titer, administer at least 3 mo
after completion of chemotherapy
(particular in leukemic in remission)
Varicella (SC)
• Live vaccine should
be avoided in
immunocompromised
patients
OPTIONAL
If not previously exposed or vaccinated
(should be considered before starting
chemotherapy; withhold during
concurrent chemotherapy)
Varicella 2-dose series (at least 4–8 wk
apart)
Notes. cGVHD = chronic graft-vs.-host disease; HBIG = hepatitis B immunoglobuli
IM = intramuscular; IPV = inactivated polio vaccine; OPV = oral poliomyelitis vacci Live vaccines
MMR (SC)
• Live vaccine should
be avoided in
immunocompromised
patients
OPTIONAL
None needed if childhood vaccination up
to date
If previously vaccinated, draw post-
treatment titer
If low titer, administer at least 3 mo
after completion of chemotherapy
(particular in leukemic in remission)
CONTRAINDICATED
immediately post-HSCT
May be considered at 24 mo
posttransplant (no longer on
immunosuppression and attains full
immune system)
Varicella (SC)
• Live vaccine should
be avoided in
immunocompromised
patients
OPTIONAL
If not previously exposed or vaccinated
(should be considered before starting
chemotherapy; withhold during
concurrent chemotherapy)
Varicella 2-dose series (at least 4–8 wk
apart)
CONTRAINDICATED
immediately post-HSCT
May be considered at 24 mo
posttransplant (no longer on
immunosuppression and attains full
immune system) OPTIONAL
None needed if childhood vaccination up
to date
If previously vaccinated, draw post-
treatment titer
If low titer, administer at least 3 mo
after completion of chemotherapy
(particular in leukemic in remission)
OPTIONAL
If not previously exposed or vaccinated
(should be considered before starting
chemotherapy; withhold during
concurrent chemotherapy)
Varicella 2-dose series (at least 4–8 wk
apart) CONTRAINDICATED
immediately post-HSCT
May be considered at 24 mo
posttransplant (no longer on
immunosuppression and attains full
immune system) CONTRAINDICATED
immediately post-HSCT
May be considered at 24 mo
posttransplant (no longer on
immunosuppression and attains full
immune system) CONTRAINDICATED
immediately post-HSCT
May be considered at 24 mo
posttransplant (no longer on
immunosuppression and attains full
immune system) REFERENCES g/
/j
Engelhard, D., Cordonnier, C., Shaw, P. J., Parkalli, T., Guenther,
C., Martino, R.,…Ljungman, P. (2002). Infectious Disease
Working Party of the European Bone Marrow Transplanta
tion (IDWP-EMBT). Early and late invasive pneumococcal
infection following stem cell transplantation: A European
Bone Marrow Transplantation survey. British Journal of
Haematology, 117, 444–450. http://dx.doi.org/10.1046/
j.1365-2141.2002.03457.xf Alexion Pharmaceuticals. (2011). Eculizumab package insert. Retrieved from http://www.soliris.net/indications/soliris_
pi.pdf Ambrosino, D. M., & Molrine, D. C. (1993). Critical appraisal of
immunization strategies for prevention of infection in the
compromised host. Hematology Oncology Clinics of North
America, 7, 1027–1050. Fedson, D. S. (1999). The clinical effectiveness of pneumococcal
vaccination: A brief review. Vaccine, 17 (suppl 1), S85–S90. http://dx.doi.org/10.1016/S0264-410X(99)00113-9f Anderson, H., Petrie, K., Berrisford, C., Charlett, A., Thatcher, N.,
& Zambon, M. (1999). Seroconversion after influenza vacci
nation in patients with lung cancer. British Journal of Can
cer, 80, 219–220. http://dx.doi.org/10.1038/sj.bjc.6690342 Fine, M. J., Smith, M. A., Carson, C. A., Meffe, F., Sankey, S.,
Weissfeld, L.,…Kapoor, W. (1994). Efficacy of pneumococcal
vaccination in adults. A meta-analysis of randomized con
trolled trials. Archives of Internal Medicine, 154, 2666–2677. http://dx.doi.org/10.1001/archinte.1994.00420230051007 Arrowood, J. R., & Hayney, M. S. (2002). Immunization recom
mendations for adults with cancer. Annals of Pharmaco
therapy, 36, 1219–1229. http://dx.doi.org/10.1345/aph.1A277 Bettiol, S., Thompson, M. J., Roberts, N. W., Perera, R.,
Heneghan, C. J., & Harnden, A. (2010). Systematic treat
ment of the cough in whopping cough. Cochrane Database
of Systematic Reviews, Jan 20(1), CD003257. http://dx.doi. org/10.1002/14651858.CD003257.pub3i Ganz, P. A., Shanley, J. D., & Cherry, J. D. (1978). Respons
es of patients with neoplastic diseases to influenza
virus vaccine. Cancer, 42, 2233–2247. http://dx.doi. org/10.1002/1097-0142(197811)42:5<2244::AID-
CNCR2820420523>3.0.CO;2-7 Black, S., Shinefield, H., Fireman, B., Lewis, E., Ray, P., Hansen,
J. R.,…Edwards, K. (2000). Efficacy, safety and immu
nogenicity of heptavalent pneumococcal conjugate vac
cine in children. Northern California Kaiser Permanente
Vaccine Study Center Group. Pediatric Infectious Disease
Journal, 19, 187–195. http://dx.doi.org/10.1097/00006454-
200003000-00003 Hepatitis B Foundation. (2012). Retrieved from http://www. hepb.org Hilgendorf, I., Freund, M., Jilig, W., Einsele, H., Gea-Banacloche,
J., Greinix, H.,…Meisel, R. (2011). Vaccination of alloge
neic haematopoietic stem cell transplant recipients: Re
port from the Internal Consensus Conference on Clinical
Practice in chronic GVHD. Vaccine, 29, 2825–2833. http://
dx.doi.org/10.1016/j.vaccine.2011.02.018 Centers for Disease Control and Prevention. (1998). Measles,
mumps and rubella—Vaccine use and strategies for elimi
nation of measles, rubella, and congenital rubella syndrome
and control of mumps: Recommendation of the Advisory
Committee on Immunization Practice (ACIP). OPTIONAL Varicella (SC)
• Live vaccine should
be avoided in
immunocompromised
patients CONTRAINDICATED
immediately post-HSCT
May be considered at 24 mo
posttransplant (no longer on
immunosuppression and attains full
immune system) CONTRAINDICATED
immediately post-HSCT
May be considered at 24 mo
posttransplant (no longer on
immunosuppression and attains full
immune system) nated with certain vaccines, while some are optional
and others should be avoided (see Table 6). ble, inactivated vaccines should be administered at a
minimum of 2 weeks prior to starting therapy. If the
previous scenario is not possible, then one should
consider receiving vaccination in between cycles. Vaccinating too close to chemotherapy could lead to
the loss of durable immunity (Hilgendorf et al., 2011;
Ljungman et al., 2009). In most cases, many post-
HSCT patients are viewed as “never vaccinated.”
These individuals are recommended to be revacci For the general population, childhood vaccina
tion has led to the elimination of many preventable
diseases. Likewise, the same approach in the hema
tology and oncology population has been beneficial. In the immunosuppressed population, appropriate
timing and avoidance of live vaccines will not only
provide protection against these diseases but also 81 Vol 3 No 2 Mar/Apr 2012 AdvancedPractitioner.com REVIEW TSANG lic Health Foundation. confer longer-lasting immunity. Advanced practi
tioners can benefit from recognizing the importance
and implications of each vaccine for the hematology,
oncology, and posttransplant populations. Cordonnier, C., Labopin, M., Chesnel, V., Ribaud, P., Da La Ca
mara, R., & Martino, R. (2008). Influence of immunisation
timing on the response to conjugate-pneumococcal vac
cine after allogeneic stem cell transplant: Final results of
the EBMT IDWP01 Trial. Bone Marrow Transplantation,
45(suppl 1), S2. DISCLOSURE Egea, E., Iglesias, A., Salazar, M., Morimoto, C., Kruskall, M. S.,
Awdeh, Z.,…Yunis, E. J. (1991). The cellular basis for lack of
antibody response to hepatitis B vaccine in humans. Jour
nal of Experimental Medicine, 173, 531–538. http://dx.doi. org/10.1084/jem.173.3.531 The author has no conflicts of interest to
disclose. VACCINATION RECOMMENDATIONS VACCINATION RECOMMENDATIONS REVIEW for active immunization of the immunocompromised host. Clinical Microbiology, 11, 1–26. for active immunization of the immunocompromised host. Clinical Microbiology, 11, 1–26. es, 45, 1576–1582. http://dx.doi.org/10.1086/523583 Lepow, M. L. (1994). Meningococcal vaccines. In S. A. Plotkin &
E. A. Moritmer, Jr., (Eds.), Vaccines (2nd ed., pp. 503–515). Philadelphia, PA: W. B. Saunders. Pollyea, D. A., Brown, J. M. Y., & Horning, S. J. (2010). Utility of
influenza vaccination for oncology patients. Journal of Clin
ical Oncology, 28(14), 2481–2490. http://dx.doi.org/10.1200/
JCO.2009.26.6908 Ljungman, P., Fridell, E., Lonqvist, B., Bolme, P., Bottiger, M.,
Gahrton, G.,…Wahren, B. (1989). Efficacy and safety of vac
cination of marrow transplant recipients with a live at
tenuated measles, mumps, and rubella vaccine. Journal of
Infectious Diseases, 159, 610–615. http://dx.doi.org/10/1093/
infdis/159.4.610 Rapezzi, D., Sticchi, L., Racchi, O., Mangerini, R., Ferraris, A. M., & Gaetani, G. F. (2003). Influenza vaccine in chronic
lymphoproliferative disorders and multiple myeloma. Eu
ropean Journal of Haematology, 70, 225–230. http://dx.doi. org/10.1034/j.1600-0609.2003.00028.x Ljungman, P., Cordonnier, C., Einsele, H., Englund, J., Mach
ado, C. M., Storek, J., & Small, T. (2009). Vaccination of
hematopoietic cell transplant recipients. Bone Marrow
Transplantation, 44, 521–526. http://dx.doi.org/10.1038/
bmt.2009.263 Ring, A., Marx, G., Steer, C., Prendiville, J., & Ellis, P. (2003). Poor
uptake of influenza vaccinations in patients receiving cyto
toxic chemotherapy. International Journal of Clinical Prac
tice, 57, 542–543. Ljungman, P., Engelhard, D., de la Camara, R., Einsele, H., Lo
casciulli, A., Martino,…Cordonnier, C. (2005). Vaccina
tion of stem cell transplant recipients: Recommendations
of the Infectious Diseases Working Party of the EBMT. Bone Marrow Transplantation, 35, 737–746. http://dx.doi. org/10.1038/sj.bmt.1704870 Robertson, J. D., Nagesh, K., Jowitt, S. N., Anderson, H., Mutton,
K., Zambon, M., & Scarffe, J. H. (2000). Immunogenicity of
vaccination against influenza, Steptococcus pneumonia and
Haemophilus influenzae type B in patients with multiple
myeloma. British Journal of Cancer, 82, 1261–1265. http://
dx.doi.org/10.1054/bjoc.1999.1088 Lo, W., Whimbey, E., Elting, L., Couch, R., Cabanillas, F., &
Bodey, G. (1993). Antibody response to a two-dose influ
enza vaccine regimen in adult lymphoma patients on che
motherapy. European Journal of Clinical Microbiology &
Infectious Diseases, 12, 778–782. http://dx.doi.org/10.1007/
BF02098469 Schafer, A. I., Churchill, W. H., Ames, P., & Weinstein, L. (1979). The influence of chemotherapy on response of patients
with hematologic malignancies to influenza vaccine. Can
cer, 43, 25–30. http://dx.doi.org/10.1002/1097-0142l Shoji, H., & Kaji, M. (2003). The influenza vaccination and neu
rological complications. Internal Medicine, 42, 139. VACCINATION RECOMMENDATIONS http://
dx.doi.org/10.2169/internalmedicine.42.139 Loulergue, P., Mir, O., Alexandre, J., Ropert, S., Goldwasser, F.,
& Launay, O. (2008) Low influenza vaccination rate among
patients receiving chemotherapy for cancer. Annals of On
cology, 19, 1658. http://dx.doi.org/10.1093/annoc/mdn531fi Singhal. S., & Mehta, J. (1999). Reimmunization after blood
or marrow stem cell transplantation. Bone Marrow
Transplantation, 23, 637–646. http://dx.doi.org/10.1038/
sj.bmt.1701640 gy
p //
g/
/
/
Mangtani, P., Cutts, F., & Hall, A. J. (2003). Efficacy of poly
saccharide pneumococcal vaccine in adults in more de
veloped countries: The state of the evidence. Lancet
Infectious Diseases, 3, 71–78. http://dx.doi.org/10.1016/
S1473-3099(03)00514-0 Sommer, A., Wachel, B. K., & Smith, J. A. (2006). Evalua
tion of vaccine dosing in patients with solid tumors re
ceiving myelosuppressive chemotherapy. Journal of
Oncology Pharmacy Practice, 12, 143–154. http://dx.doi. org/10.1177/1078155206070868 Marin, M., Güris, D., Chaves, S. S., Schmid, S., & Seward, J. F. (2007). Prevention of varicella: recommendations of the
Advisory Committee on Immunization Practice (ACIP). Morbidity and Mortality Weekly Report, 56(RR-4), 1–40. Stiver, H. G., & Weinerman, B. H. (1978). Impaired serum anti
body response to inactivated influenza A and B vaccine in
cancer patients. Canadian Medical Association Journal, 119,
733–738. Meisel, R., Kuypers, L., Dirksen, U., Schubert, R., Gruhn, B., &
Strauss, G. (2007). Pneumococcal conjugate vaccine pro
vides early protective antibody responses in children af
ter related and unrelated allogeneic hematopoietic stem
cell transplantation. Blood, 109, 2322–2326. http://dx.doi. org/10.1182/blood-2006-06-032284l Thompson, W. W., Shay, D. K., Weintraub, E., Brammer, L.,
Bridges, C. B., Cox, N. J., & Fukuda, K. (2004). Influenza-
associated hospitalizations in the United States. Journal of
the American Medical Association, 292, 1333–1340. http://
dx.doi.org/10.1001/jama.292.11.1333 g/
/
Melcher, L. (2005). Recommendations for influenza and pneu
mococcal vaccinations in people receiving chemotherapy. Clinical Oncology, 17, 12–15. http://dx.doi.org/10.1016/j. clon.2004.07.010 Thompson, W. W., Shay, D. K., Weintraub, E., Brammer, L., Cox,
N., Anderson, L. J., & Fukuda, K. (2003). Mortality associ
ated with influenza and respiratory syncytial virus in the
United States. Journal of the American Medical Association,
289, 170–186. http://dx.doi.org/10.1001/jama.289.2.179 Molrine D. C., Guinan, E. C., Antin, J. H., Parsons, S. K., Wein
stein, H. J., Wheeler, C.,…Ambrosino, D. M. (1996). Donor
immunization with Haemophilus influenzae type b (HIB)-
conjugate vaccine in allogeneic bone marrow transplanta
tion. Blood, 87, 3012–3018.f Weitberg, A. B., Weitzman, S. A., Watkins, E., Hinkle, C.,
O’Rourke, S., & Dienstag, J. L. (1985). Immunogenicity of
hepatitis B vaccine in oncology patients receiving chemo
therapy. REFERENCES Morbidity
and Mortality Weekly Report, 47(RR-8), 1–57. Hodges, G. R., Davis, J. W., Lewis, H. D., Whitter, F. C., Siegel,
C., Chin, T. D. Y.,…Noble, G. R. (1979). Response to influ
enza A vaccine among high-risk patients. Southern Medi
cal Journal, 72, 29–32. http://dx.doi.org/10.1097/00007611-
197901000-00010 Centers for Disease Control and Prevention. (1999). Prevention
of hepatitis A through active or passive immunization: Rec
ommendations of the Advisory Committee on Immuniza
tion Practices (ACIP). Morbidity and Mortality Weekly Re
port, 48(RR-12), 1–38. Ilan, Y., Nagler, A., Ziera, E., Adler, R., Slavin, S., & Shouval, D. (2000). Maintenance of immune memory to the hepatitis
B envelope protein following adoptive transfer of immu
nity in bone marrow transplant recipients. Bone Marrow
Transplantation, 26, 633–638. http://dx.doi.org/10.1038/
sj.bmt.1702571 p
Centers for Disease Control and Prevention. (2008). Haemophilus influenzae serotype b (Hib) disease. Retrieved
from
http://www.cdc.gov/ncidod/dbmd/diseaseinfo/
haeminfluserob_t.htm Kroger, A. T., Sumaya, C. V., Pickering, L. K., & Atkins, W. L. (2011). General recommendations on immunization: Rec
ommendations of the Advisory Committee on Immuniza
tion Practices (ACIP). Morbidity and Mortality Weekly Re
port, 60(RR-2). 1–60. Centers for Disease Control and Prevention. (2011). FluView. A
weekly influenza surveillance report prepared by the influ
enza division. Week ending December 10, 2011–Week 49. Retrieved from http://www.cdc.gov/flu/weekly/weekly
fluactivitymap.htm Kulkarni, S., Powles, R., Treleaven, J., Riley, U., Singhal, S., Hor
ton,…Mehta, J. (2000). Chronic graft versus host disease
is associated with long-term risk for pneumococcal infec
tions in recipients of bone marrow transplant. Blood, 95,
3683–3686. l
Centers for Disease Control and Prevention. (2012) Recom
mended adult immunization schedule—United States. Morbidity and Mortality Weekly Report, 60(4). Kumar, D., Chen, M. H., Welsh, B., Siegal, D., Cobos, I., Messner,
H. A.,…Humar, A. (2007). A randomized, double-blind trial
of pneumococcal vaccination in adult allogeneic stem cell
transplant donors and recipients. Clinical Infectious Diseas Beckenhaupt, P., Bryant, P., Kroger, A., Wolicki, J., Wortley, P., &
Weaver, D. (2011). Centers for Disease Control and Preven
tion. Epidemiology and prevention of vaccine-preventable
diseases “The Pink Book” (12th ed.). Washington, DC: Pub 82 J Adv Pract Oncol AdvancedPractitioner.com VACCINATION RECOMMENDATIONS Journal of Clinical Oncology, 3, 718–722. Molrine, D. C., Antin, J. H., Guinan, E. C., Soiffer, R. J., Mac
Donald, K., & Malley, R. (2003). Donor immunization
with pneumococcal conjugate vaccine and early protec
tive antibody responses following allogeneic hematopoi
etic cell transplantation. Blood, 101, 831–836. http://dx.doi. org/10.1182/blood-2002-03-0832 Wood, R. C., MacDonald, K. L., White, K. E., Hedberg, C. W.,
Hanson, M., & Osterholm, M. T. (1993). Risk factors for lack
of detectable antibody following hepatitis B vaccination of
Minnesota Health Care Workers. Journal of the Ameri
can Medical Association, 270, 2935–2939. http://dx.doi. org/10.1001/jama.1993.03510240047030 g/
/
National Foundation for Infectious Diseases. (2011). Pneumo
coccal disease. Retrieved from http://www.adultvaccina
tion.com/healthcare/pneumococcal_vaccine_vaccination_
adult_immunization.htm Yu, J. W., Borkowski, A., Danzig, L., Reiter, S., Kavan, P., & Mazer,
B. D. (2007). Immune response to conjugated meningococ
cal C vaccine in pediatric oncology patients. Pediatric Blood
& Cancer, 49, 918–923. http://dx.doi.org/10.1002/pbc.21174 Pirofski, L. A., & Casadevall, A. (1998). Use of licensed vaccines 83 AdvancedPractitioner.com 3 No 2 Mar/Apr 2012
|
https://openalex.org/W2148126506
|
https://dipot.ulb.ac.be/dspace/bitstream/2013/218207/3/doi_201834.pdf
|
English
| null |
Breakthrough in cardiac arrest: reports from the 4th Paris International Conference
|
Annals of intensive care
| 2,015
|
cc-by
| 22,501
|
© 2015 Kudenchuk et al. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License
(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,
provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
and indicate if changes were made. Epidemiology of CA Epidemiology of CA
Out‑of‑hospital cardiac arrest in 2014: incidence, outcome
and disparities Abstract Jean-Luc Diehl The French Intensive Care Society organized on 5th and 6th June 2014 its 4th “Paris International Con‑
ference in Intensive Care”, whose principle is to bring together the best international experts on a hot topic in critical
care medicine. The 2014 theme was “Breakthrough in cardiac arrest”, with many high-quality updates on epidemiol‑
ogy, public health data, pre-hospital and in-ICU cares. The present review includes short summaries of the major
presentations, classified into six main chapters: • •
Epidemiology of CA
• •
Pre-hospital management
• •
Post-resuscitation management: targeted temperature management
• •
Post-resuscitation management: optimizing organ perfusion and metabolic parameters
• •
Neurological assessment of brain damages
• •
Public healthcare • •
Epidemiology of CA
• •
Pre-hospital management
• •
Post-resuscitation management: targeted temperature management
• •
Post-resuscitation management: optimizing organ perfusion and metabolic parameters
• •
Neurological assessment of brain damages
• •
Public healthcare Keywords: Cardiac arrest, Cardio-pulmonary resuscitation, Targeted temperature management, Therapeutic
hypothermia, Persistent vegetative state, Minimally conscious state, Organ donation Keywords: Cardiac arrest, Cardio-pulmonary resuscitation, Targeted temperature management, Therapeutic
hypothermia, Persistent vegetative state, Minimally conscious state, Organ donation said to be the only uniform aspect of cardiac arrest, which
is otherwise riddled with disparities. The first of these
disparities lies in how few patients who are successfully
resuscitated from cardiac arrest ultimately survive to hos-
pital discharge. In Seattle, approximately 60 % of patients
in whom cardiac arrest presents as ventricular fibrillation
(VF) are successfully resuscitated and admitted to hospital;
yet only about half of these (30 %) typically survive to hos-
pital discharge. When cardiac arrest presents as asystole or
pulseless electrical activity (PEA), outcomes are strikingly
worse: only 20–30 % of such patients are successfully
resuscitated, and an even smaller proportion of these, as
few as 2 in 10—ranging from 2 to 5 % of patients, survive
to hospital discharge [1]. Breakthrough in cardiac arrest: reports
from the 4th Paris International Conference Peter J. Kudenchuk1, Claudio Sandroni2, Hendrik R. Drinhaus3, Bernd W. Böttiger3, Alain Cariou4,5, Kjetil Sunde6,
Martin Dworschak7, Fabio Silvio Taccone8, Nicolas Deye9, Hans Friberg10, Steven Laureys11, Didier Ledoux12,
Mauro Oddo13, Stéphane Legriel14, Philippe Hantson15, Jean‑Luc Diehl16* and Pierre‑Francois Laterre17 Kudenchuk et al. Ann. Intensive Care (2015) 5:22
DOI 10.1186/s13613-015-0064-x
REVIEW
Breakthrough in cardiac arrest: reports
from the 4th Paris International Conference
Peter J. Kudenchuk1, Claudio Sandroni2, Hendrik R. Drinhaus3, Bernd W. Böttiger3, Alain Cariou4,5, Kjetil Sunde6,
Martin Dworschak7, Fabio Silvio Taccone8, Nicolas Deye9, Hans Friberg10, Steven Laureys11, Didier Ledoux12,
Mauro Oddo13, Stéphane Legriel14, Philippe Hantson15, Jean‑Luc Diehl16* and Pierre‑Francois Laterre17
Abstract
Jean-Luc Diehl The French Intensive Care Society organized on 5th and 6th June 2014 its 4th “Paris International Con‑
ference in Intensive Care”, whose principle is to bring together the best international experts on a hot topic in critical
care medicine. The 2014 theme was “Breakthrough in cardiac arrest”, with many high-quality updates on epidemiol‑
ogy, public health data, pre-hospital and in-ICU cares. The present review includes short summaries of the major
presentations, classified into six main chapters:
• •
Epidemiology of CA
• •
Pre-hospital management
• •
Post-resuscitation management: targeted temperature management
• •
Post-resuscitation management: optimizing organ perfusion and metabolic parameters
• •
Neurological assessment of brain damages
• •
Public healthcare
Keywords: Cardiac arrest, Cardio-pulmonary resuscitation, Targeted temperature management, Therapeutic
hypothermia, Persistent vegetative state, Minimally conscious state, Organ donation
Open Access Kudenchuk et al. Ann. Intensive Care (2015) 5:22
DOI 10.1186/s13613-015-0064-x
REVIEW
Breakthrough in cardiac arrest: reports
from the 4th Paris International Conference
Peter J. Kudenchuk1, Claudio Sandroni2, Hendrik R. Drinhaus3, Bernd W. Böttiger3, Alain Cariou4,5, Kjetil Sunde6,
Martin Dworschak7, Fabio Silvio Taccone8, Nicolas Deye9, Hans Friberg10, Steven Laureys11, Didier Ledoux12,
Mauro Oddo13, Stéphane Legriel14, Philippe Hantson15, Jean‑Luc Diehl16* and Pierre‑Francois Laterre17
Abstract
Jean-Luc Diehl The French Intensive Care Society organized on 5th and 6th June 2014 its 4th “Paris International Con‑
ference in Intensive Care”, whose principle is to bring together the best international experts on a hot topic in critical
care medicine. The 2014 theme was “Breakthrough in cardiac arrest”, with many high-quality updates on epidemiol‑
ogy, public health data, pre-hospital and in-ICU cares. The present review includes short summaries of the major
presentations, classified into six main chapters:
• •
Epidemiology of CA
• •
Pre-hospital management
• •
Post-resuscitation management: targeted temperature management
• •
Post-resuscitation management: optimizing organ perfusion and metabolic parameters
• •
Neurological assessment of brain damages
• •
Public healthcare
Keywords: Cardiac arrest, Cardio-pulmonary resuscitation, Targeted temperature management, Therapeutic
hypothermia, Persistent vegetative state, Minimally conscious state, Organ donation
Open Access Kudenchuk et al. Ann. Intensive Care (2015) 5:22
DOI 10.1186/s13613-015-0064-x Open Access *Correspondence: jldiehl@invivo.edu
16 Medical Intensive Care Unit, AP‑HP, European Georges Pompidou
Hospital, Paris Descartes University and Sorbonne Paris Cité-Medical
School, Paris, France
Full list of author information is available at the end of the article p
gy
Out‑of‑hospital cardiac arrest in 2014: incidence, outcome
and disparities Peter Kudenchuk Out-hospital-cardiac arrest (OHCA)
remains a common public health problem. Each year, car-
diac arrest claims more than 424,000 lives in the United
States, 300,000 lives in Europe, and upwards of 3.7 million
lives worldwide. Resuscitation is typically conducted in
accordance with a uniform algorithmic approach embod-
ied in the “chain of survival” which emphasizes the impor-
tance of early activation of emergency medical services,
prompt CPR, rapid defibrillation, advanced cardiac life
support and post-cardiac arrest care. This, in fact might be A second disparity lies in the changing incidence of
rhythms that precipitate cardiac arrest. In Seattle dur-
ing the decade of the 1970s, VF accounted for approxi-
mately 60 % of all out-of-hospital cardiac arrests treated
by emergency medical services (EMS), whereas the *Correspondence: jldiehl@invivo.edu
16 Medical Intensive Care Unit, AP‑HP, European Georges Pompidou
Hospital, Paris Descartes University and Sorbonne Paris Cité-Medical
School, Paris, France
Full list of author information is available at the end of the article Page 2 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 in survival outcome from cardiac arrest include patient
characteristics—such as age, gender, and co-morbidities;
and by the circumstances of the arrest—such as whether
witnessed by bystanders, the location of its occurrence,
and by the presenting arrest rhythm. Most would regard
these as “factors of fate” and as such not alterable. Con-
versely, the components of prehospital emergency medi-
cal care, including rapid dispatch, dispatcher-assisted
CPR, EMS training and time-to-treatment, are all poten-
tially correctable factors. Targeting these aspects of pre-
hospital care affords an opportunity to change outcome
for the better after cardiac arrest. Among these, perhaps
the one that can be most readily and immediately imple-
mented is high-performance CPR. remainder of acute rhythm presentations were equally
divided between asystole and PEA. In the ensuing years,
the proportion of cardiac arrests caused by VF has
declined to 25–30 % of cases, such that now asystole and
PEA represent the most common presenting rhythms. Extrapolating these incidence data from Seattle to the
United States census, the annual rate of cardiac arrest due
to ventricular fibrillation declined from about 85 persons
per 100,000 in 1980 to 38/100,000 in 2000 [1]. Data from
the Resuscitation Outcomes Consortium estimated a fur-
ther decline in the incidence of VF cardiac arrest to 17.4
adults/100,000 in 2011 [2]. These statistics, coupled with
the known worse survival prognosis of patients in whom
cardiac presents as a non-shockable rhythm, pose a new
and major challenge for the present and future treatment
of this emerging “new wave” of cardiac arrest victims. g
p
High-performance CPR consists of training with
meticulous attention to the details of performing CPR to
the best known prescribed parameters of chest compres-
sion rate, depth, full chest recoil, and minimized inter-
ruptions, and applying strict compliance standards (e.g. a compression fraction of no less than 85 %) for their
performance during resuscitation. In addition to striv-
ing for “letter perfect” CPR performance, it also involves
a system of accountability, whereby feed-back of CPR
performance derived from a review of recordings of field
resuscitations is consistently conveyed back to providers
for further possible improvement. Deploying such a high-
performance CPR protocol in King County, Washington,
starting in 2005 resulted in a significant improvement in
survival from both cardiac arrest due to ventricular fibril-
lation (Fig. Effectiveness of rapid response systems for prevention
of cardiac arrest Claudio Sandroni Despite the immediate availability of
qualified life support, the outcome of in-hospital cardiac
arrest (IHCA) remains poor. Survival to discharge after
IHCA rarely exceeds 20 % [9] and it has remained stable
in the last 25 years (Fig. 3). Rapid response systems (RRS)
have been established to prevent IHCA in non-critical
care areas of the hospital [10]. Those systems are based
on timely detection of deteriorating patients by the ward
personnel (the afferent limb of the system), who will there-
fore summon a medical emergency team (MET; the effer-
ent limb of the system), whose roles are to stabilize the
patient in the ward or escalate the level of care. Although
the theory underlying RRS is compelling, there is no defi-
nite evidence that their implementation improves patient
outcome. The major problem in evaluating the effective-
ness of RRS is the choice of the outcome measure. The third, and most comprehensive endpoint for RRS
effectiveness is hospital mortality. Unfortunately, meta-
analyses of available evidence on this endpoint showed
conflicting results, with some studies showing benefit
and others showing no or only non-significant reduc-
tion of hospital mortality after RRS implementation [13]. Moreover, the quality of evidence is relatively low, with
almost all studies having a before-and-after design, which
make them prone to bias due to secular trends unrelated
to the study intervention or to changes in hospital case
mix, a variable which is difficult to adjust for.hf The first endpoint for a study addressing the effective-
ness of RRS could be the rates of unexpected cardiac
arrests occurring outside intensive care units (ICUs),
that is, the rates of cardiac arrest occurring in ward
patients for whom there is no do-not-attempt-resusci-
tation (DNAR) order. This endpoint, however, is poten-
tially biased by the fact that one of the tasks of METs is to
identify ward patients for whom a resuscitation would be fi
The ultimate strategy for assessing RSS effectiveness
would be a randomized trial with concurrent cohorts,
which would allow the investigators to control for most
possible confounders. However, this solution is ham-
pered by both ethical and implementation issues. Ran-
domization at individual patient level for interventions
which are commonly believed to be beneficial would in
fact be ethically questionable. 2) [7], as well as asystole/PEA [8] that has
been sustained in the ensuing years. The attractiveness of
high-performance CPR is that it is relatively inexpensive
to deploy (can be easily added to existing EMS training
programs), does not require special equipment (hands A third disparity lies in the marked differences in out-
come from cardiac arrest between communities across
Europe and the United States. For cardiac arrest due to
VF, survival can vary significantly between major cities by
many-fold (Fig. 1) [3–5]. To some extent, such differences
in outcome are explained by inaccuracies in record keep-
ing. For example, few communities actually report their
incidence of cardiac arrest and outcome [6]. And even
among those that do, complete capture of all cases of car-
diac arrest and the reliability of their survival data can
be questionable, accounting for some of the variability
in outcomes that are reported. This said, record keeping
alone does not entirely explain these discrepancies. Iden-
tifying and targeting remediable causes of differences in
survival between communities is imperative if we are
to assure citizens that they are comparably “safe” from
death by cardiac arrest in whatever locale they call home. Clinical factors that are known to account for differences Fig. 1 Survival to hospital discharge from out-of-hospital ventricular
fibrillation in various communities outside the United States
Fig. 2 The impact of instituting high-performance CPR in King
County, Washington, in 2005 on survival from witnessed out-of-
hospital cardiac arrest due to ventricular fibrillation Fig. 1 Survival to hospital discharge from out-of-hospital ventricular
fibrillation in various communities outside the United States Fig. 2 The impact of instituting high-performance CPR in King
County, Washington, in 2005 on survival from witnessed out-of-
hospital cardiac arrest due to ventricular fibrillation Fig. 2 The impact of instituting high-performance CPR in King
County, Washington, in 2005 on survival from witnessed out-of-
hospital cardiac arrest due to ventricular fibrillation Fig. 2 The impact of instituting high-performance CPR in King
County, Washington, in 2005 on survival from witnessed out-of-
hospital cardiac arrest due to ventricular fibrillation Page 3 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 only), and has demonstrated that it can improve outcome
for virtually all presentations of cardiac arrest. inappropriate. Therefore, part of the observed reduction
in the rate of unexpected cardiac arrest after the imple-
mentation of a RRS is because the fraction of expected
cardiac arrests is increased by placement of a DNAR
order. While many of the identified disparities in cardiac
arrest will continue to pose challenges for its manage-
ment, a focus on improving systems-of-care, particularly
deployment of high-performance letter-perfect CPR,
offers the promise of a practical intervention that can be
implemented immediately and an effort that promises to
improve survival outcomes in any community. Another endpoint for measuring RRS effectiveness is
the reduction of unplanned ICU admissions. The ration-
ale is that the introduction of RRS should increase the
number of ICU admissions that are planned early, before
further deterioration occurs, and decrease those occur-
ring as emergency admissions after resuscitation from
cardiac arrest. This model has been indirectly demon-
strated for ICU admissions from Emergency Depart-
ment [11] where an earlier transfer to ICU has been
demonstrated to decrease both ICU and hospital mor-
tality. However, this is not always the case with RRS. In
one large American before-and-after study [12] in which
almost half of the MET interventions resulted in an ICU
admission, the implementation of the RRS was followed
by a reduction of non-ICU codes but it did not translate
in a reduction of hospital mortality. In that study, mor-
tality in patient transferred from ward to ICU was very
high, and problems of patient selection, appropriateness
and timeliness of ICU transfer have been advocated to
explain these results.h Effectiveness of rapid response systems for prevention
of cardiac arrest Cluster randomization is
ethically acceptable, but difficult to implement because
RRS intervention cannot be blinded, and contamination
between the two study arms would be unavoidable, as did
actually occur in the MERIT trial, the only randomized
study conducted since now on RRS [14]. Another major
implementation issue in that trial, as in general for RRS,
was an afferent limb failure [15], due to an incomplete
compliance of the ward personnel with the MET calling
criteria. Fig. 3 The 25-year trend of rates of survival to discharge after resus‑
citation from in-hospital cardiac arrest in 100 observational studies,
1985–2010 Fig. 3 The 25-year trend of rates of survival to discharge after resus‑
citation from in-hospital cardiac arrest in 100 observational studies,
1985–2010 Page 4 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 raised from 3 to 10 % during the intervention period. It is
worth noting that the percentage of AED-use increased only
from 1 to 2 %, which implies that the impressive improve-
ment of outcomes of OHCA patients is rather due to prompt
basic life support (as well as improved post-resuscitation
care) than to AEDs. Similar initiatives are now being under-
taken in Germany. Once CPR is started, its high quality is
decisive for outcome. Compression depth must be sufficient
(5–6 cm), frequency appropriate (100–120/min.), the chest
must be released between compressions and interruptions
of chest compressions must be kept as short as possible. Several studies have shown an association between these
factors and survival [18–20]. During ALS by EMS-person-
nel, further variables are part of CPR quality: in the OHCA-
setting, automated chest compression devices have failed
to prove superiority to manual CPR. There is still much
debate on airway management and staffing of ambulance
cars. Retrospective studies have shown higher survival rates
in patients who received endotracheal intubation (ETI) as
compared with extraglottic airways [21, 22]. In retrospec-
tive studies, though, successful ETI might also be indica-
tive of a generally higher skill-level of the EMS-personnel
performing CPR. When using ETI during CPR, one needs
to keep in mind that a high level of training is indispensa-
ble and that prolonged ETI-attempts, which go along with
long interruptions of chest compressions, must be avoided. Effectiveness of rapid response systems for prevention
of cardiac arrest In a recent prospective, non-randomized trial, presence of
a physician during CPR of OHCA-patients was associated
with an impressively higher rate of survival than in patients
being resuscitated by paramedics only [23], which confirms
results of previous trials that observed higher survival rates
in physician-staffed EMS [24]. Taken together, we can save
thousands of lives each year if we manage to increase the
likelihood of bystander-CPR and to optimize quality of
ALS. A final issue is reproducibility. The vast majority of
studies have been made in UK or Australian–New Zea-
land systems, a minority of studies have been conducted
in US and only very few studies have been conducted in
other World areas as Continental Europe or Asia. The
effectiveness of an RRS depends on the nature and the
quantity of the urgent, unmet patients’ needs in general
wards. This model may not work in places where the
severity of patients in general wards, the education of the
ward personnel or the resource availability is different
from that of places where this model was developed. In summary, there are different ways of measuring
the effectiveness of RRSs. The major include the rate of
unexpected CA outside ICU, the rate of unplanned ICU
admissions, and hospital mortality. All these outcome
measures have limitations and are prone to bias. The level
of evidence supporting the effectiveness of RRSs is rela-
tively low and almost all studies have a before-and-after
design. Despite the ethical and implementation difficul-
ties, high-quality randomized trials are warranted to reli-
ably assess the effectiveness of RRS. CPR quality has a deep impact y
Hendrik Drinhaus and Bernd Böttiger Despite enormous
efforts in recent years to improve quality of cardiopulmo-
nary resuscitation (CPR) by the development of new CPR-
guidelines and to enhance post-resuscitation care particu-
larly by the introduction of mild therapeutic hypothermia
and early coronary intervention, survival rates after OHCA
remain unsatisfyingly low in many countries. As a prereq-
uisite for successful post-resuscitation care on the Intensive
Care Unit, high-quality CPR must be started as early as pos-
sible. As advanced life support (ALS) by emergency medi-
cal services (EMS) can only be expected to be commenced
several minutes after OHCA, timely initiation of basic life
support (BLS) by lay bystanders is crucial to ensure a timely
perfusion of the brain and other vital organs. Sufficient per-
fusion can only be obtained by high-quality CPR. Hence,
it is vital to increase the percentage of bystander-CPR and
to improve the quality of both BLS and ALS. According to
the German Resuscitation Registry, bystander-CPR is per-
formed in less than 20 % of OHCA cases [16], as opposed
to 50 % or more in Scandinavian countries. Large-scale
programmes raising public awareness of cardiac arrest
and CPR as well as providing hands-on training in BLS
are a promising tool to improve survival after OHCA. In
a national initiative that included CPR-training as early as
in primary school, telephone guidance to CPR by EMS-
dispatchers, and distribution of automated external defibril-
lators (AED) in Denmark [17], the rate of bystander-CPR
could be increased from 21 to 45 % and 1-year survival What to perform prior to ICU admission? Percutaneous
coronary intervention before hypothermia Hendrik Drinhaus and Bernd Böttiger Mild therapeutic
hypothermia (MTH) and percutaneous coronary interven-
tion (PCI) are both established components of post-resus-
citation care after cardiac arrest, as recommended by the
2008 Statement of the International Liaison Committee on
Resuscitation (ILCOR) [25]. Already then, it was suggested
that indication for early PCI be extended beyond obvious
myocardial infarction (STEMI), given the high probability
of significant coronary artery disease in OHCA patients
[26]. Since then, several trials have underlined the benefi-
cial effects of early (<6 h after the event) PCI after OHCA
also without STEMI [4, 27, 28]. Combination of PCI and
MTH is feasible and does not necessarily lead to longer Kudenchuk et al. Ann. Intensive Care (2015) 5:22 Page 5 of 24 door-to-balloon times [29]. Its effects on survival and good
neurological outcome appear to be synergistic [30, 31]. Hence, modern post-resuscitation care includes hypother-
mia and early coronary intervention (unless a non-cardiac
origin of cardiac arrest is assumed or confirmed). Induction
of MTH is recommended to be started as soon as possible
by the ERC guidelines. Meta-analyses of the existing data
on very early and prehospital induction of MTH have not
shown an improvement in survival [32]. In a recent large
randomized controlled trial using large volumes of ice-
cold saline to induce MTH before arrival at the hospital,
no difference in survival or neurological outcome could be
found, but patients who received cold saline had a slightly
higher risk of renewed cardiac arrest during transport to the
hospital and of transient pulmonary oedema [33]. In the
light of the findings presented hitherto, we deem it impor-
tant to stress the survival benefit of early PCI after cardiac
arrest not only due to definite STEMI and to raise aware-
ness among EMS personnel to transport OHCA-patients to
hospitals in which early PCI, as well as other components
of post-resuscitation care, can and will be performed at
any time. Prehospital cooling (at least by infusion of cold
saline) on the other hand appears not to convey a benefit,
maybe even a risk, and hence, not too much time and effort
should be spent on aggressively lowering temperature dur-
ing transport using ice-cold saline solution. In any case,
induction of MTH must not delay arrival at an appropriate
hospital. What to perform prior to ICU admission? Percutaneous
coronary intervention before hypothermia It appears worth considering to include into the
guidelines on resuscitation and post-cardiac arrest care a
recommendation to treat patients after cardiopulmonary in
specialized centres that can provide early PCI, MTH and
targeted temperature management as well as expert ICU-
treatment wherever and whenever possible [34]. What to perform prior to ICU admission: is CT‑scan useful? Alain Cariou Early identification of causes and conse-
quences of cardiac arrest is generally considered of impor-
tance, in order to prevent recurrence and subsequent clinical
deterioration. Apart from coronary angiography, a brain and
chest CT-scan can also be performed at admission, when an
extra-cardiac cause is suspected and in the absence of an
obvious pre-hospital etiology. In a recent study, this strategy
was performed in 355 patients and provided a diagnosis in
72 patients (20 %), mainly stroke and pulmonary embolism
(PE) [35]. Early identification of brain damages can lead to
major changes in therapy such as the use of anticoagulants. In addition, since the rate of subsequent brain death is very
high in this subgroup, organ donation can be considered
rapidly if an early diagnosis is achieved. Regarding PE, cur-
rent guidelines underline the potential benefit of identifying
this curable cause of arrest [36]. Based on prodromes and
clinical evidence, an algorithm can be proposed in order to
manage early imaging after cardiac arrest (Fig. 4). Thrombolysis in the treatment of cardiac arrest
Hendrik Drinhaus and Bernd Böttiger In non-traumatic
OHCA, acute myocardial infarction (AMI) and pulmo-
nary artery embolism (PAE) account for approximately
70–80 % of all cases [37]. Common feature of these aeti-
ologies is the obstruction of vital arteries by a blood clot. Dissolving these blood clots by administering fibrinolytic
substances to re-establish circulation in the respective ves-
sel beds therefore appears to be a logical approach from
a pathophysiological point of view. Several case-reports
and case-series have shown impressive results in patients
with presumed or documented PAE [38, 39]. Improvement
of return of spontaneous circulation (ROSC) and survival Fig. 4 Algorithm for early imaging diagnosis after cardiac arrest Fig. 4 Algorithm for early imaging diagnosis after cardiac arrest Fig. 4 Algorithm for early imaging diagnosis after cardiac arrest Kudenchuk et al. Ann. Intensive Care (2015) 5:22 Page 6 of 24 rates in patients who received thrombolysis during CPR
has also been observed in non-randomised observational
trials [40, 41]. CPR is better without epinephrine in cardiac arrest! Kjetil Sunde Whereas there is clear evidence for improved
survival with CPR and defibrillation during cardiac arrest
management, there is today lacking evidence that any of
the recommended and used drugs leads to any long-term
benefit for the patients. Thus, until we have better drugs or
combination of drugs, ALS can be performed without the
use of drugs, and instead gains all focus on improving the
tasks we know improve survival. Good-quality CPR, early
defibrillation together with goal-directed post-resuscita-
tion care is way more important than giving drugs with no
proven benefit [43]. More drug studies are indeed required,
and future research needs to incorporate better diagnos-
tic tools to test more specific and tailored therapies that
account for underlying aetiologies and individual respon-
siveness. We should expand our diagnostic capabilities
exploring the feasibility of utilizing technologies such as
capnography, near-infrared spectrophotometry (NIRS), VF
analysis, and ultrasound assessment to allow targeted ther-
apy (while maintaining adequate CPR). When good quality
of care and improved diagnostics have been ensured, more
tailored drug approaches could eventually be tested based
on underlying etiologies. What to perform prior to ICU admission? Percutaneous
coronary intervention before hypothermia A large randomised, double-blind, placebo-
controlled trial—the TROICA-study—was therefore initi-
ated to systematically evaluate thrombolysis during OHCA
of presumed cardiac origin, not limited to suspected pul-
monary artery embolism. In this trial, no difference with
regard to ROSC or survival rates in an unselected OHCA-
population could be detected. Intracranial haemorrhage
occurred more frequently in the tenecteplase-group [37]. Hence, no recommendation to administer fibrinolytics as
a standard of care in all OHCA-patients could be gener-
ated from this trial. Accordingly, the current guidelines of
the European Resuscitation Council recommend not to use
fibrinolytics routinely during CPR. However, fibrinolytics
should be considered if pulmonary embolism is the proven
or suspected cause of cardiac arrest. In this case, cardio-
pulmonary resuscitation should be maintained for at least
60–90 min after injection of the fibrinolytic, if necessary
[42]. Taken together: if a coronary cause of cardiac arrest is
assumed, fibrinolytic drugs should not be used and prompt
coronary revascularisation, usually by percutaneous coro-
nary intervention, is the treatment of choice—even during
ongoing CPR. Fibrinolytics must be considered if pulmo-
nary artery embolism is the suspected or proven cause of
cardiac arrest. ECMO for cardiac arrest: ECMO is futile ECMO for cardiac arrest: ECMO is futile
Martin Dworschak Extended time periods of no and
low flow after CA are generally associated with poor out-
come. Although return of spontaneous circulation can be
achieved after more than 20 min of CPR, only few patients
will survive with good functional outcome [44, 45]. By
rapid deployment of ECMO in patients with refractory
conventional CPR (CCPR) systemic blood flow can be
maintained to prevent irreversible organ damage. The
best results with extracorporeal CPR (ECPR) have been
obtained so far in neonates and children when ECPR
was instituted during in-hospital cardiac arrests that had
short response times. The benefit of ECPR in adults being
resuscitated for in- or OHCA is less clear. One major con-
founder is the fact that ECPR is frequently considered for a
highly selected patient population (young age, ventricular
fibrillation as the initial cardiac rhythm, witnessed arrests
with immediate bystander CPR) only [46]. Nevertheless,
quoted survival rates after ECPR [47] are either compa-
rable with those in CCPR patients [48] or slightly better,
but this does not seem to impact on neurological outcome
[46, 49]. Accordingly, in 2010 the American Heart Asso-
ciation did not recommend the routine use of ECPR [50]. What to perform prior to ICU admission? Percutaneous
coronary intervention before hypothermia Yet, it could be taken into consideration when it is readily
available and the no-flow duration is brief. Furthermore,
the conditions that led to the arrest should either be revers-
ible or amenable. Particularly in OHCA, however, most
patients are neither young nor hypothermic or intoxicated
and they do not present with a shockable rhythm; fewer
CAs are witnessed and the quality of BLS/ALS is usually
unknown. Another handicap in OHCA appears to be fast
deployment of ECMO with quick institution of therapeu-
tic hypothermia [51]. Although ECPR seems to improve
survival, especially after long-duration CPR, the rate of
neurologically intact survivors still remains low. Future
research should define criteria for the optimal indication of
ECPR and criteria for ECPR as a bridge to LVAD, HTX,
or organ procurement to guarantee efficient use of precious
and scarce resources. Randomized controlled trials, as well
as crucial analysis of uniformly reported CA data from reg-
istries would greatly facilitate decision-making. Post res scitation management targeted temperat re How to cool? Fabio Taccone Several cooling methods, both invasive
and non-invasive, are currently used to achieve target tem-
perature after post-anoxic brain injury. Invasive methods
include the administration of intravenous cold fluids or
the use of endovascular cooling catheters [52]. The use of Page 7 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 are quite safe, are not dependent on an external energy
source and can be initiated even during cardiopulmonary
resuscitation [63]. Alternatives methods for cooling could
be continuous renal replacement therapy, peritoneal lav-
age and, in case of severe cardiogenic shock, the use of
extracorporeal membrane oxygenation (ECMO) devices;
however, these methods are particularly invasive and
their use has been limited to very selected cases [64–66]. cold (4 °C) fluid infusion is cheap and easy-to-use, even
in the pre-hospital setting. This method is generally rec-
ommended to initiate cooling in comatose survivors after
CA, either alone or in conjunction with other cooling sys-
tems [53]. A 2-l bolus given over 30–60 min immediately
after ROSC was associated with a mean decrease in core
temperature of 1.3 °C [54]. This method is largely used
also to induce hypothermia in the fields [33]. However,
cold fluids are not effective to maintain target temperature
[55] and, because of potential excessive volume-loading
and reduced coronary perfusion pressure [56], have been
recently associated with an increased risk of re-arrest and
pulmonary oedema when given before hospital admission
[33]. The endovascular cooling catheter contains a circu-
lating cold solution, which is maintained at a controlled
temperature; this method can easily achieve a cooling rate
of 1.5–4.5 °C/h [52]. Moreover, the use of an endovascular
system reduced the variability of body temperature around
the target value and increased the proportion of time that
patients spent within the therapeutic temperature targets
during the maintenance phase [57]. Main limitations are
related to the time to insertion into a large vein, the need
of a bedside heat exchanger with energy supply (i.e. lim-
ited used outside the ICU) and the potential risk of venous
thrombosis or infection [58]. Finally, no prospective study has shown a clinical
superiority of one method to another, while some retro-
spective reports suggest a better survival rate for endo-
vascular cooling when compared to surface cooling
methods [67, 68]. For how long?
l S
d Kjetil Sunde The precise description of patients that
will benefit from therapeutic hypothermia (TH), or tar-
geted temperature management (TTM), the ideal induction
technique (alone or in combination), target temperature,
optimal maintenance and rewarming times have yet to be
established. Independently of the cooling method chosen,
TH is easy to perform, and without severe side effects or
complications associated with mortality. As for the dura-
tion of TH/TTM, the majority of centers use 24 h as their
treatment strategy; however, we are lacking of clinical data
comparing different durations. Newborn asphyxial arrests
are treated with TH for 72 h, with several RCTs proving its
benefit compared to normothermia/fever. In a recent ani-
mal study, post-cardiac-arrest TH resulted in comparable
improvement of survival and survival with good neurologic
function when initiated within 4 h after return of sponta-
neous circulation. Interestingly, histological assessment
of neuronal survival revealed a potentially broader thera-
peutic window and greater neuroprotection when TH was
maintained for 48 versus 24 h [71]. However, this benefit
was not seen in the neurological outcome evaluation. In a
clinical registry study among approximately 1000 cooled
comatose cardiac arrest patients, factors related to the tim-
ing of TH had no apparent association to outcome (Fig. 5). Non-invasive methods include external surface and
ice packs or pads. Modern cooling blankets or fluid pads
usually operate with a continuous temperature feedback
mechanism, which reduced the risk of temperature vari-
ability and overcooling, and present a cooling rate around
1.2–2.5 °C/h in CA patients [52, 59]. Unfortunately,
these devices also depend on an external energy sup-
ply and it remains difficult to use them outside the ICU. Ice packs can be easily applied to different areas of the
body, are inexpensive and are not dependent on an exter-
nal energy source; however, the cooling rate is extremely
poor (<1 °C/h) and could expose patients to overcooling,
as there is no feedback temperature control. Ice pads can
provide a faster cooling rate (up to 3 °C/h) after CA, but
they have been associated with thermal skin damage on
the sites of application [60]. An attractive alternative to these methods is to induce
brain hypothermia, especially because of the decreased
risk of side effects associated with whole-body cooling. How to cool? Importantly, the endovascular catheter
and modern surface devices have significant higher costs
than intravenous fluids and ice packs [69]; however, their
use was associated with an important reduction of nurse
workload and improvement in patients’ care [70]. For how long?
l S
d Cranial cooling cap devices placed around the head and
neck can easily decrease tympanic temperature; how-
ever, they are mostly effective in children because of
their favourable ratio of head-to-body surface area [61]. Nasopharyngeal cooling devices, which use volatile cool-
ant fluids via a specific nasal catheter, can rapidly reduce
brain temperature with a concomitant reduction of core
temperature around 1.0–1.5 °C/h [62]. These systems Any evidence for non‑shockable rhythm patients? Thus the ben-
eficial effect observed for in-hospital mortality was no
longer significant when analysis was restricted to the two
small RCTs available. Another meta-analysis similarly
concluded that the group sizes for patients with asys-
tole or non-cardiac causes of CA were too small to draw
conclusions. At least, several recent non-randomized
controlled studies—after adjustment in some studies—
reported negative or even harmful TH-effects on out-
come in this population [74, 80–82]. Similarly, with a TH
implementation in nearly 50 % of patients and a global
hospital survival of 2 % in the non-shockable rhythm
group, TH was not significantly associated with hospital
survival after adjusting for other prognostic factors [75]. The pro-con debate on the use of TH in non-shockable
patients has been previously described [74]. Briefly, some
argue in favour of the use of TH in non-shockable CA
patients: (1) the pathophysiological processes responsi-
ble of post-anoxic (brain) damages seem independent of
the initial rhythm (i.e. shockable versus non-shockable);
(2) most of experimental and animals studies strongly
support the use of TH in asphyxia and CA models irre-
spective of the initial rhythm; (3) with more than 10
concordant large randomized controlled trials and meta-
analyses, TH initiated within 6 h and targeted to 32.5–
35.5 °C for 72 h is unequivocally beneficial on survival
and neurological outcome in newborns who sustained
asphyxia (with or without cardiopulmonary resuscita-
tion: CPR) and exhibit acidosis and/or neonatal hypoxic-
ischaemic encephalopathy [73, 74, 78]; (4) TTM with
TH is potentially the unique available treatment to date
prone to minimize brain damages and long-term dis-
abilities, and to increase survival without major sequelae
in non-shockable CA patients [74]; (5) some observa-
tional, retrospective or prospective, but non-randomized Beyond ethical considerations regarding the TH-
related futility/benefit ratio, some major issues remain
unsolved regarding the ideal TTM in this specific
population. The correct selection of patients that could benefit or
not from TTM or TH-implementations seems critical in
this heterogeneous group, as well as the underlying co-
morbidities and severity of the post-resuscitation syn-
drome [74]. Indeed an initial non-shockable rhythm may
represent: (1) either the first documented CA rhythm
resulting from a severe non-cardiac aetiology with its
own prognosis per se; (2) or the consequence of an initial
shockable CA with a prolonged time to first CPR leading
to prolonged ischaemic times, severe brain damages and/
or multiple organ failures. Any evidence for non‑shockable rhythm patients? Nicolas Deye According to international guidelines,
therapeutic hypothermia (TH) might also benefit coma-
tose adult CA patients with spontaneous circulation after
resuscitation from a non-shockable rhythm [72]. However,
there is no large randomized controlled trial evaluating the
clinical impact of TH in this situation. Using TH for non-
shockable CA patients is supported by only low level of Page 8 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 Fig. 5 Therapeutic hypothermia side-effects and their categorization clinical studies observed a benefit of TH in non-shocka-
ble CA adults patients, with one meta-analysis suggesting
a reduced in-hospital mortality without improvement of
the neurological outcome in these patients. Conversely, the potential increased TH-related side
effects are not in favour of the use of TH in non-shock-
able CA patients. Adverse events include the increased
delay in time to recovery of consciousness leading to a
prolonged delay to evaluate the neurological recovery. This delay seems mainly induced by the use of sedatives
and neuromuscular blockers often required during the
TH use, leading to a possible prolongation of mechani-
cal ventilation and hospitalization durations, and conse-
quently of ICU costs. The increased incidence of other
main side effects, essentially pneumonia and sepsis, could
be another explanation altering the risk/benefit ratio of
TH, although neither firmly established nor related to the
initial CA rhythm [74, 76, 79]. Fig. 5 Therapeutic hypothermia side-effects and their categorization scientific evidence and extrapolation of data resulting from
shockable rhythms. Consequently, the potential impact of
TTM including TH-implementation remains controver-
sial for CA patients presenting with initial non-shockable
rhythm [73, 74]. Treating such patients becomes a major
health issue, as the proportion of these patients increases
over decades while the proportion of OHCA patients
resuscitated from shockable rhythms declines and now
represents the minority of OHCA patients [75]. Prognosis
of patients experiencing CA still remains poor. However,
large registries reported recently for non-shockable CA
patients hospitalized in ICU survival up to 26 %, favour-
able neurological outcome at 6 months of 22 %, and sur-
vival rate at 10 years after hospital discharge alive reaching
43 % [76, 77].h Additionally, several studies describing non-shockable
CA patients have not shown significant prognostic effect
of TH [74]. Most of the studies included in the first meta-
analysis evaluating this issue presented substantial risks
of bias and a very low quality of evidence. Hypothermia‑associated complications Alain Cariou Besides infections, several other adverse
events such as arrhythmias, seizures, bleeding or thrombo-
sis, electrolyte and metabolic disorders, occur commonly
in comatose patients treated in critical care units after out-
of-hospital cardiac arrest. These events may be related to
the cause precipitating the cardiac arrest, the post-cardiac
arrest syndrome or the critical care treatment. As it may
affect many physiologic processes and responses, hypo-
thermia itself is commonly suspected to promote these
events (Fig. 2) [87]. However, most of these events are
probably not related to TH, as suggested by the results
of a recent Cochrane systematic review that revealed no
significant difference in reported adverse events between
hypothermic and control patients [88]. Regarding meta-
bolic disorders, rapid changes in glycemia are possibly the
most clinically relevant event that could be worsened by
hypothermia [89, 90]. As it may worsen brain damages, it
suggests minimizing glycaemic variations during the post-
resuscitation period. In addition, TH most often requires
sedation, ventilation, and neuromuscular blockade, which
may delay the possibility of neurological evaluation. At last, the aetiology and/or mechanisms respon-
sible for fever are possibly a key issue to correctly
evaluate patients able to receive a TTM or a TH imple-
mentation, especially after CA occurrence in non-shock-
able patients. In a large population of unselected ICU
patients, fever was not always associated with a poor
prognosis and control of fever was not always associated
with better prognosis, with important differences exist-
ing between septic and non-septic patients [84]. Post-
CA syndrome often mimics a sepsis-like syndrome. The
correct discrimination of patients who may benefit for a
strict normothermic control, those who may benefit for
a TH implementation targeted to 32–35 °C, versus those
who may—or not—benefit for a fever control within the
48–72 h after CA to avoid rebound hyperpyrexia, is the
next step to optimize the temperature control after CA in
the non-shockable population [74, 85].h The choice of the correct target temperature as the
precise achievement of goal temperature seems also
crucial in these patients. The recommended treatment
for all post-CA patients is at present an early TH-imple-
mentation of 12–24 h targeted to 32–34 °C [72]. Hypothermia‑associated complications An
adapted scheme of TTM could be of critical importance
in non-shockable patients, regarding the optimal dura-
tion, speed cooling, level of temperature, therapeutic
window, and rewarming rate of TTM, considering that
the cerebral damages may be more severe in this popula-
tion [72, 74]. Interestingly, in the large recent TTM-trial
including 20 % of patients presenting with an initial non-
shockable rhythm out of a total 939 enrolled patients,
no difference were found between the 2 studied arm,
i.e. 33 versus 36 °C applied for 28 h. The TTM-scheme
included in both groups a gradual rewarming <0.5 °C/h
to reach 37 °C, with tapering or discontinuation of the
mandatory sedation at 36 h, and a maintenance of body Any evidence for non‑shockable rhythm patients? A non-prolonged time from
collapse to return of spontaneous circulation (i.e. sum of
the time to first CPR plus the duration of CPR) could be Page 9 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 a relevant prognosis factor able to identify patients who
may mostly benefit from cooling independently of the
initial rhythm. Conversely in witnessed-OHCA patients,
the more prolonged is the time from collapse to first CPR
the better could be the TH-benefit after adjustment on
other factors including the initial rhythm. The target pop-
ulation in non-shockable patient probably results from a
complex balance between patients that can benefit from
TH (i.e., those with TH-accessible brain damages with
adequate durations of time to first CPR and CPR dura-
tions) versus those who do not (i.e., those with multiple
organ failure or too severe prognosis that could lead to
early death or early treatments withdrawal). Addition-
ally, the TH-implementation in non-shockable patients
is often left at the bedside physician’s discretion in most
studies evaluating this issue, and important bias should
be introduced regarding the correct selection of patients
[74, 83]. temperature for unconscious patients <37.5 °C until 72 h
after CA [86]. Similar results were herein observed in all
pre-planned subgroups including analyses performed
according to initial rhythm (i.e. non-shockable versus
shockable), suggesting that “strict normothermia” tar-
geted to 36 °C should be an alternative in non-shockable
rhythm CA patients. This ongoing debate clearly underlines the need for a
large multicentre study evaluating the effects of different
scheme of TTM and TH in non-shockable CA patients
after careful patients’ selection, including insights in sub-
groups according to the pathophysiology of the CA. To
date, the indication for TH in non-shockable patients
should be based using a case-by-case approach, whereas
a TTM approach targeting strict normothermia remains
reasonable for these patients. What is a real targeted temperature management: TTM
at 36 °C Hans Friberg In 2002, two landmark trials were pub-
lished showing that lowering body temperature to 33 °C
improved neurological outcome and saved lives in coma-
tose survivors of out-of-hospital cardiac arrest [52, 91]. This therapy was rapidly adopted by international guide-
lines and not questioned until a systematic review using the
GRADE methodology and trial sequential analysis showed
that the quality of the evidence for treating cardiac arrest
patients at 33 °C was low [86]. Criticism included the low
number of enrolled patients and the fact that both trials had Kudenchuk et al. Ann. Intensive Care (2015) 5:22 Page 10 of 24 Fig. 7 The TTM-trial included and randomized 950 comatose
patients to either 33 or 36 °C. Probability of survival through the end
of the trial and the number of patients at risk at each time point is
presented. From Nielsen et al. [86]. Copyright © (2013) Massachusetts
Medical Society. Reprinted with permission weaknesses, including quasi-randomization, lack of power
analysis and early stopping which was not adjusted for. Furthermore, patients in the control groups were treated
according to standard care of that time which allowed fever
[92]. This led to the design of a new trial, randomizing
patients to two controlled temperatures, 33 and 36 °C
[93]. The Target Temperature Management after Out-
of-hospital Cardiac Arrest trial (TTM-trial) included
and randomized 950 patients in 27 months, almost three
times the number of the two previous trials combined. Thirty-two sites enrolled patients in nine countries in
Europe plus Australia. The TTM-trial differs from pre-
vious trials in several aspects, the most important one
being that all patients received controlled temperature
management avoiding fever in both intervention arms
(Fig. 6). Other differences include a contemporary setting
with improved pre-hospital care with a high bystander
CPR rate, and improved hospital care in patients with
ROSC. For example, two of three patients in the TTM-
trial received an early angiography (<24 h). Other qual-
ity criteria that were acknowledged in the TTM-trial, as
opposed to previous trials, were that the design and the
statistical analysis plan were published in advance. [93,
94] In addition, prognostication of comatose patients was
performed according to a strict and predefined protocol
and the rules for decisions on withdrawal of life-sustain-
ing therapy (WLST) were transparent and published in
advance [90]. The primary outcome was survival until
the end of trial. What is a real targeted temperature management: TTM
at 36 °C A neurological assessment, using both
the Cerebral Performance Category scale (CPC) and
the modified Rankin Scale (mRS), was performed at
6 months and was blinded. Fig. 7 The TTM-trial included and randomized 950 comatose
patients to either 33 or 36 °C. Probability of survival through the end
of the trial and the number of patients at risk at each time point is
presented. From Nielsen et al. [86]. Copyright © (2013) Massachusetts
Medical Society. Reprinted with permission Fig. 7 The TTM-trial included and randomized 950 comatose comatose patients after cardiac arrest were treated at
either 33 or 36 °C [86]. We can therefore conclude that a
real target temperature management after cardiac arrest
is a controlled temperature at either of the two tempera-
tures, both avoiding fever. This should be part of a bun-
dle of care, including treatment of acute coronary disease
and contemporary and active intensive care. Our rationale for changing to 36 °C is that this tem-
perature is closer to normal and less invasive, reducing
known and unknown risks. The number and severity of
adverse events in the two intervention arms did not dif-
fer in the TTM-trial, although there was a tendency
towards less events in the 36°-arm (p = 0.086). Treat-
ing the patients closer to normal temperatures allows
for predictable drug effects, including those of sedatives
and antithrombotic therapy. In a recently published post
hoc analysis of the TTM-trial of the subgroup of patients
in circulatory shock at admission, a higher mortality at
ICU discharge was suggested in the 33 °C-arm (66 ver-
sus 44 %, adjusted p value 0.03) [95]. We cannot exclude
that other subgroups may benefit from treatment at 36 °C
or for that matter, from treatment at 33 °C. The optimal
temperature, duration of temperature management and
target population are yet to be defined. In summary, the TTM-trial has sent a clear message
to the medical community that no difference in survival
(Fig. 7) or neurological outcome could be detected when Fig. 6 Mean bladder temperature in the 33 and 36 °C intervention
groups of the Target Temperature Management after Out-of-hospital
Cardiac Arrest Trial (TTM-trial), during the 36 h of temperature
intervention. Temperature values are presented with 95 % confidence
intervals. In the original publication, temperature curves displayed
the means ± 2SD. From Wise MP et al. [179]. Reprinted with permis‑
sion Fig. What is a real targeted temperature management: TTM
at 36 °C 6 Mean bladder temperature in the 33 and 36 °C intervention
groups of the Target Temperature Management after Out-of-hospital
Cardiac Arrest Trial (TTM-trial), during the 36 h of temperature
intervention. Temperature values are presented with 95 % confidence
intervals. In the original publication, temperature curves displayed
the means ± 2SD. From Wise MP et al. [179]. Reprinted with permis‑
sion Fig. 6 Mean bladder temperature in the 33 and 36 °C intervention
groups of the Target Temperature Management after Out-of-hospital
Cardiac Arrest Trial (TTM-trial), during the 36 h of temperature
intervention. Temperature values are presented with 95 % confidence
intervals. In the original publication, temperature curves displayed
the means ± 2SD. From Wise MP et al. [179]. Reprinted with permis‑
sion Post‑resuscitation management: optimizing organ
perfusion and metabolic parameters Targeted tempera-
ture management (TTM), including therapeutic hypother-
mia (TH) targeted to 32–34 °C, is one of the therapeutic
measure improving prognosis and neurological outcome
after CA. Induced hypothermia could minimize the CA-
related injuries by decreasing O2 free-radical production,
mitochondrial dysfunction, brain O2 consumption [96]. Thus TH could minimize neuronal death and improve neu-
rological outcome and survival. However, hypothermia is
associated with several arterial blood gas (ABG) modifica-
tions, mainly induced by the leftward shift of the hemo-
globin dissociation curve, increased O2 and CO2 solubility,
modification of the pH regulation, with hypoventilation and
hypometabolism, leading per se to hypoxia and hypocap-
nia. Iatrogenic dyscarbia incidence (hypo- or hyper-carbia)
has been reported up to 69 % [97], hypoxia up to 63 %
[98], and hyperoxia up to 41 % [99]. International guide-
lines mainly focused on potential hypocapnia and hypoxia/
hyperoxia harmful effects for CA patients [72, 100]. They
advocate initial resuscitation with 100 % O2 ventilation to
avoid hypoxia followed by a titration of O2 therapy target-
ing arterial O2 saturation levels between 94 and 96(−98) %
especially during the initial post-CA period to avoid hyper-
oxia. y
Most clinical studies depicting the O2 effects after
ROSC from CA are methodologically of low level quality. The only small randomized clinical trial evaluating this
issue found a significant decreased value of the Neuron
Specific Enolase biomarker in favor of a normal level of
PaO2 versus a high level PaO2 in the subgroup of patients
without TH [105]. However, this result was not observed
for the S100B Protein biomarker and in the whole cohort
including the 28 patients regardless TH implementa-
tion. Hypoxia and hyperoxia harmful effects regarding
in-hospital mortality and functional status were initially
described in a large American registry in 2010 [98]. Sev-
eral issues have been pointed out for these studies: (1) the
statistical methods (registries and databases versus scarce
randomized studies, retrospective versus prospective
studies, single center versus multicentre studies, adjust-
ment not usually performed to control for other poten-
tial confounders); (2) the definitions regarding hyperoxia
thresholds (i.e. what precise level of PaO2 to choose?); (3)
the different time-point measurements and the period of
data collection (i.e. Post‑resuscitation management: optimizing organ
perfusion and metabolic parameters Oxygen and carbon dioxide after cardiac arrest: friend or foe? Nicolas Deye In CA patients, neurological injury is a
major cause of mortality [72]. A first hypoxo-anoxia phe- Page 11 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 nomenon occurs initially during CA before and during
CPR maneuvers. The ischemia–reperfusion syndrome
occurring in the post-resuscitation phase after obtaining
an ROSC can lead to secondary insults including oxidative
stress with free radical formation or mitochondrial dys-
function [72, 96]. Oxygen (O2) and carbon dioxide (CO2)
abnormalities can promote these insults. Targeted tempera-
ture management (TTM), including therapeutic hypother-
mia (TH) targeted to 32–34 °C, is one of the therapeutic
measure improving prognosis and neurological outcome
after CA. Induced hypothermia could minimize the CA-
related injuries by decreasing O2 free-radical production,
mitochondrial dysfunction, brain O2 consumption [96]. Thus TH could minimize neuronal death and improve neu-
rological outcome and survival. However, hypothermia is
associated with several arterial blood gas (ABG) modifica-
tions, mainly induced by the leftward shift of the hemo-
globin dissociation curve, increased O2 and CO2 solubility,
modification of the pH regulation, with hypoventilation and
hypometabolism, leading per se to hypoxia and hypocap-
nia. Iatrogenic dyscarbia incidence (hypo- or hyper-carbia)
has been reported up to 69 % [97], hypoxia up to 63 %
[98], and hyperoxia up to 41 % [99]. International guide-
lines mainly focused on potential hypocapnia and hypoxia/
hyperoxia harmful effects for CA patients [72, 100]. They
advocate initial resuscitation with 100 % O2 ventilation to
avoid hypoxia followed by a titration of O2 therapy target-
ing arterial O2 saturation levels between 94 and 96(−98) %
especially during the initial post-CA period to avoid hyper-
oxia. alive in multivariate analysis [104]. Incidence of hyper-
oxia defined as PaO2 >300 mmHg reached 14 %, whereas
hypoxia was defined as PaO2 <60 mmHg. The potential
deleterious effect of hypoxia during the resuscitative
efforts has been also found in another recent retrospec-
tive study [100]. nomenon occurs initially during CA before and during
CPR maneuvers. The ischemia–reperfusion syndrome
occurring in the post-resuscitation phase after obtaining
an ROSC can lead to secondary insults including oxidative
stress with free radical formation or mitochondrial dys-
function [72, 96]. Oxygen (O2) and carbon dioxide (CO2)
abnormalities can promote these insults. Post‑resuscitation management: optimizing organ
perfusion and metabolic parameters A “U-shaped” relationship between
the mean PaCO2 and the in-hospital mortality was found
with the best survival observed for the normocapnia
group (35–45 mmHg). No association between hypo-
and hyper-capnia with poor neurologic outcome were
observed. Another recent multicenter and prospective
study applying TH in 71 % defined PaCO2 as “low” when
<30 mmHg, “middle” when 30–37.5 mmHg, “intermedi-
ate” when 37.5–45 mmHg, and “high” when >45 mmHg
[107]. Patients with poor versus good outcome had simi-
lar highest, mean and lowest PaCO2. The mean 24-h
PaCO2 and the time spent in PaCO2 >45 mmHg regard-
less TH-implementation were independently associated
with better 1-year good outcome. However, same criti-
cisms can be made for all these studies than those made
above regarding statistics, threshold, data collection, or
treatments. To date mainly because of paucity of data on
this issue, no clear thresholds have been found regard-
ing the harmful impact of hypo- or hyper-capnia after g
ABG measurements performed at 37 °C are sec-
ondarily expressed either as temperature-corrected or
uncorrected according to biochemical centers [108]. Substantial discrepancies can be related to these meth-
ods: PaO2 = 100 mmHg at 37 °C becomes 79 mmHg if
corrected at 33 °C, when PaCO2 = 36 mmHg becomes
30 mmHg at 33 °C. There are no clear recommendations
regarding the ventilation strategy to be used in resusci-
tated CA patients despite such differences. Normocap-
nia in hypothermic patients can be achieved according
to two different mechanical ventilation strategies: α-stat
versus pH-stat. In the α-stat strategy ventilation is set to
achieve physiological arterial CO2 tension measured at
37°, unadjusted to the patient’s temperature, whereas in
the pH-stat strategy ventilation is set to achieve physi-
ological arterial CO2 tension measured at the patient’s
actual temperature. The latter strategy leads to a relative
hypoventilation compared to the α-stat strategy. Using
either α-stat or pH-stat strategy to guide normocapnia
after CA remain open to discussion. In the recent mul-
ticenter Finnish study focusing on ABG abnormalities
after CA, 13 ICUs used temperature-correction; whereas,
eight did not [107]. Two recent exploratory studies in
TH-treated CA patients compared either a “lower versus
upper threshold normocapnia” (32 versus 45 mmHg) or
the α-stat versus the pH-stat strategies while maintaining
a PaCO2 target level between 36 and 42 mmHg. Post‑resuscitation management: optimizing organ
perfusion and metabolic parameters In a retrospective cohort including 145 adult OHCA
patients with available arterial O2 pressure (PaO2) on
ABG sample during CPR attempts, an increased PaO2
was associated with improved rate of hospital admission Page 12 of 24 Page 12 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 with worse outcome, hypercapnia is not [100]. The man-
agement of PaCO2 after CA by using specific mechanical
ventilation strategy could influence the outcome of these
patients especially during TH. In a recent retrospective
study focusing on initial post-CPR mechanical ventila-
tion settings minute ventilation was weakly correlated
with the initial PaCO2 [110]. Normocapnia alone (31–
49 mmHg) was again associated with a better favorable
neurological outcome. Cerebral autoregulation physiologically maintain a con-
stant CBF within a large range of mean arterial pressure
[100, 108]. This relationship is modified by dyscarbia as
cerebral perfusion depends on CO2. Hypercapnia leads to
cerebral vasodilation and potentially increased intracra-
nial pressure, whereas hypocapnia leads to cerebral vaso-
constriction and potentially ischemia (decreasing PaCO2
of 1 mmHg can decrease CBF up to 3 %). Ensuring physi-
ological CO2 tension in CA patients seems important to
prevent worsening of the neurological status. Further-
more, impaired autoregulation has been described in
some brain-injured areas, in some TH-treated patients,
and inconstantly in CA patients. Recommendations
in resuscitated CA patients suggest a PaCO2 target of
40–45 mmHg during the post-ROSC period in this popu-
lation of brain-injured patients regardless of TH use [72,
100]. In a retrospective single-center study implementing
TH in 41 %, hypocapnia (defined by PaCO2 ≤30 mmHg),
hypercapnia (PaCO2 ≥50 mmHg), and association of
both dyscarbia occurring within the first 24 h after
ROSC were all independently associated with poor neu-
rologic outcome at hospital discharge [97]. An observa-
tional multicenter registry recently enrolled 16.542 adult
CA patients TH-treated in 39 %. Increased in-hospital
mortality and rate of poor outcome were observed in
the hypocapnia group compared to normocapnia after
adjustment for illness severity and propensity score [109]. Conversely, hypercapnia (PaCO2 ≥45 mmHg) within the
first 24 h after admission was independently associated
with similar in-hospital mortality and a higher rate of dis-
charge home among survivors. In a smaller study of TH-
treated patients, hypocapnia but not hypercapnia was
independently associated with an increased risk of in-
hospital death [106]. Post‑resuscitation management: optimizing organ
perfusion and metabolic parameters what value to consider between the
first ABG, the ABG on admission, the ABG within the
first hours or the first day after ROSC or CA, between
the mean or median versus the maximal or minimal PaO2
values or the worst PaO2 using worst (A-a) DO2 or the
PaO2/FiO2 ratio?); (4) the associated treatments (i.e. TH
versus the absence of TTM); (6) the best endpoint (i.e. in-
hospital mortality versus neurological outcome). Beyond general detrimental effects such as decreased
stroke volume, cardiac output and coronary blood flow
and increased systemic vascular resistances, poten-
tial neurological harm of O2 therapy have been largely
described [100, 101]. Hyperoxia can exacerbate cellular
oxidative stress injury and mitochondrial dysfunction to
key mitochondrial enzymes or mitochondrial lipids, leads
to cerebral O2-related vasoconstriction with a decreased
cerebral blood flow (CBF) and cerebral energy metabolism
impairment. It can increase the neuronal lipid peroxida-
tion and protein oxidation, enhance O2 free radical for-
mation and reactive O2 species, or react with nitrite oxide
to produce toxic metabolites (peroxynitrite, superoxide
ion, hydrogen peroxide). All of this will finally participate
to cell death. Despite several limitations or controversial
results in specific experimental models [100–102], most
animal studies have suggested that hyperoxia after CA
could worsen neurological outcome [103]. p
y
g
A recent meta-analysis concluded that hyperoxia in the
post-resuscitation phase after ROSC was significantly
associated with an increased in-hospital mortality [99]. Conversely, the poor neurologic outcome at hospital dis-
charge did not reach significance suggesting a possible
lack of association or a review underpowered. However,
these results need further confirmation because of its sig-
nificant heterogeneity (results were inconsistent in sub-
group and sensitivity analyses) and the limited number of
studies analyzed (3 abstracts out of the 10 pooled studies
were finally included). Since this review, two other stud-
ies describing a low hyperoxia incidence rate (3 and 6 %)
have been published [106, 107]. The potential harmful
effect of hyperoxia regarding mortality was not signifi-
cant. In only one of these 2 studies [106], hyperoxia was
significantly associated with poor neurological outcome
in the multivariate analysis, depicting a “V-shaped” rela-
tionship between probability of unfavorable outcome and
the mean PaO2 value obtained from ROSC to rewarming. Other means of cardio‑ and neuro‑protection Fabio Taccone Heart and brain protection strategies aim
to prevent or attenuate disease progression and secondary
injuries by halting or at least slowing the loss of cardio-
myocytes and/or neurons [111]. Although many pathologi-
cal mechanisms, including endothelial damage and tissue
hypoperfusion, inflammation, impaired mitochondrial res-
piration with induction of reactive oxygen species, calcium
overload or excitotoxicity, are common in both cardiac and
neurological injury following CA [112], some drugs may
present a more specific organ protection or have a lower
brain penetration, thus acting especially on the cardiac tis-
sue. Many therapeutic agents have been shown to be effec-
tive in protecting the heart and/or the brain in animal mod-
els of global or local ischemia [113]; nevertheless, these
findings were flawed because of the differences between
the experimental setting and the clinical scenario (i.e. absence of co-morbid diseases and need for anesthetics in
animal studies), the low mortality rates or the administra-
tion of the specific drug before the development of injury
(i.e. pre-treatment approach). g
Reperfusion injury leads to mitochondrial dysfunc-
tion also through the opening of a nonspecific pore in
the inner mitochondrial membrane, known as the mito-
chondrial permeability transition pore (MPTP) [127]. This phenomenon causes the loss of ionic homeostasis
and ultimately cell swelling and death. The inhibition of
the MPTP opening may provide some protection against
reperfusion injury; importantly, this may be mediated by
a direct interaction of cyclosporine A (CsA) with a pro-
tein located on the MPTP, called cyclophilin-D [127]. In
a murine model of CA, CsA was effective in reducing
myocardial dysfunction when given at the onset of resus-
citation but not after ROSC [128]. In one human study
conducted in patients suffering from acute myocardial
infarction, the administration of a 2.5 mg/kg bolus of CsA
before percutaneous coronary intervention was associ-
ated with a significant reduction in biomarkers of myo-
cardial injury (i.e. troponin I) and the extent of ischemic
areas on cardiac magnetic resonance imaging [129]. Nowadays, no clinical studies have evaluated the effects
of CsA on the neurological recovery of CA survivors yet. A promising approach to reduce brain excitotoxic-
ity (i.e. excessive extracellular glutamate levels) could be
the administration of intravenous magnesium or inhaled
noble gases (i.e. xenon or argon). In two studies, magne-
sium administration did not result in a better survival or
neurological outcome for CA patients [114, 115]. Post‑resuscitation management: optimizing organ
perfusion and metabolic parameters The first
study showed that the “lower threshold normocapnia”
induced decreased internal jugular vein O2 saturation
and CBF mean velocity suggesting an increased risk of
cerebral ischemia. The second study found that the alpha-
stat strategy increased jugular vein desaturation and cer-
ebral O2 extraction and decreased transcranial Doppler
cerebral velocities in survivors but not in non-survivors. In summary, dyscarbia especially hypocapnia should
be associated with an increased harm after CA leading to
increased unfavorable outcome or in-hospital mortality. Conversely O2 seems a two halves phenomenon with: (1)
a former deleterious effect of hypoxia during resuscita-
tion efforts, the potential benefit of hyperoxia implying
more evaluations; (2) followed by a deleterious effect of
both hypoxia and hyperoxia after ROSC in the post-CA
phase. To date because O2 and CO2 derangements have
no obvious benefit, aiming at normoxia and normocapnia Page 13 of 24 Page 13 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 hematopoietic hormone regulating erythropoiesis, which
shows also anti-apoptotic, anti-inflammatory and anti-oxi-
dant properties [122]. In a swine model of VF, high-dose
EPO administration during CPR reduced post-resuscita-
tion myocardial dysfunction and improved cardiac func-
tion [123]. However, post-ischemic EPO administration
in rats exposed to CA exerted no protective effect on hip-
pocampal neurons [124]. One human study has compared
the effects of 90.000 UI of EPO given during CPR to an
historical matched control group [125]. The EPO group
had higher rates of ROSC (92 versus 53 %, p = 0.006) and
hospital survival (54 versus 20 %, p = 0.011) when com-
pared to the control group. In another study [126], EPO
therapy was associated with a trend towards higher full
neurological recovery (55 versus 38 %) when compared to
an historical cohort. Unfortunately, a recent unpublished
randomized clinical trial (RCT) found no benefits of EPO
administration on comatose survivors after CA when
compared to placebo (Cariou et al.—presented at the 27th
ESICM congress—Barcelona, October 2014). after CA are potentially two very easy targets to achieve
in post-resuscitation care bundles. Meanwhile all stud-
ies describing ABG parameters in TTM- or TH-treated
CA patients should actually emphasize the strategy used,
either a temperature-corrected or a non-corrected strat-
egy to more precisely evaluate potential thresholds. Neurological assessment of brain damages
Minimal consciousness: classification and prognosis in CA
patients Steven Laureys and Didier Ledoux Successful resuscita-
tion after cardiac arrest or cerebral hypoxia can have an
extremely wide variety of functional and cognitive conse-
quences, ranging from transient cognitive or motor dys-
function lasting several weeks or months; to awakening
after coma in a state of unawareness or inability to com-
municate lasting months to years or decades (e.g. as seen
in vegetative or minimally conscious states) [137]. At pre-
sent, the medical and economic impacts of differences in
clinical management (including therapeutic hypothermia),
care pathways and disparate health policies within Europe
remain unclear. wakefulness syndrome” (PVS/UWS) [139] or without
recovery of functional communication or functional
object use, a condition referred to as “minimally con-
scious state” (MCS) [140]. In contrast to coma, such
chronic disorders of consciousness can last for many
months to years and at present there are no reliable epi-
demiological data regarding these challenging patients. The heterogeneous MCS group is subcategorized in
MCS—when patients only show non-reflexive behav-
iour such as eye tracking, orientation to pain or contin-
gent behaviour to specific stimuli (e.g. smiling exclusively
in the presence of a family member) and MCS+ when a
reproducible (albeit often inconsistent) response to com-
mand can be observed [141]. Figure 8 illustrates the timeline of events that may
occur after anoxic coma. When cerebral hypoxia leads to
a prolonged loss of consciousness (lasting >2 h to differ-
entiate from syncope), the patient is considered to be in
coma. Patients in coma will never open the eyes, even if
stimulated by a loud noise or intense noxious stimulus,
and will only show reflex movements. Coma will not last
longer than a couple of days to weeks. Most patients who
show good recovery will rapidly show signs of conscious-
ness and functional communication. Some patients,
however, will evolve to brain death (i.e., irreversible
coma with absent brainstem reflexes) and organ dona-
tion should be discussed [138]. Many patients will remain
with some brainstem function (i.e., will not be brain
death), but clinical and complimentary testing shows that
there is no reasonable chance for a meaningful recovery
and the decision is made to withhold or withdraw treat-
ment. In these cases, organ donation after cardiac death
can be discussed. Other means of cardio‑ and neuro‑protection How-
ever, hypothermia was not used in these studies, while
the combination of magnesium with cooling procedures
has been shown to result in the highest neuroprotective
effects [116]. Importantly, many questions remain unan-
swered on the optimal timing to initiate magnesium per-
fusion, optimal dosing and circulating levels and potential
side-effects, which may explain the negative results of
magnesium therapy after subarachnoid hemorrhage and
traumatic brain injury [117, 118]. Noble gases have been
proved to reduce the extent of neurological damage after
ischemia in animal models of CA [119, 120]. The admin-
istration of Xenon was also feasible in the human setting,
reporting both no adverse events and an improvement of
cardiovascular function after CA [121]. Unfortunately, we
still do not have any human data describing the potential
neurological benefits of such treatment. Also, mitochondrial dysfunction can be modulated
through the nitric oxide (NO)-related pathways; NO
inhibits ROS-producing enzymes and directly scavenges
ROS production [130]. Other potential beneficial effects
are the direct vasodilation of coronary arteries, which
could improve cardiac function in this setting. Experi-
mental models have suggested a protective role of intra-
venous NO-donors or inhaled NO both on cardiac and
neurological function after CA [131, 132]. Unfortunately,
only one pilot study showed the feasibility and safety of
low-dose nitrite infusion in cardiac arrest survivors, but
did not report any improvement in outcome [133]. i
Mitochondrial dysfunction could be attenuated by the
administration of erythropoietin (EPO), the principal Kudenchuk et al. Ann. Intensive Care (2015) 5:22 Page 14 of 24 Finally, recent data suggest that the early administration
of corticosteroids after in-hospital CA was associated
with an increased survival rate and reduced occurrence
of extra-cerebral organ failures [134]; whether these
effects were secondary to an anti-inflammatory effect or
the treatment of a relative adrenal insufficiency [135], it
remains to be further evaluated. Similarly, abnormalities
of peripheral microcirculation, similar to those found in
septic patients, have been described after CA [136]; the
pathophysiology of such alterations as well as their role
on patients’ outcome and the various therapeutic options
to manipulate the microvascular flow have to be better
characterized in future studies. Fig. 8 Timeline of events that may occur after anoxic coma Clinical tools Mauro Oddo The ideal tool for coma prognostication is
the one yielding the lowest false-positive rate (FPR) for poor
outcome. The definition of FPR is 1—specificity, whereby
the “perfect” predictor would allow 100 % (i.e. 1.0) speci-
ficity and an FPR for poor outcome of 0 and limit as far
as possible the risk of false predictions. Clinical exami-
nation comprises tools for the assessment of neurological
responses/reflexes, including the Glasgow Coma Scale
(GCS), brainstem reflexes and the comprehensive Full Out-
line of Unresponsiveness (FOUR) score. Clinical examina-
tion is an essential step for coma prognostication after CA
[153]. However, clinical examination may be misleading,
partly because of the effect of mild induced hypothermia
and sedation on neurological responses. In particular, using
the motor component of the GCS, it was found that motor
response to pain may be delayed up to 5–6 days following
CA [154]. Motor reaction to pain no better than extension
indeed yields an unacceptably high FPR (10–20 %) for poor
prognosis [155]. Apart from GCS, the assessment of brain-
stem reflexes (pupillary and corneal reflexes in particular) is
crucial. Corneal and pupillary reflexes have very high speci-
ficity: bilaterally absent pupillary/corneal reflexes yield an
FPR <1–2 % for poor prognosis, while their FPR for good
prognosis is relatively high (40–50 %) [155].h EEG-patterns that are strongly associated with a poor
outcome after cardiac arrest and considered “malignant
patterns” include a generalized suppression to <20 µV,
burst-suppression pattern with generalized epilepti-
form activity, or generalized periodic complexes on a flat
background [163]. In addition, a non-reactive EEG back-
ground pattern after rewarming from hypothermia treat-
ment has been found to be a predictor of poor outcome
[164]. A reactive EEG-pattern on the other hand, and a
return of a continuous EEG background pattern after
cardiac arrest are both strongly associated with recovery
and a good outcome [163, 164]. Continuous EEG (cEEG) provides dynamic information
and can be used to monitor evolution of EEG-patterns
and to detect seizures in the postischemic brain [165]. A traditional multichannel montage is commonly used
in adult ICUs, while a simplified EEG-montage with few
channels and trend analysis is more common in neonatal
ICUs [166]. In order to reach general use, cEEG needs to
be simple, possible to apply bedside and cost-effective. The predictive value of pupillary reactivity is under-
lined by recent systematic meta-analyses [155, 156]. Neurological assessment of brain damages
Minimal consciousness: classification and prognosis in CA
patients When patients remain in PVS/UWS for over 3 months
after the cardiac arrest, the condition is considered irre-
versible and life-sustaining treatment (i.e., artificial
hydration and nutrition) may be considered as futile and
hence be withdrawn. At present, the chances of recovery
after post-anoxic MCS are considered to be better than
for PVS/UWS but remain ill defined. Many patients who
recover from coma or related disorders of consciousness
will show cognitive dysfunction and may remain insti-
tutionalized or dependent of others for many activities
of daily living, but few reliable data exist regarding their
remaining quality of life. Recent advances in automated clinical EEG analysis
[142], combined EEG transcranial magnetic stimulation
studies [143] and structural and functional neuroimaging
have permitted to better document the clinical diagnosis
[144] and levels of consciousness in patients with severe
post-anoxic encephalopathy [145]. Several studies also
show their value in predicting the chances of recovery
after cardiac arrest (e.g., the assessment of EEG reactiv-
ity [142]; the quantification of white matter damage using Patients who survive their coma may awaken (i.e., open
the eyes) without any behavioural sign of consciousness
(i.e., only show reflex or automatic movements), a condi-
tion coined “persistent vegetative state” or “unresponsive Page 15 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 MRI diffusion tensor imaging [146] or PET imaging of
residual cortical metabolism [147]. prognostication [158]. Clinical tools should be inte-
grated into a multimodal approach, which ideally also
include electrophysiology (EEG reactivity and/or SSEP)
and blood biomarkers (e.g. NSE). Using this multimodal
approach, prediction of 3-month survival and neurologi-
cal outcome might approach 90 % accuracy [159]. Appli-
cation of such approach is supported by several recent
independent studies and can be recommended in ICU
practice [160]. At present, there are no evidence-based guidelines
regarding the treatment of patients with chronic anoxic
disorders of consciousness [148]. In terms of noninvasive
intervention, transcranial direct current stimulation has
recently been shown to be of potential interest [149]. A
better understanding of the temporal dynamics of pos-
sible residual neural plasticity following anoxic coma
and related conditions will permit to improve their clini-
cal management (including treatment for possible pain
perception [150]) and to rationalize our medical inter-
ventions [151] acute and chronic care pathways and end-
of-life decisions [152]. New electrophysiological tools: continuous and simplified
electroencephalography (aEEG) Hans Friberg Electroencephalography (EEG) is a com-
monly used method for identification of seizures and for
estimation of prognosis in comatose survivors after car-
diac arrest [161]. Limitations with an EEG-investigation
include its sensitivity to sedatives and the fact that a single
conventional EEG depicts the actual status during a limited
time, commonly 20–30 min. Another problem has been
the lack of consensus regarding EEG terminology and the
absence of a uniform classification system, a problem that
may be resolved by implementation of a standardized criti-
cal care EEG-terminology as recently proposed [162]. Clinical tools In
this setting, newly available automated infrared pupil-
lometers hold great promise, because they allow quan-
titative measurement of the pupillary response. One
single-center study recently showed quantitative pupil-
lometry is superior to standard pupillary examination for
post-CA coma prognostication and performs comparably
to electro-physiological exams (including EEG and SSEP)
[157]. f
We applied aEEG in consecutive cardiac arrest patients
[167]. The aEEG curve facilitates rapid surveillance of
extended time periods, but interpretation of patterns is
done on the original EEG-tracings, one from each hemi-
sphere. The relative simplicity of cEEG with a reduced
montage and aEEG trend analysis makes it attractive to
generalists in the ICU. It is applied bedside by the ICU-
staff (registered nurse) and data are linked to the neu-
rophysiologists, who will assess the collected data on a In summary, careful and complete neurological
examination is the first and still valid tool for coma Page 16 of 24 Page 16 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 regular basis and on demand. In order to facilitate for
clinicians, four dominating EEG-patterns after cardiac
arrest were identified and described (Fig. 9) [167]. Our
experience is that cEEG with a simplified montage and
aEEG trend analysis is well suited to follow transitions
in background patterns and has acceptable sensitivity to
detect clinically relevant electrographic seizures. A return
of a continuous EEG-pattern at normothermia is an early
and strong prognostic indicator with a positive-predictive
value for a good outcome of 0.87 (95 % CI 0.76–0.94) while
other patterns at normothermia indicate a poor prognosis
with a negative predictive value of 0.91 (95 % CI 0.76–0.98)
[167]. The clinical benefit of treating electrographic seizure
activity after cardiac arrest is yet to be proven, but simpli-
fied cEEG is a reasonable routine method to diagnose sei-
zure activity and to guide treatment. erentially memory and executive functioning, anxiety,
depression, and finally quality of life. Surprisingly, there
is no prospective study with extensive neuropsychological
assessment and longitudinal follow-up allowing to confirm
these retrospective data [169]. Moreover, the era of thera-
peutic hypothermia may have changed not only long-term
outcomes, but also its early prognosis assessment [170]. Thus, three important questions can be raised. p
q
What tools do we use to describe the long-term out-
come and are these tools sensitive? Clinical tools Whereas a recent
review demonstrated a broad heterogeneity in the out-
come measures utilized in clinical trials, the Cerebral
Performance Category (CPC) score is the recommended
measurement of long-term outcome after CA [170]. The
question of reliability of the CPC score has been evalu-
ated in several studies. There was a strong association
between the CPC score at hospital discharge and long-
term outcome. Moreover, the CPC score demonstrated
good correlation with various neuropsychological evalu-
ations in extensive cognitive battery tests, memory tests,
adaptative behavior and quality-of-life evaluations. Thus
the CPC could be considered as a gross indicator of long-
term functional outcome after CA. In conclusion, simplified continuous EEG (cEEG) with
trend analysis (aEEG) is a feasible and probably cost-
effective method to improve care after cardiac arrest
[168]. Collaboration with neurologists and neurophysiol-
ogists and education of staff are keys to success. We fore-
see that simplified cEEG will be part of routine bedside
monitoring of comatose survivors after cardiac arrest in
the near future. How could we evaluate the outcome during the long-
term follow up? According to the World Health Organi-
zation guidelines, evaluation of health after CA should
associate body functions and structures, with physical
examination and cognitive functions, activity and partici-
pation, personal factors such as anxiety and depression, Neurological assessment in the long‑term follow‑up
after cardiac arrest Stephane Legriel Half the survivors after CA have
long-term follow-up cognitive impairment affecting pref- Fig. 9 A simplified electroencephalogram (EEG) with two original EEG curves (lower panel), in combination with an amplitude integrated EEG
(aEEG) trend curve (upper panel). Four dominating EEG patterns after cardiac arrest are shown: a flat, b suppression-burst, c continuous and d elec‑
trographic status epilepticus. From Friberg et al. [161]. Reprinted with permission Fig. 9 A simplified electroencephalogram (EEG) with two original EEG curves (lower panel), in combination with an amplitude integrated EEG
(aEEG) trend curve (upper panel). Four dominating EEG patterns after cardiac arrest are shown: a flat, b suppression-burst, c continuous and d elec‑
trographic status epilepticus. From Friberg et al. [161]. Reprinted with permission oencephalogram (EEG) with two original EEG curves (lower panel), in combination with an amplitude integrated EEG
panel). Four dominating EEG patterns after cardiac arrest are shown: a flat, b suppression-burst, c continuous and d elec‑
us. From Friberg et al. [161]. Reprinted with permission Page 17 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 and so quality of life (Fig. 10) [171, 172]. The American
Academy of Clinical Neuropsychology recently rec-
ommended evaluation of the following items during a
neuropsychological evaluation: intellectual function-
ing, attention and executive functioning, memory and
learning, language and communication, visual–spatial
cognition and visual–motor praxis, motor and sensory
function, mood, conduct, personality, quality of life,
adaptative behavior (activities of daily living), social–
emotional awareness and responsivity, psychopathology
(psychotic thinking or somatization), motivation and
effort [173]. Thereby, a formal neuropsychological evalu-
ation covers the whole spectrum of objectives of health
evaluation. [174, 175], but survivors with good long-term functional
outcome have been described in 6 % of cases [175]. Con-
tinuous background pattern and reactivity during TH or
normothermia has been associated with recovery and
EEG plays now an increasingly important role in prog-
nostication of coma after CA. Thus, continuous EEG has
been suggested to assist with prognostication of coma
after CA [176]. Finally, literature data clearly favour a
multimodal approach of prognostication after CA. In conclusion, there is a broad variability in tools used
for evaluation during the long-term follow and a lack of
standardization. The cerebral performance category scale
is an efficient but imperfect surrogate tool to describe
long-term outcome after CA. Neurological assessment in the long‑term follow‑up
after cardiac arrest The neuropsychological
evaluation seems able to cover the whole spectrum of
objectives of health evaluation needed to evaluate the
long-term outcome. Early prognosis of long-term out-
come at the era of therapeutic hypothermia should be
based on a multimodal approach in order to minimize
false predictions. What approach should we use to make an early prog-
nosis of long-term outcome? All the parameters provided
in 2006 by the American Academy of Neurology for pre-
diction of outcome in comatose survivors after cardio-
pulmonary resuscitation have been challenged since the
application of therapeutic hypothermia. Predictors based
on clinical examination within 72 h after CA have dem-
onstrated higher false-positive rates [164]. Exceptional
survivors have been described despite bilateral absence
of N20 waves in median nerve somatosensory evoked
potentials. Neuron Specific Enolase demonstrated vari-
able cut-off values associated with poor outcome ranging
from 25 to 49.5 ng/mL on day 2 after cardiac arrest, with
one survivor with an NSE value of 110 ng/mL. On day 3,
variability was greater ranging from 10.6 to 97 ng/mL. Protein S100B was also associated with variability on day
1 after CA [156]. Postanoxic status epilepticus has been
demonstrated as an independent factor associated with
poor outcome in retrospective and prospective studies Author details 1 University of Washington, Seattle, USA. 2 Department of Anaesthesiol‑
ogy and Intensive Care, Catholic University School of Medicine, Rome, Italy. 3 Department of Anaesthesiology and Intensive Care Medicine, University
of Koeln, Cologne, Germany. 4 Medical Intensive Care Unit, AP-HP, Cochin Hos‑
pital, Paris, France. 5 Paris Descartes University and Sorbonne Paris Cité-Medical
School and INSERM U970 (Team 4), Cardiovascular Research Center, European
Georges Pompidou Hospital, Paris, France. 6 Division of Emergencies and Criti‑
cal Care, Department of Anaesthesiology, Surgical Intensive Care Unit Ullevål,
Oslo University Hospital, Oslo, Norway. 7 Division of Cardiothoracic and Vascu‑
lar Anesthesia and Intensive Care Medicine, Vienna General Hospital, Medical
University Vienna, Vienna, Austria. 8 Department of Intensive Care, Laboratoire
de Recherche Experimentale, Erasme Hospital, Brussels, Belgium. 9 Medical
Intensive Care Unit, AP‑HP, Lariboisière University Hospital, Inserm U942, Paris,
France. 10 Anaesthesiology and Intensive Care Medicine, Skåne University
Hospital, Lund University, Lund, Sweden. 11 Coma Science Group, Cyclotron
Research Centre, University of Liège and Liège 2 Department of Neurology,
University Hospital of Liège, Liège, Belgium. 12 Coma Science Group, Cyclotron
Research Centre, University of Liège and Department of Intensive Care Medi‑
cine, University Hospital of Liège, Liège, Belgium. 13 Department of Intensive
Care Medicine, Faculty of Biology and Medicine, CHUV-University Hospital,
Lausanne, Switzerland. 14 Intensive Care Unit, Centre Hospitalier de Versailles,
Le Chesnay, France. 15 Department of Intensive Care, Cliniques Universitaires
Saint‑Luc, Université Catholique de Louvain, Brussels, Belgium. 16 Medical
Intensive Care Unit, AP‑HP, European Georges Pompidou Hospital, Paris
Descartes University and Sorbonne Paris Cité-Medical School, Paris, France. 17 Department of Intensive Care, Cliniques Universitaires Saint‑Luc, Université
Catholique de Louvain Brussels, Brussels, Belgium. Finally, the wishes expressed by the patient (antici-
patively) or by the relatives have clearly to be taken
into account. The treatment-withdrawal modalities will
clearly be also be influenced by these opinions. When the
decision is made to stop the cares in the operating room,
it is with the objective that cardiocirculatory death would
occur in a delay shorter than one hour and that the pro-
cedure of donation would be successful. Abbreviations
G aEEG: continuous and simplified EEG-montage with two channels in com‑
bination with amplitude integrated trend analysis; AED: automated external
defibrillators; ALS: advanced life support; BLS: basic life support; CA: cardiac
arrest; CCPR: conventional CPR; cEEG: continuous electroencephalography;
CPR: cardio-pulmonary resuscitation; DBD: donation after brain death; DCD:
donation after cardiocirculatory death; DNAR: do-not-attempt-resuscitation;
ECPR: extracorporeal CPR; EMS: emergency medical services; ETI: endotra‑
cheal intubation; FOUR: full outline of unresponsiveness; GCS: Glasgow coma
score; ICU: intensive care unit; IHCA: in-hospital cardiac arrest; MCS: minimally
conscious state; MET: medical emergency team; MTH: mild therapeutic hypo‑
thermia; NIRS: near-infrared spectrophotometry; OHCA: out-hospital-cardiac
arrest; PCI: percutaneous coronary intervention; PE: pulmonary embolism;
PEA: pulseless electrical activity; PVS: persistent vegetative state; ROSC: return
of spontaneous circulation; RRS: rapid response systems; TH: therapeutic
hypothermia; TTM: targeted temperature management; UWS: unresponsive
wakefulness syndrome; VF: ventricular fibrillation; WLST: withdrawal of life-
sustaining therapy. Another difficult ethical issue is the dying process itself. It remains difficult to predict the time to death by circu-
latory arrest after the withdrawal of the life-sustaining
treatments. When organ donation is not considered, the
patient is dying in the ICU, while in case of DCD, death
will occur in the operating room, with ideally a short
period of hypotension in order to prevent organ damages. But in fact, the dying process has already started several
hours or days before the final decision in the ICU. The
vision that the DCD procedure could hasten the patient’s
death is not totally true, but there are still different per-
ceptions among the ICU physicians. Some of them feel
that when comfort therapy with potent sedatives and
analgesics (“palliative sedation”) is started in the ICU, the
priority is to give a lot of time to the family to accompany
the dying person. Other ICU physicians or even scientific
societies consider that shortening the dying process with
use of medications may sometimes be appropriate, even
in the absence of discomfort, and can actually improve
the quality of dying. Most of the families express the
opinion that the priority should be that the patient would
die peacefully, the duration of the dying process being of
secondary importance. This is a key issue in the debate
“taking care of the patient or taking care of the organs?”
[178]. Authors’ contributions PFL and JLD were responsible for the organization of the meeting, for the
collection of the summaries, and for the redaction of the Introduction and
Conclusion sections, as well as for structuring the Review. PJK, CS, HRD, BWB,
AC, KS, MD, FST, ND, HF, SL, DL, MO, SL, and PH were responsible for individual
presentation and for redaction of the corresponding summaries. All authors
read and approved the final manuscript. ub
a t
a
Stopping cares leads to organ donation? Philippe Hantson There is still currently a shortage of
organs for transplantation and accordingly, different strat-
egies have been developed, including the possibility of
organ donation after cardiocirculatory death (DCD) as
opposed to donation after brain death (DBD). Following
the Maastricht workshop on non-heart beating donation
in 1995, several categories of donors have been identified,
but the acceptance of such procedures still varies largely
among the different European countries. There is no doubt
that the ratio DCD/DBD will continue to increase over
time. The ICUs are mainly concerned by categories II (unsuc-
cessful resuscitation) and III (awaiting cardiac arrest). Category III is a controllable situation that could be man-
aged either in the ICU or in the operating room. The pos-
sibility of organ donation under category III is also linked
to ethical discussions regarding the management of the
“end of life”, with a clear distinction between the concepts
of euthanasia and withdrawal/withholding of some spe-
cific cares [177].i Fig. 10 Assessment of health condition in the long-term follow-up
after cardiac arrest (adapted from World Health Organization [171]) i
In contrast to DBD where specific protocols are now
well accepted, there is a great variability for the DCD
protocols regarding the criteria for the determination of
death, but also for the definition of the “no-touch” period. This latter corresponds to the time period between deter-
mination of death and initiation of organ procurement,
and should be theoretically kept as short as possible in
order to prevent warm ischemia. Page 18 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 cares orientated to the patient and the cares given to the
organs. The main ethical difficulties are related to the perceived
possibility of conflict of interest for the ICU physician
who in one hand could take the decision to withdraw
or withhold some specific care, and in a next step could
also be authorized to take the decision of organ donation
in the same patient. The separation (in time and space)
between the two processes is absolutely mandatory. There is a need of full confidence between all the mem-
bers of the ICU staff taking care of the patient, so that
each individual could be convinced that the treatment-
withdrawal decision is always made independently from
any considerations about the potential of subsequent
organ donation. Compliance with ethical guidelines In conclusion, organ procurement under Maastricht
III category will remain a sensitive issue as no protocol
is widely accepted. Each centre has the responsibility to
initiate the debate between all the participants involved
in critical care and organ transplantation. The main per-
ceived risk is the abolition of the frontier between the References 14. Hillman K, Chen J, Cretikos M, Bellomo R, Brown D, Doig G, Finfer S, Fla‑
bouris A. Introduction of the medical emergency team (MET) system: a
cluster-randomised controlled trial. Lancet. 2005;365:2091–7. 1. Cobb LA, Fahrenbruch CE, Olsufka M, Copass MK. Changing inci‑
dence of out-of-hospital ventricular fibrillation, 1980–2000. JAMA. 2002;288:3008–13. 15. Sandroni C, Cavallaro F. Failure of the afferent limb: a persistent problem
in rapid response systems. Resuscitation. 2011;82:797–8. 2. Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Blaha MJ, Dai S,
Ford ES, Fox CS, Franco S, Fullerton HJ, Gillespie C, Hailpern SM, Heit JA,
Howard VJ, Huffman MD, Judd SE, Kissela BM, Kittner SJ, Lackland DT,
Lichtman JH, Lisabeth LD, Mackey RH, Magid DJ, Marcus GM, Marelli A,
Matchar DB, McGuire DK, Mohler ER 3rd, Moy CS, Mussolino ME, Neu‑
mar RW, Nichol G, Pandey DK, Paynter NP, Reeves MJ, Sorlie PD, Stein J,
Towfighi A, Turan TN, Virani SS, Wong ND, Woo D, Turner MB, American
Heart Association Statistics Committee and Stroke Statistics Subcom‑
mittee. Heart disease and stroke statistics—2014 update. Circulation. 2014;129:e28–292. 16. Wnent J, Bohn A, Seewald S, Fischer M, Messelken M, Jantzen T, Gräsner
I, Gräsner JT. Bystander resuscitation: the impact of first aid on survival. Anasthesiol Intensivmed Notfallmed Schmerzther. 2013;48:562–5. 17. Wissenberg M, Lippert FK, Folke F, Weeke P, Hansen CM, Christensen
EF, Jans H, Hansen PA, Lang-Jensen T, Olesen JB, Lindhardsen J, Fosbol
EL, Nielsen SL, Gislason GH, Kober L, Torp-Pedersen C. Association of
national initiatives to improve cardiac arrest management with rates of
bystander intervention and patient survival after out-of-hospital cardiac
arrest. JAMA. 2013;310:1377–84. 3. Beredowski J, Berg RA, Tijsse JGP, Koster RW. Global incidences of out-
of-hospital cardiac arrest and survival rates: systematic review of 67
prospective studies. Resuscitation. 2010;81:1479–87. 18. Stiell IG, Brown SP, Christenson J, Cheskes S, Nichol G, Powell J, Bigham
B, Morrison LJ, Larsen J, Hess E, Vaillancourt C, Davis DP, Callaway CW,
Resuscitation Outcomes Consortium (ROC) Investigators. What is the
role of chest compression depth during out-of-hospital cardiac arrest
resuscitation? Crit Care Med. 2012;40:1192–8. 3. Beredowski J, Berg RA, Tijsse JGP, Koster RW. Global incidences of out-
of-hospital cardiac arrest and survival rates: systematic review of 67
prospective studies. Resuscitation. 2010;81:1479–87. 4. Dumas F, Cariou A, Manzo-Silberman S, Grimaldi D, Vivien B, Ros‑
encher J, Empana JP, Carli P, Mira JP, Jouven X, Spaulding C. References Immediate
percutaneous coronary intervention is associated with better survival
after out-of-hospital cardiac arrest: insights from the PROCAT (Parisian
Region Out of Hospital Cardiac Arrest) Registry. Circ Cardiovasc Interv. 2010;3:200–7. 19. Idris AH, Guffey D, Aufderheide TP, Brown S, Morrison LJ, Nichols P,
Powell J, Daya M, Bigham BL, Atkins DL, Berg R, Davis D, Stiell I, Sopko
G, Nichol G, Resuscitation Outcomes Consortium (ROC) Investigators. Relationship between chest compression rates and outcomes from
cardiac arrest. Circulation. 2012;125:3004–12. 5. Nichol G, Thomas E, Callaway CW, Hedges J, Powell JL, Aufderheide
TP, Rea T, Lowe R, Brown T, Dreyer J, Davis D, Idris A, Stiell I, Resus‑
citation Outcomes Consortium Investigators. Regional variation
in out-of-hospital cardiac arrest incidence and outcome. JAMA. 2008;300:1423–31. 20. Berg RA, Sanders AB, Kern KB, Hilwig RW, Heidenreich JW, Porter ME,
Ewy GA. Adverse hemodynamic effects of interrupting chest compres‑
sions for rescue breathing during cardiopulmonary resuscitation for
ventricular fibrillation cardiac arrest. Circulation. 2001;104:2465–70. 21. Jennings PA, Cameron P, Walker T, Bernard S, Smith K. Out-of-hospital
cardiac arrest in Victoria: rural and urban outcomes. Med J Aust. 2006;185:135–9. 6. Nichol G, Rumsfeld J, Eigel B, Abella BS, Labarthe D, Hong Y, O’Connor
RE, Mosesso VN, Berg RA, Leeper BB, Weisfeldt ML, American Heart
Association Emergency Cardiovascular Care Committee, American
Heart Association Council on Cardiopulmonary, Perioperative, and
Critical Care, American Heart Association Council on Cardiovascular
Nursing, American Heart Association Council on Clinical Cardiology,
Quality of Care and Outcomes Research Interdisciplinary Working
Group. Essential features of designating out-of-hospital cardiac arrest
as a reportable event: a scientific statement from the American Heart
Association Emergency Cardiovascular Care Committee; Council on
Cardiopulmonary, Perioperative, and Critical Care; Council on Cardio‑
vascular Nursing; Council on Clinical Cardiology; and Quality of Care
and Outcomes Research Interdisciplinary Working Grou. Circulation. 2008;117:2299–308. 22. Wang HE, Szydlo D, Stouffer JA, Lin S, Carlson JN, Vaillancourt C, Sears
G, Verbeek RP, Fowler R, Idris AH, Koenig K, Christenson J, Minokadeh
A, Brandt J, Rea T, ROC Investigators. Endotracheal intubation versus
supraglottic airway insertion in out-of-hospital cardiac arrest. Resuscita‑
tion. 2012;83:1061–6. 23. Hagihara A, Hasegawa M, Abe T, Nagata T, Nabeshima Y. Physician
presence in an ambulance car is associated with increased survival in
out-of-hospital cardiac arrest: a prospective cohort analysis. PLoS One. 2014;9:e84424. 24. Fischer M, Krep H, Wierich D, Heister U, Hoeft A, Edwards S, Castrillo-
Riesgo LG, Krafft T. References Comparison of the emergency medical services sys‑
tems of Birmingham and Bonn: process efficacy and cost effectiveness. Anasthesiol Intensivmed Notfallmed Schmerzther. 2003;38:630–42. 7. Rea TD, Helbock M, Perry S, Garcia M, Cloyd D, Becker L, Eisenberg M. Increasing use of cardiopulmonary resuscitation during out-of-hospital
ventricular fibrillation arrest: survival implications of guideline changes. Circulation. 2006;114:2760–5. 25. Nolan JP, Neumar RW, Adrie C, Aibiki M, Berg RA, Böttiger BW, Callaway
C, Clark RS, Geocadin RG, Jauch EC, Kern KB, Laurent I, Longstreth WT,
Merchant RM, Morley P, Morrison LJ, Nadkarni V, Peberdy MA, Rivers EP,
Rodriguez-Nunez A, Sellke FW, Spaulding C, Sunde K, Hoek TV. Post-
cardiac arrest syndrome: epidemiology, pathophysiology, treatment,
and prognostication. A Scientific Statement from the International
Liaison Committee on Resuscitation; the American Heart Association
Emergency Cardiovascular Care Committee; the Council on Cardio‑
vascular Surgery and Anesthesia; the Council on Cardiopulmonary,
Perioperative, and Critical Care; the Council on Clinical Cardiology; the
Council on Stroke. Resuscitation. 2008;79:350–79. 8. Kudenchuk P, Redshaw JD, Stubbs BA, Fahrenbruch CE, Dumas F, Phelps
R, Blackwood J, Rea TD, Eisenberg MS. Impact of changes in resuscita‑
tion practice on survival and neurological outcome after out-of-hospi‑
tal cardiac arrest resulting from nonshockable arrhythmias. Circulation. 2012;125:1787–94. 9. Sandroni C, Nolan J, Cavallaro F, Antonelli M. In-hospital cardiac arrest:
incidence, prognosis and possible measures to improve survival. Inten‑
sive Care Med. 2007;33:237–45. 10. DeVita MA, Smith GB, Adam SK, Adams-Pizarro I, Buist M, Bellomo R,
Bonello R, Cerchiari E, Farlow B, Goldsmith D, Haskell H, Hillman K,
Howell M, Hravnak M, Hunt EA, Hvarfner A, Kellett J, Lighthall GK, Lip‑
pert A, Lippert FK, Mahroof R, Myers JS, Rosen M, Reynolds S, Rotondi A,
Rubulotta F, Winters B. “Identifying the hospitalised patient in crisis”—a
consensus conference on the afferent limb of rapid response systems. Resuscitation. 2010;81:375–82. 26. Spaulding CM, Joly LM, Rosenberg A, Monchi M, Weber SN, Dhainaut JF,
Carli P. Immediate coronary angiography in survivors of out-of-hospital
cardiac arrest. N Engl J Med. 1997;336:1629–33. 27. Strote JA, Maynard C, Olsufka M, Nichol G, Copass MK, Cobb LA, Kim F. Comparison of role of early (less than six hours) to later (more than six
hours) or no cardiac catheterization after resuscitation from out-of-
hospital cardiac arrest. Am J Cardiol. 2012;109:451–4. 11. Chalfin DB, Trzeciak S, Likourezos A, Baumann BM, Dellinger RP. Competing interests Competing interests
Hans Friberg has received lecture fees from Natus Inc. The other authors
reported no competing interests. Hans Friberg has received lecture fees from Natus Inc. The other authors
reported no competing interests. Received: 5 March 2015 Accepted: 18 August 2015 Page 19 of 24 Page 19 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 References Impact
of delayed transfer of critically ill patients from the emergency depart‑
ment to the intensive care unit. Crit Care Med. 2007;35:1477–83. 28. Hollenbeck RD, McPherson JA, Mooney MR, Unger BT, Patel NC, McMul‑
lan PW Jr, Hsu CH, Seder DB, Kern KB. Early cardiac catheterization is
associated with improved survival in comatose survivors of cardiac
arrest without STEMI. Resuscitation. 2014;85:88–95. 12. Chan PS, Khalid A, Longmore LS, Berg RA, Kosiborod M, Spertus JA. Hospital-wide code rates and mortality before and after implementa‑
tion of a rapid response team. JAMA. 2008;300:2506–13. 29. Wolfrum S, Pierau C, Radke PW, Schunkert H, Kurowski V. Mild therapeu‑
tic hypothermia in patients after out-of-hospital cardiac arrest due to
acute ST-segment elevation myocardial infarction undergoing immedi‑
ate percutaneous coronary intervention. Crit Care Med. 2008;36:1780–6. 13. Chan PS, Jain R, Nallmothu BK, Berg RA, Sasson C. Rapid response
teams: a systematic review and meta-analysis. Arch Intern Med. 2010;170:18–26. Page 20 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 30. Gräsner JT, Meybohm P, Caliebe A, Böttiger BW, Wnent J, Messelken M,
Jantzen T, Zeng T, Strickmann B, Bohn A, Fischer H, Scholz J, Fischer M,
German Resuscitation Registry Study Group. Postresuscitation care with
mild therapeutic hypothermia and coronary intervention after out-of-
hospital cardiopulmonary resuscitation: a prospective registry analysis. Crit Care. 2011;15:R61. 47. Paden ML, Conrad SA, Rycus PT, Thiagarajan RR, ELSO Registry. Extracorporeal life support organization registry report 2012. ASAIO J. 2013;59:202–10. 47. Paden ML, Conrad SA, Rycus PT, Thiagarajan RR, ELSO Registry 48. Centers for Disease Control and Prevention. Morbidity and mortality
weekly report. Surveill Summ. 2011;60:8. 49. Chen YS, Lin JW, Yu HY, Ko WJ, Jerng JS, Chang WT, Chen WJ, Huang
SC, Chi NH, Wang CH, Chen LC, Tsai PR, Wang SS, Hwang JJ, Lin FY. Cardiopulmonary resuscitation with assisted extracorporeal life-support
versus conventional cardiopulmonary resuscitation in adults with in-
hospital cardiac arrest: an observational study and propensity analysis. Lancet. 2008;372:554–62. 31. Dumas F, White L, Stubbs BA, Cariou A, Rea TD. Long-term prognosis
following resuscitation from out of hospital cardiac arrest: role of percu‑
taneous coronary intervention and therapeutic hypothermia. J Am Coll
Cardiol. 2012;60:21–7. 32. Diao M, Huang F, Guan J, Zhang Z, Xiao Y, Shan Y, Lin Z, Ding L. Prehospital therapeutic hypothermia after cardiac arrest: a systematic
review and meta-analysis of randomized controlled trials. Resuscitation. 2013;84:1021–8. 50. References Cave DM, Gazmuri RJ, Otto CW, Nadkarni VM, Cheng A, Brooks SC,
Daya M, Sutton RM, Branson R, Hazinski MF. Part 7: CPR techniques and
devices: 2010 American heart association guidelines for cardiopul‑
monary resuscitation and emergency cardiovascular care. Circulation. 2010;122:S720–8. 33. Kim F, Nichol G, Maynard C, Hallstrom A, Kudenchuk PJ, Rea T, Copass
MK, Carlbom D, Deem S, Longstreth WT Jr, Olsufka M, Cobb LA. Effect of
prehospital induction of mild hypothermia on survival and neurologi‑
cal status among adults with cardiac arrest: a randomized clinical trial. JAMA. 2014;311:45–52. 51. Nagao K, Kikushima K, Watanabe K, Tachibana E, Tominaga Y, Tada K,
Ishii M, Chiba N, Kasai A, Soga T, Matsuzaki M, Nishikawa K, Tateda Y,
Ikeda H, Yagi T. Early induction of hypothermia during cardiac arrest
improves neurological outcomes in patients with out-of-hospital
cardiac arrest who undergo emergency cardiopulmonary bypass and
percutaneous coronary intervention. Circ J. 2010;74:77–85. 34. Sunde K. SOPs and the right hospitals to improve outcome after cardiac
arrest. Best Pract Res Clin Anaesthesiol. 2013;27:373–81. 35. Chelly J, Mongardon N, Dumas F, Varenne O, Spaulding C, Vignaux O,
Carli P, Charpentier J, Pène F, Chiche J-D, Mira J-P, Cariou A. Benefit of
an early and systematic imaging procedure after cardiac arrest: insights
from the PROCAT (Parisian Region Out of Hospital Cardiac Arrest) regis‑
try. Resuscitation. 2012;83:1444–50. 52. Holzer M. Targeted temperature management for comatose survivors
of cardiac arrest. N Engl J Med. 2010;363:1256–64. 53. Bernard SA, Smith K, Cameron P, Masci K, Taylor DM, Cooper DJ, Kelly
AM, Silvester W, Rapid Infusion of Cold Hartmanns Investigators. Induc‑
tion of prehospital therapeutic hypothermia after resuscitation from
nonventricular fibrillation cardiac arrest. Crit Care Med. 2012;40:747–53. 36. Deakin CD, Morrisson LJ, Morley PT, Callaway CW, Kerber RE, Kronick SL,
Lavonas EJ, Link MS, Neumar RW, Otto CW, Parr M, Shuster M, Sunde
K, Peberdy MA, Tang, W, Vanden Hoeck TL, Böttiger BW, Drajer S, Lim
SH, Nolan JP, Advanced Life Support Chapter Collaborators. Part 8:
advanced life support: 2010 international consensus on cardiopulmo‑
nary resuscitation and emergency cardiovascular care science with
treatment recommendations. Resuscitation. 2010;81S:e93–174. 54. Kim F, Olsufka M, Carlbom D, Deem S, Longstreth WT Jr, Hanrahan M,
Maynard C, Copass MK, Cobb LA. Pilot study of rapid infusion of 2 L of 4
degrees C normal saline for induction of mild hypothermia in hospital‑
ized, comatose survivors of out-of-hospital cardiac arrest. Circulation. 2005;112:715–9. 55. References Kliegel A, Janata A, Wandaller C, Uray T, Spiel A, Losert H, Kliegel M,
Holzer M, Haugk M, Sterz F, Laggner AN. Cold infusions alone are effec‑
tive for induction of therapeutic hypothermia but do not keep patients
cool after cardiac arrest. Resuscitation. 2007;73:46–53. 37. Böttiger BW, Arntz HR, Chamberlain DA, Bluhmki E, Belmans A, Danays
T, Carli PA, Adgey JA, Bode C, Wenzel V, TROICA Trial Investigators,
European Resuscitation Council Study Group. Thrombolysis dur‑
ing resuscitation for out-of-hospital cardiac arrest. N Engl J Med. 2008;359:2651–62. 56. Yannopoulos D, Zviman M, Castro V, Kolandaivelu A, Ranjan R, Wilson
RF, Halperin HR. Intra-cardiopulmonary resuscitation hypothermia with
and without volume loading in an ischemic model of cardiac arrest. Circulation. 2009;120:1426–35. 38. Böttiger BW, Böhrer H, Bach A, Motsch J, Martin E. Bolus injection of
thrombolytic agents during cardiopulmonary resuscitation for massive
pulmonary embolism. Resuscitation. 1994;28:45–54. 39. Böttiger BW, Martin E. Thrombolytic therapy during cardiopulmonary
resuscitation and the role of coagulation activation after cardiac arrest. Curr Opin Crit Care. 2001;7:176–83. 57. Hoedemaekers CW, Ezzahti M, Gerritsen A, van der Hoeven JG. Comparison of cooling methods to induce and maintain normo- and
hypothermia in intensive care unit patients: a prospective intervention
study. Crit Care. 2007;11:R91. 40. Böttiger BW, Bode C, Kern S, Gries A, Gust R, Glätzer R, Bauer H, Motsch
J, Martin E. Efficacy and safety of thrombolytic therapy after initially
unsuccessful cardiopulmonary resuscitation: a prospective clinical trial. Lancet. 2001;357:1583–5. 58. Taccone FS, Donadello K, Beumier M, Scolletta S. When, where and how
to initiate hypothermia after adult cardiac arrest. Minerva Anestesiol. 2011;77:927–33. 41. Lederer W, Lichtenberger C, Pechlaner C, Kroesen G, Baubin M. Recom‑
binant tissue plasminogen activator during cardiopulmonary resuscita‑
tion in 108 patients with out-of-hospital cardiac arrest. Resuscitation. 2001;50:71–6. 59. Merchant RM, Abella BS, Peberdy MA, Soar J, Ong ME, Schmidt GA,
Becker LB, Vanden Hoek TL. Therapeutic hypothermia after cardiac
arrest: unintentional overcooling is common using ice packs and
conventional cooling blankets. Crit Care Med. 2006;34:S490–4. 42. Nolan JP, Soar J, Zideman DA, Biarent D, Bossaert LL, Deakin C, Koster
RW, Wyllie J, Böttiger B, ERC Guidelines Writing Group. European resus‑
citation council guidelines for resuscitation 2010 section 1. Executive
summary. Resuscitation. 2010;81:1219–76. 60. Uray T, Haugk M, Sterz F, Arrich J, Richling N, Janata A, Holzer M,
Behringer W. Surface cooling for rapid induction of mild hypothermia
after cardiac arrest: design determines efficacy. Acad Emerg Med. 2010;17:360–7. 61. References Wang H, Olivero W, Lanzino G, Elkins W, Rose J, Honings D, Rodde
M, Burnham J, Wang D. Rapid and selective cerebral hypothermia
achieved using a cooling helmet. J Neurosurg. 2004;100:272–7. 43. Nolan JP, Perkins GD. Is there a role for adrenaline during cardiopulmo‑
nary resuscitation? Curr Opin Crit Care. 2013;19:169–74. 44. Reynolds JC, Frisch A, Rittenberger J, Callaway C. Duration of resuscita‑
tion efforts and functional outcome after out-of-hospital cardiac
arrest: when should we change to novel therapies? Circulation. 2013;128:2488–94. 62. Busch HJ, Eichwede F, Födisch M, Taccone FS, Wöbker G, Schwab T,
Hopf HB, Tonner P, Hachimi-Idrissi S, Martens P, Fritz H, Bode Ch, Vincent
JL, Inderbitzen B, Barbut D, Sterz F, Janata A. Safety and feasibility of
nasopharyngeal evaporative cooling in the emergency department
setting in survivors of cardiac arrest. Resuscitation. 2010;81:943–9. 45. Kitamura T, Iwami T, Kawamura T, Nagao K, Tanaka H, Berg RA, Hiraide
A, Implementation Working Group for All-Japan Utstein Registry of the
Fire and Disaster Management Agency. Time-dependent effectiveness
of chest compression-only and conventional cardiopulmonary resusci‑
tation for out-of-hospital cardiac arrest of cardiac origin. Resuscitation. 2011;82:3–9. 63. Castrén M, Nordberg P, Svensson L, Taccone F, Vincent JL, Desruelles D,
Eichwede F, Mols P, Schwab T, Vergnion M, Storm C, Pesenti A, Pachl J,
Guérisse F, Elste T, Roessler M, Fritz H, Durnez P, Busch HJ, Inderbitzen
B, Barbut D. Intra-arrest transnasal evaporative cooling: a randomized,
prehospital, multicenter study (PRINCE: Pre-ROSC IntraNasal Cooling
Effectiveness). Circulation. 2010;122:729–36. 46. Tanno K, Itoh Y, Takeyama Y, Nara S, Mori K, Asai Y. Utstein style study
of cardiopulmonary bypass after cardiac arrest. Am J Emerg Med. 2008;26:649–54. Page 21 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 64. Fagnoul D, Taccone FS, Belhaj A, Rondelet B, Argacha JF, Vincent
JL, De Backer D. Extracorporeal life support associated with hypo‑
thermia and normoxemia in refractory cardiac arrest. Resuscitation. 2013;84:1519–24. 82. Mader TJ, Nathanson BH, Soares WE, Coute RA, McNally BF. Comparative
effectiveness of therapeutic hypothermia after out-of-hospital cardiac
arrest: insight from a large data registry. Ther Hypothermia Temp
Manag. 2014;4:21–31. 65. Laurent I, Adrie C, Vinsonneau C, Cariou A, Chiche JD, Ohanessian A,
Spaulding C, Carli P, Dhainaut JF, Monchi M. High-volume hemofiltra‑
tion after out-of-hospital cardiac arrest: a randomized study. J Am Coll
Cardiol. 2005;46:432–7. 83. Lindner TW, Langorgen J, Sunde K, Larsen AI, Kvaloy JT, Heltne JK,
Draegni T, Soreide E. References Våga A, Busch M, Karlsen TE, Nilsen OB, Søreide E. A pilot study of key
nursing aspects with different cooling methods and devices in the ICU. Resuscitation. 2008;76:25–30. 71. Suh GJ, Kwon WY, Kim KS, Lee HJ, Jeong KY, Jung YS, Lee JH. Prolonged
therapeutic hypothermia is more effective in attenuating brain apopto‑
sis in a swine cardiac arrest model. Crit Care Med. 2014;42:e132–42. 87. Nielsen N, Sunde K, Hovdenes J, Riker RR, Rubertsson S, Stammet P,
Nilsson F, Friberg H, Hypothermia Network. Adverse events and their
relation to mortality in out-of-hospital cardiac arrest patients treated
with therapeutic hypothermia. Crit Care Med. 2011;39:57–64. 72. Morrisson LJ, Deakin CD, Morley PT, Callaway CW, Kerber RE, Kronick
SL, Lavonas EJ, Link MS, Neumar RW, Otto CW, Parr M, Shuster M,
Sunde K, Peberdy MA, Tang W, VandenHoek TL, Böttiger BW, Drajer S,
Lim HS, Nolan JP, Advanced Life Support Chapter Collaborators. Part 8:
Advanced Life Support: 2010 International Consensus on Cardiopulmo‑
nary Resuscitation and Emergency Cardiovascular Care Science With
Treatment Recommendations. Circulation. 2010;122:S345–421. 88. Arrich J, Holzer M, Havel C, Müllner M, Herkner H. Hypothermia for neu‑
roprotection in adults after cardiopulmonary resuscitation. Cochrane
Database Syst Rev. 2012;9:CD004128. 89. Cueni-Villoz N, Devigili A, Delodder F, Cianferoni S, Feihl F, Rossetti AO,
Eggimann P, Vincent JL, Taccone FS, Oddo M. Increased blood glucose
variability during therapeutic hypothermia and outcome after cardiac
arrest. Crit Care Med. 2011;39:2225–31. 73. Nunnally ME, Jaeschke R, Bellingan GJ, Lacroix J, Mourvillier B,
Rodriguez-Vega GM, Rubertsson S, Vassilakopoulos T, Weinert C,
Zanotti-Cavazzoni S, Buchman TG. Targeted temperature management
in critical care: a report and recommendations from five professional
societies. Crit Care Med. 2011;39:1113–25. 90. Daviaud F, Dumas F, Demars N, Geri G, Bouglé A, Morichau-Beauchant T,
Nguyen YL, Bougouin W, Pène F, Charpentier J, Cariou A. Blood glucose
level and outcome after cardiac arrest: insights from a large registry in
the hypothermia era. Intensive Care Med. 2014;40:855–62. 74. Deye N, Arrich J, Cariou A. To cool or not to cool non-shockable CA
patients: it is time for randomized controlled trials. Intensive Care Med. 2013;39:966–9. 91. Hypothermia after Cardiac Arrest Study G. Mild therapeutic hypother‑
mia to improve the neurologic outcome after cardiac arrest. N Engl J
Med. 2002;346:549–56. 75. Bougouin W, Lamhaut L, Marijon E, Jost D, Deye N, Chazelle E, Dumas
F, Jouven X, Cariou A for the CEMS investigators. References Characteristics and
prognosis of sudden cardiac death in Greater Paris: population-based
approach from the Paris Sudden Death Expertise Center. Intensive Care
Med. 2014;40:846–54. 92. Nielsen N, Friberg H, Gluud C, Herlitz J, Wetterslev J. Hypothermia after
cardiac arrest should be further evaluated—a systematic review of
randomised trials with meta-analysis and trial sequential analysis. Int J
Cardiol. 2011;151:333–41. 93. Nielsen N, Wetterslev J, Al-Subaie N, Andersson B, Bro-Jeppesen J,
Bishop G, Brunetti I, Cranshaw J, Cronberg T, Edqvist K, Erlinge D,
Gasche Y, Glover G, Hassager C, Horn J, Hovdenes J, Johnsson J,
Kjaergaard J, Kuiper M, Langorgen J, Macken L, Martinell L, Martner P,
Pellis T, Pelosi P, Petersen P, Persson S, Rundgren M, Saxena M, Svensson
R, Stammet P, Thoren A, Unden J, Walden A, Wallskog J, Wanscher M,
Wise MP, Wyon N, Aneman A, Friberg H. Target temperature manage‑
ment after out-of-hospital cardiac arrest—a randomized, parallel-
group, assessor-blinded clinical trial–rationale and design. Am Heart J. 2012;163:541–8. 76. Nielsen N, Hovdenes J, Nilsson F, Rubertsson S, Stammet P, Sunde K,
Valsson F, Wanscher M, Friberg H, Hypothermia Network. Outcome,
timing and adverse events in therapeutic hypothermia after out-of-
hospital cardiac arrest. Acta Anaesthesiol Scand. 2009;53:926–34. 77. Dumas F, Rea TD. Long term prognosis following resuscitation from
OHCA: role of aetiology and presenting arrest rhythm. Resuscitation. 2012;83:1001–5. 78. Jacobs SE, Berg M, Hunt R, Tarnow-Mordi WO, Inder TE, Davis PG. Cool‑
ing for newborns with hypoxic-ischemic encephalopathy (Review). Cochrane Database Syst Rev. 2013;1:CD003311. 94. Nielsen N, Winkel P, Cronberg T, Erlinge D, Friberg H, Gasche Y, Hassager
C, Horn J, Hovdenes J, Kjaergaard J, Kuiper M, Pellis T, Stammet P, Wan‑
scher M, Wise MP, Aneman A, Wetterslev J. Detailed statistical analysis
plan for the target temperature management after out-of-hospital
cardiac arrest trial. Trials. 2013;14:300. 79. Geurts M, Macleod MR, Kollmar R, Kremer PH, van der Worp HB. Thera‑
peutic hypothermia and the risk of infection: a systematic review and
meta-analysis. Crit Care Med. 2014;42:231–42. 80. Vaahersalo J, Hiltunen P, Tiainen M, Oksanen T, Kaukonen KM, Kurola J,
Ruokonen E, Tenhunen J, Ala-Kokko T, Lund V, Reinikainen M, Kiviniemi
O, Silfvast T, Kuisma M, Varpula T, Pettilä V, The FINNRESUSCI Study
Group. Therapeutic hypothermia after out-of-hospital cardiac arrest
in Finnish Intensive Care Units: the FINNRESUSCI Study. Intensive Care
Med. 2013;39:826–37. 95. References Factors predicting the use of TH and survival in
unconscious out-of-hospital cardiac arrest patients admitted to the ICU. Crit Care. 2013;17:R147. 66. de Waard MC, Biermann H, Brinckman SL, Appelman YE, Driessen RH,
Polderman KH, Girbes AR, Beishuizen A. Automated peritoneal lavage:
an extremely rapid and safe way to induce hypothermia in post-resusc
tation patients. Crit Care. 2013;17:R31. 84. Lee BH, Inui D, Suh GY, Kim JY, Kwon JY, Park J, Tada K, Tanaka K,
Ietsugu K, Uehara K, Dote K, Tajimi K, Morita K, Matsuo K, Hoshino K,
Hosokawa K, Lee KH, Lee KM, Takatori M, Nishimura M, Sanui M, Ito M,
Egi M, Honda N, Okayama N, Shime N, Tsuruta R, Nogami S, Yoon SH,
Fujitani S, Koh SO, Takeda S, Saito S, Hong SJ, Yamamoto T, Yokoyama T,
Yamaguchi T, Nishiyama T, Igarashi T, Kakihana Y, Koh Y. The Fever and
Antipyretic in Critically ill patients Evaluation (FACE) Study Group. Crit
Care. 2012;16:R33. 67. Tømte Ø, Drægni T, Mangschau A, Jacobsen D, Auestad B, Sunde K. A
comparison of intravascular and surface cooling techniques in coma‑
tose cardiac arrest survivors. Crit Care Med. 2011;39:443–9. 68. Holzer M, Müllner M, Sterz F, Robak O, Kliegel A, Losert H, Sodeck G,
Uray T, Zeiner A, Laggner AN. Efficacy and safety of endovascular cool‑
ing after cardiac arrest: cohort study and Bayesian approach. Stroke. 2006;37:1792–7. 85. Gebhardt K, Guyette FX, Doshi AA, Callaway CW, Rittenberger JC, The
Post CA Service. Prevalence and effect of fever on outcome following
resuscitation from CA. Resuscitation. 2013;84:1062–7. 69. Rana M, Schröder JW, Saygili E, Hameed U, Benke D, Hoffmann R,
Schauerte P, Marx N, Rana OR. Comparative evaluation of the usability
of 2 different methods to perform mild hypothermia in patients with
out-of-hospital cardiac arrest. Int J Cardiol. 2011;152:321–6. 86. Nielsen N, Wetterslev J, Cronberg T, Erlinge D, Gasche Y, Hassager C,
Horn J, Hovdenes J, Kjaergaard J, Kuiper M, Pellis T, Stammet P, Wan‑
scher M, Wise MP, Åneman A, Al-Subaie N, Boesgaard S, Bro-Jeppesen J,
Brunetti I, Bugge JF, Hingston CD, Juffermans NP, Koopmans M, Køber L,
Langørgen J, Lilja G, Møller JE, Rundgren M, Rylander C, Smid O, Werer
C, Winkel P, Friberg H, TTM Trial Investigators. Targeted temperature
management at 33 °C versus 36 °C after cardiac arrest. N Engl J Med. 2013;369:2197–206. f
out-of-hospital cardiac arrest. Int J Cardiol. 2011;152:321–6. 70. References Management of oxygen and carbon dioxide
pressure after cardiac arrest. Minerva Anestesiol. 2014;80:1–10. 119. Schmidt M, Marx T, Gloggl E, Reinelt H, Schirmer U. Xenon attenu‑
ates cerebral damage after ischemia in pigs. Anesthesiology. 2005;102:929–36. 101. Cornet AD, Kooter AJ, Peters MJL, Smulders YM. The potential harm of
oxygen therapy in medical emergencies. Crit Care. 2013;17:313. 120. Brucken A, Cizen A, Fera C, Meinhardt A, Weis J, Nolte K, Rossaint R, Pufe
T, Marx G, Fries M. Argon reduces neurohistopathological damage and
preserves functional recovery after cardiac arrest in rats. Br J Anaesth. 2013;110:i106–12. 102. Yeh ST, Aune SE, Wilgus TA, Parent AE, Angelos MG. Hyperoxemic rep‑
erfusion after prolonged cardiac arrest in a rat cardiopulmonary bypass
resuscitation model. Resuscitation. 2013;84:11–120. 103. Pilcher J, Weatherall M, Shirtcliffe P, Bellomo R, Young P, Beasley R. The
effect of hyperoxia following cardiac arrest—a systematic review and
meta-analysis of animal trials. Resuscitation. 2012;83:417–22. 121. Arola OJ, Laitio RM, Roine RO, Grönlund J, Saraste A, Pietilä M, Airaksinen
J, Perttilä J, Scheinin H, Olkkola KT, Maze M, Laitio TT. Feasibility and
cardiac safety of inhaled xenon in combination with therapeutic
hypothermia following out-of-hospital cardiac arrest. Crit Care Med. 2013;41:2116–24. 104. Spindelboeck W, Schindler O, Moser A, Hausler F, Wallner S, Strasser C,
Haas J, Gemes G, Prause G. Increasing arterial oxygen partial pressure
during cardiopulmonary resuscitation is associated with improved rates
of hospital admission. Resuscitation. 2013;84:770–5. 122. Ruscher K, Freyer D, Karsch M, Isaev N, Megow D, Sawitzki B, Priller J,
Dirnagl U, Meisel A. Erythropoietin is a paracrine mediator of ischemic
tolerance in the brain: evidence from an in vitro model. J Neurosci. 2002;22:10291–301. 105. Kuisma M, Boyd J, Voipio V, Alaspää A, Roine RO, Rosenberg P. Com‑
parison of 30 and the 100 % inspired oxygen concentrations during
early post-resuscitation period: a randomised controlled pilot study. Resuscitation. 2006;69:199–206. 123. Borovnik-Lesjak V, Whitehouse K, Baetiong A, Artin B, Radhakrishnan
J, Gazmuri RJ. High-dose erythropoietin during cardiac resuscitation
lessens postresuscitation myocardial stunning in swine. Transl Res. 2013;162:110–21. 106. Lee BK, Jeung KW, Lee HY, Lee SJ, Jung YH, Lee WK, Heo T, Min YI. Asso‑
ciation between mean arterial oxygen blood gas tension and outcome
in cardiac arrest patients treated with therapeutic hypothermia. Am J
Emerg Med. 2014;32:55–60. 124. Unden J, Sjolund C, Lansberg JK, Wieloch T, Ruscher K. References Annborn M, Bro-Jeppesen J, Nielsen N, Ullen S, Kjaergaard J, Hassager C,
Wanscher M, Hovdenes J, Pellis T, Pelosi P, Wise MP, Cronberg T, Erlinge
D, Friberg H. The TTMti: the association of targeted temperature man‑
agement at 33 and 36 degrees C with outcome in patients with moder‑
ate shock on admission after out-of-hospital cardiac arrest: a post hoc
analysis of the Target Temperature Management trial. Intensive Care
Med. 2014;40:1210–9. 81. Pfeifer R, Jung C, Purle S, Lauten A, Yilmaz L, Surber R, Ferrari M, Figulla
HR. Survival does not improve when therapeutic hypothermia is added
to post-cardiac care. Resuscitation. 2011;82:1168–73. Page 22 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 Page 22 of 24 96. Polderman KH. Mechanisms of action, physiological effects, and com‑
plications of hypothermia. Crit Care Med. 2009;37:S186–202. 115. Longstreth WT Jr, Fahrenbruch CE, Olsufka M, Walsh TR, Copass MK,
Cobb LA. Randomized clinical trial of magnesium, diazepam, or both
after out-of-hospital cardiac arrest. Neurology. 2002;59:506–14. 97. Roberts BW, Kilgannon JH, Chansky ME, Mittal N, Wooden J, Trzeciak
S. Association between postresuscitation partial pressure of arterial
carbon dioxide and neurological outcome in patients with post-cardiac
arrest syndrome: clinical perspective. Circulation. 2013;127:2107–13. 116. Meloni BP, Campbell K, Zhu H, Knuckey NW. In search of clinical neu‑
roprotection after brain ischemia: the case for mild hypothermia (35
degrees C) and magnesium. Stroke. 2009;40:2236–40. 98. Kilgannon JH, Jones AE, Shapiro NI, Angelos MG, Milcarek B, Hunter K,
Parrillo JE, Trzeciak S, Emergency Medicine Shock Research Network
(EMShockNet) Investigators. Association between arterial hyperoxia fol‑
lowing resuscitation from cardiac arrest and in-hospital mortality. JAMA. 2010;303:2165–71. 117. Dorhout Mees SM, Algra A, Vandertop WP, van Kooten F, Kuijsten HA,
Boiten J, van Oostenbrugge RJ, Al-Shahi Salman R, Lavados PM, Rinkel
GJ, van den Bergh WM, MASH-2 Study Group. Magnesium for aneurys‑
mal subarachnoid haemorrhage (MASH-2): a randomised placebo-
controlled trial. Lancet. 2012;380:44–9. 99. Wang CH, Chang WT, Huang CH, Tsai MS, Yu PH, Wang AY, Chen NC,
Chen WJ. The effect of hyperoxia on survival following adult cardiac
arrest: a systematic review and meta-analysis of observational studies. Resuscitation. 2014;85:1142–8. 118. Temkin NR, Anderson GD, Winn HR, Ellenbogen RG, Britz GW, Schuster
J, Lucas T, Newell DW, Mansfield PN, Machamer JE, Barber J, Dikmen SS. Magnesium sulfate for neuroprotection after traumatic brain injury: a
randomised controlled trial. Lancet Neurol. 2007;6:29–38. 100. Sandroni C, D’Arrigo S. References Romner B Post-
ischemic continuous infusion of erythropoietin enhances recovery of
lost memory function after global cerebral ischemia in the rat. BMC
Neurosci. 2013;14:27. 107. Vaahersalo J, Bendel S, Reinikainen M, Kurola J, Tiainen M, Raj R, Pettilä
V, Varpula T, Skrifvars MB, FINNRESUSCI Study Group. Arterial blood
gas tensions after resuscitation from out-of-hospital cardiac arrest:
associations with long-term neurologic outcome. Crit Care Med. 2014;42:1463–70. 125. Grmec S, Strnad M, Kupnik D, Sinkovic A, Gazmuri RJ. Erythropoietin
facilitates the return of spontaneous circulation and survival in victims
of out-of-hospital cardiac arrest. Resuscitation. 2009;80:631–7. 108. Voicu S, Deye N, Malissin I, Vigué B, Brun PY, Haik W, Champion S,
Megarbane B, Sideris G, Mebazaa A, Carli P, Manivet P, Baud FJ. Influence
of α-stat and pH–stat blood gas management strategies on cerebral
blood flow and oxygenation in patients treated with therapeutic hypo‑
thermia after out-of-hospital cardiac arrest: a crossover study. Crit Care
Med. 2014;42:1849–61. 126. Cariou A, Claessens YE, Pene F, Marx JS, Spaulding C, Hababou C,
Casadevall N, Mira JP, Carli P, Hermine O. Early high-dose erythropoi‑
etin therapy and hypothermia after out-of-hospital cardiac arrest: a
matched control study. Resuscitation. 2008;76:397–404. 127. Elrod JW, Molkentin JD. Physiologic functions of cyclophilin D and the
mitochondrial permeability transition pore. Circ J. 2013;77:1111–22. 109. Schneider AG, Eastwood GM, Bellomo R, Bailey M, Lipcsey M, Pilcher
D, Young P, Stow P, Santamaria J, Stachowski E, Suzuki S, Woinarski
NC, Pilcher J. Arterial carbon dioxide tension and outcome in patients
admitted to the intensive care unit after cardiac arrest. Resuscitation. 2013;84:927–34. 128. Huang CH, Tsai MS, Hsu CY, Su YJ, Wang TD, Chang WT, Chen WJ. Post-
cardiac arrest myocardial dysfunction is improved with cyclosporine
treatment at onset of resuscitation but not in the reperfusion phase. Resuscitation. 2011;82:S41–7. 129. Piot C, Croisille P, Staat P, Thibault H, Rioufol G, Mewton N, Elbelghiti R,
Cung TT, Bonnefoy E, Angoulvant D, Macia C, Raczka F, Sportouch C,
Gahide G, Finet G, André-Fouët X, Revel D, Kirkorian G, Monassier JP,
Derumeaux G, Ovize M. Effect of cyclosporine on reperfusion injury in
acute myocardial infarction. N Engl J Med. 2008;359:473–81. 110. Roberts BW, Kilgannon JH, Chansky ME, Trzeciak S. Association between
initial prescribed minute ventilation and post-resuscitation partial
pressure of arterial carbon dioxide in patients with post-cardiac arrest
syndrome. Ann Intensive Care. 2014;4:9. y
111. Dell’Anna AM, Scolletta S, Donadello K, Taccone FS. Early neuroprotec‑
tion after cardiac arrest. References Curr Opin Crit Care. 2014;20:250–8. 130. Kohr MJ, Sun J, Aponte A, Wang G, Gucek M, Murphy E, Steenbergen
C. Simultaneous measurement of protein oxidation and S-nitrosylation
during preconditioning and ischemia/reperfusion injury with resin-
assisted capture. Circ Res. 2011;108:418–26. 112. Wiklund L, Martijn C, Miclescu A, Semenas E, Rubertsson S, Sharma
HS. Central nervous tissue damage after hypoxia and reperfusion in
conjunction with cardiac arrest and cardiopulmonary resuscitation:
mechanisms of action and possibilities for mitigation. Int Rev Neuro‑
biol. 2012;02:173–87. 131. Dezfulian C, Shiva S, Alekseyenko A, Pendyal A, Beiser DG, Munasin‑
ghe JP, Anderson SA, Chesley CF, Vanden Hoek TL, Gladwin MT. Nitrite
therapy after cardiac arrest reduces reactive oxygen species generation,
improves cardiac and neurological function, and enhances survival
via reversible inhibition of mitochondrial complex I. Circulation. 2009;120:897–905. 113. Mangus DB, Huang L, Applegate PM, Gatling JW, Zhang J, Applegate
RL 2nd. A systematic review of neuroprotective strategies after cardiac
arrest: from bench to bedside (Part I—protection via specific pathways). Med Gas Res. 2014;4:9. 132. Minamishima S, Kida K, Tokuda K, Wang H, Sips PY, Kosugi S, Mandeville
JB, Buys ES, Brouckaert P, Liu PK, Liu CH, Bloch KD, Ichinose F. Inhaled
nitric oxide improves outcomes after successful cardiopulmonary
resuscitation in mice. Circulation. 2011;124:1645–53. 114. Thel MC, Armstrong AL, McNulty SE, Califf RM, O’Connor CM. Ran‑
domised trial of magnesium in in-hospital cardiac arrest. Duke Internal
Medicine Housestaff. Lancet. 1997;350:1272–6. Page 23 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 133. Dezfulian C, Alekseyenko A, Dave KR, Raval AP, Do R, Kim F, Perez-Pinzon
MA. Nitrite therapy is neuroprotective and safe in cardiac arrest survi‑
vors. Nitric Oxide. 2012;26:241–50. 153. Taccone FS, Cronberg T, Friberg H, Greer D, Horn J, Oddo M, Scolletta S,
Vincent JL. How to assess prognosis after cardiac arrest and therapeutic
hypothermia. Crit Care. 2014;18:202. 154. Samaniego EA, Mlynash M, Caulfield AF, Eyngorn I, Wijman CA. Sedation
confounds outcome prediction in cardiac arrest survivors treated with
hypothermia. Neurocrit Care. 2011;15:113–9. 134. Mentzelopoulos SD, Malachias S, Chamos C, Konstantopoulos D,
Ntaidou T, Papastylianou A, Kolliantzaki I, Theodoridi M, Ischaki H,
Makris D, Zakynthinos E, Zintzaras E, Sourlas S, Aloizos S, Zakynthinos
SG. Vasopressin, steroids, and epinephrine and neurologically favorable
survival after in-hospital cardiac arrest: a randomized clinical trial. JAMA. 2013;310:270–9. 155. Kamps MJ, Horn J, Oddo M, Fugate JE, Storm C, Cronberg T, Wijman CA,
Wu O, Binnekade JM, Hoedemaekers CW. References Continuous
evaluation of neurological prognosis after cardiac arrest. Acta Anaes‑
thesiol Scand. 2013;57:6–15. 162. Hirsch LJ, LaRoche SM, Gaspard N, Gerard E, Svoronos A, Herman ST,
Mani R, Arif H, Jette N, Minazad Y, Kerrigan JF, Vespa P, Hantus S, Claas‑
sen J, Young GB, So E, Kaplan PW, Nuwer MR, Fountain NB, Drislane FW. American Clinical Neurophysiology Society’s Standardized Critical Care
EEG Terminology: 2012 version. J Clin Neurophysiol. 2013;30:1–27. 142. Noirhomme Q, Lehembre R, Lugo Zdel R, Lesenfants D, Luxen A,
Laureys S, Oddo M, Rossetti AO. Automated analysis of background EEG
and reactivity during therapeutic hypothermia in comatose patients
after cardiac arrest. Clin EEG Neurosci. 2014;45:6–13. EEG Terminology: 2012 version. J Clin Neurophysiol. 2013;30:1–27. 143. Casali AG, Gosseries O, Rosanova M, Boly M, Sarasso S, Casali KR,
Casarotto S, Bruno MA, Laureys S, Tononi G, Massimini M. A theoretically
based index of consciousness independent of sensory processing and
behavior. Sci Transl Med. 2013;5:198ra105. 163. Wijdicks EF, Hijdra A, Young GB, Bassetti CL, Wiebe S, Quality Standards
Subcommittee of the American Academy of N. Practice parameter:
prediction of outcome in comatose survivors after cardiopulmonary
resuscitation (an evidence-based review): report of the Quality Stand‑
ards Subcommittee of the American Academy of Neurology. Neurol‑
ogy. 2006;67:203–10. 144. Ma Y, Fei Z, Qu Y. Willful modulation of brain activity in disorders of
consciousness. N Engl J Med. 2010;362:579–89. 145. Laureys S, Schiff ND. Coma and consciousness: paradigms (re)framed
by neuroimaging. Neuroimage. 2012;61:478–91. 164. Rossetti AO, Oddo M, Logroscino G, Kaplan PW. Prognostication after
cardiac arrest and hypothermia: a prospective study. Ann Neurol. 2010;67:301–7. 146. Luyt CE, Galanaud D, Perlbarg V, Vanhaudenhuyse A, Stevens RD, Gupta
R, Besancenot H, Krainik A, Audibert G, Combes A, Chastre J, Benali H,
Laureys S, Puybasset L. Diffusion tensor imaging to predict long-term
outcome after cardiac arrest: a bicentric pilot study. Neuro Imaging
for Coma Emergence and Recovery Consortium. Anesthesiology. 2012;117:1311–21. 165. Friedman D, Claassen J, Hirsch LJ. Continuous electroencephalogram
monitoring in the intensive care unit. Anesth Analg. 2009;109:506–23. 166. Friberg H, Westhall E, Rosen I, Rundgren M, Nielsen N, Cronberg T. Clinical review: continuous and simplified electroencephalography to
monitor brain recovery after cardiac arrest. Crit Care. 2013;17:233. 167. Rundgren M, Westhall E, Cronberg T, Rosen I, Friberg H. Continu‑
ous amplitude-integrated electroencephalogram predicts outcome
in hypothermia-treated cardiac arrest patients. Crit Care Med. 2010;38:1838–44. 147. References Prognostication of neurologic
outcome in cardiac arrest patients after mild therapeutic hypother‑
mia: a meta-analysis of the current literature. Intensive Care Med. 2013;39:1671–82. 135. Pene F, Hyvernat H, Mallet V, Cariou A, Carli P, Spaulding C, Dugue MA,
Mira JP. Prognostic value of relative adrenal insufficiency after out-of-
hospital cardiac arrest. Intensive Care Med. 2005;31:627–33. 156. Sandroni C, Cavallaro F, Callaway CW, D’Arrigo S, Sanna T, Kuiper MA,
Biancone M, Della Marca G, Farcomeni A, Nolan JP. Predictors of poor
neurological outcome in adult comatose survivors of cardiac arrest:
a systematic review and meta-analysis. Part 2: patients treated with
therapeutic hypothermia. Resuscitation. 2013;84:1324–38. 136. Donadello K, Favory R, Salgado-Ribeiro D, Vincent JL, Gottin L, Scolletta
S, Creteur J, De Backer D, Taccone FS. Sublingual and muscular micro‑
circulatory alterations after cardiac arrest: a pilot study. Resuscitation. 2011;82:690–5. 137. Laureys S, Owen AM, Schiff ND. Brain function in coma, vegetative state,
and related disorders. Lancet Neurol. 2004;3:537–46. 157. Suys T, Bouzat P, Marques-Vidal P, Sala N, Payen JF, Rossetti AO, Oddo M. Automated quantitative pupillometry for the prognostication of coma
after cardiac arrest. Neurocrit Care. 2014;21:300–8. 138. Laureys S. Science and society: death, unconsciousness and the brain. Nat Rev Neurosci. 2005;6:899–909. 158. Greer DM, Yang J, Scripko PD, Sims JR, Cash S, Wu O, Hafler JP, Schoen‑
feld DA, Furie KL. Clinical examination for prognostication in comatose
cardiac arrest patients. Resuscitation. 2013;84:1546–51. 139. Laureys S, Celesia GG, Cohadon F, Lavrijsen J, León-Carrión J, Sannita
WG, Sazbon L, Schmutzhard E, von Wild KR, Zeman A, Dolce G. Unre‑
sponsive wakefulness syndrome: a new name for the vegetative state
or apallic syndrome. European Task Force on Disorders of Conscious‑
ness. BMC Med. 2010;8:68. 159. Oddo M, Rossetti AO. Early multimodal outcome prediction after
cardiac arrest in patients treated with hypothermia. Crit Care Med. 2014;42:1340–7. 160. Ben-Hamouda N, Taccone FS, Rossetti AO, Oddo M. Contemporary
approach to neurologic prognostication of coma after cardiac arrest. Chest. 2014;146:1375–86. 140. Giacino JT, Fins JJ, Laureys S, Schiff ND. Disorders of consciousness
after acquired brain injury: the state of the science. Nat Rev Neurol. 2014;10:99–114. 141. Bruno MA, Vanhaudenhuyse A, Thibaut A, Moonen G, Laureys S. From
unresponsive wakefulness to minimally conscious PLUS and functional
locked-in syndromes: recent advances in our understanding of disor‑
ders of consciousness. J Neurol. 2011;258:1373. 161. Friberg H, Rundgren M, Westhall E, Nielsen N, Cronberg T. References Stender J, Gosseries O, Bruno MA, Charland-Verville V, Vanhaudenhuyse
A, Demertzi A, Chatelle C, Thonnard M, Thibaut A, Heine L, Soddu A,
Boly M, Schnakers C, Gjedde A, Laureys S. Diagnostic precision of PET
imaging and functional MRI in disorders of consciousness: a clinical
validation study. Lancet. 2014;384:514–22. 168. Cronberg T, Westhall E, Friberg H. Is continuous EEG-monitoring value
for money for cardiac arrest patients in the intensive care unit? Resusci‑
tation. 2014;85:716–7. y
148. Gosseries O, Charland-Verville V, Thonnard M, Bodart O, Laureys S,
Demertzi A. Amantadine, apomorphine and zolpidem in the treatment
of disorders of consciousness. Curr Pharm Des. 2014;20:4167–84. 169. Moulaert VR, Verbunt JA, van Heugten CM, Wade DT. Cognitive impair‑
ments in survivors of out-of-hospital cardiac arrest: a systematic review. Resuscitation. 2009;80:297–305. 149. Thibaut A, Bruno MA, Ledoux D, Demertzi A, Laureys S. tDCS in patients
with disorders of consciousness: sham-controlled randomized double-
blind study. Neurology. 2014;82:1112–8. 170. Neumar RW, Nolan JP, Adrie C, Aibiki M, Berg RA, Böttiger BW, Callaway
C, Clark RS, Geocadin RG, Jauch EC, Kern KB, Laurent I, Longstreth WT
Jr, Merchant RM, Morley P, Morrison LJ, Nadkarni V, Peberdy MA, Rivers
EP, Rodriguez-Nunez A, Sellke FW, Spaulding C, Sunde K, Vanden Hoek
T. Post-cardiac arrest syndrome: epidemiology, pathophysiology, treat‑
ment, and prognostication. A consensus statement from the Interna‑
tional Liaison Committee on Resuscitation (American Heart Association,
Australian and New Zealand Council on Resuscitation, European Resus‑
citation Council, Heart and Stroke Foundation of Canada, InterAmerican
Heart Foundation, Resuscitation Council of Asia, and the Resuscitation
Council of Southern Africa); the American Heart Association Emergency y
y
150. Chatelle C, Majerus S, Whyte J, Laureys S, Schnakers C. A sensitive scale
to assess nociceptive pain in patients with disorders of consciousness. J
Neurol Neurosurg Psychiatry. 2012;83:1233–7. 151. Jox RJ, Bernat JL, Laureys S, Racine E. Disorders of consciousness:
responding to requests for novel diagnostic and therapeutic interven‑
tions. Lancet Neurol. 2012;11:732–8. 152. Demertzi A, Ledoux D, Bruno MA, Vanhaudenhuyse A, Gosseries O,
Soddu A, Schnakers C, Moonen G, Laureys S. Attitudes towards end-of-
life issues in disorders of consciousness: a European survey. J Neurol. 2011;258(6):1058–65. Page 24 of 24 Kudenchuk et al. Ann. Intensive Care (2015) 5:22 Cardiovascular Care Committee; the Council on Cardiovascular Surgery
and Anesthesia; the Council on Cardiopulmonary, Perioperative, and
Critical Care; the Council on Clinical Cardiology; and the Stroke Council. Circulation. 2008;118:2452–83. 176. 179. Wise MP, et al. Targeted temperature management after cardiac arrest:
certainties and uncertainties. Crit Care. 2014;18:459. 178. Graftieaux JP, Bollaert P-E, Haddad L, Kentish-Barnes N, Nitenberg G,
Robert R, Villers D, Dreyfuss D, ethics committee of the SRLF. Contribu‑
tion of the ethics committee of the French society of intensive care to
a scenario for the implementation of organ donation after Maastricht
III-type cardiac death in France. Ann Fr Anesth Rean. 2014;33:128–34. 177. Puybasset L, Bazin JE, Beloucif S, Bizouarn P, Crozier S, Devalois B, Eon
B, Fieux F, Gisquet E, Guibet-Lafaye C, Kentish N, Lienhart A, Nicolas-
Robin A, Otero Lopez M, Pelluchon C, Roussin F, Beydon L, Sfar (Comité
d’éthique ICARE). Critical appraisal of organ procurement under Maas‑
tricht 3 condition. Ann Fr Anesth Rean. 2014;33:102–27. 176. Claassen J, Taccone FS, Horn P, Holtkamp M, Stocchetti N, Oddo M.
Recommendations on the use of EEG monitoring in critically ill patients
consensus statement from the neurointensive care section of the
ESICM. Intensive Care Med. 2013;39:1337–51.
177. Puybasset L, Bazin JE, Beloucif S, Bizouarn P, Crozier S, Devalois B, Eon
B, Fieux F, Gisquet E, Guibet-Lafaye C, Kentish N, Lienhart A, Nicolas-
Robin A, Otero Lopez M, Pelluchon C, Roussin F, Beydon L, Sfar (Comité
d’éthique ICARE). Critical appraisal of organ procurement under Maas‑
tricht 3 condition. Ann Fr Anesth Rean. 2014;33:102–27.
178. Graftieaux JP, Bollaert P-E, Haddad L, Kentish-Barnes N, Nitenberg G,
Robert R, Villers D, Dreyfuss D, ethics committee of the SRLF. Contribu‑
tion of the ethics committee of the French society of intensive care to
a scenario for the implementation of organ donation after Maastricht
III-type cardiac death in France. Ann Fr Anesth Rean. 2014;33:128–34.
179. Wise MP, et al. Targeted temperature management after cardiac arrest:
certainties and uncertainties. Crit Care. 2014;18:459. References Claassen J, Taccone FS, Horn P, Holtkamp M, Stocchetti N, Oddo M. Recommendations on the use of EEG monitoring in critically ill patients:
consensus statement from the neurointensive care section of the
ESICM. Intensive Care Med. 2013;39:1337–51. Cardiovascular Care Committee; the Council on Cardiovascular Surgery
and Anesthesia; the Council on Cardiopulmonary, Perioperative, and
Critical Care; the Council on Clinical Cardiology; and the Stroke Council. Circulation. 2008;118:2452–83. 171. World Health Organization. How to use the ICF: a practical manual for
using the International Classification of Functioning, Disability and
Health (ICF). Geneva: WHO. Exposure draft for comment. 2013. http://
www.who.int/classifications/drafticfpracticalmanual.pdf. 177. Puybasset L, Bazin JE, Beloucif S, Bizouarn P, Crozier S, Devalois B, Eon
B, Fieux F, Gisquet E, Guibet-Lafaye C, Kentish N, Lienhart A, Nicolas-
Robin A, Otero Lopez M, Pelluchon C, Roussin F, Beydon L, Sfar (Comité
d’éthique ICARE). Critical appraisal of organ procurement under Maas‑
tricht 3 condition. Ann Fr Anesth Rean. 2014;33:102–27. 172. Kucukdeveci AA, Tennant A, Grimby G, Franchignoni F. Strategies for
assessment and outcome measurement in physical and rehabilitation
medicine: an educational review. J Rehabil Med. 2011;43:661–72. 178. Graftieaux JP, Bollaert P-E, Haddad L, Kentish-Barnes N, Nitenberg G,
Robert R, Villers D, Dreyfuss D, ethics committee of the SRLF. Contribu‑
tion of the ethics committee of the French society of intensive care to
a scenario for the implementation of organ donation after Maastricht
III-type cardiac death in France. Ann Fr Anesth Rean. 2014;33:128–34. 173. American Academy of Clinical Neuropsychology. Neuropsychology
model LCD taskforce. 2011. http://www.theaacn.org/userdocuments/
neuropsychology_model_lcd-1.pdf. 179. Wise MP, et al. Targeted temperature management after cardiac arrest:
certainties and uncertainties. Crit Care. 2014;18:459. 174. Rossetti AO, Logroscino G, Liaudet L, Ruffieux C, Ribordy V, Schaller MD,
Despland PA, Oddo M. Status epilepticus: an independent outcome
predictor after cerebral anoxia. Neurology. 2007;69:255–60. 175. Legriel S, Hilly-Ginoux J, Resche-Rigon M, Merceron S, Pinoteau J,
Henry-Lagarrigue M, Bruneel F, Nguyen A, Guezennec P, Troché G, Rich‑
ard O, Pico F, Bédos JP. Prognostic value of electrographic postanoxic
status epilepticus in comatose cardiac-arrest survivors in the therapeu‑
tic hypothermia era. Resuscitation. 2013;84:343–50.
|
https://openalex.org/W2897724477
|
https://link.springer.com/content/pdf/10.1007/s00429-018-1771-5.pdf
|
English
| null |
The orbitofrontal cortex projects to the parvafox nucleus of the ventrolateral hypothalamus and to its targets in the ventromedial periaqueductal grey matter
|
Brain structure & function
| 2,018
|
cc-by
| 18,169
|
Abstract Although connections between the orbitofrontal cortex (OFC)—the seat of high cognitive functions—the lateral hypothala-
mus and the periaqueductal grey (PAG) have been recognized in the past, the precise targets of the descending fibres have
not been identified. In the present study, viral tracer-transport experiments revealed neurons of the lateral (LO) and the ven-
trolateral (VLO) OFC (homologous to part of Area 13 in primates) to project to a circumscribed region in the ventrolateral
hypothalamus, namely, the horizontally oriented, cylindrical parvalbumin- and Foxb1-expressing (parvafox) nucleus. The
fine collaterals stem from coarse axons in the internal capsule and form excitatory synapses specifically with neurons of
the parvafox nucleus, avoiding the rest of the hypothalamus. In its further caudal course, this contingent of LO/VLO-axons
projects collaterals to the Su3- and the PV2 nuclei, which lie ventral to the aqueduct in the (PAG), where the terminals fields
overlap those deriving from the parvafox nucleus itself. The targeting of the parvafox nucleus by the LO/VLO-projections,
and the overlapping of their terminal fields within the PAG, suggest that the two cerebral sites interact closely. An involve-
ment of this LO/VLO-driven circuit in the somatic manifestation of behavioural events is conceivable. Keywords PV1 · Viral tracers · Su3 · PV2 · Somatic marker Keywords PV1 · Viral tracers · Su3 · PV2 · Somatic marker 1
Keywords PV1 · Viral tracers · Su3 · PV2 · Somatic marker
Abbreviations
3N
Oculomotor nucleus
3PC
Parvicellular part oculomotor nucleus
AAV
Adeno associated virus
AcbSh
Accumbens nucleus shell
AID
Agranular insular cortex, dorsal part
AIP
Agranular insular cortex, posterior part
AIV
Agranular insular cortex, ventral part
Amb
Ambiguus nucleus
BDA
Biotinylated dextrane
BLA
Basolateral amygdaloid nucleus anterior
part
Cb
Cerebellum
Cl
Claustrum
CM
Central thalamic nucleus
cpd
Cerebral peduncle
CPu
Cudatoputamen
DA8
Dopamine cells
DH
Dorsal horn spinal cord
DI
Dysgranular insular cortex
DLO
Dorsolateral orbital cortex
dlPAG
Dorsolateral PAG
DTG
Dorsal tegmental nucleus
DR
Dorsal raphe nucleus
Eth
Ethmoid thalamic nucleus
fmi
Forceps minor corpus callosum
FrA
Frontal association cortex
fv
Flat vesicles
Gem
Gemini hypothalamic nucleus
Electronic supplementary material The online version of this
article (https://doi.org/10.1007/s00429-018-1771-5) contains
supplementary material, which is available to authorized users. * Marco R. Celio
marco.celio@unifr.ch
1
Anatomy and Programme in Neuroscience, Faculty
of Science and Medicine, University of Fribourg, Rte. A. The orbitofrontal cortex projects to the parvafox nucleus
of the ventrolateral hypothalamus and to its targets
in the ventromedial periaqueductal grey matter Alexandre Babalian1 · Simone Eichenberger1 · Alessandro Bilella1 · Franck Girard1 · Viktoria Szabolcsi1 ·
Diana Roccaro1 · Gonzalo Alvarez‑Bolado2 · Chun Xu3 · Marco R. Celio1 Received: 14 February 2018 / Accepted: 5 October 2018 / Published online: 12 October 2018
© The Author(s) 2018 Brain Structure and Function (2019) 224:293–314
https://doi.org/10.1007/s00429-018-1771-5 Brain Structure and Function (2019) 224:293–314
https://doi.org/10.1007/s00429-018-1771-5 ORIGINAL ARTICLE ORIGINAL ARTICLE Abstract Gockel 1, 1700 Fribourg, Switzerland
2
Institute of Anatomy and Cell Biology, University
of Heidelberg, im Neuenheimer Feld 307, 69120 Heidelberg,
Germany
3
Friedrich Miescher Institute, Maulbeerstrasse 66, 4058 Basel,
Switzerland Brain Structure and Function (2019) 224:293–314 294 GFP
Green fluorescence protein
Gi
Gigantocellular reticular nucleus
GI
Granular insular cortex
GiA
Giggantocellular reticular nucleus alpha part
HDB
Nucleus of the horizontal limb of the diago-
nal band
IC
Inferior colliculus
IL
Infralimbic cortex
InG
Intermediate gray layer of the superior
colliculus
InWh
Intermediate white layer of the superior
colliculus
IRt
Intermediate reticular nucleus
isRT
Isthmic reticular formation
LDTg
Laterodorsal tegmental nucleus
scp
Superior cerebellar peduncle
Su3
Supraoculomotor periaqueductal grey
Sub
Submedius thalamic nucleus
TH
Thalamus
TO
Optic tract
Tu
Olfactory tubercle
VH
Ventral horn spinal cord
VM
Ventromedial thalamic nucleus
V2
Secondary visual cortex
VLO
Ventrolateral orbitofrontal cortex
VM
Ventromedial prefrontal cortex
VO
Ventral orbitofrontal cortex
VP
Ventral pallidum
VTA
Ventral tegmental area GFP
Green fluorescence protein
Gi
Gigantocellular reticular nucleus
GI
Granular insular cortex
GiA
Giggantocellular reticular nucleus alpha par
HDB
Nucleus of the horizontal limb of the diago
nal band
IC
Inferior colliculus
IL
Infralimbic cortex
InG
Intermediate gray layer of the superior
colliculus
InWh
Intermediate white layer of the superior
colliculus
IRt
Intermediate reticular nucleus
isRT
Isthmic reticular formation
LDTg
Laterodorsal tegmental nucleus
LH
Lateral horn spinal cord
LO
Lateral orbital cortex
LPBreL
Lateral parabrachial nucleus
M1
Primary motor cortex
M2
Secondary motor cortex
MCPO
Magnocellular preoptic nucleus
MDC
Mediodorsal thalamic nucleus central part
MdD
Medullary reticular nucleus dorsal part
MdV
Medullary reticular nucleus ventral part
MO
Medial orbitofrontal cortex
mRt
Mesencephalic reticular formation
NRth
Reticular thalamic nucleus
OFC
Orbitofrontal cortex
OL
Olfactory lobe
PAG
Periaqueductal gray
parvafox
Parvafox nucleus
PBP (VTA)
Parabrachial pigmented nucleus
PcRtA
Parvicellular reticular nucleus (anterior
part)
PDR
Posterodorsal raphe nucleus
PF
Parafascicular nucleus
PIF (VTA)
Parainterfascicular nucleus
Pir
Piriform cortex
PN (VTA)
Paranigral nucleus of the VTA
Pn
Pontine nuclei
PrEW
Pre-Edinger Westphal nucleus
Prh
Perirhinal cortex
PrL
Prelimbic area
PT
Parataenial thalamic nucleus
PV2
PV2 nucleus (in LDTg)
py
Pyramidal tract
pyx
Pyramidal decussation
RFP
Red fluorescent protein
RhF
Rhinal fissure
rsv
Round synaptic vesicles
RtTg
Reticulotegmental nucleus
S1
Primary somatosensory cortex
SC
Superior colliculus Materials and methods This study was conducted in accordance with the regulations
of the Swiss Federal Animal Protection Law and under the
supervision of the Veterinary Authority of the Canton of Fri-
bourg (permissions 2013-04-Fr; 2013-05-FR, 2016-36-Fr). Experiments were performed on 36 adult C57/Bl6
mice and 13 Wistar albino rats (Janvier, Lyon, France) of
both genders, weighing 26–39 g and 240–325 g, respec-
tively (Table 1). Other strains of mice that were used
were either homozygous for the Pvalb-Cre genotype
[129P2-Pvalb < tm1(cre)Arbr>/J] (Hippenmeyer et al. 2005)
or heterozygous for the Foxb1-Cre one [Foxb1tm1cre−EGFPGabo]
(Alvarez-Bolado et al. 2000) (Table 1). TVA-floxed mice
[B6;129P2-Gt(ROSA)26Sortm1(CAG−RABVgp4,−TVA)Arenk/J, strain
024708] were used in the rabies experiments and VGAT-Cre
mice [Slc32a1tm2(cre)Low l, strain 016962 (Jackson Labora-
tory, Bar Harbor, Maine, USA)] for anterograde tracing
with Cre-dependent constructs. The mice that were used Using viral constructs (Chamberlin et al. 1998; Wick-
ersham et al. 2007a) and genetically modified mice that
express Cre-recombinase in parvalbumin- (Parv) (Hippen-
meyer et al. 2005) and/or Foxb1-expressing neurons (Zhao
et al. 2007), we demonstrate that the LO- and the VLO-corti-
ces heavily project collaterals to three as yet less well-known
structures, namely, the parvafox nucleus (Bilella et al. 2014;
Celio 1990; Celio et al. 2013; Girard et al. 2011; Meszar
et al. 2012), the supraoculomotor nucleus (Su3) (Carrive and
Paxinos 1994) and the parvalbumin 2 nucleus (PV2) (Celio
et al. 2013) of the PAG. The parvafox nucleus [formerly Table 1 Strains of rats and mice that were utilized to study the projections from the OFC Table 1 Strains of rats and mice that were utilized to study the projections from the OFC
To check for the presence of projecting parvalbumin-expressing neurons, Cre-dependent tracers were also injected into the OFC of Pvalb-Cre
mice. The Pvalb-Cre and the Foxb1-Cre mice were used in the co-labelling experiments: the non-Cre-dependent tracers were injected into the
OFC and the Cre-dependent ones, labelled with another fluorescence-dye, into the parvafox nucleus. The TVA-floxed mice, and the Pvalb-
Cre/Foxb1-Cre ones with which they were bred, were employed for the injection of Cre-dependent rabies-tracers into the parvafox nucleus, with
a view to studying the trans-synaptic location of the retrogradely labelled neurons in the OFC
Name
Line
Strain Nr. (Jackson)
Source
Wild type
Wistar
Janvier, Lyon, France
Wild type
C57/Bl6
Janvier, Lyon, France
Pvalb-Cre
129P2-Pvalbtm1(cre)Arbr/J
008069
Dr. Silvia Arber, Basel
(Switzerland) and Jackson
Laboratory
Foxb1-Cre
Foxb1tm1cre−EGFPGabo
Dr. Introduction 1996), the
parafascicular nucleus (Jones and Leavitt 1974), the claus-
trum (Zhang et al. 2001), the lateral hypothalamus (Gab-
bott et al. 2005; Hardy 1994; Hurley et al. 1991; Price et al. 1991), the PAG (Hardy 1986; Wyss and Sripanidkulchai
1984), the ventrolateral PAG (Beckstead 1979; Craig et al. 1982; Leonard 1969) and the oculomotor complex (Leich-
netz and Gonzalo-Ruiz 1987b; Leichnetz et al. 1987a). The
VLO-cortex projects additionally to the visual cortex (Reep
et al. 1996). The targets of OFC projections are distributed
throughout the entire brain—the hippocampus and the cer-
ebellum exempted. Although the lateral hypothalamus and
the periaqueductal grey matter (PAG) have been shown to
receive terminals, their localization has not been identified
with precision. called PV1 nucleus (Celio 1990)], is located amongst the
fibres of the medial forebrain bundle in the ventrolateral
hypothalamus. The Su3 and the PV2 nuclei are two longi-
tudinally oriented columns of neurons, which are located
ventral to the aqueduct at the border of the PAG in the mes-
encephalic tegmentum. Although the largest contingent of axon terminals derives
from pyramidal cells in layer V–VI of the LO/VLO-cor-
tex and is excitatory, parvalbumin-expressing and a few
GABAergic neurons also contribute to the projections. By
virtue of its dual inhibitory and excitatory projections, the
LO/VLO-cortex may modulate the activity of the parvafox
nucleus and its PAG targets. Introduction In a series of magisterial papers, Joseph Price and his col-
leagues characterized the frontal cortex and its projections
in various species (Bacon and Smith 1993; Carmichael and
Price 1994, 1996; Ongur et al. 2003). In the rat, the OFC
was subdivided—medially-to-laterally—into ventral (VO),
ventrolateral (VLO) and lateral (LO) regions (Krettek and
Price 1977), which are analogous to the multimodal areas
14, 13a and 13 m/l, respectively, in the monkey (Price 2007). Area 13a, the so-called “visceromotor” region, is a constit-
uent of the medial network (Carmichael and Price 1996),
receiving inputs from limbic structures and projecting to
the hypothalamus and the PAG. Area 13 m/l forms a part of
the orbital network (Carmichael and Price 1996). Receiving
multimodal information, it is consequently referred to as the
“viscerosensory” region. It projects almost no descending
axons to either the amygdala, the hypothalamus or the PAG
(Ongur et al. 1998). The LO/VLO cortex in rodents is therefore a homologue
of part of the reward network region in the ventromedial
prefrontal cortex (VM) (Ongur and Price 2000) that is
involved in decision-making and emotional handling in pri-
mates (Bechara et al. 2000). In humans, lesioning of the VM
interferes with the processing of somatic or emotional sig-
nals, thereby leading to an impairment in decision-making
(Bechara et al. 2000). An influential hypothesis (“somatic
marker”) postulates the VM to be a key link between emo-
tional regions (amygdala) and the autonomic nervous sys-
tem (Damasio 1996), of which the hypothalamus is the key
organizer. The projections from the OFC in rodents have been
exhaustively investigated by various authors by means of
antero- and retrograde tracing, The findings have revealed
the OFC to be connected with the primary olfactory cor-
tex (Price 1985), the piriform cortex (Illig 2005), the caud-
atoputamen (Beckstead 1979; Berendse et al. 1992; Gabbott Brain Structure and Function (2019) 224:293–314 295 et al. 2005; Groenewegen et al. 1990; Leonard 1969; Schil-
man et al. 2008), the amygdala (Groenewegen et al. 1990;
McDonald et al. 1996), the extended amygdala (Groenewe-
gen et al. 1990; Reynolds and Zahm 2005), the submedial
(Coffield et al. 1992; Craig et al. 1982; Price and Slotnick
1983; Yoshida et al. 1992) and the mediodorsal thalamic
nuclei (Beckstead 1979; Gabbott et al. 2005; Groenewe-
gen 1988; Guldin et al. 1981; Leonard 1969; Price and
Slotnick 1983; Ray and Price 1993; Reep et al. Materials and methods Gonzalo Alvarez-Bolado
Heidelberg, Germany
TVA-floxed mice
B6;129P2-
Gt(ROSA)26Sortm1(CAG−RABVgp4,−TVA)Arenk/J
024708
Jackson Laboratory
VGAT-Cre
Slc32a1 tm2(cre)Low l
016962
Jackson Laboratory
TVA-Pvalb-Cre/Foxb1-Cre
TVA-Pvalb-Cre/Foxb1-Cre
Bred in house To check for the presence of projecting parvalbumin-expressing neurons, Cre-dependent tracers were also injected into the OFC of Pvalb-Cre
mice. The Pvalb-Cre and the Foxb1-Cre mice were used in the co-labelling experiments: the non-Cre-dependent tracers were injected into the
OFC and the Cre-dependent ones, labelled with another fluorescence-dye, into the parvafox nucleus. The TVA-floxed mice, and the Pvalb-
Cre/Foxb1-Cre ones with which they were bred, were employed for the injection of Cre-dependent rabies-tracers into the parvafox nucleus, with
a view to studying the trans-synaptic location of the retrogradely labelled neurons in the OFC To check for the presence of projecting parvalbumin-expressing neurons, Cre-dependent tracers were also injected into the OFC of Pvalb-Cre
mice. The Pvalb-Cre and the Foxb1-Cre mice were used in the co-labelling experiments: the non-Cre-dependent tracers were injected into the
OFC and the Cre-dependent ones, labelled with another fluorescence-dye, into the parvafox nucleus. The TVA-floxed mice, and the Pvalb-
Cre/Foxb1-Cre ones with which they were bred, were employed for the injection of Cre-dependent rabies-tracers into the parvafox nucleus, with
a view to studying the trans-synaptic location of the retrogradely labelled neurons in the OFC 1 3 Brain Structure and Function (2019) 224:293–314 296 for the trans-synaptic rabies injections were of the TVA-
Pvalb/Foxb1 genotype; they were bred in house (Table 1). microinjection unit (Kopf, model 5000). In rats, the injec-
tions were made at different sites of the LO around cen-
tral coordinates of anteroposterior (AP): + 4.2, medi-
olateral (ML): ± 2.4, dorsoventral (DV): − 3.5 (in mm,
with respect to the bregma level and the brain surface). If
not otherwise specified elsewhere, the injections in mice
were usually made around the stereotaxic coordinates of
AP: + 2.8, ML: ± 1.3, DV: − 1.8. 20–80 nl of the tracer
(Table 2a) was injected into rats and 15–20 nl into mice
during an interval of 0.5–1 min. After the injection, the
needle was left in place for 3–5 min to allow the tracer
to diffuse at the injection site. The needle was then with-
drawn, the skin over the skull was sutured and the animals
were left to recover. In most of the experiments with rats,
bilateral injections of the same or different tracers were
made at various AP and ML coordinates. Materials and methods The position of
the needle was varied such that deposits of label involved
in entirety the medial, lateral and insular portions of the
dorsal sulcal cortex (MO, VO, VLO, LO, DLO, AIV). Due
to the intricacy and the small size of the various orbito-
frontal regions, injections were almost never confined to
one region alone and tracers often suffused adjacent corti-
cal areas. for the trans-synaptic rabies injections were of the TVA-
Pvalb/Foxb1 genotype; they were bred in house (Table 1). The animals were anaesthetized with a mixture of
ketamine (40–60 mg/kg of body weight) and xylazine
(10–15 mg/kg of body weight) which was diluted with
physiological (0.9%) saline. If necessary, supplementary,
lower (1/4–1/3) doses of the anaesthetic were administered
during the stereotactic procedure, if any signs of awakening
became manifest. Anterograde tracing experiments (Table 2a) The head of the animal was secured in the stereotaxic
apparatus (Kopf Model 5000) and a craniotomy was per-
formed over the target region in the orbital cortex. Tracers
1–6 in Table 2a were used as anterograde tracers in these
experiments. Injections in the OFC The tracers were injected via a fine-bored needle (external
diameter: 0.14 mm, GA: 34), which was connected to a
2.5-µl Hamilton syringe that was mounted on a manual Table 2 List of the antero- and retrograde tracers that were used for the experiments. The anterograde, non-Cre-dependent tracers were injected primarily into the OFC, and the Cre-dependent ones into the parvafox nucleus of
Pvalb-Cre, Foxb1-Cre or Pvalb-Cre/Foxb1-Cre mice. The classical retrograde tracers (BDA, Fluorogold) were injected into the targets of the
OFC projection, namely, into the parvafox nucleus and the PAG, to reveal the presence of double-stained neurons in the OFC
a: Anterograde tracers
Species
Source
Viral, non-Cre-dependent
1
AAV2/1.hSynapsin.EGFP.WPRE.bGH
Rats and mice
Vector Core, University of North Carolina, USA
2
AAV1.hSynapsin.TurboRFP.WPRE.rBG
Rat
Vector Core, University of North Carolina, USA
3
AAV9.hSynapsin.TurboRFP.WPRE.rBG
Rat
Vector Core, University of Pennsylvania, USA
Viral, Cre-dependent
4
AAV2/1.CAG.FLEX.EGFP.WPRE.bGH
Mouse
Vector Core, University of Pennsylvania, USA
5
AAV1.CAG.flex.tdTomato.WPRE.bGH
Vector Core, University of Pennsylvania, USA
Non-viral
6
Biotinylated dextran (MW 10′000) anterograde
tracer
Mouse
Invitrogen (D1956 Lot 1148353)
b: Retrograde tracers
Source
Trans-synaptic transport (rabies)
7
rAAV8/CA-Flex-RG.ape
Vector Core, University of North Carolina (USA)
8
rAAV5/EF1-Flex-TVA-Cherry.ape
Vector Core, University of North Carolina (USA)
Env-A Δ-G rabies-EGFP
Friedrich Miescher Institute-Basel (Switzerland)
Others
10
Biotinylated dextran (BDA, MW 3000) retrograde
tracer
Invitrogen (D7135), Waltham, USA
11
Fluorogold
Anti-fluorogold antiserum
Fluorogold, Denver, USA
Millipore AB153 Lot 2161122, USA Table 2 List of the antero- and retrograde tracers that were used for the experiments. The anterograde, non-Cre-dependent tracers were injected primarily into the OFC, and the Cre-dependent ones into the parvafox nucleus of
Pvalb-Cre, Foxb1-Cre or Pvalb-Cre/Foxb1-Cre mice. Injections in the OFC The classical retrograde tracers (BDA, Fluorogold) were injected into the targets of the
OFC projection, namely, into the parvafox nucleus and the PAG, to reveal the presence of double-stained neurons in the OFC
a: Anterograde tracers
Species
Source
Viral, non-Cre-dependent
1
AAV2/1.hSynapsin.EGFP.WPRE.bGH
Rats and mice
Vector Core, University of North Carolina, USA
2
AAV1.hSynapsin.TurboRFP.WPRE.rBG
Rat
Vector Core, University of North Carolina, USA
3
AAV9.hSynapsin.TurboRFP.WPRE.rBG
Rat
Vector Core, University of Pennsylvania, USA
Viral, Cre-dependent
4
AAV2/1.CAG.FLEX.EGFP.WPRE.bGH
Mouse
Vector Core, University of Pennsylvania, USA
5
AAV1.CAG.flex.tdTomato.WPRE.bGH
Vector Core, University of Pennsylvania, USA
Non-viral
6
Biotinylated dextran (MW 10′000) anterograde
tracer
Mouse
Invitrogen (D1956 Lot 1148353)
b: Retrograde tracers
Source
Trans-synaptic transport (rabies)
7
rAAV8/CA-Flex-RG.ape
Vector Core, University of North Carolina (USA)
8
rAAV5/EF1-Flex-TVA-Cherry.ape
Vector Core, University of North Carolina (USA)
Env-A Δ-G rabies-EGFP
Friedrich Miescher Institute-Basel (Switzerland)
Others
10
Biotinylated dextran (BDA, MW 3000) retrograde
tracer
Invitrogen (D7135), Waltham, USA
11
Fluorogold
Anti-fluorogold antiserum
Fluorogold, Denver, USA
Millipore AB153 Lot 2161122, USA Table 2 List of the antero- and retrograde tracers that were used for the experiments. The anterograde, non-Cre-dependent tracers were injected primarily into the OFC, and the Cre-dependent ones into the parvafox nucleus of
Pvalb-Cre, Foxb1-Cre or Pvalb-Cre/Foxb1-Cre mice. The classical retrograde tracers (BDA, Fluorogold) were injected into the targets of the
OFC projection, namely, into the parvafox nucleus and the PAG, to reveal the presence of double-stained neurons in the OFC 3 A note on the OFC tracing data found in the Allen Brain
Atlas (ABA) After its first appearance in 2013, subsequent editions
of the Allen Brain Atlas (ABA) have reported an ever-
increasing body of data that have been garnered from
the stereotactic injection of viral tracers into the OFC of
murine brains (suppl. Table. 1). We drew on some of the
self-same viral tracers in our own experiments. The data
that are presented in the ABA are based upon the imple-
mentation of an iontophoretic technique, which involves
the injection of a viral tracer at two levels in the cortex,
whence it attains all layers. The volume of the injected
tissue is then calculated. In our experiments, a defined
volume of the viral tracer was delivered in a single injec-
tion via a Hamilton syringe to the targeted site. Since our
data accord well with those that are presented in the ABA,
we presume that the different modes of delivery of the
viral tracers (iontophoresis versus microinjection) had no
impact on their accessibility to nerve cells. Retrograde tracing experiments (Table 2b) A red anterograde tracer was injected in the OFC and a green
one in the parvafox nucleus (or vice-versa). In these speci-
mens, we investigated the spatial relationship between the
OFC endings and the endings from the parvafox nucleus in
the Su3 and the PV2 regions of the PAG. A Cre-dependent
red-construct was injected into the parvafox nucleus and a
Cre-dependent (or non-Cre-dependent) GFP-tracer into the
LO/-VLO-cortex. Eight PV-Cre (552-12, 553-12, 138-13,
222-13, 223-13, 357-14, 394-14, 395-14), three Foxb1-Cre
(209-14, 223-14, 390-14) mice, and one PV-Cre/Foxb1-Cre
(223-14) mouse were investigated. To confirm the existence of the projections that were
observed in the anterograde tracing experiments and to
ascertain whether the projections to the different sites origi-
nate from the same or different populations of neurons,
retrograde (including double) labelling experiments were
performed (tracers 7–11 in Table 2b). These included also
some double-labelling experiments targeting in the same
animal the PAG and the parvafox (both targets of the OFC
as the present study reveals). Two classical retrograde trac-
ers, viz. Fluorogold [2% in physiological (0.9%) saline;
12–30 nl/1930s] and biotinylated dextran amine [(BDA)
10% in physiological (0.9%) saline; 40–100 nl/1–2 min]
were injected into targeted regions of the LO/VLO-projec-
tions in mice, namely, into the PAG (coordinates of AP:
− 4.1, ML:± 0.5, DV: − 2.7) and/or the parvafox nucleus
(coordinates of AP: − 1.5, ML: ± 1.3, DV: − 4.9) using the
same tools and procedures that are described above for the
injection of the anterograde tracers. 3 Brain Structure and Function (2019) 224:293–314 297 394-14; 306-15; 307-15; 308-15) and three VGAT-Cre mice
(234-16, 235-16, 236-16). 394-14; 306-15; 307-15; 308-15) and three VGAT-Cre mice
(234-16, 235-16, 236-16). Injections in the parvafox nucleus For the injections into the parvafox nucleus of mice, the nee-
dle was positioned at bregma level: − 1.5 mm, ML: 1.3 mm,
DV: 4.9–5.1 mm (Bilella et al. 2016). In a few experiments, the injection needles pierced the
OFC and penetrated the olfactory bulb (394-13, 395-13),
the anterior olfactory nucleus (132-15; 309-15), the olfac-
tory tract (386-13) and the olfactory tuberculum (386-13). Do experiments with classical tracers confirm the results
found with viral tracers? In eight mice (250-13, 399-15, 400-15, 401-15, 402-15;
28-16, 29-16), biotinylated dextran (BDA 10,000 MW, Invit-
rogen, USA) was injected at various medio-lateral coordinates
into the OFC. The distribution of the terminals in the parvafox
nucleus and in the PAG corresponded exactly to the picture
that was revealed after the injection of the viral tracers. Only
injections that involved the LO/VLO-cortex disclosed the
typical “pony-tail-like” terminal field in the parvafox nucleus. yp
p
yi
p
The cortices at the medial and lateral boundaries of the
orbital cortex were selectively targeted in various experi-
ments (126-13 [prelimbic (PrL), medial orbital (MO)]; 185-
13 [MO]; 186-13 [MO]; 130-15 [PrL]; 132-15 [infralimbic
(IL)]; 552-12 [DLO]; 553-12 [DLO]; 556-12 [DLO]). None
revealed targeted terminals in the parvafox- or in the Su3 and
PV2-nuclei, only a diffuse innervation of the lateral hypothal-
amus and of other columns in the PAG. As demonstrated in
the ABA-database, tracer injection in the AID, AIV and AIP
did not show selective innervation neither of the parvafox nor
of Su3 and PV2-nuclei (http://connectivity.brain-map.org/). In a few experiments, the injection needles pierced the
OFC and penetrated the olfactory bulb (394-13, 395-13),
the anterior olfactory nucleus (132-15; 309-15), the olfac-
tory tract (386-13) and the olfactory tuberculum (386-13). i
The cortices at the medial and lateral boundaries of the
orbital cortex were selectively targeted in various experi-
ments (126-13 [prelimbic (PrL), medial orbital (MO)]; 185-
13 [MO]; 186-13 [MO]; 130-15 [PrL]; 132-15 [infralimbic
(IL)]; 552-12 [DLO]; 553-12 [DLO]; 556-12 [DLO]). None
revealed targeted terminals in the parvafox- or in the Su3 and
PV2-nuclei, only a diffuse innervation of the lateral hypothal-
amus and of other columns in the PAG. As demonstrated in
the ABA-database, tracer injection in the AID, AIV and AIP
did not show selective innervation neither of the parvafox nor
of Su3 and PV2-nuclei (http://connectivity.brain-map.org/). Histological procedures After 6–8 days for retrograde, and 3–4 weeks for antero-
grade tracing experiments, deep anaesthesia was induced in
the animals by the administration of a lethal dose of pento-
barbital (150–200 mg/kg of body weight). They were then
transcardially perfused, first with physiological (0.9%) saline
and then with paraformaldehyde (4% in 0.1 M phosphate
buffer, pH 7.4) the brains were excised and postfixed over-
night in 4% paraformaldehyde. They were then submerged
in a 30% solution of sucrose for cryo-protection. Using a
cryomobile (Reichert-Jung), the brains were serially sliced
into 40/80-µm-thick sections, which were collected in 0.1 M
phosphate buffer containing 0.01% sodium azide. The sec-
tions were usually cut in the coronal (frontal) plane. However,
in four brains (393-13, 142-14, 132-15, 307-15) the sections
were prepared in the sagittal plane, and in three (386-13,
394-13, 141-14) they were cut in the horizontal direction. The sections were subsequently incubated with the appropri-
ate antibodies to confirm the precision of the injection and
the presence of neuronal endings in the region of interest,
particularly around the cells of the parvafox nucleus. Series
of sections that were derived from untreated mice and rats
were stained with Nissl and exposed to an antibody against
non-phosphorylated neurofilaments (SMI-32), which served
as a neuronal marker (Franklin and Chudasama 2012) to Are subpopulations of the OFC‑cells projecting
to the parvafox nucleus inhibitory or Parv‑expressing (Lee
et al. 2014)? A Cre-dependent tracer was injected in the OFC of VGAT
-Cre or PValb-Cre mice to detect terminals on neurons of
the parvafox nucleus and in the PAG. The animals used for
these experiments were six Pvalb-Cre mice (356-14; 357-14; In addition, trans-synaptic labelling of the parvafox
nucleus was executed in Pvalb-Cre/Foxb1-Cre mice that had 1 3 Brain Structure and Function (2019) 224:293–314 298 define the subdivision of the prefrontal cortex. The sections
were mounted on glass slides for histological inspection in
either a Leica 6000 epifluorescence microscope [equipped
with a Hamamatsu C4742-95 camera], a digital slide-scanner
(Nanozoomer, Hamamatsu), or a Leica TCS SP5 confocal
laser microscope. Staining with GFP, RFP, Tomato or Fluoro-
gold was detected by virtue of the intrinsic fluorescence; that
with BDA was revealed after exposure to streptavidin-Cy3. been bred with TVA-floxed (Pvalb-Foxb1-TVA) mice. To
this end, a Cre-dependent glycoprotein-deleted mutant strain
of the SAD B19 rabies vaccine strain bearing an EGFP-
insert (Env-A Δ-G rabies-EGFP) was concomitantly injected
with AAV-Flex-G into the parvafox nucleus (Table 2b)
(Wickersham et al. 2007a). Immunohistochemistry After 6–8 days for retrograde, and 3–4 weeks for antero-
grade tracing experiments, deep anaesthesia was induced in
the animals by the administration of a lethal dose of pento-
barbital (150–200 mg/kg of body weight). They were then
transcardially perfused, first with physiological (0.9%) saline
and then with paraformaldehyde (4% in 0.1 M phosphate
buffer, pH 7.4) the brains were excised and postfixed over-
night in 4% paraformaldehyde. They were then submerged
in a 30% solution of sucrose for cryo-protection. Using a
cryomobile (Reichert-Jung), the brains were serially sliced
into 40/80-µm-thick sections, which were collected in 0.1 M
phosphate buffer containing 0.01% sodium azide. The sec-
tions were usually cut in the coronal (frontal) plane. However,
in four brains (393-13, 142-14, 132-15, 307-15) the sections
were prepared in the sagittal plane, and in three (386-13,
394-13, 141-14) they were cut in the horizontal direction. The immunofluorescence technique and the immunoper-
oxidase reaction were performed as previously described
(Gerig and Celio 2007; Meszar et al. 2012). In short, float-
ing sections were incubated in 24-well plates with the pri-
mary antisera or antibodies, which were diluted in the range
1:1000–1: 5000 (Table 3). The efficacy of the antisera and
the antibodies against Parv had been hitherto established in
antigen-pre-adsorption experiments, by immunoblotting and
by the absence of immunoreactivity in knock-out mice (see
Table 3). Incubation with the biotinylated secondary anti-
body was followed by exposure to either streptavidin-Cy2
(Alexa460), -Cy3 (Alexa 550) or -Cy5 (Alexa 650). The antibodies against Parv were utilized primarily to confirm that the endings from the OFC did indeed impinge on parvalbumin-immunore-
active neurons in the parvafox nucleus. The serotonin- and TH-antisera helped to define the borders of the raphe and the coeruleus nuclei. GFP-
antisera served to enhance the fluorescence in the terminals of the brainstem and the spinal cord Electron microscopy The sections were subsequently incubated with the appropri-
ate antibodies to confirm the precision of the injection and
the presence of neuronal endings in the region of interest,
particularly around the cells of the parvafox nucleus. Series
of sections that were derived from untreated mice and rats
were stained with Nissl and exposed to an antibody against
non-phosphorylated neurofilaments (SMI-32), which served
as a neuronal marker (Franklin and Chudasama 2012) to In one case (127-13) five coronal sections of the region of
the hypothalamus in which positive terminals were observed
around the parvafox nucleus were incubated with antibod-
ies against GFP during 5 days (without Triton-X100). The
immunostaining was continued with a biotinylated antiserum
against rabbit-IgG (1 day) and followed by avidin-peroxidase
(1 day). After washing, the enzymatic activity was revealed Table 3 List of the antibodies and the antisera that were used in the experiments
The antibodies against Parv were utilized primarily to confirm that the endings from the OFC did indeed impinge on parvalbumin-immunore-
active neurons in the parvafox nucleus. The serotonin- and TH-antisera helped to define the borders of the raphe and the coeruleus nuclei. GFP-
antisera served to enhance the fluorescence in the terminals of the brainstem and the spinal cord
Antibody
Antigen
Source
Species
Dilution
PV235
Purified carp parvalbumin
Swant Inc., Marly, Switzerland
Mouse monoclonal
Lot 10-11F
1:1000–5000
PV25
Recombinant rat parvalbumin
Swant Inc., Marly, Switzerland
Rabbit polyclonal
Lot 5.10
1:1000–1:5000
GP72
Recombinant mouse parvalbumin
Swant Inc., Marly, Switzerland
Guinea pig polyclonal
1:1000–1:5000
PVG213/214
Recombinant rat parvalbumin
Swant Inc., Marly, Switzerland
Goat polyclonal
1:1000
GFP
Recombinant peptide
Molecular Probes, Waltham, (USA)
Rabbit polyclonal
1:3000
5-HT
Serotonin
Immunonuclear
Rabbit polyclonal
1:2000
TH
Tyrosine-hydroxylase
Immunostar, Stillwater (USA)
Rabbit polyclonal
1:10,000
SMI-32
Non-phosphorylated filaments
Millipore, USA
Mouse monoclonal
1:1000
VGlut 1
Recombinant peptide
Synaptic System, Germany
Rabbit or mouse
1:5000/1:20,000
VGlut 2
Recombinant peptide
Synaptic System, Germany
Rabbit
1:10,000
GAD
Recombinant peptide
Millipore, USA
Mouse
1:2000 Table 3 List of the antibodies and the antisera that were used in the experiments The antibodies against Parv were utilized primarily to confirm that the endings from the OFC did indeed impinge on parvalbumin-immunore-
active neurons in the parvafox nucleus. The serotonin- and TH-antisera helped to define the borders of the raphe and the coeruleus nuclei. Electron microscopy GFP-
antisera served to enhance the fluorescence in the terminals of the brainstem and the spinal cord The antibodies against Parv were utilized primarily to confirm that the endings from the OFC did indeed impinge on parvalbumin-immunore-
active neurons in the parvafox nucleus. The serotonin- and TH-antisera helped to define the borders of the raphe and the coeruleus nuclei. GFP-
antisera served to enhance the fluorescence in the terminals of the brainstem and the spinal cord The antibodies against Parv were utilized primarily to confirm that the endings from the OFC did indeed impinge on parvalbumin-immunore-
active neurons in the parvafox nucleus. The serotonin- and TH-antisera helped to define the borders of the raphe and the coeruleus nuclei. GFP-
antisera served to enhance the fluorescence in the terminals of the brainstem and the spinal cord 1 Brain Structure and Function (2019) 224:293–314 299 by incubating the sections with DAB-H2O2. The sections
were further post-fixed with 2.5% glutaraldehyde in 0.1 M
cacodylate buffer, pH 7.3 and after washing, were exposed
to 1% OsO4 (osmium tetroxide) in phosphate buffer for 2 h. Embedding took place in Epon. Semi- (0.5 µm) and ultrathin
sections (60 nm, grey interference colour) were cut with a
Reichert Ultramicrotome and mounted on one-hole grids. Uranyl acetate and lead citrate were employed for contrast-
ing purposes. The region of the parvafox was searched for
the presence of synapses between immunoreactive terminals
and dendrites or cell bodies using a Jeol microscope. between the LO and the VO in mice is debated (Franklin
and Chudasama 2012). The extension of the LO-cortex
is revealed after exposure to an antibody against SMI-32,
which is a marker of a non-phosphorylated neurofilament
subunit in rats (Franklin and Chudasama 2012) and mice
(not shown). On the basis of immunoreactivity for SMI-32,
we tentatively identified and delimited the VLO-region in
our specimens (Figs. 1, 2 ,3) [see also (Dong 2008)]. By adopting the subdivision of the prefrontal cortex in rats
that was introduced by the groups of Price (Price 2007) and
Reep (Reep et al. 1996), most of the successful injections that
revealed the presence of terminals in the parvafox nucleus
were located in the LO- and the VLO-cortices. After the
injection of viral tracers into the mid portion of the LO- and
the VLO-cortex in rats (Figs. 1, 2, 3E, F), and in mice (Fig. Electron microscopy 1,
2, 3A–D, G–J), enriched terminal staining was revealed in
the parvafox nucleus (Fig. 4A–G). Injections in the most
rostral and caudal position of the LO/VLO cortex often gave
negative results (Fig. 1; see also specimen 180673746 in the
ABA-database, Suppl Table 1). The injected tracer tended to Delimitation of the OFC and the injection sites Although the structural organization of the murine prefrontal
cortex is assumed to be similar to that in the rat (Frank-
lin and Chudasama 2012), the presence of a VLO-cortex awings of the positions
nto the OFC of 26 mice
wings depict the basal
y bulb and the piriform
tudinal regions: medial
d dorsolateral (DLO),
ections into mice were
nto rats in various other
e positions of injections
us of the ventrolateral
d the PV2 nuclei of the
the positions of injec-
ucleus of the ventrolat-
The grey circles indicate the positions of injections that revealed ter-
minals in the Su3- and the PV2 nuclei of the PAG, not those in the
parvafox nucleus of the ventrolateral hypothalamus. The white cir-
cles indicate the positions of injections that did not reveal terminals
either in the parvafox nucleus or in the Su3- and the PV2 nuclei of
the PAG. The squares indicate the positions of injections into the OFC
of Pvalb-Cre- or Foxb1-Cre-mice. The colour-coding of the squares
corresponds to that of the circles. The OFC-subdivision of the mouse
brain was based upon information that was derived from cresyl violet-
stained and SMI-31 immunostained stained serial sections through the
brains of wild-type mice (C57/B16). The right-hand picture is a modi-
fied version of a published figure (Groenewegen 1988) Fig. 1 Map of the injections sites. Schematic drawings of the positions
of the needle tip in the stereotactic injections into the OFC of 26 mice
(left) and 12 rats (right, 4 bilateral). The drawings depict the basal
surface of the OFC after removing the olfactory bulb and the piriform
region. The OFC is subdivided into four longitudinal regions: medial
(MO), ventrolateral (VLO), lateral (LO) and dorsolateral (DLO),
according to (Dong 2008; Price 2007). The injections into mice were
located in the central LO/VLO portion, those into rats in various other
parts of the OFC. The black circles indicate the positions of injections
that revealed terminals in the parvafox nucleus of the ventrolateral
hypothalamus as well as those in the Su3- and the PV2 nuclei of the
PAG. The circles with a central point indicate the positions of injec-
tions that revealed terminals in the parvafox nucleus of the ventrolat-
eral hypothalamus alone, not those in the Su3- and the PV2 nuclei. Delimitation of the OFC and the injection sites The grey circles indicate the positions of injections that revealed ter-
minals in the Su3- and the PV2 nuclei of the PAG, not those in the
parvafox nucleus of the ventrolateral hypothalamus. The white cir-
cles indicate the positions of injections that did not reveal terminals
either in the parvafox nucleus or in the Su3- and the PV2 nuclei of
the PAG. The squares indicate the positions of injections into the OFC
of Pvalb-Cre- or Foxb1-Cre-mice. The colour-coding of the squares
corresponds to that of the circles. The OFC-subdivision of the mouse
brain was based upon information that was derived from cresyl violet-
stained and SMI-31 immunostained stained serial sections through the
brains of wild-type mice (C57/B16). The right-hand picture is a modi-
fied version of a published figure (Groenewegen 1988) Fig. 1 Map of the injections sites. Schematic drawings of the positions
of the needle tip in the stereotactic injections into the OFC of 26 mice
(left) and 12 rats (right, 4 bilateral). The drawings depict the basal
surface of the OFC after removing the olfactory bulb and the piriform
region. The OFC is subdivided into four longitudinal regions: medial
(MO), ventrolateral (VLO), lateral (LO) and dorsolateral (DLO),
according to (Dong 2008; Price 2007). The injections into mice were
located in the central LO/VLO portion, those into rats in various other
parts of the OFC. The black circles indicate the positions of injections
that revealed terminals in the parvafox nucleus of the ventrolateral
hypothalamus as well as those in the Su3- and the PV2 nuclei of the
PAG. The circles with a central point indicate the positions of injec-
tions that revealed terminals in the parvafox nucleus of the ventrolat-
eral hypothalamus alone, not those in the Su3- and the PV2 nuclei. Fig. 1 Map of the injections sites. Schematic drawings of the positions
of the needle tip in the stereotactic injections into the OFC of 26 mice
(left) and 12 rats (right, 4 bilateral). The drawings depict the basal
surface of the OFC after removing the olfactory bulb and the piriform
region. The OFC is subdivided into four longitudinal regions: medial
(MO), ventrolateral (VLO), lateral (LO) and dorsolateral (DLO),
according to (Dong 2008; Price 2007). The injections into mice were
located in the central LO/VLO portion, those into rats in various other
parts of the OFC. Delimitation of the OFC and the injection sites The drawings are not to scale Fig. 2 Extent of the injections. Schematic drawings of coronal sec-
tions of the right hemisphere depicting the extent of the injection sites
through the brains of four rats (557-12, 127-13, 158-13 and 23-16)
and five mice (138-13, 222-13, 223-13, 250-13 and 400-15), repro-
duced from (Franklin and Paxinos 2008). The medial boundary of
the LO-cortex has been slightly modified, and the VLO-cortex has
been introduced according to (Dong 2008; Krettek and Price 1977). In most cases, an adeno-associated virus tracer was injected stereo-
tactically. In cases 250-13 and 400-15, BDA was applied. Although the tracers were injected into the LO-cortex, also dorsal (Fr, Cl and
M2) or adjacent regions (DLO and AIV) were sometimes co-labelled. In rats, the injections 557-12 and 127-13 were located mainly in the
LO-cortex. In the murine OFC, the injections in the LO-cortex trans-
gressed the border to surrounding areas. In both rats and mice, the
tracer injections revealed clearly visible terminal fields in the parva-
fox-, the Su3- and the PV2 nuclei. The drawings were prepared based
on the intrinsic fluorescence of the tracers, in the absence of amplifi-
cation with antibodies. The drawings are not to scale spread in a rostrocaudal, longitudinal direction (not shown),
as if the intrinsic texture of the OFC facilitated this path of
diffusion. A strong and selective projection to the parvafox
nucleus was disclosed only if the viral tracer impregnated the
deep cortical layers (V and VI). Injections that targeted the
superficial layers (I–IV) or the neighbouring regions of the
upper lip of the sulcal cortex, namely, the VO-, the DLO- or
the frontal association (FrA)-cortex, revealed scattered, dif-
fuse terminal fields in the lateral hypothalamus (Fig. 4D). In
the PAG, terminals were apparent not only after infections in
the LO and VLO (Fig. 4A–D, H–J), but also after injections
into the DLO-cortex (507-12; 552-12), although these were
located more dorsally and were less strong than when the
injection hit the LO-cortex. In recent years, the Allen Institute has recorded data
appertaining to random tracer-injections that have targeted
the OFC (http://connectivity.brain-map.org/) (Oh et al. 2014). The data that are presented in the ABA are inter-
esting also because gleaned from transgenic mice that had
been genetically engineered to permit targeting of specific
cell types. Delimitation of the OFC and the injection sites The black circles indicate the positions of injections
that revealed terminals in the parvafox nucleus of the ventrolateral
hypothalamus as well as those in the Su3- and the PV2 nuclei of the
PAG. The circles with a central point indicate the positions of injec-
tions that revealed terminals in the parvafox nucleus of the ventrolat-
eral hypothalamus alone, not those in the Su3- and the PV2 nuclei. The grey circles indicate the positions of injections that revealed ter-
minals in the Su3- and the PV2 nuclei of the PAG, not those in the
parvafox nucleus of the ventrolateral hypothalamus. The white cir-
cles indicate the positions of injections that did not reveal terminals
either in the parvafox nucleus or in the Su3- and the PV2 nuclei of
the PAG. The squares indicate the positions of injections into the OFC
of Pvalb-Cre- or Foxb1-Cre-mice. The colour-coding of the squares
corresponds to that of the circles. The OFC-subdivision of the mouse
brain was based upon information that was derived from cresyl violet-
stained and SMI-31 immunostained stained serial sections through the
brains of wild-type mice (C57/B16). The right-hand picture is a modi-
fied version of a published figure (Groenewegen 1988) 1 3 3 Brain Structure and Function (2019) 224:293–314 300 Fig. 2 Extent of the injections. Schematic drawings of coronal sec-
tions of the right hemisphere depicting the extent of the injection sites
through the brains of four rats (557-12, 127-13, 158-13 and 23-16)
and five mice (138-13, 222-13, 223-13, 250-13 and 400-15), repro-
duced from (Franklin and Paxinos 2008). The medial boundary of
the LO-cortex has been slightly modified, and the VLO-cortex has
been introduced according to (Dong 2008; Krettek and Price 1977). In most cases, an adeno-associated virus tracer was injected stereo-
tactically. In cases 250-13 and 400-15, BDA was applied. Although
the tracers were injected into the LO-cortex, also dorsal (Fr, Cl and
M2) or adjacent regions (DLO and AIV) were sometimes co-labelled. In rats, the injections 557-12 and 127-13 were located mainly in the
LO-cortex. In the murine OFC, the injections in the LO-cortex trans-
gressed the border to surrounding areas. In both rats and mice, the
tracer injections revealed clearly visible terminal fields in the parva-
fox-, the Su3- and the PV2 nuclei. The drawings were prepared based
on the intrinsic fluorescence of the tracers, in the absence of amplifi-
cation with antibodies. The LO/VLO‑cortex‑derived projection in general The projection from the LO/VLO-cortex extended as a
straight, compact bundle of descending axons directed
towards the hypothalamus (Fig. 7A). It has a length of 7.5 mm
in rats and one of 4.5 mm in mice. From the injection site, it
coursed through the caudatoputamen and the internal capsule
to the level of the posterior lateral hypothalamus (Figs. 3G, 7). The angle between the axonal bundle and the upper surface
of the brain is 55°; that between the bundle and the medial
surface of the brain is 12° (as revealed on 3D-images in the
ABA; Fig. 7A, B). From the posterolateral hypothalamus,
two separate bundles left the cerebral peduncle coursing in an
upward direction at an angle of 95° towards the rostral PAG,
and at an angle of 115 towards the distal PAG (Fig. 7A). A
third bundle left the cerebral peduncle caudally, one branch
extending to the medial pontine nuclei (Pn) and a second to
the reticulotegmental nucleus (RtTg) of the pons (Fig. 7B). A
third branch continued distally in the cerebral peduncle and
distributed axons bilaterally at various levels of the brainstem,
with contralateral targets predominating (Fig. 7A, C). In cross
sections of the brain, the fan-shaped axons were distributed
perpendicular to the surface of the brain and gave rise to rich
terminal fields in all parts of the reticular formation in the
pons and the medulla oblongata (schematic in Fig. 7C). The
terminal fields were most patent after immunostaining of the
transported GFP-tracer with antibodies that were directed
against GFP (222-13, 250-13, 556-12). When tracers were injected into the prelimbic cortex
(PrL), terminals were widespread in the lateral hypothalamus,
but were rare in the region of the parvafox nucleus (Sesack
et al. 1989; Takagishi and Chiba 1991; Vertes 2004). They
were notably absent from the region that was occupied by
the parv-immunoreactive neurons in the parvafox nucleus, as
revealed by immunofluorescence with another fluorochrome
on the same section (Injection 130-13, not shown). Injections into the insula (AIV and AID) (e.g. 507-12),
gave rise to diffuse terminal fields in the parvafox nucleus
but endings targeted the PAG, albeit in other quadrants.i To attain the superior lip of the rhinal fissure, where the
orbital cortex is located, the injection needle traversed corti-
cal areas on the dorsal (FrA, M2) and the dorsolateral (M1)
aspects of the prefrontal cortex. The LO/VLO‑cortex‑derived projection in general Leakage of the tracer along
the needle track sometimes involved these dorsal cortical
areas in the injection. When area M2 was involved, it may
have contributed to some of the terminal labelling seen in
the brainstem. However, area FrA does not appear to pro-
ject substantially to the hypothalamus or brainstem, because
in two experiments in which the injection was accidentally
made into area FrA by itself (553-12; 83-13), only a few
terminals were observed in the hypothalamus or PAG. The projections from the LO- and the VLO-cortices were
always bilateral, but were more abundant ipsilaterally until
the end of the midbrain (Fig. 7C), with one exception: the
projection from the VLO-cortex to the dorsal parabrachial
leaflet (LPBreL) was more apparent contralaterally than
ipsilaterally (Figs. 4j, 7C). In the pons and the medulla the
contralateral projections were always stronger, except in the
reticulotegmental (RtTg), and the pontine (Pn) nuclei. Caudal
to the decussation of the pyramidal tract, they were more pro-
nounced on the ipsilateral side of the spinal cord (Fig. 7C). Delimitation of the OFC and the injection sites As soon as ABA-images appertaining to injec-
tions into the OFC were published, these were evaluated
in parallel with the data that arose from our own injec-
tion experiments (Suppl. Table 1). The outcomes of our
own injections corresponded well with the data that are
recorded in the ABA. However, the mapping of data in the
ABA ends at the level of the spine–medullary junction, spread in a rostrocaudal, longitudinal direction (not shown),
as if the intrinsic texture of the OFC facilitated this path of
diffusion. A strong and selective projection to the parvafox
nucleus was disclosed only if the viral tracer impregnated the
deep cortical layers (V and VI). Injections that targeted the
superficial layers (I–IV) or the neighbouring regions of the
upper lip of the sulcal cortex, namely, the VO-, the DLO- or
the frontal association (FrA)-cortex, revealed scattered, dif-
fuse terminal fields in the lateral hypothalamus (Fig. 4D). In
the PAG, terminals were apparent not only after infections in
the LO and VLO (Fig. 4A–D, H–J), but also after injections
into the DLO-cortex (507-12; 552-12), although these were
located more dorsally and were less strong than when the
injection hit the LO-cortex. 1 3 3 Brain Structure and Function (2019) 224:293–314 301 whereas axons projecting from the OFC continue distally,
terminating in the lateral horn of the spinal cord (Fig. 7C). nucleus of the amygdala (BLA). The bundles of axons were
likewise located more medially in the caudatoputamen and
the terminals in the Su3 nucleus were restricted dorsomedi-
ally, over the oculomotor nucleus. When the injection hit
the LO-cortex, the density of labelled terminals was greater
in the parvafox and Su3-nuclei, and endings were also
observed in the basolateral nucleus of the amygdala (BLA),
the ethmoid thalamic nucleus (Eth) and the mediodorsal tha-
lamic nucleus (MDC). Detailed course of the axons and the location
of their terminal fields The description is limited to the regions in which novel
projections arising from the VLO/LO cortex were observed
(e.g. parvafox, Su3 and PV2). Observations that confirm
already known terminal fields of the LO/VLO cortex—
respectively, differences between already known projections
of the LO-VLO cortex—are reported in the schematic draw-
ing of Fig. 7C. After injections into the OFC of Pvalb-Cre- (Fig. 4G)
or VGAT-Cre mice (not shown), terminals were revealed at
the level of the thalamus and that of the parvafox nucleus
(Fig. 4G) in the hypothalamus, but only rarely more distally
in either the PAG or the brainstem. Hypothalamic targets of the OFC Scale
bars A–D, E, H, I, L, N: 0.5 mm; J, K 0.05 mm; F, G 1 mm; M
0.1 mm
◂ Hypothalamic targets of the OFC The axonal bundles from the CPu merged to form the medial-
most tip of the internal capsule at the level of the tuberal
hypothalamus (Fig. 4A–D, G). Ventromedially, fine collater-
als detached like a “pony-tail” from these axons (Figs. 3G,
inset, 4A, C) and proceeded ventromedially to the region
that is occupied by the parvafox nucleus (Figs. 3G, 4A–G). These fine axons branched profusely and terminated as The range of possible targets of the LO- and the VLO-
cortices varied somewhat: when the injections hit primarily
the VLO-cortex, the PV2 and the LDTg in particular were
strongly stained, whereas the parvafox- and the Su3 nuclei
received fewer terminals. The primary and the secondary
visual cortices were also stained, as was the perirhinal area;
likewise the parabrachial (LPBreL), but not the basolateral 1 3 3 Brain Structure and Function (2019) 224:293–314 302 302
Brain Structure and Function (2019) 224:293 314
1 3
synaptic “boutons” in an horizontal column—with a length
and a breadth of 1 mm and 0.5 µm, respectively, in rats, and
of 0.5 µm and 0.2 µm, respectively, in mice—which was
sandwiched between the optic tract and the fornix. The fine
axons sent out collaterals along their entire hypothalamic
course. They were oriented perpendicular to the parental sandwiched between the optic tract and the fornix. The fine
axons sent out collaterals along their entire hypothalamic
course. They were oriented perpendicular to the parental synaptic “boutons” in an horizontal column—with a length
and a breadth of 1 mm and 0.5 µm, respectively, in rats, and
of 0.5 µm and 0.2 µm, respectively, in mice—which was 1 3 3 3 Brain Structure and Function (2019) 224:293–314 303 traversed the most distal portion of the parvafox nucleus
(bregma level: − 2.2) and innervated the Gemini nuclei
(Gem), which are located dorsomedially (Fig. 6E). The ter-
minal field innervating the Gemini nuclei (ipsilateral > than
contralateral) had a larger diameter than the one depicted in
a standard mouse brain atlas (Paxinos and Franklin 2013). Fig. 3 Injection sites in the OFC and terminal fields in lateral hypo-
thalamus and PAG. A–F Nanozoomer scans of coronal sections
through six specimens (4 mice: A–D; 2 rats: E, F), revealing the
course of the Hamilton-syringe needle (vertical arrows) and the site
of deposition of the tracer at its tip (white dot). Hypothalamic targets of the OFC In three cases (A
222-13; E 127-13; F 164-15; G 557-12), the six layers of the OFC-
cortex were imbibed with the tracer, whereas in cases B (223-13)
and c (250-13), only the deeper layers (V and VI) of the LO-cortex
were labelled. In each of the depicted cases, axonal terminals were
revealed in the parvafox nucleus, as well as in the Su3- and the PV2
nuclei. G: Para-sagittal section through the brain of a mouse in which
the tracer had been injected into the LO-cortex [with spreading to the
VLO- and the VO- cortices (142-14)]. The bundles of axons passing
through the CPu and converging on the cerebral peduncle (cp) of the
posterior hypothalamus are clearly visible (see also Fig. 4a). The ter-
minal field to the parvafox nucleus is indicated with an arrow. The
inset shows the almost vertical projection of thin collateral axons
(bracket), deriving from the cp and generating the rich terminal field
of the parvafox nucleus. H Horizontal section through a mouse brain
(rostral side up), injected into the LO-with spreading to the VLO-
cortex (141-14). I Coronal section through a mouse brain showing
an injection limited to the MO-cortex (129-15), with no projections
to parvafox, Su3 and PV2. J, K Sections through the LO-cortex in
a Pvalb-Cre mouse (394-14) which had been injected with a Cre-
dependent AAV-virus (J). The section was then incubated with an
antibody against Parv (K). The cells that took up the tracer are Parv-
immunoreactive (arrows). *Blood vessel. L Transsynaptic retrograde
visualization of neurons in the prefrontal cortex after Cre-dependent
rabies injection in the parvafox nucleus of a Pvalb-Cre/Foxb1-Cre
mouse (183-16). Positive neurons are mainly detected in layers V–VI
of the LO/VLO cortex. The inset shows an image stack taken with
the confocal microscope in the area of the VLO-LO-cortex (frame):
the perikarya and the apical dendrites of the pyramidal cells are well
visible. Lat lateral, Med medial. M Overlapping terminal fields in the
ventrolateral portion of the Su3-region of the PAG (arrow). The green
(tracer injected in the LO-cortex) and the red (tracer injected in the
parvafox of a Pvalb-Cre/Foxb1-Cre mouse) terminals intermingle and
generate the orange tonality (arrow) in Su3. Pvalb-immunoreactivity
(magenta) highlights the oculomotor nucleus (3N). 3PC: parvicellular
part of the oculomotor nucleus. N Presence of terminals coming from
the LO/VLO cortex in the reticular thalamic nucleus (NRth). Mesencephalon At a slightly more distal level, namely, at the location in
which the substantia nigra appears in the midbrain (bregma
level: − 2.7), another bundle of coarse axons emitted from
the cerebral peduncle in the same dorsomedial direction
heavily innervated an oval volume that occupied a large por-
tion of the ventral tegmental area (VTA) (Fig. 6F). It also
gave rise to terminals in the PBP, the PN and PiF (Fig. 6F). This pattern of endings was observed after injections into
both the LO- and the VLO-cortices, but the staining was
more intense in the former than in the latter case. A projec-
tion from the LO-cortex to the VTA-region has indeed been
reported in a trans-synaptic retrograde study using rabies
viruses as a tracer (Ogawa et al. 2014; Watabe-Uchida et al. 2012). Axons of the cerebral peduncle subdivided into two
formations. One was located medially and extended to the
mid-portion of the PAG (Fig. 7A, C). It sent out collaterals,
which ended in a column of terminals in the ventrolateral
part of the Su3 nucleus (Fig. 5A–C), as has been indicated
by others (Beckstead 1979). This terminal field corre-
sponded in location to the terminal field of axons deriving
from both the Parv as well as the Foxb1-subpopulation of
neurons in the parvafox nucleus of the hypothalamus (Bilella
et al. 2016; Celio et al. 2013). Injections preponderantly in
the VLO-cortex lead to terminals in the dorsolateral part of
the Su3 (Fig. 5C′) and additionally to endings located in the
dorsolateral PAG (not shown). The second termination field
was located slightly more caudally, in the region of the PV2
nucleus (Figs. 4i, 5B′) (Celio et al. 2013). It extended to the
laterodorsal tegmental nucleus (LDtg) of the PAG (Fig. 7A,
C), as has been already reported (Leichnetz et al. 1987b). The existence of connections between the OFC and the ocu-
lomotor region was confirmed earlier by retrograde tracing
techniques (Leichnetz and Gonzalo-Ruiz 1987a; Leichnetz
et al. 1987a).i shafts and often ran in parallel with the dendrites of the
Parv-expressing neurons (Celio et al. 2013). Most Parv- and
Foxb1-expressing neurons in the parvafox nucleus received
a substantial input from a few collaterals via repetitive axo-
dendritic (and axo-somatic) synapses, and also sampled
activity via non-repetitive boutons en passant. Mesencephalon That the ter-
minals from the OFC impinged on neurons in the parvafox
nucleus was confirmed by injecting a Cre-dependent AAV-
tomato tracer into its Parv and Foxb1-expressing neurons. The OFC-derived terminal endings abutted on the surfaces
of the cell bodies and the dendrites, which were revealed
with the tomato tracer (Fig. 4E, F). Hence, the presence of
synaptic contacts is conceivable, and has been definitively
proved by electron microscopy (see suppl. Figure 1). shafts and often ran in parallel with the dendrites of the
Parv-expressing neurons (Celio et al. 2013). Most Parv- and
Foxb1-expressing neurons in the parvafox nucleus received
a substantial input from a few collaterals via repetitive axo-
dendritic (and axo-somatic) synapses, and also sampled
activity via non-repetitive boutons en passant. That the ter-
minals from the OFC impinged on neurons in the parvafox
nucleus was confirmed by injecting a Cre-dependent AAV-
tomato tracer into its Parv and Foxb1-expressing neurons. The OFC-derived terminal endings abutted on the surfaces
of the cell bodies and the dendrites, which were revealed
with the tomato tracer (Fig. 4E, F). Hence, the presence of
synaptic contacts is conceivable, and has been definitively
proved by electron microscopy (see suppl. Figure 1). A lateral formation of fibres dissociated in the Crus
cerebri from the one that was destined to innervate the
region of the Su3-nucleus. These fibres projected to, and
terminated in the tectum of the midbrain, specifically, in
the lateral edge of the intermediate grey (InG) and white
(InWh) layers of the superior colliculus, where they
formed a spherical (223-13, LO-Injection) or a honeycomb
or “fence”-like structure (Figs. 5D, E, 7A, C), as has been
before described (Beckstead 1979). These terminals were The coarse parental axons of the cerebral peduncle curved
upwards dorsomedially to form the periventricular system. A
slender bundle of axons arising from the cerebral peduncle 1 3 304
Brain Structure and Function (2019) 224:293–314
identified both in LO- as well as in VLO-cortex injected
specimen. Those deriving from the VLO-cortex were
located more dorso-medially in respect to those from the
LO-cortex. Terminals were observed also in the medial
pontine nuclei (Fig. 5F) and also in the reticulotegmental
nucleus (Fig. 7). Metencephalon
The OFC-derived terminals around the neurons in the PV2
nucleus continued distally to the dorsal portion of the LDTg
and to the sublaterodorsal nucleus. Mesencephalon A slender comma-shaped
field of terminals was evident contralateral to the injection
site in the region of the lateral parabrachial nucleus (LPB) 304 Brain Structure and Function (2019) 224:293–314 identified both in LO- as well as in VLO-cortex injected
specimen. Those deriving from the VLO-cortex were
located more dorso-medially in respect to those from the
LO-cortex. Terminals were observed also in the medial
pontine nuclei (Fig. 5F) and also in the reticulotegmental
nucleus (Fig. 7). The OFC-derived terminals around the neurons in the PV2
nucleus continued distally to the dorsal portion of the LDTg
and to the sublaterodorsal nucleus. A slender comma-shaped
field of terminals was evident contralateral to the injection
site in the region of the lateral parabrachial nucleus (LPB) 1 3 Brain Structure and Function (2019) 224:293–314 305 the compact portion of the nucleus ambiguus (Fig. 7C) in the
parvicellular reticular nucleus (PcRtA). On the ipsilateral
side, the field of projection of the OFC-derived axons and
that of the terminals were identical to those on the contralat-
eral one, but were less dense and less intensely stained. Fig. 4 Axonal endings in the ventrolateral hypothalamus and the ven-
trolateral PAG. Terminals of LO/VLO-cortex-derived axons in the
region of the parvafox nucleus of the ventrolateral hypothalamus and
in the Su3 and PV2 nucleus of the PAG. A, B Low- and higher mag-
nification views of the endings in the parvafox nucleus of rat speci-
men 557-12, taken at two different coronal levels. A group of thin
axons (small white arrows) derives from thicker ones that are located
in the cerebral peduncle (cp) and converge towards the parvalbumin-
immunoreactive neurons (red, in B) which define the axis of the
parvafox nucleus. The terminal field embraces a larger area than is
occupied by the parvalbumin-expressing neurons (B), since the axons
project also to the co-axially located Foxb1-expressing ones, which
are located peripherally in the parvafox nucleus (Bilella et al. 2014). The parvafox nucleus is rich in terminals, some of which lie adjacent
to the cell bodies and the dendrites of the parvalbumin-expressing
neurons (B). The rest of the lateral hypothalamus receives almost no
inputs. TO: optic tract Scale bars: A 0.1 mm; B 0.05 mm. C, D Coro-
nal views of the parvafox nucleus and the surrounding lateral hypo-
thalamus on both sides of the same specimen (557-12 right and left). Mesencephalon C (557-12r), terminals are apparent almost exclusively in the parva-
fox nucleus (traced in white). D (557-12 l), the entire lateral hypothal-
amus is richly supplied with terminals. The injection (C) was located
in the LO, the injections (D) were located more laterally (DLO). TO:
optic tract. Scale bars: 0.2 mm. E LO-cortex-derived axonal endings
around Parv-neurons of the parvafox nucleus in a Pvalb-Cre mouse
that was injected stereotactically with the AAV-tomato tracer (223-
13). Scale bar: 0.5 mm. F LO-cortex derived axonal endings around
Foxb1 neurons of a Foxb1 mouse that was injected stereotactically
with the tomato tracer (specimen 390-14). Scale bar: 0.5 mm. G LO-
cortex-derived terminals in the parvafox nucleus (arrow) of a Pvalb-
Cre mouse (specimen 356-14). The terminals in the parvafox nucleus
stem from thin axons that emanate from thicker ones in the cerebral
peduncle (cpd). TO: optic tract. Scale bar: 0.2 mm. H Topographic
relationship of the OFC endings in the Su3 region and catecholamin-
ergic neurons revealed by TH-immunofluorescence. DR dorsal raphe,
CLi caudal linear raphe nucleus, 3N oculomotor nucleus, DA8 DA8
dopamine cells. Scale bar: 0.4 mm. I LO-cortex derived axonal end-
ings around the Parv-positive neurons of the PV2-nucleus in the pos-
terodorsal raphe nucleus. Scale bar: 0.3 mm. J VLO-cortex derived
axons terminate in the lateral parabrachial nucleus (LPBreL) of the
contralateral side. DTg, VTG: dorsal, resp. ventral tegmental nucleus. LDTg laterodorsal tegmental nucleus, scp superior cerebellar pedun-
cle. Scale bar: 0.3 mm
◂ Medulla oblongata Rostrally, the contralateral IRT and the GIA received most
of the terminals, and the Amb none (Fig. 7C). More distally,
the upper portions of the contralateral IRt, MdV and MdD,
received terminals from the LO-cortex. Ipsilaterally, the den-
sity of the terminals was much lower. Cre‑dependent tracers Injections of Cre-dependent tracers into the OFC of Parv-
Cre mice lead to the impregnation of neurons in various lay-
ers (Fig. 3J, K). A small contingent of axons left the cortex
above the external capsule, passing through the caudatopu-
tamen and occupying the internal capsule. Their position
therein corresponded to that of the projections of the pyrami-
dal neurons in layers V–VI, and they distributed terminals to
the same sites [whole extent of the parvafox (Fig. 4G)], Su3
nucleus, PV2 nucleus (a few). In the thalamus, the endings
were detected in the mediodorsal central nucleus (306-15;
394-14), in the submediodorsal and the ventral nuclei (309-
15, 394-14) and in the Gemini nuclei (394-14). They were
also observed in the laterodorsal tegmental nucleus (LDTg)
and in the reticulotegmental nucleus (RtTG; 307-15) of the
brainstem; they ended in the central grey-alpha region of
the pons. Retrograde tracing experiments 4i). Aq
aqueduct, DRD, DRV, DRL dorsal, ventral and lateral parts of the
dorsal raphe nucleus, PDR posterodorsal raphe nucleus. Scale bars:
A 0.2 mm. C After the injection of a tracer into the LO-cortex of a
mouse (specimen 222-13, depicted in Fig. 3a), labelled terminals
were observed ventro-laterally in the Su3 nucleus (Su3 vl, arrow). Scale bar: 0.2 mm. C′ Injecting the tracer in the VLO-cortex (speci-
men 164-15, depicted in Fig. 3d) revealed the presence of termi-
nals in the dorsomedial part of the Su3 (Su3 dm, arrow). Scale bar
0.2 mm. D In addition to the Su3-region, LO-derived axons ascend
from the cerebral peduncle to terminate in the most lateral edge of the
intermediate grey (InG) and white layers (InWh) of the superior col-
liculus (SC). Terminals from the VLO-cortex are located more dorso-
medially. mRT mesencephalic reticular formation, DLPAG dorsolat-
eral PAG. Scale bar: 0.5 mm. E In horizontal sections, this terminal
field in the superior colliculus (SC) had a honeycomb- (*) or “fence”-
like appearance (141-14), see also Beckstead (1979). Ant anterior,
Cb cerebellum, IC inferior colliculus, SC superior colliculus. Scale
bar: 0.15 mm. F Terminals were observed also in the medial pontine
nuclei (Pn) and in the reticulotegmental nucleus (RtTg; Figs. 6f, 7b,
c). Scale bar: 0.1 mm Fig. 5 Terminal endings in the midbrain. Fluorescence images of LO-
cortex-derived terminals in the Su3- and the PV2 nuclei of the PAG. A, B, B′′ Endings of the axonal collaterals of OFC-derived projec-
tions in two rats (specimen 557-12 and 127-13, injections depicted
in Fig. 3f, g), which form a cap over the ventrolateral part of the
oculomotor nucleus (3N; A, B compare also Fig. 3m) referred to as
the Su3 nucleus (Carrive and Paxinos 1994). Slightly distally, end-
ings terminate in the PV2 nucleus (B′ compare also with Fig. 4i). Aq
aqueduct, DRD, DRV, DRL dorsal, ventral and lateral parts of the
dorsal raphe nucleus, PDR posterodorsal raphe nucleus. Scale bars:
A 0.2 mm. C After the injection of a tracer into the LO-cortex of a
mouse (specimen 222-13, depicted in Fig. 3a), labelled terminals
were observed ventro-laterally in the Su3 nucleus (Su3 vl, arrow). Scale bar: 0.2 mm. C′ Injecting the tracer in the VLO-cortex (speci- men 164-15, depicted in Fig. 3d) revealed the presence of termi-
nals in the dorsomedial part of the Su3 (Su3 dm, arrow). Scale bar
0.2 mm. Retrograde tracing experiments Concomitant retrograde tracing with fluorogold from the
ventrolateral region of the hypothalamus that harboured
the parvafox nucleus and with BDA (MW: 3000) from the
ventrolateral PAG revealed layer-V pyramidal cells in the
OFC to contain both tags (Fig. 6A–D). Hence, collaterals
emanating from the axons of some of the pyramidal cells
in layer V–VI innervated the parvafox nucleus whilst the
main fibres continued distally to innervate the PAG. Similar
findings have been documented for neurons of the VLO- and
the LO-cortices, which collateralize first to the caudatoputa-
men and then to the core of the accumbens (Reynolds and
Zahm 2005). (Figs. 4J, 7C), which is sandwiched between the LPB and
the MPB. This region may be occupied by one of the CCK-
expressing group of neurons that relay thermosensitive
information to the lateral hypothalamus (Geerling et al. 2016). This projection was observed only when the injec-
tions involved the VLO-cortex. The parental axons continued caudally to the cerebral
peduncle of the pons, wherefrom they spread out in a fan-
like manner to both of its halves (Fig. 7C). After the dis-
tance of a few micrometres in the dorsal direction, the axons
branched into collaterals of unequal thickness. The thicker
ones innervated the contralateral reticular formation (Gi, IRt
and PcRt). The terminal fields were confined by the sharp
boundaries of the prepositus hypoglossi nucleus upwards, by
those of the spinal trigeminal nucleus sidewards and by those
of the lateral paragigantocellular nucleus downwards. A field
of higher-density terminals was observed just laterodorsal to Retrograde, trans-synaptic labelling with Cre-depend-
ent rabies-virus constructs, which were injected into
the region that was occupied by the parvafox nucleus
in Pvalb-Cre/Foxb1-Cre mice, confirmed the presence
of tagged neurons in the LO- and the VLO-cortices
(Fig. 3L) but also in the medial prefrontal cortex (MO). 1 3 Brain Structure and Function (2019) 224:293–314 306 (
)
Fig. 5 Terminal endings in the midbrain. Fluorescence images of LO-
cortex-derived terminals in the Su3- and the PV2 nuclei of the PAG. A, B, B′′ Endings of the axonal collaterals of OFC-derived projec-
tions in two rats (specimen 557-12 and 127-13, injections depicted
in Fig. 3f, g), which form a cap over the ventrolateral part of the
oculomotor nucleus (3N; A, B compare also Fig. 3m) referred to as
the Su3 nucleus (Carrive and Paxinos 1994). Slightly distally, end-
ings terminate in the PV2 nucleus (B′ compare also with Fig. Retrograde tracing experiments D In addition to the Su3-region, LO-derived axons ascend
from the cerebral peduncle to terminate in the most lateral edge of the
intermediate grey (InG) and white layers (InWh) of the superior col-
liculus (SC). Terminals from the VLO-cortex are located more dorso-
medially. mRT mesencephalic reticular formation, DLPAG dorsolat-
eral PAG. Scale bar: 0.5 mm. E In horizontal sections, this terminal
field in the superior colliculus (SC) had a honeycomb- (*) or “fence”-
like appearance (141-14), see also Beckstead (1979). Ant anterior,
Cb cerebellum, IC inferior colliculus, SC superior colliculus. Scale
bar: 0.15 mm. F Terminals were observed also in the medial pontine
nuclei (Pn) and in the reticulotegmental nucleus (RtTg; Figs. 6f, 7b,
c). Scale bar: 0.1 mm This pattern of distribution indicates that all these OFC
regions target the Foxb1-expressing sub-population of the
parvafox nucleus. The MO-neurons probably label single Foxb1-expressing
neurons located in the region surrounding the parvafox. In the Pvalb-Cre mice, the label was observed in layers
V–VI of the LO-cortex, at the location of the upper lip
of the rhinal sulcus. In the Foxb1-Cre mice, the label was
detected also in the adjoining VLO- and the VO-cortices. 1 3 Brain Structure and Function (2019) 224:293–314 307 VLO pyramidal neurons send collaterals to both hypo-
nd PAG. Terminals in the Gemini (Gem) and reticuloteg-
leus (RtTg). Axons terminating in the parvafox nucleus are
als of fibres that continue their course distally to innervate
ateral PAG. Transverse sections through the rat OFC after
(A, C) and BDA (B, D), had been simultaneously injected
ntrolateral region of the hypothalamus that harbours the
ucleus (fluorogold) and into the ventrolateral region of the
hich the Su3- and the PV2 nuclei reside (BDA). Pyrami-
layers V–VI of the LO/VLO-cortex were double-labelled
ows in C, D) with two different retrogradely transported
the medial portions of the prefrontal cortex than did BDA injected
in the ventrolateral PAG. OL olfactory lobe, RhF rhinal fissure, I–VI
cortical layers. Scale bars: A, B 0.3 mm; C, D 0.03 mm. E The ipsi-
lateral nucleus Gemini (Gem), receives a strong innervation, particu-
larly from the LO-cortex, visible also on the contralateral side. Notice
the tendril-like bundle of axons (arrowheads) joining the nucleus
Gemini from the ventromedial part of the cerebral peduncle. Scale
bar 0.5 mm. Retrograde tracing experiments F In this parasagittal section (rostral to the right), in
addition to PBP and PN, also the rich innervation of the reticuloteg-
mental nucleus (RtTg) is visible. A large number of axons perpen-
dicular to the brain surface course in the isthmic reticular formation Fig. 6 LO/VLO pyramidal neurons send collaterals to both hypo-
thalamus and PAG. Terminals in the Gemini (Gem) and reticuloteg-
mental nucleus (RtTg). Axons terminating in the parvafox nucleus are
the collaterals of fibres that continue their course distally to innervate
the ventrolateral PAG. Transverse sections through the rat OFC after
fluorogold (A, C) and BDA (B, D), had been simultaneously injected
into the ventrolateral region of the hypothalamus that harbours the
parvafox nucleus (fluorogold) and into the ventrolateral region of the
PAG in which the Su3- and the PV2 nuclei reside (BDA). Pyrami-
dal cells in layers V–VI of the LO/VLO-cortex were double-labelled
(white arrows in C, D) with two different retrogradely transported
dyes. Fluorogold injected in the ventrolateral hypothalamus revealed
the presence of a larger number of labelled neurons in the orbital and the medial portions of the prefrontal cortex than did BDA injected
in the ventrolateral PAG. OL olfactory lobe, RhF rhinal fissure, I–VI
cortical layers. Scale bars: A, B 0.3 mm; C, D 0.03 mm. E The ipsi-
lateral nucleus Gemini (Gem), receives a strong innervation, particu-
larly from the LO-cortex, visible also on the contralateral side. Notice
the tendril-like bundle of axons (arrowheads) joining the nucleus
Gemini from the ventromedial part of the cerebral peduncle. Scale
bar 0.5 mm. F In this parasagittal section (rostral to the right), in
addition to PBP and PN, also the rich innervation of the reticuloteg-
mental nucleus (RtTg) is visible. A large number of axons perpen-
dicular to the brain surface course in the isthmic reticular formation
(isRt) to innervate the laterodorsal tegmental nucleus (LDTg). Scale
bar: 0.5 mm 1 3 3 308 Brain Structure and Function (2019) 224:293–314 Relationship between terminals in the PAG
At the level of the PAG, the relationship between endings
deriving from neurons in the LO-VLO-cortices and those
emanating from Parv- or Foxb1-expressing neurons were
studied in the confocal scanning microscope after a double
injection of fluorescence tracers Axons from the OFC were
Ultrastructure
Axons from the OFC ended primarily with asymmetric syn-
apses, characterized by round synaptic vesicles in the pre-
terminal endings and a thick postsynaptic density (suppl. Retrograde tracing experiments Figure 1A). In the region of the parvafox, axons of the OFC
themselves received both excitatory (suppl Figure 1B) as well Relationship between terminals in the PAG
At the level of the PAG, the relationship between endings
deriving from neurons in the LO-VLO-cortices and those
emanating from Parv- or Foxb1-expressing neurons were
studied in the confocal scanning microscope after a double
injection of fluorescence tracers. Axons from the OFC were
revealed with a Cre-independent EGF-tracer and those in
the parvafox nucleus with a Cre-dependent tomato tracer
(Fig. 3M). Although most of the terminals impinged on resi-
dent neurons in the PAG, contacts between the two popu-
lations of terminals were common (not shown). Terminals
deriving from the parvafox nucleus were sometimes pre-
synaptic and sometimes post-synaptic relative to those that
Ultrastructure
Axons from the OFC ended primarily with asymmetric syn-
apses, characterized by round synaptic vesicles in the pre-
terminal endings and a thick postsynaptic density (suppl. Figure 1A). In the region of the parvafox, axons of the OFC
themselves received both excitatory (suppl. Figure 1B) as well
as inhibitory, symmetric synapses, characterized by oval syn-
aptic vesicles (suppl. Figure 1C). Relationship between terminals in the PAG Ultrastructure At the level of the PAG, the relationship between endings
deriving from neurons in the LO-VLO-cortices and those
emanating from Parv- or Foxb1-expressing neurons were
studied in the confocal scanning microscope after a double
injection of fluorescence tracers. Axons from the OFC were
revealed with a Cre-independent EGF-tracer and those in
the parvafox nucleus with a Cre-dependent tomato tracer
(Fig. 3M). Although most of the terminals impinged on resi-
dent neurons in the PAG, contacts between the two popu-
lations of terminals were common (not shown). Terminals
deriving from the parvafox nucleus were sometimes pre-
synaptic and sometimes post-synaptic relative to those that
emanated from the LO-cortex. Axons from the OFC ended primarily with asymmetric syn-
apses, characterized by round synaptic vesicles in the pre-
terminal endings and a thick postsynaptic density (suppl. Figure 1A). In the region of the parvafox, axons of the OFC
themselves received both excitatory (suppl. Figure 1B) as well
as inhibitory, symmetric synapses, characterized by oval syn-
aptic vesicles (suppl. Figure 1C). 1 3 Brain Structure and Function (2019) 224:293–314 309 arising in the LO-cortex. This medial location of the VLO-
projection is also observed in other part of the brain like
the caudatoputamen, and superior colliculi. In the ventral
tegmental area, the projection from the LO-cortex is more
important than the one deriving from the VLO-cortex. There
are also specific projections for each one of these two sub-
divisions of the OFC. The VLO-cortex for example, inner-
vates parts of the visual cortex (Reep et al. 1996), the dorsal
raphe (DR), the dorsolateral column of the PAG, a region
that is also target of the Foxb1-subpopulation of neurons of
the parvafox nucleus (Bilella et al. 2016) and has a specific
projection to the contralateral, dorsal parabrachial nucleus
(LPBrel). The LO-cortex innervates the ethmoid thalamic
nucleus, the basolateral amygdala (Groenewegen et al. 1990;
McDonald et al. 1996) and the ventral part of the submedius
nucleus (Craig et al. 1982). In addition, terminals of the LO/
LO cortex were also observed in nuclei not mentioned in the
previous literature, namely the Gemini nuclei, the lateral
parabrachial nucleus, the pontine nuclei, the reticulotegmen-
tal nucleus, the reticular substance of the brainstem and the
lateral horn of the spinal cord. No major differences in the
projection patterns were detected between rats and mice and
in both species the projections to parvafox, Su3 and PV2
were of comparable intensity. Ultrastructure Fig. 7 Schematic representation of the projections from the LO/
VLO cortex to the rest of the brain. The courses of the major axonal
branches deriving from the LO-cortex in mice are here superim-
posed to reconstructions from the Allen Brain Atlas (experiment no. 112306316). A In this lateral view, the bulk of the axons descend
from the LO-cortex to the lateral hypothalamus at an angle of
~ 120° relative to the surface of the brain (see also Fig. 3e). During
their course, axons send out branches to various parts of the brain: to
the olfactory tubercle (Tu), to the piriform cortex (Pir), the caudate–
putamen (Cpu), various nuclei of the thalamus (TH), the nucleus of
the horizontal limb of the diagonal band (HDB), the magnocellular
hypothalamic nucleus (MCPO), the parvafox nucleus, the Gemini
nucleus (Gem), the ventral tegmental area (VTA), the superior col-
liculus (SC), the Su3 nucleus and the PV2/LTDg-region. The main
track of parent axons arches and sends out projections to the pontine
nuclei (Pn) and the reticulotegmental nucleus (RtTg). It continues its
course more distally to innervate the entire dorsal part of the reticular
substance PcRt, IRt, mRT, MdD, MdV, and ends in the lateral horn of
the cervical spinal cord. B In this frontal view the LO-cortex-derived
projection follows a low-angled course relative to the sagittal plane. It
sends out branches to the motoric and the sensory cortices, the baso-
lateral nucleus of the amygdala (BLA), the thalamus [central medi-
odorsal (MDC) and submedius-(Sub)], the pontine nuclei (Pn) and
the reticulotegmental nucleus (RtTg). C Flat view of the projections
from the LO- and the VLO-cortices to various parts of the brain, as
represented in Swanson’s atlas (Swanson 2004). The axons deriving
from the LO/VLO cortices send out branches and collaterals at vari-
ous levels, mainly ipsilaterally, until the end of the midbrain. In the
medulla oblongata, the thicker collaterals project contralaterally and
the thinner ones ipsilaterally (to simplify the drawing, the collater-
als are drawn only on the side of the brain where they are more pro-
nounced). The axons cross to the contralateral side via the pyramidal
decussation (pyx). Many of the OFC projections to individual targets
depicted here, have been described by earlier authors: we additionally
observed substantial innervation of the parvafox nucleus in the vent-
rolateral hypothalamus and of the Su3- and the PV2 nuclei in the ven-
trolateral PAG. Ultrastructure Furthermore, we recognized terminals in the Gemini
nucleus (Gem), in the lateral parabrachial nucleus LPBreL (all indi-
cated in red) and in the reticular formation. We could also distinguish
between projections that emanated from either the VLO- (green) or
the LO-cortex (light-blue). Each of the indicated structures is men-
tioned in the list of abbreviations. LH lateral horn, DH dorsal horn,
SC superior colliculus, VH ventral horn of the spinal cord. Scale bars
in A, B: 0.6 mm
◂ Using a Cre-dependent rabies virus (Wall et al. 2010;
Wickersham et al. 2007b) the afferences to the Parv- and the
Foxb1-expressing neurons could be studied separately and
selectively in the corresponding Cre-mice. The input to the
Parv-expressing neurons that represent the core of the parva-
fox nucleus originates mainly in the LO-cortex, whereas
the inputs to the Foxb1-expressing neurons derive from the
medial (IL, PrL), the orbitofrontal (MO, VO, VLO, LO) and
even the lateral prefrontal cortices. These projection pat-
terns correspond well with those that have been revealed by
retrograde tracing with peroxidase from the rat ventrolateral
hypothalamus [(Allen and Cechetto 1993) their Fig. 5a]. Our study is the second of its kind in which the anter-
ograde projections of the LO-VLO cortex throughout the
entire brain have been mapped. In the other investigation,
which appeared four decades ago, autoradiographic tech-
niques were implemented to map the staining profiles of
OFC-derived projections after the injection of tritiated
amino acids (Beckstead 1979). In parallel to our study, a
large body of data appertaining to stereotactic injections
into the OFC have been published during the past 3 years in
the ABA (http://www.brain-map.org), some of which reveal
patterns of labelling of the terminal fields that are almost
identical to those that we observed. Our data and those that
are recorded in the ABA largely confirm the previous, pre-
cise observations of Leonard (1969), Beckstead (1979) and
Reep et al. (1996) in the rat as well as for VLO in the cat
(Craig et al. 1982). To the list of known targets, we append
three chemically defined sites (the parvafox-, the Su3- and Discussion The distribution of the terminal fields accorded with our
own observations, although those in the lateral hypothalamic
parvafox nucleus were more sparse (their Fig. 3F). The ter-
minals that were detected in the “ventrolateral wings of the
dorsal raphe nucleus” probably correspond to those in the
region of the Su3-region (their Fig. 3G). The Su3 nucleus is known to project to the contralateral
rostral- and the caudal ventrolateral medulla, which together
constitute the sympathetic cardiovascular control centre
(Chen and Aston-Jones 1996; Van Bockstaele et al. 1989). The Su3 nucleus receives inputs from the medial cerebel-
lar nucleus (fastigium) (Gonzalo-Ruiz and Leichnetz 1987;
Gonzalo-Ruiz et al. 1990) and from the parvafox nucleus
(Bilella et al. 2016; Celio et al. 2013) and is activated dur-
ing predation [of insects as well as by cats (Comoli et al. 2012)]. The connections and functions of the PV2-nucleus
are yet unknown. The hypothalamus and the PAG, two regions of the brain
that harbour the parvafox-, and the Su3- and the PV2 nuclei,
are themselves interconnected. This is a general organiza-
tion, which has been described for the lateral hypothalamus
broadly and for the ventrolateral PAG in particular (Floyd
et al. 2000, 2001). The parvafox nucleus, does not recipro-
cate the projections from the OFC (Bilella et al. 2016; Celio
et al. 2013), either directly or indirectly, via an innervation
of the mediodorsal thalamic nucleus. The findings of the
double retrograde tracing experiments that were conducted
by Gabbott and his colleagues (Gabbott et al. 2005), as well
as by ourselves, indicate that the projection from the LO/
VLO-orbitofrontal cortex is—at least in part—serial, with
the same axon successively innervating multiple subcortical
targets via collaterals. Using the mouse connectivity programme of the Allen
Database (ABA; http://www.brain-map.org) and entering
as source structures various areas of the prefrontal cortex
without any filter for mouse line or tracer type, the results
corresponded well with our own data. For the purpose of
our study, the most relevant injections in the ABA were
the numbers 112423392 and 112306316, since they were
performed in mice of the same wild-type strain (C57/
BI6). But also injections into the genetically modified lines
A930038C07Rik-Tg1-Cr (Cre-recombinase confined to layer
V; no. 168164972) and Rbp4-Cre_KL100 (Cre-recombinase
confined to layer V; no. 287769286) revealed patterns of
projections that accorded with the observations in our own. Discussion Beckstead observed the projection to terminate in
the laterodorsal tegmental nucleus, probably in the region
that we refer to as the PV2 nucleus, owing to its composition
of parvalbumin-expressing neurons (Celio et al. 2013). In
the publication by Jasmin (Jasmin et al. 2004), tracers were
injected into a region which, according to Price’s group is
probably still the LO-cortex but which the former authors
defined as the AIV [images 1a and b in Jasmin et al. (2004)]. The distribution of the terminal fields accorded with our
own observations, although those in the lateral hypothalamic
parvafox nucleus were more sparse (their Fig. 3F). The ter-
minals that were detected in the “ventrolateral wings of the
dorsal raphe nucleus” probably correspond to those in the
region of the Su3-region (their Fig. 3G). the PV2 nuclei). Our knowledge of its existence (Bilella
et al. 2016; Celio et al. 2013; Meszar et al. 2012), guided
our attention to recognize the parvafox, a small elongated
neuronal aggregates as targets of the projections of the LO-
and the VLO-cortices [“Chance favours the prepared mind”
(citation of a statement by Louis Pasteur)]. In the aforemen-
tioned autoradiographic study, the presence of terminals in
a tiny oval region that lay along the optic tract was actu-
ally documented pictorially [injection 8, Fig. 6 (Beckstead
1979)], but not mentioned in the text. From its position, we
presume it to be the parvafox nucleus. The cortical projec-
tion proceeded caudally to the ventrolateral PAG, namely,
to a region that lay dorsal to the nucleus of the third nerve,
which was referred to by Beckstead as a “subaqueductal
portion”, and which approximately corresponds to the ter-
minal field that we observed in the supraoculomotor region
(the Su3 nucleus). A terminal field at precisely the same
location has been described in feline brains after the injec-
tion of tracers into the VLOβ-region [Fig. 15 in Craig et al. (1982)]. Beckstead observed the projection to terminate in
the laterodorsal tegmental nucleus, probably in the region
that we refer to as the PV2 nucleus, owing to its composition
of parvalbumin-expressing neurons (Celio et al. 2013). In
the publication by Jasmin (Jasmin et al. 2004), tracers were
injected into a region which, according to Price’s group is
probably still the LO-cortex but which the former authors
defined as the AIV [images 1a and b in Jasmin et al. (2004)]. Discussion The hypothalamic target of the murine LO/VLO cortical
regions—corresponding to the Area 13a and 13 m/l in pri-
mates—is the newly described parvafox nucleus and its tar-
gets Su3 and PV2 in the PAG. By drawing on self-replicating virus-based tracing tools,
which enhance the sensitivity of connectivity studies, we
have defined three targets of the LO/VLO cortices that have
been hitherto overlooked, namely, the parvafox nucleus
which is located in the ventrolateral hypothalamus, and the
Su3- and the PV2 nuclei which are serially located ventral
to the aqueduct in the periaqueductal grey matter (PAG). Both LO and VLO innervate these three targets, although
partly in different portions: in the SU3-nucleus, for example,
the VLO-projection is located more medially than the one 1 3 3 Brain Structure and Function (2019) 224:293–314 310 frontal eye field, Leichnetz (Leichnetz et al. 1987b) injected
retrograde tracers into the oculomotor nucleus, to which end,
the needle was oriented slightly obliquely (their experiments
OMR2 and OMR3), thereby perforating the supraoculo-
motor region (harbouring the Su3 nucleus). Retrogradely
labelled neurons occurred primarily in the cortex of the dor-
somedial shoulder (the putative rodent homologue of the
primate frontal eye field), scatterings of stained cells were
nevertheless observed throughout the entire OFC (Leichnetz
et al. 1987b). the PV2 nuclei). Our knowledge of its existence (Bilella
et al. 2016; Celio et al. 2013; Meszar et al. 2012), guided
our attention to recognize the parvafox, a small elongated
neuronal aggregates as targets of the projections of the LO-
and the VLO-cortices [“Chance favours the prepared mind”
(citation of a statement by Louis Pasteur)]. In the aforemen-
tioned autoradiographic study, the presence of terminals in
a tiny oval region that lay along the optic tract was actu-
ally documented pictorially [injection 8, Fig. 6 (Beckstead
1979)], but not mentioned in the text. From its position, we
presume it to be the parvafox nucleus. The cortical projec-
tion proceeded caudally to the ventrolateral PAG, namely,
to a region that lay dorsal to the nucleus of the third nerve,
which was referred to by Beckstead as a “subaqueductal
portion”, and which approximately corresponds to the ter-
minal field that we observed in the supraoculomotor region
(the Su3 nucleus). A terminal field at precisely the same
location has been described in feline brains after the injec-
tion of tracers into the VLOβ-region [Fig. 15 in Craig et al. (1982)]. Discussion In addition to its role in olfactory processing and in vis-
ceromotor activity, the OFC is best known for its involve-
ment in the expression of emotion and in reward-driven
decision-making (Bechara et al. 2000; Rolls 2000; Schultz
et al. 2000). This co-habitation of sensory, autonomic and
behavioural networks in the OFC permits the “integration
of primitive autonomic mechanisms (such as are associated
with instinctive urges or emotional reactions) with neural
activities at the highest functional level of the brain” (Clark
Le Gros and Meyer 1950).i The lateral hypothalamic region in which the parvafox
nucleus is located receives inputs from various olfactory
regions and from the amygdala (Price et al. 1991). Each of
these areas has reciprocal connections with the OFC, which
the findings of our study have revealed to target, non-recip-
rocally, the neurons of the parvafox nucleus. Furthermore,
the olfactory tubercle projects to the Gemini nuclei, which
are also targeted by the LO/VLO-cortex-derived projection
and by the parvafox. It remains to be established whether
the parvafox- or the Gemini nuclei have any distinct olfac-
tory functions. The olfactory projection to the ventrolateral
hypothalamus may regulate autonomic or neuroendocrine
functions or related behaviours (Price et al. 1991), or it may
simply contribute olfactory information to be integrated with
other influences. Patients with lesions in the OFC [specifically of the VM],
manifest an impaired ability to generate anticipatory “skin
conductance responses” (SCR) to a conceived outcome of
an action (Bechara et al. 2005; Damasio 1996). SCRs are
emotional signals (somatic marker) that are generated by
the activity of the autonomic nervous system, of which the
hypothalamus is the main organizer (Hess 1947, 1957). Future studies will reveal whether the OFC → parvafox
→ PAG network that we have delineated in our study is the
scaffold on which the first-named region engages the auto-
nomic nervous system. In analogy to the SCRs, the OFC →
parvafox → PAG network could also affect the physiology
of the cardiovascular and the respiratory systems (Rainville
et al. 2006) and be involved in pathologies thereof that relate
to disturbances in high mental activities (Pickering et al. 1996). l
In addition to its involvement in the processing of olfac-
tory and gustatory information, the OFC also controls the
cardiovascular and the respiratory systems (Fuster 2008). Discussion Part of the projection from the LO/VLO-cortex stems
from parvalbumin-expressing neurons, which represent a
sub-population of cortical GABAergic cells (Celio 1986). Long-range-projecting neurons expressing NO-synthase
have been observed to connect cortical areas (Tamamaki and
Tomioka 2010) and parvalbumin-expressing GABAergic
ones are known to project from the medial prefrontal cortex
to the nucleus accumbens (Lee et al. 2014). These parval-
bumin-expressing neurons in the OFC are well positioned
for a “top-down” inhibitory control of subcortical processes
(Fuster 2008). In our study, their GABAergic nature was
suggested by the presence of GAD-immunoreactive axonal
endings on neurons in the parvafox nucleus. However, injec-
tions of Cre-dependent tracers into VGAT-ires-cre mice
(in which Cre-recombinase is expressed in the bodies of
GABAergic neurons), revealed the presence of only a few
projections outside the cortex (not shown). In the ABA, the The precise targets of the OFC-derived projection in the
PAG are, with a high degree of axial and radial specificity,
the Su3 nucleus, which is located slightly dorsolateral to the
oculomotor nucleus, and the parvalbumin-expressing ones
in the PV2 nucleus, which is located in the posterodorsal
raphe nucleus (PDR) and rostral portion of the dorsolateral
tegmental nucleus (LDTg). With a view to mapping the 1 3 1 3 311 Brain Structure and Function (2019) 224:293–314 injection of a tracer into the VLO of a Slc32a1-IRES-Cre
mouse (VGAT) revealed no projecting axons (injection no. 309580102). Sweet 1940; Chapman et al. 1948; Delgado et al. 1960; Fer-
nandez De Molina and; Hunsperger 1962, 1956; Gelsema
et al. 1989; Hall and Cornish 1977; Hess 1957; Kaada
et al. 1953; Loewy 1991; Ruggiero et al. 1987; Sachs et al. 1949; Verberne 1996; Verberne and Owens 1998; Yasui
et al. 1991). The rat LO-cortex has been hitherto regarded as a con-
stituent of the orbital network (Krettek and Price 1977) and
to be more of a “sensory” than a visceromotor region. In
addition to many other cerebral sites that have been reported
by various authors, we have demonstrated the LO-cortex
to project to circumscribed horizontal columns of neurons
in the parvafox nucleus of the ventrolateral hypothalamus
in the SU3 and the PV2 nuclei of the PAG. These findings
suggest that the subdivision of the OCF-cortex into sensory
and visceromotoric regions may not be as absolute in rodents
as it is in monkeys (Price 2007). Discussion The pioneering work of electrophysiologists revealed the
most prominent consequences of stimulating Area 13 of the
OFC in primates to be manifested in the cardiovascular and
the respiratory systems (Fuster 2008). The effects include
changes in blood pressure, heart rate, cardiac dynamics, res-
piratory rate and skin temperature (Bailey and Sweet 1940;
Chapman et al. 1948; Delgado et al. 1960; Hall and Cornish
1977; Kaada et al. 1953; Sachs et al. 1949; Spencer 1894),
which can even lead to cardiac histopathology (Hall and
Cornish 1977). An exploration of various parts of the brain
with electrodes whilst stimulating the OFC with strychnine
(neuronography) has permitted a mapping of the connec-
tions of Area 13 with the lateral hypothalamus, particularly
with the ventrolateral region in which the median forebrain
bundle resides (Sachs et al. 1949; Ward and McCulloch
1947). Interestingly, some of the autonomic effects that are
evoked by stimulation of the OFC may be likewise elicited
by stimulating the lateral hypothalamic region (where the
parvafox is located) and the ventrolateral PAG (where the
Su3 and PV2 nuclei are found), which receive these corti-
cal afferences. (Allen and Cechetto 1992, 1993; Bailey and Acknowledgements We thank Laurence Clément, Christiane Marti and
Rachel Ververidis for technical and administrative assistance. Funding This work was supported by the Canton of Fribourg
and by a grant of the Swiss National Foundation (Grant number
31003A_160325). Compliance with ethical standards Ethical approval All procedures performed in studies involving ani-
mals were in accordance with the ethical standards of the institution
or practice at which the studies were conducted. Conflict of interest The authors declare that they have no conflict of
interest. Conflict of interest The authors declare that they have no conflict of
interest. References J Physiol 160:200–213 Beckstead RM (1979) An autoradiographic examination of corticocor-
tical and subcortical projections of the mediodorsal-projection
(prefrontal) cortex in the rat. J Comp Neurol 184(1):43–62 Floyd NS, Price JL, Ferry AT, Keay KA, Bandler R (2000) Orbit-
omedial prefrontal cortical projections to distinct longitudinal
columns of the periaqueductal gray in the rat. J Comp Neurol
422(4):556–578 Berendse HW, Galis-de Graaf Y, Groenewegen HJ (1992) Topographi-
cal organization and relationship with ventral striatal compart-
ments of prefrontal corticostriatal projections in the rat. J Comp
Neurol 316(3):314–347 Floyd NS, Price JL, Ferry AT, Keay KA, Bandler R (2001) Orbit-
omedial prefrontal cortical projections to hypothalamus in the
rat. J Comp Neurol 432(3):307–328 Bilella A, Alvarez-Bolado G, Celio MR (2014) Coaxiality of Foxb1-
and parvalbumin-expressing neurons in the lateral hypothalamic
PV1-nucleus. Neurosci Lett 566:111–114 Franklin K, Chudasama BJY (2012) Prefrontal cortex. In: Watson C,
Paxinos G, Puelles L (eds) The mouse nervous system. Aca-
demic Press, Amsterdam Bilella A, Alvarez-Bolado G, Celio MR (2016) The Foxb1-expressing
neurons of the ventrolateral hypothalamic parvafox nucleus pro-
ject to defensive circuits. J Comp Neurol 524(15):2955–2981 Franklin K, Paxinos BJG (2008) The mouse brain in stereotaxic
coordinates. Elsevier, Amsterdam Carmichael ST, Price JL (1994) Architectonic subdivision of the orbital
and medial prefrontal cortex in the macaque monkey. J Comp
Neurol 346(3):366–402 Fuster JM (2008) The prefrontal cortex. Elsevier Academic Press,
Amsterdam Carmichael ST, Price JL (1996) Connectional networks within the
orbital and medial prefrontal cortex of macaque monkeys. J
Comp Neurol 371(2):179–207 Gabbott PL, Warner TA, Jays PR, Salway P, Busby SJ (2005) Pre-
frontal cortex in the rat: projections to subcortical autonomic,
motor, and limbic centers. J Comp Neurol 492(2):145–177 Carrive P, Paxinos G (1994) The supraoculomotor cap: a region
revealed by NADPH diaphorase histochemistry. Neuroreport
5(17):2257–2260 Geerling JC, Kim M, Mahoney CE, Abbott SB, Agostinelli LJ,
Garfield AS, Krashes MJ, Lowell BB, Scammell TE (2016)
Genetic identity of thermosensory relay neurons in the lateral
parabrachial nucleus. Am J Physiol Regul Integr Comp Physiol
310(1):R41–R54 Celio MR (1986) Parvalbumin in most gamma-aminobutyric
acid-containing neurons of the rat cerebral cortex. Science
231(4741):995–997 Gelsema AJ, Roe MJ, Calaresu FR (1989) Neurally Mediated Car-
diovascular-Responses to Stimulation of Cell-Bodies in the
Hypothalamus of the Rat. Brain Res 482(1):67–77 Celio MR (1990) Calbindin D-28 k and parvalbumin in the rat nervous
system. References Chen S, Aston-Jones G (1996) Extensive projections from the mid-
brain periaqueductal gray to the caudal ventrolateral medulla: a
retrograde and anterograde tracing study in the rat. Neuroscience
71(2):443–459 Allen GV, Cechetto DF (1992) Functional and anatomical organiza-
tion of cardiovascular pressor and depressor sites in the lateral
hypothalamic area 1. Descending projections. J Comp Neurol
315(3):313–332 Clark Le Gros WE, Meyer M (1950) Anatomical relationships
between the cerebral cortex and the hypothalamus. Br Med
Bull 6(4):341–345fi Allen GV, Cechetto DF (1993) Functional and anatomical organiza-
tion of cardiovascular pressor and depressor sites in the lateral
hypothalamic area 2. Ascending projections. J Comp Neurol
330(3):421–438 Coffield JA, Bowen KK, Miletic V (1992) Retrograde tracing of
projections between the nucleus submedius, the ventrolateral
orbital cortex, and the midbrain in the rat. J Comp Neurol
321(3):488–499 Alvarez-Bolado G, Zhou X, Cecconi F, Gruss P (2000) Expres-
sion of Foxb1 reveals two strategies for the formation of
nuclei in the developing ventral diencephalon. Dev Neurosci
22(3):197–206 Comoli E, Das Neves Favaro P, Vautrelle N, Leriche M, Overton PG,
Redgrave P (2012) Segregated anatomical input to sub-regions
of the rodent superior colliculus associated with approach and
defense. Front Neuroanat 6:9 Bacon SJ, Smith AD (1993) A monosynaptic pathway from an
identified vasomotor centre in the medial prefrontal cortex to
an autonomic area in the thoracic spinal cord. Neuroscience
54(3):719–728f Craig AD Jr, Wiegand SJ, Price JL (1982) The thalamo-cortical pro-
jection of the nucleus submedius in the cat. J Comp Neurol
206(1):28–48 Damasio AR (1996) The somatic marker hypothesis and the possible
functions of the prefrontal cortex. Philos Trans R Soc Lond B
Biol Sci 351(1346):1413–1420 Bailey P, Sweet WH (1940) Effects on respiration, blood pressure and
gastric motility of stimulation of orbital surface of frontal lobe. J Neurophysiol 3(3):276–281 Delgado JMR, Mihailovic L, Sevillano M (1960) Cardiovascu-
lar Phenomena during Seizure Activity. J Nerv Ment Dis
130(6):477–487 Bechara A, Damasio H, Damasio AR (2000) Emotion, decision making
and the orbitofrontal cortex. Cereb Cortex 10(3):295–307 Bechara A, Damasio H, Tranel D, Damasio AR (2005) The Iowa Gam-
bling Task and the somatic marker hypothesis: some questions
and answers. Trends Cogn Sci 9(4):159–162 Dong HW (2008) Allen reference atlas: a digital color brain atlas of
the C57Bl/6J male mouse. Wiley-Liss Fernandez De Molina A, Hunsperger RW (1962) Organization of the
subcortical system governing defence and flight reactions in
the cat. Conflict of interest The authors declare that they have no conflict of
interest. Open Access This article is distributed under the terms of the Crea-
tive Commons Attribution 4.0 International License (http://creativeco
mmons.org/licenses/by/4.0/), which permits unrestricted use, distribu-
tion, and reproduction in any medium, provided you give appropriate
credit to the original author(s) and the source, provide a link to the
Creative Commons license, and indicate if changes were made. 1 3 312 Brain Structure and Function (2019) 224:293–314 References Brain Behav Evol 19(3–4):93–107 McDonald AJ, Mascagni F, Guo L (1996) Projections of the medial and
lateral prefrontal cortices to the amygdala: a Phaseolus vulgaris
leucoagglutinin study in the rat. Neuroscience 71(1):55–75 Hall RE, Cornish K (1977) Role of orbital cortex in cardiac dys-
function in unanesthetized rhesus-monkey. Exp Neurol
56(2):289–297 Meszar Z, Girard F, Saper CB, Celio MR (2012) The lateral hypotha-
lamic parvalbumin-immunoreactive (PV1) nucleus in rodents. J
Comp Neurol 520(4):798–815 Hardy SG (1986) Projections to the midbrain from the medial
versus lateral prefrontal cortices of the rat. Neurosci Lett
63(2):159–164 Ogawa SK, Cohen JY, Hwang D, Uchida N, Watabe-Uchida M (2014)
Organization of monosynaptic inputs to the serotonin and dopa-
mine neuromodulatory systems. Cell Rep 8(4):1105–1118 Hardy SG (1994) Anatomical data supporting the concept of prefrontal
influences upon hypothalamo-medullary relays in the rat. Neuro-
sci Lett 169(1–2):17–20 Oh SW, Harris JA, Ng L, Winslow B, Cain N, Mihalas S, Wang Q, Lau
C, Kuan L, Henry AM, Mortrud MT, Ouellette B, Nguyen TN,
Sorensen SA, Slaughterbeck CR, Wakeman W, Li Y, Feng D, Ho
A, Nicholas E, Hirokawa KE, Bohn P, Joines KM, Peng H, Haw-
rylycz MJ, Phillips JW, Hohmann JG, Wohnoutka P, Gerfen CR,
Koch C, Bernard A, Dang C, Jones AR, Zeng H (2014) A mes-
oscale connectome of the mouse brain. Nature 508(7495):207–214 Hess WR (1947) Vegetative Funktionen und Zwischenhirn. Helv Phys-
iol et Pharmakol Acta Suppl. IV:1–89 Hess WR (1957) The functional organization of the diencephalon. Hughes JR (ed) New York: Grune & Stratton. 180 p Hippenmeyer S, Vrieseling E, Sigrist M, Portmann T, Laengle C, Ladle
DR, Arber S (2005) A developmental switch in the response of
DRG neurons to ETS transcription factor signaling. PLoS Biol
3(5):e159f Ongur D, Price JL (2000) The organization of networks within the
orbital and medial prefrontal cortex of rats, monkeys and
humans. Cereb Cortex 10(3):206–219 Hunsperger RW (1956) Affekreaktionen auf elektrische Reizung im
Hirnstamm der Katze. Helv Physiol Acta 14:70–92f Ongur D, An X, Price JL (1998) Prefrontal cortical projections
to the hypothalamus in macaque monkeys. J Comp Neurol
401(4):480–505 Hurley KM, Herbert H, Moga MM, Saper CB (1991) Efferent pro-
jections of the infralimbic cortex of the rat. J Comp Neurol
308(2):249–276 Ongur D, Ferry AT, Price JL (2003) Architectonic subdivision of the
human orbital and medial prefrontal cortex. References J Comp Neurol
460(3):425–449 Illig KR (2005) Projections from orbitofrontal cortex to anterior piri-
form cortex in the rat suggest a role in olfactory information
processing. J Comp Neurol 488(2):224–231 Paxinos G, Franklin K, B.,J (2013) The mouse brain in stereotaxic
coordinates. Elsevier, Amsterdam p
g
p
Jasmin L, Burkey AR, Granato A, Ohara PT (2004) Rostral agranular
insular cortex and pain areas of the central nervous system: a
tract-tracing study in the rat. J Comp Neurol 468(3):425–440 Pickering TG, Devereux RB, James GD, Gerin W, Landsbergis P,
Schnall PL, Schwartz JE (1996) Environmental influences on
blood pressure and the role of job strain. J Hypertens Suppl
14(5):S179–S185 Jones EG, Leavitt RY (1974) Retrograde axonal transport and the dem-
onstration of non-specific projections to the cerebral cortex and
striatum from thalamic intralaminar nuclei in the rat, cat and
monkey. J Comp Neurol 154(4):349–377 Price JL (1985) Beyond the primary olfactory cortex—olfactory-
related areas in the neocortex, thalamus and hypothalamus. Chem
Senses 10(2):239–258ii Price JL (2007) Definition of the orbital cortex in relation to specific
connections with limbic and visceral structures and other cortical
regions. Ann NY Acad Sci 1121:54–71 Kaada BR, Jansen J, Andersen P (1953) Stimulation of the hippocam-
pus and medial cortical areas in unanesthetized cats. Neurology
3(11):844–857 Krettek JE, Price JL (1977) The cortical projections of the mediodorsal
nucleus and adjacent thalamic nuclei in the rat. J Comp Neurol
171(2):157–191 Price JL, Slotnick BM (1983) Dual olfactory representation in the rat
thalamus: an anatomical and electrophysiological study. J Comp
Neurol 215(1):63–77 Price JL, Slotnick BM, Revial MF (1991) Olfactory projections to the
hypothalamus. J Comp Neurol 306(3):447–461 Lee AT, Vogt D, Rubenstein JL, Sohal VS (2014) A class of GABAer-
gic neurons in the prefrontal cortex sends long-range projections
to the nucleus accumbens and elicits acute avoidance behavior. J Neurosci 34(35):11519–11525 Rainville P, Bechara A, Naqvi N, Damasio AR (2006) Basic emotions
are associated with distinct patterns of cardiorespiratory activity. Int J Psychophysiol 61(1):5–18 Leichnetz GR, Gonzalo-Ruiz A (1987a) Collateralization of frontal eye
field (medial precentral/anterior cingulate) neurons projecting to
the paraoculomotor region, superior colliculus and medial pon-
tine reticular formation in the rat: a fluorescent double labeling
study. Exp Brain Res 68:355–364 Ray JP, Price JL (1993) The organization of projections from the medi-
odorsal nucleus of the thalamus to orbital and medial prefrontal
cortex in macaque monkeys. References Neuroscience 35(2):375–475 Celio MR, Babalian A, Ha QH, Eichenberger S, Clement L, Marti
C, Saper CB (2013) Efferent connections of the parvalbumin-
positive (PV1) nucleus in the lateral hypothalamus of rodents. J
Comp Neurol 521(14):3133–3153 Gerig AT, Celio MR (2007) The human lateral tuberal nucleus:
Immunohistochemical characterization and analogy to the
rodent PV1-nucleus. Brain Res 1139:110–116 Girard F, Meszar Z, Marti C, Davis FP, Celio M (2011) Gene
expression analysis in the parvalbumin-immunoreactive PV1
nucleus of the mouse lateral hypothalamus. Eur J Neurosci
34(12):1934–1943 Chamberlin NL, Du B, de Lacalle S, Saper CB (1998) Recombi-
nant adeno-associated virus vector: use for transgene expres-
sion and anterograde tract tracing in the CNS. Brain Res
793(1–2):169–175f Gonzalo-Ruiz A, Leichnetz GR (1987) Collateralization of cerebel-
lar efferent projections to the paraoculomotor region, superior
colliculus and medial pontine reticular formation in the rat: a
fluorescence double-labeling study. Ex Brain Res 68:365–378 Chapman WP, Livingston RB, Livingston KE (1948) The Effect on
Respirations and Blood Pressure of Electrical Stimulation of the
Orbital Surface of the Frontal Lobe and of Frontal Lobotomy in
Man. J Clin Investig 27(4):529–529 1 3 Brain Structure and Function (2019) 224:293–314 313 Gonzalo-Ruiz A, Leichnetz GR, Hardy SG (1990) Projections of the
medial cerebellar nucleus to oculomotor-related midbrain areas
in the rat: an anterograde and retrograde HRP study. J Comp
Neurol 296(3):427–436f Leichnetz GR, Hardy SG, Carruth MK (1987a) Frontal projections to
the region of the oculomotor complex in the rat: a retrograde and
anterograde HRP study. J Comp Neurol 263(3):387–399 Leichnetz GR, Hardy SGP, Carruth MK (1987b) Frontal Projec-
tions to the region of the oculomotor complex in the rat—a
retrograde and anterograde Hrp study. J Comp Neurol
263(3):387–399 Groenewegen HJ (1988) Organization of the afferent connections of
the mediodorsal thalamic nucleus in the rat, related to the med-
iodorsal-prefrontal topography. Neuroscience 24(2):379–431 Leonard CM (1969) Prefrontal cortex of rat. I. Cortical Projection
of Mediodorsal Nucleus .2. Efferent Connections. Brain Res
12(2):321 Groenewegen HJ, Berendse HW, Wolters JG, Lohman AH (1990)
The anatomical relationship of the prefrontal cortex with the
striatopallidal system, the thalamus and the amygdala: evi-
dence for a parallel organization. Prog Brain Res 85:95–116 Loewy AD (1991) Forebrain nuclei involved in autonomic control. Prog Brain Res 87:253–268 Guldin WO, Pritzel M, Markowitsch HJ (1981) Prefrontal cortex of
the mouse defined as cortical projection area of the thalamic
mediodorsal nucleus. References J Comp Neurol 337(1):1–31 Reep RL, Corwin JV, King V (1996) Neuronal connections of orbital
cortex in rats: topography of cortical and thalamic afferents. Exp
Brain Res 111(2):215–232i Leichnetz GR, Gonzalo-Ruiz A (1987b) Collateralization of frontal eye
field (medial precentral/anterior cingulate) neurons projecting to
the paraoculomotor region, superior colliculus, and medial pon-
tine reticular formation in the rat: a fluorescent double-labeling
study. Exp Brain Res 68(2):355–364 Reynolds SM, Zahm DS (2005) Specificity in the projections of pre-
frontal and insular cortex to ventral striatopallidum and the
extended amygdala. J Neurosci 25(50):11757–11767 1 3 314 Brain Structure and Function (2019) 224:293–314 Rolls ET (2000) The orbitofrontal cortex and reward. Cereb Cortex
10(3):284–294 Verberne AJM, Owens NC (1998) Cortical modulation of the cardio-
vascular system. Prog Neurobiol 54(2):149–168f y
g
( )
Vertes RP (2004) Differential projections of the infralimbic and pre-
limbic cortex in the rat. Synapse 51(1):32–58 Ruggiero DA, Mraovitch S, Granata AR, Anwar M, Reis DJ (1987) A
role of insular cortex in cardiovascular function. J Comp Neurol
257(2):189–207 Wall NR, Wickersham IR, Cetin A, De La Parra M, Callaway EM
(2010) Monosynaptic circuit tracing in vivo through Cre-depend-
ent targeting and complementation of modified rabies virus. Proc
Natl Acad Sci U S A 107(50):21848–21853 ( )
Sachs E, Brendler SJ, Fulton JF (1949) The Orbital Gyri Brain
72(2):227–240 g
g
pi
Natl Acad Sci U S A 107(50):21848–21853 Schilman EA, Uylings HB, Galis-de Graaf Y, Joel D, Groenewegen
HJ (2008) The orbital cortex in rats topographically projects to
central parts of the caudate-putamen complex. Neurosci Lett
432(1):40–45 Ward AA, McCulloch WS (1947) The projection of the frontal lobe on
the hypothalamus. J Neurophysiol 10(4):309–314 Watabe-Uchida M, Zhu L, Ogawa SK, Vamanrao A, Uchida N (2012)
Whole-brain mapping of direct inputs to midbrain dopamine neu-
rons. Neuron 74(5):858–873 Schultz W, Tremblay L, Hollerman JR (2000) Reward processing in
primate orbitofrontal cortex and basal ganglia. Cereb Cortex
10(3):272–284 Wickersham IR, Finke S, Conzelmann KK, Callaway EM (2007a) Ret-
rograde neuronal tracing with a deletion-mutant rabies virus. Nat
Methods 4(1):47–49 Sesack SR, Deutch AY, Roth RH, Bunney BS (1989) Topographical
organization of the efferent projections of the medial prefrontal
cortex in the rat: an anterograde tract-tracing study with Pha-
seolus vulgaris leucoagglutinin. References J Comp Neurol 290(2):213–242f Wickersham IR, Lyon DC, Barnard RJ, Mori T, Finke S, Conzelmann
KK, Young JA, Callaway EM (2007b) Monosynaptic restriction
of transsynaptic tracing from single, genetically targeted neurons. Neuron 53(5):639–647 Spencer WG (1894) The effect produced upon respiration by faradic
excitation of the cerebrum in the monkey, dog, cat and rabbit. Philos Trans B 185:609–657 Wyss JM, Sripanidkulchai K (1984) The topography of the mesence-
phalic and pontine projections from the cingulate cortex of the
rat. Brain Res 293(1):1–15 Swanson LW (2004) Brain maps: the structure of the rat brain. Elsevier
Academic Press, San Diegof Takagishi M, Chiba T (1991) Efferent projections of the infralimbic
(area 25) region of the medial prefrontal cortex in the rat: an
anterograde tracer PHA-L study. Brain Res 566(1–2):26–39 Yasui Y, Breder CD, Saper CB, Cechetto DF (1991) Autonomic
responses and efferent pathways from the insular cortex in the
rat. Journal of Comparative Neurology 303(3):355–374ff g
y
Tamamaki N, Tomioka R (2010) Long-Range GABAergic Connections
Distributed throughout the Neocortex and their Possible Func-
tion. Front Neurosci 4:202f Yoshida A, Dostrovsky JO, Chiang CY (1992) The afferent and efferent
connections of the nucleus submedius in the rat. J Comp Neurol
324(1):115–133 Van Bockstaele EJ, Pieribone VA, Aston-Jones G (1989) Diverse affer-
ents converge on the nucleus paragigantocellularis in the rat ven-
trolateral medulla: retrograde and anterograde tracing studies. J
Comp Neurol 290(4):561–584 Zhang X, Hannesson DK, Saucier DM, Wallace AE, Howland J, Cor-
coran ME (2001) Susceptibility to kindling and neuronal con-
nections of the anterior claustrum. J Neurosci 21(10):3674–3687 Zhao T, Zhou X, Szabo N, Leitges M, Alvarez-Bolado G (2007)
Foxb1-driven Cre expression in somites and the neuroepi-
thelium of diencephalon, brainstem, and spinal cord. Genesis
45(12):781–787 Verberne AJM (1996) Medullary sympathoexcitatory neurons are
inhibited by activation of the medial prefrontal cortex in the rat. Am J Physiol-Reg I 270(4):R713–R719 1 3 1 3 3
|
https://openalex.org/W2956526359
|
https://europepmc.org/articles/pmc6735767?pdf=render
|
English
| null |
TERC promotes cellular inflammatory response independent of telomerase
|
Nucleic acids research
| 2,019
|
cc-by
| 11,027
|
ABSTRACT positive cells, including human stem cells and most cancer
cells (2,3). However, TERC is also ubiquitously expressed
in terminally differentiated human somatic cells, which do
not express TERT and therefore have no telomerase activ-
ity (4). The function of TERC in these cells remains largely
unknown. In telomerase positive cells, the level of TERC
is often higher than that required to form telomerase with
TERT (5,6). For telomerase negative cancers, termed alter-
native lengthening of telomeres (ALT) cancers, TERC is of-
ten detected, but TERT is lacking (7). TERC has been con-
sidered for a long time as a nonfunctional RNA waiting
for TERT to form active telomerase. However, recent dis-
coveries hypothesized that TERC may play a role beyond
telomerase. For instance, Gazzaniga et al. found that TERC
has telomerase independent anti-apoptotic functions in hu-
man T cells (8). In addition, it has been reported that TERC
is involved in regulating ATR-mediated DNA damage sig-
nals and in activation of DNA-PKcs that phosphorylates
hnRNP A1 in a telomerase independent manner (9,10). TERC is an RNA component of telomerase. However,
TERC is also ubiquitously expressed in most hu-
man terminally differentiated cells, which don’t have
telomerase activity. The function of TERC in these
cells is largely unknown. Here, we report that TERC
enhances the expression and secretion of inflam-
matory cytokines by stimulating NK-B pathway in
a telomerase-independent manner. The ectopic ex-
pression of TERC in telomerase-negative cells alters
the expression of 431 genes with high enrichment
of those involved in cellular immunity. We perform
genome-wide screening using a previously identified
‘binding motif’ of TERC and identify 14 genes that are
transcriptionally regulated by TERC. Among them,
four genes (LIN37, TPRG1L, TYROBP and USP16)
are demonstrated to stimulate the activation of NK-
B pathway. Mechanistically, TERC associates with
the promoter of these genes through forming RNA–
DNA triplexes, thereby enhancing their transcription. In vivo, expression levels of TERC and TERC target
genes (TYROBP, TPRG1L and USP16) are upregu-
lated in patients with inflammation-related diseases
such as type II diabetes and multiple sclerosis. Col-
lectively, these results reveal an unknown function
of TERC on stimulating inflammatory response and
highlight a new mechanism by which TERC modu-
lates gene transcription. TERC may be a new target
for the development of anti-inflammation therapeu-
tics. p
( ,
)
LncRNAs may regulate gene expression in different ways. C⃝The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which
permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT For instance, lncRNAs can modulate the epigenetic status
of target genes, influencing their transcription (11). In addi-
tion, lncRNA may up- or downregulate gene transcription
in cis by associating with their promoters (12). In this sce-
nario, recent studies found that lncRNA-chromatin interac-
tion is highly sequence dependent with many ‘binding mo-
tifs’ exiting in lncRNA (13). It is thus proposed that using its
binding motif, lncRNA may hybridize with targeted genes
and regulate their transcription. Indeed, it has been demon-
strated that many lncRNA–DNA interactions are mediated
by formation of RNA–DNA triplexes (14–16). Although
the ‘binding motif’ of TERC was identified years ago and it
is hypothesized that as a typical lncRNA, TERC may par-
ticipate in the regulation of gene transcription, whether and
how many genes are transcriptionally regulated by TERC
still remained elusive. TERC promotes cellular inflammatory response
independent of telomerase
Haiying Liu1, Yiding Yang1, Yuanlong Ge1, Juanhong Liu2 and Yong Zhao1,*
1MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University
510006, P.R. China and 2Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhon
of Science and Technology, Wuhan, Hubei 430030, P.R. China eceived March 27, 2019; Revised June 09, 2019; Editorial Decision June 23, 2019; Accepted July 05, 2019 Published online 11 July 2019 Published online 11 July 2019 8084–8095
Nucleic Acids Research, 2019, Vol. 47, No. 15
doi: 10.1093/nar/gkz584 *To whom correspondence should be addressed. Tel: +86 20399 43401; Fax: +86 20399 43778. Email: zhaoy82@mail.sysu.edu.cn C⃝The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://crea
permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Melting profiles The ds-promoter segments of LIN37, TPRG1L, TYROBP
and USP16 (in Table 1) were formed and mixed with or
without TERC or TERC1–49nt at the ratio of 1:1 (mole). The melting profile was obtained in q-PCR working buffer
containing SYSB green I in LightCycler 480 (Roche). Sam-
ples were incubated at 60◦C for 1 min, and then increased
to 95◦C at the rate of 2.5◦C/s. Fluorescence intensity was
detected at 0.2◦C interval. ChIRP-PCR assay The ChIRP pull down assay was performed exactly as
previously reported (13,21) using odd probes of TERC and
lacZ. The product was detected by PCR with primers tar-
geting promoters containing potential TERC binding sites. The potential target genes and PCR primer sequences are
as follows: Lin37: F 5’-TTGGTCAGGATGCGAGATT-
3’,
R
5’-TCCTCCGCCTTTGGTTGT-3’;
TPRG1L:
F
5’-GCAAGGCGGAGCCAATCG-3’,
R
5’-
ACCCCTTACCGACCCCGAC-3’;
TYROBP:
F
5’-CAAGTGAAGGAGGAAGTCTGA-3’,
R
5’-
CCTGATTCTTTCTTGGGTTTT
-3’;
USP16:
F
5’-
TCAGAGCCGATGGTCCCG -3’, R 5’- CTCCGTCTTC-
CTCCTGGTGA -3’. Electrophoretic mobility shift assay Oligonucleotides were synthesized (Generay, China) and
annealed into dsDNA in binding buffer (10 mM Tris–HCl
pH7.4, 125 mM NaCl, 6 mM MgCl2). Oligonucleotides
were heated at 95◦C for 3 min and cooled down to 50◦C
with every 5◦C interval (90, 85, 80◦C...) helding for 3 min. In
vitro TERC transcription was performed using High Yield
Transcription Kit (Ambion), 450 nt Scramble sequence was
used as a control. 1pmol of dsDNA was incubated with dif-
ferent amounts of TERC in binding buffer for 2 h at 42◦C. The samples were analyzed on 2% agarose gel at 4◦C. p
SiRNAs were used to knock down genes. SiRNA trans-
fection was carried out with Lipofectamine RNAiMAX
(Invitrogen) according to the manufacturer’s instructions. Experiments were performed 72 h after siRNA transfection. The sequences of siRNAs are as follows: TERC si1: GUCU
AACCCUAACUGAGAAGG; TERC si2: CCGUUCAU
UCUAGAGCAAAC; Lin37 si1: GCAGCGAUCCAACA
CAUAU; Lin37 si2: CCAACACAUAUGUGAUCAA; SL
C26A1 si1: GCAACACCCAUGGCAAUUA; SLC26A1
si2: GCCUCUAUACGUCCUUCUU; TPRG1L si1: CC
AUUUCCUACGGAGAAUU; TPRG1L si2: GGAAUC
CCUGGUCUACCAA; TYROBP si1: GGUGCUGACA
GUGCUCAUU; TYROBP si2: UCCUUCACUUGCCU
GGACG; USP16 si1: CCAUGAGCCAGUUUCUUAA;
USP16 si2: GCAGAUGCUAAUUUCUCUU; Potential TERC binding site search in the promoter database Promoter sequences of Homo sapiens were downloaded
from Eukaryotic Promoter Database (https://epd.vital-it. ch/index.php) (20). Promoters containing at least 10 con-
tinuous nucleotides of ‘GGCCACCACCCC’ or its reverse
complement sequence were defined as potential binding
sites of TERC. Reagents Antibodies to phosphorylated STAT3, STAT3, phosphory-
lated p65 and p65 were purchased from Beyotime (Shang-
hai, China). The AKT inhibitor perifosine, NF-B cofac-
tor IB inhibitor bay11-7082, and STAT3 inhibitor Stat-
tic were from EFEbio (Shanghai, China). LPS was from
Sigma. TNF- was from PeproTech. ELISA kits for cy-
tokines were purchased from 4A Biotech (Beijing China). ELISA and Western blotting For detection of cytokine secretion, U2OS cells were treated
with 10 ng/ml TNF-, whereas B2-17 cells were treated
with 1 g/ml LPS for 6 h. The culture medium was collected
and cytokines were detected using corresponding ELISA
kits. For Western blotting, U2OS cells were treated with
or without TNF- for indicated times. To inhibit NF-B Cell culture, vectors, and transfections Cells were cultured in Dulbecco’s modified Eagle’s medium
(Gibco) with 10% fetal bovine serum, 100 U/ml penicillin
and 100 g/ml streptomycin. To generate TERC stably
overexpressing cell line, 293T cells were transfected with
pBabe-TERC or empty pBabe plasmid and the retrovi-
ral packaging plasmids pCMV-VSV.G and pCMV-Gag-Pol
(Addgene) using calcium phosphate precipitation. The vi-
ral supernatants were collected 72 h after transfection, ul-
tracentrifuged at 40 000 rpm for 2h at 4◦C, and then used to
infect U2OS cells. Forty-eight hours later, cells were selected
with 2 g/ml puromycin for 3 days. The retained cells were
cultured in 1 g/ml puromycin to produce a polyclonal cell
population. The NF-B luciferase plasmid was a gift from
Prof. Jun Cui at Sun Yat-sen University. Plasmid contains
a firefly luciferase gene driven by minimal TATA promoter
with NF-B response elements. INTRODUCTION Here, we reported a new function of TERC as an
lncRNA. It stimulates the NF-B pathway and increases
the expression and secretion of inflammation cytokines. By
screening the genome for potential TERC binding sites in
promoters, we identified 30 genes, of which four (LIN37, Human telomerase RNA component (TERC) is a 451 nt
long, noncoding RNA (lncRNA) that is an essential com-
ponent of telomerase. TERC serves as a template for re-
verse transcriptase TERT, which adds GGTTAG repeats to
chromosome ends (1). TERC is expressed in all telomerase Nucleic Acids Research, 2019, Vol. 47, No. 15 8085 TPRG1L, TYROBP and USP16) were validated to be tran-
scriptionally regulated by TERC. Interestingly, these four
genes, including three first defined, were related to activa-
tion of NF-B pathway and cellular inflammation. In ad-
dition, in vivo study showed that expression level of TERC
as well as its downstream genes TYROBP, TPRG1L and
USP16 were upregulated in patients with chronic inflam-
mation disease. Gene Ontology and KEGG pathway analyses were per-
formed for upregulated genes in TERC-U2OS cells using
the online tool DAVID (18,19). TPRG1L, TYROBP and USP16) were validated to be tran-
scriptionally regulated by TERC. Interestingly, these four
genes, including three first defined, were related to activa-
tion of NF-B pathway and cellular inflammation. In ad-
dition, in vivo study showed that expression level of TERC
as well as its downstream genes TYROBP, TPRG1L and
USP16 were upregulated in patients with chronic inflam-
mation disease. Quantitative RT-PCR Total RNA was isolated using TRIzol (Takara). Approxi-
mately 1 g RNA per sample was used to generate cDNA
by reverse transcription. Real-time PCR was carried out
with q-PCR buffer containing SYBR Green I in Light-
Cycler 480 (Roche). All PCR primer sequences were from
PrimerBank (22). Mapping of TERC-ChIRP fragments to genome TERC CHIRP-seq dataset was downloaded from published
article (13). The original dataset included 2198 fragments
located in hg18. These fragments were re-localized in hg19. The nearest transcription start sites (TSSs) were identified. The distance between fragment and TSS was calculated and
defined as “distance to TSS”. To further explore this hypothesis, we stimulated TERC-
U2OS and control pBabe-U2OS cells with TNF- and de-
tected the expression and secretion of inflammatory fac-
tors. The results showed that mRNA levels of five cytokines
(IL-6, IL-8, IL-32, TNF- and CSF2) were upregulated in
TERC-U2OS compared to pBabe-U2OS (Figure 1C). Ac-
cordingly, secreted cytokines (IL-6, IL-8 and CSF2) in cul-
ture medium were also increased (Figure 1D). Conversely,
when TERC was depleted by siRNAs in human astrocy-
toma B2–17cells (siRNA with a scramble sequence was used
as a control), both the expression and secretion level of cy-
tokines significantly decreased (Figure 1E and F). Because
B2–17 are telomerase positive cells, to exclude the engage-
ment of telomerase in the inflammatory response, TERT
was knocked down (Figure 1G) and cytokine secretion was
determined. Our results showed that in contrast to knock-
down of TERC, depletion of TERT only slightly decreased
the secretion of CSF2 and had no effect on IL-6 and IL-8
(Figure 1F). To further confirm the role of TERC in the in-
flammatory response, TERC was knocked down in human
normal fibroblast BJ cells, which do not express TERT and
therefore do not have telomerase activity. We observed that
depletion of TERC significantly decreased secretion of IL-6,
IL-8 and CSF2 in response to immune stimulation (Figure
1H). RNA sequencing and data analysis The RNA sample preparation, sequencing and data anal-
ysis were performed as previously reported (17). The genes
with log2-fold change ≥2 or ≤–2 as well as FDR<0.01 were
considered up- or downregulated genes, respectively. The 8086 Nucleic Acids Research, 2019, Vol. 47, No. 15 8086 or STAT3 pathway, U2OS cells were treated with indicated
inhibitors for 6 h. The culture medium was collected for
ELISA analysis, and the cells were collected for Western
blotting. TERC expression in clinical samples Processed gene expression profiles of clinical samples
(GSE54350, GSE65561 and GES66988) were downloaded
from GEO database (Gene Expression Omnibus). Expres-
sion levels of TERC and its target genes were analyzed. TERC promotes cellular inflammatory response To explore the biologic functions of TERC beyond serving
as a template for telomerase extension, we ectopically ex-
pressed TERC in telomerase negative U2OS cells in which
endogenous TERC was in the minutest amount and TERT
was undetectable. Differentially expressed genes were then
examined by RNA-seq. The result showed that 431 genes
were up- or downregulated with log2-fold change ≥2 or
≤–2, respectively (Supplementary Table S1). Upregulated
genes were then subjected to Gene Oncology (GO) anal-
ysis. Strikingly, 8 of 15 enriched GO terms were related
to immunology, including immune response, chemokine-
mediated signaling pathway, macrophage chemotaxis, and
inflammatory response (Figure 1A). Alternatively, when up-
regulated genes underwent KEGG pathway analysis, 22 out
of 28 KEGG terms were related to immunology such as im-
mune system, immune related diseases or inflammation re-
lated pathway (Figure 1B). These results strongly suggested
that TERC is involved in cellular immune in a direct or in-
direct manner. Luciferase reporter assays HEK293T cells were plated in 96-well plates ( 1×104
per well) and transfected with plasmids encoding NF-B
luciferase reporter (firefly luciferase plasmid), pRL-TK-
luc (renilla luciferase plasmid) and pBabe-TERC (Full-
length TERC). For knockdown experiment, siTERC was
transfected into HEK293T cells. Cells were harvested at
48 h after transfection and luciferase activity was measured
with Dual-Luciferase Assay kit (Promega) according to the
protocol provided by manufacturer. The firefly luciferase in-
tensity of NF-B reporter was first normalized to renilla
luciferase and then divided by corresponding control to ob-
tain a relative activity of NF-B luciferase (Folds). Immunofluorescence (IF) (A) Enriched biological processes after TERC overexpression. Gene ontology was analyzed
ERC-U2OS compared to pBabe-U2OS. GO terms in blue boxes were immune related biological processes. (B) Enriched signalin
rexpression. KEGG pathway enrichment was analyzed with upregulated genes in TERC-U2OS compared to pBabe-U2OS. Di
ays were boxed and labeled. (C) The mRNA levels of cytokines after TERC overexpression in U2OS cells. The stable cell lines pB
OS were stimulated with TNF- for 1 h, and cells were collected for qPCR. (D) The secreted cytokines after TERC overexpressi
cell lines pBabe-U2OS and TERC-U2OS were stimulated by TNF- for 6 h, and culture medium was collected for ELISA. (E) T
nes after TERC knockdown in B2–17 cells. The cells were transfected with indicated siRNAs for 72 h and treated with LPS du
on. Cells were then collected for qPCR. (F) The secreted cytokines in B2–17 cells after TERC or TERT knockdown. Cells were
iRNAs for 72 h and treated with LPS during the last 6 h of transfection. Culture medium was then collected for ELISA. (G)
of TERT. The B2–17 cells were transfected with TERT siRNAs for 72 h, and cells were collected for qPCR. (H) The secrete
C knockdown. Cells were transfected with indicated siRNAs for 72 h and treated with TNF- during the last 6 h of transfecti
llected for ELISA. Immunofluorescence (IF) All values are means ± SEM of more than three independent experiments (*P < 0.05, **P < 0.01,***P < Enriched GO terms of up-regulated genes after TERC overexpression
0
5
10
15
GO:0050900~leukocyte migration
GO:0070374~positive regulation of ERK1 and ERK2 cascade
GO:0006955~immune response
GO:0030198~extracellular matrix organization
GO:0070493~thrombin receptor signaling pathway
GO:0031663~lipopolysaccharide-mediated signaling pathway
GO:0043114~regulation of vascular permeability
GO:0050918~positive chemotaxis
GO:0070098~chemokine-mediated signaling pathway
GO:0010759~positive regulation of macrophage chemotaxis
GO:0048246~macrophage chemotaxis
GO:0045785~positive regulation of cell adhesion
GO:0006954~inflammatory response
GO:0010595~positive regulation of endothelial cell migration
GO:0048566~embryonic digestive tract development
0.01
0.001
p value
Enriched gene number
A A Enriched GO terms of up-regulated genes after TERC overexpression A Enriched GO terms of up-regulated genes after TERC overexpression g
Enriched KEGG pathway of up-regulated genes after TERC overexpression
0
5
10
15
hsa05164:Influenza A
hsa05144:Malaria
hsa05142:Chagas disease
hsa05146:Amoebiasis
hsa05168:Herpes simplex infection
hsa05133:Pertussis
hsa05143:African trypanosomiasis
hsa05152:Tuberculosis
hsa05145:Toxoplasmosis
hsa05150:Staphylococcus aureus infection
hsa05321:Inflammatory bowel disease (IBD)
hsa05310:Asthma
hsa05332:Graft-versus-host disease
hsa05330:Allograft rejection
hsa05323:Rheumatoid arthritis
hsa04621:NOD-like receptor signaling pathway
hsa04611:Platelet activation
hsa04612:Antigen processing and presentation
hsa04670:Leukocyte transendothelial migration
hsa04668:TNF signaling pathway
hsa04060:Cytokine-cytokine receptor interaction
hsa04064:NF-kappa B signaling pathway
hsa04514:Cell adhesion molecules (CAMs)
hsa04151:PI3K-Akt signaling pathway
hsa04940:Type I diabetes mellitus
hsa04915:Estrogen signaling pathway
hsa05200:Pathways in cancer
hsa05416:Viral myocarditis
>0.05
0.05
0.01
0.001
Others
Immune
system
Immune
diseases
Infectious
diseases
Autoimmune
disease
Inflammation
related pathway
p value
Enriched gene number
B B F
C
IL -6
IL -8
IL -3 2
T N F -α
C S F 2
0
1
2
3
4
5
5
1 0
1 5
2 0
p B a b e -U 2 O S
T E R C -U 2 O S
***
***
***
***
***
R e la tiv e fo ld o f m R N A G
D
ELISA
IL-6
IL-8
CSF2
0
1
2
3
5
10
15
20
pBabe-U2OS
TERC-U2OS
***
***
*
n
i
e
t
o
r
p
f
o
d
l
o
f
e
vit
al
e
R H
hTR
IL-6
IL-8
IL-32
TNF-α
CSF2
0.0
0.5
1.0
1.5
NC
TERC si1
TERC si2
***
***
***
**
***
*
*
ns
**
*
***
***
B2-17
Relative fold of mRNA
E G
H
hTR
IL-6
IL-8
IL-32
TNF-α
CSF2
0.0
0.5
1.0
1.5
NC
TERC si1
TERC si2
***
***
***
**
***
*
*
ns
**
*
***
***
B2-17
Relative fold of mRNA
D
ELISA
IL-6
IL-8
CSF2
0
1
2
3
5
10
15
20
pBabe-U2OS
TERC-U2OS
***
***
*
n
i
e
t
o
r
p
f
o
d
l
o
f
e
vit
al
e
R
E D E E C C F G H G
ELISA
NC
TERC si1
TERC si2
TERT si
NC
TERC si1
TERC si2
TERT si
NC
TERC si1
TERC si2
TERT si
0.0
0.5
1.0
1.5
IL-6
IL-8
CSF2
*** ***
*** ***
*** ***
ns
ns
**
B2-17
n
i
e
t
o
r
p
f
o
d
l
o
f
e
v
it
a
l
e
R
ELISA
NC
TERC si1
TERC si2
NC
TERC si1
TERC si2
NC
TERC si1
TERC si2
0.0
0.5
1.0
1.5
IL-6
CSF2
**
***
*** ***
*** ***
IL-8
BJ
n
i
e
t
o
r
p
f
o
d
l
o
f
e
vit
al
e
R
NC
siTERT
0.0
0.5
1.0
1.5
**
B2-17
Relative fold of TERT
H
I
TN
C
B2-17
F
I
T N
C
C G
si2
TERT si
CSF2
***
**
ELISA
NC
TERC si1
TERC si2
NC
TERC si1
TERC si2
NC
TERC si1
TERC si2
0.0
0.5
1.0
1.5
IL-6
CSF2
**
***
*** ***
*** ***
IL-8
BJ
n
i
e
t
o
r
p
f
o
d
l
o
f
e
vit
al
e
R
NC
siTERT
0.0
0.5
1.0
1.5
**
B2-17
Relative fold of TERT
H
T
B2-17 Figure 1. Immunofluorescence (IF) The NF-B signaling pathway plays a fundamental role in
inflammatory response, governing the release of inflamma-
tory factors (23). We noticed that NF-B signaling path-
way was enriched by KEGG pathway analysis in TERC
overexpressing cells (Figure 1B). To explore whether TERC-
induced stimulation of inflammatory response is mediated
by NF-B pathway, inhibitors of p65 cofactors IB and
STAT3 (Bay11-7082 and Stattic, respectively) were used to
treat TERC-U2OS. Indeed, both Bay11-7082 and Stattic,
but not the AKT inhibitor perifosine, suppressed the in- Cells were grown on coverslip, washed with PBS and fixed in
4% paraformaldehyde for 15 min at room temperature, and
then permeabilized in 0.5% Triton X-100 at room tempera-
ture for 30 min. The cells were washed thrice with 1× PBST
and blocked with 5% goat serum for 1 h at room temper-
ature. The cells were incubated sequentially with anti-p65
antibody overnight at 4◦C and secondary antibody conju-
gated with DyLight 488 for 1 h at room temperature. The
coverslip was washed with PBST, mounted with DAPI, and
visualized using a Zeiss microscope. Nucleic Acids Research, 2019, Vol. 47, No. Immunofluorescence (IF) 15 8087 Enriched GO terms of up-regulated genes after TERC overexpression
0
5
10
15
GO:0050900~leukocyte migration
GO:0070374~positive regulation of ERK1 and ERK2 cascade
GO:0006955~immune response
GO:0030198~extracellular matrix organization
GO:0070493~thrombin receptor signaling pathway
GO:0031663~lipopolysaccharide-mediated signaling pathway
GO:0043114~regulation of vascular permeability
GO:0050918~positive chemotaxis
GO:0070098~chemokine-mediated signaling pathway
GO:0010759~positive regulation of macrophage chemotaxis
GO:0048246~macrophage chemotaxis
GO:0045785~positive regulation of cell adhesion
GO:0006954~inflammatory response
GO:0010595~positive regulation of endothelial cell migration
GO:0048566~embryonic digestive tract development
0.01
0.001
p value
Enriched gene number
Enriched KEGG pathway of up-regulated genes after TERC overexpression
0
5
10
15
hsa05164:Influenza A
hsa05144:Malaria
hsa05142:Chagas disease
hsa05146:Amoebiasis
hsa05168:Herpes simplex infection
hsa05133:Pertussis
hsa05143:African trypanosomiasis
hsa05152:Tuberculosis
hsa05145:Toxoplasmosis
hsa05150:Staphylococcus aureus infection
hsa05321:Inflammatory bowel disease (IBD)
hsa05310:Asthma
hsa05332:Graft-versus-host disease
hsa05330:Allograft rejection
hsa05323:Rheumatoid arthritis
hsa04621:NOD-like receptor signaling pathway
hsa04611:Platelet activation
hsa04612:Antigen processing and presentation
hsa04670:Leukocyte transendothelial migration
hsa04668:TNF signaling pathway
hsa04060:Cytokine-cytokine receptor interaction
hsa04064:NF-kappa B signaling pathway
hsa04514:Cell adhesion molecules (CAMs)
hsa04151:PI3K-Akt signaling pathway
hsa04940:Type I diabetes mellitus
hsa04915:Estrogen signaling pathway
hsa05200:Pathways in cancer
hsa05416:Viral myocarditis
>0.05
0.05
0.01
0.001
Others
Immune
system
Immune
diseases
Infectious
diseases
Autoimmune
disease
Inflammation
related pathway
p value
Enriched gene number
G
ELISA
NC
TERC si1
TERC si2
TERT si
NC
TERC si1
TERC si2
TERT si
NC
TERC si1
TERC si2
TERT si
0.0
0.5
1.0
1.5
IL-6
IL-8
CSF2
*** ***
*** ***
*** ***
ns
ns
**
B2-17
n
i
e
t
o
r
p
f
o
d
l
o
f
e
v
it
a
l
e
R
ELISA
NC
TERC si1
TERC si2
NC
TERC si1
TERC si2
NC
TERC si1
TERC si2
0.0
0.5
1.0
1.5
IL-6
CSF2
**
***
*** ***
*** ***
IL-8
BJ
n
i
e
t
o
r
p
f
o
d
l
o
f
e
vit
al
e
R
NC
siTERT
0.0
0.5
1.0
1.5
**
B2-17
Relative fold of TERT
A
B
H
hTR
IL-6
IL-8
IL-32
TNF-α
CSF2
0.0
0.5
1.0
1.5
NC
TERC si1
TERC si2
***
***
***
**
***
*
*
ns
**
*
***
***
B2-17
Relative fold of mRNA
F
C
IL -6
IL -8
IL -3 2
T N F -α
C S F 2
0
1
2
3
4
5
5
1 0
1 5
2 0
p B a b e -U 2 O S
T E R C -U 2 O S
***
***
***
***
***
R e la tiv e fo ld o f m R N A
D
ELISA
IL-6
IL-8
CSF2
0
1
2
3
5
10
15
20
pBabe-U2OS
TERC-U2OS
***
***
*
n
i
e
t
o
r
p
f
o
d
l
o
f
e
vit
al
e
R
E
C promotes inflammatory response. Immunofluorescence (IF) (E) Total and phosphorylated p65 were upregulated by TERC. PBabe-U2OS and TERC-U2OS cells were treated with TNF- for indic
times. Total and phosphorylated levels of p65 were determined by Western blotting. (F) Quantification of (E). Protein levels in (E) were quantified
normalized by actin. (G) Inhibited nuclear translocation of p65 in TERC depleted cells. B2–17 cells were transfected with TERC siRNA or NC fo
h and then treated with TNF- (10 ng/ml) for 20 min. Immunofluorescence (IF) using p65 antibody was performed to determine the amount of p
nucleus and cytoplasm. (H) Quantification of (G). Nuclear p65 (Fluorescence intensity) was quantified as a percentage of overall p65 in cell. ∼100
were counted for each experiment. (I, J) NF-B luciferase reporter assay for analysis of activation of NF-B in TERC overexpressed (I) and depleted
(J). HEK293T cells were transfected with TERC/pBabe (I) or siTERC/NC (J) together with NF-B-luc and pRL-TK. Luciferase activity was determ
48 h after transfection. All values are means ± SEM of more than three independent experiments (*P < 0.05, **P < 0.01, ***P < 0.001). 8088 Nucleic Acids Research, 2019, Vol. 47, No. 15 A
B
C
D A
B B C D A E F F F E H G I
J I H I J J G Figure 2. TERC activates the NF-B pathway. (A) Inhibition of NF-B or STAT3 activation by inhibitors in TERC-U2OS. TERC-U2OS cells were treated
with inhibitors of AKT, IB and STAT3 (Perifosine, Bay11–7082 and Stattic, respectively) for 6h, and cells were collected for Western blotting of indicated
proteins. (B-D) The TERC promotion of cytokine secretion was counteracted by inhibitors of p65 cofactors IB and STAT3. Stable cell lines pBabe-
U2OS and TERC-U2OS were treated with TNF- plus indicated inhibitor for 6 h, and culture medium was collected for IL-6, IL-8 and CSF2 detection
by ELISA. (E) Total and phosphorylated p65 were upregulated by TERC. PBabe-U2OS and TERC-U2OS cells were treated with TNF- for indicated
times. Total and phosphorylated levels of p65 were determined by Western blotting. (F) Quantification of (E). Protein levels in (E) were quantified and
normalized by actin. (G) Inhibited nuclear translocation of p65 in TERC depleted cells. B2–17 cells were transfected with TERC siRNA or NC for 72
h and then treated with TNF- (10 ng/ml) for 20 min. Immunofluorescence (IF) using p65 antibody was performed to determine the amount of p65 in
nucleus and cytoplasm. Immunofluorescence (IF) TERC promotes inflammatory response. (A) Enriched biological processes after TERC overexpression. Gene ontology was analyzed for upregu-
lated genes in TERC-U2OS compared to pBabe-U2OS. GO terms in blue boxes were immune related biological processes. (B) Enriched signaling pathways
after TERC overexpression. KEGG pathway enrichment was analyzed with upregulated genes in TERC-U2OS compared to pBabe-U2OS. Different cate-
gories of pathways were boxed and labeled. (C) The mRNA levels of cytokines after TERC overexpression in U2OS cells. The stable cell lines pBabe-U2OS
and TERC-U2OS were stimulated with TNF- for 1 h, and cells were collected for qPCR. (D) The secreted cytokines after TERC overexpression in U2OS
cells. The stable cell lines pBabe-U2OS and TERC-U2OS were stimulated by TNF- for 6 h, and culture medium was collected for ELISA. (E) The mRNA
levels of cytokines after TERC knockdown in B2–17 cells. The cells were transfected with indicated siRNAs for 72 h and treated with LPS during the last
1 h of transfection. Cells were then collected for qPCR. (F) The secreted cytokines in B2–17 cells after TERC or TERT knockdown. Cells were transfected
with indicated siRNAs for 72 h and treated with LPS during the last 6 h of transfection. Culture medium was then collected for ELISA. (G) The knock-
down efficiency of TERT. The B2–17 cells were transfected with TERT siRNAs for 72 h, and cells were collected for qPCR. (H) The secreted cytokines
in BJ after TERC knockdown. Cells were transfected with indicated siRNAs for 72 h and treated with TNF- during the last 6 h of transfection. Culture
medium was collected for ELISA. All values are means ± SEM of more than three independent experiments (*P < 0.05, **P < 0.01,***P < 0.001). 8088 Nucleic Acids Research, 2019, Vol. 47, No. 15
A
B
C
D
E
G
F
H
I
J
Figure 2. TERC activates the NF-B pathway. (A) Inhibition of NF-B or STAT3 activation by inhibitors in TERC-U2OS. TERC-U2OS cells were tre
with inhibitors of AKT, IB and STAT3 (Perifosine, Bay11–7082 and Stattic, respectively) for 6h, and cells were collected for Western blotting of indic
proteins. (B-D) The TERC promotion of cytokine secretion was counteracted by inhibitors of p65 cofactors IB and STAT3. Stable cell lines pB
U2OS and TERC-U2OS were treated with TNF- plus indicated inhibitor for 6 h, and culture medium was collected for IL-6, IL-8 and CSF2 detec
by ELISA. Immunofluorescence (IF) (H) Quantification of (G). Nuclear p65 (Fluorescence intensity) was quantified as a percentage of overall p65 in cell. ∼100 cells
were counted for each experiment. (I, J) NF-B luciferase reporter assay for analysis of activation of NF-B in TERC overexpressed (I) and depleted cells
(J). HEK293T cells were transfected with TERC/pBabe (I) or siTERC/NC (J) together with NF-B-luc and pRL-TK. Luciferase activity was determined
48 h after transfection. All values are means ± SEM of more than three independent experiments (*P < 0.05, **P < 0.01, ***P < 0.001). Nucleic Acids Research, 2019, Vol. 47, No. 15 8089 Nucleic Acids Research, 2019, Vol. 47, No. 15 8089
B2-17
TERC
LIN37
SLC26A1
TPRG1L
TYROBP
USP16
UNC5A
0.0
0.5
1.0
1.5
2.0
NC
siTERC
***
***
ns
***
***
**
ns
Relative fold of mRNA
A
ALPL
LIN37
DUSP21
MSL1
SLC26A1
TPRG1L
TYROBP
RRAGA
CIZ1
CNOT2
RPH3A
CHD3
USP16
RAD17
CCR3
GBA2
CERCAM
PYGO2
CEP63
LCN15
MTERFD3
ACTR8
SCRN1
EML3
ASTL
SNAI1
ALG3
UNC5A
APOM
TMEM139
0
2
4
6
8
10
30
40
50
***
***
***
***
***
pBabe-U2OS
TERC-U2OS
***
*
***
*
**
**
**
***
*
Relative fold of mRNA
B
TERC
LIN37
SLC26A1
TPRG1L
TYROBP
USP16
UNC5A
0
1
2
3
NC
siTERC
HeLa
***
***
***
*
**
ns
*
Relative mRNA level
E
D
TERC
LIN37
SLC26A1
TPRG1L
TYROBP
USP16
UNC5A
0.0
0.5
1.0
1.5
NC
siTERC
293T
***
**
***
***
**
***
*
Relative mRNA level
F
C
TERC
DNA
TERC
Figure 3. TERC targets gene’s promoters using its binding motif. (A) Schematic diagram of TERC targeting to gene’s promoters that contain the sequence
of TERC binding motif. (B). Distribution of TERC targeted fragments on genome. The fragment was classified according to its distance to the nearest TSS. (C) The mRNA levels of 30 genes with TERC binding motif in their promoters in TERC-U2OS vs pBabe-U2OS cells. (D–F). Determination of mRNA
levels of top 6 genes in (C) that have the highest fold change (up- and downregulation) in response to TERC expression. Gene expression was tested in
indicated cells with or without TERC knockdown. Each panel represents different cells as indicated. All values are means ± SEM of more than three
independent experiments (*P < 0.05, **P < 0.01, ***P < 0.001). Immunofluorescence (IF) crease of IL 6 IL 8 and CSF2 induced by TERC overex
scription of target genes (24) The amount of p65 in nu A
TERC
DNA
TERC B A A
ALPL
LIN37
DUSP21
MSL1
SLC26A1
TPRG1L
TYROBP
RRAGA
CIZ1
CNOT2
RPH3A
CHD3
USP16
RAD17
CCR3
GBA2
CERCAM
PYGO2
CEP63
LCN15
MTERFD3
ACTR8
SCRN1
EML3
ASTL
SNAI1
ALG3
UNC5A
APOM
TMEM139
0
2
4
6
8
10
30
40
50
***
***
***
***
***
pBabe-U2OS
TERC-U2OS
***
*
***
*
**
**
**
***
*
Relative fold of mRNA
B
C
TERC
DNA
TERC ALPL
LIN37
DUSP21
MSL1
SLC26A1
TPRG1L
TYROBP
RRAGA
CIZ1
CNOT2
RPH3A
CHD3
USP16
RAD17
CCR3
GBA2
CERCAM
PYGO2
CEP63
LCN15
MTERFD3
ACTR8
SCRN1
EML3
ASTL
SNAI1
ALG3
UNC5A
APOM
TMEM139
0
2
4
6
8
10
30
40
50
***
***
***
***
***
pBabe-U2OS
TERC-U2OS
***
*
***
*
**
**
**
***
*
Relative fold of mRNA
C
TERC C B2-17
TERC
LIN37
SLC26A1
TPRG1L
TYROBP
USP16
UNC5A
0.0
0.5
1.0
1.5
2.0
NC
siTERC
***
***
ns
***
***
**
ns
Relative fold of mRNA
TERC
LIN37
SLC26A1
TPRG1L
TYROBP
USP16
UNC5A
0
1
2
3
NC
siTERC
HeLa
***
***
***
*
**
ns
*
Relative mRNA level
E
D
TERC
LIN37
SLC26A1
TPRG1L
TYROBP
USP16
UNC5A
0.0
0.5
1.0
1.5
NC
siTERC
293T
***
**
***
***
**
***
*
Relative mRNA level
F B2-17
TERC
LIN37
SLC26A1
TPRG1L
TYROBP
USP16
UNC5A
0.0
0.5
1.0
1.5
2.0
NC
siTERC
***
***
ns
***
***
**
ns
Relative fold of mRNA
D E D F Figure 3. TERC targets gene’s promoters using its binding motif. (A) Schematic diagram of TERC targeting to gene’s promoters that contain the sequence
of TERC binding motif. (B). Distribution of TERC targeted fragments on genome. The fragment was classified according to its distance to the nearest TSS. (C) The mRNA levels of 30 genes with TERC binding motif in their promoters in TERC-U2OS vs pBabe-U2OS cells. (D–F). Determination of mRNA
levels of top 6 genes in (C) that have the highest fold change (up- and downregulation) in response to TERC expression. Gene expression was tested in
indicated cells with or without TERC knockdown. Each panel represents different cells as indicated. All values are means ± SEM of more than three
independent experiments (*P < 0.05, **P < 0.01, ***P < 0.001). Immunofluorescence (IF) crease of IL-6, IL-8 and CSF2 induced by TERC overex-
pession (Figure 2A–D). scription of target genes (24). The amount of p65 in nu-
cleus is indicative of activation extent of NF-B pathway. We observed that in response to TNF- treatment, TERC-
depleted cells display much less p65 in nucleus than control
cells, demonstrating that TERC positively regulates the ac-
tivation of NF-B pathway (Figure 2G, H). Moreover, we
also performed luciferase reporter assay, in which NF-B
response element is placed in TATA promoter that drives
the transcription of luciferase. The result showed that com-
pared to control cells, overexpression of TERC increases lu-
ciferase activity, whereas knockdown of TERC decreases its Furthermore, we observed that NF-B subunit p65 and
phosphorylated p65 (p-p65) were higher in TERC-U2OS
than in control pBabe-U2OS, suggesting the activation of
the NF-B pathway (Figure 2E, 0min). When cells were fur-
ther stimulated with TNF-, the level of p65 and p-p65 in
TERC-U2OS were continuously higher than pBabe-U2OS
throughout the activation procedure, suggesting that TERC
stimulates activation of NF-B pathway (Figure 2E, F). Upon activation of NF-B pathway, p65 migrates from cy-
toplasm to nucleus where it functions to initiate the tran- 8090 Nucleic Acids Research, 2019, Vol. 47, No. 15 8090 Nucleic Acids Research, 2019, Vol. 47, No. 15 Table 1. Promoters containing potential TERC binding site
Gene Name
Gene Promoter Seq. from EPD
ALPL
actcgggccccgcggccgcctttataaggcggcgggggtggtggcccggGCCGCGTTGCG
LIN37
taataggaacaagctactgccgaaggggcccgcccacagaagggtggtgGCCACGGTCCA
DUSP21
agatgggagtggtgagaggagacagaaagagggtggtggccgatagctgGTCCTCTTTCT
MSL1
gcggccagcgagggcagatggaagagTATGAGGAAGAGCCCTCTCGGGGGTGGTGGCGGC
SLC26A1
cagagtccagggcacagaccactgcctgcaggttggcgccaccacccccACTCTCCCCGC
TPRG1L
ccgcggggcggggccgggggcgcggccgggtggtggcggtggctgcggcgacggcggtcG
TYROBP
ccctgtctcctcctcccttctgccaccacccgcctcagacttcctccttCACTTGCCTGG
RRAGA
gagatcgccgccggaagtgggtggtggcggggacgcagcggctccctccCGGAAAGCGAG
CIZ1
ggcaaaatggcgaaatccctctctacaaaaaatacaaacattagccagggtggtggcggg
CNOT2
agggagggagggggtgtgtatgggggtggtggtggACCGGACGTAAAGCGTCGCTGTACT
RPH3A
aggagggagagggggtggtggaggagggagagagggtgggagaaggagtgatgaagatgg
CHD3
ggggaggcgggcgggcggtgggtgggggggtggtgggggggccAGAGCCACAGGATGGCT
USP16
GGGAGGTGGGGGTGGGGTGGTGGTGGCCTAGCCACTTCCCATAATGCCGCGTTCCGGAAG
RAD17
CGAATATTTGAGCTTAGTATTCCCTGTTCACTGTGTGGGGTGGTGGTGGGTCGGCTAGGA
CCR3
aggtggtggcctgcccctccccgcaggcactctgtcccagggagaaatcagaactcttta
GBA2
CACGGCCACTTCTGCATCCAGGTGGGGATGCTGGCACTGAAGGTGGTGGCCCTTCTGGGA
CERCAM
GGAGCCGGGGAAGCCCGGGAGGTGGTGGCCGAGTGGGCGCCGCCCCTCTGGGTCTGCGGC
PYGO2
ttgctccccctccccgcagcgctcagtggtggtggccgcgacgagttccGGTTCCGGTTG
CEP63
GCCTCGCAGGCCACCACCATCCGCACCGTACGACAGGCCGTCCCTCAGCTGCGGCTTCCT
LCN15
caggtggtggcctgggctataaagctggccccctggggcttggggactcAGCACCAGGGG
MTERFD3
ggaagcaaatgcagctggtgcaggagagggaaatgggaattagggtggtGGCAGAGCCCA
ACTR8
cccctggtggggggAGTGCGGAAGCGGTCGTTCTTTTCCGGGTGGTGGCGCGCCGGGACG
SCRN1
tcccactcctctccacctccactgccaccaccctgcaccaagccaccaccatctccagcc
EML3
CTCGGGGTGGTGGTACGGCGCCCTTCGCGCGCGCCCCGGGGTGCTTCCCCTTCCCCTCTC
ASTL
GTAACCTAATTGCAGAACCGGCACCACCACCCCCTCTTAAATAGCAGCTGctccacctcc
SNAI1
CCACCACCCCCCCGGAGTACTTAAGGGAGTTGGCGGCGCTGCTGCATTCATTGCGCCGCG
ALG3
aagcggaacctaagtgtcgaaggttcgggtttccgggggtggtgggcccACACAAGCGGC
UNC5A
GCCCACCACCCCAAGCCCCTCCCTGGGGGAGCCTCAGGCATCGCCCAGAGGGATTCCCGG
APOM
acacacccaccaccccgcggctccgcccccgacttccccacggaccgtcACTTCCGGTCT
TMEM139
acctacccgctccggcccttcccaccaccccccaccccatctactttctACAGTCTGTGG
Underline indicates potential binding sites
Lower case indicates upstream of TSS Underline indicates potential binding sites
Lower case indicates upstream of TSS activity (Figure 2I and J). Altogether, these data confirmed
that TERC promotes the activation of NF-B pathway. by TERC using pBabe-U2OS and TERC-U2OS cells. 14 of
30 genes exhibited up- or downregulated transcription in
response to TERC expression (Figure 3C). The top six up-
or downregulated genes were LIN37, SLC26A1, TPRG1L,
TYROBP, USP16 and UNC5A. Among them, four genes
(LIN37, TPRG1L, TYROBP and USP16) showed consis-
tent downregulation when TERC was knockdown in B2–
17, HeLa and 293T cells (Figure 3D–F). We thus focused
on these four genes. TERC regulates gene transcription by targeting its promoter We next explored how TERC stimulates the NF-B path-
way. As a typical lncRNA, we speculated that TERC may
regulate gene transcription by targeting specific sites in the
genome. Indeed, using chromatin isolation by RNA pu-
rification (ChIRP), it was previously reported that TERC
targets the genome with a high preference for the se-
quence 5′-GGCCACCACCCC-3′ (termed the binding mo-
tif) (13), which is exactly complementary to the sequence
5′-GGGGUGGUGGCC-3′ at site 25–36 of TERC. This
strongly suggested that TERC binds to genomic DNA using
its binding motif, which may form a triplex structure with
target DNA (Figure 3A). TERC binds to gene’s promoters by forming RNA–DNA
triplexes TERC binds to gene’s promoters by forming RNA–DNA
triplexes To investigate whether TERC binds to promoters of LIN37,
TPRG1L, TYROBP and USP16 in vivo, ChIRP-PCR was
performed, in which biotin-labeled oligonucleotides were
used to pull down TERC and associated chromatin (13,21). PCR was then performed using primers that cover the
TERC binding site in the gene’s promoter (Table 1). The
results showed that promoters of four genes were enriched
by ChIRP, demonstrating association of these promoters
with TERC (Figure 4A). To survey the locations of TERC target sites, we down-
loaded 2198 TERC-ChIRP fragments from published study
(13) and mapped them to the human genome. The distance
to the nearest transcription start site (TSS) of each frag-
ment was calculated. Most fragments (TERC targeted sites)
were located within ±1000 bp of TSSs (Figure 3B), suggest-
ing that TERC tends to target gene’s promoters. Then, we
screened potential binding sequences using a TERC binding
motif in Eukaryotic Promoter Database (EPD) (20), which
contains all identified promoters and sequences adjacent to
TSSs. As a result, as many as 30 sequences on gene pro-
moters were identified that were listed in Table 1. We then
verified whether the transcription of these genes was altered (
g
)
To further validate the interaction between TERC and
promoters, electrophoretic mobility shift assay (EMSA)
was carried out in vitro by incubating TERC and synthe-
sized 59 bp double-stranded (ds) DNA that is from in-
dicated gene promoter and consists of binding motif se-
quence of TERC. Indeed, shifted bands were observed for
all four tested promoters, but not for scramble sequence
(Figure 4B). In addition, with increased TERC, shift bands Nucleic Acids Research, 2019, Vol. 47, No. 15 8091 A
E
B
D
C
ure 4. RNA–DNA triplex formation between TERC and gene’s promoters. (A) TERC binds to the promoter of indicated gene in vivo. TERC ChIRP was
ormed using TERC probe. LacZ probe was used as control. Promoters of the indicated genes were detected by PCR. (B) TERC binds to the promoters
ndicated genes in vitro. EMSA was performed to detect the triplex formation between synthesized gene promoters containing TERC binding motif and
RC. RNA with random sequence was used as control. Products were analyzed on 2% agarose gels. (C) Triplex formation in a dose dependent manner. o picomoles of indicated gene promoters were incubated with increasing amounts of TERC. Products were analyzed on 2% agarose gels. TERC binds to gene’s promoters by forming RNA–DNA
triplexes (D) Expression
ls of indicated genes after RNH1 knockdown. U2OS cells were transfected with siRNH1 for 72 h, and corresponding mRNAs were detected by qPCR. Melting temperature decreased after triplex formation at neutral pH. Melting temperatures of gene’s promoters were detected in the presence or absence
TERC or TERC1–49. All values are means ± SEM of more than three independent experiments (*P < 0.05, **P < 0.01, ***P < 0.001). B
D
C A
B
D B A D D E E Figure 4. RNA–DNA triplex formation between TERC and gene’s promoters. (A) TERC binds to the promoter of indicated gene in vivo. TERC ChIRP was
performed using TERC probe. LacZ probe was used as control. Promoters of the indicated genes were detected by PCR. (B) TERC binds to the promoters
of indicated genes in vitro. EMSA was performed to detect the triplex formation between synthesized gene promoters containing TERC binding motif and
TERC. RNA with random sequence was used as control. Products were analyzed on 2% agarose gels. (C) Triplex formation in a dose dependent manner. Two picomoles of indicated gene promoters were incubated with increasing amounts of TERC. Products were analyzed on 2% agarose gels. (D) Expression
levels of indicated genes after RNH1 knockdown. U2OS cells were transfected with siRNH1 for 72 h, and corresponding mRNAs were detected by qPCR. (E) Melting temperature decreased after triplex formation at neutral pH. Melting temperatures of gene’s promoters were detected in the presence or absence
of TERC or TERC1–49. All values are means ± SEM of more than three independent experiments (*P < 0.05, **P < 0.01, ***P < 0.001). TERC-targeted genes activate the NF-B pathway (RNA–DNA) gradually increased and free promoter DNA
decreased accordingly (Figure 4C). Because NF-B component such as p65 or STAT3 is not
direct target of TERC, we hypothesized that TERC stim-
ulates the NF-B pathway in an indirect manner, poten-
tially through promoting the expression of targeted genes. We thus tested identified four genes for their ability to ac-
tivate the NF-B pathway. Four genes (LIN37, TPRG1L,
TYROBP and USP16) were individually knocked down
in TERC-U2OS cells. We found that while knockdown of
LIN37, TPRG1L and USP16 decreased the level of p65
and p-p65, the knockdown of LIN37, TPRG1L and TY-
ROBP decreased the level of STAT3 and phosphorylated
STAT3 (p-STAT3) (Figure 5A, B). Consistently, ELISA as-
say showed that knockdown of LIN37, TPRG1L, TYROBP
and USP16 counteracted enhanced secretion of IL-6 by
TERC (Figure 5C). Altogether, these results demonstrated
that TERC modulates the inflammatory response through
regulating a group of genes such as LIN37, TPRG1L, TY-
ROBP and USP16. While TYROBP has been previously re- TERC may form R-loop or triplex with targeted ds-
promoters. To test the possibility that TERC may form
R-loops by hybridizing with targeted DNA, we knocked
down the RNH1 gene in TERC-U2OS cells. RNase H is
an enzyme that digests RNA in Watson–Crick RNA–DNA
hybrids (25). It is speculated that gene expression levels
should be altered by either overexpression or knockdown
of RNase H if they are regulated by R-loop (26). In con-
trast to this, we observed no change in the expression levels
of four genes when RNase H was knocked down (Figure
4D). In addition, we observed that melting temperatures of
ds-promoters were reduced by approximately 1◦C after in-
cubating with TERC or 49 nt TERC fragments that contain
the binding motif (Figure 4E). This is consistent with the
previous report that melting temperature decreases during
conformation change from double-strand DNA into RNA–
DNA triplexes (27). Altogether, these results suggested that
TERC may target gene’s promoters by forming RNA–DNA
triplexes. 8092 Nucleic Acids Research, 2019, Vol. 47, No. 15 Figure 5. TERC activates NF-B pathways through targeting immune-related genes. (A) The knockdown efficiency of indicated genes. The TERC-U2OS
cells were transfected with indicated siRNAs for 72 h, and corresponding mRNAs were detected by qPCR. (B) P65 and STAT3 were downregulated by
knockdown of TERC targeted genes. The TERC-U2OS cells were transfected with indicated siRNAs for 72 h. TERC-targeted genes activate the NF-B pathway Total and phosphorylated p65 and STAT3
expressions were determined by western blotting. (C) The TERC promotion of IL-6 secretion was counteracted by knockdown of TERC targeted genes. PBabe-U2OS and TERC-U2OS cells were transfected with indicated siRNAs for 72 h and treated with TNF- during the last 6 h of transfection. Culture
medium was collected for IL-6 detection by ELISA. All values are means ± SEM of more than three independent experiments (*P < 0.05, **P < 0.01,
***P < 0.001). Figure 5. TERC activates NF-B pathways through targeting immune-related genes. (A) The knockdown efficiency of indicated genes. The TERC-U2OS
cells were transfected with indicated siRNAs for 72 h, and corresponding mRNAs were detected by qPCR. (B) P65 and STAT3 were downregulated by
knockdown of TERC targeted genes. The TERC-U2OS cells were transfected with indicated siRNAs for 72 h. Total and phosphorylated p65 and STAT3
expressions were determined by western blotting. (C) The TERC promotion of IL-6 secretion was counteracted by knockdown of TERC targeted genes. PBabe-U2OS and TERC-U2OS cells were transfected with indicated siRNAs for 72 h and treated with TNF- during the last 6 h of transfection. Culture
medium was collected for IL-6 detection by ELISA. All values are means ± SEM of more than three independent experiments (*P < 0.05, **P < 0.01,
***P < 0.001). 6E and F). Therefore, the elevated inflammatory response
is positively correlated with increased expression of TERC
and TERC target genes in patients. ported to be involved in the activation of the inflammatory
response (28–31), the other three genes are newly identified. DISCUSSION Because TERC regulates the expression of inflammation
related genes in vitro, we then investigated its potential
immune-regulation function in patients. First, we analyzed
TERC levels in type II diabetes and multiple sclerosis, both
displaying increased chronic inflammation (32,33). The ex-
pression levels of TERC in CD14+ cells from type II di-
abetes and multiple sclerosis patients were significantly
higher than normal people (Figure 6A and B). We also ex-
amined the expression level of LIN37, TPRG1L, TYROBP
and USP16 in CD14+ cells from patients and normal peo-
ple. For diabetic patients, TPRG1L and TYROBP were up-
regulated, whereas TYROBP and USP16 were upregulated
in multiple sclerosis patients (Figure 6C and D). Consis-
tently, the expression of inflammatory cytokines such as
IL-8 and TNF- in diabetic patients and IL-6, IL-8, CSF2
and TNF- in multiple sclerosis patients increased (Figure A high incidence of TERC mutation and an increased copy
number of TERC genes has been reported to associate with
the pathogenesis of the inherited disorder dyskeratosis con-
genital (DC), aplastic anemia (AA) (34,35) and other ge-
netic diseases (36–38). Interestingly, both DC and AA pa-
tients also display immune abnormalities (39,40). More-
over, many mutations in TERC do not affect its function as
an RNA template and telomerase activity (41–43), imply-
ing that TERC may have noncanonical functions beyond
telomerase. In this study, we revealed that TERC stimulates
cellular inflammatory response in a telomerase independent
manner. The evidence supporting this includes: (i) RNA-seq
data indicated that expression of immune-related genes are
regulated by TERC; (ii) overexpression of TERC in telom-
erase negative U2OS cells resulted in increased expression
and secretion of inflammatory factors; (iii) knockdown of
TERC, but not TERT, in telomerase positive cells decreased Nucleic Acids Research, 2019, Vol. 47, No. DISCUSSION 15 8093 G S E 5 4 3 5 0 & G S E 6 5 5 6 1
N o rm a l
D ia b e tic
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
* *
C D 1 4
+ C ells
R e la tiv e fo ld o f T E R C
G S E 5 4 3 5 0 & G S E 6 5 5 6 1
L IN 3 7
T P R G 1 L
T Y R O B P
U S P 1 6
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
H ea lth y V o lu n te er
D ia b e tic
**
*
C D 1 4
+ C ells
R e la tiv e fo ld o f m R N A
G S E 5 4 3 5 0 & G S E 6 5 5 6 1
IL 6
IL 8
C S F 2
T N F -α
0
1
2
3
4
**
*
H ea lth y V o lu n te er
D ia b e tic
C D 1 4
+ C ells
R e la tiv e fo ld o f m R N A
G S E 6 6 9 8 8
N o rm a l
0 .6
0 .8
1 .0
1 .2
1 .4
**
M u lt ip le
S c le ro s is
C D 1 4
+ C ells
R e la tiv e fo ld o f T E R C
G S E 6 6 9 8 8
L IN 3 7
T P R G 1 L
T Y R O B P
U S P 1 6
0 .0
0 .5
1 .0
1 .5
H ea lth y V o lu n te er
M u ltip le S cle ro sis
***
*
C D 1 4
+ C ells
R e la tiv e fo ld o f m R N A
G S E 6 6 9 8 8
IL 6
IL 8
C S F 2
T N F -α
0 .0
0 .5
1 .0
1 .5
2
4
6
8
H ea lth y V o lu n te er
M u ltip le S cle ro sis
**
***
***
***
C D 1 4
+ C ells
R e la tiv e fo ld o f m R N A
C
D
A
B
E
F
Figure 6. DISCUSSION G S E 5 4 3 5 0 & G S E 6 5 5 6 1
L IN 3 7
T P R G 1 L
T Y R O B P
U S P 1 6
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
H ea lth y V o lu n te er
D ia b e tic
**
*
C D 1 4
+ C ells
R e la tiv e fo ld o f m R N A
C G S E 5 4 3 5 0 & G S E 6 5 5 6 1
IL 6
IL 8
C S F 2
T N F -α
0
1
2
3
4
**
*
H ea lth y V o lu n te er
D ia b e tic
R e la tiv e fo ld o f m R N A
E C C E A A G S E 5 4 3 5 0 & G S E 6 5 5 6 1
N o rm a l
D ia b e tic
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
* *
C D 1 4
+ C ells
R e la tiv e fo ld o f T E R C
A C D 1 4
+ C ells C D 1 4
+ C ells C D 1 4
+ C ells C D 1 4
+ C ells G S E 6 6 9 8 8
L IN 3 7
T P R G 1 L
T Y R O B P
U S P 1 6
0 .0
0 .5
1 .0
1 .5
H ea lth y V o lu n te er
M u ltip le S cle ro sis
***
*
C D 1 4
+ C ells
R e la tiv e fo ld o f m R N A
D G S E 6 6 9 8 8
IL 6
IL 8
C S F 2
T N F -α
0 .0
0 .5
1 .0
1 .5
2
4
6
8
H ea lth y V o lu n te er
M u ltip le S cle ro sis
**
***
***
***
R e la tiv e fo ld o f m R N A
F G S E 6 6 9 8 8
N o rm a l
0 .6
0 .8
1 .0
1 .2
1 .4
**
M u lt ip le
S c le ro s is
C D 1 4
+ C ells
R e la tiv e fo ld o f T E R C
B D D F B C D 1 4
+ C ells C D 1 4
+ C ells T
C D 1 4
+ C ells C D 1 4
+ C ells C D 1 4
+ C ells Figure 6. DISCUSSION The expression levels of TERC and TERC targeted genes in inflammation related diseases. (A) TERC was upregulated in CD14+ cells of diabetic
patients. Data were downloaded from the GEO database (GSE54350 & GSE65561), and TERC expression levels were analyzed (n ≥10, *P < 0.05, **P <
0.01). (B) TERC was upregulated in CD14+ cells of multiple sclerosis patients. Data were downloaded from the GEO database (GSE66988), and TERC
expression levels were analyzed (n ≥10, *P < 0.05, **P < 0.01). (C) Expression levels of TERC targeted genes in CD14+ cells of diabetic patients. Data
analysis is the same as (A). (D) Expression levels of TERC targeted genes in CD14+ cells of multiple sclerosis patients. Data analysis is the same as (B). (E) Expression levels of cytokines in CD14+ cells of diabetic patients. Data analysis is the same as (A), except that ‘n’ of IL6 is 6 because IL6 is missing in
GSE65561. (F) Expression levels of cytokines in CD14+ cells of multiple sclerosis patients. Data analysis is the same as (B). secretion of inflammatory factors; (iv) overexpression of
TERC led to activation of the NF-B signaling pathway in
the absence of allothogenic stimulation; (v) TERC upreg-
ulated the expression of LIN37, TPRG1L, TYROBP and
USP16 that is linked to the activation of NF-B signaling
pathway, leading to increased inflammatory response and
(vi) high TERC levels corresponded to high inflammation
states in patients with type II diabetes or multiple sclerosis. LncRNAs may regulate gene expression in different man-
ners (11). For example, eRNA, which is transcribed from
enhancers, promotes chromatin accessibility by remodeling
the chromatin (44), whereas lncRNA Khps1, HOTAIR and
MEG3 regulate gene transcription by recruiting chromatin secretion of inflammatory factors; (iv) overexpression of
TERC led to activation of the NF-B signaling pathway in
the absence of allothogenic stimulation; (v) TERC upreg-
ulated the expression of LIN37, TPRG1L, TYROBP and
USP16 that is linked to the activation of NF-B signaling
pathway, leading to increased inflammatory response and
(vi) high TERC levels corresponded to high inflammation
states in patients with type II diabetes or multiple sclerosis. DISCUSSION The expression levels of TERC and TERC targeted genes in inflammation related diseases. (A) TERC was upregulated in CD14+ cells of diabetic
patients. Data were downloaded from the GEO database (GSE54350 & GSE65561), and TERC expression levels were analyzed (n ≥10, *P < 0.05, **P <
0.01). (B) TERC was upregulated in CD14+ cells of multiple sclerosis patients. Data were downloaded from the GEO database (GSE66988), and TERC
expression levels were analyzed (n ≥10, *P < 0.05, **P < 0.01). (C) Expression levels of TERC targeted genes in CD14+ cells of diabetic patients. Data
analysis is the same as (A). (D) Expression levels of TERC targeted genes in CD14+ cells of multiple sclerosis patients. Data analysis is the same as (B). (E) Expression levels of cytokines in CD14+ cells of diabetic patients. Data analysis is the same as (A), except that ‘n’ of IL6 is 6 because IL6 is missing in
GSE65561. (F) Expression levels of cytokines in CD14+ cells of multiple sclerosis patients. Data analysis is the same as (B). DISCUSSION secretion of inflammatory factors; (iv) overexpression of
TERC led to activation of the NF-B signaling pathway in
the absence of allothogenic stimulation; (v) TERC upreg-
ulated the expression of LIN37, TPRG1L, TYROBP and
USP16 that is linked to the activation of NF-B signaling
pathway, leading to increased inflammatory response and
(vi) high TERC levels corresponded to high inflammation
states in patients with type II diabetes or multiple sclerosis. LncRNAs may regulate gene expression in different man-
ners (11). For example, eRNA, which is transcribed from
enhancers, promotes chromatin accessibility by remodeling
the chromatin (44), whereas lncRNA Khps1, HOTAIR and
MEG3 regulate gene transcription by recruiting chromatin modifiers to target sites (13–16). A previous study identified
the sequence ‘GGCCACCACCCC’ as a binding motif in
TERC that may associate with genomic DNA (13). Here, we
found that TERC associated sequences were largely located
near the TSSs of genes (Figure 3B). Following this route,
we identified 30 potential promoters TERC may bind to. Among them, 4 genes were experimentally verified to be
transcriptionally regulated by TERC (LIN37, TPRG1L,
TYROBP and USP16). Similar to many other lncRNAs
(13–16), we demonstrated that TERC formed triplexes with
promoter sequences of these genes and thereby promoted
their transcription. It should be noted that identified four
genes are representative of 14 genes, which are transcrip- p
yp
p
LncRNAs may regulate gene expression in different man-
ners (11). For example, eRNA, which is transcribed from
enhancers, promotes chromatin accessibility by remodeling
the chromatin (44), whereas lncRNA Khps1, HOTAIR and
MEG3 regulate gene transcription by recruiting chromatin 94 Nucleic Acids Research, 2019, Vol. 47, No. 15 8094 luciferase plasmid, and for helpful suggestions on experi-
mental design. tionally regulated by TERC (Figure 3). Considering that di-
rect association is one of manners by which lncRNA regu-
lates gene transcription, the total number of genes regulated
by TERC might be much greater than 14. Further investi-
gation is thus needed to identify whole genes regulated by
TERC. Author Contributions: H. Liu and Y. Zhao designed the
study, analyzed the data and wrote the paper. H. Liu and Y. Yang performed the majority of the experiments. J. Liu an-
alyzed the clinical samples. Y. Ge offered ideas and helped
to analyze the data. Y. Zhao supervised the project and re-
vised the manuscript. All authors read and approved the
manuscript. SUPPLEMENTARY DATA Supplementary Data are available at NAR Online. 11. Dykes,I.M. and Emanueli,C. (2017) Transcriptional and
Post-transcriptional gene regulation by long Non-coding RNA. Genomics Proteomics Bioinformatics, 15, 177–186. CONCLUSIONS Here, we found that TERC regulates immune-related gene
transcription by forming triplex with their promoters. In
this way, four genes were identified that promote cellular in-
flammatory response by enhancing the activation of NF-B
signaling pathway. The axis of TERC/targeted-genes/NF-
B/inflammatory response exists in patients with chronic
inflammatory disease. 5. Xi,L. and Cech,T.R. (2014) Inventory of telomerase components in
human cells reveals multiple subpopulations of hTR and hTERT. Nucleic Acids Res., 42, 8565–8577. 6. Blasco,M.A., Rizen,M., Greider,C.W. and Hanahan,D. (1996)
Differential regulation of telomerase activity and telomerase RNA
during multi-stage tumorigenesis. Nat. Genet., 12, 200–204. 7. Cairney,C.J., Hoare,S.F., Daidone,M.G., Zaffaroni,N. and
Keith,W.N. (2008) High level of telomerase RNA gene expression is
associated with chromatin modification, the ALT phenotype and
poor prognosis in liposarcoma. Br. J. Cancer, 98, 1467–1474. FUNDING National Natural Science Foundation of China Grants
[81771506, 31571410]; National Key R&D Program of
China [2018YFA0107000]; Guangzhou Municipal People’s
Livelihood Science and Technology Plan [201803010108]. Funding for open access charge: National Natural Science
Foundation of China Grants [81771506, 31571410]; Na-
tional Key R&D Program of China [2018YFA0107000];
Guangzhou Municipal People’s Livelihood Science and
Technology Plan [201803010108]. It was previously discovered that TERC is implicated in
angiogenesis, metastasis and proliferation of cancer cells
by regulating the global gene expression (45,46). Similarly,
we revealed that TERC promotes cellular inflammatory re-
sponse by upregulating the expression of immune-related
genes such as LIN37, TPRG1L, TYROBP and USP16 in
human normal and cancer cells. Moreover, we observed that
in patients with chronic inflammation such as Type II dia-
betes and multiple sclerosis, the expression of TERC is up-
regulated. Accordingly, the expression of TERC-targeted
genes (TPRG1L, TYROBP and USP16) as well as secreted
inflammatory factors (IL-6, IL-8, CSF2 and TNF-) are
upregulated, which may contribute to increased inflamma-
tory level in patients. In this context, TERC may be a poten-
tial target for anti-inflammatory therapeutics for patients
with chronic inflammation. gy
[
]
Conflict of interest statement. None declared. gy
[
]
Conflict of interest statement. None declared. DATA AVAILABILITY 8. Gazzaniga,F.S. and Blackburn,E.H. (2014) An antiapoptotic role for
telomerase RNA in human immune cells independent of telomere
integrity or telomerase enzymatic activity. Blood, 124, 3675–3684. The raw RNAseq data of pBabe-U2OS and TERC-U2OS
(hTR-U2OS in the website) have been submitted to GEO
database. The GEO accession number is GSE125024. The
link of the dataset is: https://www.ncbi.nlm.nih.gov/geo/
query/acc.cgi?acc=GSE125024. 9. Kedde,M., le Sage,C., Duursma,A., Zlotorynski,E., van Leeuwen,B.,
Nijkamp,W., Beijersbergen,R. and Agami,R. (2006)
Telomerase-independent regulation of ATR by human telomerase
RNA. J. Biol. Chem., 281, 40503–40514. 10. Ting,N.S., Pohorelic,B., Yu,Y., Lees-Miller,S.P. and Beattie,T.L. (2009) The human telomerase RNA component, hTR, activates the
DNA-dependent protein kinase to phosphorylate heterogeneous
nuclear ribonucleoprotein A1. Nucleic Acids Res., 37, 6105–6115. REFERENCES 1. Feng,J., Funk,W.D., Wang,S.S., Weinrich,S.L., Avilion,A.A.,
Chiu,C.P., Adams,R.R., Chang,E., Allsopp,R.C., Yu,J. et al. (1995)
The RNA component of human telomerase. Science, 269, 1236–1241. 2. Kim,N.W., Piatyszek,M.A., Prowse,K.R., Harley,C.B., West,M.D.,
Ho,P.L., Coviello,G.M., Wright,W.E., Weinrich,S.L. and Shay,J.W. (1994) Specific association of human telomerase activity with
immortal cells and cancer. Science, 266, 2011–2015. 3. Morrison,S.J., Prowse,K.R., Ho,P. and Weissman,I.L. (1996)
Telomerase activity in hematopoietic cells is associated with
self-renewal potential. Immunity, 5, 207–216. 4. Yi,X., Tesmer,V.M., Savre-Train,I., Shay,J.W. and Wright,W.E. (1999)
Both transcriptional and posttranscriptional mechanisms regulate
human telomerase template RNA levels. Mol. Cell Biol., 19,
3989–3997. DISCUSSION Except for TYROBP, which was previously reported to
engage in inflammatory response, the other three genes are
newly identified that could activate the NF-B signaling
pathway. Because p65 and STAT3 are not directly regulated
by TERC, we hypothesized that TERC stimulates inflam-
matory response in an indirect manner, i.e., through tran-
scriptional activation of inflammatory related genes that
then activate NF-B signaling pathway. In the absence of
TERC, cells were less sensitive to immune stimulation by
TNF- or LPS (Figure 1F, H). Therefore, we defined TERC
as a positive modulator of NF-B mediated inflammatory
response. Nucleic Acids Research, 2019, Vol. 47, No. 15 8095 and Kocak,M. (2010) Dyskeratosis congenita:
clinical report and review of the literature. Int. J. Dent. Hyg., 8, 68–74. 22. Wang,X., Spandidos,A., Wang,H. and Seed,B. (2012) PrimerBank: a
PCR primer database for quantitative gene expression analysis, 2012
update. Nucleic Acids Res., 40, D1144–D1149. 40. Li,J., Ge,M., Lu,S., Shi,J., Li,X., Wang,M., Huang,J., Shao,Y.,
Huang,Z., Zhang,J. et al. (2017) Pro-inflammatory effects of the Th1
chemokine CXCL10 in acquired aplastic anaemia. Cytokine, 94,
45–51. 23. Iliopoulos,D., Hirsch,H.A. and Struhl,K. (2009) An epigenetic switch
involving NF-kappaB, Lin28, Let-7 MicroRNA, and IL6 links
inflammation to cell transformation. Cell, 139, 693–706. 41. Vulliamy,T.J., Kirwan,M.J., Beswick,R., Hossain,U., Baqai,C.,
Ratcliffe,A., Marsh,J., Walne,A. and Dokal,I. (2011) Differences in
disease severity but similar telomere lengths in genetic subgroups of
patients with telomerase and shelterin mutations. PLoS One, 6,
e24383. 24. Pahl,H.L. (1999) Activators and target genes of Rel/NF-kappaB
transcription factors. Oncogene, 18, 6853–6866. 25. Cerritelli,S.M. and Crouch,R.J. (2009) Ribonuclease H: the enzymes
in eukaryotes. FEBS J., 276, 1494–1505. 42. Collopy,L.C., Walne,A.J., Cardoso,S., de la Fuente,J., Mohamed,M.,
Toriello,H., Tamary,H., Ling,A.J., Lloyd,T., Kassam,R. et al. (2015)
Triallelic and epigenetic-like inheritance in human disorders of
telomerase. Blood, 126, 176–184. 26. Chen,L., Chen,J.Y., Zhang,X., Gu,Y., Xiao,R., Shao,C., Tang,P.,
Qian,H., Luo,D., Li,H. et al. (2017) R-ChIP using inactive RNase H
reveals dynamic coupling of R-loops with transcriptional pausing at
gene promoters. Mol. Cell, 68, 745–757. 43. Yamaguchi,H., Sakaguchi,H., Yoshida,K., Yabe,M., Yabe,H.,
Okuno,Y., Muramatsu,H., Takahashi,Y., Yui,S., Shiraishi,Y. et al. (2015) Clinical and genetic features of dyskeratosis congenita, cryptic
dyskeratosis congenita, and Hoyeraal-Hreidarsson syndrome in
Japan. Int. J. Hematol., 102, 544–552. 27. Hashem,G.M., Wen,J.D., Do,Q. and Gray,D.M. (1999) Evidence
from CD spectra and melting temperatures for stable
Hoogsteen-paired oligomer duplexes derived from DNA and hybrid
triplexes. Nucleic Acids Res., 27, 3371–3379. 28. Lanier,L.L., Corliss,B.C., Wu,J., Leong,C. and Phillips,J.H. (1998)
Immunoreceptor DAP12 bearing a tyrosine-based activation motif is
involved in activating NK cells. Nature, 391, 703–707. 44. Mousavi,K., Zare,H., Dell’orso,S., Grontved,L., Gutierrez-Cruz,G.,
Derfoul,A., Hager,G.L. and Sartorelli,V. (2013) eRNAs promote
transcription by establishing chromatin accessibility at defined
genomic loci. Mol. Cell, 51, 606–617. 29. Bostanci,N., Thurnheer,T. and Belibasakis,G.N. (2011) Involvement
of the TREM-1/DAP12 pathway in the innate immune responses to
Porphyromonas gingivalis. Mol. Immunol., 49, 387–394. 45. Li,S., Rosenberg,J.E., Donjacour,A.A., Botchkina,I.L., Hom,Y.K.,
Cunha,G.R. and Blackburn,E.H. (2004) Rapid inhibition of cancer
cell growth induced by lentiviral delivery and expression of
mutant-template telomerase RNA and anti-telomerase
short-interfering RNA. Cancer Res., 64, 4833–4840. 30. Chen,X.X., Tang,L., Fu,Y.M., Wang,Y., Han,Z.H. and Meng,J.G. Nucleic Acids Research, 2019, Vol. 47, No. 15 8095 14. Mondal,T., Subhash,S., Vaid,R., Enroth,S., Uday,S., Reinius,B.,
Mitra,S., Mohammed,A., James,A.R., Hoberg,E. et al. (2015) MEG3
long noncoding RNA regulates the TGF-beta pathway genes through
formation of RNA–DNA triplex structures. Nat. Commun., 6, 7743. 32. Donath,M.Y. and Shoelson,S.E. (2011) Type 2 diabetes as an
inflammatory disease. Nat. Rev. Immunol., 11, 98–107. 33. Dendrou,C.A., Fugger,L. and Friese,M.A. (2015) Immunopathology
of multiple sclerosis. Nat. Rev. Immunol., 15, 545–558. p
15. Postepska-Igielska,A., Giwojna,A., Gasri-Plotnitsky,L., Schmitt,N.,
Dold,A., Ginsberg,D. and Grummt,I. (2015) LncRNA Khps1
regulates expression of the proto-oncogene SPHK1 via
triplex-mediated changes in chromatin structure. Mol. Cell, 60,
626–636. 34. Marrone,A., Sokhal,P., Walne,A., Beswick,R., Kirwan,M., Killick,S.,
Williams,M., Marsh,J., Vulliamy,T. and Dokal,I. (2007) Functional
characterization of novel telomerase RNA (TERC) mutations in
patients with diverse clinical and pathological presentations. Haematologica, 92, 1013–1020. 16. Kalwa,M., Hanzelmann,S., Otto,S., Kuo,C.C., Franzen,J., Joussen,S.,
Fernandez-Rebollo,E., Rath,B., Koch,C., Hofmann,A. et al. (2016)
The lncRNA HOTAIR impacts on mesenchymal stem cells via triple
helix formation. Nucleic Acids Res., 44, 10631–10643. 35. Vulliamy,T.J., Marrone,A., Knight,S.W., Walne,A., Mason,P.J. and
Dokal,I. (2006) Mutations in dyskeratosis congenita: their impact on
telomere length and the diversity of clinical presentation. Blood, 107,
2680–2685. 36. Biron-Shental,T., Kitay-Cohen,Y., Tene,T., Sharony,R. and Amiel,A. (2012) Increased TERC gene copy number in amniocytes from fetuses
with trisomy 18 or a sex chromosome aneuploidy. Gene, 506, 46–49. 17. Liu,H., Liu,Q., Ge,Y., Zhao,Q., Zheng,X. and Zhao,Y. (2016)
hTERT promotes cell adhesion and migration independent of
telomerase activity. Sci. Rep., 6, 22886. 37. Laish,I., Katz,H., Sulayev,Y., Liberman,M., Naftali,T.,
Benjaminov,F., Stein,A., Kitay-Cohen,Y., Biron-Shental,T.,
Konikoff,F. et al. (2013) Increased TERC gene copy number and cells
in senescence in primary sclerosing cholangitis compared to colitis
and control patients. Gene, 529, 245–249. 18. Huang da,W., Sherman,B.T. and Lempicki,R.A. (2009) Systematic
and integrative analysis of large gene lists using DAVID
bioinformatics resources. Nat. Protoc., 4, 44–57. 19. Huang da,W., Sherman,B.T. and Lempicki,R.A. (2009)
Bioinformatics enrichment tools: paths toward the comprehensive
functional analysis of large gene lists. Nucleic Acids Res., 37, 1–13. 38. Mohamad Ashari,Z.S., Sulong,S., Hassan,R., Husin,A., Sim,G.A. and Abdul Wahid,S.F. (2014) Low level of TERC gene amplification
between chronic myeloid leukaemia patients resistant and respond to
imatinib mesylate treatment. Asian Pac. J. Cancer Prev., 15,
1863–1869. 20. Dreos,R., Ambrosini,G., Perier,R.C. and Bucher,P. (2015) The
Eukaryotic Promoter Database: expansion of EPDnew and new
promoter analysis tools. Nucleic Acids Res., 43, D92–D96. 21. Chu,C., Quinn,J. and Chang,H.Y. (2012) Chromatin isolation by
RNA purification (ChIRP). J. Vis. Exp., 61, 3912. 39. Baran,I., Nalcaci,R. ACKNOWLEDGEMENTS 12. Chen,X., Sun,Y., Cai,R., Wang,G., Shu,X. and Pang,W. (2018) Long
noncoding RNA: multiple players in gene expression. BMB Rep., 51,
280–289. We would like to thank Jincun Zhao for critical reading of
the manuscript and providing helpful suggestions on exper-
imental design. We also thank Jun Cui for kindly provid-
ing the NF-B firefly luciferase plasmid, pRL-TK renilla 13. Chu,C., Qu,K., Zhong,F.L., Artandi,S.E. and Chang,H.Y. (2011)
Genomic maps of long noncoding RNA occupancy reveal principles
of RNA-chromatin interactions. Mol. Cell, 44, 667–678. Nucleic Acids Research, 2019, Vol. 47, No. 15 8095 (2017) Paralemmin-3 contributes to lipopolysaccharide-induced
inflammatory response and is involved in lipopolysaccharide-Toll-like
receptor-4 signaling in alveolar macrophages. Int. J. Mol. Med., 40,
1921–1931. 46. Li,S., Crothers,J., Haqq,C.M. and Blackburn,E.H. (2005) Cellular
and gene expression responses involved in the rapid growth inhibition
of human cancer cells by RNA interference-mediated depletion of
telomerase RNA. J. Biol. Chem., 280, 23709–23717. 31. Varanat,M., Haase,E.M., Kay,J.G. and Scannapieco,F.A. (2017)
Activation of the TREM-1 pathway in human monocytes by
periodontal pathogens and oral commensal bacteria. Mol. Oral
Microbiol., 32, 275–287.
|
https://openalex.org/W3011416235
|
https://iris.unife.it/bitstream/11392/2486610/1/Transpulmonary%20thermodilution%20detects%20rapid%20and%20reversible%20increases%20in%20lung%20water%20induced.pdf
|
English
| null |
Transpulmonary thermodilution detects rapid and reversible increases in lung water induced by positive end-expiratory pressure in acute respiratory distress syndrome
|
Annals of intensive care
| 2,020
|
cc-by
| 7,319
|
*Correspondence: francesco.gavelli@uniupo.it
1 Service de médecine intensive ‑ réanimation, Hôpitaux universitaires
Paris-Saclay, Hôpital de Bicêtre, APHP, 78, rue du Général Leclerc, 94270 Le
Kremlin‑Bicêtre, France
Full list of author information is available at the end of the article Abstract This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and
the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material
in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material
is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the
permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco
mmons.org/licenses/by/4.0/. Gavelli et al. Ann. Intensive Care (2020) 10:28
https://doi.org/10.1186/s13613-020-0644-2 Gavelli et al. Ann. Intensive Care (2020) 10:28
https://doi.org/10.1186/s13613-020-0644-2 RESEARCH
Transpulmonary thermodilution detects
rapid and reversible increases in lung water
induced by positive end‑expiratory pressure
in acute respiratory distress syndrome
Francesco Gavelli1,2,3* , Jean‑Louis Teboul1,2, Danila Azzolina3, Alexandra Beurton1,2, Temistocle Taccheri1,2,
Imane Adda1,2, Christopher Lai1,2, Gian Carlo Avanzi3 and Xavier Monnet1,2
Open Access Open Access Abstract Purpose: It has been suggested that, by recruiting lung regions and enlarging the distribution volume of the cold
indicator, increasing the positive end-expiratory pressure (PEEP) may lead to an artefactual overestimation of extravas‑
cular lung water (EVLW) by transpulmonary thermodilution (TPTD). Methods: In 60 ARDS patients, we measured EVLW (PiCCO2 device) at a PEEP level set to reach a plateau pressure of
30 cmH2O (HighPEEPstart) and 15 and 45 min after decreasing PEEP to 5 cmH2O (LowPEEP15′ and LowPEEP45′, respec‑
tively). Then, we increased PEEP back to the baseline level (HighPEEPend). Between HighPEEPstart and LowPEEP15′, we
estimated the degree of lung derecruitment either by measuring changes in the compliance of the respiratory system
(Crs) in the whole population, or by measuring the lung derecruited volume in 30 patients. We defined patients with a
large derecruitment from the other ones as patients in whom the Crs changes and the measured derecruited volume
were larger than the median of these variables observed in the whole population. Results: Reducing PEEP from HighPEEPstart (14 ± 2 cmH2O) to LowPEEP15′ significantly decreased EVLW from 20 ± 4
to 18 ± 4 mL/kg, central venous pressure (CVP) from 15 ± 4 to 12 ± 4 mmHg, the arterial oxygen tension over inspired
oxygen fraction (PaO2/FiO2) ratio from 184 ± 76 to 150 ± 69 mmHg and lung volume by 144 [68–420] mL. The EVLW
decrease was similar in “large derecruiters” and the other patients. When PEEP was re-increased to HighPEEPend, CVP,
PaO2/FiO2 and EVLW significantly re-increased. At linear mixed effect model, EVLW changes were significantly deter‑
mined only by changes in PEEP and CVP (p < 0.001 and p = 0.03, respectively, n = 60). When the same analysis was
performed by estimating recruitment according to lung volume changes (n = 30), CVP remained significantly associ‑
ated to the changes in EVLW (p < 0.001). Conclusions: In ARDS patients, changing the PEEP level induced parallel, small and reversible changes in EVLW. These changes were not due to an artefact of the TPTD technique and were likely due to the PEEP-induced changes
in CVP, which is the backward pressure of the lung lymphatic drainage. Trial registration ID RCB: 2015-A01654-45. Registered 23 October 2015 © The Author(s) 2020. Transpulmonary thermodilution detects
rapid and reversible increases in lung water
induced by positive end‑expiratory pressure
in acute respiratory distress syndrome Francesco Gavelli1,2,3* , Jean‑Louis Teboul1,2, Danila Azzolina3, Alexandra Beurton1,2, Temistocle Taccheri1,2,
Imane Adda1,2, Christopher Lai1,2, Gian Carlo Avanzi3 and Xavier Monnet1,2 © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and
the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material
in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material
is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the
permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco
mmons.org/licenses/by/4.0/. Haemodynamic measurements In addition to arterial pressure and CI, we measured the
central venous pressure (CVP) at the base of the C wave,
at end-expiration. The value of three successive respira-
tory cycles was averaged. The pressure transducer was
attached to the arm, at a height corresponding to the
level of the right atrium. g
Thus, the goal of our study, conducted in ARDS
patients, was to investigate whether the estimation of
EVLW by TPTD is artefactually influenced by the lung
derecruitment potentially secondary to the decrease in
the PEEP level. Estimation of alveolar derecruitment induced by PEEP
decreasesi In a subgroup of 30 patients ventilated with an Infinity
V500 ventilator (Dräger, Lübeck, Germany), we directly
estimated the volume of derecruited lung during the
PEEP decrease. For this purpose, after transiently reduc-
ing the respiratory rate to 10 breaths/min to reduce the
risk of air trapping, a prolonged expiration was per-
formed while abruptly reducing PEEP from its base-
line value to 5 cmH2O for one breath. The difference
in end-expiratory Vt between the breath while PEEP
was decreased and the one before was defined as the
total change in lung volume [34]. At the same time, we Gavelli et al. Ann. Intensive Care (2020) 10:28 Page 2 of 8 Gavelli et al. Ann. Intensive Care Keywords: Pulmonary oedema, Pulmonary lymphatic drainage, Central venous pressure, Lung recruitment,
Mechanical ventilation Keywords: Pulmonary oedema, Pulmonary lymphatic drainage, Central venous pressure, Lung recruitment,
Mechanical ventilation TPTD measurements
TPTD The large majority of these studies were conducted
in animals [3–5, 8–27], with various models of ARDS
and methods of EVLW estimation. Today, the routine
measurement of EVLW at the bedside is allowed by
transpulmonary thermodilution (TPTD). One animal
[8] and three human studies [6, 7, 28] have investigated
the effects of PEEP changes on TPTD-estimated EVLW,
three suggesting that EVLW increases with PEEP [6–8]
and another one that it remains unchanged [28]. How-
ever, these studies did not investigate the potential arte-
fact that may induce an increase in EVLW along with the
PEEP level. TPTD measurements were performed by injecting
15-mL boluses of saline (< 8 °C) through a jugular vein
catheter. In order to allow the detection of small changes
in EVLW, the average of the results obtained by five suc-
cessive thermodilution measurements was used. With
this number of replicates, the least significant change of
EVLW is 8% [32]. With TPTD, we also measured the pulmonary vascular
permeability index (PVPI) [1, 33] (also averaged from five
successive thermodilution measurements) and cardiac
index (CI). Indeed, the PEEP-induced lung recruitment may
relieve the hypoxic vasoconstriction of the recruited
regions, which eventually become accessible to the cold
indicator while they were not at a lower PEEP level. This
may lead to an artefactual overestimation of the PEEP-
induced EVLW augmentation. Background able to give consent, the same information was delivered
to them, with possibility for them to deny the participa-
tion. All patients and/or relatives accepted to participate. Inclusion criteria were age ≥ 18 years, presence of
ARDS according to the Berlin definition [29] and moni-
toring with a TPTD device (PiCCO2 device, Pulsion
Medical Systems, Feldkirchen, Germany). Exclusion
criteria were contraindications to PEEP increase (pneu-
mothorax, uncontrolled shock state) and extracorporeal
membrane oxygenation, which impedes the measure-
ment of EVLW by TPTD. Patients could be under contin-
uous venovenous haemofiltration since it does not affect
the TPTD estimation of EVLW [30, 31]. Extravascular lung water (EVLW) is the amount of fluid
present in the lungs, outside the pulmonary blood vessels
[1]. In acute respiratory distress syndrome (ARDS), lung
injury leads to increases in the pulmonary capillary per-
meability and in EVLW, which reflect the severity of the
disease [2]. Many studies have investigated the changes in EVLW
induced by a positive end-expiratory pressure (PEEP),
which is the cornerstone of ARDS treatment (Additional
file 1: Table S1). However, they have provided very dis-
cordant results, some showing that EVLW augmented
when increasing levels of PEEP were applied [3–8], some
that it decreased [9–17] and some others that it did not
change [18–28].h Methods This prospective, one-centre study was approved by the
Institutional Review Board of our institution (Comité
pour la Protection des Personnes, Ile-de-France VII,
IDCRB 2015-A01654-45). At the time of inclusion,
patients’ relatives were informed of the study protocol
and possibility was given to them to refuse participation. As soon as clinical condition improved and patients were Gavelli et al. Ann. Intensive Care (2020) 10:28 Gavelli et al. Ann. Intensive Care (2020) 10:28 Gavelli et al. Ann. Intensive Care (2020) 10:28 Page 3 of 8 estimated the minimal predicted change in lung volume
determined by the PEEP change, as previously described
[35]. Briefly, the respiratory system compliance at low
PEEP was multiplied by the pressure difference between
the two PEEP levels. Then, this value was subtracted
from the total change in lung volume and the result was
considered as an estimation of derecruited lung volume
induced by PEEP reduction [34, 35]. In addition, in the
whole population, we estimated the degree of derecruit-
ment during the PEEP decrease by observing the simul-
taneous changes in compliance of the respiratory system
(Crs) [36]. For this purpose, Crs was calculated as the
ratio of tidal volume (Vt) over the driving pressure (pla-
teau pressure—PEEP). Data are expressed as mean ± standard deviation for
normally distributed variables or median [interquartile
range] for skewed data. A Shapiro–Wilk test was con-
sidered to determine if a variable was well-modelled
by a normal distribution. The analysis of patients with
a large derecruitment compared to the other ones was
planned a priori. A linear mixed factor ANOVA for repeated meas-
urements was used to evaluate both within-subject
effect (PEEP/time effect) and between-subject effects
(recruiting effect). Both High-PEEPstart and Low-
PEEP45′ have been considered as reference categories
for comparisons. Multiple comparisons of means have
been performed using Tukey contrasts. The covariate effect on EVLW outcome was then
estimated using a linear mixed model for repeated
measurements (random intercept model) adjusting
the estimates for PEEP, position (prone/supine) and
recruiting effect according either to the Crs changes
and the recruited lung volume. Sample size calculation
and statistical analysis were performed with MedCalc
18.2.1 software (Mariakerke, Belgium) and R 3.5.2 sta-
tistical software with lme4 package. We defined patients with a large derecruitment from
the other ones as patients in whom Crs changes and
the measured derecruited volume were larger than the
median of their value observed in the whole population. Study design
b
l At baseline, patients were ventilated in the assist-control
mode with a Vt at 6 mL/kg (predicted body weight). PEEP
was set to reach a plateau pressure of 28–30 cmH2O
(High-PEEP) [37]. Sedation was provided by propofol
and remifentanil. Results
Patients At this time (High-PEEPstart), a first set of measure-
ments was performed including heart rate, arterial pres-
sure, CVP, EVLW and blood gas analysis. PEEP was then
decreased, while the derecruited volume was estimated
in the 30 patients in whom it was possible. After 15 min
(Low-PEEP15′) and 45 min (Low-PEEP45′), we meas-
ured the same variables as at baseline. A time interval
of 45 min appeared to us as reasonably long enough for
allowing potential fluid transfer through the pulmonary
capillary barrier. Thereafter, PEEP was increased back to
its baseline level. After 15 min, the variables measured at
baseline were measured again (High-PEEPend). Sixty consecutive patients were included. On average,
ARDS developed for 3 [1–5] days at the time of inclu-
sion. Septic shock was present in 54 (90%) patients
(Table 1). Pneumonia was the cause of ARDS in all
patients. The number of chest X-ray quadrants involved
was two in 21 (35%) cases, three in 35 (58%) cases and
four in 4 (7%) patients. At baseline, blood lactate was
2.5 [1.6–3.4] mmol/L, creatinine 98 [66–106] μmol/L
and 15 (25%) patients had renal replacement therapy
in place (conventional haemodialysis in three, continu-
ous venovenous hemofiltration in 12 patients, without
weight loss). Eleven (18%) patients were in prone posi-
tion at the time of inclusion, whereas 28 (47%) other
ones had required prone positioning before the inclu-
sion (Table 1). Seventeen (28%) patients were paralysed
at the time of inclusion and the Richmond Agitation-
Sedation Scale was − 4 [− 5 to − 3]. Sedative drugs, Vt, respiratory rate, and the fraction
of inspired oxygen (FiO2) remained unchanged during
the study. Volume expansion, fluid removal, recruitment
manoeuvres, administration of inhaled nitric oxide or
nebulization were not performed during this time. Statistical analysis Considering an α risk of 5% and a β risk of 20%, to evi-
dence a PEEP-induced change in EVLW by 2 ± 4 mL/kg,
we estimated that 54 patients should be included into
the study, a number that was rounded to 60. The PEEP-
induced change in EVLW was estimated by considering
that the least significant change of the measurement is 8%
if five values of TPTD are averaged [32] and by expecting
a baseline EVLW of 20 ± 6 mL/kg [38]. Effects of PEEP changes on haemodynamic variables Effects of PEEP changes on haemodynamic variables
The decrease in PEEP from High-PEEPstart decreased
CVP by 21 ± 13% (p < 0.01) (Table 2). When PEEP was
increased from Low-PEEP45′ to High-PEEPend, opposite
and symmetrical changes were observed (Table 2; see
Additional file 2: Table S2 for post hoc comparisons). Gavelli et al. Ann. Intensive Care (2020) 10:28 Page 4 of 8 Table 1 Patient characteristics
ARDS: acute respiratory distress syndrome; E/e′: ratio of the amplitude
of the E wave over the amplitude of the e′ wave of the mitral flow with
echocardiography; ICU: intensive care unit; PBW: predicted body weight
Patient characteristics (n = 60)
Age (years)
69 ± 10
Male gender (n, %)
34 (57%)
Body mass index (kg/m2)
25 ± 4
Simplified Acute Physiologic Score II on inclusion
51 ± 18
ARDS severity (n, %)
Mild
21 (35%)
Moderate
31 (52%)
Severe
8 (13%)
Aetiology of ARDS (n, %)
Community acquired pneumonia
46 (77%)
Aspiration pneumonia with neurologic disorders
5 (8%)
Ventilator associated pneumonia
9 (15%)
ICU length of stay (days)
12 [11–38]
Total duration of mechanical ventilation (days)
11 [10–37]
Mortality at day-28 (n, %)
26 (43%)
Norepinephrine
Number of patients (%)
54 (90%)
Dose of norepinephrine (µg/kg/min)
0.53 [0.27–1.00]
Left ventricular ejection fraction (%)
44 ± 11
E/e′ ratio
9 ± 2
Ventilator settings
Tidal volume (mL/kg of PBW)
5.5 [5.0–6.0]
Respiratory rate (breaths/min)
27 ± 5
Fraction of inspired oxygen
0.64 ± 0.20
Patients requiring prone position (n, %)
39 (65%) Effects of PEEP changes on EVLW
Decreasing PEEP from High-PEEPstart induced a sig-
nificant decrease in EVLW by 8 ± 7% (p < 0.01) (Table 2,
Fig. 1). This decrease in EVLW was observed in all the
patients but two (Fig. 1). It persisted at Low-PEEP15′
and Low-PEEP45′. When PEEP was increased from Low-
PEEP45′ to High-PEEPend, opposite and symmetrical
changes in EVLW were observed (Table 2).f Table 1 Patient characteristics Effects of PEEP changes on EVLW Patient characteristics (n = 60) When we evaluated the covariate effect on EVLW at
the linear mixed model for repeated measures, adjusted
for PEEP, prone/supine position and recruitment accord-
ing to Crs changes, only the changes in PEEP and CVP
were significantly associated to the changes in EVLW
(p < 0.001 and p = 0.03, respectively) (Table 3). Were the PEEP‑induced changes in EVLW due to artefacts
of the TPTD technique? ARDS: acute respiratory distress syndrome; E/e′: ratio of the amplitude
of the E wave over the amplitude of the e′ wave of the mitral flow with
echocardiography; ICU: intensive care unit; PBW: predicted body weight At the bedside, the only technique that allows the meas-
urement of EVLW is TPTD. Although it can detect
interstitial oedema, lung ultrasound does not allow the
quantification of the EVLW total volume, and CT scan
cannot be used routinely. The estimation of EVLW by
TPTD in humans has been demonstrated to correlate
with the one provided by gravimetry [39], which is the
reference technique. Even small and rapid changes in
EVLW can be measured [40]. The value of EVLW has
been regularly demonstrated to be correlated with mor-
tality in critically ill patients [41, 42], especially in septic
shock [43, 44] and ARDS [38, 45]. Effects of PEEP changes on respiratory variables
From High-PEEPstart to Low-PEEP15′, PEEP decreased
by 9 ± 2 cmH2O and this was accompanied by a
decrease in the plateau pressure by 8 ± 3 cmH2O. When
decreasing PEEP from High-PEEPstart, the change in
Crs was 0.0 [− 3.8 to 3.8] mL/cmH2O (n = 60) (Table 2). Since the median value of Crs changes was 0.0 mL/
cmH2O, we defined derecruiters as patients in whom
decreasing PEEP induced a decrease in Crs. When
decreasing PEEP from High-PEEPstart, the estimated
derecruited lung volume was 144 [68–420] mL in the
patients in whom it was measured (n = 30). Nevertheless, the ability of TPTD to assess the changes
in EVLW induced by PEEP has been only scarcely inves-
tigated, despite its important role in ARDS management
[46]. Moreover, the few available studies did not specifi-
cally investigate the artefact that may affect the TPTD
estimation of PEEP-induced changes in EVLW [6–8,
28]. As a matter of fact, by relieving the hypoxic vaso-
constriction in recruited areas, PEEP may allow the cold
indicator to reach these regions, increasing the volume
of EVLW that is accessible to measurement. In our study,
the changes in EVLW were the same among patients
with high or low derecruitment, when derecruitment No differences were found in terms of EVLW changes
between derecruiters and the other patients, defined
according to either the Crs change (n = 60) or the dere-
cruited volume (n = 30). Discussionh This study shows that decreasing PEEP in ARDS patients
induces a small, reversible and rapid decrease in EVLW
measured by TPTD. The recruited lung volume was not
independently associated with this change in EVLW,
while it was the case for the change in CVP. Effects of PEEP changes on haemodynamic variables When we
performed the same analysis by estimating recruitment
according to lung volume changes (n = 30), CVP but not
the recruited lung volume remained significantly associ-
ated to the changes in EVLW (p < 0.001). Were the PEEP‑induced changes in EVLW due to artefacts
of the TPTD technique? All the significant changes in
respiratory variables reversed with a similar amplitude
when PEEP was increased from Low-PEEP45′ to High-
PEEPend (Table 2). Gavelli et al. Ann. Intensive Care (2020) 10:28 Page 5 of 8 Table 2 Haemodynamic and respiratory variables
FiO2 inspired oxygen fraction, PEEP positive end-expiratory pressure, Pplateau plateau pressure, PaO2 arterial oxygen partial pressure, SaO2 arterial oxygen saturation,
SpO2 pulse oxygen saturation
*p < 0.05 vs. High-PEEPstart, **p < 0.05 vs. Low-PEEP45′. See Additional file 2: Table S2 for post hoc comparisons
Variables
High-PEEPstart
Low-PEEP15′
Low-PEEP45′
High-PEEPend
Heart rate (min−1)
89 ± 18
90 ± 19
91 ± 19
91 ± 19
Systolic arterial pressure (mmHg)
130 ± 25
132 ± 19
129 ± 19
124 ± 17
Diastolic arterial pressure (mmHg)
65 ± 20
63 ± 10
62 ± 11
62 ± 10
Mean arterial pressure (mmHg)
86 ± 16
86 ± 13
85 ± 14
83 ± 11
Central venous pressure (mmHg)
15 ± 4
12 ± 4*
12 ± 4*
15 ± 4**
Cardiac index (L/min/m2)
2.77 ± 0.79
3.08 ± 0.85*
3.12 ± 0.90*
2.81 ± 0.89**
Cardiac function index (min−1)
4.0 ± 1.2
4.3 ± 1.3*
4.3 ± 1.3*
4.1 ± 1.3**
Global end-diastolic volume indexed (mL/m2)
750 ± 116
787 ± 168*
791 ± 150*
748 ± 127**
Extravascular lung water (mL/kg)
20 ± 4
18 ± 4*
18 ± 4*
20 ± 5**
Pulmonary vascular permeability index
3.6 ± 1.0
3.5 ± 1.0*
3.5 ± 1.0*
3.6 ± 0.9
Pulse pressure variation (%)
7 [4–14]
6 [4–12]
8 [4–12]
7 [5–11]
Stroke volume variation (%)
8 [5–13]
7 [4–13]
7 [5–13]
8 [6–13]
PEEP (cmH2O)
14 ± 2
5 ± 0*
5 ± 0*
14 ± 2**
Pplateau (cmH2O)
28 ± 2
20 ± 3*
20 ± 3*
28 ± 2**
Respiratory system compliance (mL/cmH2O)
27 [22–32]
26 [24–28]
25 [23–28]
27 [23–31]
SpO2 (%)
98 ± 2
96 ± 3*
95 ± 4*
98 ± 2**
SaO2 (%)
97 ± 3
94 ± 5*
93 ± 6+*
96 ± 4**
PaO2/FiO2 ratio
184 ± 76
150 ± 69*
147 ± 68*
178 ± 76** Table 2 Haemodynamic and respiratory variables FiO2 inspired oxygen fraction, PEEP positive end-expiratory pressure, Pplateau plateau pressure, PaO2 arterial oxygen partial pressure, SaO2 arterial oxygen saturation,
SpO2 pulse oxygen saturation
*p < 0.05 vs. High-PEEPstart, **p < 0.05 vs. Low-PEEP45′. Were the PEEP‑induced changes in EVLW due to artefacts
of the TPTD technique? See Additional file 2: Table S2 for post hoc comparisons Table 3 Linear mixed model estimation on extravascular
lung water changes adjusted by presence or absence
of prone position and by changes in positive end-
expiratory
pressure,
central
venous
pressure,
and compliance of the respiratory system Fig. 1 Individual values of extravascular lung water (EVLW) at
different study times. PEEP positive end-expiratory pressure. *p < 0.05
vs. High-PEEP, **p < 0.05 vs. 45′ after decreasing PEEP at 5 cmH2O CVP central venous pressure, DF degrees of freedom, PEEP positive end-
expiratory pressure, Crs respiratory system compliance
Value
Standard error
DF
t value
p value
Intercept
15.58
1.15
178
13.53
CVP
0.15
0.07
178
2.16
0.03
PEEP
0.13
0.03
178
4.79
< 0.01
Prone position
− 0.78
1.56
57
− 0.5
0.62
Crs
0.61
1.21
57
0.5
0.62 was assessed by the PEEP-induced change in lung vol-
ume, the method that is today the best one for estimat-
ing recruitment/derecruitment at the bedside [36]. It was
also the same in the whole population, when we defined
derecruitment as a decrease in Crs. Moreover, neither the
estimated derecruited lung volume nor the Crs changes
were independently associated with EVLW changes at
linear mixed model analysis. Another argument against the explanation of EVLW
changes by artefacts due to lung recruitment is that
the changes in EVLW were observed rapidly both after Fig. 1 Individual values of extravascular lung water (EVLW) at
different study times. PEEP positive end-expiratory pressure. *p < 0.05
vs. High-PEEP, **p < 0.05 vs. 45′ after decreasing PEEP at 5 cmH2O Fig. 1 Individual values of extravascular lung water (EVLW) at
different study times. PEEP positive end-expiratory pressure. *p < 0.05
vs. High-PEEP, **p < 0.05 vs. 45′ after decreasing PEEP at 5 cmH2O Gavelli et al. Ann. Intensive Care (2020) 10:28 Page 6 of 8 Page 6 of 8 reducing and increasing the PEEP level. Incrementing
and decrementing PEEP have different impact on the
time required to reach equilibrium in the respiratory sys-
tem [47]. The fact that specular changes were observed
after opposite PEEP changes strongly suggests that a
haemodynamic mechanism may be a more plausible
explanation for the observed results. in humans comes from animal studies, and it is much
of an assumption that lymph flow is the same per kilo-
gram of bodyweight in humans as in dogs [51]. Mechanisms of the PEEP‑induced changes in EVLW Since the PEEP-induced changes in EVLW we observed
were not due to artefacts in the TPTD estimation, one
should consider that EVLW was really decreased when
the PEEP level was reduced, and that this small and rapid
change was reversible. Although of small amplitude, the
EVLW changes were actually significant. Moreover, Fig. 1
shows well how EVLW changes were very consistent
among patients. Also, we took the precaution to measure
EVLW by averaging not three but five TPTD measure-
ments, which enabled us to reliably detect small changes
in EVLW [32]. In particular, it might be possible that part of the
changes in EVLW we observed were related to changes
in lung permeability, although this seems to be unlikely
in such a short time. The decrease in PEEP was associ-
ated with a significant but slight decrease in PVPI, which
reflects alveolo-capillary permeability. Nevertheless, this
change was very small, and was not significantly reversed
when PEEP was re-increased. Our results are in accordance with the previous stud-
ies which, amongst very discrepant ones, suggested that
PEEP induces small increases in EVLW [3–8]. In theory,
three mechanisms might explain why EVLW varies in
the same direction as PEEP (Additional file 3: Figure S1). First, decreasing PEEP decreases CVP, which is the back-
ward pressure of the drainage through the thoracic duct. This may happen by direct transmission of the intratho-
racic pressure to the right atrial pressure, or as the
result of the decrease in the right ventricular afterload. Although the changes in EVLW were of lower amplitude
than those of CVP, the results of the linear mixed effect
model make this pathophysiological hypothesis accept-
able. Of note, even though it may increase CVP in ARDS
patients [48, 49], prone position in our population was
not an element influencing the relationship between CVP
and EVLW. Practical implicationsi First, our findings show that TPTD is not flawed by the
level of PEEP, as it has been previously suspected [53]. Second, our observation that increasing PEEP increases
EVLW does not challenge the benefit of PEEP in ARDS. The increase in EVLW we report was small and might be
easily counterbalanced by the potential benefits of PEEP
such as increase in end-expiratory lung volume induced
by recruitment, decrease in pulmonary shunt in recruit-
ers and redistribution of alveolar fluid to extra-alveolar
spaces [36]. Nevertheless, when using TPTD at the bed-
side [54], clinicians should be aware that changing PEEP
might slightly change EVLW and that it is not due to a
worsening of the disease or to the deleterious effects of
some fluid administration. Were the PEEP‑induced changes in EVLW due to artefacts
of the TPTD technique? Then, this
is compatible with the amount of changes in EVLW we
observed. The PEEP decrease led to a reduction of EVLW
by 1.6 ± 1.6 mL/kg, which was equivalent to roughly
100 mL of lung water accumulated in 15 min, and vice
versa when PEEP was re-increased. Nevertheless, since
we did not directly measure the lymphatic flow and since
the link between EVLW and CVP observed in our results
was imperfect, we cannot exclude the contribution of
other mechanisms. Conclusions In ARDS patients, changing the PEEP level induced
parallel, small and reversible changes in EVLW. These
changes were not due to an artefact of the TPTD tech-
nique and are likely due to the PEEP-induced changes
in CVP. Received: 7 June 2019 Accepted: 21 February 2020 Author details 1 Service de médecine intensive ‑ réanimation, Hôpitaux universitaires
Paris-Saclay, Hôpital de Bicêtre, APHP, 78, rue du Général Leclerc, 94270 Le
Kremlin‑Bicêtre, France. 2 Inserm UMR S_999, Univ Paris-Saclay, 78, rue du
Général Leclerc, 94270 Le Kremlin‑Bicêtre, France. 3 Dipartimento di Medicina
Traslazionale, Università del Piemonte Orientale, Via Solaroli 17, 28100 Novara,
Italy. Competing interests J.-L. Teboul and X. Monnet are members of the Medical Advisory Board of
Pulsion Medical Systems. J.-L. Teboul and X. Monnet gave lectures for Masimo. The other authors have no conflict of interest to declare. No financial support. Availability of data and materials we did in the whole population, has many limitations
[36]. Fourth, the number of saline boluses required for
averaging EVLW measurements may have provoked
fluid-induced changes in EVLW. However, the fact
that EVLW decreased at the first study step indicates
that this limitation probably had a very small impact. Fifth, because this was a human study, we could not
directly measure the lymphatic flow, a procedure that
could have strengthened our conclusions. Finally, we
did not insert either a pulmonary artery catheter or
an oesophageal balloon and thus could not estimate
the hydrostatic lung filtration pressure and the trans-
mural pressure. We thus cannot exclude that changing
PEEP also changed the degree of pulmonary oedema
formation. we did in the whole population, has many limitations
[36]. Fourth, the number of saline boluses required for
averaging EVLW measurements may have provoked
fluid-induced changes in EVLW. However, the fact
that EVLW decreased at the first study step indicates
that this limitation probably had a very small impact. Fifth, because this was a human study, we could not
directly measure the lymphatic flow, a procedure that
could have strengthened our conclusions. Finally, we
did not insert either a pulmonary artery catheter or
an oesophageal balloon and thus could not estimate
the hydrostatic lung filtration pressure and the trans-
mural pressure. We thus cannot exclude that changing
PEEP also changed the degree of pulmonary oedema
formation. Individual, de-identified participant data are available from the corresponding
author on reasonable request. References
k 1. Jozwiak M, Teboul J-L, Monnet X. Extravascular lung water in critical care:
recent advances and clinical applications. Ann Intensive Care. 2015;5:38. Supplementary information accompanies this paper at https://doi. org/10.1186/s13613-020-0644-2. Supplementary information acc
/10 1186/ 13613 020 0644 2 Supplementary information ac
org/10.1186/s13613-020-0644-2. Supplementary information accompanies this paper at https://doi. org/10.1186/s13613-020-0644-2. Supplementary information ac
org/10.1186/s13613-020-0644-2. 2. Kushimoto S, Endo T, Yamanouchi S, Sakamoto T, Ishikura H, Kitazawa
Y, et al. Relationship between extravascular lung water and severity
categories of acute respiratory distress syndrome by the Berlin definition. Crit Care. 2013;17:R132. Additional file 1: Table S1. Previous literature regarding positive end-
expiratory pressure effects on lung water in acute respiratory distress
syndrome. 3. Toung T, Saharia P, Permutt S, Zuidema GD, Cameron JL. Aspiration pneu‑
monia: beneficial and harmful effects of positive end-expiratory pressure. Surgery. 1977;82:279–83. Additional file 2: Table S2. Mean difference of haemodynamic and res‑
piratory variables for post hoc comparisons using Tukey HSD approach. g
y
4. Carlile PV, Lowery DD, Gray BA. Effect of PEEP and type of injury
on thermal-dye estimation of pulmonary edema. J Appl Physiol. 1985;1986(60):22–31. Additional file 3: Figure S1. Possible haemodynamic effects of positive
end-expiratory pressure (PEEP) decrease on extravascular lung water
(EVLW) levels, not taking into consideration possible artefactual effects
related to the transpulmonary thermodilution (TPTD) method. 5. Nieman GF, Bredenberg CE, Paskanik AM. Positive end-expiratory pres‑
sure accelerates lung water accumulation in high surface tension edema. Surgery. 1990;107:156–62. 6. Szakmany T, Heigl P, Molnar Z. Correlation between extravascular lung
water and oxygenation in ALI/ARDS patients in septic shock: pos‑
sible role in the development of atelectasis? Anaesth Intensive Care. 2004;32:196–201. Ethics approval and consent to participate Information and consent obtained for each patient.Name of the ethics
committee that approved the study and the Committee’s reference number:
Comité pour la Protection des Personnes, Ile-de-France VII. Trial registration
ID RCB: 2015-A01654-45. Registered 23 October 2015. The patients were
included prospectively. Authors’ contributions JLT and XM conceived and designed the study. AB, CL, FG, IA and TT recruited
the patients and collected the data. DA, FG, JLT and XM analysed and inter‑
preted the data. GCA supervised the data interpretation. FG and XM drafted
the report and all authors contributed to review it. All authors read and
approved the final manuscript. 10. Russell JA, Hoeffel J, Murray JF. Effect of different levels of positive end-
expiratory pressure on lung water content. J Appl Physiol. 1982;53:9–15. 11. Myers JC, Reilley TE, Vento JM, McDonald JS, Carey LC, Cloutier CT. Does compliance reflect oxygen delivery in porcine septic respiratory
failure treated with positive end-expiratory pressure? Crit Care Med. 1987;15:38–40. Abbreviations
ARDS A ARDS: Acute respiratory distress syndrome; CVP: Central venous pressure; CI:
Cardiac index; Crs: Respiratory system compliance; EVLW: Extravascular lung
water; FiO2: Inspired oxygen fraction; PaO2: Arterial oxygen partial pressure;
PaO2/FiO2: Arterial oxygen tension over inspired oxygen fraction ratio; PEEP:
Positive end-expiratory pressure; Pplateau: Plateau pressure; PVPI: Pulmonary
vascular permeability index; SaO2: Arterial oxygen saturation; TPTD: Transpul‑
monary thermodilution; Vt: Tidal volume. 7. Krebs J, Pelosi P, Tsagogiorgas C, Alb M, Luecke T. Effects of positive
end-expiratory pressure on respiratory function and hemodynamics in
patients with acute respiratory failure with and without intra-abdominal
hypertension: a pilot study. Crit Care. 2009;13:R160. 7. Krebs J, Pelosi P, Tsagogiorgas C, Alb M, Luecke T. Effects of positive
end-expiratory pressure on respiratory function and hemodynamics in
patients with acute respiratory failure with and without intra-abdominal
hypertension: a pilot study. Crit Care. 2009;13:R160. 8. Wu X, Zheng R, Zhuang Z. Effect of transpulmonary pressure-guided
positive end-expiratory pressure titration on lung injury in pigs with
acute respiratory distress syndrome. J Clin Monit Comput. 2020;34:151–9 Limitations The second mechanism which may explain why the
PEEP decrease diminished EVLW is a decrease in the
formation of lung water (Additional file 3: Figure S1). Indeed, the intrathoracic pressure is transmitted to the
left atrium, such that when PEEP is decreased, the intra-
mural pulmonary capillary pressure is decreased as well. It is well known that, on the opposite, augmenting PEEP
increases the intramural pulmonary artery occlusion
pressure [50]. We could not assess this mechanism, since
we estimated neither the pulmonary capillary pressure
nor the pulmonary artery occlusion pressure in our study.hl The second mechanism which may explain why the
PEEP decrease diminished EVLW is a decrease in the
formation of lung water (Additional file 3: Figure S1). Indeed, the intrathoracic pressure is transmitted to the
left atrium, such that when PEEP is decreased, the intra-
mural pulmonary capillary pressure is decreased as well. It is well known that, on the opposite, augmenting PEEP
increases the intramural pulmonary artery occlusion
pressure [50]. We could not assess this mechanism, since
we estimated neither the pulmonary capillary pressure
nor the pulmonary artery occlusion pressure in our study. The normal pulmonary lymphatic flow is estimated
to be 8–9 mL/h in humans [51]. Nevertheless, it has
been reported that the pulmonary lymphatic flow could
increase to tenfold, or even more, during ARDS [52]. Moreover, the estimation of pulmonary lymphatic flow First, we only observed the short-term effects of PEEP. We judged it was ethically unacceptable to maintain
these patients with ARDS at a low PEEP level for a
long time. Moreover, it would have been impossible to
avoid confounding events (changes in ventilatory set-
ting and fluid administration or removal) over longer
periods. Second, we estimated the derecruited volume
during the PEEP decrease and not the recruited volume
during the PEEP re-increase. Indeed, we speculated
that derecruitment may occur faster than recruitment
and be easier to detect [34]. Third, we directly meas-
ured the PEEP-induced changes in lung volume in 30
patients only, though it is the best method to estimate
lung recruitment or derecruitment at the bedside. Estimating derecruitment through changes in Crs, as The normal pulmonary lymphatic flow is estimated
to be 8–9 mL/h in humans [51]. Nevertheless, it has
been reported that the pulmonary lymphatic flow could
increase to tenfold, or even more, during ARDS [52]. Moreover, the estimation of pulmonary lymphatic flow Gavelli et al. Ann. Limitations Intensive Care (2020) 10:28 Gavelli et al. Ann. Intensive Care (2020) 10:28 Page 7 of 8 Acknowledgem
Not applicable. 9. Dunegan LJ, Knight DC, Harken A, O’Conner N, Morgan A. Lung thermal
volume in pulmonary edema: effect of positive end expiratory pressure. Ann Surg. 1975;181:809–12. Funding 12. Borg T, Modig J. Intermittent and continuous positive-pressure ventila‑
tion in the prophylaxis of endotoxin-induced lung insufficiency. A study
in pigs. Acta Anaesthesiol Scand. 1987;31:67–72. No funding. Gavelli et al. Ann. Intensive Care (2020) 10:28 Page 8 of 8 Gavelli et al. Ann. Intensive Care (2020) 10:28 13. Myers JC, Reilley TE, Cloutier CT. Effect of positive end-expiratory pressure
on extravascular lung water in porcine acute respiratory failure. Crit Care
Med. 1988;16:52–4. 35. Dellamonica J, Lerolle N, Sargentini C, Beduneau G, Di Marco F, Mercat A,
et al. PEEP-induced changes in lung volume in acute respiratory distress
syndrome. Two methods to estimate alveolar recruitment. Intensive Care
Med. 2011;37:1595–604. 14. Corbridge TC, Wood LD, Crawford GP, Chudoba MJ, Yanos J, Sznajder JI. Adverse effects of large tidal volume and low PEEP in canine acid aspiration
Am Rev Respir Dis. 1990;142:311–5. 36. Sahetya SK, Goligher EC, Brower RG. Fifty years of research in ARDS. Setting
positive end-expiratory pressure in acute respiratory distress syndrome. Am
J Respir Crit Care Med. 2017;195:1429–38. 15. Colmenero-Ruiz M, Fernández-Mondéjar E, Fernández-Sacristán MA,
Rivera-Fernández R, Vazquez-Mata G. PEEP and low tidal volume ventilation
reduce lung water in porcine pulmonary edema. Am J Respir Crit Care Med. 1997;155:964–70. 37. Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, et al. Sur‑
viving sepsis campaign: international guidelines for management of sepsis
and septic shock: 2016. Intensive Care Med. 2017;43:304–77. 38. Jozwiak M, Silva S, Persichini R, Anguel N, Osman D, Richard C, et al. Extravas‑
cular lung water is an independent prognostic factor in patients with acute
respiratory distress syndrome. Crit Care Med. 2013;41:472–80. 16. Ruiz-Bailén M, Fernández-Mondéjar E, Hurtado-Ruiz B, Colmenero-Ruiz
M, Rivera-Fernández R, Guerrero-López F, et al. Immediate application of
positive-end expiratory pressure is more effective than delayed positive-
end expiratory pressure to reduce extravascular lung water. Crit Care Med. 1999;27:380–4. 39. Tagami T, Kushimoto S, Yamamoto Y, Atsumi T, Tosa R, Matsuda K, et al. Vali‑
dation of extravascular lung water measurement by single transpulmonary
thermodilution: human autopsy study. Crit Care. 2010;14:R162. 17. Luecke T, Roth H, Herrmann P, Joachim A, Weisser G, Pelosi P, et al. PEEP
decreases atelectasis and extravascular lung water but not lung tis‑
sue volume in surfactant-washout lung injury. Intensive Care Med. 2003;29:2026–33. 40. Dres M, Teboul J-L, Guerin L, Anguel N, Amilien V, Clair M-P, et al. Funding Fan E, Brodie D, Slutsky AS. Acute respiratory distress syndrome: advances in
diagnosis and treatment. JAMA. 2018;319:698–710. 47. Chiumello D, Coppola S, Froio S, Mietto C, Brazzi L, Carlesso E, et al. Time to
reach a new steady state after changes of positive end expiratory pressure. Intensive Care Med. 2013;39:1377–85. 25. Slutsky RA. Reduction in pulmonary blood volume during positive end-
expiratory pressure. J Surg Res. 1983;35:181–7. 48. Pelosi P, Bottino N, Chiumello D, Caironi P, Panigada M, Gamberoni C, et al. Sigh in supine and prone position during acute respiratory distress syn‑
drome. Am J Respir Crit Care Med. 2003;167:521–7. 26. Helbert C, Paskanik A, Bredenberg CE. Effect of positive end-expiratory pres‑
sure on lung water in pulmonary edema caused by increased membrane
permeability. Ann Thorac Surg. 1983;36:42–8. y
27. Malo J, Ali J, Wood LD. How does positive end-expiratory pressure reduce
intrapulmonary shunt in canine pulmonary edema? J Appl Physiol. 1984;57:1002–10. 49. Jozwiak M, Teboul J-L, Anguel N, Persichini R, Silva S, Chemla D, et al. Beneficial hemodynamic effects of prone positioning in patients with acute
respiratory distress syndrome. Am J Respir Crit Care Med. 2013;188:1428–33. 28. Toth I, Leiner T, Mikor A, Szakmany T, Bogar L, Molnar Z. Hemodynamic
and respiratory changes during lung recruitment and descending optimal
positive end-expiratory pressure titration in patients with acute respiratory
distress syndrome. Crit Care Med. 2007;35:787–93. 50. Teboul JL, Pinsky MR, Mercat A, Anguel N, Bernardin G, Achard JM, et al. Estimating cardiac filling pressure in mechanically ventilated patients with
hyperinflation. Crit Care Med. 2000;28:3631–6. ypl
51. Hedenstierna G, Lattuada M. Lymphatics and lymph in acute lung injury. Curr Opin Crit Care. 2008;14:31–6. 29. ARDS Definition Task Force, Ranieri VM, Rubenfeld GD, Thompson BT, Fer‑
guson ND, Caldwell E, et al. Acute respiratory distress syndrome: the Berlin
Definition. JAMA. 2012;307:2526–33. 52. Frostell C, Blomqvist H, Wickerts CJ. Effects of PEEP on extravascular lung
water and central blood volume in the dog. Acta Anaesthesiol Scand. 1987;31:711–6. 30. Dufour N, Delville M, Teboul J-L, Camous L, Favier du Noyer A, Richard C,
et al. Transpulmonary thermodilution measurements are not affected by
continuous veno-venous hemofiltration at high blood pump flow. Intensive
Care Med. 2012;38:1162–8. 53. Effros RM, Pornsuriyasak P, Porszasz J, Casaburi R. Indicator dilution measure‑
ments of extravascular lung water: basic assumptions and observations. Am
J Physiol Lung Cell Mol Physiol. 2008;294:L1023–31. 31. Sakka SG, Hanusch T, Thuemer O, Wegscheider K. Funding Transpul‑
monary thermodilution enables to detect small short-term changes in
extravascular lung water induced by a bronchoalveolar lavage. Crit Care
Med. 2014;42:1869–73. 18. Hopewell PC. Failure of positive end-expiratory pressure to decrease lung
water content in alloxan-induced pulmonary edema. Am Rev Respir Dis. 1979;120:813–9. 41. Cordemans C, De Laet I, Van Regenmortel N, Schoonheydt K, Dits H, Huber
W, et al. Fluid management in critically ill patients: the role of extravascular
lung water, abdominal hypertension, capillary leak, and fluid balance. Ann
Intensive Care. 2012;2:S1. 19. Miller WC, Rice DL, Unger KM, Bradley BL. Effect of PEEP on lung water
content in experimental noncardiogenic pulmonary edema. Crit Care Med. 1981;9:7–9. 42. Huber W, Höllthaler J, Schuster T, Umgelter A, Franzen M, Saugel B, et al. Association between different indexations of extravascular lung water
(EVLW) and PaO2/FiO2: a two-center study in 231 patients. PLoS ONE. 2014;9:e103854. 20. Peitzman AB, Corbett WA, Shires GT, Lynch NJ, Shires GT. The effect of
increasing end-expiratory pressure on extravascular lung water. Surgery. 1981;90:439–45. 21. Peitzman AB, Shires GT, Illner H, Shires GT. Pulmonary acid injury: effects of
positive end-expiratory pressure and crystalloid vs colloid fluid resuscitation. Arch Surg. 1960;1982(117):662–8. 43. Martin GS, Eaton S, Mealer M, Moss M. Extravascular lung water in patients
with severe sepsis: a prospective cohort study. Crit Care. 2005;9:R74–82. 44. Mallat J, Pepy F, Lemyze M, Barrailler S, Gasan G, Tronchon L, et al. Extravas‑
cular lung water indexed or not to predicted body weight is a predictor of
mortality in septic shock patients. J Crit Care. 2012;27:376–83. 22. Luce JM, Robertson HT, Huang T, Colley PS, Gronka R, Nessly ML, et al. The
effects of expiratory positive airway pressure on the resolution of oleic acid-
induced lung injury in dogs. Am Rev Respir Dis. 1982;125:716–22. 45. Tagami T, Nakamura T, Kushimoto S, Tosa R, Watanabe A, Kaneko T, et al. Early-phase changes of extravascular lung water index as a prognostic
indicator in acute respiratory distress syndrome patients. Ann Intensive Care
2014;4:27. g
j
y
g
23. Saul GM, Feeley TW, Mihm FG. Effect of graded administration of PEEP
on lung water in noncardiogenic pulmonary edema. Crit Care Med. 1982;10:667–9. 24. Luce JM, Huang TW, Robertson HT, Colley PS, Gronka R, Nessly ML, et al. The
effects of prophylactic expiratory positive airway pressure on the resolution
of oleic acid-induced lung injury in dogs. Ann Surg. 1983;197:327–36. 46. contents). 32. Monnet X, Persichini R, Ktari M, Jozwiak M, Richard C, Teboul J-L. Precision of
the transpulmonary thermodilution measurements. Crit Care. 2011;15:R204. 32. Monnet X, Persichini R, Ktari M, Jozwiak M, Richard C, Teboul J-L. Precision of
the transpulmonary thermodilution measurements. Crit Care. 2011;15:R204. 33. Monnet X, Teboul J-L. Transpulmonary thermodilution: advantages and
limits. Crit Care. 2017;21:147. Funding The influence of veno‑
venous renal replacement therapy on measurements by the transpulmo‑
nary thermodilution technique. Anesth Analg. 2007;105:1079–82 (table of
contents). 54. Cecconi M, De Backer D, Antonelli M, Beale R, Bakker J, Hofer C, et al. Consensus on circulatory shock and hemodynamic monitoring. Task force
of the European Society of Intensive Care Medicine. Intensive Care Med. 2014;40:1795–815. Publisher’s Note
S
N 33. Monnet X, Teboul J-L. Transpulmonary thermodilution: advantages and
limits. Crit Care. 2017;21:147. Springer Nature remains neutral with regard to jurisdictional claims in pub‑
lished maps and institutional affiliations. Springer Nature remains neutral with regard to jurisdictional claims in pub‑
lished maps and institutional affiliations. 34. Chen L, Chen G-Q, Shore K, Shklar O, Martins C, Devenyi B, et al. Implement‑
ing a bedside assessment of respiratory mechanics in patients with acute
respiratory distress syndrome. Crit Care. 2017;21:84.
|
https://openalex.org/W2106941578
|
https://casesjournal.biomedcentral.com/track/pdf/10.1186/1757-1626-3-30
|
English
| null |
Non-traumatic fractures following seizures: two case reports
|
Cases journal
| 2,010
|
cc-by
| 2,596
|
* Correspondence: ines.slim@yahoo.fr
Department of Endocrinology and Diabetology, Farhat Hached University
Hospital, Ibn Jazzar Street, 4002 Soussa, Tunisia © 2010 Ach et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited. Open Access Open Access Abstract Introduction: Seizures with or without trauma may cause fractures that occur commonly in epileptic seizures. Fracture risk is less reported in non-epileptic seizures. Some metabolic conditions leading to a decrease in bone
mineral density may cause fractures secondary to non-epileptic seizure. Case presentation: We describe two cases of non-traumatic acetabular and vertebrae fractures following seizures
without history of epilepsy. They occurred in two male patients, 18 and 48 years old suffering respectively from
hypercorticism and poorly controlled diabetes mellitus. Seizures, occurring inside hospital, were secondary to
hypertensive encephalopathy crisis with hypokaliemia in the first case and severe hypoglycaemia in the second
one. Fracture was promoted by a decrease in mineral bone density caused respectively by hypercorticism and
diabetic chronic renal failure. Conclusion: These observations emphasize that fracture prevention among patients with decreased mineral bone
density should include the avoidance of metabolic causes of seizure. Non-traumatic fractures following seizures: two
case reports Koussay Ach, Ines Slim*, Sihem Trimech Ajmi, Molka Chadli Chaieb, Amel Maaroufi Beizig, Larbi Chaieb Introduction generalized tonic-clonic seizures that was not followed
by trauma and that regressed after parenteral hypertonic
glucose serum perfusion. Seizures increase fracture risk [1], occurring in the
whole of the skeleton even without trauma [2]. This risk
is mainly reported in epileptic seizures because of
repeated occurrence of attacks and osteopenia due to
the use of anti-epileptic drugs [1]. Literature data have
shown that fractures are more related to the seizure
itself rather than to the iatrogenic factor [1]. Moreover,
some metabolic conditions may lead to a decrease in
bone mineral density and hence may be considered as
risk factors of fracture when seizures occur. We report
here two cases of this unusual situation to resort its
eventual prevention. Laboratory assessment showed a severe hypoglycemia
(capillary glycemia at 1.8 mmol/l) and nephrotic syn-
drome with renal failure (creatininemia at 241 μmol/l). After seizure, the patient presented a disability of the
left lower limb. X-ray examination showed a fracture in
the left iliac bone localized in the acetabular floor (Fig-
ure 1) while brain CT-scan was normal. The patient was
referred to orthopedic center where he was treated con-
servatively. Six months later, the patient was able to
walk. Insulin therapy was adjusted aiming to avoid
hypoglycemia. Ach et al. Cases Journal 2010, 3:30
http://www.casesjournal.com/content/3/1/30 Ach et al. Cases Journal 2010, 3:30
http://www.casesjournal.com/content/3/1/30 Case report 1 An Arabic 18-year-old man from North Africa (Tunisia)
was referred to our department for suspicion of Cushing
syndrome. On physical examination, the patient was
obese (BMI at 32 kg/m2), he had purplish abdominal
striae and hypertension (systolic pressure between 15
and 17 mmHg). Neurological examination was normal. An Arabic 48-year-old man from North Africa (Tunisia)
with a ten year history of diabetes mellitus is treated by
insulin twice a day for seven years. His diabetes is
poorly controlled mainly due to lack of observance. Additionally, he suffered from depression with suicide
ideas. Shortly after an overdose of insulin, he developed Laboratory examination showed hypokalemia at 2.1
mmol/l confirmed in several samples separately per-
formed while glycemia and calcemia were at normal
range. Urinary free cortisol excretion was high (462 Ach et al. Cases Journal 2010, 3:30
http://www.casesjournal.com/content/3/1/30 Page 2 of 4 Figure 1 Radiography of hip after seizures showing left acetabular fracture (Case 1). Figure 1 Radiography of hip after seizures showing left acetabular fracture (Case 1). Figure 1 Radiography of hip after seizures showing left acetabular fracture (Case 1). reported fractures during seizures. Fracture risk is nota-
bly increased mainly among epileptic patients. It occurs
in 11% of patients mainly within the first two years of
diagnosis. This risk is directly related to seizures in 43%
of cases in one of the largest series [3]. μmol/24 h) and was not suppressed after both low and
high doses of dexamethasone confirming the diagnosis
of Cushing syndrome. X-ray examination (Figure 2) and
bone densitometry revealed decrease of bone mineral
density with a Z-score of -2. Brain MRI imaging showed
a double pituitary adenoma without any other hemi-
spheric lesion. The diagnosis of corticotropic adenoma
was retained. Fractures concern the whole of skeleton particularly
the skull, members, vertebras and the hip and may be
multiples, bilateral or associated to other lesions such as
dislocations of the shoulder [4,5]. They induce an
increase of management cost of epileptic disease [6]. Acetabular fracture observed in the first patient has also
been reported and may be serious leading to fatal pelvic
haemorrhage [7,8]. During an acute hypertensive peak at 220 mm Hg, the
patient developed tonic-clonic seizures without any
trauma. His glycemia was normal (5.6 mmol/l). Seizures
regressed after intravenous load of Loxen* and Diaze-
pam* however the patient suffered from mild low back
pain. Case report 1 Radiographies identified L2, L3, L4 and L5 burst
fractures (Figure 3). Non-epileptic seizures reported in our cases are unu-
sual. In our first case, seizures are related to severe
hypoglycaemia, which is common cause of seizures. They were reported in 4.7% of all the hospitalisations
for hypoglycaemias especially in old and depressive
patients [9]. Concerning the second patient, seizures are
caused by encephalopathy hypertensive crisis in addition
to hypokaliemia due to hypercorticism. These results are
in line with database that emphasizes the role of hyper-
tensive encephalopathy [10], and ionic disorders in sei-
zures such as hypokaliemia and hypocalcaemia [5]. Cushing disease was surgically treated with regression
of hypertension and weight. Bone mineral density was
checked two years later and showed an improved Z-
score. Discussion We reported here two cases of hip and vertebrae frac-
tures following non-epileptic generalized tonic-clonic
seizures without any trauma or fall. Several data have Ach et al. Cases Journal 2010, 3:30
http://www.casesjournal.com/content/3/1/30 Page 3 of 4 Figure 2 Radiography of lumbar vertebras before seizures
showing bone demineralization (patient n 2). Figure 3 Radiography of lumbar vertebras after seizures
showing fractures (patient n 2). Figure 3 Radiography of lumbar vertebras after seizures
showing fractures (patient n 2). Figure 2 Radiography of lumbar vertebras before seizures
showing bone demineralization (patient n 2). Fractures occurring without any trauma suggest pre-
vious bone fragility due to other illness [5]. Bone fragi-
lity has been confirmed in our second patient by bone
mineral densitometry assessment before seizures. Figure 3 Radiography of lumbar vertebras after seizures
showing fractures (patient n 2). as in our patient [13] or when diagnosis is delayed [16]
leading to definitive bone sequels. Our cases concern male young patients who are not at
risk of primary osteoporosis. Among classic reported
causes of male secondary osteoporosis [11], we can
incriminate secondary hyperparathyroidism caused by
diabetic renal failure in the first patient [12] and hyper-
corticism in the second one [13]. Nevertheless, diabetes mellitus is an unusual cause of
osteoporosis and usually we find associated fracture risk
factors [17]. Diabetes could play an indirect role through
increasing fall risk-related fractures due to feet injuries
[18]. Of interest, some prospective data showed that dia-
betes mellitus is a statistically risk factor of osteoporosis
especially in insulin treated diabetes, long history of dia-
betes or in elderly [19]. Hypercorticism is one of the main diseases that cause
osteoporosis leading to fractures. Vertebral bodies and
ribs are the typical sites of fracture both in Cushing’s
syndrome and in patients using glucocorticoid drugs
long-term [14]. The frequency of vertebral fractures has
ranged from 16 to 20% [14]. Decreased bone mineraliza-
tion is particularly pronounced in children and in young
females with Cushing’s syndrome [14]. Interestingly, ear-
lier studies had shown that young and adolescent
patients undergoing glucocorticoid therapy may lose
bone mass more rapidly than older patients [15]. Frac-
ture risk is higher at the onset of disease and may reveal
it. Discussion It may also occur during clinical investigations such The role of metabolic control in osteopenia is still not
well established despite that some data suggest that
insulin, growth factors or osmotic factors such as extra-
cellular glucose levels may play a significant role in the
osteoblast metabolism [20]. References Publish with BioMed Central and every
scientist can read your work free of charge
"BioMed Central will be the most significant development for
disseminating the results of biomedical research in our lifetime."
Sir Paul Nurse, Cancer Research UK
Your research papers will be:
available free of charge to the entire biomedical community
peer reviewed and published immediately upon acceptance
cited in PubMed and archived on PubMed Central
yours — you keep the copyright
Submit your manuscript here:
http://www.biomedcentral.com/info/publishing_adv.asp
BioMedcentral Publish with BioMed Central and every
scientist can read your work free of charge
"BioMed Central will be the most significant development for
disseminating the results of biomedical research in our lifetime."
Sir Paul Nurse, Cancer Research UK
Your research papers will be:
available free of charge to the entire biomedical community
peer reviewed and published immediately upon acceptance
cited in PubMed and archived on PubMed Central
yours — you keep the copyright
Submit your manuscript here:
http://www.biomedcentral.com/info/publishing_adv.asp
BioMedcentral Publish with BioMed Central and every
scientist can read your work free of charge
"BioMed Central will be the most significant development for
disseminating the results of biomedical research in our lifetime."
Sir Paul Nurse, Cancer Research UK
Your research papers will be:
available free of charge to the entire biomedical community
peer reviewed and published immediately upon acceptance
cited in PubMed and archived on PubMed Central
yours — you keep the copyright
Submit your manuscript here:
http://www.biomedcentral.com/info/publishing_adv.asp
BioMedcentral Publish with BioMed Central and every
scientist can read your work free of charge 12. Akcali O, Kosay C, Gunal I, Alici E: Bilateral trochanteric fractures of the
femur in a patient with chronic renal failure. Int Orthop 2000, 24:179-180. 12. Akcali O, Kosay C, Gunal I, Alici E: Bilateral trochanteric fractures of the
femur in a patient with chronic renal failure. Int Orthop 2000, 24:179-180. 13. Mancini T, Doga M, Mazziotti G, Giustina A: Cushing’s syndrome and bone. Pituitary 2004, 7:243-246. 13. Mancini T, Doga M, Mazziotti G, Giustina A: Cushing’s syndrome and bone. Pituitary 2004, 7:243-246. 14. Khanine V, Fournier JJ, Requeda E, Luton JP, Simon F, Crouzet J:
Osteoporotic fractures at presentation of Cushing’s disease: two case
reports and a literature review. Joint Bone Spine 2000, 67:341-345. 14. Khanine V, Fournier JJ, Requeda E, Luton JP, Simon F, Crouzet J:
Osteoporotic fractures at presentation of Cushing’s disease: two case
reports and a literature review. Joint Bone Spine 2000, 67:341-345. 15. Consent Written informed consent was obtained from the patient
for publication of this case report and accompanying
images. A copy of the written consent is available for
review from the journal’s Editor-in-Chief. doi:10.1186/1757-1626-3-30
Cite this article as: Ach et al.: Non-traumatic fractures following
seizures: two case reports. Cases Journal 2010 3:30. Conclusion These cases demonstrate the possibility of non-trau-
matic fracture following seizure. Diabetes mellitus and Page 4 of 4 Page 4 of 4 Ach et al. Cases Journal 2010, 3:30
http://www.casesjournal.com/content/3/1/30 Ach et al. Cases Journal 2010, 3:30
http://www.casesjournal.com/content/3/1/30 17. Forsen L, Meyer HE, Midthjell K, Edna TH: Diabetes mellitus and the
incidence of hip fracture: results from the Nord-Trondelag Health
Survey. Diabetologia 1999, 42:920-925. 17. Forsen L, Meyer HE, Midthjell K, Edna TH: Diabetes mellitus and the
incidence of hip fracture: results from the Nord-Trondelag Health
Survey. Diabetologia 1999, 42:920-925. hypercorticism may cause, even in males, osteoporosis
and subsequently are considered as risk factors of sei-
zures and fractures. Importantly, these conditions may
be well-managed to prevent osteoporosis. We insist not
only on avoiding falls and trauma but also on preventing
metabolic causes of seizures such as hypoglycaemia,
ionic disturbances and hypertensive encephalopathy. y
18. Wallace C, Reiber GE, LeMaster J, Smith DG, Sullivan K, Hayes S, Vath C:
Incidence of falls, risk factors for falls, and fall-related fractures in
individuals with diabetes and a prior foot ulcer. Diabetes Care 2002,
25:1983-1986. 19. Nicodemus KK, Folsom AR: Iowa Women’s Health Study. Type 1 and type
2 diabetes and incident hip fractures in postmenopausal women. Diabetes Care 2001, 24:1192-1197. 20. Leidig-Bruckner G, Ziegler R: Diabetes mellitus a risk for osteoporosis?. Exp
Clin Endocrinol Diabetes 2001, 109(Suppl 2):S493-S514. Competing interests Received: 30 November 2009
Accepted: 18 January 2010 Published: 18 January 2010 Received: 30 November 2009 Authors’ contributions
f ll
d h KA, IS, STA followed the patients reported here. KA, IS wrote the paper, MCC,
AMB, LC reviewed the paper. Competing interests
The authors declare that they have no competing interests. Competing interests
The authors declare that they have no competing interests. Competing interests
The authors declare that they have no competing interests. References 1. Vestergaard P, Tigaran S, Rejnmark L, Tigaran C, Dam M, Mosekilde L:
Fracture risk is increased in epilepsy. Acta Neurol Scand 1999, 99:269-275 2. Takahashi T, Tominaga T, Shamoto H, Shimizu H, Yoshimoto T: Seizure-
induced thoracic spine compression fracture: case report. Surg Neurol
2002, 58:214-216. 3. Persson HB, Alberts KA, Farahmand BY, Tomson T: Risk of extremity
fractures in adult outpatients with epilepsy. Epilepsia 2002, 43:768-772. 4. Heckmann JG, Stangl R, Erbguth F, Rutherford H, Neundorfer B: Non
traumatic seizure-associated bilateral fractures of the head of the
humerus. Intensive Care Med 1999, 25:548-549. g
g
traumatic seizure-associated bilateral fractures of the head of the
humerus. Intensive Care Med 1999, 25:548-549. 5. Gosens T, Poels PJ, Rondhuis JJ: Posterior dislocation fractures of the
shoulder in seizure disorders - two case reports and a review of
literature. Seizure 2000, 9:446-448. 6. Davidson DL, Mac Donald S: The costs of trauma caused by seizures: can
they be reduced?. Seizure 2002, 11:344-347. 7. Sikkink CJ, Tol van der A: Unilateral transverse acetabular fracture with
medial displacement of the femoral head after an epileptic seizure. J
Trauma 2000, 48:777-778. 8. Hughes CA, O’Briain D: Sudden death from pelvic haemorrhage after
bilateral central fracture dislocations of the hip due to an epileptic
seizure. Am J Forensic Med Pathol 2000, 21:380-384. 9. Stepka M, Rogala H, Czyzyk A: Hypoglycaemia: a major problem in the
management of diabetes in the elderly. Aging (Milano) 1993, 5:117-121. 9. Stepka M, Rogala H, Czyzyk A: Hypoglycaemia: a major problem in the
management of diabetes in the elderly. Aging (Milano) 1993, 5:117-121. 9. Stepka M, Rogala H, Czyzyk A: Hypoglycaemia: a major problem in the
management of diabetes in the elderly. Aging (Milano) 1993, 5:117-121. 10. Zgurzynski P, Manno M: Coccygeal fracture, constipation, convulsion, and
confusion: a case report of malignant hypertension in a child. Pediatr
Emerg Care 1999, 15:425-428. 10. Zgurzynski P, Manno M: Coccygeal fracture, constipation, convulsion, and
confusion: a case report of malignant hypertension in a child. Pediatr
Emerg Care 1999, 15:425-428. 10. Zgurzynski P, Manno M: Coccygeal fracture, constipation, convulsion, and
confusion: a case report of malignant hypertension in a child. Pediatr
Emerg Care 1999, 15:425-428. g
11. Seeman E: Osteoporosis in men. Baillieres Clin Rheumatol 1997, 11:613-629. g
11. Seeman E: Osteoporosis in men. Baillieres Clin Rheumatol 1997, 11:613-629. References Ruegsegger P, Medici T, Anlider M: Corticosteroid-induced bone loss: a
longituidal study of alternate day therapy in patients with bronchial
asthma using quantitative computed tomography. Eur J Clin Pharmacol
1983, 25:615-620. 16. Yoshihara A, Okubo Y, Tanabe A, Sata A, Nishimaki M, Kawamata T, Kubo O,
Hori T, Takano K: A Juvenile Case of Cushing’s Disease Incidentally
Discovered with Multiple Bone Fractures. Intern Med 2007, 46:583-587.
|
https://openalex.org/W2613542736
|
https://europepmc.org/articles/pmc5429186?pdf=render
|
English
| null |
Fabrication of silicon films from patterned protruded seeds
|
AIP advances
| 2,017
|
cc-by
| 4,584
|
Fabrication of silicon films from patterned protruded seeds
Huang Zeng,1,2,a Wei Zhang,2,a Jizhou Li,1,2 Cong Wang,2 Hui Yang,2 Received 1 March 2017; accepted 3 May 2017; published online 12 May 2017) (Received 1 March 2017; accepted 3 May 2017; published online 12 May 2017) Thin, flexible silicon crystals are starting up applications such as light-weighted flex-
ible solar cells, SOI, flexible IC chips, 3D ICs imagers and 3D CMOS imagers on
the demand of high performance with low cost. Kerfless wafering technology by
direct conversion of source gases into mono-crystalline wafers on reusable substrates
is highly cost-effective and feedstock-effective route to cheap wafers with the thick-
ness down to several microns. Here we show a prototype for direct conversion of
silicon source gases to wafers by using the substrate with protruded seeds. A reliable
and controllable method of wafer-scaled preparation of protruded seed patterns has
been developed by filling liquid wax into a rod array as the mask for the selective
removal of oxide layer on the rod head. Selectively epitaxial growth is performed on
the protruded seeds, and the voidless film is formed by the merging of neighboring
seeds through growing. And structured hollows are formed between the grown film
and the substrate, which would offer the transferability of the grown film and the
reusability of the protruded seeds. © 2017 Author(s). All article content, except where
otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license
(http://creativecommons.org/licenses/by/4.0/). [http://dx.doi.org/10.1063/1.4983575] AIP ADVANCES 7, 055307 (2017) aThese authors contributed equally.
bAuthors to whom correspondence should be addressed. Electronic mails: yigangchen@shu.edu.cn; liudf@sari.ac.cn. aThese authors contributed equally.
bAuthors to whom correspondence should be addressed. Electronic mails: yigangchen@shu.edu.cn; liudf@sari.ac.cn. aThese authors contributed equally.
bAuthors to whom correspondence should be addressed. Electronic mails: yigangchen@shu.edu.cn; liudf@sari.ac.cn.
2158-3226/2017/7(5)/055307/9
7, 055307-1
© Author(s) 2017 I. INTRODUCTION Silicon is the dominant semiconductor material in the modern electronic and photovoltaic indus-
tries. It is mostly used in the form of wafers sliced by costly wire-sawing from ingots.1–5 However,
due to kerf loss, the slicing of ingot into wafers wastes great amount of expensive, high pure feed-
stock. Additionally, ultrathin wafers are hardly manufactured by wire-sawing because of concern
about mechanical stability when sawn.5 In recent years, a direct conversion of feedstock gas to wafers technology based on epitaxial
growth on porous silicon has been well developed.6–15 In this technology, a porous silicon bilayer was
built by anodization of traditional Si mono-crystal wafers in HF solution with platinum as cathode; the
pores on the surface were sealed by hydrogen annealing, forming a thin quasi-mono-crystal template
for subsequent epitaxial growth of silicon; the unsealed porous layer was used as a sacrificial layer
when the grown wafer was lifted off; and the thickness of grown wafer was controlled just by growth
duration, available from several microns to hundreds of microns. And multiple use of the mother
substrate can be achieved by rebuilding the porous bilayer after the grown wafer detached. Therefore,
this gas-to-wafer technology provided a greatly raw-material-effective and cost-effective route to
wafers by skipping the traditional Siemens’ poly-silicon synthesis, ingoting, and wire-sawing steps,
and facilitated to realize flexible devices with the ultrathin wafers. Nowadays, thin flexible silicon
crystals are spurring applications such as high efficient light-weight and flexible solar cells,8–11,16,17
SOI,12 flexible IC chips,13 monolithic 3D ICs and CMOS imager,14,15 and flexible transistors.18 © Author(s) 2017 2158-3226/2017/7(5)/055307/9 7, 055307-1 055307-2
Zeng et al. AIP Advances 7, 055307 (2017) However, it is rather challenging for the epitaxial technology based on porous silicon layers to avoid
metallic contaminants from the electrolyte,8 and the reuse of mother substrates is limited by the
re-creating step of the porous double layer in electrolyte solution.19,20 In this work, we demonstrate a prototype using patterned protruded seeds to epitaxially grow
silicon films,21 intending to form uniformly hollows between the grown film and the mother sub-
strate by the seed supporting structures, in this way, one approach might be achieved that the grown
film / wafer could be lifted off without any sacrificial layer and the seeded mother substrate could be
reused without any rebuilding steps in liquid. B. Fabrication of protruded seed patterns 4′′, n-type, (100) oriented, 500 µm thick commercial Cz-Si wafers were used as the mother sub-
strates. Traditional UV-photolithography was used to form photo-resist mask pattern for inductively
coupled dry etching silicon to fabricate rod array; the rods had the diameter of 4µm and the length
of 10-15µm, and the array had the period of 10µm. µ
y
p
µ
Among the procedure of the prototype, selective removal of the oxide layer on the rod head
is vital for the successful fabrication of patterned protruded seeds. Figure 2 shows the schematic
procedure of selective removal of oxide layer on the rod head by using wax as the mask. Firstly, after
the thermal oxidization, the substrate is immersed into a molten wax liquid which pushes away the
air between the rods and completely fills the space among the rods. Secondly, the substrate is taken
out from the wax liquid and kept inclined to run away the surplus liquid on the top of the rods, at
the same time, the filled liquid will be retained because of its adhesiveness and the blocking effect of
the rods. Thirdly, the substrate is placed horizontally and the filled wax liquid will get self-flattened. Finally, the heating system is shut off and the filled wax liquid gets cooled to room temperature and
becomes solid, and the wax will contract a little because of the phase transition from liquid to solid,
thus showing up the rod heads for selective removal of the oxide layer by wet etch. By the way, due
to the adhesiveness of the wax liquid, there is always a thin wax layer sticky on the rod heads when
the wax liquid becomes solid and shrinks. Hence, before the wet etch, the substrate should be put into
a slightly soluble organic solvent of wax to get rid of its thin layer on the rod heads. The selective
wet etch was here performed by buffered oxide etcher (BOE), and the etching duration was used to
control the etched depth down to the rods, i.e., the length of the seeds. A. The strategy of the prototype The strategy of the prototype is schematically shown in Figure 1, a periodically patterned silicon
rod array is prepared by the traditional photolithography and inductive coupled plasma (ICP) dry
etching method using Czochralski mono-crystal silicon (Cz-Si) wafers as mother substrates; thermal
oxidization is performed to form SiO2 layer on the surface of rods and the mother substrate, and
this oxide layer will be used as a mask for later selectively epitaxial film growth; the oxide layer
is selectively removed on the rod head, exposing the inner silicon core to form protruded seed;
subsequently, selectively epitaxial growth is performed using the exposed silicon cores as seeds in
a chemical vapor deposition system; As the growth evolved, the seeds grow larger and merge into a
continuous film leaving uniformly structured hollows between the mother substrate and the grown
film. The formation of the structured hollows is the most important goal of our prototype, which, on
one hand, makes the grown film in weak mechanical connection with the mother substrate only by
the rods, thus will facilitate to mechanically lift off the grown film; on the other hand, can provide a
passage-way for gases, liquids to run into under the grown film, allowing to perform such processing FIG. 1. Schematic strategy of the prototype. a) Cz-Si wafer, i.e., the mother substrate. b) Photo-resist patterning the mother
substrate by traditional photolithography. c) Fabrication of rod array by ICP dry etch. d) Preparation of oxide layer by thermal
oxidization. e) Selective removal of oxide layer on the rod heads, forming patterned protruded seeds. f) Selective epitaxial
growth of silicon film on the seeds. FIG. 1. Schematic strategy of the prototype. a) Cz-Si wafer, i.e., the mother substrate. b) Photo-resist patterning the mother
substrate by traditional photolithography. c) Fabrication of rod array by ICP dry etch. d) Preparation of oxide layer by thermal
oxidization. e) Selective removal of oxide layer on the rod heads, forming patterned protruded seeds. f) Selective epitaxial
growth of silicon film on the seeds. 055307-3
Zeng et al. AIP Advances 7, 055307 (2017) as etching and coating under the film. Furthermore, another goal of our prototype is that the uniformly
distributed rods can give a stable mechanical support when devices are processed while the film still
stands on the mother substrate, especially when the film is ultrathin. B. Fabrication of protruded seed patterns Specifically, the fabrication of protruded seeds took the following procedure: i) kept the substrate
with patterned rods at 1000◦C under pure oxygen atmosphere, and got 300-500nm thick oxide layer
on the rods and the substrate; ii) immersed the substrate into a wax liquid in an oven at 60◦C, and kept
it there for 10min to let air come off from the space between the rods, so got the rod array completely
filled with liquid wax; iii) took the substrate out of the wax liquid and positioned it in the oven by the
incline of 60 degree for at least 30min, thus let the surplus wax automatically run away from the top
of the rod array; iv) flattened the filled wax liquid between rods by horizontally placement in the oven
for 1 hour; v) shut down the oven and the substrate cooled down to room temperature, and the filled
wax liquid became solid; vi) got rid of the wax thin layer on the rod heads by acetone bath for 5min;
vii) selectively removed the oxide layer on the rod heads by BOE solution etching for 4min under
the masking of the filled wax solid; viii) completely removed the filled wax solid by the dissolution
of tetrahydrofuran. D. Morphology characterization The morphologies of the samples were characterized by the scanning electronic microscope
(Hitachi S-3400N) and the optical microscope (OM, Keyence, VK-9710). C. Epitaxial growth of silicon films When the substrate with patterned protruded seeds was ready, the epitaxial growth of silicon
film was performed at 1050◦C under atmosphere pressure in a chemical vapor deposition system
with cold walls. SiHCl3 gas (Arkonic Gases & Chemicals Inc., 99.999%) was used as the silicon
source material with H2 (Airgas, 99.9999%) as the carrier gas. The HCl gas (APK gas, 99.999%.) FIG. 2. Schematic of selective removal of the oxide layer on the rod head to form patterned protruded seed. a) Immerse the
substrate into a molten wax liquid. b) Take out the substrate and run away the surplus liquid by inclined placement. c) Flatten
the liquid among the rods by upright placement. d) Cool down the filled wax liquid, and it becomes solid and contracted, thus
showing up the rod heads for selective removal of the oxide layer by wet etch. FIG. 2. Schematic of selective removal of the oxide layer on the rod head to form patterned protruded seed. a) Immerse the
substrate into a molten wax liquid. b) Take out the substrate and run away the surplus liquid by inclined placement. c) Flatten
the liquid among the rods by upright placement. d) Cool down the filled wax liquid, and it becomes solid and contracted, thus
showing up the rod heads for selective removal of the oxide layer by wet etch. 055307-4
Zeng et al. AIP Advances 7, 055307 (2017) AIP Advances 7, 055307 (2017) was used to inhibit silicon nucleation on the SiO2 mask layer, i.e., to enhance the selective growth
on the seeds.21 After the seeds grew up and merged into a continuous film, the HCl gas was shut off,
and the growth of film went on till the desired thickness was obtained. The typical growth duration
was 20min. III. RESULTS AND DISCUSSION Figure 3 shows the optical-microscopic morphologic images of the substrates when the space
between the rods was filled by wax solid. The duration of inclined placement when the wax was still
liquid is different, 30min, 1hour, 5 days, and 20 days, respectively for Figure 3(a) to Figure 3 (d). Obviously, in all the four cases, when the wax liquid was cooled, it didn’t bring a flat solid surface
between the rods, and there were also some random pits in the filled surface, but there was always solid
wax sticky around the rods; and the rods shot out of the solid wax, meanwhile, the amount of solid
wax held between the rods decreased with the duration of inclined placement. Additionally, the filled
amount of wax didn’t show much difference when the inclined placement duration was 30min and
1hour, same when 5 days and 20 days. It is not hard to understand that because of the blocking effect
of the rods, viscous wax liquid will run very slowly across the rods, thus the difference was hardly
discernible between Figure 3 (a) and Figure 3 (b); at the same time, because of the adhesiveness of
the wax liquid, no more wax liquid can run away from around the rods when the duration of inclined
placement is more than days, so the filling appeared fairly same in Figure 3 (c) and Figure 3 (d). As
for the unevenness and pits of the filled wax solid, we thought the reason was that the used wax was
an alkane mixture with short carbon chains, these alkane molecules didn’t tightly tangle and bind FIG. 3. Optical-microscopic images of the substrates with the space between the rods filled by wax solid with different
duration of inclined placement when the wax was still liquid. (a) 30min; (b) 1 hour; (c) 5 days; (d) 20 days. FIG. 3. Optical-microscopic images of the substrates with the space between the rods filled by wax solid with differe
duration of inclined placement when the wax was still liquid. (a) 30min; (b) 1 hour; (c) 5 days; (d) 20 days. 055307-5
Zeng et al. AIP Advances 7, 055307 (2017) AIP Advances 7, 055307 (2017) AIP Advances 7, 055307 (2017) each other like polymer molecules, and they preferred to agglomerate around the rods when the wax
liquid cooled down, then the pits turned up if some spots without enough liquid. III. RESULTS AND DISCUSSION And we also found
that the bulky film of wax on a glass slide showed a rugged surface. The obtained protruded seeds are displayed in Figure 4. Across the whole 4′′ wafer substrate,
the seeds are patterned with a uniform size exhibiting the excellence of wax as the filled mask for
fabrication of wafer-sized protruded seeds. In particularly, the exposed silicon core has same length
for each rod, this indicates that the oxide layer was just selectively removed on the rod head and
controlled by its part out of the wax solid. When KOH solution was used to etch the exposed silicon
head, it was found inverted pyramidal pits on each rod head, indicating the oxide layer was completely
removed on the rod head (shown in Figure 4f). Evidently, although the filled wax solid didn’t show
a flat surface and was distributed many random pits, these phenomena didn’t prevent the wax from
functioning as a good selective wet-etch mask for the rods. In consideration of the hydrophobic
properties of solid wax surface, we thought that when the etchant solution ran past and covered the
substrate, the air in the pits was trapped and also worked as a mask for the substrate below it; and the
etching just happened to the outer part of the rod on the wax solid; moreover, the length of the outer
part of the rod was inherently depended on the viscosity of the wax liquid, this was same to each rod
on a single substrate, therefore, the length of exposed silicon core for each rod was same. According to our experiments, there are some virtues for wax used as a filled mask: i) Owing
to the fluidity of molten wax liquid, its filling is uniform no matter what size of the substrate is. ii) Due to the fluidity, the surplus wax liquid is easy to dislodge by adequately inclined placement,
keeping the filling right happen in the empties between the rods, and the uniformity of the liquid
filling is recoverable by horizontal placement of the substrate. iii) The solid of wax is soft at room
temperature, and the softness will relieve the stress of phase transition from liquid to solid, thus
keep the wax sticky to the rods when the wax liquid becomes solid, and make the filled wax be a
good etch resist for the rods. III. RESULTS AND DISCUSSION AIP Advances 7, 055307 (2017) AIP Advances 7, 055307 (2017) FIG. 6. Images revealing the growth of silicon films using the prepared patterned protruded seeds. (a) Top view of the growing
seeds. (b) Side view of the growing seeds. (c) Top view of the just immerged neighboring seeds. (d) Cross sectional view of
the grown continuous film with the substrate. (e) Magnified cross sectional view of the grown film with the substrate. (f) Top
view of the grown film. FIG. 6. Images revealing the growth of silicon films using the prepared patterned protruded seeds. (a) Top view of the growing
seeds. (b) Side view of the growing seeds. (c) Top view of the just immerged neighboring seeds. (d) Cross sectional view of
the grown continuous film with the substrate. (e) Magnified cross sectional view of the grown film with the substrate. (f) Top
view of the grown film. had the same periodicity as the original rod pattern. At the same time, no particles were observed
on the surfaces of rods and the mother substrate (Figure 6b and Figure 6e), indicating that there was
no growth started on the oxide mask layer. Since the nucleation and growth rate is much faster on
silicon surface than on SiO2 surface under SiHCl3+HCl+H2 reactants system, if nuclei existed on
the oxide layer, they would grow into big observable particles dotted the rods and substrate.22 On the
other hand, the cleanness of the rods and substrate also manifested that the trapping effect of the rod
jungle for reactant species didn’t significantly improve the hetero nucleation on the oxide layer. The
original empties between the rods was preserved intact, leaving channels for further investigation in
future on the lift-off of the grown films, reuse of the seeds, and surface engineering on both sides
of the grown films when still on the mother substrate. The observed preferred growth of silicon on
the protruded seeds, the obtained voidless film from discretely distributed seeds, and the as-formed
structured hollows between rods verified our prototype with the potential to fabricate of transferrable
films/wafers by reusable substrates. The crystal quality of the grown films have been characterized by X-ray diffraction (XRD)
spectra, as shown in Figure 7, indicating that the grown film from the patterned protruded seeds FIG. 7. III. RESULTS AND DISCUSSION iv) There is no course of solvent evaporating and solution condens-
ing, which keeps the filled solid tightly seamed with the rods (when using the photo-resist as the
filling matter, there were gaps between the rod and filled photo-resist, shown in the supplementary
documents). Figure 5 presents the manipulation of the length of the seeds by wet etch time. In order to
completely remove the oxide layer on the outer part of the rod on the wax solid, the wet-etching
was often performed for 4min (Figure 5a). As the etching time was extended, the etching would
go down along the rods through the wax solid, then showing longer seeds (Figure 5b and 5c). The
controllability of seed length further proved the superior masking effect of the filled wax. FIG. 4. Images of the protruded seeds. (a) Photo-picture of a 4′′ Cz-Si wafer all covered with protruded seeds. (b) Scanning
electronic microscopy (SEM) image of the patterned protruded seeds in a large area. (c) Zoomed-in SEM image on several
seeds. (d) Magnified SEM image on a single seed. (e) Magnified SEM image on a broken seed. (f) SEM image of seeds etched
by KOH solution. FIG. 4. Images of the protruded seeds. (a) Photo-picture of a 4′′ Cz-Si wafer all covered with protruded seeds. (b) Scanning
electronic microscopy (SEM) image of the patterned protruded seeds in a large area. (c) Zoomed-in SEM image on several
seeds. (d) Magnified SEM image on a single seed. (e) Magnified SEM image on a broken seed. (f) SEM image of seeds etched
by KOH solution. 055307-6
Zeng et al. AIP Advances 7, 055307 (2017) 5. SEM images of the protruded seeds with controlled length by different wet-etching time in BOE solution. (a) 4min. min. (c) 20min. FIG. 5. SEM images of the protruded seeds with controlled length by different wet-etching time in BOE solution. (a) 4mi
(b) 8min. (c) 20min. The selectively epitaxial growth of silicon film was shown in Figure 6. At the first stage, the
seeds were grown into polyhedral crystal particles, showing the nature of crystallographic anisotropic
growth. As the growth evolved, the seeds grew larger and the neighboring seeds were merged
(Figure 6c), and eventually became an integral film without any apertures (Figure 6d, Figure 6e, and
Figure 6f), but there were square-like lightly texturized surface structures on the grown film which 055307-7
Zeng et al. SUPPLEMENTARY MATERIAL See supplementary material for experiments about acetone soaking to get rid of wax thin laye
on the rod head, photo-resist used as a filling matter between rods by spin-coating. IV. CONCLUSION In summary, we demonstrated the prototype using discrete protruded seeds to grow voidless
and continuous silicon film, and the method using wax as the filled mask to selectively remove
the oxide layer on the heads of the patterned rods has been developed for fabrication of protruded
seeds. The method of fabricating filled mask for patterned rod array using liquid wax is greatly
applicable to wafer-sized preparation of protruded seeds now that the fluidity of the wax liquid
can facilitate uniformly filling all over any sized area. Moreover, the length of seeds along the
rods was controllable by wet-etching time. The selective epitaxial growth of silicon films was
performed on the ready patterned protruded seeds, and voidless films were obtained while the
original empties between the rods were intact. It has to be pointed out that the primary target of
our prototype is to build uniformly structured hollows between the grown film and the mother
substrate to realize the functions such as transferability of the grown film, accessibility of gases
or solutions to the below surface of the film when it still staying on the mother substrate, and
reusability of the seeds. According to the experiment results, the structured hollows were read-
ily obtained by our prototype. Although much effort should be further paid to the investigation
on lifting off the grown film and reuse of the seeds, and even the prototype should be further
upgraded, the principle from our prototype did offer a potential solution to kerfless wafers and flexible
crystals. III. RESULTS AND DISCUSSION XRD spectra of the grown film from the patterned protruded seeds, of the epitaxial film directly on the Si (100)
substrate, and of the Si (100) substrate. FIG. 7. XRD spectra of the grown film from the patterned protruded seeds, of the epitaxial film directly on the Si (10
substrate, and of the Si (100) substrate. 055307-8
Zeng et al. AIP Advances 7, 055307 (2017) AIP Advances 7, 055307 (2017) has the almost same crystalline quality as the epitaxial one directly on the Si(100) substrate and
the substrate itself. This confirmed the fact that complete and continuous film with the same
crystal quality as the mother substrate could be grown from the discretely distributed protruded
seeds. ACKNOWLEDGMENTS This work was supported by the Natural Science Foundation of China under contract No
11374313 and 11504392. 1 H. Wu, Precision Eng. 43, 1 (2016). 2 ,
g
,
(
)
2 M. Hecini, N. Drouiche, and O. Bouchelaghem, J. Cryst. Growth 453, 143 (2016). 2 M. Hecini, N. Drouiche, and O. Bouchelaghem, J. Cryst. Growth 453, 143 (2016). 3 3 H. J. Moller, Adv. Eng. Mater. 6(7), 501 (2004). 4 4 A. Goodrich, P. Hacke, Q. Wang, B. Sopori, R. Margolis, T. L. James, and M. Woodhouse, Solar Energ. Mater. & Solar
Cells 114, 110 (2013). 4 A. Goodrich, P. Hacke, Q. Wang, B. Sopori, R. Margolis, T. L. James, and M. Woodhouse, Solar Energ. Mater. & Sol
Cells 114, 110 (2013). 5 X. G. Yu, P. Wang, X. Q. Li, and D. R. Yang, Solar Energ. Mater. & Solar Cells 98, 337 (2012). 6 5 X. G. Yu, P. Wang, X. Q. Li, and D. R. Yang, Solar Energ. Mater. & Solar Cells 98, 337 (2012). 6 J. H. Peterman, D. Zielke, J. Schmidt, F. Haasw, E. G. Rojas, and R. Brendel, Prog. Photovolt.: Res. Appl. 20, 1 (2012). 6 J. H. Peterman, D. Zielke, J. Schmidt, F. Haasw, E. G. Rojas, and R. Brendel, Prog. Photovolt.: Re
7 7 C. Berge, M. Zhu, W. Brendle, M. B. Schubert, and J. H. Werner, Solar Energ. Mater. & Solar Cells 90, 3102 (2006). 8 D. M. Powell, V. P. Markevich, J. Hofstetter, M. A. Jensen, A. E. Morishige, S. Castellanos, B. Lai, A. R. Peaker, and
T. Buonassisi, J. Appl. Phys. 119, 065101 (2016). 9 M. M. Moslehi, P. Kapur, J. Kramer, V. Rana, S. Seutter, A. Deshpande, T. Stalcup, S. Kommera, J. Ashjaee, A. Calcaterra,
D. Grupp, D. Dutton, and R. Brown, “World record 20.6% efficiency 156mm×156mm full- square solar cells using low-cost
kerfless ultrathin epitaxial silicon and porous silicon lift-off technology for industry leading high-performance smart PV
modules,” PV Asia Pacific Conference (APVIA/PVAP), 24 October, 2012. 9 M. M. Moslehi, P. Kapur, J. Kramer, V. Rana, S. Seutter, A. Deshpande, T. Stalcup, S. Kommera, J. Ashjaee, A. Calcaterra,
D. Grupp, D. Dutton, and R. Brown, “World record 20.6% efficiency 156mm×156mm full- square solar cells using low-cost
kerfless ultrathin epitaxial silicon and porous silicon lift-off technology for industry leading high-performance smart PV
modules,” PV Asia Pacific Conference (APVIA/PVAP), 24 October, 2012. 10 11 E. Kobayashi, Y. Watabe, R. 19 V. Steckenreiter, J. Hensen, A. Knorr, S. Kajari-Schroder, and R. Brendel, IEEE J. Photovolt. 6(3), 783 (2016). g
g
(
18 D. Y. Khang, H. Q. Jiang, Y. Huang, and J. A. Rogers, Science 311, 208 (2006). 20 A. Jakokafarassar, K. Wan Nieuwenhuysen, I. Sharlandziev, V. Depauw, H. S. Radhakrishnan, T. Bearda, M. Debucquoy,
I. Gordon, J. Szlufcik, Y. Abdulraheem, J. Poormans, and L. Magagnin, “Multiple reuse of the silicon substrate in a porous
silicon based layer transfer process,” 32nd European Photovoltaic Solar Energy Conference and Exhibition. Proceedings,
2016, 313. ACKNOWLEDGMENTS Y. Hao, and T. S. Ravi, Appl. Phys. Lett. 106, 223504 (2015). 12 yashi, Y. Watabe, R. Y. Hao, and T. S. Ravi, Appl. Phys. Lett. 1 1 E. Kobayashi, Y. Watabe, R. Y. Hao, and T. S. Ravi, Appl. Ph 12 T. Yonehara, “ELTRAN®(SOI-Epi waferTM) technology,” Chapter 4, pp 53, INSPEC, IEE, (2002). 13 13 http://www.ims-chips.de/home.php?id=a3b8clen&adm=. 14 http://besang.com/. 15 http://www.monolithic3d.com. 16 R. J. Knuesel and H. O. Jacobs, Adv. Mater. 23, 2727 (2011). 17 18 D. Y. Khang, H. Q. Jiang, Y. Huang, and J. A. Rogers, Science 311, 208 (2006). 19 21 D. F. Liu, W. Zhang, X. Y. Chen, H. Yang, C. Wang, and L. F. Lu, U.S. patent 9,502,240 B2 (22 November, 2016); Chin
Patent ZL 2013 1 0167373.3 (28 December, 2016).
22 22 L. Jastrzebski, J. Crystal Growth 63, 493 (1983). 055307-9
Zeng et al. AIP Advances 7, 055307 (2017) AIP Advances 7, 055307 (2017) 22 L. Jastrzebski, J. Crystal Growth 63, 493 (1983).
|
https://openalex.org/W2143372889
|
https://zenodo.org/records/2472500/files/article.pdf
|
English
| null |
Note on the falls of the Tsang-po
|
Scottish geographical magazine
| 1,914
|
public-domain
| 1,839
|
Scottish Geographical Magazine To cite this article: Captain F.M. Bailey (1914) Note on the falls of the Tsang-po, Scottish
Geographical Magazine, 30:2, 90-92, DOI: 10.1080/14702541408555159 o cite this article: Captain F.M. Bailey (1914) Note on the falls of the Tsang-po
Geographical Magazine, 30:2, 90-92, DOI: 10.1080/14702541408555159 To link to this article: http://dx.doi.org/10.1080/14702541408555159 PLEASE SCROLL DOWN FOR ARTICLE Taylor & Francis makes every effort to ensure the accuracy of all the
information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no
representations or warranties whatsoever as to the accuracy, completeness, or
suitability for any purpose of the Content. Any opinions and views expressed
in this publication are the opinions and views of the authors, and are not the
views of or endorsed by Taylor & Francis. The accuracy of the Content should
not be relied upon and should be independently verified with primary sources
of information. Taylor and Francis shall not be liable for any losses, actions,
claims, proceedings, demands, costs, expenses, damages, and other liabilities
whatsoever or howsoever caused arising directly or indirectly in connection
with, in relation to or arising out of the use of the Content. This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-
licensing, systematic supply, or distribution in any form to anyone is expressly
forbidden. Terms & Conditions of access and use can be found at http://
www.tandfonline.com/page/terms-and-conditions 90 SCOTTISH GEOGRAPHICAL MAGAZINE. days they met only some strips of ice, the southern points of which
they rounded. On September 5 Bennett Island was reached, when on
the 1'aimir the coil of the condenser broke, and the water in the
boilers became salt. The wind blew heavily from the south, and obliged the vessels to
stop on the north shores of Bennett Island. A party was landed and
took Baron Toll's collections, and a cross was erected on Cape Emmelina
to the memory of Baron Toll and his companions. y
p
On September 19 the wind became lighter, and the expedition
surveyed the island and started to the south. At first it was proposed
to take the great circle route to Wrangell Island, but the heavy ice met
with on the way obliged the vessels to go by zigzags about three hundred
miles along the meridian of 160 ° . Sometimes the ships met new ice,
and it was very difficult to choose the route during the darkness of the
nights. g
On September 12 the expedition came to open water and im-
mediately trawled for zoological purposes. 1 The accompanying sketch-map llas been constructed from the best available sources to
show the supposed position of the falls~ prior to Captain Bailey's journey.
It has not been
found possible to include all the places mentioned in the text~ and the map does not cover
tile whole of the area visite,l.--ED, ,% G. M. PLEASE SCROLL DOWN FOR ARTICLE y
g
p
p
The next day the expedition met ice up to the meridian of
Tchaunski Bay, but the water was open from 70 ° N. in 180 ° longitude. On September 16 the ships reached Kolutehinski Bay and surveyed it. The ships started on September 20, but a heavy gale compelled them to
anchor ; the route was then continued to Cape Dejnef ; on the 22nd it
was passed, and forty miles from the Bay of Providence a heavy storm
caught the ships, which rolled about 55 ° , and the speed against the
wind was not more than half a knot. In the night the tiller-rope broke
on the Taimir, and only on the next evening the ships were able to
approach the shores of the island of St. Lawrence, where they stopped. pp
y
pp
On September 26 the expedition was at St. Michael's Fort, and on
October 14 at Petropavlovsk in Kamtchatka, from which point the
above news was sent by wireless. By Captain F. M. BAILEY, WE followed the Tsang-po valley from Rinchenpung up to the village of
Lagong, but no altitude in the river-bed was obtained higher up-stream
than the confluence of the Chimdro Chu with the Tsang-po, a point
some forty miles by road below Lagong; the altitude of the river by
hypsometer at this point was 3070 feet. At Lagong we left the Tsang-
po, and, crossing a pass, the Su La, entered the valley of the Nagong Chu,
here called the Po Chu. This river was followed from Showa down to
Trulung (Kinthup's "Poh-toi-]ung "). The altitude of the river at NOTE ON THE FALLS OF THE TSANG-PO. 91 Trulung was 6600 f~c~ by hypsumctcr. We wished to followthis river
down to its junction with the Tsang-po at Gompo No, but were prevented,
as the rope bridge had been carried away; the height of the Tsang-po at
Gompc Ne must be about 6000 feet, or some 600 feet below Trulung. From Trulung we followed Kinthup's road as far as Kongbu Lunang,
from which place we took a more direct route to Phe (Phea) than that
followed by Kinthup. We then went down to Gyala, opposite which
is a waterfall on a small tributary, in which a god, Sinji Chogye, is
carved on the rock behind the cascade. The god is only visible in SKETCH MAP
SHOWING WHERE FALLS
WERE SUPPOSED TO EXIST
Enjtll~h Mile#
D " " ~
6
,'5
,,~
non#
2 Ton~-juk-Jonj~
co
Trul~n~g
Calls were
t to ~xlst
one
#
/
/
8inchenpunj? fl
t
/
/
~,,~
/f
I I
rll
winter when the stream is small. From Gyala we went down to Pemako
Chung, a small lamasery which was visited by Kinthup. Near this are
the falls which he described. The river nearly the whole way from
Gyala to this point is a foaming rapid, though in one or two places it
flows quietly. At Kinthup's falls the rapid develops into a fall of about
30 feet; here rainbows were seen. We succeeded in pushing about
twelve miles below Pemako Chung. Our lowest hypsometer observation,
taken about two miles above the lowest point mapped, gave an altitude
of 7200 feet. The gap in the river which is unmapped we estimate at
forty-five miles, i.e. from the lowest point reached below Pemako Chung
to Lagong. By Captain F. M. BAILEY, The gap between the two boiling point observations (below
Pemako Chung, and at the confluence of the Chimdro Chu and the SKETCH MAP
SHOWING WHERE FALLS
WERE SUPPOSED TO EXIST
Enjtll~h Mile#
D " " ~
6
,'5
,,~
non#
2 Ton~-juk-Jonj~
co
Trul~n~g
Calls were
t to ~xlst
one
#
/
/
8inchenpunj? fl
t
/
/
~,,~
/f
I I
rll SKETCH MAP
SHOWING WHERE FALLS
WERE SUPPOSED TO EXIST
Enjtll~h Mile#
D " " ~
6
,'5
,,~
non#
2 Ton~-juk-Jonj~
co
Trul~n~g
Calls were
t to ~xlst
one
#
/
/
8inchenpunj? fl
t
/
/
~,,~
/f
I I
rll winter when the stream is small. From Gyala we went down to Pemako
Chung, a small lamasery which was visited by Kinthup. Near this are
the falls which he described. The river nearly the whole way from
Gyala to this point is a foaming rapid, though in one or two places it
flows quietly. At Kinthup's falls the rapid develops into a fall of about
30 feet; here rainbows were seen. We succeeded in pushing about
twelve miles below Pemako Chung. Our lowest hypsometer observation,
taken about two miles above the lowest point mapped, gave an altitude
of 7200 feet. The gap in the river which is unmapped we estimate at
forty-five miles, i.e. from the lowest point reached below Pemako Chung
to Lagong. The gap between the two boiling point observations (below
Pemako Chung, and at the confluence of the Chimdro Chu and the SCOTTISH GEOGRAPHICAL MAGAZINE. 9~ Tsang-po) is, however, about ninety miles. In the forty-five miles that
are unmapped we have the estimated height of 6000 feet of the Pc Chu-
Tsang-po confluence at Gompo Ne, which cannot be much in excess. The road down from Gompo Ne to Lagong is used a great deal in winter,
as when the Su La is closed by snow, it is the only road from the Po Chu
valley to the lower Tsang-po valley. We met a great many people who
had seen this part of the river, all of whom agreed that there was nothing
in the way of falls on it, though at the confluence of the rivers at Gompo
Ne there are remarkable rapids and whirlpools. By Captain F. M. BAILEY, As regards the portion
between Pemako Chung and Gompo Ne it was more difficult to collect
information, as there is no road, but the distance can only be about
fifteen miles, and we met people who had hunted in the jungles in the
neighbourhood who all said that there was no big waterfall on that
section of fhe river, though the rapids must be extraordinarily steep. ownloaded by [University of Cambridge] at 09:50 03 January 2015 g
p
The heights mentioned are liable to revision. A NEW ANTARCTIC EXPEDITION. (]l~th McqQ IT was amlounced in the daily press at the end of December last that
Sir Ernest Shackleton, who has been desirous for some time of returning
to the Polar Regions, has been able, through the generosity of a friend,
to arrange an expedition with the object of crossing the Antarctic
Continent from the Weddell Sea to the Ross Sea. The plans of the
expedition, as detailed below, should be compared with those already
drawn up by Dr. W. S. Bruce (cf. this Ma(/a':'i~e, xxiv. p. 200, and
xxvi. p. 192), and the accompanying map, reproduced by perinission
from the Tiv~es, with that in vol. xxvi. p. 193, which shows Dr. Bruce's
proposed route. It is understood that the estimated minimum cost of
the expedition, ~50,000, has been already provided for, but £60,000
or £70,000 would be required to equip it with
full
efficiency. The Royal Geographical Society of London has subscribed £1000 to
the funds. Sir Ernest Shackleton has supplied us with the following official
programme of the expedition :-- "THE hIPERIAL TRANs-ANTARCTIC Ex~,~Drrlo~,. " O/,]cc[~" of the E.,2Jeditiot~.--To cross the South Polar Continent from
sea to sea--from the Weddell Sea to the Ross Sea. The crossing of
the South Polar Continent will be the biggest Polar journey ever yet
attempted. It is a longer journey than to the Pole and back, and the
first 800 miles will be on quite a new route, and with good fortune it
is probable that the whole journey may be on entirely new ground. The minimum distance from sea to sea is about 1500 geographical
miles--that is roughly 1700 statute miles. "From a geographical point of view the complete continental nature c~
o~
r~
r~
q~
o~
rJ2 c~
o~
r~
r~
q~
o~
rJ2 Downloaded by [University of Cambridge] at 09:50 03 January 2015 c~
o~
r~
r~
q~
o~
rJ2
|
https://openalex.org/W2234292234
|
https://nottingham-repository.worktribe.com/file/772539/1/Atkins%20S%20et%20al%20Simulated%20consultations%20-%20a%20sociolinguistic%20perspective.pdf
|
English
| null |
Simulated consultations: a sociolinguistic perspective
|
BMC medical education
| 2,016
|
cc-by
| 9,437
|
* Correspondence: Sarah.Atkins@nottingham.ac.uk
1Centre for Research in Applied Linguistics, Trent Building, University of
Nottingham, Nottingham NG7 2RD, UK
Full list of author information is available at the end of the article Sarah Atkins1*, Celia Roberts2, Kamila Hawthorne3 and Trisha Greenhalgh4 Sarah Atkins1*, Celia Roberts2, Kamila Hawthorne3 and Trisha Greenhalgh4 © 2016 Atkins et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Atkins et al. BMC Medical Education (2016) 16:16
DOI 10.1186/s12909-016-0535-2 Atkins et al. BMC Medical Education (2016) 16:16
DOI 10.1186/s12909-016-0535-2 Open Access Abstract Background: Assessment of consulting skills using simulated patients is widespread in medical education. Most
research into such assessment is sited in a statistical paradigm that focuses on psychometric properties or
replicability of such tests. Equally important, but less researched, is the question of how far consultations with
simulated patients reflect real clinical encounters – for which sociolinguistics, defined as the study of language in its
socio-cultural context, provides a helpful analytic lens. Discussion: In this debate article, we draw on a detailed empirical study of assessed role-plays, involving
sociolinguistic analysis of talk in OSCE interactions. We consider critically the evidence for the simulated
consultation (a) as a proxy for the real; (b) as performance; (c) as a context for assessing talk; and (d) as potentially
disadvantaging candidates trained overseas. Talk is always a performance in context, especially in professional
situations (such as the consultation) and institutional ones (the assessment of professional skills and competence). Candidates who can handle the social and linguistic complexities of the artificial context of assessed role-plays
score highly – yet what is being assessed is not real professional communication, but the ability to voice a credible
appearance of such communication. Summary: Fidelity may not be the primary objective of simulation for medical training, where it enables the
practising of skills. However the linguistic problems and differences that arise from interacting in artificial settings
are of considerable importance in assessment, where we must be sure that the exam construct adequately
embodies the skills expected for real-life practice. The reproducibility of assessed simulations should not be
confused with their validity. Sociolinguistic analysis of simulations in various professional contexts has identified
evidence for the gap between real interactions and assessed role-plays. The contextual conditions of the simulated
consultation both expect and reward a particular interactional style. Whilst simulation undoubtedly has a place in
formative learning for professional communication, the simulated consultation may distort assessment of
professional communication These sociolinguistic findings contribute to the on-going critique of simulations in
high-stakes assessments and indicate that further research, which steps outside psychometric approaches, is
necessary. Keywords: Simulated consultations, OSCE, Communication skills, Interpersonal skills, Assessment, Diversity,
Sociolinguistics © 2016 Atkins et al. * Correspondence: Sarah.Atkins@nottingham.ac.uk
1Centre for Research in Applied Linguistics, Trent Building, University of
Nottingham, Nottingham NG7 2RD, UK
Full list of author information is available at the end of the article
© 2016 Atkins et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Background However, given that such exams can
demonstrate significant differences in pass rates between
demographic groups, such as, the Membership of the Royal
College of Physicians ‘Practical Assessment of Clinical
Examination Skills’ (PACES) exams and Membership of the
Royal College of General Practitioners’ Clinical Skills
Assessment (CSA) [9–11], the construct validity of simula-
tions is an important research question. Recreating a lin-
guistically authentic medical interaction may not be the
primary objective of simulation when used for medical
training, where it enables practice and focussing in on par-
ticular skills, particularly technical skills. Recent research
evidence has also shown the important uses of simulation
in communication skills training for medical teams, not
least because of the facility it provides practitioners to rec-
ord and reflect on how an interaction has unfolded [12]. However, the linguistic differences and difficulties of simu-
lation are of considerable importance in assessment. In
many high-stakes summative exams, the simulated consult-
ation is not used to enable the medical practitioner to re-
flect on and develop their own communication skills, but
rather for an external party to measure a candidate’s com-
petence and assign a grade. When using the simulated con-
sultation for assessment, particularly where interpersonal
and communication skills are being marked, we must be
sure that the exam construct and the linguistic require-
ments placed on candidates adequately embody the skills
expected for real-life practice. Sociolinguistic analysis can unpick the subtly different
interactional discrepancies that a simulation produces. It looks at direct evidence from the interactions pro-
duced in situ, rather than relying on asking participants
to reflect back on an interaction. Sociolinguistics often
employs techniques of ‘discourse analysis’ to identify
important features and fine-grained characteristics of
talk, such as grammatical structure, turn-taking be-
tween speakers, intonation and the integration of non-
verbal communication [22]. These can systematically
evidence the characteristic linguistic features that occur
in a particular setting - and how the talk is created by,
as well as constitutive of, the social relationships in that
context. Sociolinguistics is therefore interested in the
choices that speakers make when they use language and
what those choices and variations might mean for the
evaluation of speakers (page 16) [23]. The authenticity of the interaction is particularly per-
tinent when assessing communication skills. The clinical
consultation is not a technical procedure, but an emo-
tionally charged interpersonal interaction of high social
significance and linguistic complexity [13]. Background language and society inter-relate. It looks at how people
use language in their everyday lives and how language-
in-context creates the complex social world. The tools of
sociolinguistic research are real recordings of spoken
language, to examine evidence of how different contexts
and social backgrounds affect the talk we produce and
how it is evaluated by others. This focus on evidence
from actual interactions is an important one here. Prior
research on simulated consultations has largely addressed
psychometric properties of particular tests and scenarios
such as internal consistency (e.g. using Cronbach’s alpha),
generalisability, inter-rater reliability, predictability (e.g. of
subsequent examination success), discriminatory power
(ability to distinguish consistently between ‘good’ and
‘poor’ examinees), as well as protocols and procedures for
quality control [3, 14–18]. A crucial question remains as
to how far such scenarios reflect real consulting abilities. Both simulated patients and those being assessed, when
asked after the event, tend to rate their experience as ‘real-
istic’ [19, 20]. Various studies have also found that un-
announced simulated patients, trained to present with a
particular scenario in a kind of ‘mystery shopper’ ap-
proach, went undetected by medical practitioners [6, 21]. Yet there remain crucial differences between real and sim-
ulated consultations, particularly as they are used in as-
sessment, that cannot easily be evidenced by the mystery
shopper method or participants’ retrospective accounts. This paper addresses issues arising from the use of simu-
lated patients in assessments of clinical consulting, in
particular the linguistic difficulties of interacting in such
settings and how far they reflect a practitioner’s real con-
sulting abilities. Simulated patients are lay people or pro-
fessional actors trained to portray a patient with a
particular condition in a standardised way. As well as
their use in practice and training for medical practi-
tioners, they play an important role in formal assess-
ment,
such
as
the
objective
structured
clinical
examination (OSCE) for undergraduates [1, 2] and licen-
sure examinations for postgraduates [3–5]. One advan-
tage of this assessment format is that it helps ensure
everyone has a standardised, equitable and repeatable
experience [6–8]. Abstract Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Atkins et al. BMC Medical Education (2016) 16:16 Page 2 of 9 Atkins et al. BMC Medical Education (2016) 16:16 Page 2 of 9 Background When con-
sidering the appropriateness of simulation in assessing
this complexity, we need a different kind of research -
sited in a humanistic rather than psychometric para-
digm. Sociolinguistic research provides a useful means
of interrogating and debating these issues. Sociolinguis-
tics is a field which systematically studies the way Integrated with this theoretical approach in sociolinguis-
tics, is a fundamental interest in how language produces
power relations in society. Professional discourses in par-
ticular, which largely consist of goal-oriented encounters,
often demonstrate a degree of power-imbalance [24]. We
can evidence these power relationships in the ‘microphys-
ics’ and fine-grained detail of our everyday practices [25],
including our professional talk. There are asymmetrical
relationships in terms of who is expected to speak at cer-
tain points, who should show politeness and which Atkins et al. BMC Medical Education (2016) 16:16 Page 3 of 9 Page 3 of 9 speakers are meant to demonstrate their domain-specific,
professional knowledge [26]. Power relations in the setting
of an exam role-play differ from real-life clinical encoun-
ter, since the role-player has a very different position to
that of a patient and there is also a more powerful third
participant in the examiner, observing the interaction. Given the different relationships of participants, inter-
actional differences in simulated consultations compared
to real-life are perhaps to be expected. The environment
in assessed simulations is (intentionally) decontextualized
and scenarios involving invasive physical examinations [5]
and a range of patient groups such as those with multi-
morbidity, limited English or a very different communica-
tive style [27] are often (though not invariably) excluded. Yet candidates are asked to behave as if these scenarios
were real [28, 29]. degree of standardisation of any scenario (hence, its replic-
ability) and its reflection of the real (its authenticity), since
100 % standardisation would require the simulated patient
to reproduce a script robotically. In reality, while the sim-
ulated patient plays a character and helps depict a context-
ual hinterland in answer to candidates’ questions, he or
she must draw on their own interactional resources to
manage the interaction itself [28]. To understand how simulations are experienced differ-
ently from real consultations, we must ask, “what ‘main-
tenance work’ needs to be done by both parties to
maintain the semblance of reality?”. Background To do this, we draw
on the work of sociologist Erving Goffman, whose sem-
inal essay ‘Frame Analysis’ addressed the question,
“under what circumstances do we think things are real?”
[39]. Goffman argued that the sense of feeling an activity
is real depends upon our sense of self as we relate to
others. Each interaction creates and reinforces a shared
reality to keep the relationship going [40]. We attend to
others, become involved in the to and fro of talk, how-
ever momentarily, since we have what Goffman calls a
moral requirement to display ourselves in ways that
others expect of us. This
sociolinguistic
approach
to
language
and
professional communication was recently used in a 3-year
study of the Royal College of General Practitioners’
Clinical Skills Assessment (CSA) [27, 30], which we draw
upon in this paper. As well as this we draw on analytic
work around final-year undergraduate medical OSCEs by
Roberts et al. [31]. De La Croix and Skelton on under-
graduate OSCEs [32–34], Seale et al.’s linguistic study of
OSCE examinations [28], Niements on the use of role-
play in training [35], and O’Grady and Candlin on the
Royal Australian College of General Practitioners' licens-
ing exam [36]. Some linguistic evidence on the use of
simulation for assessing professional communication out-
side the medical field is also drawn upon, particularly Sto-
koe’s [37, 38] account of the linguistic patterns in
simulated police interviews. Evaluating this evidence col-
lectively helps us flesh out this debate paper with a fuller
picture of the complexities of using simulation. Although
simulated consultations and OSCE exams do vary in their
setup, some of the essential commonalities, like the semi-
scripted standardised part of role-players, the timed cases
and marking descriptors, render our sociolinguistic dis-
cussion relevant to this wide genre of assessment. The
paper addresses the following four themes, identified from
the literature review and our own research, in considering
the simulated consultation: (a) as a proxy for the real; (b)
as performance; (c) as a context for assessing talk and (d)
as potentially disadvantaging candidates trained overseas. p
His concept of ‘frame’ describes this socially defined
reality. In any given stage of an encounter, speakers and
listeners establish or negotiate what is going on: we are
in the frame of a passing conversation, a preliminary
chat about the weather before the consultation proper
begins, an examination and so on. Background The frame constitutes
what is happening and also works as a filtering process
through which general principles of conduct apply. For
example, when a doctor tells a patient that chances of
recovery are high, both sides can understand that they
are in a ‘reassurance’ frame within this shared moment
of reality. Different frames can be invoked, and indeed
evidenced, through changes in linguistic behaviour by
the participants. For example, in a case from our CSA
research [27], a simulated patient presents with menor-
rhagia. The candidate indicates that he wants to do a
"quick abdominal examination", in the frame of a rou-
tine element of the diagnosis. But when he responds to
the simulated patient’s query by saying “we look for any
abnormal
growth”,
the
simulated
patient
becomes
alarmed. The candidate then shifts the frame from infor-
mation giving to one of reassurance and self-correction. Discussion At any time in an encounter, Goffman argues (page
156–200) [39], we can experience multiple frames. For
example, in an OSCE-style exam, the frame of showing
empathy to a role-playing patient is nested in a frame of
displaying competence to an examiner, which in turn is
nested in the institutional frame of the overall assessment
process. For this reason, the values associated with em-
pathy are not seriously committed to or felt as real be-
cause they are anchored in a more fundamental frame, The simulated consultation as a proxy for the real
Social interaction cannot ultimately be standardised. While there are some relatively stable, overarching fea-
tures of a consultation, such as the phases to be per-
formed and the general history to be conveyed by the
patient, at the minute level of turn-by-turn talk stand-
ardisation becomes difficult and small differences in de-
livery are inevitable. There is a tension, then, between the Atkins et al. BMC Medical Education (2016) 16:16 Page 4 of 9 Page 4 of 9 related to simulated performance in the exam. While role-
player and trainee/candidate can put on a surface per-
formance that is realistic, the assessor must decide
whether the candidate is demonstrating ‘real caring’. This
makes any simulated consultation a hybrid activity in
which real qualities (subjectively experienced) are assessed
through the unreal, requiring a considerable amount of
interactional work to sustain the talk and illusion of a real
consultation [28]. roles and identities at play in simulations and these can
be evidenced in the communication. In answering the
question on ‘authenticity’, Seale et al. ultimately do sug-
gest that experience of participants in a role-play is fun-
damentally different from that of a real-life interaction
and that the candidate must do much more inter-
actional ‘work’ to keep the illusion up (page 181). Of course, real consultations also require some level of
performance, but to properly understand the differences
we must unpack what ‘acting’ and ‘performing’ mean in
these interactional situations. To do so, we can draw on
Goffman’s depiction of life as drama – i.e. we present our-
selves on the world as a stage, ‘performing’ in different
ways to different ‘audiences’ in different settings (everyday,
professional, institutional and so on) [43]. We perform all
the time in the everyday, managing impressions of our-
selves in what Goffman called ‘facework’ [44]. Discussion Goffman calls an activity that does not fit within the
frame of the moment a ‘frame-break’. For example,
candidates in simulated consultations often do not
know whether they are expected to carry out a physical
examination ‘for real’. They may commence a physical
examination frame, only to be interrupted by the
examiner either verbally or by handing them a card
with key physical findings. Candidates must then rap-
idly shift frame to the preliminaries of diagnosis. We
found such shifts were typically marked by disfluencies
and/or hesitations, even with highly successful candi-
dates, as the candidate worked to maintain the simu-
lated
case
and
ignore
any
interaction
with
the
examiner (page 53) [27]. To justify a simulated con-
sultation as a proxy for the real obscures its limitations
and complexities, many of which only become appar-
ent when analysing their interactional detail. It is in
this linguistic detail of simulations that we can really
identify the different communicative competences that
come to the fore in simulated consultations, which
may not be the competences required for real-life
practice. Goffman distinguished the banal and intimate per-
formances of the everyday that occur ‘backstage’ from
professional behaviour, which is largely ‘front-stage’
[43] – a term he used to refer to activities like the
waiter at table, the doctor in the surgery or the teacher
in class. Here there are constraints on behaviour in
terms of manner, quality of attention and emotions,
and the performance has an ‘audience’ that evaluate
the competence displayed [45, 46]. Importantly, under-
standing professional behaviour as a performance does
not undercut its values. For example, to care for a pa-
tient may involve masking frustration or fatigue in
order to care better. When institutions require this
professional behaviour to be monitored and assessed,
however, it becomes an institutional performance. Evaluation of professional performance becomes insti-
tutionalised as observers rate and record performance
and implement rewards and sanctions. There is a
heightened awareness of the need, on the part of the
professional, to perform expressively, a “heightened
mimicry” [28] and, on the part of the assessor, “a license
… to regard the act of expression and the performer
with special intensity” (page 11) [46]. However, it is im-
portant to make the distinction between a heightened
performance for institutional purposes (e.g. Discussion someone
pointedly looking in the mirror when taking a driving
test) and a simulated performance (someone pretending
to look in the mirror). The simulated consultation as performance p
One of the concerns voiced about OSCE examina-
tions is that they test acting skills as much as they do
professional communication [30, 41]. Niements de-
scribes how role-played interactions "cannot reproduce
the orientations of real interactions...[W]hat is authentic
to those users when they “live” a specific situation can-
not be authentic to trainers/trainees when they play it"
[42] (p. 317). A number of studies have addressed the
types of ‘acted’ behaviour such settings consequently
produce, what de la Croix and Skelton have called "the
language game of role-play" [32]. Seale et al. explore
how different ‘frames’, real and fictitious, are invoked
through talk in simulations [28]. They find subtle mo-
ments in which attention is drawn to the fictitious na-
ture of role-play, citing an example of humorous
comments made about an entirely invented paediatric
patient, that both the candidate and the role-player are
pretending is present (page 183). In their analysis, using
the fictitious nature of role-play to create humour is a
means for the candidate to achieve rapport with the
actor, not rapport with a ‘patient’. So there are multiple In simulation, the environment is mutually con-
structed as an unreal activity. In her analysis of emotions
in theatre acting, Konijin discusses the way actors must
monitor how far the emotions they are acting out accord
with the inner model of what the play should convey
[47]. The actor’s task is not to convey sincere emotions
but to play out words and actions that convince the
audience of the authenticity of their character within the
terms of the drama. At the same time they monitor their Page 5 of 9 Atkins et al. BMC Medical Education (2016) 16:16 simultaneous amplification and reduction is most appar-
ent in the interpersonal domains of assessment, as we
discuss below. own experience of acting and so experience a ‘dual con-
sciousness’. In a simulation, likewise, the trainee or candi-
date has to work hard to create a synthetic reality – one
that convinces the audience/observer, but not one that is
real to candidates in terms of consequences for patients:
an institutionalised display rather than a professional in-
vestment, all the while monitoring their conduct vis-à-vis
the examiner. In sum, simulation is a multi-layered per-
formance for both role-player and candidate requiring
some of the skills of an actor. The design and timing of cases The design of cases for simulated consultations moves the
focus from the how of patient care to the why of the par-
ticular selected case. Both students and candidates are
primed to fear the trip-wire that comes with the case:
“learners sometimes think there are hidden aspects…they
are being asked to discover, akin to peeling away the skins
of an onion until the flesh is found” (page 67) [52]. The simulated consultation as a context for assessing talk
The design of OSCE-style exams bring five other com-
plexities, relating to the quality of talk to the candidate’s
task, adding burdens and reducing the ‘real’. We con-
sider: (i) the talk-heavy nature of the consultations; (ii)
the design and timing of cases; (iii) the shift of power to
the role-player; (iv) standardised scenarios but individual
emotional responses and (v) who fails such assessments
– and why? We establish these themes from the authors’
study of the CSA [27] and from an overview of the lin-
guistic research on simulations [28, 32–37], but draw on
these findings to debate the particular implications for
assessment. g
In a high-stakes examination, this ‘Sherlock Holmes’
factor can mar or make success [27]. It turns the candi-
date into a timekeeper, dealing with concerns superfi-
cially so that the putative puzzle of the case can be
resolved. They may stop in mid-sentence when the whis-
tle blows or pack in questions or information as the last
minute ticks by. The strictly timed structure for simu-
lated consultations produces very different openings and
closings from that identified in real consultations. For
example, in real clinical encounters, doctors raising new
topics at the likely end of the encounter is rare but, con-
versely,
closings
are
often
extended
conversational
exchanges which build the doctor-patient relationship
more generally [53]. The talk-heavy nature of the consultations In simulated consultations, it is primarily talk-in-interaction
that is assessed. To succeed in simulated scenarios, candi-
dates must work harder or ‘over perform’, holding a higher
proportion of the conversational floor (between 67–77 %)
than in everyday consultations [34]. Research by Seale et al. identifies the complex, additional linguistic work required
from candidates in simulations [28] and research on the
Royal Australian College of General Practitioners’ licensing
examination identified how role-played scenarios require a
complex, hybrid discourse from the GP candidate [36]. Col-
lectively, these findings suggest that simulated consultations
require actions and skills to be verbalised by the candidate
to a much greater degree than in everyday clinical work. Who fails such assessments – and why? We have noted the heavy focus on talk in simulated con-
sultations. Communication or interpersonal skills are
often explicitly assessed with their own marking criteria
in medical OSCEs, but can also become implicitly
judged across all other domains, since professional ac-
tions like data-gathering and clinical management must
also be performed through effective communication
[27]. The metric of reliability also tends to reinforce the
unspoken assumption that there is an implicit ‘best way’
of scoring highly in the interpersonal domain. Candidates
in simulated consultations routinely produce formulaic
phrases such as "Can you tell me a bit more about…" "I
understand how you feel" or "I’m sorry to hear about that",
with a greater frequency and often in different sequential
positions, than is found in real life practice [27]. Some of
these mimic the phrases recommended in communication
skills textbooks and their extensive use in simulations may
be inevitable in an environment in which talk is being ob-
served and assessed. This is a finding corroborated by
Roberts et al. [31] in a study of undergraduate medical
OSCEs, where the use of elicitation phrases such as "How
do you feel about that?" could be interpreted as sounding
overly trained if used in the wrong location (page 8–9). In
an essay on the experience of being a role-player evalu-
ating candidates in US medical exams, Jamison points
out that to gain marks, empathy and compassion must
be ‘voiced’ and that (perhaps as a consequence) candi-
dates seemed either aggressively formulaic in their in-
sistence, "that must be really hard", or saturated with
humility "Would you mind if I – listened to your heart?"
(page 4–5) [56]. There have been similar findings on
simulations in professional settings outside medicine,
such as Stokoe’s research on police interview role-plays,
in which communication directives from training man-
uals are overtly used in the openings, in a way which
they are not in real-life police interviews, potentially for
the benefit of a marker [38]. Standardised scenarios but individual emotional responses
The role-player’s power is made more complex by the
shift from the institutional persona of the actor/patient
to the instinctive resources of the private person. In
other words, the role-player works with a hybrid of act-
ing behaviour and their own, individual interactional re-
sources. While careful training is used to standardise
‘patients’, the role-player is usually not working to a
tightly scripted part. Who fails such assessments – and why? He or she is given guidance to react
to the candidate in a natural way, to fulfil interactional
criteria (Table 1). If the candidate’s performance is un-
clear or irritating to the role-player, then the role-player
can respond in accord with their inner emotions (the ir-
ritation feels real, even though the setting is simulated). g
g
All parties in fact, must draw on their own inter-
actional resources to make sense of the encounter. Even
where a middle class actor acts a convincingly troubled
and inarticulate teenager, they cannot gainsay their own
interpretive processes (e.g. they can mumble or remain
silent but they cannot not understand). Examiners not
only have to judge this hybrid of simulation and instinct-
ive resources, they also have to manage their own mix of
instinctive reactions to how others interact, their own
professional expectations and the formal categories of
the examination. As one said, “A lot of the time, I am
comparing them to me and what I’m used to” [27]. This
mix of habits of talk, interpretation and evaluation (on
the one hand) and standardised judgements (on the
other) are most problematic in the domain of interper-
sonal skills, where subjective interpretation is necessary
to interpret what counts as ‘rapport’ or ‘sensitivity’. This It seems to be a consequence of the assessed, simulated
setting then, that participants use these formulaic, trained
professional phrases and interactional moves with a much
higher frequency than real-life. In exams such as the CSA,
high scoring candidates also produce 32 % more of these
exam-modelled utterances than weaker candidates. Yet
these phrases appear much less frequently in real consul-
tations [27]. Interestingly, weaker CSA candidates who
also produce these types of phrases, albeit slightly less fre-
quently, were assessed as formulaic in examiner feedback: Table 1 Examples of instructions to role-player from the CSA:
Behaviour/Demeanour/Body language
‘Case 1’
Reticent, trying to appear unconcerned. A bit resentful if the doctor appears to be telling you off. ‘Case 2’
Try to build a good rapport with doctor and don’t keep information back. You are familiar with GPs and hospitals, so you are comfortable with
the doctor. Table 1 Examples of instructions to role-player from the CSA:
Behaviour/Demeanour/Body language Try to build a good rapport with doctor and don’t keep information back. You are familiar with GPs and hospitals, so you are comfortable with
the doctor. The shift of power to the role-player account of the conversational inauthenticities of role-play
for police interviews [37], particularly the more elaborate
and sometimes humorous way in which conversational ac-
tions are performed in these false settings, where the
stakes for participants are entirely different from those
where a real defendant is being interviewed. There is lin-
guistic evidence, then, for how participants must orient
themselves in acted, simulated settings, monitoring their
performance and conducting extra linguistic work to
maintain the illusion of a real interaction. account of the conversational inauthenticities of role-play
for police interviews [37], particularly the more elaborate
and sometimes humorous way in which conversational ac-
tions are performed in these false settings, where the
stakes for participants are entirely different from those
where a real defendant is being interviewed. There is lin-
guistic evidence, then, for how participants must orient
themselves in acted, simulated settings, monitoring their
performance and conducting extra linguistic work to
maintain the illusion of a real interaction. Who fails such assessments – and why? The shift of power to the role-player The shift of power to the role player
Sociolinguistic research has identified how asymmetrical
interactions, where one speaker has more power than
another, show small-scale differences in talk. Medical
consultations are necessarily asymmetrical. The move-
ment in recent years towards patient-centredness and
shared decision making has not fundamentally altered
this, since asymmetry stems at least partly from the
doctor’s knowledge [54]. But in simulated consultations,
candidates must manage the fact that “the power rela-
tion is inverted, because knowledge and judgment rest
with the simulated patient rather than with the physician
student” (page 266) [55]. De la Croix and Skelton iden-
tify a higher number of interruptions from role-players
across 100 third-year OSCE exams, suggesting a position
of greater interactional power compared to findings on
the linguistic behaviour of real-life patients [32–34]. Not
only do the simulated patients know the case and how it
should play out [34], but in examiner feedback sessions
for research on simulations [27], examiners noted that
the simulated patients positioned themselves in an
actorly manner. They put demands on candidates that
patients usually would not and showed familiarity with
the exigencies of the case through their language [27]. Talk in simulated assessments is also relatively decon-
textualized, without the shaping role of the computer
[27, 48] or any of the other props and interruptions of
real consultations. Decontextualised environments incur
more talk [49] and, in an environment such as this, lead
to talk becoming intensely focussed on. In addition,
there is no continuity of care, so shared, unspoken
knowledge between doctor and patient can play no part. This potentially diminishes the types of relationships
and interactions that can be experienced by doctor and
patient in the simulated consultation. Relationship build-
ing over time and the deep values inherent in building
professional capability [50, 51] are overshadowed by an
externally timed case where surface skills must be made
explicit (e.g. enacted or voiced) for assessment. This Evidence from outside medical education has also
shown the shift in power relations between speakers when
interacting in simulations. Stokoe conducts a nuanced Atkins et al. BMC Medical Education (2016) 16:16 Page 6 of 9 became particularly evident in feedback sessions with
examiners, as the following section explores. Who fails such assessments – and why? It seems just very formulaic and a lot of it seems
learned. ‘I understand why you would be worried’, Atkins et al. BMC Medical Education (2016) 16:16 Page 7 of 9 Page 7 of 9 Atkins et al. BMC Medical Education (2016) 16:16 As indicated above, simulations lead to more talk,
more formulaic phrases and more work to ensure that
such talk sounds sincere. This focus on talk and how it
sounds in contexts of intense assessment puts particular
pressure on those whose style of communicating is dif-
ferent from the majority of examiners and also, perhaps,
the patient role-players. Small differences in such subtle
features as intonation, word stress and other small
markers of speech can be amplified and read off as
showing negative characteristics, such as formulaic re-
sponses or not engaging, attracting lower marks in the
interpersonal (page 32–73) [27]. Additionally, since it
can be difficult to make standardised, simulated cases re-
flect the same variation as real-life consulting, perform-
ance will not reflect the ability to interact effectively and
flexibly with a diverse patient population. In many such
exams, while UK graduates are not assessed on consult-
ing in linguistically challenging situations, International
Medical Graduates, many of whom consult regularly in
another expert language within the British multi-cultural
context, have no opportunity to display this skill as they
might use it in their everyday practice. Such competence
in linguistically and culturally challenging situations is
increasingly important for medical practitioners treating
diverse patient populations, both in the UK and globally. It is perhaps the biggest challenge for assessing medical
practitioners’ interpersonal competence in our modern-
day context of globalised, mobile and diverse societies. ‘What kind of thought went through your mind when
you made this appointment’ which kind of is an
attempt to do the right thing but to me it just felt
very crass… [27] ‘What kind of thought went through your mind when
you made this appointment’ which kind of is an
attempt to do the right thing but to me it just felt
very crass… [27] Detailed analysis of stronger candidates’ talk showed
that they knew how to play the game: they customised
formulaic phrases so they sounded more real and sin-
cere, adding in little hesitations, colloquialisms and
changes in intonation (page 59–61) [27]. Summary A review of sociolinguistic approaches to simulations
demonstrates that simulated assessment, even when it is
‘realistic’, shows some crucial differences to the communi-
cative competences found in real-life practice. Talk is al-
ways a performance in context and in simulations, the
role-playing patient, the candidate and the examiner all
have to work hard to maintain the illusion. Candidates
who can handle the social and linguistic complexity of this
somewhat artificial, standardised situation score highly –
yet what is being assessed is not real communication but
the ability to voice a credible appearance of such commu-
nication. It follows that if communication skills are
assessed purely through simulated patients, this may not
reflect the real consulting abilities of candidates. We must
question whether simulations replace the values–led de-
velopment of medical students with ‘playing the game’ of
simulation [50, 51, 59]. The ability of doctors to form en-
during therapeutic relationships with patients may not be
adequately reflected in the “colonisation [of medicine] by
the technologies of the unreal” [60]. Who fails such assessments – and why? In such cir-
cumstances, the ‘empathy telling’, already a simulation of
feeling and perception, has to be further worked on to
invoke a convincing suspension of disbelief: a double
simulation or to extend Konijin’s concept of ‘dual con-
sciousness’ [47], a ‘triple consciousness’, consisting of the
candidate’s own sense of themselves as professionals, the
consciousness that they must simulate a professional en-
counter – and in addition within the institutional frame
– must work on the formulaic phrases of the simulation
so that they sound more sincere to examiners. It is in
these small details of talk, here in the small variations in
delivery of exam-modelled phrases, that we can see how
power and social relationships are constituted in the
micropractices of interaction and its evaluation [25]. In terms of construct validity, does the simulated con-
sultation measure what it purports: the interpersonal
capabilities expected of a doctor? The answer is a com-
plex one. Though the simulation may be good at testing
skills such as giving explanations and structuring the
consultation, there are a number of linguistic features
which do not mimic real-life practice. For example, it
examines competence in using additional communica-
tive resources to make exam-induced ‘voiced’ phrases
sound sincere and to manage the triple consciousness
required to perform to examiners. In terms of assess-
ment theory, there is a "construct-irrelevant variance"
[57] in which certain know-how is assessed which is not
a requirement of real consultations. Received: 18 September 2015 Accepted: 6 January 2016 Received: 18 September 2015 Accepted: 6 January 2016 Received: 18 September 2015 Accepted: 6 January 2016 Acknowledgements
Th
h
f The authors are grateful to the research funders who facilitated the work
with the Royal College of General Practitioners, which is referred to in this
paper. This included a Knowledge Transfer Partnership award (KTP008346,
2011–2013), from the Technology Strategy Board and the Academy of
Medical Royal Colleges in the United Kingdom. SA was additionally funded
by an Economic and Social Research Council ‘Future Research Leaders’ grant
at the University of Nottingham (ES/K00865X/1, 2013–2016). The authors are grateful to the research funders who facilitated the work
with the Royal College of General Practitioners, which is referred to in this
paper. This included a Knowledge Transfer Partnership award (KTP008346,
2011–2013), from the Technology Strategy Board and the Academy of
Medical Royal Colleges in the United Kingdom. SA was additionally funded
by an Economic and Social Research Council ‘Future Research Leaders’ grant
at the University of Nottingham (ES/K00865X/1, 2013–2016). We are also grateful to the Royal College of General Practitioners for the
access and close advice they gave the authors throughout the original
research, on which this debate article is built, and to all the exam candidates
who gave their consent to be part of the study. We are also grateful to the Royal College of General Practitioners for the
access and close advice they gave the authors throughout the original
research, on which this debate article is built, and to all the exam candidates
who gave their consent to be part of the study. Simulated consultations as potentially disadvantaging
candidates trained overseas While all assessments may require ‘exam skills’ to some
degree, when one group of candidates fares much worse
than another, as occurs in many of these assessments [27],
the fairness of these exam-constructed requirements
needs to be carefully considered. There is wide recogni-
tion that for many candidates trained outside their home
country for the assessment, simulations are often a new
phenomenon and that, like any type of assessment, lack of
familiarity affects performance [58]. The simple solution
offered is that this group need more practice with simula-
tions. However, detailed sociolinguistic analysis suggests
that simulations may cause difficulties for this group of
candidates in other ways as well. The discipline of sociolinguistics offers an evidenced
approach to these questions around professional com-
munication. In this paper, we have introduced three core
sociolinguistic concepts relevant to the assessment of Atkins et al. BMC Medical Education (2016) 16:16 Page 8 of 9 Page 8 of 9 Page 8 of 9 communication in medicine: that the particular variety
of talk in simulated consultations separates it out from
the talk in real consultations; that the notion of ‘frame’
is used to understand how we relate to and make our
talk real to each other and that this reality breaks down
in institutionally assessed communication; and that
micro-features of talk feed constantly into our evaluation
of others and, in high-stakes assessments, can have large
consequences on the trajectory of an interaction. While
a single awkward moment is unlikely to lead to failure,
in settings of intense evaluation, perceived infelicities
such as an unfilled pause or formulaic phrase become
amplified. The cumulative effect of such micro-features
may lead to a candidate being judged as "not developing
rapport" or as showing inadequate responsiveness to
"verbal and non-verbal cues" and an overall negative im-
pression of interpersonal abilities. as an adviser on the original project with the Royal College of General
Practitioners. TG has conducted extensive research in the field of medical
education and has drawn on this in substantially rewriting the initial and
subsequent versions of this article. All authors contributed to conceptualizing
and writing the paper, sourcing material. All authors have seen and
approved the final manuscript. Competing interests
KH
i
f KH was an examiner for the Royal College of General Practitioners’ (RCGP) Clinical
Skills Assessment during the data-collection and analytic phases of the research
cited in this article. The authors have no other competing interests to declare. KH was an examiner for the Royal College of General Practitioners’ (RCGP) Clinical
Skills Assessment during the data-collection and analytic phases of the research
cited in this article. The authors have no other competing interests to declare. 11. McManus IC, Wakeford R. PLAB and UK graduates' performance on MRCP(UK)
and MRCGP examinations: data linkage study. Br Med J. 2014;348:g2621. 12. Korkiakangas T, Weldon S-M, Bezemer J, Kneebone R. Video-Supported
Simulation for Interactions in the Operating Theatre (ViSIOT). Clin Simul
Nurs. 2015;11(4):203–7. Abbreviations
CSA
li i
l kill CSA: clinical skills assessment; MRCGP: Examinations for ‘Membership of the
Royal College of General Practitioners’; OSCE: objective structured clinical
examination; RCGP: Royal College of General Practitioners. 9. Dewhurst NG, McManus C, Mollon J, Dacre JE, Vale AJ. Performance in the
MRCP(UK) Examination 2003–4: analysis of pass rates of UK graduates in
relation to self-declared ethnicity and gender. BMC Med. 2007;5:8. 10. McManus IC, Elder AT, Dacre J. Investigating possible ethnicity and sex bias
in clinical examiners: an analysis of data from the MRCP(UK) PACES and
nPACES examinations. BMC Med Educ. 2013;13:103. References 1. Khan KZ, Gaunt K, Ramachandran S, Pushkar P. The Objective Structured
Clinical Examination (OSCE): AMEE Guide No. 81. Part II: Organisation &
Administration. Med Teach. 2013;35(9):e1447–63. 1. Khan KZ, Gaunt K, Ramachandran S, Pushkar P. The Objective Structured
Clinical Examination (OSCE): AMEE Guide No. 81. Part II: Organisation &
Administration. Med Teach. 2013;35(9):e1447–63. 2. Khan KZ, Ramachandran S, Gaunt K, Pushkar P. The Objective Structured
Clinical Examination (OSCE): AMEE Guide No. 81. Part I: An historical and
theoretical perspective. Med Teach. 2013;35(9):e1437–46. 2. Khan KZ, Ramachandran S, Gaunt K, Pushkar P. The Objective Structured
Clinical Examination (OSCE): AMEE Guide No. 81. Part I: An historical and
theoretical perspective. Med Teach. 2013;35(9):e1437–46. 3. Swanson DB, van der Vleuten CP. Assessment of clinical skills with
standardized patients: state of the art revisited. Teaching and Learning in
Medicine. 2013;25(sup1):S17–25. 3. Swanson DB, van der Vleuten CP. Assessment of clinical skills with
standardized patients: state of the art revisited. Teaching and Learning in
Medicine. 2013;25(sup1):S17–25. 4. First LR, Chaudhry HJ, Melnick DE. Quality, cost, and value of clinical skills
assessment. N Engl J Med. 2013;368(10):963–4. 4. First LR, Chaudhry HJ, Melnick DE. Quality, cost, and value of clinical skills
assessment. N Engl J Med. 2013;368(10):963–4. 5. Boulet JR, Smee SM, Dillon GF, Gimpel JR. The use of standardized patient
assessments for certification and licensure decisions. Simul Healthc. 2009;
4(1):35–42. 5. Boulet JR, Smee SM, Dillon GF, Gimpel JR. The use of standardized patient
assessments for certification and licensure decisions. Simul Healthc. 2009;
4(1):35–42. 6. Cleland JA, Abe K, Rethans J-J. The use of simulated patients in medical
education: AMEE Guide No 42 1. Med Teach. 2009;31(6):477–86. 6. Cleland JA, Abe K, Rethans J-J. The use of simulated patients in medical
education: AMEE Guide No 42 1. Med Teach. 2009;31(6):477–86. 7. Holmboe ES, Ward DS, Reznick RK, Katsufrakis PJ, Leslie KM, Patel VL, et al. Faculty development in assessment: the missing link in competency-based
medical education. Acad Med. 2011;86(4):460–7. 7. Holmboe ES, Ward DS, Reznick RK, Katsufrakis PJ, Leslie KM, Patel VL, et al. Faculty development in assessment: the missing link in competency-based
medical education. Acad Med. 2011;86(4):460–7. 8. Gormley G, Sterling M, Menary A, McKeown G. Keeping it real! Enhancing
realism in standardised patient OSCE stations. Clin Teach. 2012;9(6):382–6. 8. Gormley G, Sterling M, Menary A, McKeown G. Keeping it real! Enhancing
realism in standardised patient OSCE stations. Clin Teach. 2012;9(6):382–6. 13.
Sarangi S. Healthcare interaction as an expert communicative system. New
Advent Lang Interac. 2010;196:167. 11.
McManus IC, Wakeford R. PLAB and UK graduates' performance on MRCP(UK)
and MRCGP examinations: data linkage study. Br Med J. 2014;348:g2621. 12.
Korkiakangas T, Weldon S-M, Bezemer J, Kneebone R. Video-Supported
Simulation for Interactions in the Operating Theatre (ViSIOT). Clin Simul
Nurs. 2015;11(4):203–7. Author details
1 1Centre for Research in Applied Linguistics, Trent Building, University of
Nottingham, Nottingham NG7 2RD, UK. 2Department of Education &
Professional Studies, King’s College London, Franklin-Wilkins Building,
Waterloo Road, London SE1 9NH, UK. 3Duke of Kent Building, Faculty of
Health and Medical Sciences, University of Surrey, Surrey GU2 7XH, UK. 4Nuffield Department of Primary Care Health Sciences, University of Oxford Although a number of studies have identified that sim-
ulated interactions show important differences from
real-life professional communication [27, 28, 33–37], we
are not arguing that simulation has no place in teaching
or assessment. Much of medical practice consists of
skills that are more or less technical in nature and which
can be both taught and assessed effectively using simu-
lated patients (the rationale behind the ‘skills lab’) [61]. Formative simulated consultations have great value in
the safety they afford learners to make and learn from
mistakes, as well as to ‘slow down’ the consultation to
study what has happened. Summative simulated assess-
ments, however, must carefully consider the difficulties
of assessing interpersonal skills in this setting. Hence, we
do not seek to bury the OSCE, but in introducing the
sociolinguistic perspective, we do seek to debate its level
of validity for assessing communicative and interactional
aspects of clinical performance. Furthermore, we believe
the evidence identified in a number sociolinguistic studies
of simulated interaction [27, 30, 58] requires us to con-
sider carefully what we mean by ‘fairness’ in assessment
and how we might better assess communication skills in
settings of cultural and linguistic diversity. 4Nuffield Department of Primary Care Health Sciences, University of Oxford,
Oxford OX2 6GG, UK. 10.
McManus IC, Elder AT, Dacre J. Investigating possible ethnicity and sex bias
in clinical examiners: an analysis of data from the MRCP(UK) PACES and
nPACES examinations. BMC Med Educ. 2013;13:103. 6.
Cleland JA, Abe K, Rethans J-J. The use of simulated patients in medical
education: AMEE Guide No 42 1. Med Teach. 2009;31(6):477–86. CSA: clinical skills assessment; MRCGP: Examinations for ‘Membership of the
Royal College of General Practitioners’; OSCE: objective structured clinical
examination; RCGP: Royal College of General Practitioners. 8.
Gormley G, Sterling M, Menary A, McKeown G. Keeping it real! Enhancing
realism in standardised patient OSCE stations. Clin Teach. 2012;9(6):382–6. 7.
Holmboe ES, Ward DS, Reznick RK, Katsufrakis PJ, Leslie KM, Patel VL, et al.
Faculty development in assessment: the missing link in competency-based
medical education. Acad Med. 2011;86(4):460–7. 14.
Brannick MT, Erol-Korkmaz HT, Prewett M. A systematic review of the
reliability of objective structured clinical examination scores. Med Educ.
2011;45(12):1181–9. Authors’ contributions
S
ll
h Bosse HM, Nickel M, Huwendiek S, Jünger J, Schultz JH, Nikendei C. Peer
role-play and standardised patients in communication training: a
comparative study on the student perspective on acceptability, realism, and
perceived effect. BMC Med Educ. 2010;10(1):27. 46. Bauman R. Verbal art as performance. Prospect Heights, Illinois: Waveland
Press; 1984. 47. Konijn E. Acting emotions: shaping emotions on stage. Amsterdam:
Amsterdam University Press; 2000. 47. Konijn E. Acting emotions: shaping
Amsterdam University Press; 2000. 21. Kinnersley P, Ben-Shlomo Y, Hawthorne K, Donovan J, Chaturvedi N. The
acceptability and practicality of simulated patients for studying general
practice consultations in Britain. Educ Prim Care. 2005;16:540–6. 48. Swinglehurst D, Greenhalgh T, Roberts C. Computer templates in chronic
disease management: ethnographic case study in general practice. BMJ
Open. 2012;2(6). 22. Gumperz J. On interactional sociolinguistic method. In: Sarangi S, Roberts C,
editors. Talk, work and institutional order: Discourse in medical, mediation
and management settings. New York: Mouton de Gruyter; 1999. p. 453–71. 49. Levelt W. Speaking: from intention to articulation. Cambridge: MIT Press;
1989. 23. Holmes J. An Introduction to Sociolinguistics. London: Longman; 1992. 50. Bleakley A. ‘Good’ and ‘poor’ communication in an OSCE: education or
training? Med Educ. 2003;37(3):186–7. 24. Holmes J, Marra M. The Routledge Handbook of Language and
Professional Communication. In: Vajay B, Stephen B, editors. The
Routledge Handbook of Language and Professional Communication. Abingdon: Routledge; 2014. p. 112–26. 51. Fraser SW, Greenhalgh T. Coping with complexity: educating for capability. Br Med J. 2001;323(7316):799–803. 52. Kurtz SM, Silverman JD. The Calgary—Cambridge Referenced Observation
Guides: an aid to defining the curriculum and organizing the teaching in
communication training programmes. Med Educ. 1996;30(2):83–9. 25. Foucault M. Discipline and Punish: The Birth of the Prison. Harmondsworth:
Penguin; 1979. 26. Morand DA. Language and power: an empirical analysis of linguistic
strategies used in superior-subordinate communication. J Organ Behav. 2000;21(3):235–48. 53. West C. Co-ordinating closings in primary care visits: producing continuity
of care. In: Communication in medical care: Interaction between primary
care physicians and patients. Volume 20, edn. Edited by Heritage J, Maynard
DW. Cambridge: Cambridge University Press; 2006. 27. Roberts C, Atkins S, Hawthorne K. Performance features in clinical skills
assessment: Linguistic and cultural factors in the Membership exam in the
Royal College of General Practitioners. London: King's College London with
the University of Nottingham; 2014. DW. Cambridge: Cambridge University Press; 2006. 54. Peräkylä A. Communicating and responding to diagnosis. Authors’ contributions
S
ll
h SA was originally the Research Associate who conducted the analytic work
on the Clinical Skills Assessment described in this article and drafted the first
version of this debate article. CR was originally the Principle Investigator on
the research project with the Royal College of General Practitioners and
substantially contributed to the first draft and subsequent versions of this
article. KH contributed a significant amount of analytic work and discussion 14. Brannick MT, Erol-Korkmaz HT, Prewett M. A systematic review of the
reliability of objective structured clinical examination scores. Med Educ. 2011;45(12):1181–9. 14. Brannick MT, Erol-Korkmaz HT, Prewett M. A systematic review of the
reliability of objective structured clinical examination scores. Med Educ. 2011;45(12):1181–9. Page 9 of 9 Atkins et al. BMC Medical Education (2016) 16:16 Page 9 of 9 15. Ilgen JS, Ma IW, Hatala R, Cook DA. A systematic review of validity evidence
for checklists versus global rating scales in simulation‐based assessment. Med Educ. 2015;49(2):161–73. analysis: Changing institutional practices. Basingstoke: Palgrave
Macmillan; 2011. p. 119–39. analysis: Changing institutional practices. Basingstoke: Palgrave
Macmillan; 2011. p. 119–39. 39. Goffman E. Frame analysis: an essay on the organization of experience. New
York: Harper and Row; 1974. 16. Lievens F, Sackett PR. The validity of interpersonal skills assessment via
situational judgment tests for predicting academic success and job
performance. J Appl Psychol. 2012;97(2):460. 40. Goffman E. Interaction ritual: essays in face to face behavior. New York:
Doubleday; 1967. 41. Harrison S. How do you make a medical student feel stupid
latex breasts and silicone ears. In: The Guardian. 2008. 17. Nestel D, Tabak D, Tierney T, Layat-Burn C, Robb A, Clark S, et al. Key
challenges in simulated patient programs: An international comparative
case study. BMC Med Educ. 2011;11(1):69. latex breasts and silicone ears. In: The Guardian. 2008. 42. Niemants NSA. From Role-Playing to Role-Taking: Interpreter’s Role(s) in
Healthcare. In: From Role-Playing to Role-Taking: Interpreter’s Role(s) in
Healthcare. Amsterdam/Philadelphia: John Benjamins; 2013. p. 305–19. 18. Miller GE. The assessment of clinical skills/competence/performance. Acad
Med. 1990;65(9):S63–7. 43. Goffman E. The presentation of self in everyday life. 1959. 19. Allen J, Rashid A. What determines competence within a general practice
consultation? Assessment of consultation skills using simulated surgeries. Br J Gen Pract. 1998;48(430):1259–62. 44. Goffman E. On face-work: An analysis of ritual elements in social interaction. Psychiatry. 1955;18(3):213–31. 45. Drew P, Heritage J. Analyzing talk at work: An introduction. London: Able
Books; 1992. 20. Authors’ contributions
S
ll
h In:
Communication in medical care: Interaction between primary care
physicians and patients. 2006. p. 214–47. 28. Seale C, Butler CC, Hutchby I, Kinnersley P, Rollnick S. Negotiating frame
ambiguity: A study of simulated encounters in medical education. Commun
Med. 2007;4(2):177–87. 55. Hanna M, Fins JJ. Power and communication: why simulation training
ought to be complemented by experiential and humanist learning. Acad
Med. 2006;81(3):265–70. 29. Sanci L, Day N, Coffey C, Patton G, Bowes G. Simulations in evaluation of
training: a medical example using standardised patients. Eval Program
Plann. 2002;25(1):35–46. 56. Jamison L. The empathy exams: essays. Minnesota: Graywolf Press; 2014. 56. Jamison L. The empathy exams: essays. Minnesota: Graywolf Press; 2014. 57. Haladyna TM, Downing SM. Construct‐irrelevant variance in high‐stakes
testing. Educ Meas. 2004;23(1):17–27. 57. Haladyna TM, Downing SM. Construct‐irrelevant variance in high‐stakes
testing. Educ Meas. 2004;23(1):17–27. 30. Mohanna K. Exploring the Royal College of General Practitioners' Clinical
Skills Assessment (unpublished thesis in partial completion of Ed D). London: University College London Institute of Education; 2011. 58. Esmail A, Roberts C. Independent review of the membership of the Royal
College of General Practitioners (MRCGP) examination. Gen Med Counc. 2013:1–44. http://www.gmc-uk.org/MRCGP_Final_Report__18th_
September_2013.pdf_53516840.pdf. 58. Esmail A, Roberts C. Independent review of the membership of the Royal
College of General Practitioners (MRCGP) examination. Gen Med Counc. 2013:1–44. http://www.gmc-uk.org/MRCGP_Final_Report__18th_
September_2013.pdf_53516840.pdf. 31. Roberts C, Wass V, Jones R, Sarangi S, Gillett A. A discourse analysis study of
'good' and 'poor' communication in an OSCE: a proposed new framework
for teaching students. Med Educ. 2003;37(3):192–201. 59. Skelton JR. Everything you were afraid to ask about communication skills. Br J Gen Pract. 2005;55(510):40–6. 59. Skelton JR. Everything you were afraid to ask about communication skills. Br J Gen Pract. 2005;55(510):40–6. 32. de la Croix A. The language game of role-play: an analysis of assessed
consultations between third year medical students and Simulated Patients
(SPs). Birmingham: University of Birmingham; 2010. 60. Greenhalgh T. Future-proofing relationship-based care: a priority for general
practice. Br J Gen Pract. 2014;64(628):580. 61. Ziv A, Ben-David S, Ziv M. Simulation based medical education: an
opportunity to learn from errors. Med Teach. 2005;27(3):193–9. 33. de la Croix A, Skelton J. The simulation game: an analysis of
interactions between students and simulated patients. Med Educ. 2013;
47(1):49–58. 34. de la Croix A, Skelton J. The reality of role‐play: interruptions and amount of
talk in simulated consultations. Med Educ. 2009;43(7):695–703. Submit your next manuscript to BioMed Central
and we will help you at every step: • We accept pre-submission inquiries
• Our selector tool helps you to find the most relevant journal
• We provide round the clock customer support
• Convenient online submission
• Thorough peer review
• Inclusion in PubMed and all major indexing services
• Maximum visibility for your research
Submit your manuscript at
www.biomedcentral.com/submit
Submit your next manuscript to BioMed Central
and we will help you at every step: • We accept pre-submission inquiries
• Our selector tool helps you to find the most relevant journal
• We provide round the clock customer support
• Convenient online submission
• Thorough peer review
• Inclusion in PubMed and all major indexing services
• Maximum visibility for your research
Submit your manuscript at
www.biomedcentral.com/submit
y
p
and we will help you at every step: 35. Niements N. From Role-Playing to Role-Taking: Interpreter’s Role(s) in
Healthcare. In: Schäffner C, Fowler Y, Kredens K, editors. Interpreting in a
changing landscape: selected papers from critical link. Amsterdam/
Philadelphia: John Benjamins; 2013. p. 305–19. • We accept pre-submission inquiries 36. O'Grady C, Candlin CN. Engendering trust in a multiparty consultation
involving an adolescent patient. In: Candlin C, Crichton J, editors. Discourses
of trust. London: Palgrave Macmillan; 2013. p. 52–69. 36. O'Grady C, Candlin CN. Engendering trust in a multiparty consultation
involving an adolescent patient. In: Candlin C, Crichton J, editors. Discourses
of trust. London: Palgrave Macmillan; 2013. p. 52–69. 37. Stokoe E. The (in) authenticity of simulated talk: comparing role-played and
actual interaction and the implications for communication training. Res
Lang Soc Interact. 2013;46(2):165–85. 37. Stokoe E. The (in) authenticity of simulated talk: comparing role-played and
actual interaction and the implications for communication training. Res
Lang Soc Interact. 2013;46(2):165–85. 38. Stokoe E. Simulated interaction and communication skills training: The
“Conversation Analytic Role-play Method. In: Applied conversation 38. Stokoe E. Simulated interaction and communication skills training: The
“Conversation Analytic Role-play Method. In: Applied conversation
|
https://openalex.org/W4205511605
|
http://jurnal.umb.ac.id/index.php/JAKTA/article/download/1960/2902
|
Indonesian
| null |
ANALISIS FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP PERATAAN LABA PADA PERUSAHAAN MANUFAKTUR SUB SEKTOR MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA
|
Jurnal Akuntansi, Keuangan dan Teknologi Informasi Akuntansi
| 2,022
|
cc-by-sa
| 7,151
|
ISSN: 2723-1399
e-ISSN: 2723-1488 ISSN: 2723-1399
e-ISSN: 2723-1488 ISSN: 2723-1399
e-ISSN: 2723-1488 Keywords: Kata kunci:
Profitabilitas,
Ukuran
Perusahaan, Risiko Keuangan,
Perataan Laba. ANALISIS FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP PERATAAN
LABA PADA PERUSAHAAN MANUFAKTUR SUB SEKTOR MAKANAN DAN
MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA Irna Astriana 1, Nurmala1
1Program Studi Akuntansi, Fakultas Ekonomi
1Universitas PGRI Palembang
Email : nurmala@univpgri-palembang.ac.id http://jurnal.umb.ac.id/index.php/JAKTA/index INFORMASI ARTIKEL This study aims to determine the effect of profitability, firm size, and financial
risk on income smoothing in food and beverage sub-sector manufacturing
companies listed on the Indonesia Stock Exchange for the 2015-2019 period. Indonesia Stock Exchange with a total sample of 13 companies. The sampling
technique was done by purposive sampling technique. The data used in this study
is the company's annual financial report data for 2015-2019. Data analysis and
discussion was carried out using quantitative descriptive methods by testing the
truth of the hypothesis. The results partially show that the profitability of Return
On Assets (ROA) obtained a significant value of 0.041 ˂ 0.05, this means that
Ha is rejected and Ho is accepted, then there is a significant effect between
Return On Assets on income smoothing of firm size, a significant value is 0.031
˂ 0.05, this means Ha is rejected and Ho is accepted, then there is a significant
effect between firm size on income smoothing and financial risk as measured by
the Leverage Ratio, a significant value is obtained at 0.390 ˃ 0.05, this means Ha
is accepted and Ho is rejected, so there is no significant influence between
financial risk on income smoothing. While the results of the study
simultaneously state that the Fsig value is 0.140 ˃ 0.05, this means that Ha is
accepted and Ho is rejected, so profitability, firm size, and financial risk
simultaneously have no significant effect on income smoothing. Riwayat Artikel:
Diterima : 25 Agustus 2022
Direvisi : 10 September 2022
Disetujui : 29 Desember 2022 Keywords:
Profitability, Company Size,
Financial Risk, Income
Smoothing. Keywords:
Profitability, Company Size,
Financial Risk, Income
Smoothing. PENDAHULUAN Situasi perekonomian negara yang tidak menentu dan ketatnya persaingan di dunia usaha
mendorong manajemen untuk bekerja lebih efektif dan efisien agar perusahaan mampu bertahan dan
menjaga eksistensinya sekaligus meningkatkan kinerja manajemen untuk mendapatkan hasil yang
optimal bagi perusahaan. Bagi investor, kinerja manajemen menjadi faktor pendorong dalam menilai
suatu perusahaan dan membuat keputusan. Dalam perkembangan dunia usaha yang meningkat pesat, kemajuan teknologi yang semakin
canggih, persaingan yang semakin ketat antar perusahaan, serta situasi perekonomian negara yang
tidak menentu saat ini mendorong manajemen perusahaan berlomba-lomba menjadi unggul dari
perusahaan pesaingnya, salah satu dari banyaknya media yang dapat digunakan oleh pihak
manajemen untuk menampilkan kinerja dan performa perusahaannya adalah informasi akuntansi dan
salah satunya ialah informasi dalam laporan keuangan. Informasi akuntansi yang berhubungan dengan
kinerja perusahaan merupakan kebutuhan yang paling mendasar dalam proses pengambilan keputusan
bagi investor di pasar modal. Menurut
(Muhammad
Rifky
Santoso,
2014),
laporan
keuangan
sebagai
bentuk
pertanggungjawaban dari pengeluaran biaya dan penerimaan semua pendapatan dari kegiatan
operasional dalam mendapatkan keuntungan yang menjadi tujuan perusahaan. Menurut Hans Kartikahadi 2016 laporan keuangan bertujuan menyediakan informasi tentang
posisi keuangan, kinerja, serta perubahan posisi keuangan suatu perusahaan yang bermanfaat bagi
sejumlah besar pemakai dalam pengambilan keputusan ekonomi. Untuk memenuhi tujuan tersebut, laporan keuangan menyediakan informasi tentang suatu
entitas yang terdiri dari: aset, liabilitas, ekuitas, pendapatan dan beban serta kontribusi dan distribusi
kepada pemilik dalam kapasitasnya sebagai pemilik, serta arus kas. Informasi tersebut beserta
informasi lain yang terdapat dalam catatan atas laporan keuangan membantu pengguna laporan
keuangan dalam prediksi arus kas masa depan dan kinerja entitas. Laporan keuangan terdiri atas neraca, laporan laba rugi, laporan arus kas, laporan perubahan
ekuitas dan catatan atas laporan keuangan. Pemakai laporan keuangan dikelompokkan menjadi dua
kelompok yaitu pihak internal dan pihak eksternal. Pihak internal yang berkepentingan terhadap
laporan keuangan ialah manajemen. Pihak eksternal perusahaan terdiri dari investor, kreditor,
pemerintah, karyawan perusahaan, dan masyarakat umum. Laporan keuangan menjadi sumber
informasi bagi kedua pihak tersebut dalam pengambilan keputusan. Laporan keuangan dapat
menggambarkan keadaan perusahaan, karena dalam laporan keuangan tersebut banyak mengandung
informasi yang sangat dibutuhkan oleh pihak-pihak yang berkepentingan, terutama informasi
mengenai laba perusahaan. Alat yang digunakan untuk mengukur kinerja manajemen salah satunya adalah laba. Tujuan
informasi laba adalah untuk menilai kinerja manajemen, membantu mengestimasi kemampuan laba
dalam jangka panjang, dan memperkirakan risiko-risiko investasi. Kemampuan dan nilai perusahaan
dalam mengelola aset-asetnya dapat digambarkan dengan cara melihat bagaimana perusahaan dalam
menghasilkan laba dalam operasinya. http://jurnal.umb.ac.id/index.php/JAKTA/index ABSTRAK: Penelitian ini bertujuan untuk mengetahui pengaruh profitabilitas, ukuran
perusahaan, dan risiko keuangan terhadap perataan laba pada perusahaan
manufaktur sub sektor makanan dan minuman yang terdaftar di Bursa
Efek Indonesia periode 2015-2019.Populasi penelitian ini adalah
perusahaan manufaktur sub sektor makanan dan minuman yang terdaftar
di Bursa Efek Indonesia dengan jumlah sampel 13 perusahaan. Teknik
pengambilan sampel dilakukan dengan teknik purposive sampling. Data
yang digunakan dalam penelitian adalah data laporan keuangan tahunan
perusahaan tahun 2015-2019. Analisis data dan pembahasan dilakukan
dengan menggunakan metode deskriptif kuantitatif dengan menguji
kebenaran hipotesis. Hasil penelitian secara parsial menunjukkan bahwa
profitabilitas Return On Asset (ROA) didapatkan nilai signifikan sebesar
0,041 ˂ 0,05, ini berarti Ha ditolak dan Ho diterima, maka terdapat
pengaruh signifikan antara Return On Asset terhadap perataan laba
ukuran perusahaan didapatkan nilai signifikan sebesar 0,031 ˂ 0,05, ini
berarti Ha ditolak dan Ho diterima, maka terdapat pengaruh signifikan
antara ukuran perusahaan terhadap perataan laba dan risiko keuangan
yang diukur dengan Leverage Ratio didapatkan nilai signifikan sebesar
0,390 ˃ 0,05, ini berarti Ha diterima dan Ho ditolak maka tidak terdapat
pengaruh signifikan antara risiko keuangan terhadap perataan laba. Sedangkan hasil penelitian secara simultan menyatakan bahwa nilai Fsig
sebesar 0,140 ˃ 0,05, ini berarti Ha diterima dan Ho ditolak maka
profitabilitas, ukuran perusahaan, dan risiko keuangan, secara simultan
tidak memiliki pengaruh signifikan terhadap perataan laba. Vol 3. No. 2. Desember 2022 645 http://jurnal.umb.ac.id/index.php/JAKTA/index PENDAHULUAN Oleh sebab itu, pengguna laporan keuangan terutama investor
dan kreditor biasanya hanya terfokus pada laba perusahaan, tanpa mengetahui bagaimana prosedur
yang dilakukan oleh manajemen untuk menghitung laba seperti yang tertulis di laporan keuangan. Laba merupakan salah satu informasi potensial yang terkandung di dalam laporan keuangan. Laba perusahaan berguna sebagai penghasil bagi investor dan orang-orang yang berkepeningan di
dalamnya sehingga proses produksi dapat terus berjalan dan menghasilkan laba-laba berikutnya. Menurut Widyaningdyah, 2001 (Amanza, 2012), Standar Akuntansi Keuangan (SAK),
memberikan fleksibilitas bagi manajemen untuk memilih kebijakan akuntansi yang lebih
mempresentasikan keadaan perusahaan sesungguhnya. Fleksibilitas itulah yang terkadang
dimanfaatkan oleh manajemen untuk melakukan manajemen laba (earnings management). Oleh
karena itu, manajemen mempunyai kecenderungan untuk melakukan tindakan yang dapat membuat
laporan keuangan menjadi baik. Salah satu bentuk dari tindakan ini adalah praktik perataan laba Vol 3. No. 2. Desember 2022 646 ISSN: 2723-1399
e-ISSN: 2723-1488 (income smoothing) yang pada dasarnya merupakan tindakan yang dinilai bertentangan dengan tujuan
perusahaan. (income smoothing) yang pada dasarnya merupakan tindakan yang dinilai bertentangan dengan tujuan
perusahaan. Menurut Fudenberg dan Tirole dalam Hasanah, 2007 (Pratama, 2012), perataan laba adalah
proses manipulasi waktu terjadinya laba atau laporan laba agar laba yang dilaporkan terlihat stabil. Menurut Belkaoui, 2006:73 (Handayani, 2016), perataan laba adalah pengurangan fluktuasi laba dari
tahun ke tahun dengan memindahkan pendapatan dari tahun-tahun yang tinggi pendapatannya ke
periode-periode yang kurang menguntungkan. Lebih lanjut dijelaskan bahwa perataan laba sebagai
fenomena proses manipulasi profil waktu dari pendapatan atau laporan laba menjadi kurang
bervariasi, sambil sekaligus tidak meningkatkan pendapatan yang dilaporkan selama periode tersebut. Ada beberapa faktor yang telah mendorong perusahaan dalam menjalankan praktek perataan
laba. Menurut Budiasih dan Igan, 2009:44-50 (Handayani, 2016), menemukan bukti bahwa perataan
laba dipengaruhi oleh ukuran perusahaan, profitabilitas dan deviden pay out (DPR). Menurut
(Agustianto, 2014), rasio keuangan juga diduga sebagai salah satu faktor yang mempengaruhi
tindakan perataan laba, rasio leverage sebagai proksi atas risiko keuangan terhadap perataan laba
digunakan dalam beberapa penelitian terdahulu. Hal ini diperkuat oleh pernyataan yang dikemukakan
oleh Kustini dan Ekawati, 2004 dalam Sindi dan Etna, 2011 yang menyatakan bahwa perusahaan
yang memiliki tingkat rasio yang tinggi mempunyai risiko yang tinggi pula, maka laba akan
berfluktuasi sehingga perusahaan cenderung untuk melakukan perataan laba agar laba perusahaan
terlihat stabil, karena investor cenderung mengamati fluktuasi laba suatu perusahaan. Perataan Laba Menurut Belkaoui, 2006:73 (Handayani, 2016), perataan laba adalah pengurangan fluktuasi
laba dari tahun ke tahun dengan memindahkan pendapatan dari tahun-tahun yang tinggi
pendapatannya ke periode-periode yang kurang menguntungkan. Lebih lanjut dijelaskan bahwa
perataan laba sebagai fenomena proses manipulasi profil waktu dari pendapatan atau laporan laba
menjadi kurang bervariasi, sambil sekaligus tidak meningkatkan pendapatan yang dilaporkan selama
periode tersebut. Menurut Hasen dan Mowen, (Faisal, 2017) mengatakan bahwa perataan laba didefinisikan
sebagai upaya yang secara sengaja dilakukan untuk memperkecil fluktuasi pada tingkat laba yang
dianggap normal bagi perusahaan, dengan kata lain, perataan laba atau dikenal dengan istilah income
smoothing didefinisikan sebagai sebuah praktik dengan menggunakan teknik-teknik akuntansi untuk
mengurangi fluktuasi laba bersih setelah beberapa periode waktu. Perataan Laba diuji dengan indeks Eckel (1981) (Bestivano, 2013). Eckel menggunakan
Coefficient Variation (CV) variabel penghasilan dan variabel penghasilan bersih. Untuk menentukan
kelompok perusahaan yang melakukan tindakan perataan laba dan yang tidak melakukan perataan
laba. Adapun perhitungan indeks eckel dirumuskan sebagai berikut : p
p
g
Indeks Perataan Laba =
Keterangan: Indeks Perataan Laba = Keterangan: Keterangan: I = perubahan laba dalam suatu periode. I = perubahan laba dalam suatu periode. S=perubahan pendapatan bersih dalam suatu periode. Cv=koefisien variasi dari variabel. Yaitu standar deviasi dibagi dengan nilai rata-rata yang
diharapkan. =koefisien variasi dari variabel. Yaitu standar deviasi dibagi dengan nilai rata-rata yang
diharapkan. PENDAHULUAN Return On Assets merupakan salah satu bentuk rasio profitabilitas yang digunakan untuk
mengukur kemampuan perusahaan dengan keseluruhan dana yang ditanamkan dalam aktiva yang
digunakan untuk operasi perusahaan dalam menghasilkan keuntungan. Perataan laba dapat dipengaruhi oleh beberapa faktor. Banyak penelitian empiris terdahulu
yang telah menguji faktor-faktor tersebut. Faisal (2017) meneliti Net Profit Margin, Return On Asset,
dan Leverage Ratio terhadap perataan laba. Penelitian tersebut dapat membuktikan bahwa faktor-
faktor tersebut berpengaruh terhadap perataan laba. Penelitian lain mengenai perataan laba dilakukan
oleh Hartanza Putra Hutamanjaya (2019). Hartanza Putra Hutamanjaya (2019) menguji pengaruh
faktor-faktor Finance Leverage, ukuran perusahaan, profitabilitas dan kepemilikan manajerial
terhadap praktik perataan laba. Hasil yang diperoleh adalah bahwa finance leverage dan ukuran
perusahaan berpengaruh terhadap perataan laba sedangkan profitabilitas dan kepemilikan manajerial
tidak berpengaruh terhadap perataan laba. Penelitian terhadap perataan laba di Indonesia masih sangat penting untuk diteliti, karena
perataan laba sendiri dapat merugikan pihak-pihak yang berkepentingan terhadap perusahaan seperti
investor maupun pemakai laporan keuangan. Oleh karena itu, jika perataan laba terdapat pada
perusahaan publik di Indonesia, maka praktik itu akan menimbulkan kerugian yang semakin besar
bagi pihak-pihak yang berkepentingan. Hal ini karena informasi yang terdapat di dalam laporan
keuangan sangat mempengaruhi pihak-pihak yang berkepentingan dalam proses pengambilan
keputusan. Belum konsistennya hasil penelitian satu sama lain dan juga alasan yang telah diuraikan diatas,
membuat peneliti tertarik untuk melakukan penelitian lebih lanjut terhadap faktor-faktor yang
berpengaruh terhadap perataan laba. Oleh karena itu, penelitian ini menguji pengaruh beberapa faktor
antara lain, Profitabilitas, Ukuran Perusahaan dan Risiko Keuangan terhadap Perataan Laba. Berdasarkan latar belakang diatas, maka penelitian ini mengambil judul : “Analisis Faktor-
Faktor Yang Berpengaruh Perataan Laba Pada Perusahaan Manufaktur Subsektor Makanan
Dan Minuman Yang Terdaftar Di Bursa Efek Indonesia”. ehubungan dengan keterbatasan waktu dan biaya, maka penelitian ini perlu diberi batasan
yaitu: 1. Peneliti hanya melakukan penelitian terhadap perataan laba pada perusahaan Perusahaa 1. Peneliti hanya melakukan penelitian terhadap perataan laba pada perusahaan Perusahaan
Manufaktur Subsektor Makanan Dan Minuman Yang Terdaftar Di Bursa Efek Indonesia. Manufaktur Subsektor Makanan Dan Minuman Yang Terdaftar Di Bursa Efek Indonesia. 2. Peneliti membatasi faktor-faktor hanya pada profitabilitas, ukuran perusahaan dan risiko
keuangan. Vol 3. No. 2. Desember 2022 http://jurnal.umb.ac.id/index.php/JAKTA/index 647 Sedangkan masalah yang akan dibahas dalam penelitian ini adalah: g
y
g
p
1.Apakah profitabilitas berpengaruh terhadap perataan laba? 3. Apakah ukuran perusahaan berpengaruh terhadap perataan laba? 3. Apakah ukuran perusahaan berpengaruh terhadap perataan laba? 4. Apakah risiko keuangan berpengaruh terhadap perataan laba? 4. TINJAUAN PUSTAKA
Laporan Keuangan Laporan Keuangan Menurut (Kasmir, 2008), laporan keuangan adalah laporan yang menunjukkan kondisi
keuangan perusahaan pada saat ini atau dalam suatu periode tertentu. Maksud laporan keuangan yang
menunjukkan kondisi perusahaan saat ini adalah merupakan kondisi terkini. M
j
L b Menurut National Association of Certified Fraud Examiners (Sulistyanto, 2004), manajemen
laba adalah kesalahan atau kelalaian yang disengaja dalam membuat laporan mengenai fakta material
atau data akuntansi sehingga menyesatkan ketika semua informasi itu dipakai untuk membuat
pertimbangan yang akhirnya akan menyebabkan orang yang membacanya akan menggati atau
mengubah pendapat atau keputusannya. g
p
p
p
y
Menurut Syafrudin, 2011:09 (Faisal, 2017), manajemen laba adalah suatu proses yang
dilakukan dengan sengaja dalam batasan general accepted accounting principles (GAAP) untuk
mengarah pada tingkatan laba yang dilaporkan. PENDAHULUAN Apakah risiko keuangan berpengaruh terhadap perataan laba? http://jurnal.umb.ac.id/index.php/JAKTA/index Klasifikasi Perataan Laba arnea et al, (Agustianto, 2014), mengemukakan bahwa tindakan perataan laba dapat dilakukan
3 cara yaitu: y
1. Perataan melalui waktu terjadinya transaksi atau j
y
2. pengakuan transaksi (smoothing through event strategic management occurance or
recognition). Perataan laba dilakukan dengan cara mengatur waktu transaksi aktual
sehingga dapat mengurangi fluktuasi pendapatan yang dilaporkan. 3. Perataan melalui alokasi waktu (smoothing through allocation over time) manajemen
memiliki kewenangan untuk mengalokasikan pendapatan atau beban dalam periode
keuangan yang berbeda dalam rangka melakukan perataan laba. 4. Perataan laba melalui klasifikasi (classificatory smoothing) manajemen perusahaan
melakukan rataan laba dengan cara mengklasifikasikan item-item dalam laba
erjadinya Perataan Laba j
y
Menurut Harahap, 2013:249 (Faisal, 2017), cara-cara yang dapat digunakan untuk melakukan
perataan laba adalah: 1. Melalui kejadian-kejadian dan pengakuan. Maksudnya untuk mengurangi fluktuasi laba
yang dilaporkan manajemen dapat mengatur suatu tindakan atas keputusan, misalnya yang
berkaitan dengan pelaksanaan penelitian dan pengembangan. berkaitan dengan pelaksanaan penelitian dan pengembangan. 2. Melalui alokasi. Manajemen melakukan perataan dengan mengalokasikan pendapatan atau
biaya selama beberapa periode pelaporan. biaya selama beberapa periode pelaporan. 3. Melalui klasifikasi. Manajemen melakukan perataan dengan mengklasifikasi laba sebagai
ordinary atau extra ordinary item. 5.
Ancaman pergantian manajer. 5. Ancaman pergantian manajer. http://jurnal.umb.ac.id/index.php/JAKTA/index ISSN: 2723-1399
e-ISSN: 2723-1488
JURNAL AKUNTANSI KEUANGAN DAN TEKNOLOGI INFORMASI AKUNTANSI
Available online at: http://jurnal.umb.ac.id/index.php/JAKTA
DOI: https://doi.org/10.36085/jakta.v2i1 4. Meningkatkan persepsi pihak eksternal terhadap kemampuan manajemen. Sasaran Perataan Laba Foster dalam Zuhro, 1996 (Putri, 2008), mengklasifikasikan unsur-unsur laporan keuanga
seringkali menjadi sasaran untuk melakukan perataan laba (income smoothing) adalah: Foster dalam Zuhro, 1996 (Putri, 2008), mengklasifikasikan unsur-unsur laporan keuanga
seringkali menjadi sasaran untuk melakukan perataan laba (income smoothing) adalah: 1. Unsur penjualan
a. Saat pembuatan faktur, misalnya penjualan yang sebenarnya untuk periode yang akan
datang, pembuatan fakturnya dilakukan pada periode ini dan dilaporkan sebagai penjualan
periode ini. b. Pembuatan pesanan atau penjualan fiktif. b. Pembuatan pesanan atau penjualan fiktif. c. Penurunan (downgrading) produk, misalnya dengan cara mengklasifikasikan produk yang
belum masuk ke dalam produk rusak dan selanjutnya dilaporkan telah terjual dengan harga
yang lebih rendah dari harga yang sebenarnya. y
g
g y
g
y
2. Unsur biaya
a.Memecah-mecah faktur, misalnya faktur untuk sebuah pembelian pesanan dipecah
menjadi beberapa pembelian atau pesanan dan selanjutnya dibuatkan beberapa faktur
dengan tanggal yang berbeda kemudian dilaporkan dalam beberapa periode akuntansi. b.Mencatat biaya dibayar dimuka (prepayment) sebagai biaya. Misalnya melaporkan biaya
advertensi dibayar dimuka untuk tahun depan sebagai biaya advertensi tahun ini. Tujuan Perataan Laba Menurut Foster, (Bestivano, 2013), tujuan perusahaan melakukan perataan laba adalah sebagai j
Menurut Foster, (Bestivano, 2013), tujuan perusahaan melakukan perataan laba adalah sebagai
rikut: 1. Memperbaiki citra perusahaan dimata pihak luar, bahwa perusahaan tersebut memiliki
resiko yang rendah. 2. Memberikan informasi yang relevan dalam melakukan prediksi terhadap laba di mas
yang akan datang. 3. Meningkatkan kepuasan relasi bisnis. 3. Meningkatkan kepuasan relasi bisnis. Vol 3. No. 2. Desember 2022
648 Vol 3. No. 2. Desember 2022
648 http://jurnal.umb.ac.id/index.php/JAKTA/index Vol 3. No. 2. Desember 2022
648 http://jurnal.umb.ac.id/index.php/JAKTA/index 648 y
p
Faktor-Faktor yang Mempengaruhi Perataan Laba y
g
p
g
Budiasih, 2013:5 (Faisal, 2017), mengatakan bahwa perataan laba dilakukan oleh perusahaan
dalam rangka promosi harga jual saham perusahaan pada investor (pemilik saham). Keberhasilan
pemerataan laba bergantung pada faktor-faktor sebagai berikut: Budiasih, 2013:5 (Faisal, 2017), mengatakan bahwa perataan laba dilakukan oleh perusahaan
dalam rangka promosi harga jual saham perusahaan pada investor (pemilik saham). Keberhasilan
pemerataan laba bergantung pada faktor-faktor sebagai berikut: 1. Ukuran perusahaan baik atau tidak baik dimata pemegang saham dan pihak lain. 1. Ukuran perusahaan baik atau tidak baik dimata pemegang saham dan pihak lain. 2
Profitabilitas yaitu suatu ukuran dalam persentasi yang digunakan untuk menil 1. Ukuran perusahaan baik atau tidak baik dimata pemegang saham dan pihak lain. 2. Profitabilitas, yaitu suatu ukuran dalam persentasi yang digunakan untuk menilai sejauh
mana perusahaan mampu menghasilkan laba pada tingkat yang dapat diterima angka
profitabilitas dinyatakan dalam angka laba sebelum atau sesudah pajak, laba investasi,
pendapatan persaham, dan laba penjualan. Vol 3. No. 2. Desember 2022 http://jurnal.umb.ac.id/index.php/JAKTA/index 649 3. Sektor industri, yakni suatu usaha yang bergerak dalam bidang pengelolaan bahan mentah
menjadi bahan jadi, dan setengah jadi. j
j
g
j
4. Rencana bonus, adalah rencana pemberian bonus yang diberikan pada periode tertentu. 4. Rencana bonus, adalah rencana pemberian bonus yang diberikan pada periode tertentu. 5. Kebangsawanan, yakni tingkatan masyarakat dalam suatu bangsa. ntungan Adanya Perataan Laba Budiasih, 2013:12 (Faisal, 2017), mengungkapkan alasan manajemen diuntungkan denga
ya praktik perataan laba, yaitu: 1. Skema konvensasi manajemen dihubungkan dengan kinerja perusahaan yang disajikan
dalam laba akuntansi yang dilaporkan, 2. Fluktuasi dalam kinerja manajemen dapat berakibat intervensi pemilik untuk mengganti
manajemen dengan cara pengambialihan atau penggantian manajemen langsung. Profitabilitas Profitabilitas merupakan alat ukur kesuksesan sebuah perusahaan yang utama. Benar,
profitabilitas penting untuk kelangsungan hidup sebuah perusahaan. Pengambilan atas ekuitas merupakan ukuran profitabilitas yang sering digunakan (Robert
Libby, 2008). Profitabilitas menunjukkan kemampuan perusahaan memperoleh laba dalam
hubungannya dengan penjualan, total aktiva, maupun modal sendiri (Winarni, 2005). T j
d
f
t
i
fit bilit
t (H
2015)
k
l
h g
y
g
p
j
p
Tujuan dan manfaat rasio profitabilitas menurut (Hery, 2015) secara keseluruhan: 1. Untuk mengukur kemampuan perusahaan dalam menghasilkan laba selama periode
tertentu. 2. Untuk menilai posisi laba perusahaan tahun sebelumnya dengan tahun sekarang. 2. Untuk menilai posisi laba perusahaan tahun sebelumnya dengan tahun se p
p
y
3. Untuk menilai perkembangan laba dari waktu ke waktu. k menilai perkembangan laba dari waktu ke wakt 4. http://jurnal.umb.ac.id/index.php/JAKTA/index y
p
Faktor-Faktor yang Mempengaruhi Perataan Laba Untuk mengukur seberapa besar jumlah laba bersih yang akan dihasilkan dari setiap rupiah
dana yang tertanam dalam total aset. 5. Untuk mengukur seberapa besar jumlah laba bersih yang akan dihasilkan dari setiap rupia
dana yang tertanam dalam total ekuitas. 6. Untuk mengukur margin laba kotor atas penjualan bersih. 7. Untuk mengukur margin laba operasional atas penjualan bersih. 8. Untuk mengukur margin laba bersih atas penjualan bersih. Jenis-jenis rasio profitabilitas menurut (Hery, 2015) sebagai berikut: 8. Untuk mengukur margin laba bersih atas penjualan bersih. 8. Untuk mengukur margin laba bersih atas penjualan bersih. Jenis jenis rasio profitabilitas menurut (Hery 2015) sebagai berikut: s-jenis rasio profitabilitas menurut (Hery, 2015) sebagai berikut: 1. Hasil Pengembalian Atas Aset (Return on Assets)
Rumus : Return on Assets =
x 100% 2. Hasil Pengembalian Atas Ekuitas (Return on Equity)
Rumus: Return on Equity = 3. Margin Laba Kotor (Gross Profit Margin)
Rumus: Gross Profit Margin = 4. Margin Laba Operasional (Operating Profit Margin)
Rumus: Operating Profit Margin = 5. Margin Laba Bersih (Net Profit Margin)
Rumus : Net Profit Margin = g
(
f
g )
Rumus : Net Profit Margin = Hipotesis p
Adapun hipotesis penelitan sebagai berikut: Adapun hipotesis penelitan sebagai berikut: p
p
p
g
H1: Diduga profitabilitas berpengaruh positif terhadap perataan laba . H1: Diduga profitabilitas berpengaruh positif terhadap perataan laba . H2: Diduga ukuran perusahaan berpengaruh positif terhadap perataan laba H2: Diduga ukuran perusahaan berpengaruh positif terhadap perataan laba
H : Diduga risiko keuangan berpengaruh positif terhadap perataan laba H3: Diduga risiko keuangan berpengaruh positif terhadap perataan laba METODELOGI PENELITIAN Objek dalam penelitian ini adalah Perusahaan Manufaktur Subsektor Makanan Dan Minuman
Yang
Terdaftar
Di
Bursa
Efek
Indonesia. Populasi dalam penelitian ini adalah seluruh perusahaan manufaktur sub sektor makanan dan
minuman yang terdaftar di Bursa Efek Indonesia ,sedangkan penarikan sampelnya menggunakan
dalam penelitian metode purposive sampling dengan kriteria tertentu. Adapun kriteria pengambilan
sampel adalah sebagai berikut: Objek dalam penelitian ini adalah Perusahaan Manufaktur Subsektor Makanan Dan Minuman
Yang
Terdaftar
Di
Bursa
Efek
Indonesia. Populasi dalam penelitian ini adalah seluruh perusahaan manufaktur sub sektor makanan dan
minuman yang terdaftar di Bursa Efek Indonesia ,sedangkan penarikan sampelnya menggunakan
dalam penelitian metode purposive sampling dengan kriteria tertentu. Adapun kriteria pengambilan
sampel adalah sebagai berikut: Yang 1. Perusahaan bidang manufaktur sub sektor makanan dan minuman yang terdaftar di bursa
efek Indonesia dibawah tahun 2015-2020. 1. Perusahaan bidang manufaktur sub sektor makanan dan minuman yang terdaftar di bursa
efek Indonesia dibawah tahun 2015-2020. 2. Menyediakan laporan keuangan yang berisi informasi lengkap, pada periode pengamatan
tahun 2015-2020. 3. Perusahaan bidang manufaktur sub sektor makanan dan minuman yang selalu mendapatkan
laba pada periode pengamatan. laba pada periode pengamatan. laba pada periode pengamatan. nik Analisis Data
ik
li i d l
li i b i i d l h
i li i
b
d
P
d l h Ukuran Perusahaan Ukuran perusahaan yang lebih besar cenderung akan lebih kritis mendapatkan perhatian baik
dari para analisis, investor maupun pemerintah. Perusahaan besar akan menghindari fluktuasi laba
yang drastis dengan melakukan tindakan perataan laba, karena perusahaan nantinya akan dibebani
pajak yang besar dan meminimalisir resiko yang kemungkinan akan terjadi (Putra, 2015). Ukuran perusahaan merupakan salah satu variabel yang mempengaruhi perataan laba (income
smoothing). Di Indonesia sendiri banyak berdiri perusahaan-perusahaan baik yang berukuran besar
maupun kecil. Perusahaan besar terutama yang sudah go publik cenderung lebih berhati-hati dalam Vol 3. No. 2. Desember 2022
650 Vol 3. No. 2. Desember 2022
650 650 melakukan pelaporan keuangan. Hal tersebut berdampak pada semakin sedikit kemungkinan
perusahaan tersebut menjalankan perataan laba. Perhatian yang besar dari masyarakat luas
menyebabkan manajemen perusahaan bersikap hati-hati dalam melakukan pelaporan keuangan (Ina
Setyaningtyas, 2014). melakukan pelaporan keuangan. Hal tersebut berdampak pada semakin sedikit kemungkinan
perusahaan tersebut menjalankan perataan laba. Perhatian yang besar dari masyarakat luas
menyebabkan manajemen perusahaan bersikap hati-hati dalam melakukan pelaporan keuangan (Ina
Setyaningtyas, 2014). y
g y
Menurut (Agustianto, 2014), ukuran perusahaan dihitung dengan skala rasio dimana
pengukuran menggunakan logaritma natural dari total asset yang didapat dari laporan posisi
keuangan sebuah perusahaan. Risiko Keuangan Menurut Tarjo dan Sulistyowati, 2005 (Sudarsi, 2012), leverage merupakan perbandingan
antara hutang dan aktiva yang menunjukkan berapa bagian aktiva yang digunakan untuk menjamin
hutang. Sehingga secara sistematis leverage ratio (total debt to asset ratio) dapat dirumuskan sebagai
berikut: Lev =
x 100%
Gambar
Kerangka Pemikiran
Hipotesis
d
hi
i
li
b
i b ik
Perataan Laba
(Y)
Risiko Keuangan
(X₃)
Ukuran Perusahaan
(X₂)
Profitabilitas
(X₁) Gambar
Kerangka Pemikiran Profitabilitas
(X₁) Perataan Laba
(Y) Ukuran Perusahaan
(X₂) Risiko Keuangan
(X₃) Teknik Analisis Data eknik Analisis Data
eknik analisis dalam penelitiab ini adalah regresi linier berganda . Persamaan umumnya adalah: eknik analisis dalam penelitiab ini adalah regresi linier berganda . Persamaan umumnya adalah: p
Y = α + β₁X₁ + β₂X₂ + .... + βnXn Y = α + β₁X₁ + β₂X₂ + .... + βnXn
Keterangan:
Y = perataan laba Y = perataan laba Vol 3. No. 2. Desember 2022
651 Vol 3. No. 2. Desember 2022
651 Vol 3. No. 2. Desember 2022 http://jurnal.umb.ac.id/index.php/JAKTA/index Vol 3. No. 2. Desember 2022
651 http://jurnal.umb.ac.id/index.php/JAKTA/index 651 ISSN: 2723-1399
e-ISSN: 2723-1488
JURNAL AKUNTANSI KEUANGAN DAN TEKNOLOGI INFORMASI AKUNTANSI
Available online at: http://jurnal.umb.ac.id/index.php/JAKTA
DOI: https://doi.org/10.36085/jakta.v2i1
α = konstanta
β = koefisien regresi
X₁ = profitabilitas
X₂ = ukuran perusahaan
X₃ = risiko keuangan
HASIL PENELITIAN
Uji Normalitas
Tabel 4.31
Uji Normalitas
Sumber: data sekunder yang diolah dengan SPSS
B d
k
t b l
t
t SPSS di t
dik t h i b h
il i i
ifik
i A t
Si (2 t il d) L X1
One-Sample Kolmogorov-Smirnov Test
Ln_X1
Ln_X2
Ln_X3
Ln_y
N
65
65
65
65
Normal Parametersa Mean
1.8918
2.1720
3.5209
1.5844
Std. Deviation
.79258
1.38268
.75218
1.39724
Most Extreme
Differences
Absolute
.169
.222
.288
.135
Positive
.119
.192
.183
.135
Negative
-.169
-.222
-.288
-.128
Kolmogorov-Smirnov Z
1.364
1.787
2.318
1.092
Asymp. Sig. (2-tailed)
.058
.063
.062
.184
a. Test distribution is Normal. Uji Normalitas
Tabel 4.31
Uji Normalitas
Sumber: data sekunder yang diolah dengan SPSS
One-Sample Kolmogorov-Smirnov Test
Ln_X1
Ln_X2
Ln_X3
Ln_y
N
65
65
65
65
Normal Parametersa Mean
1.8918
2.1720
3.5209
1.5844
Std. Deviation
.79258
1.38268
.75218
1.39724
Most Extreme
Differences
Absolute
.169
.222
.288
.135
Positive
.119
.192
.183
.135
Negative
-.169
-.222
-.288
-.128
Kolmogorov-Smirnov Z
1.364
1.787
2.318
1.092
Asymp. Sig. (2-tailed)
.058
.063
.062
.184
a. Test distribution is Normal. Tabel 4.31
Uji Normalitas Berdasarkan tabel output SPSS diatas, diketahui bahwa nilai signifikansi Astmp. Sig (2-tailed) Ln X1
sebesar 0,058 ˃ 0,05,
Ln X2 sebesar 0,063 ˃ 0,05, Ln X3 sebesar 0,062 ˃ 0,05, dan Ln y sebesar
0,184 ˃ 0,05. Maka sesuai dengan dasar pengambilan keputusan dalam Uji Normalitas Kolmogorov-
Smirnov Test diatas, dapat disimpulkan bahwa data berdistribusi normal. Dengan demikian, asumsi
atau persyaratan normalitas dalam model regresi sudah terpenuhi. j
Tabel
Uji Autokorelasi
Model Summaryb
Model
R
R Square
Adjusted R
Square
Std. http://jurnal.umb.ac.id/index.php/JAKTA/index Teknik Analisis Data Error of
the Estimate Durbin-Watson
1
.292a
.085
.040
1.36893
2.238
a. Predictors: (Constant), Ln_X3, Ln_X2, Ln_X1
b. Dependent Variable: Ln_y
Sumber: data sekunder yang diolah dengan SPSS
Berdasarkan tabel output SPSS diatas, diketahui bahwa nilai Durbin Watson (DW) sebesar
2,238. Selanjutnya nilai ini akan kita bandingkan dengan nilai tabel Durbin Watson signifikansi 5%
dengan rumus (K;N). Adapun jumlah variabel independen adalah 3 atau “K” = 3, sementara jumlah
sampel atau “N” = 65, maka (K;N) = (3;65). Angka ini kemudian kita lihat pada distribusi nilai tabel
Durbin Watson. Maka ditemukan nilai dl sebesar 1,503 dan du sebesar 1,696. Tabel
Uji Autokorelasi
Model Summaryb
Model
R
R Square
Adjusted R
Square
Std. Error of
the Estimate Durbin-Watson
1
.292a
.085
.040
1.36893
2.238
a. Predictors: (Constant), Ln_X3, Ln_X2, Ln_X1
b D
d
V i bl
L b. Dependent Variable: Ln_y p
y
Sumber: data sekunder yang diolah dengan SPSS y
g
g
Berdasarkan tabel output SPSS diatas, diketahui bahwa nilai Durbin Watson (DW) sebesar
2,238. Selanjutnya nilai ini akan kita bandingkan dengan nilai tabel Durbin Watson signifikansi 5%
dengan rumus (K;N). Adapun jumlah variabel independen adalah 3 atau “K” = 3, sementara jumlah
sampel atau “N” = 65, maka (K;N) = (3;65). Angka ini kemudian kita lihat pada distribusi nilai tabel
Durbin Watson. Maka ditemukan nilai dl sebesar 1,503 dan du sebesar 1,696. Berdasarkan tabel output SPSS diatas, diketahui bahwa nilai Durbin Watson (DW) sebesar
2,238. Selanjutnya nilai ini akan kita bandingkan dengan nilai tabel Durbin Watson signifikansi 5%
dengan rumus (K;N). Adapun jumlah variabel independen adalah 3 atau “K” = 3, sementara jumlah
sampel atau “N” = 65, maka (K;N) = (3;65). Angka ini kemudian kita lihat pada distribusi nilai tabel
Durbin Watson. Maka ditemukan nilai dl sebesar 1,503 dan du sebesar 1,696. Vol 3. No. 2. Desember 2022
652 Vol 3. No. 2. Desember 2022
652 http://jurnal.umb.ac.id/index.php/JAKTA/index Vol 3. No. 2. Desember 2022
652 652 ISSN: 2723-1399
e-ISSN: 2723-1488
JURNAL AKUNTANSI KEUANGAN DAN TEKNOLOGI INFORMASI AKUNTANSI
Available online at: http://jurnal.umb.ac.id/index.php/JAKTA
DOI: https://doi.org/10.36085/jakta.v2i1 ISSN: 2723-1399
e-ISSN: 2723-1488
JURNAL AKUNTANSI KEUANGAN DAN TEKNOLOGI INFORMASI AKUNTANSI
Available online at: http://jurnal.umb.ac.id/index.php/JAKTA
DOI: https://doi.org/10.36085/jakta.v2i1
Nilai Durbin Watson sebesar 2,238 lebih besar dari batas atas (du) yakni 1,696 dan kurang dari
(4-du) 4-1,696 = 2,304. Maka sebagian dasar pengambilan keputusan dalam uji Durbin Watson diatas,
dapat disimpulkan bahwa tidak terdapat masalah atau gejala autokorelasi. Teknik Analisis Data Dengan demikian, maka
analisis regresi linier berganda untuk uji hipotesis penelitian diatas dapat dilakukan atau dilanjutkan. Uji Multikolinearitas Nilai Durbin Watson sebesar 2,238 lebih besar dari batas atas (du) yakni 1,696 dan kurang dari
(4-du) 4-1,696 = 2,304. Maka sebagian dasar pengambilan keputusan dalam uji Durbin Watson diatas,
dapat disimpulkan bahwa tidak terdapat masalah atau gejala autokorelasi. Dengan demikian, maka
analisis regresi linier berganda untuk uji hipotesis penelitian diatas dapat dilakukan atau dilanjutkan. Uji Multikolinearitas Tabel
Uji Multikolineritas
Coefficientsa
Model
Collinearity Statistics
Tolerance
VIF
1
(Constant)
Ln_X1
.911
1.097
Ln_X2
.952
1.050
Ln_X3
.954
1.048
a. Dependent Variable: Ln_y
Sumber: data sekunder yang diolah dengan SPSS Tabel
Uji Multikolineritas
Coefficientsa p
y
Sumber: data sekunder yang diolah dengan SPSS p
y
Sumber: data sekunder yang diolah dengan SPSS Berdasarkan besaran Tolerance dan Variance Inflaction Factor (VIF) batasan umum yang
digunakan adalah Tolerance ˃ 0,10 dan nilai VIF ˂ 10, dari hasil output SPSS diatas besar Tolerance
(Ln X1 = 0,911 , Ln X2 = 0,952 dan Ln X3= 0,954) ˃ 0,10 dan VIF (Ln X1 = 1,097 Ln X2 = 1,050
dan Ln X3 = 1,048) ˂ 10. Maka dapat disimpulkan bahwa antar variabel bebas tidak terjadi
multikolinearitas. Uji Heterokedastisitas Uji Heterokedastisitas
Gambar 4.1
Uji Heterokedastisitas
Dari Scatterplot, terlihat pada titik-titik menyebar secara acak, tidak membentuk suatu pola tertentu
yang jelas, serta tersebar baik diatas maupun dibawah. Titik-titik tidak mengumpul hanya diatas atau
dibawah saja. Dengan demikian, dapat kita simpulkan bahwa tidak terjadi masalah heterokedastisitas,
hingga model regresi yang baik dan ideal dapat terpenuhi. j
Gambar 4.1
Uji Heterokedastisitas Gambar 4.1
Uji Heterokedastisitas Gambar 4.1
Uji Heterokedastisitas Gambar 4.1
Uji Heterokedastisitas Dari Scatterplot, terlihat pada titik-titik menyebar secara acak, tidak membentuk suatu pola tertentu
yang jelas, serta tersebar baik diatas maupun dibawah. Titik-titik tidak mengumpul hanya diatas atau
dibawah saja. Dengan demikian, dapat kita simpulkan bahwa tidak terjadi masalah heterokedastisitas,
hingga model regresi yang baik dan ideal dapat terpenuhi. Dari Scatterplot, terlihat pada titik-titik menyebar secara acak, tidak membentuk suatu pola tertentu
yang jelas, serta tersebar baik diatas maupun dibawah. Titik-titik tidak mengumpul hanya diatas atau
dibawah saja. Dengan demikian, dapat kita simpulkan bahwa tidak terjadi masalah heterokedastisitas,
hingga model regresi yang baik dan ideal dapat terpenuhi. http://jurnal.umb.ac.id/index.php/JAKTA/index Vol 3. No. 2. Teknik Analisis Data Desember 2022
653
Regresi Linier Berganda
Tabel
Regresi Linier Berganda
Coefficientsa Regresi Linier Berganda
Tabel
Regresi Linier Berganda
Coefficientsa Regresi Linier Berganda Tabel
Regresi Linier Berganda
Coefficientsa Tabel
Regresi Linier Berganda
Coefficientsa Coefficientsa Vol 3. No. 2. Desember 2022 Vol 3. No. 2. Desember 2022 http://jurnal.umb.ac.id/index.php/JAKTA/index 653 ISSN: 2723-1399
e-ISSN: 2723-1488
JURNAL AKUNTANSI KEUANGAN DAN TEKNOLOGI INFORMASI AKUNTANSI
Available online at: http://jurnal.umb.ac.id/index.php/JAKTA
DOI: https://doi.org/10.36085/jakta.v2i1
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig. B
Std. Error
Beta
1
(Constant)
.703
.824
.852
.397
Ln_X1
.426
.223
.244
1.912
.041
Ln_X2
.024
.286
.123
.084
.031
Ln_X3
.385
.233
.109
.867
.390
a. Dependent Variable: Ln_y
Sumber: data sekunder yang diolah dengan SPSS p
y
Sumber: data sekunder yang diolah dengan SPSS Berdasarkan tabel output SPSS diatas, diperoleh persamaan regresi sebagai berikut: Berdasarkan tabel output SPSS diatas, diperoleh persamaan regresi β
β
βn
n
Y = 0,703 + 0,426 + 0,024 + 0,385 Dari hasil persamaan regresi berganda tersebut, masing-masing variabel bebas dapat
diinterprestasikan pengaruhnya terhadap perataan laba sebagai berikut: 1. Konstanta sebesar 0,703 menunjukkan bahwa meskipun tidak ada return on aset, ukuran
perusahaan, dan leverage ratio tingkat perataan laba tetap ada sebesar 0,703. 1. Konstanta sebesar 0,703 menunjukkan bahwa meskipun tidak ada return on aset, ukuran
perusahaan, dan leverage ratio tingkat perataan laba tetap ada sebesar 0,703. 2. Koefisien regresi return on aset sebesar 0,426 artinya setip pertambahan return on aset sebesar
1% jika variabel lainnya dianggap konstanta, maka akan menurukan tingkat perataan laba sebesar
0,426. 3. Koefisien ukuran perusahaan sebesar 0,024 artinya setiap pertambahan ukuran perusahaan
sebesar 1% jika variabel lainnya dianggap konstanta, maka akan menurunkan tingkat perataan
laba sebesar 0,024. 3. Koefisien ukuran perusahaan sebesar 0,024 artinya setiap pertambahan ukuran perusahaan
sebesar 1% jika variabel lainnya dianggap konstanta, maka akan menurunkan tingkat perataan
laba sebesar 0,024. 4. Koefisien leverage ratio sebesar 0,385 artinya setiap pertambahan leverage ratio sebesar 1%
jika variabel lainnya dianggap konstanta, maka akan menaikkan perataan laba sebesar 0,385. 4. Koefisien leverage ratio sebesar 0,385 artinya setiap pertambahan leverage ratio sebesar 1%
jika variabel lainnya dianggap konstanta, maka akan menaikkan perataan laba sebesar 0,385. j
y
Koefisien Determinasi (R²) Koefisien Determinasi (R²) Tabel
Koefisien Determinasi
Model Summaryb
Model
R
R Square
Adjusted R
Square
Std. Error of
the Estimate
1
.292a
.085
.040
1.36893
a. Predictors: (Constant), Ln_X3, Ln_X2, Ln_X1
b. Uji Simultan (Uji F) Uji Simultan (Uji F) p
y
Sumber: data sekunder yang diolah dengan SPSS Berdasarkan tabel output SPSS diatas, hasil uji F menunjukkan bahwa variabel return on aset,
ukuran perusahaan dan leverage ratio mempunyai tingkat signifikansi lebih besar dari 0,05 (0,140 ˃
0,05). Ini berarti bahwa Ha diterima dan Ho ditolak. Dengan demikian hasil analisis dalam penelitian
ini menunjukkan bahwa variabel independen yaitu return on aset, ukuran perusahaan dan leverage
ratio tidak terdapat pengaruh signifikansi secara simultan terhadap perataan laba pada perusahaan
manufaktur subsektor makanan dan minuman yang terdaftar di bursa efek indonesia periode 2015-
2020. Teknik Analisis Data Dependent Variable: Ln_y
Sumber: data sekunder yang diolah dengan SPSS
Berdasarkan tabel output SPSS diatas, menunjukkan bahwa nilai signifikan Ln X1 (Return On
Asset) terhadap Ln Y (perataan laba) adalah sebesar 0,041 ˂ 0,05 maka Ha ditolak dan Ho diterima,
artinya terdapat pengaruh signifikansi antara Ln X1 (return on aset) terhadap Ln Y (perataan laba). Berdasarkan tabel output SPSS diatas, menunjukkan bahwa nilai signifikan Ln X2 (ukuran
perusahaan) terhadap perataan laba adalah sebesar 0,031 ˂ 0,05 ini berari Ha ditolak dan Ho diterima,
artinya terdapat pengaruh signifikansi antara Ln X2 (ukuran perusahaan) terhadap Ln Y (perataan
aba). Berdasarkan tabel output SPSS diatas, menunjukkan bahwa nilai signifikan Ln X3 (leverage
ratio) terhadap Ln Y (perataan laba) adalah sebesar 0,390 ˃ 0,05 ini berarti Ha diterima dan Ho
ditolak, artinya tidak terdapat pengaruh signifikansi antara Ln X3 (leverage ratio) terhadap Ln Y
perataan laba). p
y
Sumber: data sekunder yang diolah dengan SPSS Sumber: data sekunder yang diolah dengan SPSS Berdasarkan tabel output SPSS diatas, menunjukkan bahwa nilai signifikan Ln X1 (Return On
Asset) terhadap Ln Y (perataan laba) adalah sebesar 0,041 ˂ 0,05 maka Ha ditolak dan Ho diterima,
artinya terdapat pengaruh signifikansi antara Ln X1 (return on aset) terhadap Ln Y (perataan laba). y
p
p
g
g
(
)
p
(p
)
Berdasarkan tabel output SPSS diatas, menunjukkan bahwa nilai signifikan Ln X2 (ukuran
perusahaan) terhadap perataan laba adalah sebesar 0,031 ˂ 0,05 ini berari Ha ditolak dan Ho diterima,
artinya terdapat pengaruh signifikansi antara Ln X2 (ukuran perusahaan) terhadap Ln Y (perataan
laba). Berdasarkan tabel output SPSS diatas, menunjukkan bahwa nilai signifikan Ln X3 (leverage
ratio) terhadap Ln Y (perataan laba) adalah sebesar 0,390 ˃ 0,05 ini berarti Ha diterima dan Ho
ditolak, artinya tidak terdapat pengaruh signifikansi antara Ln X3 (leverage ratio) terhadap Ln Y
(perataan laba). Uji Simultan (Uji F)
Tabel
Uji Simultan (Uji F)
ANOVAb
Model
Sum of
Squares
df
Mean Square
F
Sig. 1
Regression
10.634
3
3.545
1.892
.140a
Residual
114.313
61
1.874
Total
124.947
64
a. Predictors: (Constant), Ln_X3, Ln_X2, Ln_X1
b. Dependent Variable: Ln_y
Sumber: data sekunder yang diolah dengan SPSS KESIMPULAN Berdasarkan hasil penelitian maka dapat disimpulkan sebagai berikut: Teknik Analisis Data Dependent Variable: Ln_y
Sumber: data sekunder yang diolah dengan SPSS
Nilai R Square dari output SPSS diatas sebesar 0,017. Nilai R Square 0,085 ini berasal dari
pengkuadratan nilai koefisien korelasi atau “R” yaitu 0,292 x 0,292 = 0,085. Besarnya angka
koefisien determinasi (R Square) adalah 0,085 atau sama dengan 8,5%. Angka tersebut mengandung
arti bahwa variabel independen yang terdiri dari ROA, ukuran perusahaan dan leverage ratio mampu
menjelaskan variasi variabel dependen yaitu perataan laba sebesar 8,5%. Sedangkan sisanya (100%-
8,5% = 91,5%) dijelaskan oleh variabel lain yang tidak diteliti oleh peneliti lain. Uji Parsial (Uji t) Tabel
Koefisien Determinasi
Model Summaryb
Model
R
R Square
Adjusted R
Square
Std. Error of
the Estimate
1
.292a
.085
.040
1.36893
a. Predictors: (Constant), Ln_X3, Ln_X2, Ln_X1
b. Dependent Variable: Ln_y
Sumber: data sekunder yang diolah dengan SPSS Tabel
Koefisien Determinasi
Model Summaryb
Model
R
R Square
Adjusted R
Square
Std. Error of
the Estimate
1
.292a
.085
.040
1.36893
a. Predictors: (Constant), Ln_X3, Ln_X2, Ln_X1
b. Dependent Variable: Ln_y
Sumber: data sekunder yang diolah dengan SPSS Nilai R Square dari output SPSS diatas sebesar 0,017. Nilai R Square 0,085 ini berasal dari
pengkuadratan nilai koefisien korelasi atau “R” yaitu 0,292 x 0,292 = 0,085. Besarnya angka
koefisien determinasi (R Square) adalah 0,085 atau sama dengan 8,5%. Angka tersebut mengandung
arti bahwa variabel independen yang terdiri dari ROA, ukuran perusahaan dan leverage ratio mampu
menjelaskan variasi variabel dependen yaitu perataan laba sebesar 8,5%. Sedangkan sisanya (100%-
8,5% = 91,5%) dijelaskan oleh variabel lain yang tidak diteliti oleh peneliti lain. Uji P
i l (Uji t) Uji Parsial (Uji t) 654 http://jurnal.umb.ac.id/index.php/JAKTA/index ISSN: 2723-1399
e-ISSN: 2723-1488
JURNAL AKUNTANSI KEUANGAN DAN TEKNOLOGI INFORMASI AKUNTANSI
Available online at: http://jurnal.umb.ac.id/index.php/JAKTA
DOI: https://doi.org/10.36085/jakta.v2i1
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig. B
Std. Error
Beta
1
(Constant)
.703
.824
.852
.397
Ln_X1
.426
.223
.244
1.912
.041
Ln_X2
.024
.286
.123
.084
.031
Ln_X3
.385
.233
.109
.867
.390
a. Dependent Variable: Ln_y
Sumber: data sekunder yang diolah dengan SPSS ISSN: 2723-1399
e-ISSN: 2723-1488
JURNAL AKUNTANSI KEUANGAN DAN TEKNOLOGI INFORMASI AKUNTANSI
Available online at: http://jurnal.umb.ac.id/index.php/JAKTA
DOI: https://doi.org/10.36085/jakta.v2i1
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t
Sig. B
Std. Error
Beta
1
(Constant)
.703
.824
.852
.397
Ln_X1
.426
.223
.244
1.912
.041
Ln_X2
.024
.286
.123
.084
.031
Ln_X3
.385
.233
.109
.867
.390
a. URNAL AKUNTANSI KEUANGAN DAN TEKNOLOGI INFORMASI AKUNTA
Available online at: http://jurnal.umb.ac.id/index.php/JAKTA
DOI: https://doi.org/10.36085/jakta.v2i1 1. Hasil pengujian menunjukkan bahwa variabel Return On Asset (ROA) didapatkan nilai
signifikan sebesar 0,041 ˃ 0,05, ini berarti bahwa Ha ditolak dan Ho diterima, maka terdapat
pengaruh signifikan antara Return On Asset terhadap perataan laba. 1. Hasil pengujian menunjukkan bahwa variabel Return On Asset (ROA) didapatkan nilai
signifikan sebesar 0,041 ˃ 0,05, ini berarti bahwa Ha ditolak dan Ho diterima, maka terdapat
pengaruh signifikan antara Return On Asset terhadap perataan laba. p
g
g
p p
2. Hasil pengujian menunjukkan bahwa variabel ukuran perusahaan didapatkan nilai signifikan
sebesar 0,031 ˃ 0,05, ini berarti bahwa Ha ditolak dan Ho diterima, maka terdapat pengaruh
signifikan antara ukuran perusahaan terhadap perataan laba. p
g
g
p p
2. Hasil pengujian menunjukkan bahwa variabel ukuran perusahaan didapatkan nilai signifikan
sebesar 0,031 ˃ 0,05, ini berarti bahwa Ha ditolak dan Ho diterima, maka terdapat pengaruh
signifikan antara ukuran perusahaan terhadap perataan laba. g
p
p p
3. Hasil pengujian menunjukkan bahwa variabel Leverage Ratio didapatkan nilai signifikan
sebesar 0,390 ˃ 0,05, ini berarti bahwa Ha diterima dan Ho ditolak, maka tidak terdapat
pengaruh signifikan antara Leverage Ratio terhadap perataan laba. 3. Hasil pengujian menunjukkan bahwa variabel Leverage Ratio didapatkan nilai signifikan
sebesar 0,390 ˃ 0,05, ini berarti bahwa Ha diterima dan Ho ditolak, maka tidak terdapat
pengaruh signifikan antara Leverage Ratio terhadap perataan laba. 4. Hasil pengujian hipotesis secara simultan diperoleh bahwa nilai Fsig sebesar 0,140 ˃ 0,05,
sehingga return on asset (roa), ukuran perusahaan dan leverage ratio secara simultan tidak
terdapat pengaruh signifikan terhadap perataan laba. Berdasarkan hasil penelitian ini, maka saran yang dapat diberikan adalah sebagai berikut: Berdasarkan hasil penelitian ini, maka saran yang dapat diberikan adalah sebagai berikut: 1. Diharapkan perusahaan dapat menyajikan informasi keuangan dengan tidak me
perataan laba. 1. Diharapkan perusahaan dapat menyajikan informasi keuangan dengan tidak me
perataan laba. p
Diharapkan investor lebih cermat dan teliti dalam mengambil keputusan sebelum berinvestasi. p
2. Diharapkan investor lebih cermat dan teliti dalam mengambil keputusan sebelum berinvestasi. 3. Diharapkan penilitian ini dapat menjadi referensi bagi peneliti selanjutnya dengan
menambahkan variabel-variabel lain yang dapat mempengaruhi perataan laba. iharapkan penilitian ini dapat menjadi referensi bagi peneliti selanjutnya dengan
menambahkan variabel-variabel lain yang dapat mempengaruhi perataan laba. 3. Diharapkan penilitian ini dapat menjadi referensi bagi peneliti selanjutnya dengan
menambahkan variabel-variabel lain yang dapat mempengaruhi perataan laba. http://jurnal.umb.ac.id/index.php/JAKTA/index http://jurnal.umb.ac.id/index.php/JAKTA/index Vol 3. No. 2. Desember 2022 655 ISSN: 2723-1399
e-ISSN: 2723-1488 DAFTAR PUSTAKA gustianto, R. N. (2014). Analisis Faktor-Faktor Yang Berpengaruh Terhadap Perataan Laba. Amanza, A. H. (2012). Analisis Faktor-Faktor Yang Mempengaruhi Praktik Perataan Laba (Income
Smoothing). Ardiansyah, G. (2020, November). GuruAkuntansi.co.id. Bestivano, W. (2013). Pengaruh Ukuran Perusahaan, Umur Perusahaan, Profitabilitas, dan
Leverage Terhadap Perataan Laba pada Perusahaan yang Terdaftar di BEI. udi Susetyo, M. (2010). Statistika Untuk Analisis Data Penilitian. Bandung: PT Refika Aditama Darmawan, R. (2013). peran battra dalam penunukanngobatan tradisional pada komunitas dayak
agabag di kecamatan lumbis kabupaten. e-jurnal sosiatri-sosiologi. Eko Budi Santoso, d. (2012). Pengaruh Profitabilitas, Financial Leverage, Dividen, Ukuran
Perusahaan, Kepemilikan Institusional, dan Kelompok Usaha Terhadap Perataan Laba . Pengaruh Profitabilitas, Financial Laverage, 188. Ermitati. (2014). Pengungkapan budaya suku anak dalam melalui kosakata bahasa kubu. Kand Faisal. (2017). Analisi Faktor-Faktor Yang Mempengaruhi Praktik Perataan Laba (Income
Smoothing) Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia (BEI)
Periode 2010-2014. Handayani, S. (2016). Analisis Faktor-Faktor Yang Berpengaruh Terhadap Perataan Laba. Jurnal
Penelitian Ekonomi dan Akuntansi, 1(3), 226. Hans Kartikahadi, d. (2016). Akuntansi Keuangan Berdasarkan SAK Berbasis IFRS. Hery. (2015). Analisis Laporan Keuangan. Yogyakarta: CAPS (Center for Academic Publishing
Service). Hugiono. (1992). Pengantar Ilmu Sejarah. jakarta: Rineka Cipta. Hugiono. (1992). Pengantar Ilmu Sejarah. jakarta: Rineka Cipta. Ina Setyaningtyas, B. H. (2014). Analisis Faktor-Faktor Yang Mempengaruhi Perataan Laba (Income
Smoothing). Diponegoro Journal Of Accounting, 03(02), 1. g
g
j
j
p
Ina Setyaningtyas, B. H. (2014). Analisis Faktor-Faktor Yang Mempengaruhi Perataan Laba (Income
Smoothing). Diponegoro Journal Of Accounting, 03(02), 1. g
p
g
f
g
Juarsih, D. d. (2014). kegiatan pembelajaran yang mendidik. jakarta: Rineka Cipta. g
p
j
y
g
j
p
K, E. P. (2016). Olah Data Skripsi Dengan SPSS 22. Bangka Belitung: Lab Kom Manajemen FE
UBB. Muhammad Rifky Santoso, W. (2014). Analisis Laporan Keuangan dan SPT. Nurdin, M. &. (2013). Kehidupan keagamaan suku anak dalam didusun senami Iii desa jebak
kabupaten batang hari jambi. Kontekstualita, 152-153. Pohan, D. M. (2008). Pengaruh Laba. Vol 3. No. 2. Desember 2022
656 http://jurnal.umb.ac.id/index.php/JAKTA/index Vol 3. No. 2. Desember 2022 656 ISSN: 2723-1399
e-ISSN: 2723-1488 ISSN: 2723-1399
e-ISSN: 2723-1488 DOI: https://doi.org/10.36085/jakta.v2i1 Pratama, D. F. (2012). Profitabilitas, Resiko Keuangan, Nilai Perusahaan, Struktur Kepemilikan dan
Dividend Payout Ratio Terhadap Perataan Laba. Jurnal Akuntansi & Investasi, 35. Putra, I. K. (2015). Pengaruh Profitabilitas, Leverage, Ukuran Perusahaan, Kepemilikan Publik,
Dividend Payout Ratio dan Net Profit Margin pada Perataan Laba. Jurnal Akuntansi
Universitas Udayana, 604. y
H. A. (2008). Analisis Pengaruh Faktor Ukuran Perusahaan, Profitabilitas dan Leverage
Terhadap Income Smoothing . Rahmawati, D., & Muid, D. (2012). Analisis Faktor-Faktor Yang Berpengaruh Terhadap Prakti
Perataan Laba. Diponegoro Journal Of Accounting, 1(2), 1. Robert Libby, d. (2008). Akuntansi Keuangan. Yogyakarta : Andi. Robert Libby, d. (2008). Akuntansi Keuangan. Yogyakarta : Andi. (2008). Akuntansi Keuangan. Yogyakarta : And Saskara, I. K. (2016). seni pengobatan tradisional tradisional sebagai pariwisata alternstif di desa selat
kecamatan abiansemal kabupaten bandung. e-jurnal. Sudarsi, L. K. (2012). Pengaruh Ukuran Perusahaan, Profitabilitas, Leverage, dan Kepemilikan
Instutisional Terhadap Perataan Laba. Dinamika Akuntansi, Keuangan dan Perbankan, 1. S
i
(2011)
t d
liti
k
tit tif k
lit tif d
R&D B
d
Alf b t g y
g
sugiyono. (2015). metode penelitian pendidikan pendekatan kuantitatif, kualitatif, dan R&D. Jakarta:
Alfabeta. Sugiyono. (2017). metode penelitian kuantitatif, kualitatif dan R&D. BANDUNG: Alfabeta. Sulistyanto, H. S. (2004). Manajemen Laba Teori dan Model Empiris. Semarang. Supriyanto. (2010). Iliran dan uluan dikotami dan dinamika dalam sejarah kultur palembang. Palembang: Eja Publiner. Triratnawati, A. (2010). pengobatan tradisional upaya meminimalkan biaya kesehatan masyarakat
desa di jawa. e-jurnal, 69. Warsita, B. (2008). Teknologi Landasan Pembelajaran Dan Aplikasi. jakarta: Rineka Cipta. Winarni, E. W. (2018). Teori dan Praktik Penelitian Kuantitatif Kualitatif. Jakarta: Bumi Aksa Winarni, G. S. (2005). Manajemen Keuangan. Yogyakarta : Media Pressindo. Vol 3. No. 2. Desember 2022 657 http://jurnal.umb.ac.id/index.php/JAKTA/index http://jurnal.umb.ac.id/index.php/JAKTA/index http://jurnal.umb.ac.id/index.php/JAKTA/index
|
https://openalex.org/W2061285938
|
https://europepmc.org/articles/pmc3760854?pdf=render
|
English
| null |
Predicting Binding within Disordered Protein Regions to Structurally Characterised Peptide-Binding Domains
|
PloS one
| 2,013
|
cc-by
| 8,388
|
Abstract Disordered regions of proteins often bind to structured domains, mediating interactions within and between proteins. However, it is difficult to identify a priori the short disordered regions involved in binding. We set out to determine if
docking such peptide regions to peptide binding domains would assist in these predictions.We assembled a redundancy
reduced dataset of SLiM (Short Linear Motif) containing proteins from the ELM database. We selected 84 sequences which
had an associated PDB structures showing the SLiM bound to a protein receptor, where the SLiM was found within a 50
residue region of the protein sequence which was predicted to be disordered. First, we investigated the Vina docking scores
of overlapping tripeptides from the 50 residue SLiM containing disordered regions of the protein sequence to the
corresponding PDB domain. We found only weak discrimination of docking scores between peptides involved in binding
and adjacent non-binding peptides in this context (AUC 0.58).Next, we trained a bidirectional recurrent neural network
(BRNN) using as input the protein sequence, predicted secondary structure, Vina docking score and predicted disorder
score. The results were very promising (AUC 0.72) showing that multiple sources of information can be combined to
produce results which are clearly superior to any single source.We conclude that the Vina docking score alone has only
modest power to define the location of a peptide within a larger protein region known to contain it. However, combining
this information with other knowledge (using machine learning methods) clearly improves the identification of peptide
binding regions within a protein sequence. This approach combining docking with machine learning is primarily a predictor
of binding to peptide-binding sites, and is not intended as a predictor of specificity of binding to particular receptors. Citation: Khan W, Duffy F, Pollastri G, Shields DC, Mooney C (2013) Predicting Binding within Disordered Protein Regions to Structurally Characterised Peptide-
Binding Domains. PLoS ONE 8(9): e72838. doi:10.1371/journal.pone.0072838
Edit
L k
K
U i
it
f Alb
t
C
d Editor: Lukasz Kurgan, University of Alberta, Canada Received May 21, 2013; Accepted July 12, 2013; Published September 3, 2013 Received May 21, 2013; Accepted July 12, 2013; Published September 3, 2013 Copyright: 2013 Khan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Predicting Binding within Disordered Protein Regions to
Structurally Characterised Peptide-Binding Domains 1 Complex and Adaptive Systems Laboratory, University College Dublin, Dublin, Ireland, 2 Hussain Ebrahim Jamal Research Institute of Chemistry, International Center for
Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan, 3 Conway Institute of Biomolecular and Biomedical Science, University College Dublin, Dublin,
Ireland, 4 School of Medicine and Medical Science, University College Dublin, Dublin, Ireland, 5 School of Computer Science and Informatics, University College Dublin,
D bli
I
l
d Abstract Funding: This work was supported by Science Foundation Ireland principal investigator grant [grant number 08/IN.1/B1864] to D.C. Shields. W. Khan gratefully
acknowledges the award of a European Commission (EC) Erasmus Mundus Europe Asia (EMEA) Split-Doctoral Scholarship Scheme in University College Dublin
(UCD), Ireland. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. Competing Interests: The authors have declared that no competing interests exist. * E-mail: denis.shields@ucd.ie Competing Interests: The authors have declared that no competing interests exist. * E-mail: denis.shields@ucd.ie * E-mail: denis.shields@ucd.ie September 2013 | Volume 8 | Issue 9 | e72838 Citation: Khan W, Duffy F, Pollastri G, Shields DC, Mooney C (2013) Predicting Binding within Disordered Protein Regions to Structurally Characterised Peptide-
Binding Domains. PLoS ONE 8(9): e72838. doi:10.1371/journal.pone.0072838 Results We evaluated if the Vina docking score could be used to identify
peptide binding regions in protein sequences. Specifically, if we
have the 3D structure of a peptide binding domain could we
predict regions within an unstructured protein sequence that
might interact with it? For each of our 84 ELM instances we selected a window of 50
residues around each ELM, where the ELM is in the centre of the
region, unless it is found within the 25 residues closest to the N or
C terminus, in which case the 50 N or C terminal residues are
selected. We prepared sets of overlapping peptides of lengths three
residues by sliding a window along these 84 regions of the protein
sequence. We docked each tripeptide to the respective PDB
receptors. The best Vina score for each peptide was normalised
and the results displayed as ROC curves (Figure 1). The results
(AUC of 0.58) show only very modest discrimination between
peptides involved in binding and non-binding peptides. Given this
poor performance we investigated if the docking scores could be
used as input to a BRNN and if this would improve the predictive
power. We used the same set of 50 residue sequence regions to
train seven BRNN in ten-fold cross-validation using a similar
approach to that used to train SLiMPred [30]. The predictors
were trained using as input the 50 residue sequence, and either
predicted secondary structure, predicted disorder or Vina score, or
a combination of two, or all three of these features. We plotted
ROC curves for the performance of the training set in ten-fold
cross-validation for each of the seven predictors and the AUCs are
shown in Table 1. The BRNN does in fact improve the predictive
power, from an AUC of 0.58 when the Vina scores are assessed, to
an AUC of 0.68 using only the Vina score and the sequence to
train the BRNN. However, we found that the combination of all
three features provided the highest AUC (0.72) (Figure 1),
compared
to using
only
secondary
structure
and
disorder
predictions without Vina (AUC 0.63). We refer to this method
as PepBindPred (Peptide Binding-region Predictor). Computational docking is a technique that uses protein three-
dimensional structural information to predict ligand binding poses. Predicting Binding in Disordered Protein Regions disordered interaction hubs [20,21] explaining the many func-
tional roles for these regions. The small binding areas which
SLiMs constitute result in weak binding [9] making them suitable
for short-lived interactions [22]. However, regardless of their short
length, these motifs bind their target protein with sufficient
strength to establish a functional relationship [23]. molecules. Unconstrained peptides are flexible and tend to adopt
several conformations by rotating within the given search space of
the receptor site adding complexity to the docking protocol as the
number of rotatable bonds increases. Despite this, peptide docking
experiments have recently been used to successfully predict the
interaction site of elastin-binding protein and an elastin peptide
motif [36], confirming the potential of peptide docking. Several databases exist to capture instances of SLiMs, for
example, Minimotif Miner [12] and the ELM server [14] and a
variety of methods are available for novel SLiM discovery. Primarily, these methods which seek to identify over-represented,
convergently
evolved,
motifs
in
protein
sequences
[24,25],
however, the motif may be over-represented in a protein by
chance [26]. To avoid identifying false positives many methods
employ evolutionary information at the local and global level to
filter potential SLiM instances [27]. Profile based methods may be
able to improve on this but are unable to identify motifs that occur
with low frequency or as single occurrences [28]. Recently, a
number of de novo prediction methods that are not dependent on
evolutionary information have been developed [29–31]. These
methods use the physicochemical properties of the protein
sequence and predicted structural features to predict protein
binding regions, however, until now there has been no publicly
available
prediction
method
which
exploits
protein-peptide
structures available in the Protein Data Bank (PDB) [32]. Here, we investigated if docking, with AutoDock Vina [37], can
be used to identify protein-peptide interactions with the objective
of evaluating if the docking score could be used to discriminate a
peptide binding region from adjacent non-binding regions within a
defined stretch of protein sequence. First, we generated a non-
redundant dataset of protein receptor and SLiM containing
peptide interacting structures from the ELM database [14]. We
then performed high throughput docking of sets of overlapping
peptides generated by moving a sliding window along a 50 residue
region from the parent protein sequence which is centred around
the SLiM containing peptide. Predicting Binding in Disordered Protein Regions We compared these results to those
obtained by submitting the same sequences to SLiMPred [30],
MoRFpred [29] and ANCHOR [31]. Finally, we trained a
bidirectional recurrent neural network (BRNN) to predict the
peptide binding region within a protein sequence, using as input
the protein sequence, predicted secondary structure, predicted
disorder and Vina docking score. At present, the estimated number of protein-peptide interac-
tions in the proteome is not reflected in the number of protein-
peptide structures available in the PDB. However, the rapid
increase in protein structural data in the PDB does provide an
excellent opportunity to investigate how this information might be
exploited to predict potentially SLiM mediated protein-peptide
interactions in a novel manner. As the number of PDB protein
structures available is limited, methods that can provide useful
information about protein-peptide interactions in the absence of
structural information, for example in the case where one of the
interactors is unstructured or disordered, are desirable. A possible
solution is to use protein-peptide docking in order to infer
interaction information, such as the likely binding regions, when a
PDB structure is available for only one of the interacting pairs. Introduction comparatively small interface with an average size of 350 A˚ 2 [8]. An estimated 15–40% of all interactions in the cell are protein-
peptide interactions [4,9]. These peptide regions are ideal for
signalling
transduction
networks
because
they
are
specific,
transient and have low-affinity (1–150 mM) [10]. Thousands of proteins expressed in cells carry out their specific
intracellular and extracellular functions by interacting with each
other (protein-protein interactions). These interactions have been
acknowledged to play fundamental roles in almost every biological
event. Significant biological processes such as protein signalling,
trafficking
and
their
synchronised
degradation
[1,2],
DNA
repairing, replication and gene expression [3,4] require interaction
between protein-protein interfaces to perform their tasks. The
extent of complexity, co-operativity and diversity for these
interactions is enormous, and itself is coordinated by intricate
regulatory networks that will ultimately determine the behaviour
of biological systems. Many interactions are mediated between the
two domains of globular proteins (domain-domain interactions)
which tend to be stable (contact surfaces are flat) and require an
average size of 1,500–3,000 A˚ 2 [5,6]. Others are intended for fast
response to stimuli (domain-motif interactions (DMI)/domain-
peptide interactions/peptide-mediated interactions) [7] that occur
when a globular domain in one protein recognises a short linear
peptide from its corresponding protein partner, creating a y (
) [
]
Typically, the peptides involved in DMI or protein-peptide
interactions are categorised by a simple sequence pattern, that is, a
short linear motif (SLiM) [11], also referred to as linear motifs,
minimotifs [12], pre-structured motifs (PreSMos) [13], Eukaryotic
Linear Motifs (ELMs) [14] or molecular recognition features
(MoRFs) [15]. These peptide regions can vary in their length from
3 to 12 amino acid, typical of SLiMs, through to much longer
regions of up to 70 amino acids [16]. In general, SLiMs can be
expressed as regular expressions, a consensus motif with specific
conserved residues restricted to particular positions recognised by
a binding domain, with a set of similar residues or even arbitrary
ones at other locations [17]. Structurally, SLiMs are frequently
found in disordered regions at protein termini or between domains
[18] with the ability to adopt a variety of conformations [15,19]. SLiMs may also originate from loops within a structured domain,
exposing them to potential binding partners including many of the 1 September 2013 | Volume 8 | Issue 9 | e72838 PLOS ONE | www.plosone.org September 2013 | Volume 8 | Issue 9 | e72838 Results ROC curves plotting the true
positive rate of peptide binding residue identification against the false
positive rate, with thresholds for a positive identification decreasing
from 1 to 0, tested on the training set of 84 ELM containing examples
(A) normalised Vina scores (B) ten-fold cross-validation PepBindPred
predictions. doi:10.1371/journal.pone.0072838.g001 Table 1. AUC calculated from ROC curves for BRNN trained
with seven different input options. BRNN Input
AUC
Sequence, secondary structure and disorder
0.63
Sequence and secondary structure
0.64
Sequence and disorder
0.64
Sequence and Vina
0.68
Sequence, secondary structure and Vina
0.71
Sequence, disorder and Vina
0.71
Sequence, secondary structure, disorder and Vina
0.72
Predictors trained with either secondary structure, disorder or Vina score along
with the protein sequence, or a combination of two, or all three of these
features. doi:10.1371/journal.pone.0072838.t001 Table 1. AUC calculated from ROC curves for BRNN trained
with seven different input options. Predictors trained with either secondary structure, disorder or Vina score along
with the protein sequence, or a combination of two, or all three of these
features. d i
/j
l and Methods). We submitted these to PepBindPred, SLiMPred,
MoRFpred and ANCHOR, and also compared the results to the
Vina docking scores for overlapping tripeptides using the same
method as described above. Again we see that the Vina docking
scores do not discriminate well between binding and non-binding
residues (AUC 0.53) (Figure 2 (A)). While the performances of
ANCHOR is not strong (Figure 2 (B)), this is not surprising, since it
is designed to identify larger scale regions involved in protein
binding, rather than to identify specific residues within such
binding regions that bind to peptide-binding domains. MoRFpred
aims at shorter sequences (5–25 residues), which may explain why
its performance is better (Figure 2 (C)), but less efficient than
SLiMPred which targets shorter sequences (Figure 2 (D)). The
results for these alternative methods are included as a reminder to
use the appropriate computational tool when addressing a specific
question, since PepBindPred substantially out performs AN-
CHOR, MoRFpred, Vina and SLiMPred (AUC 0.75) (Figure 2
(E)). ( ))
To test how specific the predictions for a binding region, or
SLiM, are to a particular receptor we repeated the predictions for
the 21 sequence in the independent test set but we ‘‘shuffled’’ the
receptors. Results That is, we submitted each sequence to the Pep-
BindPred server, however we selected a receptor other than the
native receptor, making sure that the new receptor was not in the
same class as the native receptor (i.e. care was taken not to submit
a SH3 ligand containing sequence to another SH3 domain). The
results were almost identical (AUC 0.75). Although the lack of
receptor specificity is surprising in some respect, it is also
important to remember that it is the nature of many SLiMs to
bind with moderate rather than high affinity [38], and that all the
receptors here are peptide binding domains, and therefore have
some inherent similarity. In the light of this, we conclude that,
PepBindPred is a peptide binding region predictor, not a receptor
specificity
predictor,
and
users
must
remember
this
when
interpreting results. The docking information from Vina is
providing an additional layer of information that is not available
from the primary sequence alone, regarding the propensity of
regions to bind to peptide-binding domains. The precise nature of
this additional structural information is not clear, and may in
future become clearer as the training sets become larger and more
informative. Figure 1. ROC curves – Training set. ROC curves plotting the true
positive rate of peptide binding residue identification against the false
positive rate, with thresholds for a positive identification decreasing
from 1 to 0, tested on the training set of 84 ELM containing examples
(A) normalised Vina scores (B) ten-fold cross-validation PepBindPred
predictions. d i 10 1371/j
l
0072838 001 human proteome. 67 instances of the motif (L[ˆP]2,2[HI]I[ˆ-
P]2,2[IAV][IL]) were found in 65 Proteins. The ELM server
identified two of these as true positives (O75376 and Q9Y618),
both of which were ranked highly by SLiMSearch, using
conservation analysis. We investigated if PepBindPred would be
able to suggest some other potential true positive candidates in this
set of CORNR box motif instances. The PepBindPred server takes
as input the UniProt [40] identifier of the sequence, the residue to
start the search at (we set this to 25 residues before the start of the
motif instance), the PDBID and the chain ID (for this example
3N00 and B respectively). We averaged the PepBindPred
predictions over the nine motif residues for the 67 instances and
have listed them in order in Table 2. Results The score distribution is
skewed, with two of the true positives in the tail (Figure 3), which
suggests that some of the other top ranked motif instances could be
worth further investigation. The O75376 true positive instance is
ranked highest, however this is not surprising as the sequence is in
our training set. The second highest ranked sequence, P05160, we Results There are two main kinds of docking: protein-ligand docking,
where a flexible small-molecule compound is ‘‘docked’’ to a known
or suspected protein-binding pocket; and macromolecular dock-
ing, where two rigid protein (or other biological macromolecule,
such as DNA) structures are docked, with the goal of identifying
protein-protein interaction interfaces. Both protein-ligand and
macromolecular docking have been used successfully to predict
binding poses. Protein-ligand docking is commonly used as an
early step in small-molecule drug screening campaigns, where it
has been shown to have the ability to accurately retrieve the
known binding poses of diverse sets of small molecule-protein
complexes, although this does depend somewhat on the protein
family, and the characteristics of the binding site [33]. Recently,
two high-throughput macromolecular docking experiments have
been reported that demonstrated the use of a general docking
method to detect interacting partners. Mosca et al [34] used
docking to identify pairs of proteins that accurately interact with
each other in the Saccharomyces cerevisiae interactome by sampling
from a large set of alternative possibilities. Wass et al [35]
successfully distinguished between interacting (native) and non-
interacting (non-native) protein partners. A disadvantage of
macromolecular docking is the requirement for structural data
for both proteins. In general, docking programs are not optimised
for peptide docking and are most successfully used with small In order to bench mark PepBindPred we generated an
independent test set of 21 disordered sequence regions which are
shown to interact with protein receptors in the PDB (see Materials September 2013 | Volume 8 | Issue 9 | e72838 PLOS ONE | www.plosone.org September 2013 | Volume 8 | Issue 9 | e72838 2 Predicting Binding in Disordered Protein Regions human proteome. 67 instances of the motif (L[ˆP]2,2[HI]I[ˆ-
P]2 2[IAV][IL]) were found in 65 Proteins The ELM server
Figure 1. ROC curves – Training set. ROC curves plotting the true
positive rate of peptide binding residue identification against the false
positive rate, with thresholds for a positive identification decreasing
from 1 to 0, tested on the training set of 84 ELM containing examples
(A) normalised Vina scores (B) ten-fold cross-validation PepBindPred
predictions. doi:10.1371/journal.pone.0072838.g001 Methods). We submitted these to PepBindPred, SLiMPred,
RFpred and ANCHOR, and also compared the results to the
a docking scores for overlapping tripeptides using the same
hod as described above. Results Again we see that the Vina docking
es do not discriminate well between binding and non-binding
dues (AUC 0.53) (Figure 2 (A)). While the performances of
CHOR is not strong (Figure 2 (B)), this is not surprising, since it
esigned to identify larger scale regions involved in protein
ding, rather than to identify specific residues within such
ding regions that bind to peptide-binding domains. MoRFpred
s at shorter sequences (5–25 residues), which may explain why
performance is better (Figure 2 (C)), but less efficient than
MPred which targets shorter sequences (Figure 2 (D)). The
lts for these alternative methods are included as a reminder to
the appropriate computational tool when addressing a specific
tion, since PepBindPred substantially out performs AN-
OR, MoRFpred, Vina and SLiMPred (AUC 0.75) (Figure 2
o test how specific the predictions for a binding region, or
M, are to a particular receptor we repeated the predictions for
21 sequence in the independent test set but we ‘‘shuffled’’ the
ptors. That is, we submitted each sequence to the Pep-
dPred server, however we selected a receptor other than the
ve receptor, making sure that the new receptor was not in the
e class as the native receptor (i.e. care was taken not to submit
H3 ligand containing sequence to another SH3 domain). The
lts were almost identical (AUC 0.75). Although the lack of
ptor specificity is surprising in some respect, it is also
ortant to remember that it is the nature of many SLiMs to
d
ith
d
t
th
th
hi h ffi it [38]
d th t ll th
human proteome. 67 instances of the motif (L[ˆP]2,2[HI]I[ˆ-
P]2,2[IAV][IL]) were found in 65 Proteins. The ELM server
id
ifi d
f h
i i
(O
d Q
)
ble 1. AUC calculated from ROC curves for BRNN trained
th seven different input options. NN Input
AUC
quence, secondary structure and disorder
0.63
quence and secondary structure
0.64
quence and disorder
0.64
quence and Vina
0.68
quence, secondary structure and Vina
0.71
quence, disorder and Vina
0.71
quence, secondary structure, disorder and Vina
0.72
dictors trained with either secondary structure, disorder or Vina score along
h the protein sequence, or a combination of two, or all three of these
tures. :10.1371/journal.pone.0072838.t001
Figure 1. ROC curves – Training set. PepBindPred Web Server As an example of the possible use of PepBindPred we used
SLiMSearch [39] to identify CORNR box motif instances in the PLOS ONE | www.plosone.org PLOS ONE | www.plosone.org September 2013 | Volume 8 | Issue 9 | e72838 3 Predicting Binding in Disordered Protein Regions Figure 2. ROC curves – independent test set. ROC curves plotting
the true positive rate of peptide binding residue identification against
the false positive rate, with thresholds for a positive identification
decreasing from 1 to 0, tested on the independent test set of 21
examples (A) Vina (B) ANCHOR (C) MoRFpred (D) SLiMPred (E)
PepBindPred. doi:10 1371/journal pone 0072838 g002 doi:10.1371/journal.pone.0072838.g002 think is a false positive as the motif is found in a signal peptide. However the third ranked sequence we believe may be worth
further investigation as a possible true positive (Figure 4). This
protein, Melanoma-associated antigen C2 (Q9UBF1 (MAG-
C2_HUMAN)),
has
a
subcellular
location
of
‘‘Cytoplasm. Nucleus.’’ which is compatible with the function of the CORNR
box motif binding to nuclear receptors. The ROC curve for the
independent test set results (Figure 2 (E)) suggests that 0.4 is a good
threshold to choose as a cut-off as the false positive rate is still low
(approximately 3%), while allowing for the capture of more true
positives (approximately 20%, compared to ,10% at a threshold
of 0.5). PLOS ONE | www.plosone.org There are many other biological application of this method
beyond the example given. PepBindPred is computationally more
intensive than ANCHOR, MoRFpred or SLiMPred, so we would
suggest using one, or all, of these methods on your protein, or
proteins, of interest first to predict peptide binding regions. PepBindPred can then be used to refine the regions identified by
these methods, as it has been shown to be more accurate than any
of these methods individually. PepBindPred is especially useful
where some experimental information is available which would
lead the user to believe that the sequence of interest binds to, or
interacts with, a particular structured protein domain for which
there is a PDB structure available. September 2013 | Volume 8 | Issue 9 | e72838 Discussion Disordered regions of proteins often bind to structured domains,
mediating interactions within and between proteins. We have
presented a computational analysis of the performance of peptide
docking with AutoDock Vina to assess if the Vina docking scores
could be used to predict protein-peptide interactions. As Vina is
designed for small-molecule docking with a restriction on the
number of rotatable bonds (#32), it is generally assumed that it is
not suitable for docking peptides which have many more internal
degrees of freedom. Previously, however, we have shown that
there is a correlation between the Vina docking scores of
dipeptides with ACE and experimentally determined ACE
inhibition (IC50) [41]. Extensive preliminary work [42] which
attempted to dock the full peptide sequence to the peptide binding
domain showed that there is a direct correlation between the
peptide length and the number of rotatable bonds in the peptide. As the number of rotatable bonds increase so does the RMSD
between the docked peptide pose and the native peptide pose. Following this analysis we attempted to dock much shorter peptide
fragments (2–5 residues in length) to the peptide binding domain
and determined that tripeptides gave the best results [42]. Here, we investigated the binding of known SLiM-containing
peptides from within disordered protein regions to peptide binding
domains and investigated the docking of adjacent overlapping
peptides from the peptide’s protein sequence. We found that we
were unable to discriminate between binding and non-binding
peptide regions based on the Vina docking scores alone in this
context. We then trained a BRNN using the peptide sequence,
predicted secondary structure, predicted disorder and Vina score
as inputs. Our analysis shows that when the Vina docking score
was used as an input to our BRNN, in combination with predicted PLOS ONE | www.plosone.org PLOS ONE | www.plosone.org September 2013 | Volume 8 | Issue 9 | e72838 4 Predicting Binding in Disordered Protein Regions Table 2. PepBindPred predictions, averaged over the nine motif residues, and evolutionary conservation p-value for the motif
instance. Table 2. PepBindPred predictions, averaged over the nine motif residues, and evolutionary conservation p-value for the motif
instance. September 2013 | Volume 8 | Issue 9 | e72838 Discussion doi:10.1371/journal.pone.0072838.t002 PepBindPred predictions, averaged over the nine motif residues, and evolutionary conservation p-value for the motif instance, calculated using SLiMSearch [39], for the
67 CORNR box motif instances in the human proteome. Scores closer to 1 indicate that PepBindPred is more confident that regions is peptide binding, whereas
SLiMSearch p-values closer to 0 indicate that the motif is more likely to be a true positive due to conservation. Two of the sequences have two instances of the motif,
O75376 and Q9Y618. *True positives identified on the ELM server. doi:10.1371/journal.pone.0072838.t002 PepBindPred predictions, averaged over the nine motif residues, and evolutionary conservation p-value for the motif instance, calculated using SLiMSearch [39], for the
67 CORNR box motif instances in the human proteome. Scores closer to 1 indicate that PepBindPred is more confident that regions is peptide binding, whereas
SLiMSearch p-values closer to 0 indicate that the motif is more likely to be a true positive due to conservation. Two of the sequences have two instances of the motif,
O75376 and Q9Y618. *True positives identified on the ELM server. doi:10.1371/journal.pone.0072838.t002 secondary structure and disorder, the AUC increased from 0.63 to
0.72, compared to using only predicted secondary structure and
disorder. We have shown that this method, PepBindPred, performs better on an independent test set than three other
publicly available ab initio methods, ANCHOR, MoRFpred and
SLiMPred. This approach emphasises the potential for including
structural information when developing methods for refining the
location of peptide binding residues within disordered protein
regions. Figure 3. Histogram showing the distribution of PepBindPred
scores. The scores have been averaged over the 9 CORNR box motif
residues, for each of the 67 instances. doi:10.1371/journal.pone.0072838.g003 In this study we have evaluated only one docking method,
AutoDock Vina. The Vina docking program has many advantag-
es, it is easy to install and run locally, it is extremely fast and is very
suitable for high-throughput docking which is essential for
implementation as a web server of this kind. It is possible,
however, that other methods, for example, DynaDock [43], which
has been developed more specifically for the docking of peptides
into flexible binding sites, may provide better results in individual
cases. Unfortunately, this method is slower than Vina, so it is not
suitable for high-throughput docking in this context. Discussion UniProt AC
Motif
PepBindPred Score
Evolutionary conservation p-value
O75376*
LADHICQII
0.715
0.048
P05160
LTFIIILII
0.680
0.969
Q9Y618*
LEAIIRKAL
0.557
0.026
Q9UBF1
LLIIILSVI
0.543
1
Q96BZ9
LIDIILLIL
0.520
0.208
Q8NI22
LINIIDGVL
0.486
0.214
Q07325
LLGIILLVL
0.467
0.396
Q5SVZ6
LKLIIENIL
0.434
0.329
Q96AH8
LKLIIVGAI
0.425
0.75
Q9HAU8
LTFIISSIL
0.401
0.436
Q9NRU3
LEDIIEEII
0.384
0.393
P53618
LMTIIRFVL
0.363
0.321
O75376*
LEDIIRKAL
0.362
0.044
Q8IWF6
LRTHIDAII
0.350
0.197
Q8NHV5
LFFIIMGII
0.341
1
Q9UPM8
LRLHIIEII
0.338
0.3
Q9Y618*
LAQHISEVI
0.335
0.055
Q96N64
LDHIIEDAL
0.333
0.562
O95477
LSRIIWKAL
0.332
0.614
O00273
LASHILTAL
0.327
0.546
Q7Z3J2
LQLIIKKVI
0.325
0.096
Q09161
LNYHIVEVI
0.306
0.799
Q08AE8
LGIIIYKAL
0.294
0.164
Q8TDJ6
LNNHIHDIL
0.287
0.115
P07384
LYQIILKAL
0.283
0.518
Q5MIZ7
LYEIIRGIL
0.282
0.295
Q8TDR0
LHDIITEVI
0.282
0.43
Q96PN6
LKNIITVVI
0.276
0.645
Q8TCG5
LGQHIEDAL
0.274
0.294
Q6ZMV5
LYEIIKGIL
0.272
0.321
Q8IX04
LQYIITNVL
0.267
0.539
Q93100
LVIHIGWII
0.267
0.81
Q8TDL5
LKNIITEII
0.267
0.617
Q9C093
LVDIIVNAI
0.266
0.086
Q7RTX7
LARIIRVIL
0.262
0.345
Q9UIA9
LVYIIGAVI
0.257
0.104
Q8NEG5
LCKHICWVL
0.257
0.114
Q9Y6X3
LLGHIFYVL
0.232
0.885
Q8IZQ1
LAQIILDAI
0.221
0.708
P35556
LNNHIRYVI
0.216
0.145
Q14185
LLSHILEVL
0.209
0.067
O95801
LKAIIRGAL
0.199
0.732
A6NHC0
LYQIIRKAL
0.193
0.817
P56192
LGNIIGCVL
0.189
0.542
A6NES4
LTSIIVAVI
0.184
1
O95714
LCTHIGDIL
0.183
0.034
Q8NF50
LVGIILDAL
0.182
0.629
O95450
LGAHINVVL
0.174
0.364 September 2013 | Volume 8 | Issue 9 | e72838 PLOS ONE | www.plosone.org PLOS ONE | www.plosone.org 5 Predicting Binding in Disordered Protein Regions Table 2. Cont. UniProt AC
Motif
PepBindPred Score
Evolutionary conservation p-value
Q8N485
LRHIIAQVL
0.174
0.898
Q8TCG1
LKMHIAKIL
0.173
0.55
Q6R327
LDHIIQKAI
0.162
0.067
Q5T215
LCGIIRGAL
0.160
0.131
Q8WZ26
LSTHICVVL
0.159
1
P51124
LTFHIKAAI
0.158
0.658
Q99698
LNSIIDQAL
0.156
0.672
Q562E7
LSDITYYVY
0.156
0.94
Q9UJ70
LGRHIVAVL
0.153
0.136
Q0VDD8
LDKHIKSAI
0.152
1
Q8N1T3
LFGIIASVL
0.151
0.326
P17655
LFKIIQKAL
0.148
0.804
P52743
LHVIIDFIL
0.147
1
Q6PGP7
LEDIIGFAL
0.146
0.128
Q13572
LLNHIATVL
0.134
0.551
O15072
LGVHINVVL
0.128
0.362
Q8WXS8
LGVHINIAL
0.110
0.585
Q9UG01
LVEHITAAL
0.107
0.082
P30307
LGGHIQGAL
0.061
0.072
PepBindPred predictions, averaged over the nine motif residues, and evolutionary conservation p-value for the motif instance, calculated using SLiMSearch [39], for the
67 CORNR box motif instances in the human proteome. Scores closer to 1 indicate that PepBindPred is more confident that regions is peptide binding, whereas
SLiMSearch p-values closer to 0 indicate that the motif is more likely to be a true positive due to conservation. Two of the sequences have two instances of the motif,
O75376 and Q9Y618. *True positives identified on the ELM server. September 2013 | Volume 8 | Issue 9 | e72838 Discussion Another
method, the Rosetta FlexPepDock server [44], refines docking
conformations against a given PDB file and an estimated peptide
conformation, however, FlexPepDock is computationally intensive
as the protocol samples a significant conformational space and
therefore, similar to DynaDock, is also not suitable for our use. We are not entirely sure why the Vina docking score is unable to
discriminate between binding and non-binding residues. The Vina
scoring function (see [37] for details) uses a weighted sum of
interactions to predict a binding pose. Values for the weights were
determined by fitting the scoring function to the PDBBind refined
dataset. It is possible that the dataset used to fit the scoring
function is biased towards small molecules rather than peptides. This could possibly explain why the binding site cannot be
predicted using only the Vina docking score. Furthermore,
although there is no fixed limit, it has been shown that Vina can Figure 3. Histogram showing the distribution of PepBindPred
scores. The scores have been averaged over the 9 CORNR box motif
residues, for each of the 67 instances. doi:10.1371/journal.pone.0072838.g003 PLOS ONE | www.plosone.org September 2013 | Volume 8 | Issue 9 | e72838 September 2013 | Volume 8 | Issue 9 | e72838 6 Predicting Binding in Disordered Protein Regions Predicting Binding in Disordered Protein Regions Figure 4. PepBindPred output for Q9UBF1 (MAGC2_HUMAN). Melanoma-associated antigen C2; Motif: LLIIILSVI, residues 229–237. doi:10.1371/journal.pone.0072838.g004 Figure 4. PepBindPred output for Q9UBF1 (MAGC2_HUMAN). Melanoma-associated antigen C2; Motif: LLIIILSVI, residues 229–237. doi:10.1371/journal.pone.0072838.g004 d output for Q9UBF1 (MAGC2_HUMAN). Melanoma-associated antigen C2; Motif: LLIIILSVI, residues 229–237. 0072838.g004 All possible peptides were generated by scanning a sliding
windows of three residues along the 50 residue section of the
84 ELM containing protein sequence. Peptides were converted
into the SMILES format using CycloPs [48], and from SMILES to
PDB format using Open Babel [49]. AutoDock 4.2 [47] was used
to prepare the peptides as ligand files for Vina. handle ligands with up to 32 rotatable bonds [37], and tripeptides
would be on the high end of this scale. Finally, even with small
peptides, in this case tripeptides, the search space is large, and
difficult to search, although we never exceed the maximum search
space recommended (i.e 30|30|30A˚ ). Discussion p
(
)
Docking of tripeptides was chosen by us as a compromise
between computational efficiency and potential informativeness as
tripeptides appeared to perform slightly better than other longer
peptide fragments in preliminary experiments [42]. Using longer
peptides would likely require alternative strategies starting with
many more initial configurations of the peptides, in order to
adequately sample the conformational space prior to seeking to
identify minima. This would substantially increase the computa-
tional burden of docking peptides along the sequence. It is also
possible that alternative docking methods or scoring functions may
contribute to improved performance, unfortunately this is beyond
the scope of this work at present, however, they will be of interest
for future work. While it is possible that the initial docking may be
improved over that used, we consider it likely that the kind of
machine learning step we introduced here is still likely to improve
on the docking in discriminating between binding and non-
binding adjacent regions along a protein sequence. An independent test set was generated in a similar manner using
the sequences in the SLiMPred ‘‘SteinAloy’’ independent test set,
which was derived from analysis of peptide-mediated interactions
within PDB structure by Stein and Aloy [50], see [30] for more
details. The original dataset was redundancy reduced to less that
30% sequence similarity to our training set leaving 46 sequences
with a peptide region which is known to interact with a PDB
structure, 21 of these are in regions which are predicted to be
disordered. Anchor [31], MoRFpred [26] and SLiMPred [30] were used to
predict protein binding regions, and Distill [51] was used to
predict secondary structure, for the full protein sequence. The
predictions in the 50 residue window around the ELM were then
extracted. Methods where Vmax is the absolute value of the minimum Vina binding
score (i.e. {10) and Vmin is zero. We measure the sensitivity or
true positive rate (TPR) and specificity or false positive rate (FPR)
as we increase the discrimination threshold from 0 to 1. We plot
the TPR against the FPR as Receiver Operating Characteristic
(ROC) curves, which are calculated as follows: Analysis of Docking Results PepBindPred is available as part of our web server for SLiM
discovery and annotation. The user submits the protein sequence
that they wish to predict peptide binding regions within, and the
PDB ID of the protein structure they wish to predict interactions
with. At present the PDB structure is required to have a bound
peptide, and the user must provide the chain ID of the bound
peptide so that the search space for Vina can be defined around it. Predictions take approximately one hour per protein. Our server is
freely available for academic users at http://bioware.ucd.ie/
pepbindpred. The output generated by Vina for each peptide was processed
and the binding conformation having the lowest binding affinity
(i.e the top ranked Vina docking score) was selected for further
investigation. To evaluate the ability of Vina to discriminate
between binding peptides and adjacent non-binding peptides
extracted from the same protein sequence, we measure the TPR
and FPR. First, we normalise the Vina docking scores for each
peptide so they fall between 0 and 1: Normalised (vi)~
vi{Vmin
Vmax{Vmin
ð1Þ ð1Þ September 2013 | Volume 8 | Issue 9 | e72838 Datasets 1,358 true positive LIG (ligand binding) ELM instances were
downloaded from the ELM server [14]. 208 of these were
annotated as having a structure in the PDB. Using the FASTA
sequence of these 208 ELM containing sequences we predicted
the disorder using IUPred [45]. We retained 135 sequence which
had an average IUPred score of .0.5 (i.e. disordered) over a 50
residue window around the ELM. We internally reduced this set to
make it non-redundant using BLAST [46] with an e-value of
0.001, to less than 30% sequence similarity between any two
sequences, leaving 122 sequences. In some cases the exact ELM
motif was not found in the bound peptides of the PDB structures
and these structures were removed. The PDB chain ID of the 84
matches that were found were noted and used to define the centre
of search space for Vina, which was then extended to cover the
bound peptide [37]. The peptide chain was then removed from
the PDB structure in order to allow for docking to this site. AutoDock 4.2 [47] was then used to prepare the PDB files as
‘‘receptors’’ for Vina. TPR~
TP
TPzFN
FPR~
FP
FPzTN
ð2Þ TPR~
TP
TPzFN
FPR~
FP
FPzTN
ð2Þ TPR~
TP
TPzFN FPR~
FP
FPzTN
ð2Þ ð2Þ R [52] was used to plot the curves, and calculate the AUC. The
AUC is a number between 0 and 1 inclusive, where 0.5 indicates a
random model and 1 is perfect, which is equivalent to the PLOS ONE | www.plosone.org September 2013 | Volume 8 | Issue 9 | e72838 7 Predicting Binding in Disordered Protein Regions Predicting Binding in Disordered Protein Regions probability that a randomly chosen positive instance will rank
higher than a randomly chosen negative instance [53]. i(T)
j
~(i(T)
j,1 ,i(T)
j,t )
ð6Þ ð6Þ Implementation of BRNN BRNN have recently been used successfully for the prediction of
peptide binding regions using the protein sequence, predicted
secondary structure, structural motifs, solvent accessibility and
disorder as inputs [30]. We use a similar model here using the
protein sequence, predicted secondary structure, predicted disor-
der and Vina score as input. See [54] for a detailed explanation of
the BRNN model. Hence ij contains a total of ezt components. We use e~21: the 20 standard amino acids are considered,
while the 21st input encodes the length of the sequence. We use
t~5 for representing structural information. The first three
structural input units contain the predicted three-class secondary
structure representing the predicted probability of the j-th residue
belonging to either helix, strand or coil and the final two inputs are
the predicted disorder and Vina score. Hence the total number of
inputs for a given residue is ezt~26. These networks take the form: These networks take the form: oj~N (O) ij,h(F)
j
,h(B)
j
Acknowledgments The authors acknowledge the Research IT Service at University College
Dublin and the SFI/HEA Irish Centre for High-End Computing (ICHEC)
for providing high performance computing (HPC) resources that have
contributed to the research results reported within this paper. The authors
thank Kevin Rue for technical assistance. W. Khan gratefully acknowl-
edges the award of a European Commission (EC) Erasmus Mundus
Europe Asia (EMEA) Split-Doctoral Scholarship Scheme in University
College Dublin (UCD), Ireland. Input ij associated with the j-th residue contains primary
sequence information and predicted structural information (sec-
ondary structure, disorder and Vina score): ij~(i(E)
j
,i(T)
j
)
ð4Þ ð4Þ Training, Ensembling Training is conducted by ten-fold cross-validation, i.e. ten
different sets of training runs are performed in which a different
tenth of the overall set is reserved for testing. The ten fifths are
roughly equally sized, disjoint, and their union covers the whole
set. The training set is used to learn the free parameters of the
network by gradient descent. Three models are trained indepen-
dently for each fold and ensemble averaged to build the final
predictor. Differences among models are introduced by varying
the size of the input window considered by network from 7 to 9 to
11 residues. 10,000 epochs of training are performed for each
model and the learning rate is halved every time we do not observe
a reduction of the error for more than 50 epochs. h(F)
j
~N (F) ij,h(F)
j{1
h(B)
j
~N (B) ij,h(B)
jz1
j~1, . . . ,N
ð3Þ ð3Þ where ij (respectively oj) is the input (respectively output) of the
network in position j, and h(F)
j
and h(B)
j
are forward and backward
chains of hidden vectors with h(F)
0 ~h(B)
Nz1~0. We parametrise the
output update, forward update and backward update functions
(respectively N (O), N (F) and N (B)) using three two-layered feed-
forward neural networks. References 1. Castro A, Bernis C, Vigneron S, Labbe´ J, Lorca T (2005) The anaphase-
promoting complex: a key factor in the regulation of cell cycle. Oncogene 24:
314–325. 1. Castro A, Bernis C, Vigneron S, Labbe´ J, Lorca T (2005) The anaphase-
promoting complex: a key factor in the regulation of cell cycle. Oncogene 24:
314–325. 1. Castro A, Bernis C, Vigneron S, Labbe´ J, Lorca T (2005) The anaphase-
promoting complex: a key factor in the regulation of cell cycle. Oncogene 24:
314–325. 9. Neduva V, Russell R (2005) Linear motifs: evolutionary interaction switches. FEBS lett 579: 3342. 10. Diella F, Haslam N, Chica C, Budd A, Michael S, et al. (2008) Understanding
eukaryotic linear motifs and their role in cell signaling and regulation. Front
Biosci 13: 6580–6603. 2. Fuchs S, Spiegelman V, Kumar K (2004) The many faces of b-TrCP E3
ubiquitin ligases: Reflections in the magic mirror of cancer. Oncogene 23: 2028–
2036. 2. Fuchs S, Spiegelman V, Kumar K (2004) The many faces of b-TrCP E3
ubiquitin ligases: Reflections in the magic mirror of cancer. Oncogene 23: 2028–
2036. 11. Davey N, Van Roey K, Weatheritt R, Toedt G, Uyar B, et al. (2012) Attributes
of short linear motifs. Molecular BioSystems 8: 268–281. 3. Neduva V, Russell R (2006) Peptides mediating interaction networks: new leads
at last. Curr Opin Biotech 17: 465. 12. Mi T, Merlin JC, Deverasetty S, Gryk MR, Bill TJ, et al. (2012) Minimotif miner
3.0: database expansion and significantly improved reduction of false-positive
predictions from consensus sequences. Nucleic Acids Res 40: D252–D260. 4. Petsalaki E, Russell R (2008) Peptide-mediated interactions in biological systems:
new discoveries and applications. Curr Opin Biotech 19: 344–350. 13. Lee SH, Kim DH, J Han J, Cha EJ, Lim JE, et al. (2012) Understanding pre-
structured motifs (PreSMos) in intrinsically unfolded proteins. Curr Protein Pept
Sc 13: 34–54. 5. Conte L, Chothia C, Janin J (1999) The atomic structure of protein-protein
recognition sites. J Mol Biol 285: 2177–2198. 6. Jones S, Thornton J (1996) Principles of protein-protein interactions. P Natl
Acad Sci USA 93: 13–20. 14. Dinkel H, Michael S, Weatheritt RJ, Davey NE, Van Roey K, et al. (2012)
ELM-the database of eukaryotic linear motifs. Nucleic Acids Res 40: D242–
D251. 7. Pawson T (2007) Dynamic control of signaling by modular adaptor proteins. Curr Opin Cell Biol 19: 112–116. 7. Author Contributions where, assuming that e units are devoted to sequence, and t to
structural information: Conceived and designed the experiments: DCS CM. Performed the
experiments: WK CM. Analyzed the data: WK DCS CM. Contributed
reagents/materials/analysis tools: FD. Wrote the paper: WK DCS CM. Designed the BRNN: GP. i(E)
j
~(i(E)
j,1 , . . . ,i(E)
j,e )
ð5Þ ð5Þ and: Predicting Binding in Disordered Protein Regions Predicting Binding in Disordered Protein Regions Predicting Binding in Disordered Protein Regions 16. Me´sza´ros B, Simon I, Doszta´nyi Z (2009) Prediction of protein binding regions
in disordered proteins. PLoS Comput Biol 5: e1000376. 36. Blanchevoye C, Floquet N, Scandolera A, Baud S, Maurice P, et al. (2013)
Interaction between the elastin peptide VGVAPG and human elastin binding
protein. J Biol Chem 288: 1317–1328. 17. Puntervoll P, Linding R, Gemu¨nd C, Chabanis-Davidson S, Mattingsdal M, et
al. (2003) ELM server: a new resource for investigating short functional sites in
modular eukaryotic proteins. Nucleic Acids Res 31: 3625–3630. p
J
37. Trott O, Olson A (2010) AutoDock Vina: improving the speed and accuracy of
docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem 31: 455–461. y
p
18. Fuxreiter M, Tompa P, Simon I (2007) Local structural disorder imparts
plasticity on linear motifs. Bioinformatics 23: 950–956. 38. Kaneko T, Huang H, Cao X, Li X, Li C, et al. (2012) Superbinder SH2
domains act as antagonists of cell signaling. Sci Signal 5: ra68. 19. Stein A, Pache R, Bernado´ P, Pons M, Aloy P (2009) Dynamic interactions of
proteins in complex networks: a more structured view. FEBS J 276: 5390–5405. 39. Davey NE, Haslam NJ, Shields DC, Edwards RJ (2011) SLiMSearch 2.0:
biological context for short linear motifs in proteins. Nucleic Acids Res 39: W56–
W60. 20. Dunker A, Cortese M, Romero P, Iakoucheva L, Uversky V (2005) Flexible nets. FEBS J 272: 5129–5148. 40. The UniProt Consortium (2012) Reorganizing the protein space at the Universal
Protein Resource (UniProt). Nucleic Acids Res 40: D71–D75. 21. Haynes C, Oldfield C, Ji F, Klitgord N, Cusick M, et al. (2006) Intrinsic disorder
is a common feature of hub proteins from four eukaryotic interactomes. PLoS
Comput Biol 2: e100. 41. Norris R, Casey F, FitzGerald R, Shields D, Mooney C (2012) Predictive
modelling of angiotensin converting enzyme inhibitory dipeptides. Food
Chemistry 133: 1349–1354. 22. Pawson T, Nash P (2003) Assembly of cell regulatory systems through protein
interaction domains. Science Signalling 300: 445. 42. Khan W, Duffy F, Pollastri G, Shields DC, Mooney C (2013) Potential utility of
docking to identify protein-peptide binding regions. Technical Report UCD-
CSI-2013–01, University College Dublin. 23. Kim H, Ahn B, Cho Y (2001) Structural basis for the inactivation of
retinoblastoma tumor suppressor by SV40 large T antigen. EMBO J 20: 295–
304. ,
y
g
43. Predicting Binding in Disordered Protein Regions Antes I (2010) DynaDock: A new molecular dynamics-based algorithm for
protein-peptide docking including receptor flexibility. Proteins 78: 1084–1104. 24. Neduva V, Russell RB (2006) DILIMOT: discovery of linear motifs in proteins. Nucleic Acids Res 34: W350–W355. 44. London N, Raveh B, Cohen E, Fathi G, Schueler-Furman O (2011) Rosetta
FlexPepDock web serverhigh resolution modeling of peptide-protein interac-
tions. Nucleic Acids Res 39: W249–W253. 25. Edwards R, Davey N, Shields D (2007) SLiMFinder: a probabilistic method for
identifying overrepresented, convergently evolved, short linear motifs in
proteins. PLoS One 2: e967. 45. Doszta´nyi Z, Csizmok V, Tompa P, Simon I (2005) IUPred: web server for the
prediction of intrinsically unstructured regions of proteins based on estimated
energy content. Bioinformatics 21: 3433–3434. p
26. Davey NE, Edwards RJ, Shields DC (2010) Estimation and effcient computation
of the true probability of recurrence of short linear protein sequence motifs in
unrelated proteins. BMC Bioinformatics 11: 14. 46. Altschul SF, Madden TL, Scha¨ffer AA, Zhang J, Zhang Z, et al. (1997) Gapped
BLAST and PSIBLAST: a new generation of protein database search programs. Nucleic Acids Res 25: 3389–3402. 27. Davey NE, Shields DC, Edwards RJ (2009) Masking residues using context-
specific evolutionary conservation significantly improves short linear motif
discovery. Bioinformatics 25: 443–450. 47. Morris G, Huey R, Lindstrom W, Sanner M, Belew R, et al. (2009) AutoDock4
and AutoDock-Tools4: Automated docking with selective receptor flexibility. J Comput Chem 30: 2785–2791. 28. Haslam NJ, Shields DC (2012) Profile-based short linear protein motif discovery. BMC Bioinformatics 13: 104. 29. Disfani FM, Hsu WL, Mizianty MJ, Oldfield CJ, Xue B, et al. (2012)
MoRFpred, a computational tool for sequence-based prediction and character-
ization of short disorder-to-order transitioning binding regions in proteins. Bioinformatics 28: i75–i83. 48. Duffy FJ, Verniere M, Devocelle M, Bernard E, Shields DC, et al. (2011)
CycloPs: generating virtual libraries of cyclized and constrained peptides
including nonnatural amino acids. Journal of chemical information and
modeling 51: 829–836. 30. Mooney C, Pollastri G, Shields D, Haslam N (2011) Prediction of short linear
protein binding regions. J Mol Biol 415: 193–204. g
49. O’Boyle N, Banck M, James C, Morley C, Vandermeersch T, et al. (2011) Open
Babel: An open chemical toolbox. J Cheminform 3: 1–14. 31. Doszta´nyi Z, Me´sza´ros B, Simon I (2009) ANCHOR: web server for predicting
protein binding regions in disordered proteins. Bioinformatics 25: 2745–2746. 50. References Pawson T (2007) Dynamic control of signaling by modular adaptor proteins. Curr Opin Cell Biol 19: 112–116. 15. Vacic V, Cortese M, Dunker A, Uversky V (2006) Analysis of molecular
recognition features (MoRFs). J Mol Biol 362: 1043–1059. 8. Russell R, Gibson T (2008) A careful disorderliness in the proteome: sites for
interaction and targets for future therapies. FEBS lett 582: 1271–1275. 8. Russell R, Gibson T (2008) A careful disorderliness in the proteome: sites for
interaction and targets for future therapies. FEBS lett 582: 1271–1275. September 2013 | Volume 8 | Issue 9 | e72838 PLOS ONE | www.plosone.org 8 Predicting Binding in Disordered Protein Regions Stein A, Aloy P (2010) Novel peptide-mediated interactions derived from high-
resolution 3-dimensional structures. PLoS Comput Biol 6: e1000789. 32. Berman H, Westbrook J, Feng Z, Gilliland G, Bhat T, et al. (2000) The protein
data bank. Nucleic Acids Res 28: 235–242. 51. Bau´ D, Martin AJ, Mooney C, Vullo A, Walsh I, et al. (2006) Distill: a suite of
web servers for the prediction of one-, two-and three-dimensional structural
features of proteins. BMC Bioinformatics 7: 402. 33. Cross JB, Thompson DC, Rai BK, Baber JC, Fan KY, et al. (2009) Comparison
of several molecular docking programs: Pose prediction and virtual screening
accuracy. J Chem Inf Model 49: 1455–1474. 52. R Development Core Team (2008) R: A Language and Environment for
Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org. ISBN 3-900051-07-0. 34. Mosca R, Pons C, Ferna´ndez-Recio J, Aloy P (2009) Pushing structural
information into the yeast interactome by high-throughput protein docking
experiments. PLoS Comput Biol 5: e1000490. 53. Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27:
861–874. 35. Wass M, Fuentes G, Pons C, Pazos F, Valencia A (2011) Towards the prediction
of protein interaction partners using physical docking. Mol Syst Biol 7: 469. 54. Baldi P, Brunak S, Frasconi P, Soda G, Pollastri G (1999) Exploiting the past and
the future in protein secondary structure prediction. Bioinformatics 15: 937. September 2013 | Volume 8 | Issue 9 | e72838 September 2013 | Volume 8 | Issue 9 | e72838 PLOS ONE | www.plosone.org 9
|
https://openalex.org/W2970461618
|
https://www.frontiersin.org/articles/10.3389/fonc.2019.00902/pdf
|
English
| null |
Impact of Metformin on Systemic Metabolism and Survival of Patients With Advanced Pancreatic Neuroendocrine Tumors
|
Frontiers in oncology
| 2,019
|
cc-by
| 3,736
|
Reviewed by: Reviewed by:
Federica Recine,
Romagnolo Scientific Institute for the
Study and Treatment of Tumors
(IRCCS), Italy
Shilpa Thakur,
National Institutes of Health (NIH),
United States p
p
g
In recent years, the following clinical achievements dramatically expanded the therapeutic
armamentarium against advanced pNETs: (a) somatostatin analogs (SAs) significantly prolonged
patient progression free survival (PFS) when compared to the placebo in patients with advanced
disease (3); (b) the mTOR inhibitor everolimus and the multi-tyrosine kinase inhibitor sunitinib
demonstrated anticancer activity and prolonged median PFS in pNET patients pre-treated with
SAs (4, 5); (c) peptide receptor radiotherapy (PRRT) showed impressive anticancer activity coupled
with excellent tolerability profiles in patients with pre-treated advanced pNETs. Finally, cytotoxic
chemotherapy or liver-directed treatments remain a valid option for patients with high-grade
pNETs, as well as for neoplasms progressing on biological agents. Despite these improvements,
most advanced pNETs remain almost invariably incurable, and many patients finally die of their
disease. Indeed, while 5-year survival is 65–94% in patients with limited-stage disease, it is reduced
to 44–76% in the presence of lymph node metastases, and to 27% in the case of distant metastases
(6, 7). In the advanced disease setting, factors associated with poorer survival include the presence
of liver and peritoneal metastases, not having undergone resection the primary (pancreatic) tumor,
high-grade (G3) disease. Therefore, new treatment options are needed for patients with advanced
pNETs, in particular those with poor prognostic factors. *Correspondence:
Claudio Vernieri
claudio.vernieri@istitutotumori.mi.it
Sara Pusceddu
sara.pusceddu@istitutotumori.mi.it *Correspondence:
Claudio Vernieri
claudio.vernieri@istitutotumori.mi.it
Sara Pusceddu
sara.pusceddu@istitutotumori.mi.it Specialty section:
This article was submitted to
Pharmacology of Anti-Cancer Drugs,
a section of the journal
Frontiers in Oncology Specialty section:
This article was submitted to
Pharmacology of Anti-Cancer Drugs,
a section of the journal
Frontiers in Oncology Received: 29 July 2019
Accepted: 30 August 2019
Published: 20 September 2019 In recent years, preclinical and retrospective clinical data have shown that the antidiabetic
compound metformin may have antitumor activity against different tumor types including pNETs. Potential mechanisms of metformin anticancer effects include: (1) modifications of systemic
metabolism, including a reduction of blood glucose and insulin, which sustain cancer cell growth
by fueling cell metabolism; (2) direct, cell-autonomous anticancer effects, which are mediated by
the inhibition of mitochondrial metabolism and ATP production, with the consequent impairment
of intracellular energetic status and inhibition of mTOR, protein and fatty acid biosynthesis. Impact of Metformin on Systemic
Metabolism and Survival of Patients
With Advanced Pancreatic
Neuroendocrine Tumors
Claudio Vernieri 1,2*, Sara Pusceddu 1* and Filippo de Braud 1,3
1 Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy, 2 IFOM, The FIRC Institute of Molecular Oncology, Milan, Italy,
3 Oncology and Hematology-Oncology Department, University of Milan, Milan, Italy Claudio Vernieri 1,2*, Sara Pusceddu 1* and Filippo de Braud 1,3 1 Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy, 2 IFOM, The FIRC Institute of Molecular Oncology, Milan, Italy,
3 Oncology and Hematology-Oncology Department, University of Milan, Milan, Italy Keywords: pancreatic neuroendocrine tumors, metformin, metabolism, glucose, lipid metabolism, diabetes
mellitus OPINION
published: 20 September 2019
doi: 10.3389/fonc.2019.00902 OPINION Reviewed by: However, the potential anticancer role of metformin in patients with advanced pNETs remains
to be fully elucidated. INTRODUCTION Edited by:
Alessandro De Vita,
Romagnolo Scientific Institute for the
Study and Treatment of Tumors
(IRCCS), Italy Pancreatic neuroendocrine tumors (pNETs) represent a subgroup of neuroendocrine malignancies
with specific biological and clinical characteristics, whose incidence has increased in the last
four decades. The growth and proliferation of pNET cells is especially dependent on the
IGF-1/IGF1-receptor/PI3K/AKT/mTOR signaling pathway, while the activation of somatostatin
receptor axis exerts antiproliferative effects [Figure 1; (1, 2)]. September 2019 | Volume 9 | Article 902 METHODS We searched in PubMed database using the following string:
“(biguanides OR metformin) AND (pancreatic neuroendocrine
tumors OR pNETs OR neuroendocrine tumors.)” Our search
strategy produced a total number of 82 articles. Among them,
we selected for this review article those original preclinical and
clinical papers that investigated the metformin in preclinical
pNET models or in patients with advanced pNETs. Nevertheless,
the
following
issues
strongly
limit
the
clinical translatability of in vitro studies published so far:
(1) metformin concentrations used in cell growth media
are in the range of mM (usually 1–20 mM), i.e., by far
higher than those that can be reached in patient blood
with commonly-used and safe metformin dosages 4–15 µM
(11). This limitation highlights the importance of repeating
crucial
experiments
with
more
physiological
metformin
concentrations; (2) the contribution of metformin-induced Citation: Vernieri C, Pusceddu S and
de Braud F (2019) Impact of
Metformin on Systemic Metabolism
and Survival of Patients With
Advanced Pancreatic Neuroendocrine
Tumors. Front. Oncol. 9:902. doi: 10.3389/fonc.2019.00902 September 2019 | Volume 9 | Article 902 Frontiers in Oncology | www.frontiersin.org Metformin in Pancreatic Neuroendocrine Tumors Vernieri et al. FIGURE 1 | Potential cell-autonomous and systemic antitumor mechanisms of action of Metformin in pNETs. FIGURE 1 | Potential cell-autonomous and systemic antitumor mechanisms of action of Metformin in pNETs. Here we review and discuss preclinical and clinical studies
supporting a potential role of metformin in the treatment of
pNETs. We also discuss how ongoing trials could elucidate a
potential role of metformin in combination with established
anti-pNET therapies. and QGP-1 (non-hormone-secreting) pNET cell lines (8). In
BON-1 but not in QGP-1 cells, metformin strongly inhibited
the transcription of insulin receptor gene (INSR), and also
reduced levels of phosphorylated ERK and AKT (8). In another
study, metformin inhibited the mTORC1/S6K/S6 pathway when
used in the 1–10 mM concentration range, and reduced cell
viability without inducing apoptosis (9). Due to the central role
of the INSR-IGFR1/PI3K/AKT/mTOR pathway in pNET cell
growth and proliferation, the ability of metformin to inhibit
this axis via AMPK activation may be responsible for its cell-
autonomous anticancer effects, as well as for a potentially
synergistic antitumor activity between mTORC1 inhibitors
and metformin. September 2019 | Volume 9 | Article 902 Clinical Data T2DM
is
characterized
by
the
concomitancy
of
hyperglycemia,
insulin
resistance,
and
hyperinsulinemia
(17). Furthermore,
T2DM
is
frequently
associated
with
metabolic syndrome, which is defined by the presence of glucose
intolerance, hypertriglyceridemia, low HDL cholesterol levels,
obesity, and high blood pressure (18). Therefore, the presence
of both glucose and lipid metabolism dysregulation is common
in T2DM patients (17). Metformin is effective in reducing
hyperglycemia and insulin resistance occurring in T2DM
patients, and also reduced blood triglyceride and cholesterol
concentration in some studies (15). The first indication of a potential impact of metformin on the
outcome of patients with advanced pNET patients came from
a small retrospective study that we conducted in 31 patients. In this study, we found that metformin use in diabetic patients
was associated with significantly longer PFS when compared to
diabetic patients not receiving metformin, or to non-diabetic
patients (Table 1)(12). Aiming to expand these preliminary data, we conducted a
large retrospective, multicentric study involving 24 Italian centers
and 445 patients (13). In this study, we found that diabetic
patients treated with metformin had remarkably longer PFS (44.2
months) when compared to other diabetics (20.8 months) or
to non-diabetic patients (15.1 months) (Table 1). Importantly,
the positive impact of metformin was observed regardless of the
concomitant anticancer treatment (SA or everolimus plus SA),
and was independent from other known prognostic variables,
including the presence of liver metastases or having undergone
previous surgery of the primary tumor. In our study, patient
glycemic status was not independently associated with PFS, thus
suggesting that plasma glucose levels do not affect treatment
efficacy (13). We also provided indirect arguments supporting
the conclusion that blood insulin concentration is unlikely
to have an effect on patient outcomes. Therefore, we finally
hypothesized that the anticancer role of metformin in advanced
pNETs is more likely to be mediated by cell-autonomous
antitumor effects. At our Institution, the single-arm, open label MetNet1 trial
(NCT02294006) is currently enrolling patients with advanced
pNETs regardless of their diabetic status (19). Patients enrolled
in this trial are prescribed upfront treatment with SAs
plus everolimus plus metformin, up to a maximum daily
dosage of 2,000 mg. The primary objective of the study is
to evaluate the efficacy of the experimental treatment, as
defined as median PFS. Other study objectives consist in
testing the tolerability of the experimental treatment, as well
as its effects on systemic metabolism. Clinical Data Of note, metformin
does not significantly alter glucose and lipid metabolism in
patients with normal baseline profiles. Therefore, if metformin
anticancer effects in pNET patients are mainly mediated
through modifications of systemic metabolism, diabetic pNETs
patients, who more frequently have deregulated glucose and
lipid metabolism, may benefit from metformin significantly more
than non-diabetic ones. Conversely, if metformin mainly acts
through a cell-autonomous anticancer effect, diabetic, and non-
diabetic patients should benefit from metformin treatment in
a similar way. Discarding between these two possibilities will
be crucial to properly select pNET patients who are the best
candidates to receive metformin in combination with standard
anticancer treatments. On the other hand, we recently published results of a study
indicating that modifications of lipid metabolism could be
implicated in metformin anticancer properties. Indeed, in a
58 patients with advanced pNETs treated with everolimus, we
found that the precocious (within 3 months from treatment
initiation) onset of hypertriglyceridemia, or increased cholesterol
levels during the whole treatment course, are associated with
significantly lower PFS independently from metformin use
(Table 1) (14). We also found that high intratumor levels of
Acetyl-CoA Carboxylase 1 (ACC1) enzyme, the limiting-step
enzyme in the fatty acid de novo biosynthesis pathway, correlate
with lower everolimus efficacy [Figure 1; (14)]. Since metformin
not only affects systemic glucose metabolism, but it is also
capable of lowering plasma triglycerides (15) and/or of causing
inhibition of ACC1 in AMPK-mediated manner in cancer cells
(16), the observed association of metformin use and significantly
longer patient PFS could be mediated by metformin effects on
systemic/tumor lipid metabolism (Figure 1). Prospective studies
are needed to test this hypothesis, as well as to distinguish
between an indirect (i.e., mediated by modifications of systemic
metabolism) and a direct, cell-autonomous anticancer effect of
metformin in pNETs. Ongoing Studies systemic
metabolism
modifications
on
its
anticancer
activity
cannot
be
assessed
in
in
vitro
studies. Since
metformin
may
inhibit
cancer
growth
by
modifying
systemic metabolism, and in particular by lowering the
blood concentration of glucose, insulin, and lipids, this
limitation is especially important in the perspective of their
clinical translation. While retrospective analyses clearly indicate that metformin
use in diabetic patients with advanced pNETs is associated
with better clinical outcomes, no prospective studies have
investigated metformin activity/efficacy in combination with
standard antitumor treatments so far. Moreover, it is currently
unclear if also pNET patients who are not diabetics ma benefit
from metformin treatment. Preclinical Evidence Metformin has demonstrated anti-pNET activity in preclinical
studies (8–10). For instance, metformin impaired cell migration
capacity and reduced the survival of BON-1 (serotonin-secreting) September 2019 | Volume 9 | Article 902 Frontiers in Oncology | www.frontiersin.org 2 Metformin in Pancreatic Neuroendocrine Tumors Vernieri et al. Frontiers in Oncology | www.frontiersin.org DISCUSSION Based on the available preclinical and retrospective clinical
evidence, metformin administration promises to provide clinical
advantage when used in combination with established anticancer
treatments, such as SAs and everolimus, in patients with
advanced pNETs (12–14). Since plasma glucose levels have not
been found to be associated with pNET patient prognosis, it is
unlikely that the major effect of metformin is mediated by its
ability to reduce patient glycemia. On the other hand, emerging
data suggest that the effect of metformin could be mediated
through its impact on systemic lipid metabolism, especially
in patients treated with mTOR inhibitors, which increase September 2019 | Volume 9 | Article 902 Frontiers in Oncology | www.frontiersin.org 3 Metformin in Pancreatic Neuroendocrine Tumors Vernieri et al. TABLE 1 | Published and ongoing studies of metformin in pNET patients. References
Study design
N. patients
Status
Study findings
Pusceddu et al. (12)
Retrospective
31
Completed
Diabetic pNET patients taking metformin have significantly longer PFS
when compared with non-diabetics or diabetics pNET patients treated
with other antidiabetic therapies
Pusceddu et al. (13)
Retrospective
445
Completed
Diabetic pNET patients taking metformin have significantly longer PFS
(44.2 months) when compared with non-diabetics (15.1 months) or
diabetics pNET patients treated with other antidiabetic therapies (20.8
months). The impact of metformin on patient PFS was independent of
other clinically relevant variables
Vernieri et al. (14)
Retrospective
58
Completed
Hypertriglyceridemia and hypercholesterolemia are associated with
significantly worse PFS in advanced pNET patients treated with
everolimus
Pusceddu et al. (NCT02294006) (14)
Prospective
43
Ongoing
N.A. PFS: progression-free survival; pNET: pancreatic neuroendocrine tumor. TABLE 1 | Published and ongoing studies of metformin in pNET patients. PFS: progression-free survival; pNET: pancreatic neuroendocrine tumor. triglyceride and cholesterol concentration in a significant
proportion of patients [Figure 1; (14)]. However, these data
need to be confirmed in larger retrospective and, in case,
in prospective studies. Moreover, a direct, cell-autonomous
anticancer effect of metformin against pNETs cannot be
excluded, even though metformin concentrations that are
active in in vitro studies can be hardly reached in patients’
blood (Figure 1). important: indeed, pNET patients receiving metformin for
T2DM treatment could be selected for being exposed to SAs
and/or everolimus for longer periods, or for having undergone
previous pancreatic surgery, i.e., all clinical characteristics
associated with better patient prognosis independently from
metformin use. DISCUSSION Another crucial issue in the debate around the use of
metformin
as
an
anticancer
agent
consists
in
clarifying
its potential antitumor activity in patients who are not
diabetics. Since in our retrospective study the diabetic status
was not associated with patient PFS independently from
other prognostic factors, it is reasonable to hypothesize that
metformin could improve patient prognosis independently
from its impact on glucose metabolism but, more reasonably,
through its effects on other metabolic pathways or through
cell-autonomous anticancer effects. In both cases, we would
expect similar anticancer activity from metformin in patients
with and without diabetes. Prospective studies including
both diabetic and non-diabetic patients, as well as correlative
analyses between kinetics of blood triglyceride/cholesterol
concentration and treatment efficacy, will be crucial to clarify
the role of metformin-induced metabolic modifications on
its anticancer activity. On the other hand, preoperative,
window-of-opportunity
trials
with
single-agent
metformin
in patients candidate to surgery could represent the ideal
context
to
explore
potential
metformin
cell-autonomous
antitumor properties, as well as to clarify if commonly used
dosages of this compound are sufficient to reach therapeutic
intratumor concentrations. Crucial advantages of metformin consist in low drug
costs and excellent tolerability at dosages that are commonly
used for the treatment of T2DM. However, the tolerability
of
metformin
in
combination
with
standard
anticancer
treatments
needs
to
be
established
yet. For
instance,
the
metformin-everolimus
combination
could
increase
the
risk
of
everolimus-induced
diarrhea. The
ongoing
NCT02294006
trial
will
clarify
if
metformin
is
a
safe
and
well-tolerated
drug
when
combined
with
SAs
plus
everolimus (19). While the risks of specific pharmacological
metformin-including
combinations
cannot
be
ignored,
metformin
could
also
prevent
or
reduce
alterations
of
glucose and lipid metabolism that are often detected in
patients with advanced pNETs, especially those treated with
everolimus (4, 14). While published clinical studies indicate a potentially relevant
advantage from adding metformin to standard anti-pNET
treatments, prospective studies are necessary before concluding
that metformin might provide a true clinical benefit. Indeed,
retrospective studies have important limitations that may lead
to incorrect conclusions. For instance, metformin use had
been associated with longer survival in patients with advanced
pancreatic exocrine adenocarcinomas in retrospective studies
(20, 21); however, three recent randomized trials showed
no benefit from adding metformin to first- or second-line
chemotherapy in this patient population (22–24). Frontiers in Oncology | www.frontiersin.org REFERENCES Ambe CM, Mahipal A, Fulp J, Chen L, Malafa MP. Effect of metformin
use on survival in resectable pancreatic cancer: a single-institution
experience and review of the literature. PLoS ONE. (2016) 11:e0151632. doi: 10.1371/journal.pone.0151632 7. Noone AM, Howlader N, Krapcho M, Miller D, Brest A, Yu M, et al. SEER
Cancer Statistics Review, 1975–2015. Bethesda, MD: National Cancer Institute
(2018). Available online at: https://seer.cancer.gov/csr/1975_2015/ (accessed
August 20, 2019). 22. Kordes S, Pollak MN, Zwinderman AH, Mathot RA, Weterman MJ, Beeker A,
et al. Metformin in patients with advanced pancreatic cancer: a double-blind,
randomised, placebo-controlled phase 2 trial. Lancet Oncol. (2015) 16:839–47. doi: 10.1016/S1470-2045(15)00027-3 8. Herrera-Martinez AD, Pedraza-Arevalo S, L-López F, Gahete MD, Galvez-
Moreno MA, Castano JP, et al. Type 2 diabetes in neuroendocrine tumors: are
biguanides and statins part of the solution? J Clin Endocrinol Metab. (2019)
104:57–73. doi: 10.1210/jc.2018-01455 23. Braghiroli MI, de Celis Ferrari AC, Pfiffer TE, Alex AK, Nebuloni
D, Carneiro AS, et al. Phase II trial of metformin and paclitaxel
for patients with gemcitabine-refractory advanced adenocarcinoma of
the pancreas. Ecancermedicalscience. (2015) 9:563. doi: 10.3332/ecancer. 2015.563 9. Vlotides G, Tanyeri A, Spampatti M, Zitzmann K, Chourdakis M, Spttl C,
et al. Anticancer effects of metformin on neuroendocrine tumor cells in vitro. Hormones. (2014) 13:498–508. doi: 10.14310/horm.2002.1517 10. Soares HP, Ni Y, Kisfalvi K, Sinnett-Smith J, Rozengurt E. Different patterns
of Akt and ERK feedback activation in response to rapamycin, active-site
mTOR inhibitors and metformin in pancreatic cancer cells. PLoS ONE. (2013)
8:e57289. doi: 10.1371/journal.pone.0057289 24. Reni M, Dugnani E, Cereda S, Belli C, Balzano G, Nicoletti R, et al. (Ir)relevance of metformin treatment in patients with metastatic pancreatic
cancer: an open-label, randomized phase II trial. Clin Cancer Res. (2016)
22:1076–85. doi: 10.1158/1078-0432.CCR-15-1722 11. Anisimov
VN. Do
metformin
a
real
anticarcinogen? A
critical
reappraisal
of
experimental
data. Ann
Transl
Med. (2014)
2:60. doi: 10.3978/j.issn.2305-5839.2014.06.02 25. Wei M, Liu Y, Bi Y, Zhang ZJ. Metformin and pancreatic cancer survival:
real effect or immortal time bias? Int J Cancer. (2019) 145:1822–8. doi: 10.1002/ijc.32254 12. Pusceddu S, Buzzoni R, Vernieri C, Concas L, Marceglia S, Giacomelli
L,
et
al. Metformin
with
everolimus
and
octreotide
in
pancreatic
neuroendocrine tumor patients with diabetes. Future Oncol. (2016) 12:1251–
60. doi: 10.2217/fon-2015-0077 Conflict of Interest Statement: The authors declare that the research was
conducted in the absence of any commercial or financial relationships that could
be construed as a potential conflict of interest. 13. REFERENCES 15. Wulffele MG, Kooy A, de Zeeuw D, Stehouwer CD, Gansevoort RT. The
effect of metformin on blood pressure, plasma cholesterol and triglycerides
in type 2 diabetes mellitus: a systematic review. J Intern Med. (2004) 256:1–14. doi: 10.1111/j.1365-2796.2004.01328.x 1. Missiaglia E, Dalai I, Barbi S, Beghelli S, Falconi M, della Peruta M,
et
al. Pancreatic
endocrine
tumors:
expression
profiling
evidences
a
role
for
AKT-mTOR
pathway. J
Clin
Oncol. (2010)
28:245–55. doi: 10.1200/JCO.2008.21.5988 16. Vernieri C, Casola S, Foiani M, Pietrantonio F, de Braud F, Longo V. Targeting
cancer metabolism: dietary and pharmacologic interventions. Cancer Discov. (2016) 6:1315–33. doi: 10.1158/2159-8290.CD-16-0615 2. Moreno A, Akcakanat A, Munsell MF, Soni A, Yao JC, Meric-Bernstam
F. Antitumor activity of rapamycin and octreotide as single agents or in
combination in neuroendocrine tumors. Endocr Relat Cancer. (2008) 15:257–
66. doi: 10.1677/ERC-07-0202 17. DeFronzo RA, Ferrannini E, Groop L, Henry RR, Herman WH, Holst
JJ, et al. Type 2 diabetes mellitus. Nat Rev Dis Primers. (2015) 1:15019. doi: 10.1038/nrdp.2015.19 3. Caplin ME, Pavel M, Cwikla JB, Phan AT, Raderer M, Sedlackova E, et al. Lanreotide in metastatic enteropancreatic neuroendocrine tumors. N Engl J
Med. (2014) 371:224–33. doi: 10.1056/NEJMoa1316158 18. Saklayen
MG. The
global
epidemic
of
the
metabolic
syndrome. Curr
Hypertens
Rep. (2018)
20:12. doi:
10.1007/s11906-018-
0812-z 19. Pusceddu S, de Braud F, Concas L, Bregant C, Leuzzi L, Formisano B, et al. Rationale and protocol of the MetNET-1 trial, a prospective, single center,
phase II study to evaluate the activity and safety of everolimus in combination
with octreotide LAR and metformin in patients with advanced pancreatic
neuroendocrine tumors. Tumori. (2014) 100:e286–9. doi: 10.1700/1778. 19298 4. Yao JC, Shah MH, Ito T, Bohas CL, Wolin EM, Van Cutsem E, et al. Everolimus for advanced pancreatic neuroendocrine tumors. N Engl J Med. (2011) 364:514–23. doi: 10.1056/NEJMoa1009290 5. Raymond E, Dahan L, Raoul JL, Bang YJ, Borbath I, Lombard-Bohas C, et al. Sunitinib malate for the treatment of pancreatic neuroendocrine tumors. N
Engl J Med. (2011) 364:501–13. doi: 10.1056/NEJMoa1003825 20. Sadeghi N, Abbruzzese JL, Yeung SC, Hassan M, Li D. Metformin use is
associated with better survival of diabetic patients with pancreatic cancer. Clin
Cancer Res. (2012) 18:2905–12. doi: 10.1158/1078-0432.CCR-11-2994 6. Genc CG, Klumpen HJ, van Oijen MGH, van Eijck CHJ, Nieveen van Dijkum
EJM. A nationwide population-based study on the survival of patients with
pancreatic neuroendocrine tumors in the Netherlands. World J Surg. (2018)
42:490–7. doi: 10.1007/s00268-017-4278-y 21. DISCUSSION Different
factors may account for discrepancies between retrospective and
prospective studies, including the reporting bias, immortal time
bias, and the fact that metformin is only taken by patients
with T2DM in retrospective studies (13, 25). In the case of
pNETs, the impact of the immortal time bias could be especially To date, the strongest rationale exists for combining
metformin
with
everolimus,
which
could
synergize
at
a
molecular
(i.e.,
by
strengthening
inhibition
of
the
PI3K/AKT/mTOR
pathway
and
inhibiting
cancer
cell
anabolism) and systemic (i.e., by reducing blood glucose,
triglyceride, and cholesterol concentration) levels. However,
future
preclinical
and,
in
case,
clinical
studies
should
investigate metformin in combination with other therapies
that are standard-of-care in pNET patients, such as SSAs
and PPRT. September 2019 | Volume 9 | Article 902 4 Metformin in Pancreatic Neuroendocrine Tumors Vernieri et al. FUNDING This
paper
was
funded
by
scientific
grant
of
medical
oncology
Unit
1,
Fondazione
IRCCS
Istituto
Tumori Milano. All authors (CV, FB, and SP) have contributed to conception or
design of the paper, as well as to the writing of the manuscript
and its critical revision. REFERENCES Pusceddu S, Vernieri C, Di Maio M, Marconcini R, Spada F, Massironi
S, et al. Metformin use is associated with longer progression-free survival
of patients with diabetes and pancreatic neuroendocrine tumors receiving
everolimus and/or somatostatin analogues. Gastroenterology. (2018) 155:479–
89.e7. doi: 10.1053/j.gastro.2018.04.010 Copyright © 2019 Vernieri, Pusceddu and de Braud. This is an open-access article
distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the
original author(s) and the copyright owner(s) are credited and that the original
publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these
terms. 14. Vernieri C, Pusceddu S, Fuca G, Indelicato P, Centonze G, Castagnoli L, et al. Impact of systemic and tumor lipid metabolism on everolimus efficacy in
advanced pancreatic neuroendocrine tumors (pNETs). Int J Cancer. (2019)
144:1704–12. doi: 10.1002/ijc.32042 September 2019 | Volume 9 | Article 902 Frontiers in Oncology | www.frontiersin.org 5
|
https://openalex.org/W4280584852
|
https://link.springer.com/content/pdf/10.1007/s10639-022-11108-2.pdf
|
English
| null |
Smartphone applications for physical activity promotion from physical education
|
Education and information technologies
| 2,022
|
cc-by
| 9,420
| ERROR: type should be string, got "https://doi.org/10.1007/s10639-022-11108-2\nEducation and Information Technologies (2022) 27:11759–11779 https://doi.org/10.1007/s10639-022-11108-2\nEducation and Information Technologies (2022) 27:11759–11779 Keywords Mobile phone app · Educational technology · Digital literacy · Mobile \ndevice · Secondary school Smartphone applications for physical activity promotion \nfrom physical education Francisco Javier Gil‑Espinosa1 · Adriana Nielsen‑Rodríguez2 · \nRamón Romance2 · Rafael Burgueño3 Received: 24 December 2021 / Accepted: 11 May 2022 / \n© The Author(s) 2022\nPublished online: 19 May 2022 Received: 24 December 2021 / Accepted: 11 May 2022 / \n© The Author(s) 2022\nPublished online: 19 May 2022 Extended author information available on the last page of the article *\t Francisco Javier Gil‑Espinosa \n\t\njaviergil@uma.es 1 Introduction The digital technology (e.g., digital blackboard, tablets, smartphone apps) has been \nincorporated as key elements into every sphere of our society such as health, work \nand education (Organisation for Economic Cooperation and Development, 2019). The use of digital technology to support the teaching and learning process has \ngrown sharply in recent years (Sargent & Casey, 2020), and its implementation in \neducation system has been accentuated by the COVID-19 pandemic. Indeed, Cal-\nderón-Garrido et al. (2022) review concluded that the scientific production seems \nto bet on the use of smartphones in class, as it is beneficial for educational objec-\ntives. In physical education (PE), while most research has focused on reporting use-\nfulness and advantages derived from the use of digital technology in PE (Cushion \nand Townsend, 2019; Sargent & Casey, 2020), little attention has been paid to the \nquestion about whether there are smartphone apps that could be linked with PE \ncurriculum to promote leisure-time physical activity (PA) in adolescents from the \ncontext of the secondary school PE. There is thus a need to help PE teachers take \na curricular approach to the selection and implementation of smartphone applica-\ntions (apps) that contribute to addressing the curriculum. This would allow us to \nrecommend an improved use of smartphone apps for PE lessons, which would lead \nto improve the quality of the teaching and learning process with more meaningful \nlearning experiences for students, and to accomplish one of the main educational \ngoals, such as leisure-time PA promotion (SHAPE America– Society of Health and \nPhysical Educators, 2014). This research sought to carry out a systematic search \nfor smartphone apps focused on PA that are available in the Google Play. Next, the \ninterplay between every included smartphone app and the secondary PE curriculum \nwas further analysed. Abstract Smartphone applications (apps) are thought to be an adequate instructional strategy \nnot only to improve the quality of the teaching in physical education (PE), but also \nto effectively promote leisure-time physical activity (PA) of adolescent students in \nthis context. Although the use of smartphone apps has been generalized in PE, lit-\ntle is known about the curricular approach of smartphone apps to be implemented \nby teacher to teach specific curricular contents in PE lessons. Therefore, the aim \nof this research was threefold: a) to conduct a systematic search for smartphone \napps focused on PA and sport; b) to assess the features, content and quality of every \nincluded smartphone app; and c) to analyze the relationships between every selected \napp and the secondary PE curriculum. Systematic searches were completed on \nGoogle Play Store from January 2021 to March 2021. Apps were included when \nthey met: main goal focused on PA and sport; permitted use by underage; they are \nfree; user scores of at least 4. The app selection process was carried out by sev-\neral reviewers and concordance measures were estimated. Additionally, an app \nquality assessment was independently conducted by three reviewers. A total of 18 \napps focused on PA were included. Particularly, eight apps were suitable for fitness, \nhealth and quality of life curricular content; two for sports content; four for body \nexpression content; and four apps for outdoor PA content. The mean quality score \nwas 4.00. Apps could be helpful for teachers to implement the secondary PE cur-\nriculum and effectively promote PA among adolescent students. Keywords Mobile phone app · Educational technology · Digital literacy · Mobile \ndevice · Secondary school 012341 456789)\n3 Education and Information Technologies (2022) 27:11759–11779 11760 1.1 \u0007Secondary physical education curriculum In common with another national PE curricula (e.g., SHAPE America– Society of \nHealth and Physical Educators, 2014; Irish Proffessional Service for Teachers, 2022; \nBritish Council for the Curriculum, Examinations and Assessment, 2022), one the \nof the main curricular goals for PE, in Spain, is to develop students as physically \nliterate people capable of applying the knowledge, skills and attitudes needed for \nlifelong health-related PA (Orden 15 of January, 2021; Royal Decree 1105/, 2014). In order to structure the knowledge, skills and attitudes to be learnt by students \nwhen completing secondary education, the content blocks of Spanish curriculum for \nsecondary PE could be organized according four: a) fitness, health and life quality, \nwhich includes contents related to the development of basic physical capacities, the \npromotion of healthy lifestyles (e.g., regular PA, nutrition and adequate rest breaks) \nand avoidance of potential health-damaging behaviours (e.g., sedentarism, tobacco, \nalcohol and drugs), as well as the identification of health benefits derived from a \ngood level of fitness and regular leisure-time PA; b) games and sports, which com-\nprises contents referring to the understanding of games and sports as sociocultural 1 3 Education and Information Technologies (2022) 27:11759–11779 11761 phenomena, the knowledge of Spanish traditional games, as well as the development \nof technical and tactical skills, the knowledge and respect for the rules of individual \nand team sports; c) body expression, which brings together contents concerning cre-\native and artistic communication and emotional regulation using body (e.g., dance, \nchoreography, and dramatization) d) outdoor PA, which tackles contents regard-\ning the interaction between students and nature through PA (e.g., hiking, orientat-\ning, and outdoor challenges), and the understanding and appreciation of the natural \nenvironment. The Spanish curriculum for secondary PE states two 60-minute lessons per week, \ndespite the substantial body of evidence indicating PE helped students meet daily \nPA recommendations (Kerr et al., 2018; Kwon et al., 2020; Lee & Gao, 2020). Thus, \nthere is a need for teachers to develop and implement instructional strategies aiming \nto promote students’ levels of leisure-time PA from PE lessons. For this goal, the \nuse of digital technology, including smartphone apps, is recommended not only to \ndevelop key digital competence, but also to improve the comprehensive education of \nstudents in general, and promote leisure-time PA from the context of the secondary \nschool PE in particular (Orden 15 of January, 2021; Royal Decree 1105/, 2014). 1.3 \u0007Literature review on apps in physical education The digital technology could allow a greater variety of instructional strategies in PE \nwhile helping to develop in students attitudes, knowledge and behaviours for a more \nphysically active life. Therefore, teachers need to experiment with apps related to \nthe PE teaching-learning process (Yu et al., 2018). Accordingly, previous research \nabout the use of apps, conducted in the school context of PE, has evidenced advan-\ntages in motivation, knowledge of results, assessment, and the improvement of stu-\ndent autonomy, among others (Kerner & Goodyear, 2017; Klenk et al., 2017; Phil-\nlips et al., 2014; Vega-Ramírez et al., 2020). Schwartz and Baca (2016) point out \nthat many PA apps are based on behavioural theory and use elements of gamifica-\ntion for success, with personal goals and specific feedback. Lee (2018) recommends \nusing apps to facilitate students’ group activities, as well as the knowledge of results. Similarly, a growing body of research has pointed out that the implementation of \nsmartphone apps was an efficient instructional strategy to increase in-classroom PA, \nas well as to promote leisure-time PA among adolescent students in PE (Böhm et al., \n2019; Brickwood et al., 2019; Gil-Espinosa et al., 2020; Lau et al., 2011). Likewise, Mokmin and Jamiat (2021) designed a mobile application taking into \nconsideration the motor learning theory (Muratori et al., 2014) and Mayer’s cogni-\ntive theory of multimedia learning (Mayer, 2011), obtaining satisfactory results in \nmotivation and PA performance after its implementation with students. In turn, the \nresults of Papastergiou et al. (2021) research with primary school students conclude \nthat the use of apps improved their interest, enjoyment, and motivation, while teach-\ners had more time to provide individualised feedback. Similarly, research carried out \nby Yu (2020) in secondary education found that, through the use of mobile appli-\ncations, students improved their tactics and performance of badminton skills while \nallowing for more active learning and improved knowledge of the results, conclud-\ning that PE teachers can integrate the use of mobile applications in their teaching \nwork.i In any case, the educational benefits of using mobile applications in PE will be \ndeterminate by the design of the learning activities (Greve et al., 2022), which is \nwhy their link with the curriculum is crucial. PE teachers are recommended to align \nthe selection of apps with the PE learning goals (Lee & Gao, 2020). Krause et al. 1.2 \u0007Smartphone apps in physical education The use of digital technology in PE is considered as a relevant instructional recourse \ngiven its potential in supporting the teaching and learning process in a manner that \nfits the nature of PE (Casey et al., 2017). For instance, digital technology such as \ndigital blackboard, tablets, video cameras, electronic devices, and smartphone apps \nprovide students with opportunities to reinforce their learning, and to foster their \nautonomy (Hyeonho & Taemin, 2021). Recently, inquiring app-integrated PE in \nwhich several apps are utilized on the smartphone in PE has been on the rise to \nease the teaching learning process (Krause & Sanchez, 2014; Zhu & Dragon, 2016). PE experts have suggested smartphone apps perform different roles in improving \nthe quality of PE: a) they can serve as communicational tools such as scoreboard, \nwhiteboard or display platforms; b) they can serve as classroom management tools \nby being useful for timers, music displayers, and microphones; c) they can be used \nas tools for information delivery, feedback, lesson plans, assessment; and d) they \nshould be personalised based on every student’s need and skills (Goodyear et al., \n2019; Penney et al., 2012; Pyle & Esslinger, 2014; Sinelnikov, 2012). It is, thus, thought to develop students as physical literate people via smartphone \napps may represent an effective and innovative strategy to promote leisure-time PA \nfrom the context of the secondary school PE. This idea relied on the fact that most \nsecondary students have a generalised use of digital technology in their everyday \nlife through the utilisation of social networks, websites, blogs, and smartphones, and \nuser accounts for several apps (Böhm et al., 2019; Direito et al., 2015; Goodyear & \nArmour, 2021; Vega-Ramírez et al., 2020). 1 3 Education and Information Technologies (2022) 27:11759–11779 11762 1.3 \u0007Literature review on apps in physical education (2020) recommend increasing research on the use of technology in PE, as well as \nimproving the training of PE teachers in the integrated use of technology in the \nsubject. 1.4 \u0007The current research and research question Smartphone apps represent a potential means both to develop students as physical \nliterate, and to promote leisure-time PA from the context of the secondary school \nPE. In accordance with previous research, the number of smartphone apps, particu-\nlarly those related to PA and sports, has been on the Google Play (Arigo et al., 2020). This great quantity of smartphone apps represents a good opportunity to provide \nstudents with improved meaningful learning experiences, yet it also makes it quite 1 3 Education and Information Technologies (2022) 27:11759–11779 11763 difficult for teachers to select and implement the most suitable app in accordance \nwith curricular content to be taught in lessons. Although previous research has well \ndocumented the benefits from the use of smartphone apps on learning-related out-\ncomes in students such as increased levels of in-classroom and leisure-time PA, the \nquestion about the curricular approach to smartphone apps to be used by teachers to \nteach specific curricular contents in the classroom remains still to be examined. To \nthe best of our knowledge, no studies were found to analyse smartphone apps to pro-\nmote PA in the school context and its potential relationships to the curriculum and \npossible use by PE teachers. At the same time, Koekoek and van Hilvoorde (2018) \nthought over the need to understand the way teachers select digital technology, with-\nout losing educational goals. Further, this question becomes even more important \ndue to the great use of digital technology in general, and particularly smartphone \napps in PE to adapt the implementation of curriculum to the new instructional mod-\nels derived from the COVID-19 pandemic (López-Fernández et al., 2021). This research attempts to provide a response to the questions about which smart-\nphone apps on PA and sports are linked directly to secondary curriculum for PE, \nand how PE teachers might implement them to teach curricular content with the \npurpose of promoting leisure-time PA from the school context of PE. Therefore, the \naim of this research was threefold. The first objective was to carry out a systematic \nsearch for smartphone apps focused on PA and sport that are available in the Google \nPlay. The second objective included a quality assessment for every smartphone app \nincluded in this study. 1.4 \u0007The current research and research question The third objective consisted of the analysis of the relation-\nship between every smartphone app and the PE curriculum, as well as the provision \nof possible strategies for the implementation of each app. 2.1 \u0007Search strategy Systematic searches were individually completed by two researchers (R1 and R2) \nin Google Play Store between 12th January 2021 and 31st March 2021. The identi-\nfication of apps was performed using the following search terms: “physical educa-\ntion”, “physical activity”, “health”, “fitness”, “sport”, “body expression”, “corporal \nlanguage”, “dance”, “outdoor physical activity”. Search terms were entered into the \nGoogle Play Store in isolation or in different combinations based on Boolean logic \n(i.e., AND, NOT, OR). 2.3 \u0007Quality assessment In line with previous app reviews, an app quality assessment was completed through \nthe Mobile App Quality Ratings (MARS) (Stoyanov et al., 2015). It includes 23 \nitems divided into 5 dimensions: engagement (5 items, e.g., “interest”), functionality \n(4 items, e.g. “ease of use”), aesthetics (3 items, e.g. “Visual appeal: How well does \nthe app look?”), information quality (7 items, e.g. “accuracy of app description”), \nand subjective quality (4 items, e.g. “Would you recommend this app?”) (Stoyanov \net al., 2015). Every item is answered on a 5-point Likert scale ranging from 1 (inad-\nequate) to 5 (excellent). To gather quality evidence for each app, a global average \nscore from the mean of each MARS dimension was estimated (Stoyanov et al., \n2015). This assessment was independently carried out by three reviewers (R1, R3 \nand R6). Likewise, disagreements were solved by a consensus meeting between the \nreviewers and the main authors of this study. 2.2 \u0007Inclusion criteria and selection process In this phase, a second set of inclusion criteria was estab-\nlished to identify the apps that would be included in this study. They would be \nincluded when: a) their use is allowed to underage; b) they are free (Bearne et al., \n2020; Simões et al., 2018); c) user score of at least 4 (scale range 1 to 5) follow-\ning previous app reviews (Bearne et al., 2020; Simões et al., 2018); d) a number \nof user scores equal to 100 or higher (Bearne et al., 2020; Simões et al., 2018). Two reviewers (R5 and R6) individually evaluated the names and descriptions of \nthe apps against the established inclusion criteria using a checklist (answer: yes, \nor not). A consensus meeting was held to resolve disagreements between both \nreviewers with the help of the main author of this research. 2.2 \u0007Inclusion criteria and selection process The apps selection process was developed in two phases. In the first phase and \nafter removing duplicates, apps were retrained and registered in a database \nwhen they met the following criteria: a) they were written in Spanish or English \n(description and application), and b) they had the main goal focused on PA pro-\nmotion. Apps could be used in isolation or in combination with an external device 3 Education and Information Technologies (2022) 27:11759–11779 11764 (e.g., PA tracker) or a back-office system, for instance, to communicate with a PE \nor PA professional. This first phase was carried out by two reviewers (R3 and R4) \nwho individually evaluated the names and descriptions of the apps against these \ntwo criteria using a checklist (response: yes, or not). To solve disagreements, a \nconsensus meeting was held between both reviewers and the main author of this \nresearch. The apps identified in this first phase were, then, included in the sec-\nond selection phase. In this phase, a second set of inclusion criteria was estab-\nlished to identify the apps that would be included in this study. They would be \nincluded when: a) their use is allowed to underage; b) they are free (Bearne et al., \n2020; Simões et al., 2018); c) user score of at least 4 (scale range 1 to 5) follow-\ning previous app reviews (Bearne et al., 2020; Simões et al., 2018); d) a number \nof user scores equal to 100 or higher (Bearne et al., 2020; Simões et al., 2018). Two reviewers (R5 and R6) individually evaluated the names and descriptions of \nthe apps against the established inclusion criteria using a checklist (answer: yes, \nor not). A consensus meeting was held to resolve disagreements between both \nreviewers with the help of the main author of this research. (e.g., PA tracker) or a back-office system, for instance, to communicate with a PE \nor PA professional. This first phase was carried out by two reviewers (R3 and R4) \nwho individually evaluated the names and descriptions of the apps against these \ntwo criteria using a checklist (response: yes, or not). To solve disagreements, a \nconsensus meeting was held between both reviewers and the main author of this \nresearch. The apps identified in this first phase were, then, included in the sec-\nond selection phase. 3.1 \u0007App selection process Figure 1 shows a flow diagram for the app selection process. A total of 4650 apps \nin Google Play Store were initially identified. After removing duplicates (κ = 1.00) \nand out-of-scope apps (κ = 0.95), 432 app titles and descriptions were screened for \neligibility based on a set of inclusion criteria (κ ranging from 0.85 to 1.00). Once \nthis app selection process was completed, 18 apps were definitively included in this \nstudy. 2.4 \u0007Relationships between apps included and PE curriculum Once apps were included in this research, the authors individually downloaded the \ndifferent apps and proceeded to individually analyse them by taking into considera-\ntion the four content blocks (i.e., fitness, health and life quality; games and sports; \nbody expression; and outdoor physical activities), established after the analysis of \nthe Spanish secondary PE curriculum (Orden 15 of January, 2021; Royal Decree \n1105/, 2014), and its respective implementation in the classroom. Subsequently, \neach author proposed a series of possible practical applications for every app. Lastly, \na meeting was held to agree both points and to resolve disagreements among the \nauthors. 3 Education and Information Technologies (2022) 27:11759–11779 11765 2.5 \u0007Data analysis For categorical data from a checklist, the degree of agreement among reviewers was \ncomputed using the kappa (κ) index. Consistent with Landis and Koch (1977), there \nis an insignificant agreement with values below 0.20, small with values between \n0.21 and 0.40, moderate with values between 0.41 and 0.60, acceptable with values \nbetween 0.61 and 0.80, and excellent with values between 0.81 and 1.00. For con-\ntinuous data from MARS scores, the degree of agreement between reviewers was \nestimated by the intraclass correlation coefficient (ICC, model: bidirectional mixed \neffects, absolute agreement). According to Koo and Li (2016), there is a poor agree-\nment when values are less than 0.50, moderate when values are between 0.50 and \n0.75, good when values are between 0.75 and 0.90, and excellent when values are \ngreater than 0.90. 3.2 \u0007App quality The total MARS mean score was 4.00 (SD = 0.50) out of 5 (ICC = 0.90, \n95%CI = 0.80–1.00) for the totally of apps included in this research. The dimen-\nsion with the highest score was subjective quality (M = 4.30, SD = 0.50; \nICC = 0.89, 95%CI = 0.80–0.97), followed by functionally (M = 4.25, SD = 0.25; \nICC = 0.85 95%CI = 0.76–0.94), aesthetics (M = 4.20, SD = 0.20; ICC = 0.90, \n95%CI = 0.79–0.95), information quality (M = 3.75, SD = 0.70; ICC = 0.89, \n95%CI = 0.80–0.97), \nand \nengagement \n(M = 3.70, \nSD = 0.60; \nICC = 0.81, \n95%CI = 0.76–0.88). 3.3 \u0007Links with the secondary PE curriculum The 18 apps that met the inclusion criteria were organized according to the four \ncontent blocks present in the Spanish secondary PE curriculum: 1) fitness, health \nand life quality, 2) games and sports, 3) body expression, and 4) outdoor PA (Orden \n15 of January, 2021; Royal Decree 1105/, 2014). A description of each of them is 3 3 Education and Information Technologies (2022) 27:11759–11779 11766 Fig. 1 Flow diagram displaying the app selection process Fig. 1 Flow diagram displaying the app selection process shown, as well as proposals for possible applications to PE, which should be under-\nstood as ideas that teachers must adapt to variables such as the characteristics of \ntheir students and schools, among others. 3.3.1 \u0007Apps for fitness, health and life quality Table 1 yields eight apps to be used in PE for the curricular contents related to fit-\nness, health and life quality. These apps would allow students and/or teachers to \ncreate individual and collective physical challenges, to encourage them to prepare \nexercise for the group-class or to work with other subjects in an interdisciplinarity \nmanner. 3.3.2 \u0007Apps for games and sport Table 2 shows the two apps selected for games and sports contents in PE. Both apps \nwould enable students to organise competitions and to create teams for sports activi-\nties. In addition, the two apps would facilitate interdisciplinary work with other \nsubjects. 1 3 3.3.4 \u0007Apps for outdoor physical activities Table 4 shows the four apps that can be used in order to address outdoor physi-\ncal activities from a curricular perspective in PE. They would allow students to \norganise and conduct sports events in natural and/or urban environments, in addi-\ntion to facilitating work with other subjects in an interdisciplinary way. 1 3 1 3 Education and Information Technologies (2022) 27:11759–11779 11767 Table 1 Apps linked to the fitness, health and life quality curriculum content block\n(*) Based on (Cabrera Ramos et al., 2019; Cummiskey, 2011; Gil-Espinosa et al., 2020; Mokmin & Jamiat, 2021; Papastergiou et al., 2021; Vega-Ramírez et al., 2020)\nFitness, health and life quality\nApp\nDescription\nPossible practical applications in PE(*)\nAdidas Runtastic\nDevelops activity tracking apps and services such as train-\ning logs, data analysis, comparisons to other users, and \nother functions to help users improve their overall fitness\nCreation of individual or collective challenges. Interdisciplinarity with subjects such as Geography and history and biol-\nogy, among others. Encourage the autonomy of the students by facilitating them to prepare \nthe exercises and physical activity and then share it with the rest of the \ngroup-class. Gowod\nAllows to test and improve the mobility and flexibility\nMapmyrun\nKnow your distance, pace, calorie burn, elevation, and more\nRealfooding\nFood database, food scan, food log, user community\nSmartwod generator\nWorkouts to choose based on the equipment available\nStrava\nInternet service for tracking human exercise which incorpo-\nrates social network features. It is mostly used for cycling \nand running using GPS data\nStretching & Flexibility at home\nAllows you to know popular stretching exercises\nSworkit\nAllows to customize and play personalized video workouts Education and Information Technologies (2022) 27:11759–11779 11768 Table 2 Apps linked to the games and sports curriculum content block\n*) Based on (Andre & Hastie, 2018; Cecchini and Carriedo, 2020; Díaz, 2020; Vega-Ramírez et al., 2020)\nGames and sports\nApp\nDescription\nPossible practical applications in PE(*)\nLeverade real play\nOrganisation of team sports activities\nAllows students to be empowered by organizing competitions. Interdisciplinarity with subjects such as mathematics. Team maker\nCreation of groups and teams Table 2 Apps linked to the games and sports curriculum content block 1 3 3 Education and Information Technologies (2022) 27:11759–11779 11769 3.3.3 \u0007Apps for body expression Table 3 displays four apps to address the curricular contents of body-expression \nin PE. These apps emphasise the possibility of creating choreographies, rhythms \nand characterisations autonomously. Furthermore, they would allow students to \nwork on creative projects. 4 \u0007Discussion The objective of this research was threefold. The first of them was to carry out a \nsystematic search for smartphone apps focused on PA and sport that are available \nin the Google Play. The second objective included a quality assessment for every \nsmartphone app included in this study. The third objective consisted of the analy-\nsis of the relationship between every smartphone app and the PE curriculum, as \nwell as the provision of possible strategies for the implementation of each app. The main results revealed a total of 18 smartphone apps included: eight apps \nwere suitable for fitness, health and quality of life curricular content; two for \ngames and sports content; four for body expression content; and four apps for \noutdoor PA content. The mean quality score was 4.00. This research contributes \nto the scientific literature a list of apps that, linked to curriculum blocks of PE \ncontent, could help to improve their educational use by PE teachers, consistent \nwith Almusawi et al. (2021), who concluded that PE teachers need technology to \nsave class time, making it more convenient for PE. A second contribution of the \nresearch is the design of possible practical applications in PE of the apps, linked \nto each of the curricular contents, based on the opinion of PE teachers and the \nreview of the scientific literature. This study expands on literature by shedding \nthe need to link the use of apps to the school curriculum and its contents. When we refer to the educational context, teachers must be very demanding \nwith the criteria for selecting the apps to be used. Of the 4650 apps initially iden-\ntified, only 18 were selected for possible application in the educational context. This suggests a proliferation and offer of apps that, although they might seem \nuseful in the educational process, for various reasons are not recommended. Of \nthe 18 selected apps, eight have been linked to the “fitness, health and life qual-\nity” content block, two to “games and sport”, four to “body expression” and four \nto “outdoor physical activities”. This could be motivated by the creation of these \napps for society in general and not specifically for the educational context and, 1 3 3 3 Education and Information Technologies (2022) 27:11759–11779 11770 Table 3 Apps linked to the body expression curriculum content block\n*) Based on (Bodsworth & Goodyear, 2017; Gorman, et al. 4 \u0007Discussion 2019; Martínez, 2019; Phelps et al., 2021)\nBody expression\nApp\nDescription\nPossible practical applications in PE(*)\nAcrosport eps\nPre-made body figures and involve students in a creation process\nLearning application based on creative projects, choreographic compositions, \nrhythm, characterizations, among others. ust dance\nSongs and choreographies without the need for a game console\nTikTok\nIs a video-sharing social networking service\nYoucam makeup\nTry makeup trends with live camera. Edit selfies with retouching able 3 Apps linked to the body expression curriculum content block\n) Based on (Bodsworth & Goodyear, 2017; Gorman, et al. 2019; Martínez, 2019; Phelps et al., 2021)\nBody expression\nApp\nDescription\nPossible practical applications in PE(*)\nAcrosport eps\nPre-made body figures and involve students in a creation process\nLearning application based on creative projects, choreographic compositions, \nrhythm, characterizations, among others. ust dance\nSongs and choreographies without the need for a game console\nTikTok\nIs a video-sharing social networking service\nYoucam makeup\nTry makeup trends with live camera. Edit selfies with retouching Table 3 Apps linked to the body expression curriculum content block\n(*) Based on (Bodsworth & Goodyear, 2017; Gorman, et al. 2019; Martínez, 2019; Phelps et al., 2021)\nBody expression\nApp\nDescription\nPossible practical applications in PE(*)\nAcrosport eps\nPre-made body figures and involve students in a creation process\nLearning application based on creative projects, choreographic compositions, \nrhythm, characterizations, among others. Just dance\nSongs and choreographies without the need for a game console\nTikTok\nIs a video-sharing social networking service\nYoucam makeup\nTry makeup trends with live camera. Edit selfies with retouching Table 3 Apps linked to the body expression curriculum content block\n(*) Based on (Bodsworth & Goodyear, 2017; Gorman, et al. 2019; Martínez, 2019; Phelps et al., 2021)\nBody expression\nApp\nDescription\nPossible practical applications in PE(*)\nAcrosport eps\nPre-made body figures and involve students in a creation process\nLearning application based on creative projects, choreographic compositions, \nrhythm, characterizations, among others. Just dance\nSongs and choreographies without the need for a game console\nTikTok\nIs a video-sharing social networking service\nYoucam makeup\nTry makeup trends with live camera. Edit selfies with retouching 1 3 1 3 3 Education and Information Technologies (2022) 27:11759–11779 11771 Table 4 Apps linked to the outdoor PA curriculum content block\n(*) Based on (Gallego-Lema et al., 2017; Jansson et al., 2019; Michalakis et al., 2020; Ruiz et al. 4 \u0007Discussion 2020)\nOutdoor physical activity\nApp\nDescription\nPossible practical applications in PE(*)\nGeocaching\nIt is based on hiding and finding “treasures” (objects left by \nusers) with the help of GPS\nCarrying out tours on the natural or urban environment. Interdisciplinarity with other subjects such as geography and history, biology, mathematics, \nphysics and chemistry. Calculation of scales and mathematics. QR scanner\nDecode QR codes directly\nMaps\nNavigate with GPS in real time\nMunzee\nGame based on geolocation, that is, through locations via GPS Table 4 Apps linked to the outdoor PA curriculum content block\n*) Based on (Gallego-Lema et al., 2017; Jansson et al., 2019; Michalakis et al., 2020; Ruiz et al. 2020)\nOutdoor physical activity\nApp\nDescription\nPossible practical applications in PE(*)\nGeocaching\nIt is based on hiding and finding “treasures” (objects left by \nusers) with the help of GPS\nCarrying out tours on the natural or urban environment. Interdisciplinarity with other subjects such as geography and history, biology, mathematics, \nphysics and chemistry. Calculation of scales and mathematics. QR scanner\nDecode QR codes directly\nMaps\nNavigate with GPS in real time\nMunzee\nGame based on geolocation, that is, through locations via GPS 1\nTable 4 Apps linked to the outdoor PA curriculum content block\n(*) Based on (Gallego-Lema et al., 2017; Jansson et al., 2019; Michalakis et al., 2020; Ruiz et al. 2020)\nOutdoor physical activity\nApp\nDescription\nPossible practical applications in PE(*)\nGeocaching\nIt is based on hiding and finding “treasures” (objects left by \nusers) with the help of GPS\nCarrying out tours on the natural or urban environment. Interdisciplinarity with other subjects such as geography and history, biology, mathematics, \nphysics and chemistry. Calculation of scales and mathematics. QR scanner\nDecode QR codes directly\nMaps\nNavigate with GPS in real time\nMunzee\nGame based on geolocation, that is, through locations via GPS Table 4 Apps linked to the outdoor PA curriculum content block\n(*)Based on (Gallego Lema et al 2017; Jansson et al 2019; Michalakis et al 2020; Ruiz et al 2020)\nOutdoor physical activity\nApp\nDescription\nPossible practical applications in PE(*)\nGeocaching\nIt is based on hiding and finding “treasures” (objects left by \nusers) with the help of GPS\nCarrying out tours on the natural or urban environment. Interdisciplinarity with other subjects such as geography and history, biology, mathematics, \nphysics and chemistry. Calculation of scales and mathematics. 4 \u0007Discussion QR scanner\nDecode QR codes directly\nMaps\nNavigate with GPS in real time\nMunzee\nGame based on geolocation, that is, through locations via GPS 1 3 Education and Information Technologies (2022) 27:11759–11779 11772 therefore, the most of them are related to physical condition, health and quality \nof life. Therefore, it would be advisable to involve and coordinate educational adminis-\ntrations in order to design apps for educational purposes, both in collaboration with \nteachers and with companies specializing in new technologies. In this way, com-\npliance with the inclusion criteria that are determined adequate would be guaran-\nteed and the work of the teaching staff would be facilitated. In this vein, Almusawi \net al. (2021) suggests a focus on readiness encourages collaboration between sectors \nand industries to bring out the best innovative solutions for PE, as well as the col-\nlaborations of different Ministries in the app design. Just as the administration, for \nexample, coordinates, controls and finances the textbooks to be used, one should \nstart thinking about a similar implication with new technologies. The quality of apps \ndesigned for children and adolescents (evaluation of commitment and quality of \ninformation) correlates with the number of techniques identified to change health \nbehaviors (Ng et al., 2019). Another interesting variable to be considered in the \ndesign of the apps is that the interest in the use of mobile devices can have a novel \neffect that later disappears (Ridgers et al., 2018). However, initial motivation could \nserve to establish individual awareness of PA levels. PE teachers must assess the \napps, prior to use with students, so that they comply with the provisions of Organic \nLaw 3/, 2018, on the Protection of Personal Data and guarantee of digital rights, \nwhile also adjusting to the proposed objectives and the students involved. In minors, \nrequest authorization from legal guardians for use by students. Teachers are ultimately responsible for making the decision regarding the selec-\ntion and use of the apps, recommending a group or collective involvement of the \nstudents, whenever possible, in order to avoid isolation. A possible strategy could \nbe to provide challenging activities such as defiant, seeking self-efficacy, motiva-\ntion and that stimulate social support (Martins et al., 2016), paying special attention \nto promoting the adolescent’s perception of competence and positive experiences \n(Martins et al., 2018). In fact, presenting collective challenges has proven to be an \neffective methodological strategy (Gil-Espinosa et al., 2020). 4 \u0007Discussion Thus, physical activi-\nties that promote social relationships or include team activities are more likely to be \nsuccessful (Johansson & Ruud, 2016). Furthermore, combining school interventions \nwith family or community participation appears to be an effective strategy (Parody \net al., 2019). It is important to consider variables such as whether or not they are \nfree, the minimum age for registration and use, the need for authorization from legal \nguardians, the authorization of the educational center for the use of personal mobile \ndevices or the existence of advertising in the apps, among others. In any case, it is essential that teachers frame the use of apps for educational pur-\nposes such as increasing the students’ motivation towards PA, the implementation \nof more students-centered models or the work of digital competence, as some inves-\ntigations have already concluded (Gil-Espinosa et al., 2020; Zhao et al., 2016). In \nthis vein, Lau et al. (2011), in their review, provide evidence supporting the pos-\nitive effects of the use of digital technology in PA interventions for children and \nadolescents. 3 3 11773 Education and Information Technologies (2022) 27:11759–11779 Undoubtedly, the integration of the use of new technologies by students should \nguide us to work towards a responsible, formative, safe and educational use of them. In the case of PE, it is essential to guide students towards apps based on adequate \nscientific and technical criteria. Therefore, teachers must seek to empower students \nin the digital information age and, for this, they must have sufficient training to inte-\ngrate the use of digital technology in learning (Goodyear & Armour, 2018; Pereira \net al., 2019). This is how the Spanish curriculum establishes it in secondary educa-\ntion (Royal Decree 1105/, 2014). Therefore, taking into consideration that PE time during school hours is insuf-\nficient, the increase of PA levels of students during non-school hours should be pro-\nmoted (Gil-Espinosa et al., 2020). In this context, the use of apps is presented as a \nresource to promote strategies that increase adolescents’ PA and health (Böhm et al., \n2019; Cummiskey, 2011; Dute et al., 2016; Simões et al., 2018). Likewise, Lee and \nGao (2020) concluded that teachers are recommended to align the use of apps with \nthe PE learning goals. 4 \u0007Discussion Indeed, Cheng and Chen (2018) argued that the combination \nof traditional and a mobile APP support learning system is an effective approach \nthat would help students to improve their health-related fitness achievements. i\nThe strengths of this study include the systematic search for apps from Google Play, \nthe use of the MARS instrument to assess quality and its relationships with the PE cur-\nriculum in secondary education. Another strength is the participation of PE teachers of \nSecondary Education and University. Further, app ratings were performed by review-\ners and other ones participated in different phases. One highlight of this research is \nthat digital technology can be integrated with the PE curriculum to improve the teach-\ning-learning process and promote PA among students. Future research should test the \noverall effectiveness of apps designed to promote PA among adolescents considering \nits link with the official curriculum. Finally, research examining the accuracy of app \ncontent and developer expertise should also be of high priority. The limitations of this study include the exclusion of apps with low interrater \nreliability for the scoring of app quality through the MARS scale. This may be due \nto the subjective nature of some sections of the scale. The temporal relevancy of the \nresults from this study may also be considered a limitation. Another limitation was \nthe short period used for the individual assessment of each app. Likewise, it would \nbe convenient to carry out similar research in the App store. Conflict of interest The author declares no conflict of interest. Conflict of interest The author declares no conflict of interest. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, \nwhich permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as \nyou give appropriate credit to the original author(s) and the source, provide a link to the Creative Com-\nmons licence, and indicate if changes were made. The images or other third party material in this article \nare included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the \nmaterial. If material is not included in the article’s Creative Commons licence and your intended use is \nnot permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission \ndirectly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licen\nses/by/4.0/. 5 \u0007Conclusions The results suggest that popular apps for measuring and, potentially, promoting PA \nare of moderate quality if we look at its use in the school context. The app content \nquality, particularly the use of international guidelines on linking PA to the official \ncurriculum could be improved. Furthermore, based on the findings from this assess-\nment, we suggest that education administrators and teachers should be involved \nin the development of apps targeting student’s PA behaviors; that apps should be \ndeveloped considering the target group (aged, motivation…) and the respective 3 Education and Information Technologies (2022) 27:11759–11779 11774 PA recommendations established by the WHO (2020); and consider the official \ncurriculum.fl More effort is needed to incorporate components that are more likely to influ-\nence PA behavior change, which is ultimately what they were developed for, while \nmaintaining good functionality. Educational administration and developers should \ncollaborate to provide self-monitoring and social comparison in students to enhance \na comprehensive, competency-based education. In summary, this study seeks to \nadvance research on the use of apps in PE, focusing on its link with the curriculum \ncontents. Funding Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Funding for open access charge: Universidad de Málaga / CBUA. Rafael Burgueño is, specifically, sup-\nported by a “Margarita Salas” postdoctoral fellowship (grant number: RR_A_2021_02) from the Spanish \nMinistry of Universities. Adriana Nielsen-Rodríguez is supported by “Formación del Profesorado Univer-\nsitario” grants from the Ministry of Education, Culture and Sport (Spain), grant number FPU17/01554. Data availability The dataset generated for this study is available on request to the corresponding author. Declarations Competing interests The authors report there are no competing interests to declare. References Almusawi, H. A., Durugbo, C. M., & Bugawa, A. M. (2021). Innovation in physical education: Teach-\ners’ perspectives on readiness for wearable technology integration. Computers and Education, 167, \n104185. https://doi.org/10.1016/j.compedu.2021.104185 p\ng\nj\np\nAndre, M. H., & Hastie, P. A. (2018). Comparing teaching approaches in two student-designed games \nunits. European Physical Education Review, 24(2), 225–239. https://doi.org/10.1177/1356336X16\n681955 Arigo, D., Brown, M. M., Pasko, K., & Suls. (2020). Social comparison features in physical activity \npromotion apps: Scoping meta-review. Journal of Medical Internet Research, 22(3), e15642. https://\ndoi.org/10.2196/15642 Bearne, L. M., Sekhon, M., Grainger, R., La, A., Shamali, M., Amirova, A., Godfrey, E. L., & White, \nC. M. (2020). Smartphone apps targeting physical activity in people with rheumatoid arthritis: 1 3 3 Education and Information Technologies (2022) 27:11759–11779 11775 Systematic quality appraisal and content analysis. JMIR mHealth and uHealth, 8(7), e18495. https://\ndoi.org/10.2196/18495 Systematic quality appraisal and content analysis. JMIR mHealth and uHealth, 8(7), e18495. https://\ndoi.org/10.2196/18495 Bodsworth, H., & Goodyear, V. A. (2017). Barriers and facilitators to using digital technologies in the \ncooperative learning model in physical education. Physical Education and Sport Pedagogy, 22(6). https://doi.org/10.1080/17408989.2017.1294672 Böhm, B., Karwiese, S. D., Böhm, H., & Oberhoffer, R. (2019). Effects of mobile health including wear-\nable activity trackers to increase physical activity outcomes among healthy children and adolescents: \nSystematic review. JMIR mHealth and uHealth, 7(4), e8298. https://doi.org/10.2196/mhealth.8298 Brickwood, K. J., Watson, G., O’brien, J., & Williams, A. D. (2019). Consumer-based wearable activ-\nity trackers increase physical activity participation: Systematic review and meta-analysis. JMIR \nmHealth and uHealth, 7(4). https://doi.org/10.2196/11819. British Council for the Curriculum, Examinations and Assessment (2022) (9th May 2022). Key Stage \n4Age 14–16 / Qualifications. Council for the Curriculum, Examinations & Assessment. Rewarding \nLearning. https://ccea.org.uk/key-stage-3/curriculum/physical-education\nÁ Cabrera Ramos, J. F., Álamos Vásquez, P. A., Ariane, A. A., & Lagos Rebolledo, P. A. (2019). BArri-\ners to ICT integration in interdisciplinary articulation through physical education. Journal of Sport \nand Health Research, 11. http://www.journalshr.com/papers/Vol%2011_suplemento2/JSHR_V11_\nSUPL2_01.pdf p\nCalderón-Garrido, D., Ramos-Pardo, F. J., & Suárez-Guerrero, C. (2022). The use of Mobile phones \nin classrooms: A systematic review. International Journal of Emerging Technologies in Learning, \n17(06), 194–210. https://doi.org/10.3991/ijet.v17i06.29181 Casey, A., Goodyear, V. A., & Armour, K. M. (2017). Rethinking the relationship between pedagogy, \ntechnology and learning in health and physical education. Sport, Education and Society, 22(2), 288–\n304. https://doi.org/10.1080/13573322.2016.1226792f p\ng\nCecchini, J. A., & Carriedo, A. (2020). References Effects of an interdisciplinary approach integrating mathematics \nand physical education on mathematical learning and physical activity levels. Journal of Teaching in \nPhysical Education, 39(1). https://doi.org/10.1123/JTPE.2018-0274. Cheng, C. H., & Chen, C. H. (2018). Developing a Mobile APP-supported learning system for evaluating \nhealth-related physical fitness achievements of students. Mobile Information System, 2018, 1–16. https://doi.org/10.1155/2018/8960968 Cummiskey, M. (2011). There’s an app for that smartphone use in health and physical education. Journal \nof Physical Education, Recreation & Dance, 82(8). https://doi.org/10.1080/07303084.2011.10598\n672 Cushion, C., & Townsend, R. C. (2019). Technology-enhanced learning in coaching: A review of liter\nture. Educational Review, 71(5), 631–649. https://doi.org/10.1080/00131911.2018.1457010 Díaz, J. (2020). Challenges and opportunities of mobile technology in physical education. Retos: Nuevas \ntendencias en educación física. deporte y recreación, 37, 763–773. https://doi.org/10.47197/retos.\nv37i37.68851 Direito, A., Jiang, Y., Whittaker, R., & Maddison, R. (2015). Apps for IMproving FITness and increasing \nphysical activity among young people: The AIMFIT pragmatic randomized controlled trial. Journal \nof Medical Internet Research, 17(8). https://doi.org/10.2196/jmir.4568. f\n,\n( )\np\ng\nj\nDute, D. J., Bemelmans, W. J. E., & Breda, J. (2016). Using mobile apps to promote a healthy life-\nstyle among adolescents and students: A review of the theoretical basis and lessons learned. JMIR \nmHealth and uHealth, 4(2), e39. https://doi.org/10.2196/mhealth.3559 Gallego-Lema V, Muñoz-Cristóbal, J. A., Arribas-Cubero, H. F., & Rubia-Avi, B. (2017). Orienteering \nin the natural environment: Ubiquitous learning through the use of technology. Movimento (Porto \nAlegre, Brazil), 23(2), 755–770. https://doi.org/10.22456/1982-8918.71682. g\np\ng\nGil-Espinosa, F. J., Merino-Marbán, R., & Mayorga-Vega, D. (2020). Endomondo smartphone app to \npromote physical activity in high school students. Cultura, Ciencia y Deporte, 15(46), 465–473. https://doi.org/10.12800/ccd.v15i46.1597 Goodyear, V. A., & Armour, K. M. (2018). Young people’s perspectives on and experiences of health-\nrelated social media, apps, and wearable health devices. Social Sciences, 7(8). https://doi.org/10.\n3390/socsci7080137. Goodyear, V. A., & Armour, K. M. (2021). Young People’s health-related learning through social media: \nWhat do teachers need to know? Teaching and Teacher Education, 102. https://doi.org/10.1016/j.\ntate.2021.103340. 1 3 11776 Education and Information Technologies (2022) 27:11759–11779 Goodyear, V. A., Kerner, C., & Quennerstedt, M. (2019). Young people’s uses of wearable healthy life-\nstyle technologies; surveillance, self-surveillance and resistance. Sport, Education and Society, \n24(3). https://doi.org/10.1080/13573322.2017.1375907. p\ng\nGorman, T., Syrjä, T., & Kanninen, M. (2019). There is a world elsewhere: Rehearsing and train-\ning through immersive telepresence. Theatre, Dance and Performance Training, 10(2), 208–226. References https://doi.org/10.1080/19443927.2019.1610491 doi.org/10.1080/19443927.2019.1610491 Greve, S., Thumel, M., Jastrow, F., Krieger, C., Schwedler, A., & Süßenbach, J. (2022). The use of digi-\ntal media in primary school PE – Student perspectives on product-oriented ways of lesson stag-\ning. Physical Education and Sport Pedagogy, 27(1), 43–58. https://doi.org/10.1080/17408989.2020.\n1849597 Hyeonho, Y., & Taemin, H. (2021). The “APPropriate” use of Technology for Assessment in physical \neducation. Journal of Physical Education, Recreation & Dance, 92(5), 58–61. https://doi.org/10.\n1080/07303084.2021.1899540f Irish Proffessional Service for Teachers (2022) (9th May 2022). What is Physical Literacy? Supporting \nphysical education and the promotion of physical activity in primary schools.https://www.pdst.ie/\nphyslit Jansson, A. K., Lubans, D. R., Smith, J. J., Duncan, M. J., Bauman, A., Attia, J., Robards, S. L., & Plot-\nnikoff, R. C. (2019). Integrating smartphone technology, social support and the outdoor built envi-\nronment to promote community-based aerobic and resistance-based physical activity: Rationale and \nstudy protocol for the ‘ecofit’ randomized controlled trial. Contemporary Clinical Trials Communi-\ncations, 16. https://doi.org/10.1016/j.conctc.2019.100457.f Johansson, L., & Ruud, E. (2016) (9th May 2022). The effects of physical activity on health and learn-\ning outcomes among secondary school pupils in youth sport. (P. of the 8th C. for Y. S. L. In Mojca \nDoupona Topič (Ed.) (ed.); pp. 53–61). Faculty of Sport. http://134.209.184.170/themelight/prepa\nre/gain.php?chars=proceedings+of+the+8th+conference+for+youth+sport+ljubljana+2016&\nnumber=47bb3dd469fcd0bc20340d1146627af4 Kerner, & Goodyear, V. A. (2017). The motivational impact of wearable healthy lifestyle technologies: A \nself-determination perspective on Fitbits with adolescents. American Journal of Health Education, \n48(5), 287–297. https://doi.org/10.1080/19325037.2017.1343161 Kerr, C., Smith, L., Charman, S., Harvey, S., Savory, L., Fairclough, S. J., & Govus, A. (2018). Physical \neducation contributes to total physical activity levels and predominantly in higher intensity physical \nactivity categories. European Physical Education Review, 24(2), 152–164. https://doi.org/10.1177/\n1356336X16672127 Klenk, S., Reifegerste, D., & Renatus, R. (2017). Gender differences in gratifications from fitness app use \nand implications for health interventions. Mobile Media & Communication, 5(2), 178–193. https://\ndoi.org/10.1177/2050157917691557 g\nKoekoek, J., & van Hilvoorde, I. (2018). Digital Technology in Physical Education: Global perspectives. Routledge.fi Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients \nfor reliability research. Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.\njcm.2016.02.012 j\nKrause, & Sanchez, Y. (2014). Meeting the National Standards: There’s an app for that. Strategies, 27(4\n3–12. https://doi.org/10.1080/08924562.2014.917997 p\ng\nKrause, J. M., O’Neil, K., & Jones, E. (2020). Technology in Physical Education Teacher Education: A \ncall to action. Quest, 72(3), 241–259. References https://doi.org/10.1080/00336297.2019.1685553 Kwon, S., Welch, S., & Mason, M. (2020). Physical education environment and student physical activity \nlevels in low-income communities. BMC Public Health, 20(1), 147–156. https://doi.org/10.1186/\ns12889-020-8278-8 Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biom-\netrics, 33(1), 159. https://doi.org/10.2307/2529310 Lau, P. W. C., Lau, E. Y., Wong, D. P., & Ransdell, L. (2011). A systematic review of information and \ncommunication technology-based interventions for promoting physical activity behavior change in \nchildren and adolescents. Journal of Medical Internet Research, 13(3), e48. https://doi.org/10.2196/\njmir.1533 Lee, J. E. (2018). Children’s physical activity and psychosocial beliefs in Mobile application-based phys-\nical education classes. ProQuest Dissertations Publishing. 1 3 3 Education and Information Technologies (2022) 27:11759–11779 11777 Lee, J. E., & Gao, Z. (2020). Effects of the iPad and mobile application-integrated physical education \non children’s physical activity and psychosocial beliefs. Physical Education and Sport Pedagogy, \n25(6), 567–584. https://doi.org/10.1080/17408989.2020.1761953 López-Fernández, I., Burgueño, R., & Gil-Espinosa, F. J. (2021). High school physical education teach-\ners’ perceptions of blended learning one year after the onset of the COVID-19 pandemic. Inter-\nnational Journal of Environmental Research and Public Health, 18(21), 11146. https://doi.org/10.\n3390/ijerph182111146 Martínez, A. (2019). Aprendizaje móvil en Educación Física. Una propuesta de innovación en ESO. Innoeduca. International Journal of Technology and Educational Innovation, 5(2), 167–177. https://\ndoi.org/10.24310/innoeduca.2019.v5i2.5082 Martínez, A. (2019). Aprendizaje móvil en Educación Física. Una propuesta de innovación en ESO\nInnoeduca. International Journal of Technology and Educational Innovation, 5(2), 167–177. https Martins, J., Marques, A., Peralta, M., Palmeira, A., & Carreiro da Costa, F. (2016). Correlates of physical \nactivity in young people: A narrative review of reviews. Implications for physical education based \non a socio-ecological approach. Retos, 31, 292–299. https://doi.org/10.47197/retos.v0i31.53505 Martins, J., Marques, A., Rodrigues, A., Sarmento, H., Onofre, M., & Carreiro da Costa, F. (2018). Exploring the perspectives of physically active and inactive adolescents: How does physical edu-\ncation influence their lifestyles? Sport, Education and Society, 23(5), 505–519. https://doi.org/10.\n1080/13573322.2016.1229290 Mayer, R. E. (2011). Instructions based on visualizations. In R. E. Mayer & P. A. Alexander (Eds.), \nHandbook of research on learning (pp. 427–445). Routledge. Michalakis, V. I., Vaitis, M., & Klonari, A. (2020). The development of an educational outdoor adventu\nmobile app. Education Sciences, 10(12). https://doi.org/10.3390/educsci10120382.fi Mokmin, N. A. M., & Jamiat, N. (2021). The effectiveness of a virtual fitness trainer app in motivating \nand engaging students for fitness activity by applying motor learning theory. References Education and Infor-\nmation Technologies, 26, 1847–1864. https://doi.org/10.1007/s10639-020-10337-7f Muratori, L. M., Lamberg, E. M., Quinn, L., & Duff, S. V. (2014). Applying principles of motor learning \nand control to upper extremity rehabilitation. Elsevier, 26(2), 94–103. https://doi.org/10.1016/j.jht.\n2012.12.007.Applying Ng, K. W., Badura, P., Dzielska, A., Kokko, S., Woods, C. B., & Hamrik, Z. (2019). Test-retest reliability \nof survey items on ownership and use of physical activity trackers. Acta Gymnica, 49(2). https://doi.\norg/10.5507/ag.2019.001. Orden of January 15 (2021). by which the curriculum corresponding to the stage of Compulsory Second-\nary Education in the Autonomous Community of Andalusia is developed, certain aspects of atten-\ntion to diversity are regulated, the organization of the evaluation of the student’s learning process is \nestablished and the transition process between different educational stages (2021). Boletín Oficial de \nla Junta de Andalucía, 7, de 18 de enero de 2021. https://www.juntadeandalucia.es/boja/2021/507/3 Organic Law 3/2018 (9th May 2022), of December 5, on the Protection of Personal Data and gu\ndigital rights. https://www.boe.es/boe/dias/2018/12/06/pdfs/BOE-A-2018-16673.pdf rganic Law 3/2018 (9th May 2022), of December 5, on the Protection of Personal Data and guarantee \ndigital rights. https://www.boe.es/boe/dias/2018/12/06/pdfs/BOE-A-2018-16673.pdf Organisation for Economic Cooperation and Development (2019). How’s Life in the Digital Age? Oppor-\ntunities and Risks of the Digital Transformation for People’s Well-being. https://doi.org/10.1787/\n9789264311800-en.i Papastergiou, M., Natsis, P., Vernadakis, N., & Antoniou, P. (2021). Introducing tablets and a mobile fit-\nness application into primary school physical education. Education and Information Technologies, \n26(1), 799–816. https://doi.org/10.1007/s10639-020-10289-y p\ng\ny\nParody, L. M., Santos, M. J., Alcalá del Olmo, M. J., & Isequilla, E. (2019). The educational challenge of \nthe twenty-first century: Relevance of the cooperation between family and school. Espiral. Cuader-\nnos del profesorado, 12(24), 19–29. https://doi.org/10.25115/ecp.v12i24.2284 p\ng\np\nPenney, D., Jones, A., Newhouse, P., & Cambell, A. (2012). Developing a digital assessment in senior \nsecondary physical education. Physical Education and Sport Pedagogy, 17(4), 383–410. https://doi.\norg/10.1080/17408989.2011.582490 g\nPereira, S., Fillol, J., & Moura, P. (2019). Young people’s learning with digital media outside of school: \nFrom informal to formal. Comunicar: Revista Científica Iberoamericana de Comunicación y Edu-\ncación, 58, 41–50. https://doi.org/10.3916/C58-2019-04 p\ng\nPhelps, A., Colburn, J., Hodges, M., Knipe, R., Doherty, B., & Keating, X. D. (2021). A qualitative \nexploration of technology use among preservice physical education teachers in a secondary methods \ncourse. Teaching and Teacher Education, 105. https://doi.org/10.1016/j.tate.2021.103400. 1 3 11778 Education and Information Technologies (2022) 27:11759–11779 Phillips, A., Rodenbeck, M., & Clegg, B. (2014). References Apps for physical education: Teacher tested, kid \napproved: Column editor: Brent Heidorn. Strategies (Reston, Va.), 27(3), 28–31. https://doi.org/10.\n1080/08924562.2014.901047 Pyle, B. & Esslinger, K. (2014) (9th May 2022). Utilizing Technology in Physical Education: Address-\ning the obstacles of integration. The Delta Kappa Gamma Bulletin, Educational Technology, 80(2), \n35–39. https://psibetagamma.weebly.com/uploads/6/9/6/9/6969239/dkg bulletin winter 2014.pdf 35–39. https://psibetagamma.weebly.com/uploads/6/9/6/9/6969239/dkg_bulletin_winter_2014.pdf Ridgers, N. D., Timperio, A., Brown, H., Ball, K., Macfarlane, S., Lai, S. K., Richards, K., Mackintos Ridgers, N. D., Timperio, A., Brown, H., Ball, K., Macfarlane, S., Lai, S. K., Richards, K., Mackintosh, \nK. A., McNarry, M. A., Foster, M., & Salmon, J. (2018). Wearable activity tracker use among aus-\ntralian adolescents: Usability and acceptability study. JMIR mHealth and uHealth, 6(4), e86. https://\ndoi.org/10.2196/mhealth.9199 doi.org/10.2196/mhealth.9199 Royal Decree 1105/2014, of December 26, which establishes the basic curriculum for Compulsory Sec-\nondary Education and Baccalaureate (2015). Ministery of Education. Boletín Oficial Del Estado, of \nJanuary 3 of 2015. https://www.boe.es/buscar/act.php?id=BOE-A-2015-37 Ruiz, L.C., Obrador, E.M.S., Fernandez, M.A.P, Aznar, J.M. (2020) (9th May 2022). Orienteering in \nphysical education using smartphones. Revista de Psicología del deporte, 29(2), 1–16. https://www.\nrpd-online.com/index.php/rpd/issue/view/6/7 Sargent, J., & Casey, A. (2020). Flipped learning, pedagogy and digital technology: Establishing consist-\nent practice to optimise lesson time. European Physical Education Review, 26(1), 70–84. https://doi.\norg/10.1177/1356336X19826603 Schwartz, & Baca, A. (2016). Wearables and apps - modern diagnostic frameworks for health promo-\ntion through sport. Deutsche Zeitschrift Für Sportmedizin, 67(6), 131–136. https://doi.org/10.5960/\ndzsm.2016.237 SHAPE America– Society of Health and Physical Educators (2014) (9th May 2022). National stand-\nards & grade-level outcomes for K-12 physical education: Vol. Champaign, IL (Human Kinetics.). https://www.shapeamerica.org/standards/pe/upload/Grade-Level-Outcomes-for-K-12-Physical-\nEducation.pdf Simões, P., Silva, A. G., Amaral, J., Queirós, A., Rocha, N. P., & Rodrigues, M. (2018). Features, behav-\nioral change techniques, and quality of the most popular mobile apps to measure physical activity: \nSystematic search in app stores. JMIR mHealth and uHealth, 6(10), e11281. https://doi.org/10.2196/\n11281 Sinelnikov, O. A. (2012). Using the iPad in a sport education season. Journal of Physical Education, Rec-\nreation & Dance, 83(1), 39–45. https://doi.org/10.1080/07303084.2012.10598710 p\ng\nStoyanov, S. R., Hides, L., Kavanagh, D. J., Zelenko, O., Tjondronegoro, D., & Mani, M. (2015). Mobile \napp rating scale: A new tool for assessing the quality of health mobile apps. JMIR mHealth and \nuHealth, 3(1), e27. https://doi.org/10.2196/mhealth.3422 p\ng\nVega-Ramírez, L., Notario, R. O., & Ávalos-Ramos, M. A. (2020). The relevance of mobile applica-\ntions in the learning of physical education. Education Sciences, 10(11), 329. https://doi.org/10.3390/\neducsci10110329 WHO (2020) (9th May 2022). WHO Guidelines on physical activity and sedentary behaviour. In World \nHealth Organization. https://www.who.int/publications/i/item/9789240015128 Yu, H., Hodges P.H. &. Lorenz, K.A. (2018). An integration of Mobile applications into physical educ\ntion programs. Strategies, 31(3), 13–19, https://doi.org/10.1080/08924562.2018.1442275.f Yu. (2020). The effects of Mobile app technology on technique and game performance in physical educ\ntion. ProQuest Dissertations Publishing.l Zhao, J., Freeman, B., & Li, M. (2016). Can mobile phone apps influence people’s health behavior \nchange? An evidence review. Journal of Medical Internet Research, 18(11), e287. https://doi.org/\n10.2196/jmir.5692 Zhu, X., & Dragon, L. A. (2016). Physical activity and situational interest in mobile technology inte-\ngrated physical education: A preliminary study. Acta Gymnica, 46(2), 59–67. doi.org/10.2196/mhealth.9199 https://doi.org/10.\n5507/ag.2016.010 Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published \nmaps and institutional affiliations. 1 3 1 3 11779 Education and Information Technologies (2022) 27:11759–11779 Authors and Affiliations\nFrancisco Javier Gil‑Espinosa1 · Adriana Nielsen‑Rodríguez2 · \nRamón Romance2 · Rafael Burgueño3 \n\t\nAdriana Nielsen‑Rodríguez \n\t\nadriananielsen@uma.es\n\t\nRamón Romance \n\t\narromance@uma.es\n\t\nRafael Burgueño \n\t\nrmburgueno@ual.es\n1\t\nAndalucía Tech, Faculty of Educational Sciences, IBIMA, Researching in Sport Sciences (RSS) \nResearch Group, Universidad de Málaga, Campus de Teatinos s/n, 29010 Málaga, Spain\n2\t\nAndalucía Tech, Faculty of Educational Sciences, Department of Didactics of Languages, \nArts and Sports, Human Kinetics and Body Composition Laboratory, Universidad de Málaga, \nCampus de Teatinos s/n, 29010 Málaga, Spain\n3\t\nDepartment of Education, University of Almeria, Almeria, Spain Francisco Javier Gil‑Espinosa1 · Adriana Nielsen‑Rodríguez2 ·\nRamón Romance2 · Rafael Burgueño3 Adriana Nielsen‑Rodríguez \nadriananielsen@uma.es Ramón Romance \narromance@uma.es 1\t\nAndalucía Tech, Faculty of Educational Sciences, IBIMA, Researching in Sport Sciences (RSS) \nResearch Group, Universidad de Málaga, Campus de Teatinos s/n, 29010 Málaga, Spain 1\t\nAndalucía Tech, Faculty of Educational Sciences, IBIMA, Researching in Sport Sciences (RSS) \nResearch Group, Universidad de Málaga, Campus de Teatinos s/n, 29010 Málaga, Spain 2\t\nAndalucía Tech, Faculty of Educational Sciences, Department of Didactics of Languages, \nArts and Sports, Human Kinetics and Body Composition Laboratory, Universidad de Málaga, \nCampus de Teatinos s/n, 29010 Málaga, Spain 3\t\nDepartment of Education, University of Almeria, Almeria, Spain 1 3"
|
https://openalex.org/W4361938710
|
https://figshare.com/articles/journal_contribution/Supplementary_Data_from_Proliferation_and_AKT_Activity_Biomarker_Analyses_after_Capivasertib_AZD5363_Treatment_of_Patients_with_ER_sup_sup_Invasive_Breast_Cancer_STAKT_/22479237/1/files/39930741.pdf
|
English
| null |
Supplementary Data from Proliferation and AKT Activity Biomarker Analyses after Capivasertib (AZD5363) Treatment of Patients with ER<sup>+</sup> Invasive Breast Cancer (STAKT)
| null | 2,023
|
cc-by
| 38
|
Supplementary Figure 1. The PI3K/AKT/mTOR signaling pathway and proof-of-
mechanism biomarkers for capivasertib Supplementary Figure 1. The PI3K/AKT/mTOR signaling pathway and proof-of-
mechanism biomarkers for capivasertib pp
y
g
g
g p
y
p
mechanism biomarkers for capivasertib
|
https://openalex.org/W2093069073
|
https://zenodo.org/records/1518863/files/article.pdf
|
English
| null |
LABORATORY AND PLANT: AN APPARATUS FOR DIGESTING CRUDE FIBER
|
The journal of industrial and engineering chemistry/Journal of industrial and engineering chemistry
| 1,916
|
public-domain
| 2,381
|
T H E J O U R N A L OF I N D U S T R I A L A N D ENGINEERING C H E M I S T R Y
Vol. 8, No. The
water in falling to E sucks in a sample of the air to
he tested. Next the valve M is closed and the platinum
wire N electrically heated. The methane in the com-
bustion chamber burns to carbon dioxide and water,
thus:
CH, i-
2 0 2 = COS + 2H20 ,
i. e., contraction in volume of the sample occurs
corresponding to the amount of methane originally
present in the sample. At the end of
I'/~ min. the electric current is turned off and the instrument
shaken t o cool the gases in the combustion space and
bring them to the same temperature as the gases
were a t the beginning of the test. The water in the
combustion space will then rise to take the place of
the burned-out gas and fall a corresponding distance
in the glass tube B, i. e., fa!l to a point on the graduated
scale that will show the per cent of methane originally
in the sample. A previous calibration, once and for
all time, fixes the proper graduations on this scale. The latter carries four graduation columns, one for
methane and natural gas, one for hydrogen, one for
gasoline vapor, and one for coal gas. FIO. I The electrical energy for heating the platinum wire
is derived from a miner's electric cap lamp storage
battery, thereby providing the electric cap lamp with
a gas detector, something it doe's not possess at present
and which has been an objection to the use of electric
lamps in gaseous mines. A t Fig. 111 is shown another gas detector similar
in operation except it contains two small dry cells,
A and B, for supplying the electrical energy. These
cells cost about 7 cents apiece and will operate the
detector for a minimum of 20 determinations. When
they are used up, they are as easily replaced (by un-
screwing the cap D ) as the dry cells of the well-known
Ever-Ready flashlight batteries. FIO. I about 7 . j cm., length (vertical) about 10 cm.; this
tube is soldered to the tube (d) about 3 . 5 cm. above
the cone.' The author is indebted t o several members of the
Bureau of Mines for assistance in developing this in-
strument. Dr. G. A: Hulett, Consulting Chemist, first
suggested that an apparatus of this nature be con-
structed, and 0. P. T H E J O U R N A L OF I N D U S T R I A L A N D ENGINEERING C H E M I S T R Y
Vol. 8, No. Hood, Chief Mechanical Engineer,
rendered valuable assistance in designing it. THE DELIVERY TUBES-The
cooling water is deliv-
ered into the condensers from the water-main by
branch tubes each provided with a stop-cock. These
cocks are ordinary brass gas-cocks, in the nozzles of
which are soldered copper tubes ahout 4 mm. inside
diameter and 2 4 cm. long. The adjustment should
be such that the lower ends of these tubes are about
4 mm. above the bottoms of the condensers when they
are suspended and about I to 2 cm. below the top of
the cone when the condensers rest on the beakers. The condensers are suspended from a little catch or
hooks soldered to the delivery tubes. Whether the
condensers he suspended above the beakers or he
resting on them, the water circulates through them
freely and spills into a trough back of the heakers-
no rubber connections. A horizontal strip with holes
in it, through which the overflow tubes pass, keeps the
exit ends of these tubes centered over the trough. I t is important that these ends should always he visi- Patent claims have been filed by the Bureau of
Mines on the above instruments and means for ex-
ploiting it are being considered so the best interests
of the public will be served. PITTSBUROH PITTSBUROH I Since writins the above. an ordinary glass flask. whore neck i s pro-
vided with a suitable side-tube. has been used quite satisfactorily for several
months instead of one of the metallic condensers. I TXIS JOUENAL, a (i910). 280. T H E J O U R N A L OF I N D U S T R I A L A N D ENGINEERING C H E M I S T R Y
Vol. 8, No. T H E J O U R N A L OF I N D U S T R I A L A N D ENGINEERING C H E M I S T R Y
Vol. 8, No. 366 THE CONDENSERS-In
Fig. 1 eight of the condensers
are shown resting on the beakers. Two are shown sus-
pended above the beakers. One is suspended. giving
a view of the tube, through which the cooling water
passes out of the condenser. Another, lying on the
heating plate, affords a top view. The parts of a
condenser (see Fig. 11) are: (a) a zinc or copper-in
this case it chances to be zinc-shell
(hemisphere)
7 . 6 cm. in diameter; (b) a copper ring, similar to
those used on water baths, about I O cm. in diameter,
the circular opening in the ring being about 5 . 7 cm. in diameter, this ring is soldered to the shell; (c) a
copper cone whose big end is about j . 7 cm. in diam-
eter, small end about I cm. in diameter ( I . 5 cm. would
be better) and vertical height ahout 4 . 5 cm., this
cone is soldered to the ring; ( d ) a copper tube about
I cm. in diameter (I. 5 cm. would be better). and about
11 cm. long, soldered to the cone; in the side of this
tube near its top is a small hole, by means of which
the condenser may be suspended on a catch or hook
on the influx tube; ( e ) an elbow-shaped exit, or over-
flow, tube, ahout 4 mm. in inside diameter (I cm. would he better), length (horizontal) to the elbow valve M. Next, the instrument is raised t o the place
where the sample is to be collected and the water
allowed to seek the former levels at D and E . The
water in falling to E sucks in a sample of the air to
he tested. Next the valve M is closed and the platinum
wire N electrically heated. The methane in the com-
bustion chamber burns to carbon dioxide and water,
thus:
CH, i-
2 0 2 = COS + 2H20 valve M. Next, the instrument is raised t o the place
where the sample is to be collected and the water
allowed to seek the former levels at D and E . AN APPARATUS FOR DIGESTING CRUDE FIBER
By J. M. P~CBBL
Received May 28, 1915 In an article'.by
the author several years ago,
it was stated that round-bottom flasks, through which
cold water is passing, set on the beakers in which crude
fiber is digesting, prevent evaporation and hold froth-
ing in check. The apparatus pictured here is the out-
growth of that idea. The distinctive feature of it is
the round-bottom reflux condenser. T H E J O C R N A L OF I N D C S T R I A L A N D ENGINEERING C H E M I S T R Y 367 by the heat of one small Bunsen burner; and the ash
is as nearly perfect as the writer and designer of the
furnace has ever seen. ble so that one may at any time know that there is
ample flow of water through the condensers. These
tubes should not, therefore, dip into the trough. The
trough (galvanized sheet iron) is about 3 . 5 cm. wide,
wafer
about 13 cm. deep and. of
course, extends
along
the
entire length of the “plant.” A piece of asbestos board 0 . 7 X 19 X 19 cm., in
whose center is cut a circular opening Q cm. in diam-
eter, is laid on an ordinary laboratory tripod. On this
board is set a disc of wrought iron (cast iron would
probably be better) about 2.5 mm. thick and 13.5
cm. in diameter (14. j cm. would be better since it
would furnish space for several more incinerations). The disc is supported on three legs, I cm. long, screwed
into it. On the disc are set 1 2 crucibles. alundum
RA 98, 3 . 8 cm. high and 3.7 cm. in outside diameter,
in which the fiber has been filtered, washed, dried
and weighed. On the asbestos board is placed an as-
bestos cylinder 15. j cm. in diameter and 6 . 5 cm. deep. The cylinder is covered with a piece of asbestos
board of the same dimensions as the one previously
described, but having in its center a hole only 3. j
cm. in diameter. A small Bunsen burner, whose gas
tip has been widened somewhat by inserting the point
of a penknife blade, furnishes the heat. Received November 15, 1915 Received November 15, 1915 Occasion arose in this laboratory to make use
of a gas-heated thermostat, but a great deal of incon-
venience was experienced because of
varying gas
pressure. I n casting about for some simple pressure
regulator, the apparatus described below and illus-
trated in Fig. I was finally hit upon as a practical
solution of the trouble. It will be noted that the
apparatus is constructed from material readily ob-
tainable in almost any laboratory; also that there
is no great skill required for its assembly. Practically
every chemist has the rudimentary knowledge of
glass-blowing necessary to make the one “Y” re-
quired. LABORASORY
OF THE NORSH CAROLINA
DEPARTMENT
OF AGRICULSURE,
RALEIGH LABORASORY
OF THE NORSH CAROLINA
DEPARTMENT
OF AGRICULSURE,
RALEIGH AN APPARATUS FOR DIGESTING CRUDE FIBER
By J. M. P~CBBL
Received May 28, 1915 The burner
should be set o n a block so as to bring its top close to
the iron disc, thus causing the flame to spread over
the under surface of the disc. In a few minutes
(6 or 8) the disc and the crucibles will be brought to a
bright glow. wafer
FIG. 11-REFLUX CONDENSE
FOR USE ON BEAKERS
IN
CRUDE FIBER DESER-
( 1 1 4 Size)
MINASION FIG. 11-REFLUX CONDENSER
FOR USE ON BEAKERS
IN
CRUDE FIBER DESER-
( 1 1 4 Size)
MINASION
blast could, however,
e t
e
e gt
o
t e
p a t. These condensers prevent
completely loss of liquid by
evaporation, and suppress, or
hold
sufficiently
in
check,
frothing. But
the
boiling
must be started gently and
conducted
gently;
violent
ebullition is not at all neces-
sary and is to be avoided. Frothing is due to bubbles
filled with steam-and
doubt-
less to some extent
with
hot air; condense the steam
and the bubbles or
froth
collapse. The upper region
of the beakers is kept cool
by
the
condensers; hence
there is no need of a cold
blast of air-it
is the cold-
”ress, not the blast, that checks
the frothing. A
cold air-
be easily introduced through
these condensers. Such a condenser is shown on a
beaker in the foreground of Fig. I. FIG. 11-REFLUX CONDENSE
FOR USE ON BEAKERS
IN
CRUDE FIBER DESER-
( 1 1 4 Size)
MINASION The cylinder is easily and quickly made. Strips
of suitable width (about 6. j cm.) are cut from asbestos
board of suitable thickness (about 7 mm.) and their
ends beveled by shaving with a sharp knife. These
strips are saturated with water, and, while wet, are
wound, two or three thicknesses, around a suitable
core (an empty 2-kilo ether can dr a piece of sheet-
iron stovepipe), bound in place by two or three bands
of wire and allowed to dry out at room temperature
and finally on or near a steam radiator. The core is
removed and the lapped ends of the strips riveted. Beakers of joo cc. capacity, 7 . j cm. inside diam-
eter and 14 cm. high, Jena glass, are preferred; but
beakers of 600 cc. capacity, 8 cm. diameter, I j . 5 cm. high, can be used interchangeably with the smaller
ones. AN APPARATUS FOR DIGESTING CRUDE FIBER
By J. M. P~CBBL
Received May 28, 1915 The beakers can be given a rotary shaking
without lifting them from the heating plate. After
the boiling has been gotten under way and the beak-
ers have been rotated a time or two, the apparatus
may be left to itself. LABORATORY
OF SHE NORTH CAROLINA
DEPARSMENT
OF AGRICULTURE,
RALEIGH LABORATORY
OF SHE NORTH CAROLINA
DEPARSMENT
OF AGRICULTURE,
RALEIGH The heating plate (wrought iron) is about 4 mm. thick and has a top surface about 9 . j cm. wide. Along
its entire length is turned a flange about 2. j cm. wide. The object of the flange is to give rigidity
and prevent sagging or buckling. LABORATORY
OF SHE NORTH CAROLINA
DEPARSMENT
OF AGRICULTURE,
RALEIGH A FURNACE FOR CRUDE FIBER INCINERATION
By J. M. PICKEL
Received May 28, 1915 If the chemist have at his dispbsal the requisite
electric current and $50 to $100, he will be apt to invest
in an electric furnace. If he have but a dollar or two,
he can, with that capital and with materials ready
to hand in the laboratory, construct a wonderfully
efficient incinerating furnace. Such a furnace, oc-
cupying on the table a space 2 0 X 2 0 cm. (8 X 8
in.), is shown in Fig. I in the previous article (page
366), at the left uncovered, at the right as it appears
when performing. Twelve crude fiber incinerations
are made in I j to 2 0 min. on, or in, this furnace A and C are rigidly fastened, in the position shown,
to a board which acts as a mounting for the whole
apparatus. B is suspended inside of A on the end of
E by a rubber stopper. E is so arranged that it may
|
W2897117717.txt
|
https://www.repo.uni-hannover.de/bitstream/123456789/4114/1/Dzelme_2018_IOP_Conf._Ser.__Mater._Sci._Eng._424_012083.pdf
|
en
|
Simulation of electrically induced vortical flows
|
IOP conference series. Materials science and engineering
| 2,018
|
cc-by
| 1,743
|
IOP Conference Series: Materials Science and Engineering
PAPER • OPEN ACCESS
Simulation of electrically induced vortical flows
To cite this article: V. Dzelme et al 2018 IOP Conf. Ser.: Mater. Sci. Eng. 424 012083
View the article online for updates and enhancements.
This content was downloaded from IP address 194.95.159.70 on 29/11/2018 at 11:29
9th International Symposium on Electromagnetic Processing of Materials (EPM2018)
IOP Publishing
IOP Conf. Series: Materials Science and Engineering
424 (2018) 012083 doi:10.1088/1757-899X/424/1/012083
1234567890‘’“”
Simulation of electrically induced vortical flows
V. Dzelme1, A. Jakovics1, A. Chudnovsky2, E. Baake3
1
Laboratory for Mathematical Modelling of Environmental and Technological Processes, Department of Physics,
University of Latvia, 23 Zellu street, Riga, Latvia
2
BIS Global Ltd., 79/81-15 Kr. Valdemara street, Riga, Latvia
3
Institute of Electrotechnology, Leibniz University of Hannover, 4 Wilhelm Busch street, D-30167 Hannover, Germany
Corresponding author : valters.dzelme@lu.lv
Abstract
In this work, we study electrically induced flows numerically using open-source software and experimentally. Two
systems are considered - single and multiphase (free surface) flows driven by axisymmetric DC and AC current injection.
We investigate characteristic velocity and free surface deformation dependence on the injected current and validate it with
experimental data. Results show that maximum axial velocity is a linear function of injected current, but free surface
deformations are approximately proportional to current squared.
Keywords : magnetohydrodynamics, electrovortex, simulation
Introduction
Electrically induced flows are found in many applications – arc furnaces, welding, etc. [1]. The flow is driven by Lorentz
force created by the interaction between injected current and its own magnetic field. Depending on specific electrode
configuration different vortical structures can form.
Electrovortical phenomena have been extensively studied theoretically and experimentally [1]. Numerical work usually
considers simplified systems, such as hemispherical arc furnaces [2][3] using commercial software. Free and open-source
software is not widely used mostly due to lack of user interface and complicated coupling between, for example,
electromagnetic and fluid dynamics simulations. The recent development of EOF-Library [4], which is a coupler between
Elmer [5] and OpenFOAM [6] and is an open-source library itself, simplifies the task of simulating complex coupled
systems. The coupling library has been validated against commercial solutions [7].
The goal of this work is to apply and validate open-source software for electromagnetically induced vortical flows, as
well as to study two specific systems with industrial applications in mind. The first (system A) is a small cylindrical
container with electric current flowing through the melt between a small electrode on top and conducting bottom of
container. It is a model system of typical DC arc furnaces. The second system (system B) is more complex – it consists of
cylindrical container with 50Hz alternating current flowing between a small bottom electrode and conducting side wall.
In this case, the current flows through a layer of liquid metal causing free surface deformations near the small electrode
at the center. Possible application of this system can be slag removal from the melt in special applications – surface
deformation is pushing the slag towards the side wall where it can be easily collected – this is demonstrated experimentally.
Another application could be surface wave generation and flow intensification for improved melt purification via
evaporation from the surface.
Numerical model
Software used for electromagnetics is Elmer, which solves the Maxwell’s equations in potential formulation using the
finite element method, but for fluid dynamics – OpenFOAM, which solves the Navier-Stokes, k-ω SST turbulence model
equations, and for system B also transport equation for volume fraction, using the finite volume method. The coupling is
achieved with the EOF-Library. The schemes of system A and B are shown in Fig. 1 and 2, respectively. Relevant material
properties are listed in Tab.1.
Since the 2D axisymmetric solver in Elmer is not designed to solve for azimuthal component of magnetic flux density (or
current in meridional plane), quasi 2D approach is used modelling 2° sector of full cylinder. Electromagnetics mesh for
system A consists of 133k hexahedral elements (three layers in azimuthal direction), but system B – 180k hexahedral
elements (two layers in azimuthal direction).
Fluid flow is also solved in quasi 2D approximation as 2° sector of full cylinder, as OpenFOAM does not have pure 2D
capabilities. Fluid dynamics mesh for system A is 22k hexahedral elements (one element thick wedge), but for system B
– 250k hexahedral elements (one element thick wedge). The electromagnetic force is computed only once, and the flow
simulation is performed with constant momentum source.
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution
of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Published under licence by IOP Publishing Ltd
1
9th International Symposium on Electromagnetic Processing of Materials (EPM2018)
IOP Publishing
IOP Conf. Series: Materials Science and Engineering
424 (2018) 012083 doi:10.1088/1757-899X/424/1/012083
1234567890‘’“”
Fig. 1: System A
Fig. 2: System B
Table 1. Material properties
Melt density, kg/m3
Melt electric cond., S/m
Electrode electric cond., S/m
Melt viscosity, mPa·s
Surface tension, N/m
System A
13534
8.6·105
5.8·107
2.20
-
System B
6440
3.46·106
5.8·107
2.40
0.534
Experiments
Experimental results for system A are taken from [8], where liquid mercury flow velocity was measured using optical
fiber sensor. Experiments for system B are performed at the Institute of Electrotechnology of the Leibniz University of
Hannover. The picture of the setup is shown in Fig. 3. The two side electrodes are of the same polarity; the other pole is
a small electrode at the bottom not seen here; dimensions as shown in Fig.2. Bottom wall of the container is plastic, so
that the current is flowing from the bottom electrode to the side wall only through the melt. The current is provided by a
50Hz voltage source. At 50Hz, the skin depth in liquid galinstan is approximately 4cm.
Fig. 3: System B experimental setup
Results
System A
Example of current and velocity distributions are shown in Fig. 4 and 5, respectively. The highest current density is near
the edge of the top electrode, and this is also where the Lorentz force concentrates, pushing the melt away from the
electrode. Axial velocity distribution on axis for various injected current values is shown in Fig. 6. In Fig. 7, we plot
maximum axial velocity (20mm from the top electrode) as a function of injected current. The theoretical analysis provided
in [8] says that axial velocity in such system is proportional to the injected current and it is seen in simulation and
experimental results.
2
9th International Symposium on Electromagnetic Processing of Materials (EPM2018)
IOP Publishing
IOP Conf. Series: Materials Science and Engineering
424 (2018) 012083 doi:10.1088/1757-899X/424/1/012083
1234567890‘’“”
Fig. 4: Example current distribution
Fig. 5: Example velocity distribution, I=1kA
Fig. 6: Velocity on axis
Fig. 7: Max. axial velocity vs current
System B
Example of current distribution (without surface deformation) is shown in Fig. 8 and velocity and surface deformation at
Irms=1000A is shown in Fig. 9. Free surface deformation height depending on current squared is shown in Fig. 10. In Fig.
11, we plot maximum axial velocity as a function of injected current.
Fig. 8: Example current distribution, h0=20mm
Fig. 9: Example velocity and surface deformation,
h0=20mm, Irms=1kA
Fig. 10: Surface deformation vs current squared
Fig. 11: Max. axial velocity vs current
3
9th International Symposium on Electromagnetic Processing of Materials (EPM2018)
IOP Publishing
IOP Conf. Series: Materials Science and Engineering
424 (2018) 012083 doi:10.1088/1757-899X/424/1/012083
1234567890‘’“”
In this system, no velocity measurements were performed at this stage, but are planned in the future. Deformation height
disagreement between experiments and simulations can be due to many reasons. First, the surface height measurements
were not done using precise equipment – they were manual measurements using simple tools. Second, the material
properties (electric conductivity, viscosity etc) were not exactly known – values taken from literature may not be
completely the same as in the experiments. Third, even the slightest imperfections (e.g., electrode centering) can cause
different flow patterns and surface deformations. The numerical model, of course, is an idealization, especially being
axisymmetric which does not allow the jet movement away from the axis. Nevertheless, the results of both simulation
and experiment are the same order of magnitude and show the same tendency – in the considered range of currents surface
deformation is approximately proportional to the square of injected current.
Finally, to study possible slag removal towards container walls by free surface deformation, we use small (d=2mm) plastic
particles on the surface. Particle distribution without current and with Irms=1000A is shown in Fig. 12 and 13, respectively.
It is clearly seen that the surface deformation moves the “slag” away from the zone above the small bottom electrode. To
move the particles even closer to the side wall, larger or several electrodes, or higher current could be used.
Fig. 13: Particle “slag” distribution; h0=20mm,
Irms=1000A
Fig. 12: Particle “slag” distribution; h0=20mm, no current
Conclusions
Firstly, numerical model of single-phase electrically induced flow in a cylindrical container was validated using
experimental data – maximum axial velocity is in a good agreement to the measurements. The proportionality of axial
velocity to the injected current is also a result agreeing to theoretical considerations [8].
An experimental device was created to study liquid metal free surface deformations induced by current flowing between
small bottom electrode and conducting side wall. It was found that the deformation height is approximately proportional
to square of the injected current in the considered range. Like in the first system, the maximum axial velocity is
proportional to current.
The goal of applying open-source software for electrovortical flow simulations is achieved. The coupling solution EOFLibrary is a very efficient interface between Elmer and OpenFOAM, which enables virtually any variable transfer and
interpolation between different meshes of electromagnetic and fluid flow simulation.
Further experimental and numerical work will include different bottom electrode configurations to control the free surface
deformations, as well as studying the process instabilities, as the deformation height was observed to be quite unstable,
which can be of even more importance in industry-scale equipment.
References
1. V. Bojarevics, J. A. Freibergs, E.I. Shilova, E.V. Scherbinin, Electrically Induced Vortical Flows, Kluwer
Academic Publishers, 1989
2. O. Kazak, Magnetohydrodynamics, Vol. 50 (2014), pp. 193-205
3. Y. Ivochkin et al., Magnetohydrodynamics, Vol. 51 (2015), pp. 337-343
4. EOF-Library, https://eof-library.com
5. ElmerFEM, https://www.csc.fi/web/elmer
6. OpenFOAM, https://openfoam.org
7. J. Vencels et al., Magnetohydrodynamics, Vol. 53 (2017), pp. 643–652
8. V.G. Zhilin et al., Magnetohydrodynamics, Vol. 22 (1986), pp. 110-116
4
|
|
https://openalex.org/W3112768262
|
https://uia.brage.unit.no/uia-xmlui/bitstream/11250/2733119/4/Peck.pdf
|
English
| null |
Small pelagic fish in the new millennium: A bottom-up view of global research effort
|
Progress in oceanography/Progress in Oceanography
| 2,021
|
cc-by
| 49,866
|
* Corresponding author.
E-mail address: myron.peck@nioz.nl (M.A. Peck). Small pelagic fish in the new millennium: A bottom-up view of global
research effort a Department of Coastal Systems (COS), Royal Netherlands Institute for Sea Research (NIOZ), PO Box 59, 1790 AB Den Burg, Texel, The Netherlands
b Leibniz Institute for Baltic Sea Research Warnemünde, Seestr. 15, 18119 Warnemünde, Germany
c Institut de Recherche pour le D´eveloppement (IRD), MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Av. Jean Monnet, 34203 S`ete, France
d Institut Mediterrani d’Estudis Avançats, IMEDEA (UIB-CSIC), Miquel Marqu´es 21, 07190 Esporles, Illes Balears, Spain
e Portuguese Institute for Marine and Atmospheric Science (IPMA), Rua Alfredo Magalh˜aes Ramalho 6, 1449-006 Lisbon, Portugal
f Centre for Coastal Research, University of Agder, Universitetsveien 25, 4630 Kristiansand, Norway
g NOAA National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Blvd., Honolulu, Hawaii 96818, USA
h Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657, Japan
i Department of Environment, Forestry and Fisheries (DEFF), Private Bag X2, Vlaeberg 8000, Cape Town, South Africa
j Marine Research Institute and Department of Biological Sciences, University of Cape Town (UCT), Private Bag X3, Rondebosch 7700, Cape Town, South Africa
k Department of Oceanography, University of Hawaiʻi at M¯anoa, 1000 Pope Rd., Honolulu, Hawaiʻi 96822 USA A B S T R A C T Small pelagic fish (SPF) play extremely important ecological roles in marine ecosystems, form some of the most economically valuable fisheries resources, and play a
vital role in global food security. Due to their short generation times and tight coupling to lower trophic levels, populations of SPF display large boom-and-bust
dynamics that are closely linked to climate variability. To reveal emerging global research trends on SPF as opposed to more recently published, ecosystem-
specific reviews of SPF, we reviewed the literature published in two, 6-year periods in the new millennium (2001–2006, and 2011–2016) straddling the publica
tion of a large, global review of the dynamics of SPF in 2009. We explored intrinsic and extrinsic (bottom-up) factors influencing the dynamics of SPF such as
anchovies, sardines, herrings and sprats within the sub-order Clupeidae. Published research efforts within 16 different biogeographic ocean regions were compiled
(more than 900 studies) and compared to identify i) new milestones and advances in our understanding, ii) emerging research trends and iii) remaining gaps in
knowledge. Studies were separated into 5 categories (field, laboratory, mesocosms, long-term statistical analyses and spatially-explicit modelling) and discussed in
relation to 10 bottom-up categories including 5 abiotic factors (temperature, salinity, pH, dissolved oxygen, density), 3 physical processes (advection, turbulence,
turbidity) and 2 biotic factors (prey quantity and quality). The peer-reviewed literature reflects changes in the number of studies between the two time periods
including increases (Mediterranean Sea, Humboldt Current) and decreases (Australia, Benguela Current). Our review highlights i) gaps in ecological knowledge on
young juveniles and, in general, on the impacts of hypoxia and heatwaves on SPF, ii) the utility of paleo studies in exploring population drivers, iii) the continued
need to develop spatially-explicit, full life-cycle models, iv) the importance of exploring how density-dependent processes impact vital rates (growth, survival,
reproduction), and v) the benefits of international collaboration for knowledge transfer and building unifying hypotheses on the role of bottom-up factors and
processes that regulate SPF populations. 1. Introduction anchoveta (Engraulis ringens) were landed by the largest single-species
fishery in the world, while another six species of SPF were within the
top 25 major global fisheries (FAO, 2017). Stocks of SPF such as Peru
vian anchoveta are notorious for their rapid, large-scale changes in
distribution and/or productivity in response to climate-mediated
changes in bottom-up forcing (Lluch-Belda et al., 1992; Schwartzlose
et al., 1999; Tourre et al., 2007; Salvatteci et al., 2018). For example, the
large harvest of Peruvian anchoveta in 2015 was a 37% increase
compared to 2014. These fishes are also emblematic of the relatively anchoveta (Engraulis ringens) were landed by the largest single-species
fishery in the world, while another six species of SPF were within the
top 25 major global fisheries (FAO, 2017). Stocks of SPF such as Peru
vian anchoveta are notorious for their rapid, large-scale changes in
distribution and/or productivity in response to climate-mediated
changes in bottom-up forcing (Lluch-Belda et al., 1992; Schwartzlose
et al., 1999; Tourre et al., 2007; Salvatteci et al., 2018). For example, the
large harvest of Peruvian anchoveta in 2015 was a 37% increase
compared to 2014. These fishes are also emblematic of the relatively y
y
y
g
a Department of Coastal Systems (COS), Royal Netherlands Institute for Sea Research (NIOZ), PO Box 59, 1790 AB Den Burg, Texel, The Netherlands
b Leibniz Institute for Baltic Sea Research Warnemünde, Seestr. 15, 18119 Warnemünde, Germany
c Institut de Recherche pour le D´eveloppement (IRD), MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Av. Jean Monnet, 34203 S`ete, France
d Institut Mediterrani d’Estudis Avançats, IMEDEA (UIB-CSIC), Miquel Marqu´es 21, 07190 Esporles, Illes Balears, Spain
e Portuguese Institute for Marine and Atmospheric Science (IPMA), Rua Alfredo Magalh˜aes Ramalho 6, 1449-006 Lisbon, Portugal
f Centre for Coastal Research, University of Agder, Universitetsveien 25, 4630 Kristiansand, Norway
g NOAA National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Blvd., Honolulu, Hawaii 96818, USA
h Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657, Japan
i Department of Environment, Forestry and Fisheries (DEFF), Private Bag X2, Vlaeberg 8000, Cape Town, South Africa
j Marine Research Institute and Department of Biological Sciences, University of Cape Town (UCT), Private Bag X3, Rondebosch 7700, Cape Town, South Africa
k Department of Oceanography, University of Hawaiʻi at M¯anoa, 1000 Pope Rd., Honolulu, Hawaiʻi 96822 USA Progress in Oceanography 191 (2021) 102494 Progress in Oceanography 191 (2021) 102494 Available online 16 December 2020
0079-6611/© 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
https://doi.org/10.1016/j.pocean.2020.102494
Received 19 July 2020; Received in revised form 22 November 2020; Accepted 7 December 2020 Available online 16 December 2020
0079-6611/© 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
* Corresponding author.
E-mail address: myron.peck@nioz.nl (M.A. Peck).
https://doi.org/10.1016/j.pocean.2020.102494
Received 19 July 2020; Received in revised form 22 November 2020; Accepted 7 December 2020 1.1. Importance of small pelagic fish Catches of anchovies, sardines, herrings and other small pelagic
clupeoid fishes are not only important for direct human consumption
but also critical for fishmeal and fish oil used in agri- or aqua-feeds,
making small pelagic fish (SPF) significant for global food security
(FAO, 2016). In 2015, 4.3 million metric tonnes (MMT) of Peruvian Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. rapid (regime) shifts (dramatic and abrupt changes in the abundance
and relative dominance of SPF that are persistent in time) documented
in many marine ecosystems worldwide (e.g., Alheit and Niquen, 2004;
Alheit et al., 2005; Watanabe, 2009). The high inter-annual variability
of SPF biomass, their sensitivity to climate variability, and the occur
rence of productivity regimes that are difficult to predict in terms of
onset and duration all pose challenges to the sustainable management
and efforts to prevent overfishing of SPF populations. These fish also
play a pivotal role in marine food webs by acting as conduits of energy
from lower to upper trophic levels (Pikitch et al., 2012). Thus, from both
an ecological and a societal point of view, it is essential that we gain a
full understanding of the factors and processes that drive changes in the
productivity of populations and management units (stocks) of these
fishes. This knowledge can buttress science-based advice to fisheries
management (e.g., Kaplan et al., 2016) as well as the robustness of
longer-term projections of future impacts of climate change (MacKenzie
et al., 2012; Peck et al., 2013). ancillary manner, or iv) focused on predators of SPF (seabirds, marine
mammals and fish). The majority of excluded studies was within the
latter category. At this point, the list contained 374 papers published
from 2001 to 2006 and 376 papers published from 2011 to 2016. Some
papers were not found by our search string and, based on our collective
knowledge and expertise in specific regions, a further 195 studies were
added. The final list contained 945 studies (434 in 2001–2006 and 511
in 2011–2016). We recognize that there is insightful research that has or
is being conducted that may not be included here, and we do not intend
to be insular in our assessment. Rather the approach taken is an analysis
of trends in the mass literature, not an analysis of the most important (or
most all inclusive) research on planktivorous fishes. 1.3. Categories of studies The following search was performed on ISI Web of Science: “Sprattus” OR sprat OR “Engraulis encrasicolus” OR “European an
chovy” OR “Cape anchovy” OR “Northern anchovy” OR “Sardina pil
chardus” OR “European sardine” OR “European pilchard” OR “European
sprat” OR “Engraulis japonicus” OR “Japanese anchovy” OR “Sardinops
melanostictus” OR “Sardinops sagax” OR “Japanese sardine” OR “Pacific
sardine” OR “South American pilchard” OR “Engraulis mordax” OR
“Californian anchovy” OR “Engraulis mitchilli“ OR “Anchoa mitchilli”
OR “Bay anchovy” OR “Clupea harengus“ OR “Atlantic herring” OR
“Pacific herring” OR clupei* OR “small pelagic*”) AND (temperature OR
“climate change” OR climat* OR acidi* OR pH OR oxygen OR hypox*
OR hypercapn* OR O2 OR salinity OR freshening OR stress* OR thermal
OR tolera* OR limit* OR critic* OR lethal OR threshold* OR growth OR
weight OR mass OR diameter OR develop* OR mortality OR surviv* OR
metaboli* OR respir* OR oxygen consumption OR prefer* OR thermal
window OR aerobic scope OR metabolic scope OR sensitivity OR matur*
OR spawn* OR feed* OR prey OR predator OR produc* OR feed OR egg*
OR “yolk sac*” OR larv* OR juvenil* OR light OR density OR recruit
ment) NOT (chem* OR enginee* OR technology). Based on the search (and expert knowledge), the two time periods
contained papers on 33 species (note, the search was limited to fish in
the family Clupeidae and Engraulidae). The most research effort in the
first period was on Atlantic herring (Clupea harengus), whereas in the
second period most studies targeted European anchovy (Engraulis
encrasicolus) (Fig. 3). Compared to the first period, the number of studies
published on European anchovy almost doubled (78 to 145). Similarly,
work published on Peruvian anchoveta (Engraulis ringens) tripled (10 to
30), and the first studies (based on our search terms) were published in
the second period on Falkland sprat (Sprattus fuegensis) and Argentine
anchovy (Engraulis anchoita) (Fig. 3). Some species seem to remain
largely understudied (1 study in one of the two periods), such as scaled This search string resulted in 1420 and 1700 studies from 2001 to
2006 and 2011 to 2016, respectively. Studies outside the scope of this
review were excluded after reading the title, and additional studies were
excluded after reading the abstract and/or complete paper. 1.3. Categories of studies During the period between 2001 and 2006, field studies, statistical
analyses/reviews, spatially-explicit modelling, laboratory experiments,
and mesocosm research accounted for 70, 20, 10, 9 and 0.5%, respec
tively, of the studies published on SPF (some studies were in multiple
categories) (Fig. 1A). Between 2011 and 2016, these same five cate
gories accounted for 67, 20, 12, 10 and 1%, respectively, of the pub
lished studies (Fig. 1A). Studies were also categorized by life stage,
separating work conducted on eggs (20%), larvae (35%), juveniles
(32%) and adults (58%) (average for the two periods, papers often in
more than one category (Fig. 1B)). Research specifically devoted to ju
veniles was scarce (7–8% of all studies). Moreoever, the five categories
of methods were not equally applied across all life stages (Fig. 2). During
the 1st and 2nd periods, 55 and 71% of all field studies, respectively, and
62 and 64% of all time series analyses, respectively, was conducted on
both juveniles and adults (mostly adults). On the other hand, 55 (1st
period) and 57% (2nd period) of all laboratory studies and 62 and 64%
of all spatially-explicit modelling studies was conducted on early life
stages (eggs and larve). Less than one-third of the laboratory studies
included work on eggs and none of the studies that used mecososm was
conducted on eggs or larvae. Out of the 945 studies reviewed across the
two, 6-yr time peiods, only 19 (1st period) and 9 (2nd period) examined
all four life stages and these tended to be statistical time series analysis
(10 in 2001–2006) or full life-cycle modelling approaches (6 in
2011–2016). The emphasis of this review was on how bottom-up processes and
abiotic environmental factors regulate SPF populations or stocks. The
review included peer-reviewed research on vital rates (e.g., feeding,
growth, reproduction, survival) and ecophysiology, as well as studies
exploring how key physical and biological features impact on habitat
suitability. 1.1. Importance of small pelagic fish Although it is likely
that some studies were missed during the two, 6-yr time periods, in our
opinion, the 945 papers compiled here have captured trends during the
new millennium in basic (fundamental) as well as emerging research
themes on SPF among 16 regions (large marine ecosystems) around the
world. i We also reviewed the types of studies including specific methods /
themes (Section 2) and compared research conducted on SPF in different
regions (see Section 3). For these and other sections, we integrated the
findings of studies published before, between and after the two 6-yr time
periods that were used to compare trends. For example, many studies
were published from 2012 to 2015 and more than 150 references in this
4-yr period were used in this review. The 2017 symposium on SPF
produced 38 publications in two special volumes (Alheit and Peck, 2019;
Alheit et al., 2019b) and some of those and other recent studies are also
included here. 1.2. Scope of this review The present study reviewed research conducted on SPF using a semi-
structured review of literature published during 2001–2006 and
2011–2016. We compared the two time periods to reveal emerging
research trends globally and to complement recently published,
ecosystem-specific reviews of SPF (e.g., Takasuka, 2018). The first time
period was chosen to capture research finalized at the start of the new
millennium (e.g., published in 2001) that appeared in the peer-reviewed
literature prior to a key, global review of the dynamics of SPF prepared
in 2008 (Checkley et al., 2009) that arose from the GLOBEC Small Pe
lagics and Climate Change (SPACC) collaborative research programme,
and two special issues on upwelling systems (Bertrand et al., 2008b;
Fr´eon et al., 2009). The second period represented the same number of
years after the SPACC book but just prior to a large, international
symposium on SPF that was convened in March 2017 (Alheit and Peck,
2019; Alheit et al., 2019b). 1.3. Categories of studies Studies were
excluded because they either i) explored other topics (e.g., food science),
ii) examined other small pelagic fish species (e.g., shads, mackerels), iii)
reported on broad ecosystem overviews which included SPF in only an 2 Progress in Oceanography 191 (2021) 102494
Fig. 1. Summary of 945 studies published on small pelagic fish in two time periods that examined bottom-up factors and/or processes impacting on small pelagic fish
(Clupeids and Engraulids) Panel A: Type of study conducted. Panel B: Life stage examined. M.A. Peck et al. M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 Fig. 1. Summary of 945 studies published on small pelagic fish in two time periods that examined bottom-up factors and/or processes impacting on small pelagic fish
(Clupeids and Engraulids) Panel A: Type of study conducted. Panel B: Life stage examined. Fig. 2. Summary of the five types of studies published in each of two time
periods on different life stages of small pelagic fish (Clupeids and Engraulids). The thick line separates studies conducted on early (eggs and larvae) versus
later (juveniles and adult) life stages. Note, many studies were conducted on
multiple life stages (e.g., juveniles and adults). and 7% of the studies in the earlier and later 6-yr periods, respectively. Species of SPF are known to shift their spatial distribution in
response to changes in bottom-up forcing, and considerable research
effort has been focused on reporting and understanding these changes. Examples of this research include studies documenting the (re-)
appearance of European anchovy at its high latitudinal limit in the North
Sea (Alheit et al., 2012; Petitgas et al., 2012), the basin-scale distribution
of Japanese anchovy (Engraulis japonicus) in the Pacific (Murase et al.,
2012) and projecting shifts in distribution in Pacific sardine (Sardinops
sagax) in the California Current (Kaplan et al., 2016). These studies,
covering relatively large spatial scales, were complimented by a myriad
of field work at specific locations relating patterns of spatial distribu
tions to habitat characteristics (e.g., Nev´arez-Martínez et al., 2001;
Islam et al., 2006; Song et al., 2012; Bonnano et al., 2014; Niu et al.,
2014; Valencia-Gasti et al., 2015). That distribution shifts are a response
to bottom-up forcing is supported by observations of consistent simi
larities and differences in the strategies of space occupation by
E. encrasicolus and S. herring (Harengula jaguana) or sind sardinella (Sardinella sindensis). herring (Harengula jaguana) or sind sardinella (Sardinella sindensis). herring (Harengula jaguana) or sind sardinella (Sardinella sindensis). 1.3. Categories of studies sagax at low and high biomass levels in the
Southern Benguela (Barange et al., 2005) which suggested that spatial
habiat utilization was density-independent. y
p
Determining the meta-population structure is fundamental to un
derstanding the ecologies (e.g., habitat utilization, life cycle strategies)
of and distinguishing between, and adequately managing stocks. During
the two time periods reviewed here, most of the research focused on
identifying mixtures of stocks was performed on herring in either the
Pacific (Clupea pallasi) or Atlantic (C. harengus). Atlantic and Pacific
herring exhibit spawning site fidelity and, hence, more complex stock
structure with management implications. A variety of techniques were
employed to distinguish unique reproductive units of herring in the
Pacific or Atlantic including genetic analyses (Siple and Francis, 2016),
otolith shape or microchemistry differences (Geffen et al., 2011;
Gr¨ohsler et al., 2013; Vergara-Solana et al., 2013) or using parasites as
natural tags (Unger et al., 2014). Otolith morphometrics and/or genetic
analyses have also been employed to differentiate stocks of European
anchovy (e.g., Magoulas et al., 2006; Vi˜nas et al., 2014) and European
sardine (Jemaa et al., 2015) across Mediterranean and Eastern Atlantic
waters. Body and otolith shapes have been used to discriminate stocks of
Pacific sardine in the California Current ecosystem (Vergara-Solana
et al., 2013), and parasite biotags in particular but also some life history
and meristic and morphometric characteristics have been used for
sardine stock identification in the southern Benguela Current System
(Reed et al., 2012; van der Lingen et al., 2015; Weston et al., 2015; Idris
et al., 2016). The advancement of biochemical and genetic techniques
allowing the identification of allozyme loci (in the 1980 s) or micro
satellites (in the 1990 s), has revealed differences in the relatedness of Fig. 2. Summary of the five types of studies published in each of two time
periods on different life stages of small pelagic fish (Clupeids and Engraulids). The thick line separates studies conducted on early (eggs and larvae) versus
later (juveniles and adult) life stages. Note, many studies were conducted on
multiple life stages (e.g., juveniles and adults). 2.1.1. Productivity and distribution i Thus, spawning times, spawning habitats and links
between oceanographic conditions and SPF productivity have been
revealed by collecting the data needed to apply the DEPM (Somarakis
et al., 2002, 2006; Ettahiri et al., 2003; Twatwa et al., 2005; Amenzoui
et al., 2006; van der Lingen et al., 2006a, Fissel et al., 2011; Bernal et al.,
2012; Haslob et al., 2012a, 2013; Tsikliras and Koutrakis, 2013; Bouhali
et al., 2015; Mhlongo et al., 2015; Rajasilta et al., 2015). i g
j
Beyond field studies describing the basic features of reproduction in
SPF, recent research has explored resource partitioning including po
tential trade-offs between allocating energy to spawning or somatic
growth. As opposed to some capital breeders such as gadoids that
accumulate lipid reserved in the liver more than 6 months prior to
spawning, SPF fuel reproduction based on relatively small lipid reserves
in muscle tissue, and some SPF supplement energy requirements for
spawning by feeding shortly before and during the spawning season. These fish depend less on the input of energy from feeding during their
protracted spawning season (e.g., Hunter and Leong, 1981; Ganias et al.,
2009; Nunes et al., 2011). Other SPF are more strictly income breeders,
as shown for the Japanese anchovy, for which changes in the ratio of
δ13C to δ15N in eggs closely follow the isotope ratios of the prey
consumed by adult fish (Tanaka et al., 2016). The partitioning of re
sources by females to their eggs and offspring is not fixed, therefore, but
is relatively dynamic, depending on recent feeding conditions. Garrido
et al. (2007b, 2008b) demonstrated how the concentration and
composition of essential fatty acids (FAs) in the muscle of female sardine
(Sardina pichardus) corresponded to that in hydrated oocytes and how
this maternal provisioning of FAs changed both spatially and during the
spawning season with implications for changes in egg quality. Research
on Atlantic herring populations identified energy trade-offs between
somatic growth, fecundity and migratory behaviour: migrants had
significantly higher somatic growth rate and lower relative fecundity
compared to females in non-migratory populations (Silva et al., 2013). It is important to establish baseline patterns in abundance (e.g., size
of specific populations) and compile evidence on changes in the his
torical spatial distributions of SPF to better understand ongoing changes
or to better project what may happen in the future. 2.1.1. Productivity and distribution i 2.1.1. Productivity and distribution i The prominence of “field work” on SPF compared to other types of
research was expected. Field surveys are routinely conducted to examine
the status of these fisheries resources (changes in spawning stock
biomass (SSB) or distribution), to identify nursery, feeding or spawning
habitats and, to a lesser extent, to examine bottom-up processes that
influence rates of mortality, growth and reproduction. In the majority of
studies, multiple life stages were examined (e.g., juveniles with adults,
eggs with larvae). Field research effort, therefore, appeared to be evenly
distributed across these four life stages in the 1st period with a greater
proportion targeting later life stages in the 2 ns period (as depicted in
Fig. 2). Research focused solely on juveniles, however, formed only 8% 3 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 Fig. 3. The number of studies published on various species of small pelagic fish within two, 6-year time periods. Note, the 22 species shown are those investigated in
at least 2 studies in either time period. In total, 33 species appeared in at least 1 study (see supplementary material). Fig. 3. The number of studies published on various species of small pelagic fish within two, 6-year time periods. Note, the 22 species shown are those investigated in
at least 2 studies in either time period. In total, 33 species appeared in at least 1 study (see supplementary material). Fig. 3. The number of studies published on various species of small pelagic fish within two, 6-year time periods. Note,
at least 2 studies in either time period. In total, 33 species appeared in at least 1 study (see supplementary material conspecifics at small spatial scales. The application of these techniques
to SPF such as Pacific sardine, northern anchovy and Atlantic herring
has also identified ‘chaotic patchiness’ (Hedgecock, 1994), in which
inter-annual genetic variation within spawning aggregates was often
larger than the genetic variation among nearby populations (see Olsen
et al., 2002 and references therein). A review by Eldon et al. (2016)
identified four processes contributing to such patchniness in populations
of marine fish and other taxa, including sweepstakes reproductive suc
cess and differences in phenology, larval dispersal and patterns of
selection. ovulatory follicles based on the ground-breaking work of Hunter and
Goldberg (1980). 2.1.1. Productivity and distribution i The pioneering
research in the late 1960s examining scales preserved in anoxic sedi
ments (e.g., Soutar and Isaacs, 1969) led to important publications
reporting on long-term fluctuations in small pelagic fish populations (e. g., Baumgartner et al., 1992) as reviewed by Field et al. (2009). Recent
studies have continued to document these decadal to centennial patterns
such as the 150-yr time series generated for Japanese anchovy (Engraulis
japonicus) in the Yellow Sea (Huang et al., 2016) and the work by Kuwae
et al. (2017) in Japanese waters. These long-term time series are crucial
in providing an historical perspective on the current abundances and
trends and for revisiting models and paradigms based on historic data
sets. In the northern Humboldt Current System, for instance, centennial
to multi-millennial reconstructions of the abundance of Peruvian
anchoveta suggested that the commercial fishery developed during a
period of relatively high abundance of this stock respective to the last
millennia (Salvatteci et al., 2019). That study also refuted some
important aspects such as anchovy-sardine alternation or the role of the
Pacific Decadal Oscillation (PDO) as a direct driver of SPF dynamics
(Guti´errez et al., 2009; Salvatteci et al., 2019). 2.1.3. Feeding and diet Due to the tight coupling of SPF populations to bottom-up processes
impacting on lower trophic levels, it is important to understand which
prey are preferred and how much are needed to cover energy re
quirements of SPF. Furthermore, as most SPF are income breeders, the
richness of the feeding environment can have important and immediate
consequences on reproductive output (Garrido et al., 2015). During the
two periods reviewed here, a considerable amount of new information
was published on the diets of various SPF species and the number of
studies focusing on SPF diet almost tripled in the second period
compared to the first (15 vs 42 studies). In the first period, a compre
hensive comparison of the trophodynamics of sardine (Sardinops sagax)
and anchovy (Engraulis encrasicolus) in the southern Benguela (van der
Lingen et al., 2006b) underlined the trophic dissimilarity between the
two species and indicated size-based resource partitioning of their
zooplankton prey. That study led to the hypothesis that alternations in
relative species dominance between the two species may be troph
odynamically mediated. Between the periods assessed here, a compre
hensive review that assembled available information on the feeding
morphology, behaviour and diet of SPF from several regions (van der
Lingen et al., 2009) supported the trophic dissimilarity hypothesis for
sardine/anchovy species pairs in some (e.g., Ay´on et al., 2011) but not
all (e.g., Costalago et al., 2012) ecosystems where adequate data exist. During the second period, a review of the diet and feeding behaviour of
sardine and anchovy species was published (Garrido and van der Lingen,
2014). That work also tested the trophodynamic hypothesis with more
data including results from new techniques to study trophic ecology
such as analyses of stable isotope ratios. These new data indicated
support for the trophic dissimilarity hypothesis in most systems. Within many ecosystems, large schools of SPF have the capacity to
locally deplete zooplankton (e.g., Ay´on et al., 2008b; Koslow, 1981) and,
in exceptional cases, exert top-down control of the zooplankton com
munity (Arrhenius and Hansson, 1993). Juveniles likely exert particu
larly strong top-down pressure on standing stocks of zooplankton
because they are relatively abundant and they have relatively high mass-
specific feeding rates. Intensive predation may lead to density-
dependent prey limitation during the juvenile period as was suggested
by various studies conducted on European sprat (Spattus sprattus) (Car
dinale et al., 2002; Baumann et al., 2007; Hawkins et al., 2012). 2.1.3. Feeding and diet In one
study, Hawkins et al. (2012) obtained estimates of sprat abundance from
hydroacoustic measurements and zooplankton abundance from pump
samples and reported rapid rates of prey depletion by large schools in an
embayment in Ireland. In a second study, Baumann et al. (2007) used
trajectories of otolith growth of field-caught individuals and laboratory
starvation-refeeding experiments to demonstrate that large schools of
young juvenile sprat were in starving condition within warm, nearshore
waters of the southwestern Baltic Sea. In both Atlantic herring and sprat
in the Baltic Sea, more than 90% of the long-term variability in fish
condition (weight-at-length) was explained by fish abundance, high
lighting the importance of density-dependent competition for prey
(Casini et al., 2006; Casini et al., 2014). van der Lingen et al. (2006a)
analysed a 52-year time series of biological data on Pacific sardine
(Sardinops sagax) in the southern Benguela and reported density-
dependent effects on condition factor and length-at-maturity. Simi
larly, density-dependent growth and maturation of this species off Cal
ifornia were suggested by Dorval et al. (2015) who compared the stock
characteristics for fish born in three periods (1986–1993, 1996–2003
and 2004–2008). A plethora of studies has also documented the role of
SPF as potential competitors with other groups of fish such as the
overlap in zooplankton in the diets of Pacific herring and walleye
pollock (Theragra chalcogramma) in Prince William Sound, Alaska
(Sturdevant et al., 2001). y
y
y
During the two time periods reviewed here, about three-fold more
studies were published on the diet and feeding of juveniles and adults
compared to larvae. Diet studies on larvae filled gaps in knowledge on
rarely-studied species such as Falkland sprat (Sprattus fuegensis) and
Araucarian herring (Strangomera bentincki) in fjords and channels in
southern Chile (Contreras et al., 2014), and on well-studied species in
specific habitats such as Atlantic herring in the Gulf of Riga in the Baltic
Sea (Arula et al., 2012), European sardine in the Mediterranean Sea
(Tudela et al., 2002; Fernandez and Gonz´alez-Quir´os, 2006) and Japa
nese sardine and anchovy in the Kii Channel in Japan (Yasue et al.,
2011). During the two periods, a similar (small) number of laboratory
studies was conducted. During the first period most laboratory studies
focused on the condition and growth of larvae (or post-larvae) in rela
tion with feeding densities (e.g., Kono et al., 2003; Baumann et al.,
2005). 2.1.3. Feeding and diet During the second period, most laboratory studies focused on the
importance of protists for the diet of early larvae (Friedenberg et al.,
2012; Illing et al., 2015). Field studies on larval feeding more than
doubled in the second compared to the first period. In the first period,
these studies mainly focused on gut content analysis to define changes in
prey composition, size and preference with increasing larval length such
as work by Llanos-Rivera et al. (2004) on Peruvian anchovy and Pacific
sardine from Concepcion Bay, Chile. In the second period, a more ho
listic approach was often taken in which larval diet and feeding was
studied in relation to environmental factors influencing prey availability
or larval feeding success such as wind speed, temperature, turbulence
and freshwater discharge (e.g., Arula et al., 2012; Landaeta et al., 2012). These holistic studies have been important to the development of sub-
routines for larval foraging in biophysical individual-based models (e. g., Hufnagl and Peck, 2011; Urtizberea and Fiksen, 2013). i Long-held beliefs concerning the diet of some SPF are changing due
to recent research, particularly studies estimating prey energy as
opposed to prey number and those studying the trophic web by means of
stable isotopic composition. For example, for decades, the Peruvian
anchoveta (Engraulis ringens) was considered to feed directly on primary
producers (Ryther, 1969; Rojas de Mendiola, 1989; Alamo and Espinoza,
1998) leading to the belief that the large populations of anchoveta were
supported by an unusually short and efficient food chain (Ryther, 1969;
Walsh, 1981; Pauly and Christensen, 1995). Recent work estimating
prey carbon content refutes this assumption by demonstrating that
Peruvian anchoveta forage mainly on macrozooplankton, in particular
euphausiids and large copepods (Espinoza and Bertrand, 2008, 2014). The reliance of anchoveta on macrozooplankton was confirmed by
analysis of stable isotopes indicating a trophic level between 3.4 and 3.7
(Espinoza et al., 2017). These results suggest an ecological role for
forage fish that challenges most current trophic models for the Hum
boldt Current System (HCS), which are parameterized such that forage
fish rely largely on diatoms. Fish are continuous samplers of the ecosystem. Since many species of
SPF display a high degree of opportunistic feeding, changes in diet can
reveal fundamental shifts in marine ecosystems. 2.1.2. Reproduction and Oregon, USA (McFarlane and Beamish, 2001; Emmett et al., 2005)
and the southern Benguela EBUS off South Africa (van der Lingen, 2002)
in the first period. Examples of diet overlap studies comparing two or
more species of SPF in the second period include analyses in the NE
Atlantic (Bachiller et al., 2013; Langøy et al., 2012; Raab et al., 2012),
Bay of Biscay (Chouvelon et al., 2015; Bachiller and Irigoien, 2015) and
in the Mediterranean Sea (Costalago et al., 2012, 2014; Bourg et al.,
2015). 2.1.2. Reproduction Recent research in the NW Mediterranean investigated energetic
consequences of environmental conditions unfavourable for growth
(Brosset et al., 2015) and energetic trade-offs associated with lipid re
serves, size-at-maturity, batch fecundity, spawning duration and egg
quality (dry mass) of European anchovy and sardine (Brosset et al.,
2016). Besides significant decreases in the length-at-maturity, both
species displayed preferential allocation toward reproduction, even in
fish that were in relatively poor condition (weight-at-length and length-
at-age). This preferential allocation of energy to gonadal maturation and A considerable amount of information on the reproductive charac
teristics of SPF has been gained by using the daily egg production
method (DEPM) to estimate spawning stock biomass (SSB) (Lasker,
1985; Alheit, 1993). This calculation requires ecologically relevant in
formation on key reproductive characteristics such as the in situ con
centration of eggs and the mean weight, batch fecundity, and spawning
frequency of females during the peak period of reproduction whereby
spawning frequency is determined by histological ageing of post- 4 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 spawning in females was also observed in Atlantic herring in the Baltic
Sea (Rajasilta et al., 2015). and Oregon, USA (McFarlane and Beamish, 2001; Emmett et al., 2005)
and the southern Benguela EBUS off South Africa (van der Lingen, 2002)
in the first period. Examples of diet overlap studies comparing two or
more species of SPF in the second period include analyses in the NE
Atlantic (Bachiller et al., 2013; Langøy et al., 2012; Raab et al., 2012),
Bay of Biscay (Chouvelon et al., 2015; Bachiller and Irigoien, 2015) and
in the Mediterranean Sea (Costalago et al., 2012, 2014; Bourg et al.,
2015). spawning in females was also observed in Atlantic herring in the Baltic
Sea (Rajasilta et al., 2015). and Oregon, USA (McFarlane and Beamish, 2001; Emmett et al., 2005)
and the southern Benguela EBUS off South Africa (van der Lingen, 2002)
in the first period. Examples of diet overlap studies comparing two or
more species of SPF in the second period include analyses in the NE
Atlantic (Bachiller et al., 2013; Langøy et al., 2012; Raab et al., 2012),
Bay of Biscay (Chouvelon et al., 2015; Bachiller and Irigoien, 2015) and
in the Mediterranean Sea (Costalago et al., 2012, 2014; Bourg et al.,
2015). 2.1.3. Feeding and diet These diet studies are fundamental to
understanding resource partitioning by co-occurring SPF in various
ecosystems around the globe. Difference in the sizes of prey preferred by
anchovy and sardine have been well-known for decades based on gill
raker morphology (e.g., King and Macleod, 1976; van der Lingen et al.,
2009; Rykaczewski (unpublished data)) and the “trophic-dissimilarity”
hypothesis (van der Lingen et al., 2006b) forms one of the hypotheses
attempting to explain the large-scale oscillations of populations of an
chovy and sardine observed in the California, Peruvian and Benguela
Eastern Boundary Upwelling Systems (EBUSs). In non-upwelling eco
systems, less research has been conducted on the potential diet differ
ences between sardine and anchovy, although considerable work was
done in the second, 6-yr period. In one example, stable isotope analyses
of plankton and fish muscle in the Bay of Biscay revealed differences in
the diets and a lack of competition between co-existing anchovy and
sardine during spring, when prey resources were high, but greater diet
overlap during autumn, a period of lower plankton productivity
(Chouvelon et al., 2015). Importantly, seasonal changes in diets and
trophic niche breadth have been documented in response to changes in
hydrography (stratification and mixing periods) and prey availability. In
a second example, Nikolioudakis et al. (2014) reported that relatively
large copepods were the main prey for both anchovy and sardine in the
eastern Mediterranean Sea, although adult sardine (but not anchovy)
consumed phytoplankton. Finally, competition for prey has also been
reported for other species of co-existing SPF such as European sprat and
Atlantic herring in the Baltic Sea (M¨ollmann et al., 2004). In SPF,
particularly in sardines and anchovies, the diets and potential intra-
guild competition appears to depend on the ecosystem-specific pro
cesses regulating plankton community production and composition as
discussed by Espinoza et al. (2009) who compared diets of sardines
across three EBUS. Living organisms follow non-random yet non-uniform distributions
and tend to aggregate in patches (Margalef, 1979; Legendre and Fortin,
1989). Both physical forcing (e.g., frontal zones (Munk et al., 1999)) and
organismal behaviour initiate and maintain patchiness (Kotliar and
Wiens, 1990). Bottom-up, physical processes structure pelagic habitats
(Legendre and Fortin, 1989), introducing turbulence and/or creating
convergence zones of nutrients and passive plankton. Trophodynamic
coupling can transmit these spatial structures through the food web
(Bertrand et al., 2008a, c). 2.1.4. Intra-guild competition and predation Although the present review is focused on the impacts of bottom-up
processes, diet studies clearly indicate that intra-guild predation and
cannibalism can be important controls of early life stage survival of SPF. For example, field work from the mid-1980s in the Benguela system
indicated that 56% and 6% of the total mortality of anchovy eggs
resulted from sardine predation and anchovy cannibalism, respectively,
although mortality rates can be higher when SPF forage within dense
patches of eggs (Vald´es-Szeinfeld et al., 1987; Vald´es-Szeinfeld, 1991). The proportions of egg cannibalism by anchovy were even higher in the
Humboldt (21%) and the California (28%) Currents (Alheit, 1987). More
recent work by Bachiller et al. (2015) reported that up to one-third of the
total annual egg mortality of European anchovy was the result of pre
dation by European sardine in the Bay of Biscay. Although population-
level impacts were not quantified, Karaseva et al. (2013) documented
substantial numbers of sprat eggs and larvae in the diets of Atlantic
herring in the south-eastern Baltic Sea but little to no predation of sprat
on herring early life stages. In the NW Pacific, Takasuka et al. (2004)
reported that cannibalism of larvae by juveniles of Japanese anchovy
was observed in 26% of fish analysed, which appeared to select slower-
growing larvae. Finally, Garrido et al. (2015) estimated that cannibalism
was responsible for 30% of the natural mortality of sardine eggs
spawned off southern Portugal and laboratory experiments confirmed
that eggs were one of the preferred prey items for the species (Garrido
et al., 2007a). 2.2. Statistical analyses and reviews Given the importance of SPF to local economies, long-term records of
catch often exist that can be exploited to understand historical fluctua
tions in the sizes of stocks and potential environmental drivers (e.g.,
Alheit and Hagen, 1997). In specific ecosystems, contemporary surveys
of specific species of SPF have now amassed more than 25 years of field
data that have been harnessed to explore the strength of association
between changes in climate-driven, bottom-up processes (e.g., changes
in temperatures and/or prey fields) and changes in the distribution or
productivity of SPF. In some ecosystems, time series data are currently
not available. For example, the absence of long-term, large-scale sam
pling programs in the Canary Current EBUS has hampered the analysis
of historical trends in SPF dynamics, as well as management efforts
(Braham et al., 2014). Efforts are underway to integrate national
archived datasets and newly collected field data (Ba et al., 2016)
together with the implementation of large international projects to in
crease the capacity to understand trends and drivers of SPF in that EBUS. 2.1.3. Feeding and diet Over the last decade, advances in hydro
acoustics have increased our understanding of the schooling dynamics of
SPF and how the environment structures the distribution of clusters of
schools. Primary ecosystem interactions were believed to occur at the
mesoscale but acoustic data on SPF in the Humboldt Current revealed
that the dynamics of upper ocean waters at sub-mesoscales (less than10
km) played the foremost role in shaping the seascape from zooplankton
to predators and that fish behaviour (foraging in schools) magnifies the
physically induced spatial structuring (Bertrand et al., 2014). Work on
Peruvian anchoveta, thus, suggests that patchiness at spatial scales
greater than that of schools (e.g., clusters) is also driven by physical
forcing such as ocean turbulence at meso- and sub-mesoscales and not
only by the total abundance of SPF in a region (Bertrand et al., 2008a,
2014). 2.1.4. Intra-guild competition and predation 2.1.3. Feeding and diet In Peru, for example, no
clear relationship was observed between the prey composition of
Peruvian anchoveta and inter-annual variability in oceanographic fea
tures associated with El Ni˜no and La Ni˜na periods (Espinoza and Ber
trand, 2008). However, at longer, decadal scales, Espinoza and Bertrand In terms of diet studies performed on juveniles and adults, in the first
period, most of these were single-species analyses, while studies
comparing diets of two to several SPF in the same ecosystem were more
common in the second period. For example, the diet of adult Pacific
sardine (Sardinops sagax) was examined in coastal waters off California 5 5 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. ‘‘an essential life unit in which fish feed, breed, rest, and flee” (Aoki,
1980). In SPF, larvae first start to display schooling behaviour directly
after notochord flexion (e.g., Cotano et al., 2008; Somarakis and Niko
lioudakis, 2010 and references cited therein). In Engraulis species, for
example, schooling starts when larvae are between 11 and 17 mm in
length (Hunter and Coyne, 1982; Masuda, 2011). This transition to
schooling is correlated with the start of strong vertical migration and
changes in diet. This shift is a ‘game-changer’ as it involves escaping the
viscous flow regime (Müller and Videler, 1996), modifying the effects of
bottom-up forcing (i.e., modifying the capacity to reach prey, interact
with currents, etc.) as reviewed by Peck et al. (2012c). Since the
development of multi-beam sonars (Gerlotto et al., 2000), knowledge on
SPF school dynamics and behaviour has considerably increased (e.g.,
Misund et al., 2003; Handegard et al., 2017). School size, shape, and
location depend on (i) local habitat characteristics, in particular the prey
dynamics (e.g., Nøttestad et al., 1996; Mackinson et al., 1999; Bertrand
et al., 2008a), hydrodynamic characteristics or the presence of predators
(e.g., Axelsen et al., 2001; Nøttestad et al., 2004; Gerlotto et al., 2006;
Bertrand et al., 2014), and (ii) intrinsic behaviour such as spawning (e. g., Axelsen et al., 2000). Once formed, these large school play a central
role in how SPF respond to bottom-up (and top-down) processes and
may contribute, through intra-guild competition, in the rapid shifts in
dominance of SPF as described in “School Trap” hypothesis (Bakun and
Cury, 1999). (2014) reported a shift in the proportion of euphausiids in the diet of
Peruvian anchoveta that tracked changes in the size of dominant
zooplankton (Ay´on et al., 2011). 2.3. Laboratory / mesocosm studies Controlled laboratory experiments were a relatively small proportion
(less than 10%, Fig. 1) of the studies published on SPF during the two
periods reviewed here and the majority of that work was conducted on
larvae (Fig. 3). This is not surprising given that, for most species
examined in this review, it is very challenging to maintain and spawn
adults and rear their eggs and larvae in the laboratory. These practical
challenges have led to a paucity of research directly examining the ef
fects of abiotic factors using appropriate experimental designs across
most taxa of fish, particularly SPF (Catal´an et al., 2019). The case is
worse in clupeid fish which are relatively sensitive to handling and
require large volumes of water to comfortably swim, school, feed and
reproduce in captivity. Some species are more easily obtained and
amenable to laboratory rearing such as Atlantic and Pacific herring
which is the likely reason why these two species accounted for 61% and
42% of all laboratory work published in 2001–2006 and 2011–2016,
respectively. Atlantic herring was also the only species to have been
studied using mesocosms during the two time periods reviewed here. Laboratory studies on Atlantic herring have been performed on all life
stages and have explored a variety of facets including the ecophysiology
of development, growth, feeding and swimming as impacted by various
factors such as temperature, oxygen and/or pH (pCO2) (e.g., Domenici
et al., 2002; Geffen, 2002; Fox et al., 2003; Utne-Palm, 2004; Frommel
et al., 2014; Maneja et al., 2015). Similarly, recent studies on Pacific
herring have examined natural mortality rates of eggs of different sub-
populations
(Shelton
et
al.,
2014),
the
strength
of
the
protozooplankton-ichthyoplankton link (Friedenberg et al., 2012) and
the sensitivity of larvae to suspended sediments (Griffin et al., 2012). Work on larvae and juveniles has examined the acute and chronic effects
of a viral disease (Lovy et al., 2012). Long-term data sets have also shed light on the potential (bottom-up)
processes limiting year-class success (year-to-year variability) of specific
species in specific regions such as Atlantic herring in the North Sea (e.g.,
Corten, 2013) and European sprat in the Baltic Sea (Voss et al., 2012). Broader analyses including the whole fish community have been con
ducted in some systems (Ralston et al., 2014; Norton and Mason, 2005). 2.1.5. Schooling and behaviour In the field, the organisation/patchiness of SPF occur across a variety
of scales (Gerlotto and Paramo, 2003; Fr´eon et al., 2005). At spatial
scales from the individual (10s of mm), to the school (10s of m), self-
organisation mechanisms are likely to be dominant and drive the for
mation and characteristics of schools. For gregarious fish, the school is Within “data-rich” EBUS, recent studies have provided new insights 6 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. on the well-documented oscillations between anchovies and sardines in
various marine ecosystems including the California Current (Deyle et al.,
2013; Lindegren et al., 2013). Based on late 20th century fish landings,
the paradigm was that anchovy and sardine alternate periodically and
that fluctuations in the size of their populations were associated with
large- (basin-) scale changes in climate variability as captured from
indices such as the PDO (e.g., Schwartzlose et al., 1999; Chavez et al.,
2003). As previously mentioned, this paradigm has been challenged by a
variety of paleoceanographic studies conducted in the Humboldt and
California Current systems (e.g., Vald´es et al., 2008; Field et al., 2009;
Guti´errez et al., 2009; McClatchie et al., 2017; Salvatteci et al., 2018). Given prehistorical records of population sizes inferred from ocean
sediments, alternations between sardine and anchovy appear circum
stantial and do not follow a consistent pattern (MacCall, 2009; Field
et al., 2009; Salvatteci et al., 2018, 2019). Indeed, periods when both
species are either rare or abundant have occurred in the past. Further
more, fluctuations occur across a variety of timescales (Salvatteci et al.,
2018) apart from the 50- to 60-years periodicity derived from fishery
landings (Schwartzlose et al. 1999; Chavez et al., 2003). large fluctuations in SPF stocks is to correlate changes in stock biomass
to abiotic factors such as wind strength and/or water temperature. Sudden shifts in the size of SPF populations have been linked to changes
in physical forcing. Examples include the changes in the biomass of
European sardine and prevailing winds off the coast of Portugal (Borges
et al., 2003) or annual variability in satellite-derived spatial gradients in
sea surface temperature (an upwelling index) in the Canary Current
(Santos et al., 2005a,b), and how intra-seasonal variability in upwelling
strength (Roy et al., 2001) can impact recruitment strength of European
(Cape) anchovy in the southern Benguela. 2.1.5. Schooling and behaviour The rapid increase in Euro
pean anchovy in the North Sea in the late 1990s was related to physi
ologically favorable warming allowing over-winter survival of juveniles
(Petitgas et al., 2012). Time series analysis of Pacific sardine and large-
scale changes in temperature and winds in the northern Benguela Cur
rent system highlighted how intensive (over-) exploitation of fish stocks
and reductions in population size may change life history strategies (e. g., changes in spawning area) that can alter the strength (or can even
reverse the sign) of correlations between environmental factors and
stock productivity (Daskalov et al., 2003). Similarly, Essington et al. (2015) reported on collapses in 15 SPF populations and indicated that
only 4 populations would have collapsed from natural productivity de
clines alone. g
The availability of long-term data sets has allowed explorations of
the impacts of climate variability on population fluctuations of SPF. In
the 1990s, biologists focused on the impact of the North Atlantic
Oscillation (NAO), the differences in the centers of low and high at
mospheric pressure between Iceland and the Azores, on marine eco
systems and populations. Research in the late 1990s and early 2000s
correlated changes in the NAO index and changes in the productivity of
herring and sardines populations in NE Atlantic waters (Alheit and
Hagen, 1997) and sprat in the Baltic Sea (Alheit et al., 2005). A decade
later, the focus shifted to studying the impact of the Atlantic Multi
decadal Oscillation (AMO) on ecosystems (Alheit et al., 2014). The dy
namics of populations of anchovy, sardine, sprat and sardinellas in the
Baltic, North Sea, Bay of Biscay, the Mediterranean and the Canarian
upwelling were shown to be associated with AMO variability (Alheit
et al., 2012, 2014, 2019a; Edwards et al., 2013; Montero-Serra et al.,
2015; Tsikliras et al., 2019). In the NW Pacific, the SST in the Kuroshio
and the Tsushima Warm Current (Japan/East Sea) markedly declined
between 1968/71 and the late 1980 s. This appears to be related to
climatic shifts associated with decadal dynamics of the East Asian
Winter Monsoon and the Arctic Oscillation. Indices of these atmospheric
conditions exhibited obvious changes in the late 1960s and the late
1980 s, the timing of which corresponded well to changes in catches of
sardine and anchovy in these regions (Tian et al., 2008, 2014; Alheit and
Bakun, 2010). 2.5. Summary of bottom-up factors and processes The development of biophysical models depicting the transport of
passive particles (e.g., fish eggs and larvae) in the early 1990s was an
important step forward in fisheries science as it allowed hypotheses on
processes controlling in situ productivity to be generated and, in some
cases, tested (Werner et al., 2001). Given the tight coupling between SPF
populations and environmental (bottom-up) drivers such as changes in
wind forcing (Cury and Roy, 1989) or aberrant drift (Iles and Sinclair,
1982), the number of studies utilizing 3-d particle tracking models to
explore the transport dynamics (e.g., advection, dispersion, retention) of
eggs and larvae of SPF continues to grow. Studies reporting on the re
sults of biophysical model simulations of the transport of eggs and larvae
of SPF comprised more than 40% of the studies classified as “biophysical
modelling” during the two, 6-yr periods reviewed here. Some of the
earliest applications of biophysical individual-based models (IBMs) to
examine the transport dynamics of early life stages of SPF were devel
oped during the first review period for European (Cape) anchovy
(Engraulis encrasicolus) and Pacific sardine in the southern Benguela (see
review by Lett et al., 2015). The growing availability of high-resolution
hydrodynamic models in areas such as the Humboldt Current, Canary
Current and Mediterranean Sea have allowed explorations of bottom-up
factors influencing habitat connectivity and potential survival of SPF in
these systems both in retrospective simulations and in future climate
projections during the second review period (e.g., Brochier et al., 2011,
2013; Soto et al. 2012; Catal´an et al., 2013; Ospina-´Alvarez et al. 2015). This spatially-explicit modelling has been expanded to include elements
of growth physiology such as foraging dynamics (Hufnagl and Peck,
2011) and food availability (Kone et al., 2013), as well as energy allo
cation between somatic and reproductive tissues in adults (Pethybridge
et al., 2013). These 5 methods of study (field, laboratory, mesocom, spatially-
explicit modelling, and statistical analyses/reviews) have been applied
to investigate various aspects of bottom-up control of SPF. To compare
across regions and identify gaps in knowledge, we organized studies by
drivers and responses examined (Fig. 4). For drivers, we used 10 cate
gories including six abiotic factors (i.e., temperature, salinity, dissolved
oxygen, pH and water density), two biotic factors (prey quantity and
quality) and/or important physical processes (advection, turbulence and
turbidity) (Fig. 4). 2.3. Laboratory / mesocosm studies The availability of long-term data derived from ocean sediments has
revealed population fluctuations occurring at long-term (multi-decadal
to millennial) scales (e.g., Guti´errez et al., 2009; Salvatteci et al., 2018,
2019). Adult biomass and year-class success (recruitment) often exhibit
rapid changes and this so-called “boom-and-bust” phenomenon is
emblematic of SPF. Time series data of sufficient length have allowed
researchers to explore the potentially density-dependent changes in
carrying capacity causing these rapid shifts (e.g., Tanaka, 2003). For
example, Jacobson et al. (2001) calculated annual surplus production
(ASP), the biological production required to maintain the previous
year’s biomass in the absence of fishing, and used this to identify regime
shifts in eight anchovy and nine sardine stocks around the world. Those
authors exploited survey time series collected until 1997 and suggested
that ≥30 years of data may be needed, especially for sardine, to
adequately capture the full range of density-dependent changes in ASP
(Jacobson et al., 2001). i Historically, when captive broodstocks of SPF have been established,
this had led to a plethora of seminal studies advancing our mechanistic
understanding of how species of SPF develop, feed and grow. An
example includes studies on adult sardine in the Benguela region in the
1990s (e.g., van der Lingen 1995, 1998). Recent success at maintaining
spawning brood stocks of species never before reared in captivity in
Europe such as the European anchovy and European sardine has pro
vided new information on changes in prey selection during the larval
ontogeny of sardine (e.g., Caldeira et al., 2014; Garrido et al., 2016) and
aspects of the bioenergetics (e.g., rates of feeding, growth, swimming
and metabolism) of sardine or anchovy larvae (e.g., Garrido et al.,
2007a, 2012, 2016; Iglesias and Fuentes, 2014; Moyano et al., 2014; A first step towards understanding the bottom-up processes causing 7 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. Silva et al., 2014). In California, laboratory trials have been used to
calibrate oxygen isotopic values of otoliths so that this measure can
estimate water temperatures utilized by juveniles (Dorval et al., 2011). Using a variety of biochemical measures made on blood and tissue
samples, Pribyl et al. (2016) defined physiological optimal and sub-
optimal temperatures for 1- to 1.5-year old Pacific sardine. 2.5. Summary of bottom-up factors and processes In terms of responses, we used nine categories, dis
tinguishing between population- (e.g., changes in productivity and/or
distribution) and individual-level responses such as vital rates (mortal
ity, growth, feeding, reproduction) and energetic costs and losses (e.g.,
various aspects of internal physiology, swimming behaviour, impacts of
disease / parasites). Papers often examined multiple drivers and re
sponses. Some factors were examined a few times in specific regions that
were not included in this overall scheme such as the impacts of pollution
(e.g., sound, chemical). Nevertheless, these categories provided a useful
graphical representation (Fig. 4) allowing one to visualize how the 5
categories of studies have been applied to factors, processes and re
sponses across regions and/or species. Although it is compelling to make
cross-hemisphere comparisons of the results of similar types of studies Fig. 4. The focus of peer-reviewed papers on SPF were categorized into 10
different bottom-up drivers (factors) and processes (forcing) and 9 different
responses. Note, some research examined only responses (especially field sur
veys). This diagram serves as a template to map and compare research effort
across regions and /or species. 2.3. Laboratory / mesocosm studies Recent lab
oratory work on Japanese anchovy included measurement of the escape
response of adults at two temperatures and two pCO2 levels (Nasuchon
et al., 2016) as well as a series of studies exploring how temperature and
feeding affect aspects of maturation and spawning (Yoneda et al., 2014,
2015). These and previous laboratory studies have advanced conceptual
models of environmental impact and helped parameterize mechanistic,
physiology-based models to explore how the environment regulates the
early life stage survival and life cycle closure of SPF (discussed in the
next section). can be projected forward for many generations. These models include
the interaction between various bottom-up (temperature, mesoscale
turbulence, prey field) and top-down (predators and fisheries) drivers of
SPF stocks. They are complex, parameter-rich models designed for
ecosystem-level, management strategy evaluation. The reason that these
state-of-the-art tools have been advanced is because of the unique, tight
coupling of the population dynamics of SPF to changes in lower trophic
levels, the importance of SPF as prey in food webs and the commercial
importance of SPF to human communities. An important step in the
development of these end-to-end models for SPF was the transfer of
knowledge derived from field data on the trophodynamic relationships
of SPF into mass-balance trophic models such as Ecopath. Although not
included in this review, these and other 0-D (time only) food-web
models have been extensively applied to SPF as exemplified by work
in the Benguela system in the early 2000s (Shannon and Cury, 2003;
Shannon et al., 2003; Heymans et al., 2004; Shannon et al.,
2004a,2004b). 2.4. Spatially-explicit modelling studies 3.1. The Humboldt Current System The research on SPF in various regions around the globe has focused
on specific processes thought to be important in driving changes in the
distribution and productivity of various populations. Global coverage in
the research conducted on SPF is clear from a map showing the distri
bution of published studies (Fig. 5). There are differences between the
two time periods in the number of studies published on species in certain
habitats. Three regions had a considerable decline (NW Atlantic, Ben
guela Current System, Australia) and three had a considerable increase
(Humboldt Current System, Mediterranean Sea, Baltic Sea). For
example, some studies were published in the first 6-yr period in SW
Australia but no studies were published in the second period. Similarly,
far fewer studies were published on species in the Benguela EBUS in the
second (19) compared to the first 6-yr period (43). A similar decrease
was apparent in the NW Atlantic (36 vs. 15 published studies). Increases
in publications were noted in the Humboldt EBUS and Mediterranean
Sea. There are various reasons for these differences including changes in
the strength of international collaboration, shifts in national funding
schemes (e.g., as a response to understand large shifts in SPF resources,
particularly collapses of populations). l Although the four EBUS have similar levels of primary productivity,
the northern Humboldt Current System (HCS) has 5- to 10-times more
productivity of SPF and this region has produced more fish per surface
area than any other marine system in the most recent decades (Chavez
et al., 2008). Alongshore winds are present year-round in northern Chile
and along most of the Peruvian coast, but these upwelling-favourable
winds are limited to spring, summer, and early autumn in central and
southern-central Chile (30◦–41◦S). The HCS is subject to large fluctua
tions in climate, biological characteristics (e.g., community structure)
and fisheries, from intra-seasonal to inter-annual (e.g., El Ni˜no Southern
Oscillation, ENSO) and secular to millennial time scales (Chavez et al.,
2008; Guti´errez et al., 2009; Salvatteci et al., 2014). El Ni˜no, La Ni˜na
events, and climate variability in general, have had some of the largest
documented impacts in this region (Keefer and Moseley, 2004; Chavez
et al., 2008). A key feature of the HCS is the presence of a large, sub
surface oxygen minimum zone (OMZ) located a few tens of meters below
surface waters which vertically compresses the ecosystem. 3.1. The Humboldt Current System The absence
of oxygen in continental shelf sediments preserves organic matter and
the remains of organisms, creating a record of ecosystem components
and climatic variability over tens of thousands of years (Guti´errez et al.,
2009, 2011; Salvatteci et al., 2018, 2019). It is clear that periods of high
and low SPF abundance have occurred long before the development of
the commercial fishery in the HCS (Sandweiss et al., 2004; Guti´errez
et al., 2009). The next sections briefly summarize research in 10 regions, where
the majority of the SPF research reviewed here (899 of 945 studies) was
conducted. During the two time periods, the most studies (18%) were
published on SPF in the Mediterranean Sea followed by the NW Pacific,
Baltic Sea, California Current and NE Atlantic (10 to 12% each). Studies
on SPF in the Barents - Norwegian and Canary - Iberian systems
accounted for 8 and 9%, respectively. Studies within the Northeast
Atlantic, and Humboldt and Benguela Current systems were between 5
and 6% of those reviewed here. Research effort compared in this manner
ignores the vast differences in the number of countries (EEZs) in these
regions. For example, two countries are associated with the Humboldt
Current System while more than 7 countries border regions such as the
Mediterranean Sea, NE Atlantic and Baltic Sea. There are also large
differences in the economic resources (e.g., GDP) potentially available
for research and the economic (and cultural/societal) importance of SPF
across all 17 regions. A relative view of research effort (normalized by
the number of EEZs or GDP) would change this world-wide map,
particularly with regard to the amount of research conducted in the
Humboldt Current System relative to European and North American Although work published on SPF in the HCS represented about 5% of
studies reviewed here (Fig. 5), arguably, the HCS is one of the most
intensively studied EBUS as monitoring has occurred here for more than
50 years including two to four field surveys per year since the early
1980 s. This effort has advanced understanding of i) the trophodynamics
of sardine and anchovy (Espinoza et al., 2009; Espinoza and Bertrand,
2014), (ii) long-term changes in SPF prey field characteristics such as
zooplankton size distributions (Ay´on et al., 2011), (iii) the magnitudes
of spawning activity of E. 2.4.2. End-to-end models One of the most notable developments in the new millennium has
been the demonstration and application of fully coupled, end-to-end
spatially-explicit biophysical models. This type of modelling repre
sented roughly 10% of all the biophysical modeling studies published on
SPF during the two time periods. SPF are ideal candidates for this type of
modelling because of their dependency on the dynamics and standing
stocks of phytoplankton and zooplankton populations. Initial steps in
creating these tools were to couple feeding requirements from
bioenergetics-based growth models for Pacific herring as mortality
terms on phytoplankton and zooplankton groups within lower-trophic-
level, biogeochemical models (e.g., Rose et al., 2007, 2008). These
tools now include movement sub-routines, dynamic predator–prey
feedbacks and top-down forcing from predatory fish and fishing fleets
(Fiechter et al., 2015; Politikos et al., 2015; Rose et al., 2015). These
end-to-end models not only include life-stage-specific physiology and
behaviour but also close the life cycle (from eggs to adults to eggs) and Fig. 4. The focus of peer-reviewed papers on SPF were categorized into 10
different bottom-up drivers (factors) and processes (forcing) and 9 different
responses. Note, some research examined only responses (especially field sur
veys). This diagram serves as a template to map and compare research effort
across regions and /or species. 8 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 on “anchovies” or “sardines”, important physiological and/or morpho
logical differences occur within these groups. For example, adult body
size is smaller in the genus Sardina (Atlantic) compared to the Sardinops
(Pacific) (e.g., 27.5 versus 39.5 cm). regions. Moreover, more recent research programmes have been funded
to advanced knowledge on the dynamics of SPF in developing regions
such as sub-Saharan west Africa (e.g., Thiaw et al., 2017; Diankha et al.,
2018) that were not included in this review. 3.2. The Canary/Iberian Current System ,
g
The Iberian subregion has two main components, related to the
topography and orientation of the coastline. Productivity in the north
western Iberian Peninsula is highly influenced by summer upwelling and
by river runoff (Arístegui et al., 2009). In the southern Iberia, upwelling
is weaker and more intermittent, mainly occurring during late spring/
summer. The European sardine is the most landed fish in the Iberian sub-
region, representing approximately 40% of the total catch (DGRM,
2016). Mean annual catches of the Atlanto-Iberian sardine have declined
three-fold in the last decade, with severe socio-economic consequences
for Portuguese and Spanish fishing communities. The European anchovy
has a stable population in the sheltered Gulf of Cadiz and intermittent
bursts of recruitment off the NW coast likely linked to occasionally
favorable environmental conditions. In this sub-region both SPF are
often found in mixed shoals with other abundant coastal pelagic fish
such as Atlantic chub mackerel (Scomber colias) and horse mackerel
(Trachurus trachurus). In the Moroccan subregion (21 −32◦N), coastal
upwelling (strongest in June-August) creates a complex array of meso
scale features (front, filaments and eddies) which interact with those
generated in the nearby Canary archipelago to influence the life history
dynamics of several species of SPF (see Arístegui et al., 2006; Rodríguez
et al., 2009). Catches of SPF are dominated by European sardine (with
peak abundance in Moroccan waters) followed by round sardinella
(Sardinella aurita) (FAO, 2018a). European anchovy occurs in low
abundance and, unlike other EBUS, inter-decadal shifts in dominance
between sardine and anchovy (e.g., Alheit et al., 2009; Alheit and
Bakun, 2010), have not been observed. Changes in the SPF community
have been associated with episodic warming and hypoxia (Arístegui
et al., 2009). For example, after a warming event in 1995/97, the
abundance of round sardinella began to gradually increase while Eu
ropean sardine drastically decreased in the north of this subregion. The
Mauritanian-Senegalese subregion (12 – 21 ◦N) is the most productive of
the three sub-regions mainly due to the presence of nutrient-rich North
Atlantic Central Waters and deposition of Saharan dust (Arístegui et al.,
2009). Upwelling is highly seasonal and strongest in winter. In this sub-
tropical region, the SPF assemblage is dominated by two sardinella
species (round and flat sardinella (Sardinella maderensis)), stocks that are
now considered to be over-exploited (FAO, 2018a). 3.2. The Canary/Iberian Current System phytoplankton and higher trophic levels at a variety of scales (Guti´errez
et al., 2009; Ay´on et al., 2011; Salvatteci et al., 2018). Although tem
perature was considered the main driver of the spatial dynamics of small
pelagic fish in the HCS in the early 2000 s, the demonstration of plas
ticity in the response of pelagic fish towards temperature (e.g., McFar
lane et al., 2002; Bertrand et al., 2004; Espinoza and Bertrand, 2008;
Guti´errez et al., 2008) suggested more complex relationships between
SPF and vertical and horizontal water-mass characteristics, particularly
in relation to the Oxygen Minimum Zones (OMZs) and prey distribution
(Ay´on et al., 2008a, 2011; Swartzman et al., 2008; Ball´on et al., 2011;
Bertrand et al., 2011; Salvatteti et al., 2019) at multiple, dynamic scales
(Bertrand et al., 2014). These more complex ecosystem characteristics
not only influenced bottom-up drivers but also the magnitude of top-
down control from both predators and fisheries (Joo et al., 2015; Pas
suni et al., 2016; Barbraud et al., 2018). Between the two time periods
compared in the present literature review, many long-held beliefs
changed. This included diet studies suggesting that Peruvian anchoveta
and Pacific sardine do not mainly feed on phytoplankton but on
zooplankton (Espinoza and Bertrand 2008, 2014; Espinoza et al., 2009,
2017) in agreement with observations in the Benguela system, (van der
Lingen et al., 2006b). Moreover, anchovy and sardine in the HCS forage
on larger prey items such as euphausiids to a greater degree than in other
systems (Espinoza et al., 2009). An important shift in knowledge was the
realization that the sediment record indicates that anchovy and sardine
do not consistently alternate in biomass at decadal scales (e.g., Chavez
et al., 2003) but that these species display inconsistent patterns of
alternation across a range of timescales which are not correlated with
the PDO and other remote climate drivers (Vald´es et al., 2008; Guti´errez
et al., 2009; Salvatteci et al., 2018). The Canary/Iberian Current System (CanCS) is one of the four major
EBUS, extending from the NW African coast (12◦N) through the Iberian
Peninsula (to 43◦N). At the northern and southern limits, the strength
and extent of upwelling varies seasonally (Arístegui et al., 2009; K¨ampf
and Chapman, 2016) while between 10 and 20◦N upwelling becomes
semi-continuous (Lathuili`ere et al., 2008). The system contains a broad
diversity of marine habitats with three, distinct sub-regions: Iberian,
Moroccan and West Saharan, and Mauritanian-Senegalese. 3.2. The Canary/Iberian Current System During the two periods reviewed here, research effort on the main
species (Peruvian anchovy) focused on field studies, statistical time se
ries analyses on population-level responses (distribution and produc
tivity) as well as reproduction (Fig. 6). Only a few papers reported
results from laboratory studies but a notable amount of field and labo
ratory work reported on aspects of the early life-stage physiology. The
coverage of abiotic drivers examined included not only temperature but
also salinity with special emphasis on dissolved oxygen. Not only prey
quantity but also prey quality was examined (Fig. 6). Fig. 6. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on Peruvian anchovy in the Humboldt Current
System. In total, 10 categories of bottom-up drivers (below dotted line) were
used including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of
prey. Responses (above dotted line) were separated into 9 categories including
7 at the individual level (from left, 3 energetic costs or losses and 4 vital rates)
and 2 at the population-level (see Fig. 4 for legend). The thickness of lines
represents the number of studies. The color represents the type of study (not all
types may be present). The number and type of studies considering only re
sponses are also shown (color and thickness of circles). Studies published on SPF in the CanCS represent about 9% of those
included in this review (Fig. 5). Most studies focused on the European
sardine (69%), followed by the anchovy (19%) and both Sardinellas
(12%). The number of studies published in the two periods was similar
but the majority of published research stems from the Iberian subregion. Relatively little research has been conducted on stocks of SPF in
Mauritanian-Senegalese subregion with most historical research pub
lished in regional journals or within technical reports (e.g., Boely et al.,
1982; Fr´eon, 1983; John, 1986). Interestingly, some of the seminal
research on recruitment mechanisms of SPF stem from this subregion
such as Cury and Roy’s (1989) “optimal environmental window”. Fig. 6. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on Peruvian anchovy in the Humboldt Current
System. In total, 10 categories of bottom-up drivers (below dotted line) were
used including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of
prey. 3.1. The Humboldt Current System Moreover, anchovy and sardine in the HCS forage
on larger prey items such as euphausiids to a greater degree than in other
systems (Espinoza et al., 2009). An important shift in knowledge was the
realization that the sediment record indicates that anchovy and sardine
do not consistently alternate in biomass at decadal scales (e.g., Chavez
et al., 2003) but that these species display inconsistent patterns of
alternation across a range of timescales which are not correlated with
the PDO and other remote climate drivers (Vald´es et al., 2008; Guti´errez
et al., 2009; Salvatteci et al., 2018). 3.1. The Humboldt Current System ringens; or (iv) the complex processes (from
physics to seabirds and fisheries) impacting small pelagic fish (Bertrand
et al., 2008a,c, 2014; Joo et al., 2014; Passuni et al., 2016; Barbraud
et al., 2018). i The productivity of fish in the HCS is mostly controlled by climate-
driven bottom-up processes impacting on the production of Fig. 5. The numbers of studies on small pelagic fish published during two, six-year time periods in 17 different biogeographic regions. The location of each circle
often represents a much broader region (e.g., one or more large marine ecosystems). Some studies (statistical analyses / reviews) were counted in a multiple regions. Fig. 5. The numbers of studies on small pelagic fish published during two, six-year time periods in 17 different biogeographic regions. The location of each circle
often represents a much broader region (e.g., one or more large marine ecosystems). Some studies (statistical analyses / reviews) were counted in a multiple regions. M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 phytoplankton and higher trophic levels at a variety of scales (Guti´errez
et al., 2009; Ay´on et al., 2011; Salvatteci et al., 2018). Although tem
perature was considered the main driver of the spatial dynamics of small
pelagic fish in the HCS in the early 2000 s, the demonstration of plas
ticity in the response of pelagic fish towards temperature (e.g., McFar
lane et al., 2002; Bertrand et al., 2004; Espinoza and Bertrand, 2008;
Guti´errez et al., 2008) suggested more complex relationships between
SPF and vertical and horizontal water-mass characteristics, particularly
in relation to the Oxygen Minimum Zones (OMZs) and prey distribution
(Ay´on et al., 2008a, 2011; Swartzman et al., 2008; Ball´on et al., 2011;
Bertrand et al., 2011; Salvatteti et al., 2019) at multiple, dynamic scales
(Bertrand et al., 2014). These more complex ecosystem characteristics
not only influenced bottom-up drivers but also the magnitude of top-
down control from both predators and fisheries (Joo et al., 2015; Pas
suni et al., 2016; Barbraud et al., 2018). Between the two time periods
compared in the present literature review, many long-held beliefs
changed. This included diet studies suggesting that Peruvian anchoveta
and Pacific sardine do not mainly feed on phytoplankton but on
zooplankton (Espinoza and Bertrand 2008, 2014; Espinoza et al., 2009,
2017) in agreement with observations in the Benguela system, (van der
Lingen et al., 2006b). 3.3. The Benguela Current System Economically and ecologically important SPF found in the BCS
include European (Cape) anchovy, west coast (redeye) round herring
(Etrumeus whiteheadi), Pacific sardine and the sardinellas Sardinella
aurita and S. maderensis, all of which are primarily caught using purse-
seines. Small catches of sardinellas are only taken in the NB and small
catches of west coast round herring are only taken in the SB, and these
species are not considered further here. The Lüderitz upwelling cell
limits the exchange of epipelagic ichthyoplankton between the NB and
SB due to the combination of a surface hydrodynamic and a subsurface
thermal barrier (Lett et al., 2007), hence anchovy and sardine are
considered to comprise separate sub-populations in the two sub-systems. Sardine was the initial target of purse-seiners in both sub-systems, and
annual catches peaked during the 1960s before declining rapidly (van
der Lingen et al., 2006c). Whilst sardine catches in the NB have not
recovered to historical levels, those in the SB peaked again in the early
2000s but have again declined (de Moor et al., 2017). Anchovy were
targeted in both sub-systems following the 1960s decline in sardine, but
initial moderate catches in the NB declined to insignificant levels and
there is almost no anchovy currently caught off Namibia (Roux et al.,
2013). In contrast, anchovy (primarily juveniles) sustained the South
African small pelagic fishery in years of low sardine catches and remains
an important target species in the SB. Whereas both the NB and the SB
were historically characterized by large populations and high catches of
SPF, these species have virtually been removed from the NB, primarily
by overexploitation (Boyer et al., 2001; Roux et al., 2013) but likely also
by adverse environmental conditions during the mid-1990s (Jarre et al.,
2015). Their removal, particularly of sardine, has had substantial and
possibly irreversible impacts on the structure and functioning of the NB,
and appears to have promoted the proliferation of jellyfish there (Roux
et al., 2013). Field work has also contributed fundamental knowledge on the
reproduction and feeding of SPF. For example, to apply the Egg Pro
duction Method, new knowledge was generated on sardine egg mortality
(Bernal et al., 2012), spawning seasonality and energy allocation (Nunes
et al., 2011), and fine-scale spawning and larval distribution (Zwolinski
et al., 2006). 3.3. The Benguela Current System Studies on SPF in the Benguela Current System (BCS) represented
about 6% of the total number of papers included in this review with
about 70% of the studies published in the first (2001–2006) period
(Fig. 5). The BCS off southwestern Africa is bounded by the warm
Angola Current in the north and the warm Agulhas Current in the south,
and is divided into northern (NB) and southern (SB) sub-systems by the
Lüderitz upwelling cell in Namibia (ca. 27◦S; Hutchings et al., 2009;
Kirkman et al., 2016). The NB and the coast of South Africa west of 20◦E
are wind-driven, coastal upwelling systems whereas the south coast of
South Africa, also considered part of the SB, shows characteristics of
both an upwelling and a temperate, shallow shelf system with seasonal
coastal, shelf-edge and dynamic upwelling. Upwelling is perennial and
strongest in the NB, seasonal and moderate off the South African west
coast, and seasonal and weakest off the south coast (Lamont et al.,
2018). Due to these differences in upwelling intensity, productivity is
highest in the NB and lowest off the South African south coast. Fig. 7. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on European sardine in the Canary Current and
Iberian Systems. In total, 10 categories of drivers (below dotted line) were used
including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of prey. Responses (above dotted line) were separated into 9 categories including 7 at
the individual level (from left, 3 energetic costs or losses and 4 vital rates) and 2
at the population-level (see Fig. 4 for legend). The thickness of lines represents
the number of studies. The color represents the type of study (not all types may
be present). The number and type of studies considering only responses are also
shown (color and thickness of circles). upwelling events impact on the dispersal of sardine larvae (Santos et al.,
2005a,b), and how sea surface temperature, intense easterly winds, and
discharges from the Guadalquivir River are related to early life-stage
mortality of anchovy in the Gulf of Cadiz (e.g., Ruiz et al., 2006). Work in the latter region has been used to help forecast the strength of
anchovy recruitment, potentially increasing the reliability of process-
based stock assessment models (Rinc´on et al., 2016). 3.2. The Canary/Iberian Current System Responses (above dotted line) were separated into 9 categories including
7 at the individual level (from left, 3 energetic costs or losses and 4 vital rates)
and 2 at the population-level (see Fig. 4 for legend). The thickness of lines
represents the number of studies. The color represents the type of study (not all
types may be present). The number and type of studies considering only re
sponses are also shown (color and thickness of circles). During the two periods reviewed here, a good balance of laboratory,
field, statistical analyses and spatially-explicit modelling studies was
published (Fig. 7). In the Iberian sub-region, long-term data from
Spanish and Portuguese scientific surveys (since the 1980 s) and fish
eries catch statistics (since the 1940 s) have provided insight on how
environment factors and processes regulate the productivity of SPF. Examples include how prevailing wind conditions affect sardine
recruitment (Borges et al., 2003; Guisande et al., 2004), how winter 10 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. Fig. 7. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on European sardine in the Canary Current and
Iberian Systems. In total, 10 categories of drivers (below dotted line) were used
including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of prey. Responses (above dotted line) were separated into 9 categories including 7 at
the individual level (from left, 3 energetic costs or losses and 4 vital rates) and 2
at the population-level (see Fig. 4 for legend). The thickness of lines represents
the number of studies. The color represents the type of study (not all types may
be present). The number and type of studies considering only responses are also
shown (color and thickness of circles). logbooks) on catches and field ecology of Sardinella spp (Braham et al.,
2014; Ba et al., 2016). The increase in scientific contributions from this
sub-region is expected to continue as the results of large international
projects continue to be released (see Ba et al., 2017; Tiedemann et al.,
2017; Balde et al., 2019). The number of relatively large-scale studies
investigating stock structure or spawning dynamics of sardine or an
chovy also doubled in the 2011–2016 time period (from 2 to 5 studies),
especially those using genetic tools (e.g., Baibai et al., 2012; Silva et al.,
2014). 2014). 3.3. The Benguela Current System Those
studies included an assessment of how within-season variation in wind-
driven upwelling impacted anchovy recruitment strength (Roy et al.,
2001), attempts to predict anchovy recruitment using a deterministic
expert system using classification trees (Miller and Field, 2002), and
how anchovy recruitment was related to SST patterns (Richardson et al.,
2003; Wilhelm et al., 2005). No such studies were published in the
second 6-yr period reviewed here. Anchovy and sardine in the SB have both shown recent, eastward
expansions of their distributions (van der Lingen et al., 2011) that
appear to be linked to a cooling of inshore waters along the South Af
rican southwest and south coasts since the 1980s (Blamey et al., 2015)
and may be a result of climate change. Similarly, sardine in the NB has
shifted its preferred spawning location southwards which has been
attributed to a general warming of that system (Kreiner et al., 2011),
also possibly driven by climate change. Another bottom-up impact,
possibly arising from climate change, is the deleterious effect on SB
sardine of spatially and temporally extensive harmful algal blooms
(HABs) that have occurred off the South African south coast in recent
years. van der Lingen et al. (2016) reported that sardine in HAB areas
had particularly low condition factors compared to conspecifics outside
of bloom areas, and that low condition was attributed to a cessation of
feeding likely due to chemical irritation by the small (50 µm) di
noflagellates being entrapped on the sardine’s gill rakers. Because of
their coarser branchial baskets, neither anchovy nor round herring are
able to entrap these small particles and hence were unaffected. y p
Because the spawning and nursery areas of anchovy (and to a lesser
extent sardine) in the SB are spatially separated, with most spawning
occurring on the western Agulhas Bank and south coast and the major
nursery ground located on the west coast, substantial research effort
focused on the transport of eggs and early larvae from spawning to
nursery grounds, and several biophysical IBMs were developed during
the first review period. These were principally for Cape (European)
anchovy in the SB (Mullon et al., 2002; Huggett et al., 2003; Mullon
et al., 2003; Parada et al., 2003; Skogen et al., 2003) (see Fig. 8), but also
for sardine (Miller et al., 2006) in the SB and the NB (Stenevik et al.,
2003). 3.3. The Benguela Current System The IBMs developed for anchovy suggested a low probability of
successful transport to the west coast nursery ground for eggs spawned
east of Cape Agulhas, and that transport success of eggs spawned to the
west of this cape was markedly seasonal and increased with increasing
spawning depth. The latter is counter-intuitive given that most anchovy
eggs occur in the upper 20 m (Dopolo et al., 2005). The IBM developed
for SB sardine suggested the same results and identified Cape Agulhas as
a break point between transport-based (west coast) and a retention-
based (south coast) recruitment systems. Lett et al. (2006) reinforced
these differences using a Lagrangian approach to simulate enrichment
and retention, two processes fundamental to SPF recruitment (Bakun,
1996). Similar to anchovy, the successful recruitment of sardine to
nursery areas increased in both the SB and NB with increasing depth of
spawning which, again, was inconsistent with observations of near-
surface sardine egg vertical distributions in both sub-systems (Stenevik
et al., 2001; Dopolo et al., 2005). Only one biophysical IBM (Kone et al.,
2013) and a review of previous IBMs (Lett et al., 2015) were published
from the Benguela during the second 6-year period reviewed here. The
decrease is attributed to a decrease in international (particularly French)
collaborative programs (CvdL personal communication). p
p
Important publications examining bottom-up controls on SPF in the
SB have been published outside of the two periods reviewed here. Roy
et al. (2007) investigated potential environmental drivers of the abrupt
change during the mid-1990s in the relative (i.e., proportion of total)
distribution of European (Cape) anchovy spawners from being pre
dominately located off the South African west coast to being predomi
nantly located off the south coast. Those authors reported a significant
positive correlation between the cross-shelf SST gradient on the south
coast and the proportion of the anchovy spawner biomass there for the
period 1984–2005, and suggested that coastal cooling in that region
resulting from increased wind-induced upwelling off the south coast
may have enhanced anchovy feeding conditions relative to those on the
west coast. Subsequent inclusion of data up to 2011 corroborated this
positive relationship and supported the hypothesis that the distribution
change was environmentally mediated (Augustyn et al., 2018). 3.3. The Benguela Current System Field studies exploring the trophic ecology revealed the
high efficiency of retention of microplankton prey by sardines (Garrido
et al., 2007b) allowing adults of this species to consume phytoplankton,
particularly during periods of low zooplankton abundance (Garrido
et al., 2008a). Adult sardines were also shown to have high fish egg
consumption (mainly from sardines and anchovies), similarly to Atlantic
chub mackerel, which has high diet overlap with sardines (Garrido et al.,
2015). Laboratory experiments conducted on sardine larvae focused on the
influence of temperature and prey quantity on larval feeding (Caldeira
et al., 2014), growth and survival (Garrido et al., 2016), and swimming
capacity (Silva et al., 2014). The strong influence of temperature on the
vital rates of sardine larvae observed in the laboratory agree well with
results of field studies (Coombs et al., 2006; Stratoudakis et al., 2007). Field studies have also described larval diel vertical migration (Santos
et al., 2006; Zwolinski et al., 2007). These laboratory and field results
have generated hypotheses on the bottom-up mechanisms controlling
sardine recruitment strength (e.g., Garrido, 2017). In the Canary and African sub-regions, more than 70% of research
studies were field studies with half of those performed on early life
stages (eggs and larvae) of European sardine and anchovy (e.g., Ettahiri
et al., 2003; B´ecogn´ee et al., 2006; Moyano et al., 2014; Abdelouahab
et al., 2016). In the most recent period, hydrodynamic modelling
examined the transport dynamics of early life stages (Brochier et al.,
2011). Twice as many research articles were published on SPF in the
Mauritanian-Senegalese region in the most recent period (see Fig. 5)
including attempts to compile unpublished, archived datasets (e.g., Several studies exploring environmental links to recruitment and
abundance of anchovy and sardine in both the NB and the SB were
published during 2001–2006. In the NB, studies on sardine included a
synopsis of population fluctuations and possible environmental causes
during the 1990s (Boyer et al., 2001), and relating recruitment to SST in
the tropical Atlantic and coastal wind stress (Daskalov et al., 2003) and
to sea surface height (Hardman-Mountford et al., 2003). Studies in the
SB focused on anchovy recruitment, considered at the turn of this 11 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 century to be negatively correlated with southeasterly wind anomalies
during the October-March spawning period because of advective loss of
early life history stages (van der Lingen and Huggett, 2003). 3.3. The Benguela Current System Recent
results from simulations using a regional oceanographic model of the
south coast (Agulhas Bank) run with long-term (1948–2008) environ
mental forcing corroborated the mid-1990s shift from warmer to colder
temperatures and suggested that this was caused by a north–south
migration in the large-scale wind belts rather than by changes in the
Agulhas Current itself (Malan et al., 2019). van der Sleen et al. (2018)
investigated the relationship between Cape anchovy recruitment and
upwelling over the period 1985–2014 and found that recruitment was
significantly and positively correlated with cumulative December-
March (austral summer) upwelling. Those authors also reported that
the slope of that positive, linear relationship increased when anchovy
spawner biomass off the west coast in November/December of the
preceding year was above a threshold of 0.74 MMT. By combining the
two regressions for spawner biomass levels above and below that
threshold, van der Sleen et al. (2018) accounted for 82% of the observed
variability in anchovy recruitment. Sakamoto et al. (2020) examined
otolith oxygen isotope ratios and microstructure of sardine from the SB
and showed that nursery temperature affected early growth rates, with
fish from cooler (by around 3 ◦C) waters in the west reaching 37–46 mm
FL at 60 dph compared to those in warmer waters to the east that
reached 43–52 mm. Those studies have provided strong evidence that
bottom-up processes can have marked impacts on the distribution,
abundance and vital rates of SPF in the SB. Fig. 8. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on anchovy in the Benguela System. The species
was reported as either European or Cape anchovy. In total, 10 categories of
bottom-up drivers (below dotted line) were included: from left, 5 abiotic fac
tors, 3 physical / mixing processes, and 2 aspects of prey. Responses (above
dotted line) were separated into 9 categories including 7 at the individual level
(from left, 3 energetic costs or losses and 4 vital rates) and 2 at the population-
level (see Fig. 4 for legend). The thickness of lines represents the number of
studies. The color represents the type of study (not all types may be present). The number and type of studies considering only responses are also shown
(color and thickness of circles). Fig. 8. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on anchovy in the Benguela System. 3.3. The Benguela Current System The species
was reported as either European or Cape anchovy. In total, 10 categories of
bottom-up drivers (below dotted line) were included: from left, 5 abiotic fac
tors, 3 physical / mixing processes, and 2 aspects of prey. Responses (above
dotted line) were separated into 9 categories including 7 at the individual level
(from left, 3 energetic costs or losses and 4 vital rates) and 2 at the population-
level (see Fig. 4 for legend). The thickness of lines represents the number of
studies. The color represents the type of study (not all types may be present). The number and type of studies considering only responses are also shown
(color and thickness of circles). 3.4. The California Current System The California Current System (CalCS) was among the regions with
the most studies published on SPF in the two periods reviewed here
(Fig. 5). The CaICS is broadly defined as the eastern limb of the North
Pacific subtropical gyre and includes an equatorward flowing core that
is generally offshore of the shelf break and more coastal, poleward
flowing currents with seasonal variability in their depths and intensities. The CalCS extends from the eastern edge of the North Pacific Current 12 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. expanded its focus beyond its original goal of investigating reasons for
variability in the sardine population to include sampling that is relevant
to ocean responses to climate variability and change. The observations
off California are now complimented by the Investigaciones Mexicanas
de la Corriente de California (IMECOCAL) Program off Baja California
which was initiated in 1997. near Vancouver Island, Canada at about 50◦N to Baja California Sur,
Mexico near 25◦N where the surface flow turns westward to eventually
merge with the North Equatorial Current. Wind-driven upwelling (both
coastal upwelling and positive wind-stress curl) is a crucial element of
the physical climate processes influencing biological productivity in the
CalCS. Similar to other wind-driven EBUS, biological productivity in the
CalCS is rich, but temporally variable across multiple time scales. Recent research on SPF in the CalCS has been shaped by a long
history of studies in the region that began in the first two decades of the
20th century with the rapidly expanding industrial fishery. The species
of focus for these research efforts has varied through time as the pop
ulations of commercial interest have alternated; northern anchovy
became the focus of most research in the 1960s, 1970s, and 1980s
during periods of anomalously low biomass of Pacific sardine. Research
originating from the region has contributed to about 10% of the total
work assessed during the two periods considered in this manuscript
(2001–2006 and 2011–2016) with a consistent number of studies pub
lished during the two periods (n = 52 and 51, respectively). Roughly
75% of the publications during these periods focused on Pacific sardine,
though several studies also considered species interactions. As noted
above, much of the fundamental physiological and life-history work on
SPF in the CalCS was conducted in the 20th century. 3.4. The California Current System Work published in
recent decades has emphasized the consequences of changes in ocean
conditions (e.g., physical conditions and planktonic prey fields) on the
distribution and population productivity of SPF (Fig. 9). i p
y
p
A number of noteworthy review articles describe the physical
oceanography of the CalCS. Perhaps the most recent of these reviews
includes description of the current understanding of the biological re
sponses to physical variability (Checkley and Barth, 2009). The body of
literature on processes in the CalCS describes relationships between
physical processes and fisheries in the region, but also recognizes that
these descriptions remain incomplete; observational and modelling
constraints often limit understanding of processes that occur at the
mesoscale and submesoscale, while the durations of observational time
series limit abilities to describe processes occurring at multidecadal time
scales. The seasonal cycles of upwelling favourable winds and biological
productivity vary along a meridional gradient in the CalCS. Upwelling
favourable winds are relatively weak but persistent year-round in the
southern portion (south of Pt. Conception near 35◦N) of the system. The
meridional direction and intensity of the winds exhibit increasing sea
sonality from Pt. Conception northward, typically with intense winds
from the north (upwelling favourable) in summer and winds from the
south (downwelling favourable) in winter. Variability in ecosystem
conditions has been attributed to changes in the intensity, persistence,
spatial pattern, and seasonal timing of these upwelling winds (Barth
et al., 2007; Bograd et al., 2009; Rykaczewski and Checkley, 2008). Additional sources of ecosystem variability stem from regional scale
changes in characteristics of the subtropical gyre circulation and
coastally trapped Kelvin waves (stimulated by El Ni˜no events in the
tropics) that can modulate the depth of the nutricline (Jacox et al.,
2018). Low-frequency variability (e.g., at decadal and multidecadal time
scales) in the climate conditions in the region have been associated with
changes in fish and invertebrate assemblages with implications for
commercial fisheries (Chelton et al., 1982). i In the first period considered here (2001–2006), a notable amount of
research was dedicated to investigating some of the physical processes
that influence the distribution, composition, and survival of larval SPF
and other members of the ichthyoplankton. These works were facilitated
by the 5 decades of ichthyoplankton data collected by CalCOFI (e.g.,
Logerwell et al., 2001; Smith et al., 2001; Smith and Moser, 2003; Lynn,
2003). 3.4. The California Current System Additionally, changes in distribution associated with the
1997–1998 El Ni˜no event and the initiation of the IMECOCAL Program
inspired investigation of the stock structure and distribution that span
ned political boundaries (e.g., Funes-Rodrı́guez et al., 2001; Nev´arez-
Martínez et al., 2001; Morales- Boj´orquez et al., 2003; Avendano-Ibarra
et al., 2004; Felix-Uraga et al., 2004; S´anchez-Velasco et al., 2004;
Morales-Boj´orquez and Nev´arez-Martínez, 2005). i
Historically, commercial fisheries focused on massive populations of
northern anchovy (Engraulis mordax) and Pacific sardine which made
significant contributions to the regional economies in California and
Baja California. The fishery for Pacific sardine grew to be the largest
fishery in North America in the 1930s and 1940s and inspired pio
neering research on SPF dynamics and the sustainability of their fish
eries (Sette, 1943). The alarming collapse of the sardine population in
the mid-1940s, however, had severe consequences for communities of
central California (John Steinbeck: Cannery Row). Observation of this
astonishing rearrangement of pelagic species in the mid-20th century
was the initial motivation for 1949 commencement of the California
Cooperative Oceanic Fisheries Investigations (CalCOFI), an oceano
graphic survey program with a mission of understanding the human
impacts and the influence of climate variability and climate change on
living marine resources in the CalCS (McClatchie, 2013). Despite sub
stantial investment in the collection of physical, chemical and biological
data associated with the initial decades of the CalCOFI program, debate
concerning the relative influence of commercial fishing and natural
climate and population variability persisted (Clarke and Marr, 1955)
and inspired alternative approaches to explore SPF variability. Investi
gation of ocean sediments provided a perspective on population vari
ability that precedes records of commercial landings (Soutar, 1967). This paleoceanographic approach stimulated a new field of SPF research
and has been repeated in other ecosystems around the globe. Research during the second period (2011–2016) also included sig
nificant contributions from scientists at Mexican institutions aimed at
resolving patterns of ichthyoplankton distribution and the sensitivity of Fig. 9. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on Pacific sardine in the California Current
System. In total, 10 categories of bottom-up drivers (below dotted line) were
used including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of
prey. 3.4. The California Current System During both time periods, this region produced a large amount of papers
reporting the results of modelling studies exploring changes in the
productivity and distribution (exampled for Pacific sardine shown in
Fig. 9). A resurgence in investigation of vital rates was also evident
during this more recent period (e.g., Zwolinski and Demer, 2013, 2014),
perhaps motivated by early evidence that the northern stock of Pacific
sardine was exhibiting successive recruitment failures. Although the
population of northern anchovy was studied during both periods, a
greater amount of anchovy-specific research was evident in the latter
period (e.g., Takahashi et al., 2012; Fissel et al., 2011). Additionally, the
decades of regular observations to quantify physical and biological
conditions in the CalCS has facilitated one of the more unique aspects of
research the region: application of theoretical numerical approaches to
explore causal relationships in long time series of observational data
(Sugihara et al., 2012; Deyle et al., 2013) (green arrows, Fig. 9). As data
continue to accumulate over time, the value of oceanographic and
fisheries observations to exploratory numerical analyses is certain to
increase. along with fishery-dependent stock surveys (Ichinokawa et al., 2017)
and complimentary acoustic surveys (Miyashita, 2018). In waters off
South Korea, the distribution and abundance of SPF has been examined
using trawls along with some acoustic data (Park et al., 2016). The population dynamics of SPF in the Kuroshio Current system are
characterized by alternating cycles of abundance linked to basin- and
multidecadal-scale climate variability. A prominent example is the shifts
in dominance between anchovy and sardine which coincides with
different phases of the Pacific Decadal Oscillation (PDO) index (Mantua
and Hare 2002). When the PDO index was positive(negative), SST was
lower(higher) in the NW Pacific and sardine(anchovy) was relatively
abundant (Takasuka et al., 2007). In the early 1980 s, sardine was
abundant while anchovy was relatively scarce and, by the end of that
decade, the situation was reversed. Since 2010, sardine has started to
increase in abundance while the SSB of anchovy has declined. This type
of cycle has occurred twice during the last 100 years. 3.5. The northwest Pacific The oceanographic setting of the Northwest Pacific (NW Pacific) is
characterized by dynamic fronts, meanders, and eddies formed during
the interaction between cold- and warm-water currents (Nakata et al.,
2000; Yasuda, 2003). The western boundary current system in the North
Pacific is formed from the interaction between the warm Kuroshio and
cold Oyashio Currents which converge off the coast of Japan and flow
eastward forming the Kuroshio Extension and Kuroshio-Oyashio tran
sition regions. In shelf areas to the north and east of the Kuroshio, a
number of smaller currents interact in the vicinity of the Korean
Peninsula including the warm Tsushima and East Korean Water Currents
which intersect the cold Liman Current in the Sea of Japan. The dynamic
mixing of these relatively nutrient-poor warm-water currents and
nutrient-rich cold currents creates a highly productive environment
supporting a variety of SPF such as Japanese sardine (Sardinops mela
nostictus), Japanese anchovy (Engraulis japonicus), round herring (Etru
meus teres), and Pacific herring. Studies published during the two time
periods on these 3 species were the second most numerous of any region
reviewed here (Fig. 5). i Research effort (in terms of the number of publications) was similar
in the earlier (n = 60) and later (n = 53) periods reviewed here with
most of the studies being field research. Unlike EBUS such as the HCS
where anchovy often obtains the highest SSB, sardine obtained the
highest biomass within the Kuroshio western boundary current system. Such a difference seems to be reflected in the study effort during the
1980s and 90s when most studies were focused on Japanese sardine. In
the two more recent periods reviewed here, however, the majority of
studies focused on anchovy (~70%) with fewer on sardine (~30%). Also, the number of studies examining both species has increased in the
most recent period. Since the late 2000s, studies have attempted to
advance a mechanistic understanding of the differences between Japa
nese sardine and Japanese anchovy. These include inter-specific com
parisons of the response of growth (Takasuka et al., 2007, 2009; Itoh
et al., 2011), spawning (Oozeki et al., 2007; Takasuka et al., 2008a,
2008b), and transport (Itoh et al., 2009, 2011) to environmental factors. Laboratory studies have also examined energy allocation strategies for
reproduction (Yoneda et al., 2014; Tanaka et al., 2016). 3.4. The California Current System The pattern of the
species alternation in the NW Pacific was synchronous with that
observed in eastern regions of the Pacific (California and Humboldt
Current systems) despite the reversed temperature regimes between the
opposite sides of the Pacific in the past, although the pattern observed in
the California Current system has already been out of synchrony (Ka
wasaki, 1983; Chavez et al., 2003; Takasuka et al., 2008b). Although “regimes” in productivity and abundance of different SPF
have been recognized since Kawasaki (1983) compared sardine among
various current systems, the physical-biological mechanisms linking
climate variability to the population dynamics of SPF are still debated. Some hypotheses are based on changes in the winter mixed layer depth
and spring phytoplankton bloom in the nursery grounds of sardine (Noto
and Yasuda, 1999; Nishikawa and Yasuda, 2008; Nishikawa et al., 2011,
2013). For example, Noto and Yasuda (1999) found a close relationship
between the mortality during the early life stages and winter SST in the
nursery ground of sardine. Other hypotheses are based on changes in
water temperature and species-specific differences in the optimal ther
mal regimes for the early growth and spawning (Takasuka et al., 2007,
2008b). It is likely that an amalgam of factors are responsible for fluc
tuations in the productivity of different SPF such as the interaction be
tween temperature and food availability reported to control the growth
rate of larval anchovy (Takahashi and Watanabe, 2005) or prey avail
ability, temperature and intra-guild competition (Kawasaki and Omori,
1995; Kim et al., 2006) and/or fishing pressure (Suda et al., 2005;
Katsukawa, 2007; Wan and Bian, 2012). 3.4. The California Current System Responses (above dotted line) were separated into 9 categories including
7 at the individual level (from left, 3 energetic costs or losses and 4 vital rates)
and 2 at the population-level (see Fig. 4 for legend). The thickness of lines
represents the number of studies. The color represents the type of study (not all
types may be present). The number and type of studies considering only re
sponses are also shown (color and thickness of circles). Fig. 9. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on Pacific sardine in the California Current
System. In total, 10 categories of bottom-up drivers (below dotted line) were
used including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of
prey. Responses (above dotted line) were separated into 9 categories including
7 at the individual level (from left, 3 energetic costs or losses and 4 vital rates)
and 2 at the population-level (see Fig. 4 for legend). The thickness of lines
represents the number of studies. The color represents the type of study (not all
types may be present). The number and type of studies considering only re
sponses are also shown (color and thickness of circles). Fig. 9. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on Pacific sardine in the California Current
System. In total, 10 categories of bottom-up drivers (below dotted line) were
used including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of
prey. Responses (above dotted line) were separated into 9 categories including
7 at the individual level (from left, 3 energetic costs or losses and 4 vital rates)
and 2 at the population-level (see Fig. 4 for legend). The thickness of lines
represents the number of studies. The color represents the type of study (not all
types may be present). The number and type of studies considering only re
sponses are also shown (color and thickness of circles). Although the magnitudes of the commercial SPF catches have
declined substantially since the mid-20th century, the research meth
odology developed in the region formed the foundation for many
modern SPF surveys (e.g., the examination of batch fecundity by Hunter
and Leong (1981) and the development of DEPM by Lasker (1985)). The
CalCOFI Program has now continued for more than 70 years and 13 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. 3.4. The California Current System those patterns to climate conditions in the IMECOCAL region and the
Gulf of California (e.g., Funes-Rodríguez et al., 2012; Vergara-Solana
et al., 2013; Valencia-Gasti et al., 2015). Contributions that were
focused on the Pacific sardine stock found along the US west coast
included several efforts aimed at exploring the implications of climate
variability for resource management, including end-to-end models
(Fiechter et al., 2015; Rose et al., 2015) and stock forecasts (Kaplan
et al., 2016); population dynamics (Lindegren et al., 2013; Asch et al.,
2013; Song et al., 2012; Weber et al., 2015); and migration patterns
(Demer et al., 2012; McDaniel et al., 2016; Zwolinski et al., 2011). During both time periods, this region produced a large amount of papers
reporting the results of modelling studies exploring changes in the
productivity and distribution (exampled for Pacific sardine shown in
Fig. 9). A resurgence in investigation of vital rates was also evident
during this more recent period (e.g., Zwolinski and Demer, 2013, 2014),
perhaps motivated by early evidence that the northern stock of Pacific
sardine was exhibiting successive recruitment failures. Although the
population of northern anchovy was studied during both periods, a
greater amount of anchovy-specific research was evident in the latter
period (e.g., Takahashi et al., 2012; Fissel et al., 2011). Additionally, the
decades of regular observations to quantify physical and biological
conditions in the CalCS has facilitated one of the more unique aspects of
research the region: application of theoretical numerical approaches to
explore causal relationships in long time series of observational data
(Sugihara et al., 2012; Deyle et al., 2013) (green arrows, Fig. 9). As data
continue to accumulate over time, the value of oceanographic and
fisheries observations to exploratory numerical analyses is certain to
increase. those patterns to climate conditions in the IMECOCAL region and the
Gulf of California (e.g., Funes-Rodríguez et al., 2012; Vergara-Solana
et al., 2013; Valencia-Gasti et al., 2015). Contributions that were
focused on the Pacific sardine stock found along the US west coast
included several efforts aimed at exploring the implications of climate
variability for resource management, including end-to-end models
(Fiechter et al., 2015; Rose et al., 2015) and stock forecasts (Kaplan
et al., 2016); population dynamics (Lindegren et al., 2013; Asch et al.,
2013; Song et al., 2012; Weber et al., 2015); and migration patterns
(Demer et al., 2012; McDaniel et al., 2016; Zwolinski et al., 2011). 3.5. The northwest Pacific The biological
parameters obtained through those field and laboratory studies have
been incorporated into bioenergetics sub-routines for Japanese sardine
and saury (Cololabis saira) within end-to-end ecosystem models designed
to test different hypotheses of biological mechanisms and to make pro
jections of future population dynamics of these species (Ito et al., 2004;
Kishi et al., 2007; Ito et al., 2010; Okunishi et al., 2012a, b). The number
of modelling studies and review articles were higher in the more recent The SPF in the NW Pacific utilize water current systems for passive
drift and as migration pathways to create spatially complex life cycle
strategies. For example, Japanese sardine and anchovy utilize coastal
spawning grounds in the Pacific and a major portion of their eggs and
larvae are transported offshore by the Kuroshio Current. Juveniles
migrate north in the Kuroshio Extension to nursery and feeding grounds
in the Kuroshio–Oyashio transition region. As these fish grow and recruit
to adult stocks, they return inshore and move south for spawning. The
distribution and spawning areas of sardine and anchovy contract
coastward or expand offshore during period of low and high SSB,
respectively (Watanabe et al., 1996; Takasuka et al., 2008a). In contrast,
round herring is a subtropical species mainly distributed and spawning
in coastal waters whereas Pacific herring is a sub-Arctic species mainly
distributed and spawning in the cold waters of the Oyashio and Liman
Currents (Watanabe, 2007). The spawning patterns of SPF have been
well documented from monthly ichthyoplankton and zooplankton sur
veys conducted off the Pacific coast of Japan since 1978 (Oozeki, 2018) 14 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. nearshore spawning grounds for herring in the SW Baltic (e.g., Dodson
et al., 2019). period (2011–2016). The research map for Japanese anchovy in the NW
Pacific (Fig. 10) highlights the emphasis placed on field work exploring
aspects of the vital rates at the individual level (growth, feeding,
reproduction and survival) and the spatial distribution and productivity
of the population. Reviewing the research conducted on sprat in the SW Baltic Sea, Voss
et al. (2012) indicated that bottom-up processes (temperature, trans
port, prey abundance) had a greater influence on year-class survival
compared to top-down processes (predation mortality). 3.6. The Baltic Sea The Baltic Sea is the largest semi-enclosed, brackish water area in the
world with an opening in its southwest corner through the straights of
Denmark to the North Sea. The Baltic has a large catchment area and
river runoff creates a permanent halocline between surface waters with
low salinity and deeper, more saline waters (Fonselius, 1970). The Baltic
Sea has a series of submarine sills and deep basins whose deep waters are
hypoxic or anoxic (Fonselius, 1970). Atmospheric conditions cause
episodic inflow events of dense marine water from the North Sea which
renew and ventilate deep waters. In the most recent decades, these
inflow events are often followed by long stagnation periods (Lehmann
et al., 2002) and a decrease in the frequency of inflow events since the
1990s has been correlated to changes in zooplankton and fish pop
ulations within deep basins including the two main SPF, European sprat
and Atlantic herring (Alheit et al., 2005). Studies on SPF in the Baltic Sea
formed a relatively high proportion of those reviewed here (within the
top 4 of the 17 regions) (Fig. 5). During the two periods reviewed here, a considerable amount of
research was conducted on various life stages of both Atlantic herring
and sprat including reviews of how bottom-up processes may impact on
the recruitment dynamics of sprat (K¨oster et al., 2003; Voss et al., 2012),
herring (von Dorrien et al., 2013) or both species (M¨ollmann et al.,
2005; Casini et al., 2006). These and other studies have exploited rich
(long-term, often spatially-explicit) historical field data on the dominant
zooplankton and fish species (e.g., Casini et al., 2014), such as re
constructions of sprat spawning stock biomass back to the early 1930s
(e.g., Eero, 2012). These time series continue to grow in length and be
exploited to understand environmental drivers of recruitment success of
SPF. An example is examining seasonal / thermal windows of larval
survival using the Rügen Herring Larvae Survey, a survey started in the
mid-1970s and continued consistenly since the mid 1990s, which in
cludes weekly monitoring of larvae at one of the most important, There are a number of unique features of the Baltic Sea (from its
topography and hydrography to its populations of SPF) driving specific
research efforts. First, the Baltic Sea contains different sub-populations
and genetically distinct populations of Atlantic herring which display
different migration patterns and spawning seasons and locations. 3.5. The northwest Pacific For example, at
high spawning stock biomass, warm water temperatures and wind-
driven transport of sprat larvae from offshore spawning grounds to
coastal areas was correlated with poor year-class success (Baumann
et al., 2006). This was postulated to be due to density-dependent, top-
down control of zooplankton resources in coastal areas leading to poor
condition and starvation (Baumann et al., 2005). Post-larval sprat have
high rates of growth and feeding and considerable laboratory work has
been conducted to calibrate in situ proxies for these rates (Peck et al.,
2012a, 2015; Günther et al., 2015). A second, critical period was
considered to be the long over-winter period when relatively small,
young-of-the-year (age-0 juvenile) sprat may not survive (Peck et al.,
2012a; Voss et al., 2012). The work on Baltic sprat demonstrates how
environmental controls (such as temperature thresholds) can affect
various life stages to affect life cycle closure and population dynamics
(Haslob et al., 2012b). Research in the Baltic Sea has also revealed how
changes in the abundance of SPF can lead to density-dependent impacts
on their growth and/or condition (Casini et al., 2006) highlighting how
population dynamics of SPF are tightly coupled to the interaction be
tween extrinsic (environmental) drivers and intrinsic factors. 3.6. The Baltic Sea Considerable work was conducted in the time periods reviewed here to
resolve the spatial stock dynamics across the N. Atlantic basin
(McPherson et al., 2004) and among co-existing herring stocks in the
Baltic Sea (e.g., Jorgensen et al., 2005; Gr¨ohsler et al., 2013; Teacher
et al., 2013). A second feature is the strong vertical and depth gradients
in temperature, salinity and oxygen (water mass characteristics) struc
turing and controlling the survival and development (Peck et al., 2012b,
Moyano et al., 2016), feeding dynamics (Rajasilta et al., 2014), growth
(Baumann et al., 2006), spatial distribution (Nielsen et al., 2001; Nis
sling et al., 2003), and recruitment dynamics (Arula et al., 2016) of
herring and sprat. Finally, given potential changes in prey availability
and type driven by abiotic forcing, both laboratory and field studies
have examined how changes in the quantity and quality (such as the
contents of lipid including fatty acids or trophic upgrading) of
zooplankton can influence larval survival and somatic growth of
Atlantic herring (Illing et al., 2015; Paulsen et al., 2014, 2016) and sprat
(Peck et al., 2015; Peters et al., 2015) (see Fig. 11). Fig. 10. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on Pacific sardine in the California Current
System. In total, 10 categories of bottom-up drivers (below dotted line) were
used including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of
prey. Responses (above dotted line) were separated into 9 categories including
7 at the individual level (from left, 3 energetic costs or losses and 4 vital rates)
and 2 at the population-level (see Fig. 4 for legend). The thickness of lines
represents the number of studies. The color represents the type of study (not all
types may be present). The number and type of studies considering only re
sponses are also shown (color and thickness of circles). 3.7. The Mediterranean Sea Responses
(above dotted line) were separated into 9 categories including 7 at the indi
vidual level (from left, 3 energetic costs or losses and 4 vital rates) and 2 at the
population-level (see Fig. 4 for legend). The thickness of lines represents the
number of studies. The color represents the type of study (not all types may be
present). The number and type of studies considering only responses are also
shown (color and thickness of circles). important, sub-regions supporting productive SPF populations (e.g., the
Aegean Sea, the Gulf of Lions and nearby Catalan Coast, the Alboran Sea,
the Straits of Sicily/Tunisian Coast, and the Adriatic Sea: Agostini and
Bakun, 2002; Basilone et al., 2006; Zarrad and Missaoui, 2006; Tugores
et al., 2011; Giannoulaki et al., 2013; Bonanno et al., 2014). From 2000
to 2013, four species contributed roughly 50% of the SPF landings
including, in order of economic value, European anchovy, European
sardine, round sardinella and European sprat (FAO, 2018b). The large
economic and cultural importance of European anchovy (see Fig. 12 for
research conducted on this species) and other SPF in Mediterranean
countries has generated a wealth of research on bottom-up controls and
this is reflected by this region having the most published research on SPF
during the two time periods reviewed here (Fig. 5). This region had the highest number of publications in both of the two
periods reviewed here including a considerable number of review arti
cles. A thorough review of the research conducted on European anchovy
across the Mediterranean was published in 1996 (Palomera and Rubíes,
1996) and the latest period has seen an upsurge in reviews that are both
regional (Palomera et al., 2007; Sabat´es et al., 2007b, Van Beveren et al.,
2016) and thematic-oriented (Peck et al., 2013; Stergiou et al., 2016). Despite this wealth of research, it is challenging to disentangle the effect
of bottom-up processes controlling SPF when stocks experience heavy
fishing pressure and this is the case in the Mediterranean Sea. Efforts to
curtail the over-exploitation of SPF in this region are challenged due to
the plethora of countries, shared stocks, abundant shelters/ports and
high number of small fishing boats (e.g., Tsikliras et al., 2015). 3.7. The Mediterranean Sea The semi-enclosed, temperate Mediterranean Sea is rich in mesoscale
activity resulting from its complex topography and strong and varied
local winds (reviewed in Millot and Taupier-Letage, 2005). There are
several unique features of the Mediterranean Sea which offer opportu
nities to advance our understanding of bottom-up controls of SPF. First,
both temperate and tropical (e.g., round sardinella) SPF co-occur in the
region which offers a good test bed to examine historical (and projected)
changes in climate will impact SPF (e.g., Sabat´es et al., 2006; Maynou
et al., 2014, 2020; Stergiou et al., 2016). Second, although the whole
region is classified as a Large Marine Ecoystem (McLeod et al., 2005),
considerable east-to-west and north-to-south gradients exist in abiotic
factors, biological productivity and patterns of biodiversity. The mean
annual temperature and salinity, degree of oligotrophy and number of
introduced invasive species all increase from the NW to the SE (Coll
et al., 2010). Third, differences in topography, river discharge and
amounts of upwelling and mesoscale activity have created several Fig. 10. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on Pacific sardine in the California Current
System. In total, 10 categories of bottom-up drivers (below dotted line) were
used including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of
prey. Responses (above dotted line) were separated into 9 categories including
7 at the individual level (from left, 3 energetic costs or losses and 4 vital rates)
and 2 at the population-level (see Fig. 4 for legend). The thickness of lines
represents the number of studies. The color represents the type of study (not all
types may be present). The number and type of studies considering only re
sponses are also shown (color and thickness of circles). 15 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. Fig. 11. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on European sprat in the Baltic Sea. In total, 10
categories of bottom-up drivers (below dotted line) were used including 5
abiotic factors, 3 physical / mixing processes, and 2 aspects of prey. Responses
(above dotted line) were separated into 9 categories including 7 at the indi
vidual level (from left, 3 energetic costs or losses and 4 vital rates) and 2 at the
population-level (see Fig. 4 for legend). The thickness of lines represents the
number of studies. 3.7. The Mediterranean Sea The color represents the type of study (not all types may be
present). The number and type of studies considering only responses are also
shown (color and thickness of circles). Short-term, bottom-up processes impacting the dynamics of SPF
populations in the Mediterranean Sea include changes in riverine inputs
(Lloret et al., 2004; Santojanni et al., 2006; Macías et al., 2014),
advection and eddies (Sabat´es et al., 2007a, Catal´an et al., 2013; Ruiz
et al., 2013, ´Alvarez et al., 2015; Ospina-Alvarez et al., 2015) and
temperature (Maynou et al., 2014). Changes in the strength of bottom-
up control are clearly associated with climate variability and climate
change (e.g., Martín et al., 2011). For example, the mean temperature-
at-catch has steadily increased during the last two decades (Tsikliras
and Stergiou, 2014; Tzanatos et al., 2014) and Stergiou et al. (2016)
reported strong relationships between warming and shifts in abundance
of SPF, particularly after the 1990s. A northward expansion of round
sardinella in the Mediterranean Sea tracks warming in the northern
(Sabat´es et al., 2006; Maynou et al., 2014), central (Sinovcic et al., 2004)
and eastern regions (Tsikliras, 2008) and has been linked to a marked
decline in the abundance of European sardine. In the Gulf of Lions, de
creases in somatic growth rate, size-at-age and somatic condition, and an
increased age truncation of European anchovy and sardine have co-
occurred with an order of magnitude increase in the abundance of Eu
ropean sprat (Van Beveren et al., 2014; Brosset et al., 2016). Bottom-up
processes impacting the community composition of zooplankton,
together with reduced trophic niche partitioning are thought to be the
drivers of these intra-guild changes (Van Beveren et al., 2014; Brosset
et al., 2016). Shifts in seasonal spawning triggers have also occurred
(Tsikliras et al., 2010; Palomera et al., 2007). Similar to other regions,
low frequency teleconnections and periodic oscillations in local climate
conditions have been linked to fluctuations in SPF stocks (Grbec et al.,
2002; Lloret, 2000; Martín et al., 2011; Katara et al., 2011). Fig. 11. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on European sprat in the Baltic Sea. In total, 10
categories of bottom-up drivers (below dotted line) were used including 5
abiotic factors, 3 physical / mixing processes, and 2 aspects of prey. 3.7. The Mediterranean Sea More
over, the region is experiencing rapid warming and accelerated species
invasion (Libralato et al., 2015) disrupting the provision of natural
ecosystem services such as healthy, historically dominant catches of SPF
(Liquete et al., 2016; Stergiou et al., 2016). The intense exploitation and
warming combined with accelerated ecosystem changes due to species
invasions and other species changes (Stergiou et al., 2016; Brosset et al.,
2016) offers many examples of potential situations that SPF may suffer
elsewhere. Gaps exist, however, due to a scarcity of work employing
laboratory experiments to study the ecophysiology of different life
stages (reviewed in Peck et al., 2013). Also, similar to most systems,
habitats and potential life-cycle bottlenecks related to the juvenile stage
are poorly investigated. Increased research in southern Mediterranean
areas fostered within programs of the United Nations Food and Agri
cultural Organization (FAO) may partly ameliorate this situation. Fig. 12. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on European anchovy in the Mediterranean Sea. In total, 10 categories of bottom-up drivers (below dotted line) were used
including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of prey. Responses (above dotted line) were separated into 9 categories including 7 at
the individual level (from left, 3 energetic costs or losses and 4 vital rates) and 2
at the population-level (see Fig. 4 for legend). The thickness of lines represents
the number of studies. The color represents the type of study (not all types may
be present). The number and type of studies considering only responses are also
shown (color and thickness of circles). During the two periods reviewed here, research has been imbalanced
with respect to species, stages, bottom-up drivers and geographic loca
tions. For example, in both periods, ≥90% of the published studies
stemmed from European as opposed to African countries. The majority
of research has been conducted by Spain, Greece and Italy (on their
local, SPF sub-components). There was, however, a five-fold increase in
the number of studies published that stemmed from African countries
(Algeria, Tunisia, Morocco) between 2001 and 06 and 2011–16. The
increase in the number of publications in the second period was
Mediterranean-wide with almost twice the number of papers published
in the second compared to the first period. Most publications examined Fig. 12. 3.7. The Mediterranean Sea The potential
diet overlap between anchovy and sardine has also been extensively
studied (e.g., Chouvelon et al., 2015). Similar to other areas, most of the research conducted in the Medi
terranean Sea was field research (79% in 2001–2006 and 63% in
2011–2016). In both periods, field research focused on relationships
between environmental variables and distribution/abundance/struc
ture, followed by studies on maturation or spawning and somatic
growth. Our review found no published studies employing laboratory
studies (e.g., Fig. 12 for Europen anchovy). During the second period,
there was a marked increase in the number of studies examining diets
across life stages (e.g., Nikolioudakis et al., 2012; Costalago et al., 2012;
Costalago and Palomera, 2014; Rumolo et al., 2016) and exploring SPF
using physical-biogeochemcal models and Lagrangian, particle tracking
simulations conducted on anchovy (Catal´an et al., 2013; Ospina-´Alvarez
et al., 2013; Schismenou et al., 2013; Palatella et al., 2014) or end-to-end
models (Politikos et al., 2014; Coll et al., 2016). In both the North Sea and Bay of Biscay, spatially-explicit models
have been extensively employed to advance understanding of various
aspects of the ecology of SPF (Fig. 13a,b). Some of the earliest bio
physical models for fish early life stages were championed in the NE
Atlantic such as the drift modelling of herring early life stages by Bartsch
et al. (1989) in the North Sea. When IBMs started to be used more
frequently to examine SPF in the early 2000 s, an important advance was
coupling a Lagrangian tracking model to otolith-based back-calculated
growth trajectories of anchovy in the Bay of Biscay (Allain et al., 2003). Daewel et al. (2011) illustrated how an IBM for European sprat could be
linked to a lower trophic level model to explore both direct (tempera
ture, water currents) and indirect (prey field) impacts of climate vari
ability on potential survival to the end of the larval stage. The rich
spatiotemporal data series and laboratory work on herring larvae in the
North Sea were employed to create physiological-based (foraging and
growth) biophysical model to formulate and/or test hypotheses on
bottom-up drivers of recruitment (Hufnagl and Peck, 2011; Huebert and
Peck, 2014; Hufnagl et al., 2015). In the Bay of Biscay, juvenile and adult
life stages were included in spatially-explicit, bioenergetics models of
growth and movement in anchovy (Politikos et al., 2015). 3.7. The Mediterranean Sea Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) on European anchovy in the Mediterranean Sea. In total, 10 categories of bottom-up drivers (below dotted line) were used
including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of prey. Responses (above dotted line) were separated into 9 categories including 7 at
the individual level (from left, 3 energetic costs or losses and 4 vital rates) and 2
at the population-level (see Fig. 4 for legend). The thickness of lines represents
the number of studies. The color represents the type of study (not all types may
be present). The number and type of studies considering only responses are also
shown (color and thickness of circles). 16 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. European anchovy (58% and 73% in consecutive periods) followed by
European sardine (33% and 21%) and Round sardinella (8% and 1%). A
second notable trend is the increase in basin-wide research from the first
to second periods on essential habitats of European sardine and an
chovy, including juveniles (Tugores et al., 2011; Giannoulaki et al.,
2013). A remarkable upsurge in the amount of research on sprat and
round sardinella track the increase in abundance of these SPF species. Fernandez et al., 2015) and to thoroughly document long-term
changes in the intensity of site-specific spawning (Harma et al., 2012)
and productivity (Corten, 2013). A primary impetus for exploring these
herring data was to understand the collapse (in the early 1970 s) and
recovery (by the mid 1980 s) of the autumn-spawning North Sea herring
stock. In the Bay of Biscay, considerable research has been conducted on
many life history facets of European anchovy, particularly because this
stock collapsed and has now been rebuilt after a 5-yr closure of the
fishery (2005 to 2010). The fishery closure provided opportunities to
study natural mortality rates which appear very high for two-year olds,
suggesting senescence is an important, intrinsic limitation impacting on
population dynamics (Uriate et al., 2016). Retrospective analyses of the
seasonal dynamics of growth and/or distribution (Ibaibarriaga et al.,
2013; Petitgas et al., 2014; Boyra et al., 2016) have made use of annual,
broad-scale surveys conducted since the early 1990s during the anchovy
spawning season in spring. Separate in-shore and offshore spawning
populations have been identified (Montes et al., 2016). 3.7. The Mediterranean Sea This IBM
approach was linked to a Dynamic Energy Budget (DEB) model
including energy allocation rules (Gatti et al., 2013) giving rise to one of
only a handful of end-to-end models linking physics, lower trophic levels
(zooplankton), and life cycle ecophysiology of SPF. 3.8. The northeast Atlantic This region includes the European continental shelf area from the
Bay of Biscay in the south, the North Sea and waters surrounding the
British Isles, a spatial extent that includes a transition zone between
warmer-water (anchovy, sardine) and colder-water (sprat, herring) SPF. The hydrography of these shelf systems is dynamic with an array of
tidal-mixing, river plume and shelf break fronts fuelling an extremely
productive and complex food web. That many of these mesoscale fea
tures are strongly influenced by changes in physical forcing and many
SPF occur near their (high or low) latitudinal limit, are reasons why
strong changes in the distribution and/or abundance of SPF populations
have been correlated to climate variability in this region (Beare et al.,
2004; Petitgas et al., 2012; Alheit et al., 2012). i A variety of field studies published during the second 6-year period
(2011–2016) sought to understand habitat and resource partitioning by
a “novel” co-occurrence of SPF in the southern North Sea (Raab et al.,
2012; Bils et al., 2012). In, 2006, the productivity of a relict (coastal)
population of European anchovy in the southern North Sea dramatically
increased due to more favourable temperature and feeding conditions
and adult anchovy started to be identified in offshore trawl surveys
(Petitgas et al., 2012; Raab et al., 2013). During the same time period,
ichthyoplankton surveys found mixtures of European sardine and sprat
in the southern North Sea (Kanstinger et al., 2009). In late spring (May/
June), early life stages of European sardine, sprat and anchovy in
offshore frontal areas (Kanstinger et al., 2009) indicated the close
proximity and timing of spawning by the three species although Euro
pean anchovy were more abundant at shallower stations closer to the
coast. 3.9. The northwest Atlantic The NW Atlantic includes regions supporting warmer and cooler
water species of clupeoid fish such as bay anchovy (Anchoa mitchilli) in
the Chesapeake Bay and other coastal areas at lower latitudes, Atlantic
herring using spawning grounds on Georges Bank and in the Gulf of
Maine., as well as Atlantic menhaden (Brevoortia tyrannus) overlapping
in some habitats with both of the former species. Atlantic menhaden
supports one of the oldest and largest fisheries (by volume) in the NW
Atlantic (for fishing communities in Chesapeake Bay and other areas of
the mid-Atlantic bight of the east coast of the United States). That stock
declined dramatically in the 1990s and remained low for nearly a decade
but has subsequently increased under lower levels of fishing pressure
despite low recruitment indices. A number of research groups have consistently used laboratory
studies to explore aspects of the ecophysiology of North Sea Atlantic
herring such as how intrinsic and/or extrinsic factors influence funda
mental aspects of growth physiology. Examples include parental effects
on traits of early life stages (Bang et al., 2006) and how environmental
factors affect otolith ring formation (Fox et al., 2003), embryonic growth
(Geffen, 2002), muscle development (Temple et al., 2001; Temple et al.,
2001) or schooling behaviour (Domenici et al., 2002). This laboratory
work is complimented with large field datasets such as the dedicated
autumn and winter surveys for herring larvae that have been conducted
in the North and Irish Seas since 1959. Indices of abundance of larvae
from different spawning sites are available since 1972. Exploration of
these long-term survey data have helped researchers understand envi
ronmental drivers of recruitment such as winter water temperature and
/or zooplankton (Payne et al., 2009; Lusseau et al., 2014; Alvarez- In this region in the 1970s and 1980s, seminal laboratory studies
were conducted on Atlantic menhaden that provided a rare, mechanistic
understanding of the relationship between swimming, feeding (and diet)
and somatic growth (e.g., Durbin and Durbin, 1975; Durbin et al., 1980). 3.9. The northwest Atlantic The number and type
of studies considering only responses are also
shown (color and thickness of circles). Chesapeake Bay for menhaden populations (Luo et al., 2001) and
another linking primary production to growth (Annis et al., 2011). A
specific life history trait of menhaden includes offshore spawning with
transport and ingress of larvae to coastal estuarine nursery areas and
several studies examined the sources and characteristics of cohorts
entering nursery grounds (Warlen et al., 2002; Light and Able, 2003;
Lozano et al., 2012). Although fundamental studies on topics such as
ontogenetic changes in diets (Friedland et al., 2006) continued in both
periods, long-term data from menhaden sampling programs was mined
in the second period to explore temperature-growth characteristics
(Humphrey et al., 2014), mortality rates of larvae (Simpson et al., 2016)
and links between recruitment climate indices such as the Atlantic
Multi-decadal Oscillation (Buchheister et al., 2016). The impetus for
most of these studies has been to understand the decreased recruitment
strength of menhaden in this region since the 1990 s. Fig. 14. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) in the northwest Atlantic on bay anchovy. In
total, 10 categories of bottom-up drivers (below dotted line) were used
including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of prey. Responses (above dotted line) were separated into 9 categories including 7 at
the individual level (from left, 3 energetic costs or losses and 4 vital rates) and 2
at the population-level (see Fig. 4 for legend). The thickness of lines represents
the number of studies. The color represents the type of study (not all types may
be present). The number and type of studies considering only responses are also
shown (color and thickness of circles). Bay anchovy represents another species that was studied intensively
in the laboratory and mesocosms in the 1980s to gain fundamental data
on bioenergetics rates leading to seminal modelling studies of its role (as
predator and prey) within Chesapeake Bay (Lou and Brandt, 1993). Within both periods reviewed here, our search string found 11 papers
that explored a variety of processes from larval transport (North and
Houde, 2004), recruitment dynamics (Jung and Houde, 2004) and the
growth dynamics of a population close to the high latitudinal limit of the
species (Lapolla et al., 2001a,b). 3.9. The northwest Atlantic An emphasis of several of these studies
was to test hypotheses by applying spatial or ecosystem (size-based)
models to field data. This was continued in the only study published on
Bay anchovy in the second period by Adamack et al. (2014) who
explored how hypoxia (driven by scenarios of nutrient loading and
rainfall) would impact on the mortality of larvae (see research map,
Fig. 14). That work followed on from field measurements indicating that
Bay anchovy recruitment was inversely related to dissolved oxygen
concentrations in different regions of the estuary (Jung and Houde,
2004). The marked decline in studies published from the first to the
second period suggests a waning interest in conducting studies on
bottom-up processes and factors affecting Bay anchovy. Fig. 14. Research emphasis in papers published during two time periods
(2001–2006, and 2011–2016) in the northwest Atlantic on bay anchovy. In
total, 10 categories of bottom-up drivers (below dotted line) were used
including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of prey. Responses (above dotted line) were separated into 9 categories including 7 at
the individual level (from left, 3 energetic costs or losses and 4 vital rates) and 2
at the population-level (see Fig. 4 for legend). The thickness of lines represents
the number of studies. The color represents the type of study (not all types may
be present). The number and type of studies considering only responses are also
shown (color and thickness of circles). subsequent larval rentential areas a few months were examined by
Stephenson et al. (2015) showing the complex behavioural and bio
physical (advective) processes influencing the metapopulation structure
of herring in the Bay of Fundy. 3.9. The northwest Atlantic During the first of the two periods reviewed here, studies on menhaden
utilized those ecophysiological results to create various types of growth
models such as one providing 3-D estimates of the carrying capacity of In this region in the 1970s and 1980s, seminal laboratory studies
were conducted on Atlantic menhaden that provided a rare, mechanistic
understanding of the relationship between swimming, feeding (and diet)
and somatic growth (e.g., Durbin and Durbin, 1975; Durbin et al., 1980). During the first of the two periods reviewed here, studies on menhaden
utilized those ecophysiological results to create various types of growth
models such as one providing 3-D estimates of the carrying capacity of 17 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. Fig. 13. Research emphasis in papers pub
lished during two time periods (2001–2006,
and 2011–2016) in the northeast Atlantic
including Atlantic herring in the North Sea
(Panel A) and European anchovy in the Bay
of Biscay (Panel B). In total, 10 categories of
bottom-up drivers (below dotted line) were
used including 5 abiotic factors, 3 physical /
mixing processes, and 2 aspects of prey. Re
sponses (above dotted line) were separated
into 9 categories including 7 at the individ
ual level (from left, 3 energetic costs or losses
and 4 vital rates) and 2 at the population-
level (see Fig. 4 for legend). The thickness
of lines represents the number of studies. The
color represents the type of study (not all
types may be present). The number and type
of studies considering only responses are also
shown (color and thickness of circles). Fig. 13. Research emphasis in papers pub
lished during two time periods (2001–2006,
and 2011–2016) in the northeast Atlantic
including Atlantic herring in the North Sea
(Panel A) and European anchovy in the Bay
of Biscay (Panel B). In total, 10 categories of
bottom-up drivers (below dotted line) were
used including 5 abiotic factors, 3 physical /
mixing processes, and 2 aspects of prey. Re
sponses (above dotted line) were separated
into 9 categories including 7 at the individ
ual level (from left, 3 energetic costs or losses
and 4 vital rates) and 2 at the population-
level (see Fig. 4 for legend). The thickness
of lines represents the number of studies. The
color represents the type of study (not all
types may be present). 3.10. Sub-polar regions (Gulf of Alaska and Bering, Barents and
Norwegian Seas) g., Holst et al., 2002), relative ease of laboratory culture, and intense
long-term changes including stock collapses and recoveries. In the sub-
polar NE Atlantic, large stocks of plantivorous fish co-occur and may
compete for resources, which has been a catalyst for studying diets (e.g.,
Godiksen et al., 2006; ´Oskarsson et al., 2015) and distributions (Utne
et al., 2012b) and for the development of individual-based models of
movements and habitat utilization (Utne and Huse, 2012). i Long-term field data exist for herring in sub-polar waters and, not
unexpectedly, a number of retrospective studies have been published. In
the NE Atlantic, the Norwegian Spring Spawning (NSS) herring stock
collapsed to very low biomass levels in the 1960s and was rebuilt in the
1980s. Reproductive characteristics differed between high and low
(collapsed) stock biomass levels with fish maturing at larger body sizes
and at decreased ages during the collapse period (Engelhard and Heino,
2004) which could suggest a release from density-dependent growth
regulation. For NSS herring in the Barents Sea, the relationship between
recruitment and temperature was relatively weak (e.g., Fiksen and
Slotte, 2002) which agrees with the results of a longer (1913 to 2007)
time series analysis in which only a weak (albeit significant) positive
relationship was observed, where recruitment variability was not
correlated with temperature, and recruitment variability was lower
prior to the stock collapse (Bogstad et al., 2013). In Pacific herring,
density dependence was suggested in a time series of stock size and
temperature during certain regimes identified using fuzzy logic (Chen,
2001). In the analysis of a shorter (10-year) but highly seasonally
resolved (e.g., weekly to monthly sampling) time series, Reum et al. (2013) found no evidence for density-dependent growth of larvae (but
growth was related to temperature) but significant density-dependent
growth during the early juvenile phase highlighting how the dominant
mechanisms controlling growth can be stage-specific. p p
p
(
)
g ( g ,
,
)
Studies have examined behavioural-mediated movements of herring
at a variety of spatial scales from the sub-micro (thin layers and diurnal
vertical migration (DVM) of larvae) to meso (feeding migrations of
adult). For example, field sampling by Ferreira et al. (2012) found that
Atlantic herring larvae perform type I DVM (shallow during day, deep at
night) likely resulting mainly from foraging tactics. 3.10. Sub-polar regions (Gulf of Alaska and Bering, Barents and
Norwegian Seas) Laboratory work on
Pacific herring demonstrated how the presence of thin layers but not
necessarily prey patches can attract larvae and impact their vertical
distribution (Clay et al., 2004). In adult Atlantic herring in the Barents
Sea, foraging tactics were also used to explain the large-scale feeding
migrations. In that case, the seasonal movements of schools appeared to
be linked to regional differences in the timing of the ascent into shallow
waters of a key prey species, the copepod Calanus finmarchicus (Broms
et al., 2012). Earlier work by Kvamme et al. (2003) documented changes
in the movement of herring schools towards locations with higher
concentrations of prey. Changes in depth distribution of adult Atlantic
herring across 12 years were suggested to be due to inter-annual dif
ferences in the strength of intra- and inter-specific competition for prey,
indicating density-dependent changes in habitat utilization (Huse et al.,
2012). In another example, Langård et al. (2014) documented consis
tent, pre-spawning schooling dynamics of herring in a coastal Norwe
gian fjord and reported on the influence of variation in fish size and
spawning phase on school tightness. Finally, work on first-time migrants
and changes in wintering grounds demonstrated the importance of so
cial learning in shaping the large-scale migration patterns of NSS herring
(Huse et al., 2010). i i
There were a considerable number of studies published on the spatial
dynamics of populations of both sister species of herring (Fig. 15). In
sub-polar waters of both the Atlantic and Pacific, complex herring stock
structures exist and a variety of studies have employed genetics to
explore the relatedness between and within herring species (Jørstad,
2004). For instance, comparisons of allozyme loci and vertebral
numbers suggested large differences between NSS herring captured
simultaneously with individuals more closely related to Pacific herring The ability to artificially spawn and rear herring in the laboratory
has promoted laboratory research on various aspects of early life stages
such as the effects of environmental stressors on survival (Lefebvre et al.,
2005; Froehlich et al., 2015), feeding (Utne-Palm, 2004; Ingvarsd´ottir Fig. 15. Research emphasis in papers published during two time periods (2001–2006, and 2011–2016) in sub-polar systems in the northern hemisphere including
Pacific herring in the northeast Pacific (Panel A) and Atlantic herring in the Barents and North Sea (Panel B). 3.10. Sub-polar regions (Gulf of Alaska and Bering, Barents and
Norwegian Seas) Two sister species of herring dominate the SPF assemblage in sub-
polar waters in the northern hemisphere (e.g., between 50 and 70◦N). Atlantic herring dominates in the Nordic, and Irminger and Labrador
Seas while Pacific herring dominates in the Gulf of Alaska and Berring
Sea. Both Pacific and Atlantic herring are extremely valuable fisheries
resources not only to commercial fisheries but also to indigenous peo
ples in sub-polar regions. Atlantic and Pacific herring are, arguably,
among the most thoroughly studied fish species in the world for which
seminal research has established fundamental paradigms of factors
controlling fish productivity and year-class success (e.g., Hj¨ort, 1914). This review, mostly focusing on a 12-year period in the new millenium,
ignores a long history of examination fuelled then and now by the
unique life history attributes and traits of herring. These traits include a Long-term bottom trawl survey data allowed an exploration of how
habitat occupancy contracted under stock collapse and expanded again
after the recover of Atlantic herring across three key sub-regions of the
NW Atlantic as well as within a specific sub-region (Overholtz, 2002;
Overholtz and Friedland, 2002). Another study explored small-scale
swimming movements of adult spawners using ultrasonic tags
revealing, in some cases, selective tidal stream transport (Lacoste et al.,
2001). Work on movement patterns of adult spawners was continued in
earnest in the second period with studies using spatial and temporal data
derived from hydroacoustic survey revealing seasonal movements
including spawning aggregations (Jech and Stroman, 2012; Wurtzell
et al., 2016). The locations of adult spawner aggregations and 18 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. sampled in the Japan Sea and the Gulf of Alaska ((Jørstad et al., 2004). Work in the early 2000s developed more powerful techniques to
distinguish both intra- and inter-stock genetic variation (e.g., kinship
analysis) using microsatellites (Olsen et al., 2002). Inter-breeding be
tween NSS and a coastal (fjord) stock explained the loss of differences in
larval growth rate and vertebral numbers over several decades sug
gesting that metapopulation structure in herring is dynamic (Johanne
sen et al., 2014). Studies of introgression between these Pacific and
Atlantic sister species have generated hypotheses regarding post-glacial
population separation and (re-)mixing (e.g., Laakkonen et al., 2015). complex stock structure, recurrent migration patterns (feeding and
reproductive migrations including homing to specific spawning sites, e. 4.1. Projecting future productivity of SPF For example,
based on future changes in water temperature projected by climate
climate models, the center of the distribution of Peruvian anchoveta was
expected to shift to higher latitudes at rates between 13 and 33 km /
decade depending on the severity of global warming (Jones and Cheung,
2015; Jones et al., 2015). These shifts in distribution will impact
accessibility of stocks and landings with downstream, global impacts on
fish meal and fish oil prices. Finally, a mechanistic understanding of how
physical and biogeochemical processes impact SPF populations is
required for advancing short-term forecasts (months to years) that could
be valuable for management of SPF stocks. Within the four EBUS (Humboldt, California, Benguela and Canary),
understanding how upwelling strength is linked to phytoplankton and
zooplankton production and how upwelling may change will be key to
making robust projections of how climate change impacts. In the
northern Humboldt, recent trends in SST are in accordance with the
hypothesis that increasing greenhouse gas concentrations will force
intensification of upwelling-favourable winds in EBUS (Bakun, 1990). Although this hypothesis was challenged by projections from global
climate models (Vecchi and Soden, 2007; Lu et al., 2007), these models
poorly represent the regional wind forcing and upwelling (Gent et al.,
2010). Overall, a consensus is emerging that the intensity and duration
of upwelling-favourable winds will increase in the southern Humboldt
Current system, off Chile and will (moderately) decrease off Peru
(Garreaud and Falvey, 2009; Falvey and Garreaud, 2009; Goubanova
et al., 2011; Echevin et al., 2012; Belmadani et al., 2014; Garcia-Reyes,
2015; Wang, 2015). Decreased upwelling would decrease the produc
tivity of lower trophic levels and warming-induced increases in strati
fication would ultimately increase the area of the OMZ. Such changes
are in agreement with those constructed from the paleo record in sedi
ments (Salvatteci et al., 2019). In central Chile, upwelling is predicted to
occur earlier, end later and be of greater intensity, especially in summer
(Garreaud and Falvey, 2009; Belmadani et al., 2014; Rykaczewski et al., Differences among the types of studies across regions can be visu
alized by comparing the ‘research maps’ (Fig. 16). In regions at rela
tively high latitudes, herrings and sprat are amenable to laboratory and
/or mesocosm research, allowing a wider array of responses (including
physiology and behaviour) to be examined. 4.1. Projecting future productivity of SPF Although we have attempted to highlight key research exploring
bottom-up controls of SPF which was published prior to (≤2000), be
tween (2007–2010) and after (≥2017) the two, 6-year time periods
exhaustively reviewed here. It should be noted that our global maps and
figures would look considerably different if these other time periods
were also included in a rigorous, systematic literature review. For
example, considerable field research on SPF was conducted in the 1980s
and 1990s in California as part of the long-running CalCOFI program. The types (and amounts) of studies performed in various regions are also
influenced by the types of large-scale (global) initiatives such as
GLOBEC (regional and national programs from 1990 to 2009) or specific
regional programs such as BENEFIT (1998–2007) in the Benguela
(Hampton and Sweijd, 2008), or the Humboldt Conference in 2006
(Bertrand et al., 2008b) and the DISCOH (Dynamics of the Humboldt
Current System, 2010–2019) International Joint Laboratory in the
Humboldt. These programs are often conducted in response to large-
scale changes (collapses or increases) of stocks. For example, the Cal
COFI program was promoted because of serious concerns over the
decline of sardine (https://calcofi.org/about-calcofi/history.html). The
type (and amount) of publications on SPF in specific regions can also be
influenced by the research interest (and productivity) of principle in
vestigators who have ‘championed’ SPF research. For example, the late
1970s through the 1990s was a very productive period at the Ches
apeake Biological Laboratory for research conducted on bay anchovy). Finally, the history of research conducted in specific regions likely
influenced the types of studies that were published in this millennium. For example, studies including robust conceptual and process models
are, arguably, only possible in areas where long-term field data were
available. Although it is beyond the scope of the present study to exhaustively
review projections of climate change impacts on SPF populations, un
derstanding how bottom-up factors such as temperature and prey
availability regulate SPF populations is critical to making these pro
jections. Moreover, making robust projections of changes in bottom-up
forcing and SPF are critical because of the economic (and ecological
and cultural) importance of SPF, particularly for providing fish meal and
fish oil required by the growing aquaculture industry. 3.10. Sub-polar regions (Gulf of Alaska and Bering, Barents and
Norwegian Seas) In total, 10 categories of bottom-up drivers (below
dotted line) were used including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of prey. Responses (above dotted line) were separated into 9 categories
including 7 at the individual level (from left, 3 energetic costs or losses and 4 vital rates) and 2 at the population-level (see Fig. 4 for legend). The thickness of lines
represents the number of studies. The color represents the type of study (not all types may be present). The number and type of studies considering only responses are
also shown (color and thickness of circles). Fig. 15. Research emphasis in papers published during two time periods (2001–2006, and 2011–2016) in sub-polar systems in the northern hemisphere including
Pacific herring in the northeast Pacific (Panel A) and Atlantic herring in the Barents and North Sea (Panel B). In total, 10 categories of bottom-up drivers (below
dotted line) were used including 5 abiotic factors, 3 physical / mixing processes, and 2 aspects of prey. Responses (above dotted line) were separated into 9 categories
including 7 at the individual level (from left, 3 energetic costs or losses and 4 vital rates) and 2 at the population-level (see Fig. 4 for legend). The thickness of lines
represents the number of studies. The color represents the type of study (not all types may be present). The number and type of studies considering only responses are
also shown (color and thickness of circles). 19 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. biophysical modelling in some (e.g., California Current, NE Atlantic,
Mediterranean Sea) but not all (e.g., NW Pacific, Humboldt System) of
those regions. In terms of vital rates, relatively few studies were pub
lished on reproduction compared to growth and feeding. Disease and
parasites were rarely studied nor were aspects of the physiology of SPF. In terms of physical factors, turbidity was least examined followed by
water density, pH and dissolved oxygen (albiet regional differences
exist). Turbulence was the physical process least often studied. We
speculate that at least two reasons might explain this lack of research
effort on turbulence. First, seminal work in the 1980s and 1990s (e.g.,
see review by Dower et al., 1997) produced results on the effects of
turbulence (microscale, on early life stages) that researchers may
perceive are applicable across species and regions. 3.10. Sub-polar regions (Gulf of Alaska and Bering, Barents and
Norwegian Seas) Similarly, the ability to capture and maintain large juvenile and adult
herring in small-scale in situ enclosures has led to studies examining
adaptive schooling behaviour such as changes in schooling in reponse to
sounds made by predators or ships (Wilson et al., 2002; Handegard et al.,
2015) or simulated attacks by predators (Rieucau et al., 2016). It should
be noted that, across the 10 years of published research reviewed here,
herring was the only SPF studied using mesocosms / in situ enclosures. In sub-polar waters, there is a rich history of using spatially-explicit
models to develop and test hypotheses on mechanisms behind observed
patterns in the growth and/or distribution of herring in both the Pacific
(Snauffer et al., 2014; Ito et al., 2015) and Atlantic (Huse et al., 2002;
Sætre et al., 2002; Vikebø et al., 2010) as well as the potential top-down
control of Calanus finmarchicus (Utne et al., 2012a). As previously
mentioned, these efforts stem from development of high-resolution
physical and/or biogeochemical models in the 1990s in both regions. Since 2008 in the Barents and Norwegian Seas, operational oceano
graphic tools have been forecasting the drift and distribution of larvae
and young juveniles of Atlantic herring to, among other things, aid in
survey design and implementation (Vikebø et al., 2011). 3.10. Sub-polar regions (Gulf of Alaska and Bering, Barents and
Norwegian Seas) Second, from a
methodological point of view, turbulence is not straightforward to study
under controlled laboratory conditions. Another clear gap in knowledge
is that relatively few studies were published that examined the effect of
prey quality (e.g., changes in lipid or fatty acid content of phyto- and
zooplankton) on SPF populations. Although only selected species are
shown for each region, these species were dominant in terms of the
amount of research conducted during the two 6-yr periods reviewed
here. et al., 2012) and behaviour (Maneja et al., 2015) of embryos and larvae
(Fig. 15). Research on herring larvae includes seminal studies doc
umenting ontogenetic changes in digestive capacity (e.g., Rojas-Garcia
et al., 2016) and nutritional requirements (e.g., Conceiç˜aoa et al., 2002). Similarly, the ability to capture and maintain large juvenile and adult
herring in small-scale in situ enclosures has led to studies examining
adaptive schooling behaviour such as changes in schooling in reponse to
sounds made by predators or ships (Wilson et al., 2002; Handegard et al.,
2015) or simulated attacks by predators (Rieucau et al., 2016). It should
be noted that, across the 10 years of published research reviewed here,
herring was the only SPF studied using mesocosms / in situ enclosures. et al., 2012) and behaviour (Maneja et al., 2015) of embryos and larvae
(Fig. 15). Research on herring larvae includes seminal studies doc
umenting ontogenetic changes in digestive capacity (e.g., Rojas-Garcia
et al., 2016) and nutritional requirements (e.g., Conceiç˜aoa et al., 2002). Similarly, the ability to capture and maintain large juvenile and adult
herring in small-scale in situ enclosures has led to studies examining
adaptive schooling behaviour such as changes in schooling in reponse to
sounds made by predators or ships (Wilson et al., 2002; Handegard et al.,
2015) or simulated attacks by predators (Rieucau et al., 2016). It should
be noted that, across the 10 years of published research reviewed here,
herring was the only SPF studied using mesocosms / in situ enclosures. In sub-polar waters, there is a rich history of using spatially-explicit
models to develop and test hypotheses on mechanisms behind observed
patterns in the growth and/or distribution of herring in both the Pacific
(Snauffer et al., 2014; Ito et al., 2015) and Atlantic (Huse et al., 2002;
Sætre et al., 2002; Vikebø et al., 2010) as well as the potential top-down
control of Calanus finmarchicus (Utne et al., 2012a). 3.10. Sub-polar regions (Gulf of Alaska and Bering, Barents and
Norwegian Seas) As previously
mentioned, these efforts stem from development of high-resolution
physical and/or biogeochemical models in the 1990s in both regions. Since 2008 in the Barents and Norwegian Seas, operational oceano
graphic tools have been forecasting the drift and distribution of larvae
and young juveniles of Atlantic herring to, among other things, aid in
survey design and implementation (Vikebø et al., 2011). et al., 2012) and behaviour (Maneja et al., 2015) of embryos and larvae
(Fig. 15). Research on herring larvae includes seminal studies doc
umenting ontogenetic changes in digestive capacity (e.g., Rojas-Garcia
et al., 2016) and nutritional requirements (e.g., Conceiç˜aoa et al., 2002). Similarly, the ability to capture and maintain large juvenile and adult
herring in small-scale in situ enclosures has led to studies examining
adaptive schooling behaviour such as changes in schooling in reponse to
sounds made by predators or ships (Wilson et al., 2002; Handegard et al.,
2015) or simulated attacks by predators (Rieucau et al., 2016). It should
be noted that, across the 10 years of published research reviewed here,
herring was the only SPF studied using mesocosms / in situ enclosures. In sub-polar waters, there is a rich history of using spatially-explicit
models to develop and test hypotheses on mechanisms behind observed
patterns in the growth and/or distribution of herring in both the Pacific
(Snauffer et al., 2014; Ito et al., 2015) and Atlantic (Huse et al., 2002;
Sætre et al., 2002; Vikebø et al., 2010) as well as the potential top-down
control of Calanus finmarchicus (Utne et al., 2012a). As previously
mentioned, these efforts stem from development of high-resolution
physical and/or biogeochemical models in the 1990s in both regions. Since 2008 in the Barents and Norwegian Seas, operational oceano
graphic tools have been forecasting the drift and distribution of larvae
and young juveniles of Atlantic herring to, among other things, aid in
survey design and implementation (Vikebø et al., 2011). et al., 2012) and behaviour (Maneja et al., 2015) of embryos and larvae
(Fig. 15). Research on herring larvae includes seminal studies doc
umenting ontogenetic changes in digestive capacity (e.g., Rojas-Garcia
et al., 2016) and nutritional requirements (e.g., Conceiç˜aoa et al., 2002). 4.1. Projecting future productivity of SPF These research maps also
indicate that a considerable amount of field work has been published
documenting the spatial distribution of SPF but that many of those
studies did not explicitly examine any potential bottom-up driver(s)
influencing those patterns (e.g., thick outline around spatial distribution
symbols in 7 of the 12 regions) (Fig. 16). The availability of field data is
likely a reason for the greater emphasis placed on spatially-explicit 20 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. Progress in Oceanography 191 (2021
eck et al. 6. Research maps of studies exploring fundamental aspects of small pelagic fishes focusing on bottom-up factors and processes. The number of f
lines), laboratory experiments (red lines), spatially-explicit modelling (blue lines), statistical time series analyses (green lines) and mesocosm stud
conducted on key small pelagic fish species in 12 different regions is shown. This is based on the pooled studies published across 12 years (2
2016). Line thickness denotes the number of studies (also for symbol outlines indicating the number of studies that examined only a response an
m-up forcing factor or process). The legend for the symbols (see insert) are more easily seen in Fig. 4. (For interpretation of the references to color in
d, the reader is referred to the web version of this article.) Fig. 16. Research maps of studies exploring fundamental aspects of small pelagic fishes focusing on bottom-up factors and processes. The number of field studies
(grey lines), laboratory experiments (red lines), spatially-explicit modelling (blue lines), statistical time series analyses (green lines) and mesocosm studies (yellow
lines) conducted on key small pelagic fish species in 12 different regions is shown. This is based on the pooled studies published across 12 years (2001–2006,
2011–2016). Line thickness denotes the number of studies (also for symbol outlines indicating the number of studies that examined only a response and not any
bottom-up forcing factor or process). The legend for the symbols (see insert) are more easily seen in Fig. 4. (For interpretation of the references to color in this figure
legend, the reader is referred to the web version of this article.) Fig. 16. Research maps of studies exploring fundamental aspects of small pelagic fishes focusing on bottom-up factors and processes. 4.1. Projecting future productivity of SPF or physical changes within ecosystems such as the shoaling of OMZ
waters and habitat compression tending to increase overlap with pred
ators. These top-down processes are not included in this review. As
discussed in the Benguela section, other indirect (bottom-up) effects
related to climate change appear highly relevant such as the increase in
HABs associated with decreased somatic condition of sardine (van der
Lingen et al., 2016). Outside of the four, major EBUS regions, projecting how climate
change may alter bottom-up processes impacting the productivity of SPF
is also challenging for a few reasons. First, in oligotrophic areas such as
the Mediterranean Sea, the results of different biogeochemical models
(e.g., depictions of the dynamics of the deep chlorophyll maximum)
agree poorly in some regions (e.g., Ramírez-Romero et al., 2020) and
making robust projections of the impacts of climate change on SPF will
require a better representation of i) mesoscale ocean physics in topo
graphically complex areas, ii) nutrient loading by rivers fueling local
production, iii) conditions causing local upwelling events. Projecting the
effects of climate change will not only require better representations of
these physical processes but also continuing to collect time-series data as
well as new physiological data from laboratory experiments testing
climate change-related drivers across life stages. • Oxygen minimum zones and seasonal extents of hypoxia are
expanding. More research is needed on the acute (survival) and
chronic (reductions in growth, reproduction) impacts of hypoxia on
SPF. At the same time, explorations of how low dissolved oxygen and
other drivers of SPF populations (either via laboratory experiments
or statistical analyses of field data) need to recognize the complexity
and context-specific effects of multiple direct and indirect factors (e. i
g., Bertrand et al., 2011). Taking this holistic view will help better
build and parameterize end-to-end models that attempt to depict
how expanding OMZs and other processes affect complex ecosystem
dynamics. • The use of otoliths to infer exact ages and somatic growth rates of
early life stages is challenging in some species of SPF. Continued
work is needed to verify and corroborate daily increment formation
in the otoliths of SPF, particularly when environmental conditions
cause relatively low rates of somatic growth (cold temperatures, low
prey abundance). 4.1. Projecting future productivity of SPF Quantifying and reducing the error associated
larval growth trajectories (first weeks of life) from the otoliths of
much older juveniles is needed to apply a “characteristics of survi
vors” approach (Plaza et al., 2019). The application of advanced
chemical analyses such as δ18O (Javor 2013; Darnaude et al., 2014;
Sakamoto et al., 2020) could yield important information on popu
lation structure, spatial dynamics and movement patterns. Climate change may cause no-analog combinations of abiotic and
biotic conditions, at least in terms of modern-day field observations in
various ecosystems. Reconstructing paleorecords, such as time periods
when productivity was lower and OMZs were larger than at present in
the HUC (Salvatteci et al., 2019) or changes in winter sea surface tem
perature in the NW Pacific (Kuwae et al., 2017) may provide valuable
analogs to situations that could be faced in the future (in the absence of
fishing). 4.1. Projecting future productivity of SPF The number of field studies
(grey lines), laboratory experiments (red lines), spatially-explicit modelling (blue lines), statistical time series analyses (green lines) and mesocosm studies (yellow
lines) conducted on key small pelagic fish species in 12 different regions is shown. This is based on the pooled studies published across 12 years (2001–2006,
2011–2016). Line thickness denotes the number of studies (also for symbol outlines indicating the number of studies that examined only a response and not any
bottom-up forcing factor or process). The legend for the symbols (see insert) are more easily seen in Fig. 4. (For interpretation of the references to color in this figure
legend, the reader is referred to the web version of this article.) 21 21 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 2015; Wang et al., 2015). Furthermore, climate change may signifi
cantly reduce the spawning success of small pelagic fish in the Humboldt
Current (Brochier et al., 2013). In this EBUS, therefore, changes in
bottom-up factors (temperature, prey and dissolved oxygen) are ex
pected to cause relatively dramatic shifts in the productivity and dis
tribution of SPF with implications for the world’s largest, single-species
fishery. • Understanding bottom-up drivers requires a close marriage between
laboratory experiments, field surveys and biophysical modelling. This tripartite approach has been fully realized in studies conducted
on Atlantic herring, a species relatively easy to grow in the labora
tory, but not for most other SPF (clupeid) species. Establishment of
broodstocks, captive rearing and programs studying the ecophysi
ology of various life stages will allow species-specific parameteriza
tions of mechanistic (physiological-based) models. i i
Climate-induced shifts in bottom-up factors are more complicated
and less distinct in other EBUS. For example, recent trends in upwelling
intensity in the Canary EBUS remain unclear (Sousa et al., 2017),
especially when compared to other EBUS (Sydeman et al., 2014; Wang
et al., 2015). During the recent period of global warming (1967–2007),
no increase in upwelling intensity in the Iberian and NW African sectors
was observed and sea surface temperature only marginally increased at
a rate greater than 0.01 ◦C yr−1 (Barton et al., 2013). Zonal (sub-region
specific) and seasonal shifts in bottom-up processes, however are ex
pected in the future. 4.1. Projecting future productivity of SPF Recent projections suggest an overall increase in
upwelling intensity in the W Iberian Peninsula and decrease in NW Af
rica (Wang et al., 2015; Sousa et al., 2017), and total cumulative up
welling has increased off the South African south coast in the southern
Benguela but not in the northern Benguela (Lamont et al., 2018). Similarly, the magnitude and impact of ongoing ocean acidification is
expected to be region-specific and highly dependent on changes in up
welling intensity (Gonz´alez-D´avila et al., 2009). It is important to note
that predation pressure on SPF has shifted and may also markedly shift
in the future due novel mixtures of species resulting from climate-driven
warming and latitudinal shifts of populations (e.g., Garrido et al., 2015) • Quantitative field sampling of young-of-the-year (YOY) juveniles
needs to be developed. The body size of young juveniles reduces their
catchability in gears often used in surveys. Young-of-the-year (YOY)
juveniles can avoid plankton nets used to catch eggs and larvae and
can be too small to be reliably retained by purse seines and trawl nets
used to capture adults in stock assessment surveys. Due to their large
numbers and high mass-specific rates of feeding, YOY juveniles can
have very large trophodynamic impacts on prey and suffer food
limitation, reducing rates of growth and survival. Where young ju
veniles have been studied (e.g., Voss et al., 2012), it is clear that the
dynamics of this life stage can have large impacts on the strength of
recruitment. • More emphasis is needed on understanding the role of density-
dependence in population dynamics of SPF (e.g., Takasuka et al.,
2019) to examine the magnitude of top-down regulation of prey
resources as well as intra-guild dynamics such as competition and
predation. More emphasis on intra-guild processes may help unravel
mechanisms controlling fluctuations in SPF stocks. l l
• Continued study of the influence of climate variability on SPF and
their ecosystems is needed including investigations of the impacts of
ocean–atmosphere interactions and climate modes and current sys
tems (Alheit et al., 2019a). These explorations should not only be
correlative (detecting patterns in field time series data) but also
advance knowledge on the mechanisms and processes in ocean
ecosystems represented by changes in these atmospheric / oceanic
indices of climate variability that affect the growth and survival of
SPF. 5. Recommendations • Mesocosm studies contributed less than 1% of the research published
on SPF in the time periods (2001–2006 and 2011 to 2016) reviewed
here. In the 1980s and 1990s, mesocosm studies provided useful data
on the growth, feeding and survival of SPF in semi-natural settings
(Fuiman and Gamble, 1988; Cowan and Houde, 1990). The use of
large mesocosms is, arguably, the best way to advance understanding
on how both direct (e.g., temperature, pH) and indirect (prey field)
factors influence the growth and survival of SPF (Sswat et al., 2018). Based on our global review of the studies published on SPF, we are
able to make a number of recommendations for future research needed
to advance our understanding of how bottom-up factors and processes
control the dynamics of these ecologically and economically important
fishes. These recommendations are not independent from one another. 22 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. Research programs utilizing mesocosms may, thus, provide much-
needed information on how environmental factors interact to affect
SPF. Research programs utilizing mesocosms may, thus, provide much-
needed information on how environmental factors interact to affect
SPF. Alheit, J., 1987. Egg cannibalism versus egg predation: their significance in anchovies. In
The Benguela and Comparable Ecosystems. Payne, A.I.L., Gulland, J.A., Brink, K.H. (Eds). South African Journal of Marine Science 5, 467–470. Alheit, J., 1993. Use of the daily egg production method for estimating biomass of
clupeoid fishes: a review and evaluation. Bulletin of Marine Science 53, 750–767. • Due to their global distribution, their economic and ecological
importance and the similarity in their biology, research on SPF has
been traditionally characterized by large international cooperation. Some of the shifts in the amount of peer-reviewed publications (and
their research emphasis) between the two, 6-year periods reviewed
here, can be attributed to changes in the magnitude of international
collaboration. There is a successful history of multinational projects
and meetings on SPF (Sharp and Csirke, 1983; Csirke and Sharp,
1984; Alheit and Bakun, 2010). For example, the regional GLOBEC
program SPACC (Small Pelagic Fish and Climate Change), started in
1994, lasted 15 years and culminated in the publication of the SPACC
book in 2009 (Checkley et al., 2009). Although recent symposia have
provided important platforms for knowledge exchange (Peck et al.,
2014; Alheit et. 5. Recommendations al., 2019b, Alheit and Peck, 2019), a coordinated,
global platform with sufficient funding for participation of scientists
from developing countries is needed to foster not only knowledge
exchange but also comparative studies. A first, new step towards
formal, global collaboration was recently taken by establishing a
working group on small pelagic fish supported by two international
marine science organizations (ICES – International Council for the
Exploration of the Seas - WGSPF; and PICES – North Pacific Science
Organization - WG43). The present review represents the first
product stemming from this international collaborative effort. • Due to their global distribution, their economic and ecological
importance and the similarity in their biology, research on SPF has
been traditionally characterized by large international cooperation. Some of the shifts in the amount of peer-reviewed publications (and
their research emphasis) between the two, 6-year periods reviewed
here, can be attributed to changes in the magnitude of international
collaboration. There is a successful history of multinational projects
and meetings on SPF (Sharp and Csirke, 1983; Csirke and Sharp,
1984; Alheit and Bakun, 2010). For example, the regional GLOBEC
program SPACC (Small Pelagic Fish and Climate Change), started in
1994, lasted 15 years and culminated in the publication of the SPACC
book in 2009 (Checkley et al., 2009). Although recent symposia have
provided important platforms for knowledge exchange (Peck et al.,
2014; Alheit et. al., 2019b, Alheit and Peck, 2019), a coordinated,
global platform with sufficient funding for participation of scientists
from developing countries is needed to foster not only knowledge
exchange but also comparative studies. A first, new step towards
formal, global collaboration was recently taken by establishing a
working group on small pelagic fish supported by two international
marine science organizations (ICES – International Council for the
Exploration of the Seas - WGSPF; and PICES – North Pacific Science
Organization - WG43). The present review represents the first
product stemming from this international collaborative effort. Alheit, J., Bakun, A., 2010. Population synchronies within and between ocean basins:
Apparent teleconnections and implications as to physical–biological linkage
mechanisms. Journal of Marine Systems 79, 267–285. Alheit, J., Hagen, E., 1997. Long-term climate forcing of European herring. Fisheries
Oceanography 6, 130–139. Alheit, J., Niquen, M., 2004. Regime shifts in the Humboldt Current ecosystem. Progress
in Oceanography 60, 201–222. i Alheit, J., Peck, M.A., 2019. Drivers of dynamics of small pelagic fish resources: biology,
management and human factors. Acknowledgements Annis, E.R., Houde, E.D., Harding Jr., L.W., Mallonee, M.E., Wilberg, M.J., 2011. Calibration of a bioenergetics model linking primary production to Atlantic
Menhaden Brevoortia tyrannus growth in Chesapeake Bay. Marine Ecology Progress
Series 437, 253–267. i The present review is an outcome of discussions at the ICES-PICES
Symposium on Drivers of Dynamics of Small Pelagic Fish convened in
Victoria, B.C., Canada in spring 2017. This review is a first contribution
of a new international Working Group on Small Pelagic Fish started
jointly by ICES (WGSPF) and PICES (WG43) to continue world-wide
collaboration to advance knowledge on the drivers of populations of
SPF. The authors would like to thank Dr. Vera K¨opsel for her help with
graphic design. MAP received partial funding from ‘PANDORA’ (Para
digm for New Dynamic Ocean Resource Assessments and Exploitation,
(EU H2020, No. 773713). Calibration of a bioenergetics model linking primary production to Atlantic
Menhaden Brevoortia tyrannus growth in Chesapeake Bay. Marine Ecology Progress
Series 437, 253–267. i Aoki, I., 1980. An analysis of the schooling behavior of fish: internal organization and
communication process. Bulletin of the Ocean Research Institute, University of
Tokyo 12, 1–65. ´ Arístegui, J., ´Alvarez-Salgado, X., Barton, E., Figueiras, F., Hern´andez-Le´on, S., Roy, C.,
Santos, A., 2006. Oceanography and fisheries of the Canary Current/Iberian region
of the Eastern North Atlantic (18a, E). Harvard University Press 877–927. (
,
)
y
Arístegui, J., Barton, E.D., ´Alvarez-Salgado, X.A., Santosm, A.M.P., Figueirasm, G.,
Kifanim, S., Hern´andez-Le´on, S., Mason, E., Machú, E., Demarcq, H., 2009. Sub-
i
l
t
i bilit
i
th
C
C
t
lli
P
i Arístegui, J., Barton, E.D., ´Alvarez-Salgado, X.A., Santosm, A.M.P., Figueirasm, G.,
Kifanim, S., Hern´andez-Le´on, S., Mason, E., Machú, E., Demarcq, H., 2009. Sub-
regional ecosystem variability in the Canary Current upwelling. Progress in
Oceanography 83 33 48 regional ecosystem variability in the Canary Current upwelling. Progress in
Oceanography 83, 33–48. Arrhenius, F., Hansson, S., 1993. Food consumption of larval, young and adult herring
and sprat in the Baltic Sea. Marine Ecology Progress Series 96, 125–137. Declaration of Competing Interest ´Alvarez, I., Catal´an, I.A., Jordi, A., Alemany, F., Basterretxea, G., 2015. Interaction
between spawning habitat and coastally steered circulation regulate larval fish
retention in a large shallow temperate bay. Estuararine Coastal and Shelf Science
167, 377–389. The authors declare that they have no known competing financial
interests or personal relationships that could have appeared to influence
the work reported in this paper. Alvarez-Fernandez, S., Licandro, P., van Damme, C., Hufnagl, M., 2015. Effect of
zooplankton on fish larval abundance and distribution: a long-term study on North
Sea herring (Clupea harengus). ICES Journal of Marine Science 72, 2569–2577. i Amenzoui, K., Ferhan-Tachinante, F., Yahyaoui, A., Kifani, S., Mesfioui, A.H., 2006. Analysis of the cycle of reproduction of Sardina pilchardus (Walbaum, 1792) off the
Moroccan Atlantic coast. Comptes Rendus Biologies 329, 892–901. d
d
ll
lb 5. Recommendations Marine Ecology Progress Series 617–618, 1–6. lh
¨
d
hl
kl Alheit, J., Gr¨oger, J., Licandro, P., McQuinn, I.H., Pohlmann, T., Tsikliras, A.C., 2019a. What happened in the mid-1990s? The coupled ocean-atmosphere processes behind
climate-induced ecosystem changes in the Northeast Atlantic and the Mediterranean. Deep Sea Res II 159, 130–142. Alheit, J., Di Lorenzo, E., Rykaczewski, R.R., Sundby, S., 2019b. Drivers of dynamics of
small pelagic fish resources: environmental control of long-term changes. Deep Sea
Res II 159, 1–3. Alheit, J., Licandro, P., Coombs, S., Garcia, A., Gir´aldez, A., Santamaría, M.T.G.,
Slotte, A., Tsikliras, A.C., 2014. Atlantic Multi-decadal Oscillation (AMO) modulates
dynamics of small pelagic fishes and ecosystem regime shifts in the eastern North
and Central Atlantic. Journal of Marine Systems 131, 21–35. Alheit, J., M¨ollmann, C., Dutz, J., Kornilovs, G., Loewe, P., Mohrholz, V., Wasmund, N.,
2005. Synchronous ecological regime shifts in the central Baltic and the North Sea in
the late 1980s. ICES Journal of Marine Science 62 (7), 1205–1215. lh i
hl
i i
i
i h
hi
i
ll Alheit, J., Pohlmann, T., Casini, M., Greve, W., Hinrichs, R., Mathis, M., O’Driscoll, K.,
b
l
b l
d
h
d
d Alheit, J., Pohlmann, T., Casini, M., Greve, W., Hinrichs, R., Mathis, M., O’Driscoll, K.,
Vorberg, R., Wagner, C., 2012. Climate variability drives anchovies and sardines into Alheit, J., Pohlmann, T., Casini, M., Greve, W., Hinrichs, R., Mathis, M., O’Driscoll, K.,
Vorberg, R., Wagner, C., 2012. Climate variability drives anchovies and sardines into
the North and Baltic Seas. Progress in Oceanography 96, 128–139. Alh it J
R
C
Kif
i S
2009 I
D
d l
l
i bilit
i
l ti Vorberg, R., Wagner, C., 2012. Climate variability drives anchovies and sardines into
the North and Baltic Seas. Progress in Oceanography 96, 128–139. Alheit, J., Roy, C., Kifani, S., 2009. In: Decadal-scale variability in populations. Cambridge University Press, pp. 67–87. ll i
i i
lli
h
l
i
f
l
l Allain, G., Petitigas, P., Grellier, P., Lazure, P., 2003. The selection process from larval to
juvenile stages of anchovy (Engraulis encrasicolus) in the Bay of Biscay investigated
by Lagrangian simulations and comparative otolith growth. Fisheries Oceanography
12, 407–418. Appendix A. Supplementary data Arula, T., Kotta, J., Lankov, A., Simm, M., P˜olme, S., 2012. Diet composition and feeding
activity of larval spring-spawning herring: Importance of environmental variability. Journal of Sea Research 68, 33–40. Supplementary data to this article can be found online at https://doi. org/10.1016/j.pocean.2020.102494. Arula, T., Raid, M., Simm, H., Ojaveer, T., 2016. Temperature-driven changes in early
life-history stages influence the Gulf of Riga spring spawning herring (Clupea
harengus m.) recruitment abundance. Hydrobiologia 767 (1), 125–135. References Bertrand, A., Segura, M., Guti´errez, M., V´asquez, L., 2004. From small-scale habitat
loopholes to decadal cycles: A habitat-based hypothesis explaining fluctuation in
pelagic fish populations off Peru. Fish and Fisheries 5 (4), 296–316. Bachiller, E., Irigoien, X., 2013. Allometric relations and consequences for feeding in
small pelagic fish in the Bay of Biscay. ICES Journal of Marine Science 70, 232–243. i Bachiller, E., Irigoien, X., 2013. Allometric relations and consequences for feeding in
small pelagic fish in the Bay of Biscay. ICES Journal of Marine Science 70, 232–243. Bachiller, E., Irigoien, X., 2015a. Trophodynamics and diet overlap of small pelagic fish i
Bachiller, E., Irigoien, X., 2015a. Trophodynamics and diet overlap of small pelagic fish
species in the Bay of Biscay. Marine Ecology Progress Series. i
Bertrand, A., Grados, D., Colas, F., Bertrand, S., Capet, X., Chaigneau, A., Vargus, G.,
Mousseigne, A., Fablet, R., 2014. Broad impacts of fine-scale dynamics on seascape
structure from zooplankton to seabirds. Nature Communications 5, 5239. Bachiller, E., Cotano, U., Ibaibarriaga, L., Santos, M., Irigoien, X., 2015b. Intraguild
predation between small pelagic fish in the Bay of Biscay: impact on anchovy
(Engraulis encrasicolus L.) egg mortality. Marine Biology 162, 1351–1369. i Bertrand, S., Diaz, E., Lengaigne, M., 2008c. Patterns in the spatial distribution of
Peruvian anchovy (Engraulis ringens) revealed by spatially explicit fishing data. Progress in Oceanography 79, 379–389. https://doi.org/10.1016/j. pocean.2008.10.009. Baibai, T., Oukhattar, L., Quinteiro, J., Mesfioui, A., Rey-Mendez, M., Soukri, A., 2012. First global approach: morphological and biological variability in a genetically
homogeneous population of the European pilchard, Sardina pilchardus (Walbaum,
1792) in the North Atlantic coast. Reviews in Fish Biology and Fisheries 22, 63–80. i Bils, F., Kanstinger, P., Kloppmann, M.H.F., Peck, M.A., 2012. Habitat partitioning by
fish larvae among coastal, offshore, and frontal zones in the southern North Sea. Aquatic Biology 15, 237–250. Bakun, A., 1990. Global climate change and intensification of coastal ocean upwelling. Science 247 (4939), 198–201. Blamey, L.K., Shannon, L.J., Bolton, J.J., Crawford, R.J.M., Dufois, F., Evers-King, H.,
Griffiths, C., Hutchings, L., Jarre, A., Rouauly, M., Watermeyer, K.E., Winker, H.,
2015. Ecosystem change in the southern Benguela and the underlying processes. Journal of Marine Systems 144, 9–29. Bakun, A., 1996. Patterns in the ocean: Ocean processes and marine population
dynamics. University of California Sea Grant, San Diego, CA, in cooperation with
Centro de Investigaciones Biologicas de Noroeste, La Paz, 323pp. References Boely, T., Chabanne, J., Fr´eon, P., St´equert, B., 1982. Cycle sexuel et migrations de
Sardinella aurita sur le plateau continental ouest-africain, des Illes Bissagos `a la
Mauritanie. Rapports et proc`es-verbaux des r´eunions / Conseil permanent
international pour l’exploration de la mer 180, 350–355. Bakun, A., Cury, P., 1999. The “school trap”: A mechanism promoting large-amplitude
out-of-phase population oscillations of small pelagic fish species. Ecology Letters 2,
349–351. Bald´e, B.S., D¨oring, J., Ekau, W., Diouf, M., Brehmer, P., 2019. Bonga shad (Ethmalosa
fimbriata) spawning tactics in an upwelling environment. Fisheries Oceanography
28, 686–697. Bograd, S.J., Schroeder, I., Sarkar, N., Qiu, X., Sydeman, W.J., Schwing, F.B., 2009. Phenology of coastal upwelling in the California Current. Geophysical Research
Letters 36, L01602. Ball´on, M., Bertrand, A., Ay´on, P., Grados, D., Gerlotto, F., Lebourges-Dhaussy, A.,
Guti´errez, M., 2011. Is there enough zooplankton to feed forage fish populations off
Peru? An acoustic (positive) answer. Progress in Oceanography 91 (4), 360–381. k
l
l
ff
l
l f Bogstad, B., Dingsør, G.E., Ingvaldsen, R.B., Gjøsæter, H., 2013. Changes in the
relationship between sea temperature and recruitment of cod, haddock and herring
in the Barents Sea. Marine Biology Research 9, 895–907. Bang, A., Grønkjær, P., Clemmesen, C., Høie, H., 2006. Parental effects on early life
history traits of Atlantic herring (Clupea harengus L.) larvae. Journal of Experimental
Marine Biology and Ecology 334, 51–63. f
b Bonanno, A., Giannoulaki, M., Barra, M., Basilone, G., Machias, A., Genovese, S.,
Goncharov, S., Popov, S., Rumolo, P., Di Bitetto, M., Aronica, S., Patti, B., Fontana, I.,
Giacalone, G., Ferreri, R., Buscaino, G., Somarakis, S., Pyrounaki, M.-M.,
Tsoukali, S., Mazzola, S., 2014. Habitat selection response of small pelagic fish in
different environments. Two examples from the oligotrophic Mediterranean Sea. PLoS ONE 9 (7), e101498. https://doi.org/10.1371/journal.pone.0101498. Barange, M., Coetzee, J.C., Twatwa, N.M., 2005. Strategies of space occupation by
anchovy and sardine in the southern Benguela: the role of stock size and intra-
species competition. ICES Journal of Marine Science 62, 645–654. Barbraud, C., Bertrand, A., Bouchon, M., Chaigneau, A., Delord, K., Demarcq, H.,
Gimenez, O., Gutierrez, M., Gutierrez, D., Oliveros-Ramos, R., Passuni, G.,
Tremblay, Y., Bertrand, S., 2018. Density dependence, prey accessibility and prey
depletion by fisheries drive Peruvian seabird population dynamics. Ecography 41,
1092–1102. Borges, M.F., Santos, A.M.P., Crato, N., Mendes, H., Mota, B., 2003. Sardine regime shifts
off Portugal: a time series analysis of catches and wind conditions. Scientia Marina
67, 235–244. References Bouhali, Z., Lechekhab, S., Ladaimia, S., Bedairia, A., Amara, R., Djebar, A., 2015. Reproduction and maturation of the gonads of Sardina pilchardus from the Gulf of
Annaba (North-Eastern Algeria). Cybium: International. Journal of Ichthyology 39
(2), 143–153. Barth, J.A., Menge, B.A., Lubchenco, J., Chan, F., Bane, J.M., Kirincich, A.R.,
McManus, M.A., Nielsen, K.J., Pierce, S.D., Washburn, L., 2007. Delayed upwelling
alters nearshore coastal ocean ecosystems in the northern California current. Proceedings of the National Academy of Sciences 104, 3719–3724. Bourg, B.L., B˘anaru, D., Saraux, C., Nowaczyk, A., Luherne, E.L., Jadaud, A., Bigot, J.L.,
Richard, P., 2015. Trophic niche overlap of sprat and commercial small pelagic
teleosts in the Gulf of Lions (NW Mediterranean Sea). Journal of Sea Research 103,
138–146. g
y
,
Barton, E.D., Field, D.B., Roy, C., 2013. Canary current upwelling: More or less? Progress
in Oceanography 116, 167–178. Bartsch, J., Brander, K., Heath, M., Munk, P., Richardson, K., Svendsen, E., 1989. Modeling the advection of herring larvae in the North Sea. Nature 340, 632–636. Boyer, D.C., Boyer, H.J., Fossen, I., Kreiner, A., 2001. Changes in the abundance of the
northern Benguela sardine stock during the decade 1990–2000, with comments on
the relative importance of fishing and the environment. South African Journal of
Marine Science 23 (1), 6–84. Basilone, G., Guisande, C., Patti, B., Mazzola, S., Cuttitta, A., Bonanno, A., Vergera, A.R.,
Maneiro, I., 2006. Effect of habitat conditions on reproduction of the European
anchovy (Engraulis encrasicolus) in the Strait of Sicily. Fisheries Oceanography 15,
271–280. Boyra, G., Pe˜na, M., Cotano, U., Xabier, I., Rubio, A., Nogueira, E., 2016. Spatial
dynamics of juvenile anchovy in the Bay of Biscay. Fisheries Oceanography 25,
529–543. Baumann, H., Hinrichsen, H.-H., M¨ollmann, C., K¨oster, F.W., Malzahn, A.M.,
Temming, A., 2006. Recruitment variability in Baltic Sea sprat (Sprattus sprattus) is
tightly coupled to temperature and transport patterns affecting the larval and early
juvenile stages. Canadian Journal of Fisheries and Aquatic Sciences 63, 2191–2201. Braham, C.-.B., Fr´eon, P., Laurec, A., Demarcq, H., Bez, N., 2014. New insights in the
spatial dynamics of sardinella stocks off Mauritania (North-West Africa) based on
logbook data analysis. Fisheries Research 154, 195–204. Baumann, H., Peck, M.A., G¨otze, E., Temming, A., 2007. Starving early juvenile sprat
Sprattus sprattus (L.) in western Baltic coastal waters: evidence from combined field
and laboratory observations in August and September 2003. Journal of Fish Biology
70, 853–866. References Progress in Oceanography 79 (2), 238–255. Bernal, M., Somarakis, S., Witthames, P.R., van Damme, C.J.G., Uriarte, A., Lo, N.C.H.,
Dickey-Collas, M., 2012. Egg production methods in marine fisheries; an
introduction. Fisheries Research 117 (118), 1–5. g
g
p y
( ),
Ay´on, P., Swartzman, G., Bertrand, A., Guti´errez, M., Bertrand, S., 2008b. Zooplankton
and forage fish species off Peru: large-scale bottom-up forcing and local-scale
depletion. Progress in Oceanography 79, 208–214. and forage fish species off Peru: large-scale bottom-up forcing and local-scale
depletion. Progress in Oceanography 79, 208–214. introduction. Fisheries Research 117 (118), 1–5. Bertrand, A., Chaigneau, A., Peraltilla, S., Ledesma, J., Graco, M., Monetti, F., Chavez, F.,
2011. Oxygen: A fundamental property regulating pelagic ecosystem structure in the
Coastal Southeastern Tropical Pacific. PLoS One 6 (12), E29558. Ay´on, P., Swartzman, G., Espinoza, P., Bertrand, A., 2011. Long-term changes in
zooplankton size distribution in the Peruvian Humboldt Current System: Conditions
favouring sardine or anchovy. Marine Ecology Progress Series 422, 211–222. A
S h
id
`
k
Ch b
d C
C
hi
i
f i
Bertrand, A., Gerlotto, F., Bertrand, S., Guti´errez, M., Alza, L., Chipollini, A., Diaz, E.,
Espinoza, P., Ledesma, L., Quesqu´en, R., Peraltilla, S., Chavez, F., 2008a. Schooling
behaviour and environmental forcing in relation to anchoveta distribution: an
analysis across multiple spatial scales. Progress in Oceanography 79, 264–277. Ba, A., Schmidt, J., D`eme, M., Lancker, K., Chaboud, C., Cury, P., Thiao, D., Diouf, M.,
Brehmer, P., 2017. Profitability and economic drivers of small pelagic fisheries in
West Africa: A twenty year perspective. Marine Policy 76, 152–158. y y
p
p
y
,
Ba, K., Thiaw, M., Lazar, N., Sarr, A., Brochier, T., Ismaïla, N., Faye, A., Sadio, O.,
P
fili J
Thi
O T T
B
P
2016 R
ili
f k
bi l
i
l Ba, K., Thiaw, M., Lazar, N., Sarr, A., Brochier, T., Ismaïla, N., Faye, A., Sadio, O.,
Panfili, J., Thiaw, O.T.T., Bremer, P., 2016. Resilience of key biological parameters
of the Senegalese flat sardinella to overfishing and climate change. PLoS ONE 11 (6),
e0156143. Bertrand, A., Guevara, R., Soler, P., Csirke, J., Chavez, F., 2008b. The Northern
Humboldt Current System: ocean dynamics, ecosystem processes, and fisheries. Special issue of Progress in Oceanography 79 (2–4), 95–412. d
´
´
ll
l
h b Humboldt Current System: ocean dynamics, ecosystem processes, and fisheries. Special issue of Progress in Oceanography 79 (2–4), 95–412. References Asch, R.G., Checkley, D.M., 2013. Dynamic height: a key variable for identifying the
spawning habitat of small pelagic fishes. Deep Sea Research. Part 1 Oceanographic
Research Papers 71, 79–91. Abdelouahab, H., Berraho, A., Ramzi, A.E., Errhif, A., Tojo, N., 2016. Mortality of early
life stages of European pilchard Sardina pilchardus along the Atlantic Coast of
Northwest Africa (22◦30’N-26◦N). Revista de Biología Marina y Oceanografía 51,
483–492. Augustyn, J., Cockcroft, A., Kerwath, S., Lamberth, S., Githaiga-Mwicigi, J., Pitcher, G.,
Roberts, M., van der Lingen, C., Auerswald, L., 2018. South Africa. In: Phillips, B.F.,
P´erez-Ramírez, M. (Eds.), Climate Change Impacts on Fisheries and Aquaculture: A
Global Analysis, Vol II. First Edition, John Wiley & Sons Ltd, pp. 479–522. Adamack, A.T., Rose, K.A., Breitburg, D., Nice, A.J., Lung, W.-S., 2014. Simulating the
effect of hypoxia on bay anchovy egg and larval mortality using coupled watershed,
water quality, and individual-based predation models. Marine Ecology Progress
Series 445, 141–160. Avenda˜no-Ibarra, R., Funes-Rodrı́guez, R., Hinojosa-Medina, A., Gonz´alez-Armas, R.,
Aceves-Medina, G., 2004. Seasonal abundance of fish larvae in a subtropical lagoon
in the west coast of the Baja California Peninsula. Estuarine, Coastal and Shelf
Science 61, 125–135. Agostini, V., Bakun, A., 2002. ‘Ocean triads’ in the Mediterranean Sea: physical
mechanisms potentially structuring reproductive habitat suitability (with example
application to European anchovy, Engraulis encrasicolus). Fisheries Oceanography 11,
129–142. Axelsen, B.E., Anker-Nilssen, T., Fossum, P., Kvamme, C., Noettestad, L., 2001. Pretty
patterns but a simple strategy: predator– prey interactions between juvenile herring
and Atlantic puffins observed with multibeam sonar. Canadian Journal of Zoology
79 (9), 1586–1596. Alamo, A., Espinoza, P., 1998. Variaciones alimentarias en Engraulis ringens y otros
recursos pel´agicos durante invierno-primavera de 1997. Informe Instituto del Mar
del Perú 130, 45–52. Alamo, A., Espinoza, P., 1998. Variaciones alimentarias en Engraulis ringens y otros
recursos pel´agicos durante invierno-primavera de 1997. Informe Instituto del Mar
del Perú 130, 45–52. Axelsen, B., Nøttestad, L., Fern¨o, A., Johannessen, A., Misund, O., 2000. “Await” in the
pelagic: a dynamic trade-off between reproduction and survival within a herring 23 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 school splitting vertically during spawning. Marine Ecology Progress Series 205,
259–269. Belmadani, A., Echevin, V., Codron, F., Takahashi, K., Junquas, C., 2014. What dynamics
drive future wind scenarios for coastal upwelling off Peru and Chile? Climate
Dynamics 43 (7), 1893–1914. Ay´on, P., Criales-Hernandez, M.I., Schwamborn, R., Hirche, H.-J., 2008a. Zooplankton
research off Peru: A review. References Dodson, J.J., Daigle, G., Hammer, C., Polte, P., Kotterba, P., Winkler, G.,
Zimmermann, C., 2019. Environmental determinants of larval herring (Clupea
harengus) abundance and distribution in the western Baltic Sea. Limnology and
Oceanography 64, 317–329. Chelton, D.B., Bernal, P.A., McGowan, J.A., 1982. Large-scale interannual physical and
biological interaction in the California Current. Journal of Marine Research 40,
1095–1123. g
y
Domenici, P., Silvana Ferrari, R., Steffensen, J., Batty, R., 2002. The effect of hypoxia on
school structure and dynamics in Atlantic herring (Clupea harengus). Proceedings of
the Royal Society of London B Biological Sciences 269, 2103–2111. Chen, D.-G., 2001. Detecting environmental regimes using fuzzy logic. Canadian Journal
of Fisheries and Aquatic Sciences 58 (11), 2139–2148. Chouvelon, T., Violamer, L., Dessier, A., Bustamante, P., Mornet, F., Pignon-Mussaud, C.,
Dupuy, C., 2015. Small pelagic fish feeding patterns in relation to food resource
variability: an isotopic investigation for Sardina pilchardus and Engraulis encrasicolus
from the Bay of Biscay (north-east Atlantic). Marine Biology 162, 15–37. https://doi. org/10.1007/s00227-014-2577-5. i Dopolo, M.T., van der Lingen, C.D., Moloney, C.L., 2005. Stage-dependent vertical
distribution of pelagic fish eggs on the western Agulhas Bank, South Africa. African
Journal of Marine Science 27 (1), 249–256. Dorval, E., McDaniel, J.D., Macewicz, B.J., Porzio, D.L., 2015. Changes in growth and
maturation parameters of Pacific sardine Sardinops sagax collected off California
during a period of stock recovery from 1994 to 2010. Journal of Fish Biology 87,
286–310. Clarke, F.N., Marr, J.C., 1955. Population dynamics of the Pacific sardine. California
Cooperative Oceanic Fisheries Investigations Reports 4, 11–47. Clay, T.W., Bollens, S.M., Bochdansky, A.B., Ignoffo, T.R., 2004. The effects of thin layers
on the vertical distribution of larval Pacific herring, Clupea pallasi. Journal of
Experimental Marine Biology and Ecology 301, 171–189. Dorval, E., Piner, K., Robertson, L., Reiss, C.S., Javor, B., Vetter, R., 2011. Temperature
record in the oxygen stable isotopes of Pacific sardine otoliths: Experimental vs. wild
stocks from the Southern California Bight. Journal of Experimental Marine Biology
and Ecology 397, 136–143. References Cowan Jr., J.H., Houde, E.D., 1990. Growth and survival of bay anchovy Anchoa mitchilli
larvae in mesocosm enclosures. Marine Ecology Progress Series 68, 47–57. l
variability and age on small pelagic fish body condition in the Gulf of Lions. Marine
Ecology Progress Series 529, 219–231. https://doi.org/10.3354/meps11275. Csirke, J., Sharp, G.D., 1984. Reports of the Expert Consultation to examine changes in
abundance and species composition of neritic fish resources. San Jos´e, Costa Rica,
18–29 April 1983. A preparatory meeting for the FAO World Conference on fisheries
management and development. FAO Fish Rep 291. i Buchheister, A., Miller, T.J., Houde, E.D., Secor, D.H., Latour, R.J., 2016. Spatial and
temporal dynamics of Atlantic menhaden (Brevoortia tyrannus) recruitment in the
Northwest Atlantic Ocean. ICES Journal of Marine Science 73, 1147–1159. ld
´
k
d
ff
f temporal dynamics of Atlantic menhaden (Brevoortia tyrannus) recruitment in the
Northwest Atlantic Ocean. ICES Journal of Marine Science 73, 1147–1159. Caldeira, C., Santos, A.M., R´e, P., Peck, M.A., Saiz, E., Garrido, S., 2014. Effects of prey
concentration on ingestion rates of European sardine (Sardina pilchardus) larvae in
the laboratory. Marine Ecology Progress Series 517, 217–228. d
l
h
h
fl
f b
d b
f Cury, P., Roy, C., 1989. Optimal environmental window and pelagic fish recruitment
success in upwelling areas. Canadian Journal of Fisheries and Aquatic Sciences 46,
670–680. Cardinale, M., Casini, M., Arrhenius, F., 2002. The influence of biotic and abiotic factors
on the growth of sprat (Sprattus sprattus) in the Baltic Sea. Aquatic Living Resources
15, 273–281. Daewel, U., Peck, M.A., Schrum, C., 2011. Life history strategy and impacts of climate
variability on early life stages of two marine fishes in the North Sea: An individual-
based modelling approach. Canadian Journal of Fisheries and Aquatic Sciences 68,
426–443. Casini, M., Cardinale, M., Hjelm, J., 2006. Inter-annual variation in herring, Clupea
harengus, and sprat, Sprattus sprattus, condition in the central Baltic Sea: What gives
the tune? Oikos 112, 638–650. Darnaude, A.M., Sturrock, A., Trueman, C.N., Mouillot, D., EIMF, Campana, S.E.,
Hunter, E., 2014. Listening in on the past: What can otolith δ18O values really tell us
about the environmental history of fishes? PLoS ONE 9 (12), e114951. Casini, M., Rouyer, T., Bartolino, V., Larson, N., Grygiel, W., 2014. Density-dependence
in space and time: Opposite synchronous variations in population distribution and
body condition in the Baltic Sea sprat (Sprattus sprattus) over three decades. References p
gy
gy
Coll, M., Piroddi, C., Steenbeek, J., Kaschner, K., Ben Rais Lasram, F., Aguzzi, J.,
Ballesteros, E., Bianchi, C.N., Corbera, J., Dailianis, T., Danovaro, R., Estrada, M.,
Froglia, C., Galil, B.S., Gasol, J.M., Gertwagen, R., Gil, J., Guilhaumon, F., Kesner-
Reyes, K., Kitsos, M.S., Koukouras, A., Lampadariou, N., Laxamana, E., L´opez-F´e de
la Cuadra, C.M., Lotze, H.K., Martin, D., Mouillot, D., Oro, D., Raicevich, S., Rius-
Barile, J., Saiz-Salinas, J.I., San Vicente, C., Somot, S., Templado, J., Turon, X.,
Vafidis, D., Villanueva, R., Voultsiadou, E., 2010. The biodiversity of the
Mediterranean Sea: Estimates, patterns, and threats. PLoS One 5, E11842. gy
Dower, J., Miller, T.J., Leggett, W.C., 1997. The role of microscale turbulence in the
feeding ecology of larval fish. Advances in Marine Biology 31, 169–220. Durbin, A.G., Durbin, E.G., 1975. Grazing rates of the Atlantic menhaden Brevoortia
tyrannus as a function of particle size and concentration. Marine Biology 33,
265–277. g
tyrannus as a function of particle size and concentration. Marine Biology 33,
265–277. Durbin, A.G., Durbin, E.G., Verity, P.G., Smayda, T.J., 1980. Voluntary swimming speeds
and respiration rates of a filter-feeding planktivore, the Atlantic menhaden,
Brevoortia tyrannus /Pisces: Clupeidae). Fisheries Bulletin 78, 877–886. Coll, M., Steenbeeck, J., Sole, J., Palomera, I., Christensen, V., 2016. Modelling the
cumulative spatial–temporal effects of environmental drivers and fishing in a NW
Mediterranean marine ecosystem. Ecological Modelling 331, 100–114. Echevin, V., Goubanova, K., Belmadani, A., Dewitte, B., 2012. Sensitivity of the
Humboldt Current system to global warming: A downscaling experiment of the IPSL-
CM4 model. Climate Dynamics 38 (3), 761–774. Mediterranean marine ecosystem. Ecological Modelling 331, 100 114. Conceiç˜aoa, L.E.C., Rønnestad, I., Tonheim, S.K., 2002. Metabolic budgets for lysine and
l
i
f d h
i
( l
h
) l
l Conceiç˜aoa, L.E.C., Rønnestad, I., Tonheim, S.K., 2002. Metabolic budgets for lysine and
glutamate in unfed herring (Clupea harengus) larvae. Aquaculture 206, 305–312. C
T
C
L R
M
i
S
G
l
H E
S
S
M
M I glutamate in unfed herring (Clupea harengus) larvae. Aquaculture 206, 305–312. Contreras, T., Castro, L.R., Montecinos, S., Gonzalez, H.E., Soto, S., Munoz, M.I., Edwards, M., Beaugrand, G., Helaouet, P., Alheit, J., Coombs, S., 2013. Marine ecosystem
response to the Atlantic Multidecadal Oscillation. PloS One 8, e57212. Contreras, T., Castro, L.R., Montecinos, S., Gonzalez, H.E., Soto, S., Munoz, M.I.,
Palma, S., 2014. References Brochier, T., Echevin, V., Tam, J., Chaigneau, A., Goubanova, K., Bertrand, A., 2013. Climate change scenario experiment predict a future reduction in small pelagic fish
recruitment in the Humboldt Current system. Global Change Biology 19 (6),
1841–1853. Baumann, H., Peck, M.A., Herrmann, J.-P., 2005. Short-term uncoupling of otolith and
somatic growth induced by food level changes in post-larval Baltic sprat, Sprattus
sprattus. Marine and Freshwater Research 56, 539–547. i Brochier, T., Mason, E., Moyano, M., Berraho, A., Colas, F., Sangr´a, P., Hern´andez-
Le´on, S., Ettahiri, O., Lett, C., 2011. Ichthyoplankton transport from the African
coast to the Canary Islands: A case study using a high-resolution hydrodynamic
model. Journal of Marine Systems 87, 109–122. Baumgartner, T., Soutar, A., Ferreira, V., 1992. Reconstruction of the history of pacific
sardine and northern anchovy populations over the past two millennia from
sediments of the Santa Barbara Basin, California. California Cooperative Oceanic
Fisheries Investigations Reports 33, 24–40. Broms, C., Melle, W., Horne, J.K., 2012. Navigation mechanisms of herring during
feeding migration: the role of ecological gradients on an oceanic scale. Marine
Biology Research 8, 461–474. Beare, D., Burns, F., Jones, E., Peach, K., Portilla, E., Greig, T., McKenzie, E., Reid, D.,
2004. An increase in the abundance of anchovies and sardines in the north-western
North Sea since 1995. Global Change Biology 10, 1209–1213. Brosset, P., Bourg, B.L., Costalago, D., B˘anaru, D., Beveren, E.V., Bourdeix, J.,
Fromentin, J.-M., M´enard, F., Saraux, C., 2016. Linking small pelagic dietary shifts
with ecosystem changes in the Gulf of Lions. Marine Ecology Progress Series 554,
157–171. B´ecogn´ee, P., Almeida, C., Barrera, A., Hern´andez-Guerra, A., Hern´andez-Le´on, S., 2006. Annual cycle of clupeiform larvae around Gran Canaria Island, Canary Islands. Fisheries Oceanography 15, 293–300. 24 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. relation to hydrodynamic and trophic environment in the Bay of Biscay. Journal of
Plankton Research 30, 467–481. Brosset, P., M´enard, F., Fromentin, J.-M., Bonhommeau, S., Ulses, C., Bourdeix, J.-H.,
Bigot, J.-L., Van Beveren, E., Roos, D., Saraux, C., 2015. Influence of environmental relation to hydrodynamic and trophic environment in the Bay of Biscay. Journal of
Plankton Research 30, 467–481. Brosset, P., M´enard, F., Fromentin, J.-M., Bonhommeau, S., Ulses, C., Bourdeix, J.-H.,
Bigot, J.-L., Van Beveren, E., Roos, D., Saraux, C., 2015. Influence of environmental
variability and age on small pelagic fish body condition in the Gulf of Lions. Marine
Ecology Progress Series 529, 219–231. https://doi.org/10.3354/meps11275. References PLoS
ONE 9 (4), e92278. https://doi.org/10.1371/journal.pone.0092278. i
Daskalov, G., Boyer, D., Roux, J., 2003. Relating sardine Sardinops sagax abundance to
environmental indices in northern Benguela. Progress in Oceanography 59,
257–274. Catal´an, I.A., Auch, D., Kamermans, P., Morales-Nin, B., Angelopoulos, N.V., Reglero, P.,
Sandersfield, T., Peck, M.A., 2019. Critically examining the knowledge base required
to mechanistically project climate impacts: A Case Study of Europe’s fish and
shellfish. Fish and Fisheries 20, 501–517. https://doi.org/10.1111/faf.12359. Demer, D.A., Zwolinski, J.P., Byers, K.A., Cutter, G.R., Renfree, J.S., Sessions, T.S., 2012. Prediction and confirmation of seasonal migration of Pacific sardine (Sardinops
sagax) in the California Current Ecosystem. Fisheries Bulletin of the US 110, 52–70. i
Catal´an, I.A., Macías, D., Sole, J., Ospina-Alverez, A., Ruiz, A., 2013. Stay off the
motorway: Resolving the pre-recruitment life history dynamics of the European
anchovy in the SW Mediterranean through a spatially-explicit individual-based
model (SEIBM). Progress in Oceanography 111, 140–153. https://doi.org/10.1016/
j.pocean.2013.02.001. de Moor, C.L., Butterworth, D.S., van der Lingen, C.D., 2017. The quantitative use of
parasite data in multistock modelling of South African sardine (Sardinops sagax). Canadian Journal of Fisheries and Aquatic Sciences 74, 1895–1903. Deyle, E.R., Fogarty, M., Hsieh, C.H., Kaufman, L., MacCall, A.D., Munch, S.B.,
Perretti, C.T., 2013. Predicting climate effects on Pacific sardine. Proceedings of the
National Academy of Sciences of the United States of America 110, 6430–6435. https://doi.org/10.1073/pnas.1215506110. Chavez, F.P., Bertrand, A., Guevara-Carrasco, R., Soler, P., Csirke, J., 2008. The northern
Humboldt Current System: Brief history, present status and a view towards the
future. Progress in Oceanography 79, 95–105. https://doi.org/10.1016/j. pocean.2008.10.012. DGRM, 2016. Directirate-Gernal for Natural Resources, Safety and Maritime Services. 2016 Fleet Reports. Available on the web. https://www.dgrm.mm.gov.pt/
documents/20143/46307/2016-RELAT%C3%93RIO_FROTA.pdf/eeffa787-4214-
6e2c-dec3-a0d9f43e391d. Chavez, F.P., Ryan, J., Lluch-Cota, S., Niquen, C.M., 2003. From anchovies to sardines
and back: multidecadal change in the Pacific Ocean. Science 299, 217–221. Diankha, O., Ba, A., Brehmer, P., Brochier, T., Sow, B.A., Thiaw, M., Gaye, A.T.,
Ngom, F., Demarcq, H., 2018. Contrasted optimal environmental windows for both
sardinella species in Senegalese waters. Fisheries Oceanography 27, 351–365. Dodson J J
Daigle G
Hammer C
Polte P
Kotterba P
Winkler G i
Checkley, D.M., Barth, J.A., 2009. Patterns and processes in the California Current
System. Progress in Oceanography 83, 49–64. Checkley Jr., D.M., Alheit, J., Oozeki, Y., Roy, C., 2009. Climate Change and Small
Pelagic Fish. Cambridge University Press, p. 372 pp.. Progress in Oceanography 191 (2021) 102494 Espinoza, P., Bertrand, A., 2014. Ontogenetic and spatiotemporal variability in
anchoveta Engraulis ringens diet off Peru. Journal of Fish Biology 84, 422–435. https://doi.org/10.1111/jfb.12293. Frommel, A., Maneja, R., Lowe, D., Pascoe, C.K., Geffen, A.J., Folkvord, A.,
Piatkowski, U., Clemmesen, C., 2014. Organ damage in Atlantic herring larvae as a
result of ocean acidification. Ecological Applications 24, 1131–1143. https://doi. org/10.1890/13-0297.1. g
j
Espinoza, P., Bertrand, A., van der Lingen, C.D., Garrido, S., Rojas de Mendiola, B., 2009. Diet of sardine (Sardinops sagax) in the northern Humboldt Current system and
comparison with the diets of clupeoids in this and other eastern boundary upwelling
systems. Progress in Oceanography 83, 242–250. https://doi.org/10.1016/j. pocean 2009 07 045 Fuiman, L.A., Gamble, J.C., 1988. Predation by Atlantic herring, sprat, and sandeels on
herring larvae in large enclosures. Marine Ecology Progress Series 44, 1–6. d í
´
´
d
´ Funes-Rodríguez, R., Cervantes-Duarte, R., L´opez-L´opez, S., Hinojosa-Medina, A., Z´arate-
Villafranco, A., Esqueda-Esc´arcega, D.M., 2012. Abundance patterns of early stages
of the Pacific sardine (Sardinops sagax) during a cooling period in a coastal lagoon
south of the California Current. Scientia Marina 76, 247–257. Espinoza, P., Lorrain, A., M´enard, F., Cherel, Y., Tremblay-Boyer, L., Arguelles, J.,
Tafur, R., Bertrand, S., Tremblay, Y., Ay´on, P., Munaron, J.-M., Pierre, R.,
Bertrand, A., 2017. Trophic structure in the northern Humboldt Current system: new
perspectives from stable isotope analysis. Marine Biology 164, 86. https://doi.org/
10.1007/s00227-017-3119-8. Funes-Rodrı́guez, R., Hinojosa-Medina, A., Avenda˜no-Ibarra, R., Hern´andez-Rivas, M.,
Saldierna-Martı́nez, R., Watson, W., 2001. Spawning of small pelagic fishes in Bahı́a
Magdalena, Baja California Sur, M´exico, at the beginning of the 1997–1998 El Ni˜no
event. Estuarine, Coastal and Shelf Science 53, 653–664. Essington, T., Moriarty, P.E., Froehlich, H.E., Hodgson, E.E., Koehn, L.E., Oken, K.L.,
Siple, M.C., Stawitz, C.C., 2015. Fishing amplifies forage fish population collapses. Proceedings of the National Academy of Sciences of the United States of America
112, 6648–6652. Ganias, K., 2009. Linking sardine spawning dynamics to environmental variability. Estuarine, Coastal and Shelf Science 84, 402–408. García-Reyes, M., Sydeman, W.J., Schoeman, D.S., Rykaczewski, R.R., Black, B.R.,
Smit, A.J., Bograd, S.J., 2015. Under Pressure: Climate Change, Upwelling, and
Eastern Boundary Upwelling Ecosystems. Frontiers in Marine Science 2, 109. https://doi.org/10.3389/fmars.2015.00109. Ettahiri, O., Berraho, A., Vidy, G., Ramdani, M., Do chi, T., 2003. Observations on the
spawning of sardina and sardinella off the south Moroccan Atlantic coast (21–26◦N). Fisheries Research 60, 207–222. Falvey, M., Garreaud, R.D., 2009. Progress in Oceanography 191 (2021) 102494 de Ferreira, A.S., Stenevik, E.K., Vollset, K.W., Korneliussen, R., Folkvord, A., 2012. Vertical migration of Norwegian spring-spawning herring larvae in relation to
predator and prey distribution. Marine Biology Research 8, 605–614. Garrido, S., Rosa, R., Ben-Hamadou, R., Cunha, M.E., Chicharo, M.A., van der Lingen, C. D., 2008b. Spatio-temporal variability in fatty acid trophic biomarkers in stomach
contents and muscle of Iberian sardine (Sardina pilchardus) and its relationship with
spawning. Marine Biology 154, 1053–1065. predator and prey distribution. Marine Biology Research 8, 605 614. Fiechter, J., Rose, K.A., Curchitser, E.N., Hedstrom, K.S., 2015. The role of environmental
controls in determining sardine and ancho
population c cles in the California Fiechter, J., Rose, K.A., Curchitser, E.N., Hedstrom, K.S., 2015. The role of environmental
controls in determining sardine and anchovy population cycles in the California
Current: analysis of an end-to-end model. Progress in Oceanography 138, 381–398. Fi ld D B
B
t
T R
F
i
V
G ti
D
L
M
t
H controls in determining sardine and anchovy population cycles in the California
Current: analysis of an end-to-end model. Progress in Oceanography 138, 381–398. Fi ld D B
B
t
T R
F
i
V
G ti
D
L
M
t
H Garrido, S., Saiz, E., Peters, J., R´e, P., Alvarez, P., Cotano, U., Herrero, D.L., Martínez, de
Murguía, A., Irigoien, X., 2012. Effect of food type and concentration on growth and
fatty acid composition of early larvae of the anchovy. Journal of Experimental
Marine Biology and Ecology 434, 16–24. https://doi.org/10.1016/j. jembe.2012.07.021. Field, D.B., Baumgartner, T.R., Ferreira, V., Gutierrez, D., Lozano-Montes, H.,
Salvatteci, R., Soutar, A., 2009. Variability from scales in marine sediments and
other historical records. In: Checkley, D.M., Alheit, J., Oozeki, Y., Roy, C. (Eds.),
Climate Change and Small Pelagic Fish. Cambridge University Press, pp. 45–63. Fiksen, Ø., Slotte, A., 2002. Stock–environment recruitment models for Norwegian spring
spawning herring (Clupea harengus). Canadian Journal of Fisheries and Aquatic
Sciences 59, 211–217. https://doi.org/10.1139/f02-002. Garrido, S., Silva, A., Marques, V., Figueiredo, I., Bry`ere, P., Mangin, A., Santos, A.M.P.,
2017. Temperature and food-mediated variability of European Atlantic sardine
recruitment. Progress in Oceanography 159, 267–275. Garrido, S., Silva, A., Pastor, J., Domínguez, R., Silva, A., Santos, A.M., 2015. Trophic
ecology of pelagic fish species off the Iberia: diet overlap, cannibalism and intraguild
predation. Marine Ecology Progress Series 539, 271–285. Fissel, B.E., Lo, N.C.H., Herrick, S.F., 2011. Progress in Oceanography 191 (2021) 102494 Regional cooling in a warming world: Recent
temperature trends in the southeast Pacific and along the west coast of subtropical
South America (1979–2006). Journal of Geophysical Research - Atmospheres 114
(D4) N/a. Garreaud, R.D., Falvey, M., 2009. The coastal winds off western subtropical South
America in future climate scenarios. International Journal of Climatology 29 (4),
543–554. Garrido, S., van der Lingen, C.D., 2014. Chapter 5 - Feeding Biology and Ecology. Book:
Biology and Ecology of Sardines and Anchovies. Ganias, K., (Ed.). CRC Press/ Taylor
& Francis – Science Publishers. FAO, 2016. The State of World Fisheries and Aquaculture 2016. Contributing to food
security and nutrition for all, Rome, p. 200. FAO, 2017. Global Capture Production database updated to 2015 - Summary
information. Retrieved from, FAO http://www.fao.org/3/a-br186e.pdf. Garrido, S., Ben-Hamadou, R., Oliveira, P.B., Cunha, M.E., Chícharo, M.A., van der
Lingen, C.D., 2008a. Diet and feeding intensity of sardine Sardina pilchardus:
correlation with satellite-derived chlorophyll data. Marine Ecology Progress Series
354, 245–256. https://doi.org/10.3354/meps07201. FAO, 2018a. Report of the FAO Working Group on the Assessment of Small Pelagic Fish
off Northwest Africa. Nouadhibou, Mauritania, 22 27 May 2017. FAO Fisheries and
Aquaculture Report No. 1221. Rome. Garrido, S., Crist´ov˜ao, A., Caldeira, C., Ben-Hamadou, R., Baylina, N., Batista, H.,
Saiz, E., Peck, M.A., R´e, P., Santos, A.M.P., 2016. Effect of temperature on the
growth, survival, development and foraging behaviour of Sardina pilchardus larvae. Marine Ecology Progress Series 559, 131–145. FAO, 2018. The State of Mediterranean and Black Sea Fisheries. General Fisheries
Commission for the Mediterranean, Rome, p. 172. ´
´
´
´ F´elix-Uraga, R., G´omez-Mu˜noz, V.M., Qui˜n´onez-Vel´azquez, C., Melo-Barrera, F.N.,
García-Franco, W., 2004. On the existence of Pacific sardine groups off the west
coast of Baja California and southern California. California Cooperative Oceanic
Fisheries Investigations Reports 45, 146–151. Garrido, S., Marçalo, A., Zwolinski, J., van der Lingen, C.D., 2007a. Laboratory
investigations on the effect of prey size and concentration on the feeding behaviour
of Sardina pilchardus. Marine Ecology Progress Series 330, 189–199. g
p
Fernandez, I.M., Gonz´alez-Quir´os, R., 2006. Analysis of feeding of Sardina pilchardus
(Walbaum, 1792) larval stages in the central Cantabrian Sea. Scientia Marina 70S1,
131–139. Garrido, S., Rosa, R., Ben-Hamadou, R., Cunha, M., Chícharo, M., van der Lingen, C.,
2007b. Effect of maternal fat reserves on the fatty acid composition of sardine
(Sardina pilchardus) oocytes. Comparative Biochemistry and Physiology B 148,
398–409. https://doi.org/10.1016/j.cbpb.2007.07.008. Progress in Oceanography 191 (2021) 102494 Daily egg production, spawning biomass, and
recruitment for the central subpopulation of northern anchovy 1981–2009. California Cooperative Oceanic Fisheries Investigations Reports 52, 116–135. Fonselius, S., 1970. On the stagnation and recent turnover of the water in the Baltic. Tellus 22 (5), 533–544. Gatti, P., Petitgas, P., Huret, M., 2013. Comparing biological traits of anchovy and
sardine in the Bay of Biscay: A modelling approach with the Dynamic Energy Budget. Ecological Modelling 348, 93–109. Fox, C.J., Folkvord, A., Geffen, A.J., 2003. Otolith micro-increment formation in herring
Clupea harengus larvae in relation to growth rate. Marine Ecology Progress Series
264, 83–94. Geffen, A.J., 2002. Length of herring larvae in relation to age and hatching order. Journal of Fish Biology 60, 479–485. Fr´eon, P., 1983. Production models as applied to sub-stocks depending on upwelling
fluctuations. Proceedings of the expert consultation to examine changes in
abundance and species composition of neritic fish resources. In, Csirke, J. Sharp, G. D. (eds), 1984 Reports of the Expert Consultation to examine changes in abundance
and species composition of neritic fish resources. San Jos´e, Costa Rica, 18–29 April
1983. A preparatory meeting for the FAO World Conference on fisheries
management and development. FAO Fish Rep 291(1): 102 p. Geffen, A.J., Nash, R.D.M., Dickey-Collas, M., 2011. Characterization of herring
populations west of the British Isles: an investigation of mixing based on otolith
microchemistry. ICES Journal of Marine Science 68 (7), 1447–1458. Gent, P.R., Yeager, S.G., Neale, R.B., Levis, S., Bailey, D.A., 2010. Improvements in a half
degree atmosphere/land version of the CCSM. Climate Dynamics 34 (6), 819–833. ´ Gerlotto, F., Bertrand, S., Bez, N., Guti´errez, M., 2006. Waves of agitation inside anchovy
schools observed with multibeam sonar: a way to transmit information in response to
predation. ICES Journal of Marine Science 63, 1405–1417. Fr´eon, P., Barange, M., Arístegui, J., McIntyre, A.D., 2009. Integrative and Comparative
Approaches: Integrative and comparative approaches. Special issue of Progress in
Oceanography 83 (1–4), 1–428. Gerlotto, F., Georgakarakos, S., Eriksen, P.K., 2000. The application of multibeam sonar
technology for quantitative estimates of fish density in shallow water acoustic
surveys. Aquatic Living Resources 13, 385–393. Fr´eon, P., Cury, P., Shannon, L., Roy, C., 2005. Sustainable exploitation of small pelagic
fish stocks challenged by environmental and ecosystem changes: A review. Bulletin
of Marine Science 76, 385–462. y
q
g
Gerlotto, F., Paramo, J., 2003. References Environmental conditions, early life stages distributions and larval
feeding of patagonian sprat Sprattus fuegensis and common sardine Strangornera
bentincki in fjords and channels of the northern Chilean Patagonia. Progress in
Oceanography 129, 136–148. Eero, M., 2012. Reconstructing the population dynamics of sprat (Sprattus sprattus
balticus) in the Baltic Sea in the 20th century. ICES Journal of Marine Science 69,
1010–1018. Eldon, B., Riquet, F., Yearsley, J., Jollivet, D., Broquet, T., 2016. Current hypotheses to
explain geneteic chaos under the sea. Current Zoology 62, 551–566. d
ill
l
ik
k
l Coombs, S.H., Smyth, T.J., Conway, D.V.P., Halliday, N.C., Bernal, M., Stratoudakis, Y.,
Alvarez, P., 2006. Spawning season and temperature relationships for sardine
(Sardina pilchardus) in the eastern North Atlantic. Journal of the Marine Biological
Association of the UK 86, 1245–1252. Emmett, R.T.L., Brodeur, R.D., Miller, T.W., Pool, S.S., Krutzikowksy, G.K., Bentley, P.J.,
McCrae, J., 2005. Pacific sardine (Sardinops sagax) abundance, distribution and
ecological relationships in the Pacific Northwest. California Cooperative Oceanic
Fisheries Investigations Reports 46, 122–143. Corten, A., 2013. Recruitment depressions in North Sea herring. ICES Journal of Marine
Science 70, 1–15. Engelhard, G.H., Heino, M., 2004. Maturity changes in Norwegian spring-spawning
herring before, during, and after a major population collapse. Fisheries Research 66,
299–310. Costalago, D., Palomera, I., 2014. Feeding of European pilchard (Sardina pilchardus) in
the northwestern Mediterranean: From late larvae to adults. Scientia Marina 78,
41–54. Costalago, D., Navarro, J., ´Alvarez-Calleja, I., Palomera, I., 2012. Ontogenetic and
seasonal changes in the feeding habits and trophic levels of two small pelagic fish
species. Marine Ecology Progress Series 460, 169–181. Espinoza, P., Bertrand, A., 2008. Revising Peruvian anchovy (Engraulis ringens) trophic
niche and ecological role reveals its plasticity and provides a new vision of the
Humboldt Current system. Progress in Oceanography 79, 215–227. Cotano, U., Irigoien, X., Etxebeste, E., ´Alvarez, P., Zarauz, L., Mader, J., Ferrer, L., 2008. Distribution, growth and survival of anchovy larvae (Engraulis encrasicolus L.) in 25 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 k
d
ll
l
fi ld
h l Itoh, S., Saruwatari, T., Nishikawa, H., Yasuda, I., Komatsu, K., Tsuda, A., Setou, T.,
Shimizu, M., 2011. Environmental variability and growth histories of larval
Japanese sardine (Sardinops melanostictus) and Japanese anchovy (Engraulis
japonicus) near the frontal area of the Kuroshio. Fisheries Oceanography 20,
114–124. Hawkins, A., Knudsen, F., Davenport, J., McAllen, R., Bloomfield, H., Schilt, C.,
Johnson, P., 2012. Grazing by sprat schools upon zooplankton within an enclosed
marine lake. Journal of Experimental Marine Biology and Ecology 411, 59–65. marine lake. Journal of Experimental Marine Biology and Ecology 411, 59–65. Hedgecock, D., 1994. Temporal and spatial genetic structure of marine animal Hedgecock, D., 1994. Temporal and spatial genetic structure of marine animal
populations in the California Current. California Cooperative Oceanic Fisheries
Investigations Report 35, 73–81. populations in the California Current. California Cooperative Oceanic Fisheries
Investigations Report 35, 73–81. Itoh, S., Yasuda, I., Nishikawa, H., Sasaki, H., Sasai, Y., 2009. Transport and
environmental temperature variability of eggs and larvae of the Japanese anchovy
(Engraulis japonicus) and Japanese sardine (Sardinops melanostictus) in the western
North Pacific estimated via numerical particle-tracking experiments. Fisheries
Oceanography 18, 118–133. Heymans, J.J., Shannon, L.J., Jarre, A., 2004. Changes in the northern Benguela
ecosystem over three decades: 1970s, 1980s and 1990s. Ecological Modelling 172,
175–195. i Jacobson, L., De Oliveira, J., Barange, M., Cisneros-Mata, M., F´elix-Uraga, R., Hunter, J.,
Kim, J.Y., Matsuura, Y., ˜Niquen, M., Porteiro, C., Rothschild, B., Sanchez, R.P.,
Serra, R., Uriarte, A., Wada, T., 2001. Surplus production, variability, and climate
change in the great sardine and anchovy fisheries. Canadian Journal of Fisheries and
Aquatic Sciences 58, 1891–1903. Hj¨ort, J., 1914. Fluctuations in the great fisheries of northern Europe reviewed in the
light of biological research. Rapports et proc`es-verbaux des r´eunions / Conseil
permanent international pour l’exploration de la mer 20, 1–28. Holst, J.C., Dragesund, O., Hamre, J., Misund, O.A., Østvedt, O.J., 2002. Fifty years of
herring migrations in the Norwegian Sea. ICES Marine Science Symposia 215,
352–360. Jacox, M.G., Edwards, C.A., Hazen, E.L., Bograd, S.J., 2018. Coastal upwelling revisited:
Ekman, Bakun, and improved upwelling indices for the US west coast. Journal of
Geophysical Research-Oceans 123, 7332–7350. Huang, J., Sun, Y., Jia, H., Tang, Q., 2016. Last 150-year variability in Japanese anchovy
(Engraulis japonicus) abundance based on the anaerobic sediments of the Yellow Sea
Basin in the western North Pacific. Journal of Ocean University of China 15,
131–136. Progress in Oceanography 191 (2021) 102494 Canadian Journal of Fisheries and Aquatic Sciences 72,
491–499. Ingvarsd´ottir, A., Bjørkblom, C., Ravagnan, E., Godal, B.F., Arnberg, M., Joachim, D.L.,
Sanni, S., 2012. Effects of different concentrations of crude oil on first feeding larvae
of Atlantic herring (Clupea harengus). Journal of Marine Systems 93, 69–76. Hardman-Mountford, N.J., Richardson, A.J., Boyer, D.C., Kreiner, A., Boyer, H.J., 2003. Relating sardine recruitment in the Northern Benguela to satellite-derived sea
surface height using a neural network pattern recognition approach. Progress in
Oceanogaphy 59, 241–255. Islam, M., Akhtar, M., Masud, M., 2006. Distribution and diets of larval and juvenile
fishes: Influence of salinity gradient and turbidity maximum in a temperate estuary
in upper Ariake Bay, Japan. Estuarine and Coastal Shelf Science 68, 62–64. h
k
k Harma, C., Brophy, D., Minto, C., Clarke, M., 2012. The rise and fall of autumn-spawning
herring (Clupea harengus L.) in the Celtic Sea between 1959 and 2009: Temporal
trends in spawning component diversity. Fisheries Research 121–122, 31–42. Ito, S., Kishi, M.J., Kurita, Y., Oozeki, Y., Yamanaka, Y., Megrey, B.A., Werner, F.E.,
2004. Initial design for a fish bioenergetics model of Pacific saury coupled to a lower
trophic ecosystem model. Fisheries Oceanography 13 (Suppl 1), 111–124. Haslob, H., Hauss, H., Hinrichsen, H.-H., Voss, R., B¨ottcher, U., Kraus, G., 2012a. Application of the daily egg production method to Baltic sprat. Fisheries Research
127–128, 73–82. https://doi.org/10.1016/j.fishres.2012.03.008. Ito, S., Rose, K.A., Megrey, B.A., Schweigert, J., Hay, D., Werner, F.E., Aita, M.N., 2015. Geographic variation in Pacific herring growth in response to regime shifts in the
North Pacific Ocean. Progress in Oceanography 138, 331–347. i
Haslob, H., Hauss, H., Petereit, C., Clemmesen, C., Kraus, G., Peck, M.A., 2012b. Temperature effects on vital rates of different life stages and implications for
population growth of Baltic sprat. Marine Biology 159, 2621–2632. https://doi.org/
10.1007/s00227-012-1933-6. i
Ito, S., Rose, K.A., Miller, A., Drinkwater, K., Brander, K., Overland, J.E., Sundby, S.,
Curchitser, E., Hurrell, J.W., Yamanaka, Y., 2010. Ocean ecosystem responses to
future global change scenarios: a way forward. In: Barange, M., Field, J.G., Harris, R. P., Hofmann, E.E., Perry, R.I., Werner, F.E. (Eds) Marine Ecosystems and Global
Change, Vol. 10 Oxford, Oxford University Press, p 287–322. Haslob, H., Rabade-Uberos, S., Saborido-Rey, F., 2013. Seasonal variability of fecundity
and spawning dynamics of Baltic sprat. Fisheries Research 138, 99–109. Progress in Oceanography 191 (2021) 102494 Guti´errez, D., Sifeddine, A., Field, D.B., Ortlieb, L., Vargas, G., Ch´avez, F.P., Velazco, F.,
Ferreira, V., Tapia, P., Salvatteci, R., Boucher, H., Morales, M.C., Vald´es, J., Reyss, J.- Guti´errez, D., Sifeddine, A., Field, D.B., Ortlieb, L., Vargas, G., Ch´avez, F.P., Velazco, F.,
Ferreira, V., Tapia, P., Salvatteci, R., Boucher, H., Morales, M.C., Vald´es, J., Reyss, J.-
L., Campusano, A., Boussafir, M., Mandeng-Yogo, M., García, M., Baumgartner, T.,
2009. Rapid reorganization in ocean biogeochemistry off Peru towards the end of the
Little Ice Age. Biogeosciences 6, 835–848. Ibaibarriaga, L., Uriarte, A., Laconcha, U., Bernal, M., Santos, M., Chifflet, M.,
Irigoien, X., 2013. Modelling the spatio-temporal distribution of age-1 Bay of Biscay
anchovy (Engraulis encrasicolus) at spawning time. Scientia Marina 77 (3), 461–472. I hi
k
M
Ok
H
K
H
2017 Th
f J
fi h
i
l
i Ichinokawa, M., Okamura, H., Kurota, H., 2017. The status of Japanese fisheries relative
to fisheries around the world. ICES Journal of Marine Science 74, 1277–1287. d i
l
C
d
i
C
2016 S
i l
i bili
i
b
hi l b
k Gutierrez, N.L., Hilborn, R., Defeo, O., 2011. Leadership, social capital and incentives
promote successful fisheries. Nature 470, 386–389. https://doi.org/10.1038/
nature09689. Idris, I., Moloney, C.L., van der Lingen, C.D., 2016. Spatial variability in branchial basket
meristics and morphology of southern African sardine Sardinops sagax. African
Journal of Marine Science 38 (3), 351–362. Hampton, I., Sweijd, N., 2008. Achievements and lessons learned from the Benguela
Environment, Fisheries, Interaction and Training (BENEFIT) research programme. African Journal of Marine Science 30 (3), 541–564. Iglesias, J., Fuentes, L., 2014. Culture viability of Sardina pilchardus (Fish, Teleost):
Preliminary results of growth in captivity up to 18 months. Scientia Marina 78,
371–375. https://doi.org/10.3989/scimar.04034.28D. Handegard, N.O., Holmin, A.J., Rieucau, G., 2017. Method to observe large scale
behavioural waves propagating through fish schools using 4D sonar. ICES Journal of
Marine Science 74, 804–812. https://doi.org/10.1093/icesjms/fsw211. Iles, T.D., Sinclair, M., 1982. Atlantic herring: stock discreteness and abundance. Science
215, 627–633. Illing, B., Moyano, M., Niemax, J., Peck, M.A., 2015. Direct effects of microalgae and
protists on herring (Clupea harengus) yolk sac larvae. PLoS ONE 10 (6), E0129344. d´ i
j
kbl
d l
b
hi Handegard, N.O., De Robertis, A., Rieucau, G., Boswell, K., Macaulaya, G.J., 2015. The
reaction of a captive herring school to playbacks of a noise-reduced and a
conventional research vessel. Progress in Oceanography 191 (2021) 102494 The three-dimensional morphology and internal structure
of clupeid schools as observed using vertical scanning multibeam sonar. Aquatic
Living Resources 16, 113–122. https://doi.org/10.1016/S0990-7440(03)00027-5. Friedenberg, L., Bollens, S., Rollwagen-Bollens, G., 2012. Feeding dynamics of larval
Pacific herring (Clupea pallasi) on natural prey assemblages: The importance of
protists. Fisheries Oceanography 21, 95–108. https://doi.org/10.1111/j.1365-
2419.2011.00611. Giannoulaki, M., Iglesias, M., Tugores, M.P., Bonanno, A., Patti, B., De Felice, A.,
Leonori, I., Bigot, J.L., Tiˇcina, V., Pyrounaki, M.M., Tsagarakis, K., Machias, A.,
Somarakis, S., Schismenou, E., Quinci, E., Basilone, G., Cuttitta, A., Campanella, F.,
Miquel, J., O˜nate, D., Roos, D., Valavanis, V., 2013. Characterizing the potential
habitat of European anchovy Engraulis encrasicolus in the Mediterranean Sea, at
different life stages. Fisheries Oceanography 22, 69–89. Friedland, K.D., Arenholz, D.W., Smith, J.W., Manning, M., Ryan, J., 2006. Sieving
functional morphology of the gill raker feeding apparatus of Atlantic menhaden. Journal of Experimental Zoology 305A, 974–985. Godiksen, J.A., Halfredsson, E.H., Pederson, T.I., 2006. Effects of alternative prey on
predation intensity from herring Clupea harengus and sandeel Ammodytes marinus on
capelin Mallotus villosus larvae in the Barents Sea. Journal of Fish Biology 69,
1807–1823. Froehlich, H.E., Roberts, S.B., Essington, T.E., 2015. Evaluating hypoxia-inducible factor-
1α mRNA expression in a pelagic fish, Pacific herring Clupea pallasii, as a biomarker
for hypoxia exposure. Comparative Biochemistry and Physiology Part A: Molecular
& Integrative Physiology 189, 58–66. 26 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 Gonz´alez-D´avila, M., Magdalena Santana-Casiano, J.M., Ucha, I.R., 2009. Seasonal
variability of fCO2 in the Angola-Benguela region. Progress in Oceanography 83,
124–133. Huggett, J.A., Fr´eon, P., Mullon, C., Penven, P., 2003. Modelling the transport success of
anchovy Engraulis encrasicolus eggs and larvae in the southern Benguela: the effect of
spatio-temporal spawning patterns. Marine Ecology Progress Series 250, 247–262. Goubanova, K., Echevin, V., Dewitte, B., Codron, F., Takahashi, K., Terray, P., Vrac, M.,
2011. Statistical downscaling of sea-surface wind over the Peru-Chile upwelling g
gy
g
Humphrey, J., Wilberg, M.J., Houde, E.D., Fabrizio, M.C., Effects of temperature on age-
0 Atlantic menhaden growth in Chesapeake Bay. Transactions of the American
Fisheries Society 143, 1255–1265. Goubanova, K., Echevin, V., Dewitte, B., Codron, F., Takahashi, K., Terray, P., Vrac, M.,
2011. Statistical downscaling of sea-surface wind over the Peru-Chile upwelling
region: Diagnosing the impact of climate change from the IPSL-CM4 model. Climate
Dynamics 36 (7), 1365–1378. region: Diagnosing the impact of climate change from the IPSL-CM4 model. Progress in Oceanography 191 (2021) 102494 Climate
Dynamics 36 (7), 1365–1378. Hunter, J.R., Coyne, K.M., 1982. The onset of schooling in northern anchovy larvae,
Engraulis mordax. California Cooperative Oceanic Fisheries Investigations Reports
23, 246–251. Grbec, B., Dulcic, J., Morovic, M., 2002. Long-term changes in landings of small pelagic
fish in the eastern Adriatic-possible influence of climate oscillations over the
Northern Hemisphere. Climate Research 20, 241–252. ii Hunter, J.R., Goldberg, S.R., 1980. Spawning incidence and batch fecundity in northern
anchovy, Engraulis mordax. Fisheries Bulletin 77, 641–652. Griffin, F.D., 2012. Larval Pacific herring (Clupea pallasi) survival in suspended sediment. Estuaries and Coasts 35, 1229–1236. Hunter, J.R., Leong, R., 1981. The spawning energetics of female northern anchovy
Engraulis mordax. Fisheries Bulletin 79, 215–230. Gr¨ohsler, T., Oeberst, R., Schaber, M., Larson, N., Kornilovs, G., 2013. Discrimination of
western Baltic spring-spawning and central Baltic herring (Clupea harengus L.) based
on growth vs. natural tag information. ICES Journal of Marine Science 70 (6),
1108–1117. Huse, G., Fern¨o, A., Holst, J.C., 2010. Establishment of new wintering areas in herring co-
occurs with peaks in the ‘first time/repeat spawner’ ratio. Marine Ecology Progress
Series 409, 189–198. Huse, G., Utne, K.R., Fern¨o, A., 2012. Vertical distribution of herring and blue whiting in
the Norwegian Sea. Marine Biology Research 8, 488–501. Günther, C., Herrmann, J.-P., Temming, A., 2015. Laboratory calibration of optimal
growth to deduce in situ feeding conditions of early juvenile sprat Sprattus sprattus
from otoliths. Marine Ecology Progress Series 525, 199–215. Huse, G., Railsback, S., Feron¨o, A., 2002. Modelling changes in migration pattern of
herring: collective behaviour and numerical domination. Journal of Fish Biology 60,
571–582. Guisande, C., Vergara, A.R., Cabanas, J.M., Riveiro, I., 2004. Climate change and
abundance of the Atlantic-Iberian sardine (Sardina pilchardus). Fisheries
Oceanography 13 (2), 91–101. Hutchings, L., van der Lingen, C.D., Shannon, L.J., Crawford, R.J.M., Verheye, H.M.S.,
Bartholomae, C.H., van der Plas, A.K., Loue, D., Kreiner, A., Ostrowaki, M., Fidel, Q.,
Barlow, R.G., Lamont, T., Coetzee, J., Shillington, F., Veitch, J., Currie, J.C.,
Monteiro, P.M.S., 2009. The Benguela Current: An ecosystem of four components. Progress in Oceanography 83, 15–32. l g
y
Guti´errez, M., Ramirez, A., Bertrand, S., M´oron, O., Bertrand, A., 2008. Ecological niches
and areas of overlap of the squat lobster ‘munida’ (Pleuroncodes monodon) and
anchoveta (Engraulis ringens) off Peru. Progress in Oceanography 79 (2), 256–263. anchoveta (Engraulis ringens) off Peru. Progress in Oceanography 79 (2), 256–263. Progress in Oceanography 191 (2021) 102494 Marine Ecology Progress Series 217,
93–102. Lapolla, A.E., 2001b. Bay anchovy Anchoa mitchilli in Narragansett Bay, Rhode Island. II. Spawning season, hatch-date distribution and young-of-the-year growth. Marine
Ecology Progress Series 217, 103–109. Katara, I., Pierce, G.J., Illian, J., Scott, B.E., 2011. Environmental drivers of the anchovy/
sardine complex in the Eastern Mediterranean. Hydrobiologia 670, 49–65. k
i h
i
i
di
i
i
kk i hi (i Lasker, R., 1985. An egg production method for estimating spawning biomass of pelagic
fish: application to the northern anchovy, Engraulis mordax. NOAA Technical Rep. NMFS No. 36, 99 pp. Katsukawa, T., 2007. Fisheries impact on Japanese sardine. Nippon Suisan Gakkaishi (in
Japanese) 73, 763–766. il Kawasaki, T., 1983. Why do some pelagic fishes have wide fluctuations in their numbers? Biological basis of fluctuation from the viewpoint of evolutionary ecology. (GD
Sharp, J Csirke, Eds.) Proceedings of the expert consultation to examine changes in
abundance and species composition of neritic fish resources. FAO Fisheries Report
291, 1065–1080. l pp
Lathuili`ere, C., Echevin, V., L´evy, M., 2008. Seasonal and intraseasonal surface
chlorophyll-a variability along the northwest African coast. Journal of Geophysical
Researc 113, C05007. https://doi.org/10.1029/2007JC004433. Lefebvre, K.A., Elder, N.E., Hershberger, P.K., Trainer, V.L., Stehr, C.M., Scholz, N.L.,
2005. Dissolved saxitoxin causes transient inhibition of sensorimotor function in
larval Pacific herring (Clupea harengus pallasi). Marine Biology 147, 1393. https://
doi.org/10.1007/s00227-005-0048-8. Kawasaki, T., Omori, M., 1995. Possible mechanisms underlying fluctuations in the Far
Eastern sardine population inferred from time series of two biological traits. Fisheries Oceanography 4, 238–242. Legendre, P., Fortin, M., 1989. Spatial pattern and ecological analysis. Vegetatio 80,
107–138. Keefer, D.K., Moseley, M.E., 2004. Southern Peru desert shattered by the great 2001
earthquake: implications for paleoseismic and paleo-El Nino-Southern Oscillation
records. Proceedings of the National Academy of Sciences of the United States of
America 101 (30), 10878–10883. Lehmann, A., Krauss, W., Hinrichsen, H.-H., 2002. Effects of remote and local
atmospheric forcing on circulation and upwelling in the Baltic Sea. Tellus A:
Dynamic Meteorology and Oceanography 54 (3), 299–316. Kim, J.Y., Kim, S., Choi, Y.M., Lee, J.B., 2006. Evidence of density-dependent effects on
population variation of Japanese sardine (Sardinops melanosticta) off Korea. Fisheries
Oceanography 15, 345–349. i Lett, C., Roy, C., Levasseur, A., van der Lingen, C.D., Mullon, C., 2006. Simulation and
quantification of enrichment and retention processes in the southern Benguela
upwelling ecosystem. Fisheries Oceanography 15 (5), 363–372. King, D., MacLeod, P., 1976. Progress in Oceanography 191 (2021) 102494 Jech, J.M., Stroman, F., 2012. Aggregative patterns of pre-spawning Atlantic herring on
Georges Bank from 1999–2010. Aquatic Living Resources 25, 1–14. Kono, N., Tsukamoto, Y., Zenitani, H., 2003. RNA:DNA ratio for diagnosis of the
nutritional condition of Japanese anchovy Engraulis japonicus larvae during the first-
feeding stage. Fisheries Science 69, 1096–1102. Jemaa, S., Bacha, M., Khalaf, G., Dessailly, D., Rabhi, K., Amara, R., 2015. What can
otolith shape analysis tell us about population structure of the European sardine,
Sardina pilchardus, from Atlantic and Mediterranean waters? Journal of Sea Research
96, 11–17. g
g
Koslow, J.A., 1981. Feeding selectivity of schools of northern anchovy Engraulis mordax,
in the Southern California Bight. Fishery Bulletin 79, 131–142. K¨oster, F.W., Hinrichsen, H.H., Schnack, D., St. John, M.A., MacKenzie, B.R.,
Tomkiewicz, J., M¨ollmann, C., Kraus, G., Plikshs, M., Makarchouk, A., Eero, A.,
2003. Recruitment of Baltic cod and sprat stocks: Identification of critical life stages
and incorporation of environmental variability into stock-recruitment relationships. Scientia Marina 67 (1), 129–154. Johannessen, A., Skaret, G., Langård, L., Slotte, A., Husebø, Å., Fern¨o, A., 2014. The
dynamics of a metapopulation: Changes in life-history traits in resident herring that
co-Occur with oceanic herring during spawning. PLoS ONE 9 (7), e102462. https://
doi.org/10.1371/journal.pone.0102462. i John, H.C., 1986. On currents off north-west Africa as revealed by fish larvae
distributions. UNESCO Technical Paper in Marine Science 149–155. Kotliar, N., Wiens, J., 1990. Multiple scales of patchiness and patch structure: A
hierarchical framework for the study of heterogeneity. Oikos 59, 253–260. K
i
A
Y
D
S
ik E K
M
ff N E
2011 Th
l
i
f
i Kreiner, A., Yemane, D., Stenevik, E.K., Moroff, N.E., 2011. The selection of spawning
location of sardine (Sardinops sagax) in the northern Benguela after changes in stock
structure and environmental conditions. Fisheries Oceanography 20 (6), 560–569. Jones, M.C., Dye, S.R., Pinnegar, J.K., Warren, R., Cheung, W.W.L., 2015. Using
scenarios to project the changing profitability of fisheries under climate change. Fish
and Fisheries 16 (4), 603–622. Jones, M.C., Cheung, W.W.L., 2015. Multi-model ensemble projections of climate change
effects on global marine biodiversity. ICES Journal of Marine Science 72, 741–752. d
h
h i
i
i Kuwae, M., Yamamoto, M., Sagawa, T., Ikehara, K., Irino, T., Takemura, K., Takeoka, H.,
Sugimoto, T., 2017. Multidecadal, centennial, and millennial variability in sardine
and anchovy abundances in the western North Pacific and climate–fish linkages
during the late Holocene. Progress in Oceanography 191 (2021) 102494 Progress in Oceanography 159, 86–98. Joo, R., Bertrand, A., Bouchon, M., Chaigneau, A., Demarcq, H., Tam, J., Simier, M.,
Guti´errez, D., Guti´errez, M., Segura, M., Fablet, R., Bertrand, S., 2014. Ecosystem
scenarios shape fishermen spatial behavior. The case of the Peruvian anchovy fishery
in the Northern Humboldt Current System. Progress in Oceanography 128, 60–73. ii Joo, R., Bertrand, A., Bouchon, M., Chaigneau, A., Demarcq, H., Tam, J., Simier, M.,
Guti´errez, D., Guti´errez, M., Segura, M., Fablet, R., Bertrand, S., 2014. Ecosystem
scenarios shape fishermen spatial behavior. The case of the Peruvian anchovy fishery
in the Northern Humboldt Current System. Progress in Oceanography 128, 60–73. Joo, R., Salcedo, O., Gutierrez, M., Fablet, R., Bertrand, S., 2015. Defining fishing spatial
strategies from VMS data: Insights from the world’s largest monospecific fishery. Kvamme, C., Nøttestad, L., Fern¨o, A., Misund, O.A., Dommasnes, A., Axelsen, B.E.,
Dalpadado, P., Melle, W., 2003. Migration patterns in Norwegian spring-spawning
herring: why young fish swim away from the wintering area in late summer. Marine
Ecology Progress Series 247, 197–210. ii
in the Northern Humboldt Current System. Progress in Oceanography 128, 60–73. Joo, R., Salcedo, O., Gutierrez, M., Fablet, R., Bertrand, S., 2015. Defining fishing spatial Joo, R., Salcedo, O., Gutierrez, M., Fablet, R., Bertrand, S., 2015. Defining fishing spatial
strategies from VMS data: Insights from the world’s largest monospecific fishery. Fisheries Research 164, 223–230. ii
strategies from VMS data: Insights from the world’s largest monospecific fishery. Fisheries Research 164, 223–230. Laakkonen, H.M., Strelkov, P., Lajus, D.L., V¨ain¨ol¨a, R., 2015. Introgressive hybridization
between the Atlantic and Pacific herrings (Clupea harengus and C. pallasii) in the
north of Europe. Marine Biology 162, 39–54. l Jorgensen, H.B.H., Hansen, M.M., Loeschcke, V., 2005. Spring-spawning herring (Clupea
harengus L.) in the southwestern Baltic Sea: Do they form genetically distinct
spawning waves? ICES Journal of Marine Science 62, 1065–1075. Lacoste, K.N., Munro, J., Castonguay, M., Saucier, F.J., Gagn´e, J.A., 2001. The influence
of tidal streams on the pre-spawning movements of atlantic herring, Clupea harengus
L., in the St Lawrence estuary. ICES Journal of Marine Science 48, 1286–1298. Jørstad, K.E., 2004. Evidence for two highly differentiated herring groups at Goose Bank
in the Barents Sea and the genetic relationship to Pacific herring, Clupea pallasi. In:
Gharrett, A.J. (Ed.), Genetics of Subpolar Fish and Invertebrates. Developments in
Environmental Biology of Fishes, Vol 23. Springer, Dordrecht. Progress in Oceanography 191 (2021) 102494 Lamont, T., Gar´cia-Reyes, M., Bograd, S.J., van der Lingen, C.D., Sydeman, W.J., 2018. Upwelling indices for comparative ecosystem studies: Variability in the Benguela
Upwelling System. Journal of Marine Systems 188, 3–16. Jung, S., Houde, E.D., 2004. Production of bay anchovy Anchoa mitchilli in Chesapeake
Bay: Application of size-based theory. Marine Ecology Progress Series 281, 217–232. K¨ampf, J., Chapman, P., 2016. Upwelling Systems of the World. Springer International
Publishing, Cham https://doi.org/10.1007/978-3-319-42524-5. Jung, S., Houde, E.D., 2004. Production of bay anchovy Anchoa mitchilli in Chesapeake
Bay: Application of size-based theory. Marine Ecology Progress Series 281, 217–232. K¨ampf J
Chapman P
2016 Upwelling Systems of the World Springer International Landaeta, M.F., L´opez, G., Su´arez-Donoso, N., Bustos, C.A., Balbontín, F., 2012. Larval
fish distribution, growth and feeding in Patagonian fjords: potential effects of
freshwater discharge. Environmental Biology of Fishes 93, 73–87. K¨ampf, J., Chapman, P., 2016. Upwelling Systems of the World. Springer International
Publishing, Cham https://doi.org/10.1007/978-3-319-42524-5. K
i
P P
k M A 2009 C
f E
di
(S
di
il h
d
) Kanstinger, P., Peck, M.A., 2009. Co-occurrence of European sardine (Sardina pilchardus),
anchovy (Engraulis encrasicolus) and sprat (Sprattus sprattus) larvae in southern North
Sea habitats: Abundance, distribution and biochemical-based condition. Scientia
Marina 73S1, 141–152. Langård, L., Fatnes, O.A., Johannessen, A., Skaret, G., Axelsen, B.E., Nøttestad, L.,
Slotte, A., Jensen, K.H., Fern¨o, A., 2014. State-dependent spatial and intra-school
dynamics in pre-spawning herring Clupea harengus in a semi-enclosed ecosystem. Marine Ecology Progress Series 501, 251–263. Kaplan, I.C., Williams, G.D., Bond, N.A., Hermann, A.J., Siedlecki, S.A., 2016. Cloudy
with a chance of sardines: forecasting sardine distributions using regional climate
models. Fisheries Oceanography 25, 15–27. Langøy, H., Nøttestad, L., Skaret, G., Broms, C., Fernø, A., 2012. Overlap in distribution
and diets of Atlantic mackerel (Scomber scombrus), Norwegian spring-spawning
herring (Clupea harengus) and blue whiting (Micromesistius poutassou) in the
Norwegian Sea during late summer. Marine Biology Research 8, 442–460. L
ll
A E
2001
B
h
A
h
i hilli i
N
B
Rh d I l
d I Karaseva, E.M., Patokina, F.A., Kalinina, N.A., 2013. Fish eggs and larvae in the diet of
herring Clupea harengus membras Linnaeus, 1758 and the sprat Sprattus sprattus
balticus (Schneider, 1904) (Clupeidae) in the Southeastern Baltic Sea. Russian
Journal of Marine Biology 39, 350–356. https://doi.org/10.1134/
S1063074013050040. Lapolla, A.E., 2001a. Bay anchovy Anchoa mitchilli in Narragansett Bay, Rhode Island. I. Population structure, growth and mortality. Progress in Oceanography 191 (2021) 102494 Comparison of the food and filtering mechanism of the
pilchard Sardinops ocellata and anchovy Engraulis capensis off South West Africa,
1971–1972. Investigative Report of the Sea Fisheries Branch of South Africa 111,
1–29. p
g
y
g
p y
( ),
Lett, C., Veitch, J., van der Lingen, C.D., Hutchings, L., 2007. Assessment of an
l b
f
h h
l
k
f
h
h
h Lett, C., Veitch, J., van der Lingen, C.D., Hutchings, L., 2007. Assessment of an
environmental barrier to transport of ichthyoplankton from the southern to the
northern Benguela ecosystems. Marine Ecology Progress Series 347, 247–259. L
C
d
Li
C D
L
d
B R
M l
C L
2015 Bi
h
i
l
d l
f Kirkman, S.P., Blamey, L., Lamont, T., Field, J.G., Bianchi, G., Huggett, J.A.,
Hutchings, L., Jackson-Veitch, J., Jarre, A., Lett, C., Lipinski, M.R., Mafwila, S.W.,
Pfaff, M.C., Samaai, T., Shannon, L.J., Shin, Y.-J., van der Lingen, C.D., Yemane, D.,
2016. Spatial characterisation of the Benguela ecosystem for ecosystem-based
management. African Journal of Marine Science 38 (1), 7–22. Lett, C., van der Lingen, C.D., Loveday, B.R., Moloney, C.L., 2015. Biophysical models of
larval dispersal in the Benguela Current ecosystem. African Journal of Marine
Science 37 (4), 457–465. Libralato, S., Caccin, A., Pranovi, F., 2015. Modeling species invasions using thermal and
trophic niche dynamics under climate change. Frontiers in Marine Science 2, 29. https://doi.org/10.3389/fmars.2015.00029. Kishi, M.J., Kashiwai, M., Ware, D.M., Megrey, B.A., Eslinger, D.L., Werner, F.E.,
Noguchi-Aitab, M., Azumaya, T., Fujii‘, M., Hashimoto, S., Huang, D., Lizumi, H.,
Ishida, Y., Kang, S., Kantakov, G.A., Kim, H.-c., Komatsu, K., Navrotsky, V.V., Smith.,
S.L., Tadokoro, K., Tsuda, A., Yamamura, O., Yamanaka, Y., Yokouchi, K., Yoshie, N.,
Zhang, J., Zuenko, Y.I., Zvalinsky, V.I., 2007. NEMURO—a lower trophic level
model for the North Pacific marine ecosystem. Ecological Modelling 202, 12–25. Light, P.R., Able, K.W., 2003. Juvenile Atlantic menhaden (Brevoortia tyrannus) in
Delaware Bay, USA are the result of local and long-distance recruitment. Estuarine
Coastal and Shelf Science 57, 1007–1014. Lindegren, M., Checkley, D., Rouyer, T., Maccall, A., Stenseth, N.C., 2013. Climate,
fishing, and fluctuations of sardine and anchovy in the California Current. Proceedings of the National Academy of Sciences of the United States of America 110 Lindegren, M., Checkley, D., Rouyer, T., Maccall, A., Stenseth, N.C., 2013. Climate,
fishing, and fluctuations of sardine and anchovy in the California Current. Progress in Oceanography 191 (2021) 102494 i Jarre, A., Hutchings, L., Kirkman, S.P., Kreiner, A., Tchipalanga, P.C.M., Kainge, P.,
Uanivi, U., van der Plas, A.K., Blamet, L.K., Coetzee, J.C., Lamont, T., Samaai, T.,
Verheye, H.M., Yemane, D.G., Axelsen, B.E., Ostrowski, M., Stenevik, E.K.,
Loeng, H., 2015. Synthesis: climate effects on biodiversity, abundance and
distribution of marine organisms in the Benguela. Fisheries Oceanography 24 (Suppl
1), 122–149. i Huebert, K.M., Peck, M.A., 2014. A day in the life of fish larvae: Modelling foraging and
growth using Quirks. PLoS ONE 9 (6), e98205. Hufnagl, M., Peck, M.A., 2011. Physiological-based modelling of larval Atlantic herring
(Clupea harengus) foraging and growth: Insights on climate-driven life history
scheduling. ICES Journal of Marine Science 68 (6), 1170–1188. Javor, B.J., 2013. Do shifts in otolith morphology of young Pacific sardine (Sardinops
sagax) reflect changing recruitment contributions from northern and southern
stocks? California Cooperative Oceanic Fisheries Investigations Reports 54, 1–12. Hufnagl, M., Peck, M.A., Nash, R.D.M., Dickey-Collas, M., 2015. Unravelling the Gordian
knot! Key processes impacting overwintering larval survival and growth: A North
Sea herring case study. Progress in Oceanography 138, 486–503. 27 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 Progress in Oceanography 191 (2021) 102494 ll
h
f l
f
fl
d
d
h M¨ollmann, C., Kornilovs, G., Fetter, M., K¨oster, F.W., 2004. Feeding ecology of central
Baltic Sea sprat and herring. Journal of Fish Biology 65, 1563–1581. MacCall, A.D., 2009. Mechanisms of low-frequency fluctuations in sardine and anchovy
populations. In: Checkley, D.M., Alheit, J., Oozeki, Y., Roy, C. (Eds.), Climate Change
and Small Pelagic Fish Cambridge University Press pp 285 299 M¨ollmann, C., Kornilovs, G., Fetter, M., K¨oster, F.W., 2005. Climate, zooplankton, and
pelagic fish growth in the central Baltic Sea. ICES Journal of Marine Science 62 (7),
1270–1280. MacCall, A.D., 2009. Mechanisms of low-frequency fluctuations in sardine and anchovy
populations. In: Checkley, D.M., Alheit, J., Oozeki, Y., Roy, C. (Eds.), Climate Change
and Small Pelagic Fish. Cambridge University Press, pp. 285–299. populations. In: Checkley, D.M., Alheit, J., Oozeki, Y., Roy, C. (Eds.), Climate Change
and Small Pelagic Fish. Cambridge University Press, pp. 285–299. Montero-Serra, I., Edwards, M., Genner, M.J., 2015. Warming shelfs drive the sub-
tropicalization of European pelagic communities. Global Change Biology 21,
144–153. Macías, D., Garcia-Gorriz, E., Piroddi, C., Stips, A., 2014. Biogeochemical control of
marine productivity in the Mediterranean Sea during the last 50 years. Global
Biogeochem Cycles 28, 897–907. Mackenzie, B.R., Meier, H.E., Lindegren, M., Neuenfeldt, S., Eero, M., Blenckner, T.,
Tomczak, M.T., Niiranen, S., 2012. Impact of climate change on fish population
dynamics in the Baltic Sea: A dynamical downscaling investigation. Ambio 626–636. Montes, I., Zarraonaindia, M., Grant, I.W.S., Manzano, C., Cotano, U., Conklin, D.,
Irigoien, X., Estonba, A., 2016. Transcriptome analysis deciphers evolutionary
mechanisms underlying genetic differentiation between coastal and offshore
anchovy populations in the Bay of Biscay. Marine Biology 163, 205. Mackinson, S., Gu´enette, S., Pitcher, T., Misund, O.A., Fern¨o, A., 1999. Cross-scale
observations on distribution and behavioural dynamics of ocean feeding Norwegian
spring-spawning herring (Clupea harengus L.). ICES Journal of Marine Science 56 (5),
613–626. https://doi.org/10.1006/jmsc.1999.0513. Morales-Boj´orquez, E., G´omez-Mu˜noz, V.M., F´elix-Uraga, R., Alvarado-Castillo, R.M.,
2003. Relation between recruitment, sea surface temperature, and density-
independent mortality of the Pacific sardine (Sardinops caeruleus) off the southwest
coast of the Baja California Peninsula, Mexico. Scientia Marina 67, 25–32. M
l
B j´
E
N
M
ti
M
2005 S
it
tt
d Magoulas, A., Castilho, R., Caetano, S., Marcato, S., Patarnello, T., 2006. Mitochondrial
DNA reveals a mosaic pattern of phylogeographical structure in Atlantic and
Mediterranean populations of anchovy (Engraulis encrasicolus). Molecular
Phylogenetics and Evolution 39 (3), 734–746. Progress in Oceanography 191 (2021) 102494 Proceedings of the National Academy of Sciences of the United States of America 110
(33), 13672–13677. https://doi.org/10.1073/pnas.1305733110. Li
C
Pi
ddi C
M
í
D
D
J
Z li
G
2016 E
i Proceedings of the National Academy of Sciences of the United States of America 110
(33), 13672–13677. https://doi.org/10.1073/pnas.1305733110. Kone, V., Lett, C., Fr´eon, P., 2013. Modelling the effect of food availability on
recruitment success of Cape anchovy ichthyoplankton in the southern Benguela
upwelling system. African Journal of Marine Science 35 (2), 151–161. Liquete, C., Piroddi, C., Macías, D., Druon, J., Zulian, G., 2016. Ecosystem services
sustainability in the Mediterranean Sea: assessment of status and trends using
multiple modelling approaches. Scientific Reports 6, 34162. 28 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. McFarlane, G.A., Beamish, R.J., 2001. The re-occurrence of sardine off British Columbia
characterises the dynamic nature of regimes. Progress in Oceanography 49,
151–165. https://doi.org/10.1016/S0079-6611(01)00020-9. i Llanos-Rivera, A., Herrera, G., Bernal, P., 2004. Food size selectivity and diet overlap in
larvae of Clupeiform species from central Chile. Cahiers de Biologie Marine 45, 1–8. Lloret, J., 2000. Time series modelling of landings in Northwest Mediterranean Sea. ICES
Journal of Marine Science 57, 171–184. McFarlane, G.A., Smith, P.E., Baumgartner, T.R., 2002. Climate variability and Pacific
sardine populations and fisheries. American Fisheries Society Symposium 32,
195–214. i Lloret, J., Palomera, I., Salat, J., Sol´e, I., 2004. Impact of freshwater input and wind on
landings of anchovy (Engraulis encrasicolus) and sardine (Sardina pilchardus) in shelf
waters surrounding the Ebre (Ebro) River delta (north-western Mediterranean). Fisheries Oceanography 13, 102–110. McLeod, K.L., Lubchenco, J., Palumbi, S., Rosenberg, A., 2005. Scientific Consensus
Statement on Marine Ecosystem- Based Management. Retrieved from. http://co
mpassonline.org/?q=EBM. Lluch-Belda, D.R., Schwanzlose, R., Serra, R., Parrish, T., Kawasaki, D., Hedgecock, D.,
Crawford, R.J.M., 1992. Sardine and anchovy regime fluctuations of abundance in
four regions of the world oceans: A workshop report. Fisheries Oceanography 1,
339–347. i Mcpherson, A.A., O’Reilly, P.T., Taggart, C.T., 2004. Genetic differentiation, temporal
stability, and the absence of isolation by distance among Atlantic herring
populations. Transactions of the Amererican Fisheries Society 133 (2), 434–446. Logerwell, E.A., Smith, P.E., 2001. Mesoscale eddies and survival of late stage Pacific
sardine (Sardinops sagax) larvae. Fisheries Oceanography 10, 13–25. Mhlongo, N., Yemane, D., Hendricks, M., van der Lingen, C.D., 2015. Progress in Oceanography 191 (2021) 102494 Morales-Boj´orquez, E., Nevarez-Martinez, M., 2005. Spawner-recruit patterns and
investigation of Allee effect in Pacific sardine (Sardinops sagax) in the Gulf of
California, Mexico. California Cooperative Oceanic Fisheries Investigations Reports
46, 161–174. y
g
Malan, N., Durgadoo, J.V., Biastoch, A., Reason, C., Hermes, J., 2019. Multidecadal wind
variability drives temperature shifts on the Agulhas Bank. Journal of Geophysical
Research: Oceans 124, 3021–3025. https://doi.org/10.1029/2018JC014614. Moyano, M., Illing, B., Peschutter, P., Huebert, K.B., Peck, M.A., 2016. Thermal impacts
on the growth, development and ontogeny of critical swimming speed in Atlantic
herring larvae. Comparative Biochemistry and Physiology A 197, 23–34. Maneja, R.H., Frommel, A.Y., Browman, H.I., Geffen, A.J., Folkvord, A., Piatkowski, U.,
Durif, C.M.F., Bjelland, R., Skiftesvik, A.B., Clemmesen, C., 2015. The swimming
kinematics and foraging behavior of larval Atlantic herring (Clupea harengus L.) are
unaffected by elevated pCO2. Journal of Experimental Marine Biology and Ecology
466, 42–488. https://doi.org/10.1016/j.jembe.2015.02.008. i Moyano, M., Garrido, S., Teod´osio Chícharo, M., Peck, M.A., 2014. Standard metabolism
and growth dynamics of laboratory-reared larvae of Sardina pilchardus. Journal of
Fish Biology 84, 1247–1255. https://doi.org/10.1111/jfb.12337. i Müller, U.K., Videler, J.J., 1996. Inertia as a “safe harbour”: do fish larvae increase
length growth to escape viscous drag? Reviews in Fish Biology and Fisheries 6,
353–360. Mantua, N.J., Hare, S.R., 2002. The Pacific Decadal Oscillation. Journal of Oceanography
58, 35–44. Mullon, C., Cury, P., Penven, P., 2002. Evolutionary individual-based model for the
recruitment of anchovy (Engraulis capensis) in the southern Benguela. Canadian
Journal of Fisheries and Aquatic Sciences 59, 910–922. Margalef, R., 1979. The organization of space. Oikos 33 (2), 152–159. i Martín, P., Sabat´es, A., Lloret, J., Martin-Vide, J., 2011. Climate modulation of fish
populations: The role of the Western Mediterranean Oscillation (WeMO) in sardine
(Sardina pilchardus) and anchovy (Engraulis encrasicolus) production in the north-
western Mediterranean. Climate Change 110, 925–939. i Mullon, C., Fr´eon, P., Parada, C., van der Lingen, C., Huggett, J., 2003. From particles to
individuals: modelling the early stages of anchovy (Engraulis capensis/encrasicolus) in
the southern Benguela. Fisheries Oceanography 12 (4&5), 396–406. Masuda, R., 2011. Ontogeny of swimming speed, schooling behaviour and jellyfish
avoidance by Japanese anchovy Engraulis japonicus. Journal of Fish Biology 78,
1323–1335. Munk, P., Larsson, P.O., Danielssen, D.S., Moksness, E., 1999. Variability in frontal zone
formation and distribution of gadoid fish larvae at the shelf break in the
northweastern North Sea. Marine Ecology Progress Series 177, 221–233. Maynou, F., Sabat´es, A., Salat, J., 2014. Progress in Oceanography 191 (2021) 102494 Have the spawning
habitat preferences of anchovy (Engraulis encrasicolus) and sardine (Sardinops sagax)
in the southern Benguela changed in recent years? Fisheries Oceanography 24 (Suppl
1), 1–14. Lou, J., Brandt, S.B., 1993. Bay anchovy Anchoa mitchilli production and consumption in
mid-Chesapeake Bay based on a bioenergetics model and acoustic measures of fish
abundance. Marine Ecology Progress Series 98 (3), 223–236. Miller, D.C.M., Field, J.G., 2002. Predicting anchovy recruitment in the southern
Benguela ecosystem: developing an expert system using classification trees. South
African Journal of Marine Science 98, 465–472. Lovy, J., Lewis, N.L., Hershberger, P.K., Bennett, W., Meyers, T.R., Garver, K.A., 2012. Viral tropism and pathology associated with VHS in larval and juvenile Pacific
herring. Veterinary Microbiology 161, 66–76. https://doi.org/10.1016/j. vetmic.2012.07.020. Miller, D.C.M., Moloney, C.L., van der Lingen, C.D., Lett, C., Mullon, C., Field, J.G., 2006. Modelling the effects of physical-biological interactions and spatial variability in
spoawning and nursery areas on transport and retention of sardine Sardinops sagax
eggs and larvae in the southern Benguela ecosystem. Journal of Marine Systems 61,
212–229. Lozano, C., Houde, E.D., Wingate, R.L., Secor, D.H., 2012. Age, growth and hatch dates of
ingressing larvae and surviving juveniles of Atlantic menhaden Brevoortia tyrannus. Journal of Fish Biology 81, 1665–1685. Lu, J., Vecchi, G.A., Reichler, T., 2007. Expansion of the Hadley cell under global
warming. Geophysical Research Letters 34, L06805. Millot, C., Taupier-Letage, I., 2005. Circulation in the Mediterranean Sea. Springer,
Berlin; Heidelberg. Luo, L., Hartman, K.L., Brandt, S.B., Cerco, C.F., Rippetoe, T.H., 2001. A spatially-explicit
approach for estimating carrying capacity: An application for the Atlantic menhaden
(Brevoortia tyrannus) in Chesapeake Bay. Estuaries 24, 545–556. i Miyashita, K., 2018. Acoustic survey. In: Aoki, I., Yamakawa, T., Takasuka, A. (Eds.),
Fish Population Dynamics, Monitoring, and Management: Sustainable Fisheries in
the Eternal Ocean. Springer, Tokyo, pp. 139–158. Lusseau, S.M., Gallego, A., Rasmussen, J., Hatfield, E.M.C., Heath, M., 2014. North Sea
herring (Clupea harengus L.) recruitment failure may be indicative of poor feeding
success. ICES Journal of Marine Science 71 (8), 2026–2041. i Misund, O.A., Coetzee, J.C., Fr´eon, P., Gardener, M., Olsen, K., Svellingen, I.,
Hampton, I., 2003. Schooling behaviour of sardine Sardinops sagax in False Bay,
South Africa. African Journal of Marine Science 25, 185–193. Lynn, R.J., 2003. Variability in the spawning habitat of Pacific sardine (Sardinops sagax)
off southern and central California. Fisheries Oceanography 12, 541–553. Progress in Oceanography 191 (2021) 102494 The use of hepatic and somatic indices
and histological information to characterize the reproductive dynamics of Atlantic
sardine Sardina pilchardus from the Portuguese coast. Marine and Coastal Fisheries 3,
127–144. g
j
Peck, M.A., Reglero, P., Takahashi, M., Catal´an, I.A., 2013. Life cycle ecophysiology of
small pelagic fish and climate-driven changes in populations. Progress in
Oceanography 116, 220–245. Okunishi, T., Ito, S., Ambe, D., Takasuka, A., Kameda, T., Tadokoro, K., Setou, T.,
Komatsu, K., Kawabata, A., Kubota, H., Ichikawa, T., Sugisaki, H., Hashioka, T.,
Yamanaka, Y., Yoshie, N., Watanabe, T., 2012a. A modeling approach to evaluate
growth and movement for recruitment success of Japanese sardine (Sardinops
melanostictus) in the western Pacific. Fisheries Oceanography 21, 44–57. Peck, M.A., Voss, R., Dutz, J., 2012c. A lasting legacy for the Baltic and North Sea
GLOBEC Germany program. Progress in Oceanography 107, 1–2. P
J
Di k
R
H
W
Cl
C
2015 Li id
f
l
l melanostictus) in the western Pacific. Fisheries Oceanography 21, 44 57. Okunishi, T., Ito, S.-I., Hashioka, T., Sakamoto, T., Yoshie, N., Sumata, H., Yara, Y.,
Ok d
N
Y
k
Y
2012b I
f li
h
h
i
i Peters, J., Diekmann, R., Hagen, W., Clemmesen, C., 2015. Lipids as a proxy for larval
starvation and feeding condition in small pelagic fish: A field approach on match-
mismatch effects on Baltic sprat. Marine Ecology Progress Series 531, 277–292. Okunishi, T., Ito, S.-I., Hashioka, T., Sakamoto, T., Yoshie, N., Sumata, H., Yara, Y.,
Okada, N., Yamanaka, Y., 2012b. Impacts of climate change on growth, migration
and recruitment success of Japanese sardine (Sardinops melanostictus) in the western
North Pacific. Climatic Change 115, 485–503. Okada, N., Yamanaka, Y., 2012b. Impacts of climate change on growth, migration
and recruitment success of Japanese sardine (Sardinops melanostictus) in the western
North Pacific. Climatic Change 115, 485–503. Pethybridge, H., Roos, D., Loizeau, V., Pecquerie, L., Bacher, C., 2013. Responses of
European anchovy vital rates and population growth to environmental fluctuations:
An individual-based modeling approach. Ecological Modelling 250, 370–383. i
g
Olsen, J.B., Lewis, C.J., Kretschmer, J., Wilson, S.L., Seeb, J.E., 2002. Characterization of
14 tetranucleotide microsatellite loci derived from Pacific herring. Molecular
Ecology Notes 2, 101–103. ii Petitgas, P., Alheit, J., Peck, M.A., Raab, K., Irigoien, X., Huret, M., van der Kooij, J.,
Pohlmann, T., Wagner, C., Zarraonaindia, I., Dickey-Collas, M., 2012. Anchovy
population expansion in the North Sea. Progress in Oceanography 191 (2021) 102494 Distribution and transport of bay anchovy (Anchoa
mitchilli) eggs and larvae in Chesapeake Bay. Estuarine and Coastal Shelf Science 60,
409–429. Payne, M.R., Hatfield, E.M.C., Dickey-Collas, M., Falkenhaug, T., Gallego, A., Gr¨oger, J.,
Licandro, P., Llope, M., Munk, P., R¨ockmann, C., Schmidt, J.O., Nash, R.D.M., 2009. Recruitment in a changing environment: the 2000s North Sea herring recruitment
failure. ICES Journal of Marine Science 66, 272–277. Noto, M., Yasuda, I., 1999. Population decline of the Japanese sardine, Sardinops
melanostictus, in relation to sea surface temperature in the Kuroshio Extension. Canadian Journal of Fisheries and Aquatic Sciences 56, 973–983. ,
Peck, M.A., Baumann, H., Bernreuther, M., Clemmesen, C., Herrmann, J.-P., Huwer, B.,
Kanstinger P
Petereit C
Temming A
Voss R
2012a The ecophysiology of Peck, M.A., Baumann, H., Bernreuther, M., Clemmesen, C., Herrmann, J.-P., Huwer, B.,
Kanstinger, P., Petereit, C., Temming, A., Voss, R., 2012a. The ecophysiology of
Sprattus sprattus in the Baltic and North Seas. Progress in Oceanography 103, 42–57. k
l
i Norton, J.G., Mason, G.E., 2005. Relationship of California sardine (Sardinops sagax)
abundance to climate-scale ecological changes in the California Current System. Calif Coop Ocean Fish Invest Rep 46, 83–92. Peck, M.A., Baumann, H., Herrmann, J.-P., Clemmesen, C., Moyano, M., Temming, A.,
2015. Somatic-, nucleic acid-, and otolith-based indicators of growth in post-larval
sprat (Sprattus sprattus). Journal of Experimental Marine Biology and Ecology 471,
217–225. Nøttestad, L., Aksland, M., Beltestad, A., Fern¨o, A., Johannessen, A., Misund, O., 1996. Schooling dynamics of Norwegian spring spawning herring (Clupea harengus L.) in a
coastal spawning area. Sarsia 80, 277–284. Peck, M.A., Huebert, K.B., Llopiz, J.K., 2012b. Intrinsic and extrinsic factors driving
match-mismatch dynamics during the early life history of marine fishes. Advances in
Ecological Research 47, 177–302. Nøttestad, L., Fern¨o, A., Misund, O., Vabø, R., 2004. Understanding herring behaviour:
Linking individual decisions, school patterns and population distribution pp
227–262. In: Skjoldal, H. (Ed.), The Norwegian Sea Ecosystem. Tapir Academic
Press. Peck, M.A., Neuenfeldt, S., Essington, T., Trenkel, V., Takasuka, A., Gislason, H., Dickey-
Collas, M., Andersen, K.H., Ravn-Jonsen, L., Vestergaard, N., Kvamsdal, S.,
Gårdmark, A., Link, J., Rice, J.C., 2014. Forage Fish Interactions: a symposium on
“Creating the tools for ecosystem-based management of marine resources”. ICES
Journal of Marine Science 71 (1), 1–4. https://doi.org/10.1093/icesjms/fst174. Nunes, C., Silva, A., Soares, E., Ganias, K., 2011. Progress in Oceanography 191 (2021) 102494 Clues from the recent past to assess recruitment
of Mediterranean small pelagic fishes under sea warming scenarios. Climate Change
126, 175–188. Murase, H., Kawabata, A., Kubota, H., Nakagami, M., Amakasu, K., Abe, K.,
Miyashita, K., Oozeki, Y., 2012. Basin-scale distribution pattern and biomass
estimation of Japanese anchovy Engraulis japonicus in the western North Pacific. Fisheries Science 78, 761–773. https://doi.org/10.1007/s12562-012-0508-2. Maynou, F., Sabat´es, A., Ramirez-Romero, E., Catal´an, I.A., Raya, V., 2020. Future
distribution of early life stages of small pelagic fishes in the northwestern
Mediterranean. Climatic Change 161, 567–589. https://doi.org/10.1007/s10584-
020-02723-4. Nakata, H., Kimura, S., Okazaki, Y., Kasai, A., 2000. Implications of meso-scale eddies
caused by frontal disturbances of the Kuroshio Current for anchovy recruitment. ICES Journal of Marine Science 57, 143–151. McClatchie, S., 2013. Regional Fisheries Oceanography of the California Current System:
The CalCOFI program. Springer Science & Business Media, p. 235 pp.. l
hi
d
h
ll
d
f Nasuchon, N., Yagi, M., Kawabata, Y., Gao, K., Ishimatsu, A., 2016. Escape responses of
the Japanese anchovy Engraulis japonicus under elevated temperature and CO2
conditions. Fisheries Science 82, 435–444. https://doi.org/10.1007/s12562. McClatchie, S., Hendy, I.L., Thompson, A.R., Watson, W., 2017. Collapse and recovery of
forage fish populations prior to commercial exploitation. Geophysical Research
Letters 44, 1877–1885. Nev´arez-Martínez, M.O., Lluch-Belda, D., Cisneros-Mata, M.A., Pablo Santos-Molina, J.,
De los Angeles Martínez-Zavala, A., Lluch-Cota, S.E., 2001. Distribution and
abundance of the Pacific sardine (Sardinops sagax) in the Gulf of California and their
relation with the environment. Progress in Oceanography 49, 565–580. McDaniel, J., Piner, K., Lee, H.-H., Hill, K., 2016. Evidence that the migration of the
northern subpopulation of Pacific sardine (Sardinops sagax) off the west coast of the
United States is age-based. PLoS ONE 11, e0166780. relation with the environment. Progress in Oceanography 49, 565–580. Nielsen, J., Lundgren, B., Jensen, T., Staehr, K., 2001. Distribution, density and
abundance of the western Baltic herring (Clupea harengus) in the Sound (ICES 29 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. Subdivision 23) in relation to hydrographical features. Fisheries Research 50 (3),
235–258. Palomera, I., Olivar, M., Salat, J., Sabat´es, A., Coll, M., García, A., Morales-Nin, B., 2007. Small pelagic fish in the NW Mediterranean Sea: An ecological review. Progress in
Oceanography 74, 377–396. Nikolioudakis, N., Isari, S., Somarakis, S., 2014. Trophodynamics of anchovy in a non-
upwelling system: Direct comparison with sardine. Marine Ecology Progress Series
500, 215–229. Progress in Oceanography 191 (2021) 102494 Parada, C., van der Lingen, C.D., Mullon, C., Penven, P., 2003. Modelling the effect of
buoyancy on the transport of anchovy (Engraulis capensis) eggs from spawning to
nursery grounds in the southern Benguela: an IBM approach. Fisheries
Oceanography 12 (3), 170–184. Nikolioudakis, N., Isari, S., Pitta, P., Somarakis, S., 2012. Diet of sardine Sardina
pilchardus: an “end-to-end” field study. Marine Ecology Progress Series 453,
173–188. Park, Y., Seo, Y., Oh, T., Lee, K., Zhang, H., Kang, M., 2016. Anchovy distributional
properties by time and location: Using acoustic data from a primary trawl survey in
the south Sea of South Korea. Journal of Marine Science and Technology 24,
864–875. Nishikawa, H., Yasuda, I., 2008. Japanese sardine (Sardinops melanostictus) mortality in
relation to the winter mixed layer depth in the Kuroshio Extension region. Fisheries
Oceanography 17, 411–420. Passuni, G., Barbraud, C., Chaigneau, A., Demarcq, H., Ledesma, J., Bertrand, A.,
Castillo, R., Perea, A., Mori, J., Viblanc, V.A., Torres-Maita, A.J., Bertrand, S., 2016. Seasonality in marine ecosystems: Peruvian seabirds, anchovy, and oceanographic
conditions. Ecology 97, 182–193. Nishikawa, H., Yasuda, I., Itoh, S., 2011. Impact of winter-to-spring environmental
variability along the Kuroshio jet on the recruitment of Japanese sardine (Sardinops
melanostictus). Fisheries Oceanography 20, 570–582. Nishikawa, H., Yasuda, I., Komatsu, K., Sasaki, H., Sasai, Y., Setou, T., Shimizu, M., 2013. Winter mixed layer depth and spring bloom along the Kuroshio front: implications
for the Japanese sardine stock. Marine Ecology Progress Series 487, 217–229. i Paulsen, M., Clemmesen, C., Malzahn, A., 2014. Essential fatty acid (docosahexaenoic
acid, DHA) availability affects growth of larval herring in the field. Marine Biology
161 (1), 239–244. Nissling, A., Müller, A., Hinrichsen, H.-H., 2003. Specific gravity and vertical distribution
of sprat eggs in the Baltic Sea. Journal of Fish Biology 63 (2), 280–299. Paulsen, M., Clemmesen, C., Hammer, C., Polte, P., Malzahn, A.M., 2016. Food-limited
growth of larval Atlantic herring Clupea harengus recurrently observed in a coastal
nursery area. Helgoland Marine Research 70, 17. https://doi.org/10.1186/s10152-
016-0470-y. i Niu, M., Jin, X., Li, X., Wang, J., 2014. Effects of spatio-temporal and environmental
factors on distribution and abundance of wintering anchovy Engraulis japonicus in
central and southern Yellow Sea. Chinese Journal of Oceanology and Limnology 32
(3), 565–575. Pauly, D., Christensen, V., 1995. Primary production required to sustain global fisheries. Nature 374, 255–257. i ,
North, E.W., Houde, E.D., 2004. Progress in Oceanography 191 (2021) 102494 Marine Ecology Progress Series 444, 1–13. https://doi.org/10.3354/meps09451. Oozeki, Y., 2018. Biological monitoring: fish eggs, fish larvae, and zooplankton. In:
Aoki, I., Yamakawa, T., Takasuka, A. (Eds.), Fish Population Dynamics, Monitoring,
and Management: Sustainable Fisheries in the Eternal Ocean. Springer, Tokyo,
pp. 111–138. Petitgas, P., Doray, M., Huret, M., Masse, J., Woillez, M., 2014. Modelling the variability
in fish spatial distributions over time with empirical orthogonal functions: anchovy
in the Bay of Biscay. ICES Journal of Marine Science 71, 2379–2389. Oozeki, Y., Takasuka, A., Kubota, H., Barange, M., 2007. Characterizing spawning
habitats of Japanese sardine (Sardinops melanostictus), Japanese anchovy (Engraulis
japonicus), and Pacific round herring (Etrumeus teres) in the northwestern Pacific. California Cooperative Oceanic Fisheries Investigations Reports 48, 191–203. ´ Pikitch, E., Boersma, P.D., Boyd, I.L., Conover, D.O., Cury, P.M., Essingtson, T.E.,
Heppell, S.S., 2012. Little fish, big impact: managing a crucial link in ocean food
webs. Lenfest Ocean Program, Washington. ´Oskarsson, G., Gudmundsdottir, A., Sveinbj¨ornsson, S., Sigurdsson, T., 2015. Feeding
ecology of mackerel and dietary overlap with herring in Icelandic waters. Marine
Biology Research 12 (1), 1–14. ´ Plaza, G., Campana, S.E., Cerna, F., Takasuka, A., Rodríguez, C., Contreras, J.E.,
Moyano, G., Hern´andez, A., G´omez, M., 2019. Revisiting daily age determination in
juvenile anchoveta Engraulis ringens. Marine and Freshwater Research 70,
1143–1149. https://doi.org/10.1071/MF18307. Ospina-´Alvarez, A., Bernal, M., Catal´an, I., Roos, D., Bigot, J., Palomera, I., 2013. Modeling fish egg production and spatial distribution from acoustic data: A step
forward into the analysis of recruitment. PLoS One 8, e73687. https://doi.org/
10.1371/journal.pone.0073687. Politikos, D., Huret, M., Petitgas, P., 2015. A coupled movement and bioenergetics model
to explore the spawning migration of anchovy in the Bay of Biscay. Ecological
Modelling 313, 212–222. Ospina-´Alvarez, A., Catal´an, I., Bernal, M., Roos, D., Palomera, I., 2015. From egg
production to recruits: Connectivity and inter-annual variability in the recruitment
patterns of European anchovy in the northwestern Mediterranean. Progress in
Oceanography 138, 431–447. https://doi.org/10.1016/j.pocean.2015.01.011. Politikos, D., Somarakis, S., Tsiaras, K., Giannoulaki, M., Petihakis, G., Machias, A.,
Triantafyllou, G., 2014. Simulating anchovy’s full life cycle in the northern Aegean
Sea (eastern Mediterranean): A coupled hydro-biogeochemical–IBM model. Progress
in Oceanography 138, 399–416. i Overholtz, W.J., 2002. The Gulf of Maine-Georges Bank Atlantic herring (Clupea
harengus): spatial pattern analysis of the collapse and recovery of a large marine fish
complex. Fisheries Research 57, 237–254. Pribyl, A., Hyde, J., Robertson, L., Vetter, R., 2016. Progress in Oceanography 191 (2021) 102494 Salvatteci, R., Field, D., Guti´errez, D., Baumgartner, T., Ferreira, V., Ortlieb, L.,
Sifeddine, A., Grados, D., Bertrand, A., 2018. Multifarious anchovy and sardine
regimes in the Humboldt Current System during the last 150 years. Global Change
Biology 24 (3), 1055–1068. Richardson, A.J., Risien, C., Shillington, F.A., 2003. Using self-organising maps to
identify patterns in satellite imagery. Progress in Oceanography 59, 223–239. i
G
l
i
A
C
ill
C
C
i
d
d
O
2016 S h
l Salvatteci, R., Gutierrez, D., Field, D., Sifeddine, A., Ortlieb, L., Caquineau, S.,
Baumgartner, T., Ferreira, V., Bertrand, A., 2019. Fish debris in sediments from the
last 25 kyr in the Humboldt Current reveal the role of productivity and oxygen on
small pelagic fishes. Progress in Oceanography 176, 102114. https://doi.org/
10.1016/j.pocean.2019.05.006. Rieucau, G., Holmin, A.J., Castillo, J.C., Couzin, I.D., Handegard, N.O., 2016. School
level structural and dynamic adjustments to risk promote information transfer and
collective evasion in herring. Animal Behavour 117, 69–78. Rinc´on, M.M., Mumford, J.D., Polina, M., Polina, L., Ruiz, J., 2016. The economic value
of environmental data: A notional insurance scheme for the European anchovy. ICES
Journal of Marine Science 73 (4), 1033–1041. S´anchez-Velasco, L., Avalos-García, C., Rentería-Cano, M., Shirasago, B., 2004. Fish
larvae abundance and distribution in the central Gulf of California during strong
environmental changes (1997–1998 El Ni˜no and 1998–1999 La Ni˜na). Deep Sea
Research Part II: Topical Studies in Oceanography 51, 711–722. Rodríguez, J.M., Moyano, M., Hern´andez-Le´on, S., 2009. The ichthyoplankton
assemblage of the Canaries-Africa coastal transition zone: a synthesis. Progress in
Oceanography 83, 314–321. Sandweiss, D.H., Maasch, K.A., Chai, F., Andrus, C.F.T., Reitz, E.J., 2004. Geoarchaeological evidence for multidecadal natural climatic variability and ancient
Peruvian fisheries. Quaternary Research 61, 330–334. https://doi.org/10.1016/j. yqres.2004.02. Rojas de Mendiola, B., 1989. Stomach contents of anchoveta (Engraulis ringens). In:
Pauly, D., Muck, P., Mendo, J., Tsukayama, I., (eds) ICLARM Conference Proceedings
18, 97–104. Santojanni, A., Arneri, E., Bernardini, V., Cingolani, N., Marco, M.D., Russo, A., 2006. Effects of environmental variables on recruitment of anchovy in the Adriatic Sea. Climate Research 31, 181–193. Rojas-García, C.R., Applebaum, S.L., Morais, S., Rønnestad, I., 2016. Trans-intestinal
absorption rates differ between free amino acids during larval development in
Atlantic herring (Clupea harengus). Aquaculuture 464, 222–228. Santos, A., Alexander, S., Kazmin, A., Peliz, A., 2005a. Decadal changes in the Canary
upwelling system as revealed by satellite observations: Their impact on productivity. Journal of Marine Research 63, 359–379. Progress in Oceanography 191 (2021) 102494 membras): Description of types and prevalence in the northern Baltic Sea. Ambio 45,
205–214. Sabat´es, A., Olivar, M., Salat, J., Palomera, I., Alemany, F., 2007a. Physical and
biological processes controlling the distribution of fish larvae in the NW
Mediterranean. Progress in Oceanography 74, 355–376. Rajasilta, M., H¨anninen, J., Vuorinen, I., 2014. Decreasing salinity improves the feeding
conditions of the Baltic herring (Clupea harengus membras) during spring in the
Bothnian Sea, northern Baltic. ICES Journal of Marine Science 71, 1148–1152. Sabat´es, A., Salat, J., Palomera, I., Emelianov, M., Fern´andez de Puelles, M.O., 2007b. Advection of anchovy (Engraulis encrasicolus) larvae along the Catalan continental
l
(NW M dit
) Fi h
i
O
h
16 130 141 Advection of anchovy (Engraulis encrasicolus) larvae along the Catalan continental
slope (NW Mediterranean). Fisheries Oceanography 16, 130–141. Ralston, S., Field, J.C., Sakuma, K.M., 2014. Longterm variation in a central California
pelagic forage assemblage. Journal of Marine Systems 146, 26–37. https://doi.org/
10.1016/j.jmarsys.2014.06.013. slope (NW Mediterranean). Fisheries Oceanography 16, 130–141. Sætre, R., Toresen, R., Søiland, H., Fossum, P., 2002. The Norwegian spring-spawning
herring – spawning, larval drift and larval retention. Sarsia 87, 167–178. Ramírez-Romero, E., Jorda, G., Amores, A., Kay, S., Segura, M., Macias, D.M.,
Maynou, F., Sabates, A., Catal´an, I.A., 2020. Assessment of the skill of coupled
physical-biogeochemical models in the NW Mediterranean. Frontiers in Marine
Science 7, 497. https://doi.org/10.3389/fmars.2020.00497. Sakamoto, T., van der Lingen, C.D., Shirai, K., Ishimura, T., Geja, Y., Peterson, J.,
Komatsu, K., 2020. Otolith δ18O and microstructure analyses provide further
evidence of population structure in sardine Sardinops sagax around South Africa. ICES Journal of Marine Science. https://doi.org/10.1093/icesjms/fsaa130. ´ Science 7, 497. https://doi.org/10.3389/fmars.2020.00497. Reed, C., MacKenzie, K., van der Lingen, C.D., 2012. Parasites of South African sardines,
Sardinops sagax, and an assessment of their potential as biological tags. Bulletin of
the European Association of Fish Pathologists 32, 41–48. Salvatteci, R., Guti´errez, D., Field, D., Sifeddine, A., Ortlieb, L., Bouloubassi, I.,
Boussafir, M., Boucher, H., Cetin, F., 2014. The response of the Peruvian Upwelling
Ecosystem to centennial-scale global change during the last two millennia. Climate
of the Past 10, 715–731. Reum, J., Essington, T.E., Greene, C.M., Rice, C.A., Polte, P., Fresh, K.L., 2013. Biotic and
abiotic controls on body size during critical life history stages of a pelagic fish,
Pacific herring (Clupea pallasii). Fisheries Oceanography 22 (4), 324–336. https://
doi.org/10.1111/fog.12025. Progress in Oceanography 191 (2021) 102494 Rose, K.A., Fiechter, J., Curchitser, E., Hedstrom, K., Bernal, M., Creekmore, S.,
Haynie, A., Ito, S., Lluch-Cota, S., Megrey, B.A., Edwards, C.A., Checkley, D.,
Koslow, T., McClatchie, S., Werner, F.E., MacCall, A., Agostini, V., 2015. Demonstration of a fully-coupled end-to-end model for small pelagic fish using
sardine and anchovy in the California Current. Progress in Oceanography 138,
348–380. Santos, A.M.P., Peliz, A., Dubert, J., Oliveira, P.B., Angelico, M.M., R´e, P., 2005b. Impact
of a winter upwelling event on the distribution and transport of sardine eggs and
larvae off Western Iberia: a retention mechanism. Continental Shelf Research 24,
149–165. Rose, K.A., Megrey, B.A., Hay, D.E., Schweigert, J.F., 2008. Climate regime effects on
Pacific herring growth using coupled nutrient-phytoplankton-zooplankton and
bioenergetics models. Transactions of the American Fisheries Society 137, 278–297. i
l
d h
i
h Santos, A.M.P., Pedro R´e, P., dos Santos, A., Peliz, ´A., 2006. Vertical distribution of the
European sardine (Sardina pilchardus) larvae and its implications for their survival. Journal of Plankton Research 28, 523–532. Rose, K.A., Werner, F.E., Megrey, B.A., Foster, M.B., 2007. Simulated herring growth
responses in the Northeastern Pacific to historic temperature and zooplankton
conditions generated by the 3-dimensional NEMURO
nutrient–phytoplankton–zooplankton model. Ecological Modelling 202 (1),
184–195. Schismenou, E., Tsiaras, K., Kourepini, M., Lefkaditou, E., Triantafyllou, G.,
Somarakis, S., 2013. Seasonal changes in growth and condition of anchovy late
larvae explained with a hydrodynamic-biogeochemical model simulation. Marine
Ecology Progress Series 478, 197–209. Roux, J.-P., van der Lingen, C.D., Gibbons, M.J., Moroff, N.E., Shannon, L.J., Smith, A.D. M., Cury, P.M., 2013. Jellyfication of marine ecosystems as a likely consequence of
overfishing small pelagic fishes: lessons from the Benguela. Bulletin of Marince
Science 89 (1), 249–284. Schwartzlose, R.A., Alheit, J., Bakun, A., Baumgartner, T.R., Cloete, R., Crawford, R.J.M.,
Fletcher, W.J., Green-Ruiz, Y., Hagen, E., Kawasaki, T., Lluch-Belda, D., Lluch-
Cota, S.E., MacCall, A.D., Matsuura, Y., Nev´arez-Martínez, M.O., Parrish, R.H.,
Roy, C., Serra, R., Shust, K.V., Ward, M.N., Zuzunaga, J.Z., 1999. Worldwide large-
scale fluctuations of sardine and anchovy populations. South African Journal of
Marine Science 21, 289–347. i Roy, C., Weeks, S., Rouault, M., Nelson, G., Barlow, R., van der Lingen, C.D., 2001. Extreme oceanographic events recorded in the Southern Benguela during the
1999–2000 summer season. South African Journal of Marine Science 97, 465–471. scale fluctuations of sardine and anchovy populations. South African Journal of
Marine Science 21, 289–347. i Sette, O.E., 1943. Progress in Oceanography 191 (2021) 102494 Studies of the Pacific pilchard or sardine (Sardinops caerulea) I -
Structure of a research program to determine how fishing affects the resource. US
Fish and Wildlife Service Special Report 19, 1–27. Roy, C., van der Lingen, C.D., Coetzee, J.C., Lutjeharms, J.R.E., 2007. Abrupt shift
associated with changes in the distribution of Cape anchovy Engraulis encrasicolus
spawners in the southern Benguela. African Journal of Marine Science 29 (3),
309–319. Shannon, L.J., Christensen, V., Walters, C.J., 2004a. Modelling stock dynamics in the
southern Benguela ecosystem for the period 1878–2002. African Journal of Marine
Science 26, 179–196. i Ruiz, J., Garcia-Isarch, E., Huertas, I.E., Prieto, L., Juarez, A., Munoz, J.L., Sanchez-
Lamadrid, A., Rodriguez-Galvez, S., Naranjo, J.M., Baldo, F., 2006. Meteorological
forcing and ocean dynamics controlling Engraulis encrasicolus early life stages and
catches in the Gulf of C´adiz. Deep-Sea Research II 53, 1363–1376. í
´
l
l´ Shannon, L.J., Cury, P.M., 2003. Indicators quantifying small pelagic fish interactions:
application using a trophic model of the southern Benguela ecosystem. Ecological
Indicators 3, 305–321. Shannon, L.J., Field, J.G., Moloney, C.L., 2004b. Simulating anchovy-sardine regime
shifts in the southern Benguela upwelling ecosystem. Ecological modelling 172,
269–281. l Ruiz, J., Macías, D., Rinc´on, M.M., Pascual, A., Catal´an, I.A., Navarro, G., 2013. Recruiting at the edge: Kinetic energy inhibits anchovy populations in the Western
Mediterranean. PLoS One 8, e55523. https://doi.org/10.1371/journal. pone.0055523. Shannon, L.J., Moloney, C.L., Jarre, A., Field, J.G., 2003. Trophic flows in the southern
Benguela during the 1980s and 1990s. Journal of Marine Systems 39, 83–116. Rumolo, P., Bonanno, A., Barra, M., Fanelli, E., Calabr`o, M., Genovese, S., Ferreri, R.,
Mazzola, S., Basilone, G., 2016. Spatial variations in feeding habits and trophic levels
of two small pelagic fish species in the central Mediterranean Sea. Marine
Environmental Resesearch 115, 65–77. l Sharp, G.D., Csirke, J., 1983. Proceedings of the Expert Consultation to examine changes
in abundance and species of neritic fish resources. (Vol. 1) San Jos´e, Costa, Rica, 18-
29 April 1983. A preparatory meeting for the FAO World Conference on fisheries
management and development. FAO Fish Rep 291, Vol 2. Rykaczewski, R.R., Checkley, D.M., 2008. Influence of ocean winds on the pelagic
ecosystem in upwelling regions. Proceedings of the National Academy of Sciences of
the United States of America 105, 1965–1970. Shelton, A.O., Francis, T.B., Williams, G.D., Feist, B., Stick, K., Levin, P.S., 2014. Habitat
limitation and spatial variation in Pacific herring egg survival. Progress in Oceanography 191 (2021) 102494 Defining an ideal temperature range
for the northern subpopulation of Pacific sardine, Sardinops sagax caeruleus. Environmental Biology of Fishes 99, 275–291. Overholtz, W.J., Friedland, K.D., 2002. Recovery of the Gulf of Maine-Georges Bank
Atlantic herring (Clupea harengus) complex: perspectives based on bottom trawl
survey data. Fishery Bulletin 100 (3), 593–608. Raab, K.E., Nagelkerke, L.A.J., Boeree, C., Rijnsdorp, A.D., Temming, A., Dickey-
Collas, M., 2012. Dietary overlap between the potential competitors herring, sprat
and anchovy in the North Sea. Marine Ecology Progress Series 470, 101–111. l Palatella, L., Bignami, F., Falcini, F., Lacorata, G., Lanotte, A., Santoleri, R., 2014. Lagrangian simulations and interannual variability of anchovy egg and larva
dispersal in the Sicily Channel. Journal of Geophysical Research - Ocean 119,
1306–1323. Raab, K.E., Nagelkerke, L.A.J., Llope, M., Rijnsdorp, A.D., 2013. Influence of temperature
and food availability on juvenile European anchovy Engraulis encrasicolus at its
northern boundary. Marine Ecology Progress Series 488, 233–245. y
gy
g
,
Rajasilta, M., Elfving, M., H¨anninen, J., Laine, P., Vuorinen, I., Paranko, J., 2015. Morphological abnormalities in gonads of the Baltic herring (Clupea harengus Palomera, I., Rubíes, P., 1996. The European Anchovy and its Environment. Scientia
Marina 60, 299 pp. 30 Progress in Oceanography 191 (2021) 102494 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 Mean temperature of the catch increases quickly in
the Mediterranean Sea. Marine Ecology Progress Series 515, 281–284. T ikli
A C
A t
l
E
St
i
K I
2010 S
i
i d
f Tsikliras, A.C., Antonopoulou, E., Stergiou, K.I., 2010. Spawning period of
Mediterranean marine fishes. Reviews in Fish Biology and Fisheries 20, 499–538. Stratoudakis, Y., Coombs, S., Lanzos, A.L., Halliday, N., Costas, G., Caneco, B., Franco, C.,
Conway, D., Santos, M.B., Silva, A., Bernal, M., 2007. Sardine (Sardina pilchardus)
spawning seasonality in European waters of the northeast Atlantic. Marine Biology
152, 201–212. i i
Tsikliras, A.C., Dinouli, A., Tsiros, V.-Z., Tsalkou, E., 2015. The Mediterranean and Black
Sea fisheries at risk from overexploitation. PLoS ONE 10 (3), e0121188. https://doi. org/10.1371/journal.pone.0121188. Tsikliras, A.C., Licandro, P., Pardalou, A., McQuinn, I.H., Gr¨oger, J.P., Alheit, J., 2019. Synchronization of Mediterranean pelagic fish populations with the North Atlantic
climate variability. Deep Sea Res II 159, 143–151. Sturdevant, M., Brase, A., Hulbert, L., 2001. Feeding habits, prey fields, and potential
competition of young-of-the-year walleye pollock (Theragra chalcogramma) and
Pacific herring (Clupea pallasi) in Prince William Sound, Alaska, 1994–1995. Fisheries Bulletin 99, 482–501. li Tudela, S., Palomera, I., Quilez-Badia, G., 2002. Feeding of anchovy Engraulis encrasicolus
larvae in the north-west Mediterranean. Journal of the Marine Biological Association
of the UK 82, 349–350. Suda, M., Akamine, T., Kishida, T., 2005. Influence of environment factors, interspecific-
relationships and fishing mortality on the stock fluctuation of the Japanese sardine,
Sardinops melanostictus, off the Pacific coast of Japan. Fisheries Research 76,
368–378. Tugores, M.P., Giannoulaki, M., Iglesias, M., Bonanno, A., Tiˇcina, V., Leonori, J.,
Machias, A., Tsagarakis, K., Díaz, N., Gir´aldez, A., Patti, B., De Felice, A., Basilon, G.,
Valavanis, V., 2011. Habitat suitability modelling for sardine Sardina pilchardus in a
highly diverse ecosystem: the Mediterranean Sea. Marine Ecology Progress Series
443, 181–205. Sugihara, G., May, R., Ye, H., Hsieh, C., Deyle, E., Fogarty, M., Munch, S., 2012. Detecting causality in complex ecosystems. Science 338, 496–500. d
i´
d
h Swartzman, G., Bertrand, A., Guti´errez, M., Bertrand, S., Vasquez, L., 2008. The
relationship of anchovy and sardine to water masses in the Peruvian Humboldt
Current System from 1983 to 2005. Progress in Oceanography 79 (2), 228–237. Twatwa, N.M., van der Lingen, C.D., Drapeau, L., Moloney, C.M., Field, J.G., 2005. Progress in Oceanography 191 (2021) 102494 Tanaka, E., 2003. A method for estimating dynamics of carrying capacity using time
series of stock and recruitment. Fisheries Science 69, 677–686. T
k
H
Y
d
M
Ki
H
K
K
I
Y
M
M Tanaka, H., Yoneda, M., Kitano, H., Kawamura, K., Imanaga, Y., Matsuyama, M.,
Okamora, K., Ohshimo, S., 2016. Stable isotope evidence for income resource
allocation to egg production in the Japanese anchovy Engraulis japonicus. Marine
Biology 163, 1–6. Song, H., Miller, A.J., McClatchie, S., Weber, E.D., Nieto, K.M., Checkley, D.M., 2012. Application of a data-assimilation model to variability of Pacific sardine spawning
and survivor habitats with ENSO in the California Current System. Journal of
Geophysical Research 117, C03009. Teacher, A.G.F., Andr´e, C., Jonsson, P.R., Meril¨a, J., 2013. Oceanographic connectivity
and environmental correlates of genetic structuring in Atlantic herring in the Baltic
Sea. Evolutionary Applications 6 (3), 549–567. Soto, S., Parada, C., Castro, L., Colas, F., Schneide, W., 2012. Modeling transport and
survival of anchoveta eggs and yolk–sac larvae in the coastal zone off central-
southern Chile: Assessing spatial and temporal spawning parameters. Progress in
Oceanography 92, 178–191. https://doi.org/10.1016/j.pocean.2011.07.001. Temple, G.K., Cole, N.J., Johnston, I.A., 2001. Embryonic temperature and the relative
timing of muscle-specific genes during development in herring (Clupea harengus L.). Journal of Experimental Biology 204, 3629–3637. Sousa, M.C., Alvarez, I., Decastro, M., Gomez-Gesteira, M., Dias, J.M., 2017. Seasonality
of coastal upwelling trends under future warming scenarios along the southern limit
of the canary upwelling system. Progress in Oceanography 153, 16–23. i Thiaw, M., Auger, P.-A., Sow, F.N., Brochier, T., Faye, S., Diankha, O., Brehmer, P., 2017. Effect of environmental conditions on the seasonal and inter-annual variability of
small pelagic fish abundance off north-west Africa: The case of both Senegalese
Sardinella. Fisheries Oceanography 26, 583–601. y
p
g y
g
g
p y
,
Soutar, A., 1967. The accumulation of fish debris in certain California coastal sediments. California Cooperative Oceanic Fisheries Investigations Reports 13, 63–70. S
A
I
J D
1969 Hi
f fi h
l
i
i f
d f
fi h
l
i Tian, Y., Kidokoro, H., Watanabe, T., Iguchi, N., 2008. The late 1980s regime shift in the
ecosystem of Tsushima warm current in the Japan/East Sea: Evidence from historical
data and possible mechanisms. Progress in Oceanography 77, 127–145. li Soutar, A., Isaacs, J.D., 1969. History of fish populations inferred from fish scales in
aerobic sediments off California. Progress in Oceanography 191 (2021) 102494 California Cooperative Oceanic Fisheries
Investigations Reports 13, 63–70. Sswat, M., Stiasny, M.H., Taucher, J., Alguer´o-Mu˜niz, M., Lennart, T., Bach, L.T.,
Jutfelt, F., Riebesell, U., Clemmesen, C., 2018. Food web changes under ocean
acidification promote herring larvae survival. Nature Ecology and Evolution 2,
836–840. Tian, Y., Uchikawa, K., Ueda, Y., Cheng, J., 2014. Comparison of fluctuations in fish
communities and trophic structures of ecosystems from three currents around Japan:
synchronies and differences. ICES Journal of Marine Science 71, 19–34. d
k
h
ll
ll synchronies and differences. ICES Journal of Marine Science 71, 19–34. Tiedemann, M., Fock, H.O., Brehmer, P., D¨oring, J., M¨ollmann, C., 2017. Does upwelling
intensity determine larval fish habitats in upwelling ecosystems? The case of Senegal
and Mauritania. Fisheries Oceanography 26, 655–667. Stenevik, E.K., Skogen, M., Sundby, S., Boyer, D., 2003. The effect of vertical and
horizontal distribution on retention of sardine (Sardinops sagax) larvae in the
Northern Benguela – observations and modelling. Fisheries Oceanography 12 (3),
185–200. l g
p y
Tourre, Y., Lluch-Cota, S., White, W., 2007. Global multi-decadal ocean climate and
small-pelagic fish population. Environmental Research Letters 2, 034005. https://
doi.org/10.1088/1748-9326/2/3/034005. Stenevik, E.K., Sundby, S., Cloete, R., 2001. Influence of buoyancy and vertical
distribution of sardine Sardinops sagax eggs and larvae on their transport in the
northern Benguela ecosystem. South African Journal of Marine Science 23, 85–97. St
h
R L
P
M J
L ff
S W
S th
I M
2015 T
t
f l
l
t
ti Tsikliras, A.C., 2008. Climate-related geographic shift and sudden population increase of
a small pelagic fish (Sardinella aurita) in the eastern Mediterranean Sea. Marine
Biology Research 4, 477–481. Stephenson, R.L., Power, M.J., Laffan, S.W., Suthers, I.M., 2015. Tests of larval retention
in a tidally energetic environment reveal the complexity of the spatial structure in
herring populations. Fisheries Oceanography 24, 553–570. p
in a tidally energetic environment reveal the complexity of the spatial structure in
herring populations. Fisheries Oceanography 24, 553–570. Tsikliras, A.C., Koutrakis, E.T., 2013. Growth and reproduction of European sardine,
Sardina pilchardus (Pisces: Clupeidae), in northeastern Mediterranean. Cahiers de
Biologie Mar 54, 365–374. Stergiou, K., Somarakis, S., Triantafyllou, G., Tsiaras, K., Giannoulaki, M., Petihakis, G.,
Machias, A., Tsikliras, A., 2016. Trends in productivity and biomass yields in the
Mediterranean Sea Large Marine Ecosystem during climate change. Environmental
Development 17, 57–74. Tsikliras, A.C., Stergiou, K.I., 2014. Progress in Oceanography 191 (2021) 102494 Oecologia 180 (1), 111–125. Takasuka, A., 2018. Biological mechanisms underlying climate impacts on population
dynamics of small pelagic fish. Fish Population Dynamics, Monitoring, and
Management: Sustainable Fisheries in the Eternal Ocean. In Aoki IY (ed) Fisheries
Science Series, pp 19–50. Skogen, M.D., Shannon, L.J., Stiansen, J.E., 2003. Drift patterns of anchovy Engraulis
capensis larvae in the southern Benguela, and their possible importance for
recruitment. African Journal of Marine Science 25, 37–47. i Smith, P.E., Moser, H.G., 2003. Long-term trends and variability in the larvae of Pacific
sardine and associated fish species of the California Current region. Deep-Sea
Research II, 2519–2536. Takasuka, A., Oozeki, Y., Aoki, I., 2007. Optimal growth temperature hypothesis: Why do
anchovy flourish and sardine collapse or vice versa under the same ocean regime? Canadian Journal of Fisheries and Aquatic Sciences 64, 768–776. Smith, P.E., Horne, J.K., Schneider, D.C., 2001. Spatial dynamics of anchovy, sardine,
and hake pre-recruit stages in the California Current. ICES Journal of Marine Science
58, 1063–1071. Takasuka, A., Kubota, H., Oozeki, Y., 2008a. Spawning overlap of anchovy and sardine in
the western North Pacific. Marine Ecology Progress Series 366, 231–244. Snauffer, E.L., Masson, D., Allen, S.E., 2014. Modelling the dispersal of herring and hake
larvae in the Strait of Georgia for the period 2007–2009. Fisheries Oceanography 23,
375–388. i
Takasuka, A., Oozeki, A., Kimura, R., Kubota, H., Aoki, I., 2004. Growth-selective
predation hypothesis revisited forlarval anchovy in offshore waters: cannibalism by
juveniles versus predation by skipjack tunas. Marine Ecology Progress Series 278,
297–302. Somarakis, S., Nikolioudakis, N., 2010. What makes a late anchovy larva? The
development of the caudal fin seen as a milestone in fish ontogeny. Journal of
Plankton Research 32 (3), 317–326. https://doi.org/10.1093/plankt/fbp132. Takasuka, A., Oozeki, Y., Kubota, H., Lluch-Cota, S.E., 2008b. Contrasting spawning
temperature optima: Why are anchovy and sardine regime shifts synchronous across
the North Pacific? Progress in Oceanography 77, 225–232. Somarakis, S., Ganias, K., Siapatis, A., Koutsikopoulos, C., Machias, A.,
Papaconstantinou, C., 2006. Spawning habitat and daily egg production of sardine
(Sardina pilchardus) in the eastern Mediterranean. Fisheries Oceanography 15,
281–292. https://doi.org/10.1111/j.1365-2419.2005.00387.x. i
Takasuka, A., Yoneda, M., Oozeki, Y., 2019. Density dependence in total egg production
per spawner for marine fish. Fish and Fisheries 20, 125–137. https://doi.org/
10.1111/faf.12327. p
g
j
Somarakis, S., Koutsikopoulos, C., Machias, A., Tsimenides, N., 2002. Applying the daily
egg production method (DEPM) to small stocks in highly heterogeneous seas. Fisheries Research 55, 193–204. Progress in Oceanography 191 (2021) 102494 Marine Ecology
Progress Series 514, 231–245. Rykaczewski, R.R., Dunne, J., Sydeman, W., Garcia-Reyes, M., Black, B., Bograd, S.,
2015. Poleward displacement of coastal upwelling-favorable winds in the ocean’s
eastern boundary currents through the 21st century. Geophysical Research Letters
42, 6424–6431. i Silva, L., Faria, A., Chícharo, M., Garrido, S., 2014. Ontogeny of swimming behaviour in
sardine Sardina pilchardus larvae and effect of larval nutritional condition on critical
speed. Marine Ecology Progress Series 504, 287–300. https://doi.org/10.3354/
meps10758. Ryther, J., 1969. Photosynthesis and fish production in the sea. Science 166 (3901),
72–76. i Silva, F.F.G., Slotte, A., Johannessen, A., Kennedy, J., Kjesbu, O.S., 2013. Strategies for
partition between body growth and reproductive investment in migratory and
stationary populations of spring-spawning Atlantic herring (Clupea harengus L.). Fisheries Research 138, 71–79. Sabat´es, A., Martín, P., Lloret, J., Raya, V., 2006. Sea warming and fish distribution: the
case of the small pelagic fish, Sardinella aurita, in the western Mediterranean. Global
Change Biology 12, 2209–2219. 31 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 Simpson, C.A., Wilberg, M.J., Bi, H., Schueller, A.M., Nesslage, G.M., Walsh, H.J., 2016. Trends in relative abundance and early life survival of Atlantic menhaden during
1977–2013 from long-term ichthyoplankton programs. Transactions of the American
Fisheries Society 145 (5), 1139–1151. Takahashi, M., Checkley Jr., D.M., Litz, M.N.C., Brodeur, R.D., Peterson, W.T., 2012. Responses in growth rate of larval northern anchovy to anomalous upwelling in the
northern California Current. Fisheries Oceanography 21, 393–404. Simpson, C.A., Wilberg, M.J., Bi, H., Schueller, A.M., Nesslage, G.M., Walsh, H.J., 2016. Trends in relative abundance and early life survival of Atlantic menhaden during 1977–2013 from long-term ichthyoplankton programs. Transactions of the American
Fisheries Society 145 (5), 1139–1151. Takahashi, M., Watanabe, Y., 2005. Effects of temperature and food availability on
growth rate during late larval stage of Japanese anchovy (Engraulis japonicus) in the
Kuroshio-Oyashio transition region. Fisheries Oceanography 14, 223–235. Sinovcic, G., Franicevic, M., ˇCikeˇs Keˇc, V., 2004. Unusual occurrence and some aspects of
biology of juvenile gilt sardine (Sardinella aurita Valenciennes, 1847) in the Zrmanja
River estuary (eastern Adriatic). Journal of Applied Ichthyology 20, 53–57. i Takahashi, M., Watanabe, Y., Yatsu, A., Nishida, H., 2009. Contrasting responses in
larval and juvenile growth to a climate-ocean regime shift between anchovy and
sardine. Canadian Journal of Fisheries and Aquatic Sciences 66, 972–982. Siple, M., Francis, T., 2016. Population diversity in Pacific herring of the Puget Sound,
USA. Progress in Oceanography 191 (2021) 102494 Werner, F., Quinlan, J., Lough, R., Lynch, D., 2001. Spatially-explicit individual based
modeling of marine populations: a review of the advances in the 1990s. Sarsia 86,
411–421. van der Lingen, C.D., Bertrand, A., Bode, A., Brodeur, R., Cubillos, L., Espinoza, P.,
Friedland, K., Garrido, S., Irigoien, X., M¨ollmann, C., Rodriguez-Sanchez, R., Tanaka,
H., Temming, A., 2009. Trophic dynamics. In: Checkley Jr., D.M., Alheit, J., Oozeki,
Y., Roy, C. (Eds.), Climate Change and Small Pelagic Fish. Cambridge University
Press, pp. 112–157 (Chapter 7). Weston, L.F., Reed, C.C., Hendricks, M., Winker, H., van der Lingen, C.D., 2015. Stock
discrimination of South African sardine (Sardinops sagax) using a digenean parasite
biological tag. Fisheries Research 164, 120–129. i Wilson, B., Dill, L.M., 2002. Pacific herring respond to simulated odontocete
echolocation sounds. Canadian Journal of Fisheries and Aquatic Sciences 59,
542–553. van der Lingen, C.D., Coetzee, J.C., Hutchings, L.F. 2011. Causes and effects of changes
in the distribution of anchovy and sardine in shelf waters off South Africa. In:
Observations on Environmental Change in South Africa. Zietsman L. (Ed.). SUN
MeDIA, Stellenbosch, pp 252–257. ISBN 978-1-920338024-4. Wilhelm, M.R., Painting, S.J., Field, J.G., Kerstan, M., Durholtz, M.D., 2005. Impact of
environmental factors on survival of larval and juvenile Cape anchovy Engraulis
encrasicolus (G.) in the southern Benguela upwelling region determined from
hatchdate distributions: implications for recruitment. Marine and Freshwater
Research 56, 561–572. van der Lingen, C.D., Fr´eon, P., Fairweather, T.P., van der Westhuizen, J.J., 2006a. Density-dependent changes in reproductive parameters and condition of southern
Benguela sardine Sardinops sagax. African Journal of Marine Science 28 (3&4),
625–636. Wurtzell, K.V., Baukus, A., Brown, C.J., Jech, J.M., Pershing, A.J., Sherwood, G.D., 2016. Industry-based acoustic survey of Atlantic herring distribution and spawning
dynamics in coastal Maine waters. Fisheries Research 178, 71–81. van der Lingen, C.D., Huggett, J.A., 2003. In: The role of ichthyoplankton surveys in
recruitment research and management of South African anchovy and sardine. In: The
Big Fish Bang. Institute of Marine Research, Bergen, Norway, pp. 303–343. d
i
C
hi
i ld
G
2006b C
i
h d
i
f Yasuda, I., 2003. Hydrographic structure and variability in the Kuroshio-Oyashio
Transition Area. Journal of Oceanography 59, 389–402. Y
N
T k
k
A
K
i
S
2011 I t
ifi
i
f
th
d di t van der Lingen, C.D., Hutchings, L., Field, J.G., 2006b. Progress in Oceanography 191 (2021) 102494 Estimating the consumption of
Calanus finmarchicus by planktivorous fish in the Norwegian Sea using a fully
coupled 3D model system. Marine Biology Research 8, 527–547. Vi˜nas, J., Sanz, N., Pe˜narrubia, L., Araguas, R.-M., García-Marín, J.-L., Rold´an, M.-I.,
Pla, C., 2014. Genetic population structure of European anchovy in the
Mediterranean Sea and the Northeast Atlantic Ocean using sequence analysis of the
mitochondrial DNA control region. ICES Journal of Marine Science 71, 391–397. D
i
C
H
C
Zi
C
S
i
D
S
I W Mediterranean Sea and the Northeast Atlantic Ocean using sequence analysis of the
mitochondrial DNA control region. ICES Journal of Marine Science 71, 391–397. Utne, K.R., Huse, G., Ottersen, G., Holst, J.C., Zabavnikov, V., Jacobsen, J.A.,
´Oskarsson, G.J., Nøttestad, L., 2012b. Horizontal distribution and overlap of
planktivorous fish stocks in the Norwegian Sea during summers 1995–2006. Marine
Biology Research 8, 420–441. von Dorrien, C., Hammer, C., Zimmermann, C., Stepputtis, D., Stuermer, I.W.,
Kotterba, P., Polte, P., 2013. A review on herring Clupea harengus (Actinopterygii:
Clupeiformes: Clupeidae) recruitment and early life stage ecology in the western
Baltic Sea. Acta Ichthyologica et Piscatoria 43, 169–182. Utne-Palm, A.C., 2004. Effects of larvae ontogeny, turbidity, and turbulence on prey
attack rate and swimming activity of Atlantic herring larvae. Journal of
Experimental Marine Biology and Ecology 314, 147–161. Voss, R., Peck, M.A., Hinrichsen, H.-H., Clemmesen, C., Baumann, H., Stepputtis, D.,
Bernreuther, M., Schmidt, J.O., Temming, A., K¨oster, F.W., 2012. Recruitment
processes in Baltic sprat – a re-evaluation of GLOBEC-Germany hypotheses. Progress
in Oceanography 107, 61–79. i Vald´es, J., Ortlieb, L., Guti´errez, D., Marinovic, L., Vargas, G., Sifeddine, A., 2008. 250
years of sardine and anchovy scale deposition record in Mejillones Bay, northern
Chile. Progress in Oceanography 79, 198–207. Walsh, J.J., 1981. A carbon budget for overfishing off Peru. Nature 290, 300–304. Wan, R., Bian, X., 2012. Size variability and natural mortality dynamics of anchovy
Engraulis japonicus eggs under high fishing pressure. Marine Ecology Progress Series
465, 243–251. i Vald´es-Szeinfeld, E., 1991. Cannibalism and intraguild predation in clupeoids. Marine
Ecology Progress Series 79, 17–26. ´ Vald´es-Szeinfeld, E., Shelton, P., Armstrong, M., Field, J., 1987. Cannibalism in South
African anchovy egg mortality and egg consumption rates. South African Journal of
Marine Science 5, 613–622. Wang, D., Gouhier, T., Menge, B., Ganguly, A., 2015. Intensification and spatial
homogenization of coastal upwelling under climate change. Nature 518 (7539),
390–394. Valencia-Gasti, J.A., Baumgartner, T., Durazo, R., 2015. Progress in Oceanography 191 (2021) 102494 Effects of ocean climate on life
cycles and distribution of small pelagic fishes in the California Current System off
Baja California. Ciencias Marinas 41, 315–348. Warlen, S.M., Laban, E.H., Able, K.W., 2002. Recruitment of larval Atlantic menhaden
(Brevoortia tyrannus) to North Carolina and New Jersey estuaries: evidence for
larval transport northward along the east coast of the United States. Fisheries
Bulletin US 100 (3), 609–623. Van Beveren, E.V., Bonhommeau, S., Fromentin, J., Bigot, J., Bourdeix, J., Brosset, P.,
Roos, D., Saraux, C., 2014. Rapid changes in growth, condition, size and age of small
pelagic fish in the Mediterranean. Marine Biology 161, 1809–1822. Watanabe, Y., 2007. Latitudinal variation in the recruitment dynamics of small pelagic
fishes in the western North Pacific. Journal of Sea Research 58, 46–58. i i
Van Beveren, E.V., Fromentin, J., Rouyer, T., Bonhommeau, S., Brosset, P., Saraux, C.,
2016. The fisheries history of small pelagics in the Northern Mediterranean. ICES
Journal of Marine Science 73, 1474–1484. ii
Watanabe, Y., 2009. Recruitment variability of small pelagic fish populations in the
Kuroshio-Oyashio transition region of the Western North Pacific. Journal of
Northwest Atlantic Fisheries Science 41, 197–204. b
ff h
f
f h van der Lingen, C.D., 1995. Respiration rate of adult pilchard Sardinops sagax in relation
to temperature, voluntary swimming speed and feeding behavior. Marine Ecology
Progress Series 129, 41–54. Watanabe, Y., Zenitani, H., Kimura, R., 1996. Offshore expansion of spawning of the
Japanese sardine, Sardinops melanostictus, and its implication for egg and larval
survival. Canadian Journal of Fisheries and Aquatic Sciences 53, 55–61. i van der Lingen, C.D., 1998. Gastric evacuation, feeding periodicity and daily ration of
Sardine Sardinops sagax in the southern Benguela upwelling ecosystem. South
African Journal of Marine Science 19, 305–316. q
,
Weber, E.S., Chao, Y., Chai, F., McClatchie, S., 2015. Transport patterns of Pacific sardine
S
di
d l
i
h C lif
i C
S
D
S
R
h Weber, E.S., Chao, Y., Chai, F., McClatchie, S., 2015. Transport patterns of Pacific sardine
Sardinops sagax eggs and larvae in the California Current System. Deep Sea Research
Part I: Oceanographic Research Papers 100, 127–139. Sardinops sagax eggs and larvae in the California Current System. Deep Sea Research
Part I: Oceanographic Research Papers 100, 127–139. van der Lingen, C.D., 2002. Diet of sardine Sardinops sagax in the southern Benguela
upwelling ecosystem. South African Journal of Marine Science 24, 301–316. https://
doi.org/10.2989/025776102784528691. Progress in Oceanography 191 (2021) 102494 Characterising and comparing the spawning habitats of anchovy and Engraulis
encrasicolus and sardine Sardinops sagax in the southern Benguela upwelling
ecosystem. African Journal of Marine Science 27 (2), 487–499. Sydeman, W.J., Thompson, S.A., Garcia-Reyes, M., Kahru, M., Peterson, W.T., Largier, J. L., 2014. Multivariate ocean-climate indicators (MOCI) for the central California
Current: Environmental change, 1990–2010. Progress in Oceanography 120,
352–369. ecosystem. African Journal of Marine Science 27 (2), 487–499. Tzanatos, E., Raitsos, D., Triantafyllou, G., Somarakis, S., Tsonis, A., 2014. Indications of
a climate effect on Mediterranean fisheries. Climate Change 122, 41–54. 32 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 Unger, P., Klimpel, S., Lang, T., Palm, H.W., 2014. Metazoan parasites from herring
(Clupea harengus L.) as biological indicators in the Baltic Sea. Acta Parisitologica 59
(3), 518–528. Vergara-Solana, F., García-Rodríguez, F., De La Cruz-Agüero, J., 2013. Comparing body
and otolith shape for stock discrimination of Pacific sardine, Sardinops sagax Jenyns,
1842. Journal of Applied Ichthyology 29, 1241–1246. https://doi.org/10.1111/
jai.12300. Uriate, A., Ibaibarriaga, L., Pawlowski, L., Mass´e, J., Petitgas, P., Santos, M., Skagene, D.,
2016. Assessing natural mortality of Bay of Biscay anchovy from survey population
and biomass estimates. Canadian Journal of Fisheries and Aquatic Sciences 73,
216–234. j
Vikebø, F.B., Ådlandsvik, B., Albretsen, J., Sundby, S., Stenevik, E.K., Huse, G.,
Svendsen, E., Kristiansen, T., Eriksen, E., 2011. Realt-time ichthyoplankton drift in
Northeast Arctic cod and Norwegian spring-spawning herring. PLoS ONE 6 (11),
e27367. https://doi.org/10.1371/journal.pone.0027367. Å Urtizberea, A., Fiksen, Ø., 2013. Effects of prey size structure and turbulence on feeding
and growth of anchovy larvae. Environmental Biology of Fishes 96, 1045–1053. i Urtizberea, A., Fiksen, Ø., 2013. Effects of prey size structure and turbulence on feeding
and growth of anchovy larvae. Environmental Biology of Fishes 96, 1045–1053. Utne, K.R., Huse, G., 2012. Estimating the horizontal and temporal overlap of pelagic fish
distribution in the Norwegian Sea using individual-based modelling. Marine Biology
Research 8 (5), 548–567. Vikebø, F.B., Husebø, Å., Slotte, A., Stenevik, E.K., Lien, V.S., 2010. Effect of hatching
date, vertical distribution, and interannual variation in physical forcing on
northward displacement and temperature conditions of Norwegian spring-spawning
herring larvae. ICES Journal of Marine Science 67, 1948–1956. Utne, K.R., Huse, G., 2012. Estimating the horizontal and temporal overlap of pelagic fish
distribution in the Norwegian Sea using individual-based modelling. Marine Biology
Research 8 (5), 548–567. Utne, K.R., Hjøllo, S.S., Huse, G., Skogen, M., 2012a. Progress in Oceanography 191 (2021) 102494 Comparative trophodynamics of
anchovy and sardine in the southern Benguela: are species alternations between
small pelagic fish trophodynamically mediated? African Journal of Marine Science
28 (3&4), 465–477. Yasue, N., Takasuka, A., Kunio, S., 2011. Interspecific comparisons of growth and diet
among late larvae of three co-occurring clupeoid species in the Kii Channel. Japan. Marine Biology 158 (8), 1709–1720. van der Lingen, C.D., Hutchings, L., Lamont, T., Pitcher, G.C., 2016. Climate change,
dinoflagellate blooms and sardine in the southern Benguela Current Large Marine
Ecosystem. Environmental Development 17, 230–243. Yoneda, M., Kitano, H., Tanaka, H., Kawamura, K., Selvaraj, S., Ohshimo, S.,
Matsuyama, M., Shimizu, A., 2014. Temperature- and income resource availability-
mediated variation in reproductive investment in a multiple-batch-spawning
Japanese anchovy. Marine Ecology Progress Series 516, 251–262. van der Lingen, C.D., Shannon, L.J., Cury, P., Kreiner, A., Moloney, C.L., Roux, J.P., Vaz-
Velho, F., 2006c. Resource and ecosystem variability, including regime shifts, in the
Benguela Current system. In: Shannon, V., Hempel, G., Moloney, C., Woods, J.,
Malanotte-Rizzoli, P. (Eds), Benguela: Predicting a large marine ecosystem. Large
Marine Ecosystems Vol 14, 147–184. Yoneda, M., Yamamoto, M., Yamada, T., Takahashi, M., Shima, Y., 2015. Temperature-
induced variation in sexual maturation of Japanese anchovy Engraulis japonicus. Journal of the Marine Biological Association of the UK 95, 1–6. https://doi.org/
10.1017/S0025315415000405. van der Lingen, C.D., Weston, L.F., Ssempa, N.N., Reed, C.C., 2015. Incorporating
parasite data in population structure studies of South African sardine Sardinops
sagax. Parasitology 142, 156–167. Zarrad, R., Missaoui, H., 2006. Spawning areas and larval distributions of anchovy
Engraulis encrasicolus in relation to environmental conditions in the Gulf of Tunis
(Central Mediterranean Sea). Scientia Marina 70, 137–146. i van der Sleen, P., Rykaczewski, R.R., Turley, B.D., Sydeman, W.J., Garcia-Reyes, M.,
Bograd, S.J., van der Lingen, C.D., Coetzee, J.C., Lamont, T., Black, B.A., 2018. Non-
stationary responses in anchovy (Engraulis encrasicolus) recruitment to coastal
upwelling in the Southern Benguela. Marine Ecology Progress Series 596, 155–164. h
d
ff
f
f
h
l Zwolinski, J.P., Demer, D.A., 2013. Measurements of natural mortality for Pacific
sardine. ICES Journal of Marine Science 70, 1408–1415. i van der Sleen, P., Rykaczewski, R.R., Turley, B.D., Sydeman, W.J., Garcia-Reyes, M.,
Bograd, S.J., van der Lingen, C.D., Coetzee, J.C., Lamont, T., Black, B.A., 2018. Non-
stationary responses in anchovy (Engraulis encrasicolus) recruitment to coastal
upwelling in the Southern Benguela. Marine Ecology Progress Series 596, 155–164. Vecchi, G., Soden, B., 2007. Zwolinski, J.P., Emmett, R.L., Demer, D.A., 2011. Predicting habitat to optimize
sampling of Pacific sardine (Sardinops sagax). ICES Journal of Marine Science 68,
867–879. Zwolinski, J., Mason, E., Oliveira, P.B., Stratoudakis, Y., 2006. Fine-scale distribution of
sardine (Sardina pilchardus) eggs andadults during a spawning event. Journal of Sea
Research 56, 294–304. Zwolinski, J., Morais, A., Marques, V., Stratoudakis, Y., Fernandes, P.G., 2007. Diel
variation in the vertical distribution and schooling behaviour of sardine (Sardina
pilchardus) off Portugal. ICES Journal of Marine Science 64, 963–972. Zwolinski, J.P., Emmett, R.L., Demer, D.A., 2011. Predicting habitat to optimize
sampling of Pacific sardine (Sardinops sagax). ICES Journal of Marine Science 68,
867–879.
Zwolinski, J., Mason, E., Oliveira, P.B., Stratoudakis, Y., 2006. Fine-scale distribution of
sardine (Sardina pilchardus) eggs andadults during a spawning event. Journal of Sea
Research 56, 294–304. Progress in Oceanography 191 (2021) 102494 Effect of remote sea surface temperature change on tropical
cyclone potential intensity. Nature 450 (7172), 1066–1070. Zwolinski, J.P., Demer, D.A., 2014. Environmental and parental control of Pacific sardine
(Sardinops sagax) recruitment. ICES Journal of Marine Science 71, 2198–2207. Vecchi, G., Soden, B., 2007. Effect of remote sea surface temperature change on tropical
cyclone potential intensity. Nature 450 (7172), 1066–1070. 33 M.A. Peck et al. Progress in Oceanography 191 (2021) 102494 Progress in Oceanography 191 (2021) 102494 34
|
https://openalex.org/W4225311238
|
https://tc.copernicus.org/articles/16/2629/2022/tc-16-2629-2022.pdf
|
English
| null |
Reply to RCs
| null | 2,022
|
cc-by
| 9,515
|
The Cryosphere, 16, 2629–2642, 2022
https://doi.org/10.5194/tc-16-2629-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License. The Cryosphere, 16, 2629–2642, 2022
https://doi.org/10.5194/tc-16-2629-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License. Correspondence: Tom Chudley (chudley.1@osu.edu) Correspondence: Tom Chudley (chudley.1@osu.edu) Received: 6 February 2022 – Discussion started: 3 March 2022
Revised: 9 May 2022 – Accepted: 8 June 2022 – Published: 1 July 2022 Received: 6 February 2022 – Discussion started: 3 March 2022
Revised: 9 May 2022 – Accepted: 8 June 2022 – Published: 1 July 2022 Abstract. By utilising imagery from overlapping orbits, the
Sentinel-2 programme offers high-frequency observations
of high-latitude environments well in excess of its 5 d re-
peat rate, which is valuable for obtaining large-scale records
of rapid environmental change. However, the production of
glacier velocity datasets from optical feature tracking of
Sentinel-2 imagery is limited by the orthorectification error
in ESA products, which introduces significant systematic er-
rors (on the order of tens of metres) into displacement fields
produced from cross-track image pairs. As a result, most
standard processing chains ignore cross-track pairs, which
limits the opportunity to fully benefit from Sentinel-2’s high-
frequency observations during periods of intermittent cover-
age or for rapid dynamic events. Here, we use temporally
complete glacier velocity datasets to empirically reconstruct
systematic error, allowing for the corrected velocity datasets
to be produced for four key fast-flowing marine-terminating
outlets across the Greenland Ice Sheet between 2017–2021. We show that corrected data agree well with comparison
velocity datasets derived from optical (Landsat 8) and syn-
thetic aperture radar (Sentinel-1) data. The density of avail-
able velocity pairs produces a noisier dataset than for these
comparative records, but a best-fit velocity reconstructed by
time-series modelling can identify periods of rapid change
(e.g. summer slowdowns), even where gaps exist in other
datasets. We use the empirical error maps to identify that the
commercial DEM used to orthorectify Sentinel-2 scenes over
Greenland between 2017–2021 likely shares data sources
with freely available public DEMs, opening avenues for the
analytical correction of Sentinel-2 glacier velocity fields in
the future. 1
Introduction Continuous glacier velocity datasets derived from medium-
resolution satellite programmes have become increasingly
available in recent years, forming a key part of investiga-
tions into ice discharge (King et al., 2018; Gardner et al.,
2018; Mankoff et al., 2019), glacier dynamics (Poinar and
Andrews, 2021; Dehecq et al., 2019), and characterisation
of seasonal glacier behaviour (Vijay et al., 2021; Moon et
al., 2014). Globally comprehensive scene-pair velocity fields
from medium-resolution satellite data are available from
both optical feature-tracking and SAR speckle-tracking tech-
niques: e.g. for Landsat 8 optical data, the ITS_LIVE pro-
gramme (Gardner et al., 2018, 2022), and for Sentinel-1
SAR data, the MEaSUREs and PROMIICE programmes for
Greenland (Joughin, 2021a; Solgaard et al., 2021) and the
RETREAT programme for glaciers and ice caps (Friedl et
al., 2021). The Sentinel-2 mission holds further promise in
deriving glacier velocities from optical imagery compared
to Landsat 8, offering an improved repeat time of 5 d (with
both Sentinel-2A and Sentinel-2B) compared to 16 d (now
8 d from 2022 onwards with the addition of Landsat 9) and
a resolution of 10 m in the visible and near-infrared portion
of the electromagnetic spectrum compared to 30 m (15 m
panchromatic) for Landsat 8. This dense temporal coverage
increases the chances of finding cloud-free image pairs, par-
ticularly when making use of cross-track imagery at high lati-
tudes. However, as of yet, the use of Sentinel-2 velocity fields
– particularly in the form of large-scale public datasets – are
limited. A particular problem for Sentinel-2 feature tracking is the
presence of systematic orthorectification errors. These are Empirical correction of systematic orthorectification error in
Sentinel-2 velocity fields for Greenlandic outlet glaciers
Thomas R. Chudley1, Ian M. Howat1,2, Bidhyananda Yadav1, and Myoung-Jong Noh1
1Byrd Polar and Climate Research Center, Ohio State University, Columbus, OH, USA
2School of Earth Sciences, Ohio State University, Columbus, OH, USA Correspondence: Tom Chudley (chudley.1@osu.edu)
Received: 6 February 2022 – Discussion started: 3 March 2022
Revised: 9 May 2022 – Accepted: 8 June 2022 – Published: 1 July 2022 T. R. Chudley et al.: Empirical correction of systematic orthorectification error (2016) suggest that high-latitude
source datasets are shared with the Viewfinder Panoramas 3′′
DEM (de Ferranti, 2014), which uses, among other sources,
20th century topographic maps to reconstruct high-latitude
ice topography (Jonathan de Ferranti, personal communica-
tion, 2021). This decades-old source data could explain the
large vertical DEM errors (tens to hundreds of metres) com-
pared to Landsat 8, which, in Collection-2 processing, uses
more recent region-specific elevation models at high latitudes
(Franks et al., 2020), such as the ArcticDEM, Greenland Ice
Mapping Project (GrIMP) DEM, and Alaskan National Ele-
vation Dataset. As a result, orthorectification errors remain a
significant issue for producing consistent Sentinel-2 glacier
velocity fields. Kääb et al. (2016) recommend that feature
tracking using cross-track image pairs should be performed
only for ice displacements that are at least 1 order of magni-
tude larger than the expected orthorectification error, whilst
Nagy et al. (2019) recommend not using cross-track pairs at
all. This limits the benefits of Sentinel-2’s dense data cov-
erage, reducing the number of available image pairs to only p
g
g
A range of solutions have been implemented to account for
orthorectification errors in medium-resolution optical satel-
lite imagery. Rosenau et al. (2015) provide their own im-
proved orthorectification for Landsat imagery by orthorecti-
fying L1G data to the ∼1′′ ASTER Global Digital Elevation
Model (GDEM) V2, rather than the ∼30′′ Global 30 Arc
Second Elevation (GLOTOPO30) dataset that was standard
for L1C products at the time. However, the non-orthorectified
product (L1B) for Sentinel-2 is not made available, meaning
that this approach is not viable. With access to the Planet-
DEM 90, Ressl and Pfeifer (2018) were able to generate a
predicted offset field for Sentinel-2 relative orbits over Aus-
tria by using the PlanetDEM, the known orbits of Sentinel-
2, and a reference DEM (the AustriaDEM) as ground truth. Here, rays were projected from the satellite orbital path to
the reference DEM and intersected with the PlanetDEM to
derive the off-nadir offset. However, this method not only
requires access to the PlanetDEM (which is a commercial
product) but also a reference elevation model that is accu-
rate at the time of image acquisition, which is challenging
for glaciated regions where, in places, surface elevations are
changing significantly on an interannual timescale. T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2630 those with temporal baselines of 5 (10, 15, etc.) days. Being
able to remove or account for the off-nadir orthorectification
error is highly desirable to unlock the full potential of dense
Sentinel-2 temporal coverage at high latitudes. lateral off-nadir offsets in orthorectified satellite imagery re-
sulting from vertical differences between the digital elevation
model (DEM) surface used to orthorectify the imagery and
the true surface at the time of acquisition. Over solid bedrock,
these offsets occur due to DEM errors, but the issue is exac-
erbated in glacial environments, where significant (tens of
metres or more) real elevation change may occur between
the DEM and image acquisition times due to changes in ice
surface elevation (hereafter 1h) resulting from, mainly, sus-
tained flow acceleration, increased surface melt, and, subse-
quently, rapid ice thinning (e.g. King et al., 2020). When
tracking displacement between two optical scenes from the
same orbital path (in Sentinel mission terminology, the “rel-
ative orbit”), orthorectification errors will be the same across
the two images and will be eliminated in the final displace-
ment map. However, in scene pairs from different orbits, a
systematic error will be present as the vector sum of the
two orthorectification errors. Sentinel-2 is particularly vul-
nerable to orthorectification error, suffering from an order-
of-magnitude greater terrain bias than Landsat 8 (Altena and
Kääb, 2017). This is in part due to the wide viewing angle of
Sentinel-2 compared to Landsat 8: with Sentinel-2’s swath
width of 290 km, a vertical DEM error of 1h can result in a
worst-case offset of ∼1h/5.4 at the maximum off-nadir dis-
tances, whilst for Landsat 8’s swath width of 185 km this is
only ∼1h/7.8 (Kääb et al., 2016). However, in the L1C and
L2A data provided by ESA, the large errors are also related
to the DEM chosen to orthorectify Sentinel-2 imagery. Un-
til 23 August 2021 (30 March 2021 for Europe and Africa),
the commercial PlanetDEM 90 m global elevation model
(https://planetobserver.com/global-elevation-data/, last ac-
cess: 29 February 2022) was used to orthorectify Sentinel-
2 data. Little public information exists as to which data
sources were used to construct the PlanetDEM outside of
the Shuttle Radar Topography Mission (SRTM) acquisition
zone. However, Kääb et al. Published by Copernicus Publications on behalf of the European Geosciences Union. Published by Copernicus Publications on behalf of the European Geosciences Union. T. R. Chudley et al.: Empirical correction of systematic orthorectification error T. R. Chudley et al.: Empirical correction of systematic orthorectification error subsetting Sentinel-2 tiles for each glacier AOI, reproject-
ing the raster to a common WGS 84/National Snow and
Ice Data Centre (NSIDC) Sea Ice Polar Stereographic North
(EPSG:3413) projected coordinate system, mosaicking the
adjacent overlapping tiles, and finally clipping the mosaicked
raster to the glacier AOI. We only considered scenes un-
til 23 August 2021, when the L1C orthorectification pro-
cess switched to a new geolocation procedure and underlying
DEM (Sect. 4.3). dense velocity fields taking advantage of the entire Sentinel-
2 record, it would be desirable to develop a method that, like
Altena and Kääb (2017), remains simple and computation-
ally efficient and does not require any prior knowledge of 1h
but is also able to produce a geographically complete record
of velocity that is not spatially limited by the relationship be-
tween satellite geometry and flow direction. Here, we take advantage of 5 years of Sentinel-2 imagery
to generate empirical corrections for systematic orthorectifi-
cation error in ice surface velocity fields at four key marine-
terminating outlet glaciers around the Greenland Ice Sheet. We describe the process by which we produce dense and con-
tinuous velocity datasets from 2017–2021, before validating
our results by comparing them to publicly available velocity
datasets at four key outlet glaciers. Velocity fields at 100 m resolution were produced us-
ing feature tracking methods, performed using a direc-
tional weighted filtering (DWF) algorithm based on the Sur-
face Extraction from TIN-based Search-space Minimization
(SETSM) approach (Noh and Howat, 2019). The method
was originally developed for precisely estimating the sur-
face displacement map (SDM) by compensating for relative
sensor model biases (minimising co-registration errors) and
removing orthorectification errors caused by height changes
through true DEMs. For the purpose of this research, we
modified the algorithm to use orthorectified images directly,
and we applied the relative sensor model bias compensation
module as co-registrations. For co-registration, we define the
off-ice region using the GrIMP ice mask (Howat et al., 2014). The SDM processing is fully automated except in using an a
priori, or seed, velocity field to specify maximum displace-
ments for determining the initial resolution in the coarse-to-
fine processing scheme (Noh and Howat, 2019). Here, we
used InSAR-derived velocity fields between 2016 and 2017
(Joughin, 2021b) as the seed. 2.1.2
Estimating orbit-pair offsets Velocity fields are grouped by the relative orbits of their re-
spective source image pairs. Pairs of images acquired from
the same relative orbit are hereafter referred to as repeat-track
pairs, and those from different relative orbits as cross-track
pairs. For any given outlet glacier, certain combinations of
orbit pairs may have anywhere from a few to > 100 velocity
fields. A reference flow field is constructed using the median U
and V velocity values (in x and y EPSG:3413 Polar Stereo-
graphic North grid directions) from all (2017–2021) repeat-
track velocity fields. Before processing, uncorrected velocity
fields are filtered using a 3 × 3 median filter to reduce noise. For individual velocity fields, the expected displacement is
calculated from these reference flow fields and the temporal
baseline of the scene pair. The offset between the uncorrected
displacement and the expected displacement is then calcu-
lated. Empirical orbit-pair offset fields are generated as the
median offset for each orbit pair. Where these offset fields are
constructed from fewer than five velocity fields, their quality
is notably degraded. Hence, where a particular orbital pair
has fewer the five observations, an empirical offset field is
not constructed, and the velocity fields are not processed fur-
ther. 2
Methods We produce and present velocity data for four major marine-
terminating glaciers: Sermeq Kujalleq (Store Glacier), Ser-
meq Kujalleq (Jakobshavn Isbræ), Helheim Glacier, and
Kangerlussuaq Glacier (Fig. 1). As two of these glaciers
share a Greenlandic name, we hereafter refer to them by their
alternative names used in scientific literature (Store Glacier
and Jakobshavn Isbræ). As orthorectification error is a function of satellite geome-
try, it should result in a consistent offset (in units of absolute
displacement rather than velocity) across all velocity fields
generated from the same relative orbit pairs. We assume that
other errors in the velocity field (e.g. image matching error,
coregistration error) are (a) random and (b) do not correlate
with specific relative orbit pairings. Hence, by drawing from
a large base dataset, we can infer the average orthorectifica-
tion error over the study period for specific relative orbit pairs
by measuring the average offset between (i) the ice displace-
ment measured from Sentinel-2 scenes and (ii) the expected
displacement from a reference velocity field. We refer to this
difference as the orbit-pair offset field and subtract it from
measured fields to generate final corrected fields (Fig. 2). T. R. Chudley et al.: Empirical correction of systematic orthorectification error g g
g
y
Finally, recent work has begun to develop frameworks that
harmonise orbit and elevation offsets in Sentinel-2 glacier
velocity datasets that do not require any prior knowledge
of 1h (Altena and Kääb, 2017; Altena et al., 2019). How-
ever, the complexity of these methods necessitates simplified
pipelines for operational use and bulk processing (Altena and
Kääb, 2017). The simplified method presented by Altena and
Kääb (2017) takes advantage of the fact that, if glacier flow
is known a priori, it is possible to map the offset onto this
flow direction as the offset vector always occurs perpendic-
ular to the flight path (or, for dual orbits, along the epipolar
line between the two satellite locations). This is an elegant
solution that can be implemented in normal image matching
pipelines without requiring elevation data, but it comes with
two primary limitations. The first is the assumption that flow
direction is stable over time, which is justified on sub-decadal
timescales for ice streams and glaciers that are not undergo-
ing significant changes in their geometries, such as occurs
during surges. However, the second limitation of this method
is that comprehensive coverage is restricted by two criteria:
(i) when the flow direction bearing is in the same direction
as the epipolar line, the displacement will be mapped to in-
finity, and (ii) when displacement is within the measurement
error, the same effect can occur. As a result, the authors filter
velocities where the flow direction is within 20◦of the epipo-
lar line and where displacement is > 2.5 times the matching
accuracy. Hence, the final corrected velocity field is discon-
tinuous, depending on the relationship between satellite ge-
ometry and surface topography. To produce continuous and https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022 2631 The Cryosphere, 16, 2629–2642, 2022 2.1.1
Velocity field production Data are produced at four marine-terminating glaciers,
matching the spatial extent of the areas of interest (AOIs)
in the MEaSUREs Selected Glacier Site Velocity Maps from
Optical Images collection (Howat, 2020). We downloaded all
bottom-of-atmosphere corrected Level-2A (L2A) Sentinel-
2 data with a cloud cover < 50% from the Amazon Web
Services (AWS) Registry of Open Data using the sat-search
STAC API (https://github.com/sat-utils/sat-search, last ac-
cess: 29 February 2022). Sentinel-2 data are staged using a
pre-defined tiling scheme based on the Military Grid Refer-
ence System (MGRS). The pre-processing pipeline includes https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022 The Cryosphere, 16, 2629–2642, 2022 2.2.2
Gaussian process regression The output from our velocity correction process produces a
dense time series of varying error estimates. Hence, we use
Gaussian process (GP) regression (Rasmussen and Williams,
2006; Hugonnet et al., 2021) to estimate a continuous
uncertainty-bounded time-series velocity from our sampled
time-series observations. Two particular properties of GP re-
gression make it useful for the current application: (i) the
Bayesian nature of the method accommodates the incomplete
velocity record, producing a smooth, nonlinear, interpolated
output, and (ii) the probabilistic model can incorporate un-
certainty estimates and provides an empirical confidence in-
terval to predictions. 2.1.4
Error assessment A first-order estimate of error is taken as the root mean square
error (RMSE) of the absolute velocity of the bedrock area
(as defined by the GrIMP bedrock mask). RMSEs tended
to be low, with the median RMSE consistently beneath
< 0.5 m d−1 for the study glaciers discussed in this paper
(Fig. S1 in the Supplement). Additionally, the mean and stan-
dard deviation of the U and V velocity fields of the bedrock
area are also recorded, in order to assess systematic error
within individual flow fields due to poor co-registration for
example. Where the mean of the U or V velocity is greater
than 1 standard deviation away from zero, the field is consid-
ered to have a systematic error and is not included for pre-
sentation in this study (Sect. 2.2). T. R. Chudley et al.: Empirical correction of systematic orthorectification error Figure 2. Workflow for deriving corrected and filtered glacier ve-
locity fields from Sentinel-2 Level-2A data. the ice sheet boundaries. Due to changing ice boundaries at
marine-terminating locations, areas within the GrIMP ocean
mask are not filtered or removed, but ice velocities beyond
the extent of the GrIMP ice mask should not be considered
reliable. To remove erroneous velocity measurements, areas within
the GrIMP ice mask are filtered where flow directions are
> 20◦offset from the reference flow field. If, after filtering,
no data remain (< 1% of the ice area has valid velocity mea-
surements), the field is discarded and no output data are gen-
erated. 2.2.1
Sampling To present time series of glacier surface velocity, we sample
four sites of increasing distance from the calving front at each
of our sample glaciers (Fig. 1; Table S1 in the Supplement). We sample across a 1 km ×1 km area, calculating the median
velocity across this sample region. We filter out data points
where < 70% of the sample region contains data, or where
the RMSE error estimate is > 5 m d−1. We further filter fields
where the temporal baseline is only 2 d, where errors were
significantly greater than any other baselines (Fig. S3). Figure 2. Workflow for deriving corrected and filtered glacier ve-
locity fields from Sentinel-2 Level-2A data. between ∼160 and ∼400 m. Over the 4-year study period,
this results in a potential time-dependent error in 1h of be-
tween 0.3 % and 2.2 % at our study glaciers. Applying these
uncertainties to typical maximum offsets (directly correlated
with 1h) of between 40 and 60 m shows that, even using
worst-case assumptions, offset vector errors range between
±0.2 and ±1.3 m, values which are subsumed by other error
terms (e.g. miscorrelation and coregistration). 2.1.3
Velocity correction and filtering Once orbit-pair offsets have been constructed, uncorrected
velocity fields are converted to absolute displacement, cor-
rected using the appropriate orbit-pair displacement offset
field, and converted back to velocity. Displacements are cor-
rected only over ice as defined in the GrIMP mask, as our
correction scheme is designed to correct for surface eleva-
tion change, which we assume is largely negligible outside of T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2632 gure 1. Reference velocity fields (median velocity of repeat-orbit pairs; see Sect. 2.1.2) for the four marine-terminating glaciers presented
this paper, ordered anti-clockwise from north: (a) Store Glacier, (b) Jakobshavn Isbræ, (c) Helheim Glacier, and (d) Kangerlussuaq
acier. The 1 km ×1 km sample sites a–d are marked for each glacier – see Table S2 for precise coordinates. Backgrounds are GrIMP DEM
lshades (Howat et al., 2017); coordinates in NSIDC Sea Ice Polar Stereographic North (EPSG:3413). Inset: location in Greenland of all
tlet glacier AOIs (red). Figure 1. Reference velocity fields (median velocity of repeat-orbit pairs; see Sect. 2.1.2) for the four marine-terminating glaciers presented
in this paper, ordered anti-clockwise from north: (a) Store Glacier, (b) Jakobshavn Isbræ, (c) Helheim Glacier, and (d) Kangerlussuaq
Glacier. The 1 km ×1 km sample sites a–d are marked for each glacier – see Table S2 for precise coordinates. Backgrounds are GrIMP DEM
hillshades (Howat et al., 2017); coordinates in NSIDC Sea Ice Polar Stereographic North (EPSG:3413). Inset: location in Greenland of all
outlet glacier AOIs (red). We note that over the course of the study period ongoing
glacier surface elevation change will continue to change 1h,
and hence the orthorectification error will not be constant. However, our method of estimating orthorectification error
across the entire 2017–2021 study period implicitly assumes
a constant 1h. We could improve this assumption by assess-
ing offsets on shorter timescales – such as annually – but
shorter timescales (smaller sample sizes) result in a notable
reduction in the number of cross-track pairs available for cor-
rection (i.e. satisfying our threshold of five available velocity fields) and a lower quality of offset fields even for cross-track
pairs where sufficient data are available. However, given the
large initial 1h values, surface elevation change over the
study period likely has a negligible impact on the orthorec-
tification error. Using annual surface elevation change rates
between 2003–2019 from Smith et al. (2020) as approxima-
tions, maximum surface elevation change rates at our study
sites range between −0.3 (Store Glacier) and −3.6 m a−1
(Kangerlussuaq Glacier). Maximum estimated |1h| values
(Sect. 3.1), which roughly correlate with these values, range https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022 T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2633 https://doi.org/10.5194/tc-16-2629-2022 https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022 2634 T. R. Chudley et al.: Empirical correction of systematic orthorectification error T. R. Chudley et al.: Empirical correction of systematic orthorectification error Figure 3. Median offset between measured displacement and expected displacement (from reference velocity field) for different orbital pairs
at Helheim Glacier. Magnitude is shown in colour; vectors are shown as white arrows. The orbital geometry of the constituent relative orbits
is visualised in Fig. S2. Figure 3. Median offset between measured displacement and expected displacement (from reference velocity field) for different orbital pairs
at Helheim Glacier. Magnitude is shown in colour; vectors are shown as white arrows. The orbital geometry of the constituent relative orbits
is visualised in Fig. S2. Figure 4. Comparison between DEM vertical differences and velocity offset for Helheim Glacier. (a) DEM difference between the GrIMP
DEM and the Viewfinder DEM. (b) Absolute vertical difference between the Viewfinder DEM and GrIMP DEM. (c) Median offset between
the measured displacement and expected displacement for velocity fields taken from relative orbits 053 and 139 (identical to Fig. 3c). (d) Hexbin density plot comparing the absolute vertical differences between the Viewfind DEM and GrIMP DEM with the empirically
determined orbital displacement. Figure 4. Comparison between DEM vertical differences and velocity offset for Helheim Glacier. (a) DEM difference between the GrIMP
DEM and the Viewfinder DEM. (b) Absolute vertical difference between the Viewfinder DEM and GrIMP DEM. (c) Median offset between
the measured displacement and expected displacement for velocity fields taken from relative orbits 053 and 139 (identical to Fig. 3c). (d) Hexbin density plot comparing the absolute vertical differences between the Viewfind DEM and GrIMP DEM with the empirically
determined orbital displacement. https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022 T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2635 Figure 5. Velocity difference maps at Jakobshavn over a period of summer slowdown in 2019 (see Figs. 6 and 7). (a) Velocity field pre-
slowdown, from uncorrected Sentinel-2 feature tracking. (b) Velocity field post-slowdown, from uncorrected Sentinel-2 feature tracking. (c) Difference between pre- and post-slowdown from uncorrected Sentinel-2 feature tracking. (d–f) Same as (a–c), but for corrected Sentinel-
2 feature tracking. (g–i) Same as (a–c), but for contemporaneous Sentinel-1 speckle tracking. Note log scale used on difference maps. Backgrounds are GrIMP DEM hillshades (Howat et al., 2017). Figure 5. https://doi.org/10.5194/tc-16-2629-2022 Velocity difference maps at Jakobshavn over a period of summer slowdown in 2019 (see Figs. 6 and 7). (a) Velocity field pre-
slowdown, from uncorrected Sentinel-2 feature tracking. (b) Velocity field post-slowdown, from uncorrected Sentinel-2 feature tracking. (c) Difference between pre- and post-slowdown from uncorrected Sentinel-2 feature tracking. (d–f) Same as (a–c), but for corrected Sentinel-
2 feature tracking. (g–i) Same as (a–c), but for contemporaneous Sentinel-1 speckle tracking. Note log scale used on difference maps. Backgrounds are GrIMP DEM hillshades (Howat et al., 2017). We performed GP regression using the GaussianProcess-
Regressor() implementation in the Python scikit-learn li-
brary. We model ice velocity as the sum of two ker-
nels (covariance functions) representing seasonal and short-
term variability. Our implementation follows Rasmussen and
Williams (2006), ignoring long-term variability over the 5-
year period we assess. Seasonal variability is incorporated
as the product of an exponential sine squared kernel (ExpSi-
neSquared()) and a radial basis function kernel (RBF()). The
exponential sine squared kernel has a fixed periodicity of 1
year and the length scale as a free parameter. The radial basis
function kernel has a free length scale. We implement short-
medium term variability as a rational quadratic kernel (Ratio-
nalQuadratic()), with free length scale and alpha (controlling
the diffusivity of the length scale) parameters. Finally, we
incorporate velocity error estimates (Sect. 2.1.3) into mod-
elling directly via the alpha parameter of the GaussianPro-
cessRegressor(). DEM from GeoEye and WorldView Imagery (Version 1)
(Howat et al., 2014, 2017; hereafter the “GrIMP DEM”),
which was produced from imagery between 2009–2015. We compare our generated velocity fields to two other
public datasets. To compare with medium-resolution SAR
velocity fields, we make use of MEaSUREs Greenland 6 and
12 d Ice Sheet Velocity Mosaics from SAR (Version 1) ve-
locity fields from speckle-tracked Sentinel-1 data (Joughin
et al., 2018; Joughin, 2021a). These were downloaded from
the NSIDC data portal. To compare with optical velocity
fields derived from Landsat 8 imagery, we make use of the
ITS_LIVE dataset (Gardner et al., 2018, 2021). These were
downloaded using the ITS_LIVE API, and, to match our
Sentinel-2 data thresholds, filtered to velocity fields where
(i) the maximum interval between data pairs was 30 d and
(ii) at least 1 % of the data contained valid pixels. For both
Sentinel-1 and Landsat 8 fields, we extracted time-series data
in the same way as for Sentinel-2 data: i.e. 2.3
Supplementary data As orthorectification errors scale with 1h, we compare gen-
erated offset maps to DEM difference as a proxy for 1h. The
first DEM is the Viewfinder Panoramas 3′′ DEM for Green-
land (Version 1) (de Ferranti, 2014; hereafter the “Viewfinder
DEM”). Kääb et al. (2016) inferred that the Viewfinder
DEMs likely shared source data with the PlanetDEM for a
test site in northern Norway. The second DEM is the GrIMP https://doi.org/10.5194/tc-16-2629-2022 filtering to data
that cover at least 70 % of the 1 km ×1 km sample region and
< 5 m d−1 error. The Cryosphere, 16, 2629–2642, 2022 T. R. Chudley et al.: Empirical correction of systematic orthorectification error The lowest level of agreement between the
two datasets occurs at Helheim Glacier point b, where only
52.3 % of Sentinel-1 velocity values lie within error of the
Sentinel-2 GP fit, and the Sentinel-1 record is, on average,
0.47 m d−1 slower than that of the GP fit. If the measured offsets are due to orthorectification error,
they should directly correlate to the 1h between the times
of DEM and image acquisition. We can thus validate that
our offsets are meaningful by comparing them to the DEM
difference between the Viewfinder DEM, which we use as
a proxy for the PlanetDEM (Sect. 2.3), and version 2 of
the GrIMP DEM, which acts as our reference elevation, or
at least a closer approximation to the surface elevation at
the time of image acquisition (Fig. 4). The spatial pattern
of |1h| (Fig. 4b) matches the magnitude of the orbital off-
set (Fig. 4c), with a strong, positive correlation (R2 = 0.67,
p < 0.01) between the two variables (Fig. 4d). The direction
of the offset (white vectors in Fig. 4c) is also predicted by the
direction of 1h (Fig. 4a): where 1h values are negative, off-
set error occurs in the ESE direction (towards relative orbit
053), whereas positive 1h values occur where offset errors
are in the WNW direction (towards relative orbit 139). This high level of agreement also occurs in comparison
with the ITS_LIVE dataset derived from optical Landsat 8
imagery (orange triangles in Fig. 7). Across all sites, the
median difference between the ITS_LIVE record and the
GP fit is 0.12 m d−1, 68 % (95 %) of values lie within 0.29
(0.63) m d−1 of one another, and 87.0 % of values lie within
error of each other (Table S3). The increased density of the
Sentinel-2 record relative to the Landsat 8 record allows
for a higher temporal precision in identifying rapid drainage
events. For instance, the summer slowdown at sites a and b
at Store Glacier are not as not well captured in the Land-
sat 8 or Sentinel-1 records, where a sparse record means that
the timing of the slowdown often appears to take more than
a month, whilst the dense Sentinel-2 dataset and the GP fit
show the slowdown to occur on a timescale of ∼2 weeks
(Fig. S5). T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2636 land. Comparing offset fields constructed for various orbit
pairs at Helheim Glacier (Fig. 3) shows that the behaviour
of empirical offset fields are consistent with theory. Offset
fields for repeat orbit pairs (Fig. 3a, e, i) have negligible off-
set, whilst the offset is largest for the cross-track pairs from
relative orbits 053 and 139 (Fig. 3c, g), which have the great-
est distance between their respective orbital paths (Fig. S2). Empirical offset vectors are, to within reasonable error, uni-
formly parallel and occur along the epipolar line of the satel-
lite pair viewing geometry (Figs. 3, cf. S2), consistent with
the hypothesis that these systematic errors occur due to or-
thorectification error in the off-nadir direction. short-baseline pairs are increasingly offset from the reference
dataset value, even where orbit pairs are identical (Fig. S4). This is because orthorectification error is an absolute dis-
placement offset and as such becomes a higher relative er-
ror component of short-baseline velocities. In all cases, the
corrected velocity data converge near the reference Sentinel-
1 time series. The correction is greatest for observations at
Jakobshavn Isbræ and Kangerlussuaq Glacier, where 1h val-
ues are the largest. short-baseline pairs are increasingly offset from the reference
dataset value, even where orbit pairs are identical (Fig. S4). This is because orthorectification error is an absolute dis-
placement offset and as such becomes a higher relative er-
ror component of short-baseline velocities. In all cases, the
corrected velocity data converge near the reference Sentinel-
1 time series. The correction is greatest for observations at
Jakobshavn Isbræ and Kangerlussuaq Glacier, where 1h val-
ues are the largest. The high density of data points reveals a noisy dataset
compared to the SAR-derived data. The use of GP regres-
sion highlights an effective way of interpolating a continuous
time series from this dataset (blue line in Fig. 7), whilst ac-
counting for sample-specific error values and time-variable
data densities. Across all sites, the median difference be-
tween the Sentinel-1 record and the GP fit is 0.08 m d−1,
68 % (95 %) of values lie within 0.41 (0.73) m d−1 of one
another, and 90.5 % of Sentinel-1 values lie within the er-
ror of the Sentinel-2 GP fit (Table S2). These differences,
on the order of decimetres, align with our error estimates
from off-ice displacement of between 0.3 and 0.5 m d−1 on
average (Fig. S1). T. R. Chudley et al.: Empirical correction of systematic orthorectification error However, the Landsat 8 record displays a higher
precision at lower velocity values (sub-4 m d−1, e.g. site d at
Store Glacier), likely because any errors in the empirically
derived displacement field have greater relative influence at
low flow velocities. The efficacy of the orbital correction fields is visualised for
an example case at Jakobshavn Isbræ (Fig. 5), which shows
the relative ability of corrected and uncorrected glacier ve-
locity fields to properly capture the magnitude and extent of
a summer slowdown occurring in late July 2019 (see also
Figs. 6 and 7 for time series of this event). In the uncor-
rected velocity fields (Fig. 5a and b), orthorectification er-
ror in the cross-track velocity fields (relative orbits 025/111
and 068/025 respectively) introduces an apparent difference
in the final velocity field in excess of 10 m d−1 at the calving
front and 2 m d−1 even tens of kilometres inland, a rate of
change that is unphysical. After correction (Fig. 5d and e),
this change is reduced to ∼2–3 m d−1 at the front and negli-
gible amounts inland (Fig. 5f), an observation that is in line
with contemporaneous Sentinel-1 observations (Fig. 5g–i). 3.2
Ice velocity time series For the sampled 1 km ×1 km sectors of our four study
glaciers, we compare our corrected Sentinel-2 data against
other data sources. Comparing our corrected velocity data
to the uncorrected dataset shows the improvement that our
empirical correction has (Fig. 6). Uncorrected data show a
characteristic error distribution, with points offset from the
Sentinel-1 -derived velocities based on their constituent or-
bit pairs and their temporal baseline. Prior to correction, 3.1
Orbital offset generation Empirically determined systematic offsets can reach values
on the order of tens of metres at outlet glaciers around Green- https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022 The Cryosphere, 16, 2629–2642, 2022 Figure 6. Figure 6. (Figs. 5, 6). As orthorectification error is linearly propor-
tional to 1h between the orthorectification DEM and the
true glacier surface (Fig. 4), errors are greatest at glaciers
where ice surface elevation has changed the most. This is
exemplified by Store Glacier, which is notable for its long-
term stability induced by a sill at the glacier terminus (e.g. Morlighem et al., 2016) and has relatively low orthorectifi-
cation errors prior to correction (Fig. 6). here differ from Sentinel-1 observations by, on average, only
0.08 m d−1, and 90.5 % of Sentinel-1 values lie within the
GP fit error (Rable S2). Unlike monthly averaging, the use
of GP regression retains the ability to capture short-term
variation at approximately weekly timescales and provides
a time-varying confidence interval based on training data un-
certainty and coverage. The data display high agreement with comparative
datasets sourced from Sentinel-1 and Landsat 8 (Fig. 7). Al-
though Sentinel-1 has been presented as a “true” reference
velocity in this study, it is of note which two will vary when
only two of the three records presented agree with each other:
contrast, for instance, Helheim site b (Sentinel-2 and Landsat
8 agree), Jakobshavn site a (Sentinel-2 and Sentinel-1 agree),
and Kangerlussuaq site a (Sentinel-1 and Landsat 8 agree). All three methods are orthorectified using different DEMs
whose ages, accuracies, and resultant 1h values are vari-
able. As such, it is likely that systematic biases are present
in all three datasets and are spatially variable on a kilo-
metre scale. However, the characteristics of the cross-track
Sentinel-2 dataset will make it advantageous over Landsat 8-
derived datasets in scenarios where a high density of obser-
vations is required, as the increased observation frequency
will allow for a greater chance of successful image pairs over
critical dynamic periods, such as the early melt season ac-
celeration and late summer slowdown. In contrast, individ- The empirical corrections described in this paper demon-
strably reduce the influence of systematic orthorectification
error on Sentinel-2-derived glacier velocity fields, reducing
the variance from the order of metres to decimetres (Figs. 6,
7). This allows for the incorporation of cross-track pairs
into the glacier velocity time series, increasing the tempo-
ral density of observations, in particular for pairs with short
(< 10 d) baselines, by as much as a factor of 7 (Fig. S4b). 4.1
Data quality In the absence of empirical correction, orthorectification
errors can result in errors in excess of 10 m d−1 in
short-baseline velocity fields at Greenlandic outlet glaciers https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022 T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2637 T. R. Chudley et al.: Empirical correction of systematic orthorectification error
Figure 6. T. R. Chudley et al.: Empirical correction of systematic orthorectification error T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2638 Figure 6. Corrected (blue) and uncorrected (red) velocity time series for four sample glaciers in 2019. Top to bottom are points (a–d) in
Fig. 1. The black line and diamonds mark the MEaSUREs Sentinel-1 velocity dataset for comparison. Figure 6. Corrected (blue) and uncorrected (red) velocity time series for four sample glaciers in 2019. Top to bottom are points (a–d) in
Fig. 1. The black line and diamonds mark the MEaSUREs Sentinel-1 velocity dataset for comparison. ual Landsat 8 velocity fields appear to be more precise and
may be preferable when the accuracy of individual velocity
fields are necessary (e.g. comparing early and late season ve-
locities). Sentinel-2 also provides a temporal advantage over
Sentinel-1 datasets, which are limited to a fixed 6 d repeat cy-
cle, and may also provide a valuable alternative for applying
to small and steep glaciers, such as in high mountain regions,
where the use of synthetic aperture radar for velocity extrac-
tion can be challenging (e.g. Paul et al., 2022). DEM opens new avenues for deriving high-latitude Sentinel-
2 orthorectification error from analytical methods (Ressl
and Pfeifer, 2018). To do so would require not only the
Viewfinder DEM but also a “true” glacier surface elevation
DEM contemporaneous to image acquisition, which is diffi-
cult to acquire in rapidly changing sectors of the cryosphere. Here, we highlight the utility of time-evolving DEMs and
the potential of ArcticDEM strips (Porter et al., 2018) and
monthly/annual composites thereof to address this challenge
in the future. https://doi.org/10.5194/tc-16-2629-2022 Figure 6. The temporal density of observations means that short-term
variations in speed, such as the slowdown at the terminus
of Store Glacier, can be well resolved (Fig. S5). The noise
of the dataset highlights the utility of effective filtering and
time series modelling, such as GP regression (Fig. 7), in
extracting a continuous velocity estimate – following other
studies that have made use of, for example, Kalman filter-
ing (King et al., 2018) to similar effect – and it provides
the advantage of a greater accuracy through the synthesis
of multiple estimates. GP fits over the four glaciers assessed https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022 Figure 7. for example, Landsat Collection 2), so this discontinuity be-
tween pre- and post-2021 data will remain into the future. As such, the method outlined here remains applicable for
the correction of Sentinel-2-derived glacier velocity across
the wider cryosphere for Sentinel-2 L1C and L2A data be-
tween 2015–2021. The more recent dataset will reduce the
value of 1h and as such the orthorectification error in the
new datasets – although as the DEM used for orthorectifica-
tion consists of pre-2015 data, some orthorectification error
will remain. As such, offset fields such as those calculated in
this study will need to be calculated separately for the pre-
and post-2021 data. Additionally, the lower 1h value will
likely invalidate the assumption we make in this study that
further elevation change will have a negligible impact on our
assumption of stable geometry. However, GLO-90 is avail-
able for public download (European Space Agency, 2021),
allowing for correction via analytical methods. In combina-
tion with the opportunities we highlight in Sect. 4.2, this
provides a framework for the production of a continuous
Sentinel-2 velocity dataset from 2016–present with cross-
track velocities corrected analytically according to their un-
derlying DEM. for example, Landsat Collection 2), so this discontinuity be-
tween pre- and post-2021 data will remain into the future. As such, the method outlined here remains applicable for
the correction of Sentinel-2-derived glacier velocity across
the wider cryosphere for Sentinel-2 L1C and L2A data be-
tween 2015–2021. The more recent dataset will reduce the
value of 1h and as such the orthorectification error in the
new datasets – although as the DEM used for orthorectifica-
tion consists of pre-2015 data, some orthorectification error
will remain. As such, offset fields such as those calculated in
this study will need to be calculated separately for the pre-
and post-2021 data. Additionally, the lower 1h value will
likely invalidate the assumption we make in this study that
further elevation change will have a negligible impact on our
assumption of stable geometry. However, GLO-90 is avail-
able for public download (European Space Agency, 2021),
allowing for correction via analytical methods. In combina-
tion with the opportunities we highlight in Sect. 4.2, this
provides a framework for the production of a continuous
Sentinel-2 velocity dataset from 2016–present with cross-
track velocities corrected analytically according to their un-
derlying DEM. 4.3
Future datasets The differencing of orbital pair offsets from a reference flow
field has been shown to be an effective method of recon-
structing systematic orthorectification errors when the un-
derlying DEM is not available. Furthermore, we show that
orthorectification errors over Helheim Glacier are consistent
with Sentinel-2 data being orthorectified using data sources
present in the Viewfinder Panoramas 3′′ DEM (de Ferranti,
2014). This finding agrees with that of Kääb et al. (2016),
who found similar agreement between a 1h estimated from
the Viewfinder DEM and Sentinel-2 offsets for a test site in
northern Norway. Further testing is required to establish if
the Viewfinder DEM and PlanetDEM data sources are con-
sistent across broader regions of Greenland and the high lat-
itudes, but if they are then the freely available Viewfinder The empirical offsets derived in this study are only applica-
ble up to 23 August 2021. On this date (or 30 March 2021
for coverage of Europe and Africa), L1C/L2A Sentinel-2
products switched to an improved geometric refinement with
two major changes: (i) co-registration of scenes to a Global
Reference Image (GRI) and (ii) the use of a new DEM, the
Copernicus DEM at 90 m resolution (“GLO-90”), for topo-
graphic correction. This new DEM is based on 2011–2015
radar satellite data acquired during the TanDEM-X mission,
meaning there will be a discontinuity in 1h between the pre-
and post-August 2021 data. There is no currently announced reprocessing of the
Sentinel-2 archive with the new geometric refinements (see, The Cryosphere, 16, 2629–2642, 2022 https://doi.org/10.5194/tc-16-2629-2022 T. R. Chudley et al.: Empirical correction of systematic orthorectification error
Figure 7. for example, Landsat Collection 2), so this discontinuity be-
tween pre- and post-2021 data will remain into the future. As such, the method outlined here remains applicable for
the correction of Sentinel-2-derived glacier velocity across
the wider cryosphere for Sentinel-2 L1C and L2A data be-
tween 2015–2021. The more recent dataset will reduce the
value of 1h and as such the orthorectification error in the
new datasets – although as the DEM used for orthorectifica-
tion consists of pre-2015 data, some orthorectification error
will remain. As such, offset fields such as those calculated in
this study will need to be calculated separately for the pre-
and post-2021 data. 4.3
Future datasets Additionally, the lower 1h value will
likely invalidate the assumption we make in this study that
further elevation change will have a negligible impact on our
assumption of stable geometry. However, GLO-90 is avail-
able for public download (European Space Agency, 2021),
allowing for correction via analytical methods. In combina-
tion with the opportunities we highlight in Sect. 4.2, this
provides a framework for the production of a continuous
Sentinel-2 velocity dataset from 2016–present with cross-
track velocities corrected analytically according to their un-
derlying DEM. 5
Conclusions
By taking advantage of the complete Sentinel-2 reco
tween 2017–2021, we demonstrate an empirical met
correcting for systematic orthorectification error in
velocity fields derived from cross-track image pairs in
scale datasets. The method is simple and computationa
demanding, whilst allowing for spatially continuous
velocity fields to be constructed without limitations
duced by satellite and flow geometry. This method i
to produce a complete dataset of glacier velocity for fo
marine-terminating glaciers across the Greenland Ice
Comparison with alternative datasets highlights the k
vantages of the high temporal frequency of Sentinel
agery, but this density of data also necessitates the use
tistical techniques to account for noise and uncertainty
dataset. Furthermore, we use this method to identify a
publicly available data source for the DEM data used
thorectify Sentinel-2 scenes over Greenland between
2021, which will be useful for future studies concerne
orthorectification error in the region. The transition to
geometric refinement method for Sentinel-2 scenes b T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2639 T. R. Chudley et al.: Empirical correction of systematic orthorectification error
Figure 7. Figure 7. T. R. Chudley et al.: Empirical correction of systematic orthorectification error T. R. Chudley et al.: Empirical correction of systematic orthorectification error T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2640 Figure 7. Corrected Sentinel-2 (blue dots), ITS_LIVE Landsat-8 (orange triangles), and MEaSUREs Sentinel-1 (black diamonds) velocity
time series for four sample glaciers in 2019. Top to bottom are points (a–d) in Fig. 1. The blue line marks the output of the Gaussian process
regression, with the blue shading marking the 2σ uncertainty bound. Figure 7. Corrected Sentinel-2 (blue dots), ITS_LIVE Landsat-8 (orange triangles), and MEaSUREs Sentinel-1 (black diamonds) velocity
time series for four sample glaciers in 2019. Top to bottom are points (a–d) in Fig. 1. The blue line marks the output of the Gaussian process
regression, with the blue shading marking the 2σ uncertainty bound. provides the opportunity for this to occur through analytical
rather than empirical methods. Supplement. The supplement related to this article is available on-
line at: https://doi.org/10.5194/tc-16-2629-2022-supplement. 5
Conclusions By taking advantage of the complete Sentinel-2 record be-
tween 2017–2021, we demonstrate an empirical method of
correcting for systematic orthorectification error in glacier
velocity fields derived from cross-track image pairs in large-
scale datasets. The method is simple and computationally un-
demanding, whilst allowing for spatially continuous glacier
velocity fields to be constructed without limitations intro-
duced by satellite and flow geometry. This method is used
to produce a complete dataset of glacier velocity for four key
marine-terminating glaciers across the Greenland Ice Sheet. Comparison with alternative datasets highlights the key ad-
vantages of the high temporal frequency of Sentinel-2 im-
agery, but this density of data also necessitates the use of sta-
tistical techniques to account for noise and uncertainty in the
dataset. Furthermore, we use this method to identify a likely
publicly available data source for the DEM data used to or-
thorectify Sentinel-2 scenes over Greenland between 2015–
2021, which will be useful for future studies concerned with
orthorectification error in the region. The transition to a new
geometric refinement method for Sentinel-2 scenes beyond
August 2021 will require new correction offsets to be gen-
erated, but the transition to a publicly available DEM (and
the identification of 2015–2021 data sources in this study) https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022 References Altena, B. and Kääb, A.: Elevation Change and Improved
Velocity
Retrieval
Using
Orthorectified
Optical
Satel-
lite Data from Different Orbits, Remote Sens., 9, 300,
https://doi.org/10.3390/rs9030300, 2017. Hugonnet, R., McNabb, R., Berthier, E., Menounos, B., Nuth,
C., Girod, L., Farinotti, D., Huss, M., Dussaillant, I., Brun,
F., and Kääb, A.: Accelerated global glacier mass loss
in the early twenty-first century, Nature, 592, 726–731,
https://doi.org/10.1038/s41586-021-03436-z, 2021. Altena, B., Haga, O. N., Nuth, C., and Kääb, A.: MONI-
TORING SUB-WEEKLY EVOLUTION OF SURFACE VE-
LOCITY
AND
ELEVATION
FOR
A
HIGH-LATITUDE
SURGING GLACIER USING SENTINEL-2, Int. Arch. Pho-
togramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1723–
1727, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1723-
2019, 2019. Joughin, I.: MEaSUREs Greenland 6 and 12 day Ice Sheet
Velocity Mosaics from SAR, Version 1, NASA National
Snow and Ice Data Center Distributed Active Archive Center,
https://doi.org/10.5067/6JKYGMOZQFYJ, 2021a. Joughin, I.: MEaSUREs Greenland Ice Velocity Annual Mo-
saics from SAR and Landsat, Version 3, NASA National
Snow and Ice Data Center Distributed Active Archive Center,
https://doi.org/10.5067/C2GFA20CXUI4, 2021b. Chudley,
T. R.,
Howat,
I. M.,
Yadav,
B. N.,
and
Noh,
M. J.:
Data
supporting
“Empirical
correction
of
sys-
tematic
orthorectification
error
in
Sentinel-2
velocity
fields for Greenlandic outlet glaciers”, Zenodo [dataset],
https://doi.org/10.5281/zenodo.6676196, 2022. Joughin, I., Smith, B. E., and Howat, I.: Greenland Ice Map-
ping Project: ice flow velocity variation at sub-monthly
to
decadal
timescales,
The
Cryosphere,
12,
2211–2227,
https://doi.org/10.5194/tc-12-2211-2018, 2018. de Ferranti, J.: Viewfinder Panoramas 3” DEM, http://www. viewfinderpanoramas.org/dem3.html (last access: 22 Febru-
ary 2022), 2014. Kääb, A., Winsvold, S. H., Altena, B., Nuth, C., Nagler, T.,
and Wuite, J.: Glacier Remote Sensing Using Sentinel-
2. Part
I:
Radiometric
and
Geometric
Performance,
and Application to Ice Velocity, Remote Sens., 8, 598,
https://doi.org/10.3390/rs8070598, 2016. Dehecq, A., Gourmelen, N., Gardner, A. S., Brun, F., Goldberg,
D., Nienow, P. W., Berthier, E., Vincent, C., Wagnon, P., and
Trouvé, E.: Twenty-first century glacier slowdown driven by
mass loss in High Mountain Asia, Nat. Geosci., 12, 22–27,
https://doi.org/10.1038/s41561-018-0271-9, 2019. King, M. D., Howat, I. M., Jeong, S., Noh, M. J., Wouters, B., Noël,
B., and van den Broeke, M. R.: Seasonal to decadal variability in
ice discharge from the Greenland Ice Sheet, The Cryosphere, 12,
3813–3825, https://doi.org/10.5194/tc-12-3813-2018, 2018. European Space Agency: Copernicus GLO-90 Digital Surface
Model, OpenTopography, https://doi.org/10.5069/G9028PQB,
2021. King, M. D., Howat, I. M., Candela, S. G., Noh, M. J., Jeong, S.,
Noël, B. P. Y., van den Broeke, M. provides the opportunity for this to occur through analytical
rather than empirical methods. Data availability. The
velocity
datasets
produced
for
the
glaciers
in
this
study
are
available
from
Zenodo
(https://doi.org/10.5281/zenodo.6676196,
Chudley
et
al.,
2022), and an expanded record covering Greenlandic marine-
terminating glaciers will be made available as part of the
MEaSUREs project through the NSIDC. The NSIDC also
hosts access to the supplementary data used in this work:
ITS_LIVE
data
(https://doi.org/10.5067/IMR9D3PEI28U;
Gardner et al., 2022), MEaSUREs Sentinel-1 velocity data
(https://doi.org/10.5067/6JKYGMOZQFYJ;
Joughin,
2021a),
GrIMP
DEM
(https://doi.org/10.5067/H0KUYVF53Q8M;
Howat
et
al.,
2017),
and
the
GrIMP
mask
(https://doi.org/10.5067/B8X58MQBFUPA; Howat, 2017). Version
1 of the 3′′ Viewfinder Panoramas DEM for Greenland can be found
at http://viewfinderpanoramas.org/GL-ReadMe.html (de Ferranti,
2014). Sentinel-2 scenes were accessed via the AWS Registry of
Open Data (https://registry.opendata.aws/sentinel-2, last access:
29 February 2022). Velocity processing was performed using
SETSM, available at https://github.com/setsmdeveloper/SETSM
(Noh and Howat, 2019). Author contributions. TRC and IMH conceptualised and designed
the study. TRC, BY, and MJN processed the data. TRC performed
the analysis. TRC wrote the manuscript with contributions from all
authors. Competing interests. The contact author has declared that neither
they nor their co-authors have any competing interests. Disclaimer. Publisher’s note: Copernicus Publications remains
neutral with regard to jurisdictional claims in published maps and
institutional affiliations. Acknowledgements. The velocity fields contain modified Coperni-
cus Sentinel data (2017–2021), processed by ESA. We are grate-
ful to the scientific editor, Etienne Berthier, as well as reviewers
Jeremie Mouginot and Bas Altena for the constructive remarks on
the paper. The Cryosphere, 16, 2629–2642, 2022 https://doi.org/10.5194/tc-16-2629-2022 https://doi.org/10.5194/tc-16-2629-2022 T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2641 Financial support. This research has been supported by the
National Aeronautics and Space Administration (grant nos. 80NSSC18M0078 and 80NSSC18K1027). Financial support. This research has been supported by the
National Aeronautics and Space Administration (grant nos. 80NSSC18M0078 and 80NSSC18K1027). Howat, I.: MEaSURES Greenland Ice Velocity: Selected Glacier
Site Velocity Maps from Optical Imagery, Version 3, NASA Na-
tional Snow and Ice Data Center Distributed Active Archive Cen-
ter, https://doi.org/10.5067/RRFY5IW94X5W, 2020. Howat, I., Negrete, A., and Smith, B.: MEaSUREs Greenland
Ice Mapping Project (GIMP) Digital Elevation Model from
GeoEye and WorldView Imagery, Version 1, NASA National
Snow and Ice Data Center Distributed Active Archive Center,
https://doi.org/10.5067/H0KUYVF53Q8M, 2017. Review statement. This paper was edited by Etienne Berthier and
reviewed by Bas Altena and Jeremie Mouginot. Howat, I. M., Negrete, A., and Smith, B. E.: The Green-
land Ice Mapping Project (GIMP) land classification and
surface elevation data sets, The Cryosphere, 8, 1509–1518,
https://doi.org/10.5194/tc-8-1509-2014, 2014. T. R. Chudley et al.: Empirical correction of systematic orthorectification error 2642 Nagy, T., Andreassen, L. M., Duller, R. A., and Gonzalez, P. J.: SenDiT: The Sentinel-2 Displacement Toolbox with Appli-
cation to Glacier Surface Velocities, Remote Sens., 11, 1151,
https://doi.org/10.3390/rs11101151, 2019. Rosenau, R., Scheinert, M., and Dietrich, R.: A process-
ing system to monitor Greenland outlet glacier velocity
variations
at
decadal
and
seasonal
time
scales
utilizing
the Landsat imagery, Remote Sens. Environ., 169, 1–19,
https://doi.org/10.1016/j.rse.2015.07.012, 2015. Noh, M.-J. and Howat, I. M.: Applications of High-Resolution,
Cross-Track, Pushbroom Satellite Images With the SETSM
Algorithm,
IEEE
J. Sel. Top. Appl.,
12,
3885–3899,
https://doi.org/10.1109/JSTARS.2019.2938146, 2019. Smith, B., Fricker, H. A., Gardner, A. S., Medley, B., Nilsson, J.,
Paolo, F. S., Holschuh, N., Adusumilli, S., Brunt, K., Csatho,
B., Harbeck, K., Markus, T., Neumann, T., Siegfried, M. R.,
and Zwally, H. J.: Pervasive ice sheet mass loss reflects compet-
ing ocean and atmosphere processes, Science, 368, 1239–1242,
https://doi.org/10.1126/science.aaz5845, 2020. Paul, F., Piermattei, L., Treichler, D., Gilbert, L., Girod, L., Kääb,
A., Libert, L., Nagler, T., Strozzi, T., and Wuite, J.: Three dif-
ferent glacier surges at a spot: what satellites observe and what
not, The Cryosphere, 16, 2505–2526, https://doi.org/10.5194/tc-
16-2505-2022, 2022. Solgaard, A., Kusk, A., Merryman Boncori, J. P., Dall, J., Mankoff,
K. D., Ahlstrøm, A. P., Andersen, S. B., Citterio, M., Karls-
son, N. B., Kjeldsen, K. K., Korsgaard, N. J., Larsen, S. H., and Fausto, R. S.: Greenland ice velocity maps from
the PROMICE project, Earth Syst. Sci. Data, 13, 3491–3512,
https://doi.org/10.5194/essd-13-3491-2021, 2021. Poinar, K. and Andrews, L. C.: Challenges in predicting Greenland
supraglacial lake drainages at the regional scale, The Cryosphere,
15, 1455–1483, https://doi.org/10.5194/tc-15-1455-2021, 2021. Porter, C., Morin, P., Howat, I., Noh, M.-J., Bates, B., Peterman,
K., Keesey, S., Schlenk, M., Gardiner, J., Tomko, K., Willis, M.,
Kelleher, C., Cloutier, M., Husby, E., Foga, S., Nakamura, H.,
Platson, M., Wethington, M., Williamson, C., Bauer, G., Enos,
J., Arnold, G., Kramer, W., Becker, P., Doshi, A., D’Souza, C.,
Cummens, P., Laurier, F., and Bojesen, M.: ArcticDEM, Harvard
Dataverse, https://doi.org/10.7910/DVN/OHHUKH, 2018. Vijay, S., King, M. D., Howat, I. M., Solgaard, A. M., Khan, S. A., and Noël, B.: Greenland ice-sheet wide glacier classification
based on two distinct seasonal ice velocity behaviors, J. Glaciol.,
67, 1241–1248, https://doi.org/10.1017/jog.2021.89, 2021. Williams, C. K. and Rasmussen, C. E.: Gaussian processes for ma-
chine learning, Cambridge, MA, MIT press, 2, p. 4, 2006. Ressl, C. References R., Wouters, B., and Ne-
grete, A.: Dynamic ice loss from the Greenland Ice Sheet driven
by sustained glacier retreat, Commun. Earth Environ., 1, 1–7,
https://doi.org/10.1038/s43247-020-0001-2, 2020. Franks, S., Storey, J., and Rengarajan, R.: The New Landsat
Collection-2 Digital Elevation Model, Remote Sens., 12, 3909,
https://doi.org/10.3390/rs12233909, 2020. Friedl, P., Seehaus, T., and Braun, M.: Global time series
and temporal mosaics of glacier surface velocities derived
from Sentinel-1 data, Earth Syst. Sci. Data, 13, 4653–4675,
https://doi.org/10.5194/essd-13-4653-2021, 2021. Mankoff, K. D., Colgan, W., Solgaard, A., Karlsson, N. B.,
Ahlstrøm, A. P., van As, D., Box, J. E., Khan, S. A., Kjeldsen,
K. K., Mouginot, J., and Fausto, R. S.: Greenland Ice Sheet solid
ice discharge from 1986 through 2017, Earth Syst. Sci. Data, 11,
769–786, https://doi.org/10.5194/essd-11-769-2019, 2019. Gardner, A. S., Moholdt, G., Scambos, T., Fahnstock, M.,
Ligtenberg, S., van den Broeke, M., and Nilsson, J.: In-
creased West Antarctic and unchanged East Antarctic ice dis-
charge over the last 7 years, The Cryosphere, 12, 521–547,
https://doi.org/10.5194/tc-12-521-2018, 2018. Moon, T., Joughin, I., Smith, B., van den Broeke, M. R., van de
Berg, W. J., Noël, B., and Usher, M.: Distinct patterns of seasonal
Greenland glacier velocity, Geophys. Res. Lett., 41, 7209–7216,
https://doi.org/10.1002/2014GL061836, 2014. Gardner, A. S., Fahnestock, M. A., and Scambos, T. A.: MEaSUREs
ITS_LIVE Landsat Image-Pair Glacier and Ice Sheet Surface
Velocities: Version 1, https://doi.org/10.5067/IMR9D3PEI28U,
2022. Morlighem, M., Bondzio, J., Seroussi, H., Rignot, E., Larour,
E.,
Humbert,
A.,
and
Rebuffi,
S.:
Modeling
of
Store
Gletscher’s calving dynamics, West Greenland, in response to
ocean thermal forcing, Geophys. Res. Lett., 43, 2659–2666,
https://doi.org/10.1002/2016GL067695, 2016. Howat, I.: MEaSUREs Greenland Ice Mapping Project (GIMP)
Land Ice and Ocean Classification Mask, Version 1. National
Snow and Ice Data Center Distributed Active Archive Center,
https://doi.org/10.5067/B8X58MQBFUPA, 2017. The Cryosphere, 16, 2629–2642, 2022 https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022 https://doi.org/10.5194/tc-16-2629-2022 T. R. Chudley et al.: Empirical correction of systematic orthorectification error and Pfeifer, N.: Evaluation of the elevation model
influence on the orthorectification of Sentinel-2 satellite im-
ages over Austria, Eur. J. Remote Sens., 51, 693–709,
https://doi.org/10.1080/22797254.2018.1478676, 2018. https://doi.org/10.5194/tc-16-2629-2022 The Cryosphere, 16, 2629–2642, 2022
|
https://openalex.org/W4393060728
|
https://journal.amikveteran.ac.id/index.php/kreatif/article/download/2101/1687
|
Indonesian
| null |
Pelatihan Pembuatan Origami Untuk Meningkatkan Kreativitas Anak Bekebutuhan Khusus Di Panti Asuhan Bhakti Luhur Banjarmasin
|
Kreatif
| 2,023
|
cc-by-sa
| 2,867
|
KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Vol. 3, No. 1 Maret 2023
e-ISSN: 2962-3839; p-ISSN: 2962-4436 , Hal 211-216 KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Vol. 3, No. 1 Maret 2023
e-ISSN: 2962-3839; p-ISSN: 2962-4436 , Hal 211-216 Pelatihan Pembuatan Origami Untuk Meningkatkan Kreativitas Anak Bekebutuhan
Khusus Di Panti Asuhan Bhakti Luhur Banjarmasin
Training Of Making The Origami To Improve The Creativity Of Children With Special Needs
At The Bhakti Luhur Orphanage, Banjarmasin
Getrudis Tutpai1*, Ermeisi Er Unja2, Lucia Andi Chrismilasari3, Aulia Rachman4
1,2,3,4Sekolah Tinggi Ilmu Kesehatan Suaka Insan, Banjarmasin
*meisiunja10@gmail.com2
Article History:
Received: 30 Januari 2023
Revised: 12 Februari 2023
Accepted: 22 Maret 2023
Abstract: Children with needs require special treatment to
help develop their fine motor skills. Through this
community service activity it is hoped that it can develop
fine motor skills in children with special needs. This
activity is carried out using paper media packaged in the
art of paper folding or origami. This paper folding art
training activity is given to children with special needs
with the method of lectures, questions and answers and
demonstrations in the form of paper folding training in
various forms. The results of this community service show
that there has been an increase in knowledge in groups of
children with needs where after the activities the children
know about the art of paper folding and can practice how
to fold paper in various shapes of animals, flowers and
stars. It is hoped that accompanying teachers at the Bhakti
Luhur Orphanage can do paper folding or other types of
art more often to be able to further develop the abilities of
children with special needs. Because fun activities like this
are more in demand by children. Keywords: ABK, Motor
Ability, Origami. Abstrak
Anak berkebutuhan membutuhkan perlakuan khusus dalam membantu mengembangkan
kemampuan motoric halusnya. Melalui kegiatan pengabdian masyarakat ini diharapkan dapat
mengembangkan keterampilan motorik halus pada anak-anak berkebutuhan khusus. Kegiatan ini
dilaksanakan dengan menggunakan media kertas yang dikemas dalam seni melipat kertas atau
origami. Kegiatan pelatihan seni melipat kertas inidiberikan kepada anak-anak berkebutuhan
khusus dengan metode ceramah, tanya jawab dan demonstrasi dalam bentuk pelatihan melipat
kertas dalam berbagai bentuk. Hasil pengabdian masyarakat ini menunjukkan bahwa terjadi
i
k t
t h
d
k l
k
k
k b k b t h
di
t l h dil k k Abstract: Children with needs require special treatment to
help develop their fine motor skills. Through this
community service activity it is hoped that it can develop
fine motor skills in children with special needs. KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Vol. 3, No. 1 Maret 2023
e-ISSN: 2962-3839; p-ISSN: 2962-4436 , Hal 211-216 This
activity is carried out using paper media packaged in the
art of paper folding or origami. This paper folding art
training activity is given to children with special needs
with the method of lectures, questions and answers and
demonstrations in the form of paper folding training in
various forms. The results of this community service show
that there has been an increase in knowledge in groups of
children with needs where after the activities the children
know about the art of paper folding and can practice how
to fold paper in various shapes of animals, flowers and
stars. It is hoped that accompanying teachers at the Bhakti
Luhur Orphanage can do paper folding or other types of
art more often to be able to further develop the abilities of
children with special needs. Because fun activities like this
are more in demand by children. Article History:
Received: 30 Januari 2023
Revised: 12 Februari 2023
Accepted: 22 Maret 2023 Keywords: ABK, Motor
Ability, Origami. Abstrak Anak berkebutuhan membutuhkan perlakuan khusus dalam membantu mengembangkan
kemampuan motoric halusnya. Melalui kegiatan pengabdian masyarakat ini diharapkan dapat
mengembangkan keterampilan motorik halus pada anak-anak berkebutuhan khusus. Kegiatan ini
dilaksanakan dengan menggunakan media kertas yang dikemas dalam seni melipat kertas atau
origami. Kegiatan pelatihan seni melipat kertas inidiberikan kepada anak-anak berkebutuhan
khusus dengan metode ceramah, tanya jawab dan demonstrasi dalam bentuk pelatihan melipat
kertas dalam berbagai bentuk. Hasil pengabdian masyarakat ini menunjukkan bahwa terjadi
peningkatan pengetahuan pada kelompok anak-anak berkebutuhan dimana setelah dilakukan
kegiatan anak-anak mengetahui mengenai seni melipat kertas dan dapat mempraktekan bagaimana
cara melipat kertas dalam beberapa bentuk binatang, bunga maupun bintang. Bagi para guru
pendamping di Panti Asuhan Bhakti Luhur diharapkan dapat lebih sering melakukan seni melipat
kertas atau jenis seni lainnya untuk dapat lebih mengembangkan kemampuan anak-anak
berkebutuhan khusus. Karena kegiatan yang menyenangkan seperti ini lebih diminati oleh anak-
anak. https://journal.amikveteran.ac.id/index.php/kreatif 211 https://journal.amikveteran.ac.id/index.php/kreatif 211 PENDAHULUAN Melipat kertas adalah sesuatu hal yang sangat menyenangkan bagi anak-anak karena
mereka dapat mebiat apa saja, dari melipat sesuatu yang sederhana seperti bentuk segi tiga, segi
empat, sampai dengan bentuk yang agak sulit. Melipat tidak hanya untuk anak-anak, namun juga
orang dewasa. Sebab dengan seni origami ini dapat dilakukan dengan bersama-sama sehingga akan
meningkatkan interaksi dan komunikasi serta pendekatan antar guru dan anak. Ketertarikan anak
terhadap seni origami, terletak pada keunikan dari origami tersebut yang merupakan karya seni
yang menyenangkan, anak-anak sangat berminat pada pembelajaran seni origami yang sangat
menarik itu. Hal ini dapat terlihat dari kecerian anak, ketika sehelai kertas yang dipegang dan
kemudian dilipat beberapa kali dan pada detik yang berikutnya berubah menjadi karya seni tiga
dimensi yang tidak terbayangkan anak sebelumnya. Kegiatan melipat kertas atau origami adalah sebuah cara yang dapat mengembangkan
kemampuan motorik halus anak. Origami memiliki peran penting sebagai media komunikasi yang
menyenangkan antara guru, anak, juga orangtua. Jika dilatih secara konsisten dan diaplikasikan
dengan metode yang tepat, maka bisa meningkatkan daya konsentrasi anak. Keterampilan origami
adalah suatu kegiatan yang sangat baik untuk merangsang kreativitas anak, serta membangun daya
ingat anak, membangun daya imajinasi anak, dapat menumbuhkan rasa penasaran anak dan
membangun sosial yang baik bersama orang-orang yang ada disampingnya. g
y
g
g
g y
g
p g y
Di negara Jepang, kertas origami ini dipakai saat mengajar anak-anak di TK, termaksud
anak yang tidak bisa diam di kelas. Begitu pula pada anak-anak berkebutuhan khusus, metode ini
juga dapat dilakukan. Secara khusus kegiatan melipat bertujuan untuk melatih daya ingat,
pengamatan, keterampilan tangan, mengembangkan daya fantasi, kreasi, ketelitian, kerapian,dan
perasaan keindahan. Melalui kegiatan melipat kertas juga dapat mengembangkan keterampilan
motorik halus anak, seperti melatih gerak otototot tangan sehingga anak memiliki kemampuan
untuk memegang pensil, meremas kertas, ataupun membentuk benda dari adonan atau bahan lain. Melipat kertas (origami) merupakan salah satu pengembangan motorik halus yang membutuhkan
keterampilan, ketelitian, dan bimbingan. Damayanti (2012) mengatakan manfaat melipat kertas
(origami) yaitu sebagai berikut: anak berlajar tentang konsep, sebagai alat komunikasi, dapat
meningkatkan keterampilan motorik halus anak, anak belajar mengenai ukuran dan bentuk, anak
belajar mengikuti instruksi yang runtun, anak belajar berkreativitas, anak belajar membuat mainan
sendiri, anak belajar berimajinasi, anak dilatih konsentrasi.Hal-hal ini yang dianggap dapat
membantu anak-anak yang berkebutuhan khusus untuk dapat mengembangkan kemampuan
motoriknya. Anak berkebutuhan khusus adalah anak yang mempunyai karakteristik khusus
dibanding dengan anak normal pada umumnya. Kata Kunci: ABK, Kemampuan Motorik, Origami. Kata Kunci: ABK, Kemampuan Motorik, Origami. https://journal.amikveteran.ac.id/index.php/kreatif 211 212 KREATIF Vol. 3, No. 1 Maret 2023 KREATIF Vol. 3, No. 1 Maret 2023 https://journal.amikveteran.ac.id/index.php/kreatif PENDAHULUAN Terkait pengertian anak berkebutuhan khusus diungkapkan oleh Desiningrum, 2016 yang
mengatakan secara umum, ABK memiliki karakteristik khusus yang berbeda dengan anak pada
umumnya, namun tidak selalu menunjukkan ketidakmampuan mental. Milyartini (2012) juga
mengemukakan anak berkebutuhan khusus adalah anak dengan karakteristik khusus yang berbeda
dengan anak pada umumnya, baik berbeda karena memiliki keterbatasan/ketidakmampuan (fisik,
mental dan sosial emosi), maupun memiliki kelebihan atau keistimewaan (gifted and tallented). Anak berkebutuhan khusus biasanya tidak mampu beradaptasi dengan lingkungan sehingga
mereka memerlukan layanan, perawatan, pengawasan dan dukungan serta pembelajaran yang https://journal.amikveteran.ac.id/index.php/kreatif 213
KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Vol. 3, No. 1 Maret 2023
e-ISSN: 2962-3839; p-ISSN: 2962-4436 , Hal 211-216 213 sesuai secara terus menerus. Namun, keterbatasan/ketidakmampuan yang dimiliki seorang ABK
tidak mengartikan bahwa mereka tidak berhak mendapatkan pendidikan. sesuai secara terus menerus. Namun, keterbatasan/ketidakmampuan yang dimiliki seorang ABK
tidak mengartikan bahwa mereka tidak berhak mendapatkan pendidikan. Banyak hal yang perlu diperhatikan bagi anak-anak yang berkebutuhan khusus diantaranya
adalah bagaimana mengembangkan kemampuan motorik halus anak dengan sebuah pembelajaran
yang menarik dan menyenangkan. Salah satunya adalah dengan menggunakan seni origami atau
sering disebut juga dengan seni melipat kertas. Hirai ( 2010 :8) seni melipat kertas atau origami
adalah suatu seni yang berasal dari cina yang diperkenalkan oleh seseorang yang bernama Ts’ai
Lun yang awal mulanya terbuat dari kertas yang berasal dari hancuran tumbuhan dan kain yang
sudah tidak terpakai. Namun Salsabila (2011:2), mengatakan bahwa origami adalah seni melipat
kertas yang berasal dari negeri jepang dan dikembangkan ke berbagai negara lain sebagai
pelengkap kegiatan keterampilan atau sekedar mengisi waktu luang. Kegiatan di dalam seni
origami terdapat macam-macam aktivitas tangan meliputi memegang, membalik, memutar,
mengambil, dan melipat kertas yang dapat meningkatkan kemampuan motoric pada anak. g
,
p
y
g
p
g
p
p
Anak berkebutuhan khusus (ABK) adalah anak yang memiliki kelainan pada dirinya baik
secara fisik maupun mental dan membutuhkan perlakuan khusus. Melalui kegiatan melipat kertas
diharapkan dapat mengembangkan keterampilan motorik halus terlebih pada anak-anak
berkebutuhan khusus. Metode ini diketahui dapat melatih gerak otot-otot tangan sehingga anak
memiliki kemampuan untuk memegang pensil, meremas kertas, ataupun membentuk benda dari
adonan atau bahan lain. Melipat kertas (origami) merupakan salah satu pengembangan motorik
halus yang membutuhkan keterampilan, ketelitian, dan bimbingan. pada anak-anak berkebutuhan
khusus, metode ini juga dapat dilakukan. Secara khusus kegiatan melipat bertujuan untuk melatih
daya ingat, pengamatan, keterampilan tangan, mengembangkan daya fantasi, kreasi, ketelitian,
kerapian,dan perasaan keindahan. PENDAHULUAN Dengan dilakukannnya kegiatan ini, diharapkan anak-anak
berkebutuhan khusus bisa lebih mandiri seperti melipat baju maupun melipat apa saja yang perlu
dilipat. METODE Sasaran program PKM dalam bentuk penyuluhan dan pelatihan ini adalah anak-anak
berkebutuhan khusus di Panti asuhan Bhakti Luhur, Banjarmasin sebagai mitra PKM. Dalam
kegiatan ini proses meningkatkan motorik halus anak-anak berkebutuhan khusus dilakukan dengan
menggunakan media kertas yang dikemas dalam seni melipat kertas atau origami. Kegiatan
pelatihan seni melipat kertas diberikan kepada anak-anak berkebutuhan khusus dengan metode
ceramah, tanya jawab dan demonstrasi dalam bentuk pelatihan. Adapun tahapan-tahapan dalam
pelaksanaan kegiatan pengabdian sebagai berikut: a. Ceramah dan tanya jawab interaktif bersama anak-anak tentang manfaat,fungsi dan
pentingnya seni melipat kertas yang dapat dimanfaatkan sebagai media alternatif untuk
meningkatkan motorik halus anak usia dini. b. Menonton video mengenai seni melipat atau origami c. Demonstrasi digunakan untuk mempraktekkan cara melipat kertas yang sesuai dengananak
usia dini https://journal.amikveteran.ac.id/index.php/kreatif https://journal.amikveteran.ac.id/index.php/kreatif 214 KREATIF Vol. 3, No. 1 Maret 2023 KREATIF Vol. 3, No. 1 Maret 2023 DISKUSI Melalui kegiatan ini diharapkan mampu membantu anak-anak yang berkebutuhan khusus
untuk lebih mengembangkan cara berpikir mereka. Keterbatasan/ketidakmampuan yang dimiliki
seorang Anak berkebutuhan khusus tidak mengartikan bahwa mereka tidak berhak mendapatkan
pendidikan. Anak-anak tersebut juga berhak mendapatkan cara pendidikan yang sama seperti anak-
anak lainnya, agar kemampuan motorik halus anak juga dapat berkembang. Saputra & Rudyanto
(2005) Motorik Halus adalah kemampuan anak beraktivitas dengan menggunakan otot-otot halus
(kecil) seperti melipat, menulis, meremas, menggenggam, menyusun balok, dan memasukkan
kelereng. Untuk itu dalam kegiatan ini menggunakan seni yang menyenangkan seperti seni melipat
kertas atau origami. Kegiatan origami secara khusus memiliki manfaat dalam melatih daya ingat, pengamatan,
keterampilan tangan atau motoric halus, mengembangkan daya fantasi, kreasi, ketelitian,
kerapian,dan perasaan keindahan. Sementara dampaknya bagi anak yaitu bisa belajar tentang
gerakan tangan, latihan konsentrasi dan kreativitas. Hal tersebut sejalan dengan pendapat
Damayanti (2012) mengatakan manfaat melipat kertas (origami) yaitu sebagai berikut: anak belajar
tentang konsep, sebagai alat komunikasi, dapat meningkatkan keterampilan motorik halus anak,
anak belajar mengenai ukuran dan bentuk, anak belajar mengikuti instruksi yang runtun. Keterampilan origami juga sangat baik untuk merangsang kreativitas anak, serta membangun daya
ingat anak, membangun daya imajinasi anak, dapat menumbuhkan rasa penasaran anak dan
membangun sosial yang baik bersama orang-orang yang ada disampingnya (Herlina, 2021). Origami memberikan manfaat yang baik bagi anak-anak berkebutuhan khusus agar lebih kreatif
dengan menggunakan barang yang mudah didapat, sederhana dan biaya yang mudah dijangkau. Kegiatan PkM tentang pelatihan origami atau seni melipat kertas untuk meningkatkan
motorik halus anak-anak berkebutuhan khusus berlangsung dengan baik dan lancar sesuai dengan
rencana dan jadwal yang telah disepakati bersama antara tim PkM dengan pihak panti asuhan
Bhakti Luhur. Hasil kegiatan menunjukkan bahwa peserta dapat melipat kertas, memahami cara
dan seni melipat kertas dengan berbagai bentuk. Anak-anak sangat terlihat senang dan ceria setelah
kegiatan selesai. Hal ini dapat dilihat dari kemampuan motorik halus anak sebelum menggunakan
origami dimana masih banyak anak yang masih kesulitan dalam menggambar, belum mampu
melipat dengan lipatan 5-8 lipatan, tetapi setelah dilakukan origami ada peningkatan kemampuan
motorik halus anak dimana anak sudah dapat melipat dengan berbagai kreasi. KESIMPULAN Hasil pengabdian masyarakat ini menunjukkan bahwa terjadi peningkatan pengetahuan
pada kelompok anak-anak berkebutuhan dimana setelah dilakukan kegiatan anak-anak mengetahui
mengenai seni melipat kertas dan dapat mempraktekan bagaimana cara melipat kertas dalam
beberapa bentuk binatang, bunga maupun bintang. Bagi para guru pendamping di Panti Asuhan Bhakti Luhur diharapkan dapat lebih sering
melakukan seni melipat kertas atau jenis seni lainnya untuk dapat lebih mengembangkan
kemampuan anak-anak berkebutuhan khusus. Karena kegiatan yang menyenangkan seperti ini
lebih diminati oleh anak-anak. https://journal.amikveteran.ac.id/index.php/kreatif 215 215
KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Vol. 3, No. 1 Maret 2023
e-ISSN: 2962-3839; p-ISSN: 2962-4436 , Hal 211-216 HASIL Kegiatan pengabdian masyarakat ini laksanakan pada diikuti oleh 30 orang anak
berkebutuhan khusus di Panti Asuhan Bhakti Luhur, Banjarmasin. Pada kegiatan ini diberikan
materi mengenai origami atau seni melipat kertas dan cara seni melipat kertas kepada anak-anak. Pada tahap pertama, pemateri memberikan video mengenai origami serta jenis-jenis origami yang
sering dilakukan oleh anak-anak usis dini. Kemudian setelah selesai menonton video dan
melakukan tanya jawab, Anak- anak diminta mencoba untuk melipat kertas namun hampir
Sebagian besar anak-anak hanya melipat kertas menjadi 2 bagian atau 4 bagian tanpa membentuk
pola apapun. Hal ini menunjukkan mereka belum pernah mengenal seni melipat kertas atau origami
sebelumnya. Selanjutnya pemateri dan beberapa orang mahasiswa memberikan contoh cara melipat
kertas bermacam bentuk kepada anak-anak. Kegiatan ini dimulai dengan menyiapkan alat dan
bahan yang diperlukan untuk melipat kertas. Alat dan bahan yang diperlukan yaitu kertas manila,
kertas origami, bekas kardus, lem, gunting, kaleng, isolotif, double tip,pensil warna dan spidol. Setelah selesai menyiapkan alat dan bahan, tahap selanjutnya anak-anak dibagi dalam beberapa
kelompok yang dipimpin oleh seorang dosen dan mahasiswa. Pembagian dalam kelompok tersebut
bertujuan agar kegiatan dapat berjalan dengan lancar. j
g
g
p
j
g
Setelah anak-anak berkumpul dalam kelompok-kelopoknya, tahapan selanjutnya adalah
melipat kertas. Proses pembuatan media ini, dilakukan dengan cara mendemonstrasikan langkah-
langkah melipat kertas kegiatan melipat kertas berlangsung dengan lancar. Peserta sangat semangat
dan antusias mengikuti pelatihan. Hal tersebut terlihat dari hasil melipat kertas yang dibuat oleh
peserta. Proses melipat kertas yang dibuat oleh peserta sangat menarik, bervariasi dan selesai tepat
waktu. Anak-anak yang sebelumnya tidak mengetahui dan memahami cara melipat kertas, setelah
dilakukan pembimbingan anak-anak dapat melipat kertas dengan bermacaram-macam bentuk. Ada
yang melipat membentuk Binatang ikan dan burung, bunga, serta bintang. Semuanya terlihat
sangan senang dengan kegiatan ini. Setelah anak-anak berkumpul dalam kelompok-kelopoknya, tahapan selanjutnya adalah
melipat kertas. Proses pembuatan media ini, dilakukan dengan cara mendemonstrasikan langkah-
langkah melipat kertas kegiatan melipat kertas berlangsung dengan lancar. Peserta sangat semangat
dan antusias mengikuti pelatihan. Hal tersebut terlihat dari hasil melipat kertas yang dibuat oleh
peserta. Proses melipat kertas yang dibuat oleh peserta sangat menarik, bervariasi dan selesai tepat
waktu. Anak-anak yang sebelumnya tidak mengetahui dan memahami cara melipat kertas, setelah
dilakukan pembimbingan anak-anak dapat melipat kertas dengan bermacaram-macam bentuk. Ada
yang melipat membentuk Binatang ikan dan burung, bunga, serta bintang. Semuanya terlihat
sangan senang dengan kegiatan ini. https://journal.amikveteran.ac.id/index.php/kreatif https://journal.amikveteran.ac.id/index.php/kreatif 215 PENGAKUAN/ACKNOWLEDGEMENTS Terimakasih diberikan kepada STIKES Suaka Insan atas dukungan biaya yang diberikan
pada kegiatan pengabdian kepada masyarakat ini sehingga kegiatan ini dapat berjalan dengan baik. Kepada pihak Panti Asuhan Bhakti Luhur sebagai mitra pelaksana yang turut terlibat secara
langsung, juga kami ucapakan terimakasih yang sebanyak-banyaknya. https://journal.amikveteran.ac.id/index.php/kreatif 216 KREATIF Vol. 3, No. 1 Maret 2023 DAFTAR REFERENSI Ardhiyanti, Yulrina, dkk. (2014). Panduan Lengkap Keterampilan Dasar Kebidanan I. Ed 1,
Cet1.Yogyakarta: Deepublish. Astri, Damayanti. 2011. Origami For Kids 2. Jakarta: Buah hati Desiningrum, D. R. (2016). Psikologi Anak Berkebutuhan Khusus. Yogyakarta: Evi Laila Masrifa. 2016. “Meningkatkan Kemampuan Fisik-Motorik Halus Melalui Kegiatan Seni
Origami Pada Anak Kelompok B TK Dharma Wanita Bukur”Jurnal Pendidikan
PAUD.Universitas Nusantara Kediri. 8 (2), hal.56-77 Jumilah.2012. “Meningkatkan Keterampilan Motorik Halus Dengan Melipat Kertas Sederhana
Melalui Metode Demonstrasi di TK Jaya Lestari Desa Beliti Jaya”,Jurnal Ilmu
Pendidikan.Universitas Bengkulu. Vol 7 (1) Maya, Hirai. 2010. Kreasi Origami Favorit. Jakarta: Kawan Pustaka Menteri Pendidikan Nasinal. (2010). Pedoman Pengemangan Program Pembelajaran Di Taman Kanak-Kanak. Jakarta :
Kementerian Pendidikan Nasional Pusat Kurikulum dan Balitbang Pendidikan Nasional
Tahun 1999 Nurmahmudah, E., Puspitasari, T., & Agustin, I. T. (n.d.). Perilaku Hidup Bersih dan Sehat ( PHBS
) pada Anak Sekolah. JURNAL ABDIMAS UMTAS LPPM – Universitas Muhammadiyah
Tasikmalaya Volume: 1, Nomor: 2 E-ISSN: 2614-8544, 46–52. Putri, R.M, dkk. (2016). Pemeriksaan Pertumbuhan dan Personal Hygiene Anak Pra Sekolah di
RA Pesantren Al Madaniyah. Jurnal Akses Pengabdian Indonesia Vol 1 No 1: 55 – 64, 2016. Rully Kusumastuti. 2016. “Meningkatkan Keterampilan Motorik Halus Anak Usia Dini Melalui
Kegiatan Origami Pada Anak Kelompok A Roudhatul Athfal (RA) Al-Ikhlas Semarang”. Jurnal Pendidikan Anak. 6 (2), hal. 44- 5 Saputra, Yudha M & Rudyanto, 2005. Pembelajaran Kooperatif untuk Meningkatkan Keterampilan
Anak Tk. Jakarta:DepDiknas, Dikti, Direktorat P2TK2PT. Wokas, A. (2018). Gambaran Tentang Perilaku Hidup Bersih Dan Sehat Di Sekolah Dasar
Negeri Gumpang 01 Kartasura Sukoharjo. Disusun sebagai salah satu syarat menyelesaikan
Program Studi Strata I pada, 3–15. https://journal.amikveteran.ac.id/index.php/kreatif
|
https://openalex.org/W2771688344
|
https://discovery.dundee.ac.uk/ws/files/19742612/embj.201798099.full.pdf
|
English
| null |
Rab29 activation of the Parkinson's disease‐associated LRRK2 kinase
|
EMBO journal
| 2,017
|
cc-by
| 20,043
|
University of Dundee
Rab29 activation of the Parkinson's disease-associated LRRK2 kinase
Purlyte, Elena; Dhekne, Herschel S. ; Sarhan, Adil R.; Gomez, Rachel ; Lis, Pawel;
Wightman, Melanie
Published in:
EMBO Journal
DOI:
10.15252/embj.201798099
Publication date:
2018
Licence:
CC BY
Document Version
Publisher's PDF, also known as Version of record
Link to publication in Discovery Research Portal
Citation for published version (APA):
Purlyte, E., Dhekne, H. S., Sarhan, A. R., Gomez, R., Lis, P., Wightman, M., Martinez, T. N., Tonelli, F., Pfeffer,
S. R., & Alessi, D. R. (2018). Rab29 activation of the Parkinson's disease-associated LRRK2 kinase. EMBO
Journal, 37(1), 1-18. https://doi.org/10.15252/embj.201798099 Rab29 activation of the Parkinson's disease-associated LRRK2 kinase Link to publication in Discovery Research Portal Citation for published version (APA):
Purlyte, E., Dhekne, H. S., Sarhan, A. R., Gomez, R., Lis, P., Wightman, M., Martinez, T. N., Tonelli, F., Pfeffer,
S. R., & Alessi, D. R. (2018). Rab29 activation of the Parkinson's disease-associated LRRK2 kinase. EMBO
Journal, 37(1), 1-18. https://doi.org/10.15252/embj.201798099 General rights
Copyright and moral rights for the publications made accessible in Discovery Research Portal are retained by the authors and/or other
copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with
these rights. Citation for published version (APA):
Purlyte, E., Dhekne, H. S., Sarhan, A. R., Gomez, R., Lis, P., Wightman, M., Martinez, T. N., Tonelli, F., Pfeffer,
S. R., & Alessi, D. R. (2018). Rab29 activation of the Parkinson's disease-associated LRRK2 kinase. EMBO
Journal, 37(1), 1-18. https://doi.org/10.15252/embj.201798099 Abstract ~1% of sporadic Parkinson’s patients, making LRRK2 one of the
most commonly mutated genes linked to Parkinson’s disease
(Simon-Sanchez et al, 2009). LRRK2 is a large, multi-domain protein
kinase consisting of an armadillo repeat domain (residues 150–510),
an ankyrin domain (residues 690–860), leucine-rich repeats (resi-
dues 984–1278), a ROC-type GTPase domain (residues 1335–1510)
that closely resembles a Rab GTPase and is associated with a COR
domain (C-terminal of Roc, residues 1511–1878), a serine/threonine
protein kinase domain (residues 1879–2138), and a WD40 repeat-
containing domain (residues 2142–2496). The most common patho-
genic mutation lies within the catalytic domain (G2019S) and
increases kinase activity, suggesting that LRRK2 inhibitors might
offer therapeutic benefit for Parkinson’s disease (Greggio et al,
2006; Ozelius et al, 2006; Smith et al, 2006; Jaleel et al, 2007;
Hatcher et al, 2017). Parkinson’s disease predisposing LRRK2 kinase phosphorylates a
group of Rab GTPase proteins including Rab29, within the effector-
binding switch II motif. Previous work indicated that Rab29,
located within the PARK16 locus mutated in Parkinson’s patients,
operates in a common pathway with LRRK2. Here, we show that
Rab29 recruits LRRK2 to the trans-Golgi network and greatly stim-
ulates its kinase activity. Pathogenic LRRK2 R1441G/C and Y1699C
mutants that promote GTP binding are more readily recruited to
the Golgi and activated by Rab29 than wild-type LRRK2. We iden-
tify conserved residues within the LRRK2 ankyrin domain that are
required for Rab29-mediated Golgi recruitment and kinase activa-
tion. Consistent with these findings, knockout of Rab29 in A549
cells reduces endogenous LRRK2-mediated phosphorylation of
Rab10. We show that mutations that prevent LRRK2 from interact-
ing with either Rab29 or GTP strikingly inhibit phosphorylation of a
cluster of highly studied biomarker phosphorylation sites (Ser910,
Ser935, Ser955 and Ser973). Our data reveal that Rab29 is a master
regulator of LRRK2, controlling its activation, localization, and
potentially biomarker phosphorylation. Members of the Rab GTPase family, including Rab8A, Rab10,
and Rab29 (also known as RAB7L1), are substrates for LRRK2
(Steger et al, 2016). Recent work has defined a subset of 14 Rab
proteins (Rab3A/B/C/D, Rab5A/B/C, Rab8A/B, Rab10, Rab12,
Rab29, Rab35, and Rab43) that are potential direct substrates for
LRRK2 (Steger et al, 2017). The LRRK2 phosphorylation site (Thr72
for Rab8A and Thr73 for Rab10) for all of these Rab proteins lies
within the effector-binding, switch II motif (Pfeffer, 2001; Cherfils &
Zeghouf, 2013). 1
MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee, UK
2
Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
3
The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, USA
*Corresponding author. Tel: +44 1382 385602; E-mail: f.tonelli@dundee.ac.uk
**Corresponding author. Tel: +1 650 725 5130; E-mail: pfeffer@stanford.edu
***Corresponding author. Tel: +44 1382 385602; E-mail: d.r.alessi@dundee.ac.uk
†Equal Experimental Contribution Abstract LRRK2 phosphorylation of Rab8A and Rab10
proteins blocks binding to Rab GDP-dissociation inhibitor (GDI) that
is required for Rab protein membrane delivery and recycling; phos-
phorylation also inhibits binding of Rab8A to Rabin-8, its cognate
guanine nucleotide exchange factor (GEF) (Steger et al, 2016, 2017). Pathogenic mutations located within the GTPase (R1441G/C) and
COR (Y1699C) domains do not directly stimulate LRRK2 kinase
activity in vitro (Jaleel et al, 2007; Nichols et al, 2010); neverthe-
less, they markedly enhance phosphorylation of Rab isoforms to an
even greater extent than the G2019S mutation in vivo (Ito et al,
2016; Steger et al, 2016). These mutations promote GTP binding to
the LRRK2 Roc domain (Guo et al, 2007; Lewis et al, 2007; Li et al,
2007; Daniels et al, 2011; Webber et al, 2011; Liao et al, 2014). One Keywords Golgi; GTPase; PARK genes; phosphorylation; Rab10
Subject Categories Membrane & Intracellular Transport; Molecular Biology
of Disease; Post-translational Modifications, Proteolysis & Proteomics
DOI 10.15252/embj.201798099 | Received 27 August 2017 | Revised 13
November 2017 | Accepted 16 November 2017 Keywords Golgi; GTPase; PARK genes; phosphorylation; Rab10
Subject Categories Membrane & Intracellular Transport; Molecular Biology
of Disease; Post-translational Modifications, Proteolysis & Proteomics
DOI 10.15252/embj.201798099 | Received 27 August 2017 | Revised 13
November 2017 | Accepted 16 November 2017 General rights
i h
d Take down policy
If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately
and investigate your claim. Download date: 24. Oct. 2024 Download date: 24. Oct. 2024 Download date: 24. Oct. 2024 Download date: 24. Oct. 2024 Published online: December 6, 2017 ª 2017 The Authors. Published under the terms of the CC BY 4.0 license Activation of LRRK2 by Rab29
Elena Purlyte et al Activation of LRRK2 by Rab29
Elena Purlyte et al In this study, we demonstrate that Rab29 functions as a critical
upstream regulator of LRRK2 by stimulating kinase activity, inferred
by assessing autophosphorylation of Ser1292 as well as phosphory-
lation of LRRK2 substrates such as Rab10. We find that the patho-
genic LRRK2 mutants that bind GTP with higher affinity are
activated by Rab29 to a much greater extent than wild-type LRRK2,
suggesting a mechanism by which such mutations stimulate LRRK2
activity in vivo. Our studies suggest that LRRK2 interacts with
Rab29 via its N-terminal ankyrin domain, and, strikingly, mutations
that disrupt regulation by Rab29 prevent phosphorylation of a clus-
ter of highly studied biomarker phosphorylation sites (Ser910,
Ser935, Ser955 and Ser973) (Dzamko et al, 2010; Doggett et al,
2011). Our findings suggest that Rab29 plays a major role in regulat-
ing LRRK2 Golgi localization and kinase activity as well as poten-
tially triggering phosphorylation of biomarker sites. explanation for why the R1441G/C and Y1699C LRRK2 mutants are
more active in cells is that enhanced GTP binding induces a confor-
mational change, rendering LRRK2 more susceptible to activation
by an as yet unknown, upstream activator. explanation for why the R1441G/C and Y1699C LRRK2 mutants are
more active in cells is that enhanced GTP binding induces a confor-
mational change, rendering LRRK2 more susceptible to activation
by an as yet unknown, upstream activator. Rab29 is one of five genes contained within the PARK16 locus
linked to Parkinson’s disease (Simon-Sanchez et al, 2009; Tucci
et al, 2010). It is most closely related to Rab32 and Rab38 GTPases
that are needed for lysosome-related organelle biogenesis (Bultema
& Di Pietro, 2013; Wang et al, 2014). In contrast to Rab29, Rab32
and Rab38 do not possess a LRRK2 phosphorylation site within their
Switch II effector-binding motifs. There is significant variability
within the PARK16 locus and Parkinson’s association patterns
across populations, and it is currently unclear how mutations within
the PARK16 locus are linked to Parkinson’s disease. Transcriptome
analysis has suggested that the PARK16 locus enhances expression
of Rab29 (Beilina et al, 2014). Other genetic studies of Parkinson’s
patient cohorts have found common variants within the LRRK2 and
Rab29 genes that function coordinately to increase Parkinson’s risk,
as human genetic variants at these loci impact Parkinson’s risk non-
additively (MacLeod et al, 2013; Pihlstrom et al, 2015). Rab29 activates LRRK2 To explore whether Rab29 influences LRRK2 kinase activity, we co-
expressed Rab29 with wild-type and pathogenic mutants of LRRK2
in HEK293 cells, and assessed LRRK2 autophosphorylation of
Ser1292 (Sheng et al, 2012) as well as phosphorylation of endoge-
nous Rab10 (Thr73) and Rab29 (Thr71), employing well-character-
ized
phospho-specific
antibodies
(Fig EV1). Overexpression
of
Rab29 significantly enhanced both LRRK2 Ser1292 and Rab10 phos-
phorylation (Fig 1A). Rab29 stimulated activity of the “enhanced
GTP-binding mutants” (R1441C, R1441G, R1441H, Y1699C) to a
much greater extent than wild-type LRRK2 (Fig 1A). Rab29 was also
phosphorylated by the R1441G/C and Y1699C mutants to a much
greater extent than wild-type LRRK2, consistent with the higher acti-
vation state of these pathogenic mutants (Fig 1A). Due to its higher
basal activity, the G2019S mutant displayed elevated kinase activity
in the absence of Rab29 overexpression, which was further
enhanced upon Rab29 overexpression. The I2020T, T2031S, and
G2385R pathogenic mutants behaved more like wild-type LRRK2
and were activated by Rab29 overexpression to a lesser extent than
the enhanced GTP-binding mutants (Fig 1A). In general, the amount
of Rab10 phosphorylation correlates with the extent of LRRK2 acti-
vation; however, some variation correlating with the level of Rab29
expression is observed. Furthermore, there are 14 Rab proteins that
are phosphorylated by LRRK2 (Steger et al, 2017) and conceivably,
LRRK2 mutants may have slightly different localization or prefer-
ences for diverse Rab proteins, which could also account for varia-
tion between Ser1292 phosphorylation and Rab10 phosphorylation
observed (Fig 1A). We also found that stimulation of Ser1292 as
well as Rab10 phosphorylation induced by overexpression of Rab29
was abolished by introducing a kinase-inactivating D2017A muta-
tion (Fig 1A, right panels), confirming that Rab29 was enhancing
phosphorylation by stimulating LRRK2 kinase activity. Genetic investigations in Caenorhabditis elegans neurons revealed
that the RAB29 (GLO-1) orthologue acts upstream of LRRK2 (LRK-1) in
a signaling pathway controlling axon termination (Kuwahara et al,
2016). It was also reported that Rab29 and LRRK2 double-knockout
mice exhibit an enlarged kidney phenotype that was non-additive, rela-
tive to single Rab29 or LRRK2 knockout, further implying that these
genes act in a common pathway (Kuwahara et al, 2016). Activation of LRRK2 by Rab29
Elena Purlyte et al A haplotype
located near the 50 region of RAB29 is associated with Parkinson’s
and epistasis between Rab29 and LRRK2 gene variants has been
demonstrated (Pihlstrom et al, 2015). ª 2017 The Authors Introduction Autosomal dominant missense mutations within the leucine-rich
repeat protein kinase 2 (LRRK2) gene predispose to Parkinson’s
disease (Paisan-Ruiz et al, 2004; Zimprich et al, 2004). Mutations in
LRRK2 account for ~5% of familial Parkinson’s, and are observed in 1 The EMBO Journal ª 2017 The Authors. Published under the terms of the CC BY 4.0 license The EMBO Journal
Published online: December 6, 2017 Activation of LRRK2 by Rab29
Elena Purlyte et al Rab29 selectively activates LRRK2 We next evaluated the effect that 11 Rab proteins including Rab32
and Rab38 (that are highly related to Rab29) have on Ser1292 phos-
phorylation of wild-type LRRK2 (Fig EV2A) and LRRK2[R1441G]
(Fig EV2B). We found that for wild-type LRRK2, Rab29 markedly
stimulated Ser1292 phosphorylation, but with exception of Rab12,
which induced a modest ~twofold increase, none of the other Rab
proteins including Rab32 and Rab38 activated LRRK2 significantly
(Fig EV2A). For the LRRK2[R1441G] mutant, Rab29 also markedly
increased Ser1292 phosphorylation more than any of the other Rab
proteins (Fig EV2B), but Rab8A and Rab38 also stimulated Ser1292
phosphorylation two- to threefold (Fig EV2B). Rab29 is localized to the Golgi complex (Wang et al, 2014)
where it overlaps with p115 protein (Fig 3A). Like LRRK2 R1441G
(Fig 2), LRRK2 G2019S also displays a distributed, punctate pattern
when expressed on its own (Fig 3E). A small amount of perinuclear
LRRK2 may co-localize with endogenous Rab29, but available anti-
bodies were unable to label endogenous Rab29 protein. However,
when LRRK2 G2019S was co-expressed in cells with Rab29, the
proteins
showed significant
co-localization over
an
extended, Rab29 activates LRRK2 WT is wild-type and D2017A corresponds to the
kinase-inactive LRRK2 mutant. Similar results were obtained in two separate experiments. Right: As in left panel except that kinase-inactivating D2017A LRRK2
mutation was inserted into the indicated LRRK2 pathogenic mutant. Similar results were obtained in two independent experiments. B
As in (A) except that LRRK2[R1441G] pathogenic variant was co-transfected with wild-type and indicated mutants of Rab29. EE indicates Rab29[T71E,S72E] mutation
and AA indicates Rab29[T71A,S72A] mutation. Similar results were obtained in two separate experiments, each performed in duplicate. A
Left: HEK293 cells were transfected with the indicated wild-type and human full-length pathogenic LRRK2 variants with either HA-empty vector () or HA-tagged
Rab29 (+). 24 h post-transfection, cells were lysed and analyzed by immunoblotting with the indicated antibodies. WT is wild-type and D2017A corresponds to the
kinase-inactive LRRK2 mutant. Similar results were obtained in two separate experiments. Right: As in left panel except that kinase-inactivating D2017A LRRK2
mutation was inserted into the indicated LRRK2 pathogenic mutant. Similar results were obtained in two independent experiments. B
As in (A) except that LRRK2[R1441G] pathogenic variant was co-transfected with wild-type and indicated mutants of Rab29. EE indicates Rab29[T71E,S72E] mutation
and AA indicates Rab29[T71A,S72A] mutation. Similar results were obtained in two separate experiments, each performed in duplicate. of cytoplasmic protein obscures the localization of the membrane-
associated pool in fixed cells. To overcome this challenge, and to
avoid the possibility of spurious precipitation of cytosolic LRRK2
protein onto cellular structures during fixation, we employed an
established liquid nitrogen coverslip freeze–thaw protocol (Seaman,
2004) to deplete cytosolic proteins and reveal the localization of
membrane-associated LRRK2 protein. Figure 2 shows the localiza-
tion of R1441G LRRK2 in HeLa cells upon transient transfection. The protein is localized predominantly in the perinuclear region but
distinct, peripheral punctae are also detected, and 60% of these also
contain Rab10 protein (Fig 2A and C). In the perinuclear region,
more than 40% of the LRRK2 punctae co-localized with Rab8
protein (Fig 2B and D). These findings are consistent with the fact
that Rab10 and Rab8 are significant LRRK2 substrates (Steger et al,
2016). Rab29 by LRRK2, we mutated the phosphorylation sites to Glu and
observed that the Rab29[T71E,S72E] mutant failed to activate
LRRK2 (Fig 1B). This suggests that Rab29 phosphorylation may
decrease its ability to activate LRRK2. Rab29 activates LRRK2 In an attempt to mimic phosphorylation of 2 The EMBO Journal ª 2017 The Authors Elena Purlyte et al
Activation of LRRK2 by Rab29
Published online: December 6, 2017 Published online: December 6, 2017 Rab29 (HA)
WT D2017A R1441C R1441G R1441H Y1699C R1728H G2019S I2020T T2031S G2385R
Rab29-pT71
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
LRRK2-total
LRRK2-pS1292
R1441G R1441G
D2017A
Y1699C Y1699C
D2017A
G2019S G2019S
D2017A
25kDa
25kDa
25kDa
25kDa
250kD
250kD
A
B
enhanced GTP-binding
LRRK2
Rab29
D2017A = kinase inactive
Rab29
LRRK2 R1441G
25kDa
250kD
wt T71E S72E EE AA
250kD
Rab29 (HA)
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
LRRK2
LRRK2-pS1292
25kDa
25kDa
Figure 1. Rab29 activates LRRK2. A
Left: HEK293 cells were transfected with the indicated wild-type and human full-length pathogenic LRRK2 variants with either HA-empty vector () or HA-tagged
Rab29 (+). 24 h post-transfection, cells were lysed and analyzed by immunoblotting with the indicated antibodies. WT is wild-type and D2017A corresponds to the
kinase-inactive LRRK2 mutant. Similar results were obtained in two separate experiments. Right: As in left panel except that kinase-inactivating D2017A LRRK2
mutation was inserted into the indicated LRRK2 pathogenic mutant. Similar results were obtained in two independent experiments. B
As in (A) except that LRRK2[R1441G] pathogenic variant was co-transfected with wild-type and indicated mutants of Rab29. EE indicates Rab29[T71E,S72E] mutation
and AA indicates Rab29[T71A,S72A] mutation. Similar results were obtained in two separate experiments, each performed in duplicate. Elena Purlyte et al
Activation of LRRK2 by Rab29
The EMBO Journal
Published online: December 6, 2017 The EMBO Journal Rab29 (HA)
WT D2017A R1441C R1441G R1441H Y1699C R1728H G2019S I2020T T2031S G2385R
Rab29-pT71
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
LRRK2-total
LRRK2-pS1292
R1441G R1441G
D2017A
Y1699C Y1699C
D2017A
G2019S G2019S
D2017A
25kDa
25kDa
25kDa
25kDa
250kD
250kD
A
enhanced GTP-binding
LRRK2
Rab29
D2017A = kinase inactive A D2017A = kinase inactive B
Rab29
LRRK2 R1441G
25kDa
250kD
wt T71E S72E EE AA
250kD
Rab29 (HA)
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
LRRK2
LRRK2-pS1292
25kDa
25kDa B B
Rab29
LRRK2 R1441G
25kDa
250kD
wt T71E S72E EE AA
250kD
Rab29 (HA)
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
LRRK2
LRRK2-pS1292
25kDa
25kDa Figure 1. Rab29 activates LRRK2. Figure 1. Rab29 activates LRRK2. g
A
Left: HEK293 cells were transfected with the indicated wild-type and human full-length pathogenic LRRK2 variants with either HA-empty vector () or HA-tagged
Rab29 (+). 24 h post-transfection, cells were lysed and analyzed by immunoblotting with the indicated antibodies. Rab29 activates LRRK2 Others have
suggested that LRRK2 and various Rab proteins including Rab29 inter-
act, largely based on co-immunoprecipitation analysis, but binding
domains have not yet been pinpointed (Dodson et al, 2012; MacLeod
et al, 2013; Beilina et al, 2014; Waschbusch et al, 2014; Zhang et al,
2015). It has also been reported that Rab29 recruits LRRK2 to the Golgi
apparatus (MacLeod et al, 2013; Beilina et al, 2014). LRRK2 is constitutively phosphorylated at a cluster of Ser residues
lying between the ankyrin domain and leucine-rich repeat region
(Ser910, Ser935, Ser955 and Ser973) that plays a role in regulating
14-3-3 binding and cytosolic localization (Nichols et al, 2010; Doggett
et al, 2011). These sites have received a lot of attention as they are
controlled by LRRK2 kinase activity, and therefore become rapidly
dephosphorylated in response to diverse LRRK2 inhibitors (Dzamko
et al, 2010; Doggett et al, 2011). Monitoring the dephosphorylation of
these residues, especially Ser935, has become the principal biomarker
strategy to assess the in vivo efficacy of LRRK2 inhibitors (Hatcher
et al, 2017). Despite a lot of research, it is currently unclear how
LRRK2 kinase activity influences phosphorylation of these biomarker
sites. Autophosphorylation would be the simplest model to account
for the data obtained to date. However, autophosphorylation of the
biomarker residues has not been observed in in vitro studies under-
taken thus far, perhaps indicating a missing factor is required to stim-
ulate autophosphorylation of these sites (Dzamko et al, 2010). Other
kinases not known to be regulated by LRRK2 including CK1 (Chia
et al, 2014) and PKA (Muda et al, 2014) have also been reported to
phosphorylate these sites. In macrophages, the IkappaB kinase family
phosphorylates Ser910 and Ser935 sites independently from LRRK2
kinase activity (Dzamko et al, 2012). To test whether phosphorylation of Rab29 at Thr71 and Ser72 by
LRRK2 was required for activation of LRRK2, we mutated these sites
both to Ala. We found that the Rab29[T71A,S72A] mutant still acti-
vated LRRK2[R1441G] to the same extent as wild-type Rab29, indi-
cating that phosphorylation of Rab29 is not required for its ability to
activate LRRK2 (Fig 1B). ª 2017 The Authors The EMBO Journal Rab29 activates LRRK2 on Golgi membranes At steady state, LRRK2 is primarily cytosolic; approximately 10%
associates with membranes upon cell fractionation. The large pool 3 The EMBO Journal The EMBO Journal ª 2017 The Authors The EMBO Journal
Published online: December 6, 2017 Activation of LRRK2 by Rab29
Elena Purlyte et al Rab8
Rab10
Rab8
0
20
40
60
Co-localized puncta
near nucleus (percent)
D
Rab10
R1441G LRRK2
Rab8
R1441G LRRK2
**
****
the periphery and Rab8 near the nucleus. G-LRRK2 (red) and either GFP-Rab10 (A) or GFP-Rab8 (B) in green. Scale bar, 10 lm. The second row in
bove. Scale bar, 2 lm. ndicated Rab in the indicated cell regions was determined from a Mander’s coefficient after automatic
*P < 0.0001; **P = 0.0076 by Student’s unpaired, two-tailed t-test (n = 13 from two experiments). For
were generated (see A) that included the plasma membrane and excluded the nucleus. For perinuclear perinuclear, reticular structure (Fig 3B). This structure is
di
d
l i
l
i i
b
Co-localization of LRRK2 G2019S (Fig 3B) and R1441G proteins (see
i
b l
)
i h
b
d l i
hi h
b
Rab10
Rab8
0
20
40
60
80
Co-localized puncta
at cell periphery (percent)
Rab10
Rab8
0
20
40
60
Co-localized puncta
near nucleus (percent)
A
D
C
B
Rab10
R1441G LRRK2
Rab8
R1441G LRRK2
**
****
R1441G-LRRK2 co-localizes with Rab10 in the periphery and Rab8 near the nucleus. wn are HeLa cells stained for transfected R1441G-LRRK2 (red) and either GFP-Rab10 (A) or GFP-Rab8 (B) in green. Scale bar, 10 lm. The second row in both
els shows enlarged portions boxed in the rows above. Scale bar, 2 lm. ent co-localization of R1441G-LRRK2 with the indicated Rab in the indicated cell regions was determined from a Mander’s coefficient after automatic
sholding. Error bars represent mean SEM. ****P < 0.0001; **P = 0.0076 by Student’s unpaired, two-tailed t-test (n = 13 from two experiments). For
pheral quantitation, boxes of the size indicated were generated (see A) that included the plasma membrane and excluded the nucleus. For perinuclear
ntitation (see B), the boxes included half of the nucleus. A
Rab10
R1441G LRRK2 A B
Rab8
R1441G LRRK2 B Rab10
Rab8
0
20
40
60
80
Co-localized puncta
at cell periphery (percent)
C
**** Rab10
Rab8
0
20
40
60
Co-localized puncta
near nucleus (percent)
D
** C C D Figure 2. The EMBO Journal ª 2017 The Authors Rab29 activates LRRK2 on Golgi membranes R1441G-LRRK2 co-localizes with Rab10 in the periphery and Rab8 near the nucleus. A, B
Shown are HeLa cells stained for transfected R1441G-LRRK2 (red) and either GFP-Rab10 (A) or GFP-Rab8 (B) in green. Scale bar, 10 lm. The second row in both
panels shows enlarged portions boxed in the rows above. Scale bar, 2 lm. C, D
Percent co-localization of R1441G-LRRK2 with the indicated Rab in the indicated cell regions was determined from a Mander’s coefficient after automatic
thresholding. Error bars represent mean SEM. ****P < 0.0001; **P = 0.0076 by Student’s unpaired, two-tailed t-test (n = 13 from two experiments). For
peripheral quantitation, boxes of the size indicated were generated (see A) that included the plasma membrane and excluded the nucleus. For perinuclear
quantitation (see B), the boxes included half of the nucleus. Co-localization of LRRK2 G2019S (Fig 3B) and R1441G proteins (see
Fig 7H below) with Rab29 supports a model in which Rab29 can
activate
pathogenic
LRRK2
proteins
on
Rab29-containing
membranes. somewhat perinuclear, reticular structure (Fig 3B). This structure is
likely to represent a disrupted Golgi complex, as staining became
much more concentrated in the perinuclear region upon treatment
of cells with the MLI-2 LRRK2 kinase inhibitor (Fig 3C and D). 4 ª 2017 The Authors Published online: December 6, 2017 The EMBO Journal Elena Purlyte et al
Activation of LRRK2 by Rab29 +MLI2
LRRK2 G2019S
Rab29
Rab29
G2019S+Rab29
G2019S+Rab29
+MLI2
0
20
40
60
80
100
Cells with compact Rab29
staining (percent)
A
C
B
D
+MLI2
Rab29/p115
***
**
E
LRRK2 G2019S
Figure 3. Pathogenic LRRK2 mutants co-localize with Rab29 and
disperse Golgi membranes. HeLa cells were transfected with LRRK2-G2019S or Myc-Rab29 or LRRK2-G2019S
and 24 h later transfected with Myc-Rab29. After 48 h, cells were permeabilized
by liquid nitrogen freeze–thaw to deplete cytosol and then fixed and stained
with mouse anti-p115, mouse anti-Myc, and rabbit anti-GFP or rabbit anti-
LRRK2 antibodies. A
Myc-Rab29 (green) and p115 (red) show co-localization at the Golgi. Left
and right panels were treated with or without MLI2 (200 nM, 4 h) as
indicated. B
Myc-Rab29 (red) and eGFP-LRRK2-G2019S (green) show co-localization and
dispersed Rab29-labeled Golgi membranes. Rab29 activates LRRK2 on Golgi membranes C
C ll t
t d
ith MLI 2 (200
M 4 h) h
t R b29
iti A
+MLI2
Rab29/p115 +MLI2
LRRK2 G2019S
Rab29
A
C
B
+MLI2
Rab29/p115 A Disruption of the Golgi by pathogenic LRRK2 proteins has been
previously reported (MacLeod et al, 2013; Beilina et al, 2014), and
light microscopic analysis of the trans-Golgi network in mouse
embryonic fibroblasts (MEFs) (as monitored using anti-GCC185
antibodies) confirmed this finding (Fig 4A and C); MLI2 treatment
restored compact Golgi localization for GCC185-stained compart-
ments (compare Fig 4B and C right and left panels). Note that the
extent of Golgi fragmentation correlated with the relative kinase
activation of the LRRK2 mutant proteins. Together, these data show
that LRRK2 co-localizes with its substrates, Rab10 and Rab8, and
also co-localizes with an important key activator, Rab29 GTPase. +MLI2
LRRK2 G2019S
Rab29
C
B LRRK2 G2019S
Rab29
B B Rab29 activation of LRRK2 would be predicted to occur on
membrane surfaces harboring active Rab29 protein. To test this,
cells expressing Rab29 and R1441G LRRK2 were fractionated into
membrane and cytosol fractions and analyzed for their content of
total and activated LRRK2 protein, using anti-LRRK2 and anti-
pS1292 antibodies. Expression of Rab29 increased the amount of
total membrane-associated LRRK2 (Fig 5A and B) and also led to a
greater than threefold enrichment of activated, pS1292 LRRK2 on
membranes (Fig 5C). Similar data were obtained for G2019S-LRRK2
(see Fig 7 below). Note that about 10% of LRRK2-R1441G is also
detected in membrane fractions obtained from Rab29 knockout 293
T cells (Fig 5B). This Rab29-independent pool may represent associ-
ation of LRRK2 with another Rab GTPase such as Rab8A or Rab38,
or could represent R1441G LRRK2 aggregates. +MLI2
C C Ankyrin domain residues permit activation of LRRK2 by Rab29 Rab29
G2019S+Rab29
G2019S+Rab29
+MLI2
0
20
40
60
80
100
Cells with compact Rab29
staining (percent)
D
***
**
E
LRRK2 G2019S Rab29
G2019S+Rab29
G2019S+Rab29
+MLI2
0
20
40
60
80
100
Cells with compact Rab29
staining (percent)
D
***
** D D In an initial attempt to define the region of LRRK2 required for
Rab29 activation, we generated a truncation mutant of LRRK2 lack-
ing the N-terminal, 969 non-catalytic residues encompassing the
armadillo and ankyrin domains. Although this mutant is expressed
at lower levels than full-length LRRK2 in HEK293 cells, it was
clearly not activated by Rab29 overexpression (Fig 6A), indicating
that the Rab29 effector region lies within the LRRK2 N-terminal
fragment, which was also suggested in a previous study (Beilina
et al, 2014). Rab32 and Rab38, the Rab proteins most closely related to
Rab29, interact directly with the ankyrin domain of an effector
called
VARP
(VPS9-ankyrin
repeat
protein,
also
known
as
ANKRD27), a regulator of endosomal trafficking (Fukuda, 2016). The crystal structure of the VARP ankyrin domain/Rab32 complex
(PDB 4CYM) reveals a large interface of interacting residues, encom-
passing several clusters of adjacent Leu residues on VARP that make
hydrophobic interactions with Rab32 (Hesketh et al, 2014). Muta-
tion of these VARP ankyrin domain Leu residues decreased binding
to Rab32 (Hesketh et al, 2014). These studies prompted us to
explore whether the LRRK2 ankyrin domain might comprise the
Rab29 binding site. Inspection of the LRRK2 ankyrin domain reveals
that it possesses three Leu-rich motifs that are conserved in human,
chicken, Xenopus, Zebrafish, and Drosophila LRRK2, which we
termed Region A, B, and C (Fig 6B). We mutated representative Leu
residues within each of these regions to Asp, as this corresponds to
the mutations that were designed to prevent the interaction of VARP
with Rab32 (Hesketh et al, 2014). We studied how these mutations
impacted Rab29-mediated LRRK2 activation. This revealed that in
particular, Region A (Cys727Asp, Leu728Asp, and Leu729Asp)
mutations
strikingly
prevented
Rab29-mediated
activation
of Figure 3. Pathogenic LRRK2 mutants co-localize with Rab29 and
disperse Golgi membranes. HeLa cells were transfected with LRRK2-G2019S or Myc-Rab29 or LRRK2-G2019S
and 24 h later transfected with Myc-Rab29. After 48 h, cells were permeabilized
by liquid nitrogen freeze–thaw to deplete cytosol and then fixed and stained
with mouse anti-p115, mouse anti-Myc, and rabbit anti-GFP or rabbit anti-
LRRK2 antibodies. The EMBO Journal The EMBO Journal ª 2017 The Authors Ankyrin domain residues permit activation of LRRK2 by Rab29 Wild type
Wild type + MLI2
GCC185
A
B
R1441G
R1441G + MLI2 Wild type
Wild type + MLI2
GCC185
A Wild A B
R1441G
R1441G + MLI2 B R1441G
R1441G+MLI2
WT
WT+MLI2
0
20
40
60
80
100
Cells with compact
trans Golgi (percent)
C
*
Figure 4. LRRK2-R1441G expression disrupts Golgi morphology. A
Wild-type MEFs were stained with rabbit anti-GCC185 (green) and DAPI (blue); left and right panels were treated with or without MLI2 as indicated. B
Knock-in R1441G MEF cells MLI-2 (200 nM, 4 h) stained with rabbit anti-GCC185 antibody (green) and DAPI (blue). C
Quantitation of the percent of cells showing a compact trans-Golgi network as seen in (A). Error bars represent SEM from two experiments with > 50 cells per condition
in each experiment. *P = 0.0184 with Student’s unpaired, two-tailed t-test. Differences between WT, WT+MLI2, and R1441G+MLI2 were not significant (P > 0.5). Data information: Scale bars, 10 lm. R1441G
R1441G+MLI2
WT
WT+MLI2
0
20
40
60
80
100
Cells with compact
trans Golgi (percent)
C
* R1441G
R1441G+MLI2
WT
WT+MLI2
0
20
40
60
80
100
Cells with compact
trans Golgi (percent)
C
* R1441G
R1441G+MLI2
WT
WT+MLI2
0
20
40
60
80
100
Cells with compact
trans Golgi (percent)
C
* C Figure 4. LRRK2-R1441G expression disrupts Golgi morphology. g
p
p
g
p
gy
A
Wild-type MEFs were stained with rabbit anti-GCC185 (green) and DAPI (blue); left and right panels were treated with or without MLI2 as indicated. B
Knock-in R1441G MEF cells MLI-2 (200 nM, 4 h) stained with rabbit anti-GCC185 antibody (green) and DAPI (blue). C
Quantitation of the percent of cells showing a compact trans-Golgi network as seen in (A). Error bars represent SEM from two experiments with > 50 cells per condition
in each experiment. *P = 0.0184 with Student’s unpaired, two-tailed t-test. Differences between WT, WT+MLI2, and R1441G+MLI2 were not significant (P > 0.5). Data information: Scale bars, 10 lm. wild-type LRRK2 (Fig 6C) and LRRK2[R1441G] mutant (Fig 6D). These ankyrin domain mutations reduced basal levels of Ser1292
phosphorylation, consistent with these enzymes being less active
due to their inability to bind Rab29 (Fig 6C and D). Mutations in Region B and Region C also suppressed Rab29-stimulated Ser1292
autophosphorylation of wild-type LRRK2, further supporting a role
for the ankyrin repeat domain playing a critical role in controlling
LRRK2 activation (Fig 6C). Ankyrin domain residues permit activation of LRRK2 by Rab29 HeLa cells were transfected with LRRK2-G2019S or Myc-Rab29 or LRRK2-G2019S
and 24 h later transfected with Myc-Rab29. After 48 h, cells were permeabilized
by liquid nitrogen freeze–thaw to deplete cytosol and then fixed and stained
with mouse anti-p115, mouse anti-Myc, and rabbit anti-GFP or rabbit anti-
LRRK2 antibodies. A
Myc-Rab29 (green) and p115 (red) show co-localization at the Golgi. Left
and right panels were treated with or without MLI2 (200 nM, 4 h) as
indicated. B
Myc-Rab29 (red) and eGFP-LRRK2-G2019S (green) show co-localization and
dispersed Rab29-labeled Golgi membranes. C
Cells treated with MLI-2 (200 nM, 4 h) show compact, Rab29-positive
Golgi, and associated LRRK2-G2019S (green). D
Percent of cells with compact Rab29 staining; ***P = 0.0002;
**P = 0.002 with Student’s unpaired, two-tailed t-test. Error bars
represent SEM for three experiments with > 30 cells per condition in
each experiment. E
LRRK2-G2019S alone showing punctate staining throughout the cell. Data information: Scale bars, 10 lm. 5 The EMBO Journal ª 2017 The Authors The EMBO Journal
Published online: December 6, 2017 Activation of LRRK2 by Rab29
Elena Purlyte et al LRRK2 (Fig 6C) and LRRK2[R1441G] mutant (Fig 6D). kyrin domain mutations reduced basal levels of Ser1292
ylation, consistent with these enzymes being less active
Region B and Region C also suppressed Rab29-stimulated Ser1
autophosphorylation of wild-type LRRK2, further supporting a
for the ankyrin repeat domain playing a critical role in contro
Wild type
Wild type + MLI2
GCC185
R1441G
R1441G+MLI2
WT
WT+MLI2
0
20
40
60
80
100
Cells with compact
trans Golgi (percent)
A
C
B
R1441G
R1441G + MLI2
*
LRRK2-R1441G expression disrupts Golgi morphology. ype MEFs were stained with rabbit anti-GCC185 (green) and DAPI (blue); left and right panels were treated with or without MLI2 as indicated. -in R1441G MEF cells MLI-2 (200 nM, 4 h) stained with rabbit anti-GCC185 antibody (green) and DAPI (blue). itation of the percent of cells showing a compact trans-Golgi network as seen in (A). Error bars represent SEM from two experiments with > 50 cells per conditi
h experiment. *P = 0.0184 with Student’s unpaired, two-tailed t-test. Differences between WT, WT+MLI2, and R1441G+MLI2 were not significant (P > 0.5). rmation: Scale bars, 10 lm. Ankyrin domain residues permit activation of LRRK2 by Rab29 - MycRab29
25 -
Fraction total LRRK2
on membranes
Myc-Rab29: - +
B
p=.0025
0
0.1
0.2
Rab29KO
0.3
** Fraction total LRRK2
on membranes
Myc-Rab29: - +
B
p=.0025
0
0.1
0.2
Rab29KO
0.3
** B pS1292/Total
LRRK2(relative)
Rab29: - + - +
membrane cytosol
C
0
1
2
3
p=.00003
****
ns Ankyrin domain residues permit activation of LRRK2 by Rab29 6 ª 2017 The Authors ª 2017 The Authors Elena Purlyte et al
Activation of LRRK2 by Rab29
Published online: December 6, 2017 The EMBO Journal - pS1292
- tubulin
- MycRab29
- FLAG-LRRK2
R1441G
- LAMP2
250 -
25 -
50 -
100 -
250 -
membrane
cytosol
Myc-Rab29: - - + + - - + +
Fraction total LRRK2
on membranes
Myc-Rab29: - +
A
B
pS1292/Total
LRRK2(relative)
Rab29: - + - +
membrane cytosol
C
0
1
2
3
p=.0025
p=.00003
0
0.1
0.2
Rab29KO
0.3
**
****
ns
Figure 5. Rab29 increases membrane association of LRRK2-R1441G. HEK293T Rab29/ (KO) and WT cells were transfected with LRRK2-R1441G and
24 h later transfected with Myc Rab29 After 48 h cells were harvested and - pS1292
- tubulin
- MycRab29
- FLAG-LRRK2
R1441G
- LAMP2
250 -
25 -
50 -
100 -
250 -
membrane
cytosol
Myc-Rab29: - - + + - - + +
A A experiments demonstrated that the Region A mutations (Cys727Asp,
Leu728Asp, and Leu729Asp) inhibited LRRK2 kinase activity toward
Nictide and Rab8A by four- to fivefold (Fig 6E and F). At the end of
in vitro kinase assays, we also assessed LRRK2 autophosphorylation
at Ser1292 by immunoblot, which also revealed that Region A muta-
tions also substantially inhibit autophosphorylation (Fig 6E and F). The crystal structure of the VARP:Rab32 complex reveals that
Rab32 binding to the VARP ankyrin domain is controlled by two
conserved Met91 and Arg93 residues that lie within the Rab32
effector-binding switch II motif (Hesketh et al, 2014). Mutation of
these residues to Ser abolished VARP binding (Hesketh et al, 2014). Interestingly, Rab29, Rab32, and Rab38 are the only Rab proteins
that possess Met and Arg residues at the equivalent positions within
their effector-binding loops (Fig EV3A), perhaps suggesting that this
family of Rab proteins binds ankyrin domains via a common mecha-
nism. Although we found mutation of equivalent residues in Rab29
(Met73 and Arg75) prevented activation of LRRK2 (Fig EV3B), the
Rab29[M73S, R75S] mutant was localized in the cytosol, indicating
that these mutations likely disrupt Rab29 nucleotide binding and
C-terminal prenylation and should not be employed in future studies
(Fig EV3C). ª 2017 The Authors The EMBO Journal Ankyrin domain residues influence LRRK2 membrane association
and Rab29 co-localization C If the ankyrin domain is important for Rab GTPase interaction, it
would be predicted to be important for LRRK2 membrane associa-
tion. To test this, cells expressing LRRK2 R1441G or LRRK2 R1441G
protein also carrying Region A mutations were fractionated and
analyzed for their content of membrane-associated LRRK2 protein by
immunoblot. As shown in Fig 7A, approximately 10% of total
R1441G LRRK2 was detected on membranes; the individual L728D
or L729D LRRK2 proteins showed only a slight decrease in overall
membrane association, and the L728D/L729D mutant protein led to
a 60% decrease in membrane association determined by this method
(Fig 7B). In addition, the ankyrin domain mutants failed to respond
to Rab29 co-expression in terms of their activation on membranes,
as monitored using anti-LRRK2 pS1292 antibodies (Fig 7C, E and F)
or cytosol (Fig 7D); Rab29 overexpression enhanced the membrane
association
of
total
(Fig 7E)
and
pS1292-LRRK2
(Fig 7F)
on
membranes. Further support for the importance of ankyrin domain
sequences in Rab29 interaction comes from light microscopy experi-
ments, in which R1441G LRRK2 ankyrin domain mutant proteins
showed significantly less co-localization with Rab29 upon expres-
sion in HeLa cells (Fig 7G and H). R1441G LRRK2 staining was much
more punctate than that seen for G2019S (compare with Fig 3E);
40% of R1441G LRRK2 punctae co-localized with Rab29, and most
Rab29 remained associated with a disrupted Golgi complex (Fig 7G
and H). Importantly, R1441G L728D/L729D failed to disrupt the
Golgi (Fig 7I), consistent with the requirement for Rab29 interaction
to mediate this process. These experiments support a model in which
ankyrin domain residues are important for Rab29 interaction, LRRK2
kinase activation, and Golgi complex disruption. Figure 6.
Ankyrin domain residues permit activation of LRRK2 by Rab29. Similar results were obtained in two experiments. E
As in (C) except that the indicated forms of LRRK2 were immunoprecipitated from cell extracts and then subjected to an LRRK2 kinase activity by measuring
phosphorylation of the Nictide peptide substrate in the presence of 0.2 mM 32PcATP and in the absence () or presence (+) of 1 lM MLi-2 LRRK2 in a 30-min
kinase reaction. After the kinase assay, phosphorylation of Nictide was quantified by Cherenkov counts and data presented as average SEM for three
independent experiments each undertaken in triplicate. Cherenkov counts recorded for no LRRK2 (-) controls were subtracted from all values. There was a
statistically significant difference between groups (P < 0.0001, one-way ANOVA, F(9, 20) = 95.87) ***P < 0.001 by one-way ANOVA with Dunnett’s multiple
comparison with mean difference 95% confidence intervals of groups compared to WT: WT MLI-2 0.8668–1.126; C727D 0.7428–1.002; C727D MLI-2 0.8731–1.132;
L728D 0.7602–1.019; L728D MLI-2 0.8559–1.115; L729D 0.7570–1.016, L729D MLI-2 0.8708–1.130, L728D+L729D 0.7466–1.006; L728D+L729D MLI-2 0.8655–1.124. Assay mixtures were subjected to immunoblot analysis with the indicated antibodies. E
As in (C) except that the indicated forms of LRRK2 were immunoprecipitated from cell extracts and then subjected to an LRRK2 kinase activity by measuring
phosphorylation of the Nictide peptide substrate in the presence of 0.2 mM 32PcATP and in the absence () or presence (+) of 1 lM MLi-2 LRRK2 in a 30-min
kinase reaction. After the kinase assay, phosphorylation of Nictide was quantified by Cherenkov counts and data presented as average SEM for three
independent experiments each undertaken in triplicate. Cherenkov counts recorded for no LRRK2 (-) controls were subtracted from all values. There was a
statistically significant difference between groups (P < 0.0001, one-way ANOVA, F(9, 20) = 95.87) ***P < 0.001 by one-way ANOVA with Dunnett’s multiple
comparison with mean difference 95% confidence intervals of groups compared to WT: WT MLI-2 0.8668–1.126; C727D 0.7428–1.002; C727D MLI-2 0.8731–1.132;
L728D 0.7602–1.019; L728D MLI-2 0.8559–1.115; L729D 0.7570–1.016, L729D MLI-2 0.8708–1.130, L728D+L729D 0.7466–1.006; L728D+L729D MLI-2 0.8655–1.124. Assay mixtures were subjected to immunoblot analysis with the indicated antibodies. F
As in (E) except phosphorylation of Rab8A by LRRK2 was assessed using a phospho-specific antibody. Similar results were obtained in two experiments each
undertaken in duplicate. horylation of Rab8A by LRRK2 was assessed using a phospho-specific antibody. Similar results were obtained in two experiments each
e. Source data are available online for this figure. Figure 5.
Rab29 increases membrane association of LRRK2-R1441G. Figure 5. Rab29 increases membrane association of LRRK2-R1441G. Figure 5. Rab29 increases membrane association of LRRK2-R1441G. HEK293T Rab29/ (KO) and WT cells were transfected with LRRK2-R1441G and
24 h later transfected with Myc-Rab29. After 48 h, cells were harvested and
fractionated into cytosol and membrane fractions. Figure 5. Rab29 increases membrane association of LRRK2-R1441G. HEK293T Rab29/ (KO) and WT cells were transfected with LRRK2-R1441G and
24 h later transfected with Myc-Rab29. After 48 h, cells were harvested and
fractionated into cytosol and membrane fractions. HEK293T Rab29/ (KO) and WT cells were transfected with LRRK2-R1441G and
24 h later transfected with Myc-Rab29. After 48 h, cells were harvested and
fractionated into cytosol and membrane fractions. A
Immunoblot of membrane protein (75 lg) and the 50% of equivalent
volume of cytosolic proteins, Rab29 as indicated. Numbers at left indicate
mobility of marker proteins in kDa; proteins were detected with rabbit anti-
pS1292, rabbit anti-LRRK2 UDD3, mouse anti-LRRK2, mouse anti-LAMP2,
mouse anti-tubulin, and mouse anti-Myc antibodies. B
Quantitation of the fraction of total LRRK2-R1441G on
membranes Rab29 (transfected and endogenous). B
Quantitation of the fraction of total LRRK2-R1441G on membranes Rab29 (transfected and endogenous). C
Amount of active (pS1292) LRRK2 in membrane and cytosol fractions
Rab29 expression normalized to the amount of total LRRK2 in the fraction. Data information: Error bars represent SEM from two experiments. **P = 0.0025;
****P = 0.00013; ns = not significant (P = 0.1968) by Student’s unpaired, two-
tailed t-test. Differences between Rab29 KO and (minus) Myc-Rab29 are not
significant. Source data are available online for this figure. To study further how Rab29 binding controls LRRK2, we immuno-
precipitated wild-type LRRK2 and Region A mutations from HEK293
cells and assayed kinase activity employing the Nictide peptide
substrate (Dzamko et al, 2010) (Fig 6E) or recombinant Rab8A
(Steger et al, 2016) (Fig 6F). Assays were undertaken in the presence
or absence of the MLi-2 LRRK2 inhibitor to ensure activity measured
was mediated by LRRK2 rather than a contaminating kinase. These Ankyrin domain mutant proteins showed decreased overall
kinase activity, and the protein was somewhat less stable in cells, as
determined by monitoring its turnover after cycloheximide addition
(Fig 7J). Loss of a binding partner interaction often leads to
decreased protein stability. Figure 5.
Rab29 increases membrane association of LRRK2-R1441G. Rab29
Rab32
A
B
LRRK2-total
LRRK2-pS1292
Rab29-pT71
Rab29-total (HA)
FL
970-end
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
FL
970-end
FL
970-end
FL
970-end
FL
970-end
FL
970-end
25kDa
25kDa
25kDa
25kDa
C
Rab29
LRRK2
D2017A
WT
R1441G
Y1699C
LRRK2
Rab29
B
A
C 250kDa
250kDa
25kDa
25kDa
50kDa
- - + + - - + + - - + + - - + + - - + + - - + +
LRRK2-pS1292
LRRK2-total
Rab29-total (HA)
tubulin
Rab29-pT71
WT
C727D+
R1441G
L728D+
R1441G
L729D+
R1441G
R1441G
R1441G
+ KD
25kDa
25kDa
Rab10-pT73
(endogenous)
Rab10-total
(endogenous)
D
)
LRRK2
Rab29 A
LRRK2-total
LRRK2-pS1292
Rab29-pT71
Rab29-total (HA)
FL
970-end
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
FL
970-end
FL
970-end
FL
970-end
FL
970-end
FL
970-end
25kDa
25kDa
25kDa
25kDa
Rab29
LRRK2
D2017A
WT
R1441G
Y1699C D A 50kDa
tubulin
Rab8A-total
LRRK2-total
LRRK2-pS1292
Rab8A-pT72
LRRK2
WT C727D L728D L729D
MLi-2
L728D+
L729D
F
E
MLi-2
LRRK2
WT C727D
L728D
L729D L728D+
L729D
IP: LRRK2
IB: LRRK2
IP: LRRK2
IB: LRRK2-pS1292
LRRK2 Kinase Activity
(Relative to wild-type)
***
***
***
*** E
MLi-2
LRRK2
WT C727D
L728D
L729D L728D+
L729D
IP: LRRK2
IB: LRRK2
IP: LRRK2
IB: LRRK2-pS1292
LRRK2 Kinase Activity
(Relative to wild-type)
***
***
***
*** E 250kDa
250kDa
25kDa
25kDa
- + - + - + - + - + - + - + - + - + - +
LRRK2-pS1292
LRRK2-total
Rab29-total (HA)
tubulin
Rab29-pT71
WT
50kDa
KD
L728D
L729D
L760D
L761D
L762D
L789D
L790D
L791D
Region
25kDa
25kDa
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
Region A:
L728D, L729D
Region B:
L760D, L761D, L762D
Region C:
L789D, L790D, L791D
LRRK2:
Human
Chicken
Xenopus
Zebrafish
Drosophila
EC LL LLG
EC LL LLG
AE LL LLG
EC LI QLG
QS LL QHG
VE LLL NS
VE LLL AN
VE LLL NN
LE LLV SS
LD LLL KH
IS LLL RR
IS LLL KK
IS LLL KK
VT LIL RR
LS RLL AR
ANK
LL
ANK
VARP
LRRK2 ? Rab29
Rab32
B
C
LRRK2
Rab29
B
A
C B C Rab8A-total
LRRK2-total
LRRK2-pS1292
Rab8A-pT72
LRRK2
WT C727D L728D L729D
MLi-2
L728D+
L729D
F F F Figure 5.
Rab29 increases membrane association of LRRK2-R1441G. 7 The EMBO Journal The EMBO Journal
Published online: December 6, 2017 Activation of LRRK2 by Rab29
Elena Purlyte et al The EMBO Journal 250kDa
250kDa
25kDa
25kDa
- + - + - + - + - + - + - + - + - + - +
LRRK2-pS1292
LRRK2-total
Rab29-total (HA)
tubulin
Rab29-pT71
WT
50kDa
KD
L728D
L729D
L760D
L761D
L762D
L789D
L790D
L791D
Region
25kDa
25kDa
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
Region A:
L728D, L729D
Region B:
L760D, L761D, L762D
Region C:
L789D, L790D, L791D
LRRK2:
Human
Chicken
Xenopus
Zebrafish
Drosophila
EC LL LLG
EC LL LLG
AE LL LLG
EC LI QLG
QS LL QHG
VE LLL NS
VE LLL AN
VE LLL NN
LE LLV SS
LD LLL KH
IS LLL RR
IS LLL KK
IS LLL KK
VT LIL RR
LS RLL AR
ANK
LL
ANK
VARP
LRRK2 ? Figure 5.
Rab29 increases membrane association of LRRK2-R1441G. Rab29
Rab32
A
B
250kDa
250kDa
25kDa
25kDa
50kDa
- - + + - - + + - - + + - - + + - - + + - - + +
LRRK2-pS1292
LRRK2-total
Rab29-total (HA)
tubulin
Rab29-pT71
WT
C727D+
R1441G
L728D+
R1441G
L729D+
R1441G
R1441G
R1441G
+ KD
25kDa
25kDa
Rab10-pT73
(endogenous)
Rab10-total
(endogenous)
D
LRRK2-total
LRRK2-pS1292
Rab29-pT71
Rab29-total (HA)
FL
970-end
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
FL
970-end
FL
970-end
FL
970-end
FL
970-end
FL
970-end
25kDa
25kDa
25kDa
25kDa
C
Rab8A-total
LRRK2-total
LRRK2-pS1292
Rab8A-pT72
LRRK2
WT C727D L728D L729D
MLi-2
L728D+
L729D
F
E
MLi-2
LRRK2
WT C727D
L728D
L729D L728D+
L729D
LRRK2
Rab29
Rab29
LRRK2
D2017A
WT
R1441G
Y1699C
LRRK2
Rab29
B
A
C
IP: LRRK2
IB: LRRK2
IP: LRRK2
IB: LRRK2-pS1292
LRRK2 Kinase Activity
(Relative to wild-type)
***
***
***
***
Figure 6
Ankyrin domain residues permit activation of LRRK2 by Rab29 250kDa
250kDa
25kDa
25kDa
- + - + - + - + - + - + - + - + - + - +
LRRK2-pS1292
LRRK2-total
Rab29-total (HA)
tubulin
Rab29-pT71
WT
50kDa
KD
L728D
L729D
L760D
L761D
L762D
L789D
L790D
L791D
Region
25kDa
25kDa
Rab10-pT73 (endogenous)
Rab10-total (endogenous)
Region A:
L728D, L729D
Region B:
L760D, L761D, L762D
Region C:
L789D, L790D, L791D
LRRK2:
Human
Chicken
Xenopus
Zebrafish
Drosophila
EC LL LLG
EC LL LLG
AE LL LLG
EC LI QLG
QS LL QHG
VE LLL NS
VE LLL AN
VE LLL NN
LE LLV SS
LD LLL KH
IS LLL RR
IS LLL KK
IS LLL KK
VT LIL RR
LS RLL AR
ANK
LL
ANK
VARP
LRRK2 ? Figure 6.
Ankyrin domain residues permit activation of LRRK2 by Rab29. A
HEK293 cells were transfected with the indicated wild-type human full length (FL) or a fragment lacking the N-terminal 969 residues (LRRK2[residues 970-end])
pathogenic LRRK2 variants with either HA-empty vector () or HA-tagged Rab29 (+). 24 h post-transfection, cells were lysed and analyzed by immunoblotting with
the indicated antibodies. WT is wild-type and D2017A corresponds to the kinase-inactive LRRK2 mutant. Similar results were obtained in two independent
experiments, each performed in duplicate. A
HEK293 cells were transfected with the indicated wild-type human full length (FL) or a fragment lacking the N-terminal 969 residues (LRRK2[residues 970-end])
pathogenic LRRK2 variants with either HA-empty vector () or HA-tagged Rab29 (+). 24 h post-transfection, cells were lysed and analyzed by immunoblotting with
the indicated antibodies. WT is wild-type and D2017A corresponds to the kinase-inactive LRRK2 mutant. Similar results were obtained in two independent
experiments, each performed in duplicate. p
p
p
B
Upper panel: Schematic representation of how Rab29 might interact with the ankyrin domain (ANK) of LRRK2 by analogy with how Rab32 binds VARP. Lower panel:
Sequence alignments of the three Leu-rich regions in the ankyrin domain of LRRK2 in the indicated species. B
Upper panel: Schematic representation of how Rab29 might interact with the ankyrin domain (ANK) of LRRK2 by analogy
Sequence alignments of the three Leu-rich regions in the ankyrin domain of LRRK2 in the indicated species. B
Upper panel: Schematic representation of how Rab29 might interact with the ankyrin domain (ANK) of LRRK2 by analogy with how Rab32 binds VARP. Lower panel
Sequence alignments of the three Leu-rich regions in the ankyrin domain of LRRK2 in the indicated species. C, D
As in (A) except that HEK293 cells were transfected with the wild type and indicated LRRK2 ankyrin domain mutations with either HA-empty vector () or HA-
tagged Rab29 (+) KD is the Kinase Dead LRRK2[D2017A] mutant Similar results were obtained in two experiments q
g
g
y
p
C, D
As in (A) except that HEK293 cells were transfected with the wild type and indicated LRRK2 ankyrin domain mutations with either HA-empty vector () or HA-
tagged Rab29 (+). KD is the Kinase Dead LRRK2[D2017A] mutant. Similar results were obtained in two experiments. q
g
g
y
p
C, D
As in (A) except that HEK293 cells were transfected with the wild type and indicated LRRK2 ankyrin domain mutation
tagged Rab29 (+). KD is the Kinase Dead LRRK2[D2017A] mutant. Figure 7.
Membrane association of ankyrin domain mutant LRRK2 proteins. mutations (Cys727Asp, Leu728Asp and Leu729Asp) that disrupt
Rab29-mediated activation of LRRK2 tested blocked phosphorylation
of LRRK2 at Ser910, Ser935, Ser955, and Ser973 (Fig 8A). Rab29 knockout decreases endogenous LRRK2 activity and
biomarker site phosphorylation We generated two independent Rab29 knockout A549 cell lines
employing a CRISPR/CAS9 approach (Fig 8B). Rab29 knockout mark-
edly inhibited LRRK2-mediated phosphorylation of endogenous Rab10
by around twofold, measured with two different phospho-Rab10
monoclonal antibodies (Fig 8B). Consistent with Rab29 controlling
biomarker phosphorylation sites, knockout of Rab29 moderately
reduced LRRK2 phosphorylation at Ser935 and Ser973 (Fig 8B). We
were unable to detect phosphorylation of endogenous LRRK2 at
Ser1292 in these cells with available antibodies possibly due to low
stoichiometry of phosphorylation of wild-type LRRK2 in these cells. GTP binding to LRRK2 is required for Rab29-mediated activation
of LRRK2 To further study the role that LRRK2 GTP binding might play in
controlling Rab29-mediated activation and biomarker phosphoryla-
tion, we employed the well-characterized LRRK2 T1348N mutation
that blocks GTP binding (Ito et al, 2007; Taymans et al, 2011). Introduction of the T1348N mutation into wild-type, R1441G,
Y1699C, and G2019S LRRK2 completely inhibited Ser1292 autophos-
phorylation, as well as Rab10 phosphorylation that was induced
following overexpression of Rab29 (Fig 9A). Consistent with a
previous report (Doggett et al, 2011), we also confirm that the
T1348N
mutation
ablates
phosphorylation
of
LRRK2
at
the
biomarker sites (Fig 9A). We also find that in endogenous homozy-
gous
LRRK2[T1348N]
knock-in
MEFs,
although
the
mutation
decreases LRRK2 expression, Rab10 phosphorylation and biomarker
site phosphorylation are clearly abolished (Fig 9B). Evidence that Rab29 may regulate phosphorylation of LRRK2
biomarker sites by LRRK2 kinase activity, as these residues become dephosphory-
lated following administration of LRRK2 inhibitors (Dzamko et al,
2010; Nichols et al, 2010; Doggett et al, 2011). We studied whether
ankyrin domain mutations that prevent Rab29 from activating LRRK2
influence phosphorylation of these sites. Strikingly, all Region A LRRK2 possesses a cluster of well-studied, constitutively phosphory-
lated residues (Ser910, Ser935, Ser955 and Ser973) that are controlled 8 ª 2017 The Authors The EMBO Journal Elena Purlyte et al
Activation of LRRK2 by Rab29
Published online: December 6, 2017 Elena Purlyte et al
Activation of LRRK2 by Rab29
Published online: December 6, 2017 The EMBO Journal Figure 7.
Membrane association of ankyrin domain mutant LRRK2 proteins. I
Quantitation of cells with compact Rab29 morphology; error bars represent SEM of three experiments with > 20 cells per experiment. **P = 0.0011 for R1441G
alone compared with Rab29 alone; **P = 0.0049 for R1441G-L728/L729D. Differences between R1441G-LRRK2-L728/729D + Rab29 and Rab29 alone were not
significant (P > 0.5). H
Light microscopy of HeLa cells transfected as in Fig 3 with LRRK2-R11441G or LRRK2-R1441G+L728D/L729D (red) and Rab29 (green). LRRK2-R1441G (red) co-
localization on distinct Rab29 (green)-positive puncta representing dispersed Golgi membranes requires ankyrin domain sequences. Scale bar, 2 lm. I
Quantitation of cells with compact Rab29 morphology; error bars represent SEM of three experiments with > 20 cells per experiment. **P = 0.0011 for R1441G
alone compared with Rab29 alone; **P = 0.0049 for R1441G-L728/L729D. Differences between R1441G-LRRK2-L728/729D + Rab29 and Rab29 alone were not
significant (P > 0.5). J
Quantitation of the relative stability of LRRK2 R1441G protein (blue) in comparison with its ankyrin domain mutated form (red) in HEK293T cells transfected with
LRRK2 R1441G or R1441G-LRRK2-L728/729D. After 24 h, cells were treated with 50 lg/ml cycloheximide for 0, 3, or 6 h. Error bars represent SEM from three
combined experiments carried out in duplicate. Source data are available online for this figure. microtubule association is enhanced upon LRRK2 inhibitor addi-
tion, a condition that is documented to enhance LRRK2 turnover
(Blanca Ramirez et al, 2017). Using low LRRK2 expression levels
and gentle release of cytosol with liquid nitrogen treatment, we
have never seen microtubule association for LRRK2 G2019S or
R1441G proteins. However, certain mutants appear to form what
appear to be non-specific aggregates, including T1348N (Fig 9C). We believe these structures represent concentration-dependent
“aggresomes” that are microtubule-associated protein aggregates—
a finding that would be consistent with the previous microtubule
association seen by others. Consistent with the inability of Rab29
to activate LRRK2 T1348N, co-expression with Rab29 did not
increase the amount of membrane-associated LRRK2 T1348N, as
determined by cell fractionation (Fig 9D). Note that the centrifuga-
tion protocol employed may pellet some LRRK2 T1348N protein
aggregates that may also be present in the “membrane” fraction;
nevertheless, the amount present in the fraction (16% of total
LRRK2 protein) was unchanged upon Rab29 co-expression. Even
though this mutant forms aggresomes, the 84% of the molecules
that remain in the cytosol do not appear to be recruited to the
Golgi by Rab29 GTPase (Fig 9D). ª 2017 The Authors The EMBO Journal Figure 7.
Membrane association of ankyrin domain mutant LRRK2 proteins. 1G LRRK2 in membrane (top two rows) or cytosol (bottom two rows) fractions after 48-h expression in HEK293T cells. TfR (transferrin
oading controls are included. A
Immunoblots of R1441G LRRK2 in membrane (top two A
Immunoblots of R1441G LRRK2 in membrane (top two rows) or cytosol (bottom two rows) fractions after 48-h expression in H
receptor) and tubulin loading controls are included. B
Relative membrane association of the constructs analyzed in (A). Error bars represent SEM from duplicate samples of a representative experiment. **P = 0.001 B
Relative membrane association of the constructs analyzed in (A). Error bars represent SEM from duplicate samples of a rep
using Student’s unpaired t-test. Differences between WT and single mutations in ankyrin domain were not significant. C, D
Membrane and cytosol fractionation of extracts from cells expressing G2019S LRRK2 or its derived ankyrin domain mutant B
Relative membrane association of the constructs analyzed in (A). Error bars represent SEM from duplicate samples of a representative experiment. **P = 0.001
i
St d
t’
i
d t t
t Diff
b t
WT
d i
l
t ti
i
k
i
d
i
t i
ifi
t B
Relative membrane association of the constructs analyzed in (A). Error bars represent SEM from duplicate samples of a representative experiment. **P = 0.0
using Student’s unpaired t-test. Differences between WT and single mutations in ankyrin domain were not significant. C D
Membrane and cytosol fractionation of extracts from cells expressing G2019S LRRK2 or its derived ankyrin domain mutant forms Rab29 as in Fig 5 E, F
Quantitation of the relative membrane association of each construct, normalized for total LRRK2 expression. Error bars indicate SEM from duplicate
determinations. ns = not significant, P > 0.05; (E) **P = 0.003; (F) **P = 0.0086 by Student’s unpaired two-tailed t-test. G
Quantitation of the fraction of the indicated LRRK2 proteins that co-localize with Rab29. Co-localization was measured using Mander’s coefficient after automatic
thresholding in FIJI. Error bars represent SEM from two experiments (15 cells); ***P = 0.0002 by Student’s unpaired t-test. Scale bar, 2 lm. H
Light microscopy of HeLa cells transfected as in Fig 3 with LRRK2-R11441G or LRRK2-R1441G+L728D/L729D (red) and Rab29 (green). LRRK2-R1441G (red) co-
localization on distinct Rab29 (green)-positive puncta representing dispersed Golgi membranes requires ankyrin domain sequences. Scale bar, 2 lm. Discussion However, in cel
R1441G
R1441G-L728D
R1441G-L729D
R1441G-
L728/729D
0
20
40
60
Membrane Associat
250 -
25 -
100 -
250 -
Rab29: - - + + - - + +
- pS1292 -
tubulin -
- MycRab29
- LRRK2 -
- LAMP2
G2019S G2019S L728/729D
Rab29: - - + + - - + +
G2019S G2019S L728/729D
membrane
cytosol
- tubulin
- LRRK2
R1441G
R1441G
- TfR
250 -
50 -
100 -
cytosol membra
C
D
G2019S
G2019S+Rab29
G2019S-L728/729D
G2019S-L728/729D
+Rab29
0.0
0.5
1.0
1.5
2.0
Membrane LRRK2
(relative)
G2019S
G2019S+Rab29
G2019S-L728/729D
G2019S-L728/729D
+Rab29
0.0
0.5
1.0
1.5
2.0
2.5
3.0
Membrane pS1292
LRRK2 (relative)
F
E
R1441G
R1441G +
L728D/L729D
0
0.2
0.4
0.6
Fraction of LRRK2
colocalizing with Rab29
G
H
0
2
4
6
0
0.5
1.0
LRRK2 (normalized)
cycloheximide chase (hr)
R1441G
+ L728D/L729D
LRRK2 R1441G
**
**
ns
ns
***
LRRK2 R1441G
R1441G
+ L728D/L729D
Rab29
Rab29
Rab29
R1441G
0
20
40
60
80
100
Cells with compact Rab29
staining (percent)
R1441G-
L728/729D
I
J
** **
e 7. Discussion We have shown here that in addition to comprising an LRRK2
substrate, Rab29 operates as a master upstream regulator of LRRK2,
controlling Golgi localization, kinase activity, and potentially N-
terminal biomarker phosphorylation (Fig 10). We also demonstrate
that pathogenic mutations such as R1441G/C or Y1699C that
enhance GTP binding to the ROC domain are recruited to the Golgi
apparatus and activated more efficiently than wild-type LRRK2. These observations are consistent with previous studies that have
suggested that LRRK2 and Rab29 operate as part of a common
signaling pathway (Dodson et al, 2012; MacLeod et al, 2013;
Pihlstrom et al, 2015; Zhang et al, 2015; Kuwahara et al, 2016). Our
work also reveals an intriguing interplay between Rab proteins and
the LRRK2 kinase that also possesses a Rab-like GTPase domain. Discussion Our data are consistent with a model in which GTP binding to Hilfiker and colleagues have recently analyzed the localization
of a large set of LRRK2 mutant proteins and found that in about
20% of cells expressing certain mutant forms (but not wild type
or
G2019S),
LRRK2
appears
to
associate
with
microtubules; 9 The EMBO Journal The EMBO Journal
Published online: December 6, 2017 ublished online: December 6, 2017 Activation of LRRK2 by Rab29
Elena Purlyte et al The EMBO Journal R1441G
R1441G-L728D
R1441G-L729D
R1441G-
L728/729D
0
20
40
60
80
100
Membrane Associated LRRK2
250 -
25 -
100 -
250 -
Rab29: - - + + - - + +
- pS1292 -
tubulin -
- MycRab29
- LRRK2 -
- LAMP2
G2019S G2019S L728/729D
Rab29: - - + + - - + +
G2019S G2019S L728/729D
membrane
cytosol
WT L728D L729D L728/L729D
- tubulin
- LRRK2
R1441G
- LRRK2
R1441G
- TfR
250 -
50 -
100 -
250 -
cytosol membrane
A
B
C
D
G2019S
G2019S+Rab29
G2019S-L728/729D
G2019S-L728/729D
+Rab29
0.0
0.5
1.0
1.5
2.0
Membrane LRRK2
(relative)
G2019S
G2019S+Rab29
G2019S-L728/729D
G2019S-L728/729D
+Rab29
0.0
0.5
1.0
1.5
2.0
2.5
3.0
Membrane pS1292
LRRK2 (relative)
F
E
R1441G
R1441G +
L728D/L729D
0
0.2
0.4
0.6
Fraction of LRRK2
colocalizing with Rab29
G
H
0.5
1.0
RK2 (normalized)
R1441G
+ L728D/L729
LRRK2 R1441G
**
**
ns
ns
***
**
LRRK2 R1441G
R1441G
+ L728D/L729D
Rab29
Rab29
20
40
60
80
100
with compact Rab29
taining (percent)
I
J
** ** WT L728D L729D L728/L729D
- tubulin
- LRRK2
R1441G
- LRRK2
R1441G
- TfR
250 -
50 -
100 -
250 -
cytosol membrane
A
B R1441G
R1441G-L728D
R1441G-L729D
R1441G-
L728/729D
0
20
40
60
80
100
Membrane Associated LRRK2
B
** B A K2’s ROC domain promotes Rab29 activation of LRRK2. Once
ated, LRRK2 kinase phosphorylates and influences the function
series of other downstream Rab proteins (Steger et al, 2016,
). It was previously unclear how the LRRK2[R1441G/C] and LRR
[Y1699C] variants activated LRRK2, as these mutants possess simi
kinase activity as wild-type LRRK2 in in vitro experiments (Jale
et al, 2007; Nichols et al, 2010; Steger et al, 2016). Discussion R1441G
R1441G-L728D
R1441G-L729D
R1441G-
L728/729D
0
20
40
Membrane Asso
250 -
25 -
100 -
250 -
Rab29: - - + + - - + +
- pS1292 -
tubulin -
- MycRab29
- LRRK2 -
- LAMP2
G2019S G2019S L728/729D
Rab29: - - + + - - + +
G2019S G2019S L728/729D
membrane
cytosol
- tubulin
- LRRK2
R1441G
- TfR
250 -
50 -
100 -
cytosol mem
C
D R1
R1
250 -
25 -
100 -
250 -
Rab29: - - + + - - + +
- pS1292 -
tubulin -
- MycRab29
- LRRK2 -
- LAMP2
G2019S G2019S L728/729D
Rab29: - - + + - - + +
G2019S G2019S L728/729D
membrane
cytosol
C
D 250 -
25 -
100 -
250 -
Rab29: - - + + - - + +
- pS
- Myc
- LR
- LAM
G2019S G2019S L728/729D
membrane
C 1292 -
tubulin -
Rab29
RK2 -
P2
Rab29: - - + + - - + +
G2019S G2019S L728/729D
cytosol
D D C G2019S
G2019S+Rab29
G2019S-L728/729D
G2019S-L728/729D
+Rab29
0.0
0.5
1.0
1.5
2.0
Membrane LRRK2
(relative)
G2019S
G2019S+Rab29
G2019S-L728/729D
G2019S-L728/729D
+Rab29
0.0
0.5
1.0
1.5
2.0
2.5
3.0
Membrane pS1292
LRRK2 (relative)
F
E
R1441G
R1441G +
L728D/L729D
0
0.2
0.4
0.6
Fraction of LRRK2
colocalizing with Rab29
G
**
**
ns
ns
*** 9D
R1441G
R1441G +
L728D/L729D
0
0.2
0.4
0.6
Fraction of LRRK2
colocalizing with Rab29
G
*** G F E LRRK2’s ROC domain promotes Rab29 activation of LRRK2. Once
activated, LRRK2 kinase phosphorylates and influences the function
of a series of other downstream Rab proteins (Steger et al, 2016,
2017). It was previously unclear how the LRRK2[R1441G/C] and LRRK2
[Y1699C] variants activated LRRK2, as these mutants possess similar
kinase activity as wild-type LRRK2 in in vitro experiments (Jaleel
et al, 2007; Nichols et al, 2010; Steger et al, 2016). However, in cells,
G
G
H
0
2
4
6
0
0.5
1.0
LRRK2 (normalized)
cycloheximide chase (hr)
R1441G
+ L728D/L729D
LRRK2 R1441G
LRRK2 R1441G
R1441G
+ L728D/L729D
Rab29
Rab29
Rab29
R1441G
0
20
40
60
80
100
Cells with compact Rab29
staining (percent)
R1441G-
L728/729D
I
J
** **
Figure 7. Discussion H
0
2
4
6
0
0.5
1.0
LRRK2 (normalized)
cycloheximide chase (hr)
R1441G
+ L728D/L729D
LRRK2 R1441G
LRRK2 R1441G
R1441G
+ L728D/L729D
Rab29
Rab29
Rab29
R1441G
0
20
40
60
80
100
Cells with compact Rab29
staining (percent)
R1441G-
L728/729D
I
J
** ** Rab29
R1441G
0
20
40
60
80
100
Cells with compact Rab29
staining (percent)
R1441G-
L728/729D
I
** ** 0
2
4
6
0
0.5
1.0
LRRK2 (normalized)
cycloheximide chase (hr)
R1441G
+ L728D/L729D
LRRK2 R1441G
J H
LRRK2 R1441G
R1441G
+ L728D/L729D
Rab29
Rab29 J H Figure 7. Figure 7. LRRK2’s ROC domain promotes Rab29 activation of LRRK2. Once
activated, LRRK2 kinase phosphorylates and influences the function
of a series of other downstream Rab proteins (Steger et al, 2016,
2017). It was previously unclear how the LRRK2[R1441G/C] and LRRK2
[Y1699C] variants activated LRRK2, as these mutants possess similar
kinase activity as wild-type LRRK2 in in vitro experiments (Jaleel
et al, 2007; Nichols et al, 2010; Steger et al, 2016). However, in cells, 10 The EMBO Journal ª 2017 The Authors Published online: December 6, 2017 Published online: December 6, 2017 The EMBO Journal al
Activation of LRRK2 by Rab29 Elena Purlyte et al
Activation of LRRK2 by Rab29 A
B
250kDa
25kDa
25kDa
25kDa
25kDa
250kDa
250kDa
37kDa
Rab29
KO-1
WT
Rab29
KO-2
MLi-2
-
+
-
+
-
+
-
+
- -
+
Rab10-pT73 (108-10)
LRRK2-pS935
LRRK2-pS973
LRRK2-total
Rab29-total
Rab10-total
GAPDH
Rab10-pT73 (83-4)
+
Rab29:
WT
C727D L728D L729D
- - + + - - + + - - + + - - + +
LRRK2:
LRRK2-pS1292
LRRK2-total
Rab29 (HA)
tubulin
Rab29-pT71
LRRK2-pS973
LRRK2-pS935
LRRK2-pS910
LRRK2-pS955
Rab10-pT73 (108-10)
(endogenous)
Rab10-total
(endogenous)
250kDa
250kDa
250kDa
250kDa
250kDa
25kDa
25kDa
50kDa
250kDa
25kDa
25kDa
WT DMSO
WT MLI-2
Rab29-KO clone 1 DMSO
Rab29-KO clone 1 MLI-2
Rab29-KO clone 2 DMSO
Rab29-KO clone 2 MLI-2
0.0
0.5
1.0
1.5
pT73-Rab10/totla Rab10
+/-SEM
***
***
***
***
***
pT73-Rab10 108-10
pS935-LRRK2
WT DMSO
WT MLI-2
Rab29-KO clone 1 DMSO
Rab29-KO clone 1 MLI-2
Rab29-KO clone 2 DMSO
Rab29-KO clone 2 MLI-2
0.0
0.5
1.0
1.5
pS935-LRRK2/total LRRK2
+/-SEM
***
***
***
*
ns
pS973-LRRK2
WT DMSO
WT MLI-2
Rab29-KO clone 1 DMSO
Rab29-KO clone 1 MLI-2
Rab29-KO clone 2 DMSO
Rab29-KO clone 2 MLI-2
0.0
0.5
1.0
1.5
**
**
**
ns
ns
pS973-LRRK2/total LRRK2
+/- SEM
Figure 8. Discussion Our data suggest that the LRRK2[R1441G/C] and
LRRK2[Y1699C] mutations are activated in vivo, due to their increased
ability to bind GTP, thereby promoting Rab29-mediated recruitment
and activation of LRRK2 on the Golgi apparatus. Consistent with this
model, introduction of the T1348N mutation that blocks GTP binding
prevents Rab29-mediated recruitment of LRRK2 to the Golgi, and
concomitant LRRK2 activation (Fig 9). In future work, it will be
important to better define the mechanism by which the R1441G/C
and Y1699C mutations promote GTP binding and how this influences
Rab29 binding and LRRK2 kinase activation. A 3D model of the structure of dimeric, full-length LRRK2 has
been generated based on homology models, chemical cross-linking,
negative-stain EM, and small-angle X-ray scattering (Guaitoli et al,
2016). Interestingly, this model indicates that the ankyrin domain
lies in close proximity to the kinase domain (Guaitoli et al, 2016). Such an arrangement could explain the potent activation of the
kinase upon Rab29 binding to the active site-adjacent ankyrin
domain. Higher resolution structural analysis and further mechanis-
tic studies are required to more precisely define how Rab29 binding
to the ankyrin domain is coupled to LRRK2 kinase activity. This
might also help design improved ankyrin mutants of LRRK2 that are
unable to bind to Rab29 that might not destabilize the protein to
better study the role that this biological interaction plays. Thus far,
we have not been able to reconstitute activation of LRRK2 by Rab29
in an in vitro system. These experiments have been hampered
by challenges in expressing fully active and mono-dispersed, the LRRK2[R1441G/C] and LRRK2[Y1699C] mutations are clearly
more active and phosphorylate Rab proteins to a greater extent that
the LRRK2[G2019S] variant (Ito et al, 2016; Steger et al, 2016). Consistent with this, the average age of onset of Parkinson’s is report-
edly earlier with patients with R1441G/C mutations compared to
those carrying the G2019S mutation (Gonzalez-Fernandez et al, 2007;
Healy et al, 2008). Our data suggest that the LRRK2[R1441G/C] and
LRRK2[Y1699C] mutations are activated in vivo, due to their increased
ability to bind GTP, thereby promoting Rab29-mediated recruitment
and activation of LRRK2 on the Golgi apparatus. Consistent with this
model, introduction of the T1348N mutation that blocks GTP binding
prevents Rab29-mediated recruitment of LRRK2 to the Golgi, and
concomitant LRRK2 activation (Fig 9). Discussion 24 h post-transfection, cells were lysed and analyzed by immunoblotting with the indicated antibodies. WT is wild type. Similar results were obtained in two
experiments A
HEK293 cells were transfected with the indicated wild-type and ankyrin domain mutant forms of LRRK2 with either HA-empty vector () or HA-tagged Rab29 (+). 24 h post-transfection, cells were lysed and analyzed by immunoblotting with the indicated antibodies. WT is wild type. Similar results were obtained in two
experiments. B
Wild-type A549 cells and two independent clones of CRISPR/CAS9 Rab29 knockout (KO-1 and KO-2) were lysed and analyzed by immunoblotting with the indicated
antibodies. Two separate phospho-Rab10 rabbit monoclonal antibodies were employed (108–10 and 83–4). Blots were signals quantified by LiCor and presented as
average SEM. Similar results were obtained in three experiments. There was a statistically significant difference between groups for pT73-Rab10/total Rab10 signal
(P < 0.0001, one-way ANOVA, F(5, 12) = 41.56). ***P < 0.001 by one-way ANOVA with Dunnett’s multiple comparison with mean difference 95% confidence intervals
of groups compared to WT DMSO control: WT MLI-2 0.6725–1.129; Rab29-KO CL1 DMSO 0.3348–0.7916; Rab29-KO CL1 MLI-2 0.6953–1.152; Rab29-KO CL2 DMSO
0.3103–0.7671; Rab29-KO CL2 MLI-2 0.6754–1.132. There was a significant difference between groups for pS935-LRRK2/total LRRK2 signal (P < 0.0001, one-way
ANOVA, F(5, 12) = 18.00). nsP > 0.05; *P < 0.05, ***P < 0.001 by one-way ANOVA with Dunnett’s multiple comparison test with mean difference 95% confidence
intervals of groups compared to WT DMSO control: WT MLI-2 0.5319–1.271; Rab29-KO CL1 DMSO 0.01298 to 0.7261; Rab29-KO CL1 MLI-2 0.5353–1.274; Rab29-KO
CL2 DMSO 0.01820–0.7573; Rab29-KO CL2 MLI-2 0.5235–1.263. There was a significant difference between groups for pS973-LRRK2/total LRRK2 signal as well
(P = 0.003, one-way ANOVA, F(5, 12) = 6.903). nsP > 0.05, **P < 0.01 by one-way ANOVA with Dunnett’s multiple comparison test with mean difference 95%
confidence intervals of groups compared to WT DMSO control: WT MLI-2 0.1955–1.300; Rab29-KO CL1 DMSO 0.1599 to 0.9449; Rab29-KO CL1 MLI-2 0.2619–1.367;
Rab29-KO CL2 DMSO 0.4202 to 0.6846; Rab29-KO CL2 MLI-2 0.2159–1.321. the LRRK2[R1441G/C] and LRRK2[Y1699C] mutations are clearly
more active and phosphorylate Rab proteins to a greater extent that
the LRRK2[G2019S] variant (Ito et al, 2016; Steger et al, 2016). Consistent with this, the average age of onset of Parkinson’s is report-
edly earlier with patients with R1441G/C mutations compared to
those carrying the G2019S mutation (Gonzalez-Fernandez et al, 2007;
Healy et al, 2008). Discussion Endogenous Rab29 activates LRRK2 and is required for biomarker site phosphorylation. A
HEK293 cells were transfected with the indicated wild-type and ankyrin domain mutant forms of LRRK2 with either HA-empty vector () or HA-tagged Rab29 (+). B
250kDa
25kDa
25kDa
25kDa
25kDa
250kDa
250kDa
37kDa
Rab29
KO-1
WT
Rab29
KO-2
MLi-2
-
+
-
+
-
+
-
+
- -
+
Rab10-pT73 (108-10)
LRRK2-pS935
LRRK2-pS973
LRRK2-total
Rab29-total
Rab10-total
GAPDH
Rab10-pT73 (83-4)
+
pS935-LRRK2
WT DMSO
WT MLI-2
Rab29-KO clone 1 DMSO
Rab29-KO clone 1 MLI-2
Rab29-KO clone 2 DMSO
Rab29-KO clone 2 MLI-2
0.0
0.5
1.0
1.5
pS935-LRRK2/total LRRK2
+/-SEM
***
***
***
*
ns A
B
Rab29:
WT
C727D L728D L729D
- - + + - - + + - - + + - - + +
LRRK2:
LRRK2-pS1292
LRRK2-total
Rab29 (HA)
tubulin
Rab29-pT71
LRRK2-pS973
LRRK2-pS935
LRRK2-pS910
LRRK2-pS955
Rab10-pT73 (108-10)
(endogenous)
Rab10-total
(endogenous)
250kDa
250kDa
250kDa
250kDa
250kDa
25kDa
25kDa
50kDa
250kDa
25kDa
25kDa B A pS973-LRRK2
WT DMSO
WT MLI-2
Rab29-KO clone 1 DMSO
Rab29-KO clone 1 MLI-2
Rab29-KO clone 2 DMSO
Rab29-KO clone 2 MLI-2
0.0
0.5
1.0
1.5
**
**
**
ns
ns
pS973-LRRK2/total LRRK2
+/- SEM WT DMSO
WT MLI-2
Rab29-KO clone 1 DMSO
Rab29-KO clone 1 MLI-2
Rab29-KO clone 2 DMSO
Rab29-KO clone 2 MLI-2
0.0
0.5
1.0
1.5
pT73-Rab10/totla Rab10
+/-SEM
***
***
***
***
***
pT73-Rab10 108-10
pS973-LRRK2
WT DMSO
WT MLI-2
Rab29-KO clone 1 DMSO
Rab29-KO clone 1 MLI-2
Rab29-KO clone 2 DMSO
Rab29-KO clone 2 MLI-2
0.0
0.5
1.0
1.5
**
**
**
ns
ns
pS973-LRRK2/total LRRK2
+/- SEM WT DMSO
WT MLI-2
Rab29-KO clone 1 DMSO
Rab29-KO clone 1 MLI-2
Rab29-KO clone 2 DMSO
Rab29-KO clone 2 MLI-2
0.0
0.5
1.0
1.5
pT73-Rab10/totla Rab10
+/-SEM
***
***
***
***
***
pT73-Rab10 108-10 gure 8. Endogenous Rab29 activates LRRK2 and is required for biomarker site phosphorylation. Figure 8. Endogenous Rab29 activates LRRK2 and is required for biomarker site phosphorylation. A
HEK293 cells were transfected with the indicated wild-type and ankyrin domain mutant forms of LRRK2 with either HA-empty vector () or HA-tagged Rab29 (+). 24 h post-transfection, cells were lysed and analyzed by immunoblotting with the indicated antibodies. WT is wild type. Similar results were obtained in two
i A
HEK293 cells were transfected with the indicated wild-type and ankyrin domain mutant forms of LRRK2 with either HA-empty vector () or HA-tagged Rab29 (+). Discussion Journal
Activation of LRRK2 by Rab29
Elena Pur LRRK2-pS1292
LRRK2-pS955
LRRK2-pS973
LRRK2-pS935
LRRK2-pS910
LRRK2-total
Rab10-pT73
(endogenous)
Rab10
(endogenous)
Rab29-pT71
Rab29 (HA)
tubulin
WT
R1441G Y1699C
G2019S
250kDa
250kDa
250kDa
250kDa
250kDa
250kDa
25kDa
25kDa
25kDa
25kDa
50kDa
A
HEK293 cells
Rab29:
T1348N:
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
- -
-
-
-
-
-
-
+ +
+ +
+ +
+ + LRRK2-pS1292
LRRK2-pS955
LRRK2-pS973
LRRK2-pS935
LRRK2-pS910
LRRK2-total
Rab10-pT73
(endogenous)
Rab10
(endogenous)
Rab29-pT71
Rab29 (HA)
tubulin
WT
R1441G Y1699C
G2019S
250kDa
250kDa
250kDa
250kDa
250kDa
250kDa
25kDa
25kDa
25kDa
25kDa
50kDa
A
HEK293 cells
Rab29:
T1348N:
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
- -
-
-
-
-
-
-
+ +
+ +
+ +
+ + WT/WT WT/TN TN/TN
MLI-2
+
-
- + +
+ -
- + +
-
-
Rab10-pT73
Rab10
LRRK2-pS955
LRRK2-pS935
Tubulin
LRRK2 Nterm
250kDa
250kDa
250kDa
25kDa
25kDa
50kDa
B
TN=T1348N
Mouse embryonic fibroblasts A B HEK293 cells Rab29
tubulin
LRRK2
250kDa
50kDa
Rab29 (Myc)
25kDa
D
Membrane
Cytosol
-
+
-
+ T1348N-LRRK2 / DAPI
C
HeLa cells D C HeLa cells HeLa cells on of the T1348N mutation that ablates GTP binding to LRRK2 abolishes Rab10 and biomarker phosphorylation. nding to LRRK2 abolishes Rab10 and biomarker phosphorylatio Figure 9. Knock-in mutation of the T1348N mutation that ablates GTP binding to LRRK2 abolishes Rab10 and biomarker phosphorylation. A
HEK293 cells were transfected with the indicated wild-type and mutant forms of LRRK2 with either HA-empty vector () or HA-tagged Rab29 (+). 24 h post-
transfection, cells were lysed and analyzed by immunoblotting with the indicated antibodies WT is wild type. Similar results were obtained in two experiments. B
Wild-type LRRK2, heterozygous LRRK2[T1348N/+], and homozygous LRRK2[T1348N/T1348N] knock-in MEFs derived from littermate embryos were lysed
immunoblotted with the indicated antibodies. Similar results were obtained in two experiments. WT is Wild type and TN corresponds to T1348N. C
HeLa cells were transfected with FLAG-T1348N-LRRK2. After 48 h, cells were permeabilized by liquid nitrogen freeze–thaw to deplete cytosol, then fixed, and stained
with rabbit anti-LRRK2 antibody. Nuclear DAPI stain (blue); LRRK2 (red). Scale bar, 10 lm. Dotted line represents cell outlines. D
HEK293T cells were transfected with FLAG-T1348N-LRRK2 and 24 h later with Myc-Rab29. Discussion In future work, it will be
important to better define the mechanism by which the R1441G/C
and Y1699C mutations promote GTP binding and how this influences
Rab29 binding and LRRK2 kinase activation. 11 The EMBO Journal ª 2017 The Authors The EMBO Journal
Published online: December 6, 2017 Activation of LRRK2 by Rab29
Elena Purlyte et al The EMBO Journal T1348N-LRRK2 / DAPI
WT/WT WT/TN TN/TN
MLI-2
+
-
- + +
+ -
- + +
-
-
Rab10-pT73
Rab10
LRRK2-pS955
LRRK2-pS935
Tubulin
LRRK2 Nterm
250kDa
250kDa
250kDa
25kDa
25kDa
50kDa
B
LRRK2-pS1292
LRRK2-pS955
LRRK2-pS973
LRRK2-pS935
LRRK2-pS910
LRRK2-total
Rab10-pT73
(endogenous)
Rab10
(endogenous)
Rab29-pT71
Rab29 (HA)
tubulin
WT
R1441G Y1699C
G2019S
250kDa
250kDa
250kDa
250kDa
250kDa
250kDa
25kDa
25kDa
25kDa
25kDa
50kDa
A
C
Rab29
tubulin
LRRK2
250kDa
50kDa
Rab29 (Myc)
25kDa
D
Membrane
Cytosol
TN=T1348N
Mouse embryonic fibroblasts
HEK293 cells
HeLa cells
Rab29:
T1348N:
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
- -
-
-
-
-
-
-
+ +
+ +
+ +
+ +
-
+
-
+
Knock-in mutation of the T1348N mutation that ablates GTP binding to LRRK2 abolishes Rab10 and biomarker phosphorylation. cells were transfected with the indicated wild-type and mutant forms of LRRK2 with either HA-empty vector () or HA-tagged Rab29 (+). 24 h post-
ction, cells were lysed and analyzed by immunoblotting with the indicated antibodies WT is wild type. Similar results were obtained in two experiment
pe LRRK2, heterozygous LRRK2[T1348N/+], and homozygous LRRK2[T1348N/T1348N] knock-in MEFs derived from littermate embryos were lysed
oblotted with the indicated antibodies. Similar results were obtained in two experiments. WT is Wild type and TN corresponds to T1348N. ells were transfected with FLAG-T1348N-LRRK2. After 48 h, cells were permeabilized by liquid nitrogen freeze–thaw to deplete cytosol, then fixed, and s
bbit anti-LRRK2 antibody. Nuclear DAPI stain (blue); LRRK2 (red). Scale bar, 10 lm. Dotted line represents cell outlines. T cells were transfected with FLAG-T1348N-LRRK2 and 24 h later with Myc-Rab29. After 24 h of Rab29 expression, cytosol and membrane fractions we
d. Immunoblot of membrane protein (50 lg) and cytosolic protein (40% of equivalent volume) Rab29 as indicated. Numbers at left indicate mobility
proteins in kDa; proteins were detected with rabbit anti-LRRK2, mouse anti-tubulin, and mouse anti-Myc antibodies. a are available online for this figure. Discussion There has been much interest in how the phosphorylation of the
N-terminal LRRK2 biomarker (Ser910, Ser935, Ser955 and Ser973)
sites are controlled. To our knowledge, every LRRK2 kinase inhi-
bitor tested (> 100 compounds) induces efficient dephosphorylation
of these biomarker sites in around 1–2 h, suggesting that LRRK2 is
somehow controlling the phosphorylation of these sites either
directly through autophosphorylation or indirectly via another
kinase or phosphatase (Dzamko et al, 2010; Doggett et al, 2011). Our finding that all Rab29 binding-deficient ankyrin domain LRRK2
mutants we have tested are not phosphorylated at the biomarker
sites (Fig 8A), and that knockout of endogenous Rab29 in A549 cells
moderately reduced phosphorylation of these sites (Fig 8B), strongly
suggests that Rab29 recruitment to the Golgi is required for the
phosphorylation of the biomarker sites. This is further supported by
the finding that GTP binding-deficient LRRK2[T1348N] mutants that
cannot be activated by Rab29, are also not phosphorylated at the
biomarker sites (Fig 9A and B). This is also consistent with previous
studies showing that T1348N inhibited phosphorylation of Ser935,
Ser955, and Ser973 (Doggett et al, 2011). Overall, the data suggest
that highly active LRRK2 associated with the Rab29 at the Golgi
may become capable of autophosphorylation at the biomarker sites. However, our data do not exclude the possibility that another Golgi-
resident, LRRK2-controlled kinase or phosphatase regulates phos-
phorylation of these sites. It will be vital to reconstitute activation of
LRRK2 by Rab29 in vitro and establish whether or not this is accom-
panied by ability of LRRK2 to autophosphorylate at the biomarker
sites. recombinant Rab29. It is also possible that membrane association of
Rab29 and/or other factors located on the Golgi are required for
Rab29-mediated LRRK2 activation. The present study focused on Rab29 due to the previous genetic
links between Rab29, LRRK2, and Parkinson’s disease. However,
it is possible that other Rab proteins regulate LRRK2 localization
and activity in a similar manner by binding to the ankyrin domain. Indeed, when a panel of 11 Rab proteins was tested, we observed
a moderate activation of wild-type LRRK2 by Rab12 (Fig EV2A)
and LRRK2[R1441G] by Rab8A and Rab38 (Fig EV2B). Recruit-
ment of LRRK2 to membranes by different Rab proteins could
comprise a general mechanism to activate LRRK2 at different loca-
tions within the cell. Discussion Recruitment of LRRK2 to Rab29 at the Golgi also promotes
phosphorylation of a cluster of highly studied biomarker phosphorylation sites
(Ser910, Ser935, Ser955, and Ser973). More work is needed to define whether
these biomarker residues are phosphorylated by autophosphorylation or by a
Golgi-resident upstream kinase. Finally, our data suggest that LRRK2-mediated
phosphorylation of Rab29 might act as a negative feedback loop and prevent
Rab29 from activating LRRK2 Figure 10. Model of how Rab29 activates and recruits LRRK2 to the
trans-Golgi network greatly stimulating its kinase activity. necessity of Rab29 recruitment and activation for Golgi disruption
(Fig 7). It will be important to determine what substrate(s) LRRK2
phosphorylates on the Golgi to trigger its disruption of the structure
and whether these are additional Rab proteins. It will also be inter-
esting to evaluate the consequences of LRRK2-mediated Golgi frag-
mentation in relation to Parkinson’s disease. Further work is also
needed to define the consequences of Rab29 phosphorylation by
LRRK2. Substituting the two LRRK2 phosphorylation sites with Glu
to mimic phosphorylation appears to suppress activation of LRRK2
[R1441G] (Fig 1B), potentially indicating that this could serve as a
mechanism to release activated LRRK2 from the Golgi once it
becomes activated. Release of Rab29-activated LRRK2 could explain
its co-localization on post-Golgi structures with Rab8 in the perinu-
clear region and Rab10 near the periphery, two compartments that
presumably lack Rab29 protein. In this regard, it is important to
note
that
loss
of
Rab29
decreased
Rab10
phosphorylation
significantly,
linking
Rab29
activation
with
Rab10
substrate
phosphorylation. Figure 10. Model of how Rab29 activates and recruits LRRK2 to the
trans-Golgi network greatly stimulating its kinase activity. Our data suggest that Rab29 binds to the LRRK2 ankyrin domain and that GTP
binding to the ROC domain of LRRK2 promotes Rab29-mediated activation. This
explains why pathogenic LRRK2 R1441G/C and Y1699C mutants that promote
GTP binding are more readily recruited to the Golgi and activated by Rab29 than
wild-type LRRK2. Recruitment of LRRK2 to Rab29 at the Golgi also promotes
phosphorylation of a cluster of highly studied biomarker phosphorylation sites
(Ser910, Ser935, Ser955, and Ser973). More work is needed to define whether
these biomarker residues are phosphorylated by autophosphorylation or by a
Golgi-resident upstream kinase. Finally, our data suggest that LRRK2-mediated
phosphorylation of Rab29 might act as a negative feedback loop and prevent
Rab29 from activating LRRK2. ª 2017 The Authors Discussion After 24 h of Rab29 expression, cytosol and membrane fractions were
prepared. Immunoblot of membrane protein (50 lg) and cytosolic protein (40% of equivalent volume) Rab29 as indicated. Numbers at left indicate mobility of
marker proteins in kDa; proteins were detected with rabbit anti-LRRK2, mouse anti-tubulin, and mouse anti-Myc antibodies. Source data are available online for this figure. Figure 9. Knock-in mutation of the T1348N mutation that ablates GTP binding to LRRK2 abolishes Rab10 and biomarker phosphorylation. A
HEK293 cells were transfected with the indicated wild-type and mutant forms of LRRK2 with either HA-empty vector () or HA-tagged Rab29 (+). 24 h post-
transfection, cells were lysed and analyzed by immunoblotting with the indicated antibodies WT is wild type. Similar results were obtained in two experiments. B
Wild-type LRRK2, heterozygous LRRK2[T1348N/+], and homozygous LRRK2[T1348N/T1348N] knock-in MEFs derived from littermate embryos were lysed
immunoblotted with the indicated antibodies. Similar results were obtained in two experiments. WT is Wild type and TN corresponds to T1348N. C
HeLa cells were transfected with FLAG-T1348N-LRRK2. After 48 h, cells were permeabilized by liquid nitrogen freeze–thaw to deplete cytosol, then fixed, and stained
with rabbit anti-LRRK2 antibody. Nuclear DAPI stain (blue); LRRK2 (red). Scale bar, 10 lm. Dotted line represents cell outlines. D
HEK293T cells were transfected with FLAG-T1348N-LRRK2 and 24 h later with Myc-Rab29. After 24 h of Rab29 expression, cytosol and membrane fractions were
prepared. Immunoblot of membrane protein (50 lg) and cytosolic protein (40% of equivalent volume) Rab29 as indicated. Numbers at left indicate mobility of
marker proteins in kDa; proteins were detected with rabbit anti-LRRK2, mouse anti-tubulin, and mouse anti-Myc antibodies. Source data are available online for this figure. Source data are available online for this figure. 12 The EMBO Journal ª 2017 The Authors Published online: December 6, 2017 The EMBO Journal Elena Purlyte et al
Activation of LRRK2 by Rab29 Figure 10. Model of how Rab29 activates and recruits LRRK2 to the
trans-Golgi network greatly stimulating its kinase activity. Our data suggest that Rab29 binds to the LRRK2 ankyrin domain and that GTP
binding to the ROC domain of LRRK2 promotes Rab29-mediated activation. This
explains why pathogenic LRRK2 R1441G/C and Y1699C mutants that promote
GTP binding are more readily recruited to the Golgi and activated by Rab29 than
wild-type LRRK2. Discussion The Rab29-related proteins, Rab32 and
Rab38,
are
obvious
candidates
for
potential
interactors,
as
reported in a recent study (Waschbusch et al, 2014) and indeed
Rab38 can modestly activate LRRK2[R1441G] (Fig EV2A). Consis-
tent with other Rab proteins potentially controlling LRRK2 activity,
we find that in A549 cells, knockout of Rab29 significantly reduces
but does not abolish LRRK2-mediated phosphorylation of Rab10
(Fig 8B). It is possible that remaining LRRK2 activity observed
under these conditions is controlled by other Rab proteins binding
to LRRK2. In future work, it will also be important to study how Rab29
expression, localization, and nucleotide binding are controlled
in vivo and to explore further, whether overexpression or activation
of Rab29 is linked to Parkinson’s disease. It would also be important
to obtain more detailed structural information on how Rab29 binds
to LRRK2. This would enable the design of improved mutants that
disable binding of LRRK2 and Rab29 to better probe biological of
this interaction. It would also be interesting to investigate whether
Parkinson’s patients with PARK16 mutations display elevated
LRRK2 kinase activity and Rab10 phosphorylation. If this is the
case, it would suggest that patients with PARK16 locus mutations
might benefit from a future LRRK2 inhibitor therapeutic. Our data
also suggest that inhibitors targeting the LRRK2 ankyrin domain Our data are consistent with previous work (MacLeod et al,
2013; Beilina et al, 2014), showing that recruitment of LRRK2 to
the Golgi by Rab29 significantly effects Golgi apparatus integrity
and induces its fragmentation in a manner that can be ameliorated
by treatment with LRRK2 inhibitors (Fig 3). We also find that
LRRK2 ankyrin domain mutants that are unable to interact with
Rab29 do not fully disperse the Golgi apparatus, emphasizing the 13 The EMBO Journal The EMBO Journal
Published online: December 6, 2017 Activation of LRRK2 by Rab29
Elena Purlyte et al phosphorylated). The phospho-Rab8 antibody was raised against
two phospho-T72-Rab8A/Rab8B peptides (C-Ahx-AGQERFRT*IT-
TAYYR-amide, corresponding to residues 65–79 and Ac-AGQERFR-
T*ITTAYYR-Ahx-C-amide
corresponding
to
residues
65–79
of
human Rab8, *indicates the phosphorylated residue). For immu-
nization, the peptides were coupled to KLH via the Cys residue. would be expected to block Rab29 binding and inhibit activity of
LRRK2 in cells, thereby offering therapeutic potential for the treat-
ment of Parkinson’s disease. Antibodies Rabbit
monoclonal
antibodies
for
total
LRRK2
(N-terminus)
(UDD3) and phospho-Ser935 LRRK2 (UDD2) were generated at the
University of Dundee. Mouse monoclonal antibody against total
LRRK2
(C-terminus)
was
from
NeuroMab
(clone
N241A/34). Rabbit monoclonal antibodies detecting phospho-Ser1292 LRRK2
[MJFR-19-7-8] (ab203181), phospho-Ser910 LRRK2 [UDD1 (15-3)]
(ab133449), phospho-Ser955 [MJF-R11 (75-1)] (ab169521), and
phospho-Ser973 LRRK2 [MJF-R12 (37-1)] (ab181364) were from
Abcam. Anti-Rab10 total antibody was from Cell Signaling Tech-
nology (#8127) and anti-HA High Affinity (clone 3F10) from
Roche. Sheep
polyclonal
antibody
for
phospho-Thr71
Rab29
(S877D) was purified at the University of Dundee and used at a
final concentration of 1 lg/ml in the presence of 10 lg/ml non-
phosphorylated peptide. Sheep polyclonal antibody detecting total
Rab29 was purified at the University of Dundee (S984D) which can
be requested via our reagents website (https://mrcppureagents. dundee.ac.uk/). Plasmids The following constructs were used: HA-empty vector (DU49303);
HA-Rab29
wt/T71E/S72E/T71A+S72A/T71E+S72E/M73S+R75S
(DU50222, DU50242, DU50243, DU52690, DU27422, DU52670,
DU27495, DU27918); 6His-SUMO-Rab8a (DU47363); Flag-tagged
LRRK2 wt full-length (DU6841), LRRK2 wt 970-end (DU26764),
LRRK2 D2017A full-length (DU10128), LRRK2 D2017A 970-end
(DU26689), LRRK2 R1441C full-length (DU13078), LRRK2 R1441G
full-length (DU13077), LRRK2 R1441G 970-end (DU26770), LRRK2
R1441G+D2017A full-length (DU52702), LRRK2 R1441H full-length
(DU13287), LRRK2 Y1699C full-length (DU13165), LRRK2 Y1699C
970-end (DU26763), LRRK2 Y1699C+D2017A full-length (DU52703),
LRRK2 R1728H full-length (DU17138), LRRK2 G2019S full-length
(DU10129),
LRRK2
G2019S
970-end
(DU19006),
LRRK2
G2019S+D2017A full-length (DU52723), LRRK2 I2020T full-length
(DU13081), LRRK2 T2031S full-length (DU17135), LRRK2 G2385R
full-length (DU13083). LRRK2 C727D full-length (DU26942), LRRK2
L728D full-length (DU26916), LRRK2 L729D full-length (DU26929),
LRRK2 L728D L729D full-length (DU26925), LRRK2 L760D full-
length (DU27224), LRRK2 L761D full-length (DU27240), LRRK2
L762D full-length (DU27225), LRRK2 L789D full-length (DU27229),
LRRK2 L790D full-length (DU27226), LRRK2 L791D full-length
(DU27227), LRRK2 C727D R1441G full-length (DU27040), LRRK2
L728D R1441G full-length (DU27042), and LRRK2 L729D R1441G
full-length (DU27022). Rab29 KO N-terminal antisense guide and
Cas9
D10A
(DU52630),
Rab29
KO
N-terminal
sense
guides
(DU52626). eGFP-LRRK2-G2019S
was
cloned
into
modified
pSLQ1371 with eGFP at the N-terminus. Rab29 was subcloned into
pcDNA3.1 with Myc-tag and modified pSLQ1371 with eGFP at the
N-terminus. All cDNA clones generated for the present study can be
requested
via
our
reagents
website
(https://mrcppureagents. dundee.ac.uk/). MLi-2 LRRK2 inhibitor (Scott et al, 2017) was synthesized as
described in Miller et al (2014). All recombinant proteins, DNA
constructs, and antibodies generated for the present study and
more detailed information on these can be requested via our
reagents website (https://mrcppureagents.dundee.ac.uk/). LRRK2
[R1441G] knock-in MEFs were kindly provided by Dr Shu-Leong
Ho (Division of Neurology, Department of Medicine, University of
Hong Kong, Hong Kong) and have been described previously (Ito
et al, 2016). General methods DNA constructs were amplified in Escherichia coli DH5a and puri-
fied using a Hi-Speed Plasmid Maxi Kit (Qiagen). DNA cloning
procedures
were
undertaken
using
standard
protocols. DNA
sequence verification of the DNA constructs used in the present
study was performed by our Sequencing Service (http://www.dnase
q.co.uk). Purification of Rab proteins The
coding
sequence
for
human
Rab8A
(accession
number:
NM_005370.4) was cloned into pET15b (DU47363), expressed in
E. coli BL21 and purified as described previously (Steger et al,
2016). Horseradish peroxidase-conjugated anti-mouse (#31450), anti-
rabbit (#31460), and anti-rat (#31470) were from Thermo Fisher
Scientific. Rabbit monoclonal antibody recognizing phospho-Thr72
Rab8A/8B and phospho-Thr73 Rab10 were custom-made by Abcam
in collaboration with the Michael J Fox Foundation and Abcam
(Burlingame, California) (Lis et al, 2017). The Phospho-Rab10 anti-
body was raised against two phospho-T73-Rab10 peptides C-Ahx-
AGQERFHT*ITTSYYR-amide (corresponds to residues 66–80 of
human Rab10 in which Thr73 marked as T* is phosphorylated) and
Ac-AGQERFHT*ITTSYYR-Ahx-C-amide
(corresponds
to
residues
66–80
of
human
Rab10
in
which
Thr73
marked
as
T*
is The EMBO Journal Generation of mouse embryonic fibroblasts To generate Rab29 knockout cells, a modified Cas9 nickase system
was used. Guides were chosen following careful transcript analysis
using both NCBI and Ensembl and that the guides themselves were
identified using the Sanger center’s CRISPR finder (http://www.sa
nger.ac.uk/htgt/wge/find_crisprs). Optimal sgRNA pairs were iden-
tified with a low combined off-targeting score ((Rab29 KO-sgRNA1:
GCACACTACCCAATGGAGAGC (DU52626); sgRNA2: GCTAGGTCC
TGTTTCCACCTC (DU52630). Complementary oligos with BbsI-
compatible overhangs were designed for each and the dsDNA guide
inserts ligated into BbsI-digested target vectors; the antisense
guides (sgRNA2) were cloned onto the spCas9 D10A-expressing
pX335 vector (Addgene plasmid no. 42335) and the sense guides
(sgRNA1) into the puromycin-selectable pBABED P U6 plasmid
(Dundee-modified version of the original Cell Biolabs pBABE
plasmid). A549 and HEK293Trex cells at ~80% confluency were
co-transfected in a six-well plate with DU52630 and DU52626 plas-
mids (for the Rab29 knockout) using for A549 cells Lipofectamine
LTX according to the manufacturer’s instructions, with the final
amount of 9 ll Lipofectamine LTX and 2.5 lg of DNA per well in
a 6 well plate, and Polyethylenimine HCl MAX 4000 (Polysciences,
Inc.) for HEK293Trex cells with 6 lg of Polyethylenimine, and
2.5 lg of DNA per well in a six-well plate followed by 24-h incu-
bation in DMEM supplemented with 10% FBS, 2 mM L-glutamine,
100 units/ml penicillin, and 100 mg/ml streptomycin. Medium
was then replaced with fresh medium supplemented with 2 lg/ml
of puromycin. After 24 h of puromycin selection, medium was
replaced again with fresh medium without puromycin and the
cells were left to recover for 48 h before performing single-cell
sorting. LRRK2[T1348N] knock-in mice were obtained from The Jackson
Laboratory and maintained on a C57BL/6J background (for further
information see http://jaxmice.jax.org/strain/021829.html). Litter-
mate-matched wild-type and homozygous LRRK2[T1348N] MEFs
were isolated from mouse embryos at day E12.5 resulting from
crosses
between
heterozygous
LRRK2[T1348N/WT]
mice
as
described previously (Wiggin et al, 2002). Genotyping of mice and
MEFs was performed by PCR using genomic DNA isolated from ear
biopsies and KOD Hot Start DNA Polymerase. Primer 1 (50-ACAAT
CATGAGCTTCATTCGGTTGTAGGGT-30) and Primer 2 (50-ACATAT
GTGTATATAACACAACCAAGGCTGC-30) were used to detect the
wild-type and knock-in alleles. DNA sequencing was used to con-
firm the knock-in mutation and performed by DNA Sequencing &
Services
(MRC–PPU;
http://www.dnaseq.co.uk)
using
Applied
Biosystems Big-Dye version 3.1 chemistry on an Applied Biosystems
model
3730
automated
capillary
DNA
sequencer. Cell culture, transfection, treatment, and lysis HEK293, HeLa, A549, and mouse embryonic fibroblast cells were
cultured in Dulbecco’s modified Eagle’s medium containing 10%
fetal bovine serum, 2 mM Glutamine, and penicillin (100 U/ml)/
streptomycin (100 lg/ml). Media for HEK293Trex cells before
knock-in also contained 15 lg/ml Blasticidin and 50 lg/ml Zeocin. Flp-In T-REx 293 cells knock-in for eGFP-LRRK2-R1441G were main-
tained in 15 lg/ml Blasticidin and 100 lg/ml Hygromycin B
(Thermo Scientific). LRRK2 expression was induced with 1 lg/ml 14 The EMBO Journal ª 2017 The Authors Elena Purlyte et al
Activation of LRRK2 by Rab29
Published online: December 6, 2017 Elena Purlyte et al
Activation of LRRK2 by Rab29
Published online: December 6, 2017 The EMBO Journal through
a
0.22-lm-pore-size
Spinex
column
and
added
with
2-Mercaptoethanol to 1% (v/v). Samples were incubated for 5 min
at 70°C before being subjected to SDS–PAGE and Western blotting. For the peptide substrate phosphorylation assay, kinase reactions
were set up in a total volume of 50 ll with immunoprecipitated
LRRK2 in 50 mM Tris/HCl, pH 7.5, 0.1 mM EGTA, 10 mM MgCl2,
and 0.2 mM [c-32P]ATP (~300–500 c.p.m./pmol) in the presence
of
40 lM
Nictide
(RLGWWRFYTLRRARQGNTKQR). Reactions
were undertaken for 30 min at 30°C and terminated by applying
45 ll of the reaction mixture on to P81 phosphocellulose paper
and immersing in 50 mM phosphoric acid. After extensive wash-
ing, the radioactivity in the reaction products was quantified by
Cherenkov counting. LRRK2 was then eluted from the beads by
addition of LDS before being subjected to SDS–PAGE and Western
blotting. Tetracycline for 24 h. HeLa cells were transfected with Fugene 6
(Promega), and HEK293T cells were transfected with Polyethylen-
imine HCl MAX 4000 (Polysciences, Inc.) as described previously
(Reed et al, 2006). Cells were lysed 24 h after transfection in an ice-
cold lysis buffer containing 50 mM Tris/HCl, pH 7.5, 1% (v/v)
Triton X-100, 1 mM EGTA, 1 mM sodium orthovanadate, 50 mM
NaF, 10 mM 2-glycerophosphate, 5 mM sodium pyrophosphate,
0.1 lg/ml mycrocystin-LR (Enzo Life Sciences), 270 mM sucrose,
and
Complete
EDTA-free
protease
inhibitor
cocktail
(Roche). Lysates were centrifuged at 20,800 g for 15 min at 4°C, and super-
natants were quantified by Bradford assay (Thermo Scientific) and
subjected to immunoblot analysis. Treatment of cells with MLi-2
was for 60 min at a final concentration of 100 nM, unless otherwise
specified. Cell culture, transfection, treatment, and lysis All cell lines used in this study were tested for myco-
plasma contamination and confirmed as negative for experimental
analysis. Generation of mouse embryonic fibroblasts Wild-type,
heterozygous, and homozygous T1348N knock-in MEFs isolated
from the same littermate were selected for subsequent experiments. Cells
cultured
in
parallel
at
passage
6
were
used
for
the
immunoblotting experiments presented in this paper. ª 2017 The Authors Immunoblot determination of membrane-associated LRRK2 Cells were chilled on ice, washed with ice-cold PBS, and swelled
in hypotonic buffer (10 mM HEPES pH 7.4). After 15 min, 5×
buffer was added to achieve a final concentration of resuspension
buffer (50 mM HEPES pH 7.4, 150 mM NaCl, 5 mM MgCl2,
0.5 mM DTT, 100 nM GDP, 1× protease inhibitor cocktail (Sigma)
and 2 mM sodium orthovanadate, 5 mM sodium fluoride, 5 mM
sodium pyrophosphate, 10 mM beta-glycerophosphate, 0.1 lg/ml
Microcystin-LR), and the suspension was passed 20 times through
25-G syringe. Nuclei were pelleted by centrifugation at 1,000 g for
5 min at 4°C. The post-nuclear supernatant was spun 100,000 g
for 20 min in a table top ultracentrifuge in TLA100.2 rotor; the
resulting supernatant was the cytosol fraction. Membrane pellets
were solubilized in 1% Triton X-100-containing 1× resuspension
buffer. Protein concentrations were estimated by Bradford assay
(Bio-Rad, Richmond, CA). Samples containing 50 lg of membrane
protein, or the equivalent volume of cytosolic protein, were heated
at 37°C for 10 min after addition of 5× SDS–PAGE sample buffer. For
experiments utilizing FLAG-LRRK2-G2019S, FLAG-LRRK2-R1441G,
and derivative mutants, expression was for 48 h and Myc-Rab29
expression was for 24 h. Samples were loaded in duplicate onto
TGX mini-PROTEAN 4–20% precast gradient gels (Bio-Rad) or
NuPAGE 3–8% precast gradient Tris-acetate gels (Invitrogen). Gels
were transferred onto nitrocellulose membrane using Trans-blot
turbo system, blocked in 5% milk in TBS-T. Antibodies used were
rabbit anti-LRRK2 UDD3 1:1,000 (MRC PPU University of Dundee),
mouse anti-Myc (Cell signaling, 1:1,000), chicken anti-GFP (Aves,
1:1,000), mouse anti-GFP (Neuromab, 1:1,000), Mouse anti-tubulin
DM1A (Sigma, 1:1,000), rabbit anti-phosphoserine 1292 (Abcam,
1:500), mouse anti-LAMP2 (DSHB 1:1,000), and mouse anti-Trans-
ferrin
receptor
(BD
Bioscience,
1:1,000). Primary
antibody
incubations were overnight in blocking buffer. Secondary donkey
anti-Rabbit 800 and donkey anti-mouse 680 antibodies (Licor,
1:10,000) were incubated for 1 h, imaged using an Odyssey
Infrared scanner (Licor), and quantified using ImageJ software. LRRK2 immunoprecipitation kinase assays FLAG-tagged LRRK2 wild-type and mutant variants of LRRK2 were
transiently overexpressed in HEK293 cells using Polyethylenimine
transfection (Reed et al, 2006), and 24 h post-transfection, cells
were lysed in lysis buffer as described above and LRRK2 immuno-
precipitated using anti-FLAG M2-agarose for 1 h (10 ll resin per
1 mg of cell extract). A control was also included where HEK293
cells were transfected with FLAG-empty vector. Immunoprecipi-
tates were then washed three times with lysis buffer supplemented
with 300 mM NaCl, and twice with 50 mM Tris/HCl (pH 7.5). Kinase assays were set up in a total volume of 50 ll with immuno-
precipitated LRRK2 in 50 mM Tris/HCl (pH 7.5), 10 mM MgCl2,
and 1 mM ATP in the presence of 5 lg recombinant Rab8A. Assays were carried out at 30°C for 45 min with shaking. Reac-
tions were terminated by adding LDS (lithium dodecyl sulfate)
loading buffer to the beads. The mixture was then incubated at
100°C for 10 min, and the eluent was collected by centrifugation Cell sorting was performed using Influx cell sorter (Becton Dickin-
son). Single cells were placed in individual wells of a 96-well plate
containing DMEM supplemented with 10% FBS, 2 mM L-glutamine,
100 units/ml penicillin, and 100 mg/ml streptomycin and 100 mg/
ml Normocin (InvivoGen). For HEK293Trex cells, the wells were
coated by gelatin and the media contained Blasticidin and Zeocin as
described above. After reaching ~80% confluency, individual clones
were transferred into six-well plates. After reaching ~80% conflu-
ency,
the
clones
were
screened
for
presence
of
Rab29
by
immunoblotting. A549
Rab29-KO
were
further
confirmed
by 15 The EMBO Journal The EMBO Journal
Published online: December 6, 2017 Activation of LRRK2 by Rab29
Elena Purlyte et al Activation of LRRK2 by Rab29
Elena Purlyte et al sequencing. For this purpose, genomic DNA was isolated using
GenElute
TM Mammalian Genomic DNA Miniprep Kit (Sigma-Aldrich). PCR was performed using PfuUltra High-Fidelity DNA Polymerase
(Agilent Technologies) using 50-CAGGAGCGCTTCACCTCTATG and
50-GTCTCACTCACCCTCAACATCC primers to amplify the region
targeted for knockout. The PCR products were then cloned into pSC-
A-amp/kan vector using StrataClone PCR Cloning Kit (Agilent Tech-
nologies). For each cloning reaction, 20 positive bacterial colonies
were selected and amplified for plasmid DNA isolation using
QIAprep Spin Miniprep Kit (Qiagen). Statistics Graphs were made using Graphpad Prism 5 software. Error bars
indicate SEM. Student’s t-test
was used
to
test
significance. Two-tailed P-values < 0.05 were considered statistically significant. Figures EV2, 6E and 8B were analyzed using one-way ANOVA with
Dunnett’s multiple comparison test to test significance. Acknowledgements We thank Dr. Martin Steger (Department of Proteomics and Signal Transduc-
tion, Max Planck Institute of Biochemistry, Martinsried, Germany) as well as
Kalpana Merchant (TransThera Consulting), Marco Baptista, and Shalini
Padmanabhan (Michael J Fox Foundation for Parkinson’s research) for helpful
discussions. We also thank Thineskrishna Anbarasan for performing CRISPR/
Cas9 knockouts of Rab29 in HEK293Trex cells, Philip Wing-Lok Ho and
Shu-Leong Ho (Division of Neurology, Department of Medicine, University of
Hong Kong, Hong Kong) for provision of the LRRK2[R1441G] knock-in MEFs
and the excellent technical support of the MRC-Protein Phosphorylation and
Ubiquitylation Unit (PPU) DNA Sequencing Service (coordinated by Nicholas
Helps), the MRC PPU tissue culture team (coordinated by Laura Fin), MRC LRRK2 immunoprecipitation kinase assays The inserts in each individual
clone were then sequenced using M13 primers (DNA sequencing
facility of Division of Signal Transduction Therapy at the University
of Dundee) to confirm that there were no wild-type alleles of Rab29
gene present in the genome of selected clones. chilled on ice, washed twice with cold PBS, and incubated in gluta-
mate buffer (25 mM KCl, 25 mM HEPES pH 7.4, 25 mM magnesium
acetate, 5 mM EGTA, 150 mM potassium glutamate). Excess buffer
was removed by blotting with a tissue; the coverslip was then
dipped in liquid nitrogen for 5 s and allowed to thaw for few
seconds. Coverslips were then gently washed with glutamate buffer
and rehydrated for 5 min in cold PBS. Cells were then fixed (cold
3% PFA for 20 min on ice), permeabilized with 0.1% Trixon X-100,
and blocked with 2% BSA in PBS. Antibodies were diluted as
follows: anti-LRRK2 UDD3 antibody (1:1,000, MRC PPU University
of Dundee), mouse anti-GFP (Neuromab, 1:1,000), and mouse anti-
Myc (9E10 Hybridoma culture supernatant—undiluted). Secondary
antibodies (Thermo Scientific) were goat anti-rabbit Alexa 568
(1:2,000), goat anti-mouse Alexa 488 (1:1,000), goat anti-mouse
Alexa 555 (1:2,000), and goat anti-rabbit Alexa 488 (1:2,000). Images were acquired using a laser scanning confocal microscope
(Leica SP8) fitted with a 63× 1.4NA objective and acousto-optical
beam splitter with hybrid detector, or a spinning disk confocal
microscope (Yokogawa) with
an
electron
multiplying
charge-
coupled device (EMCCD) camera (Andor, UK) and a 100× 1.4NA oil
immersion objective. Images were analyzed using Fiji (https://fiji. sc/). Co-localization was quantified using JACoP, a Fiji plugin, and
Mander’s coefficients were calculated using an automatic threshold. MEF-R1441G or WT cells were fixed (3% PFA, RT, 15 min), perme-
abilized using Triton X-100 (0.1%), blocked with 2% BSA, and
stained with rabbit anti-GCC185 (1:1,000), (Cheung et al, 2015) and
goat anti-rabbit Alexa 488 (1:1,000) antibody. Nuclei were stained
using 0.1 lg/ml DAPI (Sigma). Data availability All primary data are available to anyone requesting this. We confirm
that this study does not contain protein, DNA, RNA sequence, macro-
molecular
structure,
crystallographic,
functional
genomic,
or
proteomic data that are subject to the “EMBO Data Deposition policy”. Expanded View for this article is available online. References main contacts. Proc Natl Acad Sci USA 113: E4357 – E4366 Beilina A, Rudenko IN, Kaganovich A, Civiero L, Chau H, Kalia SK, Kalia LV,
Lobbestael E, Chia R, Ndukwe K, Ding J, Nalls MA, International
Parkinson’s Disease Genomics C, North American Brain Expression C,
Olszewski M, Hauser DN, Kumaran R, Lozano AM, Baekelandt V, Greene LE
et al (2014) Unbiased screen for interactors of leucine-rich repeat kinase 2
supports a common pathway for sporadic and familial Parkinson disease. Proc Natl Acad Sci USA 111: 2626 – 2631 Guo L, Gandhi PN, Wang W, Petersen RB, Wilson-Delfosse AL, Chen SG (2007)
The Parkinson’s disease-associated protein, leucine-rich repeat kinase 2
(LRRK2), is an authentic GTPase that stimulates kinase activity. Exp Cell
Res 313: 3658 – 3670 Hatcher JM, Choi HG, Alessi DR, Gray NS (2017) Small-molecule inhibitors of
LRRK2. Adv Neurobiol 14: 241 – 264 Hatcher JM, Choi HG, Alessi DR, Gray NS (2017) Small-molecule inhibitors of
LRRK2. Adv Neurobiol 14: 241 – 264
Healy DG, Falchi M, O’Sullivan SS, Bonifati V, Durr A, Bressman S, Brice A, Aasly J, LRRK2. Adv Neurobiol 14: 241 – 264
Healy DG, Falchi M, O’Sullivan SS, Bonifati V, Durr A, Bressman S, Brice A, Aasly J, Healy DG, Falchi M, O’Sullivan SS, Bonifati V, Durr A, Bressman S, Brice A, Aasly J, Blanca Ramirez M, Lara Ordonez AJ, Fdez E, Madero-Perez J, Gonnelli A,
Drouyer M, Chartier-Harlin MC, Taymans JM, Bubacco L, Greggio E, Hilfiker
S (2017) GTP binding regulates cellular localization of Parkinsons disease-
associated LRRK2. Hum Mol Genet 26: 2747 – 2767 Zabetian CP, Goldwurm S, Ferreira JJ, Tolosa E, Kay DM, Klein C, Williams DR, Marras C, Lang AE, Wszolek ZK, Berciano J, Schapira AH et al (2008)
Phenotype, genotype, and worldwide genetic penetrance of LRRK2-associated Marras C, Lang AE, Wszolek ZK, Berciano J, Schapira AH et al (2008)
Phenotype, genotype, and worldwide genetic penetrance of LRRK2-associated Parkinson’s disease: a case-control study. Lancet Neurol 7: 583– 590 Bultema JJ, Di Pietro SM (2013) Cell type-specific Rab32 and Rab38 cooperate
with the ubiquitous lysosome biogenesis machinery to synthesize
specialized lysosome-related organelles. Conflict of interest Guaitoli G, Raimondi F, Gilsbach BK, Gomez-Llorente Y, Deyaert E, Renzi F,
Li X, Schaffner A, Jagtap PK, Boldt K, von Zweydorf F, Gotthardt K,
Lorimer DD, Yue Z, Burgin A, Janjic N, Sattler M, Versees W, Ueffing M,
Ubarretxena-Belandia I et al (2016) Structural model of the dimeric
Parkinson’s protein LRRK2 reveals a compact architecture involving distant
interdomain contacts. Proc Natl Acad Sci USA 113: E4357 – E4366 The authors declare that they have no conflict of interest. Author contributions EP designed and executed experiments (Figs 6B–D and 8A, and 9A and B, and
EV2, and EV3A and B); HSD designed and executed experiments (Figs 2 and 3
and 4 and 5 and 7A–I, and 9C and D, and EV3C); FT designed and executed
experiments (Figs 1, and EV1A, and 6A, E and F) and was the first to discover
that Rab29 stimulated LRRK2 Ser1292 phosphorylation; ARS executed experi-
ment Fig 8B; RG executed experiment Fig 7J; PL generated Rab29 KO A549 cells
and helped generate the phospho Rab8 and Rab10 antibodies and executed
experiment Fig EV1B and C; MW undertook most of the cloning studies; TNM
designed, organized, and oversaw the effort required for development the
rabbit phospho Rab8 and Rab10 antibodies; SRP and DRA supervised the
project and wrote the manuscript. All authors were involved in discussing and
interpreting the data. Gonzalez-Fernandez MC, Lezcano E, Ross OA, Gomez-Esteban JC, Gomez-
Busto F, Velasco F, Alvarez-Alvarez M, Rodriguez-Martinez MB, Ciordia R,
Zarranz JJ, Farrer MJ, Mata IF, de Pancorbo MM (2007) Lrrk2-associated
Parkinsonism is a major cause of disease in Northern Spain. Parkinsonism
Relat Disord 13: 509 – 515 Greggio E, Jain S, Kingsbury A, Bandopadhyay R, Lewis P, Kaganovich A, van
der Brug MP, Beilina A, Blackinton J, Thomas KJ, Ahmad R, Miller DW,
Kesavapany S, Singleton A, Lees A, Harvey RJ, Harvey K, Cookson MR
(2006) Kinase activity is required for the toxic effects of mutant LRRK2/
dardarin. Neurobiol Dis 23: 329 – 341 Light microscopy Parkinsonism
Relat Disord 13: 509 – 515 Dzamko N, Inesta-Vaquera F, Zhang J, Xie C, Cai H, Arthur S, Tan L, Choi H,
Gray N, Cohen P, Pedrioli P, Clark K, Alessi DR (2012) The IkappaB kinase
family phosphorylates the Parkinson’s disease kinase LRRK2 at Ser935 and
Ser910 during Toll-like receptor signaling. PLoS One 7: e39132
Fukuda M (2016) Multiple roles of VARP in endosomal trafficking: Rabs, Retrome
components and R-SNARE VAMP7 meet on VARP. Traffic 17: 709– 719 References Small GTPases 4: 16 – 21 Hesketh GG, Perez-Dorado I, Jackson LP, Wartosch L, Schafer IB, Gray SR, McCoy AJ, Zeldin OB, Garman EF, Harbour ME, Evans PR, Seaman MN,
Luzio JP, Owen DJ (2014) VARP is recruited on to endosomes by direct
interaction with retromer, where together they function in export to the
cell surface. Dev Cell 29: 591 – 606 Cherfils J, Zeghouf M (2013) Regulation of small GTPases by GEFs, GAPs, and
GDIs. Physiol Rev 93: 269 – 309 Ito G, Okai T, Fujino G, Takeda K, Ichijo H, Katada T, Iwatsubo T (2007) GTP
binding is essential to the protein kinase activity of LRRK2, a causative
gene product for familial Parkinson’s disease. Biochemistry 46: 1380 – 1388 Cheung PY, Limouse C, Mabuchi H, Pfeffer SR (2015) Protein flexibility is
required for vesicle tethering at the Golgi. Elife 4: e12790 Chia R, Haddock S, Beilina A, Rudenko IN, Mamais A, Kaganovich A, Li Y,
Kumaran R, Nalls MA, Cookson MR (2014) Phosphorylation of LRRK2 by
casein kinase 1alpha regulates trans-Golgi clustering via differential
interaction with ARHGEF7. Nat Commun 5: 5827 Ito G, Katsemonova K, Tonelli F, Lis P, Baptista MA, Shpiro N, Duddy G,
Wilson S, Ho PW, Ho SL, Reith AD, Alessi DR (2016) Phos-tag analysis of
Rab10 phosphorylation by LRRK2: a powerful assay for assessing kinase
function and inhibitors. Biochem J 473: 2671 – 2685 Ito G, Katsemonova K, Tonelli F, Lis P, Baptista MA, Shpiro N, Duddy G,
Wilson S, Ho PW, Ho SL, Reith AD, Alessi DR (2016) Phos-tag analysis of
Rab10 phosphorylation by LRRK2: a powerful assay for assessing kinase
function and inhibitors. Biochem J 473: 2671 – 2685 Daniels V, Vancraenenbroeck R, Law BM, Greggio E, Lobbestael E, Gao F, De
Maeyer M, Cookson MR, Harvey K, Baekelandt V, Taymans JM (2011)
Insight into the mode of action of the LRRK2 Y1699C pathogenic mutant. J
Neurochem 116: 304 – 315 Jaleel M, Nichols RJ, Deak M, Campbell DG, Gillardon F, Knebel A, Alessi DR
(2007) LRRK2 phosphorylates moesin at threonine-558: characterization of
how Parkinson’s disease mutants affect kinase activity. Biochem J 405:
307 – 317 Dodson MW, Zhang T, Jiang C, Chen S, Guo M (2012) Roles of the Drosophila
LRRK2 homolog in Rab7-dependent lysosomal positioning. Doggett EA, Zhao J, Mork CN, Hu D, Nichols RJ (2011) Phosphorylation of
LRRK2 serines 955 and 973 is disrupted by Parkinson’s disease mutations
and LRRK2 pharmacological inhibition. J Neurochem 120: 37 – 45
Dzamko N, Deak M, Hentati F, Reith AD, Prescott AR, Alessi DR, Nichols RJ
(2010) Inhibition of LRRK2 kinase activity leads to dephosphorylation of
Ser(910)/Ser(935), disruption of 14-3-3 binding and altered cytoplasmic
localization. Biochem J 430: 405 – 413
Dzamko N, Inesta-Vaquera F, Zhang J, Xie C, Cai H, Arthur S, Tan L, Choi H,
Gray N, Cohen P, Pedrioli P, Clark K, Alessi DR (2012) The IkappaB kinase
family phosphorylates the Parkinson’s disease kinase LRRK2 at Ser935 and
Ser910 during Toll-like receptor signaling. PLoS One 7: e39132
Fukuda M (2016) Multiple roles of VARP in endosomal trafficking: Rabs, Retromer
components and R-SNARE VAMP7 meet on VARP. Traffic 17: 709– 719
Gonzalez-Fernandez MC, Lezcano E, Ross OA, Gomez-Esteban JC, Gomez-
Busto F, Velasco F, Alvarez-Alvarez M, Rodriguez-Martinez MB, Ciordia R,
Zarranz JJ, Farrer MJ, Mata IF, de Pancorbo MM (2007) Lrrk2-associated
Parkinsonism is a major cause of disease in Northern Spain. Parkinsonism
Relat Disord 13: 509 – 515 Light microscopy HeLa cells were plated on collagen coated coverslips, transfected
with indicated plasmids using Fugene 6 (Promega). After 48 h for
LRRK2 and 24 h for Rab expression, cells were cytosol depleted by
liquid nitrogen freeze-thaw (Seaman, 2004). Briefly, cells were 16 ª 2017 The Authors The EMBO Journal Elena Purlyte et al
Activation of LRRK2 by Rab29
Published online: December 6, 2017 Elena Purlyte et al
Activation of LRRK2 by Rab29
Published online: December 6, 2017 The EMBO Journal PPU Reagents and Services antibody purification teams (coordinated by
Hilary McLauchlan and James Hastie). This work was supported by the
Michael J. Fox Foundation for Parkinson’s research [grant number 6986 (to
S.R.P. and D.R.A.)]; the Medical Research Council [grant number
MC_UU_12016/2 (to D.R.A.)]; the pharmaceutical companies supporting the
Division of Signal Transduction Therapy Unit (Boehringer-Ingelheim,
GlaxoSmithKline, and Merck KGaA, to D.R.A.); and the U.S. National Institutes
of Health DK37332 (to S.R.P.). Doggett EA, Zhao J, Mork CN, Hu D, Nichols RJ (2011) Phosphorylation of
LRRK2 serines 955 and 973 is disrupted by Parkinson’s disease mutations
and LRRK2 pharmacological inhibition. J Neurochem 120: 37 – 45 Dzamko N, Deak M, Hentati F, Reith AD, Prescott AR, Alessi DR, Nichols RJ
(2010) Inhibition of LRRK2 kinase activity leads to dephosphorylation of
Ser(910)/Ser(935), disruption of 14-3-3 binding and altered cytoplasmic
localization. Biochem J 430: 405 – 413 Dzamko N, Deak M, Hentati F, Reith AD, Prescott AR, Alessi DR, Nichols RJ
(2010) Inhibition of LRRK2 kinase activity leads to dephosphorylation of
Ser(910)/Ser(935), disruption of 14-3-3 binding and altered cytoplasmic
localization. Biochem J 430: 405 – 413 Dzamko N, Inesta-Vaquera F, Zhang J, Xie C, Cai H, Arthur S, Tan L, Choi H,
Gray N, Cohen P, Pedrioli P, Clark K, Alessi DR (2012) The IkappaB kinase
family phosphorylates the Parkinson’s disease kinase LRRK2 at Ser935 and
Ser910 during Toll-like receptor signaling. PLoS One 7: e39132
Fukuda M (2016) Multiple roles of VARP in endosomal trafficking: Rabs, Retromer
components and R-SNARE VAMP7 meet on VARP. Traffic 17: 709– 719
Gonzalez-Fernandez MC, Lezcano E, Ross OA, Gomez-Esteban JC, Gomez-
Busto F, Velasco F, Alvarez-Alvarez M, Rodriguez-Martinez MB, Ciordia R,
Zarranz JJ, Farrer MJ, Mata IF, de Pancorbo MM (2007) Lrrk2-associated
Parkinsonism is a major cause of disease in Northern Spain. References Hum Mol Genet
21: 1350 – 1363 Kuwahara T, Inoue K, D’Agati VD, Fujimoto T, Eguchi T, Saha S, Wolozin B,
Iwatsubo T, Abeliovich A (2016) LRRK2 and RAB7L1 coordinately regulate Kuwahara T, Inoue K, D’Agati VD, Fujimoto T, Eguchi T, Saha S, Wolozin B,
Iwatsubo T, Abeliovich A (2016) LRRK2 and RAB7L1 coordinately regulate 17 The EMBO Journal ª 2017 The Authors The EMBO Journal
Published online: December 6, 2017 The EMBO Journal
Published online: December 6, 2017 The EMBO Journal
Published online: December 6, 2017 Activation of LRRK2 by Rab29
Elena Purlyte et al axonal morphology and lysosome integrity in diverse cellular contexts. Sci
Rep 6: 29945 Seaman MN (2004) Cargo-selective endosomal sorting for retrieval to the
Golgi requires retromer. J Cell Biol 165: 111 – 122 Sheng Z, Zhang S, Bustos D, Kleinheinz T, Le Pichon CE, Dominguez SL, Solanoy
HO, Drummond J, Zhang X, Ding X, Cai F, Song Q, Li X, Yue Z, van der Brug MP,
Burdick DJ, Gunzner-Toste J, Chen H, Liu X, Estrada AA et al (2012) Ser1292
autophosphorylation is an indicator of LRRK2 kinase activity and contributes
to the cellular effects of PD mutations. Sci Transl Med 4: 164ra161 Lewis PA, Greggio E, Beilina A, Jain S, Baker A, Cookson MR (2007) The
R1441C mutation of LRRK2 disrupts GTP hydrolysis. Biochem Biophys Res
Commun 357: 668 – 671 Li X, Tan YC, Poulose S, Olanow CW, Huang XY, Yue Z (2007) Leucine-rich
repeat kinase 2 (LRRK2)/PARK8 possesses GTPase activity that is altered in
familial Parkinson’s disease R1441C/G mutants. J Neurochem 103: 238 – 247 Simon-Sanchez J, Schulte C, Bras JM, Sharma M, Gibbs JR, Berg D, Paisan-
Ruiz C, Lichtner P, Scholz SW, Hernandez DG, Kruger R, Federoff M, Klein
C, Goate A, Perlmutter J, Bonin M, Nalls MA, Illig T, Gieger C, Houlden H
et al (2009) Genome-wide association study reveals genetic risk
underlying Parkinson’s disease. Nat Genet 41: 1308 – 1312 Liao J, Wu CX, Burlak C, Zhang S, Sahm H, Wang M, Zhang ZY, Vogel KW,
Federici M, Riddle SM, Nichols RJ, Liu D, Cookson MR, Stone TA, Hoang QQ
(2014) Parkinson disease-associated mutation R1441H in LRRK2 prolongs
the “active state” of its GTPase domain. Proc Natl Acad Sci USA 111:
4055 – 4060 Smith WW, Pei Z, Jiang H, Dawson VL, Dawson TM, Ross CA (2006) Kinase
activity of mutant LRRK2 mediates neuronal toxicity. References Nat Neurosci 9:
1231 – 1233 Lis P, Burel S, Steger M, Mann M, Brown F, Diez F, Tonelli F, Holton JL, Ho PW,
Ho SL, Chou MY, Polinski NK, Martinez TN, Davies P, Alessi DR (2017)
Development of phospho-specific Rab protein antibodies to monitor in vivo
activity of the LRRK2 Parkinson’s disease kinase. Biochem J pii: BCJ20170802 Steger M, Tonelli F, Ito G, Davies P, Trost M, Vetter M, Wachter S, Lorentzen
E, Duddy G, Wilson S, Baptista MA, Fiske BK, Fell MJ, Morrow JA, Reith AD,
Alessi DR, Mann M (2016) Phosphoproteomics reveals that Parkinson’s
disease kinase LRRK2 regulates a subset of Rab GTPases. Elife 5: e12813 MacLeod DA, Rhinn H, Kuwahara T, Zolin A, Di Paolo G, McCabe BD, Marder
KS, Honig LS, Clark LN, Small SA, Abeliovich A (2013) RAB7L1 interacts with
LRRK2 to modify intraneuronal protein sorting and Parkinson’s disease
risk. Neuron 77: 425 – 439 disease kinase LRRK2 regulates a subset of Rab GTPases. Elife 5: e12813 Steger M, Diez F, Herschel SD, Liz P, Nirujogi RS, Karayel O, Tonelli F,
Martinez TN, Lorentzen E, Pfeffer SR, Alessi DR, Mann M (2017) Systematic
proteomic analysis of LRRK2-mediated Rab GTPase phosphorylation
establishes a connection to ciliogenesis. Elife 6: e31012 Miller M, Basu K, Demong D, Scott J, Li W, Stamford A, Poirier MPT (2014)
Compounds inhibiting leucine-rich repeat kinase enzyme activity. Int Pat
WO2014134774 Taymans JM, Vancraenenbroeck R, Ollikainen P, Beilina A, Lobbestael E, De
Maeyer M, Baekelandt V, Cookson MR (2011) LRRK2 kinase activity is
dependent on LRRK2 GTP binding capacity but independent of LRRK2 GTP
binding. PLoS One 6: e23207 Muda K, Bertinetti D, Gesellchen F, Hermann JS, von Zweydorf F, Geerlof A,
Jacob A, Ueffing M, Gloeckner CJ, Herberg FW (2014) Parkinson-related
LRRK2 mutation R1441C/G/H impairs PKA phosphorylation of LRRK2 and
disrupts its interaction with 14-3-3. Proc Natl Acad Sci USA 111: E34 – E43 Tucci A, Nalls MA, Houlden H, Revesz T, Singleton AB, Wood NW, Hardy J,
Paisan-Ruiz C (2010) Genetic variability at the PARK16 locus. Eur J Hum
Genet 18: 1356 – 1359 Nichols J, Dzamko N, Morrice NA, Campbell DG, Deak M, Ordureau A,
Macartney T, Tong Y, Shen J, Prescott A, Alessi DR (2010) 14-3-3 binding to
LRRK2 is disrupted by multiple Parkinson’s disease associated mutations
and regulates cytoplasmic localisation. References Biochem J 430: 393 – 404 Wang S, Ma Z, Xu X, Wang Z, Sun L, Zhou Y, Lin X, Hong W, Wang T (2014) A
role of Rab29 in the integrity of the trans-Golgi network and retrograde
trafficking of mannose-6-phosphate receptor. PLoS One 9: e96242 Ozelius LJ, Senthil G, Saunders-Pullman R, Ohmann E, Deligtisch A, Tagliati M,
Hunt AL, Klein C, Henick B, Hailpern SM, Lipton RB, Soto-Valencia J, Risch
N, Bressman SB (2006) LRRK2 G2019S as a cause of Parkinson’s disease in
Ashkenazi Jews. N Engl J Med 354: 424 – 425 Waschbusch D, Michels H, Strassheim S, Ossendorf E, Kessler D, Gloeckner CJ,
Barnekow A (2014) LRRK2 transport is regulated by its novel interacting
partner Rab32. PLoS One 9: e111632 Paisan-Ruiz C, Jain S, Evans EW, Gilks WP, Simon J, van der Brug M, Lopez de
Munain A, Aparicio S, Gil AM, Khan N, Johnson J, Martinez JR, Nicholl D,
Carrera IM, Pena AS, de Silva R, Lees A, Marti-Masso JF, Perez-Tur J, Wood
NW et al (2004) Cloning of the gene containing mutations that cause
PARK8-linked Parkinson’s disease. Neuron 44: 595 – 600 Webber PJ, Smith AD, Sen S, Renfrow MB, Mobley JA, West AB (2011)
Autophosphorylation in the leucine-rich repeat kinase 2 (LRRK2) GTPase
domain modifies kinase and GTP-binding activities. J Mol Biol 412: 94 – 110 Wiggin GR, Soloaga A, Foster JM, Murray-Tait V, Cohen P, Arthur JS (2002) MSK1
and MSK2 are required for the mitogen- and stress-induced phosphorylation
of CREB and ATF1 in fibroblasts. Mol Cell Biol 22: 2871 – 2881 PARK8-linked Parkinson’s disease. Neuron 44: 595 – 600 Pfeffer SR (2001) Rab GTPases: specifying and deciphering organelle identity
and function. Trends Cell Biol 11: 487 – 491 Pfeffer SR (2001) Rab GTPases: specifying and deciphering organelle identity
and function. Trends Cell Biol 11: 487 – 491 Zhang Q, Pan Y, Yan R, Zeng B, Wang H, Zhang X, Li W, Wei H, Liu Z (2015)
Commensal bacteria direct selective cargo sorting to promote symbiosis. Nat Immunol 16: 918 – 926 Pihlstrom L, Rengmark A, Bjornara KA, Dizdar N, Fardell C, Forsgren L,
Holmberg B, Larsen JP, Linder J, Nissbrandt H, Tysnes OB, Dietrichs E, Toft
M (2015) Fine mapping and resequencing of the PARK16 locus in
Parkinson’s disease. References J Hum Genet 60: 357 – 362 Pihlstrom L, Rengmark A, Bjornara KA, Dizdar N, Fardell C, Forsgren L,
Holmberg B, Larsen JP, Linder J, Nissbrandt H, Tysnes OB, Dietrichs E, Toft
M (2015) Fine mapping and resequencing of the PARK16 locus in
Parkinson’s disease. J Hum Genet 60: 357 – 362 Zimprich A, Biskup S, Leitner P, Lichtner P, Farrer M, Lincoln S, Kachergus
J, Hulihan M, Uitti RJ, Calne DB, Stoessl AJ, Pfeiffer RF, Patenge N,
Carbajal IC, Vieregge P, Asmus F, Muller-Myhsok B, Dickson DW,
Meitinger T, Strom TM et al (2004) Mutations in LRRK2 cause
autosomal-dominant parkinsonism with pleomorphic pathology. Neuron
44: 601 – 607 Reed SE, Staley EM, Mayginnes JP, Pintel DJ, Tullis GE (2006) Transfection of
mammalian cells using linear polyethylenimine is a simple and effective
means of producing recombinant adeno-associated virus vectors. J Virol
Methods 138: 85 – 98 Scott JD, DeMong DE, Greshock TJ, Basu K, Dai X, Harris J, Hruza A, Li SW, Lin SI,
Liu H, Macala MK, Hu Z, Mei H, Zhang H, Walsh P, Poirier M, Shi ZC, Xiao L,
Agnihotri G, Baptista MA et al (2017) Discovery of a 3-(4-Pyrimidinyl)
Indazole (MLi-2), an orally available and selective leucine-rich repeat kinase
2 (LRRK2) inhibitor that reduces brain kinase activity. J Med Chem 60:
2983 – 2992 License: This is an open access article under the
terms of the Creative Commons Attribution 4.0
License, which permits use, distribution and reproduc-
tion in any medium, provided the original work is
properly cited. 18 The EMBO Journal ª 2017 The Authors
|
https://openalex.org/W4313477519
|
https://pure.eur.nl/ws/files/85479883/Proteomics_and_Metabolomics_Based_Analysis_of_Metabolic_Changes_in_a_Swine_Model_of_Pulmonary_Hypertension.pdf
|
English
| null |
Proteomics and Metabolomics Based Analysis of Metabolic Changes in a Swine Model of Pulmonary Hypertension
| null | 2,023
|
cc-by
| 9,599
|
Article Proteomics- and Metabolomics-
Based Analysis of Metabolic
Changes in a Swine Model of
Pulmonary Hypertension Payel Sen, Bachuki Shashikadze, Florian Flenkenthaler, Esther Van de Kamp, Siyu Tian,
Chen Meng, Michael Gigl, Thomas Fröhlich and Daphne Merkus Special Issue
Molecular Research on Pulmonary Hypertension 4.0
Edited by
Dr. Tatyana Novoyatleva Special Issue
Molecular Research on Pulmonary Hypertension 4.0
Edited by
Dr. Tatyana Novoyatleva Citation: Sen, P.; Shashikadze, B.;
Flenkenthaler, F.; Van de Kamp, E.;
Tian, S.; Meng, C.; Gigl, M.; Fröhlich,
T.; Merkus, D. Proteomics- and
Metabolomics-Based Analysis of
Metabolic Changes in a Swine Model
of Pulmonary Hypertension. Int. J. Mol. Sci. 2023, 24, 4870. https://
doi.org/10.3390/ijms24054870 Keywords: pulmonary hypertension; proteomic analysis; metabolomic analysis https://doi.org/10.3390/ijms24054870 International Journal of
Molecular Sciences International Journal of
Molecular Sciences International Journal of
Molecular Sciences Article
Proteomics- and Metabolomics-Based Analysis of Metabolic
Changes in a Swine Model of Pulmonary Hypertension Payel Sen 1,2, Bachuki Shashikadze 3, Florian Flenkenthaler 3, Esther Van de Kamp 4, Siyu Tian 4, Chen Meng 5,
Michael Gigl 5
, Thomas Fröhlich 3
and Daphne Merkus 1,2,4,* 1
Walter Brendel Center for Experimental Medicine (WBex), University Clinic Munich, LMU Munich,
81377 Munich, Germany 3
Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany
4
Division of Experimental Cardiology, Erasmus University Medical Center,
3015 GD Rotterdam, The Netherlands 5
Bavarian Center for Biomolecular Mass Spectrometry, Technical University Munich, 85354 Freising, Germany
*
Correspondence: daphne.merkus@med.uni-muenchen.de; Tel.: +31-624592486 5
Bavarian Center for Biomolecular Mass Spectrometry, Technical University Munich, 85354 Freising, Germany
*
Correspondence: daphne.merkus@med.uni-muenchen.de; Tel.: +31-624592486 Abstract: Pulmonary vein stenosis (PVS) causes a rare type of pulmonary hypertension (PH) by im-
pacting the flow and pressure within the pulmonary vasculature, resulting in endothelial dysfunction
and metabolic changes. A prudent line of treatment in this type of PH would be targeted therapy to
relieve the pressure and reverse the flow-related changes. We used a swine model in order to mimic
PH after PVS using pulmonary vein banding (PVB) of the lower lobes for 12 weeks to mimic the
hemodynamic profile associated with PH and investigated the molecular alterations that provide an
impetus for the development of PH. Our current study aimed to employ unbiased proteomic and
metabolomic analyses on both the upper and lower lobes of the swine lung to identify regions with
metabolic alterations. We detected changes in the upper lobes for the PVB animals mainly pertaining
to fatty acid metabolism, reactive oxygen species (ROS) signaling and extracellular matrix (ECM)
remodeling and small, albeit, significant changes in the lower lobes for purine metabolism. 1. Introduction Pulmonary hypertension (PH) due to pulmonary vein stenosis (PVS) is a life-threatening
disease, which mainly affects the pediatric population [1]. This type of PH, which ulti-
mately results in a left ventricular inflow tract obstruction, is classified under type II
PH [2]. PVS presents mostly with congenital heart defects (univentricular heart disease,
ventricular septal defect, atrial septal defect or persistent arterial duct), lung disease (bron-
chopulmonary dysplasia) or Down syndrome or other trisomy [3,4]. In rare cases, PVS can
also occur in adults because of radiofrequency ablation therapy after atrial fibrillation [5]. This particular type of PH is characterized by an initial passive increase in pulmonary
artery pressure brought on by increased resistance due to the banding. The increased
mean pulmonary artery pressure results in vascular remodeling, which further raises
pulmonary vascular resistance and causes an additional increase in pressure. Surgical inter-
ventions and/or stenting of the lesions in patients with PVS frequently lead to restenosis,
and the use of vasodilators comes with the risk for pulmonary edema [6]. The complex
molecular mechanisms involved in PH are limiting factors in the development of novel
therapeutic interventions. Academic Editor: Tatyana
Novoyatleva Received: 30 December 2022
Revised: 14 February 2023
Accepted: 18 February 2023
Published: 2 March 2023 Copyright:
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article
distributed
under
the
terms
and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/). Previous work by our group has shown that endothelial factors are important in the
development of PH in a swine model using pulmonary vein banding (PVB) of the lower
lobes for 12 weeks to induce type II PH [7]. This procedure results in areas of the lung with https://www.mdpi.com/journal/ijms Int. J. Mol. Sci. 2023, 24, 4870. https://doi.org/10.3390/ijms24054870 Int. J. Mol. Sci. 2023, 24, 4870 2 of 15 2 of 15 a varied hemodynamic profile within the lung; the lower lobes experience high pressure
and low flow (HF/LF) whereas the upper lobes experience high pressure and high flow
(HP/HF). High and low shear stress have very striking effects on the endothelial cells of
the lung vasculature. Endothelial cells typically respond to high shear stress with strong
nitric oxide synthesis, but they “activate” a pro-inflammatory profile at low shear stress,
characterized by low nitric oxide production [8]. In this study, we conducted a quantitative
LC-MS/MS-based proteomic analysis of lung samples along with untargeted metabolomics
from swine with PVB and control (Cntrl) swine. We analyzed tissues from the upper
and lower lobes to investigate how different hemodynamic profiles impact protein and
metabolite expression due to PH in the lobes. 2.1. Characteristics of Pulmonary Hypertension Using LC-MS/MS-based proteomics, we identified 5112 proteins with high
confidence (false discovery rate < 0.01) (Supplementary Data 1, Table S1). The dataset has
been submitted to the ProteomeXchange Consortium via the PRIDE partner repository with
the dataset identifier PXD038982 [9]. Differential abundance analysis revealed significant
differences between groups. The principal component analysis showed clustering of the
PVB animals compared to the Cntrls in the upper (HP/HF) lobe, whereas similar clustering
was absent in the lower lobe (HP/LF) (Figure 2A,B). Figure 2. Proteomic analysis of lung tissue of PVB vs. Cntrl animals. (A,B) Principal component
analysis (PCA) of proteome profiles from upper (A) and lower (B) lobe of Cntrl (n = 7) and PVB
animals (n = 6). Colored circles indicate individual animals. Red-filled circles are Cntrl and blue-filled
circles are PVB animals. Figure 2. Proteomic analysis of lung tissue of PVB vs. Cntrl animals. (A,B) Principal component
analysis (PCA) of proteome profiles from upper (A) and lower (B) lobe of Cntrl (n = 7) and PVB
animals (n = 6). Colored circles indicate individual animals. Red-filled circles are Cntrl and blue-filled
circles are PVB animals. In total, 104 proteins were found to be differentially abundant (Benjamini–Hochberg
corrected p-value < 0.05 and fold change ≥1.5) between PVB and Cntrl in the upper lobes
(Supplementary Data S1, Table S2). In the lower lobes, 52 proteins differed significantly in
abundance between PVB and Cntrl (Supplementary Data S1, Table S3). Volcano plots were
used to visualize proteome alterations between conditions (Figure 3A,B). In the upper lobe,
several apolipoproteins (APOF, APOA, APOC3), complement cascades (C6, C7, C8, C9)
and coagulation proteins (Serpins, HRG, PROC) were found to be downregulated in the
PVB animals, while several membrane transport proteins (SCGB1A1, SFTPA1) were found
to be upregulated. In the lower lobe, DNA binding and ribosomal proteins (H1-2, H1-1,
RPS6) were upregulated, while membrane remodeling proteins (GMPR, ALF1, SIGLEC1)
were downregulated. g
We performed a STRING preranked functional enrichment analysis of proteome pro-
files from the upper and lower lobe to reveal lobe-specific signatures for PVB and Cntrl
animals. 2.1. Characteristics of Pulmonary Hypertension Pulmonary vein banding in the PVB group animals resulted in significant stenosis
in the inferior pulmonary confluence as shown in the angiogram (Figure 1A). Twelve
weeks after banding, this resulted in a significantly higher mean pulmonary artery pressure
(38 ± 8 mmHg) in the PVB animals compared to the control (mean of 20 ± 4 mmHg,
p < 0.05) (Figure 1D) as well as an increased pulmonary vascular resistance and reduced
pulmonary artery compliance (Figure 1E,F). Figure 1. Pulmonary vein banding causes PH. (A) Angiogram of the inferior venous confluence of a
representative Cntrl (top) and PVB animal (bottom). (B,C) Picrosirius red staining of the lung upper
and lower lobe in Cntrl and PVB animals. (D–F) Mean pulmonary artery pressure (mPAP), total
pulmonary vascular resistance index (tPVRi) and pulmonary artery compliance in awake, resting
swine. PA—pulmonary artery, PV—pulmonary vein, Br—bronchiole. Values are means ± SEM. * p ≤0.05, *** ≤0.001, **** ≤0.0001. Scale bar: 100 µm. PVB vs. Cntrl by Student’s t-test, Cntrl n = 7;
PVB n = 6. Figure 1. Pulmonary vein banding causes PH. (A) Angiogram of the inferior venous confluence of a
representative Cntrl (top) and PVB animal (bottom). (B,C) Picrosirius red staining of the lung upper
and lower lobe in Cntrl and PVB animals. (D–F) Mean pulmonary artery pressure (mPAP), total
pulmonary vascular resistance index (tPVRi) and pulmonary artery compliance in awake, resting
swine. PA—pulmonary artery, PV—pulmonary vein, Br—bronchiole. Values are means ± SEM. * p ≤0.05, *** ≤0.001, **** ≤0.0001. Scale bar: 100 µm. PVB vs. Cntrl by Student’s t-test, Cntrl n = 7;
PVB n = 6. Histology of the lung tissue revealed more picrosirius red staining in the PVB animals
in the upper and lower lobe, depicting more fibrosis compared to the Cntrl (Figure 1B,C). Histology of the lung tissue revealed more picrosirius red staining in the PVB animals
in the upper and lower lobe, depicting more fibrosis compared to the Cntrl (Figure 1B,C). Int. J. Mol. Sci. 2023, 24, 4870 3 of 15 3 of 15 2.2. Proteomic Analysis of PVB vs. Control in the Upper and Lower Lobe To explore the chronic effects of flow and pressure alterations in the lung tissue, we
performed a label-free liquid chromatography–tandem mass spectrometry analysis (LC-
MS/MS) of PVB vs. Cntrl samples from the upper as well as the lower lobes (n = 6 for PVB;
n = 7 for Cntrl). 2.1. Characteristics of Pulmonary Hypertension (A,B) The quantitative proteome alterations are visualized via volcano plots in upper and lower lobes,
respectively, from PVB vs. Cntrl pigs. Color-filled circles (blue—upregulated, red—downregulated)
indicate differentially abundant proteins (Benjamini–Hochberg corrected p-value ≤0.05 and fold
change ≥1.5). (C) Functional characterization of differences between upper and lower lobes in PVB
and Cntrl animals. Heatmap shows GO-term enrichment in PVB compared to Cntrl. Cntrl (n = 7);
PVB (n = 6). 2.1. Characteristics of Pulmonary Hypertension From the Gene Ontology (GO) biological processes database, 67 and 7 significantly
enriched terms were found in the upper and lower lobe, respectively (enrichment factor >1)
(Figure 3C, Supplementary Data S1, Tables S4 and S5), PVB upper lobes showed a distinct
downregulation of proteins related to humoral immune regulation, lipoprotein particle
organization, cholesterol esterification and triglyceride homeostasis and an upregulation of Int. J. Mol. Sci. 2023, 24, 4870 4 of 15 4 of 15 proteins related to platelet degranulation, coagulation, cholesterol efflux and intermem-
brane lipid transport. Proteins related to the extracellular matrix were found to be both up-
as well as downregulated in PVB animals, indicating altered matrix turnover. In the lower
lobe, PVB showed fewer enriched pathways compared to the upper lobe. The majority
of the pathways were related to blood coagulation, extracellular matrix reorganization,
actin cytoskeletal organization and carbohydrate metabolism. Since ECM-related proteins
were altered in both lobes, we also compared the proteins in this pathway in both upper
and lower PVB lobes with the established lung matrix gene set and found several proteins
(collagens, serpins, etc.) that were differentially regulated (Supplementary Figure S1A) [10]. Figure 3. Quantitative and functional analysis of upper and lower lobe of PVB vs. Cntrl anim
(A,B) The quantitative proteome alterations are visualized via volcano plots in upper and lower lo
respectively, from PVB vs. Cntrl pigs. Color-filled circles (blue—upregulated, red—downregula
indicate differentially abundant proteins (Benjamini–Hochberg corrected p-value ≤0.05 and
change ≥1.5). (C) Functional characterization of differences between upper and lower lobes in
and Cntrl animals. Heatmap shows GO-term enrichment in PVB compared to Cntrl. Cntrl (n
PVB (n = 6). 2.3. Metabolomic Profiling of the Lower and Upper Lobe versus Control
Next, we performed untargeted metabolomics on these lung tissues to better un Figure 3. Quantitative and functional analysis of upper and lower lobe of PVB vs. Cntrl animals. (A,B) The quantitative proteome alterations are visualized via volcano plots in upper and lower lobes,
respectively, from PVB vs. Cntrl pigs. Color-filled circles (blue—upregulated, red—downregulated)
indicate differentially abundant proteins (Benjamini–Hochberg corrected p-value ≤0.05 and fold
change ≥1.5). (C) Functional characterization of differences between upper and lower lobes in PVB
and Cntrl animals. Heatmap shows GO-term enrichment in PVB compared to Cntrl. Cntrl (n = 7);
PVB (n = 6). Figure 3. Quantitative and functional analysis of upper and lower lobe of PVB vs. Cntrl animals. 2.3. Metabolomic Profiling of the Lower and Upper Lobe versus Control Next, we performed untargeted metabolomics on these lung tissues to better under-
stand the ongoing metabolic alterations caused by variations in flow and pressure. To
detect the relevant metabolites, we used statistical analysis with XCMS and MetaboAnalyst
5:0 software. Supplementary Data S2, Table S1 lists the metabolites that were detected Int. J. Mol. Sci. 2023, 24, 4870 5 of 15 5 of 15 in the HILIC-negative mode MS. On the MetaboAnalyst platform, a 3D PCA analysis
(Figure 4A,B) and a supervised orthogonal partial least squares discriminant analysis
(OPLS-DA) (Figure 4C,D) were performed for both the upper and lower lobes. In the
upper lobe, 3D PCA and OPLS-DA analysis revealed separation between the PVB and
Cntrl groups. Similar to the case for our proteomics findings, the lower lobe groups did not
show a clear separation in metabolomics either. The OPLS-DA analysis also allowed for
the identification of the metabolites that contributed the most to group segregation, known
as variable importance in the projection (VIP) scores, and they were ranked accordingly
(Figure 5A). Metabolites with a VIP score of ≥1 were interpreted as highly influential
(Supplementary Data S2, Tables S2 and S4), and we performed an enrichment analysis of
metabolites with p < 0.05 to differentiate control from PVB animals (Figure 5B). In compari-
son to Cntrl, we found 82 such metabolites in the PVB upper lobe (Supplementary Data
S2, Table S3) and 29 metabolites in the PVB lower lobe (Supplementary Data S2, Table S5). Enrichment analysis for the PVB upper lobe revealed 25 metabolic pathways, of which the
following six pathways had a p-value of <0.05: linoleic acid metabolism, ubiquinone biosyn-
thesis pathway, transfer of acetyl groups into mitochondria, arginine, proline metabolism
and glycerolipid metabolism. The lower lobe showed enrichment of 11 pathways, but
none were significantly altered (p < 0.05). We detected the pathway for purine metabolism
(p = 0.06) to be the most differentially regulated (Supplementary Figure S2). Figure 4. Metabolomic analysis in the upper and lower lobe of PVB vs. Cntrl animals. (A,B) Thre
dimensional PCA analysis based on metabolic profiles of PVB and Cntrl animals in the upper an
lower lobe in negative mode (HILIC). (C,D) OPLS-DA analysis based on metabolic profiles of PV
and Cntrl animals in upper and lower lobe in negative mode (HILIC). n = 6 in each group. Figure 4. Metabolomic analysis in the upper and lower lobe of PVB vs. Cntrl animals. 2.3. Metabolomic Profiling of the Lower and Upper Lobe versus Control (A,B) Three-
dimensional PCA analysis based on metabolic profiles of PVB and Cntrl animals in the upper and
lower lobe in negative mode (HILIC). (C,D) OPLS-DA analysis based on metabolic profiles of PVB
and Cntrl animals in upper and lower lobe in negative mode (HILIC). n = 6 in each group. Int. J. Mol. Sci. 2023, 24, 4870 6 of 15 Figure 5. Metabolomic analysis in the upper lobe of PVB vs. Cntrl animals. (A) Metabolites ranked
by Variable importance in the projection score (VIP) > 1 in PVB vs. Cntrl pigs in upper lobes based
on OPLS-DA analysis. (B) Pathway analysis based on KEGG database of the enriched metabolites
(VIP > 1 and p-value < 0.05 in the upper lobe of PVB vs. Cntrl swine. n = 6 in each group. The size of
the dots represents the enrichment ratio and the shade of the color represent the −log 10 (p value). 2 4 N
k A
l
i
f P
i
d M
b l
i
D Figure 5. Metabolomic analysis in the upper lobe of PVB vs. Cntrl animals. (A) Metabolites ranked
by Variable importance in the projection score (VIP) > 1 in PVB vs. Cntrl pigs in upper lobes based
on OPLS-DA analysis. (B) Pathway analysis based on KEGG database of the enriched metabolites
(VIP > 1 and p-value < 0.05 in the upper lobe of PVB vs. Cntrl swine. n = 6 in each group. The size of
the dots represents the enrichment ratio and the shade of the color represent the −log 10 (p value). 2.4. Network Analysis of Proteomics and Metabolomics Datasets They functionally connected with the downregulated the enzyme guanosine monophos-
phate reductase (GMPR) and HPRT1 in the PVB lower lobe. Furthermore, the metabolite
guanosine monophosphate was connected to the interferon-induced guanylate binding
protein (GBP1). Figure 6. Interaction network analysis of the metabolites and proteins from metabolomics
and proteomics. (A) Metabolite–metabolite interaction network for the most enriched metabo-
lites in the upper lobe of PVB vs. Cntrl. Labeled and red-filled circles represent the upregu-
lated metabolites, and green-filled circles represent the downregulated metabolites detected
in the PVB group. Metabolites clustered in green background represent metabolites partici-
pating in fatty acid metabolism, red background—ROS pathway; blue—ECM remodeling and
yellow—glucose metabolism. (B) Gene–metabolite network analysis for the significantly altered
proteins and enriched metabolites for upper lobe of PVB vs. Cntrl. The red-filled squares repre-
sent the downregulated proteins, and green-filled circles represent the upregulated metabolites
detected in the PVB group. Metabolites of VIP > 1 with p-value < 0.05 and proteins with fold
change > 1.3 and Benjamini–Hochberg-adjusted p-value < 0.05 were used for the analysis. The
proteins and metabolites belonging to one GO term are encircled together. Figure 6. Interaction network analysis of the metabolites and proteins from metabolomics
and proteomics. (A) Metabolite–metabolite interaction network for the most enriched metabo-
lites in the upper lobe of PVB vs. Cntrl. Labeled and red-filled circles represent the upregu-
lated metabolites, and green-filled circles represent the downregulated metabolites detected
in the PVB group. Metabolites clustered in green background represent metabolites partici-
pating in fatty acid metabolism, red background—ROS pathway; blue—ECM remodeling and
yellow—glucose metabolism. (B) Gene–metabolite network analysis for the significantly altered
proteins and enriched metabolites for upper lobe of PVB vs. Cntrl. The red-filled squares repre-
sent the downregulated proteins, and green-filled circles represent the upregulated metabolites
detected in the PVB group. Metabolites of VIP > 1 with p-value < 0.05 and proteins with fold
change > 1.3 and Benjamini–Hochberg-adjusted p-value < 0.05 were used for the analysis. The
proteins and metabolites belonging to one GO term are encircled together. 2.4. Network Analysis of Proteomics and Metabolomics Datasets A combined analysis of the two omics datasets was carried out in order to identify com-
monly altered pathways and to provide additional insight into the process of pulmonary
vascular remodeling. The metabolite–metabolite and the gene–metabolite interaction net-
works provide an overview of functionally related metabolites and proteins found to be
most differentially abundant in metabolomics and proteomics. The metabolite–metabolite
pathway interaction network derived from the KEGG database is shown in Figure 6A and
highlights functional interactions among the top altered metabolites such as oleic acid,
linoleic acid, palmitic acid, prostaglandin E2 and L-malic acid, butyric acid, NADP, proline,
threonine, S-adenosylhomocysteine and arachidonic acid. Next, the most significantly
altered proteins and metabolites identified were mapped to the gene–metabolite molecu-
lar interactions to create a network (Figure 6B). The network includes 31 nodes (protein,
metabolites) and shows that the metabolites (squares) are upregulated whereas the proteins
(filled circles) are downregulated. The metabolite chondroitin sulfate, a major component
of the extracellular matrix (ECM), is upregulated in the upper lobe of the PVB group and
formed a network with proteins important for wound healing such as serpinc1, serpinD1,
F12, PROC, VTN, AMBP and TNC. Plasminogen (PLG), another prominent protein in-
volved in wound healing and ECM remodeling, is functionally linked to both chondroitin
sulfate and oleic acid. The PVB upper lobe was enriched in oleic acid, linoleic acid, palmitic
acid, butyric acid and arachidonic acid, which formed a network with downregulated
proteins in the PVB group such as ApoA1, ApoB, AdipoQ and ALB. These proteins and
metabolites together participate in fatty acid metabolism. Prostaglandin E2, a common
byproduct of arachidonic acid, is also upregulated in the PVB upper lobe and has formed a
network with complement cascade members C8A and C3 as well as the chemokine PPBP,
which are involved in inflammation. Finally, the monosaccharide metabolite glucose was
downregulated in the upper lobe and functionally linked with the surfactant protein SFPTD
and the blood coagulation protein HBB, indicating altered glucose metabolism. The PVB
lower lobe presented with a metabolite–metabolite interaction network involving only Int. J. Mol. Sci. 2023, 24, 4870 7 of 15 7 of 15 four metabolites: guanosine monophosphate, inosinic acid, glyceric acid and dodecanoic
acid (Supplementary Figure S3A). The gene metabolite network showed a simple network
involving only guanosine monophosphate and inosinic acid (Supplementary Figure S3B). 2.5. Protein and Transcriptional Regulation of Fatty Acid Uptake in the Upper Lobe The protein abundance of members of apolipoproteins in the upper lobe as well as the
lower lobe was further compared in dot plot analysis, and members of this fatty acid uptake
pathway were validated at a transcriptional level (Figure 7A–C, Supplementary Figure S4A). ApoE was found to be significantly altered in both proteomics as well as at the transcrip-
tional level in the upper lobe of the PVB group. In addition, further transcripts coding
for proteins important for fatty acid uptake such as CD36 (p = 0.1) showed a trend to-
ward a decrease in the PVB upper lobe compared to Cntrls along with significant up-
regulation of the LDLR (low-density lipoprotein receptor). In contrast, we did not see Int. J. Mol. Sci. 2023, 24, 4870 8 of 15 similar changes at the mRNA level for these proteins in the lower lobe of PVB compared
to Cntrls. Figure 7. Fatty acid uptake pathway in the upper lobe at the protein and mRNA level. (A) Protein
abundance of apolipoproteins that were significantly changed (Benjamini–Hochberg corrected p-
value ≤0.05) between PVB compared to Cntrls in the upper and lower lobes are depicted as dots. n = 6 per group. (B–E) mRNA level of APOA, APOE, CD36 and LDLR, respectively, are expressed
relative to the mean expression of the sham animals (values are mean +/−SEM. * p < 0.05, ** p < 0.01
Students’s t-test n = 5 animals per group). Figure 7. Fatty acid uptake pathway in the upper lobe at the protein and mRNA level. (A) Protein
abundance of apolipoproteins that were significantly changed (Benjamini–Hochberg corrected p-
value ≤0.05) between PVB compared to Cntrls in the upper and lower lobes are depicted as dots. n = 6 per group. (B–E) mRNA level of APOA, APOE, CD36 and LDLR, respectively, are expressed
relative to the mean expression of the sham animals (values are mean +/−SEM. * p < 0.05, ** p < 0.01
Students’s t-test n = 5 animals per group). 3. Discussion The main findings in this study were that (i) chronic alterations in flow and pressure
induced by PVB impact the proteomic and metabolomic profile in the lung tissue and
result in increased ECM and collagen production in lobes with both HP/HF and HP/LF;
(ii) upper lung lobes with HP/HF adapt by altering the fatty acid metabolism as well as
ROS signaling and (iii) the lower lobes with HP/LF increase their purine metabolism in
order to cope with the increased demand of cellular proliferation (Figure 8). p
p
g
We have previously demonstrated that PH caused by pulmonary vein stenosis results
in a progressive increase in pulmonary vascular resistance, which is accompanied by func-
tional (increased contribution of endothelin, phosphodiesterase 5) as well as structural
(increased media thickness) pulmonary vascular remodeling [7,11]. Banding of the conflu-
ence of veins from the lower lobes results in areas of the lungs with distinct hemodynamic
profiles: HP/HF in the unbanded upper lobes and HP/LF in the banded lobes. This
model is, therefore, well suited for the study of mechano-metabolic coupling and its role
in pulmonary vascular remodeling in PH, as it has been demonstrated that metabolic and
structural changes are coupled to each other [12]. Here, we present a thorough proteome
and metabolome profile analysis of lung tissue with these distinct mechanical profiles. Pathway enrichment analysis in PVB animals demonstrated changes in several pathways
that have been associated with the progression of PH. Thus, alterations were observed
for extracellular matrix proteins involving integrins, matrix metalloproteases, collagen,
vitronectin, serpins and others observed in both lobes of the animals. This is in accordance Int. J. Mol. Sci. 2023, 24, 4870 9 of 15 9 of 15 with our histological data, suggesting increased ECM deposition around the vessels. We
also detected high amounts of phosphatidylcholine (PC) as well as prostaglandins, which
indicate plasma membrane break and inflammatory signaling due to high shear stress [13]. In line with these findings, the comparison with the lung matrix database revealed that
further extracellular matrix proteins were altered in the upper and lower lobes of PVB
swine (Supplementary Figure S1A). ECM proteins such as FGB, COL1A and COL15A1 were
significantly upregulated in the PVB lower lobe, whereas in the upper lobe, the analysis
revealed synergistic downregulation of extracellular proteolytic proteins such as MMP9
and serpins [14,15]. Figure 8. Schematic illustration of the metabolic pathways altered in PVB. 3. Discussion 2023, 24, 4870 10 of 15 10 of 15 reflects inhibition of mitochondrial fatty acid β-oxidation and has been previously shown
to be involved in the development of PH [22]. p
In keeping with studies from Umar et al. who showed higher oxidized LDL in the
lungs and plasma in PH with a decrease in CD36, our proteomic analysis did detect
modifications of pathways regulating cholesterol levels consisting primarily of the down-
regulation of fatty acid transporters such CD36 and LDLRAP1 [23]. Along with this, we
detected significant upregulation of the protein LDLR in the PVB upper lobe. LDLR mainly
binds to apolipoprotein B100 (APOB) and APOE to clear cholesterol from the blood [24]. Both ApoB and ApoE are high-affinity ligands for LDLR and are expressed in various
immune and vascular cells [24,25]. Negative feedback inhibition from transcriptional and
posttranscriptional mechanisms closely controls the LDLR pathway, and disruption of
this tightly controlled pathway can influence lipid and cholesterol regulation [26]. These
data are also in accordance with integrated proteomic and metabolomics data on HUVECs
presented by Venturini et al., showing that high shear stress upregulates the lipoprotein
metabolism and increases the expression of LDLR [27]. p
Additionally, we found metabolites such as oxaloacetic acid and L-malic acid, both
intermediate products of the TCA cycle, to be enriched in the PVB upper lobe along
with decreased glucose. These metabolites take part in anaplerotic reactions in which
the intermediate metabolites exit the TCA cycle and are used by proliferating cells due
to an increased demand for protein and fatty acids in PH [12]. These data support the
presence of the Warburg effect, showing that glucose metabolism is increased in PH [28–31]. Further evidence for this Warburg effect is the lower amount of NADP in the PVB upper
lobe. NADP maintains the redox balance in the cells and supports the biosynthesis of
the fatty acids and is essential for maintaining a large number of biological processe [32]. In agreement with this finding, Nukula et al. reported a lower NADPH/NADP ratio
in CTEPH patients’ endothelial cells compared to healthy subjects, implying increased
oxidative stress and endothelial cell dysfunction [30]. A key metabolite that was downregulated in the PVB upper lobe and deemed impor-
tant from our network analysis was S-adenosylhomocysteine (SAH). 3. Discussion The blue-labeled metabo-
lites and proteins are differentially expressed in the upper lobe, which is under high shear stress, and
the green-labeled ones are differentially expressed in the lower lobe, which is under low shear stress. Pathways or metabolites/proteins labeled in red are found to be altered in both the lobes. 3PG—3-
phosphoglyceric acid, SAM—S-adenosyl methionine, SAH—S-adenosylhomocysteine, NO—nitric
oxide, PC—phosphatidyl choline, OAA—oxaloacetic acid. Figure 8. Schematic illustration of the metabolic pathways altered in PVB. The blue-labeled metabo-
lites and proteins are differentially expressed in the upper lobe, which is under high shear stress, and
the green-labeled ones are differentially expressed in the lower lobe, which is under low shear stress. Pathways or metabolites/proteins labeled in red are found to be altered in both the lobes. 3PG—3-
phosphoglyceric acid, SAM—S-adenosyl methionine, SAH—S-adenosylhomocysteine, NO—nitric
oxide, PC—phosphatidyl choline, OAA—oxaloacetic acid. Strikingly, proteins of the apolipoprotein family were significantly altered in abun-
dance in PVB animals. The key protein component of HDL-C, apolipoprotein A (APOA),
which was downregulated in the upper lobe, was not shown to be differentially regulated
in the lower lobe. Downregulation of APOA1 is in accordance with data showing that
ApoA-1 is less prevalent in PH, which contributes to oxidative stress and endothelial
dysfunction [16]. Furthermore, administration of a peptide mimetic of ApoA-1 reduced
pulmonary hypertension in rodent models with PH [17]. Along with ApoA, we also de-
tected significantly reduced levels of ApoE at the proteomics as well as at the transcription
level in the PVB upper lobe. The metabolomics data in the upper lobe further point to an
ongoing alteration of lipid homeostasis and detected increased fatty acids such as oleic acid,
linoleic acid, arachidonic acid and palmitic acid in the PVB group, indicating a reduced
uptake of fatty acids due to decreased levels of apolipoproteins [18]. High amounts of
linoleic and oleic acids have been found to significantly lower nitric oxide (NO) levels in
endothelial cells and exert their deleterious effects via ROS [11,19,20]. It has been shown
that HIF-1α activation, a common dysregulated pathway in PH and lung diseases, can
inhibit β-oxidation of long-chain fatty acids leading to accumulation of fatty acids [21]. However, we did not detect increased accumulation of carnitine and acyl-carnitine, which Int. J. Mol. Sci. 3. Discussion Asymmetric dimethyl
arginine (ADMA), a negative regulator of endothelial nitric oxide synthase, is formed
by the hydrolysis of methylated proteins, and the methylated proteins are derived when
S-adenosyl methionine (SAM) is converted to SAH. We also simultaneously observed
increased aspartic arginine (VIP > 1, Supplementary Data S2, Table S2), which is a source of
NO in endothelial cells, in the upper lobe of the PVB group [23,24]. In our previous work,
we have shown that NO production is increased in HP/HF areas, likely as a compensatory
mechanism to maintain vasodilation [33]. Our current data suggest that low SAH, and
hence low ADMA, in combination with high arginine, the substrate for endothelial NO
synthesis, facilitates NO synthesis in the PVB upper lobe vasculature. y
y
pp
Notably, proteomic and metabolic alterations were less pronounced between PVB and
Cntrls in the lower lobes. The STRING analysis points to reduced glucose synthesis in
the PVB lower lobes, which supports the notion that glycolysis predominates over other
metabolic activities in PH in the lower lobes as well [22]. Another intriguing observation
was that the purine pathway metabolites adenosine monophosphate (AMP) and guanosine
monophosphate (GMP) were significantly enriched, and the enzyme guanosine monophos-
phate reductase (GMPR), which converts GMP to inosine monophosphate (IMP), was
downregulated. Additionally, our proteome data revealed that the PVBs had a decreased
abundance of the enzyme HPRT, which transforms hypoxanthine into IMP and is crucial
for the salvage pathway for recycling nucleotides [34]. We also found more inosine in the
metabolome of PVB lower lobes, which indicated that the cells increased de novo purine
production rather than using the standard active salvage pathway. These data are consistent
with the study by Hautbergue et al., wherein modifications to the purine metabolic pathway
in the right ventricle and plasma of PH rats were shown [35]. The purine metabolite levels
in endothelial cells from PAH patients have also been found to be higher, the same was
true for the serine to glycine ratio, which is mediated by the mitochondrial enzyme serine Int. J. Mol. Sci. 2023, 24, 4870 11 of 15 11 of 15 hydroxymethytransferase (SHMT) [36]. Although SHMT was unchanged in our lung tissue
samples, we did observe an increase in the metabolite serine (VIP > 1) in the PVB lower
lobes (Supplementary Data 2, Table S4). 4. Materials and Methods Lung tissue was used from experiments that have previously been published [7,11,33]. These experiments followed the guiding principles in the care and use of laboratory animals,
which are endorsed by the Council of the American Physiological Society, and the protocol
was approved by the Animal Care Committee at Erasmus University Medical Center
(EMC3158, 109-13-09). 3. Discussion Moreover, in atherosclerosis models, it has been
shown that vessels with low flow and shear stress have decreased endothelial nitric oxide
synthase (eNOS) along with increased cell proliferation and collagen deposition [31]. 4.2. Real-Time Quantitative PCR of Lung Tissue Lung tissue was snap-frozen and 30 mg of tissue was homogenized, and mRNA was
extracted using the RNeasy Fibrous Tissue Mini kit (Qiagen, Hilden, Germany). cDNA
was synthesized using 500 ng of mRNA and the SenSi FAST cDNA synthesis kit (Bioline,
London, UK). Target genes were normalized against beta-actin and cyclophilin using the
CFX manager software 3.1 (BioRad, CA, USA). Relative gene expression was calculated
using the delta–delta Ct method. 4.1. Outline of Study For all surgical procedures, swine were sedated with an intramuscular injection of
a mixture of tiletamine/zolazepam (5 mg kg−1, Virbac, Barneveld, The Netherlands), xy-
lazine (2.25 mg kg−1, AST Pharma, Oudewater, The Netherlands) and atropine
(0.5 mg) and intubated and ventilated (O2:N2 (1:2)). Isoflurane (2% vol/vol, Pharmachemie,
Haarlem, The Netherlands) was added to the gas mixture to induce anesthesia. Post-
surgical analgesia was administered by means of an i.m. injection (0.3 mg buprenorphine
i.m. Indivior, Slough, UK) and a fentanyl slow-release patch (6 or 12 µg h−1 depending on
body weight, 72 h). Crossbred Landrace x Yorkshire pigs of either sex (8 ± 2 kg) underwent non-restrictive
inferior pulmonary vein banding (n = 6) via the third right intercostal space or a sham pro-
cedure (n = 7). All 13 animals, underwent chronic instrumentation 4 weeks later, enabling
hemodynamic assessments on awake animals. Following a left-sided thoracotomy in the
fourth intercostal space, fluid-filled catheters (Braun Medical Inc., Bethlehem, PA, USA),
were inserted in the aorta, the pulmonary artery, the left and right ventricle and the left
atrium for the measurement of blood pressure. A flow probe (20PAU, Transonic systems,
Ithaca, NY, USA) was placed around the ascending aorta for the measurement of cardiac
output. Aorta flow was indexed to bodyweight. The total pulmonary vascular resistance
index was calculated as the ratio of mean PAP and cardiac index, while pulmonary vascular
compliance was calculated as stroke volume index/(systolic PAP −diastolic PAP). Hemo-
dynamics were recorded (WinDaq, Dataq Instruments, Akron, OH, USA) in the awake
state, with swine standing quietly, and analyzed offline using a custom written program
(Matlab, version R2007b, The MathWorks). Twelve weeks after the PVB procedure, swine were re-anesthetized; the thorax was
opened using sternotomy, and the heart and lungs were excised, snap-frozen in liquid
nitrogen and processed for further analysis. 4.2. Real-Time Quantitative PCR of Lung Tissue 4.3. Proteomics 4.3.1. Sample Preparation for Proteome Analysis 4.3.2. Nano-Liquid Chromatography (LC)–Tandem Mass Spectrometry (MS) Analysis
and Bioinformatics 4.3.2. Nano-Liquid Chromatography (LC)–Tandem Mass Spectrometry (MS) Analysis
and Bioinformatics 1 µg of the digest was injected on an UltiMate 3000 nano-LC system coupled online to
a Q Exactive HF-X instrument operated in the data-dependent acquisition (DDA) mode. Peptides were transferred to a PepMap 100 C18 trap column (100 µm × 2 cm, 5 µM parti-
cles, Thermo Fisher Scientific) and separated on an analytical column (PepMap RSLC C18,
75 µm × 50 cm, 2 µm particles, Thermo Fisher Scientific) at a 250 nL/min flow rate with
a 160 min gradient of 3–25% of solvent B followed by a 10 min ramp to 40% and a 5 min
ramp to 85%. Solvent A consisted of 0.1% formic acid in water and solvent B of 0.1% FA in
acetonitrile. MS spectra were acquired using a top-15 data-dependent acquisition method
on a Q Exactive HF-X mass spectrometer. Protein identification was carried out using
MaxQuant (v.1.6.7.0) [37] and the NCBI RefSeq Sus scrofa database (v.7-5-2020). All statisti-
cal analyses and data visualization were performed using R (https://www.r-project.org/)
(accessed on 29 December 2022). Prior to statistical analysis, potential contaminants,
only identified by site and reverse hits were excluded. Proteins with at least two pep-
tides detected in at least three samples of each condition were quantified using the
MS-EmpiRe algorithm as previously described [38,39]. The R script used for quantita-
tive analysis is available at https://github.com/bshashikadze/pepquantify (accessed on
7 September 2022). Proteins with a Benjamini–Hochberg corrected p-value ≤0.05 and fold
change ≥1.5 were regarded as significantly altered. Preranked gene set enrichment anal-
ysis using STRING was employed to reveal biological processes related to differentially
abundant proteins [40]. Signed (based on fold change) and log-transformed p-values were
used as ranking metrics and the false discovery rate was set to 1%. The redundancy of the
significantly enriched biological processes was minimized using REVIGO tool [41]. 4.3.1. Sample Preparation for Proteome Analysis Frozen lung tissue samples were placed into precooled tubes and cryopulverized in
a CP02 Automated Dry Pulverizer (Covaris, Woburn, MA, USA) with an impact level of
5 according to the manufacturer’s instructions. Tissue lysis was performed in 8 M urea/
0.5 M NH4HCO3 with ultrasonication (18 cycles of 10 s) using a Sonopuls HD3200 (Bandelin, Int. J. Mol. Sci. 2023, 24, 4870 12 of 15 Berlin, Germany). Total protein concentration was quantified using a Pierce 660 nm Protein
Assay (Thermo Fisher Scientific, Rockford, IL, USA). Fifty micrograms of protein were
digested sequentially, firstly with Lys-C (FUJIFILM Wako Chemicals Europe GmbH, Neuss,
Germany) for 4 h and, subsequently, with modified porcine trypsin (Promega, Madison,
WI, USA) for 16 h at 37 ◦C. Berlin, Germany). Total protein concentration was quantified using a Pierce 660 nm Protein
Assay (Thermo Fisher Scientific, Rockford, IL, USA). Fifty micrograms of protein were
digested sequentially, firstly with Lys-C (FUJIFILM Wako Chemicals Europe GmbH, Neuss,
Germany) for 4 h and, subsequently, with modified porcine trypsin (Promega, Madison,
WI, USA) for 16 h at 37 ◦C. 4.4. Metabolomics Approximately 50 mg of sample material was weighed in a 2 mL bead beater tube
(CKMix, Bertin Technologies, Montigny-le-Bretonneux, France) filled with 2.8 mm and
5.0 mm ceramic beads. Then, 1 mL of a methanol/water mixture (70/30, v/v) was added,
and the samples were extracted with a bead beater (Precellys Evolution, Bertin Technolgies,
Montigny-le-Bretonneux, France) supplied with a Cryolys cooling module 3 times each for
20 s with 15 s breaks in between at 10,000 rpm. After centrifugation at 13,000 U/min for
10 min, the supernatants were dried by vacuum centrifugation, suspended in 150 µL of
methanol/water (70/30, v/v) and subjected to MS analysis. j
y
Untargeted analysis was carried out on a Nexera UHPLC system connected to a
Q-TOF mass spectrometer (TripleTOF 6600, AB Sciex, MA, USA). Chromatographic
separation was achieved by using a HILIC UPLC BEH Amide 2.1 × 100, 1.7 µm column
with a 0.4 mL/min flow rate. The mobile phase consisted of 5 mM ammonium acetate
in water (eluent A) and 5 mM ammonium acetate in acetonitrile/water (95/5, v/v)
(eluent B). The following gradient profile was used: 100% B from 0 to 1.5 min, 60% B at
8 min, 20% B at 10 min to 11.5 min and 100% B at 12 to 15 min. Aliquots of 5 µL per
sample were injected into the UHPLC-TOF-MS. The autosampler was cooled to 10 ◦C,
and the column oven was heated to 40 ◦C. A quality control (QC) sample was pooled
from all samples and injected after every 10 samples. MS settings in the positive mode
were as follows: gas 1 55, gas 2 65, curtain gas 35, temperature 500 ◦C, ion spray voltage
5500, declustering potential 80. The mass range of the TOF-MS scans was 50–2000 m/z,
and the collision energy was ramped from 15 to 55 V. MS settings in the negative mode
were as follows: gas 1 55, gas 2 65, cur 35, temperature 500 ◦C, ion spray voltage −4500, Int. J. Mol. Sci. 2023, 24, 4870 13 of 15 13 of 15 declustering potential −80. The mass range of the TOF-MS scans was 50–2000 m/z,
and the collision energy was ramped from −15 to −55 V. gy
p
The “msconvert” tool from ProteoWizard [42] was used to convert raw files to mzXML
(denoised by centroid peaks). The bioconductor/R package xcms [43] was used for data
processing and feature identification. 4.4. Metabolomics More specifically, the matched filter algorithm was
used to identify peaks (full width at half maximum set to 7.5 s). Then the peaks were
grouped into features using the “peak density” method. The area under the peak was
integrated to represent the abundance of features. The retention time was adjusted based
on the peak groups presented in most samples. To annotate features with the names of
metabolites, the exact mass and MS2 fragmentation pattern of the measured features were
compared to the records in HMBD [44] and the public MS/MS spectra in MSDIAL [45],
referred to as MS1 and MS2 annotation, respectively. Missing values were imputed with
half of the limit of detection (LOD) methods, i.e., for every feature, the missing values
were replaced with half of the minimal measured value of that feature in all measurements. To confirm that an MS2 spectrum was well annotated, we manually reviewed our MS2
fragmentation pattern and compared it with records in the public database or previously
measured reference standards to evaluate the correctness of the annotation. The MetaboAnalyst 5.0 platform was utilized to conduct multivariate data analysis,
for PCA and OPLS-DA. The contribution of each variable to the classification was indicated
by the VIP value that was calculated in the OPLS-DA model after Pareto scaling. The
Student’s t-test at the univariate level was further employed to measure the significance of
metabolites with VIP > 1.0. Metabolites with a p-value < 0.1 were considered as differential
metabolites, while those with a p-value < 0.05 were recognized as statistically significant
differential metabolites. Enrichment analysis and network analysis was performed using
only the significant metabolites and significant genes using the KEGG pathway database. 5. Conclusions In conclusion, our combined omics study showed PVB-related key metabolic alter-
ations in a compartment-specific manner. The combination of a model of PH, with specific
changes in shear stress in different areas of the lung, with proteome and metabolomic
data shows that particular metabolic pathways, including fatty acid absorption and purine
synthesis, are altered in early PH. Such a deeper understanding of the metabolic changes in
lung tissue may provide new targets for therapy and may, thereby, pave the way for new
avenues in precision medicine for PH. Supplementary Materials: The following supporting information can be downloaded at https:
//www.mdpi.com/article/10.3390/ijms24054870/s1. Author Contributions: Conceptualization, P.S. and D.M.; methodology, P.S., B.S., F.F., M.G. and C.M.;
validation, P.S., B.S., E.V.d.K.; data curation, P.S., B.S.; S.T. and C.M.; draft preparation, P.S. and D.M.;
reviewing, T.F., B.S., D.M. and M.G. All authors have read and agreed to the published version of
the manuscript. Funding: This study was supported by the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie Grant Agreement No. 812660 (DohART-NET) (for
B.S. and T.F.), the Friedrich Bauer Foundation Reg Nr-28/21 (for P.S.) as well as by the German Center
for Cardiovascular Research (DZHK81Z0600207 to D.M. and P.S.) and the Dutch CardioVascular
Alliance: An initiative with support of the Dutch Heart Foundation (Grants 2020B008 RECONNEXT
to D.M.). Institutional Review Board Statement: These experiments followed the guiding principles in the
care and use of laboratory animals, which are endorsed by the Council of the American Physiological
Society, and the protocol was approved by the Animal Care Committee at Erasmus University
Medical Center (EMC3158, 109-13-09). Int. J. Mol. Sci. 2023, 24, 4870 14 of 15 14 of 15 Data Availability Statement: The mass spectrometry proteomics dataset has been deposited to
the PRIDE repository, dataset identifier PXD038982. The untargeted metabolomics data have been
uploaded to the MassIVE database https://massive.ucsd.edu/ProteoSAFe/static/massive.jsp with
ID: MSV000090966 (accessed on 24 December 2022). Conflicts of Interest: The authors declare no conflict of interest. Conflicts of Interest: The authors declare no conflict of interest. References Proteomics 2012, 11, M111.0 11. Du, X.; Edelstein, D.; Obici, S.; Higham, N.; Zou, M.-H.; Brownlee, M. Insulin resistance reduces arterial prostacyclin synthase
and eNOS activities by increasing endothelial fatty acid oxidation. J. Clin. Investig. 2006, 116, 1071–1080. [CrossRef] [PubMed] 11. Du, X.; Edelstein, D.; Obici, S.; Higham, N.; Zou, M.-H.; Brownlee, M. Insulin resistance reduces arterial prostacyclin synthase
and eNOS activities by increasing endothelial fatty acid oxidation. J. Clin. Investig. 2006, 116, 1071–1080. [CrossRef] [PubMed]
12. Rafikova, O.; Al Ghouleh, I.; Rafikov, R. Focus on Early Events: Pathogenesis of Pulmonary Arterial Hypertension Development. and eNOS activities by increasing endothelial fatty acid oxidation. J. Clin. Investig. 2006, 116, 1071–1080. [CrossRef] [PubMed]
12. Rafikova, O.; Al Ghouleh, I.; Rafikov, R. Focus on Early Events: Pathogenesis of Pulmonary Arterial Hypertension Development. Antioxid. Redox Signal. 2019, 31, 933–953. [CrossRef] [PubMed] 12. Rafikova, O.; Al Ghouleh, I.; Rafikov, R. Focus on Early Events: Pathogenesis of Pulmonary Arterial Hypertension Development. Antioxid. Redox Signal. 2019, 31, 933–953. [CrossRef] [PubMed] 13. Villalba, N.; Baby, S.; Yuan, S.Y. The Endothelial Glycocalyx as a Double-Edged Sword in Microvascular Homeostasis and
Pathogenesis. Front. Cell Dev. Biol. 2021, 9, 711003. [CrossRef] [PubMed] g
14. Thenappan, T.; Chan, S.Y.; Weir, E.K. Role of extracellular matrix in the pathogenesis of pulmonary arterial hypertension. Am. J. Physiol. Circ. Physiol. 2018, 315, H1322–H1331. [CrossRef] [PubMed] 15. Chelladurai, P.; Seeger, W.; Pullamsetti, S.S. Matrix metalloproteinases and their inhibitors in pulmo
Respir. J. 2012, 40, 766. [CrossRef] ger, W.; Pullamsetti, S.S. Matrix metalloproteinases and their inhibitors in pulmonary hypertension. Eur
6. [CrossRef] 16. White, C.R.; Datta, G.; Wilson, L.; Palgunachari, M.N.; Anantharamaiah, G. The apoA-I mimetic peptide 4F protects apolipoprotein
A-I from oxidative damage. Chem. Phys. Lipids 2019, 219, 28–35. [CrossRef] g
y
p
17. Sharma, S.; Umar, S.; Potus, F.; Iorga, A.; Wong, G.; Meriwether, D.; Breuils-Bonnet, S.; Mai, D.; Navab, K.; Ross, D.J.; et al. Apolipoprotein A-I Mimetic Peptide 4F Rescues Pulmonary Hypertension by Inducing MicroRNA-193-3p. Circulation 2014, 130,
776–785. [CrossRef] 18. De Carvalho, C.C.C.R.; Caramujo, M.J. The Various Roles of Fatty Acids. Molecules 2018, 23, 2583. [Cro 19. Storniolo, C.E.; Roselló-Catafau, J.; Pintó, X.; Mitjavila, M.T.; Moreno, J.J. Polyphenol fraction of extra virgin olive oil protects
against endothelial dysfunction induced by high glucose and free fatty acids through modulation of nitric oxide and endothelin-1. Redox Biol. 2014, 2, 971–977. [CrossRef] 20. Ghosh, A.; Gao, L.; Thakur, A.; Siu, P.M.; Lai, C.W.K. References 1. Rosenkranz, S.; Gibbs, J.S.R.; Wachter, R.; De Marco, T.; Vonk-Noordegraaf, A.; Vachiéry, J.-L. Left ventricular heart failure and
pulmonary hypertension. Eur. Heart J. 2016, 37, 942–954. [CrossRef] [PubMed] 2. Galiè, N.; Humbert, M.; Vachiery, J.; Gibbs, S.; Lang, I.; Torbicki, A.; Simmonneau, G.; Peacock, A.; Vonk Noordegraaf, A.;
Beghetti, M.; et al. 2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension. Eur. Heart J. 2016, 37,
67–119. [CrossRef] [PubMed] 3. Backes, C.H.; Nealon, E.; Armstrong, A.K.; Cua, C.L.; Mitchell, C.; Krishnan, U.; Vanderlaan, R.D.; Song, M.K.; Viola, N.;
Smith, C.V.; et al. Pulmonary Vein Stenosis in Infants: A Systematic Review, Meta-Analysis, and Meta-Regression. J. Pediatr. 2018,
198, 36–45.e3. [CrossRef] [PubMed] 4. Gowda, S.; Bhat, D.; Feng, Z.; Chang, C.-H.; Ross, R.D. Pulmonary Vein Stenosis with Down Syndrome: A Rare and Frequently
Fatal Cause of Pulmonary Hypertension in Infants and Children. Congenit. Heart Dis. 2014, 9, E90–E97. [CrossRef] 5. Cappato, R. Pulmonary Vein Stenosis Following Radiofrequency Ablation of Atrial Fibrillation. JACC Clin. Electrophysiol. 2017, 3,
599–601. [CrossRef] 6. Mahgoub, L.; Kaddoura, T.; Kameny, A.R.; Lopez Ortego, P.; Vanderlaan, R.D.; Kakadekar, A.; Dicke, F.; Rebeyka, I.;
Calderone, C.A.; Redington, A.; et al. Pulmonary vein stenosis of ex-premature infants with pulmonary hypertension and
bronchopulmonary dysplasia, epidemiology, and survival from a multicenter cohort. Pediatr. Pulmonol. 2017, 52, 1063–1070. [CrossRef] 7. Van Duin, R.W.B.; Stam, K.; Cai, Z.; Uitterdijk, A.; Garcia-Alvarez, A.; Ibanez, B.; Danser, A.H.J.; Reiss, I.K.M.; Duncker, D.J.;
Merkus, D. Transition from post-capillary pulmonary hypertension to combined pre- and post-capillary pulmonary hypertension
in swine: A key role for endothelin. J. Physiol. 2019, 597, 1157–1173. [CrossRef] Endothelial Cell Mechano-Metabolomic Coupling to Disease States in the Lung Microvasculature. Front
019, 7, 172. [CrossRef]
J
B
dl
C
G
í
S
d d
D
H
h
S
K
h
h
S
K
d
D J
P
k
h A 8. Wu, D.; Birukov, K. Endothelial Cell Mechano-Metabolomic Coupling to Disease States in the Lung
Bioeng. Biotechnol. 2019, 7, 172. [CrossRef] 9. Perez-Riverol, Y.; Bai, J.; Bandla, C.; García-Seisdedos, D.; Hewapathirana, S.; Kamatchinathan, S.; Kundu, D.J.; Prakash, A.;
Frericks-Zipper, A.; Eisenacher, M.; et al. The PRIDE database resources in 2022: A hub for mass spectrometry-based proteomics
evidences. Nucleic Acids Res. 2022, 50, D543–D552. [CrossRef] 10. Naba, A.; Clauser, K.R.; Hoersch, S.; Liu, H.; Carr, S.A.; Hynes, R.O. The Matrisome: In Silico Definition
tion by Proteomics of Normal and Tumor Extracellular Matrices. Mol. Cell. 21.
Huang, D.; Li, T.; Li, X.; Zhang, L.; Sun, L.; He, X.; Zhong, X.; Jia, D.; Song, L.; Semenza, G.L.; et al. HIF-1-Mediated Suppression
of Acyl-CoA Dehydrogenases and Fatty Acid Oxidation Is Critical for Cancer Progression. Cell Rep. 2014, 8, 1930–1942. [CrossRef]
[PubMed] References Izquierdo-Garcia, J.; Arias, T.; Rojas, Y.; Garcia-Ruiz, V.; Santos, A.; Martin-Puig, S.; Ruiz-Cabello, J. Metabolic Reprogramming in
the Heart and Lung in a Murine Model of Pulmonary Arterial Hypertension. Front. Cardiovasc. Med. 2018, 5, 110. [CrossRef]
l
l h ff G
h
b
ff
l d
d
d
h
i l 28. Izquierdo-Garcia, J.; Arias, T.; Rojas, Y.; Garcia-Ruiz, V.; Santos, A.; Martin-Puig, S.; Ruiz-Cabello, J. Metabolic Reprogramming in
the Heart and Lung in a Murine Model of Pulmonary Arterial Hypertension. Front. Cardiovasc. Med. 2018, 5, 110. [CrossRef]
29. Vaupel, P.; Multhoff, G. Revisiting the Warburg effect: Historical dogma versus current understanding. J. Physiol. 2021, 599, q
, J ;
,
;
j
,
;
,
;
,
;
g,
;
, J
p
g
g
the Heart and Lung in a Murine Model of Pulmonary Arterial Hypertension. Front. Cardiovasc. Med. 2018, 5, 110. [CrossRef]
29. Vaupel, P.; Multhoff, G. Revisiting the Warburg effect: Historical dogma versus current understanding. J. Physiol. 2021, 599,
1745–1757. [CrossRef] 30. Nukala, S.B.; Tura-Ceide, O.; Aldini, G.; Smolders, V.F.E.D.; Blanco, I.; Peinado, V.I.; Castellà, M.; Barberà, J.A.; Altomare, A.;
Baron, G.; et al. Protein network analyses of pulmonary endothelial cells in chronic thromboembolic pulmonary hypertension. Sci. Rep. 2021, 11, 1–13. [CrossRef] 31. Gimbrone, M.A.; Topper, J.N.; Nagel, T.; Anderson, K.R.; Garcia-Cardeña, G. Endothelial Dysfunction, H
Atherogenesisa. Ann. N. Y. Acad. Sci. 2006, 902, 230–240. [CrossRef] 32. Agledal, L.; Niere, M.; Ziegler, M. The phosphate makes a difference: Cellular functions of NADP. Redox Rep. 2010, 15, 2–10. [CrossRef] [PubMed] 33. Van Duin, R.W.B.; Stam, K.; Uitterdijk, A.; Bartelds, B.; Danser, A.H.J.; Reiss, I.K.M.; Duncker, D.J.; Merkus, D. Intervening
with the Nitric Oxide Pathway to Alleviate Pulmonary Hypertension in Pulmonary Vein Stenosis. J. Clin. Med. 2019, 8, 1204. [CrossRef] [PubMed] 34. Murray, A.W. The Biological Significance of Purine Salvage. Annu. Rev. Biochem. 1971, 40, 811–826. [Cr 34. Murray, A.W. The Biological Significance of Purine Salvage. Annu. Rev. Biochem. 1971, 40, 811–826. [CrossRef] [PubMed]
35. Hautbergue, T.; Antigny, F.; Boët, A.; Haddad, F.; Masson, B.; Lambert, M.; Delaporte, A.; Menager, J.-B.; Savale, L.; Pavec, J.; et al. Right Ventricle Remodeling Metabolic Signature in Experimental Pulmonary Hypertension Models of Chronic Hypoxia and
Monocrotaline Exposure. Cells 2021, 10, 1559. [CrossRef] [PubMed] p
36. Xu, W.; Comhair, S.A.A.; Chen, R.; Hu, B.; Hou, Y.; Zhou, Y.; Mavrakis, L.A.; Janocha, A.J.; Li, L.; Zhang, D.; et al. References Role of free fatty acids in endothelial dysfunction. J. Biomed. Sci. 2017, 24, 50. [CrossRef] 21. Huang, D.; Li, T.; Li, X.; Zhang, L.; Sun, L.; He, X.; Zhong, X.; Jia, D.; Song, L.; Semenza, G.L.; et al. HIF-1-Mediated Suppression
of Acyl-CoA Dehydrogenases and Fatty Acid Oxidation Is Critical for Cancer Progression. Cell Rep. 2014, 8, 1930–1942. [CrossRef]
[PubMed] 15 of 15 15 of 15 Int. J. Mol. Sci. 2023, 24, 4870 22. Xu, W.; Janocha, A.J.; Erzurum, S.C. Metabolism in Pulmonary Hypertension. Annu. Rev. Physiol. 2021, 83, 551–576. [CrossRef]
[PubMed] [
]
23. Umar, S.; Ruffenach, G.; Moazeni, S.; Vaillancourt, M.; Hong, J.; Cunningham, C.; Cao, N.; Navab, S.; Sarji, S.; Li, M.; et al. Involvement of Low-Density Lipoprotein Receptor in the Pathogenesis of Pulmonary Hypertension. J. Am. Heart Assoc. 2020,
9, e012063. [CrossRef] [PubMed] ,
[
] [
]
24. Goldstein, J.L.; Brown, M.S. The LDL Receptor. Arterioscler. Thromb. Vasc. Biol. 2009, 29, 431–438. [CrossRef] [PubMed] [
] [
]
24. Goldstein, J.L.; Brown, M.S. The LDL Receptor. Arterioscler. Thromb. Vasc. Biol. 2009, 29, 431–438. [Cros ] [
]
rown, M.S. The LDL Receptor. Arterioscler. Thromb. Vasc. Biol. 2009, 29, 431–438. [CrossRef] [PubMed] 25. Kockx, M.; Traini, M.; Kritharides, L. Cell-specific production, secretion, and function of apolipoprotein E. J. Mol. Med. 2018, 96,
361–371. [CrossRef] 26. Zhang, Y.; Ma, K.L.; Ruan, X.Z.; Liu, B.C. Dysregulation of the Low-Density Lipoprotein Receptor Pathway Is Involved in Lipid
Disorder-Mediated Organ Injury. Int. J. Biol. Sci. 2016, 12, 569–579. [CrossRef] 27. Venturini, G.; Malagrino, P.A.; Padilha, K.; Tanaka, L.Y.; Laurindo, F.R.; Dariolli, R.; Carvalho, V.M.; Cardozo, K.H.M.; Krieger, J.E.;
Pereira, A.D.C.; et al. Integrated proteomics and metabolomics analysis reveals differential lipid metabolism in human umbilical
vein endothelial cells under high and low shear stress. Am. J. Physiol. Cell Physiol. 2019, 317, C326–C338. [CrossRef] Pereira, A.D.C.; et al. Integrated proteomics and metabolomics analysis reveals differential lipid metabolism in human umbilical
vein endothelial cells under high and low shear stress. Am. J. Physiol. Cell Physiol. 2019, 317, C326–C338. [CrossRef] vein endothelial cells under high and low shear stress. Am. J. Physiol. Cell Physiol. 2019, 317, C326–C338. [CrossRef] g
J
y
y
,
,
28. Izquierdo-Garcia, J.; Arias, T.; Rojas, Y.; Garcia-Ruiz, V.; Santos, A.; Martin-Puig, S.; Ruiz-Cabello, J. M
the Heart and Lung in a Murine Model of Pulmonary Arterial Hypertension. Front. Cardiovasc. Me g
y
y
28. References Integrative
proteomics and phosphoproteomics in pulmonary arterial hypertension. Sci. Rep. 2019, 9, 18623. [CrossRef] 37. Tyanova, S.; Temu, T.; Cox, J. The MaxQuant computational platform for mass spectrometry-based shotgun proteomics. Nat. Protoc. 2016, 11, 2301–2319. [CrossRef] 38. Flenkenthaler, F.;
Ländström, E.;
Shashikadze, B.;
Backman, M.;
Blutke, A.;
Philippou-Massier, J.;
Renner, S.;
Hrabe de Angelis, M.; Wanke, R.; Blum, H.; et al. Differential Effects of Insulin-Deficient Diabetes Mellitus on Visceral
vs. Subcutaneous Adipose Tissue—Multi-omics Insights From the Munich MIDY Pig Model. Front. Med. 2021, 8, 751277. [CrossRef] 39. Ammar, C.; Gruber, M.; Csaba, G.; Zimmer, R. MS-EmpiRe Utilizes Peptide-level Noise Distributions for Ultra-sensitive Detection
of Differentially Expressed Proteins. Mol. Cell. Proteomics 2019, 18, 1880–1892. [CrossRef]
kl
k
bl
d
h 40. Szklarczyk, D.; Gable, A.L.; Lyon, D.; Junge, A.; Wyder, S.; Huerta-Cepas, J.; Simonovic, M.; Doncheva, N.T.; Morris, J.H.;
Bork, P.; et al. STRING v11: Protein–protein association networks with increased coverage, supporting functional discovery in
genome-wide experimental datasets. Nucleic Acids Res. 2019, 47, D607–D613. [CrossRef] g
p
41. Supek, F.; Bošnjak, M.; Škunca, N.; Smuc, T. REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms. PLoS ONE
2011, 6, e21800. [CrossRef] [PubMed] 42. Kessner, D.; Chambers, M.; Burke, R.; Agus, D.; Mallick, P. ProteoWizard: Open source software for rapid proteomics tools
development. Bioinformatics 2008, 24, 2534–2536. [CrossRef] [PubMed] p
f
43. Smith, C.A.; Want, E.J.; O’Maille, G.; Abagyan, R.; Siuzdak, G. XCMS: Processing Mass Spectrometry Data for Metabolite Profiling
Using Nonlinear Peak Alignment, Matching, and Identification. Anal. Chem. 2006, 78, 779–787. [CrossRef] [PubMed] 43. Smith, C.A.; Want, E.J.; O’Maille, G.; Abagyan, R.; Siuzdak, G. XCMS: Processing Mass Spectrometry Data for Metabolite Profiling
Using Nonlinear Peak Alignment, Matching, and Identification. Anal. Chem. 2006, 78, 779–787. [CrossRef] [PubMed]
44. Wishart, D.S.; Feunang, Y.D.; Marcu, A.; Guo, A.C.; Liang, K.; Vázquez-Fresno, R.; Sajed, T.; Johnson, D.; Li, C.; Karu, N.; et al. 43. Smith, C.A.; Want, E.J.; O Maille, G.; Abagyan, R.; Siuzdak, G. XCMS: Processing Mass Spectrometry Data for Metabolite Profiling
Using Nonlinear Peak Alignment, Matching, and Identification. Anal. Chem. 2006, 78, 779–787. [CrossRef] [PubMed]
44. Wishart, D.S.; Feunang, Y.D.; Marcu, A.; Guo, A.C.; Liang, K.; Vázquez-Fresno, R.; Sajed, T.; Johnson, D.; Li, C.; Karu, N.; et al. HMDB 4.0: The human metabolome database for 2018. Nucleic Acids Res. 2018, 46, D608–D617. References [CrossRef] [PubMed]
45
Tsugawa H ; Cajka T ; Kind T ; Ma Y; Higgins B ; Ikeda K ; Kanazawa M ; VanderGheynst J ; Fiehn O ; Arita M MS DIAL: g
g
g
44. Wishart, D.S.; Feunang, Y.D.; Marcu, A.; Guo, A.C.; Liang, K.; Vázquez-Fresno, R.; Sajed, T.; Johnson, D.; Li, C.; Karu, N.; et al. HMDB 4.0: The human metabolome database for 2018. Nucleic Acids Res. 2018, 46, D608–D617. [CrossRef] [PubMed] 45. Tsugawa, H.; Cajka, T.; Kind, T.; Ma, Y.; Higgins, B.; Ikeda, K.; Kanazawa, M.; VanderGheynst, J.; Fiehn, O.; Arita, M. MS-DIAL:
Data-independent MS/MS deconvolution for comprehensive metabolome analysis. Nat. Methods 2015, 12, 523–526. [CrossRef] 45. Tsugawa, H.; Cajka, T.; Kind, T.; Ma, Y.; Higgins, B.; Ikeda, K.; Kanazawa, M.; VanderGheynst, J.; Fiehn, O.; Arita, M. MS-DIAL:
Data-independent MS/MS deconvolution for comprehensive metabolome analysis. Nat. Methods 2015, 12, 523–526. [CrossRef] Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual
author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to
people or property resulting from any ideas, methods, instructions or products referred to in the content.
|
https://openalex.org/W4281627708
|
https://zenodo.org/records/6611674/files/%D0%90%D0%BA%D0%BC%D0%B0%D0%BB%D0%B6%D0%BE%D0%BD%20%D0%98%D0%BA%D1%80%D0%BE%D0%BC%D0%BE%D0%B2.pdf
|
Russian
| null |
ЗАМОНАВИЙ ШАҲАРЛАР ЙЎЛ-КЎЧА ТАРМОҒИДАГИ ЧОРРАҲАЛАРНИ ТАРТИБГА СОЛИШ ТУРЛАРИНИНГ ТАҲЛИЛИ
|
Zenodo (CERN European Organization for Nuclear Research)
| 2,022
|
cc-by
| 1,709
|
ЗАМОНАВИЙ ШАҲАРЛАР ЙЎЛ-КЎЧА ТАРМОҒИДАГИ
ЧОРРАҲАЛАРНИ ТАРТИБГА СОЛИШ ТУРЛАРИНИНГ ТАҲЛИЛИ https://doi.org/10.5281/zenodo.6611674 Акмалжон Икромов
Тошкент давлат транспорт университети, PhD
Кучкаров Хуршид
Тошкент давлат транспорт университети, ассистент Шаҳар йўллари тармоғи учун светофорни бошқариш бир неча ўн йиллар
давомида энг юқори самарадорликни таъминлашнинг муҳим йўналишларидан
бири бўлиб келган. Бу даврда унинг турли услуб ва воситаларини ишлаб чиқиш
бўйича бир қатор тадқиқотлар олиб борилган. Аммо автомобиллар сонининг
доимий кўпайиши ва бунинг натижасида йўл шароитлари ёмонлашиши ва
тирбандликлар сонининг ортиши, мавжуд муаммоларни ҳал қилишга имкон
берадиган янги, илғор усулларни ҳамда келгусидаги вазиятни башорат қилишни
талаб қилади. Замонавий
шаҳарлар
ривожланишида
йўл-кўча
тармоғидаги
тирбандликнинг ортиб бораётгани муаммо бўлиб қолмоқда. Шахсий транспорт
воситаларидан фойдаланиш даражасини камайтириш ёки қопламали йўллар
ҳажмини ошириш эвазига тирбандликлар сонини қисқартиришга эришиш
мумкин [25]. Йўл инфратузилмасини инобатга олган ҳолда йўллар сонини
доимий равишда ошириш мумкин эмас. Шунга кўра, транспорт оқимини
бошқариш
эвазига
тирбандликни
камайтириш
ва
бунинг
натижасида
шаҳарларнинг транспорт мобиллигини ошириш зарур. Йирик шаҳарларнинг йўл-кўча тармоғида транспорт воситаларининг
давомий кечикиши, йўл-кўча тармоғининг геометрик параметрлари билан
доимий
равишда
ортиб
бораётган
ҳаракат
интенсивлиги
ўртасидаги
номувофиқлик оқибати ҳисобланади. Маълумки, йўллар ҳамда кўчалар
сонининг кўпайиши ва бир сатҳдаги чорраҳалар кесишмаларини турли сатҳли
чорраҳаларга қайта қуриш йўл тармоғи бўйлаб транспорт оқимларининг қайта
тақсимланишига ва ўтказувчанлик қобилияти кичик бўлган йўл-кўча тармоғи
ҳудудлари камайишига олиб келади. Лекин янги йўллар ва уларнинг
элементларини қуриш жуда катта харажат талаб қилади. Шунга кўра, биринчи
навбатда йўл-кўча тармоғи ҳаракат сиғимининг мавжуд захираларини аниқлаш
ва улардан фойдаланиш, сўнгра йўл-кўча тармоғи участкаларида конструктив
ўзгаришлар бўйича қарор қабул қилиш талаб этилади. 1 6 – расм Бир сатҳли чорраҳаларни қўлланиш соҳаси [24] 1.6 – расм. Бир сатҳли чорраҳаларни қўлланиш соҳаси [24] 1.6 – расм. Бир сатҳли чорраҳаларни қўлланиш соҳаси [24] Узоқ муддатли тирбандликка эга бўлмаган йўл-кўча тармоғи участкалари
ўтказиш қобилиятини ошириш чораларини талаб қилмайди, шунинг учун йўл
тармоғининг тор жойларини аниқлаш ва уларнинг ўтказувчанлиги захираларини
баҳолаш керак. Шаҳарнинг зич аҳоли яшаш худудларида айнан тартибга солинган
чорраҳалар кўпроқ транспорт воситасини ўтказиш имкониятига эга бўлади. 1.6-
расмда автомобиль йўлларининг бир сатҳли турли кесишмалари учун талаб
этиладиган майдоннинг ҳаракат интенсивлиги келтирилган. Шаҳарнинг зич аҳоли яшаш худудларида айнан тартибга солинган
чорраҳалар кўпроқ транспорт воситасини ўтказиш имкониятига эга бўлади. 1.6-
расмда автомобиль йўлларининг бир сатҳли турли кесишмалари учун талаб
этиладиган майдоннинг ҳаракат интенсивлиги келтирилган. Жамоат транспорти ва йўл ҳаракати иштирокчилари (велосипедлар ва
пиёдалар) ҳаракатланиш сифати чорраҳалар светофор объектларини мос
равишда ростлаш эвазига сезиларли даражада яхшиланади. Жамоат транспорти ва йўл ҳаракати иштирокчилари (велосипедлар ва
пиёдалар) ҳаракатланиш сифати чорраҳалар светофор объектларини мос
равишда ростлаш эвазига сезиларли даражада яхшиланади. ЗАМОНАВИЙ ШАҲАРЛАР ЙЎЛ-КЎЧА ТАРМОҒИДАГИ
ЧОРРАҲАЛАРНИ ТАРТИБГА СОЛИШ ТУРЛАРИНИНГ ТАҲЛИЛИ Катта ҳаракат интенсивлигига эга бўлган юқори тоифали автомобиль
йўлларида светофор бошқаруви ушбу йўлларга киришни чеклаш ва йўллардан
чиқиш шароитларини яхшилашга қаратилади. Катта ҳаракат интенсивлигига эга бўлган юқори тоифали автомобиль
йўлларида светофор бошқаруви ушбу йўлларга киришни чеклаш ва йўллардан
чиқиш шароитларини яхшилашга қаратилади. Ҳаракатланиш йўналишлари бўйича интенсивлиги кескин фарқланадиган
йўлларда йўлакнинг ҳаракат йўналишини ўзгарувчан қилиш учун светофор
бошқарувини алоҳида йўлаклар бўйича ташкил этиш мумкин. Ҳаракатланиш йўналишлари бўйича интенсивлиги кескин фарқланадиган
йўлларда йўлакнинг ҳаракат йўналишини ўзгарувчан қилиш учун светофор
бошқарувини алоҳида йўлаклар бўйича ташкил этиш мумкин. Аксарият ҳолатларда светофор бошқаруви транспорт инфратузилмаси
объектлари майдонини камайтиришга имкон беради. Масалан, чорраҳани
ҳалқали кесишма билан алмаштириш эвазига йўл майдонини қисқартириш ва
ўтказувчанлик қобилиятини ошириш [26]. Қурилмалар доимий равишда белгиланган тизимга мувофиқ ёки ўзгарувчан
интервалга эга сигнал асосида ишлайди. Шунга кўра, светофорлар доимий ва
мослаштирилган (адаптив) тартибга солувчи турларга ажратилади. Биринчи
ҳолда қурилма ҳафтанинг куни, тирбандлиги ва куннинг вақтидан қатъи назар,
доимий режимда ишлайди. Катта шаҳарларда бундай светофорлар кўпинча
мослаштирилган светофорлар билан алмаштирилади. Натижада, сигнал
даврларининг давомийлиги йўл ҳаракатини самарали ташкил этиш учун хизмат ф
б ф
У б қилади. Светофор режими тиғиз ва кундузги/тунги вақтларда фарқланади. Ушбу
бошқарув тирбандликларни олдини олишга ёрдам беради. ади. Светофор режими тиғиз ва кундузги/тунги вақтларда фарқланади. Ушбу қилади. Светофор режими тиғиз ва кундузги/тунги вақтларда фарқланади. Ушбу
бошқарув тирбандликларни олдини олишга ёрдам беради. Бошқариладиган чорраҳаларда светофор сигналларини автоном ва
мувофиқлаштирилган ҳолда бошқариш мумкин. Автоном бошқариш битта алоҳида чорраҳадаги ҳаракатни бошқа яқин
чорраҳадаги вазиятни ҳисобга олмаган ҳолда бошқаришдир. Бундай бошқариш
чорраҳалар орасидаги масофа 1000 метрдан кам бўлмаганда қўлланилади. Мувофиқлаштирилган бошқариш бир нечта чорраҳадаги бошқариш бир-
бири билан биргаликда вазиятига қараб ҳаракатни бошқаришдир. Бундай
бошқариш чорраҳалар орасидаги масофа 150–600 м бўлганида тавсия этилади. Мувофиқлаштирилган бошқаришнинг автоном бошқаришдан афзаллиги
қуйидагилардан иборат: ўтказиш қобилияти ва ҳаракат тезлиги ошади; ёнилғи
сарфи, атмосферанинг булғаланиши, транспорт шовқини ва ЙТҲ камаяди;
автомобилнинг тормоз тизими ва бошқа механизмларининг ишлаш муддати
ортади. Мувофиқлаштирилган бошқаришнинг синхронли ва прогрессив тизими
мавжуд. Синхронли тизимда барча чорраҳалардаги светофорларда бир вақтнинг
ўзида бир хил сигнал ёнади ва алмашади (бу тизим «яшил кўча» деб юритилади). Прогрессив тизимда сигналлар чорраҳадаги светофорларга, ҳаракат
тезлигига ва миқдорига қараб бирор вақт бирлигида суриб берилади ёки кўча
«яшил тўлқин» режимида ишлайди. “Яшил тўлқин” ни фақат доимий ва мослаштирилган (адаптив) тартибга
солувчи, фазалар давомийлиги ўзгаришини ростловчи светофорларда амалга
ошириш мумкин. Айланма ҳаракатланиш ташкил қилинган чорраҳа – яқинлашиб келаётган
автомобиллар ўнг томонлама ҳаракатланиш йўлларида соат стрелкасига тескари
йўналишда ва чап томонлама ҳаракатланиш йўлларида соат стрелкаси
йўналишида марказий майдон атрофидан айланиб ўтувчи чорраҳадир. Бундай чорраҳалар, одатда, светофор билан жиҳозланмаган ва тартибга
солинмаган бўлади. Транспорт ҳаракатининг устуворлиги белгиланган йўл
белгилари ва/ёки чорраҳаларни кесиб ўтишнинг бошқа қоидалари билан
белгиланиши мумкин. Ҳалқали чорраҳалар бир сатҳли бошқа чорраҳаларга нисбатан камроқ йўл-
транспорт ҳодисаси, кечикишлар ва юқори ўтказувчанлик билан тавсифланади. Кесишма элементларининг жойлашуви ҳаракат тезлигини пасайиши ва
унинг ўзгариш диапазонига сезиларли таъсир кўрсатади. Автомобиль
тезликларининг кичик диапазонда ўзгариши (тезликларнинг ўртача қийматдан
стандарт оғиши) ҳалқа йўли ташқи қиррасининг диаметри 25–30 метрдан
ошмайдиган ҳалқали кесишмага хосдир. Ушбу таъсир асосий ва иккинчи
даражали йўналишдаги автомобиллар учун бир хил. Умуман олганда, йўллар
учун ҳалқали кесишма транспортнинг “тинчлантирувчиси” бўлиб, чорраҳага
яқинлашганда транспорт тезлигини муаммосиз пасайтириш учун тегишли чораларни талаб қилади. 1.7-расм. Оддий ва ҳалқали чорраҳаларнинг тўқнашув нуқталари [24] 1.7-расм. Оддий ва ҳалқали чорраҳаларнинг тўқнашув нуқталари [24] 1.7 расм. Оддий ва ҳалқали чорраҳаларнинг тўқнашув нуқталари [24]
Бир сатҳдаги айланма чорраҳалар бир қатор афзалликларга эга. АДАБИЁТЛАР: 1. Ўзбекистон Республикаси Президентининг 11 июль 2017 йил 3127-
сонли
“Йўл
ҳаракати
ҳавфсизлигини
таъминлаш
тизимини
янада
такомиллаштириш чора-тадбирлари тўғрисида”ги қарори 2. 2018-2022 йилларда Ўзбекистон Республикасида йўл ҳаракати
хавфсизлигини таъминлаш концепциясини 3. Ўзбекистон Республикаси ИИВ ЙҲХББ статистика маълумоти 4. Усманова М.Н.Подход оценки факторов навыки водителя при
обеспечения
безопасности
движения.Вестник
ТАДИ.Научно-технический
журнал.4.2016г.90-93стр. 4. Усманова М.Н.Подход оценки факторов навыки водителя при
обеспечения
безопасности
движения.Вестник
ТАДИ.Научно-технический
журнал.4.2016г.90-93стр. 4. Усманова М.Н.Йирик шаҳарларда йўл ҳаракатини ташкил этиш
йўналишлари.Biznes-Эксперт.№8,2019 йил.42-44бет 5. Eisymont, Y., Auchynnikau, Y., Avdeychik, S., Ikramov, A., &
Grigorieva, T. (2015). Mechanochemical processes in the formation of engineering
materials
based
on
polymers. Materials
Science. Non-Equilibrium
Phase
Transformations., 1(1), 36-41. 6. Avdeychik, S., Goldade, V., Struk, V., Antonov, A., & Ikromov, A. (2020). THE PHENOMENON OF NANOSTATE IN MATERIAL SCIENCE OF
FUNCTIONAL
COMPOSITES
BASED
ON
INDUSTRIAL
POLYMERS. Theoretical & Applied Science, (7), 101-107. 6. Avdeychik, S., Goldade, V., Struk, V., Antonov, A., & Ikromov, A. (2020). THE PHENOMENON OF NANOSTATE IN MATERIAL SCIENCE OF
FUNCTIONAL
COMPOSITES
BASED
ON
INDUSTRIAL
POLYMERS. Theoretical & Applied Science, (7), 101-107. 7. Mukhitdinov A., Kutlimuratov K., Assessing the operational impacts of
road intersection using ptv vissim microscopic simulation. International Journal of
Advanced Research in Science, Engineering and Technology, (2021), 18682-18690,
8(12) 7. Mukhitdinov A., Kutlimuratov K., Assessing the operational impacts of
road intersection using ptv vissim microscopic simulation. International Journal of
Advanced Research in Science, Engineering and Technology, (2021), 18682-18690,
8(12) r
A
8
c 8. Mukhitdinov A., Ruzimov S., Mavlonov J., Analysis of the powertrain
component size of electrified vehicles commercially available on the market. Mechanical Engineering in Transport, (2021), 74-86, 24(1) 9. Abdurazzokov U., Sattivaldiyev B., Khikmatov R., Ziyaeva Sh., Method
for assessing the energy efficiency of a vehicle taking into account the load under
operating
conditions,
E3S
Web
of
Conferences,
(2021),
DOI:
10.1051/e3sconf/202126405033 9. Abdurazzokov U., Sattivaldiyev B., Khikmatov R., Ziyaeva Sh., Method
for assessing the energy efficiency of a vehicle taking into account the load under
operating
conditions,
E3S
Web
of
Conferences,
(2021),
DOI:
10.1051/e3sconf/202126405033 10. Mukhitdinov A., Ziyaev K., Omarov J., Methodology of constructing
driving cycles by the synthesis, E3S Web of Conferences, (2021), DOI:
10.1051/e3sconf/202126401033 10. Mukhitdinov A., Ziyaev K., Omarov J., Methodology of constructing
driving cycles by the synthesis, E3S Web of Conferences, (2021), DOI:
10.1051/e3sconf/202126401033 11. ф
б Масалан:
йўналишларда
ҳаракат
интенсивлиги
нисбатларини
ўзгартирган
ҳолда
светофорларсиз ҳаракатни ташкил этиш имконияти; чорраҳадан 4 ёки ундан
ортиқ йўлни кесиб ўтишда ҳаракатни янада самарали ташкил этишга эришиш;
транспорт воситалари ҳайдовчилари учун энг оддий, қулай ва тушунарли
ҳаракат шароитларини шакллантириш; турли сатҳли транспорт боғламаларини
қуришга нисбатан капитал харажатларнинг камлиги; кичик архитектура
шакллари ва ободонлаштиришни қўллаш орқали чорраҳаларнинг меъморий ва
режалаштириш сифатини ошириш; бир хил даражадаги бошқа турдаги
чорраҳаларга нисбатан ҳаракат хавфсизлиги даражасини 1,5–3 баробар ошириш;
айланма
чорраҳалар
қурилмаси
йўл
транспорт
ҳодисалари
ҳолатини
ўзгартиришга ва авария оқибатлари оғирлигини камайтиришга ёрдам беради. Улардан фойдаланиш йўл-транспорт ҳодисалари 35фоизга камайишига
олиб келади. Ўлим ҳолатлари – 90 фоизга, жароҳатлар – 75 фоизга, пиёдалар
тўқнашуви – 35 фоизга ва велосипед билан боғлиқ ҳодисалар – 10 фоизга
камаяди. Бахтсиз ҳодисалар оқибатининг оғирлиги нуқтаи назаридан айланма
чорраҳалар шаҳардан ташқари йўлларда энг самарали ҳисобланади. Бу ерда бир
хил даражадаги чорраҳаларда ўлим сони 2 баравардан кўпроққа камайган. Шаҳар айланмаларида бу кўрсаткич 18–20 фоизни ташкил қилади. АДАБИЁТЛАР: Kulmukhamedov Zh., Khikmatov R., Saidumarov A., Kulmukhamedova
Y., Theoretical research of the external temperature influence on the traction and speed
properties and the fuel economy of cargo-carrying vehicles, Journal of Applied
Engineering Science, (2021), 19(1), DOI: 10.5937/jaes0-27851 11. Kulmukhamedov Zh., Khikmatov R., Saidumarov A., Kulmukhamedova
Y., Theoretical research of the external temperature influence on the traction and speed
properties and the fuel economy of cargo-carrying vehicles, Journal of Applied
Engineering Science, (2021), 19(1), DOI: 10.5937/jaes0-27851 12.
Mukhitdinov A., Kutlimuratov K., Khakimov Sh., Samatov R., Modelling
traffic flow emissions at signalized intersection with PTV Vissim, E3S Web of
Conferences, (2021), DOI: 10.1051/e3sconf/202126402051
13.
Mukhitdinov A., Kutlimuratov K., Impact of stops for bus delays on
routes, IOP Conference Series: Earth and Environmental Science, (2020), ISSN 1755-
1315, DOI: 10.1088/1755-1315/614/1/012084 12. Mukhitdinov A., Kutlimuratov K., Khakimov Sh., Samatov R., Modelling
traffic flow emissions at signalized intersection with PTV Vissim, E3S Web of
Conferences, (2021), DOI: 10.1051/e3sconf/202126402051 12. Mukhitdinov A., Kutlimuratov K., Khakimov Sh., Samatov R., Modelling
traffic flow emissions at signalized intersection with PTV Vissim, E3S Web of
Conferences, (2021), DOI: 10.1051/e3sconf/202126402051 13. Mukhitdinov A., Kutlimuratov K., Impact of stops for bus delays on
routes, IOP Conference Series: Earth and Environmental Science, (2020), ISSN 1755-
1315, DOI: 10.1088/1755-1315/614/1/012084 13. Mukhitdinov A., Kutlimuratov K., Impact of stops for bus delays on
routes, IOP Conference Series: Earth and Environmental Science, (2020), ISSN 1755-
1315, DOI: 10.1088/1755-1315/614/1/012084
|
https://openalex.org/W3113032096
|
https://www.aclweb.org/anthology/2020.coling-main.173.pdf
|
English
| null |
Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps from Deep Convolutional Neural Networks
| null | 2,020
|
cc-by
| 9,458
|
Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps
from Deep Convolutional Neural Networks
Steven Derby
Paul Miller
Barry Devereux Steven Derby
Paul Miller
Barry Devereux Steven Derby Abstract Semantic models derived from visual information have helped to overcome some of the limita-
tions of solely text-based distributional semantic models. Researchers have demonstrated that
text and image-based representations encode complementary semantic information, which when
combined provide a more complete representation of word meaning, in particular when com-
pared with data on human conceptual knowledge. In this work, we reveal that these vision-based
representations, whilst quite effective, do not make use of all the semantic information available
in the neural network that could be used to inform vector-based models of semantic representa-
tion. Instead, we build image-based meta-embeddings from computer vision models, which can
incorporate information from all layers of the network, and show that they encode a richer set of
semantic attributes and yield a more complete representation of human conceptual knowledge. Proceedings of the 28th International Conference on Computational Linguistics, pages 1906–1921
Barcelona, Spain (Online), December 8-13, 2020 This work is licensed under a Creative Commons Attribution 4.0 International Licence.
Licence details:
http://
creativecommons.org/licenses/by/4.0/. Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps
from Deep Convolutional Neural Networks
Steven Derby
Paul Miller
Barry Devereux
Queen’s University Belfast, Belfast, United Kingdom
{sderby02, p.miller, b.devereux}@qub.ac.uk Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps
from Deep Convolutional Neural Networks
Steven Derby
Paul Miller
Barry Devereux
Queen’s University Belfast, Belfast, United Kingdom
{sderby02, p.miller, b.devereux}@qub.ac.uk 1
Introduction These insights have motivated the development of 1906 Proceedings of the 28th International Conference on Computational Linguistics, pages 1906–1921
Barcelona, Spain (Online), December 8-13, 2020 multimodal semantic representations, which learn from multiple sources of information to ground these
representations in the real world – an approach most successfully demonstrated by models that combine
data from text and images (Bruni et al., 2014; Kiela and Bottou, 2014; Lazaridou et al., 2015b; Silberer,
2017). Generally, when image data is incorporated into the construction of word embedding spaces, vectors
are derived from the penultimate layer of a deep convolutional neural network trained on an image
classification task. Although not usually explicitly stated, the rationale for using the penultimate layer of
the network is that this layer should be the layer that is maximally relevant to the predicted label for the
objects, whilst also being the layer that is least influenced by the low-level visual noise due to the details
of the sampled training images. However, it is possible that meaningful object knowledge is present in
lower layers of the network even if such information is not directly relevant to the object labelling task
that the computer vision model is trained on. For example, in human property listing data, the property
is-green is reliably given for FROG. In a computer vision model trained to discriminate between object
classes, however, the greenness of frogs may not be strongly relevant to discriminating between images
of frogs and images of other amphibians or reptiles (which also tend to be green) and so this information
– highly relevant to human semantic representations – may not be strongly represented in the penultimate
layer. In this work, we demonstrate that whilst using the penultimate layer of a computer vision model is
an effective way to capture concept semantics, this approach is not optimal with respect to the goal of
producing representations that encode information about cognitively-relevant semantic attributes of con-
cepts. Using human property norm data, we demonstrate that certain features and feature types are more
decodable at particular layers of the network than others. To produce representations that can make use of
all the available semantics-relevant information from the network, we merge the feature map information
by constructing meta-embeddings using information from all convolutional layers. We demonstrate that
these ensembles of distributional models produce more complete representations of conceptual meaning,
when evaluated against human conceptual knowledge. 1
Introduction Many approaches to representing the meaning of imageable, concrete concepts (e.g. FROG, APPLE,
CAR, GUITAR) have been developed in the fields of cognitive science, computational linguistics and
computer vision. Most explicitly, property listing studies have been used in cognitive psychology and
cognitive neuroscience to characterise word meaning in terms of discrete semantic properties (McRae et
al., 2005; Devereux et al., 2014; Buchanan et al., 2019). In property listing studies, human participants
enumerate as many features as they can for each concept word, and these responses are then aggregated
and normalised to a set of verbal semantic descriptors that correspond to elements of concept meaning
(e.g. does-croak for FROG). This gives a representation of each concept as a sparse vector which encodes
the semantic properties that occur for that concept. The resulting properties can then been applied to
research investigating the organisation of semantic processing across the cortex, and to studies of the
speed or ease of semantic processing for different concepts and different types of concept knowledge
(Fieder et al., 2019; Evans et al., 2019; Kivisaari et al., 2019a; Bruffaerts et al., 2019). A desirable trait of semantic property norms is their interpretability, since this interpretability facili-
tates the design of cognitive experiments on conceptual semantics (Murphy, 2004). This interpretability
has also allowed researchers in NLP interested in distributional lexical semantics to gain better insights
into the kinds of information that dense vector space models attain from pretraining. Even though many
state-of-the-art vector space models of word meaning perform well when evaluated on both intrinsic and
downstream tasks (Mikolov et al., 2013; Pennington et al., 2014; Bojanowski et al., 2017), researchers
have demonstrated that such models often fail to fully encode certain facets of conceptual meaning (Li
and Gauthier, 2017). For example, taxonomic properties (i.e. properties describing the object category,
such as is-an-amphibian for FROG) and properties reflecting encyclopedic information or information
about object function tend to be well-represented in the vector space, but properties that correspond to
other kinds of attributes, such as colour, form, and modes of motion, tend to be poorly encoded (Ru-
binstein et al., 2015; Collell and Moens, 2016). 1
Introduction To our knowledge, ours is the first work to con-
sider and evaluate the use of all layers of computer vision models for constructing semantic models, and
is the first to consider a range of recent computer architectures in building ensembled and multi-modal
representations. Finally, we demonstrate how these meta-embeddings can be used in a zero-shot property
mapping task, which allows us to automate the generation of interpretable semantic properties for unseen
concepts. We make our code, embeddings, and analysis pipleine openly available1. 1Github link to code at https://github.com/stevend94/Decoding-Semantic-Properties. 2
Related Work Whilst word embedding vectors derived from text data have a long history of proven utility on a wide
range of downstream tasks, they have been shown to struggle with encoding certain types of semantically-
relevant information. Directly analysing the relationship between explicit property knowledge found in
property norm data and the information in pretrained distributional models shows that particular proper-
ties relating to more sensory or perpetual information about object semantics can be poorly captured,
compared with more associative and encyclopedic knowledge (Rubinstein et al., 2015; Collell and
Moens, 2016; Li and Gauthier, 2017). Sommerauer and Fokkens (2018)), using probing classifiers,
showed that many of these properties may not be decodable at all from text-based embedding spaces. Findings such as these have motivated researchers to incorporate multimodal information into represen-
tations of word meaning (Bulat et al., 2016). Meta-embeddings have emerged as a useful method for combining information from different word
embeddings models (Yin and Sch¨utze, 2016). Different embeddings may be trained on various corpora
of text, with different sizes, vocabularies, learning methods or model architecture. Meta-embeddings
can then be created that combine the complementary information from all sources (Murom¨agi et al.,
2017). In the context of language modelling, different layers of a pre-trained language model may be
sensitive to different kinds of linguistic information, and effectively combining embedding information
across layers has been shown to improve performance on different tasks sensitive to different kinds of 1Github link to code at https://github.com/stevend94/Decoding-Semantic-Properties 1907 information (such as POS-tagging and word sense disambiguation) (Peters et al., 2018). A number of
successful methods have emerged for combining word embedding spaces from different sources. Coates
and Bollegala (2018) demonstrate that combining vectors using element-wise addition can be just as
effective as concatenating, given that the embeddings are orthogonal. Bollegala and Bao (2018) propose
a number of autoencoder type networks to combine one or more vector space models. Finally, Neill and
Bollegala (2018) give a comprehensive set of empirical results for a number of models and loss functions
for learning complex meta-embeddings, demonstrating that loss functions that focus on vector direction
such as cosine or KL-divergence based losses give the best performance on intrinsic benchmarks. 3
Approach The most prominent method for building image-based semantic models involves using pretrained deep
convolutional neural networks (DCNNs) to extract visual information from image data by retrieving the
output vectors from the penultimate layer of the network. In this work, we utilise DCNNs trained for
the ImageNet LSVRC competition (Deng et al., 2009), which aim to predict the correct object in an
image from a set of 1000 possible labels. In general, these networks use convolutional layers to extract
visual information and build increasingly complex features, before one or many fully-connected layers
are used to compute the probability distribution over the classes. Distributional semantic spaces can
then be constructed from the penultimate fully-connected layer. Here, we instead focus our analysis on
representational spaces generated at all convolutional layers of the network. Our goal is to demonstrate
that the types of semantic attributes encoded in these feature maps depend on their depth in the network,
and thus using only the penultimate layer may be suboptimal for representing concept meaning. 2
Related Work In distributional semantics, powerful approaches have been developed for building functions that can
map from one semantic space to another (Lazaridou et al., 2014), compelling researchers to construct
cross-modal mappings from dense distributional models with much larger vocabularies onto property
norm data (Fagarasan et al., 2015). For example, Derby et al. (2019) constructed distributed seman-
tic representations for each property dimension used in a large set of property norms, whilst Li and
Summers-Stay (2019) showed that deep neural networks provide the best performance for zero-shot
mapping between semantic spaces. Motivating our work on ensembling over layers of deep convolutional neural network vision models, it
has been shown that different layers of such networks learn features that reflect different kinds of visual
properties. The lower layers of vision networks tend to capture visually basic features such as Gabor
filters and colour gradients, which are then combined at later layers to construct task-specific high-level
visual features that are relevant to object classification (Yosinski et al., 2014; Zeiler and Fergus, 2014). 2https://csl.psychol.cam.ac.uk/propertynorms/ 3.1
Visual Stimulus We make use of the CSLB property norm data (Devereux et al., 2014), which includes 638 concept
words together with 2725 human-elicited semantic properties2. We used a script to web scrape ten
representative images for each of these concepts from a Google image search. We manually reviewed
the images to check that they were appropriate and representative (for example, to ensure images for the
search term APPLE do not include the logo of Apple Inc.). For each word, we feed the corresponding
images into a DCNN and extract the feature map outputs at every layer of the network. Once we have
retrieved the feature maps for each concept, we perform additional preprocessing steps in order to create
embedding vectors at each layer. Each convolutional filter should activate if it receives certain visual
patterns from the stimulus, with the resulting feature map representing the activity value of each filter
at each spatial location. To obtain an overall measure of the presence of each feature in each image, we
perform global max pooling across the feature maps, which takes the highest activity value at all spacial
locations for each filter. We then average the max-pooled responses for each filter across each of our ten
images to get the final concept representation and finally normalise the vectors using L2 distance. 2https://csl.psychol.cam.ac.uk/propertynorms/ 1908 layer
Mean F1 x 100
AlexNet
VGG
ResNet
DenseNet
Figure 1: Decodability scores on human property norm data using the convolutional layers of four deep
neural networks for image classification (AlexNet, VGG ResNet, and DenseNet. The ResNet panel in-
cludes red dotted vertical lines indicating the residual connections of the network. VGG
DenseNet DenseNet layer
DenseNet Figure 1: Decodability scores on human property norm data using the convolutional layers of four deep
neural networks for image classification (AlexNet, VGG ResNet, and DenseNet. The ResNet panel in-
cludes red dotted vertical lines indicating the residual connections of the network. 3.2
Image Classification Models For our analysis, we evaluate a number of standard implementations of networks trained for image classi-
fication3. The first model is AlexNet, containing five convolutional layers followed by three feed-forward
layers. AlexNet is the most widely used pretrained DCNN in work on multimodal distributional seman-
tics. Next, we chose the VGG16 model, which has a similar architecture to AlexNet but contains 16
convolutional layers (Simonyan and Zisserman, 2014). By comparing Alexnet and VGG16, we aim to
investigate how depth affects the models’ ability to encode human-relevant semantic property knowl-
edge. For our third model, we chose ResNet34 which is not only deeper, with 34 convolutional layers,
but also has residual connections between layers. These connections allow information from lower lay-
ers to more easily flow to higher layers.The final model we consider is DenseNet; it further extends the
objective of feeding low-level information as inputs to the latter layers of the network by using dense
skip connections (Huang et al., 2017). As DenseNet has a vast number of layers (169), we only take the
output of the first convolutional layer, each block layer in the network, and each transition block (which
perform downsampling of the feature maps). ResNet and DenseNet have been shown to be amongst the
most “‘brainlike” DCNNs, insofar as their internal representations correlate well with neuroimaging data
from the human visual processing stream (Jos´e Meijer and Visser, 2019; Wen et al., 2018). 3https://pytorch.org/docs/stable/torchvision/models.html 4
Analysis To measure how well each layer of a DCNN encodes salient properties of human conceptual knowledge,
we train supervised models to predict the presence of a property for a given concept. We note that while a
supervised classifier’s ability to identify the presence of a property indicates that the property is encoded
in the representations, the converse is not always true (Collell and Moens, 2016). 3https://pytorch.org/docs/stable/torchvision/models.html 3https://pytorch.org/docs/stable/torchvision/models.html 1909 layer
Mean F1 x 100
AlexNet
VGG
ResNet
DenseNet
Figure 2: Decodability scores on fine-grained feature categories using the convolutional layers of the
four DCNNs. The ResNet panel includes red dotted lines indicating residual connections. VGG
DenseNet VGG DenseNet ayer
DenseNet Figure 2: Decodability scores on fine-grained feature categories using the convolutional layers of the
four DCNNs. The ResNet panel includes red dotted lines indicating residual connections. 4.1
Decoding Property Norms Data from DCNN layers We first preprocessed the property norm data so as to retain only semantic properties that occur for at
least 5 concepts (leaving 638 concepts and 390 properties). For each property, we perform 5-fold cross-
validation with stratified sampling so that at least one positive case occurs in each test fold, and train a
logistic regression classifier to predict the presence of that property for each embedding, recording the
average F1 score over all the folds. Since the dataset is highly imbalanced, we down-weight the negative
classes in the loss function and regularise by adding the L2 norm of the weights. After obtaining the
classification result for each property, we use the partition of properties into distinct feature classes in the
CSLB data to aggreggate the results by property class. These property classes are Taxonomic (e.g. is-an-
amphibian), Encyclopaedic (e.g. lays-spawn), Functional (e.g. hops), Visual Perceptual (e.g. is-green)
and Other perceptual (e.g. does-croak). The results are consistent across all models, with Taxonomic being the most decodable followed by
Visual Perceptual, Other Perceptual, Functional and finally Encyclopaedic (Fig. 1). These results follow
previous work where taxonomic features tend to be more decodable than other attributes, for many vector
space models. Furthermore, all types of concept properties seem to be more decodable as we move to
later layers of the network. Such results could be down to the supervised classifier being unable to make
use of the more image-specific information in the lower layers, or the fact that layers in the latter part
of the network tend to be better for classification tasks. The most notable exception to this is DenseNet,
which has two spikes in performance at the convolutional bottleneck layers. 5
Improving Distributional Semantic Models with Visual Meta-Embeddings We have seen that particular layers of DCNNs best capture different types of semantic information. Here
we investigate whether we can use this insight to obtain improved image-based semantic embedding
spaces and thus build more faithful representations of conceptual meaning. (In these experiments, we
focus on ResNet, since it gave the best performance on the decoding task; for results with all four models,
see the Supplementary Table 1). 4.2
Fine-Grained Analysis of the Decoding Results Whilst the five property classes provide a useful distinction between types of semantic information, they
tend to include a broad range of semantic attributes. For example, the visual-perceptual class includes
visual features relating to colour and texture (is-green, has-smooth-skin) as well as more complex infor-
mation about form (has-four-legs). To gain a deeper understanding of the kinds of semantic knowledge
encoded in the DCNN layers, we divided the properties into more fine-grained classes. First, we split 1910 Model
Encyclo. Functional
Taxonomic
Visual Perceptual
Other Perceptual
Overall
ResNet
33.09
35.97
61.56
46.84
42.83
44.05
SVD Meta ResNet
32.68
35.92
68.12
50.19
48.22
45.80
1ToN Meta ResNet
34.44
37.45
66.77
51.28
48.25
46.74
Table 1: Average cross-validation F1 scores ×100 for the ResNet embedding space based on the penul-
timate layer, and the two meta-embedding approaches, for each of the five property classes. Encyclo. Functional
Taxonomic
Visual Perceptual
Other Perceptual
Overall Table 1: Average cross-validation F1 scores ×100 for the ResNet embedding space based on the penul-
timate layer, and the two meta-embedding approaches, for each of the five property classes. the Visual Perceptual features into two basic types of visual information, Colour and Shape/Size. We
expect the lower layers to perform well at decoding these properties since previous research has shown
that the lower layers tend to learn colour gradients and Gabor filters (Zeiler and Fergus, 2014). In the
CSLB property norm data, semantic properties always consist of a relation term and an attribute value. For example, FROG has the feature “has-legs”, where “has” is the relation. The property listing task
prompted participants to use four such relations: “is”, “has”, “does” and “made-of” (Devereux et al.,
2014). These relations relate to the type of property being described; for example, “does” relates to ac-
tion or function, while “has” corresponds to object parts. We therefore use these four relations to build
the other fine-grained categories, for a total of six categories. Based on the previous results, we expect
the later DCNN layers to have higher average F1 scores for all properties, but here we are interested in
which type of property is most decodable at each layer. the Visual Perceptual features into two basic types of visual information, Colour and Shape/Size. 4.2
Fine-Grained Analysis of the Decoding Results We
expect the lower layers to perform well at decoding these properties since previous research has shown
that the lower layers tend to learn colour gradients and Gabor filters (Zeiler and Fergus, 2014). In the
CSLB property norm data, semantic properties always consist of a relation term and an attribute value. For example, FROG has the feature “has-legs”, where “has” is the relation. The property listing task
prompted participants to use four such relations: “is”, “has”, “does” and “made-of” (Devereux et al.,
2014). These relations relate to the type of property being described; for example, “does” relates to ac-
tion or function, while “has” corresponds to object parts. We therefore use these four relations to build
the other fine-grained categories, for a total of six categories. Based on the previous results, we expect
the later DCNN layers to have higher average F1 scores for all properties, but here we are interested in
which type of property is most decodable at each layer. In the lower layers of the DCNNs, we see that Colour tends to be the most decodable followed by
“made-of” and Shape/Size, but as we move through to the middle sections of the networks “made-of”
properties become the most decodable, for all DCNNs (Fig. 2). As we move further, “has” and “is-a”
property decoding improves, and by the end either “is-a” or “made-of” become the most decodable
property types. As we move through the networks, features related to color or shape become relatively
less decodable, compared to other feature types. Overall, the results support the rationale that the penulti-
mate layer (as is commonly used) should give a good correspondence to object semantics for the purpose
of building distributional semantic models. But would such models also benefit from having direct in-
formation about different features from earlier stages of the DCNNs? 5.1
Convolutional Meta-Embeddings In order to make full use of the information generated by the network, we require a method that can effec-
tively combine the feature maps from each layer, retaining only the most relevant information from each. We construct semantic representations by aggregating features from the output of each convolution layer
by assembling them into a single set of representations known as a meta-embedding. Meta-embeddings
are vector representations that incorporate information from a set of word embeddings that can differ in
a range of aspects such as training data and training methods (Peters et al., 2018; Coates and Bollegala,
2018). Most importantly, they look to combine complementary knowledge from each embedding, and
do not require that the vectors be the same dimensionality. Here we apply two common approaches. The
first approach is a simple concatenation technique to combine all embeddings. Following previous work,
we also up-weight the best embeddings; in this case, we multiply the second-to-last layer by 5 and the
last layer by 10, keeping the other layers the same before concatenating. To reduce dimensionality, we
also apply Single Value Decomposition (SVD) to fix dimensionality to 300 while preserving information
from the most important features. We refer to these embeddings as SVD Meta ResNet. The second
approach uses a method known as 1ToN (Yin and Sch¨utze, 2016); this method looks to learn set of meta- 1911 K Nearest Neighbour (K=5)
Ridge Regression
Neural Network (h=1200)
Hit@T Accuracy
Top 1
Top 5
Top 10
Top 20
Top 1
Top 5
Top 10
Top 20
Top 1
Top 5
Top 10
Top 20
Unimodal Vector Representations
ResNet
1.95
29.3
50.0
69.1
5.80
29.1
44.8
61.9
3.23
42.0
60.06
75.5
SVD Meta ResNet
2.04
28.3
50.7
68.6
4.92
43.2
61.0
75.3
2.79
45.1
62.4
76.5
1ToN Meta ResNet
2.76
29.3
53.4
71.8
5.92
41.4
58.4
74.6
2.82
44.1
61.4
76.0
GloVe
1.76
27.3
53.8
70.6
7.18
38.9
56.6
71.1
5.14
44.0
62.0
76.7
Multimodal Vector Representations
ResNet + GloVe
2.38
31.7
59.0
76.7
8.87
43.6
60.6
75.5
6.74
50.8
69.5
82.6
SVD Meta ResNet + GloVe
2.32
31.6
58.8
76.4
8.88
43.8
60.8
75.6
6.24
51.9
71.1
83.0
1ToN Meta ResNet + GloVe
2.60
32.3
60.3
78.8
8.18
48.1
66.1
80.6
5.08
52.6
70.9
83.7
Table 2: Results for zero-shot cross-modal mapping task using several predictive models. 5.1
Convolutional Meta-Embeddings The Hit@K
tells us the percentage of test features which appear in the top K neighbours with the ground truth
representations. Table 2: Results for zero-shot cross-modal mapping task using several predictive models. The Hit@K
tells us the percentage of test features which appear in the top K neighbours with the ground truth
representations. embeddings using a neural network. For each word, we have a meta-embedding vector, for which the
network predicts the associated word embedding for each of our vector space models using several linear
layers. A network which combines the information from N embeddings will contain N linear layers
which map the meta-embedding into the original constituent word embedding spaces. Suppose we have
N distributional models {W 1, W 2, . . . W N}, with equal vocabulary V , and vector lengths (ai)N
i=1 ⊂N. We define the 1ToN neural network with an embeddings matrix E ∈R|V |×k for some size k ∈R, with
N linear projections of weights Mi ∈Rk×ai and corresponding biases bi, 1 ≤i ≤N. For each word
w ∈V , let wi ∈W i be it’s associated word vector for each 1 ≤i ≤N, with meta embeddings E(w). We want to minimize the following loss function, for our neural network parameterized by θ: embeddings using a neural network. For each word, we have a meta-embedding vector, for which the
network predicts the associated word embedding for each of our vector space models using several linear
layers. A network which combines the information from N embeddings will contain N linear layers
which map the meta-embedding into the original constituent word embedding spaces. Suppose we have
N distributional models {W 1, W 2, . . . W N}, with equal vocabulary V , and vector lengths (ai)N
i=1 ⊂N. We define the 1ToN neural network with an embeddings matrix E ∈R|V |×k for some size k ∈R, with
N linear projections of weights Mi ∈Rk×ai and corresponding biases bi, 1 ≤i ≤N. For each word
w ∈V , let wi ∈W i be it’s associated word vector for each 1 ≤i ≤N, with meta embeddings E(w). We want to minimize the following loss function, for our neural network parameterized by θ: L(θ) =
N
X
j=1
βj(| ˆwj −wj|2 + λ|Mj|2)
(1) (1) ˆwj = MT
j E(w) + bj
(2) (2) where [β1, β2 . . . 6
Experiments To evaluate these two meta-embedding models, we repeat the decoding experiment with the SVD and a
1ToN meta-embeddings both of size 300 built using the feature maps from all of the ResNet convolutional
layers. We compare the meta-embeddings with embeddings constructed from the penultimate layer of
ResNet (i.e. the traditional approach) to see how well they decode each property type. 5.1
Convolutional Meta-Embeddings βN] are the scaler weightings for each component embedding, though we set these
values to one. We instead up-weight the embeddings from the last two convolutional layers which we
multiply by 5 and 10 respectively. We call this the 1ToN Meta ResNet embedding. where [β1, β2 . . . βN] are the scaler weightings for each component embedding, though we set these
values to one. We instead up-weight the embeddings from the last two convolutional layers which we
multiply by 5 and 10 respectively. We call this the 1ToN Meta ResNet embedding. 6.1
Property Decodability The results are displayed in Table 4. We see that both meta-embedding approaches, ensembling over
the convolutional layers of ResNet, are better representations for decoding human property knowledge
than the traditional approach of using the penultimate layer of ResNet alone. We see that there is no real
change in how decodable Encyclopaedic or Functional properties are in the meta embeddings, which is
to expected, as this is where text-based word embeddings have been shown to perform strongest. Further-
more, Taxonomic and Visual Perceptual properties are more decodable since certain layers more strongly
encode different types of visual information depending on their location in the DCNN. Surprisingly,
Other Perceptual information, such as olfactory or taste-based features are also more decodable in the
meta-embeddings. Overall, Taxonomic, Visual Perceptual and Other Perceptual have the most significant
improvement when using all layers, with the overall F1 score increasing by 5 on average for these three
categories, compared with using the penultimate layer of ResNet alone. 1912 (a) Car - Predictions from ResNet
convolution layer 3
(b) Fruit - Predictions from ResNet
convolution layer 15
(c) Wampimuk - Predictions from ResNet
convolution layer 27
(d) Guitar - Predictions from ResNet
convolution layer 35
Figure 3: Top predictions from the zero-shot cross-modal mapping task for 4 example images. Property
predictions for each image are from different convolutional layers of ResNet. Each colour represents a
feature category: Taxonomic , Visual Perceptual , Functional and Other Perceptual . (b) Fruit - Predictions from ResNet
convolution layer 15 (a) Car - Predictions from ResNet
convolution layer 3 (b) Fruit - Predictions from ResNet
convolution layer 15 (a) Car - Predictions from ResNet
convolution layer 3 y
(c) Wampimuk - Predictions from ResNet
convolution layer 27 (d) Guitar - Predictions from ResNet
convolution layer 35 (d) Guitar - Predictions from ResNet
convolution layer 35 (c) Wampimuk - Predictions from ResNet
convolution layer 27 Figure 3: Top predictions from the zero-shot cross-modal mapping task for 4 example images. Property
predictions for each image are from different convolutional layers of ResNet. Each colour represents a
feature category: Taxonomic , Visual Perceptual , Functional and Other Perceptual . Figure 3: Top predictions from the zero-shot cross-modal mapping task for 4 example images. Property
predictions for each image are from different convolutional layers of ResNet. Each colour represents a
feature category: Taxonomic , Visual Perceptual , Functional and Other Perceptual . 6.2
Cross-Modal Embedding-to-Property Mapping While the sparse property vectors obtained from norming studies are useful in cognitive science due to
their interpretability, as a lexical resource they are very limited in size, due to being created manually. This has driven recent work aiming to learn zero-shot cross-modal mappings between a pretrained se-
mantic embedding space and these property vectors, so that property-norm information can be generated
automatically from word embeddings (Derby et al., 2019; Fagarasan et al., 2015). Furthermore, we can
extend our analysis of the convolutional layers from global to local interpretations based on some sample
images (See appendix B). Here we evaluate how accurately our models predict semantic properties for
unseen concept words in a zero-shot set-up using several regression models. We predict the property
vector for each test concept and find the top T nearest neighbours of the predicted vector, to determine
whether the concept word for the ground-truth vector is retrieved within that set, which we refer to as
a hit. We perform repeated 10-fold cross-validation on the concepts due to the small number of train-
ing samples and average the number of hits across all test folds at each T, for T ∈[1, 5, 10, 20] in our
evaluations. We perform 5 repeats of each cross-validation. To learn a cross-modal mapping, we report
the results for three different models. A k-nearest-neighbours model with k = 5, ridge regression and
a neural network with one hidden layer. The neural network had a hidden layer of size 1200, Relu ac-
tivations and used the Adam optimiser. We include a neural network as previous work has shown that
they give the strongest performance on this zero-shot cross-modal mapping task (Li and Summers-Stay,
2019). The loss function we use is based on the cosine similarity function from Lazaridou et al. (2014). 6.2
Cross-Modal Embedding-to-Property Mapping As the number of models being ensembled increases, information can get
lost when concatenating to high dimensionality (Neill and Bollegala, 2018), but with the 1ToN method
the network effectively retains the important information from the ensembled component embeddings
because of the learning objective. and Moens, 2018). Hence, we perform a hyperparameter search using a small grid of values with 5-fold
cross validation to determine the best set of training parameters. To avoid over-fitting, we determine
crossvalidation performance using Mean Average Precision (MAP). To illustrate this cross-modal map-
pling approach, examples of zero-shot property predictions for held-out images are presented in Figure
3. We also combined the image embeddings with text embeddings to create multimodal distributional
models that have been shown to give better performance on cross-modal mapping (Bulat et al., 2016). For the text embeddings, we use Spacy’s GloVe vectors (Pennington et al., 2014), from the large English
language model. To build the text+image multimodal models, we concatenate the L2-normalized vectors
from the GloVe embeddings with each of our image-based embeddings, which gives us three multimodal
models in total. The results are presented in Table 2. We see that in all cases, the meta-embeddings out-
perform the embeddings from the penultimate layer of ResNet, and in particular, the 1ToN embeddings
show the best performance. As the number of models being ensembled increases, information can get
lost when concatenating to high dimensionality (Neill and Bollegala, 2018), but with the 1ToN method
the network effectively retains the important information from the ensembled component embeddings
because of the learning objective. 6.3
Semantic Similarity Task A common benchmark to evaluate distributional semantic models is to directly compare word similarity
scores with human annotator similarity ratings for word pairs. We utilize MEN (Bruni et al., 2012) and
SimLex999 (Hill et al., 2015), for which we have 104 and 48 word pair ratings respectively. In this final
evaluation of the models, we use cosine similarity to score word-pair similarity and then use Spearman
ρ to measure the correlation between embedding word similarities and the human annotator ratings. As
we can see in Table 3, the results again show the same pattern, with the meta embeddings outperforming
the penultimate ResNet layer for both the unimodal and multimodal (text+image) embeddings. 6.2
Cross-Modal Embedding-to-Property Mapping For each ground truth property norm representation y ∈G, with corresponding predicted vector ˆy from
the network parameterised by θ, the loss function is L(θ) =
X
y∈G
1
2(1 −cos(y, ˆy))
(3) (3) Training neural networks on such a small set of data points for zero-shot cross-modal mapping can be
difficult, as several problems arise such as “hubness” (Radovanovi´c et al., 2010), “pollution” (Lazari-
dou et al., 2015a) and neighbourhood structures resembling the input space more than the output (Collell Training neural networks on such a small set of data points for zero-shot cross-modal mapping can be
difficult, as several problems arise such as “hubness” (Radovanovi´c et al., 2010), “pollution” (Lazari-
dou et al., 2015a) and neighbourhood structures resembling the input space more than the output (Collell 1913 Model
MEN (104)
SimLex999 (48)
Unimodal Vector Representations
ResNet
0.540
0.324
SVD Meta ResNet
0.555
0.360
1ToN Meta ResNet
0.683
0.32
GloVe
0.804
0.210
Multimodal Vector Representations
ResNet + GloVe
0.829
0.322
SVD Meta ResNet + GloVe
0.829
0.316
1ToN Meta ResNet + GloVe
0.846
0.491
Table 3: Spearman ρ correlation with MEN and SimLex999 human similarity benchmarks. MEN (104)
SimLex999 (48) Table 3: Spearman ρ correlation with MEN and SimLex999 human similarity benchmarks. able 3: Spearman ρ correlation with MEN and SimLex999 human similarity benchmarks. and Moens, 2018). Hence, we perform a hyperparameter search using a small grid of values with 5-fold
cross validation to determine the best set of training parameters. To avoid over-fitting, we determine
crossvalidation performance using Mean Average Precision (MAP). To illustrate this cross-modal map-
pling approach, examples of zero-shot property predictions for held-out images are presented in Figure
3. We also combined the image embeddings with text embeddings to create multimodal distributional
models that have been shown to give better performance on cross-modal mapping (Bulat et al., 2016). For the text embeddings, we use Spacy’s GloVe vectors (Pennington et al., 2014), from the large English
language model. To build the text+image multimodal models, we concatenate the L2-normalized vectors
from the GloVe embeddings with each of our image-based embeddings, which gives us three multimodal
models in total. The results are presented in Table 2. We see that in all cases, the meta-embeddings out-
perform the embeddings from the penultimate layer of ResNet, and in particular, the 1ToN embeddings
show the best performance. References Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017. Enriching word vectors with
subword information. Transactions of the Association for Computational Linguistics, 5:135–146. Danushka Bollegala and Cong Bao. 2018. Learning word meta-embeddings by autoencoding. In Proceedings of
the 27th International Conference on Computational Linguistics, pages 1650–1661. Rose Bruffaerts, Simon De Deyne, Karen Meersmans, Antonietta Gabriella Liuzzi, Gert Storms, and Rik Vanden-
berghe. 2019. Redefining the resolution of semantic knowledge in the brain: advances made by the introduction
of models of semantics in neuroimaging. Neuroscience & Biobehavioral Reviews. Elia Bruni, Gemma Boleda, Marco Baroni, and Nam-Khanh Tran. 2012. Distributional semantics in technicolor. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers-
Volume 1, pages 136–145. Association for Computational Linguistics. Elia Bruni, Nam-Khanh Tran, and Marco Baroni. 2014. Multimodal distributional semantics. Journal of Artificial
Intelligence Research, 49:1–47. Erin M Buchanan, Kathrene D Valentine, and Nicholas P Maxwell. 2019. English semantic feature production
norms: An extended database of 4436 concepts. Behavior research methods, 51(4):1849–1863. Luana Bulat, Douwe Kiela, and Stephen Clark. 2016. Vision and feature norms: Improving automatic feature
norm learning through cross-modal maps. In Proceedings of the 2016 Conference of the North American Chap-
ter of the Association for Computational Linguistics: Human Language Technologies, pages 579–588. Joshua Coates and Danushka Bollegala. 2018. Frustratingly easy meta-embedding–computing meta-embeddings
by averaging source word embeddings. arXiv preprint arXiv:1804.05262. Guillem Collell and Marie-Francine Moens. 2016. Is an image worth more than a thousand words? on the fine-
grain semantic differences between visual and linguistic representations. In Proceedings of COLING 2016, the
26th International Conference on Computational Linguistics: Technical Papers, pages 2807–2817. Guillem Collell and Marie-Francine Moens. 2018. Do neural network cross-modal mappings really bridge modal-
ities? arXiv preprint arXiv:1805.07616. Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. Imagenet: A large-scale hierarchical
image database. In 2009 IEEE conference on computer vision and pattern recognition, pages 248–255. Ieee. Steven Derby, Paul Miller, and Barry Devereux. 2019. Feature2vec: Distributional semantic modelling of human
property knowledge. arXiv preprint arXiv:1908.11439. Barry J Devereux, Lorraine K Tyler, Jeroen Geertzen, and Billi Randall. 2014. The Centre for Speech, Language
and the Brain (CSLB) concept property norms. Behavior Research Methods, 46(4):1119–1127. Samuel Evans, Cathy J Price, J¨orn Diedrichsen, Eva Gutierrez-Sigut, and Mair´ead MacSweeney. 2019. Sign and
speech share partially overlapping conceptual representations. Current Biology, 29(21):3739–3747. 7
Conclusion We have demonstrated the potential of utilizing interpretable semantic primitives derived from human
property norm data as a tool for investigating the information captured in the latent representations of
deep convolutional neural networks. We reveal that, whilst the widely accepted approach for extracting
visual semantic representations, using the penultimate layer of DCNNs, yields strong representations
of conceptual meaning, they overlook key information generated by the neural network. Instead, we
develop meta-embeddings that encompass all the salient feature information encoded in the represen-
tations produced at all layers of several DCNNs. These new vector space models are not only closer
representations of human conceptual knowledge, but also can be used to build multimodal semantic
models that improve performance on a zero-shot cross-modal mapping task and give better fit to human
semantic similarity benchmarks. Furthermore, the field of meta-embeddings is rich in potential methods
for combining vector space models from different semantic domains, while our research offers empir-
ical evidence that supports our method for constructing meta-embeddings to improve image-based and
multi-modal distributional semantic models. 1914 References Luana Fagarasan, Eva Maria Vecchi, and Stephen Clark. 2015. From distributional semantics to feature norms:
grounding semantic models in human perceptual data. In Proceedings of the 11th International Conference on
Computational Semantics, pages 52–57. Nora Fieder, Isabell Wartenburger, and Rasha Abdel Rahman. 2019. A close call: Interference from semantic
neighbourhood density and similarity in language production. Memory & cognition, 47(1):145–168. Felix Hill, Roi Reichart, and Anna Korhonen. 2015. Simlex-999: Evaluating semantic models with (genuine)
similarity estimation. Computational Linguistics, 41(4):665–695. Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger. 2017. Densely connected convo-
lutional networks. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages
4700–4708. Anne-Ruth Jos´e Meijer and Arnoud Visser. 2019. A shallow residual neural network to predict the visual cortex
response. arXiv, pages arXiv–1906. Douwe Kiela and L´eon Bottou. 2014. Learning image embeddings using convolutional neural networks for
improved multi-modal semantics. In Proceedings of the 2014 Conference on Empirical Methods in Natural
Language Processing (EMNLP), pages 36–45. 1915 Sasa L Kivisaari, Marijn van Vliet, Annika Hult´en, Tiina Lindh-Knuutila, Ali Faisal, and Riitta Salmelin. 2019a. Reconstructing meaning from bits of information. Nature communications, 10(1):1–11. Sasa L Kivisaari, Marijn van Vliet, Annika Hult´en, Tiina Lindh-Knuutila, Ali Faisal, and Riitta Salmelin. 2019b. Reconstructing meaning from bits of information. Nature communications, 10(1):1–11. Angeliki Lazaridou, Elia Bruni, and Marco Baroni. 2014. Is this a wampimuk? cross-modal mapping between
distributional semantics and the visual world. In Proceedings of the 52nd Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), pages 1403–1414. Angeliki Lazaridou, Georgiana Dinu, and Marco Baroni. 2015a. Hubness and pollution: Delving into cross-space
mapping for zero-shot learning. In Proceedings of the 53rd Annual Meeting of the Association for Computa-
tional Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long
Papers), pages 270–280. Angeliki Lazaridou, Nghia The Pham, and Marco Baroni. 2015b. Combining language and vision with a multi-
modal skip-gram model. arXiv preprint arXiv:1501.02598. Lucy Li and Jon Gauthier. 2017. Are distributional representations ready for the real world? Evaluating word
vectors for grounded perceptual meaning. In Proceedings of the First Workshop on Language Grounding for
Robotics, pages 76–85, Vancouver, Canada, August. Association for Computational Linguistics. Dandan Li and Douglas Summers-Stay. 2019. Mapping distributional semantics to property norms with deep
neural networks. Big Data and Cognitive Computing, 3(2):30. Ken McRae, George S Cree, Mark S Seidenberg, and Chris McNorgan. References 2005. Semantic feature production norms
for a large set of living and nonliving things. Behavior Research Methods, 37(4):547–559. Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of
words and phrases and their compositionality. In Advances in Neural Information Processing Systems, pages
3111–3119. Avo Murom¨agi, Kairit Sirts, and Sven Laur. 2017. Linear ensembles of word embedding models. arXiv preprint
arXiv:1704.01419. Gregory Murphy. 2004. The big book of concepts. MIT press. Gregory Murphy. 2004. The big book of concepts. MIT press. James O’ Neill and Danushka Bollegala. 2018. Angular-based word meta-embedding learning. arXiv preprint
arXiv:1808.04334. Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014. Glove: Global vectors for word representa-
tion. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP),
pages 1532–1543, Doha, Qatar, October. Association for Computational Linguistics. Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettle-
moyer. 2018. Deep contextualized word representations. arXiv preprint arXiv:1802.05365. Milos Radovanovi´c, Alexandros Nanopoulos, and Mirjana Ivanovi´c. 2010. On the existence of obstinate results
in vector space models. In Proceedings of the 33rd international ACM SIGIR conference on Research and
development in information retrieval, pages 186–193. Dana Rubinstein, EffiLevi, Roy Schwartz, and Ari Rappoport. 2015. How well do distributional models capture
different types of semantic knowledge? In Proceedings of the 53rd Annual Meeting of the Association for
Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume
2: Short Papers), volume 2, pages 726–730. Carina Silberer. 2017. Grounding the meaning of words with visual attributes. In Visual Attributes, pages 331–
362. Springer. Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recogni-
tion. arXiv preprint arXiv:1409.1556. Pia Sommerauer and Antske Fokkens. 2018. Firearms and tigers are dangerous, kitchen knives and zebras are not:
Testing whether word embeddings can tell. In Proceedings of the 2018 EMNLP Workshop BlackboxNLP: An-
alyzing and Interpreting Neural Networks for NLP, pages 276–286, Brussels, Belgium, November. Association
for Computational Linguistics. 1916 Haiguang Wen, Junxing Shi, Wei Chen, and Zhongming Liu. 2018. Deep residual network predicts cortical
representation and organization of visual features for rapid categorization. Scientific reports, 8(1):1–17. Wenpeng Yin and Hinrich Sch¨utze. 2016. Learning word meta-embeddings. In Proceedings of the 54th Annual
Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1351–1360. Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson. 2014. Matthew D Zeiler and Rob Fergus. 2014. Visualizing and understanding convolutional networks. In European
conference on computer vision, pages 818–833. Springer. Appendix B. Local Interpretation. In section 3, we extracted convolutional feature maps from the layers of deep convolutional neural net-
works for a set of images representing several concepts. We then pool these features based on the concept
each image represents, so we could construct semantic representations of word meaning from each con-
volutional layer of the network. By performing a property decoding task on these embeddings, we could
then infer what semantic knowledge the model captures at particular layers of the network. Such an
approach reflects a global interpretation of what information the network captures at each convolutional
layer, and is not based on any particular sample we gave to the network. Thankfully, cross-modal map-
ping provides us with a simple method for interpreting local instances from our visual data. Mapping Images to Semantic Primitives. When we learn a cross-modal mapping from a distribu-
tional feature space onto the conceptual feature space, the model must learn to map common features
related to a particular concept onto some plausible semantic properties. Because of this, we can use our
trained cross-modal map to predict semantic properties for other instances of the concept, since it has
been trained to map common feature onto some associated conceptual knowledge. For example, if the
model learns to map features it associates as is-red based on images from some concept such as ROSE,
then a new image of a ROSE should still produce features in the convolutional layers that the cross-modal
map similarly identifies as is-red. Furthermore, images of other concepts that also have the property
is-red, such as STRAWBERRY, should be accurately inferred from the model. For our analysis, we train a ridge regression to map from the convolution layer embeddings of ResNet
onto the conceptual space. After training, we apply the appropriate image preprocessing to the sample
images that we wish to analyse and extract features across all convolutional layers. Since we frame the
task as a regression problem, each predicted conceptual mapping should not only predict the correct
properties for a concept, but also the strength of the production frequency for each concept. Production
frequencies are count-based statistics that reflect the number of times human annotators express that
property as true for a particular concept. For our analysis, we predict the conceptual representation for
each image and take the highest valued dimensions which correspond to some conceptual property. References How transferable are features in deep neural
networks? In Advances in neural information processing systems, pages 3320–3328. Matthew D Zeiler and Rob Fergus. 2014. Visualizing and understanding convolutional networks. In European
conference on computer vision, pages 818–833. Springer. 1917 Appendix A. Supplementary Figure 4. Model
Encyclo. Functional
Taxonomic
Visual Perceptual
Other Perceptual
Overall
AlexNet Representations
AlexNet
20.86
21.91
36.90
32.00
27.07
27.92
SVD Meta AlexNet
27.68
27.81
56.65
42.09
37.62
37.63
1ToN Meta AlexNet
28.40
27.16
54.84
41.67
34.78
37.00
VGG Representations
VGG
25.90
28.74
49.80
39.29
33.34
35.31
SVD Meta VGG
32.51
34.14
64.27
48.26
42.72
43.71
1ToN Meta VGG
33.16
34.93
64.48
48.71
44.47
44.34
ResNet Representations
ResNet
33.09
35.97
61.56
46.84
42.83
44.05
SVD Meta ResNet
32.68
35.92
68.12
50.19
48.22
45.80
1ToN Meta ResNet
34.44
37.45
66.77
51.28
48.25
46.74
DenseNet Representations
DenseNet
16.66
18.02
31.71
24.40
23.07
22.34
SVD Meta DenseNet
28.44
30.35
59.16
43.10
37.88
39.09
1ToN Meta DenseNet
31.10
32.61
59.86
45.64
41.13
41.42
Table 4: Average cross-validation F1 scores ×100 for each model for each of the five property classes. We have included the results of all four DCNN’s used in the work. Encyclo. Functional
Taxonomic
Visual Perceptual
Other Perceptual
Overall Table 4: Average cross-validation F1 scores ×100 for each model for each of the five property classes. We have included the results of all four DCNN’s used in the work. Appendix B. Local Interpretation. As
there are a large number of layers, we focuses on features at particular intervals of the network, in this 1918 case, layers 3, 15, 27 and 35 of ResNet. (a) Predictions from ResNet
convolution layer 3
(b) Predictions from ResNet
convolution layer 15
(c) Predictions from ResNet
convolution layer 27
(d) Predictions from ResNet
convolution layer 35
Figure 4: Top property predictions based on the image of a car with features extracted from ResNet. Each
colour represents a feature category: Taxonomic , Visual Perceptual , Functional and Encyclopaedic . (a) Predictions from ResNet
convolution layer 3 (b) Predictions from ResNet
convolution layer 15 (b) Predictions from ResNet
convolution layer 15
(d) Predictions from ResNet
convolution layer 35 (a) Predictions from ResNet
convolution layer 3
(c) Predictions from ResNet
convolution layer 27 (c) Predictions from ResNet
convolution layer 27 (d) Predictions from ResNet
convolution layer 35 Figure 4: Top property predictions based on the image of a car with features extracted from ResNet. Each
colour represents a feature category: Taxonomic , Visual Perceptual , Functional and Encyclopaedic . Concept: Car. We first chose an image of the concept CAR (displayed in Figure 4). As we can see
the lower layers are dominated by visual perceptual properties, with more high-level properties eventually
emerging in the upper layers of the network. Furthermore, the lower layers of the network tend to focus
on shape, colour and form across the entire image. We can observe this in the fact that the cross-modal
map detects properties such as made-of-wood, is-green and has-leaves, a consequence of the model
detecting the trees in the background. Notice also that the dimensions of the object become more precise
as we move to the middle layers, with features such as is-small and is-circular-round appearing at the
start, while ‘is-big-large appears in the later layers. Not only do these upper layers predict more complex
notions about the concept such as made-a-metal or is-expensive, but the attention of these features tend
to be solely related to the central object in the image, in this case, a car. Concept: Guitar. Next, we chose an image of the concept GUITAR (displayed in Figure 5), which
is another one of the concepts in our lexicon, though is not directly taken from the training data. Appendix B. Local Interpretation. We see
that the model detects some visual properties in the lower layers, which it assumes is related to another
high-level concept, an animal. We can see this from the top prediction being is-an-animal and other
features related to animals such as has-a-tail and has-fur-hair. It is not surprising that there is a high
degree of association between certain properties in the norming study, since many related to particular
taxonomies, in this case, is-an-animal. Nevertheless, as we move through the network the trajectory of
the prediction quickly becomes more related to a guitar, though is-an-animal is still predicted in the top
ten features. As we can see, these models generalise quite well to other images and can still decode
complex features related to conceptual categories. Concept: Fruit. Next, we chose an image of the concept FRUIT (displayed in Figure 6), which is
neither taken from the training data or the lexicon, but instead consists of many concepts from the data
such as APPLE, BANANA and KIWI. Here we want to analyse how our cross-modal model copes with
multiple instances of the concepts. Here, we see that the model can quickly detect visual properties such 1919 (a) Predictions from ResNet
convolution layer 3
(b) Predictions from ResNet
convolution layer 15
(c) Predictions from ResNet
convolution layer 27
(d) Predictions from ResNet
convolution layer 35
Figure 5:
Top property predictions based on the image of a guitar with features extracted from
ResNet. Each colour represents a feature category: Taxonomic , Visual Perceptual , Functional and
Other Perceptual (b) Predictions from ResNet
convolution layer 15
(d) Predictions from ResNet
convolution layer 35 (a) Predictions from ResNet
convolution layer 3 (b) Predictions from ResNet
convolution layer 15 (a) Predictions from ResNet
convolution layer 3 (b) Predictions from ResNet
convolution layer 15
(d) Predictions from ResNet
convolution layer 35 (a) Predictions from ResNet
convolution layer 3
(c) Predictions from ResNet
convolution layer 27 (d) Predictions from ResNet
convolution layer 35 (c) Predictions from ResNet
convolution layer 27 Figure 5:
Top property predictions based on the image of a guitar with features extracted from
ResNet. Each colour represents a feature category: Taxonomic , Visual Perceptual , Functional and Other Perceptual . Other Perceptual . as is-yellow, is-red and is-small, though other high-level properties emerge such as is-eaten-edible and
is-a-fruit. Again, is-an-animal emerges as a property, which may be due to bias in the model towards
high occurring properties. as is-yellow, is-red and is-small, though other high-level properties emerge such as is-eaten-edible and
is-a-fruit. Again, is-an-animal emerges as a property, which may be due to bias in the model towards
high occurring properties. Concept: Wampimuk. Finally, we chose an imagined concept, known as a WAMPIMUK (displayed
in Figure 7). A Wampimuk is a fictitious concept proposed by Lazaridou et al. (2014), to convey how
context can shape our perception of a concept, even if we have never heard of it before. Humans are
capable of building complete semantic representations for concepts, even when the information is frag-
mented (Kivisaari et al., 2019b). Hence, a sentence like ”We found a cute, hairy wampimuk sleeping
behind the tree” can communicate a lot of information about what a wampimuk might be, in this case,
a small furry animal. The authors create a potential image of such an animal that does not exist, yet we
can extract properties about the concept just as well. Hence, we also examine the convolutional layers
of the network when given such a creature, to determine whether reasonable semantic properties can be
captured by our cross-modal model. We see that the network produces features that the cross-modal map
detects as salient aspects of the image such as is-small and has-fur-hair. Furthermore, the model can
detect conceptual knowledge related to this imaginary creature based on the context of this information. For example, in the lower layers, has-a-tail is predicted by the cross-modal map, even though there is
no evidence of this in the picture, yet it would make sense for a small creature. As we move to the final
layer of the network, we can even see complex taxonomies emerge, such as is-a-mammal that is quite
plausible. 1920 (a) Predictions from ResNet
convolution layer 3
(b) Predictions from ResNet
convolution layer 15
(c) Predictions from ResNet
convolution layer 27
(d) Predictions from ResNet
convolution layer 35
Figure 6:
Top property predictions based on the image of fruit with features extracted from
ResNet. Other Perceptual . Each colour represents a feature category: Taxonomic , Visual Perceptual , Functional and
O h
l (b) Predictions from ResNet
convolution layer 15
(d) Predictions from ResNet
convolution layer 35 (b) Predictions from ResNet
convolution layer 15 (a) Predictions from ResNet
convolution layer 3 (b) Predictions from ResNet
convolution layer 15 (a) Predictions from ResNet
convolution layer 3 (b) Predictions from ResNet
convolution layer 15
(d) Predictions from ResNet
convolution layer 35 convolution layer 3
(c) Predictions from ResNet
convolution layer 27 (d) Predictions from ResNet
convolution layer 35 (c) Predictions from ResNet
convolution layer 27 (c) Predictions from ResNet
convolution layer 27 Figure 6:
Top property predictions based on the image of fruit with features extracted from
ResNet. Each colour represents a feature category: Taxonomic , Visual Perceptual , Functional and Figure 6:
Top property predictions based on the image of fruit with features extracted from
ResNet. Each colour represents a feature category: Taxonomic , Visual Perceptual , Functional and Other Perceptual . (a) Predictions from ResNet
convolution layer 3
(b) Predictions from ResNet
convolution layer 15
(c) Predictions from ResNet
convolution layer 27
(d) Predictions from ResNet
convolution layer 35
Figure 7: Top property predictions based on the image of a wampimuk with features extracted from
ResNet. Each colour represents a feature category: Taxonomic , Visual Perceptual , Functional and
Other Perceptual . (a) Predictions from ResNet
convolution layer 3 (b) Predictions from ResNet
convolution layer 15 (b) Predictions from ResNet
convolution layer 15 (a) Predictions from ResNet
convolution layer 3 (a) Predictions from ResNet
convolution layer 3
(c) Predictions from ResNet
convolution layer 27 (b) Predictions from ResNet
convolution layer 15
(d) Predictions from ResNet
convolution layer 35 (d) Predictions from ResNet
convolution layer 35 (c) Predictions from ResNet
convolution layer 27 Figure 7: Top property predictions based on the image of a wampimuk with features extracted from
ResNet. Each colour represents a feature category: Taxonomic , Visual Perceptual , Functional and
Other Perceptual Figure 7: Top property predictions based on the image of a wampimuk with features extracted from
ResNet. Each colour represents a feature category: Taxonomic , Visual Perceptual , Functional and
Other Perceptual . 1921
|
https://openalex.org/W4225585585
|
https://www.researchsquare.com/article/rs-208666/latest.pdf
|
English
| null |
Mechanosensation by endothelial PIEZO1 is required for leukocyte diapedesis
|
Blood
| 2,022
|
cc-by
| 15,347
|
Stefan Offermanns ( stefan.offermanns@mpi-bn.mpg.de ) Stefan Offermanns ( stefan.offermanns@mpi-bn.mpg.de ) g
p //
g/
ShengPeng Wang
Cardiovascular Research Center, School of Basic Medical Sciences, Xi'an Jiaotong University Health
Science Center, Yanta District, Xi'an, China https://orcid.org/0000-0002-9030-1821
Yue Shi
Cardiovascular Research Center, School of Basic Medical Sciences, Xi'an Jiaotong University Health
Science Center
Tanja Moeller
Max Planck Institute of Molecular Biomedicine, Muenster, Germany
Rebekka Stegmeyer
Max Planck Institute of Molecular Biomedicine, Muenster, Germany
Boris Strilic
Max Planck Institute for Heart and Lung Research
Liran Xu
Cardiovascular Research Center, School of Basic Medical Sciences, Xi'an Jiaotong University
Zuyi Yuan
Xian Jiaotong University
Nina Wettschureck
Department of Pharmacology, Max Planck Institute for Heart and Lung Research, Bad Nauheim, 61231,
Germany
Dietmar Vestweber
Max Planck Institute for Molecular Biomedicine https://orcid.org/0000-0002-3517-732X
Biological Sciences - Article
Keywords: leukocyte diapedesis, in§ammation
Posted Date: February 12th, 2021
DOI: https://doi.org/10.21203/rs.3.rs-208666/v1
License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License ShengPeng Wang
Cardiovascular Research Center, School of Basic Medical Sciences, Xi'an Jiaotong University Health
Science Center, Yanta District, Xi'an, China https://orcid.org/0000-0002-9030-1821
Yue Shi
Cardiovascular Research Center, School of Basic Medical Sciences, Xi'an Jiaotong University Health
Science Center
Tanja Moeller
Max Planck Institute of Molecular Biomedicine, Muenster, Germany
Rebekka Stegmeyer
Max Planck Institute of Molecular Biomedicine, Muenster, Germany
Boris Strilic
Max Planck Institute for Heart and Lung Research
Liran Xu
Cardiovascular Research Center, School of Basic Medical Sciences, Xi'an Jiaotong University
Zuyi Yuan
Xian Jiaotong University
Nina Wettschureck
Department of Pharmacology, Max Planck Institute for Heart and Lung Research, Bad Nauheim, 61231
Germany
Dietmar Vestweber
Max Planck Institute for Molecular Biomedicine https://orcid.org/0000-0002-3517-732X Biological Sciences - Article Posted Date: February 12th, 2021 Mechanosensation by endothelial PIEZO1
1
is required for leukocyte diapedesis
2
3
4
ShengPeng Wang1,2,*, Yue Shi1,2, Tanja Möller3, Rebekka I. Stegmeyer3,
5
Boris Strilic2, Liran Xu1, Zuyi Yuan1, Nina Wettschureck2,4,5,
6
Dietmar Vestweber3, Stefan Offermanns2,4,5,*
7
8
1 Department of Cardiology, First Affiliated Hospital, Cardiovascular Research
9
Center, School of Basic Medical Sciences, Xi'an Jiaotong University, No.277 West
10
Yanta Road, Yanta District, Xi’an, China
11
2 Max Planck Institute for Heart and Lung Research, Department of Pharmacology,
12
Ludwigstr. 43, 61231 Bad Nauheim, Germany
13
3 Department of Vascular Cell Biology, Max Planck Institute of Molecular
14
Biomedicine, Muenster, Germany
15
4 Center for Molecular Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7,
16
60590 Frankfurt, Germany
17
5 Cardiopulmonary Institute, 61231 Bad Nauheim, Germany
18
19
20 Mechanosensation by endothelial PIEZO1
1
is required for leukocyte diapedesis
2
3
4
ShengPeng Wang1,2,*, Yue Shi1,2, Tanja Möller3, Rebekka I. Stegmeyer3,
5
Boris Strilic2, Liran Xu1, Zuyi Yuan1, Nina Wettschureck2,4,5,
6
Dietmar Vestweber3, Stefan Offermanns2,4,5,*
7
8
1 Department of Cardiology, First Affiliated Hospital, Cardiovascular Research
9
Center, School of Basic Medical Sciences, Xi'an Jiaotong University, No.277 West
10
Yanta Road, Yanta District, Xi’an, China
11
2 Max Planck Institute for Heart and Lung Research, Department of Pharmacology,
12
Ludwigstr. 43, 61231 Bad Nauheim, Germany
13
3 Department of Vascular Cell Biology, Max Planck Institute of Molecular
14
Biomedicine, Muenster, Germany
15
4 Center for Molecular Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7,
16
60590 Frankfurt, Germany
17
5 Cardiopulmonary Institute, 61231 Bad Nauheim, Germany
18
19
20
21
22
23
24
25
26
27
28
29
30
31
* Correspondence: S.P.W. (shengpeng.wang@xjtu.edu.cn) and
32
S.O. (stefan.offermanns@mpi-bn.mpg.de)
33 Summary
1 The extravasation of leukocytes is a critical step during inflammation which requires
2
the localized opening of the endothelial barrier1-3. This process is initiated by the
3
close interaction of leukocytes with various adhesion molecules such as intercellular
4
adhesion molecule-1 (ICAM-1) on the surface of endothelial cells4-6. It is still unclear
5
how these initial processes induce downstream signaling events resulting in the
6
opening of inter-endothelial junctions to allow leukocyte diapedesis. Here we show
7
that mechanical forces induced by leukocyte-induced clustering of ICAM-1 and fluid
8
shear
stress
exerted
by
the
flowing
blood
synergistically
activate
the
9
mechanosensitive cation channel PIEZO1 in endothelial cells. In human and mouse
10
endothelial cells exposed to low flow, PIEZO1 mediates leukocyte-induced increases
11
in [Ca2+]i and activation of downstream signaling events including phosphorylation of
12
SRC, PYK2 and myosin light chain (MLC) leading to endothelial barrier opening. 13
Mice with endothelium-specific loss of Piezo1 show decreased leukocyte
14
extravasation in different inflammation models. We found that actin polymerization
15
and actomyosin contraction induced by ICAM-1 clustering synergistically with fluid
16
shear stress increase endothelial plasma membrane tension to activate PIEZO1. Our
17
data
reveal
a
mechanism
by
which
leukocytes
and
the
hemodynamic
18
microenvironment synergize to mechanically activate endothelial PIEZO1 and
19
subsequent downstream signaling to initiate leukocyte diapedesis. 20 The extravasation of leukocytes is a critical step during inflammation which requires
2
the localized opening of the endothelial barrier1-3. This process is initiated by the
3
close interaction of leukocytes with various adhesion molecules such as intercellular
4
adhesion molecule-1 (ICAM-1) on the surface of endothelial cells4-6. It is still unclear
5
how these initial processes induce downstream signaling events resulting in the
6
opening of inter-endothelial junctions to allow leukocyte diapedesis. Here we show
7
that mechanical forces induced by leukocyte-induced clustering of ICAM-1 and fluid
8
shear
stress
exerted
by
the
flowing
blood
synergistically
activate
the
9
mechanosensitive cation channel PIEZO1 in endothelial cells. In human and mouse
10
endothelial cells exposed to low flow, PIEZO1 mediates leukocyte-induced increases
11
in [Ca2+]i and activation of downstream signaling events including phosphorylation of
12
SRC, PYK2 and myosin light chain (MLC) leading to endothelial barrier opening. 13
Mice with endothelium-specific loss of Piezo1 show decreased leukocyte
14
extravasation in different inflammation models. Mechanosensation by endothelial PIEZO1
is required for leukocyte diapedesis 2 Main Text
1 The endothelial cell layer is a tight barrier for cells in the circulation. However, during
2
inflammation leukocytes are able to transmigrate the endothelium and to extravasate
3
in the perivascular space, a process which involves a well-coordinated cascade of
4
events. This includes initial leukocyte capture and rolling, firm adhesion, crawling,
5
which are then followed by breaching of the endothelial barrier and the
6
extravasation7,8. The molecular mechanisms that control and mediate the initial
7
interactions between leukocytes and endothelial cells are well-characterized and
8
involve interactions between endothelial selectins and glycoproteins of leukocytes
9
during capture and rolling steps, whereas arrest, firm adhesion and crawling are
10
mediated mainly by integrins on leukocytes which bind to endothelial intercellular and
11
vascular cell adhesion molecules (ICAM-1 and VCAM-1) and induce their
12
clustering5,8,9. How these initial processes are linked to the opening of the endothelial
13
barrier, which requires the remodeling of endothelial adherens junction as well as
14
endothelial cell contraction2,3,6,10,11 is, however, poorly understood. 15 The endothelial cell layer is a tight barrier for cells in the circulation. However, during
2
inflammation leukocytes are able to transmigrate the endothelium and to extravasate
3
in the perivascular space, a process which involves a well-coordinated cascade of
4
events. This includes initial leukocyte capture and rolling, firm adhesion, crawling,
5
which are then followed by breaching of the endothelial barrier and the
6
extravasation7,8. The molecular mechanisms that control and mediate the initial
7
interactions between leukocytes and endothelial cells are well-characterized and
8
involve interactions between endothelial selectins and glycoproteins of leukocytes
9
during capture and rolling steps, whereas arrest, firm adhesion and crawling are
10
mediated mainly by integrins on leukocytes which bind to endothelial intercellular and
11
vascular cell adhesion molecules (ICAM-1 and VCAM-1) and induce their
12
clustering5,8,9. How these initial processes are linked to the opening of the endothelial
13
barrier, which requires the remodeling of endothelial adherens junction as well as
14
endothelial cell contraction2,3,6,10,11 is, however, poorly understood. 15 Opening of endothelial junctions and endothelial cell contraction during
16
leukocyte transmigration requires activation of endothelial signaling pathways, and
17
several studies have shown that leukocytes induce an increase in the cytosolic Ca2+
18
concentration in endothelial cells12-16. This calcium signal is not necessary for
19
leukocyte adhesion but is required to induce transendothelial migration12-14. Summary
1 We found that actin polymerization
15
and actomyosin contraction induced by ICAM-1 clustering synergistically with fluid
16
shear stress increase endothelial plasma membrane tension to activate PIEZO1. Our
17
data
reveal
a
mechanism
by
which
leukocytes
and
the
hemodynamic
18
microenvironment synergize to mechanically activate endothelial PIEZO1 and
19
subsequent downstream signaling to initiate leukocyte diapedesis. 20 3 Main Text
1 ICAM-1
20
has been shown to be involved in lymphocyte-induced Ca2+ transients in endothelial
21
cells14, and more recently, the transient receptor potential (TRP) channel C6 (TRPC6)
22
was shown to be involved in endothelial calcium transients induced by neutrophils
23
and for their transendothelial migration17, but how leukocytes induce endothelial Ca2+
24
transients is still unclear. 25 4 The Piezo proteins PIEZO1 and PIEZO2 are mechanically activated cation
1
channels that form homotrimeric complexes18-20, which are sufficient to mediate
2
mechanically induced currents18. PIEZO1 has been shown to be gated directly by
3
changes in membrane tension21,22 and to mediate multiple cellular functions including
4
endothelial flow sensing23,24. 5 Endothelial PIEZO1 is critically involved in leukocyte extravasation in vivo
1 y
y
To study leukocyte extravasation in vivo, we injected TNFα into the peritoneal cavity
2
and determined the number of CD11b+/Ly6G+ myeloid cells in the peritoneal cavity 6
3
hours later. While TNFα induced a significant influx of cells into the peritoneal cavity
4
of wild-type mice compared to untreated controls, the effect of TNFα was strongly
5
reduced in EC-Piezo1-KO mice (Fig. 1d). We then studied the role of endothelial
6
PIEZO1 in a model of acute dermatitis of the ear by applying croton oil to the ear
7
surface. Six hours later, when analyzing postcapillary venules characterized by a
8
diameter of 20-30 µm, the primary site of leukocyte extravasation, we found that the
9
majority of neutrophils had completed extravasation and were found in the
10
perivascular space in wild-type mice, whereas about 25-30 % of the leukocytes were
11
found in the lumen of vessels (Fig. 1e-g). However, in EC-Piezo1-KO mice, a
12
significantly reduced portion of leukocytes had completed extravasation, and the
13
majority, about 70 % of cells, showed arrest at the luminal surface of the endothelium
14
(Fig. 1e,g), suggesting that they adhered to the endothelium but were not able to
15
initiate the process of endothelial transmigration. Also intravital microscopy of the
16
cremaster of EC-Piezo1-KO mice revealed a reduced extravasation of neutrophils
17
compared to wild-type animals after intrascrotal injection of IL-1β (Fig. 1h). 18
Hemodynamic parameters were similar in both mouse types, and there was no
19
significant different in leukocyte rolling and adhesion within venules (Extended Data
20
Fig. 2a-e). Also basal extravasation of Evans blue and extravasation after
21
subcutaneous injection of histamine or VEGF were indistinguishable between wild-
22
type and EC-Piezo1-KO mice (Fig. 1i), indicating that vascular permeability was
23
unchanged. Expression of genes encoding proteins involved in endothelial functions
24
was not changed in endothelial cells from EC-Piezo1-KO mice (Extended Data Fig. 25 To study leukocyte extravasation in vivo, we injected TNFα into the peritoneal cavity
2
and determined the number of CD11b+/Ly6G+ myeloid cells in the peritoneal cavity 6
3
hours later. While TNFα induced a significant influx of cells into the peritoneal cavity
4
of wild-type mice compared to untreated controls, the effect of TNFα was strongly
5
reduced in EC-Piezo1-KO mice (Fig. 1d). PIEZO1 is required for leukocyte transendothelial migration in vitro
7 In a screen to identify endothelial transmembrane proteins involved in the
8
transendothelial migration of leukocytes, we identified the mechanosensitive cation
9
channel PIEZO1 (Fig. 1a). The siRNA-mediated knock-down of PIEZO1 in human
10
umbilical venous endothelial cells (HUVECs) or in the mouse brain endothelial cell
11
line bEnd.3 strongly reduced endothelial transmigration of polymorphonuclear
12
leukocytes (PMNs) and peripheral blood mononuclear cells (PBMCs) (Fig. 1b,
13
Extended Data Fig. 1a,b). Similarly, PMN transmigration through mouse lung
14
endothelial cells (MLECs) from mice with endothelium-specific loss of Piezo1 (EC-
15
Piezo1-KO) was strongly reduced compared to wild-type MLECs (Fig. 1c). Basal
16
expression of VE-cadherin and PECAM-1 as well as TNFα-induced expression of
17
ICAM-1 was not affected by loss of PIEZO1 (Extended Data Fig. 1c). Both, PMN
18
transmigration of human and murine endothelial cells could be stimulated by Yoda1,
19
an activator of PIEZO1, and this effect was not seen after knock-down of PIEZO1 in
20
endothelial cells (Fig. 1c, Extended Data Fig. 1b,d,e). PMN rolling on and adhesion to
21
endothelial cells was not affected by loss of endothelial Piezo1 expression (Fig. 1b,
22
Extended Data Fig. 1a), and endothelial barrier function analyzed by measuring the
23
electrical impedance of the endothelial cell layer in vitro or by determining the
24
permeability of the endothelial layer for FITC-labelled dextran in vivo was not affected
25
by loss of PIEZO1 (Extended Data Fig. 1f,g). 26 5 5 Endothelial PIEZO1 is critically involved in leukocyte extravasation in vivo
1 We then studied the role of endothelial
6
PIEZO1 in a model of acute dermatitis of the ear by applying croton oil to the ear
7
surface. Six hours later, when analyzing postcapillary venules characterized by a
8
diameter of 20-30 µm, the primary site of leukocyte extravasation, we found that the
9
majority of neutrophils had completed extravasation and were found in the
10
perivascular space in wild-type mice, whereas about 25-30 % of the leukocytes were
11
found in the lumen of vessels (Fig. 1e-g). However, in EC-Piezo1-KO mice, a
12
significantly reduced portion of leukocytes had completed extravasation, and the
13
majority, about 70 % of cells, showed arrest at the luminal surface of the endothelium
14
(Fig. 1e,g), suggesting that they adhered to the endothelium but were not able to
15
initiate the process of endothelial transmigration. Also intravital microscopy of the
16
cremaster of EC-Piezo1-KO mice revealed a reduced extravasation of neutrophils
17
compared to wild-type animals after intrascrotal injection of IL-1β (Fig. 1h). 18
Hemodynamic parameters were similar in both mouse types, and there was no
19
significant different in leukocyte rolling and adhesion within venules (Extended Data
20
Fig. 2a-e). Also basal extravasation of Evans blue and extravasation after
21
subcutaneous injection of histamine or VEGF were indistinguishable between wild-
22
type and EC-Piezo1-KO mice (Fig. 1i), indicating that vascular permeability was
23
unchanged. Expression of genes encoding proteins involved in endothelial functions
24 6 Leukocytes and low flow synergistically induce downstream signaling via
1
PIEZO1
2 Leukocytes and low flow synergistically induce downstream signaling via
1
PIEZO1
2 Since increases in [Ca2+]i are involved in the initiation of leukocyte transendothelial
3
migration and since leukocyte diapedesis occurs in the presence of low flow in vivo,
4
we studied leukocyte-induced increases in endothelial cytosolic Ca2+ in the absence
5
and presence of flow at a low shear rate (1.2 dynes/cm2). In control HUVECs loaded
6
with Fluo4, low flow or addition of human neutrophils alone had only a small effect on
7
the cytosolic [Ca2+] (Fig. 2a and b). However, when given together, endothelial
8
cytosolic Ca2+ concentration strongly increased (Fig. 2a and b). Leukocyte-dependent
9
increases in endothelial [Ca2+]i were rarely seen during rolling or initial arrest of
10
leukocytes but during crawling and also during the transmigration phase (Extended
11
Data Fig. 3a). After knock-down of endothelial PIEZO1, calcium transients induced by
12
leukocytes in the presence of low flow were strongly reduced or absent (Fig. 2c and
13
d). 14 We then tested the potential involvement of PIEZO1 in the induction of
15
downstream signaling events mediating leukocyte-induced opening of endothelial
16
junctions. Again, low flow alone or addition of PMNs had hardly any effect on the
17
phosphorylation of PYK2, SRC and the myosin light chain (MLC) in endothelial cells. 18
However, application of both flow and PMNs synergistically induced endothelial
19
PYK2, SRC and MLC phosphorylation, and this effect was strongly reduced after
20
knock-down of PIEZO1 (Fig. 2e,f). The effect of PMNs and flow was mimicked by
21
application of Yoda1, and this effect was blocked after knock-down of PIEZO1 (Fig. 22
2g,h). Inhibition of endothelial PYK2 or SRC by PF431396 or PP2, respectively,
23
reduced basal transmigration and blocked Yoda1-induced increases in PMN
24
transmigration (Fig. 2i). These data strongly indicate that PMNs and low flow
25
synergistically induce downstream signaling events through endothelial PIEZO1
26 7 resulting in the opening of endothelial junctions and leukocyte transmigration. 1
Consistent with this, we also observed synergism in the ability of flow and PMNs to
2
induce internalization of VE-cadherin, an effect strongly inhibited after siRNA-
3
mediated suppression of PIEZO1 expression (Fig. 2j). 4 resulting in the opening of endothelial junctions and leukocyte transmigration. 1
Consistent with this, we also observed synergism in the ability of flow and PMNs to
2
induce internalization of VE-cadherin, an effect strongly inhibited after siRNA-
3
mediated suppression of PIEZO1 expression (Fig. 2j). 4 Endothelial PIEZO1 is activated by flow-induced ICAM-1 clustering
6 Since engagement of endothelial ICAM-1 by leukocyte β2 integrins is essential for
7
induction of increases in [Ca2+]i and diapedesis, we suppressed expression of
8
endothelial ICAM-1 and found that this strongly inhibited PMN-induced Ca2+
9
transients as well as PYK2, SRC and MLC phosphorylation (Extended Fig. 3b-e). 10
Clustering of ICAM-1 using beads coated with anti-ICAM-1 antibodies mimicked the
11
effect of PMNs and induced Ca2+ transients as well as phosphorylation of PYK2,
12
SRC and MLC synergistically with low flow (Fig. 3a,b, Extended Data Fig. 3f,g). The
13
effects of ICAM-1 clustering were inhibited after knock-down of PIEZO1 and ICAM-1
14
(Fig. 3a-d). To test the direct effect of ICAM-1 clustering on PIEZO1-dependent
15
signaling, we cross-linked bound anti-ICAM-1 antibodies. As shown in Fig. 3e-h,
16
clustering of ICAM-1 induced by antibody cross-linking mimicked the effect of PMNs
17
and of anti-ICAM-1 beads and induced Ca2+ transients as well as phosphorylation of
18
PYK2, SRC and MLC synergistically with application of low flow in a PIEZO1-
19
dependent manner. This strongly indicates that clustering and activation of ICAM-1
20
by leukocytes in the presence of flow results in PIEZO1-mediated downstream
21
signaling leading to the opening of endothelial junctions. 22 ICAM-1 clustering and flow synergistically increase membrane tension
24 To analyze how ICAM-1 clustering leads to PIEZO1 activation, we determined
25
membrane tension using the fluorescent lipid tension sensor, FliptR. We found that
26 8 clustering of ICAM-1 leads to a small increase in endothelial membrane tension (Fig. 1
4a and b). Low flow, which by itself had no significant effect on endothelial membrane
2
tension, when given together with ICAM-1 clustering agents, resulted in a very strong
3
increase in plasma membrane tension (Fig. 4a and b). This indicates that low flow
4
and ICAM-1 clustering synergistically increase endothelial membrane tension. Since
5
ICAM-1 clustering has been shown to induce localized actin polymerization and
6
myosin activity resulting in a localized reorganization of the cortical cytoskeleton25,
7
we analyzed the effect of cytochalasin D and blebbistatin on membrane tension and
8
on phosphorylation of PYK2, SRC and MLC induced by ICAM-1 clustering. Both
9
agents blocked ICAM-1-dependent changes in membrane tension and downstream
10
signalling (Fig. 4c,d, Extended Data Fig. 4a,b). We then tested whether increased
11
membrane tension and downstream signaling induced by ICAM-1 clustering involves
12
the actin adapter proteins α-actinin-4 and cortactin which have been shown to be
13
recruited after clustering of ICAM-1 and to be required for ICAM-1-mediated
14
endothelial
actin
filament
branching
as
well
as
for
ICAM-1-dependent
15
transendothelial migration of neutrophils26-28. As shown in Fig. 4e,f and Extended
16
Data Fig. 4c-e, siRNA-mediated knock-down of the RNAs encoding α-actinin-4 and
17
cortactin (ACTN4 and CTTN, respectively) blocked the effect of ICAM-1 clustering on
18
membrane tension and downstream signaling. 19 Discussion
21 These include exposure to fluid shear stress, mechanical
2
indentation of the cell surface, compression of the cell membrane or forces generated
3
at the cell-cell or cell-matrix interface19,38. Our data show that low-level fluid shear
4
stress as well as interaction of leukocytes with the endothelial surface act in an
5
synergistic manner to activate endothelial PIEZO1 and to initiate leukocyte
6
transendothelial migration. In postcapillary venules, the place where leukocyte
7
extravasation mainly takes place, the shear stress exerted by the flowing blood is
8
relatively low at about 1-2 dynes/cm2 39,40, a shear rate hardly able to induce PIEZO1
9
mediated signaling24. Consistent with this, we saw only very small increases in [Ca2+]i
10
and no significant increase in the phosphorylation of PYK2, SRC or MLC in response
11
to fluid shear stress of 1.2 dynes/cm2. Similarly, when ICAM-1 clustering was induced
12
in TNFα-pretreated endothelial cells by PMNs or anti-ICAM-1 antibodies, only small
13
increases in [Ca2+]i and phosphorylation of PYK2, SRC and MLC could be observed,
14
which were further reduced after suppression of PIEZO1 expression. However, when
15
endothelial ICAM-1 clustering was induced while exposing cells to low flow,
16
downstream signaling was strongly activated in a PIEZO1-dependent manner. This
17
raised the question as to how ICAM-1 clustering promotes PIEZO1 activation. Both
18
ICAM-1 clustering and adhesion of leukocytes to endothelial cells have been shown
19
to induce stiffening of the endothelial surface and to induce traction stress25,41-44. 20
These endothelial responses are due to increased actin polymerization and
21
actomyosin contractility of the cortical cytoskeleton which lead to increased cortical
22
tension45,46 and require recruitment of the actin adapter proteins α-actinin-4 and
23
cortactin25,26. Since the plasma membrane and the underlying cortical cytoskeleton
24
are closely interconnected45,46, changes in the actomyosin cortical tension directly
25 Various mechanical stimuli acting on cellular membranes have been shown to
1
be able to activate PIEZO1. These include exposure to fluid shear stress, mechanical
2
indentation of the cell surface, compression of the cell membrane or forces generated
3
at the cell-cell or cell-matrix interface19,38. Our data show that low-level fluid shear
4
stress as well as interaction of leukocytes with the endothelial surface act in an
5
synergistic manner to activate endothelial PIEZO1 and to initiate leukocyte
6
transendothelial migration. Discussion
21 We here report that the mechanosensitive cation channel PIEZO1 plays a critical role
22
in transendothelial migration of leukocytes in vitro and in vivo by integrating
23
coincident mechanical signals induced by low levels of fluid shear stress and by
24
leukocyte-dependent clustering of ICAM-1. PIEZO1 thereby mediates an increase in
25
[Ca2+]i which leads to localized opening of the endothelial barrier (Fig. 4g). Recent
26 9 9 data reported that TRPC6 is critically involved in leukocyte-induced increases in
1
endothelial [Ca2+]i during leukocyte transendothelial migration17. In in vitro
2
experiments, we were not able to observe a contribution of TRPC6 in leukocyte-
3
induced calcium transients, but it could well be that both PIEZO1 and TRPC6 operate
4
in parallel under in vivo conditions or that PIEZO1 is involved in the initiation of
5
leukocyte extravasation whereas TRPC6 mediates increases in [Ca2+]i mainly at later
6
stages of diapedesis. However, our study considerably differed from the study
7
reported by Weber et al. in that we investigated the role of PIEZO1 in the presence of
8
physiological flow conditions and therefore also addressed whether the local
9
hemodynamic environment of the adhering and transmigrating leukocyte has an
10
effect on leukocyte-induced downstream signaling and transmigration. 11 ICAM-1 is a central endothelial adhesion receptor that functions as a ligand for
12
β2 integrins on leukocytes and promotes leukocyte spreading, migration and
13
transmigration29,30. Engagement of ICAM-1 leads to clustering of ICAM-1 molecules
14
and cytoskeletal changes such as actin polymerization, MLC phosphorylation and
15
actomyosin contractility, which promote junctional opening16,25,30,31. ICAM-1 also
16
promotes increase in [Ca2+]i levels12,32, which has been shown to lead to activation of
17
SRC via protein kinase C14, and ICAM-1-mediated activation of SRC and PYK2 has
18
been shown to be required for VE-cadherin-dependent leukocyte transendothelial
19
migration33. This involves direct phosphorylation of VE-cadherin33-35 as well as
20
indirect regulation of VE-cadherin through VE-PTP36 or by phosphorylation of β-
21
catenin37. How ICAM-1 clustering induces activation of these downstream signaling
22
events resulting in junctional opening and transendothelial migration was unclear. 23
Our data indicate that downstream signaling through ICAM-1 requires co-activation of
24
PIEZO1 by fluid shear stress and ICAM-1-induced reorganization of the cortical
25
cytoskleleton. 26 10 Various mechanical stimuli acting on cellular membranes have been shown to
1
be able to activate PIEZO1. Discussion
21 In postcapillary venules, the place where leukocyte
7
extravasation mainly takes place, the shear stress exerted by the flowing blood is
8
relatively low at about 1-2 dynes/cm2 39,40, a shear rate hardly able to induce PIEZO1
9
mediated signaling24. Consistent with this, we saw only very small increases in [Ca2+]i
10
and no significant increase in the phosphorylation of PYK2, SRC or MLC in response
11
to fluid shear stress of 1.2 dynes/cm2. Similarly, when ICAM-1 clustering was induced
12
in TNFα-pretreated endothelial cells by PMNs or anti-ICAM-1 antibodies, only small
13
increases in [Ca2+]i and phosphorylation of PYK2, SRC and MLC could be observed,
14
which were further reduced after suppression of PIEZO1 expression. However, when
15
endothelial ICAM-1 clustering was induced while exposing cells to low flow,
16
downstream signaling was strongly activated in a PIEZO1-dependent manner. This
17
raised the question as to how ICAM-1 clustering promotes PIEZO1 activation. Both
18
ICAM-1 clustering and adhesion of leukocytes to endothelial cells have been shown
19
to induce stiffening of the endothelial surface and to induce traction stress25,41-44. 20
These endothelial responses are due to increased actin polymerization and
21
actomyosin contractility of the cortical cytoskeleton which lead to increased cortical
22
tension45,46 and require recruitment of the actin adapter proteins α-actinin-4 and
23
cortactin25,26. Since the plasma membrane and the underlying cortical cytoskeleton
24
are closely interconnected45,46, changes in the actomyosin cortical tension directly
25
affect plasma membrane tension46 and therefore are likely to regulate PIEZO1
26 1 11 activity. Consistent with this, we found that inhibition of actin polymerization and
1
myosin activity as well as siRNA-mediated knock-down of α-actinin-4 and cortactin
2
blocked ICAM-1-mediated increases in membrane tension as well as PIEZO1-
3
dependent downstream signaling required for leukocyte transendothelial migration. 4 Recent data indicate that changes in plasma membrane tension are restricted
5
to subcellular domains of endothelial cells as local increases in membrane tension
6
lead only to local activation of mechanosensitive ion channels such as PIEZO147. 7
The finding that leukocyte-induced endothelial downstream signaling and diapedesis
8
require PIEZO1 and flow is consistent with earlier observations, which showed that
9
fluid shear stress promotes transendothelial leukocyte migration48-50. Our data
10
identify a novel synergism of local hemodynamic forces and initial endothelial
11
leukocyte adhesion to induce plasma membrane tension and endothelial signaling
12
events which promote leukocyte extravasation. Discussion
21 The discovery of a novel
13
mechanosensing and mechanosignalling process required for the initial phase of
14
leukocyte diapedesis may also lead to new anti-inflammatory therapeutic approaches. 15 16 12 Acknowledgements
1 The authors wish to thank Svea Hümmer for secretarial help, Yin Hao (Instrument
2
Analysis Center of Xi’an Jiaotong University) for assistance with fluorescence-lifetime
3
imaging microscopy and Shuya Liu, Martina Finkbeiner, Ulrike Krüger and Claudia
4
Ullmann for technical help. This work was supported by the Collaborative Research
5
Centre 834 of the German Research Foundation (S.O.), the Collaborative Research
6
Center 1348 of the German Research Foundation (D.V.) and the National Natural
7
Science Foundation of China (grant #81870220, S.P.W), Shaanxi Natural Science
8
Fund for Distinguished Young Scholars of China (S2020-JC-JQ-0239, S.P.W). 9
10 Author contributions
11 S.P.W. initiated and designed the study, performed experiments, analyzed data and
12
wrote the manuscript; Y.S. performed in vitro experiments; T.M. and R.I.S. performed
13
in vivo experiments; B.S. helped with in vitro and in vivo experiments; L.X. and Z.Y. 14
helped with in vitro experiments; N.W. supervised part of the study and discussed
15
data; D.V. supervised part of the in vivo experiments and analyzed and discussed
16
data; S.O. designed and supervised the study, discussed data and wrote the
17
manuscript. All authors commented on the manuscript. 18 Author information
20 The authors declare no competing financial interests. Correspondence and request
21
for materials should be addressed to S.O. (stefan.offermanns@mpi-bn.mpg.de) or
22
S.P.W. (shengpeng.wang@xjtu.edu.cn). 23 13 References
1 et al. TRPC6 is the endothelial calcium channel that
1
leukocyte transendothelial migration during the inflammatory respons
2
Med 212, 1883-1899, doi:10.1084/jem.20150353 (2015). 3
18 Coste, B. et al. Piezo proteins are pore-forming subunits of me
4
activated channels. Nature 483, 176-181, doi:10.1038/nature10812 (201
5
19 Murthy, S. E., Dubin, A. E. & Patapoutian, A. Piezos thrive under
6
mechanically activated ion channels in health and disease. Nature
7
Molecular cell biology 18, 771-783, doi:10.1038/nrm.2017.92 (2017). 8
20 Zhao, Q. et al. Structure and mechanogating mechanism of the Piezo1
9
Nature 554, 487-492, doi:10.1038/nature25743 (2018). 10
21 Lewis, A. H. & Grandl, J. Mechanical sensitivity of Piezo1 ion channe
11
tuned by cellular membrane tension. Elife 4, doi:10.7554/eLife.12088 (2
12
22 Syeda, R. et al. Piezo1 Channels Are Inherently Mechanosensitive. Ce
13
1739-1746, doi:10.1016/j.celrep.2016.10.033 (2016). 14
23 Ranade, S. S. et al. Piezo1, a mechanically activated ion channel, is re
15
vascular development in mice. Proc Natl Acad Sci U S A 111, 1034
16
doi:10.1073/pnas.1409233111 (2014). 17
24 Li, J. et al. Piezo1 integration of vascular architecture with physiolog
18
Nature 515, 279-282, doi:10.1038/nature13701 (2014). 19
25 Lessey-Morillon, E. C. et al. The RhoA guanine nucleotide exchan
20
LARG, mediates ICAM-1-dependent mechanotransduction in endotheli
21
stimulate
transendothelial
migration. J
Immunol
192,
33
22
doi:10.4049/jimmunol.1302525 (2014). 23
26 Schaefer, A. et al. Actin-binding proteins differentially regulate endot
24
stiffness, ICAM-1 function and neutrophil transmigration. J Cell Sci 1
25
4482, doi:10.1242/jcs.154708 (2014). 26
27 Schnoor, M. et al. Cortactin deficiency is associated with reduced
27
recruitment but increased vascular permeability in vivo. J Exp Med 2
28
1735, doi:10.1084/jem.20101920 (2011). 29
28 Celli, L., Ryckewaert, J. J., Delachanal, E. & Duperray, A. Evide
30
functional role for interaction between ICAM-1 and nonmuscle alpha-a
31
leukocyte
diapedesis. J
Immunol
177,
4
32
doi:10.4049/jimmunol.177.6.4113 (2006). 33
29 Lawson, C. & Wolf, S. ICAM-1 signaling in endothelial cells. Pharmaco
34
22-32, doi:10.1016/s1734-1140(09)70004-0 (2009). 35
30 van Buul, J. D., Kanters, E. & Hordijk, P. L. Endothelial signaling by I
36
adhesion
molecules. Arterioscler
Thromb
Vasc
Biol
27,
18
37
doi:10.1161/ATVBAHA.107.145821 (2007). 38
31 Wee, H., Oh, H. M., Jo, J. H. & Jun, C. D. ICAM-1/LFA-1 interaction c
39 17 Weber, E. W. et al. TRPC6 is the endothelial calcium channel that regulates
1
leukocyte transendothelial migration during the inflammatory response. J Exp
2
Med 212, 1883-1899, doi:10.1084/jem.20150353 (2015). 3 18 Coste, B. References
1 et al. Piezo proteins are pore-forming subunits of mechanically
4
activated channels. Nature 483, 176-181, doi:10.1038/nature10812 (2012). 5 19 Murthy, S. E., Dubin, A. E. & Patapoutian, A. Piezos thrive under pressure:
6
mechanically activated ion channels in health and disease. Nature reviews. 7
Molecular cell biology 18, 771-783, doi:10.1038/nrm.2017.92 (2017). 8 20 Zhao, Q. et al. Structure and mechanogating mechanism of the Piezo1 channel. 9
Nature 554, 487-492, doi:10.1038/nature25743 (2018). 10 21 Lewis, A. H. & Grandl, J. Mechanical sensitivity of Piezo1 ion channels can be
11
tuned by cellular membrane tension. Elife 4, doi:10.7554/eLife.12088 (2015). 12 22 Syeda, R. et al. Piezo1 Channels Are Inherently Mechanosensitive. Cell Rep 17,
13
1739-1746, doi:10.1016/j.celrep.2016.10.033 (2016). 14 23 Ranade, S. S. et al. Piezo1, a mechanically activated ion channel, is required for
15
vascular development in mice. Proc Natl Acad Sci U S A 111, 10347-10352,
16
doi:10.1073/pnas.1409233111 (2014). 17 24 Li, J. et al. Piezo1 integration of vascular architecture with physiological force. 18
Nature 515, 279-282, doi:10.1038/nature13701 (2014). 19 25 Lessey-Morillon, E. C. et al. The RhoA guanine nucleotide exchange factor,
20
LARG, mediates ICAM-1-dependent mechanotransduction in endothelial cells to
21
stimulate
transendothelial
migration. J
Immunol
192,
3390-3398,
22
doi:10.4049/jimmunol.1302525 (2014). 23 26 Schaefer, A. et al. Actin-binding proteins differentially regulate endothelial cell
24
stiffness, ICAM-1 function and neutrophil transmigration. J Cell Sci 127, 4470-
25
4482, doi:10.1242/jcs.154708 (2014). 26 27 Schnoor, M. et al. Cortactin deficiency is associated with reduced neutrophil
27
recruitment but increased vascular permeability in vivo. J Exp Med 208, 1721-
28
1735, doi:10.1084/jem.20101920 (2011). 29 28 Celli, L., Ryckewaert, J. J., Delachanal, E. & Duperray, A. Evidence of a
30
functional role for interaction between ICAM-1 and nonmuscle alpha-actinins in
31
leukocyte
diapedesis. J
Immunol
177,
4113-4121,
32
doi:10.4049/jimmunol.177.6.4113 (2006). 33 29 Lawson, C. & Wolf, S. ICAM-1 signaling in endothelial cells. Pharmacol Rep 61,
34
22-32, doi:10.1016/s1734-1140(09)70004-0 (2009). 35 30 van Buul, J. D., Kanters, E. & Hordijk, P. L. Endothelial signaling by Ig-like cell
36
adhesion
molecules. Arterioscler
Thromb
Vasc
Biol
27,
1870-1876,
37
doi:10.1161/ATVBAHA.107.145821 (2007). 38 31 Wee, H., Oh, H. M., Jo, J. H. & Jun, C. D. ICAM-1/LFA-1 interaction contributes
39
to the induction of endothelial cell-cell separation: implication for enhanced
40
leukocyte
diapedesis. Exp
Mol
Med
41,
341-348,
41
doi:10.3858/emm.2009.41.5.038 (2009). 42 32 Clayton, A. et al. Cellular activation through the ligation of intercellular adhesion
43
molecule-1. 7 References
1 1
Springer, T. A. Traffic signals for lymphocyte recirculation and leukocyte
2
emigration: the multistep paradigm. Cell 76, 301-314, doi:10.1016/0092-
3
8674(94)90337-9 (1994). 4 2
Goswami, D. & Vestweber, D. How leukocytes trigger opening and sealing of
5
gaps in the endothelial barrier. F1000Res 5, doi:10.12688/f1000research.9185.1
6
(2016). 7 3
Alon, R. & van Buul, J. D. Leukocyte Breaching of Endothelial Barriers: The Actin
8
Link. Trends Immunol 38, 606-615, doi:10.1016/j.it.2017.05.002 (2017). 9 4
Butcher, E. C. Leukocyte-endothelial cell recognition: three (or more) steps to
10
specificity and diversity. Cell 67, 1033-1036, doi:10.1016/0092-8674(91)90279-8
11
(1991). 12 5
Ley, K., Laudanna, C., Cybulsky, M. I. & Nourshargh, S. Getting to the site of
13
inflammation: the leukocyte adhesion cascade updated. Nat Rev Immunol 7,
14
678-689, doi:10.1038/nri2156 (2007). 15 6
Hordijk, P. L. Recent insights into endothelial control of leukocyte extravasation. 16
Cell Mol Life Sci 73, 1591-1608, doi:10.1007/s00018-016-2136-y (2016). 17 7
Gerhardt, T. & Ley, K. Monocyte trafficking across the vessel wall. Cardiovasc
18
Res 107, 321-330, doi:10.1093/cvr/cvv147 (2015). 19 8
Vestweber, D. How leukocytes cross the vascular endothelium. Nat Rev Immunol
20
15, 692-704, doi:10.1038/nri3908 (2015). 21 9
Nourshargh, S. & Alon, R. Leukocyte migration into inflamed tissues. Immunity
22
41, 694-707, doi:10.1016/j.immuni.2014.10.008 (2014). 23 10 Muller, W. A. Transendothelial migration: unifying principles from the endothelial
24
perspective. Immunol Rev 273, 61-75, doi:10.1111/imr.12443 (2016). 25 11 Schimmel, L., Heemskerk, N. & van Buul, J. D. Leukocyte transendothelial
26
migration:
A
local
affair. Small
GTPases
8,
1-15,
27
doi:10.1080/21541248.2016.1197872 (2017). 28 12 Huang, A. J. et al. Endothelial cell cytosolic free calcium regulates neutrophil
29
migration across monolayers of endothelial cells. J Cell Biol 120, 1371-1380,
30
doi:10.1083/jcb.120.6.1371 (1993). 31 13 Su, W. H., Chen, H. I., Huang, J. P. & Jen, C. J. Endothelial [Ca(2+)](i) signaling
32
during transmigration of polymorphonuclear leukocytes. Blood 96, 3816-3822
33
(2000). 34 14 Etienne-Manneville, S. et al. ICAM-1-coupled cytoskeletal rearrangements and
35
transendothelial lymphocyte migration involve intracellular calcium signaling in
36
brain endothelial cell lines. J Immunol 165, 3375-3383 (2000). 37 15 Kielbassa-Schnepp, K. et al. Endothelial intracellular Ca2+ release following
38
monocyte adhesion is required for the transendothelial migration of monocytes. 39
Cell Calcium 30, 29-40, doi:10.1054/ceca.2001.0210 (2001). 40 16 Dalal, P. J. et al. Spatiotemporal restriction of endothelial cell calcium signaling is
41
required
during
leukocyte
transmigration. J
Exp
Med
218,
42
doi:10.1084/jem.20192378 (2021). 43 14 17 Weber, E. W. References
1 J Cell Sci 111 ( Pt 4), 443-453 (1998). 44 15 33 Allingham, M. J., van Buul, J. D. & Burridge, K. ICAM-1-mediated, Src
1
dependent vascular endothelial cadherin tyrosine phosphorylation is
2
leukocyte
transendothelial
migration. J
Immunol
179,
3
doi:10.4049/jimmunol.179.6.4053 (2007). 4
34 Alcaide, P. et al. p120-Catenin prevents neutrophil transmigration ind
5
of RhoA inhibition by impairing Src dependent VE-cadherin phosphor
6
J Physiol Cell Physiol 303, C385-395, doi:10.1152/ajpcell.00126.2012
7
35 Wallez, Y. et al. Src kinase phosphorylates vascular endothelial-
8
response to vascular endothelial growth factor: identification of tyros
9
the unique target site. Oncogene 26, 1067-1077, doi:10.1038/sj.o
10
(2007). 11
36 Soni, D. et al. Pyk2 phosphorylation of VE-PTP downstream of STI
12
Ca(2+) entry regulates disassembly of adherens junctions. Am J P
13
Cell Mol Physiol 312, L1003-L1017, doi:10.1152/ajplung.00008.2017 (
14
37 van Buul, J. D., Anthony, E. C., Fernandez-Borja, M., Burridge, K. & H
15
Proline-rich tyrosine kinase 2 (Pyk2) mediates vascular endotheli
16
based cell-cell adhesion by regulating beta-catenin tyrosine phosph
17
Biol Chem 280, 21129-21136, doi:10.1074/jbc.M500898200 (2005). 18
38 Wu, J., Lewis, A. H. & Grandl, J. Touch, Tension, and Transdu
19
Function and Regulation of Piezo Ion Channels. Trends Biochem Sc
20
doi:10.1016/j.tibs.2016.09.004 (2017). 21
39 Zhao, R. et al. Rescue of embryonic lethality in reduced folate carr
22
mice by maternal folic acid supplementation reveals early neonata
23
hematopoietic organs. J Biol Chem 276, 10224-10228 (2001). 24
40 Morikis, V. A. & Simon, S. I. Neutrophil Mechanosignaling Promo
25
Engagement With Endothelial Cells and Motility Within Inflamed Ves
26
Immunol 9, 2774, doi:10.3389/fimmu.2018.02774 (2018). 27
41 Yeh, Y. T. et al. Three-dimensional forces exerted by leukocytes a
28
endothelial cells dynamically facilitate diapedesis. Proc Natl Acad Sci
29
133-138, doi:10.1073/pnas.1717489115 (2018). 30
42 Wang, Q. & Doerschuk, C. M. Neutrophil-induced changes in the bio
31
properties of endothelial cells: roles of ICAM-1 and reactive oxygen
32
Immunol 164, 6487-6494, doi:10.4049/jimmunol.164.12.6487 (2000). 33
43 Wang, Q. et al. Changes in the biomechanical properties of neut
34
endothelial
cells
during
adhesion. Blood
97,
35
doi:10.1182/blood.v97.3.660 (2001). 36
44 Liu, Z., Sniadecki, N. J. & Chen, C. S. Mechanical Forces in Endo
37
during Firm Adhesion and Early Transmigration of Human Monocyte
38
Bioeng 3, 50-59, doi:10.1007/s12195-010-0105-3 (2010). 39
45 Kelkar, M., Bohec, P. & Charras, G. Mechanics of the cellular actin c
40 33 Allingham, M. J., van Buul, J. D. References
1 & Burridge, K. ICAM-1-mediated, Src- and Pyk2-
1
dependent vascular endothelial cadherin tyrosine phosphorylation is required for
2
leukocyte
transendothelial
migration. J
Immunol
179,
4053-4064,
3
doi:10.4049/jimmunol.179.6.4053 (2007). 4 34 Alcaide, P. et al. p120-Catenin prevents neutrophil transmigration independently
5
of RhoA inhibition by impairing Src dependent VE-cadherin phosphorylation. Am
6
J Physiol Cell Physiol 303, C385-395, doi:10.1152/ajpcell.00126.2012 (2012). 7 35 Wallez, Y. et al. Src kinase phosphorylates vascular endothelial-cadherin in
8
response to vascular endothelial growth factor: identification of tyrosine 685 as
9
the unique target site. Oncogene 26, 1067-1077, doi:10.1038/sj.onc.1209855
10
(2007). 11 36 Soni, D. et al. Pyk2 phosphorylation of VE-PTP downstream of STIM1-induced
12
Ca(2+) entry regulates disassembly of adherens junctions. Am J Physiol Lung
13
Cell Mol Physiol 312, L1003-L1017, doi:10.1152/ajplung.00008.2017 (2017). 14 37 van Buul, J. D., Anthony, E. C., Fernandez-Borja, M., Burridge, K. & Hordijk, P. L. 15
Proline-rich tyrosine kinase 2 (Pyk2) mediates vascular endothelial-cadherin-
16
based cell-cell adhesion by regulating beta-catenin tyrosine phosphorylation. J
17
Biol Chem 280, 21129-21136, doi:10.1074/jbc.M500898200 (2005). 18 38 Wu, J., Lewis, A. H. & Grandl, J. Touch, Tension, and Transduction - The
19
Function and Regulation of Piezo Ion Channels. Trends Biochem Sci 42, 57-71,
20
doi:10.1016/j.tibs.2016.09.004 (2017). 21 39 Zhao, R. et al. Rescue of embryonic lethality in reduced folate carrier-deficient
22
mice by maternal folic acid supplementation reveals early neonatal failure of
23
hematopoietic organs. J Biol Chem 276, 10224-10228 (2001). 24 40 Morikis, V. A. & Simon, S. I. Neutrophil Mechanosignaling Promotes Integrin
25
Engagement With Endothelial Cells and Motility Within Inflamed Vessels. Front
26
Immunol 9, 2774, doi:10.3389/fimmu.2018.02774 (2018). 27 41 Yeh, Y. T. et al. Three-dimensional forces exerted by leukocytes and vascular
28
endothelial cells dynamically facilitate diapedesis. Proc Natl Acad Sci U S A 115,
29
133-138, doi:10.1073/pnas.1717489115 (2018). 30 42 Wang, Q. & Doerschuk, C. M. Neutrophil-induced changes in the biomechanical
31
properties of endothelial cells: roles of ICAM-1 and reactive oxygen species. J
32
Immunol 164, 6487-6494, doi:10.4049/jimmunol.164.12.6487 (2000). 33 43 Wang, Q. et al. Changes in the biomechanical properties of neutrophils and
34
endothelial
cells
during
adhesion. Blood
97,
660-668,
35
doi:10.1182/blood.v97.3.660 (2001). 36 44 Liu, Z., Sniadecki, N. J. & Chen, C. S. Mechanical Forces in Endothelial Cells
37
during Firm Adhesion and Early Transmigration of Human Monocytes. Cell Mol
38
Bioeng 3, 50-59, doi:10.1007/s12195-010-0105-3 (2010). 39 45 Kelkar, M., Bohec, P. & Charras, G. References
1 Mechanics of the cellular actin cortex: From
40
signalling
to
shape
change. Curr
Opin
Cell
Biol
66,
69-78,
41
doi:10.1016/j.ceb.2020.05.008 (2020). 42 46 Sitarska,
E. &
Diz-Munoz,
A. Pay
attention
to
membrane
tension:
43
Mechanobiology of the cell surface. Curr Opin Cell Biol 66, 11-18,
44
doi:10.1016/j.ceb.2020.04.001 (2020). 45 16 47 Shi, Z., Graber, Z. T., Baumgart, T., Stone, H. A. & Cohen, A. E. Cell Membranes
1
Resist Flow. Cell 175, 1769-1779 e1713, doi:10.1016/j.cell.2018.09.054 (2018). 2 47 Shi, Z., Graber, Z. T., Baumgart, T., Stone, H. A. & Cohen, A. E. Cell Membran
1
Resist Flow. Cell 175, 1769-1779 e1713, doi:10.1016/j.cell.2018.09.054 (2018)
2
48 Cinamon, G., Shinder, V. & Alon, R. Shear forces promote lymphocyte migrati
3
across vascular endothelium bearing apical chemokines. Nat Immunol 2, 51
4
522, doi:10.1038/88710 (2001). 5
49 Cuvelier, S. L. & Patel, K. D. Shear-dependent eosinophil transmigration
6
interleukin 4-stimulated endothelial cells: a role for endothelium-associat
7
eotaxin-3. J Exp Med 194, 1699-1709, doi:10.1084/jem.194.12.1699 (2001). 8
50 Kitayama, J., Hidemura, A., Saito, H. & Nagawa, H. Shear stress affec
9
migration behavior of polymorphonuclear cells arrested on endothelium. C
10
Immunol 203, 39-46, doi:10.1006/cimm.2000.1671 (2000). 11
12 48 Cinamon, G., Shinder, V. & Alon, R. Shear forces promote lymphocyte migration
3
across vascular endothelium bearing apical chemokines. Nat Immunol 2, 515-
4
522, doi:10.1038/88710 (2001). 5 49 Cuvelier, S. L. & Patel, K. D. Shear-dependent eosinophil transmigration on
6
interleukin 4-stimulated endothelial cells: a role for endothelium-associated
7
eotaxin-3. J Exp Med 194, 1699-1709, doi:10.1084/jem.194.12.1699 (2001). 8 50 Kitayama, J., Hidemura, A., Saito, H. & Nagawa, H. Shear stress affects
9
migration behavior of polymorphonuclear cells arrested on endothelium. Cell
10
Immunol 203, 39-46, doi:10.1006/cimm.2000.1671 (2000). 11 12 17 Figures and figure legends
1 Figures and figure legends
1 Figures and figure legends
1 g
g
g
2
3
Figure 1. PIEZO1 mediates leukocyte transendothelial migration in vitro and in vivo. 4 3 3 3
Figure 1. PIEZO1 mediates leukocyte transendothelial migration in vitro and in vivo. 4 (a) HUVECs pretreated with 10 ng/ml TNFα were transfected with 360 siRNAs pools
5
against RNAs encoding transmembrane proteins expressed in endothelial cells and
6
were then exposed to THP-1 monocytic cells for 3 hours. Shown is the ratio of THP-1
7
cells which transmigrated the HUVEC monolayer transfected with a particular siRNA
8
pool and with control siRNA. The plot shows the ranked average ratios of three
9
independent experiments. (b) HUVECs were transfected with control (siCtrl) or
10
PIEZO1-specific siRNA (siPIEZO1), and rolling, adhesion and transmigration of
11
human PMNs applied together with flow (1.2 dynes/cm2) were analyzed (n=8 per
12
group). Cells treated with control siRNA were set as 100%. (c) Mouse lung
13 18 endothelial cells (MLECs) were isolated from wild-type (WT) and EC-Piezo1-KO mice
1
and transmigration of mouse PMNs was determined after pretreament without or with
2
1 μM Yoda1 for 15 min (n=5). (d) Wild-type (WT) and endothelium-specific PIEZO1
3
deficient mice (EC-Piezo1-KO) were injected intraperitoneally with PBS or 500 ng of
4
TNFα, and the number of peritoneal CD11b+;Ly6G+ neutrophils was determined by
5
flow cytometry (n=4 mice (-TNFα); n=5 mice (+TNFα)). (e-g) Wild-type (WT) and EC-
6
Piezo1-KO mice were treated with croton oil on one ear. 6 h later, animals were killed
7
and ears were immunostained as whole mounts with antibodies against PECAM-1
8
(blue, endothelium), collagen-IV (red, basement membrane) and MRP14 (green,
9
neutrophil). Arrows indicate neutrophils. Scale bar: 10 μm. (e) Representative images
10
of stained ears. (f) Schematic drawing illustrating the criteria to delineate the 5
11
positions in which leukocyte are found during extravasation. (g) Distribution pattern of
12
neutrophil positions relative to the endothelium and basement membrane (n=16 mice
13
(WT); n=14 mice (EC-Piezo1-KO), 3-5 vessels were analyzed per animal). (h) WT
14
and EC-Piezo1-KO mice were analyzed by intravital microscopy of cremaster
15
venules 4 hours after injection of 50 ng IL-1β for extravasated leukocytes (n=9 mice
16
per group; 4-10 measurements per animal). Figures and figure legends
1 (i) Evans blue extravasation was
17
assessed after subcutaneous injection of 20 µl of PBS without or with 100 μM of
18
histamine or 100 ng/ml of VEGF (n=8 mice (PBS and histamine); n=4 mice (VEGF)). 19
Shown are mean values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01; ***P ≤ 0.001 (unpaired two-
20
tailed t-test). 21 19 Figure 2. Leukocytes and flow synergistically induce PIEZO1 activation to stimulate
endothelial downstream signaling. Figure 2. Leukocytes and flow synergistically induce PIEZO1 activation to stimulate
2
endothelial downstream signaling. 3 (a-d) Untransfected HUVECs (a,b) or HUVECs transfected with control (siCtrl) or
4
PIEZO1-specific siRNA (siPIEZO1) (c,d) were preactivated with TNFα, loaded with
5
Fluo-4 and were then exposed to PMNs alone, to low flow (1.2 dynes/cm2) alone or
6
to both (a,b) or to PMNs and low flow together (c,d). [Ca2+]i was determined as
7
fluorescence intensity (RFU, relative fluorescence units) (a, c). b and d show the area
8
under curve (AUC) of the [Ca2+]i-trace from 6 independent experiments (a.u.,
9
arbitrary units). (e-h) Immunoblot analysis of total and phosphorylated PYK2, SRC
10
and MLC in lysates of TNFα-activated HUVECs transfected with control siRNA (siCtrl)
11
or siRNA directed against PIEZO1 and incubated without or with human PMNs in the
12 (a-d) Untransfected HUVECs (a,b) or HUVECs transfected with control (siCtrl) or
4
PIEZO1-specific siRNA (siPIEZO1) (c,d) were preactivated with TNFα, loaded with
5
Fluo-4 and were then exposed to PMNs alone, to low flow (1.2 dynes/cm2) alone or
6
to both (a,b) or to PMNs and low flow together (c,d). [Ca2+]i was determined as
7
fluorescence intensity (RFU, relative fluorescence units) (a, c). b and d show the area
8
under curve (AUC) of the [Ca2+]i-trace from 6 independent experiments (a.u.,
9
arbitrary units). (e-h) Immunoblot analysis of total and phosphorylated PYK2, SRC
10
and MLC in lysates of TNFα-activated HUVECs transfected with control siRNA (siCtrl)
11
or siRNA directed against PIEZO1 and incubated without or with human PMNs in the
12 20 absence or presence of low flow (1.2 dynes/cm2) (e) or without or with 5 μM Yoda1
1
(g). Immunoblot analysis of PIEZO1 and GAPDH served as controls. Bar diagrams
2
(f,h) show the densitometric analysis of 3 independent experiments. Figures and figure legends
1 (i)
3
Transmigration of human PMNs across TNFα-activated HUVECs preincubated for 30
4
min with the PYK2 and SRC inhibitors PF431396 (10 μM) and PP2 (10 μM),
5
respectively (n=5 independent experiments). (j) HUVECs transfected with control
6
(siCtrl) or PIEZO1-specific siRNA (siPIEZO1) were preactivated with TNFα and were
7
then exposed to PMNs alone, to low flow (1.2 dynes/cm2) alone or to both. After 15
8
minutes VE-cadherin internalization was determined as described in the Methods
9
(n=4). Shown are mean values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01(unpaired two-tailed t-
10
test). 11 absence or presence of low flow (1.2 dynes/cm2) (e) or without or with 5 μM Yoda1
1
(g). Immunoblot analysis of PIEZO1 and GAPDH served as controls. Bar diagrams
2
(f,h) show the densitometric analysis of 3 independent experiments. (i)
3
Transmigration of human PMNs across TNFα-activated HUVECs preincubated for 30
4
min with the PYK2 and SRC inhibitors PF431396 (10 μM) and PP2 (10 μM),
5
respectively (n=5 independent experiments). (j) HUVECs transfected with control
6
(siCtrl) or PIEZO1-specific siRNA (siPIEZO1) were preactivated with TNFα and were
7
then exposed to PMNs alone, to low flow (1.2 dynes/cm2) alone or to both. After 15
8
minutes VE-cadherin internalization was determined as described in the Methods
9
(n=4). Shown are mean values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01(unpaired two-tailed t-
10
test). 11 21 Figure 3. Endothelial PIEZO1 activation by leukocytes involves ICAM-1 activation
and flow. 1 Figure 3. Endothelial PIEZO1 activation by leukocytes involves ICAM-1 activation
2
and flow. 3 (a-h) TNFα-activated HUVECs transfected with control siRNA (siCtrl) or siRNA
4
directed against ICAM-1 or PIEZO1 were exposed to low flow alone, anti-ICAM-1
5
antibody beads (ICAM-1 beads) alone or both (a-d) or to low flow alone, anti-ICAM-1
6
clustering antibodies (ICAM-1 XL) or both (e-h), and immunoblot analysis of total and
7
phosphorylated PYK2, SRC and MLC was performed. Immunoblot analysis of
8
GAPDH served as controls. Bar diagrams (b,f) show the densitometric analysis of 3
9
independent experiments. Alternatively, the free [Ca2+]i was determined after loading
10
of cells with Fluo4 (c,g). Bar diagrams (d,h) show the area under the curve (AUC) of
11
the [Ca2+]i-trace from 3 independent experiments (a.u., arbitrary units). Shown are
12
mean values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01 (unpaired two-tailed t-test). 13 22 Figure 4. Figures and figure legends
1 Flow and ICAM-1 clustering synergistically increase endothelial membrane
tension. (a b) Fluorescence lifetime τ1 images of FliptR in TNFα-activated HUVECs kept Figure 4. Flow and ICAM-1 clustering synergistically increase endothelial membrane
3
tension. 4 (a,b) Fluorescence lifetime τ1 images of FliptR in TNFα-activated HUVECs kept
5
under static conditions or in the presence of low flow (1.2 dynes/cm2) or exposed to
6
anti-ICAM-1 antibody beads or to anti-ICAM-1-crosslinking antibodies (ICAM-1 XL)
7
without or together with low flow. The color bar corresponds to lifetime in
8
nanoseconds (ns). Bar length: 15 µm. Corresponding lifetime mean values indicating
9
membrane tension are shown in the bar diagram (b; n = 40 measurements from 5
10 (a,b) Fluorescence lifetime τ1 images of FliptR in TNFα-activated HUVECs kept
5
under static conditions or in the presence of low flow (1.2 dynes/cm2) or exposed to
6
anti-ICAM-1 antibody beads or to anti-ICAM-1-crosslinking antibodies (ICAM-1 XL)
7
without or together with low flow. The color bar corresponds to lifetime in
8
nanoseconds (ns). Bar length: 15 µm. Corresponding lifetime mean values indicating
9
membrane tension are shown in the bar diagram (b; n = 40 measurements from 5
10 23 independent experiments). (c-f) HUVECs were preincubated without or with 10 µM
1
cytochalasin D (CytoD) or 30 µM blebbistatin (Bleb) (c,d) or were transfected with
2
control siRNA (siCtrl) or siRNA directed against the RNA encoding α-actinin-4
3
(siACTN4) or cortactin (siCTTN) (e,f) and were exposed to low flow alone, anti-ICAM-
4
1 clustering antibodies (ICAM-1 XL) alone or both, and membrane tension was
5
determined using FliptR (c,e; n = 20 measurements from 3 independent experiments)
6
or immunoblot analysis of total and phosphorylated PYK2, SRC and MLC was
7
performed (d,f). Bar diagrams show lifetime mean values (c,e). (g) Schematic
8
representation showing how fluid shear stress exerted by the flowing blood and
9
leukocyte-induced ICAM-1 clustering synergistically activate PIEZO1 to induce
10
downstream signaling events resulting in opening of the endothelial barrier. Shown
11
are mean values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01; ***P ≤ 0.001 (unpaired two-tailed t-
12
test). 13 24 2
3
Ext. Data Figure 1. PIEZO1 mediates leukocyte transendothelial migration in vitro. 4
(a-g) The indicated endothelial cells were transfected with control (siCtrl) or PIEZO1-
5
specific siRNA (siPIEZO1). Figures and figure legends
1 (a) Rolling, adhesion and transmigration of mouse PMNs
6
(n=8 per group) applied together with flow (1.2 dynes/cm2) to a bEnd.3 cell
7
monolayer. Cells treated with control siRNA were set as 100%. (b,d,e)
8
Transmigration of human PBMCs (b) (n=4 per group), human PMNs (d) (n=6 per
9
group) or mouse PMNs (e) (n=6 per group) across HUVECs (b,d) or bEnd.3 cells (e)
10
pre-treated without or with 1 μM Yoda1 for 15 min. (c) HUVECs were transfected with
11
control siRNA or siRNA directed against PIEZO1 and were incubated with 10 ng/ml
12
TNFα for 15 h. Cells were then lysed and the indicated proteins were analyzed by
13
immunoblotting using the indicated antibodies. (f) HUVEC barrier integrity was
14
assessed using an electric cell-substrate impedance sensing (ECIS) system in the
15
absence or presence of 1 μM Yoda1 (n=8 per group). (g) Paracellular permeability of
16
the endothelial monolayer cultured in transwell plates was determined using 40 kDa
17
FITC-dextran (n=5 per group; a.u., arbitrary units). Shown are mean values ± s.e.m.;
18
*P ≤ 0.05; **P ≤ 0.01; ***P ≤ 0.001 (unpaired two-tailed t-test). 19 2
3
Ext. Data Figure 1. PIEZO1 mediates leukocyte transendothelial migration in vitro
4 2 2
3
Ext. Data Figure 1. PIEZO1 mediates leukocyte transendothelial migration in vitro. 4 3 Data Figure 1. PIEZO1 mediates leukocyte transendothelial migration in vitro. Ext. Data Figure 1. PIEZO1 mediates leukocyte transendothelial migration in vitro. (a-g) The indicated endothelial cells were transfected with control (siCtrl) or PIEZO1-
5
specific siRNA (siPIEZO1). (a) Rolling, adhesion and transmigration of mouse PMNs
6
(n=8 per group) applied together with flow (1.2 dynes/cm2) to a bEnd.3 cell
7
monolayer. Cells treated with control siRNA were set as 100%. (b,d,e)
8
Transmigration of human PBMCs (b) (n=4 per group), human PMNs (d) (n=6 per
9
group) or mouse PMNs (e) (n=6 per group) across HUVECs (b,d) or bEnd.3 cells (e)
10
pre-treated without or with 1 μM Yoda1 for 15 min. (c) HUVECs were transfected with
11
control siRNA or siRNA directed against PIEZO1 and were incubated with 10 ng/ml
12
TNFα for 15 h. Cells were then lysed and the indicated proteins were analyzed by
13
immunoblotting using the indicated antibodies. (f) HUVEC barrier integrity was
14
assessed using an electric cell-substrate impedance sensing (ECIS) system in the
15
absence or presence of 1 μM Yoda1 (n=8 per group). Figures and figure legends
1 (g) Paracellular permeability of
16
the endothelial monolayer cultured in transwell plates was determined using 40 kDa
17
FITC-dextran (n=5 per group; a.u., arbitrary units). Shown are mean values ± s.e.m.;
18
*P ≤ 0.05; **P ≤ 0.01; ***P ≤ 0.001 (unpaired two-tailed t-test). 19 25 Ext. Data Fig. 2. Effect of endothelial PIEZO1 knock-out on hemodynamic
parameters, leukocyte rolling and adhesion as well as on expression of various
genes. Ext. Data Fig. 2. Effect of endothelial PIEZO1 knock-out on hemodynamic
2
parameters, leukocyte rolling and adhesion as well as on expression of various
3
genes. 4 Ext. Data Fig. 2. Effect of endothelial PIEZO1 knock-out on hemodynamic
2
parameters, leukocyte rolling and adhesion as well as on expression of various
3
genes. 4 (a-e) WT and EC-Piezo1-KO mice were analyzed by intravital microscopy of
5
Cremaster venules 4 hours after injection of 50 ng IL1β for the number of adhering
6
PMNs (a), rolling PMNs per second per mm of vessel length (b), rolling flux fraction
7
(c), Newtonian wall shear rates (d) and wall shear rates (e) (n=9 animals per group). 8
(f,g) Lung endothelial cells were isolated from wild-type (WT) and EC-Piezo1-KO
9
mice and analyzed by RNA-sequencing (f) or by immunoblotting (g). Shown are
10
mean values ± s.e.m.; n.s., not significant (unpaired two-tailed t-test). 11 26 1
Ext. Data Fig. 3. Increases in [Ca2+]i and downstream signaling mediated by PIEZO1
2
and ICAM-1. 3 Ext. Data Fig. 3. Increases in [Ca2+]i and downstream signaling mediated by PIEZO1
2
and ICAM-1. 3 (a) HUVECs loaded with Fluo4 were exposed to human neutrophils together with flow
4
(1.2 dynes/cm2), and intracellular free [Ca2+]i was measured during different phases
5
of PMN-endothelial cell interaction (n=6 per group) (RFU, relative fluorescence units). 6
(b-e) TNFα-activated HUVECs transfected with control siRNA (siCtrl) or siRNA
7
directed against ICAM-1 were exposed to low flow alone, human PMNs alone or both,
8
and immunoblot analysis of total and phosphorylated PYK2, SRC and MLC was
9
performed. Immunoblot analysis of GAPDH served as control. The bar diagram (c)
10
shows the densitometric analysis of 3 independent experiments. Alternatively, the
11
free [Ca2+]i was determined after loading of cells with Fluo4 (d,e). The bar diagram (e)
12
shows the area under the curve (AUC) of the [Ca2+]i-trace from 3 independent
13
experiments (a.u., arbitrary units). diagrams show the statistical analysis of 3 independently performed immunoblot
1
experiments. (d,e) Analysis of knock-down efficiency in HUVECs. HUVECs were
2
transfected with control siRNA (siCtrl) or siRNA directed against ACTN4 (d) or CTTN
3
(e). Knock-down efficiency was analyzed by qRT-PCR (n=3). Shown are mean
4
values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01 (unpaired two-tailed t-test).
5 Cell culture and cell isolation
2 Human umbilical vein endothelial cells (HUVECs) were obtained from Lonza and
3
cultured with EGM-2 (Lonza) supplemented with 5% fetal bovine serum (FBS)
4
(Lonza). Only confluent cells at passage ≤4 were used in experiments. THP-1
5
monocyte cells were obtained from Sigma (Cat. No. 88081201) and were cultured in
6
RPMI 1641 medium (Invitrogen) supplemented with 2 mM glutamine and 10% FBS. 7
The bEnd.3 cell line was obtained from ATCC and cells were cultured in DMEM
8
medium (Invitrogen) supplemented with 10% FBS. Primary mouse lung endothelial
9
cells (MLECs) were isolated using CD31-labelled dynabead (Miltenyi Biotec, Cat. No. 10
130-097-418) and were further purified by FACS using anti-CD144-PE antibodies
11
(BD Biosciences, Cat. No. 562243) as described previously51,52. Human
12
polymorphonuclear leukocytes (PMNs) and peripheral blood mononuclear cells
13
(PBMC) were isolated from peripheral blood by density gradient centrifugation using
14
Histopaque 1077 and 1119 (Sigma-Aldrich) and were resuspended in Hanks
15
balanced salt solution (HBSS) with 20 mM HEPES (pH 7.4) and 0.5% human serum
16
albumin (Sigma-Aldrich)53,54. Mouse PMNs from murine femora and tibiae were
17
isolated with an EasySep Mouse Neutrophil Enrichment Kit (STEMCELL
18
Technologies, Canada) according to manufacturer’s instructions. The PMNs were
19
resuspended in Hanks balanced salt solution (HBSS) containing 20 mM HEPES (pH
20
7.4) and 0.5% fetal calf serum and were immediately used for transmigration assays. 21
22 Human umbilical vein endothelial cells (HUVECs) were obtained from Lonza and
3
cultured with EGM-2 (Lonza) supplemented with 5% fetal bovine serum (FBS)
4
(Lonza). Only confluent cells at passage ≤4 were used in experiments. THP-1
5
monocyte cells were obtained from Sigma (Cat. No. 88081201) and were cultured in
6
RPMI 1641 medium (Invitrogen) supplemented with 2 mM glutamine and 10% FBS. 7
The bEnd.3 cell line was obtained from ATCC and cells were cultured in DMEM
8
medium (Invitrogen) supplemented with 10% FBS. Primary mouse lung endothelial
9
cells (MLECs) were isolated using CD31-labelled dynabead (Miltenyi Biotec, Cat. No. 10
130-097-418) and were further purified by FACS using anti-CD144-PE antibodies
11
(BD Biosciences, Cat. No. 562243) as described previously51,52. Cell culture and cell isolation
2 Human
12
polymorphonuclear leukocytes (PMNs) and peripheral blood mononuclear cells
13
(PBMC) were isolated from peripheral blood by density gradient centrifugation using
14
Histopaque 1077 and 1119 (Sigma-Aldrich) and were resuspended in Hanks
15
balanced salt solution (HBSS) with 20 mM HEPES (pH 7.4) and 0.5% human serum
16
albumin (Sigma-Aldrich)53,54. Mouse PMNs from murine femora and tibiae were
17
isolated with an EasySep Mouse Neutrophil Enrichment Kit (STEMCELL
18
Technologies, Canada) according to manufacturer’s instructions. The PMNs were
19
resuspended in Hanks balanced salt solution (HBSS) containing 20 mM HEPES (pH
20
7.4) and 0.5% fetal calf serum and were immediately used for transmigration assays. 21
22 Figures and figure legends
1 (f,g) HUVECs were loaded with Fluo4 and
14
exposed to low flow (1.2 dynes/cm2) alone, anti-ICAM-1 antibody-linked beads
15
(beads) or both flow and beads, and free [Ca2+]i was determined (RFU, relative
16
fluorescence units). The bar diagram shows the statistical evaluation of the area
17
under the curve (AUC) (n=3) (a.u., arbitrary units). Shown are mean values ± s.e.m.;
18
*P ≤ 0.05; **P ≤ 0.01 (unpaired two-tailed t-test). 19 27 27
1
2
Ext. Data Fig. 4. Flow and ICAM-1 clustering synergistically induce downstream
3
signalling. 4
(a-c) HUVECs were preincubated without or with 10 µM cytochalasin D (CytoD) or 30
5 1
2
Ext. Data Fig. 4. Flow and ICAM-1 clustering synergistically induce downstream
3 Ext. Data Fig. 4. Flow and ICAM-1 clustering synergistically induce downstream
3
signalling. 4 (a-c) HUVECs were preincubated without or with 10 µM cytochalasin D (CytoD) or 30
5
µM blebbistatin (Bleb) (a,b) or were transfected with control siRNA (siCtrl) or siRNA
6
directed against the RNA encoding α-actinin-4 (siACTN4) or cortactin (siCTTN) (c)
7
and were exposed to low flow alone, anti-ICAM-1 clustering antibodies (ICAM-1 XL)
8
alone or both and membrane tension was determined using FliptR (a), or immunoblot
9
analysis of total and phosphorylated PYK2, SRC and MLC was performed (b,c). Bar
10 28 diagrams show the statistical analysis of 3 independently performed immunoblot
1
experiments. (d,e) Analysis of knock-down efficiency in HUVECs. HUVECs were
2
transfected with control siRNA (siCtrl) or siRNA directed against ACTN4 (d) or CTTN
3
(e). Knock-down efficiency was analyzed by qRT-PCR (n=3). Shown are mean
4
values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01 (unpaired two-tailed t-test). 5 diagrams show the statistical analysis of 3 independently performed immunoblot
1
experiments. (d,e) Analysis of knock-down efficiency in HUVECs. HUVECs were
2
transfected with control siRNA (siCtrl) or siRNA directed against ACTN4 (d) or CTTN
3
(e). Knock-down efficiency was analyzed by qRT-PCR (n=3). Shown are mean
4
values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01 (unpaired two-tailed t-test). 5 diagrams show the statistical analysis of 3 independently performed immunoblot
1
experiments. (d,e) Analysis of knock-down efficiency in HUVECs. HUVECs were
2
transfected with control siRNA (siCtrl) or siRNA directed against ACTN4 (d) or CTTN
3
(e). Knock-down efficiency was analyzed by qRT-PCR (n=3). Shown are mean
4
values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01 (unpaired two-tailed t-test). 5 29 siRNA-mediated knockdown
23 Cells were transfected with siRNAs using Opti-MEM and Lipofectamine RNAiMAX
24
(Invitrogen) as described previously55. For transfection of cells in ibidi flow chambers,
25
20 pmoles of siRNA were mixed gently with RNAiMAX in 20 μl Opti-MEM (Thermo
26 30 Fisher) and incubated for 30 minutes at room temperature. The mixture was then
1
added to 100 μl of cell culture medium, and cells in the flow chamber (ibidi µ-slide I)
2
were covered by the medium. The medium was changed after 6 hours. 18 hours later,
3
the siRNA transfection was repeated, and experiments were performed 48 hours
4
later. For transfection of cells in 96-transwell plates (Corning), 2.5 pmoles siRNA in
5
10 μl were prepared and added to 50 μl cell culture medium. siRNAs against PIEZO1
6
and ICAM1 were from Sigma-Aldrich, and siRNAs against ACTN4 and CTTN were
7
from Genepharma. The targeted sequences of siRNAs directed against RNAs
8
encoding PIEZO1, ICAM-1, α-actinin-4 and cortactin were: PIEZO1 (human), 5′-
9
CCAAGTACTGGATCTATGT-3′,
5′-GCAAGTTCGTGCGCGGATT-3′,
and
5′-
10
AGAAGAAGATCGTCAAGTA-3′; ICAM-1 (human), 5′-CAGCGGAAGATCAAGAAAT-
11
3′, 5′-CCGAGCTCAAGTGTCTAAA-3′, 5′-CAACCAATGTGCTATTCAA-3′; α-actinin-4
12
(human)
5′-CCACATCAGCTGGAAGGATGGTC-3′,
5′-
13 Fisher) and incubated for 30 minutes at room temperature. The mixture was then
1
added to 100 μl of cell culture medium, and cells in the flow chamber (ibidi µ-slide I)
2
were covered by the medium. The medium was changed after 6 hours. 18 hours later,
3
the siRNA transfection was repeated, and experiments were performed 48 hours
4
later. For transfection of cells in 96-transwell plates (Corning), 2.5 pmoles siRNA in
5
10 μl were prepared and added to 50 μl cell culture medium. siRNAs against PIEZO1
6
and ICAM1 were from Sigma-Aldrich, and siRNAs against ACTN4 and CTTN were
7
from Genepharma. The targeted sequences of siRNAs directed against RNAs
8
encoding PIEZO1, ICAM-1, α-actinin-4 and cortactin were: PIEZO1 (human), 5′-
9
CCAAGTACTGGATCTATGT-3′,
5′-GCAAGTTCGTGCGCGGATT-3′,
and
5′-
10
AGAAGAAGATCGTCAAGTA-3′; ICAM-1 (human), 5′-CAGCGGAAGATCAAGAAAT-
11
3′, 5′-CCGAGCTCAAGTGTCTAAA-3′, 5′-CAACCAATGTGCTATTCAA-3′; α-actinin-4
12
(human)
5′-CCACATCAGCTGGAAGGATGGTC-3′,
5′-
13 GCAGCAGCGCAAGACCTTC-3′; cortactin (human) 5′-CCAGGAGCATATCAACATA-
14
3′; 5′-GCAACTTATTGTATCTGAA-3. 15 SiRNAs used for the screen were pools of siRNAs of a customized siRNA
16
library (Sigma) directed against 360 genes encoding transmembrane proteins
17
enriched in HUVECs. Only siRNAs resulting in suppression of expression levels to
18
less than 25% of control levels as determined by quantitative RT-PCR were used. 19
20 In vitro transmigration assay
21 HUVECs or MLECs were seeded at 1.5 × 104 cells in 100 μl and were cultured on
22
collagen-coated 96-transwell plates with polyester membranes of 8 μm pore size
23
(Corning) until reaching confluency and were then incubated with 10 ng/ml
24
recombinant TNFα (PeproTech, Cat. No. 300-01A) for 16 hours prior to the assay. 25
For transmigration experiments, the medium of the upper compartment was removed
26 31 and 8 × 103 calcein-AM-labelled PMNs were added in 50 μl of HBSS alone or in the
1
presence of the indicated substances. 30 min later, transmigrated PMNs on the lower
2
side of the filter were imaged (Olympus IX81 or Zeiss Axio Observer Z1) and
3
quantified with ImageJ. The screen to identify potential transmembrane proteins that
4
mediate trans-endothelial migration of THP-1 cells was performed in a 96-well format. 5
The ratio of transmigration for each condition was defined as transmigration of THP-1
6
cells after transfection of HUVECs with an individual siRNA pool divided by the
7
transmigration after transfection with control siRNA. For transmigration assay under
8
flow, 1.5 x 104 HUVECs were cultured per channel in a fibronectin-coated ibidi μ-
9
Slide I using a parallel-plate flow chamber and stimulated with 10 ng/ml recombinant
10
TNFα (PeproTech) 16 hours prior to the assay. The flow chamber was perfused with
11
HBSS at a constant shear flow (1.2 dyne/cm2) using a computer controlled air
12
pressure pump (ibidi) for 15 min. PMNs were subsequently injected into the perfusion
13
medium and the transmigration process was recorded for 30 min at 0.5 frames/s
14
using a IX81 (Olympus) microscope at 37°C in the presence of 5% CO2. Percentage
15
of rolling, adhering, crawling and transmigrated PMNs were manually quantified using
16
ImageJ as described previously56. Rolling cells were defined as those that move
17
more than 1 cell diameter within 10 s, while adhering cells were those that moved
18
less than 1 cell diameter within 5 s. Cells transmigrating the endothelial monolayer
19
were directly visualized and crawling was defined as the period between adhesion
20 Determination of [Ca2+]i.
7 For the determination of the intracellular Ca2+ concentration, endothelial cells were
8
loaded with 5 μM Ca2+-sensitive dye Fluo-4 AM (Molecular Probes, Cat. No. F14201)
9
in HBSS supplemented with 20 mM HEPES for 30 min at 37 °C and were then
10
washed with HBSS 3 times at room temperature. Live-cell images were acquired with
11
an IX81 microscope (Olympus) at a frequency of 1 Hz. Fluorescence intensity was
12
measured using a FlexStation 3 (Molecular Devices). 13 Immunoblot analysis
23 Cells were lysed in cell lysis buffer (Cell Signaling, Cat. No. 9803) containing 1%
24
triton X-100 or in RIPA buffer (Cell Signaling, Cat. No. 9806) supplemented with
25
protease and phosphatase inhibitors (Cell Signaling, Cat. No. 5872). Lysates were
26 32 centrifuged at 10,000 x g at 4°C for 10 minutes. Supernatants were then subjected to
1
SDS-PAGE and transferred to nitrocellulose membranes. Membranes were probed
2
with primary and HRP-conjugated secondary antibodies (Cell Signaling Technology,
3
Cat. No. 8884 and 7076, respectively) and were developed using the ECL detection
4
system (Pierce). 5 6 Transendothelial electrical resistance measurement
15 Endothelial barrier function was assessed in real-time by continuously recording
16
change in trans-endothelial electrical resistance using the ECIS ZTheta system
17
(Applied BioPhysics) as described previously57. In brief, 40,000 HUVECs were
18
seeded per well of a 96W1E + PET electrode plate coated with 1% gelatin (Applied
19
BioPhysics). HUVEC barrier integrity was analyzed after 48 h when cells had formed
20
a confluent monolayer. 21 FITC-dextran permeability assay
23 1.5 x 104 HUVECs were seeded per well of a collagen-coated transwell plate (3 μm
24
pore size, Corning) and were cultured with daily medium changes until reaching
25
confluency. For knockdown experiments, 8000 cells were transfected using
26 33 Lipofectamine RNAiMAX with the indicated siRNAs. For permeability assay, the
1
medium of the upper insert was removed and replaced with medium containing 250
2
µg/ml fluorescein isothiocyanate (FITC)-conjugated dextran (relative molecular mass
3
40 kDa; Molecular Probes). The permeability was determined by passage of FITC-
4
dextran through the endothelial monolayer into the lower chamber using FlexStation-
5
3 (Molecular Devices). 6 Lipofectamine RNAiMAX with the indicated siRNAs. For permeability assay, the
1
medium of the upper insert was removed and replaced with medium containing 250
2
µg/ml fluorescein isothiocyanate (FITC)-conjugated dextran (relative molecular mass
3
40 kDa; Molecular Probes). The permeability was determined by passage of FITC-
4
dextran through the endothelial monolayer into the lower chamber using FlexStation-
5
3 (Molecular Devices). 6 ICAM-1 clustering
1 For antibody-mediated clustering of ICAM-1, sheep-anti mouse IgG-coupled
2
dynabeads (Invitrogen, Cat. No. M280) were coated with mouse anti-human ICAM-1
3
antibody (R&D Systems, Cat. No. BBIG-I1) or IgG1 control (R&D Systems, Cat. No. 4
MAB002) overnight at 4 °C according to the manufacture’s protocol. To induce
5
clustering, 1.5 x 106 antibody-coated beads were added to a TNFα-stimulated
6
HUVEC monolayer cultured in a 6-well dish and incubated for 15 min. For some
7
experiments, antibody-coated beads were injected into the ibidi perfusion system
8
containing HUVECs to induce ICAM-1 clustering on HUVECs under physiological
9
flow conditions. Alternatively, ICAM-1 was ligated with 15 μg/ml mouse monoclonal
10
antibodies (R&D Systems, Cat. No. BBIG-I1) for 30 min, followed by washing and
11
ICAM-1 cross-linking with 50 μg/ml mouse secondary antibody (R&D Systems, Cat. 12
No. AF007) for 20 min at 37°C. Live cell imaging of membrane tension and
13
intracellular Ca2+ during ICAM-1 clustering were performed using a Leica SP8 or an
14
Olympus IX81 microscope (see above). For immunoblot analysis, beads were
15
isolated using a magnetic holder (Miltenyi Biotec), and cells were lysed with RIPA
16
buffer as described above. 17 Determination of cell membrane tension
8 Membrane tension was determined as previously described58,59. Briefly, endothelial
9
cells cultured in ibidi flow chambers or collagen-coated 8-well glass chambers (Nunc)
10
were stimulated with TNFα overnight and incubated with 1 μM of the membrane
11
tension probe Flipper-TR® (Tebu-bio, Cat. No. SC020) for 30 min at 37 °C. Cells
12
were then washed 3 times with HBSS and subjected to flow (1.2 dynes/cm2) alone,
13
PMNs alone, or flow together with PMNs, anti-ICAM-1 beads or ICAM-1-clustering
14
antibodies (see below) and imaged with a Leica-SP8 FLIM microscope. Excitation
15
was performed using a pulsed 488 nm laser (Laser kit WLL2+pulse picker, Leica
16
Microsystems) operating at 80 MHz, and the emission signal was collected from 549
17
to 651 nm with acousto-optical beam splitter (AOBS) using a gated hybrid (HyD SMD)
18
detectors and a TimeHarp 300 TCSPC Module and Picosecond Event Timer
19
(PicoQuant). SymPhoTime 64 software (PicoQuant) was then used to fit fluorescence
20
decay data. To extract lifetime information, the photon histograms from membrane
21
regions were fitted with a double exponential, and 2 fluorescence emission decay
22
times (τ1 and τ2) are extracted. The longest lifetime with the higher fit amplitude τ1 is
23
used to report membrane tension 59. 24 34 VE-cadherin internalization assay
19 The endocytosis of VE-cadherin was assayed as described60. HUVECs were grown
20
to confluency on collagen-coated eight-well glass chamber (Nunc) or fibronectin-
21
coated flow chambers (ibidi, µ-slide I). Cells were stimulated with 10 ng/ml TNFα
22
before they were incubated with 150 μM chloroquine (Sigma, Cat. No. C6628). The
23
antibody against VE-cadherin (Becton Dickinson, Cat. No. 555661) was dialyzed into
24
the cell culture medium and incubated with cells for 1h at 4 °C. Free antibody was
25
removed by rinsing cells in cold EGM-2 medium. Cells were switched back to 37°C
26 35 35
and were incubated for 15 min with 1 × 104 freshly isolated PMNs per chamber
1
without or with flow (1.2 dynes/cm2). PMNs were then removed by rinsing of cells
2
three times with PBS. To remove cell surface-bound antibody while retaining the
3
internalized antibody, cells were washed with PBS (pH 2.7) containing 25 mM glycine
4
and 5% BSA for 15 min. Cells were then fixed with 4% paraformaldehyde and
5
processed for permeabilization and immunofluorescence staining with secondary
6
antibodies Alexa Fluor 488–goat anti-mouse (Invitrogen, Cat. No. A28175), and DNA
7
was stained with DAPI (Invitrogen, Cat. No. D1306). Fluorescence signals were
8
detected with a confocal laser-scanning microscope (Leica SP8 or Olympus C2). 9
10
Mice
11
All mice were backcrossed onto a C57BL/6N background at least 10 times, and
12
experiments were performed with littermates as controls. Male and female animals at
13
an age of 8-12 weeks were used unless stated otherwise. Mice were housed under a
14
12-hour light-dark cycle with free access to food and water and under specific
15
pathogen-free conditions. The generation of inducible endothelium-specific PIEZO1-
16
deficient mice (Tek-CreERT2;Piezo1fl/fl [EC-Piezo1-KO]) was described previously 55. 17
To induce recombination, animals were injected on 5 consecutive days with 1 mg/d
18
tamoxifen (Sigma) dissolved in corn oil, and 10-14 days later experiments were
19
started. All animals which served as controls for tamoxifen-induced endothelial
20
specific animals were treated with the same amount of tamoxifen under the same
21
conditions. All procedures of animal care and use in this study were approved by the
22
local animal welfare authorities and committees (Regierungspräsidium Darmstadt,
23
Germany and Ethical Committee of Xi’an Jiaotong University, China). VE-cadherin internalization assay
19 24 and were incubated for 15 min with 1 × 104 freshly isolated PMNs per chamber
1
without or with flow (1.2 dynes/cm2). PMNs were then removed by rinsing of cells
2
three times with PBS. To remove cell surface-bound antibody while retaining the
3
internalized antibody, cells were washed with PBS (pH 2.7) containing 25 mM glycine
4
and 5% BSA for 15 min. Cells were then fixed with 4% paraformaldehyde and
5
processed for permeabilization and immunofluorescence staining with secondary
6
antibodies Alexa Fluor 488–goat anti-mouse (Invitrogen, Cat. No. A28175), and DNA
7
was stained with DAPI (Invitrogen, Cat. No. D1306). Fluorescence signals were
8
detected with a confocal laser-scanning microscope (Leica SP8 or Olympus C2). 9
10 All mice were backcrossed onto a C57BL/6N background at least 10 times, and
12
experiments were performed with littermates as controls. Male and female animals at
13
an age of 8-12 weeks were used unless stated otherwise. Mice were housed under a
14
12-hour light-dark cycle with free access to food and water and under specific
15
pathogen-free conditions. The generation of inducible endothelium-specific PIEZO1-
16
deficient mice (Tek-CreERT2;Piezo1fl/fl [EC-Piezo1-KO]) was described previously 55. 17
To induce recombination, animals were injected on 5 consecutive days with 1 mg/d
18
tamoxifen (Sigma) dissolved in corn oil, and 10-14 days later experiments were
19
started. All animals which served as controls for tamoxifen-induced endothelial
20
specific animals were treated with the same amount of tamoxifen under the same
21
conditions. All procedures of animal care and use in this study were approved by the
22
local animal welfare authorities and committees (Regierungspräsidium Darmstadt,
23
Germany and Ethical Committee of Xi’an Jiaotong University, China). 24 36 TNFα-induced peritonitis and flow cytometry
11 Wild-type or EC-Piezo1-KO mice were injected intraperitoneally with 100 µl PBS
12
containing no or 500 ng TNFα prewarmed to 37 °C. After 60 min, animals were killed
13
and cells in the peritoneal cavity were collected by flushing with 5 ml ice-cold PBS. 14
Peritoneal cells were filtered using a 70-μm strainer and analyzed by flow cytometry
15
(BD FACS Canto II). The following antibodies were used: FITC conjugated anti-
16
mouse CD11b (BioLegend, Cat. No. 101205) and APC-conjugated anti-mouse Ly6G
17
(BioLegend, Cat. No. 127614). 18 Intravital microscopy
1 Mice were anesthetized with an intraperitoneal injection of 125 mg/kg ketamine
2
hydrochloride (Zoetis) and 12.5 mg/kg xylazine (Bayer). Cremaster muscle was
3
prepared, and intravital microscopy was carried out as previously described 61. 4
Postcapillary venules with a diameter of 20 to 40 µm were chosen for recording using
5
an intravital upright microscope (Zeiss Axio Examiner Z.1) with a 20x W.Plan
6
Apochromat 1.0 numerical aperture saline immersion objective (Zeiss). Inflammation
7
was induced 4 hours before the experiment by intrascrotal injection of interleukin-1β
8
(IL-1β). 9 In vivo vascular permeability assay
20 A modified Miles assay to determine vascular permeability in the skin was performed
21
as described62. Mice were anaesthetized by isoflurane and shaved 2 days before the
22
assay. Animals were then intraveneously injected with 150 µl of 1% Evans blue
23
solution, and 15 min later 20 µl of VEGF (100 ng/ml, PreproTech) or histamine (100
24
μM, Sigma-Aldrich) in PBS was injected intradermally at the shaved back skin of the
25
mice. 20 µl of PBS was injected as control. 30 min later mice were killed by CO2,
26 37 perfused with PBS, and the area around the injection site was dissected. The
1
extravascular dye was then extracted by incubation with formamide at 56°C for 2
2
days. The
degree
of
vascular
leakage
was
determined
by
measuring
3
spectrophotometrically at 620 nm the ratio of Evans blue light absorption in test
4
samples and control samples. 5 Ear dermatitis induced by croton oil
7 The method of croton oil-induced dermatitis was perfomed as previously described
8
17,63,64. Briefly, wild-type or EC-Piezo1-KO mice were treated on the inner surface of
9
the right ear with croton oil (Sigma-Aldrich, 2% v/v in a 4:1 mixture of acetone and
10
olive oil). The left ear was treated with vehicle solution as control. Mice were killed 6
11
h later, and both ears were harvested and fixed overnight in 4% paraformaldehyde at
12
4°C in PBS. Ears were then permeabilized with 0.5% Triton X-100, 5% BSA in PBS
13
and incubated in blocking solution (0.5% Triton X-100, 5% BSA in PBS) for 24 h at
14
4°C. Thereafter samples were incubated with anti-PECAM-1 (BD, clone MEC 13.3,
15
Cat. No. 550274), anti-MRP-14 (R&D Systems, Cat. No. AF2065), or anti-collagen IV
16
(Bio-Rad, Cat. No. 2150-1470) overnight at 4°C. Alexa Fluor 488 donkey anti-goat,
17
Alexa Fluor 594 goat anti-rabbit and Alexa Fluor 647 chicken anti-rat (Thermo Fisher
18
Scientific, Cat. No. A11055, A11037 and A21472, respectively) secondary antibodies
19
were used. Tissue was mounted in fluorescent mounting medium (Polysciences, Cat. 20
No. 18606-5), Z-stack projection were acquired using a Leica SP5 or SP8 confocal
21
microscope and image analysis was performed with Imaris (Bitplane) and ImageJ. 22 Other reagents and antibodies
24 Yoda1 (Cat. No. 5586) was from Tocris Bioscience. Cytochalasin D (Cat. No. 25
C8273), Blebbistatin (Cat. No. B0560) and PF431396 (Cat. No. PZ0185) were from
26 Yoda1 (Cat. No. 5586) was from Tocris Bioscience. Cytochalasin D (Cat. No. 25
C8273), Blebbistatin (Cat. No. B0560) and PF431396 (Cat. No. PZ0185) were from
26 38 Sigma. PP2 (Cat. No. 529576) was from Merck Chemicals. Anti-PIEZO1-antibody
1
was from Proteintech (Cat. No. 15939-1-AP). Anti-GAPDH (Cat. No. #5174), anti-
2
PYK2 (Cat. No. #3292), anti-p-PYK2(Tyr402, Cat. No. #3291), anti-SRC (Cat. No. 3
#2109), anti-p-SRC (Tyr416, Cat. No. #6943), anti-MLC (Cat. No. #3672) and anti-p-
4
MLC (Ser19, Cat. No. #3675) were from Cell Signaling Technology. Anti-endomucin-
5
antibody was from Santa Cruz (Cat. No. sc-65495). 6 Statistical analysis
7 Trial experiments or experiments done previously were used to determine sample
8
size with adequate statistical power. Samples were excluded in cases where
9
RNA/cDNA quality or tissue quality after processing was poor (below commonly
10
accepted standards). Data are presented as means ± SEM. Comparisons between 2
11
groups were performed with unpaired 2-tailed Student’s t test, and multiple group
12
comparisons at different time points were performed by 2-way ANOVA followed by
13
Bonferroni’s post hoc test. P ≤ 0.05 was considered to be statistically significant. 14 Data availability
16 All data are available from the corresponding authors upon request. 17
18
19
References (Methods)
20
51 Wang, S. et al. P2Y₂ and Gq/G₁₁ control blood pressure by mediating endothelial
21
mechanotransduction. J Clin Invest 125, 3077-3086 (2015). 22
52 Kaur, H. et al. Single-cell profiling reveals heterogeneity and functional patterning
23
of GPCR expression in the vascular system. Nat Commun 8, 15700,
24
doi:10.1038/ncomms15700 (2017). 25
53 Frye, M. et al. Interfering with VE-PTP stabilizes endothelial junctions in vivo via
26
Tie-2 in the absence of VE-cadherin. J Exp Med 212, 2267-2287,
27
doi:10 1084/jem 20150718 (2015)
28 All data are available from the corresponding authors upon request. 17
18
19
References (Methods)
20 References (Methods)
20 51 Wang, S. et al. P2Y₂ and Gq/G₁₁ control blood pressure by mediating endothelial
21
mechanotransduction. J Clin Invest 125, 3077-3086 (2015). 22
52 Kaur, H. et al. Single-cell profiling reveals heterogeneity and functional patterning
23
of GPCR expression in the vascular system. Nat Commun 8, 15700,
24
doi:10.1038/ncomms15700 (2017). 25
53 Frye, M. et al. Interfering with VE-PTP stabilizes endothelial junctions in vivo via
26
Tie-2 in the absence of VE-cadherin. J Exp Med 212, 2267-2287,
27
doi:10.1084/jem.20150718 (2015). 28
54 Braun, L. J. et al. Platelets docking to VWF prevent leaks during leukocyte
29
extravasation
by
stimulating
Tie-2. Blood
136,
627-639,
30
doi:10.1182/blood.2019003442 (2020). 31 51 Wang, S. et al. P2Y₂ and Gq/G₁₁ control blood pressure by mediating endothelial
21
mechanotransduction. J Clin Invest 125, 3077-3086 (2015). 22 51 Wang, S. et al. P2Y₂ and Gq/G₁₁ control blood pressure by mediating endothelial
21
mechanotransduction. J Clin Invest 125, 3077-3086 (2015). 22
52 Kaur, H. et al. Single-cell profiling reveals heterogeneity and functional patterning
23
of GPCR expression in the vascular system. Nat Commun 8, 15700,
24
doi:10.1038/ncomms15700 (2017). 25
53 Frye, M. et al. Interfering with VE-PTP stabilizes endothelial junctions in vivo via
26
Tie 2
in
the
absence
of
VE cadherin
J
Exp
Med
212
2267 2287
27 52 Kaur, H. et al. Single-cell profiling reveals heterogeneity and functional patterning
23
of GPCR expression in the vascular system. Nat Commun 8, 15700,
24
doi:10.1038/ncomms15700 (2017). 25 53 Frye, M. et al. Interfering with VE-PTP stabilizes endothelial junctions in vivo via
26
Tie-2 in the absence of VE-cadherin. J Exp Med 212, 2267-2287,
27
doi:10.1084/jem.20150718 (2015). 28 53 Frye, M. et al. Interfering with VE-PTP stabilizes endothelial junctions in vivo via
26
Tie-2 in the absence of VE-cadherin. J Exp Med 212, 2267-2287,
27
doi:10.1084/jem.20150718 (2015). 28 54 Braun, L. J. et al. Platelets docking to VWF prevent leaks during leukocyte
29
extravasation
by
stimulating
Tie-2. Blood
136,
627-639,
30
doi:10.1182/blood.2019003442 (2020). 31 39 55 Wang, S. et al. Endothelial cation channel PIEZO1 controls blood pressure by
1
mediating
flow-induced
ATP
release. J
Clin
Invest
126,
4527-4536,
2
doi:10.1172/JCI87343 (2016). 3 56 Heemskerk, N. et al. F-actin-rich contractile endothelial pores prevent vascular
4
leakage during leukocyte diapedesis through local RhoA signalling. Nat Commun
5
7, 10493, doi:10.1038/ncomms10493 (2016). 6 57 Stanicek, L. et al. Long non-coding RNA LASSIE regulates shear stress sensing
7
and endothelial barrier function. References (Methods)
20 Commun Biol 3, 265, doi:10.1038/s42003-020-
8
0987-0 (2020). 9 58 Wang, S. et al. Adipocyte Piezo1 mediates obesogenic adipogenesis through the
10
FGF1/FGFR1
signaling
pathway
in
mice. Nat
Commun
11,
2303,
11
doi:10.1038/s41467-020-16026-w (2020). 12 59 Colom, A. et al. A fluorescent membrane tension probe. Nat Chem 10, 1118-
13
1125, doi:10.1038/s41557-018-0127-3 (2018). 14 60 Wessel, F. et al. Leukocyte extravasation and vascular permeability are each
15
controlled in vivo by different tyrosine residues of VE-cadherin. Nat Immunol 15,
16
223-230, doi:10.1038/ni.2824 (2014). 17 61 Artz, A., Butz, S. & Vestweber, D. GDF-15 inhibits integrin activation and mouse
18
neutrophil recruitment through the ALK-5/TGF-betaRII heterodimer. Blood 128,
19
529-541, doi:10.1182/blood-2016-01-696617 (2016). 20 62 Mikelis, C. M. et al. RhoA and ROCK mediate histamine-induced vascular
21
leakage
and
anaphylactic
shock. Nat
Commun
6,
6725,
22
doi:10.1038/ncomms7725 (2015). 23 63 Tubaro, A., Dri, P., Delbello, G., Zilli, C. & Della Loggia, R. The croton oil ear test
24
revisited. Agents Actions 17, 347-349, doi:10.1007/BF01982641 (1986). 25 64 Schenkel, A. R., Chew, T. W. & Muller, W. A. Platelet endothelial cell adhesion
26
molecule deficiency or blockade significantly reduces leukocyte emigration in a
27
majority
of
mouse
strains. J
Immunol
173,
6403-6408,
28
doi:10.4049/jimmunol.173.10.6403 (2004). 29 30 Figures Figures Figures
Figure 1
PIEZO1 mediates leukocyte transendothelial migration in vitro and in vivo. (a) HUVECs pretreated with
ng/ml TNFα were transfected with 360 siRNAs pools against RNAs encoding transmembrane protein
expressed in endothelial cells and were then exposed to THP-1 monocytic cells for 3 hours. Shown is t
ratio of THP-1 cells which transmigrated the HUVEC monolayer transfected with a particular siRNA po Figure 1 PIEZO1 mediates leukocyte transendothelial migration in vitro and in vivo. (a) HUVECs pretreated with 10
ng/ml TNFα were transfected with 360 siRNAs pools against RNAs encoding transmembrane proteins
expressed in endothelial cells and were then exposed to THP-1 monocytic cells for 3 hours. Shown is the
ratio of THP-1 cells which transmigrated the HUVEC monolayer transfected with a particular siRNA pool
and with control siRNA. The plot shows the ranked average ratios of three independent experiments. (b) HUVECs were transfected with control (siCtrl) or PIEZO1-speci¦c siRNA (siPIEZO1), and rolling, adhesion
and transmigration of human PMNs applied together with §ow (1.2 dynes/cm2) were analyzed (n=8
per group). Cells treated with control siRNA were set as 100%. References (Methods)
20 (c) Mouse lung 13 endothelial cells
(MLECs) were isolated from wild-type (WT) and EC-Piezo1-KO mice and transmigration of mouse PMNs
was determined after pretreament without or with 1 μM Yoda1 for 15 min (n=5). (d) Wild-type (WT) and
endothelium-speci¦c PIEZO1 de¦cient mice (EC-Piezo1-KO) were injected intraperitoneally with PBS or
500 ng ofTNFα, and the number of peritoneal CD11b+;Ly6G+ neutrophils was determined by§ow
cytometry (n=4 mice (-TNFα); n=5 mice (+TNFα)). (e-g) Wild-type (WT) and EC- Piezo1-KO mice were
treated with croton oil on one ear. 6 h later, animals were killed and ears were immunostained as whole
mounts with antibodies against PECAM-1(blue, endothelium), collagen-IV (red, basement membrane) and
MRP14 (green, neutrophil). Arrows indicate neutrophils. Scale bar: 10 μm. (e) Representative images of
stained ears. (f) Schematic drawing illustrating the criteria to delineate the 5 positions in which leukocyte
are found during extravasation. (g) Distribution pattern of neutrophil positions relative to the endothelium
and basement membrane (n=16 mice (WT); n=14 mice (EC-Piezo1-KO), 3-5 vessels were analyzed per
animal). (h) WT and EC-Piezo1-KO mice were analyzed by intravital microscopy of cremaster venules 4
hours after injection of 50 ng IL-1β for extravasated leukocytes (n=9 mice per group; 4-10 measurements
per animal). (i) Evans blue extravasation was assessed after subcutaneous injection of 20 μl of PBS
without or with 100 μM of histamine or 100 ng/ml of VEGF (n=8 mice (PBS and histamine); n=4 mice
(VEGF)). Shown are mean values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01; ***P ≤ 0.001 (unpaired two- tailed t-test). Figure 2 Figure 2
Leukocytes and §ow synergistically induce PIEZO1 activation to stimulate endothelial downstream
signaling.(a-d) Untransfected HUVECs (a,b) or HUVECs transfected with control (siCtrl) or PIEZO1-spec
siRNA (siPIEZO1) (c,d) were preactivated with TNFα, loaded with Fluo-4 and were then exposed to PM
alone, to low §ow (1.2 dynes/cm2) alone or to both (a,b) or to PMNs and low §ow together (c,d). [Ca2+
was determined as §uorescence intensity (RFU, relative §uorescence units) (a, c). b and d show the are
under curve (AUC) of the [Ca2+]i-trace from 6 independent experiments (a.u., arbitrary units). (e-h)
Immunoblot analysis of total and phosphorylated PYK2, SRC and MLC in lysates of TNFα-activated Figure 2 Figure 2 Leukocytes and §ow synergistically induce PIEZO1 activation to stimulate endothelial downstream
signaling.(a-d) Untransfected HUVECs (a,b) or HUVECs transfected with control (siCtrl) or PIEZO1-speci¦c
siRNA (siPIEZO1) (c,d) were preactivated with TNFα, loaded with Fluo-4 and were then exposed to PMNs
alone, to low §ow (1.2 dynes/cm2) alone or to both (a,b) or to PMNs and low §ow together (c,d). [Ca2+]i
was determined as §uorescence intensity (RFU, relative §uorescence units) (a, c). b and d show the area
under curve (AUC) of the [Ca2+]i-trace from 6 independent experiments (a.u., arbitrary units). (e-h)
Immunoblot analysis of total and phosphorylated PYK2, SRC and MLC in lysates of TNFα-activated HUVECs transfected with control siRNA (siCtrl) or siRNA directed against PIEZO1 and incubated without
or with human PMNs in the absence or presence of low §ow (1.2 dynes/cm2) (e) or without or with 5 μM
Yoda1 (g). Immunoblot analysis of PIEZO1 and GAPDH served as controls. Bar diagrams (f,h) show the
densitometric analysis of independent experiments. (i) Transmigration of human PMNs across TNFα-
activated HUVECs preincubated for 30 min with the PYK2 and SRC inhibitors PF431396 (10 μM) and PP2
(10 μM), respectively (n=5 independent experiments). (j) HUVECs transfected with control (siCtrl) or
PIEZO1-speci¦c siRNA (siPIEZO1) were preactivated with TNFα and were then exposed to PMNs alone, to
low §ow (1.2 dynes/cm2) alone or to both. After 15 minutes VE-cadherin internalization was determined
as described in the Methods (n=4). Shown are mean values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01(unpaired two-
tailed t- test). )
igure 3
ndothelial PIEZO1 activation by leukocytes involves ICAM-1 activation and §ow. (a-h) TNFα-activated
UVECs transfected with control siRNA (siCtrl) or siRNA directed against ICAM-1 or PIEZO1 were exposed
o low §ow alone, anti-ICAM-1 antibody beads (ICAM-1 beads) alone or both (a-d) or to low §ow alone,
nti-ICAM-1 clustering antibodies (ICAM-1 XL) or both (e-h), and immunoblot analysis of total and Figure 3 Endothelial PIEZO1 activation by leukocytes involves ICAM-1 activation and §ow. (a-h) TNFα-activated
HUVECs transfected with control siRNA (siCtrl) or siRNA directed against ICAM-1 or PIEZO1 were exposed
to low §ow alone, anti-ICAM-1 antibody beads (ICAM-1 beads) alone or both (a-d) or to low §ow alone,
anti-ICAM-1 clustering antibodies (ICAM-1 XL) or both (e-h), and immunoblot analysis of total and phosphorylated PYK2, SRC and MLC was performed. Immunoblot analysis of GAPDH served as controls. Bar diagrams (b,f) show the densitometric analysis of 3 independent experiments. Figure 2 Alternatively, the free
[Ca2+]i was determined after loading of cells with Fluo4 (c,g). Bar diagrams (d,h) show the area under the
curve (AUC) of the [Ca2+]i-trace from 3 independent experiments (a.u., arbitrary units). Shown are mean
values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01 (unpaired two-tailed t-test). curve (AUC) of the [Ca2+]i-trace from 3 independent experiments (a.u., arbitrary units). Shown are
values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01 (unpaired two-tailed t-test). Figure 4 Figure 4 Figure 4 Flow and ICAM-1 clustering synergistically increase endothelial membrane tension. (a,b) Fluorescence
lifetime τ1 images of FliptR in TNFα-activated HUVECs kept under static conditions or in the presence of
low §ow (1.2 dynes/cm2) or exposed to anti-ICAM-1 antibody beads or to anti-ICAM-1-crosslinking
antibodies (ICAM-1 XL) without or together with low §ow. The color bar corresponds to lifetime in
nanoseconds (ns). Bar length: 15 μm. Corresponding lifetime mean values indicating membrane tension
are shown in the bar diagram (b; n = 40 measurements from 5 independent experiments). (c-f) HUVECs
were preincubated without or with 10 μM 1 cytochalasin D (CytoD) or 30 μM blebbistatin (Bleb) (c,d) or
were transfected with control siRNA (siCtrl) or siRNA directed against the RNA encoding α-actinin-4 3
(siACTN4) or cortactin (siCTTN) (e,f) and were exposed to low §ow alone, anti-ICAM-4 1 clustering
antibodies (ICAM-1 XL) alone or both, and membrane tension was determined using FliptR (c,e; n = 20
measurements from independent experiments) or immunoblot analysis of total and phosphorylated
PYK2, SRC and MLC was performed (d,f). Bar diagrams show lifetime mean values (c,e). (g) Schematic
representation showing how §uid shear stress exerted by the §owing blood and leukocyte-induced ICAM-1
clustering synergistically activate PIEZO1 to induce downstream signaling events resulting in opening of
the endothelial barrier. Shown are mean values ± s.e.m.; *P ≤ 0.05; **P ≤ 0.01; ***P ≤ 0.001 (unpaired two-
tailed t- test). Wangetaleditorialpolicychecklist.pdf Supplementary Files This is a list of supplementary ¦les associated with this preprint. Click to download.
|
https://openalex.org/W2198019162
|
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0143826&type=printable
|
English
| null |
Genome Wide Methylome Alterations in Lung Cancer
|
PloS one
| 2,015
|
cc-by
| 12,791
|
RESEARCH ARTICLE OPEN ACCESS OPEN ACCESS
Citation: Mullapudi N, Ye B, Suzuki M, Fazzari M,
Han W, Shi MK, et al. (2015) Genome Wide
Methylome Alterations in Lung Cancer. PLoS ONE
10(12): e0143826. doi:10.1371/journal.pone.0143826 Genome Wide Methylome Alterations in
Lung Cancer Nandita Mullapudi1☯, Bin Ye2☯, Masako Suzuki3, Melissa Fazzari3, Weiguo Han1, Miao
K. Shi1, Gaby Marquardt1, Juan Lin4, Tao Wang5, Steven Keller6, Changcheng Zhu7,
Joseph D. Locker7¤, Simon D. Spivack1,3,5* 1 Department of Medicine/Pulmonary, Albert Einstein College of Medicine, Bronx, New York, United States of
America, 2 Department of Bioinformatics, Albert Einstein College of Medicine, Bronx, New York, United States
of America, 3 Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of
America, 4 Department of Epidemiology & Population Health, Division of Biostatistics, Albert Einstein College
of Medicine, Bronx, New York, United States of America, 5 Department of Epidemiology & Population Health,
Albert Einstein College of Medicine, Bronx, New York, United States of America, 6 Department of
Cardiovascular &Thoracic Surgery, Montefiore Medical Center, Bronx, New York, United States of America,
7 Department of Pathology, Montefiore Medical Center, Bronx, New York, United States of America a1111 ☯These authors contributed equally to this work. ¤ Current address: Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh,
Pennsylvania, United States of America
* simon.spivack@einstein.yu.edu ¤ Current address: Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Abstract Citation: Mullapudi N, Ye B, Suzuki M, Fazzari M,
Han W, Shi MK, et al. (2015) Genome Wide
Methylome Alterations in Lung Cancer. PLoS ONE
10(12): e0143826. doi:10.1371/journal.pone.0143826 Citation: Mullapudi N, Ye B, Suzuki M, Fazzari M,
Han W, Shi MK, et al. (2015) Genome Wide
Methylome Alterations in Lung Cancer. PLoS ONE
10(12): e0143826. doi:10.1371/journal.pone.0143826 Aberrant cytosine 5-methylation underlies many deregulated elements of cancer. Among
paired non-small cell lung cancers (NSCLC), we sought to profile DNA 5-methyl-cytosine
features which may underlie genome-wide deregulation. In one of the more dense interroga-
tions of the methylome, we sampled 1.2 million CpG sites from twenty-four NSCLC tumor
(T)–non-tumor (NT) pairs using a methylation-sensitive restriction enzyme- based HELP-
microarray assay. We found 225,350 differentially methylated (DM) sites in adenocarcino-
mas versus adjacent non-tumor tissue that vary in frequency across genomic compartment,
particularly notable in gene bodies (GB; p<2.2E-16). Further, when DM was coupled to differ-
ential transcriptome (DE) in the same samples, 37,056 differential loci in adenocarcinoma
emerged. Approximately 90% of the DM-DE relationships were non-canonical; for example,
promoter DM associated with DE in the same direction. Of the canonical changes noted, pro-
moter (PR) DM loci with reciprocal changes in expression in adenocarcinomas included
HBEGF, AGER, PTPRM, DPT, CST1, MELK; DM GB loci with concordant changes in expres-
sion included FOXM1, FERMT1, SLC7A5, and FAP genes. IPA analyses showed adenocar-
cinoma-specific promoter DMxDE overlay identified familiar lung cancer nodes [tP53, Akt] as
well as less familiar nodes [HBEGF, NQO1, GRK5, VWF, HPGD, CDH5, CTNNAL1, Editor: Osman El-Maarri, University of Bonn, Institut
of Experimental Hematology and Transfusion
Medicine, GERMANY Editor: Osman El-Maarri, University of Bonn, Institut
of Experimental Hematology and Transfusion
Medicine, GERMANY
Received: August 18, 2015
Accepted: November 10, 2015
Published: December 18, 2015
Copyright: © 2015 Mullapudi et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any
medium, provided the original author and source are
credited. Copyright: © 2015 Mullapudi et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any
medium, provided the original author and source are
credited. Data Availability Statement: Relevant data can be
found on the GEO repository-GSE315520, GSE
31552. PTPN13, DACH1, SMAD6, LAMA3, AR]. Introduction Lung cancer is responsible for the highest number of cancer-related deaths in the United States
[1]. Cancer is characterized by genome-wide changes in CpG methylation, including a general-
ized genome-wide hypomethylation (loss of methylation) including at oncogenes, and recipro-
cal hypermethylation at particular loci (increased methylation), including tumor suppressor
gene promoters [2,3]. Recent studies have shown that the functional consequence of 5-methyl-
ation of cytosine is dependent on the genomic context and specific sequence in which it occurs
[4,5]. Methylation of CG residues within CG islands (CGI) in gene promoters is associated
with gene silencing. However, methylation of CGI within gene bodies is found to be associated
with tissue-specific expression and gene activation in cancer genomes [6–8]. Panels of well-known candidate tumor suppressor genes have been examined in clinical
lung cancer specimens to characterize promoter-methylation [9,10], yielding concise methyla-
tion signatures [11] as well as to distinguish the different histological sub-types [12]. Methyla-
tion changes occur early during the development of lung cancer [13] and thus can be used as
predictive markers to detect potential malignancies [14,15]. Thus, the identification of discrim-
inatory methylation marks can be further developed into diagnostic assays to aid in risk assess-
ment and diagnostics. DNA methylation can be measured by targeted methods such as bisulfite sequencing
(tBGS) [16], methylation-specific PCR (MSP) [17], and mass spectrometry-based methods
(Epityper1) [18]. Each platform assays locus-specific methylation at higher resolution,
wherein a defined panel of genes can be assessed for the methylation status of a select number
of CpG residues within them. However these methods depend on prior knowledge of specific
epigenomic loci to design the assay. Among discovery methods to detect methylation patterns at a genome-wide scale, one
approach is to employ methylation-sensitive and resistant isoschizmer restriction enzymes (HELP,
RLM, others). Other approaches include chromatin immunoprecipitation with methylated DNA-
binding antibodies (MBD, MeDIP, others), or bisulfite sequencing of a reduced component of the
genome (RRBGS, others) [19]. Each of these methods has its own biases and by necessity of scale,
samples only a small subset of the human methylome. Whole genome bisulfite sequencing [20] is
designed to densely query the entire methylome at single base-specific resolution. However cur-
rently this method is too costly and analytically intensive to perform on large sample sizes. Recent studies have assessed genome-wide methylation in lung cancer to discover tumor
specific methylation signatures of cancer genomes [13,21,22]. Abstract The unique findings from this study include the dis-
covery of numerous candidate The unique findings from this study include the discovery of
numerous candidate methylation sites in both PR and GB regions not previously identified in
NSCLC, and many non-canonical relationships to gene expression. These DNA methylation
features could potentially be developed as risk or diagnostic biomarkers, or as candidate tar-
gets for newer methylation locus-targeted preventive or therapeutic agents. Funding: This work was supported by NCI 1RC1
CA145422-01 (SDS); 1K24-CA139054-01 (SDS);
Stony-Wold Herbert Foundation (NM); 1R01-
CA180126-01 (SDS Co-PI); P30 CA013330 (Albert
Einstein Cancer Center core grant). Competing Interests: The authors have declared
that no competing interests exist. 1 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Genome-wide survey of differentially methylated loci in lung tumor
versus non-tumor Among 24 NSCLC lung resection donors (S1 Table), using the HELP-microarray assay we
identified 452,754 HpaII fragments significantly differentially methylated (DM; p<0.05, FDR-
adjusted) in tumor versus adjacent non-tumor (Table 1). Of these DM sites, 57% were found in
coding regions (comprising 38% of those CCGG sites represented on the array). (Fig 1)
Another 39% of these were found in intergenic regions (48% of those sites represented on the
array) and were mostly hypomethylated in tumors. Approximately 7% were found in promoter
regions (26% of those sites on the array). Gene promoters (PR) and gene bodies (GB) showed
both hyper- and hypo-methylation. (Table 1). Promoter hypomethylation exceeded hyper-
methylation in number (Table 1). Based on a permutation test conducted using random sam-
pling within compartments (PR/GB/IG) we found that DM loci are significantly over-
represented in gene body regions (p< 2.2e-16). The magnitude of differential methylation (delta) varied by compartment and direction of
change. Moderate/large degrees of DM hypermethylation in PR and GB (delta>1; PR = 74%,
GB = 63%) were more common than small degrees (1<delta<0.5; PR = 24%, GB = 33%) of
hypermethylation changes in these compartments (Fig 2). The magnitude of moderate/large
hypermethylation changes were distinct from that of hypomethylation changes, where the
moderate/large distribution by genomic region was PR = 12%, GB = 14%, IG = 17%. Within
tumor promoters, CG islands (CGI) and CG shores (CGS) were more often hypermethylated
than hypomethylated (Fig 2B). Overall distribution of DM loci varied by PR genomic location
(CGI, CGS, other) among all NSCLC histologies (ChiSquare p = 2.2E-16) and among adeno-
carcinoma-only (ChiSquare1.9E-4). There was substantial DM outside of CGI and CGS. Individual cancer genes identified by differential methylation The top 25 differentially methylated loci within promoter regions and gene bodies are listed
(S2 Table). In brief, for all histologies combined DM was observed in many promoters (S2A
Table) [hypermethylation in C7orf54, DARS, SPTAN1, DOM3Z, PCNX, CTNNAL1, others;
hypomethylation in NQO1, SIRP1B, UNC5CL, NFIA, CST1, others] and in gene bodies [hyper-
methylation in NOL10, ARHGEF12, UST, RGS3, MBNL2, others; hypomethylation FBXL7,
RYR2, NTRK3, ADAMTS12, PARK2, others]. For adenocarcinoma specifically, DM was
observed in promoters [hypermethylated RASL12; SPTAN1, mir-26a, hypomethylated NQO1,
SIRPB1, NF1A] and gene bodies [hypermethylated AKAP13, ANK family, PRKCE, ROS1; hypo-
methylated FAM171A1, PARK2, BCAS3, RHOJ] and many others. Introduction Selamat et al [23] used the Illu-
mina Infinium HumanMethylation27k platform to characterize genome-wide methylation of
~27,000 CpG sites in 59 matched T/NT lung adenocarcinoma samples, and coupled that to
transcriptome arrays. Comprehensive molecular profiling of 230 patients (Adenocarcinoma)
and 178 patients (Squamous Cell Carcinomas) by TCGA [24,25] made use of an expanded ver-
sion of the same platform, HM450k, which interrogates more than 480,000 CpG sites, across
CpG islands and shores in the human genome. We hypothesized that an unbiased genome-wide tumor vs non-tumor search for differen-
tially methylated loci will lead to the identification of novel and known loci deregulated in lung
cancer. Additionally, investigating the same specimens for differential gene expression would
allow identification of higher impact DM loci, by virtue of potential impact on expression. To
test these hypotheses, we used the HELP assay [26] to assay the CpG methylation of 24 pairs of
tumor (T) and adjacent non-tumor (NT) human samples. This assay queries 1.2 million
CCGG motif-defined fragments across the genome by restriction enzymes HpaII (methylation
sensitive) and MspI (methylation resistant) to isolate differentially methylated fragments of the
genome. These fragments are then adapter-ligated and amplified and labeled, following which 2 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer they are co-hybridized to a high density microarray. Methylation is detected at ends of
enzyme-generated fragments (CCGG sites) and measured as a ratio of MspI-generated frag-
ments to HpaII-generated fragments. Reasoning that methylation-deregulated genes might be
more apparent if cognate/proximate gene expression is altered, we further examined the associ-
ation of differentially methylated (DM) regions with differentially expressed (DE) genes, using
mRNA expression data from the same paired T and NT surgical resection samples. Methylome Alterations in Lung Cancer es. 452754 loci are significantly differentially methylated (DM) between T and NT based on an FDR < 0.05. Major-
vs NT Table 1. Genomic distribution of DM sites. 452754 loci are significantly differentially methylated (DM) between T and NT based on an FDR < 0.05. Major-
ity of the DM loci are hypomethylated in T vs NT. Genomic
compartment
# loci on
array
Differentially methylated loci FDR p< 0.05 (% of loci
represented)
Hypomethylated in
tumors
Hypermethylated in
tumors
Promoters
151568
32037 (26%)
68%
31%
Gene Body regions
551628
248721 (38%)
74%
25%
Intergenic regions
540473
171996 (48%)
93%
6%
doi:10 1371/journal pone 0143826 t001 Several loci within the same gene show DM, resulting in the recurrence of gene names in the
heat maps. Those multiple loci within a gene (e.g. PR: TMEM88, GIMAP6, RUSC2, others; GB:
CDH13, CACNA203, NOMO3, others) tended to be concordant, albeit imperfectly, with the
direction of DM (hyper- vs hypomethylation). CpG methylation validation The methylation states of three representative DM CCGG loci chosen on the basis of DM magni-
tude (one in the promoter of DARS and two in the promoter of RGS3) were quantitatively deter-
mined by the high resolution Sequenom MassARRAY1 method, and compared with the results
from the HELP microarray-based assay using Spearman rank order correlation software [27]. The correlation (rho) was 0.72 (p = 0.0006), indicating that the results of HELP assay significantly
correlated with the reference results of the Sequenom MassARRAY1 reference assay (S1 Fig) Heat maps of top 50 most differentially methylated loci within the subset
of adenocarcinomas (Fig 3A and 3B) The top 50 most DM loci (FDR adjusted p<0.05, ranked by magnitude of delta), reflect separa-
tion of T and NT in most of the paired samples, except in the samples 603T, 653T and 542T. 3 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Identification of discriminatory classifiers The average accuracy for top 100 or top 25 DM loci tumor versus non-tumor classification
models, all NSCLC histologies in aggregate, was 87% and 90% respectively. On the Fig 1. The genome compartment represented on the HELP Nimblegen microarray and statistically
significant DM loci. (A) Approximately 91% of the 1.2 million loci represented on the HELP microarray are
located in gene body (GB) and intergenic (IG) regions, with a small minority (9%) of the loci located within
promoters (PR). (B) Statistical significance (Y-axis) vs. delta (X-axis) (magnitude) of DM. Delta (X-axis)
indicates the difference in methylation between tumor (T) vs non-tumor (NT) at a given locus. Loci
hypermethylated in T relative to NT have delta < 0. P-value (Y-axis) is calculated based on Benjamini
Hochberg adjusted FDR. At FDR p < 0.05, 433,505 loci across all genomic compartments are found to be
differentially methylated in T vs NT. Red dots indicate statistically significant DM loci. doi:10.1371/journal.pone.0143826.g001 Fig 1. The genome compartment represented on the HELP Nimblegen microarray and statistically
significant DM loci. (A) Approximately 91% of the 1.2 million loci represented on the HELP microarray are
located in gene body (GB) and intergenic (IG) regions, with a small minority (9%) of the loci located within
promoters (PR). (B) Statistical significance (Y-axis) vs. delta (X-axis) (magnitude) of DM. Delta (X-axis)
indicates the difference in methylation between tumor (T) vs non-tumor (NT) at a given locus. Loci
hypermethylated in T relative to NT have delta < 0. P-value (Y-axis) is calculated based on Benjamini
Hochberg adjusted FDR. At FDR p < 0.05, 433,505 loci across all genomic compartments are found to be
differentially methylated in T vs NT. Red dots indicate statistically significant DM loci. doi:10.1371/journal.pone.0143826.g001 4 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer Fig 2. Magnitude and Direction of differential methylation and its distribution across genomic
compartments. (A) All NSCLC histologies DM was classified as negligible, small or moderate based on the
absolute value. (1< abs delta <2 is Moderate/Large; 1< abs delta <0.5 is Small; 0.5< abs delta <0 is
Negligible). DM loci with FDR p<0.05 based on paired T-test were considered for this analysis. Majority of
hypermethylation in tumors is observed to be of moderate/large magnitude in promoters and gene bodies,
while in the intergenic regions, small changes are most frequent. Identification of discriminatory classifiers The majority of hypomethylation is observed
to be of small magnitude in all the three compartments. A significant fraction of hypomethylation changes are
of negligible magnitude yet statistically significant. (B) Direction of DM and the distribution within promoters
categorized based on location within CG-islands and CG-shores. Within the category of DM promoter loci,
hypermethylation is more frequent in tumors as compared to hypomethylation for those loci within CG-islands
and CG-shores. Overall DM differences do vary by PR genomic location (CGI, CGS, other); all NSCLC
histologies were ChiSquare p = 2.2E-16; adenocarcinoma-only histology ChiSquare p = 1.9E-4. doi:10.1371/journal.pone.0143826.g002 adenocarcinoma data subset, the average accuracy for top 100 and top 25 DM loci was 80%
and 79% respectivelyIn general, the classification models tend to be more specific than sensi-
tive. (S7 Table). Two loci (LOXL4 and LINC00841) were repeatedly selected within the top DM
loci during the classification process. Identification of discriminatory classifiers The majority of hypomethylation is observed
to be of small magnitude in all the three compartments. A significant fraction of hypomethylation changes are
of negligible magnitude yet statistically significant. (B) Direction of DM and the distribution within promoters
categorized based on location within CG-islands and CG-shores. Within the category of DM promoter loci,
hypermethylation is more frequent in tumors as compared to hypomethylation for those loci within CG-islands
and CG-shores. Overall DM differences do vary by PR genomic location (CGI, CGS, other); all NSCLC
histologies were ChiSquare p = 2.2E-16; adenocarcinoma-only histology ChiSquare p = 1.9E-4. d i 10 1371/j
l
0143826 002 Fig 2. Magnitude and Direction of differential methylation and its distribution across genomic Fig 2. Magnitude and Direction of differential methylation and its distribution across genomic
compartments. (A) All NSCLC histologies DM was classified as negligible, small or moderate based on the
absolute value. (1< abs delta <2 is Moderate/Large; 1< abs delta <0.5 is Small; 0.5< abs delta <0 is
Negligible). DM loci with FDR p<0.05 based on paired T-test were considered for this analysis. Majority of
hypermethylation in tumors is observed to be of moderate/large magnitude in promoters and gene bodies,
while in the intergenic regions, small changes are most frequent. The majority of hypomethylation is observed
to be of small magnitude in all the three compartments. A significant fraction of hypomethylation changes are
of negligible magnitude yet statistically significant. (B) Direction of DM and the distribution within promoters
categorized based on location within CG-islands and CG-shores. Within the category of DM promoter loci,
hypermethylation is more frequent in tumors as compared to hypomethylation for those loci within CG-islands
and CG-shores. Overall DM differences do vary by PR genomic location (CGI, CGS, other); all NSCLC
histologies were ChiSquare p = 2.2E-16; adenocarcinoma-only histology ChiSquare p = 1.9E-4. Fig 2. Magnitude and Direction of differential methylation and its distribution across genomic
compartments. (A) All NSCLC histologies DM was classified as negligible, small or moderate based on the
absolute value. (1< abs delta <2 is Moderate/Large; 1< abs delta <0.5 is Small; 0.5< abs delta <0 is
Negligible). DM loci with FDR p<0.05 based on paired T-test were considered for this analysis. Majority of
hypermethylation in tumors is observed to be of moderate/large magnitude in promoters and gene bodies,
while in the intergenic regions, small changes are most frequent. PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylation x Expression Merge DNA loci were integrated with previously generated mRNA transcriptome microarray data
among the 21 T-NT pairs where both datasets were available. (S2 Fig). This analysis yielded
n = 433,666 DM loci in all compartments (Table 2). For example, pooling all histologies, we
identified n = 75 loci that showed hypermethylation in PR regions and concurrent down-regu-
lation of mRNA expression by microarray. There were n = 219 loci within GB regions that
showed concurrent hypermethylation and up-regulation of expression. The promoter-specific subcompartment distribution (CGI, CGS, other) of canonical
DMxGE relationships (e.g. promoter hypermethylation: gene down-regulation) versus non-
canonical relationships (e.g. promoter hypermethylation: gene up-regulation) is displayed in
Fig 4. Overall, within PR regions, CGI patterns tended to follow canonical DM:GE patterns
(first bar of each of the leftmost two bargraph triplets within a panel) somewhat less frequently
than the other promoter compartments. Notable is that non-canonical DM:DE relationships
were approximately equal in overall frequency to canonical relationships, as assessed by this
analysis. For all 21 pairs (all NSCLC histologies, Fig 4A), overall distribution of DMxDE 5 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer Fig 3. Heat Map of the Top 50 DM Loci within Adenocarcinomas. (A) Promoter regions; and (B) Gene body regions. Several genes show differential
methylation (DM) at more than one locus and appear multiple times in the heatmap. Blue = Non Tumor, Red = Tumor. nomas (A) Promoter regions; and (B) Gene body regions Several genes show differential ( ) Fig 3. Heat Map of the Top 50 DM Loci within Adenocarcinomas. (A) Promoter regions; and (B) Gene body regions. Several genes show differential
methylation (DM) at more than one locus and appear multiple times in the heatmap. Blue = Non Tumor, Red = Tumor. Fig 3. Heat Map of the Top 50 DM Loci within Adenocarcinomas. (A) Promoter regions; and (B) Gene body regions. Several genes show differential
methylation (DM) at more than one locus and appear multiple times in the heatmap. Blue = Non Tumor, Red = Tumor. doi:10.1371/journal.pone.0143826.g003 differences do vary by PR genomic location (CGI, CGS, other), ChiSquare p = 3.32E-4. Simi-
larly, within the set of adenocarcinomas (Fig 4B), overall DMxDE differences do vary by PR
genomic location (CGI, CGS, other), ChiSquare p = 1.10E-7. The majority of PR DM loci are
associated with hypermethylation when the DM loci are within CG islands. Methylation x Expression Merge This effect is Table 2. Merge of Differential Methylation and Differential Expression (All Histologies– 21 pairs). All
Histologies (21 pairs). Assay
Total # loci
FDR p < 0.05
HELP
1135549
433666
Gene Expression
18208
7957
Regions
Correlation
# of loci
Promoter
Hypermethylated and Downregulated
75
Hypomethylated and Upregulated
38
other
3113
Genebody
Hypermethylated and Upregulated
219
Hypomethylated and Downregulated
3753
Other
71542
Total
78740
doi:10.1371/journal.pone.0143826.t002 Table 2. Merge of Differential Methylation and Differential Expression (All Histologies– 21 pairs). All
Histologies (21 pairs). 6 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer Fig 4. Methylation vs Expression in Promoter regions. Analysis of DM loci within promoter regions and
their overlap with differential gene expression. (Left panel A) All 21 pairs (all NSCLC histologies), overall
differences do vary by PR genomic location (CGI, CGS, other), ChiSquare p = 3.32E-4. (Right panel B) Within
the set of adenocarcinomas overall differences do vary by PR genomic location (CGI, CGS, other),
ChiSquare p = 1.10E-7. Majority of DM promoter loci are associated with hypermethylation when the DM loci
are within CG islands. This effect is more pronounced among adenocarcinomas, where the DM loci in CG
islands are mostly associated with downregulation of the gene. KEY: “M” = methylation, “E” = expression. Upward arrow indicates increase and downward arrow indicates decrease. doi:10.1371/journal.pone.0143826.g004 Fig 4. Methylation vs Expression in Promoter regions. Analysis of DM loci within promoter regions and
their overlap with differential gene expression. (Left panel A) All 21 pairs (all NSCLC histologies), overall
differences do vary by PR genomic location (CGI, CGS, other), ChiSquare p = 3.32E-4. (Right panel B) Within
the set of adenocarcinomas overall differences do vary by PR genomic location (CGI, CGS, other),
ChiSquare p = 1.10E-7. Majority of DM promoter loci are associated with hypermethylation when the DM loci
are within CG islands. This effect is more pronounced among adenocarcinomas, where the DM loci in CG
islands are mostly associated with downregulation of the gene. KEY: “M” = methylation, “E” = expression. Upward arrow indicates increase and downward arrow indicates decrease. doi:10.1371/journal.pone.0143826.g004 doi:10.1371/journal.pone.0143826.g004 notable among the adenocarcinomas subset as well, where the DM hypermethylated loci in CG
islands are mostly associated with downregulation of the gene. Methylation x Expression Merge The number of loci obtained from expression-methylation overlay is displayed in 3D coor-
dinates in panel A (S3 Fig). Genomic coordinates were also displayed by circos plots; an exam-
ple of chromosome 3 is displayed in panel B (S3 Fig). These panels denote the overall patterns
of gene body and promoter methylation and accompanying gene expression changes. The
overlap between DM and GE for GB was more frequent than PR (in part due to relative over-
representation of the GB versus PR regions on the HELP microarray (Table 1). The canonical
pattern most often seen in GB was hypomethylation and down-regulation (S3 Fig). overlap between DM and GE for GB was more frequent than PR (in part due to relative over-
representation of the GB versus PR regions on the HELP microarray (Table 1). The canonical
pattern most often seen in GB was hypomethylation and down-regulation (S3 Fig). Examples of the quantitative relationship of DM to GE in promoters and gene bodies are
displayed in selected scatter plots (S4 Fig). Most genes that were qualitatively canonical for the
DM⬄GE relationship showed an ambiguous quantitative relationship (not displayed); those
genes that are selected for display do exemplify a canonical relationship. The top eight differentially expressed (DE) genes associated with promoter DM loci (S3
Table: FILIP, HBEF, TMEM88, VWR, CASP12, NQO1, CST, XAGE1D) underwent a quantita-
tive verification of microarray-based GE expression changes, using qRT-PCR scaled to
GAPDH internal housekeeper. S5 Fig displays these results, showing general concordance of
direction of GE between the two platforms (microarray and qRT-PCR; r2 = 0.9367815, p<
0.0007), albeit with a compressed dynamic range of the microarray data, as is typical in the lit-
erature [28]. Individual genes revealed by DM x GE Merge All NSCLC histologies: Overlay of DM x DE overlay (S3 Table) yielded additional genomic DM
loci with canonical expression patterns (e.g. PR hypermethylation:mRNA downregulated and
PR hypomethylation:mRNA upregulated; GB hypermethylated:mRNA upregulated and 7 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer hypomethylated:mRNA downregulated) [PR n = 113; GB n = 3972] (Table 2). Notable hyper-
methylated PR loci with reciprocal decreased expression GE were HBEGF, DPT, AGER,
SPARCL1, PTPRM, ARHGEF6, TMEM88, SEMA6A. Those PR hypomethylated loci with
increased GE were NQO1, CST1, TNS4, FUT2, MELK, FAM83A, MMP9, and SLCO1B3. Those
GB loci with concordant methylation and expression included: hypermethylated/increased GE:
FERMT1, SLC7A5, FAP, KRT15, ETV4, TFAP2a TPX2, FOXM1; hypomethylated/decreased
GE: AGBL1, RHOJ, LDB2, GHR, ITGA8, ABCB1, SEMA5A, GPM6A. Within the category of adenocarcinomas alone, we merged the results of DM with DE, and
discovered several loci with differential methylation in promoters or gene bodies and cognate
gene expression changes. Hypermethylated PR loci with GE downregulation include
RPL23AP32, CTNNAL1, HBEGF, TMEM88 and CASP12. Loci showing PR hypomethylation
and upregulation include NQO1, CST1, XAGE1D, IGKC and AIM2. GB loci showing hyper-
methylation and upregulation include FAP, NLN, TPX2, and KIF26B and others. GB loci show-
ing hypomethylation and downregulation include AGBL1, RHOJ, LDB2, GHR, ITGA8 and
others (S3 Table) Methylation-Expression relationship in CG-islands and CG-shores We queried the association between DM and DE for DM loci located within promoter CG
islands (CGI) and CG shores (CGS; defined as 2 kb upstream of a CG island; Fig 4; S5 Table). We observed only a small percentage of loci (3–11%) that exhibited DM within CGI or CGS
associated with the expected change in gene-expression of the nearest gene. These include
genes such as TMEM88, S1P1R, FZD4, GIPC2, DNAJB4, ADAMTS1 (hypermethylated in CGI
and CGS and downregulated) and BUB1 (hypomethylated and upregulated). PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Current vs Former smokers The sample set of 24 subjects consisted of 11 former smokers and 10 current smokers. We
investigated the presence of differentially methylated loci based on smoking status. At adjusted
p<0.05 level, no loci were found to be DM between current and former smokers. Methylome Alterations in Lung Cancer significant tumor suppressor gene, known to be mutated or deleted in different cancers. ZEB1,
GB hypomethylated, is also highlighted as a central node in this cancer-related network. It
encodes a zinc finger transcription factor (also known as TCF8) which is known to be an
inducer of epithelial-mesenchymal transition in NSCLC [29]. Within the category of adenocarcinomas specifically (16 pairs S6B Fig shows the cancer-
related gene network identified from the most significant (adjusted p<0.05) DM loci (within
GB). A central hub of this network is the gene AR (androgen receptor) which is found to be GB
hypomethylated in tumors. AR is a transcription factor activated by the steroid hormone
androgen. It plays an important role in cell-growth, proliferation, cell-death and invasion. Because of an apparent centrality in this particular DM network, we further explored the DM
methylation pattern of AR as it relates to gender. We observed that the two relevant DM frag-
ments (within GB) were notable for hypermethylation in GB in males compared to females in
NT tissue uniquely (t-test FDR, fragment 1 = 0.041, fragment 2 = 3.76E-5). Supervillin (SVIL),
is also a gene at a hub of this network (S6B Fig), and is GB hypomethylated in tumors. SVIL is
a peripheral membrane protein that regulates cell motility, spreading and is known to enhance
cell survival by interacting with the tumour suppressor gene p53 and its downstream targets
[30]. Adenocarcinoma-specific promoter DM x DE overlay did highlight familiar (SMAD6, tP53,
CTNNB1, NQO1) as well as unfamiliar lung cancer IPA nodes (S6C Fig). The cancer-related
network derived from this analysis consisted of a single hypomethylated gene promoter
(NQO1) at the node of a cluster interacting with TP53, HSP70 and NPM1. Several hypermethy-
lated gene promoters including HBEGF, SMAD6, PTPN13, CDH5 and SFTPC were found at
the periphery of the network. This network is comprised of several genes that are not identified
as DM from our study, but do form a part of the network by virtue of their previously pub-
lished interactions with other DM loci, as depicted in open/white shapes. PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Pathway analyses A tabular summary of IPA analyses is offered in S6 Table. All DM loci (Bejamini-Hochberg adj
p < 0.05) corresponding to eight categories (based on genomic compartment, histology and
with/without gene expression merge) were separately analyzed using IPA, to identify gene net-
works enriched within the sets of DM loci. In all the eight cases, “Cancer” was the top disease
associated with the input data set, although the constituent genes were different. Canonical
pathways from Ingenuity’s knowledge base that were found to be enriched within the gene sets
with adj. p < 0.05 are reported. Three of the networks (All NSCLC histologies, DM only, GB;
Adenocarcinomas DM only, GB; and Adenocarcinomas DM+DE both, PR) among the eight
categories were found to have a statistically significant association with a canonical pathway
with adj. p < 0.05, and are further outlined below. IPA Cancer-related Networks depictions. Networks analysis of those significant net-
works tabulated in S6 Table are summarized in S6 Fig. The displays show that several genes
that play an important role in cancer-related pathways are differentially methylated in T rela-
tive to NT in various categories, and highlights some genes that are not known to do so. For
example, pooling all NSCLC histologies, S6A Fig shows the cancer-related network derived
from IPA of all DM loci (adj. p<0.05) within GB across all the 24 T/NT pairs. Genes such as
EZH2, CDH1, CDKN2A and DNMT3A/3B are found at central points in this network. EZH2
(hypomethylated) is a member of the Polycomb-group family and plays an important role in
cell proliferation, growth, cell cycle progression, transcriptional repression and invasion. DNMT3A/3B (hypermethylated) encodes a DNA methyl-transferase that is purported to carry
out de novo methylation and has an important role in transcriptional repressional signaling. CDH1 (hypermethylated) encodes E-Cadherin, a known surface adhesion molecule downregu-
lated in cancers. CDKN2A (hypermethylated) is an inhibitor of CDK4 kinase and is a 8 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer in multiple samples. The regions of the genome assayed by the HELP assay are dependent
upon the occurrences of CCGG sites within the genome, and not by any prior functional or
compartment-wise classification of the loci. The HELP assay is less promoter biased (GB and
IG regions are represented 3.5x times promoter regions), thereby allowing for the discovery of
novel events associated with methylation in other genomic regions in tumor samples [36]. However, the HELP assay misses non-CCGG embedded CpG sites as well as those CCGGs
that would define a size range outside the target fragment size range (200-2000bp). HELP
(unlike Infinium HM arrays) is not focused on detecting contiguous CpGs of pre-defined gene
promoters. While the magnitude of the overall DM differences between tumors and nontumor
lung tissue at a given locus tended to be small (generally < 2-fold), reassuring is that the valida-
tion of pre-selected DM loci compared favorably with the quantitative reference technique
(Sequenom MassARRAY1). Upon examining the gene lists of top DM loci discovered from among other published
genome-wide studies in lung cancer to those reported in our study, we found that, as expected,
the degree of overlap between our studies and others is modest, possibly indicative of the differ-
ences in the HELP platform (which detects fragments bounded by individual CpG sites, but
not additional fragment-internal CpG sites), and the target regions queried (which in HELP
are equally distributed among PR, GB, and IG regions of the genome. Additionally, we note
that the extent of overlap across studies that used the same microarray-based methylation(for
e.g. Infinium array) ([23,24,35] was also not large. This could stem from various subject and
sample heterogeneity factors, and criteria used to rank DM loci. For example, Sandoval et al
[35] identified a HOXA7 region amongst the top most variable CpG promoters, whereas the
same locus is not reported in the TCGA study [24] that utilizes the same platform. On the
other hand, both these studies report differential methylation of the HOXA9 locus. Both of
these loci do not figure in the lists of top DM loci from our study. Overall findings from this study include that: there are many individual DM loci/genes, par-
ticularly in gene bodies (S2 and S3 Tables); there are many non-canonical DMxDE relation-
ships; and genelists and network relationships include both previously recognized and myriad
previously unrecognized loci. PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Discussion We report a methylome comparison survey for a set of NSCLC tumors versus the paired non-
tumor tissue in surgical resection samples in order to identify genome-wide methylation signa-
tures in lung cancer, and filter them for those germane to gene expression alterations from the
same samples. The goal is informing diagnostic biomarker work already underway in the labo-
ratory, [31] and target identification for future development in diagnostic and preventive/ther-
apeutic trials [32,33]. Using the HELP assay, we were able to query 1.2 million discontinuous CCGG loci (~1% of
the methylome) in a manner representative of all three genomic (PR, GB, IG) regions. Using
an FDR adjusted p<0.05 as the cutoff, 452,754 loci across all regions and histologies show sta-
tistically significant differential methylation in tumors. The distribution of these DM sites was
notably more concentrated in gene bodies than in promoter regions, even considering regional
representation variations on the detector microarray, as supported by a permutation test. Studies thus far have typically focused on promoter methylation in lung cancer, utilizing
promoter-focused custom microarrays [10,15,34] or bead arrays [23,35] and thus often query
only for pre-selected genomic regions and loci. This is one of the few studies to date that more
agnostically examines genome-wide methylation across all regions of the lung cancer genome 9 / 21 Methylome Alterations in Lung Cancer detected genes with those in the recent literature was apparent in promoters with prior genome
surveys [PR: SLC27A6, SIRPB1; GB: CNTNAP5, CDH13]. However, many “hits” in this study
with no readily apparent representation in the lung cancer methylome-related literature were
found, [e.g., PR: DARS, CLDN18, APIP; GB: ARHGEF12 PRKCE], and are likely worthy of pur-
suit. The potential relevance of some of the unique DM genes identified here is described in
Table 4i [41–46]. As for the general magnitude of DM in tumors, we observed that hypermethylation changes
were generally higher in magnitude across all genomic compartments (PR, GB, IG), predomi-
nantly greater than 50% increased, as compared to the magnitude of hypomethylation changes
That is, hypermethylation in tumors was predominantly between 1.5–2-fold, albeit notably
more common within CGI regions than was hypomethylation. Given that our study employed homogenized, non-microdissected tissue samples by neces-
sity of the platforms available at study commencement, the mixed cell populations could
obscure changes in individual cell types from being identified. Also, the now-appreciated rele-
vance of more local effects of higher resolution patterns of CpG methylation [4,16] within each
CCGG-defined fragment could not be assessed with this HELP platform, such that weak or
even powerful effects from smaller fragments or motif fine details could not be ascertained at
this resolution, and requires high resolution sequencing based follow-up, examples of which
are displayed in this report. Notable is that DNA methylation, despite some inter-locus concor-
dance observed here (e.g. CDH13, others), is not “linked” to anywhere near the degree of link-
age disequilibrium of native germline nucleotide sequence itself, so that inferences of DNA
methylation status at even modest (1kb) distances carry much uncertainty [4]. To further characterize the functional effects of PR and GB methylation, we then analyzed
differential mRNA expression data generated from the same donated lung resection specimen
and examined the overlay with differentially methylated loci. The idea was to use gene expres-
sion as a filter for DM changes, to ascertain those DM sites more likely to have functional con-
sequence. We used a simple approach to cross-platform integromics. Using a t-test
comparison, after correcting for false discovery rate, we identified among 37,056 DM sites of
which only 3,216 were canonically related (DM loci within a 2 kb vicinity of a qualitatively dif-
ferentially expressed gene, in the expected direction). PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 As previously recognized, the genome is overall more hypo-
methylated, but also displays promoter hypermethylation in cancer versus paired non-cancer
tissues, as was true from early genome-wide studies of differential methylation in lung cancer
[2,21–23]. However, many features clearly differ; for example, we observed no significant over-
lap with CIMP—based classifications [24,25,37], this was possibly due to the difference in the
assays used to determine DM (ours more comprehensive, and included many GB abd IG
regions), as well as the limited sample size, and therefore power, of this study. We uniquely report here the list of genes showing gene-body (GB) methylation alterations
in a group of NSCLCs. This finding is of interest as gene body methylation is an understudied
phenomenon and the biological effect is not fully understood; gene expression effects from pro-
moter methylation alterations are much better understood [3–5,38]. We also found genome-
wide hypomethylation in NSCLC tumors is especially pronounced in the intergenic regions,
not previously well explored, and representing the largest proportion of the genome overall. Differential methylation may have functional impact based largely on sequence and struc-
tural chromatin context. That is, while cytosine 5-methylation may silence genes or activate
genes, depending on precise position and pattern in the promoter, in intergenic and intronic
regions, it may have as much to do with gene splicing and effects at a distance, as with expres-
sion of the most proximate, neighboring genes [39,40]. The lists of DM loci in promoters (PR) and gene bodies (GB) revealed many sites that were
different from the typical list of methylation silenced “players” in NSCLC, derived from assays
that are often a priori selected, candidate-gene focused. Clearly, overlap of some of these DM- 10 / 21 Methylome Alterations in Lung Cancer Table 3. Merge of Differential Methylation and Differential Expression (Adenocarcinomas only). Assay
Total # Loci
FDR p < 0.05
HELP
1135549
225350
Gene Expression
18208
6378
Regions
Correlation
# of loci
Promoter
Hypermethylated and Downregulated
64
Hypomethylated and Upregulated
16
other
1239
Genebody
Hypermethylated and Upregulated
138
Hypomethylated and Downregulated
2998
Other
32601
Total
37056
doi:10.1371/journal.pone.0143826.t003 Table 3. Merge of Differential Methylation and Differential Expression (Adenocarcinomas only). validation to verify that the DMxDE relationship does indeed exist. We undertook technical
validation of gene-expression levels of eight genes identified through the DMxDE analysis:
NQO1, CST1, XAGE1D (PR: hypomethylated and up-regulated) and FILIP1, HBEGF, validation to verify that the DMxDE relationship does indeed exist. We undertook technical
validation of gene-expression levels of eight genes identified through the DMxDE analysis:
NQO1, CST1, XAGE1D (PR: hypomethylated and up-regulated) and FILIP1, HBEGF,
TMEM88, VWR and CASP12 (PR: hypermethylated and down-regulated) and confirmed the Table 4. Relevance of some novel DM and DM+DE genes in Lung cancer. Gene
name
Function
Change identified
Ref
DARS
Aspartyl-tRNA synthetase, a member of a multienzyme complex that mediates the
attachment of amino acids to their cognate tRNAs. It is also known to function in inducing
cell proliferation in its non-canonical role
PR hypermethylated
[41]
CLDN18
Claudin 18 is an integral membrane protein identified as an early stage marker of pancreatic
cancer. Claudins are involved in the regulation of epithelial-cell barrier function and polarity. CLDN18 was previously identified as a potential therapy target in NSCLC by virtue of its
overexpression
PR hypomethylated
[42,43]
APIP
APAF1-interacting protein which functions in the methionine salvage pathway and plays a
role in apoptosis. It has been reported to be downregulated in NSCLC at the mRNA and
protein level [44](44) and the same study has also shown that other mechanisms in addition
to DNA methylation may be involved in its regulation
PR hypermethylated
[44]
PRKCE
(Protein Kinase C, epsilon) is a member of the serine-threonine protein kinase C (PKC)
family with a role in diverse cellular signaling pathways including cell adhesion, motility,
migration, cell cycle functions, cancer cell invasion and apoptosis. PRKCE overexpression
has been associated with tumor aggressiveness, malignant transformation and metastases
in a variety of cancers including mammary, prostate and lung cancer. GB hypermethylated
[45,46]
CST1
Cystatin SN) (PR hypomethylated and upregulated) is a cysteine protease inhibitor with a
role in inflammation and tumorigenesis. doi:10.1371/journal.pone.0143826.t004 The majority of these DMxDE canonical
loci were in the GB. Among adenocarcinomas, only a small fraction of these DMxDE loci
(8.7%) show the expected canonical association between methylation and gene-expression (PR
hyper/hypo-methylation: down/up-regulation, respectively, n = 100; GB hyper/hypo-methyla-
tion and up/down-regulation, respectively, n = 3136) (Table 3). This could imply that for the
vast majority of statistically significant DM loci within a 2 kb vicinity of differentially expressed
genes in tumor, the DMxDE “co-occurrence” is coincidental, with no functional implication. Or alternately, this implies that the DMxDE relationship relies instead on more high resolution
detail at single CpG site resolution, rather than estimates of overall fragment methylation [4],
as is inherent to the HELP assay. Of course, many competing non-CpG methylation inputs to
gene expression are also likely. To further characterize the functional effects of PR and GB methylation, we then analyzed
differential mRNA expression data generated from the same donated lung resection specimen
and examined the overlay with differentially methylated loci. The idea was to use gene expres-
sion as a filter for DM changes, to ascertain those DM sites more likely to have functional con-
sequence. We used a simple approach to cross-platform integromics. Using a t-test With the current dataset, the genes so discovered in this functional (DMxDE) subset, where
methylation does relate to expression, could be appropriate candidates to prioritize to further
understand the functional impact of DNA methylation on gene expression, and its role in lung
tumor biology. These merged DMxDE datasets suggest some known or previously reported/
suspected cancer genes [PR: SPARCL1, NQO1, CST1, MELK1, DPT, FAM83A, MMP9; GB:
FOXM1, TFAP2, GREM1, ITGA8, GRIA1, SLIT3] as well as many previously unreported
genes/loci. The known relevance of some of the above mentioned genes, identified through the
DMxDE screen is summarized in Table 4 [47–52]. While provocative in this ‘omics level
screen, each of these putative deregulated candidates requires technical as well as biological 11 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer qualitative (up/down) gene-expression regulation, as assessed by qRT-PCR. The magnitude of
fold-changes observed by qRT-PCR were larger than those observed by the genome-wide
microarray for most genes; that may be explained by the differences in inherent normalization
procedures for the two techniques, as well as the ability for qRT-PCR to span a larger dynamic
range of mRNA levels [28]. When examining the gene networks formed from groups of DM genes in various categories
using IPA analysis, there were several networks where both known and unknown lung cancer
genes/nodes were apparent. For example, the zinc finger transcription factor ZEB1 (TCF8) (GB
hypomethylated) was identified within the IPA network generated from GB DM loci, all
NSCLC histologies (S6A Fig). While the role of ZEB1 as an inducer of EMT (epithelial-mesen-
chymal transition) in NSCLC is well studied [53] and, its regulation by miR-200c has been
reported [54], it is yet to be determined if differential gene body methylation observed in this
study confers an additional level of gene expression regulation. If indeed GB hypomethylation
is found to be tightly associated with ZEB1 expression, it can potentially serve as a biomarker
of erlotinib resistance by virtue of its role in EMT [55]. The refined GB, DM set of genes for adenocarcinoma specifically showed enrichment for
cancer-related canonical pathways (BH adjusted p-value = 0.0152). The top network in this
subset displayed a centrality of the androgen receptor (AR), not generally implicated in lung
cancer to date. We noted that AR differed in expression across gender in the non-tumor com-
partment, but was not gender-specific in the tumor compartment. SVIL (supervilin) (GB:hypo-
methylated) is involved in actin-myosin and cell spreading, a plausible but unexpected finding
in lung cancer as well. A new network discovery pattern was also apparent for the DMxDE merged datasets, even
if the DM locus in isolation was not readily apparent in the IPA nodes. For example, examining
the refined adenocarcinoma only, PR only, DMxDE network for adenocarcinoma displayed
the known cancer-related genes [TP53, Akt, NQO1], but also myriad additional nodes
[SMARCA4, ITGB1, CTNNB1, Hsp70, AR, others], to date of unknown significance. Similarly,
DACH1 (PR hypermethylated in tumor) was one of the IPA-defined nodes identified as a chro-
matin-binding protein that associates with other transcription factors to govern gene-expres-
sion during development. PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 It was identified as a target of the Wnt signaling
pathway and reported to be overexpressed in endometroid and colorectal cancers. It has
also been reported to be overexpressed in NSCLC, and its overexpression is associated
with increased risk of recurrence, metastasis and poor survival in NSCLC patients that have
undergone surgical resection
PR hypomethylated and expression
upregulated
[47]
DPT
Dermatopontin is a matricellular protein that accelerates collagen fibrinogenesis and may
play an important role in wound healing. It is known to be downregulated in oral and
hepatocellular carcinoma (HCC). Silencing of DPT in HCC has been shown to be mediated
by DNA methylation. While DPT has been reported to downregulated in the normal bronchial
epithelium of smokers relative to non-smokers
PR hypermethylated and
expression downregulated
[48,49]
MELK
MELK is a serine threonine protein kinase is known to be upregulated in lung, colon, breast,
and ovarian cancers. It has been identified as a promising drug target and a MELK-inhibitor
molecule OTSSP167 has been developed and is currently undergoing Phase III trials
PR hypomethylated and expression
upregulated
[50,
51]
FOXM1
FOXM1 is a transcription factor that regulates the expression of cell-cycle genes. It is
regarded as a proto-oncogene and is upregulated in several cancers including NSCLC. In
NSCLC, it is required for K-Ras-mediated tumorigenesis by activating NF-κB and JNK
pathways
GB hypermethylated and
expression upregulated
[52] Table 4. Relevance of some novel DM and DM+DE genes in Lung cancer. doi:10.1371/journal.pone.0143826.t004 12 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 HELP assay We used a microarray based version of the HELP assay [26], whereby methylation sensitive
(HpaII) versus insensitive (MspI) enzyme pair digests the genome, detecting fragments con-
taining paired CCGG sites at the ends of the fragments of 200–2000 bp. To investigate relative ratios of HpaII and MspI digested products from the same sample, a
Nimbelgen whole genome high density tiling microarray was used. This array contained 2.3
million probes corresponding to 1.2 million HpaII sites throughout the human genome. For
each sample, HpaII and MspI LM-PCR libraries were labeled with Cy5 and Cy3 dyes respec-
tively and cohybridized to the Nimbelgen array. Array images generated as cel files were pre-
processed and then analyzed. We used custom R-scripts [61] to carry out data preprocessing. Array data were subject to
detailed quality control checks (QC) by generating intensity plots. Based on the intensity plots,
six pairs were discarded from further analysis due to the presence of non-uniformities and
biased intensities. QC-pass array data for 24 pairs were subsequently subjected to normaliza-
tion and computation of HpaII to MspI ratios using an R pipeline [61]. Patient recruitment and Sample collection All subjects were enrolled under, and this study was approved by, the Albert Einstein College of
Medicine IRB—protocol (#2007–407). All subjects provided fully informed written consent
approved by Albert Einstein College of Medicine IRB. This study was comprised of a total of 30
consenting individuals undergoing lung resectional surgery for clinically suspected non-small
cell carcinoma. Patient recruitment was conducted as previously described [58–60]. We sur-
veyed tumor and adjacent non-tumor tissue from the initial 30 donors drawn from our lung
cancer tissue repository. Paired tissue samples were collected in the operating room after lobar
resection and immediately snap frozen in liquid isopentane within 15 min of surgical resection;
and stored in a −180°C liquid nitrogen tissue bank until analyzed. Sections from these snap fro-
zen blocks were examined by a pathologist to confirm tumor presence and composition, to dis-
tinguish between adenocarcinomas, squamous cell carcinomas and mixed adenosquamous type. The assigned clinical surgical pathologist confirmed the diagnosis of lung cancer in all cases,
per clinical routine, and classified the samples according to the 1999 WHO histologic classifica-
tion of lung and pleural tumors, and recent updates [58]. All adenocarcinomas were invasive
adenocarcinoma, rather than adenocarcinoma in situ, or minimally invasive adenocarcinomas. Additionally, all selected cases were independently re-reviewed by two pathologists (JL, CZ),
blinded to prior histologic diagnosis, clinical, and methylome and transcriptome data. All subjects were enrolled under, and this study was approved by, the Albert Einstein College of
Medicine IRB—protocol (#2007–407). All subjects provided fully informed written consent
approved by Albert Einstein College of Medicine IRB. This study was comprised of a total of 30
consenting individuals undergoing lung resectional surgery for clinically suspected non-small
cell carcinoma. Patient recruitment was conducted as previously described [58–60]. We sur-
veyed tumor and adjacent non-tumor tissue from the initial 30 donors drawn from our lung
cancer tissue repository. Paired tissue samples were collected in the operating room after lobar
resection and immediately snap frozen in liquid isopentane within 15 min of surgical resection;
and stored in a −180°C liquid nitrogen tissue bank until analyzed. Sections from these snap fro-
zen blocks were examined by a pathologist to confirm tumor presence and composition, to dis-
tinguish between adenocarcinomas, squamous cell carcinomas and mixed adenosquamous type. Materials and Methods
(Details available in S1 File) (Details available in S1 File) Patient recruitment and Sample collection The assigned clinical surgical pathologist confirmed the diagnosis of lung cancer in all cases,
per clinical routine, and classified the samples according to the 1999 WHO histologic classifica-
tion of lung and pleural tumors, and recent updates [58]. All adenocarcinomas were invasive
adenocarcinoma, rather than adenocarcinoma in situ, or minimally invasive adenocarcinomas. Additionally, all selected cases were independently re-reviewed by two pathologists (JL, CZ),
blinded to prior histologic diagnosis, clinical, and methylome and transcriptome data. DACH1 expression has been reported to be reduced in human
NSCLC where it was determined to bind tp53 and block lung adenocarcinoma cell growth
[56]. Our study was necessarily limited in sample size to accommodate this dense two-platform
analysis within available resources, and therefore did not detect DM loci in squamous cell car-
cinomas within the statistical threshold applied (adjusted p < 0.05) to any significant degree. This was most likely due to the smaller number of squamous cell carcinoma samples (n = 6)
available to us for multiplatform analysis at the time/funding of the study. Similarly, the overall
small sample size may have precluded the robust identification of statistically significant
changes in current vs former smokers. Another possibility, however, is that tobacco smoke-
induced methylation changes are persistent, and incompletely reversed by smoking cessation,
in both tumor and non-tumor tissue alike, which is compatible with the epidemiology [57]. We were unable to evaluate EGFR/KRAS somatic mutation data for adenocarcinoma sub-
grouping, as most resections accrued before this was routine somatic mutation clinical testing,
and post-hoc subject permission was not possible to obtain for many subjects, due to interval
subject deaths, and other factors. In summary, a genome-wide query of DNA methylation in lung cancer was performed,
showing significant alterations in gene bodies as well as gene promoters and intergenic regions,
including many previously unrecognized loci. An initial integromics overlay of genome-wide
DNA methylation with gene expression data yielded many hits and coupled DMxDE nodes, 13 / 21 Methylome Alterations in Lung Cancer worthy of further validation. One can envision exploration of those potential targets that vali-
date in future observational and experimental studies, for the purposes of risk and diagnostic
biomarker development, and for targeted tumor modulation and/or prevention. worthy of further validation. One can envision exploration of those potential targets that vali-
date in future observational and experimental studies, for the purposes of risk and diagnostic
biomarker development, and for targeted tumor modulation and/or prevention. Pathway Analysis To determine pathways and networks associated with DM loci, we conducted Ingenuity IPA1
analysis. All DM loci (FDR adjusted p< 0.05) as well as DM loci within the vicinity of DE
genes were subject to analysis. Fishers t-test was used to assign statistical significance of the
association of a given pathway with the set of DM loci. We used multiple-hypothesis corrected
p-values to assign significance to the canonical pathways discovered associated with each cate-
gory of DM loci. Methylome Alterations in Lung Cancer Significance of distribution of DM loci within the various genomic compartments (PR/GB/
IG) was tested: 433505 loci (same as the number of statistically DM loci (FDR p<0.05)) were
first picked at random. 1000 such iterations were performed to assess compartment-wise distri-
bution of DM loci. These distributions were compared to the actual distribution of DM loci
observed to determine the statistical significance of over-representation of DM loci within GB
regions. Identification of discriminatory of classifiers The complete (all NSCLC histologies) data set, as well as the set of adenocarcinomas alone,
were split (2/3 and 1/3) into training and test data sets respectively. The top 25 or 100 DM loci
were selected from within the training sets, and the process was repeated iteratively 10 times. The success of these DM loci to separate T and NT samples within the test data set was
evaluated. Technical validation Statistically significant DM loci were ranked based on the proximity of a locus to other loci
showing the same direction of change in methylation, as well as belonging to the same genomic
compartment (PR, GB, IG). This strategy helps assess loco-regional methylation consistency
across adjacent CCGG-defined fragments. Top ranking promoter loci thus identified (DARS,
RGS3) were further evaluated for validation by Sequenom MassARRAY EpiTYPER1 [18]. Methylation-Expression Correlation Paired patient samples were processed with HELP assay or expressionmicroarray using Affy-
metrix HuGene 1.0 st chips. HELP assay’s p values were adjusted for multiple testing using
FDR method with R package multi-test function p.adjust (method = “fdr”). Significance was
defined by FDR adjusted p value < 0.05 for both HELP loci selection and microarray gene
selection. We performed paired t tests of tumor vs non-tumor samples for HELP assay and expression
microarray data separately. Significant HELP loci were correlated with significantly expressed
genes by genome location, if methylation loci were located within 2kb upstream of gene tran-
scription starting site, the loci were classified as in promoter region; if loci located within 2 kb
downstream of gene transcription starting and upstream/downstream of ending sites, the loci
were classified as in gene body region. For promoter-specific analyses, regions within 2 kb
upstream of annotated CG islands were classified as CG-shores. Regional validation In the initial DM-only analysis, differences in T vs NT at the fragment locus level were exam-
ined using paired t-tests and an additional test to correct for FDR was also applied [62]. Loci
were then ranked by their corresponding p-values, and top-ranked loci (FDR p-value < 0.05)
considered for subsequent analyses. 14 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Supporting Information S1 Fig. Validation of selected individual DM sites. Two index genes were used, DARS and
RGS3 gene. Left panel A) UCSC genome-browser screen shots for 3 different T/NT pairs;
DARS and RGS3 is displayed. Red indicates Tumor, and blue indicates Non-Tumor. PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 15 / 21 Methylome Alterations in Lung Cancer Methylated fragments are represented as quantitative Sequenom MassArray EpiTYPER1 mea-
surements shown in a thin vertical bar graph from 0–100% methylation. The CpG locus-spe-
cific T-NT differences are subtle. Right panel B) For RGS3 gene, a 495 bp DNA fragment
upstream of the transcription start site (Chr9:116,262,214–116,262,708) was amplified for
MassARRAY EpiTYPER1 analysis. The methylation state of one CCGG site was quantitatively
analyzed from four pairs of tumor and nontumor tissues. For DARS gene, a 308 bp DNA frag-
ment upstream the transcription start site (Chr2:136,744,845–136,745,152) was amplified for
Sequenom MassARRAY EpiTYPER analysis. The methylation state of two CCGG sites was
quantitatively analyzed from four pairs of tumor and nontumor tissues. The methylation
degree was calculated by methylated CCGG/methylated +unmethylated CCGG (Methylation
ratio by rank, Y-axis). For HELP assay, the methylation degree was indicated by delta value
from HpaII vs MspI (delta value by rank, X-axis). Spearman Rank Order Correlation software
was used for analysis. The correlation (rho) was 0.72 (p = 0.0006). (PDF) S2 Fig. Strategy for arriving at DM loci associated with DE genes (DMxDE). Statistically sig-
nificant DM loci (FDR p<0.05) within promoters and gene bodies and DE genes (FDR
p<0.05) were chosen. These DM loci were queried for position within 2 kb of a DE gene. Such
loci thus associated with FDR p<0.05 are considered to be associated with differential gene
expression, and the direction and location of DM and DE were further analyzed (Tables 2 and
3). (PDF) S3 Fig. Integration of DNA methylation (DM) and gene expression (GE) for 14 lung adeno-
carcinomas vs. paired non-tumor samples. (Left panel, A) Methylome data were overlaid on
mRNA expression data for gene promoters (left) and gene bodies (right, to demonstrate capac-
ity and feasibility. X-axis is the delta readout of the HELP assay; negative (leftward deflection)
by convention is for hypermethylated in the test sample tumor, compared to the comparison
sample (far-adjacent non-tumor alveolar tissue). Y axis represents the inverse log10 of the false
discovery rate (FDR), and z axis is log2 fold change (mRNA levels in tumor:non-tumor). Supporting Information The
color of the dots depict “coherent” patterns, where expected biological relationships are mani-
fest. For example hypermethylation in a promoter region correlates to decreased expression
(green dots), whereas hyper-methylation in a gene body correlates with increased mRNA
expression (orange). KEY: Red: gene fold change >2 & delta>0 (T hypomethylated); Green:
fold change < -2 & delta < 0 (T hypermethylated); Orange: fold change > 2 & delta < 0; Blue:
fold change < -2 & delta > 0. (Right panel B) The circos plot for chromosome 3 is an example of mapping deregulated “hot-
spots” to chromosomal coordinates, and as internal check, here highlights several well-known
tumor suppressor and other known cancer-related genes (MASP1, WNT7a, TGFBR2, GATA2). Fragments that are hypomethylated are in green (outer circle), HELP tags that are hypermethy-
lated are shown in blue (middle circle); and expression microarray genes are shown in yellow
for down-regulation, and red for up-regulation (inner circle). The longer purple lines that cut
through the chromosome marked the correlated promoter region, while the shorter brown
lines mark the gene body regions. S4 Fig. Scatter plots of select genes depicting canonical relationships between methylation
and expression. (PR: hypermethylated, downregulated or hypomethylated, upregulated; and,
GB: hypermethylated, upregulated or hypomethylated, downregulated). Only a small fraction
of genes (8%) identified from the significant DMxDE overlay analyses displayed these 16 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer S5 Fig. Validation of gene-expression changes by qRT-PCR. Verification was performed in
top representative genes that show canonical promoter patterns; PR:hypermethylation and GE
downregulation and PR:hypomethylation & GE upregulation. Among DE genes associated
with promoter DM loci (S3 Table), these eight genes were selected for qRT-PCR quantitation
of gene-expression. All fold changes are depicted for T relative to matched NT; gene-expression
values were normalized to GAPDH expression levels. Microarray fold-change values are
depicted alongside as a reference. PCR primers and conditions used are described in S4 Table. (PDF) S6 Fig. IPA network analyses. S6A Fig Top IPA network generated from DM loci within
gene bodies from all 24 pairs. Previously well-known cancer-related genes such as EZH2,
CNR1, SUZ2 (GB hypomethylated), and CDH1, DNMT3A/B, CNR1 (GB hypermethylated)
form major nodes in this network. At the periphery of the network several lung cancer—related
genes can be detected such as SFRP5, MUC4, PTPRF. PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 References 1. American Cancer Society. Cancer facts & figures. 2014. 1. American Cancer Society. Cancer facts & figures. 2014. 1. American Cancer Society. Cancer facts & figures. 2014. 2. Ehrlich M. DNA methylation in cancer: too much, but also too little. Oncogene. 2002; 21: 5400–13. doi:
10.1038/sj.onc.1205651 PMID: 12154403 2. Ehrlich M. DNA methylation in cancer: too much, but also too little. Oncogene. 2002; 21: 5400–13. doi:
10.1038/sj.onc.1205651 PMID: 12154403 3. Herman JG, Baylin SB. Gene silencing in cancer in association with promoter hypermethylation. N Engl
J Med. 2003; 349: 2042–2054. doi: 10.1056/NEJMra023075 PMID: 14627790 3. Herman JG, Baylin SB. Gene silencing in cancer in association with promoter hypermethylation. N Engl
J Med. 2003; 349: 2042–2054. doi: 10.1056/NEJMra023075 PMID: 14627790 4. Han W, Shi M, Spivack SD. Site-specific methylated reporter constructs for functional analysis of DNA
methylation. Epigenetics. 2013; 8: 1176–1187. doi: 10.4161/epi.26195 PMID: 24004978 5. Brenet F, Moh M, Funk P, Feierstein E, Viale AJ, Socci ND, et al. DNA methylation of the first exon is
tightly linked to transcriptional silencing. PLoS One. Public Library of Science; 2011; 6: e14524. doi: 10. 1371/journal.pone.0014524 6. Jones P a. Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat Rev Genet. 2012; 13: 484–92. doi: 10.1038/nrg3230 PMID: 22641018 7. Oh J, Chambwe N, Klein S, Gal J, Andrews S, Gleason G, et al. Differential gene body methylation and
reduced expression of cell adhesion and neurotransmitter receptor genes in adverse maternal environ-
ment. 2013; doi: 10.1038/tp.2012.130 8. Varley KE, Gertz J, Bowling KM, Parker SL, Reddy TE, Pauli-behn F, et al. Dynamic DNA methylation
across diverse human cell lines and tissues. 2013; 555–567. 9. Anglim PP, Alonzo T a, Laird-Offringa I a. DNA methylation-based biomarkers for early detection of
non-small cell lung cancer: an update. Mol Cancer. 2008; 7: 81. doi: 10.1186/1476-4598-7-81 PMID:
18947422 10. Hatada I, Fukasawa M, Kimura M, Morita S, Yamada K, Yoshikawa T, et al. Genome-wide profiling of
promoter methylation in human. Oncogene. 2006; 25: 3059–64. doi: 10.1038/sj.onc.1209331 PMID:
16407832 11. Tsou J a, Hagen J a, Carpenter CL, Laird-Offringa I a. DNA methylation analysis: a powerful new tool
for lung cancer diagnosis. Oncogene. 2002; 21: 5450–61. doi: 10.1038/sj.onc.1205605 PMID:
12154407 12. Toyooka S, Maruyama R, Toyooka KO, McLerran D, Feng Z, Fukuyama Y, et al. Smoke exposure, his-
tologic type and geography-related differences in the methylation profiles of non-small cell lung cancer. Int J Cancer. Author Contributions Conceived and designed the experiments: NM M. Suzuki J. Lin SDS. Performed the experi-
ments: NM M. Suzuki WH GM CZ J. Locker. Analyzed the data: NM BY M. Suzuki MF J. Lin
TW SDS. Contributed reagents/materials/analysis tools: M. Suzuki MF J. Lin TW SK. Wrote
the paper: NM BY WH GM J. Locker SDS. Lab support and RNA studies: M. Shi. Acknowledgments John Greally, MBBS, PhD, for developing and refining the HELP assay, and general guidance;
Shahina Maqbool PhD for Epigenomics Core execution of the HELP assay; David Reynolds of
the Genomics Core for DNA sequencing and MassARRAY EPITYPER1 guidance. Supporting Information S6B Fig Top Gene network generated
from DM loci within gene bodies in Adenocarcinomas alone (16 pairs). AR (GB hypo-
methylated in tumors) the androgen receptor gene until now not closely associated with lung
cancer forms a central node in this network, and was noted to be more methylated in the GB of
normal lung tissue of men than women (not shown here). SVIL (GB hypomethylated) is
involved in actin-myosin and cell spreading, and, connects with several other gnes involved in
cytoskeletal function including MYO1B (GB hypermethylated), TUBA, TUBB, LMNB etc. S6C
Fig Cancer-related gene network generated from DM loci within promoters in the vicinity
of DE genes, Adenocarcinomas alone (13 pairs). The cancer-related network derived from
this analysis consisted of a single hypomethylated gene promoter (NQO1) at the node of a clus-
ter interacting with TP53, HSP70 and NPM1. Several hypermethylated gene promoters includ-
ing HBEGF, SMAD6, PTPN13, CDH5 and SFTPC were found at the periphery of the networks. This DMxDE network is comprised of several genes that are not identified as DM from this
study, but form a part of the network by virtue of their interactions with other DM loci and are
depicted in white shapes. S1 File. Supplementary Materials and Methods. (PDF)
S1 Table. Donor Characteristics. (PDF)
S2 Table. Top 25 Differentially Methylated Loci. (PDF)
S3 Table. Methylation-Expression Overlay. (PDF)
S4 Table. Primers used. (PDF)
S5 Table. Promoter CGI and CGS distinction in DMxDE analysis. (PDF)
S6 Table. Summary of IPA Analyses. (PDF) S1 File. Supplementary Materials and Methods. (PDF) S1 File. Supplementary Materials and Methods. (PDF) S1 Table. Donor Characteristics. (PDF) S2 Table. Top 25 Differentially Methylated Loci. (PDF) S2 Table. Top 25 Differentially Methylated Loci. (PDF) S3 Table. Methylation-Expression Overlay. (PDF) S3 Table. Methylation-Expression Overlay. (PDF) S3 Table. Methylation-Expression Overlay. S4 Table. Primers used. (PDF) S5 Table. Promoter CGI and CGS distinction in DMxDE analysis. (PDF) S6 Table. Summary of IPA Analyses. (PDF) 17 / 21 17 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 References 2003; 103: 153–60. doi: 10.1002/ijc.10787 PMID: 12455028 13. Lokk K, Vooder T, Kolde R, Välk K, Võsa U, Roosipuu R, et al. Methylation markers of early-stage non-
small cell lung cancer. PLoS One. 2012; 7: e39813. doi: 10.1371/journal.pone.0039813 PMID:
22768131 14. Belinsky S a, Nikula KJ, Palmisano W a, Michels R, Saccomanno G, Gabrielson E, et al. Aberrant meth-
ylation of p16(INK4a) is an early event in lung cancer and a potential biomarker for early diagnosis. Proc Natl Acad Sci U S A. 1998; 95: 11891–6. PMID: 9751761 15. Palmisano WA, Divine KK, Saccomanno G, Gilliland FD, Baylin SB, Herman JG, et al. Predicting Lung
Cancer by Detecting Aberrant Promoter Methylation in Sputum Advances in Brief Predicting Lung Can-
cer by Detecting Aberrant Promoter Methylation in Sputum 1. 2000; 5954–5958. PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 18 / 21 Methylome Alterations in Lung Cancer 16. Han W, Cauchi S, Herman JG, Spivack SD. DNA methylation mapping by tag-modified bisulfite geno-
mic sequencing. Anal Biochem. 2006; 355: 50–61. doi: 10.1016/j.ab.2006.05.010 PMID: 16797472 17. Herman JG, Graff JR, Myohanen S, Nelkin BD. Methylation-specific PCR: A novel PCR assay for meth-
ylation. Reactions. 1996; 93: 9821–9826. 18. Ehrich M, Nelson MR, Stanssens P, Zabeau M, Liloglou T, Xinarianos G, et al. Quantitative high-
throughput analysis of DNA methylation patterns by base-specific cleavage and mass spectrometry. Proc Natl Acad Sci U S A. 2005; 102: 15785–15790. PMID: 16243968 19. Laird PW. Principles and challenges of genome- wide DNA methylation analysis. 2010; doi: 10.1038/
nrg2732 20. Lister R, Pelizzola M, Dowen RH, Hawkins RD, Hon G, Tonti-Filippini J, et al. Human DNA methylomes
at base resolution show widespread epigenomic differences. Nature. Nature Publishing Group; 2009;
462: 315–22. doi: 10.1038/nature08514 21. Carvalho RH, Haberle V, Hou J, van Gent T, Thongjuea S, van Ijcken W, et al. Genome-wide DNA
methylation profiling of non-small cell lung carcinomas. Epigenetics Chromatin. 2012; 5: 9. doi: 10. 1186/1756-8935-5-9 PMID: 22726460 22. Heller G, Babinsky VN, Ziegler B, Weinzierl M, Noll C, Altenberger C, et al. Genome-wide CpG island
methylation analyses in non-small cell lung cancer patients. Carcinogenesis. 2013; 34: 513–21. doi:
10.1093/carcin/bgs363 PMID: 23172663 23. Selamat S a, Chung BS, Girard L, Zhang W, Zhang Y, Campan M, et al. Genome-scale analysis of
DNA methylation in lung adenocarcinoma and integration with mRNA expression. Genome Res. 2012;
22: 1197–211. doi: 10.1101/gr.132662.111 PMID: 22613842 24. References Collisson E a., Campbell JD, Brooks AN, Berger AH, Lee W, Chmielecki J, et al. Comprehensive molec-
ular profiling of lung adenocarcinoma. Nature. Nature Publishing Group; 2014; 511: 543–50. doi: 10. 1038/nature13385 25. Hammerman PS, Lawrence MS, Voet D, Jing R, Cibulskis K, Sivachenko A, et al. Comprehensive
genomic characterization of squamous cell lung cancers. Nature. 2012; 489: 519–525. doi: 10.1038/
nature11404 PMID: 22960745 26. Khulan B, Thompson RF, Ye K, Fazzari MJ, Suzuki M, Stasiek E, et al. Comparative isoschizomer pro-
filing of cytosine methylation: The HELP assay. 2006; 1046–1055. 27. Wessa P. Free Statistics Software, Office for Research Development and Education, version 1.1.23-r7
[Internet]. 2014. Available: www.wessa.net 28. Wang Y, Barbacioru C, Hyland F, Xiao W, Hunkapiller KL, Blake J, et al. Large scale real-time PCR vali-
dation on gene expression measurements from two commercial long-oligonucleotide microarrays. BMC Genomics. 2006; 7: 59. PMID: 16551369 29. Peinado H, Olmeda D, Cano A. Snail, Zeb and bHLH factors in tumour progression: an alliance against
the epithelial phenotype? Nat Rev Cancer. 2007; 7: 415–428. doi: 10.1038/nrc2131 PMID: 17508028 30. Fang Z, Luna EJ. Supervillin-mediated suppression of p53 protein enhances cell survival. J Biol Chem. 2013; 288: 7918–29. doi: 10.1074/jbc.M112.416842 PMID: 23382381 31. Han W, Wang T, Reilly AA, Keller SM, Spivack SD. Gene promoter methylation assayed in exhaled
breath, with differences in smokers and lung cancer patients. Respir Res. 2009; 10: 86. doi: 10.1186/
1465-9921-10-86 PMID: 19781081 32. Nikolaidis G, Raji OY, Markopoulou S, Gosney JR, Bryan J, Warburton C, et al. DNA methylation bio-
markers offer improved diagnostic efficiency in lung cancer. Cancer Res. 2012; 72: 5692–5701. doi: 10. 1158/0008-5472.CAN-12-2309 PMID: 22962272 33. Ostrow KL, Hoque MO, Loyo M, Brait M, Greenberg A, Siegfried JM, et al. Molecular analysis of plasma
DNA for the early detection of lung cancer by quantitative methylation-specific PCR. Clin Cancer Res. 2010; 16: 3463–3472. doi: 10.1158/1078-0432.CCR-09-3304 PMID: 20592015 34. Shames DS, Girard L, Gao B, Sato M, Lewis CM, Shivapurkar N, et al. A genome-wide screen for pro-
moter methylation in lung cancer identifies novel methylation markers for multiple malignancies. PLoS
Med. 2006; 3: e486. doi: 10.1371/journal.pmed.0030486 PMID: 17194187 35. Sandoval J, Mendez-Gonzalez J, Nadal E, Chen G, Carmona FJ, Sayols S, et al. A prognostic DNA
methylation signature for stage I non-small-cell lung cancer. J Clin Oncol. 2013; 31: 4140–7. doi: 10. 1200/JCO.2012.48.5516 PMID: 24081945 36. Fazzari MJ, Greally JM. Epigenomics: beyond cpg islands. PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 References Genetics. 2004; 5. doi: 10.1038/nrg1349 37. Shinjo K, Okamoto Y, An B, Yokoyama T, Takeuchi I, Fujii M, et al. Carcinogenesis Advance Access
published April 24, 2012 CIMP in lung adenocarcinoma Integrated analysis of genetic and epigenetic
alterations reveals CpG island methylator phenotype associated with distinct clinical characters of lung
adenocarcinoma CIMP. Science And Technology. 2012. 19 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer 38. Jones PA. Functions of DNA methylation: islands, start sites, gene bodies and beyond. 2012; 13. doi:
10.1038/nrg3230 39. Wan J, Oliver VF, Zhu H, Zack DJ, Qian J, Merbs SL. Integrative analysis of tissue-specific methylation
and alternative splicing identifies conserved transcription factor binding motifs. 2013; 41: 8503–8514. doi: 10.1093/nar/gkt652 40. Maunakea AK, Chepelev I, Cui K, Zhao K. Intragenic DNA methylation modulates alternative splicing
by recruiting MeCP2 to promote exon recognition. Cell Res. Nature Publishing Group; 2013; 23: 1256–
69. doi: 10.1038/cr.2013.110 41. Kim Y-W, Kwon C, Liu J-L, Kim SH, Kim S. Cancer Association Study of Aminoacyl-tRNA Synthetase
Signaling Network in Glioblastoma. PLoS One. 2012; 7: e40960. doi: 10.1371/journal.pone.0040960
PMID: 22952576 42. Tanaka M, Shibahara J, Fukushima N, Shinozaki a., Umeda M, Ishikawa S, et al. Claudin-18 Is an
Early-Stage Marker of Pancreatic Carcinogenesis. J Histochem Cytochem. 2011; 59: 942–952. doi: 10. 1369/0022155411420569 PMID: 21832145 43. Micke P, Mattsson JSM, Edlund K, Lohr M, Jirström K, Berglund A, et al. Aberrantly activated claudin 6
and 18.2 as potential therapy targets in non-small-cell lung cancer. Int J Cancer. 2014; 135: 2206–14. doi: 10.1002/ijc.28857 PMID: 24710653 44. Moravcikova E, Krepela E, Prochazka J, Rousalova I, Cermak J, Benkova K. Down-regulated expres-
sion of apoptosis-associated genes APIP and UACA in non-small cell lung carcinoma. Int J Oncol. 2012; 40: 2111–2121. doi: 10.3892/ijo.2012.1397 PMID: 22407486 45. Black JD. Protein kinase C-mediated regulation of the cell cycle. Front Biosci. 2000; 5: D406–23. PMID: 10762593 46. Wang H, Gutierrez-Uzquiza A, Garg R, Barrio-Real L, Abera MB, Lopez-Haber C, et al. Transcriptional
regulation of oncogenic protein kinase C (PKC) by STAT1 and Sp1 proteins. J Biol Chem. 2014; 289:
19823–38. doi: 10.1074/jbc.M114.548446 PMID: 24825907 47. Cao X, Li Y, Luo R, Zhang L, Zhang S. Expression of Cystatin SN significantly correlates with recur-
rence, metastasis, and survival duration in surgically resected non-small cell lung cancer patients. Sci
Rep. 2015; 48. Yamatoji M, Kasamatsu A, Kouzu Y, Koike H, Sakamoto Y, Ogawara K, et al. PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 References Dermatopontin: A poten-
tial predictor for metastasis of human oral cancer. Int J Cancer. 2012; 130: 2903–2911. doi: 10.1002/ijc. 26328 PMID: 21796630 49. Fu Y, Feng M, Yu J, Ma M, Liu X, Li J, et al. DNA methylation-mediated silencing of matricellular protein
dermatopontin promotes hepatocellular carcinoma metastasis by α3β1 integrin-Rho GTPase signaling. 5. 50. Woenckhaus M, Klein-Hitpass L, Grepmeier U, Merk J, Pfeifer M, Wild P, et al. Smoking and cancer-
related gene expression in bronchial epithelium and non-small-cell lung cancers. J Pathol. 2006; 210:
192–204. doi: 10.1002/path.2039 PMID: 16915569 51. Gray D, Jubb AM, Hogue D, Dowd P, Kljavin N, Yi S, et al. Maternal embryonic leucine zipper kinase/
murine protein serine-threonine kinase 38 is a promising therapeutic target for multiple cancers. Cancer
Res. 2005; 65: 9751–9761. doi: 10.1158/0008-5472.CAN-04-4531 PMID: 16266996 52. Ganguly R, Mohyeldin A, Thiel J, Kornblum HI, Beullens M, Nakano I. MELK—a conserved kinase:
functions, signaling, cancer, and controversy. Clin Transl Med. 2015; 4. doi: 10.1186/s40169-014-
0045-y 53. Burk U, Schubert J, Wellner U, Schmalhofer O, Vincan E, Spaderna S, et al. A reciprocal repression
between ZEB1 and members of the miR-200 family promotes EMT and invasion in cancer cells. EMBO
Rep. 2008; 9: 582–589. doi: 10.1038/embor.2008.74 PMID: 18483486 54. Hurteau GJ, Carlson JA, Spivack SD, Brock GJ. Overexpression of the MicroRNA hsa-miR-200c leads
to reduced expression of transcription factor 8 and increased expression of E-cadherin. Cancer Res. 2007; 67: 7972–7976. doi: 10.1158/0008-5472.CAN-07-1058 PMID: 17804704 55. Yauch RL, Januario T, Eberhard D a., Cavet G, Zhu W, Fu L, et al. Epithelial versus mesenchymal phe-
notype determines in vitro sensitivity and predicts clinical activity of erlotinib in lung cancer patients. Clin Cancer Res. 2005; 11: 8686–8698. doi: 10.1158/1078-0432.CCR-05-1492 PMID: 16361555 56. Chen K, Wu K, Cai S, Zhang W, Zhou J, Wang J, et al. Dachshund binds p53 to block the growth of
lung adenocarcinoma cells. Cancer Res. 2013; 73: 3262–74. doi: 10.1158/0008-5472.CAN-12-3191
PMID: 23492369 57. Alberg AJ, Brock M V., Ford JG, Samet JM, Spivack SD. Epidemiology of lung cancer: Diagnosis and
management of lung cancer, 3rd ed: American college of chest physicians evidence-based clinical
practice guidelines. Chest. 2013; 143. 20 / 21 PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 Methylome Alterations in Lung Cancer 58. Travis WD, Brambilla E, Noguchi M, Nicholson AG, Geisinger KR, Yatabe Y, et al. PLOS ONE | DOI:10.1371/journal.pone.0143826
December 18, 2015 References International associ-
ation for the study of lung cancer/american thoracic society/european respiratory society international
multidisciplinary classification of lung adenocarcinoma. J Thorac Oncol. 2011; 6: 244–285. doi: 10. 1097/JTO.0b013e318206a221 PMID: 21252716 59. Tan X-L, Wang T, Xiong S, Kumar S V, Han W, Spivack SD. Smoking-Related Gene Expression in
Laser Capture-Microdissected Human Lung. Clin Cancer Res. 2009; 15: 7562–7570. doi: 10.1158/
1078-0432.CCR-09-1694 PMID: 19996203 60. Lin J, Marquardt G, Mullapudi N, Wang T, Han W, Shi M, et al. Lung cancer transcriptomes refined with
laser capture microdissection. Am J Pathol. 2014; 184: 2868–84. doi: 10.1016/j.ajpath.2014.06.028
PMID: 25128906 61. Thompson RF, Reimers M, Khulan B, Gissot M, Richmond TA, Chen Q, et al. An analytical pipeline for
genomic representations used for cytosine methylation studies. 2008; 24: 1161–1167. doi: 10.1093/
bioinformatics/btn096 62. Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to
Multiple Testing. J R Stat Soc Ser B. 1995; 57: 289–300. 21 / 21
|
https://openalex.org/W3185975249
|
https://www.nature.com/articles/s41598-021-94731-2.pdf
|
English
| null |
Zooarchaeology through the lens of collagen fingerprinting at Denisova Cave
|
Scientific reports
| 2,021
|
cc-by
| 9,403
|
Zooarchaeology through the lens
of collagen fingerprinting
at Denisova Cave Samantha Brown1,2*, Naihui Wang2, Annette Oertle2, Maxim B. Kozlikin3,
Michael V. Shunkov3, Anatoly P. Derevianko3, Daniel Comeskey4, Blair Jope‑Street2,
Virginia L. Harvey5,6, Manasij Pal Chowdhury5,6, Michael Buckley5,6, Thomas Higham4,7 &
Katerina Douka2,7* Samantha Brown1,2*, Naihui Wang2, Annette Oertle2, Maxim B. Kozlikin3,
Michael V. Shunkov3, Anatoly P. Derevianko3, Daniel Comeskey4, Blair Jope‑Street2,
Virginia L. Harvey5,6, Manasij Pal Chowdhury5,6, Michael Buckley5,6, Thomas Higham4,7 &
Katerina Douka2,7* Denisova Cave, a Pleistocene site in the Altai Mountains of Russian Siberia, has yielded significant
fossil and lithic evidence for the Pleistocene in Northern Asia. Abundant animal and human bones
have been discovered at the site, however, these tend to be highly fragmented, necessitating
new approaches to identifying important hominin and faunal fossils. Here we report the results
for 8253 bone fragments using ZooMS. Through the integration of this new ZooMS-based data
with the previously published macroscopically-identified fauna we aim to create a holistic picture
of the zooarchaeological record of the site. We identify trends associated with climate variability
throughout the Middle and Upper Pleistocene as well as patterns explaining the process of bone
fragmentation. Where morphological analysis of bones from the site have identified a high proportion
of carnivore bones (30.2%), we find that these account for only 7.6% of the ZooMS assemblage, with
large mammals between 3 and 5 more abundant overall. Our analysis suggests a cyclical pattern
in fragmentation of bones which sees initial fragmentation by hominins using percussive tools and
secondary carnivore action, such as gnawing and digestion, likely furthering the initial human-induced
fragmentation. Studying highly fragmented archaeological and paleontological bone assemblages is a particularly challenging
task. Robust enough that they can survive a range of depositional environments, bones are still susceptible to
numerous taphonomic processes1–4. Research into large assemblages of fragmented bones has been instrumental
in exploring depositional histories and accumulation5–8 and the impact of freezing and thawing9, weathering10,11,
trampling and gnawing12, and the role of humans modifying and processing bones, either for subsistence rea-
sons (e.g. bone marrow exploitation and fuel use)13–16 or for the production of osseous tools17,18. Fragmentation
adversely affects taxonomic and anatomical attribution and it is estimated that only a third of bones found
in Pleistocene archaeological contexts can be identified using traditional methodologies, i.e. through visual
inspection19,20. www.nature.com/scientificreports www.nature.com/scientificreports Zooarchaeology through the lens
of collagen fingerprinting
at Denisova Cave Without a reliable means of determining taxonomically highly fragmented bones these are often
recorded as “unidentified” fauna excluding their integration into detailed zooarchaeological studies and the
possibility of identifying new faunal groups and uncommon taxa. p
y
y
g
g
p
Recently the potential of highly fragmented Pleistocene-age bone assemblages has been explored through the
use of peptide mass fingerprinting, specifically using ZooMS (Zooarchaeology by Mass Spectrometry)21. ZooMS
provides an efficient means of screening and taxonomically identifying bones through the targeted analysis of
type I collagen (COL1). The method has been applied to large Pleistocene assemblages22–24, including the Mid-
dle and Late Pleistocene site, Denisova Cave, in the Russian Altai25,26. ZooMS analysis of fragmented bones at
Denisova Cave has so far resulted in the identification of nine new hominin remains25–27, including two Nean-
derthals (Denisova 15 and Denisova 17), three Denisovans (Denisova 19, Denisova 20, and Denisova 21), and 1Institute for Scientific Archaeology, Eberhard Karls University of Tübingen, Tübingen, Germany. 2Max Planck
Institute for the Science of Human History, Jena, Germany. 3Institute of Archeology and Ethnography, Siberian
Branch of the Russian Academy of Sciences, Novosibirsk, Russia. 4Oxford Radiocarbon Accelerator Unit, RLAHA,
University of Oxford, Oxford OX1 3QY, UK. 5Department of Earth and Environmental Sciences, School of Natural
Sciences, The University of Manchester, Manchester M13 9PL, UK. 6Manchester Institute of Biotechnology, The
University of Manchester, Manchester M1 7DN, UK. 7Department of Evolutionary Anthropology, Faculty of Life
Sciences, University of Vienna, Vienna, Austria. *email: brown@shh.mpg.de; douka@shh.mpg.de | https://doi.org/10.1038/s41598-021-94731-2 Scientific Reports | (2021) 11:15457 www.nature.com/scientificreports/ Figure 1. Comparison of overall ZooMS results by chamber of Denisova Cave showing samples which could
be identified to their most specific ZooMS taxon (shown here as herbivores and predators) in comparison with
samples which could only be identified to family/order or those which failed analysis. Figure 1. Comparison of overall ZooMS results by chamber of Denisova Cave showing samples which could
be identified to their most specific ZooMS taxon (shown here as herbivores and predators) in comparison with
samples which could only be identified to family/order or those which failed analysis. the offspring of a Neanderthal mother and a Denisovan father (Denisova 11)25,28. In the course of identifying
these individuals a large assemblage of fauna has been identified which has not been discussed thus far. Here we report the results of 8253 fragmented bones from Denisova Cave that were analysed using ZooMS. Zooarchaeology through the lens
of collagen fingerprinting
at Denisova Cave These bones were initially studied with the aim of identifying hominin remains and, in light of recent pub-
lications detailing the chronology of the site26,29, zooarchaeological findings29–34, and palaeoenvironmental
reconstructions35,36 we aim to identify what contribution, if any, these fragmented bones may play in our under-
standing of Denisova Cave’s faunal record by reincorporating them into research at the site.h The addition of ZooMS-based determinations into the more traditional zooarchaeological analysis is inher-
ently complicated, particularly when analysing morphologically non-diagnostic bones. A first limitation stems
from the broad taxonomic groupings created through ZooMS analysis which do not match the often more
detailed macroscopic identifications. For large mammals, ZooMS is typically only able to make genus level
identifications, with some exceptions in which species can be determined37. Second, because NISP (Number of
Individual/Identified Specimens) is the only reliable measurement through which these highly fragmentary bones
can be counted, this inevitably leads to an overestimation of the presence/absence of fauna19,20. With these limita-
tions in mind, and using different approaches we detail below, we use ZooMS-identified bones to create a holistic
view of the fauna assemblage from Denisova Cave and determine broad trends and variation through time. Materials These
were sampled with the permission of and in collaboration with the Institute of Archeology and Ethnography of
the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.ii y
Bones were specifically chosen as they could not be identified on the basis of morphology and, where possible,
fragments > 2 cm in length were preferentially selected, although smaller bones were also part of our analysed
assemblage. Assemblages of bones of this size were also assumed to contain morphologically indistinct hominin
remains since all previously identified hominins at the site were no bigger than ~ 3 cm in length. Samples were
drilled in preparation for analysis and from each bone approximately 20 mg was removed using a diamond
covered disc. Care was taken to clean equipment between drilling samples to minimise cross-contamination. Sampling was undertaken at two laboratories, at the School of Archaeology, University of Oxford, U.K. and at the
Department of Archaeology, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Germany. Materials Denisova Cave, situated in the Altai Mountains of Russian Siberia, is unique in its hominin record as the only
site where both Neanderthal and Denisovan fossils have been identified (Supplementary Fig. 1)38–41. The cave,
situated in the ledge of a southwest-facing rock wall and overlooking the Anui River, has the longest stratigraphic
sequence for northern Eurasia, with contexts dating from the Middle Pleistocene. This extensive sequence has
made Denisova Cave a type-site for northern Eurasia, allowing for palynological42 and palaeoecological43,44
reconstructions of the region and several zooarchaeological studies29–34,36. Despite particularly favorable condi- Denisova Cave, situated in the Altai Mountains of Russian Siberia, is unique in its hominin record as the only
site where both Neanderthal and Denisovan fossils have been identified (Supplementary Fig. 1)38–41. The cave,
situated in the ledge of a southwest-facing rock wall and overlooking the Anui River, has the longest stratigraphic
sequence for northern Eurasia, with contexts dating from the Middle Pleistocene. This extensive sequence has
made Denisova Cave a type-site for northern Eurasia, allowing for palynological42 and palaeoecological43,44
reconstructions of the region and several zooarchaeological studies29–34,36. Despite particularly favorable condi-
tions that ensure a high degree of biomolecular preservation at the site, less than 5% of bones excavated can be
identified macroscopically29–34,36, making Denisova Cave cave a good candidate for the application of ZooMS. We analysed 8,253 non-diagnostic bone fragments which were excavated from each of the three interconnecting
chambers of Denisova Cave. The majority of these bones come from the East Chamber (n = 6288), followed by
the Main (n = 1143) and South (n = 822) chambers (Supplementary Information; Supplementary Fig. 1). These
were sampled with the permission of and in collaboration with the Institute of Archeology and Ethnography of
the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.ii g
g
p
p
y
tions that ensure a high degree of biomolecular preservation at the site, less than 5% of bones excavated can be
identified macroscopically29–34,36, making Denisova Cave cave a good candidate for the application of ZooMS. We analysed 8,253 non-diagnostic bone fragments which were excavated from each of the three interconnecting
chambers of Denisova Cave. The majority of these bones come from the East Chamber (n = 6288), followed by
the Main (n = 1143) and South (n = 822) chambers (Supplementary Information; Supplementary Fig. 1). Results
ll Overall, of the 8253 analysed bones, 74% were assigned to a specific ZooMS taxon whereas an additional 5%
could only be identified to family or order level due to low quality spectra (Supplementary Information). The
South Chamber had a high rate of samples that failed to produce enough collagen for taxonomic identification
(28%), in comparison with lower rates of failure for the East (16%) and Main (17%) chambers (Fig. 1).ii In total we identified 18 ZooMS taxa amongst the bones we analysed (Table 1). A ZooMS taxon is defined
here as the most specific identification ZooMS is able to provide, generally to a genus or family level. For instance,
several Canids have been identified within the morphological assemblage at Denisova Cave, including Canis
lupus (wolf), Vulpes corsak (corsak fox), Cuon alpinus (dhole), and Alopex lagopus (arctic fox), all of which could Scientific Reports | (2021) 11:15457 | https://doi.org/10.1038/s41598-021-94731-2 www.nature.com/scientificreports/ Table 1. The results of ZooMS analysis of 8,253 fragmented bones from Denisova Cave. For the species most
likely included in the “ZooMS-taxon” see Table S1. Results
ll ZooMS taxon
East chamber
Main chamber
South chamber
Total
Bison/Yak
1629
337
221
2187
Canidae
140
12
8
160
Capra
209
75
30
314
Cervidae
18
18
Cervidae/Gazella/Saiga
1189
35
32
1256
Crocuta/Panthera
99
21
19
139
Elephantidae
181
40
35
256
Equidae
669
123
58
850
Felidae
7
1
8
Hominin
6
1
7
Leporidae
2
2
Muridae
2
2
Mustelidae
2
2
Ovis
147
108
40
295
Ovis/Capra
302
67
54
423
Rangifer
34
3
1
38
Rhinocerotidae
401
98
48
547
Ursidae
123
20
33
176
Vulpes vulpes
19
19
Bird
9
1
10
Capra/Rangifer
12
2
3
17
Cervidae/Gazella/Saiga/Equidae
15
1
16
Crocuta/Panthera/Mustelidae
11
5
4
20
Equidae/Rhinocerotidae
1
1
Felidae/Crocuta/Panthera
1
1
Felidae/Crocuta/Panthera/Mustelidae
2
2
Felidae/Ursidae
18
4
1
23
Ovis/Capra/Cervidae/Gazella/Saiga
25
25
Ovis/Capra/Rangifer
4
2
6
Ovis/Cervidae/Gazella/Saiga
25
3
28
Unknown
19
3
3
25
Failed
968
183
229
1380
Total
6288
1143
822
8253 h
ZooMS taxon
East chamber
Main chamber
South chamber
Total
Bison/Yak
1629
337
221
2187
Canidae
140
12
8
160
Capra
209
75
30
314
Cervidae
18
18
Cervidae/Gazella/Saiga
1189
35
32
1256
Crocuta/Panthera
99
21
19
139
Elephantidae
181
40
35
256
Equidae
669
123
58
850
Felidae
7
1
8
Hominin
6
1
7
Leporidae
2
2
Muridae
2
2
Mustelidae
2
2
Ovis
147
108
40
295
Ovis/Capra
302
67
54
423
Rangifer
34
3
1
38
Rhinocerotidae
401
98
48
547
Ursidae
123
20
33
176
Vulpes vulpes
19
19
Bird
9
1
10
Capra/Rangifer
12
2
3
17
Cervidae/Gazella/Saiga/Equidae
15
1
16
Crocuta/Panthera/Mustelidae
11
5
4
20
Equidae/Rhinocerotidae
1
1
Felidae/Crocuta/Panthera
1
1
Felidae/Crocuta/Panthera/Mustelidae
2
2
Felidae/Ursidae
18
4
1
23
Ovis/Capra/Cervidae/Gazella/Saiga
25
25
Ovis/Capra/Rangifer
4
2
6
Ovis/Cervidae/Gazella/Saiga
25
3
28
Unknown
19
3
3
25
Failed
968
183
229
1380
Total
6288
1143
822
8253 Table 1. The results of ZooMS analysis of 8,253 fragmented bones from Denisova Cave. For the species most
kely included in the “ZooMS-taxon” see Table S1. only be classified as ‘Canidae’ through ZooMS analysis as their peptide mass fingerprints are identical. Vulpes
vulpes (red fox) is the only Canid that can be differentiated using ZooMS, as a result of a small difference in their
COL1ɑ2 484‒498 peptide45 (Supplementary Table 1). The assemblage is dominated by large vertebrates, with
small vertebrates and birds accounting for less than 1% of the identified material examined. Results
ll Small mammals from both the morphological assemblage and ZooMS-IDed component, samples
which failed ZooMS analysis, and “Unknown” spectra are not included. East chamber. ZooMS analysis was carried out on 6,288 bone fragments from most archaeological layers of
the East Chamber (Table 1; Supplementary Table 2). Predators account for 20% of the morphological assemblage
of the East Chamber, in comparison with only 7.7% of the ZooMS-IDed assemblage. The overall proportion of
predator remains does not vary significantly throughout the layers of the East Chamber in the morphological
assemblage. Cave hyaena (Crocuta crocuta spelaea) are the dominant predators between layers 9–13, alongside
smaller numbers of Panthera, Canidae, and Felidae29,31. Their behaviours are particularly visible in the archaeo-
logical material from layers 9–11 where a large number of bones have clearly passed through the digestive tracts
of hyaenas or wolves, leaving acid corrosion marks on bones and dissolving the enamel on teeth29,31. In con-
trast, in the ZooMS-IDed component, Crocuta/Panthera are present in relatively low numbers, accounting for
approximately 1.9% of all identified bones (Fig. 2). Canidae on the other hand are consistently the dominant
predator group in the ZooMS-IDed component for each of the studied layers of the East Chamber. Within the
morphological assemblage, Canidae only exceed Crocuta/Panthera in layers 15–1729,31 a period during which
forest species like Capreolus pygargus (Siberian roe deer) and Cervus elaphus (red deer) are the major herbivore
groups present in the assemblage (see below). In the ZooMS-IDed fauna, Canidae account for 2.7% of all the
bones identified within the East Chamber.hi i
The two most significant herbivore taxa in the ZooMS-IDed component for the East Chamber are Cervi-
dae/Gazella/Saiga and Bison/Yak. The Cervidae/Gazella/Saiga ZooMS-taxon includes C. pygargus, C. elaphus,
Megaloceros giganteus (Irish elk), Alces alces (elk), Saiga tatarica borealis (saiga antelope), and Procapra gutturosa
(Mongolian gazelle). The only cervid species present at Denisova Cave which can be separated from this group
is the Siberian roe deer on the basis of their COL1ɑ2 757–789 (ɑ2 757)45 peptide marker. The ɑ2 757 peptide for
Siberian roe deer is present at m/z 3043.4/3059.4 but at m/z 3017.5/3033.5 for Cervidae/Gazella/Saiga. Since this
differentiation is based on a single marker it is possible that many of the generically identified Cervidae/Gazella/
Saiga are actually Siberian roe deer which were missing their ɑ2 757 marker in poorer preserved specimens. Results
ll This is likely in part
a result of our selection of bones which were preferentially 2 cm in length or more. only be classified as ‘Canidae’ through ZooMS analysis as their peptide mass fingerprints are identical. Vulpes
vulpes (red fox) is the only Canid that can be differentiated using ZooMS, as a result of a small difference in their
COL1ɑ2 484‒498 peptide45 (Supplementary Table 1). The assemblage is dominated by large vertebrates, with
small vertebrates and birds accounting for less than 1% of the identified material examined. This is likely in part
a result of our selection of bones which were preferentially 2 cm in length or more. Comparing datasets. In order to compare the ZooMS identified fauna with previously-published zoo-
archaeological datasets from Denisova Cave we have compiled those datasets, referred to as the ‘morphologi-
cal assemblage’, from the literature and converted them into ZooMS-style groupings (following Supplementary
Table 1) which can then be directly compared with the new ZooMS results we present here (Fig. 2). In our
discussion of percentages, we have excluded samples which failed ZooMS analysis or those which could not be
assigned to the most specific ZooMS taxon possible, with the exception of Ovis/Capra and Crocuta/Panthera
(see Supplementary Information) in order to make them more compatible with zooarchaeological results. We
have also excluded small vertebrates as they were not identified in sufficient numbers for direct comparison with
the morphological assemblage. While some results are not included in our comparisons with the zooarchaeo-
logical datasets, all results are reported in the Supplementary Information (Supplementary Table 2, 3, 4; External
Database 1). We use the term “predator”, rather than “carnivore”, to group the activity of hominins, Canidae, Crocuta/
Panthera, Ursidae and V. vulpes, some of which have varied diets. The term “herbivores” includes Bison/Yak,
Capra, Cervidae/Gazella/Saiga, Elephantidae, Equidae, Ovis, and Rhinocerotidae. https://doi.org/10.1038/s41598-021-94731-2 Scientific Reports | (2021) 11:15457 | www.nature.com/scientificreports/ www.nature.com/scientificreports/ Figure 2. Comparison of the overall abundance of fauna between the morphological assemblage and the
ZooMS-IDed fauna for the three chambers of Denisova Cave. Only the largest faunal groups have been
included. Small mammals from both the morphological assemblage and ZooMS-IDed component, samples
which failed ZooMS analysis, and “Unknown” spectra are not included. Figure 2. Comparison of the overall abundance of fauna between the morphological assemblage and the
ZooMS-IDed fauna for the three chambers of Denisova Cave. Only the largest faunal groups have been
included. Results
ll The
ɑ2 757 marker is easily lost as a result of collagen degradation, a common problem for instance in the separation
of Ovis and Capra which is done on the basis of the same peptide46.h p
p p
Cervidae/Gazella/Saiga bones account for 54% of the ZooMS-IDed component for layer 15. This number
declines significantly in the overlying archaeological layers. In comparison, Bison/Yak, a taxonomic group that
contains the remains of steppe bison (Bison priscus) and the less common Baikal yak (Poёphagus mutus), continue Scientific Reports | (2021) 11:15457 | https://doi.org/10.1038/s41598-021-94731-2 www.nature.com/scientificreports/ Figure 3. Relative abundance of fauna identified using ZooMS per layer of the East Chamber of Denisova
Cave. This information can also be found in Supplementary Table 2. (A) The stratigraphy and corresponding
age ranges are highlighted with the most abundant fauna for each layer. The marine-oxygen isotope curve was
compiled from benthic δ18O records64; marine-oxygen isotope stages 3, 5, and 7 are highlighted in grey29. (B)
Each bar depicts the major taxa identified. Only the largest groups of fauna have been included, excluding small
mammals, “Unknown” identifications, and failed samples. Figure 3. Relative abundance of fauna identified using ZooMS per layer of the East Chamber of Denisova
Cave. This information can also be found in Supplementary Table 2. (A) The stratigraphy and corresponding
age ranges are highlighted with the most abundant fauna for each layer. The marine-oxygen isotope curve was
compiled from benthic δ18O records64; marine-oxygen isotope stages 3, 5, and 7 are highlighted in grey29. (B)
Each bar depicts the major taxa identified. Only the largest groups of fauna have been included, excluding small
mammals, “Unknown” identifications, and failed samples. to increase by percentage throughout the stratigraphic layers. Bison/Yak eventually account for 70% of the ZooMS
IDed fauna in layer 9.226 (Fig. 3; Supplementary Table 2). Main chamber. We carried out ZooMS analysis for 1,143 bones from layers 9–12 of the Main Chamber
(Table 1; Supplementary Table 3). Predators dominate the morphological assemblage, accounting for more than
30% of all identifiable bone for layers 9–12. In comparison, the dominant predators, Canidae, Crocuta/Panthera,
and Ursidae, make up only 5.5% of the ZooMS-IDed component. Our Crocuta/Panthera taxon likely includes
C. spelaea, although Panthera spelaea are also present in the earliest Pleistocene layers of the Main Chamber. Crocuta/Panthera dominate the morphological assemblage for layers 9–11, accounting for 9.4% of identifiable
bones (Fig. 2)29. Discussion
P tt
f f Patterns of faunal variability. ZooMS has previously been applied to larger microfauna assemblages and
older individual faunal samples47,48, yet our present work is the largest application of ZooMS to an assemblage of
fragmented bones with an archaeological association. The oldest archaeological layers we study here (layers 15
and 14) date to between 217 and 163 ka29. For layer 15, from which we analysed nearly 1000 bones, the success
rate was 86% (Supplementary Table 2). This is particularly encouraging and paves the way for the future analysis
of bone assemblages of similar biomolecular preservation and antiquity.if Significant differences in success rates were observed across layers and the three non-connecting chambers. Bones from the East Chamber were the most successful, however an average of 35% of samples from the youngest
Pleistocene contexts (layers 9.2 and 9.3) failed to produce enough collagen for ZooMS analysis. This high failure
rate is likely due to the heavy phosphatisation in the soil36,49 which has previously impeded OSL, radiocarbon
dating, and genetic analyses for these layers26,29. At present, it seems identifying fossils suitable for biomolecular
analysis from Upper Pleistocene contexts at Denisova Cave will continue to be challenging. This is unfortunate
given the persistent questions regarding which hominin populations were present in the Altai Mountains dur-
ing this period26. g
p
At Denisova Cave a high degree of bone fragmentation is observed overall. Of the 177,000 bones excavated at
the East Chamber more than 95% were less than 2–5 cm in length and could not be identified macroscopically29,31. Using ZooMS however, on average 74% of the fragmented bones we analysed could be assigned to a specific
ZooMS taxon and an additional 5% of samples that produced low quality spectra could be identified to family
or order levels. This contrast in identification success (< 5% identified morphologically versus ~ 80% based on
ZooMS) highlights once again the merits of large-scale application of ZooMS on highly fragmented archaeo-
logical assemblages. g
g
Bones analysed in this study from the Main Chamber were selected from the Upper Palaeolithic layers 9 and
11 (Supplementary Fig. 1), whereas bones from the South Chamber came from both Upper Palaeolithic layer 11
and Middle Palaeolithic layers 12 and 21. For the East Chamber, bones were selected from all major stratigraphic
units, from the early Middle Palaeolithic through to the Upper Palaeolithic layers (15–9), and the archaeologi-
cally sterile layer 17. Results
ll In the ZooMS-IDed component, Crocuta/Panthera account for 1.68% of the fragmented bones
for layers 9–11 making them the most commonly identified predators for these contexts. The morphological
assemblage identifies Canidae as the major predator group in layer 1229,34, however none were identified in the
ZooMS-IDed component for this context.hfii p
The major herbivore groups do not differ significantly between the morphological and ZooMS identified
fauna. Equidae, Ovis/Capra, and Cervidae/Gazella/Saiga are present in relatively large numbers in each dataset. Bison/Yak remains increase significantly within the ZooMS-IDed fauna, accounting for 35% of the assemblage,
more than four times the amount identified within the morphological bones (8.35%). South chamber. We analysed 822 bones from the South Chamber using ZooMS (Table 1; Supplementary
Table 4). Crocuta/Panthera, Canidae, and Ursidae are the dominant predator groups in the ZooMS fauna in
this Chamber. They account, however, for only 10.5% of this assemblage, three times less than predators in the
morphological assemblage (Fig. 2). Ursidae (Ursus (Spelaearctos) savini) account for 9.7% of the ZooMS-IDed
fauna for layer 11. Previous zooarchaeological analysis suggested the cave may have been used for hibernation
by the small cave bear (U. spelaearctos)32 which could explain the unusually high number of bear bones. Crocuta/
Panthera were the dominant predator group for the ZooMS-IDed fauna in layer 12, accounting for 2.7% of the
assemblage which is largely in line with dominant predator groups identified in the morphological assemblage. Bison/Yak (36.6%) and Equidae (10.3%) were the most common herbivores present within the ZooMS-IDed
component. https://doi.org/10.1038/s41598-021-94731-2 Scientific Reports | (2021) 11:15457 | www.nature.com/scientificreports/ Zooarchaeological analysis of bones from the South Chamber32,33 suggests intense predator presence for layers
9–12, in particular Crocuta/Panthera. Their bones are disproportionately represented in the morphologically
identifiable bones for South Chamber (n = 255), second only to Capra sp. remains, which are identified as the
likely prey for cave hyena and snow leopard32,33. Fragments of cave hyena coprolites were identified throughout
layers 9–12 of the South Chamber and many of the bones of prey taxa show traces of acid corrosion, indicat-
ing that they have passed through the digestive tracts of predators32,33. It is noteworthy that only 3.7% of bones
recovered from this part of the cave are larger than 5 cm33. We may hypothesize that this large degree of frag-
mentation is due to predation. Discussion
P tt
f f The majority of bones from the ZooMS-IDed component from all three chambers were the
remains of prey, suggesting that the formation of the assemblage is not entirely relegated to equifinality in that
some processes of the accumulation can be unravelled3,4. In the East Chamber, the earliest evidence for hominins
processing carcasses and modifying bone is present in layers 15 and 14 of the East Chamber which coincides with
the arrival of the first Denisovans to the site27,35,50. From this period lithic technologies are continuously present
throughout the contexts of this chamber and the layers studied for the Main and South chambers35,51. Alongside
hominins, previous zooarchaeological studies for Denisova Cave have highlighted the major role carnivores
likely played in the formation of the site’s fragmented bone assemblage30,33. Carnivore remains are found in all
contexts for the site but their behaviours are particularly visible in Upper Palaeolithic contexts with extensive
gnawing marks and digestion of bones likely by hyenas, panthers, leopards, and wolves31,33,35. The overlap and
relationship between hominins and predators at Denisova Cave has been investigated through multiple studies. While periods of intensive hominin presence are evident, particularly during the Early Middle and Middle Pal-
aeolithic contexts where anthropogenic marks are frequently found on bones29,31, evidence for other predators
at the site is continuously documented throughout the Palaeolithic30–33. l
f h
h
f
h
f
h
d h
h
h
d
l y
g
Recent analysis of the microstratigraphy of Denisova Cave has furthered this, showing that due to slow
sedimentation accumulation rates it is currently not possible to identify when predators like bears, wolves, and
hyaenas were occupying the cave as opposed to hominin groups like Denisovans and Neanderthals36. Rather, it
seems that many groups were alternating as the site’s main occupants throughout the Pleistocene32,36. Further
analyses of the bone assemblage, such as detailed taphonomic studies, bone refitting exercises and extensive dat-
ing of specific locations to assess the contemporaneity of various species at the site, will shed further light on this. Early evidence however suggests that at times hominins and other predators may have even benefited from each
other’s presence. Results
ll In turn, such a high concentration of carnivore processing could explain the low
level of protein preservation in this section of the cave; 28% of the fragmented remains analysed using ZooMS
failed to produce enough collagen for identification as opposed to 17% and 16% for the East and Main Chambers,
respectively (Fig. 1; Table 1; Supplementary Table 4). Faunal patterns and palaeoclimate. Faunal patterns and palaeoclimate. Recent work on building chronologies for the site using radiocar-
bon and optical dating26,29 has enabled the three chambers of Denisova Cave to be securely dated and cross-
correlated. As a result, stratigraphic contexts from separate sections of the site can now be attributed to specific
MIS stages and compared to one another. We identify several trends in the ZooMS-IDed component with ref-
erence to depositional age and the environmental conditions prevailing at the time. We note, for instance, that
despite the wide variety of taxa the Cervidae/Gazella/Saiga ZooMS identification encompasses, they remain in
relatively low abundance throughout the majority of the Pleistocene, except for the earliest layers which cor-
respond to MIS 9–7 (337–191 ka). The majority of bones from this phase were excavated in layer 15 of the East
Chamber which is attributed to MIS 7 and the Penultimate Interglacial, and coincides with the arrival of the first
Denisovans to the site27,35,50. Layers 15 and 14 of the East Chamber have the highest abundance of stone tools
of any other phase at Denisova Cave and a large proportion of humanly modified bone27,35. The morphological
assemblage from these layers is dominated by the remains of Siberian roe deer (19%) and red deer (10%) that
live in forest and grasslands29,31. Cervids were clearly favoured by these early Denisovans, an observation which
remains in stark contrast to the faunal record of all later phases documented at the site. Bison/Yak are the most abundant fauna for almost all subsequent (post-MIS 7) layers (Fig. 3; Supplementary
Tables 1, 2, and 3). Steppe bison and Baikal yak are known to have favoured more open, steppe and forest-steppe
environments31,55. Despite the expansion of forests during interglacial periods however, their remains continue
to dominate the ZooMS-IDed component at 39% (MIS 3) and 31% (MIS 5) (Fig. 3; Supplementary Tables 1, 2,
and 3). This suggests that rather than the environment being a driving force behind the abundance of fragmented
Bos and Bison bones, predators, likely hominins, were preferentially targeting them, mirroring a trend identified
in other Pleistocene assemblages analysed with ZooMS22. g
y
With regards to predators in the ZooMS-IDed component, Canidae are the dominant group for the majority
of the Pleistocene layers we studied. From MIS 9–4 their bones account for approximately 5% of the identified
remains in our study. Faunal patterns and palaeoclimate. They are found alongside smaller numbers of other predators, including Felidae and V. vulpes. Crocuta/Panthera remains are first identified in the ZooMS-IDed component in layer 15 and they have
been macroscopically identified in the morphological assemblage in layers covering the entire Pleistocene. The
majority of these bones are probably cave hyaena, however, smaller numbers of snow leopard and Eurasian cave
lion are also present throughout the stratigraphy29–34. Crocuta/Panthera become more common than Canidae
during MIS 5–3, alongside archaeological evidence of intensive carnivore presence during the same period, par-
ticularly in the South Chamber (Fig. 3; Supplementary Tables 1, 2, and 3). Bear remains are identified throughout
the Pleistocene layers of Denisova Cave both in the ZooMS-IDed component and the morphological assemblage. The extinct cave bears, U. savini, were mostly vegetarian, and used the cave for hibernation32,33. Animal size and impact on ZooMS‑based fauna patterns. Body mass and size class, assigned based
on previously published data56, probably play a disproportionate role in the number of taxa identified using
ZooMS. For instance, Elephantidae, Bison/Yak, and Rhinocerotidae remains, all within body class size 6, are
3–5 times more abundant in the ZooMS-IDed component than the morphological dataset (Fig. 2). Bison/Yak
remains are the most sensitive to this shift, accounting for only 6.3% of the morphological assemblage29–34 as
opposed to 31% of the ZooMS-IDed component. A normalisation of the dataset based on body mass is not easy
since it requires a high degree of confidence on other information, such as age and size of the targeted individu-
als, and carcass processing practices (e.g. transfer of specific body parts to the cave), which are unknown and/or
fluctuate through time in the case of Denisova Cave. l
g
In the case of mammoths, which were likely present in the Altai region in very small numbers and are not
considered to have been a major contributor to hominin diet57, their bones are three times more abundant in
the ZooMS identified megafauna (3.84% versus 1.08%). The only exception to this is the ratio of horse bones, for
which no significant change in the percentage of their remains exists between the zooarchaeological dataset29–34
and the ZooMS-IDed component. Faunal patterns and palaeoclimate. With these factors in mind, any tentative predictive model for the abundance
of large herbivores within a fragmented bone assemblage should consider both body class size and the likelihood
that some taxa targeted by hominins were processed both in situ and at the cave site. Discussion
P tt
f f The close stratigraphic relationship between carnivores and hominins at Denisova Cave and
our inability to specifically discern when these groups were dominant at the site may indicate the role scavenging
played at Denisova Cave, particularly in regards to cave hyaenas and wolves taking advantage of the intensive
hunting practices of Denisovans and Neanderthals36. Additionally, cut marked carnivore bones, particularly of
red and polar foxes52, suggests hominins might have been targeting them for their fur. This practice is common
in other Pleistocene sites in Russia, such as in the Kostenki region53,54.hf g
The most notable difference between the morphological assemblage and the ZooMS-IDed component of
Denisova Cave is the abundance of predators in comparison with herbivores. In the morphological assemblage
of all three chambers, on average, predator groups account for 30.2% of all identified bones29–34, whereas in the Scientific Reports | (2021) 11:15457 | https://doi.org/10.1038/s41598-021-94731-2 www.nature.com/scientificreports/ ZooMS-IDed component predators account for only 7.6%. This discrepancy helps to inform us of the main
factor influencing fragmentation rates at the site. Both the ZooMS ID-ed component and the morphological
assemblage suggest that carnivores were the driving force behind the high rate of herbivore bone fragmentation. Given that the hominin bones recovered so far are similarly fragmented to herbivore bones (none exceed a few
cm in length), we hypothesize that although humans were the main agent responsible for the accumulation and
initial dismembering, butchering, and fragmentation of (most) herbivores in the cave, a secondary agent, that
is carnivores such as hyenas, caused further processing and reduction in size of both animal and human bone
deposited there. This hypothesis is largely in line with archaeological evidence for the site, where bones and teeth
are frequently found with gnawing and digestion marks32,33. Methods Analysis was carried out at the ZooMS facility of the Department of Archaeology at the Max Planck Institute for
the Science of Human History (MPI-SHH), Jena, Germany and the Manchester Institute of Biotechnology at the
University of Manchester, UK. Samples analysed at the MPI-SHH followed published protocols using ammo-
nium bicarbonate as the means of collagen extraction after which failed samples were re-attempted following
acid soluble protocols23,58–61. Samples analysed at the University of Manchester followed published acid soluble
protocols60,61. These protocols have all been optimised for the analysis of COL1 for taxonomic identification
using ZooMS despite differences in initial protein extraction. The resulting spectra were screened for diagnostic
markers using flexAnalysis 3.4 (Bruker Daltonics) and mMass software62. The spectra were compared against
a reference library of known peptide markers21,23,63 which was informed further by previous zooarchaeological
analysis carried out at Denisova Cave29–34.hf y
Samples were analysed following established protocols. The ammonium bicarbonate buffer protocol23,58,59
involved sample rinsing in ammonium bicarbonate overnight and incubation for 1 h at 65 ℃. The supernatant
was treated with 0.4 µg trypsin (Thermo Scientific Pierce ™ Trypsin Protease) and allowed to digest at 37 ℃ for
18 h. The incubated samples were concentrated and desalted using C18 ZipTips (Thermo Scientific Pierce™ C18
Tips) and eluted in a final solution of 50 µl of 50% acetonitrile and 0.1% TFA. 0.5 µl of the resulting solution was
mixed with 0.5 µl of α cyano-4-hydroxycinnamic acid solution (10 mg/mL in 50% acetonitrile [ACN] and 0.1%
trifluoroacetic acid [TFA]) and allowed to crystallise. The samples were analysed using a Bruker Autoflex Speed
LRF MALDI ToF/ToF mass spectrometer. p
Samples analysed using acid soluble protocols25,60 were demineralised in 0.6 M hydrochloric acid (HCl) for
18 h. The supernatant was removed into 30 kDa molecular weight cut-off (MWCO) ultrafilters and centrifuged
at 3700 rpm for 1 h. The filtrate was then twice washed through with 500 μL of 50 mM ammonium bicarbonate
(AmBic) and further centrifuged at 3700 rpm for half an hour after each treatment. The final residue was resus-
pended with additional AmBic (200 μL), half of which was removed to create a backup sample set before diges-
tion. The remaining 100 μL was then treated with 0.2 μg trypsin (sequencing grade; Promega UK) and incubated
at 37 °C for 18 h. Methods The resulting solution was then diluted to 1:10 using TFA and mixed with a matrix solution of
1 μl of α-cyano-4-hydroxycinnamic acid solution (10 mg/mL in 50% ACN/0.1% TFA), allowed to crystallise and
analysed using a Bruker Ultraflex II MALDI ToF/ToF mass spectrometer. For samples identified as ovicaprids,
the tryptic peptide solution was further purified and fractionated using C18 Ziptips into 10% ACN and 50%
ACN fractions (both in 0.1% TFA) and further analysed using MALDI as described above. Conclusionsh The application of ZooMS at Denisova Cave highlights the potential of the method to elucidate early hunting
practices and adaptation to new environments. The new data expands our understanding of the site’s faunal
record and taphonomy, and the high success rate is illustrative of the potential of the method to other sites and
regions with comparable biomolecular preservation and to material of the same or even greater antiquity, extend-
ing further back into the Middle Pleistocene.fii g
Aside from its effectiveness in screening large numbers of bones for the identification of specific taxa, e.g. hominin fossils, ZooMS is complementary to traditional zooarchaeological practices as it allows a large part https://doi.org/10.1038/s41598-021-94731-2 Scientific Reports | (2021) 11:15457 | www.nature.com/scientificreports/ of the morphologically non-identifiable component to be diagnosed taxonomically. This is particularly true
at Denisova Cave where traditional zooarchaeological analyses identified less than 5% of the excavated fauna
versus ~ 80% identification success using ZooMS in this study.h i
g
y
The new data is also useful for elucidating the taphonomic history of the bones recovered from a site. In our
case, this is shown by the differences in prey-predator ratios in the ZooMS-IDed versus the morphologically-
identified assemblages. These differences reveal that the main influence in the fragmentation of herbivores/prey
bones at Denisova was two-fold and operated at different levels. Hominin processing of carcasses was the main
factor for the introduction, deposition and initial fragmentation of many of the herbivore and some of the car-
nivore bones at the site. This was followed by secondary and more extreme fragmentation, of both animal and
human bones, as a result of predator scavenging and gnawing. Data availability y
All ZooMS spectra for identified samples are available on Mendeley Data and are located in two databases. External Database 1: http://dx.doi.org/10.17632/5bwmbhs3fs.1. External Database 2: http://dx.doi.org/10.17632/
bgm2k6gt3j.1. All ZooMS spectra for identified samples are available on Mendeley Data and are located in two databases. External Database 1: http://dx.doi.org/10.17632/5bwmbhs3fs.1. External Database 2: http://dx.doi.org/10.17632/
bgm2k6gt3j.1. Received: 22 January 2021; Accepted: 15 July 2021 Received: 22 January 2021; Accepted: 15 July 2021 Referencesh 1. Brain, C. K. The Hunters Or the Hunted?: An Introduction to African Cave Taphonomy. (University of Chicago Press, 1983). 2. Villa, P. & Mahieu, E. Breakage patterns of human long bones. J. Hum. Evol. 21, 27–48 (1991).i ,
,
g p
g
J
,
3. Rogers, A. R. On equifinality in faunal analysis. Am. Antiq. 65, 709–723 (2000). g p
g
3. Rogers, A. R. On equifinality in faunal analysis. Am. Antiq. 65, 709–723 (2000 3. Rogers, A. R. On equifinality in faunal analysis. Am. Antiq. 65, 709–723 (2000). i
4. Lyman, R. L. Vertebrate Taphonomy. (Cambridge University Press, 1994). i
4. Lyman, R. L. Vertebrate Taphonomy. (Cambridge University Press, 1994). 5. Madgwick, R. & Mulville, J. Reconstructing depositional histories through bone taphonomy: Extending the potential of fauna
data. J. Archaeol. Sci. 53, 255–263 (2015). 6. Bonnichsen, R. Pleistocene Bone Technology in the Beringian Refugium. (University of Ottawa Press, 1979). 7. Bartram, Jr., E., L. & Marean, C. W. Explaining the ‘Klasies Pattern’: Kua ethnoarchaeology, the die
archaeofauna, long bone fragmentation and carnivore ravaging. J. Archaeol. Sci. 26, 9–29 (1999).h 7. Bartram, Jr., E., L. & Marean, C. W. Explaining the Klasies Pattern : Kua ethnoarchaeology, the die Kelders middle sto
archaeofauna, long bone fragmentation and carnivore ravaging. J. Archaeol. Sci. 26, 9–29 (1999).h g
g
g
g
8. Stiner, M. C. Honor Among Thieves a Zooarchaeological Study of Neandertal Ecology. (Princeton University Press, 1994)
k
l Th
ff
f
l f
h
l
b
f
b
l
h
h 9. Pokines, J. T. et al. The effects of experimental freeze-thaw cycles to bone as a component of subaerial weathering. J. Archae
Rep. 6, 594–602 (2016). p
0. Behrensmeyer, A. K. Taphonomic and ecologic information from bone weathering. Paleobiology 4, 150–162 (1978). y ,
p
g
g
gy ,
(
)
11. Madgwick, R. & Mulville, J. Investigating variation in the prevalence of weathering in faunal assemblages in the UK: A multivariate
statistical approach: Investigating variation in weathering in UK faunal assemblages. Int. J. Osteoarchaeol. 22, 509–522 (2012). 12. Marean, C. W. Measuring the post-depositional destruction of bone in archaeological assemblages. J. Archaeol. Sci. 18, 677–694
(1991). 11. Madgwick, R. & Mulville, J. Investigating variation in the prevalence of weathering in faunal assemblages in the UK: A multivariate
statistical approach: Investigating variation in weathering in UK faunal assemblages. Int. J. Osteoarchaeol. 22, 509–522 (2012). 12. Marean, C. W. www.nature.com/scientificreports/ B. Preliminary results for the balance of megafauna from pleistocene layers of the
east gallery, Denisova Cave. Probl. Archaeol. Ethnogr. Anthropol. Siberia Adjacent Territories 19, 32–38 (2013). 32. Vasiliev, S. K. & Shunkov, M. V. Large Pleistocene mammals in the southern gallery of Denisova Cave. Probl. Archaeol. Ethnogr. Anthropol. Siberia Neighboring Territories XV, 63–69 (2009). 32. Vasiliev, S. K. & Shunkov, M. V. Large Pleistocene mammals in the southern gallery of Denisova Cave. Probl. Archaeol. Eth
A th
l Sib i N i hb
i
T
it
i
XV 63 69 (2009) Anthropol. Siberia Neighboring Territories XV, 63–69 (2009). p
g
g
3. Vasiliev, S. K., Kozlikin, M. B. & Shunkov, M. V. Megafaunal remains from the upper portion of Pleistocene deposits in south
chamber of Denisova Cave. Probl. Archaeol. Ethnogr. Anthropol. Siberia Neighboring Territories 569 (2018).h 4. Agadjanian, A. K. & Serdyuk, N. V. The history of mammalian communities and paleogeography of the Altai Mountains in the
Paleolithic. Paleontol. J. 39, 645–821 (2005). 35. Shunkov, M. V., Kozlikin, M. B. & Derevianko, A. P. Dynamics of the Altai Paleolithic industries in the archaeological record of
Denisova Cave. Quat. Int. https://doi.org/10.1016/j.quaint.2020.02.017 (2020). Denisova Cave. Quat. Int. https://doi.org/10.1016/j.quaint.20 Cave. Quat. Int. https://doi.org/10.1016/j.quaint.2020.02.017 (2020 g
j
6. Morley, M. W. et al. Hominin and animal activities in the microstratigraphic record from Denisova Cave (Altai Mountains, Russia)
Sci. Rep. 9, 13785 (2019).ii 37. Buckley, M. et al. Species identification of archaeological marine mammals using collagen fingerprinting. J. Archaeol. Sci. 41,
631–641 (2014). 39. Krause, J. et al. A complete mtDNA genome of an early modern human from Kostenki, Russia. Curr. Biol. 20, 231–236 (2010). h
l
h
f
h
h
f
b
(
) 40. Reich, D. et al. Genetic history of an archaic hominin group from Denisova Cave in Siberia. Nature 468, 1053–1060 (2010). 1. Mednikova, M. B. A proximal pedal phalanx of a Paleolithic hominin from denisova cave, Altai. Archaeol. Ethnol. Anthropol
Eurasia 39, 129–138 (2011). 2. Bolikhovskaya, N. S. & Shunkov, M. V. Pleistocene environments of northwestern Altai: Vegetation and climate1. Archaeol. Ethnol
Anthropol. Eurasia 42, 2–17 (2014). 3. Baryshnikov, G. Large mammals and Neanderthal paleoecology in the Altai Mountains (Central Asia, Russia). Préhist. Eur. (1999)
k
l
l
d
l
l h
f
l
b
d
d
h 43. Baryshnikov, G. Large mammals and Neanderthal paleoecology in the Altai Mountains (Central Asia, Russia). Préhist. Eur. (1999). 44. www.nature.com/scientificreports/ Method Theory 24, 938–973 (2017).hi 20. Morin, E., Ready, E., Boileau, A., Beauval, C. & Coumont, M.-P. Problems of identification and quantification in arch
analysis, Part II: Presentation of an alternative counting method. J. Archaeol. Method Theory 24, 938–973 (2017).hi yi
qi
g
analysis, Part II: Presentation of an alternative counting method. J. Archaeol. Method Theory 24, 938–973 (2017).hi y
gh
y
21. Buckley, M., Collins, M., Thomas-Oates, J. & Wilson, J. C. Species identification by analysis of bone collagen using matrix-assisted
laser desorption/ionisation time-of-flight mass spectrometry. Rapid Commun. Mass Spectrom. 23, 3843–3854 (2009). h
1. Buckley, M., Collins, M., Thomas-Oates, J. & Wilson, J. C. Species identification by analysis of bone collagen using matrix-assisted l
2. Sinet-Mathiot, V. et al. Combining ZooMS and zooarchaeology to study Late Pleistocene hominin behaviour at Fumane (Italy)
Sci. Rep. 9, 12350 (2019).i 3. Welker, F. et al. Palaeoproteomic evidence identifies archaic hominins associated with the Châtelperronian at the Grotte du Renne
Proc. Natl. Acad. Sci. USA 113, 11162–11167 (2016). 24. Prüfer, K. et al. A high-coverage Neandertal genome from Vindija Cave in Croatia. Science 358, 655–658 (2017).ii 24. Prüfer, K. et al. A high-coverage Neandertal genome from Vin 25. Brown, S. et al. Identification of a new hominin bone from Denisova Cave, Siberia using collagen fingerprinting and mitochon
DNA analysis. Sci. Rep. 6, 23559 (2016). y
p
6. Douka, K. et al. Age estimates for hominin fossils and the onset of the Upper Palaeolithic at Denisova Cave. Nature 565, 640–644
(2019).ii 27. Brown, S. et al. Earliest evidence for Denisovans identified using peptide mass fingerprinting and mitochondrial DNA analys
Nat. Eco. Evol. (submitted).hf 28. Slon, V. et al. The genome of the offspring of a Neanderthal mother and a Denisovan father. Nature 561, 113–116 (2018). hf
29. Jacobs, Z. et al. Timing of archaic hominin occupation of Denisova Cave in southern Siberia. Nature 565, 594–599 (2019). 30. Vasiliev S.K., Shunkov M.V., Kozlikin M.B. Megafaunal remains from the eastern chamber of Denisova Cave and problems of
reconstructing the Pleistocene environments in the Northwestern Altai. in Problems of Archaeology, Ethnography, Anthropology
of Siberia and Neighboring Territories Vol. XXIII (2017). 30. Vasiliev S.K., Shunkov M.V., Kozlikin M.B. Megafaunal remains from the eastern chamber of Denisova Cave and problems of
reconstructing the Pleistocene environments in the Northwestern Altai. in Problems of Archaeology, Ethnography, Anthropology f
g
g
31. Vasiliev, S. K., Shunkov, M. V. & Kozlikin, M. www.nature.com/scientificreports/ Derevianko, A.P., et al.Paleoenvironment and Paleolithic Human Occupation of Gorny Altai: Subsistence and Adaptation in the
Vicinity of Denisova Cave. (SB RAS Press, 2003). 4. Derevianko, A.P., et al.Paleoenvironment and Paleolithic Human Occupation of Gorny Altai: Subsistence and Adaptation in the
Vicinity of Denisova Cave. (SB RAS Press, 2003). y f
5. Brown, S., Douka, K., Collins, M. & Richter, K. K. On the standardization of ZooMS nomenclature. J. Proteom. 104041 (2021). kl
l
h
b
h
l
l h
d
b
l
ll
d
h
l 5. ow , S.,
ou a,
., Co
s,
. & R c te ,
. . O t e sta da d at o o
oo
S o
e c atu e. J. roteom. 0 0
( 0
). 46. Buckley, M. et al. Distinguishing between archaeological sheep and goat bones using a single collagen peptide. J. Archaeol. Sci. 37,
13–20 (2010).i 7. Buckley, M., Harvey, V. L. & Chamberlain, A. T. Species identification and decay assessment of Late Pleistocene fragmentary
b
i
f
Pi H l C
(C
ll C
UK)
i
ll
fi
i
i
B
46 402 411 (2017) 47. Buckley, M., Harvey, V. L. & Chamberlain, A. T. Species identification and decay assessment of Late Pleistocene fragmentary
vertebrate remains from Pin Hole Cave (Creswell Crags, UK) using collagen fingerprinting. Boreas 46, 402–411 (2017). 47. Buckley, M., Harvey, V. L. & Chamberlain, A. T. Species identification and decay assessment of Late Pleistocene fragmen
vertebrate remains from Pin Hole Cave (Creswell Crags, UK) using collagen fingerprinting. Boreas 46, 402–411 (2017). 48. Rybczynski, N. et al. Mid-Pliocene warm-period deposits in the High Arctic yield insight into camel evolution. Nat. Commu 7. Buckley, M., Harvey, V. L. & Chamberlain, A. T. Species identification and decay assessment of Late Pleistocene fragmentary
vertebrate remains from Pin Hole Cave (Creswell Crags, UK) using collagen fingerprinting. Boreas 46, 402–411 (2017). 8 R b
ki N
l Mid Pli
i d d
i
i
h Hi h A
i
i ld i
i h i
l
l
i
N
C
4 i
8. Rybczynski, N. et al. Mid-Pliocene warm-period deposits in the High Arctic yield insight into camel evolution. Nat. Commun. 4
1550 (2013).h 49. Shunkov, M. V., Kulik, N. A., Kozlikin, M. B. & Sokol, E. V. The phosphates of Pleistocene–Holocene sediments of the Eastern
Gallery of Denisova Cave. Dokl. Earth Sci. (2018). Referencesh Measuring the post-depositional destruction of bone in archaeological assemblages. J. Archaeol. Sci. 18, 677–694
(1991). statistical approach: Investigating variation in weathering in UK faunal assemblages. Int. J. Osteoarchaeol. 22, 509–522 (2012). 12. Marean, C. W. Measuring the post-depositional destruction of bone in archaeological assemblages. J. Archaeol. Sci. 18, 677–694
(1991). (
)
13. Outram, A. K. A new approach to identifying bone marrow and grease exploitation: Why the ‘indeterminate’ fragments should
not be ignored. J. Archaeol. Sci. 28, 401–410 (2001). (
)
13. Outram, A. K. A new approach to identifying bone marrow and grease exploitation: Why the ‘indeterminate’ fragments should
not be ignored. J. Archaeol. Sci. 28, 401–410 (2001). https://doi.org/10.1038/s41598-021-94731-2 Scientific Reports | (2021) 11:15457 | www.nature.com/scientificreports/ www.nature.com/scientificreports/ 4. Morin, E. & Soulier, M.-C. New criteria for the archaeological identification of bone grease processing. Am. Antiq. 82, 96–122
(2017).hh 15. Théry-Parisot, I., Costamagno, S., Brugal, J.-P., Fosse, P. & Guilbert, R. The use of bone as fuel during the Palaeolithic, experim
study of bone combustible properties. Archaeol. Milk Fats 50–59 (2005). y
p
p
16. Bovy, K. M., Etnier, M. A., Butler, V. L., Campbell, S. K. & Shaw, J. D. Using bone fragmentation records to investigate co y
p
p
16. Bovy, K. M., Etnier, M. A., Butler, V. L., Campbell, S. K. & Shaw, J. D. Using bone fragmentation records to i
human ecodynamics: A case study from Čḯxwicən (Washington State, USA). J. Archaeol. Sci. Rep. 23, 1168–118 16. Bovy, K. M., Etnier, M. A., Butler, V. L., Campbell, S. K. & Shaw, J. D. Using bone fragmentation records to investigate coastal
human ecodynamics: A case study from Čḯxwicən (Washington State USA) J Archaeol Sci Rep 23 1168 1186 (2019) human ecodynamics: A case study from Čḯxwicən (Washington State, USA). J. Archaeol. Sci. Rep. 23, 1168–1186 (2019). G
S M li
F & Sj
A Th
i l
i
i
f b
fti
d
i
h
iddl
d l
M
li hi
Ri 7. Gummesson, S., Molin, F. & Sjöström, A. The spatial organization of bone crafting during the middle and late Mesolithic at Ring
sjöholm and Strandvägen in Sweden. J. Field Archaeol. 44, 165–179 (2019).h j
g
8. Smith, A. B. & Poggenpoel, C. The technology of bone tool fabrication in the south-western Cape, South Africa. World Archaeol
20, 103–115 (1988).ii 9. Morin, E., Ready, E., Boileau, A., Beauval, C. & Coumont, M.-P. Problems of identification and quantification in archaeozoologica
analysis, Part I: Insights from a blind test. J. Archaeol. Method Theory 24, 886–937 (2017).ii 9. Morin, E., Ready, E., Boileau, A., Beauval, C. & Coumont, M.-P. Problems of identification and quantification in archaeozoologica
analysis, Part I: Insights from a blind test. J. Archaeol. Method Theory 24, 886–937 (2017).ii y
gh
y
20. Morin, E., Ready, E., Boileau, A., Beauval, C. & Coumont, M.-P. Problems of identification and qua
analysis, Part II: Presentation of an alternative counting method. J. Archaeol. Method Theory 24, 9 n, E., Ready, E., Boileau, A., Beauval, C. & Coumont, M.-P. Problems of identification and quantification in archaeozoological
sis, Part II: Presentation of an alternative counting method. J. Archaeol. www.nature.com/scientificreports/ www.nature.com/scientificreports/ gy y
p
y
f
p
ff jj
60. van der Sluis, L. G. et al. Combining histology, stable isotope analysis and ZooMS collagen fingerprinting to investigate the
taphonomic history and dietary behaviour of extinct giant tortoises from the Mare aux Songes deposit on Mauritius. Palaeogeogr. Palaeoclimatol. Palaeoecol. 416, 80–91 (2014). 1. Brown, S. et al. Zooarchaeology by Mass Spectrometry (ZooMS) for Bone Material—Acid Soluble Protocol. (protocols.io.bf5bjq2n)
(2020) 2. Strohalm, M., Hassman, M., Kosata, B. & Kodícek, M. mMass data miner: An open source alternative for mass spectrometric data
analysis. Rapid Commun. Mass Spectrom. 22, 905–908 (2008).i y
p
p
3. Buckley, M. & Kansa, S. W. Collagen fingerprinting of archaeological bone and teeth remains from Domuztepe, South Eastern
Turkey. Archaeol. Anthropol. Sci. 3, 271–280 (2011). y
p
,
(
)
64. Lisiecki, L. E. & Raymo, M. E. A Pliocene–Pleistocene stack of 57 globally distributed benthic δ18O records. Paleoceanography 20
(2005). Author contributions S.B., N.W., A.O., D.C., B.J.S., V.L.H., M.B. performed the laboratory work; S.B., N.W., A.O., B.J.S., V.L.H., M.P.C. analyzed the data; S.B.. created the figures; M.K., M.S., A.D. provided the samples and site-specific expertise;
K.D. and T.H. designed the study; S.B. and K.D. wrote the manuscript with the assistance and input of all authors. Acknowledgements g
We would like to thank the European Research Council, the Max Planck Society, the Oxford Radiocarbon Accel-
erator Unit (ORAU), the University of Manchester and Manchester Institute of Biotechnology, and the Institute
of Archeology and Ethnography, Russian Academy of Sciences Siberian Branch for their ongoing support. We
would like to thank our volunteers (Miriam Jenkins, Esther Gillespie, Lauren Bell, Marine Caldarola, Raija
Heikkila, Laura Doody, Saltanat Amirova, Geoff Church, Lucy Koster, Rachael Holmes, Luke Ghent, Phoebe
Ewles-Bergeron, Nicholas Siemens, Marion Sandilands, and Julianna Zavodski) who helped sample the material
as well as Sandra Heberstreit, Jana Zech, and Kristine Richter for discussions and help in the laboratory. Funding g
Open Access funding enabled and organized by Projekt DEAL. This work has received funding from the ERC
under the European Union’s Horizon 2020 Research and Innovation Programme, grant agreement no. 715069
(FINDER) to KD and under the European Union’s Seventh Framework Programme (FP7/2007–2013), grant
agreement no. 324139 (PalaeoChron) to TH. This project was supported further through the Royal Society and
research fellowship funding to MB (UF120473) and the archaeological field studies were funded by the Russian
Foundation for Basic Research (no. 18-09-40100 and 20-29-01011). Many thanks also go to the University of
Manchester for the Dean’s Award Scholarship funding to VLH. Competing interests h p
g
The authors declare no competing interest. www.nature.com/scientificreports/ l
l
d
l
d
f
l
d
(
) y
50. Slon, V. et al. Neandertal and Denisovan DNA from Pleistocene sediments. Science 356, 605–608 (2017). k
h
k
f h
l
l h
d
h
l
h
l
h 51. Derevianko, A. P. & Shunkov, M. V. Formation of the Upper Paleolithic traditions in the Altai. Archaeol. Ethnol. Anthropol. Eurasia
12–40 (2004). 52. Vasiliev, S. A. Faunal exploitation, subsistence practices and Pleistocene extinctions in Paleolithic Siberia. Deinsea 9, 513–556
(2003). (
)
3. Vereshchagin, N. K. & Kuzmina, I. E. Remains of mammals from the Palaeolithic sites on the Don and upper Desna. Trudy Zool
Inst. AN SSSR 72, 77–110 (1977). 54. Borgia, V. Hunting high and low: Gravettian hunting weapons from Southern Italy to the Russian Plain. Open Archaeol. 3, 376–391
(2017). 55. Vasiliev, S. K. Late Pleistocene Bison (Bison p. priscus Bojanis, 1827) from the southeastern part of Western Siberia. Archaeol.,
Ethnol. Anthropol. Eurasia 34, 34–56 (2008). p
6. Smith, F. A. et al. Body mass of late Quaternary mammals. Ecology 84, 3402 (2003). p
56. Smith, F. A. et al. Body mass of late Quaternary mammals. Ecology 84, 3402 (2003). y
y
gy
57. Agadjanian, A. K. & Shunkov, M. V. Late Pleistocene mammals of the Northwestern Altai: Report 2. Charysh Basin. Paleontol. J. 52, 1461–1472 (2018). (
)
8. van Doorn, N. L., Hollund, H. & Collins, M. J. A novel and non-destructive approach for ZooMS analysis: Ammonium bicarbonate
buffer extraction. Archaeol. Anthropol. Sci. 3, 281 (2011). https://doi.org/10.1038/s41598-021-94731-2 Scientific Reports | (2021) 11:15457 | Additional informationh Additional information
Supplementary Information The online version contains supplementary material available at https://doi.org/
10.1038/s41598-021-94731-2. Correspondence and requests for materials should be addressed to S.B. or K.D. Reprints and permissions information is available at www.nature.com/reprints. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and
nstitutional affiliations. Open Access This article is licensed under a Creative Commons Attribution 4.0 International
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the
Creative Commons licence, and indicate if changes were made. The images or other third party material in this
article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. https://doi.org/10.1038/s41598-021-94731-2 Scientific Reports | (2021) 11:15457 |
|
https://openalex.org/W4200179263
|
https://bmcoralhealth.biomedcentral.com/track/pdf/10.1186/s12903-021-02019-8
|
English
| null |
Radiographic evaluation of a cross-shaped incision technique for thick-gingiva and thin-gingiva patients treated with implant-supported fixed prosthesis
|
BMC oral health
| 2,021
|
cc-by
| 6,113
|
© The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco
mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Luo et al. BMC Oral Health (2021) 21:655
https://doi.org/10.1186/s12903-021-02019-8 Luo et al. BMC Oral Health (2021) 21:655
https://doi.org/10.1186/s12903-021-02019-8 Open Access Abstract Background: To evaluate a cross-shaped incision technique for thick-gingiva and thin-gingiva patients treated with
implant-supported fixed prosthesis. Methods: Total 55 patients receiving cross-shaped incision were assigned into thick-gingiva group (29 cases) and
thin-gingiva group (26 cases). Follow-up was performed at 3 and 12-month after final restoration. Results: Mesial and distal papilla height was significantly greater in thick-gingiva group than thin-gingiva group at
3 and 12 months, while periodontal depth and crestal marginal bone level around implant had no significant differ-
ence between the two groups during follow-up. No case of recession of buccal marginal gingiva was observed in
thick-gingiva group. However, the recession of marginal gingiva of buccal aspect of the crown was found in 5 patients
(19.2%) with thin-gingiva. Conclusions: The cross-shaped incision may be applied to reconstruct gingival papillae and avoid the gingival reces-
sion in patients with thick-gingiva phenotype. Trial registration This study was registered at ClinicalTrials.gov (registration number NCT04706078, date 12 January
2021, Retrospectively registered). Keywords: Cross-shaped incision, Gingiva, Recession of marginal gingiva, Implant, Fixed prosthesis the gingival shrinkage [1]. Food impaction includes verti-
cal (the forceful wedging of food into the interproximal
space by masticatory pressure) and horizontal (the forc-
ing of food interproximally by tongue or cheek pressure)
food impaction [2].hi Radiographic evaluation of a cross‑shaped
incision technique for thick‑gingiva
and thin‑gingiva patients treated
with implant‑supported fixed prosthesis Wen Luo1,2, Xinyu Wang1, Yaqian Chen1, Yuping Hong1, Yili Qu1, Yi Man1* and Yingying Wu1* Background Dental implant has been successfully used to restore
missing teeth. However, food impaction at the implant
site is considered as a common complication in patients
with implant prostheses. Food impaction is the phenom-
enon in the chewing when the food dregs or fibers are
pushed into the clearance by occlusal force or owing to The loss of interproximal contact between fixed
implant prostheses and adjacent teeth is the main issue
of vertical food impaction, which can be solved through
occlusal adjustment, re-making of the prosthesis, inlay-
crown or full crown of adjacent teeth [3]. Horizontal food
impaction is mostly caused by the absence of interproxi-
mal papilla, which leads to the abnormal space under
the proximal connection [1, 4, 5]. Sometimes gingival *Correspondence: 364662698@qq.com; yywdentist@163.com
1 State Key Laboratory of Oral Diseases and National Clinical Research
Center for Oral Diseases, West China Hospital of Stomatology, Sichuan
University, No.14, Sec.3, Renminnan Road, Chengdu 610041, Sichuan,
China Inclusion criteria 1. Good general health, no chronic systemic diseases. 2. All subjects included in this study needed to have
one missing premolar or molar teeth with adjacent
natural teeth. 3. All subjects included in this study had been treated
with one bone-level implant insertion in the pre-
molar or molar region. The patients had insufficient
gingival papilla height (referred to contralateral natu-
ral tooth which also had insufficient gingival papilla
height) and at least 2 mm of keratinized tissue width
around the implant. Various treatment plans and techniques have been
proposed to restore the deficient papilla. Hard tissue
augmentation during implant placement was suggested
as an effective method to obtain desired inter-dental/
inter-implant papillae [7]. Orthodontic procedures are
proposed to enhance hard tissue profiles and improve
the papillae height [8]. Both surgical and orthodontic
management is designed to create the papillae in the pre-
surgical or surgical phase. If there is a deficit of papillae
during the stage-two surgery, then soft tissue grafting
or vascularized interposition periosteal-connective tis-
sue (VIP-CT) flap was recommended [9–11]. However,
the management would be a great challenge to clini-
cians in posterior position. Therefore, a provisional res-
toration with proper emergence profile has been widely
accepted as the treatment to reconstruct papillae around
implant, although the bone may recede more from com-
posite resin than a titanium surface [12]. In addition, the
pressure against the peri-implant soft tissue may cause
discomfort to patients [7]. Therefore, the cross-shaped
incision across gingival sulcus could be considered as
an effective and simple way for reducing the soft tissue
resistance to seat the restoration with implant-supported
fixed prosthesis. The cross-shaped incisions went directly
to the bone surface. The length of the cross-shaped inci-
sions was 1–2 mm in keratinaized gingiva.hf Samples and groupsi Fifty-five subjects were selected from the patients who
need treatment with a cross-shaped incision technique
of the Department of Oral Implantology, West China
Hospital of Stomatology, Sichuan University in China
between June 2018 and June 2020. Patients were divided into two groups according to the
gingival phenotype determined by a periodontal probe. After the insertion of the probe into the facial aspect of
the sulcus through the gingival margin, the simple visual
method is based on the transparency of the periodon-
tal probe through the gingival margin while probing the
buccal sulcus at the midfacial aspect of the tooth. When
the outline of the underlying periodontal probe can be
seen through the gingival, the gingival phenotype is con-
sidered thin. The gingival phenotype is thick in the other
case. When the crown shape protrusion is not obvious,
the main direction of the probe is parallel to the long axis
of the tooth. The peri-implant phenotype was catego-
rized as thin-gingiva (26 cases, outline of the probe can
be seen through the gingiva) or thick-gingiva (29 cases,
outline of the probe cannot be seen through the gingiva)
(Fig. 1) [13]. This study aimed to investigate whether different gin-
gival phenotypes have the same ability to recover from
surgical injury, and we evaluated a cross-shaped inci-
sion technique for thick-gingiva and thin-gingiva patients
treated with implant-supported fixed prosthesis. Luo et al. BMC Oral Health (2021) 21:655 Luo et al. BMC Oral Health (2021) 21:655 Page 2 of 8 the patients signed informed consent before the implant
surgery. incising (such as a cross-shaped incision) is necessary to
reduce the soft tissue resistance to seat the restoration. Surgical injury may lead to gingival recession and the
absence of interproximal papilla. Gingival phenotype,
divided into thin or thick gingiva, affects the dimension
of the periodontal tissue. A thick phenotype is prone to
pocket formation, while a thin phenotype is prone to gin-
gival recession following mechanical or surgical manipu-
lation [6]. The regeneration or reconstruction of gingival
papillae is a challenge to clinicians. Methods
Study designh The present study was performed in accordance with the
World Medical Association Declaration of Helsinki and
was approved by Ethics Committee of West China Hospi-
tal of Stomatology, Sichuan University, China (Approval
No. 2009033). The study adheres to CONSORT guide-
lines and is registered in the ClinicalTrials.gov (regis-
tration number NCT04706078, date 12 January 2021,
https://clinicaltrials.gov/ct2/show/NCT04706078). All 1. Active periodontal infections. 1. Active periodontal infections. 2. Heavy smoking (> 10 cigarettes per day). Clinical follow‑up Fig. 1 The phenotype of gingiva determined by a periodontal probe All patients in this study accepted oral hygiene instruc-
tion at each visit. All patients were examined at 3-month
and 12-month after final restoration (Fig. 2g, h) for the
following examinations: 1. Presence/absence of papilla height was assessed visu-
ally according to the papilla index proposed by Jemt
[14]. 2. Modified Plaque Index (mPI): plaque accumulation
around the marginal peri-implant tissue was assessed
by the criteria of mPI [15].i 3. Modified Sulcus Bleeding Index (mBI): the bleed-
ing tendency of the marginal peri-implant tissue was
evaluated using mBI [15]. 4. Probing Depth (PD, mm): PD was assessed at the
mid-buccal, mid-oral, mesial and distal aspects of the
buccal surfaces of each implant with a standard peri-
odontal probe, and final value was determined by the
average of four aspects. crown after 3-6 months of healing. Titanium abutments
with the lowest gingival height (1–1.5 mm) were selected,
and all of the crowns were made of zirconia. Platform
switching which referred to the use of a smaller diameter
abutment on a larger diameter implant collar was used in
all the implants. 5. Gingival margin level (GML): gingival margin level
was assessed by calculating the vertical distance
between the most apical point of gingival mar-
gin at the buccal aspect of the crown and line con-
necting the peak of the adjacent mesial and distal
natural teeth (PMD) [16]. The length of the natural
crown next to the implant supported restoration was
recorded to correct any changes in magnification
(Fig. 3). 5. Gingival margin level (GML): gingival margin level
was assessed by calculating the vertical distance
between the most apical point of gingival mar-
gin at the buccal aspect of the crown and line con-
necting the peak of the adjacent mesial and distal
natural teeth (PMD) [16]. The length of the natural
crown next to the implant supported restoration was
recorded to correct any changes in magnification
(Fig. 3). Two weeks later, the try-in was carried out after the
fabrication of a definitive abutment and crown. The pro-
cedures were as follows: the patients were given 1 ml
articaine for local infiltration anesthesia. The healing
abutment was disconnected, and the cross-shaped inci-
sion was made at the buccal, lingual, mesial and distal
aspects across the gingival sulcus using 12# blade. The
cross-shaped incisions went directly to the bone surface. Proceduresh The bone-level implants were placed 1 mm below the
alveolar bone level according to the manuals. The trial
started at 3–6 months after the one-stage surgery. Impression was taken for the fabrication of definitive Luo et al. BMC Oral Health (2021) 21:655 Page 3 of 8 Radiographic follow‑up
l
d
h Periapical radiographs of the implant-supported crown
was taken using the parallel photographing technique at
each recall examination. To be specific, the landmarks of
first bone-implant contact (fBIC) and implant shoulder
(IS) were used for measurements. fBIC-IS was defined
as the vertical distance the first bone-implant contact to
implant shoulder, and the distance was assessed at the
mesial and distal aspect of implant, respectively. When
the marginal crestal bone was located coronal to the IS,
a positive (+) value was given, where a negative (–) value
when located apically to the IS, the value was deemed as
zero when IS and fBIC coincided. The crestal bone level
at the time of impression taking was regarded as baseline
(Fig. 4). The known implant length was used for the cali-
bration of dimensional distortion in the radiograph (the
length of implant was 10 mm in Fig. 4). Clinical follow‑up The length of the cross-shaped incisions was 1–2 mm
in keratinaized gingiva (Fig. 2a, b). X-ray was taken to
make sure that the abutment and crown were properly
seated after try-in of definitive abutments and crowns
(Fig. 2c, d). The crown was cleaned after occlusal adjust-
ment. Then screw of the abutment was tightened with a
torque nearly 35 N cm using the screw driver connected
to a torque wrench. Before bonding of the crown, exu-
dation in gingival sulcus was stopped by cotton balls
for about 1 h. Various methods were used to minimize
excess cement extrusion into the peri-implant tissue. Customized abutment replica was made of acrylic resin
before the cement. The crown was inserted onto the rep-
lica, permitting the extrusion of excess cement (Fig. 2e). The crown was placed onto the abutment (Fig. 2f). Den-
tal floss was positioned mesial and distal surfaces of the
prosthesis in order to remove the excessive cement after
clotting. Antibiotic and anti-inflammatory drugs were
not recommended. The patients were requested not to
brush the surgical area in 24 h. Chlorhexidine mouth-
wash was routinely used to maintain good oral hygiene
after surgery and crown placement. Statistical analysis
Th
l The statistical analysis was performed using Graph-
Pad Prism 6.0 program. The data were presented as Luo et al. BMC Oral Health (2021) 21:655 Page 4 of 8
Luo et al. BMC Oral Health (2021) 21:655
Fig. 2 Clinic procedures for patients subjected to cross-shaped incision. a Buccal view of implant sites; b Cross-shaped incision was made across
gingival sulcus after the disconnection of healing abutments; c Buccal view of the cross-shaped incision with definitive abutment; d X-ray was taken
to make sure the abutment and crown were properly seated; e Customized resin abutment was made; f Buccal view of free gingival around implant
after final restoration; g Buccal view of gingival papilla around implant 3 months after final restoration; h Buccal view of gingival papilla around
implant 12 months final restoration Page 4 of 8 Fig. 2 Clinic procedures for patients subjected to cross-shaped incision. a Buccal view of implant sites; b Cross-shaped incision was made across
gingival sulcus after the disconnection of healing abutments; c Buccal view of the cross-shaped incision with definitive abutment; d X-ray was taken
to make sure the abutment and crown were properly seated; e Customized resin abutment was made; f Buccal view of free gingival around implant
after final restoration; g Buccal view of gingival papilla around implant 3 months after final restoration; h Buccal view of gingival papilla around
implant 12 months final restoration Results MAP: the most apical point
of the gingival margin at the buccal aspect of the crown; PMD: the
line connecting the peak of the adjacent mesial and distal natural
teeth (PMD); GML: the distance from MAP to PMD; Magnification: the
length of the natural crown next to the implant supported prosthesis
was recorded to correct any changes in magnification △ Significant difference (P < 0.05) between 3 months or 12 months and baseline Fig. 4 Schematic drawing illustrating the landmarks used for
periapical radiographs measurement. IS: implant shoulder; fBIC: first
bone-implant contact; a the vertical distance the first bone-implant
contact to implant shoulder measured from radiograph. b Implant
length. x (fBIC-IS): the real vertical distance the first bone-implant
contact to implant shoulder and sample characteristics were presented in Table 1. All patients were treated with implants placement in
posterior areas. Three months after final restoration,
all implants showed stable osseointegration with the
absence of pain or inflammation, the absence of peri-
implant radiolucency, and the absence of screw or crown
loosening. There was no complain in both thick-gingiva
group and thin-gingiva group. The Jemt parameters of soft tissue were listed in
Table 2. In thick-gingiva group, both mesial and distal
papilla filled more than half of the proximal space and
in good harmony with the adjacent papillae 3 months
after restoration; and the papilla height didn’t change
significantly over one year. Although the score of papil-
lae height in thin-gingiva group was lower than thick-
gingiva group, there was no statistical difference between
two groups (P > 0.05). From 3 to 12-month visit, the score
of mPI and mBI decreased slightly in both thin-gingiva
group and thick-gingiva group, but the change didn’t
show significant difference (P > 0.05). At 3-month visit,
the PD in thin-gingiva group and thick-gingiva group was
2.16 ± 0.42 mm and 2.18 ± 0.41 mm, respectively, which
remained almost the same from 3 to 12-month visit in
both groups (P > 0.05). Fig. 4 Schematic drawing illustrating the landmarks used for
periapical radiographs measurement. IS: implant shoulder; fBIC: first
bone-implant contact; a the vertical distance the first bone-implant
contact to implant shoulder measured from radiograph. b Implant
length. x (fBIC-IS): the real vertical distance the first bone-implant
contact to implant shoulder Fig. 4 Schematic drawing illustrating the landmarks used for
periapical radiographs measurement. Results means ± standard deviations (SD), the differences
between thin-gingiva group and thick-gingiva group
were compared using the paired t test. A difference was
considered significant if the P value was < 0.05. During the study period, a total of 55 patients were
included. Patients were grouped into 2 groups accord-
ing to gingival phenotype. Detailed demographic data Luo et al. BMC Oral Health (2021) 21:655 Page 5 of 8 Fig. 3 Schematic drawing illustrating the landmarks used for the
measurement of gingival marginal level. MAP: the most apical point
of the gingival margin at the buccal aspect of the crown; PMD: the
line connecting the peak of the adjacent mesial and distal natural
teeth (PMD); GML: the distance from MAP to PMD; Magnification: the
length of the natural crown next to the implant supported prosthesis
was recorded to correct any changes in magnification Table 2 Clinical Jemt parameters of soft tissue from 3 to
12 months
Data were presented as means ± standard deviations (SD)
*Significant difference (P < 0.05) between thin-gingiva group and thick-gingiva
group;
△ Significant difference (P < 0.05) between 3 months or 12 months and baseline
Parameters
Follow-up
(months)
Thin-gingiva Thick-gingiva P value
Mesial papilla 3
12
2.62 ± 0.62
2.41 ± 0.63
2.77 ± 0.66
2.54 ± 0.58
0.39
0.45
Distal papilla
3
12
2.52 ± 0.64
2.31 ± 0.66
2.69 ± 0.68
2.42 ± 0.58
0.33
0.51
mPI (mm)
3
12
0.89 ± 0.79
1.04 ± 0.84
1.04 ± 0.82
0.88 ± 0.65
0.51
0.47
mBI(mm)
3
12
0.61 ± 0.74
0.75 ± 0.88
0.77 ± 0.95
0.65 ± 0.80
0.49
0.68
PD (mm)
3
12
2.16 ± 0.42
1.94 ± 0.47
2.18 ± 0.41
2.07 ± 0.45
0.81
0.29
GML(mm)
Baseline
7.59 ± 1.24
7.17 ± 1.26
–
3
8.23 ± 1.26△
7.53 ± 1.29
0.008*
12
9.01 ± 1.30△
8.35 ± 1.48
0.04* Table 2 Clinical Jemt parameters of soft tissue from 3 to
12 months Fig. 3 Schematic drawing illustrating the landmarks used for the
measurement of gingival marginal level. Data were presented as means ± standard deviations (SD) Discussionh with thick-gingival phenotype. In thick-gingiva group,
the GML remained stable during the whole follow-up
period, there has no obvious change about the GML
from baseline to 12-month visit (P > 0.05). According to
clinical examinations, the recession of marginal gingiva
of buccal aspect of the crown was found in 5 patients
with thin-gingiva during the follow-up period (Fig. 5).h with thick-gingival phenotype. In thick-gingiva group,
the GML remained stable during the whole follow-up
period, there has no obvious change about the GML
from baseline to 12-month visit (P > 0.05). According to
clinical examinations, the recession of marginal gingiva
of buccal aspect of the crown was found in 5 patients
with thin-gingiva during the follow-up period (Fig. 5).h The purpose of this study was to evaluate clinical and
radiographic manifestations of a cross-shaped incision
technique for thick-gingiva and thin-gingiva patients
treated with implant-supported fixed prosthesis. Our
study demonstrated that papillae filled more than half of
the proximal space, in good harmony with the adjacent
papillae in both thin-gingiva and thick-gingiva groups. In
our study, zirconia crowns were fabricated and cemented
to abutments with the lowest gingival height. Welander
et al. demonstrated an apical shift of the barrier epithe-
lium and the marginal bone around AuPt-alloy, where
the soft tissue dimensions remained stable around Ti and
ZrO2 abutments [17]. Kajiwara et al. demonstrated that
greater blood flow was detected around zirconia abut-
ment group compared to the titanium abutment or cast-
to-abutment in free gingiva [18]. And we proposed that
zirconia crowns may promote microcirculatory dynamics
in soft tissue and be beneficial for the bone remodeling
around implant.l The change of peri-implant hard tissue was shown
in Table 3. Implant was inserted into the maxillae or
mandible located coronal to the IS, and there has no
difference in fBIC-IS between thin-gingiva group and
thick-gingiva group. The mean fBIC-IS in thin-gingiva
group decreased from 0.40 ± 0.95 at 3-month visit to
-0.02 ± 1.01 at 12-month visit; and the value in thick-
gingiva group decreased from 0.29 ± 0.59 in 3-month
visit to -0.11 ± 0.63 at 12-month visit (P < 0.05). Although both thin-gingiva group and thick-gingiva
group showed slight marginal bone resorption, there
has no significant difference between thin-gingiva
group and thick-gingiva group (P > 0.05). Results IS: implant shoulder; fBIC: first
bone-implant contact; a the vertical distance the first bone-implant
contact to implant shoulder measured from radiograph. b Implant
length. x (fBIC-IS): the real vertical distance the first bone-implant
contact to implant shoulder Table 1 Demographic data of the patients
Data were presented as means ± standard deviations (SD)
Demographics
Thin-gingiva
Thick-gingiva
Patients (n)
29
26
Age range (years)
24–58
21–62
Mean ± SD
40.14 ± 10.75
38.69 ± 11.06
Sex (n: femal/male)
13/16
15/11
Implant location
(n: maxilla/madible)
18/11
14/12 Table 1 Demographic data of the patients The GML on the buccal aspect of the crown was
assessed by the distance from TBF to PMD. Table 2
showed that at 3-month or 12-month visit, GML in
thin-gingiva group increased significantly compared to
the baseline (P < 0.05), higher than the GML in patients Luo et al. BMC Oral Health (2021) 21:655 Luo et al. BMC Oral Health (2021) 21:655 Page 6 of 8 Page 6 of 8 Page 6 of 8 △ Significant difference (P < 0.05) between 3 months or 12 months and baseline Discussionh Compared with thin-gingiva group, GML did
not change from baseline to the 12-month visit in thick-
gingiva group, indicating consistent stability of the gin-
gival margin after the cross-shaped incision of gingival
sulcus around the crown in patients with thick-gingival
phenotype. Author details
1 Based on these results, the zirconia crown is beneficial
for the reconstruction of gingival papillae by promoting
microcirculatory dynamics in soft tissue around implant. The gingival margin remained stable in patients with
thick phenotype gingiva after the cross-shaped incision
of gingival sulcus around the crown. The cross-shaped
incision has several advantages. It is visible to check the
proper placement of crowns and easy to clean excessive
cement with the slight lift of incised gingiva. The limi-
tation for cross-shaped incision is that the recession of
marginal gingiva where the incision is made may hap-
pen in thin-gingiva group. The patients included must
have at least 2 mm of keratinized tissue width around the 1 State Key Laboratory of Oral Diseases and National Clinical Research Center
for Oral Diseases, West China Hospital of Stomatology, Sichuan University,
No.14, Sec.3, Renminnan Road, Chengdu 610041, Sichuan, China. 2 Depart-
ment of Stomatology, The First Affiliated Hospital of Hainan Medical University,
Haikou 570102, China. Received: 8 July 2021 Accepted: 10 December 2021 Availability of data and materials The datasets used and/or analysed during the current study are available from
the corresponding author on reasonable request. Declarations Marginal crestal bone in both thin-gingiva and thick-
gingiva groups was located coronal to the IS at the begin-
ning, then decreased slightly during the following year, in
accordance with the results of other studies [21, 22]. The
stability of marginal bone may be due to the protection
of soft tissue barrier, which serves as a protective seal for
the adjacent periodontium [23]. Furthermore, “platform
switching” was used in all the implants, which may result
in less marginal bone resorption [24, 25]. In turn, the
underlying bone provides the support of gingival tissue
[6, 26]. Conclusionh The cross-shaped incision may be applied to reconstruct
gingival papillae and avoid the gingival recession in
patients with thick-gingiva phenotype. For the patients
with thin-gingival phenotype, a modified method aimed
to reconstruct gingival papillae and avoid the gingival
recession need further study. Authors’ contributions
C
l
Q Conceptualization: YM, YQ, YW, WL. Data curation: XW, YC. Investigation: YH. Supervision: YM. All authors read and approved the manuscript. Funding This study was funded by Hainan Natural Science Foundation of China (No. 818MS142) and The National Key Research and Development Program of
China (No. 2016YFC1102700). The funder played no role in the design and
execution of this study. Consent for publication
Not applicable. Consent for publication
Not applicable. Discussionh Moreover, securing a rich blood flow in soft tissues
around implants is considered to be advantageous for
the maintenance of immune function [18], which was
reflected by the low score of mPI and mBI in this study. All patients in this study accepted oral hygiene instruc-
tion at each visit, so PD in both thick-gingiva and thin-
gingiva groups remained healthy. The values of PD even
decreased slightly from 3 to 12-month after restora-
tion, perhaps due to the emphasized instruction of oral
hygiene at each visit. Fig. 5 Recession of marginal gingiva was found in the middle of
buccal aspect around crown 3 months after cement The importance of possessing an adequate width and
thickness of keratinized mucosa seems to be crucial
both for natural teeth and dental implants. A deficiency
of (or minimal) keratinized mucosa around implants has
been shown to hinder patient oral hygiene, leading to
soft tissue inflammation, mucosal recession, and attach-
ment loss [19]. Having at least 2 mm of keratinized tissue Fig. 5 Recession of marginal gingiva was found in the middle of
buccal aspect around crown 3 months after cement Table 3 Clinical parameters of hard tissue from 3 to 12 months
Data were presented as means ± standard deviations (SD)
△ Significant difference (P < 0.05) between 3 months or 12 months and baseline
Parameters
Follow-up (month)
Thin-gingiva
Thick-gingiva
P value
Mesial fBIC-IS
Baseline
1.01 ± 0.82
0.72 ± 0.69
0.93
3
0.44 ± 1.12△
0.26 ± 0.76△
0.67
12
0.03 ± 1.31△
− 0.02 ± 0.74△
0.91
Distal fBIC-IS
Baseline
0.81 ± 0.82
0.71 ± 0.69△
0.81
3
0.33 ± 0.92△
0.20 ± 0.74△
0.58
12
− 0.07 ± 0.98△
− 0.20 ± 0.78△
0.82
Mean fBIC-IS ((M + D)/2)
Baseline
0.91 ± 0.70
0.72 ± 0.62△
0.93
3
0.40 ± 0.95△
0.29 ± 0.59△
0.77
12
− 0.02 ± 1.01△
− 0.11 ± 0.63△
0.82 Table 3 Clinical parameters of hard tissue from 3 to 12 months Luo et al. BMC Oral Health (2021) 21:655 Page 7 of 8 width had protective effect on peri-implant health, and
implants with < 2 mm of keratinized tissue width were
more prone to develop peri-implant biologic complica-
tions [20]. The patients included in this study had at least
2 mm of keratinized tissue width around the implant. However, the recession of marginal gingiva was detected
in patients with thin-gingival phenotype. 1.
Du H, Gao M, Qi C, Liu S, Lin Y. Drug-induced gingival hyperplasia and
scaffolds: they may be valuable for horizontal food impaction. Med
Hypotheses. 2010;74:984–5. Discussionh Gingival phe-
notype, thin or thick, may affect the dimension of the
periodontal tissue. A thick phenotype is prone to pocket
formation, while a thin phenotype is prone to gingival
recession following mechanical or surgical manipula-
tion [6]. Different from natural teeth, supracrestal fib-
ers (gingivo-dental and transseptal fibers) was not in the
gingival tissue surrounding the implant abutment. Fur-
thermore, the absence of blood vessel branches associ-
ated with the periodontal ligament results in restricted
blood supply to the peri-implant mucosa. The pressure
between the restoration and gingiva typically causes
ischemia [7]. Therefore, the peri-implant mucosa can also
be defined as “scar-like” tissues. The gingival with thin
phenotype around implant is easier to shrink following
surgery, which may be the reason of gingival recession in
the middle of buccal aspect in patients with cross-shaped
incision. Compared with thin-gingiva group, GML did
not change from baseline to the 12-month visit in thick-
gingiva group, indicating consistent stability of the gin-
gival margin after the cross-shaped incision of gingival
sulcus around the crown in patients with thick-gingival
phenotype. implant. The lack of negative controls was another limita-
tion of this study. width had protective effect on peri-implant health, and
implants with < 2 mm of keratinized tissue width were
more prone to develop peri-implant biologic complica-
tions [20]. The patients included in this study had at least
2 mm of keratinized tissue width around the implant. However, the recession of marginal gingiva was detected
in patients with thin-gingival phenotype. Gingival phe-
notype, thin or thick, may affect the dimension of the
periodontal tissue. A thick phenotype is prone to pocket
formation, while a thin phenotype is prone to gingival
recession following mechanical or surgical manipula-
tion [6]. Different from natural teeth, supracrestal fib-
ers (gingivo-dental and transseptal fibers) was not in the
gingival tissue surrounding the implant abutment. Fur-
thermore, the absence of blood vessel branches associ-
ated with the periodontal ligament results in restricted
blood supply to the peri-implant mucosa. The pressure
between the restoration and gingiva typically causes
ischemia [7]. Therefore, the peri-implant mucosa can also
be defined as “scar-like” tissues. The gingival with thin
phenotype around implant is easier to shrink following
surgery, which may be the reason of gingival recession in
the middle of buccal aspect in patients with cross-shaped
incision. Abbreviations
fBIC Fi t b
i fBIC: First bone-implant contact; GML: Gingival margin level; IS: Implant shoul-
der; mBI: Modified Sulcus Bleeding Index; mPI: Modified Plaque Index; PD:
Probing Depth; VIP-CT: Vascularized interposition periosteal-connective tissue. Ethics approval and consent to participate The present study was performed in accordance with the World Medical
Association Declaration of Helsinki and was approved by Ethics Committee of
West China Hospital of Stomatology, Sichuan University, China (Approval No. 2009033). All the patients signed informed consent. Publisher’s Note 6. Müller HP, Heinecke A, Schaller N, Eger T. Masticatory mucosa in subjects
with different periodontal phenotypes. J Clin Periodontol. 2000;27:621–6. Springer Nature remains neutral with regard to jurisdictional claims in pub-
lished maps and institutional affiliations. f
7. Yao JW, Wang HL. Assessment of peri-implant soft tissue adaptive pres-
sure and time after provisional restorations. Int J Periodontics Restorative
Dent. 2019;39:809–15. 7. Yao JW, Wang HL. Assessment of peri-implant soft tissue adaptive pres-
sure and time after provisional restorations. Int J Periodontics Restorative
Dent. 2019;39:809–15. 8. Salama H, Salama M. The role of orthodontic extrusive remodeling in the
enhancement of soft and hard tissue profiles prior to implant placement:
a systematic approach to the management of extraction site defects. Int J
Periodontics Restorative Dent. 1993;13:312–33. 9. Man Y, Wang Y, Qu Y, Wang P, Gong P. A palatal roll envelope technique for
peri-implant mucosa reconstruction: a prospective case series study. Int J
Oral Maxillofac Surg. 2013;42:660–5. 10. Taspinar M, Bozoglan A, Ertugrul AS, Elmas L. The role of HBD-2, HBD-3,
and calprotectin in the relationship between chronic periodontitis and
atherosclerosis. Biocell. 2020;44(3):337–44. 11. Man Y, Wu Q, Wang T, Gong P, Gong T, Qu Y. Split pedicle roll envelope
technique around implants and pontics: a prospective case series study. Int J Oral Maxillofac Surg. 2015;44:1295–301. 12. Urdaneta RA, Daher S, Lery J, Emanuel K, Chuang SK. Factors associated
with crestal bone gain on single-tooth locking-taper implants: the effect
of nonsteroidal anti-inflammatory drugs. Int J Oral Maxillofac Implants. 2011;26:1063–78. 13. De Rouck T, Eghbali R, Collys K, De Bruyn H, Cosyn J. The gingival biotype
revisited: transparency of the periodontal probe through the gingival
margin as a method to discriminate thin from thick gingiva. J Clin Peri-
odontol. 2009;36:428–33. 14. Ronay V, Sahrmann P, Bindl A, Attin T, Schmidlin PR. Current status and
perspectives of mucogingival soft tissue measurement methods. J Esthet
Restor Dent. 2011;23:146–56. 15. Mombelli A, Van Oosten MA, Schurch EJ, Lan NP. The microbiota associ-
ated with successful or failing osseointegrated titanium implants. Oral
Microbiol Immunol. 1987;2:145–51. 16. Chang M, Wennström JL, Odman P, Andersson B. Implant supported sin-
gle-tooth replacements compared to contralateral natural teeth. Crown
and soft tissue dimensions. Clin Oral Implants Res. 1999;10:185–94. 17. Welander M, Abrahamsson I, Berglundh T. The mucosal barrier at implant
abutments of different materials. Clin Oral Implants Res. 2008;19:635–41. 18. References References
1. Du H, Gao M, Qi C, Liu S, Lin Y. Drug-induced gingival hyperplasia and
scaffolds: they may be valuable for horizontal food impaction. Med
Hypotheses. 2010;74:984–5. Luo et al. BMC Oral Health (2021) 21:655 Page 8 of 8 2. Bidra AS. Nonsurgical management of inflammatory periimplant
disease caused by food impaction: a clinical report. J Prosthet Dent. 2014;111:96–100. 2. Bidra AS. Nonsurgical management of inflammatory periimplant
disease caused by food impaction: a clinical report. J Prosthet Dent. 2014;111:96–100. non-matching healing abutments: micro-CT analysis. Clin Oral Implants
Res. 2015;26:42–6. 25. Farronato D, Santoro G, Canullo L, Botticelli D, Maiorana C, Lang N. Establishment of the epithelial attachment and connective tissue adapta-
tion to implants installed under the concept of “platform switching”: a
histologic study in minipigs. Clin Oral Implants Res. 2012;23:90–4.f 3. Koori H, Morimoto K, Tsukiyama Y, Koyano K. Statistical analysis of the dia-
chronic loss of interproximal contact between fixed implant prostheses
and adjacent teeth. Int J Prosthodont. 2010;23:535–40. 26. Tarnow DP, Magner AW, Fletcher P. The effect of the distance from the
contact point to the crest of bone on the presence or absence of the
interproximal dental papilla. J Periodontol. 1992;63:995–6. 26. Tarnow DP, Magner AW, Fletcher P. The effect of the distance from the
contact point to the crest of bone on the presence or absence of the
interproximal dental papilla. J Periodontol. 1992;63:995–6. 4. Gastaldo JF, Cury PR, Sendyk WR. Effect of the vertical and horizontal dis-
tances between adjacent implants and between a tooth and an implant
on the incidence of interproximal papilla. J Periodontol. 2004;75:1242–6. 5. Chow YC, Wang HL. Factors and techniques influencing peri-implant
papillae. Implant Dent. 2010;19:208–19. 5. Chow YC, Wang HL. Factors and techniques
papillae. Implant Dent. 2010;19:208–19. papillae. Implant Dent. 2010;19:208–19. •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress.
Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: Publisher’s Note Kajiwara N, Masaki C, Mukaibo T, Kondo Y, Nakamoto T, Hosokawa R. Soft tissue biological response to zirconia and metal implant abutments
compared with natural tooth: microcirculation monitoring as a novel
bioindicator. Implant Dent. 2015;24:37–41. 19. Lin GH, Chan HL, Wang HL. The significance of keratinizedmmucosa on
implant health: a systematic review. J Periodontol. 2013;84:1755–67. 20. Perussolo J, Souza AB, Matarazzo F, Oliveira RP, Araujo MG. Influence
of the keratinized mucosa on the stability of peri-implant tissues and
brushing discomfort: a 4-year follow-up study. Clin Oral Implants Res. 2018;29:1177–85. •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress. Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: •
fast, convenient online submission
•
thorough peer review by experienced researchers in your field
•
rapid publication on acceptance
•
support for research data, including large and complex data types
•
gold Open Access which fosters wider collaboration and increased citations
maximum visibility for your research: over 100M website views per year
•
At BMC, research is always in progress. Learn more biomedcentral.com/submissions
Ready to submit your research
Ready to submit your research ? Choose BMC and benefit from:
? Choose BMC and benefit from: 21. Cooper LF, Ellner S, Moriarty J, et al. Three-year evaluation of single-tooth
implants restored 3 weeks after 1-stage surgery. Int J Oral Maxillofac
Implants. 2007;22:791–800. 22. Kan JY, Rungcharassaeng K, Liddelow G, Henry P, Goodacre CJ. Periim-
plant tissue response following immediate provisional restoration of
scalloped implants in the esthetic zone: a one-year pilot prospective
multicenter study. J Prosthet Dent. 2007;97:109–18. 23. Al-Juboori MJ. Interdental implant papillae grow up with temporary
abutment displaced at monthly intervals. J Contemp Dent Pract. 2015;16:422–6. 24. Finelle G, Papadimitriou D, Souza A, Katebi N, Gallucci G, Araújo M. Peri-implant soft tissue and marginal bone adaptation on implant with 24. Finelle G, Papadimitriou D, Souza A, Katebi N, Gallucci G, Araújo M. Peri-implant soft tissue and marginal bone adaptation on implant with
|
https://openalex.org/W4391098140
|
https://pubs.aip.org/aip/jap/article-pdf/doi/10.1063/5.0188863/19860477/044501_1_5.0188863.pdf
|
English
| null |
A new analytical method for modeling a 2D electrostatic potential in MOS devices, applicable to compact modeling
|
Journal of applied physics
| 2,024
|
cc-by
| 6,003
|
RESEARCH ARTICLE | JANUARY 22 2024
A new analytical method for modeling a 2D electrostatic
potential in MOS devices, applicable to compact modeling RESEARCH ARTICLE | JANUARY 22 2024
A new analytical method for modeling a 2D electrostatic
potential in MOS devices, applicable to compact modeling J. Appl. Phys. 135, 044501 (2024)
https://doi.org/10.1063/5.0188863 J. Appl. Phys. 135, 044501 (2024)
https://doi.org/10.1063/5.0188863 Articles You May Be Interested In Articles You May Be Interested In Comparison of junctionless and inversion-mode p-type metal-oxide-semiconductor field-effect transistors in
presence of hole-phonon interactions Influence of neighboring coupling on metal-insulator-semiconductor (MIS) deep-depletion tunneling current
via Schottky barrier height modulation mechanism J. Appl. Phys. (April 2017) J. Appl. Phys. (April 2017) 24 October 2024 05:17:56 A new analytical method for modeling a 2D
electrostatic potential in MOS devices, applicable
to compact modeling Cite as: J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863
Submitted: 24 November 2023 · Accepted: 22 December 2023 ·
Published Online: 22 January 2024 Cite as: J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863
Submitted: 24 November 2023 · Accepted: 22 December 2023 ·
Published Online: 22 January 2024 Cite as: J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863
Submitted: 24 November 2023 · Accepted: 22 December 2023 ·
Published Online: 22 January 2024 F. Lime,1,a)
B. Iñiguez,1
and A. Kloes2 F. Lime,1,a)
B. Iñiguez,1
and A. Kloes2 I. INTRODUCTION very accurate for complex and asymmetrical structures. As a more
accurate alternative, one can use Fourier series,7,8 but with the dis-
advantage of using complex expressions and infinite series. Another possibility is using the conformal mapping technique. The
latter is equivalent to Fourier series, but in some cases, it has the
advantage of leading to simpler closed-form expressions.9 In semiconductor technologies, compact models are the neces-
sary core component of design tools and circuit simulators. They are
needed to reproduce the behavior of the electronic components. These
models need to be simple, fast, and efficient in order to allow complex
circuit simulations. Over the years, semiconductor devices have been
scaled down in order to improve their performance and price per unit. With this size reduction comes new effects to be taken in account, and
new architectures have been introduced as well. As a consequence, it
becomes more critical to model the device in two or even three dimen-
sions, in addition to the common and usual 1D approach. g
g
For a MOSFET, conformal mapping was first implemented
in Ref. 10 The method has also been used to evaluate fringing
fields in SOI technologies.11,12 The Poisson equation is usually
decomposed into the sum of a 1D and a 2D component. The 1D
term is a Poisson equation, while the 2D one reduces to the
Laplace equation. This is an approximation to simplify the
problem. Then, the Laplace equation is solved over a rectangular
domain. This is referred to as the 4-corner problem. This has
been done for a Double gate MOSFET in Ref. 13. However, the
solution of the 4-corner problem is not analytical and, moreover,
is computationally expensive. Because of this, the following
approximation is usually made. When the rectangle is very long,
one of its edges can be neglected as it tends to infinity. This
approximation is called the 2-corner problem.9,14 This method is For field effect transistors, 2D modeling of the surface poten-
tial is necessary in order to take into account short channel effects
such as Drain Induced Barrier Lowering (DIBL) and channel
length modulation, or even narrow and corner effects in long 3D
structures.1 The various 2D models for compact modeling include
the use of an equivalent characteristic length.2–6 This method has
been widely used because of its simplicity, especially when it is not
possible to obtain an exact solution. ABSTRACT This paper presents a new conformal mapping method to solve 2D Laplace and Poisson equations in MOS devices. More specifically, it con-
sists of an analytical solution of the 2D Laplace equation in a rectangular domain with Dirichlet boundary conditions, with arbitrary values
on the boundaries. The advantages of the new method are that all four edges of the rectangle are taken into account and the solution con-
sists of closed-form analytical expressions, which make it fast and suitable for compact modeling. The new model was validated against
other similar methods. It was found that the new model is much faster, easier to implement, and avoids many numerical issues, especially
near the boundaries, at the cost of a very small loss in accuracy. 24 October 2024 05 © 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license
(https://creativecommons.org/licenses/by/4.0/). https://doi.org/10.1063/5.0188863
17:56 © 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons A
https://creativecommons.org/licenses/by/4.0/). https://doi.org/10.1063/5.0188863 Journal of
Applied Physics pubs.aip.org/aip/jap METHOD AFFILIATIONS 1Electronics Engineering Department, Universitat Rovira i Virgili (URV), Tarragona 43007, Spain 1Electronics Engineering Department, Universitat Rovira i Virgili (URV), Tarragona 43007, Spain
2Technische Hochschule Mittelhessen, Competence Center for Nanotechnology and Photonics, Wiesenstrasse 14, Giessen 35390,
Germany 2Technische Hochschule Mittelhessen, Competence Center for Nanotechnology and Photonics, Wies
Germany a)Author to whom correspondence should be addressed: francois.lime@urv.cat III. THE 2-CORNER PROBLEM The solution can of the Laplace equation be found using a
Schwarz–Christoffel conformal mapping. In this case, the method
is analytical and consists of the following equation, which allows to
map a rectangle of length L and height H of the (x, y)-plane, as
shown Fig. 1, to the upper part of the (u, v)-plane,14 with w ¼ w1D þ w2D. With this simplification, we only have to solve Laplace equa-
tion (3) in order to obtain the 2D contribution to the potential
w2D. In addition, modern devices usually use low semiconductor
doping, and as 2D effects are evaluated below the threshold, it can
be considered that ρ ≃0, so that Poisson equation (1) reduces to
Laplace equation (3). For the sake of simplicity, we consider that
this is the case in this paper, and we have w ¼ w2D ¼ V and ρ ¼ 0. In this paper, we propose a new approach to the 4-corner
problem, which allowed us to obtain a solution that is analytical
and uses closed-form expressions, which are desirable in compact
models. First, we will explain how to obtain the solution of the
Laplace equation on a rectangular domain with the 2-corner
method as it is necessary to understand our new method. In the
second part, we will explain how to take into account the fourth
boundary condition. In the last part, the accuracy of the new
4-corner model will be discussed. II. LAPLACE AND POISSON EQUATIONS In semiconductor devices, the electrostatic potential w and the
charges are governed by the Poisson equation. The 2D Poisson
equation can be written as w ¼ u þ iv ¼ cosh π z
H
,
(4) (4) @2w
@x 2 þ @2w
@y 2 ¼ ρ
εsc
,
(1) with z ¼ x þ iy. (1) This is equivalent to the following transition equations
between x, y and u, v: where ρ is the charge density and εsc is the semiconductor
permittivity. u x, y
ð
Þ ¼ cosh π x
H
cos π y
H
(5)
v x, y
ð
Þ ¼ sinh π x
H
sin π y
H
:
(6)
24 October 2024 05 u x, y
ð
Þ ¼ cosh π x
H
cos π y
H
(5) (5) Usually, a long channel transistor is governed by the 1D
Poisson equation and 2D effects are to be considered only when
the channel length is too short. In these cases, 2D effects can be
considered as a kind of perturbation to the 1D solution, and the
Poisson equation can then be decomposed into a 1D Poisson equa-
tion and a 2D Laplace equation, and v x, y
ð
Þ ¼ sinh π x
H
sin π y
H
:
(6)
ber 2024 05 (6) The mapping of the rectangle of Fig. 1(a) using (4) is shown
Fig. 1(b). The rectangular domain is mapped to the upper half
(u, v)-plane, with the right edge of the rectangle on the positive
values of the real axis of the complex (u, v)-plane. The top, bottom,
5:17:56 @2w1D
@x 2 ¼ ρ
εsc
,
(2) (2) FIG. 1. A rectangular area in the (x, y)-plane of dimensions L ¼ 35; : nm and H ¼ 20; : nm. The space between the lines is 1; : nm (a). (b) is the same rectangular area
being mapped into the (u, v)-plane using (4). The circled numbers show the location of the four corners plus the point of coordinates L, H=2
ð
Þ. FIG. 1. A rectangular area in the (x, y)-plane of dimensions L ¼ 35; : nm and H ¼ 20; : nm. The space between the lines is 1; : nm (a). I. INTRODUCTION However, this technique is not J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863
© Author(s) 2024 J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863 135, 044501-1 135, 044501-1 Journal of
Applied Physics pubs.aip.org/aip/jap METHOD @2w2D
@x 2 þ @2w2D
@y 2 ¼ 0,
(3) usually preferred over the 4-corner one because its solution con-
sists of simple analytical expressions, which are convenient for
compact modeling. However, the 2-corner solution becomes inac-
curate when the length of the rectangle is less than two times its
height. (3) with w ¼ w1D þ w2D. h h
l f II. LAPLACE AND POISSON EQUATIONS (b) is the same rectangular area
being mapped into the (u, v)-plane using (4). The circled numbers show the location of the four corners plus the point of coordinates L, H=2
ð
Þ. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863
135, 044501-2
Author(s) 2024 J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863
© Author(s) 2024 135, 044501-2 Journal of
Applied Physics pubs.aip.org/aip/jap METHOD L, H=2
ð
Þ. As this point is situated on the boundary of the domain,
where the potential is known, the method will not be applied at
this particular point and this should not be an issue. and left edges are mapped to the real axis, while the right edge is
mapped to a half ellipse around the point (0,0) whose size increases
as L increases. This means that when L tends to infinity, or equiva-
lently L .. W, the right edge of the rectangle will effectively be
mapped to infinity. The result of applying (9) to the domain of Fig. 1 is shown
Fig. 2. Basically, the geometry is unaffected except for the right-
hand side boundary of the rectangle that is opened up toward
infinity. In other words, Eq. (9) maps the upper part of the right-
hand side of the rectangle (i.e., the boundary points situated
between the circled numbers #1 and #5 in Fig. 1(a)) to the upper
side and the lower part (the points between circled numbers #4
and #5) to the bottom edge. The middle point (L, H=2), labeled as
circled number #5 in the figure, is mapped to infinity. The vertical
left-hand side of the rectangle is mapped between 0 and π but is
not completely straight anymore. With that reserve in mind, which
will have consequences explained latter, we can say that we just
approximately converted the 4-corner problem to a 2-corner one,
whose solution can be found with Eqs. (4–8). More specifically, we
combine (9) with (4) in order to align the four edges to the real
axis of the w-plane. This gives the following map: With this assumption that L .. W, we can then obtain a solu-
tion of the Laplace equation, considering V ¼ V0 on a line located
on the boundary of the rectangle of the (x, y)-plane, and V ¼ 0
everywhere else on the boundary. It could be, for example, a line
between points #2 and #3 in Fig. 1. II. LAPLACE AND POISSON EQUATIONS In the (x, y)-plane, this line is
defined between the two points z1 ¼ x1, y1
ð
Þ and z2 ¼ x2, y2
ð
Þ. In
the (u, v)-plane, the line will be located on the real axis between the
points u x1, y1
ð
Þ and u x2, y2
ð
Þ. The solution is then,10,14,15 V x, y
ð
Þ ¼ V0
π
f x, y, x1, y1
ð
Þ f x, y, x2, y2
ð
Þ
ð
Þ
(7) (7) with f x, y, x0, y0
ð
Þ ¼ arctan u x, y
ð
Þ u x0, y0
ð
Þ
v x, y
ð
Þ
(8) (8) w ¼ cosh Z1 x, y
ð
Þ
ð
Þ
(10) w ¼ cosh Z1 x, y
ð
Þ
ð
Þ
(10) (10) and where u and v are, respectively, given by (5) and (6). This is the
solution of the 2-corner problem, that is to say, when the right-hand
side boundary condition is not applied. It is strictly valid if the line is
located far away from the opposite side of the rectangle so that the
potential at the missing boundary is close to 0. In order to take into
account the third edge of the rectangle, i.e., the right-hand side boun-
dary condition in our example, we need to solve the 4-corner
problem. This is required when H ≃L. or, equivalently, w ¼ u þ iv ¼ 1
2
cosh π L
H
cosh π Lz
H
þ cosh π Lz
H
cosh π L
H
! ,
(11) (11) with with
u x, y
ð
Þ ¼ cosh π Lx
H
cos π y
H
2cosh π L
H
cosh2 π L
H
sinh2 π Lx
H
þ cos2 π y
H
þ 1
! ,
(12)
v x, y
ð
Þ ¼ sinh π Lx
H
sin π y
H
2cosh π L
H
cosh2 π L
H
sinh2 π Lx
H
þ cos2 π y
H
1
! :
(13)
24 October 2024 05:17:56 IV. A NEW APPROACH FOR THE 4-CORNER PROBLEM When V0 is a function of y, we can use the superposition
principle to obtain an approximated solution, as shown in this
example for the left-hand side of the rectangular domain, at +5:84 ¼ cosh π
ð Þ þ 1=cosh π
ð Þ
ð
Þ=2, obtained from (11) when
z ¼ L ¼ H. The boundary is mapped to the real axis as follows. The left-hand side is mapped to the values 1 , u , 1, the top
side to 5:84 , u , 1, and the bottom edge to 1 , u , 5:84. As for the upper half of the right side, it is mapped to the interval
1 , u , 5:84,
while
the
lower
half
corresponds
to
5:84 , u , 1. V x, y
ð
Þ ¼
X
N1
n¼1
V0 yn
ð
Þ þ V0 ynþ1
ð
Þ
2π
f x, y, 0, ynþ1
ð
Þ f x, y, 0, yn
ð
Þ
ð
Þ,
(17)
with
yn ¼ y1 þ y2 y1
N
n:
24 October 2024 05:17:5 V x, y
ð
Þ ¼
X
N1
n¼1
V0 yn
ð
Þ þ V0 ynþ1
ð
Þ
2π
f x, y, 0, ynþ1
ð
Þ f x, y, 0, yn
ð
Þ
ð
Þ, (17) However, (11) is only an approximation for the 4-corner
problem, as the left-hand edge is not exactly mapped to the real
axis, but very close to it, as shown by the inset of Fig. 3. As a conse-
quence, the value obtained when solving the Laplace equation at
the left-hand side will be a little underestimated. The reason for
this error is due to the map (9). This can be seen in Fig. 2 as the
vertical lines, which are close to the right-hand side are not straight
anymore but deformed in the center. This effect becomes weaker
the closer we are to the left-hand side of the rectangle but never
disappears completely. This means that the approximation is better
for higher L=H ratios. However, the accuracy is still acceptable for
the limiting case L ¼ H, with a deformation of less than 1% at the
left-hand side. From the inset of Fig. IV. A NEW APPROACH FOR THE 4-CORNER PROBLEM Inset: a close-up showing
the deviation from the real axis when 1 , u , 1. The maximum deviation is
at most 0.0038 at u ¼ 0. The four corners and the point L, H=2
ð
Þ are indicated
with a circled number. v x, y
ð
Þ ¼ sinh π Hy
L
sin π x
L
2cosh π H
L
cosh2 π H
L
sinh2 π Hy
L
þ cos2 π x
L
1
! :
(15) v x, y
ð
Þ ¼ sinh π Hy
L
sin π x
L
2cosh π H
L
cosh2 π H
L
sinh2 π Hy
L
þ cos2 π x
L
1
! : (15) The solution of the potential using the Laplace equation can
obtained with (7) for a constant value on the boundary between
the points z1 and z2, considering z2 to be after z1 in an anticlock-
wise way around the boundary. However, when the point L, H=2
ð
Þ
is between z1 and z2, (7) have to be replaced by V x, y
ð
Þ ¼ V0 þ V0
π
f x, y, x1, y1
ð
Þ f x, y, x2, y2
ð
Þ
ð
Þ
(16) (16) FIG. 3. The rectangular area of Fig. 1 after being mapped into the w-plane
using (11), for the case H ¼ L. The left-hand edge of the rectangle is mapped
to the values of the real axis u between 1 and 1. Inset: a close-up showing
the deviation from the real axis when 1 , u , 1. The maximum deviation is
at most 0.0038 at u ¼ 0. The four corners and the point L, H=2
ð
Þ are indicated
with a circled number. because the line is going from þ1 to 1 in the (u, v)-plane. This can be useful as the error explained above is mainly located
on the left-hand side of the domain, so in some cases, it might be
more interesting to apply the boundary condition to the right-
hand side. IV. A NEW APPROACH FOR THE 4-CORNER PROBLEM The solution of the 4-corner problem is already known and
can be found in some textbooks on complex analysis.15 It is also
based on a Schwarz–Christoffel conformal mapping. This method
has been implemented for a Double Gate MOSFET in Ref. 13. However, this solution requires finding an inverse function for
elliptic integrals. Thus, it is a numerical method and is not analyti-
cal. In the following, we propose a new approach that is not based
on the Schwarz–Christoffel conformal mapping. This new model
does not require the evaluation of elliptic integrals and has the
advantage of being analytic. However, we will also show that the
new method is only a good approximation to the exact Schwarz–
Christoffel approach. (13) The result of the map (11) is shown Fig. 3 for the case H ¼ L. The four corners, labeled with circled numbers 1–4 in Figs. 1
and 3, are mapped to the real axis: two at +1 and the other two FIG. 2. The rectangular area of Fig. 1(a) after being mapped into the
(X1, Y1)-plane using (9). The method consists of applying a map, which converts the
4-corner problem into a 2-corner one. Such a map is the following
one: Z1 ¼ X1 þ iY1 ¼ ln
cosh π L
H
cosh π Lz
H
! :
(9) (9) First, it should be shown that the map (9) is conformal, i.e.,
that Laplace equation is invariant to this mapping. This can be
done using the property that any combination of two conformal
maps is also conformal. In fact, cosh z
ð Þ is conformal as well as
ln z
ð Þ, except when
zj j ¼ 0. This means that (9) is conformal,
except at the point #5 in Fig. 1, which is the point of coordinates FIG. 2. The rectangular area of Fig. 1(a) after being mapped into the
(X1, Y1)-plane using (9). J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863
© Author(s) 2024 J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863 135, 044501-3 Journal of
Applied Physics METHOD FIG. 3. The rectangular area of Fig. 1 after being mapped into the w-plane
using (11), for the case H ¼ L. The left-hand edge of the rectangle is mapped
to the values of the real axis u between 1 and 1. IV. A NEW APPROACH FOR THE 4-CORNER PROBLEM 3, it can be seen that the left-
hand side of the rectangle is approximately mapped to the real axis
between u ¼ 1 and u ¼ 1, with a value of 0:0037 for the
maximum deviation from the real axis at u ¼ 0. This represents
0.185% of the length of this side of the rectangle in the (u,v)-plane,
which is equal to 2. As this deformation is quite small, we consider
the map (11) to be a good approximation for the 4-corner
problem, provided that L . H. with The desired number of intermediary values of V0 y
ð Þ between y1
and y2 is N 1. Using (17), it is then possible to obtain an approximated ana-
lytical and explicit expression for the solution of the Laplace equa-
tion,
with
arbitrary
Dirichlet
boundary
conditions
on
the
rectangular domain. g
To illustrate the accuracy of the new method, we show the
following example. A domain with H ¼ L ¼ 12 nm is considered
with the potential equal to 1 V on the left-hand side of the rectan-
gle and 0 everywhere else on the boundary. The results for the 4-
and 2-corner cases are plotted against x in Fig. 4, for y ¼ H=2 . It
can be observed that, for the 4-corner case, the potential correctly
cancels to 0 on the right-hand side, in contrast to the 2-corner
one, because the fourth boundary condition is not applied in that
case. The 4-corner approach is much more accurate than the
2-corner one, especially when L becomes comparable to H and
the 2-corner method fails. This figure also compares the new
model with the original Schwarz–Christoffel numerical 4-corner
model.13 The agreement with our 4-corner model is excellent. This shows that the approximations of the analytical model have
a very low impact on the results, even for the worst case H ¼ L. In addition, our model is much faster and, being analytical, does
not suffer from the numerical inaccuracies inherent to the For the cases when L , H, the problem should be rotated
90. This can be done easily in equations (12) and (13) by inverting
x and y, L, and H and also changing the sign of u. V. A SIMPLE EXAMPLE FOR A DOUBLE GATE MOSFET As explained below (16), we can assign non zero values to the
boundary condition on the right-hand edge of the domain, or to
the left-hand one, which is easier to implement. We give the fol-
lowing example for the right-hand case. We first calculate the
potential for the right-hand side of the channel, i.e., for x . L=2. The contribution from the drain was obtained from (16) as follows. As the boundary condition line is crossing the point L, H=2
ð
Þ, we
have to use (16) instead of (7), Vdrain x, y
ð
Þ ¼ VD þ VD
π
f x, y, L, toxb
ð
Þ
½
f x, y, L, H toxf
:
(18) (18) Where toxf and toxb are, respectively, the equivalent thicknesses of
the front and back gate dielectrics. In a similar way, contributions
from the top and back gate were obtained from (7), FIG. 4. The potential at y ¼ H=2, for the following boundary conditions: V ¼ 1V
on the left-hand side and 0 everywhere else, for the case H ¼ L. The 4- and
2-corner cases are compared. Symbols are the 4-corner model without approxi-
mation, presented in Ref.13. Vtopgate x, y
ð
Þ ¼ VGt
π
f x, y, L, H
ð
Þ f x, y, 0, H
ð
Þ
ð
Þ,
(19)
Vbackgate x, y
ð
Þ ¼ VGb
π
f x, y, 0, 0
ð
Þ f x, y, L, 0
ð
Þ
ð
Þ:
(20) Vtopgate x, y
ð
Þ ¼ VGt
π
f x, y, L, H
ð
Þ f x, y, 0, H
ð
Þ
ð
Þ,
(19) Vtopgate x, y
ð
Þ ¼ VGt
π
f x, y, L, H
ð
Þ f x, y, 0, H
ð
Þ
ð
Þ,
(19) (19) 4-corner Schwarz–Christoffel method. These inaccuracies of the
Schwarz–Christoffel model come from the use of complex inte-
grals and interpolations, generally over quantities, which tend to
infinity. Vbackgate x, y
ð
Þ ¼ VGb
π
f x, y, 0, 0
ð
Þ f x, y, L, 0
ð
Þ
ð
Þ:
(20) (20) FIG. 5. (a) The calculated 2D potential
from our model, for a
Double Gate
MOSFET
with
tsc ¼ 12 nm,
tox ¼ 1:6 nm,
and
L ¼ 25 nm. (b)
Corresponding
equipotentials. IV. A NEW APPROACH FOR THE 4-CORNER PROBLEM This gives u x, y
ð
Þ ¼ cosh π Hy
L
cos π x
L
2cosh π H
L
cosh2 π H
L
sinh2 π Hy
L
þ cos2 π x
L
þ 1
! ,
(14) (14) 135, 044501-4 135, 044501-4 J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863
© Author(s) 2024 J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863 Journal of
Applied Physics METHOD pubs.aip.org/aip/jap FIG. 4. The potential at y ¼ H=2, for the following boundary conditions: V ¼ 1V
on the left-hand side and 0 everywhere else, for the case H ¼ L. The 4- and
2-corner cases are compared. Symbols are the 4-corner model without approxi-
mation, presented in Ref.13. VI. CONCLUSIONS In this work, a new technique to model a 2D potential in
MOS devices has been presented. It is based on a conformal
mapping method to solve the Laplace equation on a rectangular
domain. The new model takes into account all four edges of the
rectangle, and only needs the values on the boundary to be defined. The solution presents the advantage of being constituted of closed-
form analytical expressions. These are similar in complexity to the
solution of the 2-corner problem. The accuracy was found to be
excellent and the new technique was found to be a very good
approximation of the 4-corner method. Compared to the 4-corner
method, the new model is much faster, easier to implement, and
avoid many numerical issues, especially near the boundaries. The
trade-off is a small, negligible loss in accuracy. Thanks to these
characteristics, the new model is suitable for compact modeling
and should be especially useful when modeling very short-channel
FETs. Summing all the contributions gives the contribution for the
right-hand side of the channel VR x, y, VD
ð
Þ ¼ Vdrain x, y, VD
ð
Þ þ Voxt x, y, VD
ð
Þ
þ Voxb x, y, VD
ð
Þ:
(21) (21) The contribution from the left side was obtained “mirroring”
VR with respect to the middle of the channel, so that the total
potential, including the contributions from the top and back
gates, is Vtot x, y
ð
Þ ¼ VR x, y, VD
ð
Þ þ VR L x, y, VS
ð
Þ
þ Vtopgate x, y
ð
Þ þ Vbackgate x, y
ð
Þ:
(22) (22) To validate our model, we compared it with a similar method
published in Ref. 13, which used a Schwarz–Christoffel conformal
mapping, that is to say, the original 4-corner method, without
approximation, which is not analytical. We implemented their
method and reproduced the example given in their paper, which
consists of DGMOS with 25 nm for the gate length, a silicon thick-
ness of 12 nm, a gate oxide thickness of 1.6 nm, and an aluminum
gate. The results are shown in Fig. 5. We used equivalent gate
dielectric thicknesses teq
ox ¼ toxεsc=εox in order to avoid the disconti-
nuity in the two relative permittivity values, which are εsc ¼ 11:8
for the semiconductor and εox ¼ 7 for the dielectrics. VI. CONCLUSIONS As an
improvement over,13 a linear boundary condition in the gate dielec-
tric was also considered with 10 intermediary values, i.e., N = 10 in
(17). Figure 5(a) shows the 2D potential obtained from our model,
i.e., Equation (22), and (b) shows the corresponding equipotentials. In this former figure, the source is located on the left, the drain on
the right, the top gate on the top and the back gate on the bottom
of the rectangle. The linear potential in the dielectrics, along with
the ten intermediary steps can also be seen in Fig. 5(a). In Fig. 5(c),
our model is compared with both the Schwartz–Cristoffel 4-corner
method of Ref. 13 and with Technology Computer-Aided Design
(TCAD) simulations done with Silvaco Atlas. Figure 5(c) shows
two cuts of the 2D potential of (a): a vertical one at x ¼ L=2 and a
horizontal one at y ¼ H=2. The comparison between the two
4-corner approaches shows very similar results, which validates our
method. The two characteristics are nearly identical, but our analyt-
ical model should give a better representation of the 2D potential
in the gate dielectrics, especially near the boundary conditions and
the corners, because in those areas it is difficult to evaluate the
numerical approach with a high enough precision. The small dis-
crepancy with TCAD could be due to the source/drain junction
built-in potential, that is to say, the boundary value at the source
and drain end of the channel, as we could achieve a much better fit
with the lower value of this built-in potential. This may be
explained as in reality, this potential is not applied exactly at the V. A SIMPLE EXAMPLE FOR A DOUBLE GATE MOSFET (c)
Horizontal and vertical cuts of the
potential shown in (a), at the center of
the channel. Lines are our model,
dotted lines are from TCAD Silvaco,
and
symbols
are
the
4-corner
Schwarz–Christoffel
model
from
Kolberg et al.13
24 October 2024 05:17:56 24 October 2024 05:17:56 J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863 135, 044501-5 © Author(s) 2024 Journal of
Applied Physics pubs.aip.org/aip/jap METHOD boundary of the channel but more inside the source and drain
regions.16 The contribution from the top and back gate dielectrics Voxt and
Voxb were obtained from (17). Considering, as an approximation, a
linear potential drop in the dielectrics, the following Dirichlet
boundary condition were considered in the front and back gate
insulators:
V0xt y
ð Þ ¼ VGt þ VS VGt
ð
Þ H y
ð
Þ=toxf
and
V0xb y
ð Þ ¼ VGb þ VS VGb
ð
Þy=toxb. In this case, we also used
equivalent oxide thicknesses in order to avoid discontinuity in the
permittivity. The authors have no conflicts to disclose. The authors have no conflicts to disclose. DATA AVAILABILITY Data sharing is not applicable to this article as no new data
were created or analyzed in this study. Author Contributions F. Lime:
Conceptualization
(lead);
Investigation
(lead);
Methodology (lead); Validation (lead); Writing – original draft
(lead). B. Iñiguez: Investigation (equal); Supervision (equal);
Writing – review & editing (equal). A. Kloes: Investigation (equal);
Supervision (equal); Writing – review & editing (equal). ACKNOWLEDGMENTS This work was funded by the Spanish Ministry of Science
through Contract No. PRX21/00726. REFERENCES 1A. Kloes, M. Weidemann, D. Goebel, and B. T. Bosworth, “Three-dimensional
closed-form model for potential barrier in undoped FinFETs resulting in analyti-
cal equations for VT and subthreshold slope,” IEEE Trans. Electron Devices 55,
3467–3475 (2008). 1A. Kloes, M. Weidemann, D. Goebel, and B. T. Bosworth, “Three-dimensional
closed-form model for potential barrier in undoped FinFETs resulting in analyti-
cal equations for VT and subthreshold slope,” IEEE Trans. Electron Devices 55,
3467–3475 (2008). 2R.-H. Yan, A. Ourmazd, and K. F. Lee, “Scaling the Si MOSFET: From bulk to
SOI to bulk,” IEEE Trans. Electron Devices 39, 1704–1710 (1992). 3 2R.-H. Yan, A. Ourmazd, and K. F. Lee, “Scaling the Si MOSFET: From bulk to
SOI to bulk,” IEEE Trans. Electron Devices 39, 1704–1710 (1992). 3 3K. Suzuki, T. Tanaka, Y. Tosaka, H. Horie, and Y. Arimoto, “Scaling theory for
double-gate SOI MOSFET’s,” IEEE Trans. Electron Devices 40, 2326–2329
(1993). 3K. Suzuki, T. Tanaka, Y. Tosaka, H. Horie, and Y. Arimoto, “Scaling theory for
double-gate SOI MOSFET’s,” IEEE Trans. Electron Devices 40, 2326–2329
(1993). 4F. Lime, B. Iniguez, and O. Moldovan, “A quasi-two-dimensional compact
drain–current model for undoped symmetric double-gate MOSFETs including
short-channel effects,” IEEE Trans. Electron Devices 55, 1441–1448 (2008). 4F. Lime, B. Iniguez, and O. Moldovan, “A quasi-two-dimensional compact
drain–current model for undoped symmetric double-gate MOSFETs including
short-channel effects,” IEEE Trans. Electron Devices 55, 1441–1448 (2008). 135, 044501-6 J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863
© Author(s) 2024 J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863 135, 044501-6 135, 044501-6 Journal of
Applied Physics Journal of
Applied Physics pubs.aip.org/aip/jap METHOD 5A. Yesayan, F. Prégaldiny, N. Chevillon, C. Lallement, and J.-M. Sallese,
“Physics-based compact model for ultra-scaled FinFETs,” Solid-State Electron. 62, 165–173 (2011). 11T. Ernst, C. Tinella, C. Raynaud, and S. Cristoloveanu, “Fringing fields in
sub-0.1 μm fully depleted SOI MOSFETs: Optimization of the device architec-
ture,” Solid-State. Electron. 46, 373–378 (2002). 12T. Ernst, R. Ritzenthaler, O. Faynot, and S. Cristoloveanu, “A model of fring-
ing fields in short-channel planar and triple-gate SOI MOSFETs,” IEEE Trans. 6A. Dey, A. Chakravorty, N. DasGupta, and A. DasGupta, “Analytical
model of subthreshold current and slope for asymmetric 4-T and 3-T
double-gate
MOSFETs,”
IEEE
Trans. Electron
Devices
55,
3442–3449
(2008). Electron Devices 54, 1366–1375 (2007). 13S. Kolberg and T. A. Fjeldly, “2D modelling of nanoscale double gate
silicon-on-insulator MOSFETs using conformal mapping,” Phys. Scr. T126,
57–60 (2006). 7X. Liang and Y. Taur, “A 2-D analytical solution for SCEs in DG MOSFETs,”
IEEE Trans. Electron Devices 51, 1385–1391 (2004). 8R. Ritzenthaler, F. Lime, O. Faynot, S. Cristoloveanu, and B. Iñiguez, “3D ana-
lytical modelling of subthreshold characteristics in vertical Multiple-gate FinFET
transistors,” Solid-State. Electron. 65–66, 94–102 (2011). 14M. Schwarz, T. Holtij, A. Kloes, and B. Iñíguez, “Analytical compact modeling
framework for the 2D electrostatics in lightly doped double-gate MOSFETs,”
Solid-State. Electron. 69, 72–84 (2012). 9M. Schwarz, M. Weidemann, A. Kloes, and B. Iñíguez, “2D analytical calcula-
tion of the electrostatic potential in lightly doped Schottky barrier double-gate
MOSFET,” Solid-State. Electron. 54, 1372–1380 (2010). 15E. Weber, Electromagnetic Fields: Mapping of Fields, Electromagnetic Fields,
Vol. 1 (Wiley, 1950). 16T. Dutta, Q. Rafhay, G. Pananakakis, and G. Ghibaudo, “Modeling of the
impact of source/drain regions on short channel effects in MOSFETs,” in 2013 16T. Dutta, Q. Rafhay, G. Pananakakis, and G. Ghibaudo, “Modeling of the
impact of source/drain regions on short channel effects in MOSFETs,” in 2013
14th International Conference on Ultimate Integration on Silicon (ULIS)
(IEEE, 2013) pp. 69–72. 10A. Kloes and A. Kostka, “A new analytical method of solving 2D Poisson’s
equation in MOS devices applied to threshold voltage and subthreshold model-
ing,” Solid-State. Electron. 39, 1761–1775 (1996). 14th International Conference on Ultimate Integration on Silicon (ULIS)
(IEEE, 2013) pp. 69–72. 24 October 2024 05:17:56 135, 044501-7 135, 044501-7 135, 044501-7 J. Appl. Phys. 135, 044501 (2024); doi: 10.1063/5.0188863
© Author(s) 2024
|
https://openalex.org/W2121802483
|
http://www.scielo.cl/pdf/ejb/v17n2/a08.pdf
|
English
| null |
Assessment of somaclonal variation in somatic embryo-derived plants of yacon [Smallanthus sonchifolius (Poepp. and Endl.) H. Robinson] using inter simple sequence repeat analysis and flow cytometry
|
Electronic Journal of Biotechnology
| 2,014
|
cc-by
| 5,190
|
a r t i c l e
i n f o Article history:
Received 24 September 2013
Accepted 31 December 2013
Available online 28 January 2014
Keywords:
DNA polymorphism
Molecular markers
Ploidy level
Proembryogenic callus Article history:
Received 24 September 2013
Accepted 31 December 2013
Available online 28 January 2014
Keywords:
DNA polymorphism
Molecular markers
Ploidy level
Proembryogenic callus Background: Yacon (Smallanthus sonchifolius) is a root crop native to the Andean region. Low sexual reproductive
capacity is a major constraint facing the genetic breeding of this crop. Biotechnological techniques offer alternative
ways to widen genetic variability. We investigated somaclonal variation in regenerants of yacon derived from
in vitro somatic embryogenesis using simple sequence repeat (ISSR) analysis and flow cytometry. Background: Yacon (Smallanthus sonchifolius) is a root crop native to the Andean region. Low sexual reproductive
capacity is a major constraint facing the genetic breeding of this crop. Biotechnological techniques offer alternative
ways to widen genetic variability. We investigated somaclonal variation in regenerants of yacon derived from
in vitro somatic embryogenesis using simple sequence repeat (ISSR) analysis and flow cytometry. Results: Twenty tested ISSR primers provided a total of 7848 bands in 60 in vitro regenerants and control plant. The
number of bands for each primer varied from 3 to 10, and an average of 6.95 bands was obtained per ISSR primer. Eight primers were polymorphic and generated 10 polymorphic bands with 7.19% mean polymorphism. ISSR
analysis revealed genetic variability in 6 plants under study. These regenerants had Jaccard's distances 0.104,
0.020, 0.040, 0.106, 0.163 and 0.040. Flow cytometric analysis did not reveal changes of relative nuclear DNA
content in regenerants suggesting that the plants obtained via somatic embryogenesis had maintained stable
octoploid levels. Results: Twenty tested ISSR primers provided a total of 7848 bands in 60 in vitro regenerants and control plant. The
number of bands for each primer varied from 3 to 10, and an average of 6.95 bands was obtained per ISSR primer. Eight primers were polymorphic and generated 10 polymorphic bands with 7.19% mean polymorphism. ISSR
analysis revealed genetic variability in 6 plants under study. These regenerants had Jaccard's distances 0.104,
0.020, 0.040, 0.106, 0.163 and 0.040. Flow cytometric analysis did not reveal changes of relative nuclear DNA
content in regenerants suggesting that the plants obtained via somatic embryogenesis had maintained stable
octoploid levels. Iva Viehmannova a,⁎, Zuzana Bortlova a, Jan Vitamvas b, Petra Hlasna Cepkova a, Katerina Eliasova c,
Eva Svobodova a Martina Travnickova a a Department of Crop Sciences and Agroforestry in Tropics, Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamycka 129, Prague 165 21, Czech Republic
b Department of Dendrology and Forest Tree Breeding, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamycka 129, Prague 165 21, Czech Republic
c Institute of Experimental Botany, Academy of Sciences of the Czech Republic, Rozvojova 263, Prague 252 43, Czech Republic a r t i c l e
i n f o Conclusions: Our findings show that indirect somatic embryogenesis could be used in yacon improvement to
widen genetic variability, especially when low sexual reproductive capacity hinders classical ways of breeding. © 2014 Pontificia Universidad Católica de Valparaíso. Production and hosting by Elsevier B.V. All rights reserved. Electronic Journal of Biotechnology 17 (2014) 102–106 Electronic Journal of Biotechnology 17 (2014) 102–106 Contents lists available at ScienceDirect Contents lists available at ScienceDirect 3458/$ – see front matter © 2014 Pontificia Universidad Católica de Valparaíso. Production and hosting by Elsevier B.V. All rights reserved.
dx.doi.org/10.1016/j.ejbt.2013.12.011 Assessment of somaclonal variation in somatic embryo-derived plants of
yacon [Smallanthus sonchifolius (Poepp. and Endl.) H. Robinson] using
inter simple sequence repeat analysis and flow cytometry Assessment of somaclonal variation in somatic embryo-derived plants of
yacon [Smallanthus sonchifolius (Poepp. and Endl.) H. Robinson] using
inter simple sequence repeat analysis and flow cytometry va a,⁎, Zuzana Bortlova a, Jan Vitamvas b, Petra Hlasna Cepkova a, Katerina Eliasova c,
a Martina Travnickova a Iva Viehmannova a,⁎, Zuzana Bortlova a, Jan Vitamvas b, Petra Hlasna Cepkova a, Katerina Eliasova c,
Eva Svobodova a, Martina Travnickova a 2.3. Histological analysis of embryogenic structures The use of flow cytometry for detection of DNA content is also a very
convenient method to reveal somaclonal variation in regenerated plants,
as in vitro cultivation is also being associated with ploidy level changes
[13,19]. Especially in vitro long-term cultivation, plant regeneration
via indirect morphogenesis and preexistence of ploidy variation in
explant of polysomatic species may result in ploidy instability of in vitro
regenerated plants [20,21]. Flow cytometry has several advantages
compared to other methods; unlike chromosome countings, it is a rapid
method for ploidy testing since it allows the examination of large
numbers of cells as well as different types of tissues and cell layers [22]. In the present study, we examined somaclonal variation in plants
regenerated via somatic embryogenesis, where somatic embryos were
initiated using different growth regulators at various levels. Two
methods were employed, ISSR markers and flow cytometry. To our
knowledge this is the first report in S. sonchifolius on the assessment
of somaclonal variation in regenerated plantlets from indirect somatic
embryogenesis. The use of flow cytometry for detection of DNA content is also a very
convenient method to reveal somaclonal variation in regenerated plants,
as in vitro cultivation is also being associated with ploidy level changes
[13,19]. Especially in vitro long-term cultivation, plant regeneration
via indirect morphogenesis and preexistence of ploidy variation in
explant of polysomatic species may result in ploidy instability of in vitro
regenerated plants [20,21]. Flow cytometry has several advantages
compared to other methods; unlike chromosome countings, it is a rapid
method for ploidy testing since it allows the examination of large
numbers of cells as well as different types of tissues and cell layers [22]. To comfirm regeneration of plants via somatic embryos,
proembryogenic callus and somatic embryos at the cotyledonary
stage were fixed by immersion in 50% FAA (formaldehyde:acetic
acid:ethanol:water, 1:1:9:9) for 48–96 h. Dehydration was carried
out according to standard procedures with tissues being passed through
ethanol–butanol dehydration series, followed by embedding in paraffin
wax at 58–60°C [24,25]. The paraffin blocks were cut into ribbons of
thin sections (13 μm) with a rotary microtome (Thermo Shandon
Finesse, UK). The microtome sections were stained with 0.1% alcian
blue in 3% acetic acid and 0.1% nuclear fast red in 5% Al2(SO4)3 [26]
and photographed under a Nikon Eclipse 80i (Nikon, Japan) microscope
equipped with a camera Nikon Digital Sight DS-5Mc (Nikon, Japan). 2.3. Histological analysis of embryogenic structures In the present study, we examined somaclonal variation in plants
regenerated via somatic embryogenesis, where somatic embryos were
initiated using different growth regulators at various levels. Two
methods were employed, ISSR markers and flow cytometry. To our
knowledge this is the first report in S. sonchifolius on the assessment
of somaclonal variation in regenerated plantlets from indirect somatic
embryogenesis. In total, 60 randomly selected regenerated plants were subjected to
molecular and ploidy analysis. Evaluation was performed immediately
after plant regeneration, and after the third subculture. 1. Introduction explained because of high levels of vegetative propagation and long
term selection for desired agronomic traits in yacon [7]. Moreover, low
germination of pollen, few achenes with seeds and low seed viability
cause sexual reproduction of yacon to be very rare [8]. Yacon [Smallanthus sonchifolius (Poepp. and Endl.) H. Robinson] from
the Asteraceae family is a perennial herb native to the Andean region
and is known to have been cultivated since pre-Inca times. Yacon storage
roots are a particularly abundant source of fructooligosaccharides,
consisting of a series of inulin type β (2 →1) fructans, which have a
positive effect on human health [1,2]. The aerial part of yacon shows
strong antimicrobial activity [3], and the whole plant contains phenolic
compounds with antioxidative activity [4]. Low sexual reproductive capacity is also a major constraint facing
genetic breeding of this crop [8]. Biotechnological techniques, such as
induction and selection of somaclonal variation, in vitro chromosome
doubling and genetic transformation offer alternative ways to widen
genetic variability of the crop [9]. Numerous studies have been reported
on in vitro propagation of S. sonchifolius via shoot tips, axillary buds or
somatic embryos [10,11,12]. Nevertheless, in these studies, genetic
fidelity of regenerated plants had not been assessed, though especially
the presence of a disorganized growth phase in tissue culture is
considered as one of the factors that may cause somaclonal variation
[13]. Although occurrence of uncontrolled variation during the culture
process is mostly an unexpected and undesired phenomenon [14], it
can also be an important tool for plant breeding via generation of
new varieties with useful agronomic traits [13]. In different landraces, there appears to be significant variation
in morphological traits [5], as well as in antioxidative activity and
fructooligosaccharide content [6]. However, genetic divergence among
landraces, as revealed by molecular markers, is very low. This can be Somaclonal variation resulting from point mutations or the activation
of mobile elements can be detected by DNA-based marker systems, such
as randomly amplified polymorphic DNA (RAPD), amplified fragment
length polymorphism (AFLP), simple sequence repeat (SSR) and inter I. Viehmannova et al. / Electronic Journal of Biotechnology 17 (2014) 102–106 103 simple sequence repeat (ISSR) [13,15,16]. The low reproducibility of
RAPD, high cost of AFLP and the need to know the flanking sequences
to develop species specific primers for SSR polymorphism are the
major limitations of the first three methods. 2.1. Plant material Experiments were carried out on an octoploid clone of S. sonchifolius
(2n = 8x = 58), originated in Ecuador. In vitro plants were cultured on
MS medium [23] containing 1 mg l-1 thiamine, 100 mg l-1 myo-inositol,
30 g l-1 sucrose and 8 g l-1 agar, at pH 5.7. Cultures were maintained for
30 d at 25/23°C under a 16/8 h light/dark regime with 36 μmol m-2 s-1
cool white fluorescent light. Young petioles were excised from the plants. The petioles were cut into ca. 5 mm long segments and placed with the
abaxial surface toward the medium, five pieces to each flask. These
segments were used as an initial culture for somatic embryogenesis
experiments. 2. Materials and methods Flow cytometry measurement was performed using a Partec II
flow cytometer (Partec GmbH, Monster, Germany) equipped with
an HBO mercury arc lamp. Sample preparation followed the two-step
methodology according to Dolezel et al. [27]. Approximately 1 cm2 of
leaf tissue from both the sample and an appropriate amount of internal
reference standard (Bellis perennis L., 2C = 3.38 pg; Schonswetteer et al. [28]) were chopped with razor blade in 0.5 ml of ice-cold Otto I buffer
(0.1 M citric acid, 0.5% Tween 20). The suspension was filtered through
a 42-μm nylon mesh and incubated for 10 min at room temperature. The staining solution consisted of 1 ml of Otto II buffer (0.4 M
Na2HPO4.12H2O) supplemented by AT-selective fluorescent dye
4′,6-diamino-2-phenylindol
and
2-mercaptoethanol
in
final
concentrations of 4 μg ml- 1 and 2 μl ml-1, respectively. After a
5 min incubation at room temperature, the samples were analysed
with a flow cytometer. The stained nuclei were analysed at a
concentration of 5000 per sample. Obtained histograms were
evaluated using the FloMax software (ver. 2.4d; Partec GmbH,
Münster, Germany). For each analysed sample, DNA-ratios were
counted by dividing the mean of the dominant (G0/G1) peak of the
yacon sample by the mean of the G0/G1 peak of the internal standard. Coefficient of variation of the G0/G1 peaks was also recorded. 2.2. Regeneration of plants via somatic embryogenesis Petiole segments were cultivated in Erlenmeyer flasks (100 ml) with
25 ml of MS medium containing 30 g l-1 sucrose, 1 mg l-1 thiamine,
100 mg l-1 myo-inositol, 8 g l-1 agar (pH 5.7) and different plant growth
regulators (PGRs) at various concentrations. The treatments consisted
of combinations of 2,4-dichlorophenoxyacetic acid (2,4-D) at a
concentration of 1 mg l-1 and either zeatin or N6-benzyladenine (BA)
at concentrations 0.01, 0.05, or 0.1 mg l-1. Of these media, two were
adopted from the study of Correa et al. [12] in this experiment, namely
2,4-D (1 mg l-1) in combination with BA (0.01 mg l-1, or 0.1 mg l-1). The
media were denoted as A, B, C, D, E, F in order of appearance. Medium
without PGRs was used as control. Cultures were maintained at 25/23°C
under a 16/8 h light/dark regime with 36 μmol m-2 s-1 cool white
fluorescent light. After 8 weeks of culture, proembryogenic calli were
periodically subcultured onto the same medium every 20 d. A total of
20 explants were used per treatment in two replications. 1. Introduction ISSR marker is a technique
that overcomes most of these limitations. Moreover, it is a very simple,
fast, cost-effective, highly polymorphic and reliable method [17]. It
requires only a small quantity of a DNA sample and it does not need any
prior sequence information to design the primer [18], thus it is suitable
for the assessment of the genetic variation among in vitro regenerants. In vitro regenerated plants were isolated and transferred individually
to MS medium, and maintained together with control plants in a
sustainable manner described above, with regular subcultures of
30–40 d. All in vitro experiments were arranged as a completely
randomized design. Statistical analysis of data obtained from
flow cytometric analysis, was performed by analysis of variance
(ANOVA) and the significantly different means were identified by
using the Tukey's HSD test (p = 0.05) [StatSoft STATISTICA 9.0]. 2.3. Histological analysis of embryogenic structures 3.1. ISSR and flow cytometric analysis All 20 tested ISSR primers provided clear and scorable bands with
satisfactory intensity. A total of 7848 bands were generated from the
control plant and 60 in vitro regenerants. The size of the amplification
fragments ranged from 180 to 2500 bp. The number of bands for each
primer varied from 3 to 10, and an average of 6.95 bands was obtained
per ISSR primer. Eight tested primers generated polymorphic bands,
most of which provided one polymorphic band from their DNA profiles. Only ‘UBC823’ and ‘UBC841’ generated two polymorphic bands. Fig. 2
shows polymorphic amplification patterns obtained with ISSR primer
‘UBC834’. The total polymorphism scored is given in Table 1. In four
initiation media tested (i.e. A, B, E and F) at least one variable regenerant
in a different primer fragment profile was revealed. Regenerant F5 was
detected as the most variable, showing polymorphism in primers
`UBC823', `UBC834', `UBC836', `UBC840', `UBC841', `UBC844', `UBC845'
and `UBC856'. In most primers, polymorphic bands were absent in
the DNA pattern of variable regenerants when compared to that
one of the control plant, with the exception of primers ‘UBC836’ and
‘UBC841’ where extra bands were scored. The PCR reaction for each ISSR primer was performed in two
repetitions, only clear and completely reproducible bands were included
in data evaluation. The bands were scored as presence (1) and absence
(0) for each regenerant and control plant and were transformed into a
binary character matrix. Genetic dissimilarity was calculated with
Jaccard's distances using Darwin 5.0 software [29]. Table 1 Table 1
Primers used in ISSR polymorphism analysis, number and size of amplified fragments. Primers code
(UBC)
Sequence
5′–3′
Annealing temperature
(°C)
Total number of
bands amplified
Number of scorable
bands per primer
No. and frequency of polymorphic
bands per primer
Polymorphic
regenerants
Range of amplification
(pb)
UBC807
(AG)8T
46.5
420
7
0
350–1000
UBC809
(AG)8G
48.0
420
7
0
450–1250
UBC810
(GA)8T
50.0
540
9
0
300–1350
UBC823
(TC)8C
47.5
232
4
2 (50%)
A6, E1, E9, F5, F9
700–1300
UBC824
(TC)8G
48.0
600
10
0
300–1100
UBC828
(TG)8A
50.0
420
7
0
550–2500
UBC829
(TG)8C
52.5
480
8
0
500–1300
UBC834
(AG)8YT
52.0
239
4
1 (25%)
F5
300–1200
UBC835
(AG)8YC
50.0
420
7
0
350–2500
UBC836
(AG)8YA
48.0
423
9
1 (11%)
B8, E1, F5
500–2000
UBC840
(GA)8YT
46.5
478
8
1 (11%)
E9, F5
180–1000
UBC841
(GA)8YC
52.0
423
9
2 (22%)
A6, F5
200–1300
UBC844
(CT)8RC
47.5
297
5
1 (20%)
A6, E9, F5
600–1250
UBC845
(CT)8RG
47.5
179
3
1 (33%)
F5
800–1300
UBC847
(CA)8RC
52.5
360
6
0
550–2000
UBC851
(GT)8CT G
52.5
540
9
0
650–1900
UBC854
(TC)8RG
50.0
180
3
0
500–1300
UBC855
(AC)8YT
53.0
360
10
0
700–1350
UBC856
(AC)8YA
54.0
597
10
1 (10%)
A6, E9, F5
500–1300
UBC873
(GACA)4
46.5
240
4
0
1000–1300
Total
7848
139
10 (7.19%) Table 1
Primers used in ISSR polymorphism analysis, number and size of amplified fragments. via somatic embryogenesis (Fig. 1b, c) was achieved from each of the
tested initiation media and in vitro plantlets did not show any evident
morphological abnormalities. Ten randomly selected plants from the
six treatments were subjected to ISSR and flow cytometric analysis to
reveal potential somaclonal variation. reaction for individual primers. The cycling conditions were as follows:
initial denaturation step for 5 min at 94°C, followed by 40 cycles of 1 min
at 94°C (denaturing), 1 min at specific annealing temperature (Table 1),
2 min at 72°C (extension), and 1 cycle for 10 min final extension step at
72°C. Electrophoretic separation was performed with 5.5 μl of amplified
products on 2% agarose gel in 1× TBE buffer. Gels were run for about
3–3.5 h at 55 V. DNA amplification products were stained with SYBR®
Safe DNA Gel Stain (Invitrogen, USA). 2.5. DNA extraction and ISSR analysis Total DNA was extracted from leaf material obtained from 60
regenerated plantlets and initial plant material was used as control. From the fresh leaves were taken the samples of about 100 mg weight. For the extraction of genomic DNA the Invisorb® Spin Plant Mini Kit
(Stratec Molecular, Germany) was used. Twenty ISSR primers (The
University of British Columbia Biotechnology Laboratory, Canada)
were tested. Polymerase chain reaction (PCR) amplifications were
performed in a 20 μl reaction volume containing 1 μl of template DNA
at concentration 50 ng μl-1, 0.5 μl of primer at concentration 0.5 μM,
10 μl PPP Master Mix (Top-Bio, Czech Republic), 0.2 μl BSA (Fermentas,
Germany), 8.3 μl PCR H2O (Top-Bio, Czech Republic). Amplifications
were performed in a T100™Cycler (Bio-Rad, USA). The PCR was carried
out with modifications of the annealing temperature to optimize the The proembryogenic calli were transferred into Erlenmeyer flasks
(100 ml) with 25 ml of embryo induction medium. Full strength MS
medium without PGRs, containing 30 g l-1 sucrose, 1 mg l-1 thiamine
and 100 mg l-1 myo-inositol and 8 g l-1 agar (pH 5.7) was used. The cul-
tures were kept at 25/23°C under a 16/8 h light/dark regime. A total of
ten calli were used per treatment in three replications. I. Viehmannova et al. / Electronic Journal of Biotechnology 17 (2014) 102–106 104 3. Results and discussion In our experiment, callus from petiole segments started to appear
by the 3rd week on all initiation media tested. These calli were
yellowish-green, friable and fast growing. Histological examination
confirmed numerous meristematic tissues consisting of small and
dense cells in the callus, suggesting proembryogenic structure formation
(Fig. 1a). The induction frequency of proembryogenic callus in the
treatments varied from 70 to 100%. The maturation of somatic
embryos and development into plantlets was achieved after transfer
of proembryogenic calli to induction media without auxin as was
reported in the previous study by Correa et al. [12]. Histological analysis
confirmed the bipolar character of developed structures and showed no
vascular connection with the callus. Successful regeneration of plants The ISSR data was used to calculate the Jaccard's distances. It
revealed rather lower genetic variability in tested samples, i.e. 0.104,
0.020, 0.040, 0.106, 0.163 and 0.040 for the regenerants A6, B8, E1, E9, Fig. 1. Somatic embryogenesis in yacon. (a) Proembryonic callus with meristematic centres (bar, 0,5 mm). (b) Early cotyledonary embryo (bar, 0.8 mm). (c) Germinated well developed
embryo (bar, 1.5 mm). (Ct: Cotyledon; Hy: Hypocotyl; ME: Meristematic Centres; Ra: Radicle; SA: Shoot Apex). Fig. 1. Somatic embryogenesis in yacon. (a) Proembryonic callus with meristematic centres (bar, 0,5 mm). (b) Early cotyledonary embryo (bar, 0.8 mm). (c) Germinated well developed
embryo (bar, 1.5 mm). (Ct: Cotyledon; Hy: Hypocotyl; ME: Meristematic Centres; Ra: Radicle; SA: Shoot Apex). 105 I. Viehmannova et al. / Electronic Journal of Biotechnology 17 (2014) 102–106 Fig. 2. ISSR profile of control plant and in vitro regenerants (F1–F10) of S. sonchifolius using
primer ‘UBC834’ (L: ladder; CP: control plant). Linear histograms of relative nuclear DNA content showed in all
cases two peaks, the first corresponding to somatic nuclei arrested in
the G0/G1 phase of the cell cycle, and belonging to the internal standard
Bellis perennis, and the second representing nuclei of the yacon sample
in the G0/G1 phase (Fig. 3a, b). The DNA-ratios of regenerated plantlets,
obtained from different initiation media, varied from 1.708 to 1.722, and
they were not significantly different to that of the control plant (1.709),
suggesting that the plants obtained via somatic embryogenesis had
maintained stable octoploid level. Coefficients of variation did not
exceed 2.48 in any of the measurements. Absence of alterations in
ploidy level indicates that there is no correlation between molecular
and genomic changes. 3. Results and discussion Somaclonal variation in terms of genome changes is usually associated
with aneuploidy or polyploidy [35]. In many diploid and tetraploid
species, increase of ploidy level in regenerants was reported, especially
when plants were recovered from long-term callus or suspension cultures
[20,36]. Octoploid yacon, however, seems to be stable and not susceptible
to ploidy level alteration, as demonstrated also in a previous study
where extremely low frequency of polyploids was obtained after
in vitro induction of polyploidization by means of colchicin and oryzalin
[37]. Moreover, histograms in the present study showed only two peaks,
indicating no polysomaty. Thus, pre-existence of ploidy variability in
initial explants might be excluded. Fig. 2. ISSR profile of control plant and in vitro regenerants (F1–F10) of S. sonchifolius using
primer ‘UBC834’ (L: ladder; CP: control plant). F5 and F9, respectively. The other regenerants had a distance value of 0
compared to the control plant, indicating no genetic variation. To our best knowledge, no study on somaclonal variation in
plants of yacon regenerated via somatic embryogenesis has been
made before. ISSR markers proved to be a powerful technique to
reveal somaclonal variation. Based on our results, it can be concluded
that somatic embryogenesis probably may not be favourable for
large-scale propagation and conservation purposes in yacon, as the
risk of genetic instability cannot be excluded. Nevertheless, it
seems to be an effective technique to widen genetic variability and
it can be used in yacon improvement, especially when low sexual
reproductive capacity hinders classical ways of breeding. Besides,
somatic embryos may serve as a valuable source for studies of
biochemical, physiological and morphological processes during
embryo developmental stages, as the lack of zygotic embryos in
yacon does not allow us to carry out this type of research. ISSR analysis was found to be a reliable method, enabling rapid
evaluation of somaclonal variability by fast scanning of the whole
genome as reported by Rathore et al. [30]. In our case, the method
revealed genetic variability in 6 among 60 plants under study. Eight
primers were polymorphic and generated 10 polymorphic bands with
7.19% mean polymorphism. Similarly, many recent studies have used
ISSR analysis to determine somaclonal variation of in vitro regenerants,
e.g. in Nothapodytes foetida 7.53% polymorphism [31], in Aloe vera 15.1%
polymorphism [30], and in Cymbopogon pendulus 9.4% polymorphism
[32] was detected. Since ISSR analysis is not effective in detection of
epigenetic changes, Linacero et al. 3. Results and discussion [33] applied a modified method of
ISSR using methylation sensitive restriction enzymes to digest DNA,
followed by PCR amplification, to detect both epigenetic and genetic
changes in somatic-embryo derived plants of Secale cereale. In yacon,
however, detailed research on epigenetic changes still need to be
carried out. References The use of aluminium lake of nuclear fast red in plant material
successively with alcian blue. Biol Plant 1973;15:294–7. http://dx.doi.org/10.1007/BF02922713. [27] Dolezel J, Greilhuber J, Suda J. Flow cytometry with plant cells. Weinheim: Wiley-VCH;
2007. [8] Mansilla R, López C, Flores M, Espejo R. Reproductive biology study in five accessions
of Smallanthus sonchifolius (Poepp. & Endl.) Robinson. Ecol Appl 2010;9:167–75. [28] Schonswetter P, Suda J, Popp M, Weiss-Schneeweiss H, Brochmann C. Circumpolar
phylogeography of Juncus biglumis (Juncaceae) inferred from AFLP fingerprints,
cpDNA sequences, nuclear DNA content and chromosome numbers. Mol Phylogenet
Evol 2007;42:92–103. http://dx.doi.org/10.1016/j.ympev.2006.06.016. [9] Takagi H, Sugawara S, Saito T, Tasaki H, Lu YX, Guan KY, et al. Plant regeneration via
direct and indirect adventitious shoot formation and chromosome-doubled
somaclonal variation in Titanotrichum oldhamii (Hemsl.) Solereder. Plant Biotechnol
Rep 2011;5:187–95. http://dx.doi.org/10.1007/s11816-011-0172-5. [29] Perrier X, Jacquemond-Collet JP. DARwin software. http://darwin.cirad.fr/darwin;
2006 . [Accessed 23 June 2012]. Rep 2011;5:187–95. http://dx.doi.org/10.1007/s11816-011-0172-5. [10] Hamada M, Hosoki T, Kusabiraki Y. Mass propagation of yacon (Polymnia sonchifolia)
by repeated node culture. Plant Tissue Cult Lett 1990;7:35–7. http://dx.doi.org/10.5511/plantbiotechnology1984.7.35. [30] Rathore MS, Chikara J, Mastan SG, Rahman H, Anand KGV, Shekhawat NS. Assessment
of genetic stability and instability of tissue culture-propagated plantlets of Aloe vera L. by RAPD and ISSR markers. Appl Biochem Biotechnol 2011;165:1356–65. http://dx.doi.org/10.1007/s12010-011-9352-6. p
g
p
gy
[11] Mogor G, Mogor AF, Lima GPP. Bud source, asepsis and benzylaminopurine (BAP) effect
on yacon (Polymnia sonchifolia) micropropagation. Acta Horticult 2003;597:311–3. p
g
[31] Chandrika M, Rai VR, Thoyajaksha. ISSR marker based analysis of micropropagated
plantlets of Nothapodytes foetida. Biol Plant 2010;54:561–5. http://dx.doi.org/10.1007/s10535-010-0100-5. y
(
y
f
)
p
p g
[12] Correa CM, De Oliveira GN, Astarita LV, Santarem ER. Plant regeneration through
somatic embryogenesis of yacon [Smallanthus sonchifolius (Poepp. and Endl.) H. Robinson]. Braz Arch Biol Technol 2009;52:549–54. http://dx.doi.org/10.1590/S1516-89132009000300005. p
p
y
f
http://dx.doi.org/10.1007/s10535-010-0100-5. p
g
[32] Bhattacharya S, Bandopadhyay TK, Ghosh PD. Somatic embryogenesis in Cymbopogon
pendulus and evaluation of clonal fidelity of regenerants using ISSR marker. Sci Hortic
2011;123:505–13. http://dx.doi.org/10.1016/j.scienta.2009.10.011. [13] Bairu MW, Aremu AO, Van Staden J. Somaclonal variation in plants: Causes and
detection methods. Plant Growth Regul 2011;63:147–73. http://dx.doi.org/10.1007/s10725-010-9554-x. 2011;123:505–13. http://dx.doi.org/10.1016/j.scienta.2009.10.0 [33] Linacero R, Rueda J, Esquivel E, Bellido A, Domingo A, Vazquez AM. Genetic and epi-
genetic relationship in rye, Secale cereale L., somaclonal variation within somatic
embryo-derived plants. In Vitro Cell Dev Biol-Plant 2011;47:618–28. http://dx.doi.org/10.1007/s11627-011-9407-y. [14] Karp A. Origins, causes and uses of variation in plant tissue cultures. References [1] Goto K, Fukai K, Hikida J, Nanjo F, Hara Y. Isolation and structural analysis of
oligosaccharides from yacon (Polymnia sonchifolia). Biosci Biotechnol Biochem
1995;59:2346–7. http://dx.doi.org/10.1271/bbb.59.2346. [20] Pontaroli AC, Camadro EL. Somaclonal variation in Asparagus officinalis plants
regenerated by organogenesis from long-term callus cultures. Genet Mol Biol
2005;28:423–30. http://dx.doi.org/10.1590/S1415-47572005000300015. [2] Grau A, Rea J. Yacón — Smallanthus sonchifolius (Poepp. & Endl.) H. Robinson. In:
Hermann M, Heller J, editors. Andean roots and tubers: Ahipa, arracacha, maca
and yacon. Promoting the conservation and use of underutilized and neglected
crops. Rome: Gatersleben/IPGRI; 1997. p. 199–242. p
g
[21] Nakano M, Nomizu T, Mizunashi K, Suzuki M, Mori S, Kuwayama S, et al. Somaclonal
variation in Tricyrtis hirta plants regenerated from 1-year-old embryogenic callus
cultures. Sci Hortic 2006;110:366–71. http://dx.doi.org/10.1016/j.scienta.2006.07.026. [3] Lin F, Hasegawa M, Kodama O. Purification and identification of antimicrobial
sesquiterpene lactones from yacon (Smallanthus sonchifolius) leaves. Biosci
Biotechnol Biochem 2003;67:2154–9. http://dx.doi.org/10.1271/bbb.67.2154. [22] Dhooghe E, Van Laere K, Eeckhaut T, Leus L, Van Huylenbroeck J. Mitotic chromosome
doubling of plant tissues in vitro. Plant Cell Tissue Organ Cult 2011;104:359–73. http://dx.doi.org/10.1007/s11240-010-9786-5. [4] Campos D, Betalleluz-Pallardel I, Chirinos R, Aguilar-Galvez A, Noratto G, Pedreschi
R. Prebiotic effects of yacon (Smallanthus sonchifolius Poepp. & Endl), a source of
fructooligosaccharides and phenolic compounds with antioxidant activity. Food
Chem 2012;135:1592–9. http://dx.doi.org/10.1016/j.foodchem.2012.05.088. [23] Murashige T, Skoog F. A revised medium for rapid growth and bio assays with
tobacco tissue cultures. Physiol Plant 1962;15:473–97. http://dx.doi.org/10.1111/j.1399-3054.1962.tb08052.x. [5] Lebeda A, Dolezalova I, Dziechciarkova M, Dolezal K, Frcek J. Morphological variability
and isozyme polymorphism in maca and yacon. Czech J Genet Plant Breed
2003;39:1–8. [24] Svobodova H, Albrechtova J, Kumstyrova L, Lipavska H, Vagner M, Vondrakova Z. Somatic embryogenesis in Norway spruce: Anatomical study of embryo development
and influence of polyethylene glycol on maturation process. Plant Physiol Biochem
1999;37:209–21. http://dx.doi.org/10.1016/S0981-9428(99)80036-9. [6] Lachman J, Fernández EC, Viehmannova I, Sulc M, Cepkova P. Total phenolic content of
yacon (Smallanthus sonchifolius) rhizomes, leaves, and roots affected by genotype. N Z J
Crop Hortic Sci 2007;35:117–23. http://dx.doi.org/10.1080/01140670709510175. [25] Gelalcha S, Hanchinal RR. Histological analysis for rust resistance in wheat (Triticum
aestivum L.). Afr Crop Sci Conf Proc 2003;6:363–6. p
p
g
[7] Milella L, Martelli G, Salava J, Fernández E, Ovesna J, Greco I. Total phenolic content,
RAPDs, AFLPs and morphological traits for the analysis of variability in Smallanthus
sonchifolius. Genet Resour Crop Evol 2011;58:545–51. http://dx.doi.org/10.1007/s10722-010-9597-x. [26] Benes K, Kaminek M. Acknowledgements PCR-based markers can be used for genetic discrimination purposes
to locate and isolate mutations linked to these markers [19], however,
some important variations like genomic mutations may not be detected
[34]. For this reason, ploidy level detection is a useful complementary
approach [19]. This research was financially supported by an Internal Grant Agency of
the Czech University of Life Science Prague CIGA (Project No. 20115004)
and an Internal Grant Agency of Faculty of Tropical AgriSciences, Czech
University of Life Sciences Prague IGA (Project No. 20135119). Fig. 3. Representative flow cytometric histograms documenting the relative DNA content of in vitro plants. (a) Control plant; (b) Randomly selected in vitro regenerant. The peak indicated
as “*” corresponds to the internal reference standard (Bellis perennis). Fig. 3. Representative flow cytometric histograms documenting the relative DNA content of in vitro plants. (a) Control plant; (b) Randomly selected in vitro regenerant. The peak indicated
as “*” corresponds to the internal reference standard (Bellis perennis). I. Viehmannova et al. / Electronic Journal of Biotechnology 17 (2014) 102–106 106 [19] Jin SX, Mushke R, Zhu HG, Tu L, Lin ZX, Zhang YX, et al. Detection of somaclonal
variation of cotton (Gossypium hirsutum) using cytogenetics, flow cytometry and
molecular markers. Plant Cell Rep 2008;27:1303–16. http://dx.doi.org/10.1007/s00299-008-0557-2. References References In: Vasil IK,
Thorpe TA, editors. Plant cell and tissue culture. Dordrecht: Kluwer Academic
Publishers; 1994. p. 139–52. p
[15] Phillips RL, Kaeppler SM, Olhoft P. Genetic instability of plant tissue cultures:
Breakdown of normal controls. Proc Natl Acad Sci U S A 1996;91:5222–6. http://dx.doi.org/10.1073/pnas.91.12.5222. p
g
y
[34] Cuesta C, Ordas RJ, Rodríguez A, Fernández B. PCR-based molecular markers for
assessment of somaclonal variation in Pinus pinea clones micropropagated in vitro. Biol Plant 2010;54:435–42. http://dx.doi.org/10.1007/s10535-010-0079-y. p
g
y
[35] Larkin PJ, Scowcroft WR. Somaclonal variation — a novel source of variability from
cell cultures for plant improvement. Theor Appl Genet 1981;60:197–214. http://dx.doi.org/10.1007/BF02342540. p
g
p
[16] Aversano R, Di Dato F, Di Matteo A, Frusciante L, Carputo D. AFLP analysis to assess
genomic stability in Solanum regenerants derived from wild and cultivated species. Plant Biotechnol Rep 2011;5:265–71. http://dx.doi.org/10.1007/s11816-011-0181-4. http://dx.doi.org/10.1007/BF02342540. [36] Clarindo WR, Carvalho CR, Mendonca MAC. Ploidy instability in long-term in vitro
cultures of Coffea arabica L. monitored by flow cytometry. Plant Growth Regul
2012;68:533–8. http://dx.doi.org/10.1007/s10725-012-9740-0. [17] Reddy MP, Sarla N, Siddiq EA. Inter simple sequence repeat (ISSR) polymorphism
and its application in plant breeding. Euphytica 2002;128:9–17. http://dx.doi.org/10.1023/A:1020691618797. [37] Viehmannova I, Fernández E, Bechyne M, Vyvadilova M, Greplova M. In vitro induction
of polyploidy in yacon (Smallanthus sonchifolius). Plant Cell Tissue Organ Cult
2009;97:21–5. http://dx.doi.org/10.1007/s11240-008-9494-6. [18] Lakshmanan V, Venkataramareddy SR, Neelwarne B. Molecular analysis of genetic
stability in long-term micropropagated shoots of banana using RAPD and ISSR
markers. Electron J Biotechnol 2007;10. http://dx.doi.org/10.2225/vol10-issue1-fulltext-12.
|
https://openalex.org/W2887920589
|
https://www.aclweb.org/anthology/D18-1103.pdf
|
English
| null |
Rapid Adaptation of Neural Machine Translation to New Languages
| null | 2,018
|
cc-by
| 4,034
|
1Code to reproduce experiments at https://github.
com/neubig/rapid-adaptation Graham Neubig, Junjie Hu
Language Technologies Institute, Carnegie Mellon University
{gneubig,junjieh}@cs.cmu.edu and Blunsom (2013); Bahdanau et al. (2015)), re-
quire large amounts of training data, and creating
high-quality systems in low-resource languages
(LRLs) is a difficult challenge where research ef-
forts have just begun (Gu et al., 2018). Another
hurdle, which to our knowledge has not been cov-
ered in previous research, is the time it takes to
create such a system. In a crisis situation, time
is of the essence, and systems that require days or
weeks of training will not be desirable or even fea-
sible. Abstract This paper examines the problem of adapt-
ing neural machine translation systems to new,
low-resourced languages (LRLs) as effectively
and rapidly as possible. We propose meth-
ods based on starting with massively multi-
lingual “seed models”, which can be trained
ahead-of-time, and then continuing training on
data related to the LRL. We contrast a num-
ber of strategies, leading to a novel, simple,
yet effective method of “similar-language reg-
ularization”, where we jointly train on both a
LRL of interest and a similar high-resourced
language to prevent over-fitting to small LRL
data. Experiments demonstrate that massively
multilingual models, even without any explicit
adaptation, are surprisingly effective, achiev-
ing BLEU scores of up to 15.5 with no data
from the LRL, and that the proposed similar-
language regularization method improves over
other adaptation methods by 1.7 BLEU points
average over 4 LRL settings.1 In this paper we focus on the question: how can
we create MT systems for new language pairs as
accurately as possible, and as quickly as possible? To examine this question we propose NMT meth-
ods at the intersection of cross-lingual transfer
learning (Zoph et al., 2016) and multilingual train-
ing (Johnson et al., 2016), two paradigms that, to
our knowledge, have not been used together in pre-
vious work. Our methods, laid out in §2 follow the
process of training a seed model on a large num-
ber of languages, then fine-tuning the model to im-
prove its performance on the language of interest. We propose a novel method of similar-language
regularization (SLR) where training data from a
second similar languages is used to help prevent
over-fitting to the small LRL dataset. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 875–880
Brussels, Belgium, October 31 - November 4, 2018. c⃝2018 Association for Computational Linguistics Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 875–880
Brussels, Belgium, October 31 - November 4, 2018. c⃝2018 Association for Computational Linguistics
875 3“Related” could mean different things: typologically re-
lated or having high lexical overlap. In our experiments our
LRLs are all selected to have an helper that is highly similar
in both aspects, but choosing an appropriate helper when this
is not the case is an interesting problem for future work. 2
Training Paradigms In this paper, we consider the setting where we
have a source LRL of interest, and we want to
translate into English.2
All of our adaptation
methods are based on first training on larger data
including other languages, then fine-tuning the
model to be specifically tailored to the LRL. We
first discuss a few multilingual training paradigms
from previous literature (§2.1), then discuss our
proposed adaptation methods (§2.2). In the following, we will consider adaptation
methods that focus on tailoring a more general
model (i.e. bi-source or universal) to a more spe-
cific model (i.e. single-source or bi-source). 1
Introduction When disaster strikes, news and social media are
invaluable sources of information, allowing hu-
manitarian organizations to rapidly mitigate crisis
situations and save lives (Vieweg et al., 2010; Neu-
big et al., 2011; Starbird et al., 2012). However,
language barriers looms large over these efforts,
especially when disasters occur in parts of the
world that use less common languages. In these
cases, machine translation (MT) technology can
be a valuable tool, with one widely-heralded suc-
cess story being the deployment of Haitian Creole-
to-English translation systems during the earth-
quakes in Haiti (Lewis, 2010; Munro, 2010). In the experiments in §3, we attempt to answer
two questions: (1) Which method of creating mul-
tilingual systems and adapting them to an LRL is
the most effective way to increase accuracy? (2)
How can we create the strongest system possible
with a bare minimum of training time? The re-
sults are sometimes surprising – we first find that
a single monolithic model trained on 57 languages
can achieve BLEU scores as high as 15.5 with no
training data in the new source language whatso-
ever. In addition, the proposed method starting
with a universal model then fine-tuning with the
SLR proves most effective, achieving gains of 1.7 However, data-driven MT systems, particularly
neural machine translation (NMT; Kalchbrenner 875 BLEU points averaged over several language pairs
compared to previous methods adapting to only
the LRL. model that has wide coverage of vocabulary and
syntax of a large number of languages, but also
has the drawback in that a single model must be
able to express information about all the languages
in the training set within its limited parameter bud-
get. Thus, it is reasonable to expect that this model
may achieve worse accuracy than a model created
specifically to handle a particular source language. In the following, we will consider adaptation
methods that focus on tailoring a more general
model (i.e. bi-source or universal) to a more spe-
cific model (i.e. single-source or bi-source). model that has wide coverage of vocabulary and
syntax of a large number of languages, but also
has the drawback in that a single model must be
able to express information about all the languages
in the training set within its limited parameter bud-
get. Thus, it is reasonable to expect that this model
may achieve worse accuracy than a model created
specifically to handle a particular source language. 2.2
Adaptation to New Languages As noted in the introduction, there are two major
requirements: the accuracy of the system is im-
portant and the training time required from when
we learn of a need for translation to when we can
first start producing adequate results. Throughout
the discussion, we will compare various adapta-
tion paradigms with respect to these two aspects. 4In contrast to Gu et al. (2018), who train on 10 languages.
Malaviya et al. (2017); Tiedemann (2018) train NMT on over
1,000 languages, but only as a feature extractor for down-
stream tasks; MT accuracy itself is not evaluated. 2.1
Multilingual Modeling Methods We use three varieties of multilingual training:
Single-source modeling (“Sing.”)
is the first
method, using only parallel data between the LRL
of interest and English. This method is straightfor-
ward and the resulting model will be most highly
tailored to the final test language pair, but the
method also has the obvious disadvantage that
training data is very sparse. 2Translation into LRLs, is a challenging and interesting
problem in it’s own right, but beyond the scope of the paper. 2.2.1
Adaptation by Fine-tuning In our experiments (§3.1) this en-
tails training systems on 58 source languages, to
our knowledge the largest reported in NMT exper-
iments.4 This paradigm allows us to train a single 876 LRL
train
dev
test
HRL
train
aze
5.94k
671
903
tur
182k
bel
4.51k
248
664
rus
208k
glg
10.0k
682
1,007
por
185k
slk
61.5k
2,271
2,445
ces
103k
Table 1: Data sizes in sentences for LRL/HRL pairs word embeddings, 512-dimensional hidden states,
and a standard LSTM-based decoder. Following standard practice (Sennrich et al.,
2016; Denkowski and Neubig, 2017), we break
low-frequency words into subwords using the
sentencepiece toolkit.6 There are two alter-
natives for creating subword units: jointly learning
subwords over all source language, or separately
learning subwords for each source language, then
taking the union of all the subword vocabularies as
the vocabulary for the multilingual model. Previ-
ous work on multilingual training has preferred the
former (Nguyen and Chiang, 2017), but in this pa-
per we use the latter for two reasons: (1) because
data in the LRL will not affect the subword units
from the other languages, in the cold-start sce-
nario we can postpone creation of subword units
for the LRL until directly before we start train-
ing on the LRL itself, and (2) we need not be
concerned with the LRL being “overwhelmed” by
the higher-resourced languages when calculating
statistics used in the creation of subword units, be-
cause all languages get an equal share.7 In the ex-
periments, we use a subword vocabulary of 8,000
for each language. on all languages but the LRL (All−). 6https://github.com/google/
sentencepiece, using the unigram training setting.
7 Preliminary experiments found both comparable: with
scores of 20.1 and 19.4 for separate and joint respectively.
8http://statmt.org/moses
9https://github.com/artetxem/undreamt 2.2.1
Adaptation by Fine-tuning Our first adaptation method, inspired by Zoph
et al. (2016) is based on fine-tuning to the source
language of interest. Within our experiments, we
will test this setting, but also make two distinctions
between the types of adaptation: Bi-source modeling (“Bi”) trains an MT system
with two source languages:
one LRL that we
would like to translate from, and a second highly
related high-resource language (HRL): the helper
source language.3
This method is inspired by
Johnson et al. (2016), who examine multilingual
translation models to/from English and two highly
related languages such as Spanish/Portuguese or
Japanese/Korean. The advantage of this method is
that it allows the LRL to learn from a highly simi-
lar helper, potentially increasing accuracy. Seed Model Variety: Zoph et al. (2016) per-
formed experiments taking a bilingual system
trained on a different language (e.g. French) and
adapting it to a new LRL (e.g. Uzbek). We can
also take universal model and adapt it to the new
language, a setting that we examine (to our knowl-
edge, for the first time) in this work. Warm vs. Cold Start:
Another contrast is
whether we have training data for the LRL of inter-
est while training the original system, or whether
we only receive training data after the original
model has already been trained. We call the former
warm start, and the latter cold start. Intuitively,
we expect warm-start training to perform better,
as having access to the LRL of interest during the
training of the original model will ensure that it
can handle the LRL to some extent. However, the
cold-start scenario is also of interest: we may want
to spend large amounts of time training a strong
model, then quickly adapt to a new language that
we have never seen before in our training data as
data becomes available. For the cold-start models,
we start with a model that is only trained on the
HRL similar to the LRL (Bi−), or a model trained All-source modeling (“All”) trains not only on a
couple source languages, but instead creates a uni-
versal model on all of the languages that we have
at our disposal. 3.1
Experimental Setup We perform experiments on the 58-language-to-
English TED corpus (Qi et al., 2018), which is
ideal for our purposes because it has a wide variety
of languages over several language families, some
high-resourced and some low-resourced. Like
Qi et al. (2018), we experiment with Azerbaijani
(aze), Belarusian (bel), and Galician (glg) to En-
glish, and also additionally add Slovak (slk), a
slightly higher resourced language, for contrast. These languages are all paired with a similar HRL:
Turkish (tur), Russian (rus), Portuguese (por), and
Czech (ces) respectively. Data sizes are shown in
Table 1. 2.2.2
Similar-Language Regularization One problem with adapting to a small amount of
data in the target language is that it will be very
easy for the model to over-fit to the small train-
ing set. To alleviate this problem, we propose a
method of similar language regularization: while
training to adapt to the language of interest, we
also add some data from another similar HRL
that has sufficient resources to help prevent over-
fitting. We do this in two ways: Corpus Concatenation: Simply concatenate the
data from the two corpora, so that we have a small
amount of data in the LRL, and a large amount of
data in the similar HRL. Balanced Sampling: Every time we select a mini-
batch to do training, we either sample it from the
LRL, or from the HRL according to a fixed ra-
tio. We try different sampling strategies, includ-
ing sampling with a 1-to-1 ratio, 1-to-2 ratio, and
1-to-4 ratio for the LRL and HRL respectively. We also compare with two additional baselines:
phrase-based MT implemented in Moses,8 and
unsupervised NMT implemented in undreamt.9
Moses is trained on the bilingual data only (train-
ing multilingually reduced average accuracy), and
undreamt is trained on all monolingual data
available for the LRL and English. 5Found in examples/stanford-iwslt/ 3.2
Experimental Results All-→Bi
All-→Bi 1-1
Hours Training
BLEU 0
1
2
3
4
5
6
7
8
9
10
0
0.03
0.06
0.09
0.12
0.15
0.18
0.21
bel-rus
Sing. Bi
All-→Sing. All-→Bi
All-→Bi 1-1
Hours Training
BLEU Table 2: BLEU for single-source (Sing.), bi-source
(Bi), and all-source universal (All) models, with
adapted counterparts. 1-1, 1-2, 1-4 indicate balanced
sampling from §2.2. Bold indicates highest score. Table 2: BLEU for single-source (Sing.), bi-source
(Bi), and all-source universal (All) models, with
adapted counterparts. 1-1, 1-2, 1-4 indicate balanced
sampling from §2.2. Bold indicates highest score. Figure 1: Example of adaptation on the aze-eng and
bel-eng development sets language regularization (“→Bi”), we can see that
this helps significantly over adapting directly to
the LRL, particularly in the cold-start case where
we can observe gains of up to 1.7 BLEU points. Finally, in our data setting, corpus concatenation
outperforms balanced sampling in both the cold-
start and warm-start scenarios. language regularization (“→Bi”), we can see that
this helps significantly over adapting directly to
the LRL, particularly in the cold-start case where
we can observe gains of up to 1.7 BLEU points. Finally, in our data setting, corpus concatenation
outperforms balanced sampling in both the cold-
start and warm-start scenarios. capacity, training on a highly resourced language
is effective. Comparing with the phrase-based
baseline, as noted by Koehn and Knowles (2017)
NMT tends to underperform on low-resource set-
tings when trained only on the data available for
these languages. However, multilingual training
of any variety quickly remedies this issue; all out-
perform phrase-based handily. How Can We Adapt Most Efficiently? Finally,
we revisit adapting to new languages efficiently,
with Figure 1 showing BLEU vs. hours training
for the aze/tur and bel/rus source language pairs
(others were similar). We can see that in all cases
the cold-start models (All−→) either outperform
or are comparable in final accuracy to the from-
scratch single-source and bi-source models. In ad-
dition, all of the adapted models converge faster
than the bi-source from-scratch trained models, in-
dicating that adapting from seed models is a good
strategy for rapid construction of MT systems in
new languages. Comparing the cold-start adap-
tation strategies, we can see that in general, the
higher the density of target language training data,
the faster the training converges to a solution, but
the worse the final solution is. 3.2
Experimental Results This suggests that
there is a speed/accuracy tradeoff in the amount
of similar language regularization we apply dur-
ing fine-tuning. More interestingly, examining the cold-start re-
sults, we can see that even systems with no data
in the target language are able to achieve non-
trivial accuracies, up to 15.5 BLEU on glg-eng. Interestingly, in the cold-start scenario, the All−
model bests the Bi−model, indicating that mas-
sively multilingual training is more useful in this
setting. In contrast, the unsupervised NMT model
struggles, achieving a BLEU score of around 0 for
all language pairs – this is because unsupervised
NMT requires high-quality monolingual embed-
dings from the same distribution, which can be
trained easily in English, but are not available in
the low-resource languages we are considering. Does Adaptation Help? Regarding adaptation,
we can first observe that regardless of the origi-
nal model and method for adaptation, adaptation
is helpful, particularly (and unsurprisingly) in the
cold-start case. When adapting directly to only
the target language (“→Sing.”), adapting from the
massively multilingual model performs better, in-
dicating that information about all input languages
is better than just a single language. Next, compar-
ing with our proposed method of adding similar 3.2
Experimental Results Table 2 shows our main translation results, with
warm-start scenarios in the upper half and cold-
start scenarios in the lower half. Does Multilingual Training Help? To answer
this question, we can compare the warm-start
Sing., Bi, and All settings, and find that the an-
swer is a resounding yes, gains of 7-13 BLEU
points are obtained by going from single-source
to bi-source or all-source training, corroborating
previous work (Gu et al., 2018). Bi-source mod-
els tend to perform slightly better than all-source
models, indicating that given identical parameter Models are implemented using xnmt (Neu-
big et al., 2018), commit 8173b1f, and start
with the recipe for training on IWSLT TED5. The
model consists of an attentional neural machine
translation model (Bahdanau et al., 2015), using
bi-directional LSTM encoders, 128-dimensional 877 0
1
2
3
4
5
6
7
8
9
10
0
0.03
0.06
0.09
0.12
0.15
0.18
0.21
bel-rus
Sing. Bi
All-→Sing. All-→Bi
All-→Bi 1-1
Hours Training
BLEU
0
1
2
3
4
5
6
7
8
9
0
0.03
0.06
0.09
0.12
0.15
aze-tur
Sing. Bi
All-→Sing. All-→Bi
All-→Bi 1-1
Hours Training
BLEU
Figure 1: Example of adaptation on the aze-eng and
bel-eng development sets Strategy
aze/tur
bel/rus
glg/por
slk/ces
Avg. Phrase-based
5.9
10.5
22.3
23.0
15.4
Unsupervised NMT
0.0
0.3
0.4
0.0
0.2
Warm Start
Sing. 2.7
2.8
16.2
24.0
11.4
Bi
10.9
15.8
27.3
26.5
20.1
All
9.7
16.7
26.5
25.0
19.5
Bi →Sing. 11.4
16.3
27.5
27.1
20.6
All→Sing. 10.1
17.5
28.2
27.4
20.8
All→Bi
11.7
18.3
28.8
28.2
21.8
All→Bi 1-1
10.2
18.3
28.8
28.3
21.4
All→Bi 1-2
11.0
17.5
29.1
28.2
21.4
All→Bi 1-4
11.1
17.9
28.5
27.9
21.3
Cold Start
Bi−
3.8
2.5
8.6
5.4
5.1
All−
3.7
3.5
15.5
7.3
7.5
Bi−→Sing. 8.7
11.8
25.4
26.8
18.2
All−→Sing. 8.8
15.3
26.5
27.6
19.5
All−→Bi
10.7
17.4
28.4
28.0
21.2
All−→Bi 1-1
10.5
16.0
28.0
28.2
20.7
All−→Bi 1-2
10.7
17.1
28.3
27.9
21.0
All−→Bi 1-4
11.0
17.4
28.4
27.6
21.1
Table 2: BLEU for single-source (Sing.), bi-source
(Bi), and all-source universal (All) models, with
adapted counterparts. 1-1, 1-2, 1-4 indicate balanced
sampling from §2.2. Bold indicates highest score. 0
1
2
3
4
5
6
7
8
9
0
0.03
0.06
0.09
0.12
0.15
aze-tur
Sing. Bi
All-→Sing. 5
Conclusion This paper examined methods to rapidly adapt MT
systems to new languages by fine-tuning. In both
warm-start and cold-start scenarios, the best re-
sults were obtained by adapting a pre-trained uni-
versal model to the low-resource language while
regularizing with similar languages. Melvin Johnson et al. 2016. Google’s multilingual neu-
ral machine translation system: Enabling zero-shot
translation. TACL. Nal Kalchbrenner and Phil Blunsom. 2013. Recurrent
continuous translation models. In Proc. EMNLP,
pages 1700–1709. 4
Related Work While adapting MT systems to new languages
is a long-standing challenge (Schultz and Black,
2006; Jabaian et al., 2013), multilingual NMT is
highly promising in its ability to abstract across 878 language boundaries (Firat et al., 2016; Ha et al.,
2016; Johnson et al., 2016). Results on multi-
lingual training for low-resource translation (Gu
et al., 2018; Qi et al., 2018) further demonstrates
this potential, although these works do not con-
sider adaptation to new languages, the main focus
of our work. Notably, we did not examine par-
tial freezing of parameters, another method proven
useful for cross-lingual adaptation (Zoph et al.,
2016); this is orthogonal to our multi-lingual train-
ing approach but the two methods could poten-
tially be combined. Finally, unsupervised NMT
approaches (Artetxe et al., 2017; Lample et al.,
2018, 2017) require no parallel data, but rest on
strong assumptions about high-quality comparable
monolingual data. As we show, when this assump-
tion breaks down these methods fail to function,
while our cold-start methods achieve non-trivial
accuracies even with no monolingual data. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Ben-
gio. 2015. Neural machine translation by jointly
learning to align and translate. In Proc. ICLR. Michael
Denkowski
and
Graham
Neubig. 2017. Stronger baselines for trustable results in neural ma-
chine translation. In Proc. WNMT. Orhan Firat, Kyunghyun Cho, and Yoshua Bengio. 2016. Multi-way, multilingual neural machine
translation with a shared attention mechanism. In
Proc. NAACL, pages 866–875. Jiatao Gu, Hany Hassan, Jacob Devlin, and Victor OK
Li. 2018. Universal neural machine translation for
extremely low resource languages. Proc. NAACL. Thanh-Le Ha, Jan Niehues, and Alexander Waibel. 2016. Toward multilingual neural machine trans-
lation with universal encoder and decoder. arXiv
preprint arXiv:1611.04798. Bassam
Jabaian,
Laurent
Besacier,
and
Fabrice
Lefevre. 2013. Comparison and combination of
lightly supervised approaches for language porta-
bility of a spoken language understanding system. IEEE Transactions on Audio, Speech, and Language
Processing, 21(3):636–648. Acknowledgements Philipp Koehn and Rebecca Knowles. 2017. Six chal-
lenges for neural machine translation. Proc. WNMT. The authors thank Jaime Carbonell, Xinyi Wang,
Rebecca Knowles, Arya McCarthy, and anony-
mous reviewers for their constructive comments
on this paper. Guillaume
Lample,
Ludovic
Denoyer,
and
Marc’Aurelio
Ranzato. 2017. Unsupervised
machine translation using monolingual corpora
only. This work is sponsored by Defense Advanced
Research Projects Agency Information Innovation
Office (I2O). Program: Low Resource Languages
for Emergent Incidents (LORELEI). Issued by
DARPA/I2O under Contract No. HR0011-15-
C0114. The views and conclusions contained in
this document are those of the authors and should
not be interpreted as representing the official poli-
cies, either expressed or implied, of the U.S. Gov-
ernment. The U.S. Government is authorized to
reproduce and distribute reprints for Government
purposes notwithstanding any copyright notation
here on. Guillaume Lample, Myle Ott, Alexis Conneau, Lu-
dovic Denoyer, and Marc’Aurelio Ranzato. 2018. Phrase-based & neural unsupervised machine trans-
lation. arXiv preprint arXiv:1804.07755. William D. Lewis. 2010. Haitian Creole: how to build
and ship an MT engine from scratch in 4 days, 17
hours, & 30 minutes. In Proc. EAMT. Chaitanya Malaviya, Graham Neubig, and Patrick Lit-
tell. 2017. Learning language representations for ty-
pology prediction. In Proc. EMNLP. Robert Munro. 2010. Crowdsourced translation for
emergency response in Haiti: the global collabora-
tion of local knowledge. In Proc. AMTA Workshop
on Collaborative Crowdsourcing for Translation. References Graham Neubig, Yuichiroh Matsubayashi, Masato
Hagiwara, and Koji Murakami. 2011. Safety infor-
mation mining - what can NLP do in a disaster -. In
Proc. IJCNLP, pages 965–973. Mikel Artetxe, Gorka Labaka, Eneko Agirre, and
Kyunghyun Cho. 2017. Unsupervised neural ma-
chine translation. arXiv preprint arXiv:1710.11041. Mikel Artetxe, Gorka Labaka, Eneko Agirre, and
Kyunghyun Cho. 2017. Unsupervised neural ma-
chine translation. arXiv preprint arXiv:1710.11041. 879 Graham Neubig,
Matthias Sperber,
Xinyi Wang,
Matthieu Felix, Austin Matthews, Sarguna Pad-
manabhan, Ye Qi, Devendra Singh Sachan, Philip
Arthur, Pierre Godard, John Hewitt, Rachid Riad,
and Liming Wang. 2018. XNMT: The extensible
neural machine translation toolkit. In Proc. AMTA,
Boston. Toan Q. Nguyen and David Chiang. 2017. Transfer
learning across low-resource, related languages for
neural machine translation. pages 296–301. Ye Qi, Devendra Sachan, Matthieu Felix, Sarguna Pad-
manabhan, and Graham Neubig. 2018. When and
why are pre-trained word embeddings useful for
neural machine translation? In Proc. NAACL, New
Orleans, USA. Tanja Schultz and Alan W Black. 2006. Challenges
with rapid adaptation of speech translation systems
to new language pairs. In Proc. ICASSP, volume 5. IEEE. Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016. Neural machine translation of rare words with
subword units. In Proc. ACL, pages 1715–1725. Kate Starbird, Grace Muzny, and Leysia Palen. 2012. Learning from the crowd: Collaborative filtering
techniques for identifying on-the-ground Twitterers
during mass disruptions. In Proc. ISCRAM. J¨org Tiedemann. 2018. Emerging language spaces
learned from massively multilingual corpora. arXiv
preprint arXiv:1802.00273. Sarah Vieweg, Amanda L Hughes, Kate Starbird, and
Leysia Palen. 2010. Microblogging during two nat-
ural hazards events: what Twitter may contribute to
situational awareness. In Proc. CHI, pages 1079–
1088. Barret Zoph, Deniz Yuret, Jonathan May, and Kevin
Knight. 2016. Transfer learning for low-resource
neural machine translation. In Proc. EMNLP, pages
1568–1575. 880
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.